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E,o=_e("search-query"),i=A(v(o,"keydown"),v(o,"focus")).pipe(Le(fe),m(()=>o.value),B());return n.pipe(Ze(i),m(([{suggestions:a},c])=>{let f=c.split(/([\s-]+)/);if((a==null?void 0:a.length)&&f[f.length-1]){let u=a[a.length-1];u.startsWith(f[f.length-1])&&(f[f.length-1]=u)}else f.length=0;return f})).subscribe(a=>e.innerHTML=a.join("").replace(/\s/g," ")),r.pipe(x(({mode:a})=>a==="search")).subscribe(a=>{switch(a.type){case"ArrowRight":e.innerText.length&&o.selectionStart===o.value.length&&(o.value=e.innerText);break}}),t.pipe(x(vt),m(({data:a})=>a)).pipe(w(a=>n.next(a)),C(()=>n.complete()),m(()=>({ref:e})))}function Hi(e,{index$:t,keyboard$:r}){let n=le();try{let o=(__search==null?void 0:__search.worker)||n.search,i=Mi(o,t),s=_e("search-query",e),a=_e("search-result",e),{tx$:c,rx$:f}=i;c.pipe(x(Ti),ut(f.pipe(x(bt))),oe(1)).subscribe(c.next.bind(c)),r.pipe(x(({mode:l})=>l==="search")).subscribe(l=>{let d=Ie();switch(l.type){case"Enter":if(d===s){let h=new Map;for(let b of Q(":first-child 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Y([t,r.pipe(N(Oe()),x(n=>!!n.searchParams.get("h")))]).pipe(m(([n,o])=>rn(n.config,!0)(o.searchParams.get("h"))),m(n=>{var s;let o=new Map,i=document.createNodeIterator(e,NodeFilter.SHOW_TEXT);for(let a=i.nextNode();a;a=i.nextNode())if((s=a.parentElement)!=null&&s.offsetHeight){let c=a.textContent,f=n(c);f.length>c.length&&o.set(a,f)}for(let[a,c]of o){let{childNodes:f}=M("span",null,c);a.replaceWith(...Array.from(f))}return{ref:e,nodes:o}}))}function Ps(e,{viewport$:t,main$:r}){let n=e.parentElement,o=n.offsetTop-n.parentElement.offsetTop;return Y([r,t]).pipe(m(([{offset:i,height:s},{offset:{y:a}}])=>(s=s+Math.min(o,Math.max(0,a-i))-o,{height:s,locked:a>=i+o})),B((i,s)=>i.height===s.height&&i.locked===s.locked))}function nn(e,n){var o=n,{header$:t}=o,r=un(o,["header$"]);let i=K(".md-sidebar__scrollwrap",e),{y:s}=qe(i);return P(()=>{let a=new E;return a.pipe(Ae(0,xe),ae(t)).subscribe({next([{height:c},{height:f}]){i.style.height=`${c-2*s}px`,e.style.top=`${f}px`},complete(){i.style.height="",e.style.top=""}}),a.pipe(Le(xe),oe(1)).subscribe(()=>{for(let c of Q(".md-nav__link--active[href]",e)){let f=cr(c);if(typeof f!="undefined"){let u=c.offsetTop-f.offsetTop,{height:p}=he(f);f.scrollTo({top:u-p/2})}}}),Ps(e,r).pipe(w(c=>a.next(c)),C(()=>a.complete()),m(c=>H({ref:e},c)))})}function $i(e,t){if(typeof t!="undefined"){let r=`https://api.github.com/repos/${e}/${t}`;return _t(je(`${r}/releases/latest`).pipe(ce(()=>R),m(n=>({version:n.tag_name})),De({})),je(r).pipe(ce(()=>R),m(n=>({stars:n.stargazers_count,forks:n.forks_count})),De({}))).pipe(m(([n,o])=>H(H({},n),o)))}else{let r=`https://api.github.com/users/${e}`;return je(r).pipe(m(n=>({repositories:n.public_repos})),De({}))}}function Ii(e,t){let r=`https://${e}/api/v4/projects/${encodeURIComponent(t)}`;return je(r).pipe(ce(()=>R),m(({star_count:n,forks_count:o})=>({stars:n,forks:o})),De({}))}function ji(e){let t=e.match(/^.+github\.com\/([^/]+)\/?([^/]+)?/i);if(t){let[,r,n]=t;return $i(r,n)}if(t=e.match(/^.+?([^/]*gitlab[^/]+)\/(.+?)\/?$/i),t){let[,r,n]=t;return Ii(r,n)}return R}var $s;function Is(e){return $s||($s=P(()=>{let t=__md_get("__source",sessionStorage);if(t)return I(t);if(te("consent").length){let n=__md_get("__consent");if(!(n&&n.github))return R}return ji(e.href).pipe(w(n=>__md_set("__source",n,sessionStorage)))}).pipe(ce(()=>R),x(t=>Object.keys(t).length>0),m(t=>({facts:t})),X(1)))}function Fi(e){let t=K(":scope > :last-child",e);return P(()=>{let r=new E;return r.subscribe(({facts:n})=>{t.appendChild(Xo(n)),t.classList.add("md-source__repository--active")}),Is(e).pipe(w(n=>r.next(n)),C(()=>r.complete()),m(n=>H({ref:e},n)))})}function js(e,{viewport$:t,header$:r}){return 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t=this.parentNode;if(t){e.length===0&&t.removeChild(this);for(let r=e.length-1;r>=0;r--){let n=e[r];typeof n=="string"?n=document.createTextNode(n):n.parentNode&&n.parentNode.removeChild(n),r?t.insertBefore(this.previousSibling,n):t.replaceChild(n,this)}}}));document.documentElement.classList.remove("no-js");document.documentElement.classList.add("js");var tt=go(),vr=ko(),gt=jo(),on=Ro(),we=qo(),gr=Kr("(min-width: 960px)"),Ki=Kr("(min-width: 1220px)"),Qi=Fo(),Yi=le(),Bi=document.forms.namedItem("search")?(__search==null?void 0:__search.index)||je(new URL("search/search_index.json",Yi.base)):Se,an=new E;wi({alert$:an});Z("navigation.instant")&&Ei({document$:tt,location$:vr,viewport$:we});var qi;((qi=Yi.version)==null?void 0:qi.provider)==="mike"&&Li({document$:tt});A(vr,gt).pipe(ke(125)).subscribe(()=>{Ke("drawer",!1),Ke("search",!1)});on.pipe(x(({mode:e})=>e==="global")).subscribe(e=>{switch(e.type){case"p":case",":let t=pe("[href][rel=prev]");typeof 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Qe=bi(_e("header"),{viewport$:we}),br=tt.pipe(m(()=>_e("main")),S(e=>yi(e,{viewport$:we,header$:Qe})),X(1)),Ws=A(...te("consent").map(e=>Yo(e,{target$:gt})),...te("dialog").map(e=>hi(e,{alert$:an})),...te("header").map(e=>vi(e,{viewport$:we,header$:Qe,main$:br})),...te("palette").map(e=>xi(e)),...te("search").map(e=>Hi(e,{index$:Bi,keyboard$:on})),...te("source").map(e=>Fi(e))),Vs=P(()=>A(...te("announce").map(e=>Qo(e)),...te("content").map(e=>di(e,{viewport$:we,target$:gt,print$:Qi})),...te("content").map(e=>Z("search.highlight")?Pi(e,{index$:Bi,location$:vr}):R),...te("header-title").map(e=>gi(e,{viewport$:we,header$:Qe})),...te("sidebar").map(e=>e.getAttribute("data-md-type")==="navigation"?Qr(Ki,()=>nn(e,{viewport$:we,header$:Qe,main$:br})):Qr(gr,()=>nn(e,{viewport$:we,header$:Qe,main$:br}))),...te("tabs").map(e=>Ui(e,{viewport$:we,header$:Qe})),...te("toc").map(e=>Di(e,{viewport$:we,header$:Qe,target$:gt})),...te("top").map(e=>Wi(e,{viewport$:we,header$:Qe,main$:br,target$:gt})))),Gi=tt.pipe(S(()=>Vs),et(Ws),X(1));Gi.subscribe();window.document$=tt;window.location$=vr;window.target$=gt;window.keyboard$=on;window.viewport$=we;window.tablet$=gr;window.screen$=Ki;window.print$=Qi;window.alert$=an;window.component$=Gi;})(); 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:\n typeof define === 'function' && define.amd ? define(factory) :\n (factory());\n}(this, (function () { 'use strict';\n\n /**\n * Applies the :focus-visible polyfill at the given scope.\n * A scope in this case is either the top-level Document or a Shadow Root.\n *\n * @param {(Document|ShadowRoot)} scope\n * @see https://github.com/WICG/focus-visible\n */\n function applyFocusVisiblePolyfill(scope) {\n var hadKeyboardEvent = true;\n var hadFocusVisibleRecently = false;\n var hadFocusVisibleRecentlyTimeout = null;\n\n var inputTypesAllowlist = {\n text: true,\n search: true,\n url: true,\n tel: true,\n email: true,\n password: true,\n number: true,\n date: true,\n month: true,\n week: true,\n time: true,\n datetime: true,\n 'datetime-local': true\n };\n\n /**\n * Helper function for legacy browsers and iframes which sometimes focus\n * elements like document, body, and non-interactive SVG.\n * @param {Element} el\n */\n function isValidFocusTarget(el) {\n if (\n el &&\n el !== document &&\n el.nodeName !== 'HTML' &&\n el.nodeName !== 'BODY' &&\n 'classList' in el &&\n 'contains' in el.classList\n ) {\n return true;\n }\n return false;\n }\n\n /**\n * Computes whether the given element should automatically trigger the\n * `focus-visible` class being added, i.e. whether it should always match\n * `:focus-visible` when focused.\n * @param {Element} el\n * @return {boolean}\n */\n function focusTriggersKeyboardModality(el) {\n var type = el.type;\n var tagName = el.tagName;\n\n if (tagName === 'INPUT' && inputTypesAllowlist[type] && !el.readOnly) {\n return true;\n }\n\n if (tagName === 'TEXTAREA' && !el.readOnly) {\n return true;\n }\n\n if (el.isContentEditable) {\n return true;\n }\n\n return false;\n }\n\n /**\n * Add the `focus-visible` class to the given element if it was not added by\n * the author.\n * @param {Element} el\n */\n function addFocusVisibleClass(el) {\n if (el.classList.contains('focus-visible')) {\n return;\n }\n el.classList.add('focus-visible');\n el.setAttribute('data-focus-visible-added', '');\n }\n\n /**\n * Remove the `focus-visible` class from the given element if it was not\n * originally added by the author.\n * @param {Element} el\n */\n function removeFocusVisibleClass(el) {\n if (!el.hasAttribute('data-focus-visible-added')) {\n return;\n }\n el.classList.remove('focus-visible');\n el.removeAttribute('data-focus-visible-added');\n }\n\n /**\n * If the most recent user interaction was via the keyboard;\n * and the key press did not include a meta, alt/option, or control key;\n * then the modality is keyboard. Otherwise, the modality is not keyboard.\n * Apply `focus-visible` to any current active element and keep track\n * of our keyboard modality state with `hadKeyboardEvent`.\n * @param {KeyboardEvent} e\n */\n function onKeyDown(e) {\n if (e.metaKey || e.altKey || e.ctrlKey) {\n return;\n }\n\n if (isValidFocusTarget(scope.activeElement)) {\n addFocusVisibleClass(scope.activeElement);\n }\n\n hadKeyboardEvent = true;\n }\n\n /**\n * If at any point a user clicks with a pointing device, ensure that we change\n * the modality away from keyboard.\n * This avoids the situation where a user presses a key on an already focused\n * element, and then clicks on a different element, focusing it with a\n * pointing device, while we still think we're in keyboard modality.\n * @param {Event} e\n */\n function onPointerDown(e) {\n hadKeyboardEvent = false;\n }\n\n /**\n * On `focus`, add the `focus-visible` class to the target if:\n * - the target received focus as a result of keyboard navigation, or\n * - the event target is an element that will likely require interaction\n * via the keyboard (e.g. a text box)\n * @param {Event} e\n */\n function onFocus(e) {\n // Prevent IE from focusing the document or HTML element.\n if (!isValidFocusTarget(e.target)) {\n return;\n }\n\n if (hadKeyboardEvent || focusTriggersKeyboardModality(e.target)) {\n addFocusVisibleClass(e.target);\n }\n }\n\n /**\n * On `blur`, remove the `focus-visible` class from the target.\n * @param {Event} e\n */\n function onBlur(e) {\n if (!isValidFocusTarget(e.target)) {\n return;\n }\n\n if (\n e.target.classList.contains('focus-visible') ||\n e.target.hasAttribute('data-focus-visible-added')\n ) {\n // To detect a tab/window switch, we look for a blur event followed\n // rapidly by a visibility change.\n // If we don't see a visibility change within 100ms, it's probably a\n // regular focus change.\n hadFocusVisibleRecently = true;\n window.clearTimeout(hadFocusVisibleRecentlyTimeout);\n hadFocusVisibleRecentlyTimeout = window.setTimeout(function() {\n hadFocusVisibleRecently = false;\n }, 100);\n removeFocusVisibleClass(e.target);\n }\n }\n\n /**\n * If the user changes tabs, keep track of whether or not the previously\n * focused element had .focus-visible.\n * @param {Event} e\n */\n function onVisibilityChange(e) {\n if (document.visibilityState === 'hidden') {\n // If the tab becomes active again, the browser will handle calling focus\n // on the element (Safari actually calls it twice).\n // If this tab change caused a blur on an element with focus-visible,\n // re-apply the class when the user switches back to the tab.\n if (hadFocusVisibleRecently) {\n hadKeyboardEvent = true;\n }\n addInitialPointerMoveListeners();\n }\n }\n\n /**\n * Add a group of listeners to detect usage of any pointing devices.\n * These listeners will be added when the polyfill first loads, and anytime\n * the window is blurred, so that they are active when the window regains\n * focus.\n */\n function addInitialPointerMoveListeners() {\n document.addEventListener('mousemove', onInitialPointerMove);\n document.addEventListener('mousedown', onInitialPointerMove);\n document.addEventListener('mouseup', onInitialPointerMove);\n document.addEventListener('pointermove', onInitialPointerMove);\n document.addEventListener('pointerdown', onInitialPointerMove);\n document.addEventListener('pointerup', onInitialPointerMove);\n document.addEventListener('touchmove', onInitialPointerMove);\n document.addEventListener('touchstart', onInitialPointerMove);\n document.addEventListener('touchend', onInitialPointerMove);\n }\n\n function removeInitialPointerMoveListeners() {\n document.removeEventListener('mousemove', onInitialPointerMove);\n document.removeEventListener('mousedown', onInitialPointerMove);\n document.removeEventListener('mouseup', onInitialPointerMove);\n document.removeEventListener('pointermove', onInitialPointerMove);\n document.removeEventListener('pointerdown', onInitialPointerMove);\n document.removeEventListener('pointerup', onInitialPointerMove);\n document.removeEventListener('touchmove', onInitialPointerMove);\n document.removeEventListener('touchstart', onInitialPointerMove);\n document.removeEventListener('touchend', onInitialPointerMove);\n }\n\n /**\n * When the polfyill first loads, assume the user is in keyboard modality.\n * If any event is received from a pointing device (e.g. mouse, pointer,\n * touch), turn off keyboard modality.\n * This accounts for situations where focus enters the page from the URL bar.\n * @param {Event} e\n */\n function onInitialPointerMove(e) {\n // Work around a Safari quirk that fires a mousemove on whenever the\n // window blurs, even if you're tabbing out of the page. \u00AF\\_(\u30C4)_/\u00AF\n if (e.target.nodeName && e.target.nodeName.toLowerCase() === 'html') {\n return;\n }\n\n hadKeyboardEvent = false;\n removeInitialPointerMoveListeners();\n }\n\n // For some kinds of state, we are interested in changes at the global scope\n // only. For example, global pointer input, global key presses and global\n // visibility change should affect the state at every scope:\n document.addEventListener('keydown', onKeyDown, true);\n document.addEventListener('mousedown', onPointerDown, true);\n document.addEventListener('pointerdown', onPointerDown, true);\n document.addEventListener('touchstart', onPointerDown, true);\n document.addEventListener('visibilitychange', onVisibilityChange, true);\n\n addInitialPointerMoveListeners();\n\n // For focus and blur, we specifically care about state changes in the local\n // scope. This is because focus / blur events that originate from within a\n // shadow root are not re-dispatched from the host element if it was already\n // the active element in its own scope:\n scope.addEventListener('focus', onFocus, true);\n scope.addEventListener('blur', onBlur, true);\n\n // We detect that a node is a ShadowRoot by ensuring that it is a\n // DocumentFragment and also has a host property. This check covers native\n // implementation and polyfill implementation transparently. If we only cared\n // about the native implementation, we could just check if the scope was\n // an instance of a ShadowRoot.\n if (scope.nodeType === Node.DOCUMENT_FRAGMENT_NODE && scope.host) {\n // Since a ShadowRoot is a special kind of DocumentFragment, it does not\n // have a root element to add a class to. So, we add this attribute to the\n // host element instead:\n scope.host.setAttribute('data-js-focus-visible', '');\n } else if (scope.nodeType === Node.DOCUMENT_NODE) {\n document.documentElement.classList.add('js-focus-visible');\n document.documentElement.setAttribute('data-js-focus-visible', '');\n }\n }\n\n // It is important to wrap all references to global window and document in\n // these checks to support server-side rendering use cases\n // @see https://github.com/WICG/focus-visible/issues/199\n if (typeof window !== 'undefined' && typeof document !== 'undefined') {\n // Make the polyfill helper globally available. This can be used as a signal\n // to interested libraries that wish to coordinate with the polyfill for e.g.,\n // applying the polyfill to a shadow root:\n window.applyFocusVisiblePolyfill = applyFocusVisiblePolyfill;\n\n // Notify interested libraries of the polyfill's presence, in case the\n // polyfill was loaded lazily:\n var event;\n\n try {\n event = new CustomEvent('focus-visible-polyfill-ready');\n } catch (error) {\n // IE11 does not support using CustomEvent as a constructor directly:\n event = document.createEvent('CustomEvent');\n event.initCustomEvent('focus-visible-polyfill-ready', false, false, {});\n }\n\n window.dispatchEvent(event);\n }\n\n if (typeof document !== 'undefined') {\n // Apply the polyfill to the global document, so that no JavaScript\n // coordination is required to use the polyfill in the top-level document:\n applyFocusVisiblePolyfill(document);\n }\n\n})));\n", "(function(global) {\r\n /**\r\n * Polyfill URLSearchParams\r\n *\r\n * Inspired from : https://github.com/WebReflection/url-search-params/blob/master/src/url-search-params.js\r\n */\r\n\r\n var checkIfIteratorIsSupported = function() {\r\n try {\r\n return !!Symbol.iterator;\r\n } catch (error) {\r\n return false;\r\n }\r\n };\r\n\r\n\r\n var iteratorSupported = checkIfIteratorIsSupported();\r\n\r\n var createIterator = function(items) {\r\n var iterator = {\r\n next: function() {\r\n var value = items.shift();\r\n return { done: value === void 0, value: value };\r\n }\r\n };\r\n\r\n if (iteratorSupported) {\r\n iterator[Symbol.iterator] = function() {\r\n return iterator;\r\n };\r\n }\r\n\r\n return iterator;\r\n };\r\n\r\n /**\r\n * Search param name and values should be encoded according to https://url.spec.whatwg.org/#urlencoded-serializing\r\n * encodeURIComponent() produces the same result except encoding spaces as `%20` instead of `+`.\r\n */\r\n var serializeParam = function(value) {\r\n return encodeURIComponent(value).replace(/%20/g, '+');\r\n };\r\n\r\n var deserializeParam = function(value) {\r\n return decodeURIComponent(String(value).replace(/\\+/g, ' '));\r\n };\r\n\r\n var polyfillURLSearchParams = function() {\r\n\r\n var URLSearchParams = function(searchString) {\r\n Object.defineProperty(this, '_entries', { writable: true, value: {} });\r\n var typeofSearchString = typeof searchString;\r\n\r\n if (typeofSearchString === 'undefined') {\r\n // do nothing\r\n } else if (typeofSearchString === 'string') {\r\n if (searchString !== '') {\r\n this._fromString(searchString);\r\n }\r\n } else if (searchString instanceof URLSearchParams) {\r\n var _this = this;\r\n searchString.forEach(function(value, name) {\r\n _this.append(name, value);\r\n });\r\n } else if ((searchString !== null) && (typeofSearchString === 'object')) {\r\n if (Object.prototype.toString.call(searchString) === '[object Array]') {\r\n for (var i = 0; i < searchString.length; i++) {\r\n var entry = searchString[i];\r\n if ((Object.prototype.toString.call(entry) === '[object Array]') || (entry.length !== 2)) {\r\n this.append(entry[0], entry[1]);\r\n } else {\r\n throw new TypeError('Expected [string, any] as entry at index ' + i + ' of URLSearchParams\\'s input');\r\n }\r\n }\r\n } else {\r\n for (var key in searchString) {\r\n if (searchString.hasOwnProperty(key)) {\r\n this.append(key, searchString[key]);\r\n }\r\n }\r\n }\r\n } else {\r\n throw new TypeError('Unsupported input\\'s type for URLSearchParams');\r\n }\r\n };\r\n\r\n var proto = URLSearchParams.prototype;\r\n\r\n proto.append = function(name, value) {\r\n if (name in this._entries) {\r\n this._entries[name].push(String(value));\r\n } else {\r\n this._entries[name] = [String(value)];\r\n }\r\n };\r\n\r\n proto.delete = function(name) {\r\n delete this._entries[name];\r\n };\r\n\r\n proto.get = function(name) {\r\n return (name in this._entries) ? this._entries[name][0] : null;\r\n };\r\n\r\n proto.getAll = function(name) {\r\n return (name in this._entries) ? this._entries[name].slice(0) : [];\r\n };\r\n\r\n proto.has = function(name) {\r\n return (name in this._entries);\r\n };\r\n\r\n proto.set = function(name, value) {\r\n this._entries[name] = [String(value)];\r\n };\r\n\r\n proto.forEach = function(callback, thisArg) {\r\n var entries;\r\n for (var name in this._entries) {\r\n if (this._entries.hasOwnProperty(name)) {\r\n entries = this._entries[name];\r\n for (var i = 0; i < entries.length; i++) {\r\n callback.call(thisArg, entries[i], name, this);\r\n }\r\n }\r\n }\r\n };\r\n\r\n proto.keys = function() {\r\n var items = [];\r\n this.forEach(function(value, name) {\r\n items.push(name);\r\n });\r\n return createIterator(items);\r\n };\r\n\r\n proto.values = function() {\r\n var items = [];\r\n this.forEach(function(value) {\r\n items.push(value);\r\n });\r\n return createIterator(items);\r\n };\r\n\r\n proto.entries = function() {\r\n var items = [];\r\n this.forEach(function(value, name) {\r\n items.push([name, value]);\r\n });\r\n return createIterator(items);\r\n };\r\n\r\n if (iteratorSupported) {\r\n proto[Symbol.iterator] = proto.entries;\r\n }\r\n\r\n proto.toString = function() {\r\n var searchArray = [];\r\n this.forEach(function(value, name) {\r\n searchArray.push(serializeParam(name) + '=' + serializeParam(value));\r\n });\r\n return searchArray.join('&');\r\n };\r\n\r\n\r\n global.URLSearchParams = URLSearchParams;\r\n };\r\n\r\n var checkIfURLSearchParamsSupported = function() {\r\n try {\r\n var URLSearchParams = global.URLSearchParams;\r\n\r\n return (\r\n (new URLSearchParams('?a=1').toString() === 'a=1') &&\r\n (typeof URLSearchParams.prototype.set === 'function') &&\r\n (typeof URLSearchParams.prototype.entries === 'function')\r\n );\r\n } catch (e) {\r\n return false;\r\n }\r\n };\r\n\r\n if (!checkIfURLSearchParamsSupported()) {\r\n polyfillURLSearchParams();\r\n }\r\n\r\n var proto = global.URLSearchParams.prototype;\r\n\r\n if (typeof proto.sort !== 'function') {\r\n proto.sort = function() {\r\n var _this = this;\r\n var items = [];\r\n this.forEach(function(value, name) {\r\n items.push([name, value]);\r\n if (!_this._entries) {\r\n _this.delete(name);\r\n }\r\n });\r\n items.sort(function(a, b) {\r\n if (a[0] < b[0]) {\r\n return -1;\r\n } else if (a[0] > b[0]) {\r\n return +1;\r\n } else {\r\n return 0;\r\n }\r\n });\r\n if (_this._entries) { // force reset because IE keeps keys index\r\n _this._entries = {};\r\n }\r\n for (var i = 0; i < items.length; i++) {\r\n this.append(items[i][0], items[i][1]);\r\n }\r\n };\r\n }\r\n\r\n if (typeof proto._fromString !== 'function') {\r\n Object.defineProperty(proto, '_fromString', {\r\n enumerable: false,\r\n configurable: false,\r\n writable: false,\r\n value: function(searchString) {\r\n if (this._entries) {\r\n this._entries = {};\r\n } else {\r\n var keys = [];\r\n this.forEach(function(value, name) {\r\n keys.push(name);\r\n });\r\n for (var i = 0; i < keys.length; i++) {\r\n this.delete(keys[i]);\r\n }\r\n }\r\n\r\n searchString = searchString.replace(/^\\?/, '');\r\n var attributes = searchString.split('&');\r\n var attribute;\r\n for (var i = 0; i < attributes.length; i++) {\r\n attribute = attributes[i].split('=');\r\n this.append(\r\n deserializeParam(attribute[0]),\r\n (attribute.length > 1) ? deserializeParam(attribute[1]) : ''\r\n );\r\n }\r\n }\r\n });\r\n }\r\n\r\n // HTMLAnchorElement\r\n\r\n})(\r\n (typeof global !== 'undefined') ? global\r\n : ((typeof window !== 'undefined') ? window\r\n : ((typeof self !== 'undefined') ? self : this))\r\n);\r\n\r\n(function(global) {\r\n /**\r\n * Polyfill URL\r\n *\r\n * Inspired from : https://github.com/arv/DOM-URL-Polyfill/blob/master/src/url.js\r\n */\r\n\r\n var checkIfURLIsSupported = function() {\r\n try {\r\n var u = new global.URL('b', 'http://a');\r\n u.pathname = 'c d';\r\n return (u.href === 'http://a/c%20d') && u.searchParams;\r\n } catch (e) {\r\n return false;\r\n }\r\n };\r\n\r\n\r\n var polyfillURL = function() {\r\n var _URL = global.URL;\r\n\r\n var URL = function(url, base) {\r\n if (typeof url !== 'string') url = String(url);\r\n if (base && typeof base !== 'string') base = String(base);\r\n\r\n // Only create another document if the base is different from current location.\r\n var doc = document, baseElement;\r\n if (base && (global.location === void 0 || base !== global.location.href)) {\r\n base = base.toLowerCase();\r\n doc = document.implementation.createHTMLDocument('');\r\n baseElement = doc.createElement('base');\r\n baseElement.href = base;\r\n doc.head.appendChild(baseElement);\r\n try {\r\n if (baseElement.href.indexOf(base) !== 0) throw new Error(baseElement.href);\r\n } catch (err) {\r\n throw new Error('URL unable to set base ' + base + ' due to ' + err);\r\n }\r\n }\r\n\r\n var anchorElement = doc.createElement('a');\r\n anchorElement.href = url;\r\n if (baseElement) {\r\n doc.body.appendChild(anchorElement);\r\n anchorElement.href = anchorElement.href; // force href to refresh\r\n }\r\n\r\n var inputElement = doc.createElement('input');\r\n inputElement.type = 'url';\r\n inputElement.value = url;\r\n\r\n if (anchorElement.protocol === ':' || !/:/.test(anchorElement.href) || (!inputElement.checkValidity() && !base)) {\r\n throw new TypeError('Invalid URL');\r\n }\r\n\r\n Object.defineProperty(this, '_anchorElement', {\r\n value: anchorElement\r\n });\r\n\r\n\r\n // create a linked searchParams which reflect its changes on URL\r\n var searchParams = new global.URLSearchParams(this.search);\r\n var enableSearchUpdate = true;\r\n var enableSearchParamsUpdate = true;\r\n var _this = this;\r\n ['append', 'delete', 'set'].forEach(function(methodName) {\r\n var method = searchParams[methodName];\r\n searchParams[methodName] = function() {\r\n method.apply(searchParams, arguments);\r\n if (enableSearchUpdate) {\r\n enableSearchParamsUpdate = false;\r\n _this.search = searchParams.toString();\r\n enableSearchParamsUpdate = true;\r\n }\r\n };\r\n });\r\n\r\n Object.defineProperty(this, 'searchParams', {\r\n value: searchParams,\r\n enumerable: true\r\n });\r\n\r\n var search = void 0;\r\n Object.defineProperty(this, '_updateSearchParams', {\r\n enumerable: false,\r\n configurable: false,\r\n writable: false,\r\n value: function() {\r\n if (this.search !== search) {\r\n search = this.search;\r\n if (enableSearchParamsUpdate) {\r\n enableSearchUpdate = false;\r\n this.searchParams._fromString(this.search);\r\n enableSearchUpdate = true;\r\n }\r\n }\r\n }\r\n });\r\n };\r\n\r\n var proto = URL.prototype;\r\n\r\n var linkURLWithAnchorAttribute = function(attributeName) {\r\n Object.defineProperty(proto, attributeName, {\r\n get: function() {\r\n return this._anchorElement[attributeName];\r\n },\r\n set: function(value) {\r\n this._anchorElement[attributeName] = value;\r\n },\r\n enumerable: true\r\n });\r\n };\r\n\r\n ['hash', 'host', 'hostname', 'port', 'protocol']\r\n .forEach(function(attributeName) {\r\n linkURLWithAnchorAttribute(attributeName);\r\n });\r\n\r\n Object.defineProperty(proto, 'search', {\r\n get: function() {\r\n return this._anchorElement['search'];\r\n },\r\n set: function(value) {\r\n this._anchorElement['search'] = value;\r\n this._updateSearchParams();\r\n },\r\n enumerable: true\r\n });\r\n\r\n Object.defineProperties(proto, {\r\n\r\n 'toString': {\r\n get: function() {\r\n var _this = this;\r\n return function() {\r\n return _this.href;\r\n };\r\n }\r\n },\r\n\r\n 'href': {\r\n get: function() {\r\n return this._anchorElement.href.replace(/\\?$/, '');\r\n },\r\n set: function(value) {\r\n this._anchorElement.href = value;\r\n this._updateSearchParams();\r\n },\r\n enumerable: true\r\n },\r\n\r\n 'pathname': {\r\n get: function() {\r\n return this._anchorElement.pathname.replace(/(^\\/?)/, '/');\r\n },\r\n set: function(value) {\r\n this._anchorElement.pathname = value;\r\n },\r\n enumerable: true\r\n },\r\n\r\n 'origin': {\r\n get: function() {\r\n // get expected port from protocol\r\n var expectedPort = { 'http:': 80, 'https:': 443, 'ftp:': 21 }[this._anchorElement.protocol];\r\n // add port to origin if, expected port is different than actual port\r\n // and it is not empty f.e http://foo:8080\r\n // 8080 != 80 && 8080 != ''\r\n var addPortToOrigin = this._anchorElement.port != expectedPort &&\r\n this._anchorElement.port !== '';\r\n\r\n return this._anchorElement.protocol +\r\n '//' +\r\n this._anchorElement.hostname +\r\n (addPortToOrigin ? (':' + this._anchorElement.port) : '');\r\n },\r\n enumerable: true\r\n },\r\n\r\n 'password': { // TODO\r\n get: function() {\r\n return '';\r\n },\r\n set: function(value) {\r\n },\r\n enumerable: true\r\n },\r\n\r\n 'username': { // TODO\r\n get: function() {\r\n return '';\r\n },\r\n set: function(value) {\r\n },\r\n enumerable: true\r\n },\r\n });\r\n\r\n URL.createObjectURL = function(blob) {\r\n return _URL.createObjectURL.apply(_URL, arguments);\r\n };\r\n\r\n URL.revokeObjectURL = function(url) {\r\n return _URL.revokeObjectURL.apply(_URL, arguments);\r\n };\r\n\r\n global.URL = URL;\r\n\r\n };\r\n\r\n if (!checkIfURLIsSupported()) {\r\n polyfillURL();\r\n }\r\n\r\n if ((global.location !== void 0) && !('origin' in global.location)) {\r\n var getOrigin = function() {\r\n return global.location.protocol + '//' + global.location.hostname + (global.location.port ? 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IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,\r\nINDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM\r\nLOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR\r\nOTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR\r\nPERFORMANCE OF THIS SOFTWARE.\r\n***************************************************************************** */\r\n/* global global, define, System, Reflect, Promise */\r\nvar __extends;\r\nvar __assign;\r\nvar __rest;\r\nvar __decorate;\r\nvar __param;\r\nvar __metadata;\r\nvar __awaiter;\r\nvar __generator;\r\nvar __exportStar;\r\nvar __values;\r\nvar __read;\r\nvar __spread;\r\nvar __spreadArrays;\r\nvar __spreadArray;\r\nvar __await;\r\nvar __asyncGenerator;\r\nvar __asyncDelegator;\r\nvar __asyncValues;\r\nvar __makeTemplateObject;\r\nvar __importStar;\r\nvar __importDefault;\r\nvar __classPrivateFieldGet;\r\nvar __classPrivateFieldSet;\r\nvar __createBinding;\r\n(function (factory) {\r\n var root = typeof global === \"object\" ? global : typeof self === \"object\" ? self : typeof this === \"object\" ? this : {};\r\n if (typeof define === \"function\" && define.amd) {\r\n define(\"tslib\", [\"exports\"], function (exports) { factory(createExporter(root, createExporter(exports))); });\r\n }\r\n else if (typeof module === \"object\" && typeof module.exports === \"object\") {\r\n factory(createExporter(root, createExporter(module.exports)));\r\n }\r\n else {\r\n factory(createExporter(root));\r\n }\r\n function createExporter(exports, previous) {\r\n if (exports !== root) {\r\n if (typeof Object.create === \"function\") {\r\n Object.defineProperty(exports, \"__esModule\", { value: true });\r\n }\r\n else {\r\n exports.__esModule = true;\r\n }\r\n }\r\n return function (id, v) { return exports[id] = previous ? previous(id, v) : v; };\r\n }\r\n})\r\n(function (exporter) {\r\n var extendStatics = Object.setPrototypeOf ||\r\n ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\r\n function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\r\n\r\n __extends = function (d, b) {\r\n if (typeof b !== \"function\" && b !== null)\r\n throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\r\n extendStatics(d, b);\r\n function __() { this.constructor = d; }\r\n d.prototype = b === null ? 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'right' : 'left'] = '-9999px'; // Move element to the same position vertically\n\n var yPosition = window.pageYOffset || document.documentElement.scrollTop;\n fakeElement.style.top = \"\".concat(yPosition, \"px\");\n fakeElement.setAttribute('readonly', '');\n fakeElement.value = value;\n return fakeElement;\n}\n;// CONCATENATED MODULE: ./src/actions/copy.js\n\n\n\n/**\n * Create fake copy action wrapper using a fake element.\n * @param {String} target\n * @param {Object} options\n * @return {String}\n */\n\nvar fakeCopyAction = function fakeCopyAction(value, options) {\n var fakeElement = createFakeElement(value);\n options.container.appendChild(fakeElement);\n var selectedText = select_default()(fakeElement);\n command('copy');\n fakeElement.remove();\n return selectedText;\n};\n/**\n * Copy action wrapper.\n * @param {String|HTMLElement} target\n * @param {Object} options\n * @return {String}\n */\n\n\nvar ClipboardActionCopy = function ClipboardActionCopy(target) {\n var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {\n container: document.body\n };\n var selectedText = '';\n\n if (typeof target === 'string') {\n selectedText = fakeCopyAction(target, options);\n } else if (target instanceof HTMLInputElement && !['text', 'search', 'url', 'tel', 'password'].includes(target === null || target === void 0 ? void 0 : target.type)) {\n // If input type doesn't support `setSelectionRange`. Simulate it. https://developer.mozilla.org/en-US/docs/Web/API/HTMLInputElement/setSelectionRange\n selectedText = fakeCopyAction(target.value, options);\n } else {\n selectedText = select_default()(target);\n command('copy');\n }\n\n return selectedText;\n};\n\n/* harmony default export */ var actions_copy = (ClipboardActionCopy);\n;// CONCATENATED MODULE: ./src/actions/default.js\nfunction _typeof(obj) { \"@babel/helpers - typeof\"; if (typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\") { _typeof = function _typeof(obj) { return typeof obj; }; } else { _typeof = function _typeof(obj) { return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj; }; } return _typeof(obj); }\n\n\n\n/**\n * Inner function which performs selection from either `text` or `target`\n * properties and then executes copy or cut operations.\n * @param {Object} options\n */\n\nvar ClipboardActionDefault = function ClipboardActionDefault() {\n var options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n // Defines base properties passed from constructor.\n var _options$action = options.action,\n action = _options$action === void 0 ? 'copy' : _options$action,\n container = options.container,\n target = options.target,\n text = options.text; // Sets the `action` to be performed which can be either 'copy' or 'cut'.\n\n if (action !== 'copy' && action !== 'cut') {\n throw new Error('Invalid \"action\" value, use either \"copy\" or \"cut\"');\n } // Sets the `target` property using an element that will be have its content copied.\n\n\n if (target !== undefined) {\n if (target && _typeof(target) === 'object' && target.nodeType === 1) {\n if (action === 'copy' && target.hasAttribute('disabled')) {\n throw new Error('Invalid \"target\" attribute. Please use \"readonly\" instead of \"disabled\" attribute');\n }\n\n if (action === 'cut' && (target.hasAttribute('readonly') || target.hasAttribute('disabled'))) {\n throw new Error('Invalid \"target\" attribute. You can\\'t cut text from elements with \"readonly\" or \"disabled\" attributes');\n }\n } else {\n throw new Error('Invalid \"target\" value, use a valid Element');\n }\n } // Define selection strategy based on `text` property.\n\n\n if (text) {\n return actions_copy(text, {\n container: container\n });\n } // Defines which selection strategy based on `target` property.\n\n\n if (target) {\n return action === 'cut' ? actions_cut(target) : actions_copy(target, {\n container: container\n });\n }\n};\n\n/* harmony default export */ var actions_default = (ClipboardActionDefault);\n;// CONCATENATED MODULE: ./src/clipboard.js\nfunction clipboard_typeof(obj) { \"@babel/helpers - typeof\"; if (typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\") { clipboard_typeof = function _typeof(obj) { return typeof obj; }; } else { clipboard_typeof = function _typeof(obj) { return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj; }; } return clipboard_typeof(obj); }\n\nfunction _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError(\"Cannot call a class as a function\"); } }\n\nfunction _defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if (\"value\" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } }\n\nfunction _createClass(Constructor, protoProps, staticProps) { if (protoProps) _defineProperties(Constructor.prototype, protoProps); if (staticProps) _defineProperties(Constructor, staticProps); return Constructor; }\n\nfunction _inherits(subClass, superClass) { if (typeof superClass !== \"function\" && superClass !== null) { throw new TypeError(\"Super expression must either be null or a function\"); } subClass.prototype = Object.create(superClass && superClass.prototype, { constructor: { value: subClass, writable: true, configurable: true } }); if (superClass) _setPrototypeOf(subClass, superClass); }\n\nfunction _setPrototypeOf(o, p) { _setPrototypeOf = Object.setPrototypeOf || function _setPrototypeOf(o, p) { o.__proto__ = p; return o; }; return _setPrototypeOf(o, p); }\n\nfunction _createSuper(Derived) { var hasNativeReflectConstruct = _isNativeReflectConstruct(); return function _createSuperInternal() { var Super = _getPrototypeOf(Derived), result; if (hasNativeReflectConstruct) { var NewTarget = _getPrototypeOf(this).constructor; result = Reflect.construct(Super, arguments, NewTarget); } else { result = Super.apply(this, arguments); } return _possibleConstructorReturn(this, result); }; }\n\nfunction _possibleConstructorReturn(self, call) { if (call && (clipboard_typeof(call) === \"object\" || typeof call === \"function\")) { return call; } return _assertThisInitialized(self); }\n\nfunction _assertThisInitialized(self) { if (self === void 0) { throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\"); } return self; }\n\nfunction _isNativeReflectConstruct() { if (typeof Reflect === \"undefined\" || !Reflect.construct) return false; if (Reflect.construct.sham) return false; if (typeof Proxy === \"function\") return true; try { Date.prototype.toString.call(Reflect.construct(Date, [], function () {})); return true; } catch (e) { return false; } }\n\nfunction _getPrototypeOf(o) { _getPrototypeOf = Object.setPrototypeOf ? Object.getPrototypeOf : function _getPrototypeOf(o) { return o.__proto__ || Object.getPrototypeOf(o); }; return _getPrototypeOf(o); }\n\n\n\n\n\n\n/**\n * Helper function to retrieve attribute value.\n * @param {String} suffix\n * @param {Element} element\n */\n\nfunction getAttributeValue(suffix, element) {\n var attribute = \"data-clipboard-\".concat(suffix);\n\n if (!element.hasAttribute(attribute)) {\n return;\n }\n\n return element.getAttribute(attribute);\n}\n/**\n * Base class which takes one or more elements, adds event listeners to them,\n * and instantiates a new `ClipboardAction` on each click.\n */\n\n\nvar Clipboard = /*#__PURE__*/function (_Emitter) {\n _inherits(Clipboard, _Emitter);\n\n var _super = _createSuper(Clipboard);\n\n /**\n * @param {String|HTMLElement|HTMLCollection|NodeList} trigger\n * @param {Object} options\n */\n function Clipboard(trigger, options) {\n var _this;\n\n _classCallCheck(this, Clipboard);\n\n _this = _super.call(this);\n\n _this.resolveOptions(options);\n\n _this.listenClick(trigger);\n\n return _this;\n }\n /**\n * Defines if attributes would be resolved using internal setter functions\n * or custom functions that were passed in the constructor.\n * @param {Object} options\n */\n\n\n _createClass(Clipboard, [{\n key: \"resolveOptions\",\n value: function resolveOptions() {\n var options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n this.action = typeof options.action === 'function' ? options.action : this.defaultAction;\n this.target = typeof options.target === 'function' ? options.target : this.defaultTarget;\n this.text = typeof options.text === 'function' ? options.text : this.defaultText;\n this.container = clipboard_typeof(options.container) === 'object' ? options.container : document.body;\n }\n /**\n * Adds a click event listener to the passed trigger.\n * @param {String|HTMLElement|HTMLCollection|NodeList} trigger\n */\n\n }, {\n key: \"listenClick\",\n value: function listenClick(trigger) {\n var _this2 = this;\n\n this.listener = listen_default()(trigger, 'click', function (e) {\n return _this2.onClick(e);\n });\n }\n /**\n * Defines a new `ClipboardAction` on each click event.\n * @param {Event} e\n */\n\n }, {\n key: \"onClick\",\n value: function onClick(e) {\n var trigger = e.delegateTarget || e.currentTarget;\n var action = this.action(trigger) || 'copy';\n var text = actions_default({\n action: action,\n container: this.container,\n target: this.target(trigger),\n text: this.text(trigger)\n }); // Fires an event based on the copy operation result.\n\n this.emit(text ? 'success' : 'error', {\n action: action,\n text: text,\n trigger: trigger,\n clearSelection: function clearSelection() {\n if (trigger) {\n trigger.focus();\n }\n\n window.getSelection().removeAllRanges();\n }\n });\n }\n /**\n * Default `action` lookup function.\n * @param {Element} trigger\n */\n\n }, {\n key: \"defaultAction\",\n value: function defaultAction(trigger) {\n return getAttributeValue('action', trigger);\n }\n /**\n * Default `target` lookup function.\n * @param {Element} trigger\n */\n\n }, {\n key: \"defaultTarget\",\n value: function defaultTarget(trigger) {\n var selector = getAttributeValue('target', trigger);\n\n if (selector) {\n return document.querySelector(selector);\n }\n }\n /**\n * Allow fire programmatically a copy action\n * @param {String|HTMLElement} target\n * @param {Object} options\n * @returns Text copied.\n */\n\n }, {\n key: \"defaultText\",\n\n /**\n * Default `text` lookup function.\n * @param {Element} trigger\n */\n value: function defaultText(trigger) {\n return getAttributeValue('text', trigger);\n }\n /**\n * Destroy lifecycle.\n */\n\n }, {\n key: \"destroy\",\n value: function destroy() {\n this.listener.destroy();\n }\n }], [{\n key: \"copy\",\n value: function copy(target) {\n var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {\n container: document.body\n };\n return actions_copy(target, options);\n }\n /**\n * Allow fire programmatically a cut action\n * @param {String|HTMLElement} target\n * @returns Text cutted.\n */\n\n }, {\n key: \"cut\",\n value: function cut(target) {\n return actions_cut(target);\n }\n /**\n * Returns the support of the given action, or all actions if no action is\n * given.\n * @param {String} [action]\n */\n\n }, {\n key: \"isSupported\",\n value: function isSupported() {\n var action = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : ['copy', 'cut'];\n var actions = typeof action === 'string' ? [action] : action;\n var support = !!document.queryCommandSupported;\n actions.forEach(function (action) {\n support = support && !!document.queryCommandSupported(action);\n });\n return support;\n }\n }]);\n\n return Clipboard;\n}((tiny_emitter_default()));\n\n/* harmony default export */ var clipboard = (Clipboard);\n\n/***/ }),\n\n/***/ 828:\n/***/ (function(module) {\n\nvar DOCUMENT_NODE_TYPE = 9;\n\n/**\n * A polyfill for Element.matches()\n */\nif (typeof Element !== 'undefined' && !Element.prototype.matches) {\n var proto = Element.prototype;\n\n proto.matches = proto.matchesSelector ||\n proto.mozMatchesSelector ||\n proto.msMatchesSelector ||\n proto.oMatchesSelector ||\n proto.webkitMatchesSelector;\n}\n\n/**\n * Finds the closest parent that matches a selector.\n *\n * @param {Element} element\n * @param {String} selector\n * @return {Function}\n */\nfunction closest (element, selector) {\n while (element && element.nodeType !== DOCUMENT_NODE_TYPE) {\n if (typeof element.matches === 'function' &&\n element.matches(selector)) {\n return element;\n }\n element = element.parentNode;\n }\n}\n\nmodule.exports = closest;\n\n\n/***/ }),\n\n/***/ 438:\n/***/ (function(module, __unused_webpack_exports, __webpack_require__) {\n\nvar closest = __webpack_require__(828);\n\n/**\n * Delegates event to a selector.\n *\n * @param {Element} element\n * @param {String} selector\n * @param {String} type\n * @param {Function} callback\n * @param {Boolean} useCapture\n * @return {Object}\n */\nfunction _delegate(element, selector, type, callback, useCapture) {\n var listenerFn = listener.apply(this, arguments);\n\n element.addEventListener(type, listenerFn, useCapture);\n\n return {\n destroy: function() {\n element.removeEventListener(type, listenerFn, useCapture);\n }\n }\n}\n\n/**\n * Delegates event to a selector.\n *\n * @param {Element|String|Array} [elements]\n * @param {String} selector\n * @param {String} type\n * @param {Function} callback\n * @param {Boolean} useCapture\n * @return {Object}\n */\nfunction delegate(elements, selector, type, callback, useCapture) {\n // Handle the regular Element usage\n if (typeof elements.addEventListener === 'function') {\n return _delegate.apply(null, arguments);\n }\n\n // Handle Element-less usage, it defaults to global delegation\n if (typeof type === 'function') {\n // Use `document` as the first parameter, then apply arguments\n // This is a short way to .unshift `arguments` without running into deoptimizations\n return _delegate.bind(null, document).apply(null, arguments);\n }\n\n // Handle Selector-based usage\n if (typeof elements === 'string') {\n elements = document.querySelectorAll(elements);\n }\n\n // Handle Array-like based usage\n return Array.prototype.map.call(elements, function (element) {\n return _delegate(element, selector, type, callback, useCapture);\n });\n}\n\n/**\n * Finds closest match and invokes callback.\n *\n * @param {Element} element\n * @param {String} selector\n * @param {String} type\n * @param {Function} callback\n * @return {Function}\n */\nfunction listener(element, selector, type, callback) {\n return function(e) {\n e.delegateTarget = closest(e.target, selector);\n\n if (e.delegateTarget) {\n callback.call(element, e);\n }\n }\n}\n\nmodule.exports = delegate;\n\n\n/***/ }),\n\n/***/ 879:\n/***/ (function(__unused_webpack_module, exports) {\n\n/**\n * Check if argument is a HTML element.\n *\n * @param {Object} value\n * @return {Boolean}\n */\nexports.node = function(value) {\n return value !== undefined\n && value instanceof HTMLElement\n && value.nodeType === 1;\n};\n\n/**\n * Check if argument is a list of HTML elements.\n *\n * @param {Object} value\n * @return {Boolean}\n */\nexports.nodeList = function(value) {\n var type = Object.prototype.toString.call(value);\n\n return value !== undefined\n && (type === '[object NodeList]' || type === '[object HTMLCollection]')\n && ('length' in value)\n && (value.length === 0 || exports.node(value[0]));\n};\n\n/**\n * Check if argument is a string.\n *\n * @param {Object} value\n * @return {Boolean}\n */\nexports.string = function(value) {\n return typeof value === 'string'\n || value instanceof String;\n};\n\n/**\n * Check if argument is a function.\n *\n * @param {Object} value\n * @return {Boolean}\n */\nexports.fn = function(value) {\n var type = Object.prototype.toString.call(value);\n\n return type === '[object Function]';\n};\n\n\n/***/ }),\n\n/***/ 370:\n/***/ (function(module, __unused_webpack_exports, __webpack_require__) {\n\nvar is = __webpack_require__(879);\nvar delegate = __webpack_require__(438);\n\n/**\n * Validates all params and calls the right\n * listener function based on its target type.\n *\n * @param {String|HTMLElement|HTMLCollection|NodeList} target\n * @param {String} type\n * @param {Function} callback\n * @return {Object}\n */\nfunction listen(target, type, callback) {\n if (!target && !type && !callback) {\n throw new Error('Missing required arguments');\n }\n\n if (!is.string(type)) {\n throw new TypeError('Second argument must be a String');\n }\n\n if (!is.fn(callback)) {\n throw new TypeError('Third argument must be a Function');\n }\n\n if (is.node(target)) {\n return listenNode(target, type, callback);\n }\n else if (is.nodeList(target)) {\n return listenNodeList(target, type, callback);\n }\n else if (is.string(target)) {\n return listenSelector(target, type, callback);\n }\n else {\n throw new TypeError('First argument must be a String, HTMLElement, HTMLCollection, or NodeList');\n }\n}\n\n/**\n * Adds an event listener to a HTML element\n * and returns a remove listener function.\n *\n * @param {HTMLElement} node\n * @param {String} type\n * @param {Function} callback\n * @return {Object}\n */\nfunction listenNode(node, type, callback) {\n node.addEventListener(type, callback);\n\n return {\n destroy: function() {\n node.removeEventListener(type, callback);\n }\n }\n}\n\n/**\n * Add an event listener to a list of HTML elements\n * and returns a remove listener function.\n *\n * @param {NodeList|HTMLCollection} nodeList\n * @param {String} type\n * @param {Function} callback\n * @return {Object}\n */\nfunction listenNodeList(nodeList, type, callback) {\n Array.prototype.forEach.call(nodeList, function(node) {\n node.addEventListener(type, callback);\n });\n\n return {\n destroy: function() {\n Array.prototype.forEach.call(nodeList, function(node) {\n node.removeEventListener(type, callback);\n });\n }\n }\n}\n\n/**\n * Add an event listener to a selector\n * and returns a remove listener function.\n *\n * @param {String} selector\n * @param {String} type\n * @param {Function} callback\n * @return {Object}\n */\nfunction listenSelector(selector, type, callback) {\n return delegate(document.body, selector, type, callback);\n}\n\nmodule.exports = listen;\n\n\n/***/ }),\n\n/***/ 817:\n/***/ (function(module) {\n\nfunction select(element) {\n var selectedText;\n\n if (element.nodeName === 'SELECT') {\n element.focus();\n\n selectedText = element.value;\n }\n else if (element.nodeName === 'INPUT' || element.nodeName === 'TEXTAREA') {\n var isReadOnly = element.hasAttribute('readonly');\n\n if (!isReadOnly) {\n element.setAttribute('readonly', '');\n }\n\n element.select();\n element.setSelectionRange(0, element.value.length);\n\n if (!isReadOnly) {\n element.removeAttribute('readonly');\n }\n\n selectedText = element.value;\n }\n else {\n if (element.hasAttribute('contenteditable')) {\n element.focus();\n }\n\n var selection = window.getSelection();\n var range = document.createRange();\n\n range.selectNodeContents(element);\n selection.removeAllRanges();\n selection.addRange(range);\n\n selectedText = selection.toString();\n }\n\n return selectedText;\n}\n\nmodule.exports = select;\n\n\n/***/ }),\n\n/***/ 279:\n/***/ (function(module) {\n\nfunction E () {\n // Keep this empty so it's easier to inherit from\n // (via https://github.com/lipsmack from https://github.com/scottcorgan/tiny-emitter/issues/3)\n}\n\nE.prototype = {\n on: function (name, callback, ctx) {\n var e = this.e || (this.e = {});\n\n (e[name] || (e[name] = [])).push({\n fn: callback,\n ctx: ctx\n });\n\n return this;\n },\n\n once: function (name, callback, ctx) {\n var self = this;\n function listener () {\n self.off(name, listener);\n callback.apply(ctx, arguments);\n };\n\n listener._ = callback\n return this.on(name, listener, ctx);\n },\n\n emit: function (name) {\n var data = [].slice.call(arguments, 1);\n var evtArr = ((this.e || (this.e = {}))[name] || []).slice();\n var i = 0;\n var len = evtArr.length;\n\n for (i; i < len; i++) {\n evtArr[i].fn.apply(evtArr[i].ctx, data);\n }\n\n return this;\n },\n\n off: function (name, callback) {\n var e = this.e || (this.e = {});\n var evts = e[name];\n var liveEvents = [];\n\n if (evts && callback) {\n for (var i = 0, len = evts.length; i < len; i++) {\n if (evts[i].fn !== callback && evts[i].fn._ !== callback)\n liveEvents.push(evts[i]);\n }\n }\n\n // Remove event from queue to prevent memory leak\n // Suggested by https://github.com/lazd\n // Ref: https://github.com/scottcorgan/tiny-emitter/commit/c6ebfaa9bc973b33d110a84a307742b7cf94c953#commitcomment-5024910\n\n (liveEvents.length)\n ? e[name] = liveEvents\n : delete e[name];\n\n return this;\n }\n};\n\nmodule.exports = E;\nmodule.exports.TinyEmitter = E;\n\n\n/***/ })\n\n/******/ \t});\n/************************************************************************/\n/******/ \t// The module cache\n/******/ \tvar __webpack_module_cache__ = {};\n/******/ \t\n/******/ \t// The require function\n/******/ \tfunction __webpack_require__(moduleId) {\n/******/ \t\t// Check if module is in cache\n/******/ \t\tif(__webpack_module_cache__[moduleId]) {\n/******/ \t\t\treturn __webpack_module_cache__[moduleId].exports;\n/******/ \t\t}\n/******/ \t\t// Create a new module (and put it into the cache)\n/******/ \t\tvar module = __webpack_module_cache__[moduleId] = {\n/******/ \t\t\t// no module.id needed\n/******/ \t\t\t// no module.loaded needed\n/******/ \t\t\texports: {}\n/******/ \t\t};\n/******/ \t\n/******/ \t\t// Execute the module function\n/******/ \t\t__webpack_modules__[moduleId](module, module.exports, __webpack_require__);\n/******/ \t\n/******/ \t\t// Return the exports of the module\n/******/ \t\treturn module.exports;\n/******/ \t}\n/******/ \t\n/************************************************************************/\n/******/ \t/* webpack/runtime/compat get default export */\n/******/ \t!function() {\n/******/ \t\t// getDefaultExport function for compatibility with non-harmony modules\n/******/ \t\t__webpack_require__.n = function(module) {\n/******/ \t\t\tvar getter = module && module.__esModule ?\n/******/ \t\t\t\tfunction() { return module['default']; } :\n/******/ \t\t\t\tfunction() { return module; };\n/******/ \t\t\t__webpack_require__.d(getter, { a: getter });\n/******/ \t\t\treturn getter;\n/******/ \t\t};\n/******/ \t}();\n/******/ \t\n/******/ \t/* webpack/runtime/define property getters */\n/******/ \t!function() {\n/******/ \t\t// define getter functions for harmony exports\n/******/ \t\t__webpack_require__.d = function(exports, definition) {\n/******/ \t\t\tfor(var key in definition) {\n/******/ \t\t\t\tif(__webpack_require__.o(definition, key) && !__webpack_require__.o(exports, key)) {\n/******/ \t\t\t\t\tObject.defineProperty(exports, key, { enumerable: true, get: definition[key] });\n/******/ \t\t\t\t}\n/******/ \t\t\t}\n/******/ \t\t};\n/******/ \t}();\n/******/ \t\n/******/ \t/* webpack/runtime/hasOwnProperty shorthand */\n/******/ \t!function() {\n/******/ \t\t__webpack_require__.o = function(obj, prop) { return Object.prototype.hasOwnProperty.call(obj, prop); }\n/******/ \t}();\n/******/ \t\n/************************************************************************/\n/******/ \t// module exports must be returned from runtime so entry inlining is disabled\n/******/ \t// startup\n/******/ \t// Load entry module and return exports\n/******/ \treturn __webpack_require__(686);\n/******/ })()\n.default;\n});", "/*!\n * escape-html\n * Copyright(c) 2012-2013 TJ Holowaychuk\n * Copyright(c) 2015 Andreas Lubbe\n * Copyright(c) 2015 Tiancheng \"Timothy\" Gu\n * MIT Licensed\n */\n\n'use strict';\n\n/**\n * Module variables.\n * @private\n */\n\nvar matchHtmlRegExp = /[\"'&<>]/;\n\n/**\n * Module exports.\n * @public\n */\n\nmodule.exports = escapeHtml;\n\n/**\n * Escape special characters in the given string of html.\n *\n * @param {string} string The string to escape for inserting into HTML\n * @return {string}\n * @public\n */\n\nfunction escapeHtml(string) {\n var str = '' + string;\n var match = matchHtmlRegExp.exec(str);\n\n if (!match) {\n return str;\n }\n\n var escape;\n var html = '';\n var index = 0;\n var lastIndex = 0;\n\n for (index = match.index; index < str.length; index++) {\n switch (str.charCodeAt(index)) {\n case 34: // \"\n escape = '"';\n break;\n case 38: // &\n escape = '&';\n break;\n case 39: // '\n escape = ''';\n break;\n case 60: // <\n escape = '<';\n break;\n case 62: // >\n escape = '>';\n break;\n default:\n continue;\n }\n\n if (lastIndex !== index) {\n html += str.substring(lastIndex, index);\n }\n\n lastIndex = index + 1;\n html += escape;\n }\n\n return lastIndex !== index\n ? html + str.substring(lastIndex, index)\n : html;\n}\n", "Array.prototype.flat||Object.defineProperty(Array.prototype,\"flat\",{configurable:!0,value:function r(){var t=isNaN(arguments[0])?1:Number(arguments[0]);return t?Array.prototype.reduce.call(this,function(a,e){return Array.isArray(e)?a.push.apply(a,r.call(e,t-1)):a.push(e),a},[]):Array.prototype.slice.call(this)},writable:!0}),Array.prototype.flatMap||Object.defineProperty(Array.prototype,\"flatMap\",{configurable:!0,value:function(r){return Array.prototype.map.apply(this,arguments).flat()},writable:!0})\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport \"array-flat-polyfill\"\nimport \"focus-visible\"\nimport \"unfetch/polyfill\"\nimport \"url-polyfill\"\n\nimport {\n EMPTY,\n NEVER,\n Subject,\n defer,\n delay,\n filter,\n map,\n merge,\n mergeWith,\n shareReplay,\n switchMap\n} from \"rxjs\"\n\nimport { configuration, feature } from \"./_\"\nimport {\n at,\n getOptionalElement,\n requestJSON,\n setToggle,\n watchDocument,\n watchKeyboard,\n watchLocation,\n watchLocationTarget,\n watchMedia,\n watchPrint,\n watchViewport\n} from \"./browser\"\nimport {\n getComponentElement,\n getComponentElements,\n mountAnnounce,\n mountBackToTop,\n mountConsent,\n mountContent,\n mountDialog,\n mountHeader,\n mountHeaderTitle,\n mountPalette,\n mountSearch,\n mountSearchHiglight,\n mountSidebar,\n mountSource,\n mountTableOfContents,\n mountTabs,\n watchHeader,\n watchMain\n} from \"./components\"\nimport {\n SearchIndex,\n setupClipboardJS,\n setupInstantLoading,\n setupVersionSelector\n} from \"./integrations\"\nimport {\n patchIndeterminate,\n patchScrollfix,\n patchScrolllock\n} from \"./patches\"\nimport \"./polyfills\"\n\n/* ----------------------------------------------------------------------------\n * Application\n * ------------------------------------------------------------------------- */\n\n/* Yay, JavaScript is available */\ndocument.documentElement.classList.remove(\"no-js\")\ndocument.documentElement.classList.add(\"js\")\n\n/* Set up navigation observables and subjects */\nconst document$ = watchDocument()\nconst location$ = watchLocation()\nconst target$ = watchLocationTarget()\nconst keyboard$ = watchKeyboard()\n\n/* Set up media observables */\nconst viewport$ = watchViewport()\nconst tablet$ = watchMedia(\"(min-width: 960px)\")\nconst screen$ = watchMedia(\"(min-width: 1220px)\")\nconst print$ = watchPrint()\n\n/* Retrieve search index, if search is enabled */\nconst config = configuration()\nconst index$ = document.forms.namedItem(\"search\")\n ? __search?.index || requestJSON(\n new URL(\"search/search_index.json\", config.base)\n )\n : NEVER\n\n/* Set up Clipboard.js integration */\nconst alert$ = new Subject()\nsetupClipboardJS({ alert$ })\n\n/* Set up instant loading, if enabled */\nif (feature(\"navigation.instant\"))\n setupInstantLoading({ document$, location$, viewport$ })\n\n/* Set up version selector */\nif (config.version?.provider === \"mike\")\n setupVersionSelector({ document$ })\n\n/* Always close drawer and search on navigation */\nmerge(location$, target$)\n .pipe(\n delay(125)\n )\n .subscribe(() => {\n setToggle(\"drawer\", false)\n setToggle(\"search\", false)\n })\n\n/* Set up global keyboard handlers */\nkeyboard$\n .pipe(\n filter(({ mode }) => mode === \"global\")\n )\n .subscribe(key => {\n switch (key.type) {\n\n /* Go to previous page */\n case \"p\":\n case \",\":\n const prev = getOptionalElement(\"[href][rel=prev]\")\n if (typeof prev !== \"undefined\")\n prev.click()\n break\n\n /* Go to next page */\n case \"n\":\n case \".\":\n const next = getOptionalElement(\"[href][rel=next]\")\n if (typeof next !== \"undefined\")\n next.click()\n break\n }\n })\n\n/* Set up patches */\npatchIndeterminate({ document$, tablet$ })\npatchScrollfix({ document$ })\npatchScrolllock({ viewport$, tablet$ })\n\n/* Set up header and main area observable */\nconst header$ = watchHeader(getComponentElement(\"header\"), { viewport$ })\nconst main$ = document$\n .pipe(\n map(() => getComponentElement(\"main\")),\n switchMap(el => watchMain(el, { viewport$, header$ })),\n shareReplay(1)\n )\n\n/* Set up control component observables */\nconst control$ = merge(\n\n /* Consent */\n ...getComponentElements(\"consent\")\n .map(el => mountConsent(el, { target$ })),\n\n /* Dialog */\n ...getComponentElements(\"dialog\")\n .map(el => mountDialog(el, { alert$ })),\n\n /* Header */\n ...getComponentElements(\"header\")\n .map(el => mountHeader(el, { viewport$, header$, main$ })),\n\n /* Color palette */\n ...getComponentElements(\"palette\")\n .map(el => mountPalette(el)),\n\n /* Search */\n ...getComponentElements(\"search\")\n .map(el => mountSearch(el, { index$, keyboard$ })),\n\n /* Repository information */\n ...getComponentElements(\"source\")\n .map(el => mountSource(el))\n)\n\n/* Set up content component observables */\nconst content$ = defer(() => merge(\n\n /* Announcement bar */\n ...getComponentElements(\"announce\")\n .map(el => mountAnnounce(el)),\n\n /* Content */\n ...getComponentElements(\"content\")\n .map(el => mountContent(el, { viewport$, target$, print$ })),\n\n /* Search highlighting */\n ...getComponentElements(\"content\")\n .map(el => feature(\"search.highlight\")\n ? mountSearchHiglight(el, { index$, location$ })\n : EMPTY\n ),\n\n /* Header title */\n ...getComponentElements(\"header-title\")\n .map(el => mountHeaderTitle(el, { viewport$, header$ })),\n\n /* Sidebar */\n ...getComponentElements(\"sidebar\")\n .map(el => el.getAttribute(\"data-md-type\") === \"navigation\"\n ? at(screen$, () => mountSidebar(el, { viewport$, header$, main$ }))\n : at(tablet$, () => mountSidebar(el, { viewport$, header$, main$ }))\n ),\n\n /* Navigation tabs */\n ...getComponentElements(\"tabs\")\n .map(el => mountTabs(el, { viewport$, header$ })),\n\n /* Table of contents */\n ...getComponentElements(\"toc\")\n .map(el => mountTableOfContents(el, { viewport$, header$, target$ })),\n\n /* Back-to-top button */\n ...getComponentElements(\"top\")\n .map(el => mountBackToTop(el, { viewport$, header$, main$, target$ }))\n))\n\n/* Set up component observables */\nconst component$ = document$\n .pipe(\n switchMap(() => content$),\n mergeWith(control$),\n shareReplay(1)\n )\n\n/* Subscribe to all components */\ncomponent$.subscribe()\n\n/* ----------------------------------------------------------------------------\n * Exports\n * ------------------------------------------------------------------------- */\n\nwindow.document$ = document$ /* Document observable */\nwindow.location$ = location$ /* Location subject */\nwindow.target$ = target$ /* Location target observable */\nwindow.keyboard$ = keyboard$ /* Keyboard observable */\nwindow.viewport$ = viewport$ /* Viewport observable */\nwindow.tablet$ = tablet$ /* Media tablet observable */\nwindow.screen$ = screen$ /* Media screen observable */\nwindow.print$ = print$ /* Media print observable */\nwindow.alert$ = alert$ /* Alert subject */\nwindow.component$ = component$ /* Component observable */\n", "self.fetch||(self.fetch=function(e,n){return n=n||{},new Promise(function(t,s){var r=new XMLHttpRequest,o=[],u=[],i={},a=function(){return{ok:2==(r.status/100|0),statusText:r.statusText,status:r.status,url:r.responseURL,text:function(){return Promise.resolve(r.responseText)},json:function(){return Promise.resolve(r.responseText).then(JSON.parse)},blob:function(){return Promise.resolve(new Blob([r.response]))},clone:a,headers:{keys:function(){return o},entries:function(){return u},get:function(e){return i[e.toLowerCase()]},has:function(e){return e.toLowerCase()in i}}}};for(var c in r.open(n.method||\"get\",e,!0),r.onload=function(){r.getAllResponseHeaders().replace(/^(.*?):[^\\S\\n]*([\\s\\S]*?)$/gm,function(e,n,t){o.push(n=n.toLowerCase()),u.push([n,t]),i[n]=i[n]?i[n]+\",\"+t:t}),t(a())},r.onerror=s,r.withCredentials=\"include\"==n.credentials,n.headers)r.setRequestHeader(c,n.headers[c]);r.send(n.body||null)})});\n", "import tslib from '../tslib.js';\r\nconst {\r\n __extends,\r\n __assign,\r\n __rest,\r\n __decorate,\r\n __param,\r\n __metadata,\r\n __awaiter,\r\n __generator,\r\n __exportStar,\r\n __createBinding,\r\n __values,\r\n __read,\r\n __spread,\r\n __spreadArrays,\r\n __spreadArray,\r\n __await,\r\n __asyncGenerator,\r\n __asyncDelegator,\r\n __asyncValues,\r\n __makeTemplateObject,\r\n __importStar,\r\n __importDefault,\r\n __classPrivateFieldGet,\r\n __classPrivateFieldSet,\r\n} = tslib;\r\nexport {\r\n __extends,\r\n __assign,\r\n __rest,\r\n __decorate,\r\n __param,\r\n __metadata,\r\n __awaiter,\r\n __generator,\r\n __exportStar,\r\n __createBinding,\r\n __values,\r\n __read,\r\n __spread,\r\n __spreadArrays,\r\n __spreadArray,\r\n __await,\r\n __asyncGenerator,\r\n __asyncDelegator,\r\n __asyncValues,\r\n __makeTemplateObject,\r\n __importStar,\r\n __importDefault,\r\n __classPrivateFieldGet,\r\n __classPrivateFieldSet,\r\n};\r\n", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n ReplaySubject,\n Subject,\n fromEvent\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch document\n *\n * Documents are implemented as subjects, so all downstream observables are\n * automatically updated when a new document is emitted.\n *\n * @returns Document subject\n */\nexport function watchDocument(): Subject {\n const document$ = new ReplaySubject(1)\n fromEvent(document, \"DOMContentLoaded\", { once: true })\n .subscribe(() => document$.next(document))\n\n /* Return document */\n return document$\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve all elements matching the query selector\n *\n * @template T - Element type\n *\n * @param selector - Query selector\n * @param node - Node of reference\n *\n * @returns Elements\n */\nexport function getElements(\n selector: T, node?: ParentNode\n): HTMLElementTagNameMap[T][]\n\nexport function getElements(\n selector: string, node?: ParentNode\n): T[]\n\nexport function getElements(\n selector: string, node: ParentNode = document\n): T[] {\n return Array.from(node.querySelectorAll(selector))\n}\n\n/**\n * Retrieve an element matching a query selector or throw a reference error\n *\n * Note that this function assumes that the element is present. If unsure if an\n * element is existent, use the `getOptionalElement` function instead.\n *\n * @template T - Element type\n *\n * @param selector - Query selector\n * @param node - Node of reference\n *\n * @returns Element\n */\nexport function getElement(\n selector: T, node?: ParentNode\n): HTMLElementTagNameMap[T]\n\nexport function getElement(\n selector: string, node?: ParentNode\n): T\n\nexport function getElement(\n selector: string, node: ParentNode = document\n): T {\n const el = getOptionalElement(selector, node)\n if (typeof el === \"undefined\")\n throw new ReferenceError(\n `Missing element: expected \"${selector}\" to be present`\n )\n\n /* Return element */\n return el\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Retrieve an optional element matching the query selector\n *\n * @template T - Element type\n *\n * @param selector - Query selector\n * @param node - Node of reference\n *\n * @returns Element or nothing\n */\nexport function getOptionalElement(\n selector: T, node?: ParentNode\n): HTMLElementTagNameMap[T] | undefined\n\nexport function getOptionalElement(\n selector: string, node?: ParentNode\n): T | undefined\n\nexport function getOptionalElement(\n selector: string, node: ParentNode = document\n): T | undefined {\n return node.querySelector(selector) || undefined\n}\n\n/**\n * Retrieve the currently active element\n *\n * @returns Element or nothing\n */\nexport function getActiveElement(): HTMLElement | undefined {\n return document.activeElement instanceof HTMLElement\n ? document.activeElement || undefined\n : undefined\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n debounceTime,\n distinctUntilChanged,\n fromEvent,\n map,\n merge,\n startWith\n} from \"rxjs\"\n\nimport { getActiveElement } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch element focus\n *\n * Previously, this function used `focus` and `blur` events to determine whether\n * an element is focused, but this doesn't work if there are focusable elements\n * within the elements itself. A better solutions are `focusin` and `focusout`\n * events, which bubble up the tree and allow for more fine-grained control.\n *\n * `debounceTime` is necessary, because when a focus change happens inside an\n * element, the observable would first emit `false` and then `true` again.\n *\n * @param el - Element\n *\n * @returns Element focus observable\n */\nexport function watchElementFocus(\n el: HTMLElement\n): Observable {\n return merge(\n fromEvent(document.body, \"focusin\"),\n fromEvent(document.body, \"focusout\")\n )\n .pipe(\n debounceTime(1),\n map(() => {\n const active = getActiveElement()\n return typeof active !== \"undefined\"\n ? el.contains(active)\n : false\n }),\n startWith(el === getActiveElement()),\n distinctUntilChanged()\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n animationFrameScheduler,\n auditTime,\n fromEvent,\n map,\n merge,\n startWith\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Element offset\n */\nexport interface ElementOffset {\n x: number /* Horizontal offset */\n y: number /* Vertical offset */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve element offset\n *\n * @param el - Element\n *\n * @returns Element offset\n */\nexport function getElementOffset(\n el: HTMLElement\n): ElementOffset {\n return {\n x: el.offsetLeft,\n y: el.offsetTop\n }\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch element offset\n *\n * @param el - Element\n *\n * @returns Element offset observable\n */\nexport function watchElementOffset(\n el: HTMLElement\n): Observable {\n return merge(\n fromEvent(window, \"load\"),\n fromEvent(window, \"resize\")\n )\n .pipe(\n auditTime(0, animationFrameScheduler),\n map(() => getElementOffset(el)),\n startWith(getElementOffset(el))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n animationFrameScheduler,\n auditTime,\n fromEvent,\n map,\n merge,\n startWith\n} from \"rxjs\"\n\nimport { ElementOffset } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve element content offset (= scroll offset)\n *\n * @param el - Element\n *\n * @returns Element content offset\n */\nexport function getElementContentOffset(\n el: HTMLElement\n): ElementOffset {\n return {\n x: el.scrollLeft,\n y: el.scrollTop\n }\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch element content offset\n *\n * @param el - Element\n *\n * @returns Element content offset observable\n */\nexport function watchElementContentOffset(\n el: HTMLElement\n): Observable {\n return merge(\n fromEvent(el, \"scroll\"),\n fromEvent(window, \"resize\")\n )\n .pipe(\n auditTime(0, animationFrameScheduler),\n map(() => getElementContentOffset(el)),\n startWith(getElementContentOffset(el))\n )\n}\n", "/**\r\n * A collection of shims that provide minimal functionality of the ES6 collections.\r\n *\r\n * These implementations are not meant to be used outside of the ResizeObserver\r\n * modules as they cover only a limited range of use cases.\r\n */\r\n/* eslint-disable require-jsdoc, valid-jsdoc */\r\nvar MapShim = (function () {\r\n if (typeof Map !== 'undefined') {\r\n return Map;\r\n }\r\n /**\r\n * Returns index in provided array that matches the specified key.\r\n *\r\n * @param {Array} arr\r\n * @param {*} key\r\n * @returns {number}\r\n */\r\n function getIndex(arr, key) {\r\n var result = -1;\r\n arr.some(function (entry, index) {\r\n if (entry[0] === key) {\r\n result = index;\r\n return true;\r\n }\r\n return false;\r\n });\r\n return result;\r\n }\r\n return /** @class */ (function () {\r\n function class_1() {\r\n this.__entries__ = [];\r\n }\r\n Object.defineProperty(class_1.prototype, \"size\", {\r\n /**\r\n * @returns {boolean}\r\n */\r\n get: function () {\r\n return this.__entries__.length;\r\n },\r\n enumerable: true,\r\n configurable: true\r\n });\r\n /**\r\n * @param {*} key\r\n * @returns {*}\r\n */\r\n class_1.prototype.get = function (key) {\r\n var index = getIndex(this.__entries__, key);\r\n var entry = this.__entries__[index];\r\n return entry && entry[1];\r\n };\r\n /**\r\n * @param {*} key\r\n * @param {*} value\r\n * @returns {void}\r\n */\r\n class_1.prototype.set = function (key, value) {\r\n var index = getIndex(this.__entries__, key);\r\n if (~index) {\r\n this.__entries__[index][1] = value;\r\n }\r\n else {\r\n this.__entries__.push([key, value]);\r\n }\r\n };\r\n /**\r\n * @param {*} key\r\n * @returns {void}\r\n */\r\n class_1.prototype.delete = function (key) {\r\n var entries = this.__entries__;\r\n var index = getIndex(entries, key);\r\n if (~index) {\r\n entries.splice(index, 1);\r\n }\r\n };\r\n /**\r\n * @param {*} key\r\n * @returns {void}\r\n */\r\n class_1.prototype.has = function (key) {\r\n return !!~getIndex(this.__entries__, key);\r\n };\r\n /**\r\n * @returns {void}\r\n */\r\n class_1.prototype.clear = function () {\r\n this.__entries__.splice(0);\r\n };\r\n /**\r\n * @param {Function} callback\r\n * @param {*} [ctx=null]\r\n * @returns {void}\r\n */\r\n class_1.prototype.forEach = function (callback, ctx) {\r\n if (ctx === void 0) { ctx = null; }\r\n for (var _i = 0, _a = this.__entries__; _i < _a.length; _i++) {\r\n var entry = _a[_i];\r\n callback.call(ctx, entry[1], entry[0]);\r\n }\r\n };\r\n return class_1;\r\n }());\r\n})();\n\n/**\r\n * Detects whether window and document objects are available in current environment.\r\n */\r\nvar isBrowser = typeof window !== 'undefined' && typeof document !== 'undefined' && window.document === document;\n\n// Returns global object of a current environment.\r\nvar global$1 = (function () {\r\n if (typeof global !== 'undefined' && global.Math === Math) {\r\n return global;\r\n }\r\n if (typeof self !== 'undefined' && self.Math === Math) {\r\n return self;\r\n }\r\n if (typeof window !== 'undefined' && window.Math === Math) {\r\n return window;\r\n }\r\n // eslint-disable-next-line no-new-func\r\n return Function('return this')();\r\n})();\n\n/**\r\n * A shim for the requestAnimationFrame which falls back to the setTimeout if\r\n * first one is not supported.\r\n *\r\n * @returns {number} Requests' identifier.\r\n */\r\nvar requestAnimationFrame$1 = (function () {\r\n if (typeof requestAnimationFrame === 'function') {\r\n // It's required to use a bounded function because IE sometimes throws\r\n // an \"Invalid calling object\" error if rAF is invoked without the global\r\n // object on the left hand side.\r\n return requestAnimationFrame.bind(global$1);\r\n }\r\n return function (callback) { return setTimeout(function () { return callback(Date.now()); }, 1000 / 60); };\r\n})();\n\n// Defines minimum timeout before adding a trailing call.\r\nvar trailingTimeout = 2;\r\n/**\r\n * Creates a wrapper function which ensures that provided callback will be\r\n * invoked only once during the specified delay period.\r\n *\r\n * @param {Function} callback - Function to be invoked after the delay period.\r\n * @param {number} delay - Delay after which to invoke callback.\r\n * @returns {Function}\r\n */\r\nfunction throttle (callback, delay) {\r\n var leadingCall = false, trailingCall = false, lastCallTime = 0;\r\n /**\r\n * Invokes the original callback function and schedules new invocation if\r\n * the \"proxy\" was called during current request.\r\n *\r\n * @returns {void}\r\n */\r\n function resolvePending() {\r\n if (leadingCall) {\r\n leadingCall = false;\r\n callback();\r\n }\r\n if (trailingCall) {\r\n proxy();\r\n }\r\n }\r\n /**\r\n * Callback invoked after the specified delay. It will further postpone\r\n * invocation of the original function delegating it to the\r\n * requestAnimationFrame.\r\n *\r\n * @returns {void}\r\n */\r\n function timeoutCallback() {\r\n requestAnimationFrame$1(resolvePending);\r\n }\r\n /**\r\n * Schedules invocation of the original function.\r\n *\r\n * @returns {void}\r\n */\r\n function proxy() {\r\n var timeStamp = Date.now();\r\n if (leadingCall) {\r\n // Reject immediately following calls.\r\n if (timeStamp - lastCallTime < trailingTimeout) {\r\n return;\r\n }\r\n // Schedule new call to be in invoked when the pending one is resolved.\r\n // This is important for \"transitions\" which never actually start\r\n // immediately so there is a chance that we might miss one if change\r\n // happens amids the pending invocation.\r\n trailingCall = true;\r\n }\r\n else {\r\n leadingCall = true;\r\n trailingCall = false;\r\n setTimeout(timeoutCallback, delay);\r\n }\r\n lastCallTime = timeStamp;\r\n }\r\n return proxy;\r\n}\n\n// Minimum delay before invoking the update of observers.\r\nvar REFRESH_DELAY = 20;\r\n// A list of substrings of CSS properties used to find transition events that\r\n// might affect dimensions of observed elements.\r\nvar transitionKeys = ['top', 'right', 'bottom', 'left', 'width', 'height', 'size', 'weight'];\r\n// Check if MutationObserver is available.\r\nvar mutationObserverSupported = typeof MutationObserver !== 'undefined';\r\n/**\r\n * Singleton controller class which handles updates of ResizeObserver instances.\r\n */\r\nvar ResizeObserverController = /** @class */ (function () {\r\n /**\r\n * Creates a new instance of ResizeObserverController.\r\n *\r\n * @private\r\n */\r\n function ResizeObserverController() {\r\n /**\r\n * Indicates whether DOM listeners have been added.\r\n *\r\n * @private {boolean}\r\n */\r\n this.connected_ = false;\r\n /**\r\n * Tells that controller has subscribed for Mutation Events.\r\n *\r\n * @private {boolean}\r\n */\r\n this.mutationEventsAdded_ = false;\r\n /**\r\n * Keeps reference to the instance of MutationObserver.\r\n *\r\n * @private {MutationObserver}\r\n */\r\n this.mutationsObserver_ = null;\r\n /**\r\n * A list of connected observers.\r\n *\r\n * @private {Array}\r\n */\r\n this.observers_ = [];\r\n this.onTransitionEnd_ = this.onTransitionEnd_.bind(this);\r\n this.refresh = throttle(this.refresh.bind(this), REFRESH_DELAY);\r\n }\r\n /**\r\n * Adds observer to observers list.\r\n *\r\n * @param {ResizeObserverSPI} observer - Observer to be added.\r\n * @returns {void}\r\n */\r\n ResizeObserverController.prototype.addObserver = function (observer) {\r\n if (!~this.observers_.indexOf(observer)) {\r\n this.observers_.push(observer);\r\n }\r\n // Add listeners if they haven't been added yet.\r\n if (!this.connected_) {\r\n this.connect_();\r\n }\r\n };\r\n /**\r\n * Removes observer from observers list.\r\n *\r\n * @param {ResizeObserverSPI} observer - Observer to be removed.\r\n * @returns {void}\r\n */\r\n ResizeObserverController.prototype.removeObserver = function (observer) {\r\n var observers = this.observers_;\r\n var index = observers.indexOf(observer);\r\n // Remove observer if it's present in registry.\r\n if (~index) {\r\n observers.splice(index, 1);\r\n }\r\n // Remove listeners if controller has no connected observers.\r\n if (!observers.length && this.connected_) {\r\n this.disconnect_();\r\n }\r\n };\r\n /**\r\n * Invokes the update of observers. It will continue running updates insofar\r\n * it detects changes.\r\n *\r\n * @returns {void}\r\n */\r\n ResizeObserverController.prototype.refresh = function () {\r\n var changesDetected = this.updateObservers_();\r\n // Continue running updates if changes have been detected as there might\r\n // be future ones caused by CSS transitions.\r\n if (changesDetected) {\r\n this.refresh();\r\n }\r\n };\r\n /**\r\n * Updates every observer from observers list and notifies them of queued\r\n * entries.\r\n *\r\n * @private\r\n * @returns {boolean} Returns \"true\" if any observer has detected changes in\r\n * dimensions of it's elements.\r\n */\r\n ResizeObserverController.prototype.updateObservers_ = function () {\r\n // Collect observers that have active observations.\r\n var activeObservers = this.observers_.filter(function (observer) {\r\n return observer.gatherActive(), observer.hasActive();\r\n });\r\n // Deliver notifications in a separate cycle in order to avoid any\r\n // collisions between observers, e.g. when multiple instances of\r\n // ResizeObserver are tracking the same element and the callback of one\r\n // of them changes content dimensions of the observed target. Sometimes\r\n // this may result in notifications being blocked for the rest of observers.\r\n activeObservers.forEach(function (observer) { return observer.broadcastActive(); });\r\n return activeObservers.length > 0;\r\n };\r\n /**\r\n * Initializes DOM listeners.\r\n *\r\n * @private\r\n * @returns {void}\r\n */\r\n ResizeObserverController.prototype.connect_ = function () {\r\n // Do nothing if running in a non-browser environment or if listeners\r\n // have been already added.\r\n if (!isBrowser || this.connected_) {\r\n return;\r\n }\r\n // Subscription to the \"Transitionend\" event is used as a workaround for\r\n // delayed transitions. This way it's possible to capture at least the\r\n // final state of an element.\r\n document.addEventListener('transitionend', this.onTransitionEnd_);\r\n window.addEventListener('resize', this.refresh);\r\n if (mutationObserverSupported) {\r\n this.mutationsObserver_ = new MutationObserver(this.refresh);\r\n this.mutationsObserver_.observe(document, {\r\n attributes: true,\r\n childList: true,\r\n characterData: true,\r\n subtree: true\r\n });\r\n }\r\n else {\r\n document.addEventListener('DOMSubtreeModified', this.refresh);\r\n this.mutationEventsAdded_ = true;\r\n }\r\n this.connected_ = true;\r\n };\r\n /**\r\n * Removes DOM listeners.\r\n *\r\n * @private\r\n * @returns {void}\r\n */\r\n ResizeObserverController.prototype.disconnect_ = function () {\r\n // Do nothing if running in a non-browser environment or if listeners\r\n // have been already removed.\r\n if (!isBrowser || !this.connected_) {\r\n return;\r\n }\r\n document.removeEventListener('transitionend', this.onTransitionEnd_);\r\n window.removeEventListener('resize', this.refresh);\r\n if (this.mutationsObserver_) {\r\n this.mutationsObserver_.disconnect();\r\n }\r\n if (this.mutationEventsAdded_) {\r\n document.removeEventListener('DOMSubtreeModified', this.refresh);\r\n }\r\n this.mutationsObserver_ = null;\r\n this.mutationEventsAdded_ = false;\r\n this.connected_ = false;\r\n };\r\n /**\r\n * \"Transitionend\" event handler.\r\n *\r\n * @private\r\n * @param {TransitionEvent} event\r\n * @returns {void}\r\n */\r\n ResizeObserverController.prototype.onTransitionEnd_ = function (_a) {\r\n var _b = _a.propertyName, propertyName = _b === void 0 ? '' : _b;\r\n // Detect whether transition may affect dimensions of an element.\r\n var isReflowProperty = transitionKeys.some(function (key) {\r\n return !!~propertyName.indexOf(key);\r\n });\r\n if (isReflowProperty) {\r\n this.refresh();\r\n }\r\n };\r\n /**\r\n * Returns instance of the ResizeObserverController.\r\n *\r\n * @returns {ResizeObserverController}\r\n */\r\n ResizeObserverController.getInstance = function () {\r\n if (!this.instance_) {\r\n this.instance_ = new ResizeObserverController();\r\n }\r\n return this.instance_;\r\n };\r\n /**\r\n * Holds reference to the controller's instance.\r\n *\r\n * @private {ResizeObserverController}\r\n */\r\n ResizeObserverController.instance_ = null;\r\n return ResizeObserverController;\r\n}());\n\n/**\r\n * Defines non-writable/enumerable properties of the provided target object.\r\n *\r\n * @param {Object} target - Object for which to define properties.\r\n * @param {Object} props - Properties to be defined.\r\n * @returns {Object} Target object.\r\n */\r\nvar defineConfigurable = (function (target, props) {\r\n for (var _i = 0, _a = Object.keys(props); _i < _a.length; _i++) {\r\n var key = _a[_i];\r\n Object.defineProperty(target, key, {\r\n value: props[key],\r\n enumerable: false,\r\n writable: false,\r\n configurable: true\r\n });\r\n }\r\n return target;\r\n});\n\n/**\r\n * Returns the global object associated with provided element.\r\n *\r\n * @param {Object} target\r\n * @returns {Object}\r\n */\r\nvar getWindowOf = (function (target) {\r\n // Assume that the element is an instance of Node, which means that it\r\n // has the \"ownerDocument\" property from which we can retrieve a\r\n // corresponding global object.\r\n var ownerGlobal = target && target.ownerDocument && target.ownerDocument.defaultView;\r\n // Return the local global object if it's not possible extract one from\r\n // provided element.\r\n return ownerGlobal || global$1;\r\n});\n\n// Placeholder of an empty content rectangle.\r\nvar emptyRect = createRectInit(0, 0, 0, 0);\r\n/**\r\n * Converts provided string to a number.\r\n *\r\n * @param {number|string} value\r\n * @returns {number}\r\n */\r\nfunction toFloat(value) {\r\n return parseFloat(value) || 0;\r\n}\r\n/**\r\n * Extracts borders size from provided styles.\r\n *\r\n * @param {CSSStyleDeclaration} styles\r\n * @param {...string} positions - Borders positions (top, right, ...)\r\n * @returns {number}\r\n */\r\nfunction getBordersSize(styles) {\r\n var positions = [];\r\n for (var _i = 1; _i < arguments.length; _i++) {\r\n positions[_i - 1] = arguments[_i];\r\n }\r\n return positions.reduce(function (size, position) {\r\n var value = styles['border-' + position + '-width'];\r\n return size + toFloat(value);\r\n }, 0);\r\n}\r\n/**\r\n * Extracts paddings sizes from provided styles.\r\n *\r\n * @param {CSSStyleDeclaration} styles\r\n * @returns {Object} Paddings box.\r\n */\r\nfunction getPaddings(styles) {\r\n var positions = ['top', 'right', 'bottom', 'left'];\r\n var paddings = {};\r\n for (var _i = 0, positions_1 = positions; _i < positions_1.length; _i++) {\r\n var position = positions_1[_i];\r\n var value = styles['padding-' + position];\r\n paddings[position] = toFloat(value);\r\n }\r\n return paddings;\r\n}\r\n/**\r\n * Calculates content rectangle of provided SVG element.\r\n *\r\n * @param {SVGGraphicsElement} target - Element content rectangle of which needs\r\n * to be calculated.\r\n * @returns {DOMRectInit}\r\n */\r\nfunction getSVGContentRect(target) {\r\n var bbox = target.getBBox();\r\n return createRectInit(0, 0, bbox.width, bbox.height);\r\n}\r\n/**\r\n * Calculates content rectangle of provided HTMLElement.\r\n *\r\n * @param {HTMLElement} target - Element for which to calculate the content rectangle.\r\n * @returns {DOMRectInit}\r\n */\r\nfunction getHTMLElementContentRect(target) {\r\n // Client width & height properties can't be\r\n // used exclusively as they provide rounded values.\r\n var clientWidth = target.clientWidth, clientHeight = target.clientHeight;\r\n // By this condition we can catch all non-replaced inline, hidden and\r\n // detached elements. Though elements with width & height properties less\r\n // than 0.5 will be discarded as well.\r\n //\r\n // Without it we would need to implement separate methods for each of\r\n // those cases and it's not possible to perform a precise and performance\r\n // effective test for hidden elements. E.g. even jQuery's ':visible' filter\r\n // gives wrong results for elements with width & height less than 0.5.\r\n if (!clientWidth && !clientHeight) {\r\n return emptyRect;\r\n }\r\n var styles = getWindowOf(target).getComputedStyle(target);\r\n var paddings = getPaddings(styles);\r\n var horizPad = paddings.left + paddings.right;\r\n var vertPad = paddings.top + paddings.bottom;\r\n // Computed styles of width & height are being used because they are the\r\n // only dimensions available to JS that contain non-rounded values. It could\r\n // be possible to utilize the getBoundingClientRect if only it's data wasn't\r\n // affected by CSS transformations let alone paddings, borders and scroll bars.\r\n var width = toFloat(styles.width), height = toFloat(styles.height);\r\n // Width & height include paddings and borders when the 'border-box' box\r\n // model is applied (except for IE).\r\n if (styles.boxSizing === 'border-box') {\r\n // Following conditions are required to handle Internet Explorer which\r\n // doesn't include paddings and borders to computed CSS dimensions.\r\n //\r\n // We can say that if CSS dimensions + paddings are equal to the \"client\"\r\n // properties then it's either IE, and thus we don't need to subtract\r\n // anything, or an element merely doesn't have paddings/borders styles.\r\n if (Math.round(width + horizPad) !== clientWidth) {\r\n width -= getBordersSize(styles, 'left', 'right') + horizPad;\r\n }\r\n if (Math.round(height + vertPad) !== clientHeight) {\r\n height -= getBordersSize(styles, 'top', 'bottom') + vertPad;\r\n }\r\n }\r\n // Following steps can't be applied to the document's root element as its\r\n // client[Width/Height] properties represent viewport area of the window.\r\n // Besides, it's as well not necessary as the itself neither has\r\n // rendered scroll bars nor it can be clipped.\r\n if (!isDocumentElement(target)) {\r\n // In some browsers (only in Firefox, actually) CSS width & height\r\n // include scroll bars size which can be removed at this step as scroll\r\n // bars are the only difference between rounded dimensions + paddings\r\n // and \"client\" properties, though that is not always true in Chrome.\r\n var vertScrollbar = Math.round(width + horizPad) - clientWidth;\r\n var horizScrollbar = Math.round(height + vertPad) - clientHeight;\r\n // Chrome has a rather weird rounding of \"client\" properties.\r\n // E.g. for an element with content width of 314.2px it sometimes gives\r\n // the client width of 315px and for the width of 314.7px it may give\r\n // 314px. And it doesn't happen all the time. So just ignore this delta\r\n // as a non-relevant.\r\n if (Math.abs(vertScrollbar) !== 1) {\r\n width -= vertScrollbar;\r\n }\r\n if (Math.abs(horizScrollbar) !== 1) {\r\n height -= horizScrollbar;\r\n }\r\n }\r\n return createRectInit(paddings.left, paddings.top, width, height);\r\n}\r\n/**\r\n * Checks whether provided element is an instance of the SVGGraphicsElement.\r\n *\r\n * @param {Element} target - Element to be checked.\r\n * @returns {boolean}\r\n */\r\nvar isSVGGraphicsElement = (function () {\r\n // Some browsers, namely IE and Edge, don't have the SVGGraphicsElement\r\n // interface.\r\n if (typeof SVGGraphicsElement !== 'undefined') {\r\n return function (target) { return target instanceof getWindowOf(target).SVGGraphicsElement; };\r\n }\r\n // If it's so, then check that element is at least an instance of the\r\n // SVGElement and that it has the \"getBBox\" method.\r\n // eslint-disable-next-line no-extra-parens\r\n return function (target) { return (target instanceof getWindowOf(target).SVGElement &&\r\n typeof target.getBBox === 'function'); };\r\n})();\r\n/**\r\n * Checks whether provided element is a document element ().\r\n *\r\n * @param {Element} target - Element to be checked.\r\n * @returns {boolean}\r\n */\r\nfunction isDocumentElement(target) {\r\n return target === getWindowOf(target).document.documentElement;\r\n}\r\n/**\r\n * Calculates an appropriate content rectangle for provided html or svg element.\r\n *\r\n * @param {Element} target - Element content rectangle of which needs to be calculated.\r\n * @returns {DOMRectInit}\r\n */\r\nfunction getContentRect(target) {\r\n if (!isBrowser) {\r\n return emptyRect;\r\n }\r\n if (isSVGGraphicsElement(target)) {\r\n return getSVGContentRect(target);\r\n }\r\n return getHTMLElementContentRect(target);\r\n}\r\n/**\r\n * Creates rectangle with an interface of the DOMRectReadOnly.\r\n * Spec: https://drafts.fxtf.org/geometry/#domrectreadonly\r\n *\r\n * @param {DOMRectInit} rectInit - Object with rectangle's x/y coordinates and dimensions.\r\n * @returns {DOMRectReadOnly}\r\n */\r\nfunction createReadOnlyRect(_a) {\r\n var x = _a.x, y = _a.y, width = _a.width, height = _a.height;\r\n // If DOMRectReadOnly is available use it as a prototype for the rectangle.\r\n var Constr = typeof DOMRectReadOnly !== 'undefined' ? DOMRectReadOnly : Object;\r\n var rect = Object.create(Constr.prototype);\r\n // Rectangle's properties are not writable and non-enumerable.\r\n defineConfigurable(rect, {\r\n x: x, y: y, width: width, height: height,\r\n top: y,\r\n right: x + width,\r\n bottom: height + y,\r\n left: x\r\n });\r\n return rect;\r\n}\r\n/**\r\n * Creates DOMRectInit object based on the provided dimensions and the x/y coordinates.\r\n * Spec: https://drafts.fxtf.org/geometry/#dictdef-domrectinit\r\n *\r\n * @param {number} x - X coordinate.\r\n * @param {number} y - Y coordinate.\r\n * @param {number} width - Rectangle's width.\r\n * @param {number} height - Rectangle's height.\r\n * @returns {DOMRectInit}\r\n */\r\nfunction createRectInit(x, y, width, height) {\r\n return { x: x, y: y, width: width, height: height };\r\n}\n\n/**\r\n * Class that is responsible for computations of the content rectangle of\r\n * provided DOM element and for keeping track of it's changes.\r\n */\r\nvar ResizeObservation = /** @class */ (function () {\r\n /**\r\n * Creates an instance of ResizeObservation.\r\n *\r\n * @param {Element} target - Element to be observed.\r\n */\r\n function ResizeObservation(target) {\r\n /**\r\n * Broadcasted width of content rectangle.\r\n *\r\n * @type {number}\r\n */\r\n this.broadcastWidth = 0;\r\n /**\r\n * Broadcasted height of content rectangle.\r\n *\r\n * @type {number}\r\n */\r\n this.broadcastHeight = 0;\r\n /**\r\n * Reference to the last observed content rectangle.\r\n *\r\n * @private {DOMRectInit}\r\n */\r\n this.contentRect_ = createRectInit(0, 0, 0, 0);\r\n this.target = target;\r\n }\r\n /**\r\n * Updates content rectangle and tells whether it's width or height properties\r\n * have changed since the last broadcast.\r\n *\r\n * @returns {boolean}\r\n */\r\n ResizeObservation.prototype.isActive = function () {\r\n var rect = getContentRect(this.target);\r\n this.contentRect_ = rect;\r\n return (rect.width !== this.broadcastWidth ||\r\n rect.height !== this.broadcastHeight);\r\n };\r\n /**\r\n * Updates 'broadcastWidth' and 'broadcastHeight' properties with a data\r\n * from the corresponding properties of the last observed content rectangle.\r\n *\r\n * @returns {DOMRectInit} Last observed content rectangle.\r\n */\r\n ResizeObservation.prototype.broadcastRect = function () {\r\n var rect = this.contentRect_;\r\n this.broadcastWidth = rect.width;\r\n this.broadcastHeight = rect.height;\r\n return rect;\r\n };\r\n return ResizeObservation;\r\n}());\n\nvar ResizeObserverEntry = /** @class */ (function () {\r\n /**\r\n * Creates an instance of ResizeObserverEntry.\r\n *\r\n * @param {Element} target - Element that is being observed.\r\n * @param {DOMRectInit} rectInit - Data of the element's content rectangle.\r\n */\r\n function ResizeObserverEntry(target, rectInit) {\r\n var contentRect = createReadOnlyRect(rectInit);\r\n // According to the specification following properties are not writable\r\n // and are also not enumerable in the native implementation.\r\n //\r\n // Property accessors are not being used as they'd require to define a\r\n // private WeakMap storage which may cause memory leaks in browsers that\r\n // don't support this type of collections.\r\n defineConfigurable(this, { target: target, contentRect: contentRect });\r\n }\r\n return ResizeObserverEntry;\r\n}());\n\nvar ResizeObserverSPI = /** @class */ (function () {\r\n /**\r\n * Creates a new instance of ResizeObserver.\r\n *\r\n * @param {ResizeObserverCallback} callback - Callback function that is invoked\r\n * when one of the observed elements changes it's content dimensions.\r\n * @param {ResizeObserverController} controller - Controller instance which\r\n * is responsible for the updates of observer.\r\n * @param {ResizeObserver} callbackCtx - Reference to the public\r\n * ResizeObserver instance which will be passed to callback function.\r\n */\r\n function ResizeObserverSPI(callback, controller, callbackCtx) {\r\n /**\r\n * Collection of resize observations that have detected changes in dimensions\r\n * of elements.\r\n *\r\n * @private {Array}\r\n */\r\n this.activeObservations_ = [];\r\n /**\r\n * Registry of the ResizeObservation instances.\r\n *\r\n * @private {Map}\r\n */\r\n this.observations_ = new MapShim();\r\n if (typeof callback !== 'function') {\r\n throw new TypeError('The callback provided as parameter 1 is not a function.');\r\n }\r\n this.callback_ = callback;\r\n this.controller_ = controller;\r\n this.callbackCtx_ = callbackCtx;\r\n }\r\n /**\r\n * Starts observing provided element.\r\n *\r\n * @param {Element} target - Element to be observed.\r\n * @returns {void}\r\n */\r\n ResizeObserverSPI.prototype.observe = function (target) {\r\n if (!arguments.length) {\r\n throw new TypeError('1 argument required, but only 0 present.');\r\n }\r\n // Do nothing if current environment doesn't have the Element interface.\r\n if (typeof Element === 'undefined' || !(Element instanceof Object)) {\r\n return;\r\n }\r\n if (!(target instanceof getWindowOf(target).Element)) {\r\n throw new TypeError('parameter 1 is not of type \"Element\".');\r\n }\r\n var observations = this.observations_;\r\n // Do nothing if element is already being observed.\r\n if (observations.has(target)) {\r\n return;\r\n }\r\n observations.set(target, new ResizeObservation(target));\r\n this.controller_.addObserver(this);\r\n // Force the update of observations.\r\n this.controller_.refresh();\r\n };\r\n /**\r\n * Stops observing provided element.\r\n *\r\n * @param {Element} target - Element to stop observing.\r\n * @returns {void}\r\n */\r\n ResizeObserverSPI.prototype.unobserve = function (target) {\r\n if (!arguments.length) {\r\n throw new TypeError('1 argument required, but only 0 present.');\r\n }\r\n // Do nothing if current environment doesn't have the Element interface.\r\n if (typeof Element === 'undefined' || !(Element instanceof Object)) {\r\n return;\r\n }\r\n if (!(target instanceof getWindowOf(target).Element)) {\r\n throw new TypeError('parameter 1 is not of type \"Element\".');\r\n }\r\n var observations = this.observations_;\r\n // Do nothing if element is not being observed.\r\n if (!observations.has(target)) {\r\n return;\r\n }\r\n observations.delete(target);\r\n if (!observations.size) {\r\n this.controller_.removeObserver(this);\r\n }\r\n };\r\n /**\r\n * Stops observing all elements.\r\n *\r\n * @returns {void}\r\n */\r\n ResizeObserverSPI.prototype.disconnect = function () {\r\n this.clearActive();\r\n this.observations_.clear();\r\n this.controller_.removeObserver(this);\r\n };\r\n /**\r\n * Collects observation instances the associated element of which has changed\r\n * it's content rectangle.\r\n *\r\n * @returns {void}\r\n */\r\n ResizeObserverSPI.prototype.gatherActive = function () {\r\n var _this = this;\r\n this.clearActive();\r\n this.observations_.forEach(function (observation) {\r\n if (observation.isActive()) {\r\n _this.activeObservations_.push(observation);\r\n }\r\n });\r\n };\r\n /**\r\n * Invokes initial callback function with a list of ResizeObserverEntry\r\n * instances collected from active resize observations.\r\n *\r\n * @returns {void}\r\n */\r\n ResizeObserverSPI.prototype.broadcastActive = function () {\r\n // Do nothing if observer doesn't have active observations.\r\n if (!this.hasActive()) {\r\n return;\r\n }\r\n var ctx = this.callbackCtx_;\r\n // Create ResizeObserverEntry instance for every active observation.\r\n var entries = this.activeObservations_.map(function (observation) {\r\n return new ResizeObserverEntry(observation.target, observation.broadcastRect());\r\n });\r\n this.callback_.call(ctx, entries, ctx);\r\n this.clearActive();\r\n };\r\n /**\r\n * Clears the collection of active observations.\r\n *\r\n * @returns {void}\r\n */\r\n ResizeObserverSPI.prototype.clearActive = function () {\r\n this.activeObservations_.splice(0);\r\n };\r\n /**\r\n * Tells whether observer has active observations.\r\n *\r\n * @returns {boolean}\r\n */\r\n ResizeObserverSPI.prototype.hasActive = function () {\r\n return this.activeObservations_.length > 0;\r\n };\r\n return ResizeObserverSPI;\r\n}());\n\n// Registry of internal observers. If WeakMap is not available use current shim\r\n// for the Map collection as it has all required methods and because WeakMap\r\n// can't be fully polyfilled anyway.\r\nvar observers = typeof WeakMap !== 'undefined' ? new WeakMap() : new MapShim();\r\n/**\r\n * ResizeObserver API. Encapsulates the ResizeObserver SPI implementation\r\n * exposing only those methods and properties that are defined in the spec.\r\n */\r\nvar ResizeObserver = /** @class */ (function () {\r\n /**\r\n * Creates a new instance of ResizeObserver.\r\n *\r\n * @param {ResizeObserverCallback} callback - Callback that is invoked when\r\n * dimensions of the observed elements change.\r\n */\r\n function ResizeObserver(callback) {\r\n if (!(this instanceof ResizeObserver)) {\r\n throw new TypeError('Cannot call a class as a function.');\r\n }\r\n if (!arguments.length) {\r\n throw new TypeError('1 argument required, but only 0 present.');\r\n }\r\n var controller = ResizeObserverController.getInstance();\r\n var observer = new ResizeObserverSPI(callback, controller, this);\r\n observers.set(this, observer);\r\n }\r\n return ResizeObserver;\r\n}());\r\n// Expose public methods of ResizeObserver.\r\n[\r\n 'observe',\r\n 'unobserve',\r\n 'disconnect'\r\n].forEach(function (method) {\r\n ResizeObserver.prototype[method] = function () {\r\n var _a;\r\n return (_a = observers.get(this))[method].apply(_a, arguments);\r\n };\r\n});\n\nvar index = (function () {\r\n // Export existing implementation if available.\r\n if (typeof global$1.ResizeObserver !== 'undefined') {\r\n return global$1.ResizeObserver;\r\n }\r\n return ResizeObserver;\r\n})();\n\nexport default index;\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport ResizeObserver from \"resize-observer-polyfill\"\nimport {\n NEVER,\n Observable,\n Subject,\n defer,\n filter,\n finalize,\n map,\n merge,\n of,\n shareReplay,\n startWith,\n switchMap,\n tap\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Element offset\n */\nexport interface ElementSize {\n width: number /* Element width */\n height: number /* Element height */\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Resize observer entry subject\n */\nconst entry$ = new Subject()\n\n/**\n * Resize observer observable\n *\n * This observable will create a `ResizeObserver` on the first subscription\n * and will automatically terminate it when there are no more subscribers.\n * It's quite important to centralize observation in a single `ResizeObserver`,\n * as the performance difference can be quite dramatic, as the link shows.\n *\n * @see https://bit.ly/3iIYfEm - Google Groups on performance\n */\nconst observer$ = defer(() => of(\n new ResizeObserver(entries => {\n for (const entry of entries)\n entry$.next(entry)\n })\n))\n .pipe(\n switchMap(observer => merge(NEVER, of(observer))\n .pipe(\n finalize(() => observer.disconnect())\n )\n ),\n shareReplay(1)\n )\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve element size\n *\n * @param el - Element\n *\n * @returns Element size\n */\nexport function getElementSize(\n el: HTMLElement\n): ElementSize {\n return {\n width: el.offsetWidth,\n height: el.offsetHeight\n }\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch element size\n *\n * This function returns an observable that subscribes to a single internal\n * instance of `ResizeObserver` upon subscription, and emit resize events until\n * termination. Note that this function should not be called with the same\n * element twice, as the first unsubscription will terminate observation.\n *\n * Sadly, we can't use the `DOMRect` objects returned by the observer, because\n * we need the emitted values to be consistent with `getElementSize`, which will\n * return the used values (rounded) and not actual values (unrounded). Thus, we\n * use the `offset*` properties. See the linked GitHub issue.\n *\n * @see https://bit.ly/3m0k3he - GitHub issue\n *\n * @param el - Element\n *\n * @returns Element size observable\n */\nexport function watchElementSize(\n el: HTMLElement\n): Observable {\n return observer$\n .pipe(\n tap(observer => observer.observe(el)),\n switchMap(observer => entry$\n .pipe(\n filter(({ target }) => target === el),\n finalize(() => observer.unobserve(el)),\n map(() => getElementSize(el))\n )\n ),\n startWith(getElementSize(el))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { ElementSize } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve element content size (= scroll width and height)\n *\n * @param el - Element\n *\n * @returns Element content size\n */\nexport function getElementContentSize(\n el: HTMLElement\n): ElementSize {\n return {\n width: el.scrollWidth,\n height: el.scrollHeight\n }\n}\n\n/**\n * Retrieve the overflowing container of an element, if any\n *\n * @param el - Element\n *\n * @returns Overflowing container or nothing\n */\nexport function getElementContainer(\n el: HTMLElement\n): HTMLElement | undefined {\n let parent = el.parentElement\n while (parent)\n if (\n el.scrollWidth <= parent.scrollWidth &&\n el.scrollHeight <= parent.scrollHeight\n )\n parent = (el = parent).parentElement\n else\n break\n\n /* Return overflowing container */\n return parent ? el : undefined\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n NEVER,\n Observable,\n Subject,\n defer,\n distinctUntilChanged,\n filter,\n finalize,\n map,\n merge,\n of,\n shareReplay,\n switchMap,\n tap\n} from \"rxjs\"\n\nimport {\n getElementContentSize,\n getElementSize,\n watchElementContentOffset\n} from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Intersection observer entry subject\n */\nconst entry$ = new Subject()\n\n/**\n * Intersection observer observable\n *\n * This observable will create an `IntersectionObserver` on first subscription\n * and will automatically terminate it when there are no more subscribers.\n *\n * @see https://bit.ly/3iIYfEm - Google Groups on performance\n */\nconst observer$ = defer(() => of(\n new IntersectionObserver(entries => {\n for (const entry of entries)\n entry$.next(entry)\n }, {\n threshold: 0\n })\n))\n .pipe(\n switchMap(observer => merge(NEVER, of(observer))\n .pipe(\n finalize(() => observer.disconnect())\n )\n ),\n shareReplay(1)\n )\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch element visibility\n *\n * @param el - Element\n *\n * @returns Element visibility observable\n */\nexport function watchElementVisibility(\n el: HTMLElement\n): Observable {\n return observer$\n .pipe(\n tap(observer => observer.observe(el)),\n switchMap(observer => entry$\n .pipe(\n filter(({ target }) => target === el),\n finalize(() => observer.unobserve(el)),\n map(({ isIntersecting }) => isIntersecting)\n )\n )\n )\n}\n\n/**\n * Watch element boundary\n *\n * This function returns an observable which emits whether the bottom content\n * boundary (= scroll offset) of an element is within a certain threshold.\n *\n * @param el - Element\n * @param threshold - Threshold\n *\n * @returns Element boundary observable\n */\nexport function watchElementBoundary(\n el: HTMLElement, threshold = 16\n): Observable {\n return watchElementContentOffset(el)\n .pipe(\n map(({ y }) => {\n const visible = getElementSize(el)\n const content = getElementContentSize(el)\n return y >= (\n content.height - visible.height - threshold\n )\n }),\n distinctUntilChanged()\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n fromEvent,\n map,\n startWith\n} from \"rxjs\"\n\nimport { getElement } from \"../element\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Toggle\n */\nexport type Toggle =\n | \"drawer\" /* Toggle for drawer */\n | \"search\" /* Toggle for search */\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Toggle map\n */\nconst toggles: Record = {\n drawer: getElement(\"[data-md-toggle=drawer]\"),\n search: getElement(\"[data-md-toggle=search]\")\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve the value of a toggle\n *\n * @param name - Toggle\n *\n * @returns Toggle value\n */\nexport function getToggle(name: Toggle): boolean {\n return toggles[name].checked\n}\n\n/**\n * Set toggle\n *\n * Simulating a click event seems to be the most cross-browser compatible way\n * of changing the value while also emitting a `change` event. Before, Material\n * used `CustomEvent` to programmatically change the value of a toggle, but this\n * is a much simpler and cleaner solution which doesn't require a polyfill.\n *\n * @param name - Toggle\n * @param value - Toggle value\n */\nexport function setToggle(name: Toggle, value: boolean): void {\n if (toggles[name].checked !== value)\n toggles[name].click()\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch toggle\n *\n * @param name - Toggle\n *\n * @returns Toggle value observable\n */\nexport function watchToggle(name: Toggle): Observable {\n const el = toggles[name]\n return fromEvent(el, \"change\")\n .pipe(\n map(() => el.checked),\n startWith(el.checked)\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n filter,\n fromEvent,\n map,\n share\n} from \"rxjs\"\n\nimport { getActiveElement } from \"../element\"\nimport { getToggle } from \"../toggle\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Keyboard mode\n */\nexport type KeyboardMode =\n | \"global\" /* Global */\n | \"search\" /* Search is open */\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Keyboard\n */\nexport interface Keyboard {\n mode: KeyboardMode /* Keyboard mode */\n type: string /* Key type */\n claim(): void /* Key claim */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Check whether an element may receive keyboard input\n *\n * @param el - Element\n * @param type - Key type\n *\n * @returns Test result\n */\nfunction isSusceptibleToKeyboard(\n el: HTMLElement, type: string\n): boolean {\n switch (el.constructor) {\n\n /* Input elements */\n case HTMLInputElement:\n /* @ts-expect-error - omit unnecessary type cast */\n if (el.type === \"radio\")\n return /^Arrow/.test(type)\n else\n return true\n\n /* Select element and textarea */\n case HTMLSelectElement:\n case HTMLTextAreaElement:\n return true\n\n /* Everything else */\n default:\n return el.isContentEditable\n }\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch keyboard\n *\n * @returns Keyboard observable\n */\nexport function watchKeyboard(): Observable {\n return fromEvent(window, \"keydown\")\n .pipe(\n filter(ev => !(ev.metaKey || ev.ctrlKey)),\n map(ev => ({\n mode: getToggle(\"search\") ? \"search\" : \"global\",\n type: ev.key,\n claim() {\n ev.preventDefault()\n ev.stopPropagation()\n }\n } as Keyboard)),\n filter(({ mode, type }) => {\n if (mode === \"global\") {\n const active = getActiveElement()\n if (typeof active !== \"undefined\")\n return !isSusceptibleToKeyboard(active, type)\n }\n return true\n }),\n share()\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { Subject } from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve location\n *\n * This function returns a `URL` object (and not `Location`) to normalize the\n * typings across the application. Furthermore, locations need to be tracked\n * without setting them and `Location` is a singleton which represents the\n * current location.\n *\n * @returns URL\n */\nexport function getLocation(): URL {\n return new URL(location.href)\n}\n\n/**\n * Set location\n *\n * @param url - URL to change to\n */\nexport function setLocation(url: URL): void {\n location.href = url.href\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch location\n *\n * @returns Location subject\n */\nexport function watchLocation(): Subject {\n return new Subject()\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { JSX as JSXInternal } from \"preact\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * HTML attributes\n */\ntype Attributes =\n & JSXInternal.HTMLAttributes\n & JSXInternal.SVGAttributes\n & Record\n\n/**\n * Child element\n */\ntype Child =\n | HTMLElement\n | Text\n | string\n | number\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Append a child node to an element\n *\n * @param el - Element\n * @param child - Child node(s)\n */\nfunction appendChild(el: HTMLElement, child: Child | Child[]): void {\n\n /* Handle primitive types (including raw HTML) */\n if (typeof child === \"string\" || typeof child === \"number\") {\n el.innerHTML += child.toString()\n\n /* Handle nodes */\n } else if (child instanceof Node) {\n el.appendChild(child)\n\n /* Handle nested children */\n } else if (Array.isArray(child)) {\n for (const node of child)\n appendChild(el, node)\n }\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * JSX factory\n *\n * @template T - Element type\n *\n * @param tag - HTML tag\n * @param attributes - HTML attributes\n * @param children - Child elements\n *\n * @returns Element\n */\nexport function h(\n tag: T, attributes?: Attributes | null, ...children: Child[]\n): HTMLElementTagNameMap[T]\n\nexport function h(\n tag: string, attributes?: Attributes | null, ...children: Child[]\n): T\n\nexport function h(\n tag: string, attributes?: Attributes | null, ...children: Child[]\n): T {\n const el = document.createElement(tag)\n\n /* Set attributes, if any */\n if (attributes)\n for (const attr of Object.keys(attributes)) {\n if (typeof attributes[attr] === \"undefined\")\n continue\n\n /* Set default attribute or boolean */\n if (typeof attributes[attr] !== \"boolean\")\n el.setAttribute(attr, attributes[attr])\n else\n el.setAttribute(attr, \"\")\n }\n\n /* Append child nodes */\n for (const child of children)\n appendChild(el, child)\n\n /* Return element */\n return el as T\n}\n\n/* ----------------------------------------------------------------------------\n * Namespace\n * ------------------------------------------------------------------------- */\n\nexport declare namespace h {\n namespace JSX {\n type Element = HTMLElement\n type IntrinsicElements = JSXInternal.IntrinsicElements\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Truncate a string after the given number of characters\n *\n * This is not a very reasonable approach, since the summaries kind of suck.\n * It would be better to create something more intelligent, highlighting the\n * search occurrences and making a better summary out of it, but this note was\n * written three years ago, so who knows if we'll ever fix it.\n *\n * @param value - Value to be truncated\n * @param n - Number of characters\n *\n * @returns Truncated value\n */\nexport function truncate(value: string, n: number): string {\n let i = n\n if (value.length > i) {\n while (value[i] !== \" \" && --i > 0) { /* keep eating */ }\n return `${value.substring(0, i)}...`\n }\n return value\n}\n\n/**\n * Round a number for display with repository facts\n *\n * This is a reverse-engineered version of GitHub's weird rounding algorithm\n * for stars, forks and all other numbers. While all numbers below `1,000` are\n * returned as-is, bigger numbers are converted to fixed numbers:\n *\n * - `1,049` => `1k`\n * - `1,050` => `1.1k`\n * - `1,949` => `1.9k`\n * - `1,950` => `2k`\n *\n * @param value - Original value\n *\n * @returns Rounded value\n */\nexport function round(value: number): string {\n if (value > 999) {\n const digits = +((value - 950) % 1000 > 99)\n return `${((value + 0.000001) / 1000).toFixed(digits)}k`\n } else {\n return value.toString()\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n filter,\n fromEvent,\n map,\n shareReplay,\n startWith\n} from \"rxjs\"\n\nimport { getOptionalElement } from \"~/browser\"\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve location hash\n *\n * @returns Location hash\n */\nexport function getLocationHash(): string {\n return location.hash.substring(1)\n}\n\n/**\n * Set location hash\n *\n * Setting a new fragment identifier via `location.hash` will have no effect\n * if the value doesn't change. When a new fragment identifier is set, we want\n * the browser to target the respective element at all times, which is why we\n * use this dirty little trick.\n *\n * @param hash - Location hash\n */\nexport function setLocationHash(hash: string): void {\n const el = h(\"a\", { href: hash })\n el.addEventListener(\"click\", ev => ev.stopPropagation())\n el.click()\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch location hash\n *\n * @returns Location hash observable\n */\nexport function watchLocationHash(): Observable {\n return fromEvent(window, \"hashchange\")\n .pipe(\n map(getLocationHash),\n startWith(getLocationHash()),\n filter(hash => hash.length > 0),\n shareReplay(1)\n )\n}\n\n/**\n * Watch location target\n *\n * @returns Location target observable\n */\nexport function watchLocationTarget(): Observable {\n return watchLocationHash()\n .pipe(\n map(id => getOptionalElement(`[id=\"${id}\"]`)!),\n filter(el => typeof el !== \"undefined\")\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Observable,\n fromEvent,\n fromEventPattern,\n map,\n merge,\n startWith,\n switchMap\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch media query\n *\n * Note that although `MediaQueryList.addListener` is deprecated we have to\n * use it, because it's the only way to ensure proper downward compatibility.\n *\n * @see https://bit.ly/3dUBH2m - GitHub issue\n *\n * @param query - Media query\n *\n * @returns Media observable\n */\nexport function watchMedia(query: string): Observable {\n const media = matchMedia(query)\n return fromEventPattern(next => (\n media.addListener(() => next(media.matches))\n ))\n .pipe(\n startWith(media.matches)\n )\n}\n\n/**\n * Watch print mode\n *\n * @returns Print observable\n */\nexport function watchPrint(): Observable {\n const media = matchMedia(\"print\")\n return merge(\n fromEvent(window, \"beforeprint\").pipe(map(() => true)),\n fromEvent(window, \"afterprint\").pipe(map(() => false))\n )\n .pipe(\n startWith(media.matches)\n )\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Toggle an observable with a media observable\n *\n * @template T - Data type\n *\n * @param query$ - Media observable\n * @param factory - Observable factory\n *\n * @returns Toggled observable\n */\nexport function at(\n query$: Observable, factory: () => Observable\n): Observable {\n return query$\n .pipe(\n switchMap(active => active ? factory() : EMPTY)\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Observable,\n catchError,\n from,\n map,\n of,\n shareReplay,\n switchMap,\n throwError\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch the given URL\n *\n * If the request fails (e.g. when dispatched from `file://` locations), the\n * observable will complete without emitting a value.\n *\n * @param url - Request URL\n * @param options - Options\n *\n * @returns Response observable\n */\nexport function request(\n url: URL | string, options: RequestInit = { credentials: \"same-origin\" }\n): Observable {\n return from(fetch(`${url}`, options))\n .pipe(\n catchError(() => EMPTY),\n switchMap(res => res.status !== 200\n ? throwError(() => new Error(res.statusText))\n : of(res)\n )\n )\n}\n\n/**\n * Fetch JSON from the given URL\n *\n * @template T - Data type\n *\n * @param url - Request URL\n * @param options - Options\n *\n * @returns Data observable\n */\nexport function requestJSON(\n url: URL | string, options?: RequestInit\n): Observable {\n return request(url, options)\n .pipe(\n switchMap(res => res.json()),\n shareReplay(1)\n )\n}\n\n/**\n * Fetch XML from the given URL\n *\n * @param url - Request URL\n * @param options - Options\n *\n * @returns Data observable\n */\nexport function requestXML(\n url: URL | string, options?: RequestInit\n): Observable {\n const dom = new DOMParser()\n return request(url, options)\n .pipe(\n switchMap(res => res.text()),\n map(res => dom.parseFromString(res, \"text/xml\")),\n shareReplay(1)\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n defer,\n finalize,\n fromEvent,\n map,\n merge,\n switchMap,\n take,\n throwError\n} from \"rxjs\"\n\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create and load a `script` element\n *\n * This function returns an observable that will emit when the script was\n * successfully loaded, or throw an error if it didn't.\n *\n * @param src - Script URL\n *\n * @returns Script observable\n */\nexport function watchScript(src: string): Observable {\n const script = h(\"script\", { src })\n return defer(() => {\n document.head.appendChild(script)\n return merge(\n fromEvent(script, \"load\"),\n fromEvent(script, \"error\")\n .pipe(\n switchMap(() => (\n throwError(() => new ReferenceError(`Invalid script: ${src}`))\n ))\n )\n )\n .pipe(\n map(() => undefined),\n finalize(() => document.head.removeChild(script)),\n take(1)\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n fromEvent,\n map,\n merge,\n startWith\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Viewport offset\n */\nexport interface ViewportOffset {\n x: number /* Horizontal offset */\n y: number /* Vertical offset */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve viewport offset\n *\n * On iOS Safari, viewport offset can be negative due to overflow scrolling.\n * As this may induce strange behaviors downstream, we'll just limit it to 0.\n *\n * @returns Viewport offset\n */\nexport function getViewportOffset(): ViewportOffset {\n return {\n x: Math.max(0, scrollX),\n y: Math.max(0, scrollY)\n }\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch viewport offset\n *\n * @returns Viewport offset observable\n */\nexport function watchViewportOffset(): Observable {\n return merge(\n fromEvent(window, \"scroll\", { passive: true }),\n fromEvent(window, \"resize\", { passive: true })\n )\n .pipe(\n map(getViewportOffset),\n startWith(getViewportOffset())\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n fromEvent,\n map,\n startWith\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Viewport size\n */\nexport interface ViewportSize {\n width: number /* Viewport width */\n height: number /* Viewport height */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve viewport size\n *\n * @returns Viewport size\n */\nexport function getViewportSize(): ViewportSize {\n return {\n width: innerWidth,\n height: innerHeight\n }\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch viewport size\n *\n * @returns Viewport size observable\n */\nexport function watchViewportSize(): Observable {\n return fromEvent(window, \"resize\", { passive: true })\n .pipe(\n map(getViewportSize),\n startWith(getViewportSize())\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n combineLatest,\n map,\n shareReplay\n} from \"rxjs\"\n\nimport {\n ViewportOffset,\n watchViewportOffset\n} from \"../offset\"\nimport {\n ViewportSize,\n watchViewportSize\n} from \"../size\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Viewport\n */\nexport interface Viewport {\n offset: ViewportOffset /* Viewport offset */\n size: ViewportSize /* Viewport size */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch viewport\n *\n * @returns Viewport observable\n */\nexport function watchViewport(): Observable {\n return combineLatest([\n watchViewportOffset(),\n watchViewportSize()\n ])\n .pipe(\n map(([offset, size]) => ({ offset, size })),\n shareReplay(1)\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n combineLatest,\n distinctUntilKeyChanged,\n map\n} from \"rxjs\"\n\nimport { Header } from \"~/components\"\n\nimport { getElementOffset } from \"../../element\"\nimport { Viewport } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
/* Header observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch viewport relative to element\n *\n * @param el - Element\n * @param options - Options\n *\n * @returns Viewport observable\n */\nexport function watchViewportAt(\n el: HTMLElement, { viewport$, header$ }: WatchOptions\n): Observable {\n const size$ = viewport$\n .pipe(\n distinctUntilKeyChanged(\"size\")\n )\n\n /* Compute element offset */\n const offset$ = combineLatest([size$, header$])\n .pipe(\n map(() => getElementOffset(el))\n )\n\n /* Compute relative viewport, return hot observable */\n return combineLatest([header$, viewport$, offset$])\n .pipe(\n map(([{ height }, { offset, size }, { x, y }]) => ({\n offset: {\n x: offset.x - x,\n y: offset.y - y + height\n },\n size\n }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n fromEvent,\n map,\n share,\n switchMap,\n tap,\n throttle\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Worker message\n */\nexport interface WorkerMessage {\n type: unknown /* Message type */\n data?: unknown /* Message data */\n}\n\n/**\n * Worker handler\n *\n * @template T - Message type\n */\nexport interface WorkerHandler<\n T extends WorkerMessage\n> {\n tx$: Subject /* Message transmission subject */\n rx$: Observable /* Message receive observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n *\n * @template T - Worker message type\n */\ninterface WatchOptions {\n tx$: Observable /* Message transmission observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch a web worker\n *\n * This function returns an observable that sends all values emitted by the\n * message observable to the web worker. Web worker communication is expected\n * to be bidirectional (request-response) and synchronous. Messages that are\n * emitted during a pending request are throttled, the last one is emitted.\n *\n * @param worker - Web worker\n * @param options - Options\n *\n * @returns Worker message observable\n */\nexport function watchWorker(\n worker: Worker, { tx$ }: WatchOptions\n): Observable {\n\n /* Intercept messages from worker-like objects */\n const rx$ = fromEvent(worker, \"message\")\n .pipe(\n map(({ data }) => data as T)\n )\n\n /* Send and receive messages, return hot observable */\n return tx$\n .pipe(\n throttle(() => rx$, { leading: true, trailing: true }),\n tap(message => worker.postMessage(message)),\n switchMap(() => rx$),\n share()\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { getElement, getLocation } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Feature flag\n */\nexport type Flag =\n | \"announce.dismiss\" /* Dismissable announcement bar */\n | \"content.code.annotate\" /* Code annotations */\n | \"content.lazy\" /* Lazy content elements */\n | \"content.tabs.link\" /* Link content tabs */\n | \"header.autohide\" /* Hide header */\n | \"navigation.expand\" /* Automatic expansion */\n | \"navigation.indexes\" /* Section pages */\n | \"navigation.instant\" /* Instant loading */\n | \"navigation.sections\" /* Section navigation */\n | \"navigation.tabs\" /* Tabs navigation */\n | \"navigation.tabs.sticky\" /* Tabs navigation (sticky) */\n | \"navigation.top\" /* Back-to-top button */\n | \"navigation.tracking\" /* Anchor tracking */\n | \"search.highlight\" /* Search highlighting */\n | \"search.share\" /* Search sharing */\n | \"search.suggest\" /* Search suggestions */\n | \"toc.follow\" /* Following table of contents */\n | \"toc.integrate\" /* Integrated table of contents */\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Translation\n */\nexport type Translation =\n | \"clipboard.copy\" /* Copy to clipboard */\n | \"clipboard.copied\" /* Copied to clipboard */\n | \"search.config.lang\" /* Search language */\n | \"search.config.pipeline\" /* Search pipeline */\n | \"search.config.separator\" /* Search separator */\n | \"search.placeholder\" /* Search */\n | \"search.result.placeholder\" /* Type to start searching */\n | \"search.result.none\" /* No matching documents */\n | \"search.result.one\" /* 1 matching document */\n | \"search.result.other\" /* # matching documents */\n | \"search.result.more.one\" /* 1 more on this page */\n | \"search.result.more.other\" /* # more on this page */\n | \"search.result.term.missing\" /* Missing */\n | \"select.version.title\" /* Version selector */\n\n/**\n * Translations\n */\nexport type Translations = Record\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Versioning\n */\nexport interface Versioning {\n provider: \"mike\" /* Version provider */\n default?: string /* Default version */\n}\n\n/**\n * Configuration\n */\nexport interface Config {\n base: string /* Base URL */\n features: Flag[] /* Feature flags */\n translations: Translations /* Translations */\n search: string /* Search worker URL */\n tags?: Record /* Tags mapping */\n version?: Versioning /* Versioning */\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve global configuration and make base URL absolute\n */\nconst script = getElement(\"#__config\")\nconst config: Config = JSON.parse(script.textContent!)\nconfig.base = `${new URL(config.base, getLocation())}`\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve global configuration\n *\n * @returns Global configuration\n */\nexport function configuration(): Config {\n return config\n}\n\n/**\n * Check whether a feature flag is enabled\n *\n * @param flag - Feature flag\n *\n * @returns Test result\n */\nexport function feature(flag: Flag): boolean {\n return config.features.includes(flag)\n}\n\n/**\n * Retrieve the translation for the given key\n *\n * @param key - Key to be translated\n * @param value - Positional value, if any\n *\n * @returns Translation\n */\nexport function translation(\n key: Translation, value?: string | number\n): string {\n return typeof value !== \"undefined\"\n ? config.translations[key].replace(\"#\", value.toString())\n : config.translations[key]\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { getElement, getElements } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Component type\n */\nexport type ComponentType =\n | \"announce\" /* Announcement bar */\n | \"container\" /* Container */\n | \"consent\" /* Consent */\n | \"content\" /* Content */\n | \"dialog\" /* Dialog */\n | \"header\" /* Header */\n | \"header-title\" /* Header title */\n | \"header-topic\" /* Header topic */\n | \"main\" /* Main area */\n | \"outdated\" /* Version warning */\n | \"palette\" /* Color palette */\n | \"search\" /* Search */\n | \"search-query\" /* Search input */\n | \"search-result\" /* Search results */\n | \"search-share\" /* Search sharing */\n | \"search-suggest\" /* Search suggestions */\n | \"sidebar\" /* Sidebar */\n | \"skip\" /* Skip link */\n | \"source\" /* Repository information */\n | \"tabs\" /* Navigation tabs */\n | \"toc\" /* Table of contents */\n | \"top\" /* Back-to-top button */\n\n/**\n * Component\n *\n * @template T - Component type\n * @template U - Reference type\n */\nexport type Component<\n T extends {} = {},\n U extends HTMLElement = HTMLElement\n> =\n T & {\n ref: U /* Component reference */\n }\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Component type map\n */\ninterface ComponentTypeMap {\n \"announce\": HTMLElement /* Announcement bar */\n \"container\": HTMLElement /* Container */\n \"consent\": HTMLElement /* Consent */\n \"content\": HTMLElement /* Content */\n \"dialog\": HTMLElement /* Dialog */\n \"header\": HTMLElement /* Header */\n \"header-title\": HTMLElement /* Header title */\n \"header-topic\": HTMLElement /* Header topic */\n \"main\": HTMLElement /* Main area */\n \"outdated\": HTMLElement /* Version warning */\n \"palette\": HTMLElement /* Color palette */\n \"search\": HTMLElement /* Search */\n \"search-query\": HTMLInputElement /* Search input */\n \"search-result\": HTMLElement /* Search results */\n \"search-share\": HTMLAnchorElement /* Search sharing */\n \"search-suggest\": HTMLElement /* Search suggestions */\n \"sidebar\": HTMLElement /* Sidebar */\n \"skip\": HTMLAnchorElement /* Skip link */\n \"source\": HTMLAnchorElement /* Repository information */\n \"tabs\": HTMLElement /* Navigation tabs */\n \"toc\": HTMLElement /* Table of contents */\n \"top\": HTMLAnchorElement /* Back-to-top button */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve the element for a given component or throw a reference error\n *\n * @template T - Component type\n *\n * @param type - Component type\n * @param node - Node of reference\n *\n * @returns Element\n */\nexport function getComponentElement(\n type: T, node: ParentNode = document\n): ComponentTypeMap[T] {\n return getElement(`[data-md-component=${type}]`, node)\n}\n\n/**\n * Retrieve all elements for a given component\n *\n * @template T - Component type\n *\n * @param type - Component type\n * @param node - Node of reference\n *\n * @returns Elements\n */\nexport function getComponentElements(\n type: T, node: ParentNode = document\n): ComponentTypeMap[T][] {\n return getElements(`[data-md-component=${type}]`, node)\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Observable,\n Subject,\n defer,\n finalize,\n fromEvent,\n map,\n startWith,\n tap\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport { getElement } from \"~/browser\"\n\nimport { Component } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Announcement bar\n */\nexport interface Announce {\n hash: number /* Content hash */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch announcement bar\n *\n * @param el - Announcement bar element\n *\n * @returns Announcement bar observable\n */\nexport function watchAnnounce(\n el: HTMLElement\n): Observable {\n const button = getElement(\".md-typeset > :first-child\", el)\n return fromEvent(button, \"click\", { once: true })\n .pipe(\n map(() => getElement(\".md-typeset\", el)),\n map(content => ({ hash: __md_hash(content.innerHTML) }))\n )\n}\n\n/**\n * Mount announcement bar\n *\n * @param el - Announcement bar element\n *\n * @returns Announcement bar component observable\n */\nexport function mountAnnounce(\n el: HTMLElement\n): Observable> {\n if (!feature(\"announce.dismiss\") || !el.childElementCount)\n return EMPTY\n\n /* Mount component on subscription */\n return defer(() => {\n const push$ = new Subject()\n push$\n .pipe(\n startWith({ hash: __md_get(\"__announce\") })\n )\n .subscribe(({ hash }) => {\n if (hash && hash === (__md_get(\"__announce\") ?? hash)) {\n el.hidden = true\n\n /* Persist preference in local storage */\n __md_set(\"__announce\", hash)\n }\n })\n\n /* Create and return component */\n return watchAnnounce(el)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n finalize,\n map,\n tap\n} from \"rxjs\"\n\nimport { Component } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Consent\n */\nexport interface Consent {\n hidden: boolean /* Consent is hidden */\n}\n\n/**\n * Consent defaults\n */\nexport interface ConsentDefaults {\n analytics?: boolean /* Consent for Analytics */\n github?: boolean /* Consent for GitHub */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n target$: Observable /* Target observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n target$: Observable /* Target observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch consent\n *\n * @param el - Consent element\n * @param options - Options\n *\n * @returns Consent observable\n */\nexport function watchConsent(\n el: HTMLElement, { target$ }: WatchOptions\n): Observable {\n return target$\n .pipe(\n map(target => ({ hidden: target !== el }))\n )\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Mount consent\n *\n * @param el - Consent element\n * @param options - Options\n *\n * @returns Consent component observable\n */\nexport function mountConsent(\n el: HTMLElement, options: MountOptions\n): Observable> {\n const internal$ = new Subject()\n internal$.subscribe(({ hidden }) => {\n el.hidden = hidden\n })\n\n /* Create and return component */\n return watchConsent(el, options)\n .pipe(\n tap(state => internal$.next(state)),\n finalize(() => internal$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport ClipboardJS from \"clipboard\"\nimport {\n EMPTY,\n Observable,\n Subject,\n defer,\n distinctUntilChanged,\n distinctUntilKeyChanged,\n filter,\n finalize,\n map,\n mergeWith,\n switchMap,\n take,\n tap\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n getElementContentSize,\n watchElementSize,\n watchElementVisibility\n} from \"~/browser\"\nimport { renderClipboardButton } from \"~/templates\"\n\nimport { Component } from \"../../../_\"\nimport {\n Annotation,\n mountAnnotationList\n} from \"../../annotation\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Code block\n */\nexport interface CodeBlock {\n scrollable: boolean /* Code block overflows */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n target$: Observable /* Location target observable */\n print$: Observable /* Media print observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Global sequence number for code blocks\n */\nlet sequence = 0\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Find candidate list element directly following a code block\n *\n * @param el - Code block element\n *\n * @returns List element or nothing\n */\nfunction findCandidateList(el: HTMLElement): HTMLElement | undefined {\n if (el.nextElementSibling) {\n const sibling = el.nextElementSibling as HTMLElement\n if (sibling.tagName === \"OL\")\n return sibling\n\n /* Skip empty paragraphs - see https://bit.ly/3r4ZJ2O */\n else if (sibling.tagName === \"P\" && !sibling.children.length)\n return findCandidateList(sibling)\n }\n\n /* Everything else */\n return undefined\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch code block\n *\n * This function monitors size changes of the viewport, as well as switches of\n * content tabs with embedded code blocks, as both may trigger overflow.\n *\n * @param el - Code block element\n *\n * @returns Code block observable\n */\nexport function watchCodeBlock(\n el: HTMLElement\n): Observable {\n return watchElementSize(el)\n .pipe(\n map(({ width }) => {\n const content = getElementContentSize(el)\n return {\n scrollable: content.width > width\n }\n }),\n distinctUntilKeyChanged(\"scrollable\")\n )\n}\n\n/**\n * Mount code block\n *\n * This function ensures that an overflowing code block is focusable through\n * keyboard, so it can be scrolled without a mouse to improve on accessibility.\n * Furthermore, if code annotations are enabled, they are mounted if and only\n * if the code block is currently visible, e.g., not in a hidden content tab.\n *\n * Note that code blocks may be mounted eagerly or lazily. If they're mounted\n * lazily (on first visibility), code annotation anchor links will not work,\n * as they are evaluated on initial page load, and code annotations in general\n * might feel a little bumpier.\n *\n * @param el - Code block element\n * @param options - Options\n *\n * @returns Code block and annotation component observable\n */\nexport function mountCodeBlock(\n el: HTMLElement, options: MountOptions\n): Observable> {\n const { matches: hover } = matchMedia(\"(hover)\")\n\n /* Defer mounting of code block - see https://bit.ly/3vHVoVD */\n const factory$ = defer(() => {\n const push$ = new Subject()\n push$.subscribe(({ scrollable }) => {\n if (scrollable && hover)\n el.setAttribute(\"tabindex\", \"0\")\n else\n el.removeAttribute(\"tabindex\")\n })\n\n /* Render button for Clipboard.js integration */\n if (ClipboardJS.isSupported()) {\n const parent = el.closest(\"pre\")!\n parent.id = `__code_${++sequence}`\n parent.insertBefore(\n renderClipboardButton(parent.id),\n el\n )\n }\n\n /* Handle code annotations */\n const container = el.closest(\".highlight\")\n if (container instanceof HTMLElement) {\n const list = findCandidateList(container)\n\n /* Mount code annotations, if enabled */\n if (typeof list !== \"undefined\" && (\n container.classList.contains(\"annotate\") ||\n feature(\"content.code.annotate\")\n )) {\n const annotations$ = mountAnnotationList(list, el, options)\n\n /* Create and return component */\n return watchCodeBlock(el)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state })),\n mergeWith(\n watchElementSize(container)\n .pipe(\n map(({ width, height }) => width && height),\n distinctUntilChanged(),\n switchMap(active => active ? annotations$ : EMPTY)\n )\n )\n )\n }\n }\n\n /* Create and return component */\n return watchCodeBlock(el)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n\n /* Mount code block lazily */\n if (feature(\"content.lazy\"))\n return watchElementVisibility(el)\n .pipe(\n filter(visible => visible),\n take(1),\n switchMap(() => factory$)\n )\n\n /* Mount code block */\n return factory$\n}\n", "/*\n * Copyright (c) 2016-2021 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a tooltip\n *\n * @param id - Tooltip identifier\n *\n * @returns Element\n */\nexport function renderTooltip(id?: string): HTMLElement {\n return (\n
\n
\n
\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { h } from \"~/utilities\"\n\nimport { renderTooltip } from \"../tooltip\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render an annotation\n *\n * @param id - Annotation identifier\n * @param prefix - Tooltip identifier prefix\n *\n * @returns Element\n */\nexport function renderAnnotation(\n id: string | number, prefix?: string\n): HTMLElement {\n prefix = prefix ? `${prefix}_annotation_${id}` : undefined\n\n /* Render tooltip with anchor, if given */\n if (prefix) {\n const anchor = prefix ? `#${prefix}` : undefined\n return (\n \n )\n } else {\n return (\n \n )\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { translation } from \"~/_\"\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a 'copy-to-clipboard' button\n *\n * @param id - Unique identifier\n *\n * @returns Element\n */\nexport function renderClipboardButton(id: string): HTMLElement {\n return (\n code`}\n >\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { ComponentChild } from \"preact\"\n\nimport { configuration, feature, translation } from \"~/_\"\nimport {\n SearchDocument,\n SearchMetadata,\n SearchResultItem\n} from \"~/integrations/search\"\nimport { h, truncate } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Render flag\n */\nconst enum Flag {\n TEASER = 1, /* Render teaser */\n PARENT = 2 /* Render as parent */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper function\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a search document\n *\n * @param document - Search document\n * @param flag - Render flags\n *\n * @returns Element\n */\nfunction renderSearchDocument(\n document: SearchDocument & SearchMetadata, flag: Flag\n): HTMLElement {\n const parent = flag & Flag.PARENT\n const teaser = flag & Flag.TEASER\n\n /* Render missing query terms */\n const missing = Object.keys(document.terms)\n .filter(key => !document.terms[key])\n .reduce((list, key) => [\n ...list, {key}, \" \"\n ], [])\n .slice(0, -1)\n\n /* Assemble query string for highlighting */\n const url = new URL(document.location)\n if (feature(\"search.highlight\"))\n url.searchParams.set(\"h\", Object.entries(document.terms)\n .filter(([, match]) => match)\n .reduce((highlight, [value]) => `${highlight} ${value}`.trim(), \"\")\n )\n\n /* Render article or section, depending on flags */\n const { tags } = configuration()\n return (\n \n \n {parent > 0 &&
}\n

{document.title}

\n {teaser > 0 && document.text.length > 0 &&\n

\n {truncate(document.text, 320)}\n

\n }\n {document.tags && (\n
\n {document.tags.map(tag => {\n const id = tag.replace(/<[^>]+>/g, \"\")\n const type = tags\n ? id in tags\n ? `md-tag-icon md-tag-icon--${tags[id]}`\n : \"md-tag-icon\"\n : \"\"\n return (\n {tag}\n )\n })}\n
\n )}\n {teaser > 0 && missing.length > 0 &&\n

\n {translation(\"search.result.term.missing\")}: {...missing}\n

\n }\n \n \n )\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a search result\n *\n * @param result - Search result\n *\n * @returns Element\n */\nexport function renderSearchResultItem(\n result: SearchResultItem\n): HTMLElement {\n const threshold = result[0].score\n const docs = [...result]\n\n /* Find and extract parent article */\n const parent = docs.findIndex(doc => !doc.location.includes(\"#\"))\n const [article] = docs.splice(parent, 1)\n\n /* Determine last index above threshold */\n let index = docs.findIndex(doc => doc.score < threshold)\n if (index === -1)\n index = docs.length\n\n /* Partition sections */\n const best = docs.slice(0, index)\n const more = docs.slice(index)\n\n /* Render children */\n const children = [\n renderSearchDocument(article, Flag.PARENT | +(!parent && index === 0)),\n ...best.map(section => renderSearchDocument(section, Flag.TEASER)),\n ...more.length ? [\n
\n \n {more.length > 0 && more.length === 1\n ? translation(\"search.result.more.one\")\n : translation(\"search.result.more.other\", more.length)\n }\n \n {...more.map(section => renderSearchDocument(section, Flag.TEASER))}\n
\n ] : []\n ]\n\n /* Render search result */\n return (\n
  • \n {children}\n
    • \n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { SourceFacts } from \"~/components\"\nimport { h, round } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render repository facts\n *\n * @param facts - Repository facts\n *\n * @returns Element\n */\nexport function renderSourceFacts(facts: SourceFacts): HTMLElement {\n return (\n
      \n {Object.entries(facts).map(([key, value]) => (\n
    • \n {typeof value === \"number\" ? round(value) : value}\n
      • \n ))}\n
    \n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Tabbed control type\n */\ntype TabbedControlType =\n | \"prev\"\n | \"next\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render control for content tabs\n *\n * @param type - Control type\n *\n * @returns Element\n */\nexport function renderTabbedControl(\n type: TabbedControlType\n): HTMLElement {\n const classes = `tabbed-control tabbed-control--${type}`\n return (\n \n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a table inside a wrapper to improve scrolling on mobile\n *\n * @param table - Table element\n *\n * @returns Element\n */\nexport function renderTable(table: HTMLElement): HTMLElement {\n return (\n
    \n
    \n {table}\n
    \n
    \n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { configuration, translation } from \"~/_\"\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Version\n */\nexport interface Version {\n version: string /* Version identifier */\n title: string /* Version title */\n aliases: string[] /* Version aliases */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a version\n *\n * @param version - Version\n *\n * @returns Element\n */\nfunction renderVersion(version: Version): HTMLElement {\n const config = configuration()\n\n /* Ensure trailing slash - see https://bit.ly/3rL5u3f */\n const url = new URL(`../${version.version}/`, config.base)\n return (\n
  • \n \n {version.title}\n \n
    • \n )\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a version selector\n *\n * @param versions - Versions\n * @param active - Active version\n *\n * @returns Element\n */\nexport function renderVersionSelector(\n versions: Version[], active: Version\n): HTMLElement {\n return (\n
    \n \n {active.title}\n \n
      \n {versions.map(renderVersion)}\n
    \n
    \n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n animationFrameScheduler,\n auditTime,\n combineLatest,\n debounceTime,\n defer,\n delay,\n filter,\n finalize,\n fromEvent,\n map,\n merge,\n switchMap,\n take,\n takeLast,\n takeUntil,\n tap,\n throttleTime,\n withLatestFrom\n} from \"rxjs\"\n\nimport {\n ElementOffset,\n getActiveElement,\n getElementSize,\n watchElementContentOffset,\n watchElementFocus,\n watchElementOffset,\n watchElementVisibility\n} from \"~/browser\"\n\nimport { Component } from \"../../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Annotation\n */\nexport interface Annotation {\n active: boolean /* Annotation is active */\n offset: ElementOffset /* Annotation offset */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n target$: Observable /* Location target observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch annotation\n *\n * @param el - Annotation element\n * @param container - Containing element\n *\n * @returns Annotation observable\n */\nexport function watchAnnotation(\n el: HTMLElement, container: HTMLElement\n): Observable {\n const offset$ = defer(() => combineLatest([\n watchElementOffset(el),\n watchElementContentOffset(container)\n ]))\n .pipe(\n map(([{ x, y }, scroll]): ElementOffset => {\n const { width, height } = getElementSize(el)\n return ({\n x: x - scroll.x + width / 2,\n y: y - scroll.y + height / 2\n })\n })\n )\n\n /* Actively watch annotation on focus */\n return watchElementFocus(el)\n .pipe(\n switchMap(active => offset$\n .pipe(\n map(offset => ({ active, offset })),\n take(+!active || Infinity)\n )\n )\n )\n}\n\n/**\n * Mount annotation\n *\n * @param el - Annotation element\n * @param container - Containing element\n * @param options - Options\n *\n * @returns Annotation component observable\n */\nexport function mountAnnotation(\n el: HTMLElement, container: HTMLElement, { target$ }: MountOptions\n): Observable> {\n const [tooltip, index] = Array.from(el.children)\n\n /* Mount component on subscription */\n return defer(() => {\n const push$ = new Subject()\n const done$ = push$.pipe(takeLast(1))\n push$.subscribe({\n\n /* Handle emission */\n next({ offset }) {\n el.style.setProperty(\"--md-tooltip-x\", `${offset.x}px`)\n el.style.setProperty(\"--md-tooltip-y\", `${offset.y}px`)\n },\n\n /* Handle complete */\n complete() {\n el.style.removeProperty(\"--md-tooltip-x\")\n el.style.removeProperty(\"--md-tooltip-y\")\n }\n })\n\n /* Start animation only when annotation is visible */\n watchElementVisibility(el)\n .pipe(\n takeUntil(done$)\n )\n .subscribe(visible => {\n el.toggleAttribute(\"data-md-visible\", visible)\n })\n\n /* Toggle tooltip presence to mitigate empty lines when copying */\n merge(\n push$.pipe(filter(({ active }) => active)),\n push$.pipe(debounceTime(250), filter(({ active }) => !active))\n )\n .subscribe({\n\n /* Handle emission */\n next({ active }) {\n if (active)\n el.prepend(tooltip)\n else\n tooltip.remove()\n },\n\n /* Handle complete */\n complete() {\n el.prepend(tooltip)\n }\n })\n\n /* Toggle tooltip visibility */\n push$\n .pipe(\n auditTime(16, animationFrameScheduler)\n )\n .subscribe(({ active }) => {\n tooltip.classList.toggle(\"md-tooltip--active\", active)\n })\n\n /* Track relative origin of tooltip */\n push$\n .pipe(\n throttleTime(125, animationFrameScheduler),\n filter(() => !!el.offsetParent),\n map(() => el.offsetParent!.getBoundingClientRect()),\n map(({ x }) => x)\n )\n .subscribe({\n\n /* Handle emission */\n next(origin) {\n if (origin)\n el.style.setProperty(\"--md-tooltip-0\", `${-origin}px`)\n else\n el.style.removeProperty(\"--md-tooltip-0\")\n },\n\n /* Handle complete */\n complete() {\n el.style.removeProperty(\"--md-tooltip-0\")\n }\n })\n\n /* Allow to copy link without scrolling to anchor */\n fromEvent(index, \"click\")\n .pipe(\n takeUntil(done$),\n filter(ev => !(ev.metaKey || ev.ctrlKey))\n )\n .subscribe(ev => ev.preventDefault())\n\n /* Allow to open link in new tab or blur on close */\n fromEvent(index, \"mousedown\")\n .pipe(\n takeUntil(done$),\n withLatestFrom(push$)\n )\n .subscribe(([ev, { active }]) => {\n\n /* Open in new tab */\n if (ev.button !== 0 || ev.metaKey || ev.ctrlKey) {\n ev.preventDefault()\n\n /* Close annotation */\n } else if (active) {\n ev.preventDefault()\n\n /* Focus parent annotation, if any */\n const parent = el.parentElement!.closest(\".md-annotation\")\n if (parent instanceof HTMLElement)\n parent.focus()\n else\n getActiveElement()?.blur()\n }\n })\n\n /* Open and focus annotation on location target */\n target$\n .pipe(\n takeUntil(done$),\n filter(target => target === tooltip),\n delay(125)\n )\n .subscribe(() => el.focus())\n\n /* Create and return component */\n return watchAnnotation(el, container)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Observable,\n Subject,\n defer,\n finalize,\n merge,\n share,\n takeLast,\n takeUntil\n} from \"rxjs\"\n\nimport {\n getElement,\n getElements,\n getOptionalElement\n} from \"~/browser\"\nimport { renderAnnotation } from \"~/templates\"\n\nimport { Component } from \"../../../_\"\nimport {\n Annotation,\n mountAnnotation\n} from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n target$: Observable /* Location target observable */\n print$: Observable /* Media print observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Find all annotation markers in the given code block\n *\n * @param container - Containing element\n *\n * @returns Annotation markers\n */\nfunction findAnnotationMarkers(container: HTMLElement): Text[] {\n const markers: Text[] = []\n for (const el of getElements(\".c, .c1, .cm\", container)) {\n const nodes: Text[] = []\n\n /* Find all text nodes in current element */\n const it = document.createNodeIterator(el, NodeFilter.SHOW_TEXT)\n for (let node = it.nextNode(); node; node = it.nextNode())\n nodes.push(node as Text)\n\n /* Find all markers in each text node */\n for (let text of nodes) {\n let match: RegExpExecArray | null\n\n /* Split text at marker and add to list */\n while ((match = /(\\(\\d+\\))(!)?/.exec(text.textContent!))) {\n const [, id, force] = match\n if (typeof force === \"undefined\") {\n const marker = text.splitText(match.index)\n text = marker.splitText(id.length)\n markers.push(marker)\n\n /* Replace entire text with marker */\n } else {\n text.textContent = id\n markers.push(text)\n break\n }\n }\n }\n }\n return markers\n}\n\n/**\n * Swap the child nodes of two elements\n *\n * @param source - Source element\n * @param target - Target element\n */\nfunction swap(source: HTMLElement, target: HTMLElement): void {\n target.append(...Array.from(source.childNodes))\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount annotation list\n *\n * This function analyzes the containing code block and checks for markers\n * referring to elements in the given annotation list. If no markers are found,\n * the list is left untouched. Otherwise, list elements are rendered as\n * annotations inside the code block.\n *\n * @param el - Annotation list element\n * @param container - Containing element\n * @param options - Options\n *\n * @returns Annotation component observable\n */\nexport function mountAnnotationList(\n el: HTMLElement, container: HTMLElement, { target$, print$ }: MountOptions\n): Observable> {\n\n /* Compute prefix for tooltip anchors */\n const parent = container.closest(\"[id]\")\n const prefix = parent?.id\n\n /* Find and replace all markers with empty annotations */\n const annotations = new Map()\n for (const marker of findAnnotationMarkers(container)) {\n const [, id] = marker.textContent!.match(/\\((\\d+)\\)/)!\n if (getOptionalElement(`li:nth-child(${id})`, el)) {\n annotations.set(id, renderAnnotation(id, prefix))\n marker.replaceWith(annotations.get(id)!)\n }\n }\n\n /* Keep list if there are no annotations to render */\n if (annotations.size === 0)\n return EMPTY\n\n /* Mount component on subscription */\n return defer(() => {\n const done$ = new Subject()\n\n /* Retrieve container pairs for swapping */\n const pairs: [HTMLElement, HTMLElement][] = []\n for (const [id, annotation] of annotations)\n pairs.push([\n getElement(\".md-typeset\", annotation),\n getElement(`li:nth-child(${id})`, el)\n ])\n\n /* Handle print mode - see https://bit.ly/3rgPdpt */\n print$\n .pipe(\n takeUntil(done$.pipe(takeLast(1)))\n )\n .subscribe(active => {\n el.hidden = !active\n\n /* Show annotations in code block or list (print) */\n for (const [inner, child] of pairs)\n if (!active)\n swap(child, inner)\n else\n swap(inner, child)\n })\n\n /* Create and return component */\n return merge(...[...annotations]\n .map(([, annotation]) => (\n mountAnnotation(annotation, container, { target$ })\n ))\n )\n .pipe(\n finalize(() => done$.complete()),\n share()\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n map,\n of,\n shareReplay,\n tap\n} from \"rxjs\"\n\nimport { watchScript } from \"~/browser\"\nimport { h } from \"~/utilities\"\n\nimport { Component } from \"../../../_\"\n\nimport themeCSS from \"./index.css\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mermaid diagram\n */\nexport interface Mermaid {}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Mermaid instance observable\n */\nlet mermaid$: Observable\n\n/**\n * Global sequence number for diagrams\n */\nlet sequence = 0\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch Mermaid script\n *\n * @returns Mermaid scripts observable\n */\nfunction fetchScripts(): Observable {\n return typeof mermaid === \"undefined\" || mermaid instanceof Element\n ? watchScript(\"https://unpkg.com/mermaid@9.1.7/dist/mermaid.min.js\")\n : of(undefined)\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount Mermaid diagram\n *\n * @param el - Code block element\n *\n * @returns Mermaid diagram component observable\n */\nexport function mountMermaid(\n el: HTMLElement\n): Observable> {\n el.classList.remove(\"mermaid\") // Hack: mitigate https://bit.ly/3CiN6Du\n mermaid$ ||= fetchScripts()\n .pipe(\n tap(() => mermaid.initialize({\n startOnLoad: false,\n themeCSS,\n sequence: {\n actorFontSize: \"16px\", // Hack: mitigate https://bit.ly/3y0NEi3\n messageFontSize: \"16px\",\n noteFontSize: \"16px\"\n }\n })),\n map(() => undefined),\n shareReplay(1)\n )\n\n /* Render diagram */\n mermaid$.subscribe(() => {\n el.classList.add(\"mermaid\") // Hack: mitigate https://bit.ly/3CiN6Du\n const id = `__mermaid_${sequence++}`\n const host = h(\"div\", { class: \"mermaid\" })\n mermaid.mermaidAPI.render(id, el.textContent, (svg: string) => {\n\n /* Create a shadow root and inject diagram */\n const shadow = host.attachShadow({ mode: \"closed\" })\n shadow.innerHTML = svg\n\n /* Replace code block with diagram */\n el.replaceWith(host)\n })\n })\n\n /* Create and return component */\n return mermaid$\n .pipe(\n map(() => ({ ref: el }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n defer,\n filter,\n finalize,\n map,\n merge,\n tap\n} from \"rxjs\"\n\nimport { Component } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Details\n */\nexport interface Details {\n action: \"open\" | \"close\" /* Details state */\n reveal?: boolean /* Details is revealed */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n target$: Observable /* Location target observable */\n print$: Observable /* Media print observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n target$: Observable /* Location target observable */\n print$: Observable /* Media print observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch details\n *\n * @param el - Details element\n * @param options - Options\n *\n * @returns Details observable\n */\nexport function watchDetails(\n el: HTMLDetailsElement, { target$, print$ }: WatchOptions\n): Observable
    {\n let open = true\n return merge(\n\n /* Open and focus details on location target */\n target$\n .pipe(\n map(target => target.closest(\"details:not([open])\")!),\n filter(details => el === details),\n map(() => ({\n action: \"open\", reveal: true\n }) as Details)\n ),\n\n /* Open details on print and close afterwards */\n print$\n .pipe(\n filter(active => active || !open),\n tap(() => open = el.open),\n map(active => ({\n action: active ? \"open\" : \"close\"\n }) as Details)\n )\n )\n}\n\n/**\n * Mount details\n *\n * This function ensures that `details` tags are opened on anchor jumps and\n * prior to printing, so the whole content of the page is visible.\n *\n * @param el - Details element\n * @param options - Options\n *\n * @returns Details component observable\n */\nexport function mountDetails(\n el: HTMLDetailsElement, options: MountOptions\n): Observable> {\n return defer(() => {\n const push$ = new Subject
    ()\n push$.subscribe(({ action, reveal }) => {\n el.toggleAttribute(\"open\", action === \"open\")\n if (reveal)\n el.scrollIntoView()\n })\n\n /* Create and return component */\n return watchDetails(el, options)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { Observable, of } from \"rxjs\"\n\nimport { renderTable } from \"~/templates\"\nimport { h } from \"~/utilities\"\n\nimport { Component } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Data table\n */\nexport interface DataTable {}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Sentinel for replacement\n */\nconst sentinel = h(\"table\")\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount data table\n *\n * This function wraps a data table in another scrollable container, so it can\n * be smoothly scrolled on smaller screen sizes and won't break the layout.\n *\n * @param el - Data table element\n *\n * @returns Data table component observable\n */\nexport function mountDataTable(\n el: HTMLElement\n): Observable> {\n el.replaceWith(sentinel)\n sentinel.replaceWith(renderTable(el))\n\n /* Create and return component */\n return of({ ref: el })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n animationFrameScheduler,\n asyncScheduler,\n auditTime,\n combineLatest,\n defer,\n finalize,\n fromEvent,\n map,\n merge,\n skip,\n startWith,\n subscribeOn,\n takeLast,\n takeUntil,\n tap,\n withLatestFrom\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n Viewport,\n getElement,\n getElementContentOffset,\n getElementContentSize,\n getElementOffset,\n getElementSize,\n getElements,\n watchElementContentOffset,\n watchElementSize\n} from \"~/browser\"\nimport { renderTabbedControl } from \"~/templates\"\n\nimport { Component } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Content tabs\n */\nexport interface ContentTabs {\n active: HTMLLabelElement /* Active tab label */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n viewport$: Observable /* Viewport observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch content tabs\n *\n * @param el - Content tabs element\n *\n * @returns Content tabs observable\n */\nexport function watchContentTabs(\n el: HTMLElement\n): Observable {\n const inputs = getElements(\":scope > input\", el)\n const initial = inputs.find(input => input.checked) || inputs[0]\n return merge(...inputs.map(input => fromEvent(input, \"change\")\n .pipe(\n map(() => getElement(`label[for=\"${input.id}\"]`))\n )\n ))\n .pipe(\n startWith(getElement(`label[for=\"${initial.id}\"]`)),\n map(active => ({ active }))\n )\n}\n\n/**\n * Mount content tabs\n *\n * This function scrolls the active tab into view. While this functionality is\n * provided by browsers as part of `scrollInfoView`, browsers will always also\n * scroll the vertical axis, which we do not want. Thus, we decided to provide\n * this functionality ourselves.\n *\n * @param el - Content tabs element\n * @param options - Options\n *\n * @returns Content tabs component observable\n */\nexport function mountContentTabs(\n el: HTMLElement, { viewport$ }: MountOptions\n): Observable> {\n\n /* Render content tab previous button for pagination */\n const prev = renderTabbedControl(\"prev\")\n el.append(prev)\n\n /* Render content tab next button for pagination */\n const next = renderTabbedControl(\"next\")\n el.append(next)\n\n /* Mount component on subscription */\n const container = getElement(\".tabbed-labels\", el)\n return defer(() => {\n const push$ = new Subject()\n const done$ = push$.pipe(takeLast(1))\n combineLatest([push$, watchElementSize(el)])\n .pipe(\n auditTime(1, animationFrameScheduler),\n takeUntil(done$)\n )\n .subscribe({\n\n /* Handle emission */\n next([{ active }, size]) {\n const offset = getElementOffset(active)\n const { width } = getElementSize(active)\n\n /* Set tab indicator offset and width */\n el.style.setProperty(\"--md-indicator-x\", `${offset.x}px`)\n el.style.setProperty(\"--md-indicator-width\", `${width}px`)\n\n /* Scroll container to active content tab */\n const content = getElementContentOffset(container)\n if (\n offset.x < content.x ||\n offset.x + width > content.x + size.width\n )\n container.scrollTo({\n left: Math.max(0, offset.x - 16),\n behavior: \"smooth\"\n })\n },\n\n /* Handle complete */\n complete() {\n el.style.removeProperty(\"--md-indicator-x\")\n el.style.removeProperty(\"--md-indicator-width\")\n }\n })\n\n /* Hide content tab buttons on borders */\n combineLatest([\n watchElementContentOffset(container),\n watchElementSize(container)\n ])\n .pipe(\n takeUntil(done$)\n )\n .subscribe(([offset, size]) => {\n const content = getElementContentSize(container)\n prev.hidden = offset.x < 16\n next.hidden = offset.x > content.width - size.width - 16\n })\n\n /* Paginate content tab container on click */\n merge(\n fromEvent(prev, \"click\").pipe(map(() => -1)),\n fromEvent(next, \"click\").pipe(map(() => +1))\n )\n .pipe(\n takeUntil(done$)\n )\n .subscribe(direction => {\n const { width } = getElementSize(container)\n container.scrollBy({\n left: width * direction,\n behavior: \"smooth\"\n })\n })\n\n /* Set up linking of content tabs, if enabled */\n if (feature(\"content.tabs.link\"))\n push$.pipe(\n skip(1),\n withLatestFrom(viewport$)\n )\n .subscribe(([{ active }, { offset }]) => {\n const tab = active.innerText.trim()\n if (active.hasAttribute(\"data-md-switching\")) {\n active.removeAttribute(\"data-md-switching\")\n\n /* Determine viewport offset of active tab */\n } else {\n const y = el.offsetTop - offset.y\n\n /* Passively activate other tabs */\n for (const set of getElements(\"[data-tabs]\"))\n for (const input of getElements(\n \":scope > input\", set\n )) {\n const label = getElement(`label[for=\"${input.id}\"]`)\n if (\n label !== active &&\n label.innerText.trim() === tab\n ) {\n label.setAttribute(\"data-md-switching\", \"\")\n input.click()\n break\n }\n }\n\n /* Bring active tab into view */\n window.scrollTo({\n top: el.offsetTop - y\n })\n\n /* Persist active tabs in local storage */\n const tabs = __md_get(\"__tabs\") || []\n __md_set(\"__tabs\", [...new Set([tab, ...tabs])])\n }\n })\n\n /* Create and return component */\n return watchContentTabs(el)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n .pipe(\n subscribeOn(asyncScheduler)\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { Observable, merge } from \"rxjs\"\n\nimport { Viewport, getElements } from \"~/browser\"\n\nimport { Component } from \"../../_\"\nimport { Annotation } from \"../annotation\"\nimport {\n CodeBlock,\n Mermaid,\n mountCodeBlock,\n mountMermaid\n} from \"../code\"\nimport {\n Details,\n mountDetails\n} from \"../details\"\nimport {\n DataTable,\n mountDataTable\n} from \"../table\"\nimport {\n ContentTabs,\n mountContentTabs\n} from \"../tabs\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Content\n */\nexport type Content =\n | Annotation\n | ContentTabs\n | CodeBlock\n | Mermaid\n | DataTable\n | Details\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n viewport$: Observable /* Viewport observable */\n target$: Observable /* Location target observable */\n print$: Observable /* Media print observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount content\n *\n * This function mounts all components that are found in the content of the\n * actual article, including code blocks, data tables and details.\n *\n * @param el - Content element\n * @param options - Options\n *\n * @returns Content component observable\n */\nexport function mountContent(\n el: HTMLElement, { viewport$, target$, print$ }: MountOptions\n): Observable> {\n return merge(\n\n /* Code blocks */\n ...getElements(\"pre:not(.mermaid) > code\", el)\n .map(child => mountCodeBlock(child, { target$, print$ })),\n\n /* Mermaid diagrams */\n ...getElements(\"pre.mermaid\", el)\n .map(child => mountMermaid(child)),\n\n /* Data tables */\n ...getElements(\"table:not([class])\", el)\n .map(child => mountDataTable(child)),\n\n /* Details */\n ...getElements(\"details\", el)\n .map(child => mountDetails(child, { target$, print$ })),\n\n /* Content tabs */\n ...getElements(\"[data-tabs]\", el)\n .map(child => mountContentTabs(child, { viewport$ }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n defer,\n delay,\n finalize,\n map,\n merge,\n of,\n switchMap,\n tap\n} from \"rxjs\"\n\nimport { getElement } from \"~/browser\"\n\nimport { Component } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Dialog\n */\nexport interface Dialog {\n message: string /* Dialog message */\n active: boolean /* Dialog is active */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n alert$: Subject /* Alert subject */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n alert$: Subject /* Alert subject */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch dialog\n *\n * @param _el - Dialog element\n * @param options - Options\n *\n * @returns Dialog observable\n */\nexport function watchDialog(\n _el: HTMLElement, { alert$ }: WatchOptions\n): Observable {\n return alert$\n .pipe(\n switchMap(message => merge(\n of(true),\n of(false).pipe(delay(2000))\n )\n .pipe(\n map(active => ({ message, active }))\n )\n )\n )\n}\n\n/**\n * Mount dialog\n *\n * This function reveals the dialog in the right corner when a new alert is\n * emitted through the subject that is passed as part of the options.\n *\n * @param el - Dialog element\n * @param options - Options\n *\n * @returns Dialog component observable\n */\nexport function mountDialog(\n el: HTMLElement, options: MountOptions\n): Observable> {\n const inner = getElement(\".md-typeset\", el)\n return defer(() => {\n const push$ = new Subject()\n push$.subscribe(({ message, active }) => {\n el.classList.toggle(\"md-dialog--active\", active)\n inner.textContent = message\n })\n\n /* Create and return component */\n return watchDialog(el, options)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n bufferCount,\n combineLatest,\n combineLatestWith,\n defer,\n distinctUntilChanged,\n distinctUntilKeyChanged,\n filter,\n map,\n of,\n shareReplay,\n startWith,\n switchMap,\n takeLast,\n takeUntil\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n Viewport,\n watchElementSize,\n watchToggle\n} from \"~/browser\"\n\nimport { Component } from \"../../_\"\nimport { Main } from \"../../main\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Header\n */\nexport interface Header {\n height: number /* Header visible height */\n hidden: boolean /* Header is hidden */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n main$: Observable
    /* Main area observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Compute whether the header is hidden\n *\n * If the user scrolls past a certain threshold, the header can be hidden when\n * scrolling down, and shown when scrolling up.\n *\n * @param options - Options\n *\n * @returns Toggle observable\n */\nfunction isHidden({ viewport$ }: WatchOptions): Observable {\n if (!feature(\"header.autohide\"))\n return of(false)\n\n /* Compute direction and turning point */\n const direction$ = viewport$\n .pipe(\n map(({ offset: { y } }) => y),\n bufferCount(2, 1),\n map(([a, b]) => [a < b, b] as const),\n distinctUntilKeyChanged(0)\n )\n\n /* Compute whether header should be hidden */\n const hidden$ = combineLatest([viewport$, direction$])\n .pipe(\n filter(([{ offset }, [, y]]) => Math.abs(y - offset.y) > 100),\n map(([, [direction]]) => direction),\n distinctUntilChanged()\n )\n\n /* Compute threshold for hiding */\n const search$ = watchToggle(\"search\")\n return combineLatest([viewport$, search$])\n .pipe(\n map(([{ offset }, search]) => offset.y > 400 && !search),\n distinctUntilChanged(),\n switchMap(active => active ? hidden$ : of(false)),\n startWith(false)\n )\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch header\n *\n * @param el - Header element\n * @param options - Options\n *\n * @returns Header observable\n */\nexport function watchHeader(\n el: HTMLElement, options: WatchOptions\n): Observable
    {\n return defer(() => combineLatest([\n watchElementSize(el),\n isHidden(options)\n ]))\n .pipe(\n map(([{ height }, hidden]) => ({\n height,\n hidden\n })),\n distinctUntilChanged((a, b) => (\n a.height === b.height &&\n a.hidden === b.hidden\n )),\n shareReplay(1)\n )\n}\n\n/**\n * Mount header\n *\n * This function manages the different states of the header, i.e. whether it's\n * hidden or rendered with a shadow. This depends heavily on the main area.\n *\n * @param el - Header element\n * @param options - Options\n *\n * @returns Header component observable\n */\nexport function mountHeader(\n el: HTMLElement, { header$, main$ }: MountOptions\n): Observable> {\n return defer(() => {\n const push$ = new Subject
    ()\n const done$ = push$.pipe(takeLast(1))\n push$\n .pipe(\n distinctUntilKeyChanged(\"active\"),\n combineLatestWith(header$)\n )\n .subscribe(([{ active }, { hidden }]) => {\n el.classList.toggle(\"md-header--shadow\", active && !hidden)\n el.hidden = hidden\n })\n\n /* Link to main area */\n main$.subscribe(push$)\n\n /* Create and return component */\n return header$\n .pipe(\n takeUntil(done$),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Observable,\n Subject,\n defer,\n distinctUntilKeyChanged,\n finalize,\n map,\n tap\n} from \"rxjs\"\n\nimport {\n Viewport,\n getElementSize,\n getOptionalElement,\n watchViewportAt\n} from \"~/browser\"\n\nimport { Component } from \"../../_\"\nimport { Header } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Header\n */\nexport interface HeaderTitle {\n active: boolean /* Header title is active */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch header title\n *\n * @param el - Heading element\n * @param options - Options\n *\n * @returns Header title observable\n */\nexport function watchHeaderTitle(\n el: HTMLElement, { viewport$, header$ }: WatchOptions\n): Observable {\n return watchViewportAt(el, { viewport$, header$ })\n .pipe(\n map(({ offset: { y } }) => {\n const { height } = getElementSize(el)\n return {\n active: y >= height\n }\n }),\n distinctUntilKeyChanged(\"active\")\n )\n}\n\n/**\n * Mount header title\n *\n * This function swaps the header title from the site title to the title of the\n * current page when the user scrolls past the first headline.\n *\n * @param el - Header title element\n * @param options - Options\n *\n * @returns Header title component observable\n */\nexport function mountHeaderTitle(\n el: HTMLElement, options: MountOptions\n): Observable> {\n return defer(() => {\n const push$ = new Subject()\n push$.subscribe(({ active }) => {\n el.classList.toggle(\"md-header__title--active\", active)\n })\n\n /* Obtain headline, if any */\n const heading = getOptionalElement(\"article h1\")\n if (typeof heading === \"undefined\")\n return EMPTY\n\n /* Create and return component */\n return watchHeaderTitle(heading, options)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n combineLatest,\n distinctUntilChanged,\n distinctUntilKeyChanged,\n map,\n switchMap\n} from \"rxjs\"\n\nimport {\n Viewport,\n watchElementSize\n} from \"~/browser\"\n\nimport { Header } from \"../header\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Main area\n */\nexport interface Main {\n offset: number /* Main area top offset */\n height: number /* Main area visible height */\n active: boolean /* Main area is active */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch main area\n *\n * This function returns an observable that computes the visual parameters of\n * the main area which depends on the viewport vertical offset and height, as\n * well as the height of the header element, if the header is fixed.\n *\n * @param el - Main area element\n * @param options - Options\n *\n * @returns Main area observable\n */\nexport function watchMain(\n el: HTMLElement, { viewport$, header$ }: WatchOptions\n): Observable
    {\n\n /* Compute necessary adjustment for header */\n const adjust$ = header$\n .pipe(\n map(({ height }) => height),\n distinctUntilChanged()\n )\n\n /* Compute the main area's top and bottom borders */\n const border$ = adjust$\n .pipe(\n switchMap(() => watchElementSize(el)\n .pipe(\n map(({ height }) => ({\n top: el.offsetTop,\n bottom: el.offsetTop + height\n })),\n distinctUntilKeyChanged(\"bottom\")\n )\n )\n )\n\n /* Compute the main area's offset, visible height and if we scrolled past */\n return combineLatest([adjust$, border$, viewport$])\n .pipe(\n map(([header, { top, bottom }, { offset: { y }, size: { height } }]) => {\n height = Math.max(0, height\n - Math.max(0, top - y, header)\n - Math.max(0, height + y - bottom)\n )\n return {\n offset: top - header,\n height,\n active: top - header <= y\n }\n }),\n distinctUntilChanged((a, b) => (\n a.offset === b.offset &&\n a.height === b.height &&\n a.active === b.active\n ))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n asyncScheduler,\n defer,\n finalize,\n fromEvent,\n map,\n mergeMap,\n observeOn,\n of,\n shareReplay,\n startWith,\n tap\n} from \"rxjs\"\n\nimport { getElements } from \"~/browser\"\n\nimport { Component } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Palette colors\n */\nexport interface PaletteColor {\n scheme?: string /* Color scheme */\n primary?: string /* Primary color */\n accent?: string /* Accent color */\n}\n\n/**\n * Palette\n */\nexport interface Palette {\n index: number /* Palette index */\n color: PaletteColor /* Palette colors */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch color palette\n *\n * @param inputs - Color palette element\n *\n * @returns Color palette observable\n */\nexport function watchPalette(\n inputs: HTMLInputElement[]\n): Observable {\n const current = __md_get(\"__palette\") || {\n index: inputs.findIndex(input => matchMedia(\n input.getAttribute(\"data-md-color-media\")!\n ).matches)\n }\n\n /* Emit changes in color palette */\n return of(...inputs)\n .pipe(\n mergeMap(input => fromEvent(input, \"change\")\n .pipe(\n map(() => input)\n )\n ),\n startWith(inputs[Math.max(0, current.index)]),\n map(input => ({\n index: inputs.indexOf(input),\n color: {\n scheme: input.getAttribute(\"data-md-color-scheme\"),\n primary: input.getAttribute(\"data-md-color-primary\"),\n accent: input.getAttribute(\"data-md-color-accent\")\n }\n } as Palette)),\n shareReplay(1)\n )\n}\n\n/**\n * Mount color palette\n *\n * @param el - Color palette element\n *\n * @returns Color palette component observable\n */\nexport function mountPalette(\n el: HTMLElement\n): Observable> {\n return defer(() => {\n const push$ = new Subject()\n push$.subscribe(palette => {\n document.body.setAttribute(\"data-md-color-switching\", \"\")\n\n /* Set color palette */\n for (const [key, value] of Object.entries(palette.color))\n document.body.setAttribute(`data-md-color-${key}`, value)\n\n /* Toggle visibility */\n for (let index = 0; index < inputs.length; index++) {\n const label = inputs[index].nextElementSibling\n if (label instanceof HTMLElement)\n label.hidden = palette.index !== index\n }\n\n /* Persist preference in local storage */\n __md_set(\"__palette\", palette)\n })\n\n /* Revert transition durations after color switch */\n push$.pipe(observeOn(asyncScheduler))\n .subscribe(() => {\n document.body.removeAttribute(\"data-md-color-switching\")\n })\n\n /* Create and return component */\n const inputs = getElements(\"input\", el)\n return watchPalette(inputs)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport ClipboardJS from \"clipboard\"\nimport {\n Observable,\n Subject,\n map,\n tap\n} from \"rxjs\"\n\nimport { translation } from \"~/_\"\nimport { getElement } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Setup options\n */\ninterface SetupOptions {\n alert$: Subject /* Alert subject */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Extract text to copy\n *\n * @param el - HTML element\n *\n * @returns Extracted text\n */\nfunction extract(el: HTMLElement): string {\n el.setAttribute(\"data-md-copying\", \"\")\n const text = el.innerText\n el.removeAttribute(\"data-md-copying\")\n return text\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Set up Clipboard.js integration\n *\n * @param options - Options\n */\nexport function setupClipboardJS(\n { alert$ }: SetupOptions\n): void {\n if (ClipboardJS.isSupported()) {\n new Observable(subscriber => {\n new ClipboardJS(\"[data-clipboard-target], [data-clipboard-text]\", {\n text: el => (\n el.getAttribute(\"data-clipboard-text\")! ||\n extract(getElement(\n el.getAttribute(\"data-clipboard-target\")!\n ))\n )\n })\n .on(\"success\", ev => subscriber.next(ev))\n })\n .pipe(\n tap(ev => {\n const trigger = ev.trigger as HTMLElement\n trigger.focus()\n }),\n map(() => translation(\"clipboard.copied\"))\n )\n .subscribe(alert$)\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Observable,\n catchError,\n defaultIfEmpty,\n map,\n of,\n tap\n} from \"rxjs\"\n\nimport { configuration } from \"~/_\"\nimport { getElements, requestXML } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Sitemap, i.e. a list of URLs\n */\nexport type Sitemap = string[]\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Preprocess a list of URLs\n *\n * This function replaces the `site_url` in the sitemap with the actual base\n * URL, to allow instant loading to work in occasions like Netlify previews.\n *\n * @param urls - URLs\n *\n * @returns URL path parts\n */\nfunction preprocess(urls: Sitemap): Sitemap {\n if (urls.length < 2)\n return [\"\"]\n\n /* Take the first two URLs and remove everything after the last slash */\n const [root, next] = [...urls]\n .sort((a, b) => a.length - b.length)\n .map(url => url.replace(/[^/]+$/, \"\"))\n\n /* Compute common prefix */\n let index = 0\n if (root === next)\n index = root.length\n else\n while (root.charCodeAt(index) === next.charCodeAt(index))\n index++\n\n /* Remove common prefix and return in original order */\n return urls.map(url => url.replace(root.slice(0, index), \"\"))\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch the sitemap for the given base URL\n *\n * @param base - Base URL\n *\n * @returns Sitemap observable\n */\nexport function fetchSitemap(base?: URL): Observable {\n const cached = __md_get(\"__sitemap\", sessionStorage, base)\n if (cached) {\n return of(cached)\n } else {\n const config = configuration()\n return requestXML(new URL(\"sitemap.xml\", base || config.base))\n .pipe(\n map(sitemap => preprocess(getElements(\"loc\", sitemap)\n .map(node => node.textContent!)\n )),\n catchError(() => EMPTY), // @todo refactor instant loading\n defaultIfEmpty([]),\n tap(sitemap => __md_set(\"__sitemap\", sitemap, sessionStorage, base))\n )\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n NEVER,\n Observable,\n Subject,\n bufferCount,\n catchError,\n concatMap,\n debounceTime,\n distinctUntilChanged,\n distinctUntilKeyChanged,\n filter,\n fromEvent,\n map,\n merge,\n of,\n sample,\n share,\n skip,\n skipUntil,\n switchMap\n} from \"rxjs\"\n\nimport { configuration, feature } from \"~/_\"\nimport {\n Viewport,\n ViewportOffset,\n getElements,\n getOptionalElement,\n request,\n setLocation,\n setLocationHash\n} from \"~/browser\"\nimport { getComponentElement } from \"~/components\"\nimport { h } from \"~/utilities\"\n\nimport { fetchSitemap } from \"../sitemap\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * History state\n */\nexport interface HistoryState {\n url: URL /* State URL */\n offset?: ViewportOffset /* State viewport offset */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Setup options\n */\ninterface SetupOptions {\n document$: Subject /* Document subject */\n location$: Subject /* Location subject */\n viewport$: Observable /* Viewport observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Set up instant loading\n *\n * When fetching, theoretically, we could use `responseType: \"document\"`, but\n * since all MkDocs links are relative, we need to make sure that the current\n * location matches the document we just loaded. Otherwise any relative links\n * in the document could use the old location.\n *\n * This is the reason why we need to synchronize history events and the process\n * of fetching the document for navigation changes (except `popstate` events):\n *\n * 1. Fetch document via `XMLHTTPRequest`\n * 2. Set new location via `history.pushState`\n * 3. Parse and emit fetched document\n *\n * For `popstate` events, we must not use `history.pushState`, or the forward\n * history will be irreversibly overwritten. In case the request fails, the\n * location change is dispatched regularly.\n *\n * @param options - Options\n */\nexport function setupInstantLoading(\n { document$, location$, viewport$ }: SetupOptions\n): void {\n const config = configuration()\n if (location.protocol === \"file:\")\n return\n\n /* Disable automatic scroll restoration */\n if (\"scrollRestoration\" in history) {\n history.scrollRestoration = \"manual\"\n\n /* Hack: ensure that reloads restore viewport offset */\n fromEvent(window, \"beforeunload\")\n .subscribe(() => {\n history.scrollRestoration = \"auto\"\n })\n }\n\n /* Hack: ensure absolute favicon link to omit 404s when switching */\n const favicon = getOptionalElement(\"link[rel=icon]\")\n if (typeof favicon !== \"undefined\")\n favicon.href = favicon.href\n\n /* Intercept internal navigation */\n const push$ = fetchSitemap()\n .pipe(\n map(paths => paths.map(path => `${new URL(path, config.base)}`)),\n switchMap(urls => fromEvent(document.body, \"click\")\n .pipe(\n filter(ev => !ev.metaKey && !ev.ctrlKey),\n switchMap(ev => {\n if (ev.target instanceof Element) {\n const el = ev.target.closest(\"a\")\n if (el && !el.target) {\n const url = new URL(el.href)\n\n /* Canonicalize URL */\n url.search = \"\"\n url.hash = \"\"\n\n /* Check if URL should be intercepted */\n if (\n url.pathname !== location.pathname &&\n urls.includes(url.toString())\n ) {\n ev.preventDefault()\n return of({\n url: new URL(el.href)\n })\n }\n }\n }\n return NEVER\n })\n )\n ),\n share()\n )\n\n /* Intercept history back and forward */\n const pop$ = fromEvent(window, \"popstate\")\n .pipe(\n filter(ev => ev.state !== null),\n map(ev => ({\n url: new URL(location.href),\n offset: ev.state\n })),\n share()\n )\n\n /* Emit location change */\n merge(push$, pop$)\n .pipe(\n distinctUntilChanged((a, b) => a.url.href === b.url.href),\n map(({ url }) => url)\n )\n .subscribe(location$)\n\n /* Fetch document via `XMLHTTPRequest` */\n const response$ = location$\n .pipe(\n distinctUntilKeyChanged(\"pathname\"),\n switchMap(url => request(url.href)\n .pipe(\n catchError(() => {\n setLocation(url)\n return NEVER\n })\n )\n ),\n share()\n )\n\n /* Set new location via `history.pushState` */\n push$\n .pipe(\n sample(response$)\n )\n .subscribe(({ url }) => {\n history.pushState({}, \"\", `${url}`)\n })\n\n /* Parse and emit fetched document */\n const dom = new DOMParser()\n response$\n .pipe(\n switchMap(res => res.text()),\n map(res => dom.parseFromString(res, \"text/html\"))\n )\n .subscribe(document$)\n\n /* Replace meta tags and components */\n document$\n .pipe(\n skip(1)\n )\n .subscribe(replacement => {\n for (const selector of [\n\n /* Meta tags */\n \"title\",\n \"link[rel=canonical]\",\n \"meta[name=author]\",\n \"meta[name=description]\",\n\n /* Components */\n \"[data-md-component=announce]\",\n \"[data-md-component=container]\",\n \"[data-md-component=header-topic]\",\n \"[data-md-component=outdated]\",\n \"[data-md-component=logo]\",\n \"[data-md-component=skip]\",\n ...feature(\"navigation.tabs.sticky\")\n ? [\"[data-md-component=tabs]\"]\n : []\n ]) {\n const source = getOptionalElement(selector)\n const target = getOptionalElement(selector, replacement)\n if (\n typeof source !== \"undefined\" &&\n typeof target !== \"undefined\"\n ) {\n source.replaceWith(target)\n }\n }\n })\n\n /* Re-evaluate scripts */\n document$\n .pipe(\n skip(1),\n map(() => getComponentElement(\"container\")),\n switchMap(el => getElements(\"script\", el)),\n concatMap(el => {\n const script = h(\"script\")\n if (el.src) {\n for (const name of el.getAttributeNames())\n script.setAttribute(name, el.getAttribute(name)!)\n el.replaceWith(script)\n\n /* Complete when script is loaded */\n return new Observable(observer => {\n script.onload = () => observer.complete()\n })\n\n /* Complete immediately */\n } else {\n script.textContent = el.textContent\n el.replaceWith(script)\n return EMPTY\n }\n })\n )\n .subscribe()\n\n /* Emit history state change */\n merge(push$, pop$)\n .pipe(\n sample(document$)\n )\n .subscribe(({ url, offset }) => {\n if (url.hash && !offset) {\n setLocationHash(url.hash)\n } else {\n window.scrollTo(0, offset?.y || 0)\n }\n })\n\n /* Debounce update of viewport offset */\n viewport$\n .pipe(\n skipUntil(push$),\n debounceTime(250),\n distinctUntilKeyChanged(\"offset\")\n )\n .subscribe(({ offset }) => {\n history.replaceState(offset, \"\")\n })\n\n /* Set viewport offset from history */\n merge(push$, pop$)\n .pipe(\n bufferCount(2, 1),\n filter(([a, b]) => a.url.pathname === b.url.pathname),\n map(([, state]) => state)\n )\n .subscribe(({ offset }) => {\n window.scrollTo(0, offset?.y || 0)\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport escapeHTML from \"escape-html\"\n\nimport { SearchIndexDocument } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search document\n */\nexport interface SearchDocument extends SearchIndexDocument {\n parent?: SearchIndexDocument /* Parent article */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search document mapping\n */\nexport type SearchDocumentMap = Map\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create a search document mapping\n *\n * @param docs - Search index documents\n *\n * @returns Search document map\n */\nexport function setupSearchDocumentMap(\n docs: SearchIndexDocument[]\n): SearchDocumentMap {\n const documents = new Map()\n const parents = new Set()\n for (const doc of docs) {\n const [path, hash] = doc.location.split(\"#\")\n\n /* Extract location, title and tags */\n const location = doc.location\n const title = doc.title\n const tags = doc.tags\n\n /* Escape and cleanup text */\n const text = escapeHTML(doc.text)\n .replace(/\\s+(?=[,.:;!?])/g, \"\")\n .replace(/\\s+/g, \" \")\n\n /* Handle section */\n if (hash) {\n const parent = documents.get(path)!\n\n /* Ignore first section, override article */\n if (!parents.has(parent)) {\n parent.title = doc.title\n parent.text = text\n\n /* Remember that we processed the article */\n parents.add(parent)\n\n /* Add subsequent section */\n } else {\n documents.set(location, {\n location,\n title,\n text,\n parent\n })\n }\n\n /* Add article */\n } else {\n documents.set(location, {\n location,\n title,\n text,\n ...tags && { tags }\n })\n }\n }\n return documents\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport escapeHTML from \"escape-html\"\n\nimport { SearchIndexConfig } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search highlight function\n *\n * @param value - Value\n *\n * @returns Highlighted value\n */\nexport type SearchHighlightFn = (value: string) => string\n\n/**\n * Search highlight factory function\n *\n * @param query - Query value\n *\n * @returns Search highlight function\n */\nexport type SearchHighlightFactoryFn = (query: string) => SearchHighlightFn\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create a search highlighter\n *\n * @param config - Search index configuration\n * @param escape - Whether to escape HTML\n *\n * @returns Search highlight factory function\n */\nexport function setupSearchHighlighter(\n config: SearchIndexConfig, escape: boolean\n): SearchHighlightFactoryFn {\n const separator = new RegExp(config.separator, \"img\")\n const highlight = (_: unknown, data: string, term: string) => {\n return `${data}${term}`\n }\n\n /* Return factory function */\n return (query: string) => {\n query = query\n .replace(/[\\s*+\\-:~^]+/g, \" \")\n .trim()\n\n /* Create search term match expression */\n const match = new RegExp(`(^|${config.separator})(${\n query\n .replace(/[|\\\\{}()[\\]^$+*?.-]/g, \"\\\\$&\")\n .replace(separator, \"|\")\n })`, \"img\")\n\n /* Highlight string value */\n return value => (\n escape\n ? escapeHTML(value)\n : value\n )\n .replace(match, highlight)\n .replace(/<\\/mark>(\\s+)]*>/img, \"$1\")\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search transformation function\n *\n * @param value - Query value\n *\n * @returns Transformed query value\n */\nexport type SearchTransformFn = (value: string) => string\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Default transformation function\n *\n * 1. Search for terms in quotation marks and prepend a `+` modifier to denote\n * that the resulting document must contain all terms, converting the query\n * to an `AND` query (as opposed to the default `OR` behavior). While users\n * may expect terms enclosed in quotation marks to map to span queries, i.e.\n * for which order is important, Lunr.js doesn't support them, so the best\n * we can do is to convert the terms to an `AND` query.\n *\n * 2. Replace control characters which are not located at the beginning of the\n * query or preceded by white space, or are not followed by a non-whitespace\n * character or are at the end of the query string. Furthermore, filter\n * unmatched quotation marks.\n *\n * 3. Trim excess whitespace from left and right.\n *\n * @param query - Query value\n *\n * @returns Transformed query value\n */\nexport function defaultTransform(query: string): string {\n return query\n .split(/\"([^\"]+)\"/g) /* => 1 */\n .map((terms, index) => index & 1\n ? terms.replace(/^\\b|^(?![^\\x00-\\x7F]|$)|\\s+/g, \" +\")\n : terms\n )\n .join(\"\")\n .replace(/\"|(?:^|\\s+)[*+\\-:^~]+(?=\\s+|$)/g, \"\") /* => 2 */\n .trim() /* => 3 */\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A RTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { SearchIndex, SearchResult } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search message type\n */\nexport const enum SearchMessageType {\n SETUP, /* Search index setup */\n READY, /* Search index ready */\n QUERY, /* Search query */\n RESULT /* Search results */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Message containing the data necessary to setup the search index\n */\nexport interface SearchSetupMessage {\n type: SearchMessageType.SETUP /* Message type */\n data: SearchIndex /* Message data */\n}\n\n/**\n * Message indicating the search index is ready\n */\nexport interface SearchReadyMessage {\n type: SearchMessageType.READY /* Message type */\n}\n\n/**\n * Message containing a search query\n */\nexport interface SearchQueryMessage {\n type: SearchMessageType.QUERY /* Message type */\n data: string /* Message data */\n}\n\n/**\n * Message containing results for a search query\n */\nexport interface SearchResultMessage {\n type: SearchMessageType.RESULT /* Message type */\n data: SearchResult /* Message data */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Message exchanged with the search worker\n */\nexport type SearchMessage =\n | SearchSetupMessage\n | SearchReadyMessage\n | SearchQueryMessage\n | SearchResultMessage\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Type guard for search setup messages\n *\n * @param message - Search worker message\n *\n * @returns Test result\n */\nexport function isSearchSetupMessage(\n message: SearchMessage\n): message is SearchSetupMessage {\n return message.type === SearchMessageType.SETUP\n}\n\n/**\n * Type guard for search ready messages\n *\n * @param message - Search worker message\n *\n * @returns Test result\n */\nexport function isSearchReadyMessage(\n message: SearchMessage\n): message is SearchReadyMessage {\n return message.type === SearchMessageType.READY\n}\n\n/**\n * Type guard for search query messages\n *\n * @param message - Search worker message\n *\n * @returns Test result\n */\nexport function isSearchQueryMessage(\n message: SearchMessage\n): message is SearchQueryMessage {\n return message.type === SearchMessageType.QUERY\n}\n\n/**\n * Type guard for search result messages\n *\n * @param message - Search worker message\n *\n * @returns Test result\n */\nexport function isSearchResultMessage(\n message: SearchMessage\n): message is SearchResultMessage {\n return message.type === SearchMessageType.RESULT\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A RTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n ObservableInput,\n Subject,\n from,\n map,\n share\n} from \"rxjs\"\n\nimport { configuration, feature, translation } from \"~/_\"\nimport { WorkerHandler, watchWorker } from \"~/browser\"\n\nimport { SearchIndex } from \"../../_\"\nimport {\n SearchOptions,\n SearchPipeline\n} from \"../../options\"\nimport {\n SearchMessage,\n SearchMessageType,\n SearchSetupMessage,\n isSearchResultMessage\n} from \"../message\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search worker\n */\nexport type SearchWorker = WorkerHandler\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Set up search index\n *\n * @param data - Search index\n *\n * @returns Search index\n */\nfunction setupSearchIndex({ config, docs }: SearchIndex): SearchIndex {\n\n /* Override default language with value from translation */\n if (config.lang.length === 1 && config.lang[0] === \"en\")\n config.lang = [\n translation(\"search.config.lang\")\n ]\n\n /* Override default separator with value from translation */\n if (config.separator === \"[\\\\s\\\\-]+\")\n config.separator = translation(\"search.config.separator\")\n\n /* Set pipeline from translation */\n const pipeline = translation(\"search.config.pipeline\")\n .split(/\\s*,\\s*/)\n .filter(Boolean) as SearchPipeline\n\n /* Determine search options */\n const options: SearchOptions = {\n pipeline,\n suggestions: feature(\"search.suggest\")\n }\n\n /* Return search index after defaulting */\n return { config, docs, options }\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Set up search worker\n *\n * This function creates a web worker to set up and query the search index,\n * which is done using Lunr.js. The index must be passed as an observable to\n * enable hacks like _localsearch_ via search index embedding as JSON.\n *\n * @param url - Worker URL\n * @param index - Search index observable input\n *\n * @returns Search worker\n */\nexport function setupSearchWorker(\n url: string, index: ObservableInput\n): SearchWorker {\n const config = configuration()\n const worker = new Worker(url)\n\n /* Create communication channels and resolve relative links */\n const tx$ = new Subject()\n const rx$ = watchWorker(worker, { tx$ })\n .pipe(\n map(message => {\n if (isSearchResultMessage(message)) {\n for (const result of message.data.items)\n for (const document of result)\n document.location = `${new URL(document.location, config.base)}`\n }\n return message\n }),\n share()\n )\n\n /* Set up search index */\n from(index)\n .pipe(\n map(data => ({\n type: SearchMessageType.SETUP,\n data: setupSearchIndex(data)\n } as SearchSetupMessage))\n )\n .subscribe(tx$.next.bind(tx$))\n\n /* Return search worker */\n return { tx$, rx$ }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Subject,\n catchError,\n combineLatest,\n filter,\n fromEvent,\n map,\n of,\n switchMap,\n withLatestFrom\n} from \"rxjs\"\n\nimport { configuration } from \"~/_\"\nimport {\n getElement,\n getLocation,\n requestJSON,\n setLocation\n} from \"~/browser\"\nimport { getComponentElements } from \"~/components\"\nimport {\n Version,\n renderVersionSelector\n} from \"~/templates\"\n\nimport { fetchSitemap } from \"../sitemap\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Setup options\n */\ninterface SetupOptions {\n document$: Subject /* Document subject */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Set up version selector\n *\n * @param options - Options\n */\nexport function setupVersionSelector(\n { document$ }: SetupOptions\n): void {\n const config = configuration()\n const versions$ = requestJSON(\n new URL(\"../versions.json\", config.base)\n )\n .pipe(\n catchError(() => EMPTY) // @todo refactor instant loading\n )\n\n /* Determine current version */\n const current$ = versions$\n .pipe(\n map(versions => {\n const [, current] = config.base.match(/([^/]+)\\/?$/)!\n return versions.find(({ version, aliases }) => (\n version === current || aliases.includes(current)\n )) || versions[0]\n })\n )\n\n /* Intercept inter-version navigation */\n versions$\n .pipe(\n map(versions => new Map(versions.map(version => [\n `${new URL(`../${version.version}/`, config.base)}`,\n version\n ]))),\n switchMap(urls => fromEvent(document.body, \"click\")\n .pipe(\n filter(ev => !ev.metaKey && !ev.ctrlKey),\n withLatestFrom(current$),\n switchMap(([ev, current]) => {\n if (ev.target instanceof Element) {\n const el = ev.target.closest(\"a\")\n if (el && !el.target && urls.has(el.href)) {\n const url = el.href\n // This is a temporary hack to detect if a version inside the\n // version selector or on another part of the site was clicked.\n // If we're inside the version selector, we definitely want to\n // find the same page, as we might have different deployments\n // due to aliases. However, if we're outside the version\n // selector, we must abort here, because we might otherwise\n // interfere with instant loading. We need to refactor this\n // at some point together with instant loading.\n //\n // See https://github.com/squidfunk/mkdocs-material/issues/4012\n if (!ev.target.closest(\".md-version\")) {\n const version = urls.get(url)!\n if (version === current)\n return EMPTY\n }\n ev.preventDefault()\n return of(url)\n }\n }\n return EMPTY\n }),\n switchMap(url => {\n const { version } = urls.get(url)!\n return fetchSitemap(new URL(url))\n .pipe(\n map(sitemap => {\n const location = getLocation()\n const path = location.href.replace(config.base, \"\")\n return sitemap.includes(path.split(\"#\")[0])\n ? new URL(`../${version}/${path}`, config.base)\n : new URL(url)\n })\n )\n })\n )\n )\n )\n .subscribe(url => setLocation(url))\n\n /* Render version selector and warning */\n combineLatest([versions$, current$])\n .subscribe(([versions, current]) => {\n const topic = getElement(\".md-header__topic\")\n topic.appendChild(renderVersionSelector(versions, current))\n })\n\n /* Integrate outdated version banner with instant loading */\n document$.pipe(switchMap(() => current$))\n .subscribe(current => {\n\n /* Check if version state was already determined */\n let outdated = __md_get(\"__outdated\", sessionStorage)\n if (outdated === null) {\n const latest = config.version?.default || \"latest\"\n outdated = !current.aliases.includes(latest)\n\n /* Persist version state in session storage */\n __md_set(\"__outdated\", outdated, sessionStorage)\n }\n\n /* Unhide outdated version banner */\n if (outdated)\n for (const warning of getComponentElements(\"outdated\"))\n warning.hidden = false\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n combineLatest,\n delay,\n distinctUntilChanged,\n distinctUntilKeyChanged,\n filter,\n finalize,\n fromEvent,\n map,\n merge,\n share,\n shareReplay,\n startWith,\n take,\n takeLast,\n takeUntil,\n tap\n} from \"rxjs\"\n\nimport { translation } from \"~/_\"\nimport {\n getLocation,\n setToggle,\n watchElementFocus,\n watchToggle\n} from \"~/browser\"\nimport {\n SearchMessageType,\n SearchQueryMessage,\n SearchWorker,\n defaultTransform,\n isSearchReadyMessage\n} from \"~/integrations\"\n\nimport { Component } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search query\n */\nexport interface SearchQuery {\n value: string /* Query value */\n focus: boolean /* Query focus */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch search query\n *\n * Note that the focus event which triggers re-reading the current query value\n * is delayed by `1ms` so the input's empty state is allowed to propagate.\n *\n * @param el - Search query element\n * @param worker - Search worker\n *\n * @returns Search query observable\n */\nexport function watchSearchQuery(\n el: HTMLInputElement, { rx$ }: SearchWorker\n): Observable {\n const fn = __search?.transform || defaultTransform\n\n /* Immediately show search dialog */\n const { searchParams } = getLocation()\n if (searchParams.has(\"q\"))\n setToggle(\"search\", true)\n\n /* Intercept query parameter (deep link) */\n const param$ = rx$\n .pipe(\n filter(isSearchReadyMessage),\n take(1),\n map(() => searchParams.get(\"q\") || \"\")\n )\n\n /* Remove query parameter when search is closed */\n watchToggle(\"search\")\n .pipe(\n filter(active => !active),\n take(1)\n )\n .subscribe(() => {\n const url = new URL(location.href)\n url.searchParams.delete(\"q\")\n history.replaceState({}, \"\", `${url}`)\n })\n\n /* Set query from parameter */\n param$.subscribe(value => { // TODO: not ideal - find a better way\n if (value) {\n el.value = value\n el.focus()\n }\n })\n\n /* Intercept focus and input events */\n const focus$ = watchElementFocus(el)\n const value$ = merge(\n fromEvent(el, \"keyup\"),\n fromEvent(el, \"focus\").pipe(delay(1)),\n param$\n )\n .pipe(\n map(() => fn(el.value)),\n startWith(\"\"),\n distinctUntilChanged(),\n )\n\n /* Combine into single observable */\n return combineLatest([value$, focus$])\n .pipe(\n map(([value, focus]) => ({ value, focus })),\n shareReplay(1)\n )\n}\n\n/**\n * Mount search query\n *\n * @param el - Search query element\n * @param worker - Search worker\n *\n * @returns Search query component observable\n */\nexport function mountSearchQuery(\n el: HTMLInputElement, { tx$, rx$ }: SearchWorker\n): Observable> {\n const push$ = new Subject()\n const done$ = push$.pipe(takeLast(1))\n\n /* Handle value changes */\n push$\n .pipe(\n distinctUntilKeyChanged(\"value\"),\n map(({ value }): SearchQueryMessage => ({\n type: SearchMessageType.QUERY,\n data: value\n }))\n )\n .subscribe(tx$.next.bind(tx$))\n\n /* Handle focus changes */\n push$\n .pipe(\n distinctUntilKeyChanged(\"focus\")\n )\n .subscribe(({ focus }) => {\n if (focus) {\n setToggle(\"search\", focus)\n el.placeholder = \"\"\n } else {\n el.placeholder = translation(\"search.placeholder\")\n }\n })\n\n /* Handle reset */\n fromEvent(el.form!, \"reset\")\n .pipe(\n takeUntil(done$)\n )\n .subscribe(() => el.focus())\n\n /* Create and return component */\n return watchSearchQuery(el, { tx$, rx$ })\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state })),\n share()\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n bufferCount,\n filter,\n finalize,\n map,\n merge,\n of,\n skipUntil,\n switchMap,\n take,\n tap,\n withLatestFrom,\n zipWith\n} from \"rxjs\"\n\nimport { translation } from \"~/_\"\nimport {\n getElement,\n watchElementBoundary\n} from \"~/browser\"\nimport {\n SearchResult,\n SearchWorker,\n isSearchReadyMessage,\n isSearchResultMessage\n} from \"~/integrations\"\nimport { renderSearchResultItem } from \"~/templates\"\nimport { round } from \"~/utilities\"\n\nimport { Component } from \"../../_\"\nimport { SearchQuery } from \"../query\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n query$: Observable /* Search query observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount search result list\n *\n * This function performs a lazy rendering of the search results, depending on\n * the vertical offset of the search result container.\n *\n * @param el - Search result list element\n * @param worker - Search worker\n * @param options - Options\n *\n * @returns Search result list component observable\n */\nexport function mountSearchResult(\n el: HTMLElement, { rx$ }: SearchWorker, { query$ }: MountOptions\n): Observable> {\n const push$ = new Subject()\n const boundary$ = watchElementBoundary(el.parentElement!)\n .pipe(\n filter(Boolean)\n )\n\n /* Retrieve nested components */\n const meta = getElement(\":scope > :first-child\", el)\n const list = getElement(\":scope > :last-child\", el)\n\n /* Wait until search is ready */\n const ready$ = rx$\n .pipe(\n filter(isSearchReadyMessage),\n take(1)\n )\n\n /* Update search result metadata */\n push$\n .pipe(\n withLatestFrom(query$),\n skipUntil(ready$)\n )\n .subscribe(([{ items }, { value }]) => {\n if (value) {\n switch (items.length) {\n\n /* No results */\n case 0:\n meta.textContent = translation(\"search.result.none\")\n break\n\n /* One result */\n case 1:\n meta.textContent = translation(\"search.result.one\")\n break\n\n /* Multiple result */\n default:\n meta.textContent = translation(\n \"search.result.other\",\n round(items.length)\n )\n }\n } else {\n meta.textContent = translation(\"search.result.placeholder\")\n }\n })\n\n /* Update search result list */\n push$\n .pipe(\n tap(() => list.innerHTML = \"\"),\n switchMap(({ items }) => merge(\n of(...items.slice(0, 10)),\n of(...items.slice(10))\n .pipe(\n bufferCount(4),\n zipWith(boundary$),\n switchMap(([chunk]) => chunk)\n )\n ))\n )\n .subscribe(result => list.appendChild(\n renderSearchResultItem(result)\n ))\n\n /* Filter search result message */\n const result$ = rx$\n .pipe(\n filter(isSearchResultMessage),\n map(({ data }) => data)\n )\n\n /* Create and return component */\n return result$\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n finalize,\n fromEvent,\n map,\n tap\n} from \"rxjs\"\n\nimport { getLocation } from \"~/browser\"\n\nimport { Component } from \"../../_\"\nimport { SearchQuery } from \"../query\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search sharing\n */\nexport interface SearchShare {\n url: URL /* Deep link for sharing */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n query$: Observable /* Search query observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n query$: Observable /* Search query observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount search sharing\n *\n * @param _el - Search sharing element\n * @param options - Options\n *\n * @returns Search sharing observable\n */\nexport function watchSearchShare(\n _el: HTMLElement, { query$ }: WatchOptions\n): Observable {\n return query$\n .pipe(\n map(({ value }) => {\n const url = getLocation()\n url.hash = \"\"\n url.searchParams.delete(\"h\")\n url.searchParams.set(\"q\", value)\n return { url }\n })\n )\n}\n\n/**\n * Mount search sharing\n *\n * @param el - Search sharing element\n * @param options - Options\n *\n * @returns Search sharing component observable\n */\nexport function mountSearchShare(\n el: HTMLAnchorElement, options: MountOptions\n): Observable> {\n const push$ = new Subject()\n push$.subscribe(({ url }) => {\n el.setAttribute(\"data-clipboard-text\", el.href)\n el.href = `${url}`\n })\n\n /* Prevent following of link */\n fromEvent(el, \"click\")\n .subscribe(ev => ev.preventDefault())\n\n /* Create and return component */\n return watchSearchShare(el, options)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n asyncScheduler,\n combineLatestWith,\n distinctUntilChanged,\n filter,\n finalize,\n fromEvent,\n map,\n merge,\n observeOn,\n tap\n} from \"rxjs\"\n\nimport { Keyboard } from \"~/browser\"\nimport {\n SearchResult,\n SearchWorker,\n isSearchResultMessage\n} from \"~/integrations\"\n\nimport { Component, getComponentElement } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search suggestions\n */\nexport interface SearchSuggest {}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n keyboard$: Observable /* Keyboard observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount search suggestions\n *\n * This function will perform a lazy rendering of the search results, depending\n * on the vertical offset of the search result container.\n *\n * @param el - Search result list element\n * @param worker - Search worker\n * @param options - Options\n *\n * @returns Search result list component observable\n */\nexport function mountSearchSuggest(\n el: HTMLElement, { rx$ }: SearchWorker, { keyboard$ }: MountOptions\n): Observable> {\n const push$ = new Subject()\n\n /* Retrieve query component and track all changes */\n const query = getComponentElement(\"search-query\")\n const query$ = merge(\n fromEvent(query, \"keydown\"),\n fromEvent(query, \"focus\")\n )\n .pipe(\n observeOn(asyncScheduler),\n map(() => query.value),\n distinctUntilChanged(),\n )\n\n /* Update search suggestions */\n push$\n .pipe(\n combineLatestWith(query$),\n map(([{ suggestions }, value]) => {\n const words = value.split(/([\\s-]+)/)\n if (suggestions?.length && words[words.length - 1]) {\n const last = suggestions[suggestions.length - 1]\n if (last.startsWith(words[words.length - 1]))\n words[words.length - 1] = last\n } else {\n words.length = 0\n }\n return words\n })\n )\n .subscribe(words => el.innerHTML = words\n .join(\"\")\n .replace(/\\s/g, \" \")\n )\n\n /* Set up search keyboard handlers */\n keyboard$\n .pipe(\n filter(({ mode }) => mode === \"search\")\n )\n .subscribe(key => {\n switch (key.type) {\n\n /* Right arrow: accept current suggestion */\n case \"ArrowRight\":\n if (\n el.innerText.length &&\n query.selectionStart === query.value.length\n )\n query.value = el.innerText\n break\n }\n })\n\n /* Filter search result message */\n const result$ = rx$\n .pipe(\n filter(isSearchResultMessage),\n map(({ data }) => data)\n )\n\n /* Create and return component */\n return result$\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(() => ({ ref: el }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n NEVER,\n Observable,\n ObservableInput,\n filter,\n merge,\n mergeWith,\n sample,\n take\n} from \"rxjs\"\n\nimport { configuration } from \"~/_\"\nimport {\n Keyboard,\n getActiveElement,\n getElements,\n setToggle\n} from \"~/browser\"\nimport {\n SearchIndex,\n SearchResult,\n isSearchQueryMessage,\n isSearchReadyMessage,\n setupSearchWorker\n} from \"~/integrations\"\n\nimport {\n Component,\n getComponentElement,\n getComponentElements\n} from \"../../_\"\nimport {\n SearchQuery,\n mountSearchQuery\n} from \"../query\"\nimport { mountSearchResult } from \"../result\"\nimport {\n SearchShare,\n mountSearchShare\n} from \"../share\"\nimport {\n SearchSuggest,\n mountSearchSuggest\n} from \"../suggest\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search\n */\nexport type Search =\n | SearchQuery\n | SearchResult\n | SearchShare\n | SearchSuggest\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n index$: ObservableInput /* Search index observable */\n keyboard$: Observable /* Keyboard observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount search\n *\n * This function sets up the search functionality, including the underlying\n * web worker and all keyboard bindings.\n *\n * @param el - Search element\n * @param options - Options\n *\n * @returns Search component observable\n */\nexport function mountSearch(\n el: HTMLElement, { index$, keyboard$ }: MountOptions\n): Observable> {\n const config = configuration()\n try {\n const url = __search?.worker || config.search\n const worker = setupSearchWorker(url, index$)\n\n /* Retrieve query and result components */\n const query = getComponentElement(\"search-query\", el)\n const result = getComponentElement(\"search-result\", el)\n\n /* Re-emit query when search is ready */\n const { tx$, rx$ } = worker\n tx$\n .pipe(\n filter(isSearchQueryMessage),\n sample(rx$.pipe(filter(isSearchReadyMessage))),\n take(1)\n )\n .subscribe(tx$.next.bind(tx$))\n\n /* Set up search keyboard handlers */\n keyboard$\n .pipe(\n filter(({ mode }) => mode === \"search\")\n )\n .subscribe(key => {\n const active = getActiveElement()\n switch (key.type) {\n\n /* Enter: go to first (best) result */\n case \"Enter\":\n if (active === query) {\n const anchors = new Map()\n for (const anchor of getElements(\n \":first-child [href]\", result\n )) {\n const article = anchor.firstElementChild!\n anchors.set(anchor, parseFloat(\n article.getAttribute(\"data-md-score\")!\n ))\n }\n\n /* Go to result with highest score, if any */\n if (anchors.size) {\n const [[best]] = [...anchors].sort(([, a], [, b]) => b - a)\n best.click()\n }\n\n /* Otherwise omit form submission */\n key.claim()\n }\n break\n\n /* Escape or Tab: close search */\n case \"Escape\":\n case \"Tab\":\n setToggle(\"search\", false)\n query.blur()\n break\n\n /* Vertical arrows: select previous or next search result */\n case \"ArrowUp\":\n case \"ArrowDown\":\n if (typeof active === \"undefined\") {\n query.focus()\n } else {\n const els = [query, ...getElements(\n \":not(details) > [href], summary, details[open] [href]\",\n result\n )]\n const i = Math.max(0, (\n Math.max(0, els.indexOf(active)) + els.length + (\n key.type === \"ArrowUp\" ? -1 : +1\n )\n ) % els.length)\n els[i].focus()\n }\n\n /* Prevent scrolling of page */\n key.claim()\n break\n\n /* All other keys: hand to search query */\n default:\n if (query !== getActiveElement())\n query.focus()\n }\n })\n\n /* Set up global keyboard handlers */\n keyboard$\n .pipe(\n filter(({ mode }) => mode === \"global\"),\n )\n .subscribe(key => {\n switch (key.type) {\n\n /* Open search and select query */\n case \"f\":\n case \"s\":\n case \"/\":\n query.focus()\n query.select()\n\n /* Prevent scrolling of page */\n key.claim()\n break\n }\n })\n\n /* Create and return component */\n const query$ = mountSearchQuery(query, worker)\n const result$ = mountSearchResult(result, worker, { query$ })\n return merge(query$, result$)\n .pipe(\n mergeWith(\n\n /* Search sharing */\n ...getComponentElements(\"search-share\", el)\n .map(child => mountSearchShare(child, { query$ })),\n\n /* Search suggestions */\n ...getComponentElements(\"search-suggest\", el)\n .map(child => mountSearchSuggest(child, worker, { keyboard$ }))\n )\n )\n\n /* Gracefully handle broken search */\n } catch (err) {\n el.hidden = true\n return NEVER\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n ObservableInput,\n combineLatest,\n filter,\n map,\n startWith\n} from \"rxjs\"\n\nimport { getLocation } from \"~/browser\"\nimport {\n SearchIndex,\n setupSearchHighlighter\n} from \"~/integrations\"\nimport { h } from \"~/utilities\"\n\nimport { Component } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search highlighting\n */\nexport interface SearchHighlight {\n nodes: Map /* Map of replacements */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n index$: ObservableInput /* Search index observable */\n location$: Observable /* Location observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount search highlighting\n *\n * @param el - Content element\n * @param options - Options\n *\n * @returns Search highlighting component observable\n */\nexport function mountSearchHiglight(\n el: HTMLElement, { index$, location$ }: MountOptions\n): Observable> {\n return combineLatest([\n index$,\n location$\n .pipe(\n startWith(getLocation()),\n filter(url => !!url.searchParams.get(\"h\"))\n )\n ])\n .pipe(\n map(([index, url]) => setupSearchHighlighter(index.config, true)(\n url.searchParams.get(\"h\")!\n )),\n map(fn => {\n const nodes = new Map()\n\n /* Traverse text nodes and collect matches */\n const it = document.createNodeIterator(el, NodeFilter.SHOW_TEXT)\n for (let node = it.nextNode(); node; node = it.nextNode()) {\n if (node.parentElement?.offsetHeight) {\n const original = node.textContent!\n const replaced = fn(original)\n if (replaced.length > original.length)\n nodes.set(node as ChildNode, replaced)\n }\n }\n\n /* Replace original nodes with matches */\n for (const [node, text] of nodes) {\n const { childNodes } = h(\"span\", null, text)\n node.replaceWith(...Array.from(childNodes))\n }\n\n /* Return component */\n return { ref: el, nodes }\n })\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n animationFrameScheduler,\n auditTime,\n combineLatest,\n defer,\n distinctUntilChanged,\n finalize,\n map,\n observeOn,\n take,\n tap,\n withLatestFrom\n} from \"rxjs\"\n\nimport {\n Viewport,\n getElement,\n getElementContainer,\n getElementOffset,\n getElementSize,\n getElements\n} from \"~/browser\"\n\nimport { Component } from \"../_\"\nimport { Header } from \"../header\"\nimport { Main } from \"../main\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Sidebar\n */\nexport interface Sidebar {\n height: number /* Sidebar height */\n locked: boolean /* Sidebar is locked */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n main$: Observable
    /* Main area observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n main$: Observable
    /* Main area observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch sidebar\n *\n * This function returns an observable that computes the visual parameters of\n * the sidebar which depends on the vertical viewport offset, as well as the\n * height of the main area. When the page is scrolled beyond the header, the\n * sidebar is locked and fills the remaining space.\n *\n * @param el - Sidebar element\n * @param options - Options\n *\n * @returns Sidebar observable\n */\nexport function watchSidebar(\n el: HTMLElement, { viewport$, main$ }: WatchOptions\n): Observable {\n const parent = el.parentElement!\n const adjust =\n parent.offsetTop -\n parent.parentElement!.offsetTop\n\n /* Compute the sidebar's available height and if it should be locked */\n return combineLatest([main$, viewport$])\n .pipe(\n map(([{ offset, height }, { offset: { y } }]) => {\n height = height\n + Math.min(adjust, Math.max(0, y - offset))\n - adjust\n return {\n height,\n locked: y >= offset + adjust\n }\n }),\n distinctUntilChanged((a, b) => (\n a.height === b.height &&\n a.locked === b.locked\n ))\n )\n}\n\n/**\n * Mount sidebar\n *\n * This function doesn't set the height of the actual sidebar, but of its first\n * child \u2013 the `.md-sidebar__scrollwrap` element in order to mitigiate jittery\n * sidebars when the footer is scrolled into view. At some point we switched\n * from `absolute` / `fixed` positioning to `sticky` positioning, significantly\n * reducing jitter in some browsers (respectively Firefox and Safari) when\n * scrolling from the top. However, top-aligned sticky positioning means that\n * the sidebar snaps to the bottom when the end of the container is reached.\n * This is what leads to the mentioned jitter, as the sidebar's height may be\n * updated too slowly.\n *\n * This behaviour can be mitigiated by setting the height of the sidebar to `0`\n * while preserving the padding, and the height on its first element.\n *\n * @param el - Sidebar element\n * @param options - Options\n *\n * @returns Sidebar component observable\n */\nexport function mountSidebar(\n el: HTMLElement, { header$, ...options }: MountOptions\n): Observable> {\n const inner = getElement(\".md-sidebar__scrollwrap\", el)\n const { y } = getElementOffset(inner)\n return defer(() => {\n const push$ = new Subject()\n push$\n .pipe(\n auditTime(0, animationFrameScheduler),\n withLatestFrom(header$)\n )\n .subscribe({\n\n /* Handle emission */\n next([{ height }, { height: offset }]) {\n inner.style.height = `${height - 2 * y}px`\n el.style.top = `${offset}px`\n },\n\n /* Handle complete */\n complete() {\n inner.style.height = \"\"\n el.style.top = \"\"\n }\n })\n\n /* Bring active item into view on initial load */\n push$\n .pipe(\n observeOn(animationFrameScheduler),\n take(1)\n )\n .subscribe(() => {\n for (const item of getElements(\".md-nav__link--active[href]\", el)) {\n const container = getElementContainer(item)\n if (typeof container !== \"undefined\") {\n const offset = item.offsetTop - container.offsetTop\n const { height } = getElementSize(container)\n container.scrollTo({\n top: offset - height / 2\n })\n }\n }\n })\n\n /* Create and return component */\n return watchSidebar(el, options)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { Repo, User } from \"github-types\"\nimport {\n EMPTY,\n Observable,\n catchError,\n defaultIfEmpty,\n map,\n zip\n} from \"rxjs\"\n\nimport { requestJSON } from \"~/browser\"\n\nimport { SourceFacts } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * GitHub release (partial)\n */\ninterface Release {\n tag_name: string /* Tag name */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch GitHub repository facts\n *\n * @param user - GitHub user or organization\n * @param repo - GitHub repository\n *\n * @returns Repository facts observable\n */\nexport function fetchSourceFactsFromGitHub(\n user: string, repo?: string\n): Observable {\n if (typeof repo !== \"undefined\") {\n const url = `https://api.github.com/repos/${user}/${repo}`\n return zip(\n\n /* Fetch version */\n requestJSON(`${url}/releases/latest`)\n .pipe(\n catchError(() => EMPTY), // @todo refactor instant loading\n map(release => ({\n version: release.tag_name\n })),\n defaultIfEmpty({})\n ),\n\n /* Fetch stars and forks */\n requestJSON(url)\n .pipe(\n catchError(() => EMPTY), // @todo refactor instant loading\n map(info => ({\n stars: info.stargazers_count,\n forks: info.forks_count\n })),\n defaultIfEmpty({})\n )\n )\n .pipe(\n map(([release, info]) => ({ ...release, ...info }))\n )\n\n /* User or organization */\n } else {\n const url = `https://api.github.com/users/${user}`\n return requestJSON(url)\n .pipe(\n map(info => ({\n repositories: info.public_repos\n })),\n defaultIfEmpty({})\n )\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { ProjectSchema } from \"gitlab\"\nimport {\n EMPTY,\n Observable,\n catchError,\n defaultIfEmpty,\n map\n} from \"rxjs\"\n\nimport { requestJSON } from \"~/browser\"\n\nimport { SourceFacts } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch GitLab repository facts\n *\n * @param base - GitLab base\n * @param project - GitLab project\n *\n * @returns Repository facts observable\n */\nexport function fetchSourceFactsFromGitLab(\n base: string, project: string\n): Observable {\n const url = `https://${base}/api/v4/projects/${encodeURIComponent(project)}`\n return requestJSON(url)\n .pipe(\n catchError(() => EMPTY), // @todo refactor instant loading\n map(({ star_count, forks_count }) => ({\n stars: star_count,\n forks: forks_count\n })),\n defaultIfEmpty({})\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { EMPTY, Observable } from \"rxjs\"\n\nimport { fetchSourceFactsFromGitHub } from \"../github\"\nimport { fetchSourceFactsFromGitLab } from \"../gitlab\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Repository facts for repositories\n */\nexport interface RepositoryFacts {\n stars?: number /* Number of stars */\n forks?: number /* Number of forks */\n version?: string /* Latest version */\n}\n\n/**\n * Repository facts for organizations\n */\nexport interface OrganizationFacts {\n repositories?: number /* Number of repositories */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Repository facts\n */\nexport type SourceFacts =\n | RepositoryFacts\n | OrganizationFacts\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch repository facts\n *\n * @param url - Repository URL\n *\n * @returns Repository facts observable\n */\nexport function fetchSourceFacts(\n url: string\n): Observable {\n\n /* Try to match GitHub repository */\n let match = url.match(/^.+github\\.com\\/([^/]+)\\/?([^/]+)?/i)\n if (match) {\n const [, user, repo] = match\n return fetchSourceFactsFromGitHub(user, repo)\n }\n\n /* Try to match GitLab repository */\n match = url.match(/^.+?([^/]*gitlab[^/]+)\\/(.+?)\\/?$/i)\n if (match) {\n const [, base, slug] = match\n return fetchSourceFactsFromGitLab(base, slug)\n }\n\n /* Fallback */\n return EMPTY\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Observable,\n Subject,\n catchError,\n defer,\n filter,\n finalize,\n map,\n of,\n shareReplay,\n tap\n} from \"rxjs\"\n\nimport { getElement } from \"~/browser\"\nimport { ConsentDefaults } from \"~/components/consent\"\nimport { renderSourceFacts } from \"~/templates\"\n\nimport {\n Component,\n getComponentElements\n} from \"../../_\"\nimport {\n SourceFacts,\n fetchSourceFacts\n} from \"../facts\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Repository information\n */\nexport interface Source {\n facts: SourceFacts /* Repository facts */\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Repository information observable\n */\nlet fetch$: Observable\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch repository information\n *\n * This function tries to read the repository facts from session storage, and\n * if unsuccessful, fetches them from the underlying provider.\n *\n * @param el - Repository information element\n *\n * @returns Repository information observable\n */\nexport function watchSource(\n el: HTMLAnchorElement\n): Observable {\n return fetch$ ||= defer(() => {\n const cached = __md_get(\"__source\", sessionStorage)\n if (cached) {\n return of(cached)\n } else {\n\n /* Check if consent is configured and was given */\n const els = getComponentElements(\"consent\")\n if (els.length) {\n const consent = __md_get(\"__consent\")\n if (!(consent && consent.github))\n return EMPTY\n }\n\n /* Fetch repository facts */\n return fetchSourceFacts(el.href)\n .pipe(\n tap(facts => __md_set(\"__source\", facts, sessionStorage))\n )\n }\n })\n .pipe(\n catchError(() => EMPTY),\n filter(facts => Object.keys(facts).length > 0),\n map(facts => ({ facts })),\n shareReplay(1)\n )\n}\n\n/**\n * Mount repository information\n *\n * @param el - Repository information element\n *\n * @returns Repository information component observable\n */\nexport function mountSource(\n el: HTMLAnchorElement\n): Observable> {\n const inner = getElement(\":scope > :last-child\", el)\n return defer(() => {\n const push$ = new Subject()\n push$.subscribe(({ facts }) => {\n inner.appendChild(renderSourceFacts(facts))\n inner.classList.add(\"md-source__repository--active\")\n })\n\n /* Create and return component */\n return watchSource(el)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n defer,\n distinctUntilKeyChanged,\n finalize,\n map,\n of,\n switchMap,\n tap\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n Viewport,\n watchElementSize,\n watchViewportAt\n} from \"~/browser\"\n\nimport { Component } from \"../_\"\nimport { Header } from \"../header\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Navigation tabs\n */\nexport interface Tabs {\n hidden: boolean /* Navigation tabs are hidden */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch navigation tabs\n *\n * @param el - Navigation tabs element\n * @param options - Options\n *\n * @returns Navigation tabs observable\n */\nexport function watchTabs(\n el: HTMLElement, { viewport$, header$ }: WatchOptions\n): Observable {\n return watchElementSize(document.body)\n .pipe(\n switchMap(() => watchViewportAt(el, { header$, viewport$ })),\n map(({ offset: { y } }) => {\n return {\n hidden: y >= 10\n }\n }),\n distinctUntilKeyChanged(\"hidden\")\n )\n}\n\n/**\n * Mount navigation tabs\n *\n * This function hides the navigation tabs when scrolling past the threshold\n * and makes them reappear in a nice CSS animation when scrolling back up.\n *\n * @param el - Navigation tabs element\n * @param options - Options\n *\n * @returns Navigation tabs component observable\n */\nexport function mountTabs(\n el: HTMLElement, options: MountOptions\n): Observable> {\n return defer(() => {\n const push$ = new Subject()\n push$.subscribe({\n\n /* Handle emission */\n next({ hidden }) {\n el.hidden = hidden\n },\n\n /* Handle complete */\n complete() {\n el.hidden = false\n }\n })\n\n /* Create and return component */\n return (\n feature(\"navigation.tabs.sticky\")\n ? of({ hidden: false })\n : watchTabs(el, options)\n )\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n bufferCount,\n combineLatestWith,\n debounceTime,\n defer,\n distinctUntilChanged,\n distinctUntilKeyChanged,\n filter,\n finalize,\n map,\n merge,\n of,\n repeat,\n scan,\n share,\n skip,\n startWith,\n switchMap,\n takeLast,\n takeUntil,\n tap,\n withLatestFrom\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n Viewport,\n getElement,\n getElementContainer,\n getElementSize,\n getElements,\n getLocation,\n getOptionalElement,\n watchElementSize\n} from \"~/browser\"\n\nimport {\n Component,\n getComponentElement\n} from \"../_\"\nimport { Header } from \"../header\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Table of contents\n */\nexport interface TableOfContents {\n prev: HTMLAnchorElement[][] /* Anchors (previous) */\n next: HTMLAnchorElement[][] /* Anchors (next) */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n target$: Observable /* Location target observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch table of contents\n *\n * This is effectively a scroll spy implementation which will account for the\n * fixed header and automatically re-calculate anchor offsets when the viewport\n * is resized. The returned observable will only emit if the table of contents\n * needs to be repainted.\n *\n * This implementation tracks an anchor element's entire path starting from its\n * level up to the top-most anchor element, e.g. `[h3, h2, h1]`. Although the\n * Material theme currently doesn't make use of this information, it enables\n * the styling of the entire hierarchy through customization.\n *\n * Note that the current anchor is the last item of the `prev` anchor list.\n *\n * @param el - Table of contents element\n * @param options - Options\n *\n * @returns Table of contents observable\n */\nexport function watchTableOfContents(\n el: HTMLElement, { viewport$, header$ }: WatchOptions\n): Observable {\n const table = new Map()\n\n /* Compute anchor-to-target mapping */\n const anchors = getElements(\"[href^=\\\\#]\", el)\n for (const anchor of anchors) {\n const id = decodeURIComponent(anchor.hash.substring(1))\n const target = getOptionalElement(`[id=\"${id}\"]`)\n if (typeof target !== \"undefined\")\n table.set(anchor, target)\n }\n\n /* Compute necessary adjustment for header */\n const adjust$ = header$\n .pipe(\n distinctUntilKeyChanged(\"height\"),\n map(({ height }) => {\n const main = getComponentElement(\"main\")\n const grid = getElement(\":scope > :first-child\", main)\n return height + 0.8 * (\n grid.offsetTop -\n main.offsetTop\n )\n }),\n share()\n )\n\n /* Compute partition of previous and next anchors */\n const partition$ = watchElementSize(document.body)\n .pipe(\n distinctUntilKeyChanged(\"height\"),\n\n /* Build index to map anchor paths to vertical offsets */\n switchMap(body => defer(() => {\n let path: HTMLAnchorElement[] = []\n return of([...table].reduce((index, [anchor, target]) => {\n while (path.length) {\n const last = table.get(path[path.length - 1])!\n if (last.tagName >= target.tagName) {\n path.pop()\n } else {\n break\n }\n }\n\n /* If the current anchor is hidden, continue with its parent */\n let offset = target.offsetTop\n while (!offset && target.parentElement) {\n target = target.parentElement\n offset = target.offsetTop\n }\n\n /* Map reversed anchor path to vertical offset */\n return index.set(\n [...path = [...path, anchor]].reverse(),\n offset\n )\n }, new Map()))\n })\n .pipe(\n\n /* Sort index by vertical offset (see https://bit.ly/30z6QSO) */\n map(index => new Map([...index].sort(([, a], [, b]) => a - b))),\n combineLatestWith(adjust$),\n\n /* Re-compute partition when viewport offset changes */\n switchMap(([index, adjust]) => viewport$\n .pipe(\n scan(([prev, next], { offset: { y }, size }) => {\n const last = y + size.height >= Math.floor(body.height)\n\n /* Look forward */\n while (next.length) {\n const [, offset] = next[0]\n if (offset - adjust < y || last) {\n prev = [...prev, next.shift()!]\n } else {\n break\n }\n }\n\n /* Look backward */\n while (prev.length) {\n const [, offset] = prev[prev.length - 1]\n if (offset - adjust >= y && !last) {\n next = [prev.pop()!, ...next]\n } else {\n break\n }\n }\n\n /* Return partition */\n return [prev, next]\n }, [[], [...index]]),\n distinctUntilChanged((a, b) => (\n a[0] === b[0] &&\n a[1] === b[1]\n ))\n )\n )\n )\n )\n )\n\n /* Compute and return anchor list migrations */\n return partition$\n .pipe(\n map(([prev, next]) => ({\n prev: prev.map(([path]) => path),\n next: next.map(([path]) => path)\n })),\n\n /* Extract anchor list migrations */\n startWith({ prev: [], next: [] }),\n bufferCount(2, 1),\n map(([a, b]) => {\n\n /* Moving down */\n if (a.prev.length < b.prev.length) {\n return {\n prev: b.prev.slice(Math.max(0, a.prev.length - 1), b.prev.length),\n next: []\n }\n\n /* Moving up */\n } else {\n return {\n prev: b.prev.slice(-1),\n next: b.next.slice(0, b.next.length - a.next.length)\n }\n }\n })\n )\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Mount table of contents\n *\n * @param el - Table of contents element\n * @param options - Options\n *\n * @returns Table of contents component observable\n */\nexport function mountTableOfContents(\n el: HTMLElement, { viewport$, header$, target$ }: MountOptions\n): Observable> {\n return defer(() => {\n const push$ = new Subject()\n const done$ = push$.pipe(takeLast(1))\n push$.subscribe(({ prev, next }) => {\n\n /* Look forward */\n for (const [anchor] of next) {\n anchor.classList.remove(\"md-nav__link--passed\")\n anchor.classList.remove(\"md-nav__link--active\")\n }\n\n /* Look backward */\n for (const [index, [anchor]] of prev.entries()) {\n anchor.classList.add(\"md-nav__link--passed\")\n anchor.classList.toggle(\n \"md-nav__link--active\",\n index === prev.length - 1\n )\n }\n })\n\n /* Set up following, if enabled */\n if (feature(\"toc.follow\")) {\n\n /* Toggle smooth scrolling only for anchor clicks */\n const smooth$ = merge(\n viewport$.pipe(debounceTime(1), map(() => undefined)),\n viewport$.pipe(debounceTime(250), map(() => \"smooth\" as const))\n )\n\n /* Bring active anchor into view */\n push$\n .pipe(\n filter(({ prev }) => prev.length > 0),\n withLatestFrom(smooth$)\n )\n .subscribe(([{ prev }, behavior]) => {\n const [anchor] = prev[prev.length - 1]\n if (anchor.offsetHeight) {\n\n /* Retrieve overflowing container and scroll */\n const container = getElementContainer(anchor)\n if (typeof container !== \"undefined\") {\n const offset = anchor.offsetTop - container.offsetTop\n const { height } = getElementSize(container)\n container.scrollTo({\n top: offset - height / 2,\n behavior\n })\n }\n }\n })\n }\n\n /* Set up anchor tracking, if enabled */\n if (feature(\"navigation.tracking\"))\n viewport$\n .pipe(\n takeUntil(done$),\n distinctUntilKeyChanged(\"offset\"),\n debounceTime(250),\n skip(1),\n takeUntil(target$.pipe(skip(1))),\n repeat({ delay: 250 }),\n withLatestFrom(push$)\n )\n .subscribe(([, { prev }]) => {\n const url = getLocation()\n\n /* Set hash fragment to active anchor */\n const anchor = prev[prev.length - 1]\n if (anchor && anchor.length) {\n const [active] = anchor\n const { hash } = new URL(active.href)\n if (url.hash !== hash) {\n url.hash = hash\n history.replaceState({}, \"\", `${url}`)\n }\n\n /* Reset anchor when at the top */\n } else {\n url.hash = \"\"\n history.replaceState({}, \"\", `${url}`)\n }\n })\n\n /* Create and return component */\n return watchTableOfContents(el, { viewport$, header$ })\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n bufferCount,\n combineLatest,\n distinctUntilChanged,\n distinctUntilKeyChanged,\n endWith,\n finalize,\n map,\n repeat,\n skip,\n takeLast,\n takeUntil,\n tap\n} from \"rxjs\"\n\nimport { Viewport } from \"~/browser\"\n\nimport { Component } from \"../_\"\nimport { Header } from \"../header\"\nimport { Main } from \"../main\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Back-to-top button\n */\nexport interface BackToTop {\n hidden: boolean /* Back-to-top button is hidden */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n main$: Observable
    /* Main area observable */\n target$: Observable /* Location target observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n main$: Observable
    /* Main area observable */\n target$: Observable /* Location target observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch back-to-top\n *\n * @param _el - Back-to-top element\n * @param options - Options\n *\n * @returns Back-to-top observable\n */\nexport function watchBackToTop(\n _el: HTMLElement, { viewport$, main$, target$ }: WatchOptions\n): Observable {\n\n /* Compute direction */\n const direction$ = viewport$\n .pipe(\n map(({ offset: { y } }) => y),\n bufferCount(2, 1),\n map(([a, b]) => a > b && b > 0),\n distinctUntilChanged()\n )\n\n /* Compute whether main area is active */\n const active$ = main$\n .pipe(\n map(({ active }) => active)\n )\n\n /* Compute threshold for hiding */\n return combineLatest([active$, direction$])\n .pipe(\n map(([active, direction]) => !(active && direction)),\n distinctUntilChanged(),\n takeUntil(target$.pipe(skip(1))),\n endWith(true),\n repeat({ delay: 250 }),\n map(hidden => ({ hidden }))\n )\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Mount back-to-top\n *\n * @param el - Back-to-top element\n * @param options - Options\n *\n * @returns Back-to-top component observable\n */\nexport function mountBackToTop(\n el: HTMLElement, { viewport$, header$, main$, target$ }: MountOptions\n): Observable> {\n const push$ = new Subject()\n const done$ = push$.pipe(takeLast(1))\n push$.subscribe({\n\n /* Handle emission */\n next({ hidden }) {\n el.hidden = hidden\n if (hidden) {\n el.setAttribute(\"tabindex\", \"-1\")\n el.blur()\n } else {\n el.removeAttribute(\"tabindex\")\n }\n },\n\n /* Handle complete */\n complete() {\n el.style.top = \"\"\n el.hidden = true\n el.removeAttribute(\"tabindex\")\n }\n })\n\n /* Watch header height */\n header$\n .pipe(\n takeUntil(done$),\n distinctUntilKeyChanged(\"height\")\n )\n .subscribe(({ height }) => {\n el.style.top = `${height + 16}px`\n })\n\n /* Create and return component */\n return watchBackToTop(el, { viewport$, main$, target$ })\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n fromEvent,\n map,\n mergeMap,\n switchMap,\n takeWhile,\n tap,\n withLatestFrom\n} from \"rxjs\"\n\nimport { getElements } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch options\n */\ninterface PatchOptions {\n document$: Observable /* Document observable */\n tablet$: Observable /* Media tablet observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch indeterminate checkboxes\n *\n * This function replaces the indeterminate \"pseudo state\" with the actual\n * indeterminate state, which is used to keep navigation always expanded.\n *\n * @param options - Options\n */\nexport function patchIndeterminate(\n { document$, tablet$ }: PatchOptions\n): void {\n document$\n .pipe(\n switchMap(() => getElements(\n // @todo `data-md-state` is deprecated and removed in v9\n \".md-toggle--indeterminate, [data-md-state=indeterminate]\"\n )),\n tap(el => {\n el.indeterminate = true\n el.checked = false\n }),\n mergeMap(el => fromEvent(el, \"change\")\n .pipe(\n takeWhile(() => el.classList.contains(\"md-toggle--indeterminate\")),\n map(() => el)\n )\n ),\n withLatestFrom(tablet$)\n )\n .subscribe(([el, tablet]) => {\n el.classList.remove(\"md-toggle--indeterminate\")\n if (tablet)\n el.checked = false\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n filter,\n fromEvent,\n map,\n mergeMap,\n switchMap,\n tap\n} from \"rxjs\"\n\nimport { getElements } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch options\n */\ninterface PatchOptions {\n document$: Observable /* Document observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Check whether the given device is an Apple device\n *\n * @returns Test result\n */\nfunction isAppleDevice(): boolean {\n return /(iPad|iPhone|iPod)/.test(navigator.userAgent)\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch all elements with `data-md-scrollfix` attributes\n *\n * This is a year-old patch which ensures that overflow scrolling works at the\n * top and bottom of containers on iOS by ensuring a `1px` scroll offset upon\n * the start of a touch event.\n *\n * @see https://bit.ly/2SCtAOO - Original source\n *\n * @param options - Options\n */\nexport function patchScrollfix(\n { document$ }: PatchOptions\n): void {\n document$\n .pipe(\n switchMap(() => getElements(\"[data-md-scrollfix]\")),\n tap(el => el.removeAttribute(\"data-md-scrollfix\")),\n filter(isAppleDevice),\n mergeMap(el => fromEvent(el, \"touchstart\")\n .pipe(\n map(() => el)\n )\n )\n )\n .subscribe(el => {\n const top = el.scrollTop\n\n /* We're at the top of the container */\n if (top === 0) {\n el.scrollTop = 1\n\n /* We're at the bottom of the container */\n } else if (top + el.offsetHeight === el.scrollHeight) {\n el.scrollTop = top - 1\n }\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n combineLatest,\n delay,\n map,\n of,\n switchMap,\n withLatestFrom\n} from \"rxjs\"\n\nimport {\n Viewport,\n watchToggle\n} from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch options\n */\ninterface PatchOptions {\n viewport$: Observable /* Viewport observable */\n tablet$: Observable /* Media tablet observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch the document body to lock when search is open\n *\n * For mobile and tablet viewports, the search is rendered full screen, which\n * leads to scroll leaking when at the top or bottom of the search result. This\n * function locks the body when the search is in full screen mode, and restores\n * the scroll position when leaving.\n *\n * @param options - Options\n */\nexport function patchScrolllock(\n { viewport$, tablet$ }: PatchOptions\n): void {\n combineLatest([watchToggle(\"search\"), tablet$])\n .pipe(\n map(([active, tablet]) => active && !tablet),\n switchMap(active => of(active)\n .pipe(\n delay(active ? 400 : 100)\n )\n ),\n withLatestFrom(viewport$)\n )\n .subscribe(([active, { offset: { y }}]) => {\n if (active) {\n document.body.setAttribute(\"data-md-scrolllock\", \"\")\n document.body.style.top = `-${y}px`\n } else {\n const value = -1 * parseInt(document.body.style.top, 10)\n document.body.removeAttribute(\"data-md-scrolllock\")\n document.body.style.top = \"\"\n if (value)\n window.scrollTo(0, value)\n }\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Polyfills\n * ------------------------------------------------------------------------- */\n\n/* Polyfill `Object.entries` */\nif (!Object.entries)\n Object.entries = function (obj: object) {\n const data: [string, string][] = []\n for (const key of Object.keys(obj))\n // @ts-expect-error - ignore property access warning\n data.push([key, obj[key]])\n\n /* Return entries */\n return data\n }\n\n/* Polyfill `Object.values` */\nif (!Object.values)\n Object.values = function (obj: object) {\n const data: string[] = []\n for (const key of Object.keys(obj))\n // @ts-expect-error - ignore property access warning\n 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IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n NEVER,\n ReplaySubject,\n delay,\n distinctUntilChanged,\n filter,\n finalize,\n fromEvent,\n interval,\n merge,\n mergeMap,\n of,\n repeat,\n switchMap,\n take,\n takeUntil,\n tap,\n withLatestFrom\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Script\n * ------------------------------------------------------------------------- */\n\n/* Append container for instances */\nconst container = document.createElement(\"div\")\ndocument.body.appendChild(container)\n\n/* Append button next to palette toggle */\nconst header = document.querySelector(\".md-header__option\")\nif (header) {\n const button = document.createElement(\"button\")\n 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nu når og også om op os over på selv sig sin sine sit skal skulle som sådan thi til ud under var vi vil ville vor være været".split(" ")),e.Pipeline.registerFunction(e.da.stopWordFilter,"stopWordFilter-da")}}); \ No newline at end of file diff --git a/assets/javascripts/lunr/min/lunr.de.min.js b/assets/javascripts/lunr/min/lunr.de.min.js new file mode 100644 index 0000000..f3b5c10 --- /dev/null +++ b/assets/javascripts/lunr/min/lunr.de.min.js @@ -0,0 +1,18 @@ +/*! + * Lunr languages, `German` language + * https://github.com/MihaiValentin/lunr-languages + * + * Copyright 2014, Mihai Valentin + * http://www.mozilla.org/MPL/ + */ +/*! + * based on + * Snowball JavaScript Library v0.3 + * http://code.google.com/p/urim/ + * http://snowball.tartarus.org/ + * + * Copyright 2010, Oleg Mazko + * http://www.mozilla.org/MPL/ + */ + +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 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andere anderem anderen anderer anderes anderm andern anderr anders auch auf aus bei bin bis bist da damit dann das dasselbe dazu daß dein deine deinem deinen deiner deines dem demselben den denn denselben der derer derselbe derselben des desselben dessen dich die dies diese dieselbe dieselben diesem diesen dieser dieses dir doch dort du durch ein eine einem einen einer eines einig einige einigem einigen einiger einiges einmal er es etwas euch euer eure eurem euren eurer eures für gegen gewesen hab habe haben hat hatte hatten hier hin hinter ich ihm ihn ihnen ihr ihre ihrem ihren ihrer ihres im in indem ins ist jede jedem jeden jeder jedes jene jenem jenen jener jenes jetzt kann kein keine keinem keinen keiner keines können könnte machen man manche manchem manchen mancher manches mein meine meinem meinen meiner meines mich mir mit muss musste nach nicht nichts noch nun nur ob oder ohne sehr sein seine seinem seinen seiner seines selbst sich sie sind so solche solchem solchen solcher solches soll sollte sondern sonst um und uns unse unsem unsen unser unses unter viel vom von vor war waren warst was weg weil weiter welche welchem welchen welcher welches wenn werde werden wie wieder will wir wird wirst wo wollen wollte während würde würden zu zum zur zwar zwischen über".split(" ")),e.Pipeline.registerFunction(e.de.stopWordFilter,"stopWordFilter-de")}}); \ No newline at end of file diff --git a/assets/javascripts/lunr/min/lunr.du.min.js b/assets/javascripts/lunr/min/lunr.du.min.js new file mode 100644 index 0000000..49a0f3f --- /dev/null +++ b/assets/javascripts/lunr/min/lunr.du.min.js @@ -0,0 +1,18 @@ +/*! + * Lunr languages, `Dutch` language + * https://github.com/MihaiValentin/lunr-languages + * + * Copyright 2014, Mihai Valentin + * http://www.mozilla.org/MPL/ + */ +/*! + * based on + * Snowball JavaScript Library v0.3 + * http://code.google.com/p/urim/ + * http://snowball.tartarus.org/ + * + * Copyright 2010, Oleg Mazko + * http://www.mozilla.org/MPL/ + */ + +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. 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b/assets/javascripts/lunr/min/lunr.es.min.js @@ -0,0 +1,18 @@ +/*! + * Lunr languages, `Spanish` language + * https://github.com/MihaiValentin/lunr-languages + * + * Copyright 2014, Mihai Valentin + * http://www.mozilla.org/MPL/ + */ +/*! + * based on + * Snowball JavaScript Library v0.3 + * http://code.google.com/p/urim/ + * http://snowball.tartarus.org/ + * + * Copyright 2010, Oleg Mazko + * http://www.mozilla.org/MPL/ + */ + +!function(e,s){"function"==typeof define&&define.amd?define(s):"object"==typeof exports?module.exports=s():s()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. 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languages, `Italian` language + * https://github.com/MihaiValentin/lunr-languages + * + * Copyright 2014, Mihai Valentin + * http://www.mozilla.org/MPL/ + */ +/*! + * based on + * Snowball JavaScript Library v0.3 + * http://code.google.com/p/urim/ + * http://snowball.tartarus.org/ + * + * Copyright 2010, Oleg Mazko + * http://www.mozilla.org/MPL/ + */ + +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. 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avevo avrai avranno avrebbe avrebbero avrei avremmo avremo avreste avresti avrete avrà avrò avuta avute avuti avuto c che chi ci coi col come con contro cui da dagl dagli dai dal dall dalla dalle dallo degl degli dei del dell della delle dello di dov dove e ebbe ebbero ebbi ed era erano eravamo eravate eri ero essendo faccia facciamo facciano facciate faccio facemmo facendo facesse facessero facessi facessimo faceste facesti faceva facevamo facevano facevate facevi facevo fai fanno farai faranno farebbe farebbero farei faremmo faremo fareste faresti farete farà farò fece fecero feci fosse fossero fossi fossimo foste fosti fu fui fummo furono gli ha hai hanno ho i il in io l la le lei li lo loro lui ma mi mia mie miei mio ne negl negli nei nel nell nella nelle nello noi non nostra nostre nostri nostro o per perché più quale quanta quante quanti quanto quella quelle quelli quello questa queste questi questo sarai saranno sarebbe sarebbero sarei saremmo saremo sareste saresti sarete sarà sarò se sei si sia siamo siano siate siete sono sta stai stando stanno starai staranno starebbe starebbero starei staremmo staremo stareste staresti starete starà starò stava stavamo stavano stavate stavi stavo stemmo stesse stessero stessi stessimo steste stesti stette stettero stetti stia stiamo stiano stiate sto su sua sue sugl sugli sui sul sull sulla sulle sullo suo suoi ti tra tu tua tue tuo tuoi tutti tutto un una uno vi voi vostra vostre vostri vostro è".split(" ")),e.Pipeline.registerFunction(e.it.stopWordFilter,"stopWordFilter-it")}}); \ No newline at end of file diff --git a/assets/javascripts/lunr/min/lunr.ja.min.js b/assets/javascripts/lunr/min/lunr.ja.min.js new file mode 100644 index 0000000..5f254eb --- /dev/null +++ b/assets/javascripts/lunr/min/lunr.ja.min.js @@ -0,0 +1 @@ +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not 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t(){for(;!C.in_grouping(q,97,232);){if(C.cursor>=C.limit)return!0;C.cursor++}for(;!C.out_grouping(q,97,232);){if(C.cursor>=C.limit)return!0;C.cursor++}return!1}function s(){for(var r;;)if(C.bra=C.cursor,r=C.find_among(p,3))switch(C.ket=C.cursor,r){case 1:C.slice_from("y");break;case 2:C.slice_from("i");break;case 3:if(C.cursor>=C.limit)return;C.cursor++}}function u(){return _<=C.cursor}function c(){return d<=C.cursor}function a(){var r=C.limit-C.cursor;C.find_among_b(g,3)&&(C.cursor=C.limit-r,C.ket=C.cursor,C.cursor>C.limit_backward&&(C.cursor--,C.bra=C.cursor,C.slice_del()))}function l(){var r;w=!1,C.ket=C.cursor,C.eq_s_b(1,"e")&&(C.bra=C.cursor,u()&&(r=C.limit-C.cursor,C.out_grouping_b(q,97,232)&&(C.cursor=C.limit-r,C.slice_del(),w=!0,a())))}function m(){var r;u()&&(r=C.limit-C.cursor,C.out_grouping_b(q,97,232)&&(C.cursor=C.limit-r,C.eq_s_b(3,"gem")||(C.cursor=C.limit-r,C.slice_del(),a())))}function f(){var 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i;this.setCurrent=function(r){C.setCurrent(r)},this.getCurrent=function(){return C.getCurrent()},this.stem=function(){var e=C.cursor;return r(),C.cursor=e,o(),C.limit_backward=e,C.cursor=C.limit,f(),C.cursor=C.limit_backward,s(),!0}};return function(r){return"function"==typeof r.update?r.update(function(r){return n.setCurrent(r),n.stem(),n.getCurrent()}):(n.setCurrent(r),n.stem(),n.getCurrent())}}(),r.Pipeline.registerFunction(r.nl.stemmer,"stemmer-nl"),r.nl.stopWordFilter=r.generateStopWordFilter(" aan al alles als altijd andere ben bij daar dan dat de der deze die dit doch doen door dus een eens en er ge geen geweest haar had heb hebben heeft hem het hier hij hoe hun iemand iets ik in is ja je kan kon kunnen maar me meer men met mij mijn moet na naar niet niets nog nu of om omdat onder ons ook op over reeds te tegen toch toen tot u uit uw van veel voor want waren was wat werd wezen wie wil worden wordt zal ze zelf zich zij zijn zo zonder zou".split(" 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dă ea ei el ele eram este eu eşti face fata fi fie fiecare fii fim fiu fiţi frumos fără graţie halbă iar ieri la le li lor lui lângă lîngă mai mea mei mele mereu meu mi mie mine mult multă mulţi mulţumesc mâine mîine mă ne nevoie nici nicăieri nimeni nimeri nimic nişte noastre noastră noi noroc nostru nouă noştri nu opt ori oricare orice oricine oricum oricând oricât oricînd oricît oriunde patra patru patrulea pe pentru peste pic poate pot prea prima primul prin puţin puţina puţină până pînă rog sa sale sau se spate spre sub sunt suntem sunteţi sută sînt sîntem sînteţi să săi său ta tale te timp tine toate toată tot totuşi toţi trei treia treilea tu tăi tău un una unde undeva unei uneia unele uneori unii unor unora unu unui unuia unul vi voastre voastră voi vostru vouă voştri vreme vreo vreun vă zece zero zi zice îi îl îmi împotriva în înainte înaintea încotro încât încît între întrucât întrucît îţi ăla ălea ăsta ăstea ăştia şapte şase şi ştiu ţi ţie".split(" ")),e.Pipeline.registerFunction(e.ro.stopWordFilter,"stopWordFilter-ro")}}); \ No newline at end of file diff --git a/assets/javascripts/lunr/min/lunr.ru.min.js b/assets/javascripts/lunr/min/lunr.ru.min.js new file mode 100644 index 0000000..186cc48 --- /dev/null +++ b/assets/javascripts/lunr/min/lunr.ru.min.js @@ -0,0 +1,18 @@ +/*! + * Lunr languages, `Russian` language + * https://github.com/MihaiValentin/lunr-languages + * + * Copyright 2014, Mihai Valentin + * http://www.mozilla.org/MPL/ + */ +/*! + * based on + * Snowball JavaScript Library v0.3 + * http://code.google.com/p/urim/ + * http://snowball.tartarus.org/ + * + * Copyright 2010, Oleg Mazko + * http://www.mozilla.org/MPL/ + */ + +!function(e,n){"function"==typeof define&&define.amd?define(n):"object"==typeof exports?module.exports=n():n()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. 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s=this.replace_s(r,t,i);r<=this.bra&&(this.bra+=s),r<=this.ket&&(this.ket+=s)},slice_to:function(){return this.slice_check(),r.substring(this.bra,this.ket)},eq_v_b:function(r){return this.eq_s_b(r.length,r)}}}},r.trimmerSupport={generateTrimmer:function(r){var t=new RegExp("^[^"+r+"]+"),i=new RegExp("[^"+r+"]+$");return function(r){return"function"==typeof r.update?r.update(function(r){return r.replace(t,"").replace(i,"")}):r.replace(t,"").replace(i,"")}}}}}); \ No newline at end of file diff --git a/assets/javascripts/lunr/min/lunr.sv.min.js b/assets/javascripts/lunr/min/lunr.sv.min.js new file mode 100644 index 0000000..3e5eb64 --- /dev/null +++ b/assets/javascripts/lunr/min/lunr.sv.min.js @@ -0,0 +1,18 @@ +/*! + * Lunr languages, `Swedish` language + * https://github.com/MihaiValentin/lunr-languages + * + * Copyright 2014, Mihai Valentin + * http://www.mozilla.org/MPL/ + */ +/*! + * based on + * Snowball JavaScript Library v0.3 + * http://code.google.com/p/urim/ + * http://snowball.tartarus.org/ + * + * Copyright 2010, Oleg Mazko + * http://www.mozilla.org/MPL/ + */ + +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. 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r,i=Dr.limit-Dr.cursor;if(Dr.ket=Dr.cursor,nr=!0,B()&&(Dr.cursor=Dr.limit-i,D()&&(Dr.cursor=Dr.limit-i,G()&&(Dr.cursor=Dr.limit-i,H()&&(Dr.cursor=Dr.limit-i,I()))))){if(Dr.cursor=Dr.limit-i,!x())return;Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,r=Dr.limit-Dr.cursor,S()||(Dr.cursor=Dr.limit-r,W()||(Dr.cursor=Dr.limit-r,C()||(Dr.cursor=Dr.limit-r,P()||(Dr.cursor=Dr.limit-r,F()||(Dr.cursor=Dr.limit-r))))),T()||(Dr.cursor=Dr.limit-r)}Dr.bra=Dr.cursor,Dr.slice_del()}function K(){var r,i,e,n;if(Dr.ket=Dr.cursor,h()){if(r=Dr.limit-Dr.cursor,p())return 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i=Dr.limit-Dr.cursor;if(d())Dr.bra=Dr.cursor,Dr.slice_del();else if(Dr.cursor=Dr.limit-i,m())Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K());else if(Dr.cursor=Dr.limit-i,!K())return!1;return!0}function N(r){if(Dr.ket=Dr.cursor,!z()&&(Dr.cursor=Dr.limit-r,!b()))return!1;var i=Dr.limit-Dr.cursor;return!(!m()&&(Dr.cursor=Dr.limit-i,!d()))&&(Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K()),!0)}function O(){var r,i=Dr.limit-Dr.cursor;return Dr.ket=Dr.cursor,!(!w()&&(Dr.cursor=Dr.limit-i,!v()))&&(Dr.bra=Dr.cursor,Dr.slice_del(),r=Dr.limit-Dr.cursor,Dr.ket=Dr.cursor,!(!W()||(Dr.bra=Dr.cursor,Dr.slice_del(),!K()))||(Dr.cursor=Dr.limit-r,Dr.ket=Dr.cursor,!(a()||(Dr.cursor=Dr.limit-r,m()||(Dr.cursor=Dr.limit-r,K())))||(Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K()),!0)))}function Q(){var r,i,e=Dr.limit-Dr.cursor;if(Dr.ket=Dr.cursor,!p()&&(Dr.cursor=Dr.limit-e,!f()&&(Dr.cursor=Dr.limit-e,!_())))return!1;if(Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,r=Dr.limit-Dr.cursor,a())Dr.bra=Dr.cursor,Dr.slice_del(),i=Dr.limit-Dr.cursor,Dr.ket=Dr.cursor,W()||(Dr.cursor=Dr.limit-i);else if(Dr.cursor=Dr.limit-r,!W())return!0;return Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,K(),!0}function R(){var r,i,e=Dr.limit-Dr.cursor;if(Dr.ket=Dr.cursor,W())return Dr.bra=Dr.cursor,Dr.slice_del(),void K();if(Dr.cursor=Dr.limit-e,Dr.ket=Dr.cursor,q())if(Dr.bra=Dr.cursor,Dr.slice_del(),r=Dr.limit-Dr.cursor,Dr.ket=Dr.cursor,d())Dr.bra=Dr.cursor,Dr.slice_del();else{if(Dr.cursor=Dr.limit-r,Dr.ket=Dr.cursor,!a()&&(Dr.cursor=Dr.limit-r,!m())){if(Dr.cursor=Dr.limit-r,Dr.ket=Dr.cursor,!W())return;if(Dr.bra=Dr.cursor,Dr.slice_del(),!K())return}Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K())}else if(Dr.cursor=Dr.limit-e,!M(e)&&(Dr.cursor=Dr.limit-e,!N(e))){if(Dr.cursor=Dr.limit-e,Dr.ket=Dr.cursor,y())return Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,i=Dr.limit-Dr.cursor,void(a()?(Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K())):(Dr.cursor=Dr.limit-i,W()?(Dr.bra=Dr.cursor,Dr.slice_del(),K()):(Dr.cursor=Dr.limit-i,K())));if(Dr.cursor=Dr.limit-e,!O()){if(Dr.cursor=Dr.limit-e,d())return Dr.bra=Dr.cursor,void Dr.slice_del();Dr.cursor=Dr.limit-e,K()||(Dr.cursor=Dr.limit-e,Q()||(Dr.cursor=Dr.limit-e,Dr.ket=Dr.cursor,(a()||(Dr.cursor=Dr.limit-e,m()))&&(Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K()))))}}}function U(){var r;if(Dr.ket=Dr.cursor,r=Dr.find_among_b(Sr,4))switch(Dr.bra=Dr.cursor,r){case 1:Dr.slice_from("p");break;case 2:Dr.slice_from("ç");break;case 3:Dr.slice_from("t");break;case 4:Dr.slice_from("k")}}function V(){for(;;){var r=Dr.limit-Dr.cursor;if(Dr.in_grouping_b(Wr,97,305)){Dr.cursor=Dr.limit-r;break}if(Dr.cursor=Dr.limit-r,Dr.cursor<=Dr.limit_backward)return!1;Dr.cursor--}return!0}function X(r,i,e){if(Dr.cursor=Dr.limit-r,V()){var n=Dr.limit-Dr.cursor;if(!Dr.eq_s_b(1,i)&&(Dr.cursor=Dr.limit-n,!Dr.eq_s_b(1,e)))return!0;Dr.cursor=Dr.limit-r;var t=Dr.cursor;return Dr.insert(Dr.cursor,Dr.cursor,e),Dr.cursor=t,!1}return!0}function Y(){var r=Dr.limit-Dr.cursor;(Dr.eq_s_b(1,"d")||(Dr.cursor=Dr.limit-r,Dr.eq_s_b(1,"g")))&&X(r,"a","ı")&&X(r,"e","i")&&X(r,"o","u")&&X(r,"ö","ü")}function $(){for(var r,i=Dr.cursor,e=2;;){for(r=Dr.cursor;!Dr.in_grouping(Wr,97,305);){if(Dr.cursor>=Dr.limit)return Dr.cursor=r,!(e>0)&&(Dr.cursor=i,!0);Dr.cursor++}e--}}function rr(r,i,e){for(;!Dr.eq_s(i,e);){if(Dr.cursor>=Dr.limit)return!0;Dr.cursor++}return(tr=i)!=Dr.limit||(Dr.cursor=r,!1)}function ir(){var r=Dr.cursor;return!rr(r,2,"ad")||(Dr.cursor=r,!rr(r,5,"soyad"))}function er(){var r=Dr.cursor;return!ir()&&(Dr.limit_backward=r,Dr.cursor=Dr.limit,Y(),Dr.cursor=Dr.limit,U(),!0)}var nr,tr,ur=[new i("m",-1,-1),new i("n",-1,-1),new i("miz",-1,-1),new i("niz",-1,-1),new i("muz",-1,-1),new i("nuz",-1,-1),new i("müz",-1,-1),new i("nüz",-1,-1),new i("mız",-1,-1),new i("nız",-1,-1)],or=[new i("leri",-1,-1),new i("ları",-1,-1)],sr=[new i("ni",-1,-1),new i("nu",-1,-1),new i("nü",-1,-1),new i("nı",-1,-1)],cr=[new i("in",-1,-1),new i("un",-1,-1),new i("ün",-1,-1),new i("ın",-1,-1)],lr=[new i("a",-1,-1),new i("e",-1,-1)],ar=[new i("na",-1,-1),new i("ne",-1,-1)],mr=[new i("da",-1,-1),new i("ta",-1,-1),new i("de",-1,-1),new i("te",-1,-1)],dr=[new i("nda",-1,-1),new i("nde",-1,-1)],fr=[new i("dan",-1,-1),new i("tan",-1,-1),new i("den",-1,-1),new i("ten",-1,-1)],br=[new i("ndan",-1,-1),new i("nden",-1,-1)],wr=[new i("la",-1,-1),new i("le",-1,-1)],_r=[new i("ca",-1,-1),new i("ce",-1,-1)],kr=[new i("im",-1,-1),new i("um",-1,-1),new i("üm",-1,-1),new i("ım",-1,-1)],pr=[new i("sin",-1,-1),new i("sun",-1,-1),new i("sün",-1,-1),new i("sın",-1,-1)],gr=[new i("iz",-1,-1),new i("uz",-1,-1),new i("üz",-1,-1),new i("ız",-1,-1)],yr=[new i("siniz",-1,-1),new i("sunuz",-1,-1),new i("sünüz",-1,-1),new i("sınız",-1,-1)],zr=[new i("lar",-1,-1),new i("ler",-1,-1)],vr=[new i("niz",-1,-1),new i("nuz",-1,-1),new i("nüz",-1,-1),new i("nız",-1,-1)],hr=[new i("dir",-1,-1),new i("tir",-1,-1),new i("dur",-1,-1),new i("tur",-1,-1),new i("dür",-1,-1),new i("tür",-1,-1),new i("dır",-1,-1),new i("tır",-1,-1)],qr=[new i("casına",-1,-1),new i("cesine",-1,-1)],Cr=[new i("di",-1,-1),new i("ti",-1,-1),new i("dik",-1,-1),new i("tik",-1,-1),new i("duk",-1,-1),new i("tuk",-1,-1),new i("dük",-1,-1),new i("tük",-1,-1),new i("dık",-1,-1),new i("tık",-1,-1),new i("dim",-1,-1),new i("tim",-1,-1),new i("dum",-1,-1),new i("tum",-1,-1),new i("düm",-1,-1),new i("tüm",-1,-1),new i("dım",-1,-1),new i("tım",-1,-1),new i("din",-1,-1),new i("tin",-1,-1),new i("dun",-1,-1),new i("tun",-1,-1),new i("dün",-1,-1),new i("tün",-1,-1),new i("dın",-1,-1),new i("tın",-1,-1),new i("du",-1,-1),new i("tu",-1,-1),new i("dü",-1,-1),new i("tü",-1,-1),new i("dı",-1,-1),new i("tı",-1,-1)],Pr=[new i("sa",-1,-1),new i("se",-1,-1),new i("sak",-1,-1),new i("sek",-1,-1),new i("sam",-1,-1),new i("sem",-1,-1),new i("san",-1,-1),new i("sen",-1,-1)],Fr=[new i("miş",-1,-1),new i("muş",-1,-1),new i("müş",-1,-1),new i("mış",-1,-1)],Sr=[new i("b",-1,1),new i("c",-1,2),new i("d",-1,3),new i("ğ",-1,4)],Wr=[17,65,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,32,8,0,0,0,0,0,0,1],Lr=[1,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8,0,0,0,0,0,0,1],xr=[1,64,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1],Ar=[17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,130],Er=[1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1],jr=[17],Tr=[65],Zr=[65],Br=[["a",xr,97,305],["e",Ar,101,252],["ı",Er,97,305],["i",jr,101,105],["o",Tr,111,117],["ö",Zr,246,252],["u",Tr,111,117]],Dr=new e;this.setCurrent=function(r){Dr.setCurrent(r)},this.getCurrent=function(){return Dr.getCurrent()},this.stem=function(){return!!($()&&(Dr.limit_backward=Dr.cursor,Dr.cursor=Dr.limit,J(),Dr.cursor=Dr.limit,nr&&(R(),Dr.cursor=Dr.limit_backward,er())))}};return function(r){return"function"==typeof r.update?r.update(function(r){return n.setCurrent(r),n.stem(),n.getCurrent()}):(n.setCurrent(r),n.stem(),n.getCurrent())}}(),r.Pipeline.registerFunction(r.tr.stemmer,"stemmer-tr"),r.tr.stopWordFilter=r.generateStopWordFilter("acaba altmış altı ama ancak arada aslında ayrıca bana bazı belki ben benden beni benim beri beş bile bin bir biri birkaç birkez birçok birşey birşeyi biz bizden bize bizi bizim bu buna bunda bundan bunlar bunları bunların bunu bunun burada böyle böylece da daha dahi de defa değil diye diğer doksan dokuz dolayı dolayısıyla dört edecek eden ederek edilecek ediliyor edilmesi ediyor elli en etmesi etti ettiği ettiğini eğer gibi göre halen hangi hatta hem henüz hep hepsi her herhangi herkesin hiç hiçbir iki ile ilgili ise itibaren itibariyle için işte kadar karşın katrilyon kendi kendilerine kendini kendisi kendisine kendisini kez ki kim kimden kime kimi kimse kırk milyar milyon mu mü mı nasıl ne neden nedenle nerde nerede nereye niye niçin o olan olarak oldu olduklarını olduğu olduğunu olmadı olmadığı olmak olması olmayan olmaz olsa olsun olup olur olursa oluyor on ona ondan onlar onlardan onları onların onu onun otuz oysa pek rağmen sadece sanki sekiz seksen sen senden seni senin siz sizden sizi sizin tarafından trilyon tüm var vardı ve veya ya yani yapacak yapmak yaptı yaptıkları yaptığı yaptığını yapılan yapılması yapıyor yedi yerine yetmiş yine yirmi yoksa yüz zaten çok çünkü öyle üzere üç şey şeyden şeyi şeyler şu şuna şunda şundan şunları şunu şöyle".split(" ")),r.Pipeline.registerFunction(r.tr.stopWordFilter,"stopWordFilter-tr")}}); \ No newline at end of file diff --git a/assets/javascripts/lunr/min/lunr.vi.min.js b/assets/javascripts/lunr/min/lunr.vi.min.js new file mode 100644 index 0000000..22aed28 --- /dev/null +++ b/assets/javascripts/lunr/min/lunr.vi.min.js @@ -0,0 +1 @@ +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.vi=function(){this.pipeline.reset(),this.pipeline.add(e.vi.stopWordFilter,e.vi.trimmer)},e.vi.wordCharacters="[A-Za-ẓ̀͐́͑̉̃̓ÂâÊêÔôĂ-ăĐ-đƠ-ơƯ-ư]",e.vi.trimmer=e.trimmerSupport.generateTrimmer(e.vi.wordCharacters),e.Pipeline.registerFunction(e.vi.trimmer,"trimmer-vi"),e.vi.stopWordFilter=e.generateStopWordFilter("là cái nhưng mà".split(" "))}}); \ No newline at end of file diff --git a/assets/javascripts/lunr/min/lunr.zh.min.js b/assets/javascripts/lunr/min/lunr.zh.min.js new file mode 100644 index 0000000..9838ef9 --- /dev/null +++ b/assets/javascripts/lunr/min/lunr.zh.min.js @@ -0,0 +1 @@ +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r(require("@node-rs/jieba")):r()(e.lunr)}(this,function(e){return function(r,t){if(void 0===r)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===r.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");var i="2"==r.version[0];r.zh=function(){this.pipeline.reset(),this.pipeline.add(r.zh.trimmer,r.zh.stopWordFilter,r.zh.stemmer),i?this.tokenizer=r.zh.tokenizer:(r.tokenizer&&(r.tokenizer=r.zh.tokenizer),this.tokenizerFn&&(this.tokenizerFn=r.zh.tokenizer))},r.zh.tokenizer=function(n){if(!arguments.length||null==n||void 0==n)return[];if(Array.isArray(n))return n.map(function(e){return i?new r.Token(e.toLowerCase()):e.toLowerCase()});t&&e.load(t);var o=n.toString().trim().toLowerCase(),s=[];e.cut(o,!0).forEach(function(e){s=s.concat(e.split(" "))}),s=s.filter(function(e){return!!e});var u=0;return s.map(function(e,t){if(i){var n=o.indexOf(e,u),s={};return s.position=[n,e.length],s.index=t,u=n,new r.Token(e,s)}return e})},r.zh.wordCharacters="\\w一-龥",r.zh.trimmer=r.trimmerSupport.generateTrimmer(r.zh.wordCharacters),r.Pipeline.registerFunction(r.zh.trimmer,"trimmer-zh"),r.zh.stemmer=function(){return function(e){return e}}(),r.Pipeline.registerFunction(r.zh.stemmer,"stemmer-zh"),r.zh.stopWordFilter=r.generateStopWordFilter("的 一 不 在 人 有 是 为 以 于 上 他 而 后 之 来 及 了 因 下 可 到 由 这 与 也 此 但 并 个 其 已 无 小 我 们 起 最 再 今 去 好 只 又 或 很 亦 某 把 那 你 乃 它 吧 被 比 别 趁 当 从 到 得 打 凡 儿 尔 该 各 给 跟 和 何 还 即 几 既 看 据 距 靠 啦 了 另 么 每 们 嘛 拿 哪 那 您 凭 且 却 让 仍 啥 如 若 使 谁 虽 随 同 所 她 哇 嗡 往 哪 些 向 沿 哟 用 于 咱 则 怎 曾 至 致 着 诸 自".split(" ")),r.Pipeline.registerFunction(r.zh.stopWordFilter,"stopWordFilter-zh")}}); \ No newline at end of file diff --git a/assets/javascripts/lunr/tinyseg.js b/assets/javascripts/lunr/tinyseg.js new file mode 100644 index 0000000..167fa6d --- /dev/null +++ b/assets/javascripts/lunr/tinyseg.js @@ -0,0 +1,206 @@ +/** + * export the module via AMD, CommonJS or as a browser global + * Export code from https://github.com/umdjs/umd/blob/master/returnExports.js + */ +;(function (root, factory) { + if (typeof define === 'function' && define.amd) { + // AMD. Register as an anonymous module. + define(factory) + } else if (typeof exports === 'object') { + /** + * Node. Does not work with strict CommonJS, but + * only CommonJS-like environments that support module.exports, + * like Node. + */ + module.exports = factory() + } else { + // Browser globals (root is window) + factory()(root.lunr); + } +}(this, function () { + /** + * Just return a value to define the module export. + * This example returns an object, but the module + * can return a function as the exported value. + */ + + return function(lunr) { + // TinySegmenter 0.1 -- Super compact Japanese tokenizer in Javascript + // (c) 2008 Taku Kudo + // TinySegmenter is freely distributable under the terms of a new BSD licence. + // For details, see http://chasen.org/~taku/software/TinySegmenter/LICENCE.txt + + function TinySegmenter() { + var patterns = { + "[一二三四五六七八九十百千万億兆]":"M", + "[一-龠々〆ヵヶ]":"H", + "[ぁ-ん]":"I", + "[ァ-ヴーｱ-ﾝﾞｰ]":"K", + "[a-zA-Zａ-ｚＡ-Ｚ]":"A", + "[0-9０-９]":"N" + } + this.chartype_ = []; + for (var i in patterns) { + var regexp = new RegExp(i); + this.chartype_.push([regexp, patterns[i]]); + } + + this.BIAS__ = -332 + this.BC1__ = {"HH":6,"II":2461,"KH":406,"OH":-1378}; + this.BC2__ = {"AA":-3267,"AI":2744,"AN":-878,"HH":-4070,"HM":-1711,"HN":4012,"HO":3761,"IA":1327,"IH":-1184,"II":-1332,"IK":1721,"IO":5492,"KI":3831,"KK":-8741,"MH":-3132,"MK":3334,"OO":-2920}; + this.BC3__ = {"HH":996,"HI":626,"HK":-721,"HN":-1307,"HO":-836,"IH":-301,"KK":2762,"MK":1079,"MM":4034,"OA":-1652,"OH":266}; + this.BP1__ = {"BB":295,"OB":304,"OO":-125,"UB":352}; + this.BP2__ = {"BO":60,"OO":-1762}; + this.BQ1__ = {"BHH":1150,"BHM":1521,"BII":-1158,"BIM":886,"BMH":1208,"BNH":449,"BOH":-91,"BOO":-2597,"OHI":451,"OIH":-296,"OKA":1851,"OKH":-1020,"OKK":904,"OOO":2965}; + this.BQ2__ = {"BHH":118,"BHI":-1159,"BHM":466,"BIH":-919,"BKK":-1720,"BKO":864,"OHH":-1139,"OHM":-181,"OIH":153,"UHI":-1146}; + this.BQ3__ = {"BHH":-792,"BHI":2664,"BII":-299,"BKI":419,"BMH":937,"BMM":8335,"BNN":998,"BOH":775,"OHH":2174,"OHM":439,"OII":280,"OKH":1798,"OKI":-793,"OKO":-2242,"OMH":-2402,"OOO":11699}; + this.BQ4__ = {"BHH":-3895,"BIH":3761,"BII":-4654,"BIK":1348,"BKK":-1806,"BMI":-3385,"BOO":-12396,"OAH":926,"OHH":266,"OHK":-2036,"ONN":-973}; 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+ + return this; + } + TinySegmenter.prototype.ctype_ = function(str) { + for (var i in this.chartype_) { + if (str.match(this.chartype_[i][0])) { + return this.chartype_[i][1]; + } + } + return "O"; + } + + TinySegmenter.prototype.ts_ = function(v) { + if (v) { return v; } + return 0; + } + + TinySegmenter.prototype.segment = function(input) { + if (input == null || input == undefined || input == "") { + return []; + } + var result = []; + var seg = ["B3","B2","B1"]; + var ctype = ["O","O","O"]; + var o = input.split(""); + for (i = 0; i < o.length; ++i) { + seg.push(o[i]); + ctype.push(this.ctype_(o[i])) + } + seg.push("E1"); + seg.push("E2"); + seg.push("E3"); + ctype.push("O"); + ctype.push("O"); + ctype.push("O"); + var word = seg[3]; + var p1 = "U"; + var p2 = "U"; + var p3 = "U"; + for (var i = 4; i < seg.length - 3; ++i) { + var score = this.BIAS__; + var w1 = seg[i-3]; + var w2 = seg[i-2]; + var w3 = seg[i-1]; + var w4 = seg[i]; + var w5 = seg[i+1]; + var w6 = seg[i+2]; + var c1 = ctype[i-3]; + var c2 = ctype[i-2]; + var c3 = ctype[i-1]; + var c4 = ctype[i]; + var c5 = ctype[i+1]; + var c6 = ctype[i+2]; + score += this.ts_(this.UP1__[p1]); + score += this.ts_(this.UP2__[p2]); + score += this.ts_(this.UP3__[p3]); + score += this.ts_(this.BP1__[p1 + p2]); + score += this.ts_(this.BP2__[p2 + p3]); + score += this.ts_(this.UW1__[w1]); + score += this.ts_(this.UW2__[w2]); + score += this.ts_(this.UW3__[w3]); + score += this.ts_(this.UW4__[w4]); + score += this.ts_(this.UW5__[w5]); + score += this.ts_(this.UW6__[w6]); + score += this.ts_(this.BW1__[w2 + w3]); + score += this.ts_(this.BW2__[w3 + w4]); + score += this.ts_(this.BW3__[w4 + w5]); + score += this.ts_(this.TW1__[w1 + w2 + w3]); + score += this.ts_(this.TW2__[w2 + w3 + w4]); + score += this.ts_(this.TW3__[w3 + w4 + w5]); + score += this.ts_(this.TW4__[w4 + w5 + w6]); + score += this.ts_(this.UC1__[c1]); + score += this.ts_(this.UC2__[c2]); + score += this.ts_(this.UC3__[c3]); + score += this.ts_(this.UC4__[c4]); + score += this.ts_(this.UC5__[c5]); + score += this.ts_(this.UC6__[c6]); + score += this.ts_(this.BC1__[c2 + c3]); + score += this.ts_(this.BC2__[c3 + c4]); + score += this.ts_(this.BC3__[c4 + c5]); + score += this.ts_(this.TC1__[c1 + c2 + c3]); + score += this.ts_(this.TC2__[c2 + c3 + c4]); + score += this.ts_(this.TC3__[c3 + c4 + c5]); + score += this.ts_(this.TC4__[c4 + c5 + c6]); + // score += this.ts_(this.TC5__[c4 + c5 + c6]); + score += this.ts_(this.UQ1__[p1 + c1]); + score += this.ts_(this.UQ2__[p2 + c2]); + score += this.ts_(this.UQ3__[p3 + c3]); + score += this.ts_(this.BQ1__[p2 + c2 + c3]); + score += this.ts_(this.BQ2__[p2 + c3 + c4]); + score += this.ts_(this.BQ3__[p3 + c2 + c3]); + score += this.ts_(this.BQ4__[p3 + c3 + c4]); + score += this.ts_(this.TQ1__[p2 + c1 + c2 + c3]); + score += this.ts_(this.TQ2__[p2 + c2 + c3 + c4]); + score += this.ts_(this.TQ3__[p3 + c1 + c2 + c3]); + score += this.ts_(this.TQ4__[p3 + c2 + c3 + c4]); + var p = "O"; + if (score > 0) { + result.push(word); + word = ""; + p = "B"; + } + p1 = p2; + p2 = p3; + p3 = p; + word += seg[i]; + } + result.push(word); + + return result; + } + + lunr.TinySegmenter = TinySegmenter; + }; + +})); \ No newline at end of file diff --git a/assets/javascripts/lunr/wordcut.js b/assets/javascripts/lunr/wordcut.js new file mode 100644 index 0000000..146f4b4 --- /dev/null +++ b/assets/javascripts/lunr/wordcut.js @@ -0,0 +1,6708 @@ +(function(f){if(typeof exports==="object"&&typeof module!=="undefined"){module.exports=f()}else if(typeof define==="function"&&define.amd){define([],f)}else{var g;if(typeof window!=="undefined"){g=window}else if(typeof global!=="undefined"){g=global}else if(typeof self!=="undefined"){g=self}else{g=this}(g.lunr || (g.lunr = {})).wordcut = f()}})(function(){var define,module,exports;return (function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error("Cannot find module '"+o+"'");throw f.code="MODULE_NOT_FOUND",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;o 1; + }) + this.addWords(words, false) + } + if(finalize){ + this.finalizeDict(); + } + }, + + dictSeek: function (l, r, ch, strOffset, pos) { + var ans = null; + while (l <= r) { + var m = Math.floor((l + r) / 2), + dict_item = this.dict[m], + len = dict_item.length; + if (len <= strOffset) { + l = m + 1; + } else { + var ch_ = dict_item[strOffset]; + if (ch_ < ch) { + l = m + 1; + } else if (ch_ > ch) { + r = m - 1; + } else { + ans = m; + if (pos == LEFT) { + r = m - 1; + } else { + l = m + 1; + } + } + } + } + return ans; + }, + + isFinal: function (acceptor) { + return this.dict[acceptor.l].length == acceptor.strOffset; + }, + + createAcceptor: function () { + return { + l: 0, + r: this.dict.length - 1, + strOffset: 0, + isFinal: false, + dict: this, + transit: function (ch) { + return this.dict.transit(this, ch); + }, + isError: false, + tag: "DICT", + w: 1, + type: "DICT" + }; + }, + + transit: function (acceptor, ch) { + var l = this.dictSeek(acceptor.l, + acceptor.r, + ch, + acceptor.strOffset, + LEFT); + if (l !== null) { + var r = this.dictSeek(l, + acceptor.r, + ch, + acceptor.strOffset, + RIGHT); + acceptor.l = l; + acceptor.r = r; + acceptor.strOffset++; + acceptor.isFinal = this.isFinal(acceptor); + } else { + acceptor.isError = true; + } + return acceptor; + }, + + sortuniq: function(a){ + return a.sort().filter(function(item, pos, arr){ + return !pos || item != arr[pos - 1]; + }) + }, + + flatten: function(a){ + //[[1,2],[3]] -> [1,2,3] + return [].concat.apply([], a); + } +}; +module.exports = WordcutDict; + +}).call(this,"/dist/tmp") +},{"glob":16,"path":22}],3:[function(require,module,exports){ +var WordRule = { + createAcceptor: function(tag) { + if (tag["WORD_RULE"]) + return null; + + return {strOffset: 0, + isFinal: false, + transit: function(ch) { + var lch = ch.toLowerCase(); + if (lch >= "a" && lch <= "z") { + this.isFinal = true; + this.strOffset++; + } else { + this.isError = true; + } + return this; + }, + isError: false, + tag: "WORD_RULE", + type: "WORD_RULE", + w: 1}; + } +}; + +var NumberRule = { + createAcceptor: function(tag) { + if (tag["NUMBER_RULE"]) + return null; + + return {strOffset: 0, + isFinal: false, + transit: function(ch) { + if (ch >= "0" && ch <= "9") { + this.isFinal = true; + this.strOffset++; + } else { + this.isError = true; + } + return this; + }, + isError: false, + tag: "NUMBER_RULE", + type: "NUMBER_RULE", + w: 1}; + } +}; + +var SpaceRule = { + tag: "SPACE_RULE", + createAcceptor: function(tag) { + + if (tag["SPACE_RULE"]) + return null; + + return {strOffset: 0, + isFinal: false, + transit: function(ch) { + if (ch == " " || ch == "\t" || ch == "\r" || ch == "\n" || + ch == "\u00A0" || ch=="\u2003"//nbsp and emsp + ) { + this.isFinal = true; + this.strOffset++; + } else { + this.isError = true; + } + return this; + }, + isError: false, + tag: SpaceRule.tag, + w: 1, + type: "SPACE_RULE"}; + } +} + +var SingleSymbolRule = { + tag: "SINSYM", + createAcceptor: function(tag) { + return {strOffset: 0, + isFinal: false, + transit: function(ch) { + if (this.strOffset == 0 && ch.match(/^[\@\(\)\/\,\-\."`]$/)) { + this.isFinal = true; + this.strOffset++; + } else { + this.isError = true; + } + return this; + }, + isError: false, + tag: "SINSYM", + w: 1, + type: "SINSYM"}; + } +} + + +var LatinRules = [WordRule, SpaceRule, SingleSymbolRule, NumberRule]; + +module.exports = LatinRules; + +},{}],4:[function(require,module,exports){ +var _ = require("underscore") + , WordcutCore = require("./wordcut_core"); +var PathInfoBuilder = { + + /* + buildByPartAcceptors: function(path, acceptors, i) { + var + var genInfos = partAcceptors.reduce(function(genInfos, acceptor) { + + }, []); + + return genInfos; + } + */ + + buildByAcceptors: function(path, finalAcceptors, i) { + var self = this; + var infos = finalAcceptors.map(function(acceptor) { + var p = i - acceptor.strOffset + 1 + , _info = path[p]; + + var info = {p: p, + mw: _info.mw + (acceptor.mw === undefined ? 0 : acceptor.mw), + w: acceptor.w + _info.w, + unk: (acceptor.unk ? acceptor.unk : 0) + _info.unk, + type: acceptor.type}; + + if (acceptor.type == "PART") { + for(var j = p + 1; j <= i; j++) { + path[j].merge = p; + } + info.merge = p; + } + + return info; + }); + return infos.filter(function(info) { return info; }); + }, + + fallback: function(path, leftBoundary, text, i) { + var _info = path[leftBoundary]; + if (text[i].match(/[\u0E48-\u0E4E]/)) { + if (leftBoundary != 0) + leftBoundary = path[leftBoundary].p; + return {p: leftBoundary, + mw: 0, + w: 1 + _info.w, + unk: 1 + _info.unk, + type: "UNK"}; +/* } else if(leftBoundary > 0 && path[leftBoundary].type !== "UNK") { + leftBoundary = path[leftBoundary].p; + return {p: leftBoundary, + w: 1 + _info.w, + unk: 1 + _info.unk, + type: "UNK"}; */ + } else { + return {p: leftBoundary, + mw: _info.mw, + w: 1 + _info.w, + unk: 1 + _info.unk, + type: "UNK"}; + } + }, + + build: function(path, finalAcceptors, i, leftBoundary, text) { + var basicPathInfos = this.buildByAcceptors(path, finalAcceptors, i); + if (basicPathInfos.length > 0) { + return basicPathInfos; + } else { + return [this.fallback(path, leftBoundary, text, i)]; + } + } +}; + +module.exports = function() { + return _.clone(PathInfoBuilder); +} + +},{"./wordcut_core":8,"underscore":25}],5:[function(require,module,exports){ +var _ = require("underscore"); + + +var PathSelector = { + selectPath: function(paths) { + var path = paths.reduce(function(selectedPath, path) { + if (selectedPath == null) { + return path; + } else { + if (path.unk < selectedPath.unk) + return path; + if (path.unk == selectedPath.unk) { + if (path.mw < selectedPath.mw) + return path + if (path.mw == selectedPath.mw) { + if (path.w < selectedPath.w) + return path; + } + } + return selectedPath; + } + }, null); + return path; + }, + + createPath: function() { + return [{p:null, w:0, unk:0, type: "INIT", mw:0}]; + } +}; + +module.exports = function() { + return _.clone(PathSelector); +}; + +},{"underscore":25}],6:[function(require,module,exports){ +function isMatch(pat, offset, ch) { + if (pat.length <= offset) + return false; + var _ch = pat[offset]; + return _ch == ch || + (_ch.match(/[กข]/) && ch.match(/[ก-ฮ]/)) || + (_ch.match(/[มบ]/) && ch.match(/[ก-ฮ]/)) || + (_ch.match(/\u0E49/) && ch.match(/[\u0E48-\u0E4B]/)); +} + +var Rule0 = { + pat: "เหก็ม", + createAcceptor: function(tag) { + return {strOffset: 0, + isFinal: false, + transit: function(ch) { + if (isMatch(Rule0.pat, this.strOffset,ch)) { + this.isFinal = (this.strOffset + 1 == Rule0.pat.length); + this.strOffset++; + } else { + this.isError = true; + } + return this; + }, + isError: false, + tag: "THAI_RULE", + type: "THAI_RULE", + w: 1}; + } +}; + +var PartRule = { + createAcceptor: function(tag) { + return {strOffset: 0, + patterns: [ + "แก", "เก", "ก้", "กก์", "กา", "กี", "กิ", "กืก" + ], + isFinal: false, + transit: function(ch) { + var offset = this.strOffset; + this.patterns = this.patterns.filter(function(pat) { + return isMatch(pat, offset, ch); + }); + + if (this.patterns.length > 0) { + var len = 1 + offset; + this.isFinal = this.patterns.some(function(pat) { + return pat.length == len; + }); + this.strOffset++; + } else { + this.isError = true; + } + return this; + }, + isError: false, + tag: "PART", + type: "PART", + unk: 1, + w: 1}; + } +}; + +var ThaiRules = [Rule0, PartRule]; + +module.exports = ThaiRules; + +},{}],7:[function(require,module,exports){ +var sys = require("sys") + , WordcutDict = require("./dict") + , WordcutCore = require("./wordcut_core") + , PathInfoBuilder = require("./path_info_builder") + , PathSelector = require("./path_selector") + , Acceptors = require("./acceptors") + , latinRules = require("./latin_rules") + , thaiRules = require("./thai_rules") + , _ = require("underscore"); + + +var Wordcut = Object.create(WordcutCore); +Wordcut.defaultPathInfoBuilder = PathInfoBuilder; +Wordcut.defaultPathSelector = PathSelector; +Wordcut.defaultAcceptors = Acceptors; +Wordcut.defaultLatinRules = latinRules; +Wordcut.defaultThaiRules = thaiRules; +Wordcut.defaultDict = WordcutDict; + + +Wordcut.initNoDict = function(dict_path) { + var self = this; + self.pathInfoBuilder = new self.defaultPathInfoBuilder; + self.pathSelector = new self.defaultPathSelector; + self.acceptors = new self.defaultAcceptors; + self.defaultLatinRules.forEach(function(rule) { + self.acceptors.creators.push(rule); + }); + self.defaultThaiRules.forEach(function(rule) { + self.acceptors.creators.push(rule); + }); +}; + +Wordcut.init = function(dict_path, withDefault, additionalWords) { + withDefault = withDefault || false; + this.initNoDict(); + var dict = _.clone(this.defaultDict); + dict.init(dict_path, withDefault, additionalWords); + this.acceptors.creators.push(dict); +}; + +module.exports = Wordcut; + +},{"./acceptors":1,"./dict":2,"./latin_rules":3,"./path_info_builder":4,"./path_selector":5,"./thai_rules":6,"./wordcut_core":8,"sys":28,"underscore":25}],8:[function(require,module,exports){ +var WordcutCore = { + + buildPath: function(text) { + var self = this + , path = self.pathSelector.createPath() + , leftBoundary = 0; + self.acceptors.reset(); + for (var i = 0; i < text.length; i++) { + var ch = text[i]; + self.acceptors.transit(ch); + + var possiblePathInfos = self + .pathInfoBuilder + .build(path, + self.acceptors.getFinalAcceptors(), + i, + leftBoundary, + text); + var selectedPath = self.pathSelector.selectPath(possiblePathInfos) + + path.push(selectedPath); + if (selectedPath.type !== "UNK") { + leftBoundary = i; + } + } + return path; + }, + + pathToRanges: function(path) { + var e = path.length - 1 + , ranges = []; + + while (e > 0) { + var info = path[e] + , s = info.p; + + if (info.merge !== undefined && ranges.length > 0) { + var r = ranges[ranges.length - 1]; + r.s = info.merge; + s = r.s; + } else { + ranges.push({s:s, e:e}); + } + e = s; + } + return ranges.reverse(); + }, + + rangesToText: function(text, ranges, delimiter) { + return ranges.map(function(r) { + return text.substring(r.s, r.e); + }).join(delimiter); + }, + + cut: function(text, delimiter) { + var path = this.buildPath(text) + , ranges = this.pathToRanges(path); + return this + .rangesToText(text, ranges, + (delimiter === undefined ? "|" : delimiter)); + }, + + cutIntoRanges: function(text, noText) { + var path = this.buildPath(text) + , ranges = this.pathToRanges(path); + + if (!noText) { + ranges.forEach(function(r) { + r.text = text.substring(r.s, r.e); + }); + } + return ranges; + }, + + cutIntoArray: function(text) { + var path = this.buildPath(text) + , ranges = this.pathToRanges(path); + + return ranges.map(function(r) { + return text.substring(r.s, r.e) + }); + } +}; + +module.exports = WordcutCore; + +},{}],9:[function(require,module,exports){ +// http://wiki.commonjs.org/wiki/Unit_Testing/1.0 +// +// THIS IS NOT TESTED NOR LIKELY TO WORK OUTSIDE V8! +// +// Originally from narwhal.js (http://narwhaljs.org) +// Copyright (c) 2009 Thomas Robinson <280north.com> +// +// Permission is hereby granted, free of charge, to any person obtaining a copy +// of this software and associated documentation files (the 'Software'), to +// deal in the Software without restriction, including without limitation the +// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or +// sell copies of the Software, and to permit persons to whom the Software is +// furnished to do so, subject to the following conditions: +// +// The above copyright notice and this permission notice shall be included in +// all copies or substantial portions of the Software. +// +// THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +// AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN +// ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +// WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +// when used in node, this will actually load the util module we depend on +// versus loading the builtin util module as happens otherwise +// this is a bug in node module loading as far as I am concerned +var util = require('util/'); + +var pSlice = Array.prototype.slice; +var hasOwn = Object.prototype.hasOwnProperty; + +// 1. The assert module provides functions that throw +// AssertionError's when particular conditions are not met. The +// assert module must conform to the following interface. + +var assert = module.exports = ok; + +// 2. The AssertionError is defined in assert. +// new assert.AssertionError({ message: message, +// actual: actual, +// expected: expected }) + +assert.AssertionError = function AssertionError(options) { + this.name = 'AssertionError'; + this.actual = options.actual; + this.expected = options.expected; + this.operator = options.operator; + if (options.message) { + this.message = options.message; + this.generatedMessage = false; + } else { + this.message = getMessage(this); + this.generatedMessage = true; + } + var stackStartFunction = options.stackStartFunction || fail; + + if (Error.captureStackTrace) { + Error.captureStackTrace(this, stackStartFunction); + } + else { + // non v8 browsers so we can have a stacktrace + var err = new Error(); + if (err.stack) { + var out = err.stack; + + // try to strip useless frames + var fn_name = stackStartFunction.name; + var idx = out.indexOf('\n' + fn_name); + if (idx >= 0) { + // once we have located the function frame + // we need to strip out everything before it (and its line) + var next_line = out.indexOf('\n', idx + 1); + out = out.substring(next_line + 1); + } + + this.stack = out; + } + } +}; + +// assert.AssertionError instanceof Error +util.inherits(assert.AssertionError, Error); + +function replacer(key, value) { + if (util.isUndefined(value)) { + return '' + value; + } + if (util.isNumber(value) && !isFinite(value)) { + return value.toString(); + } + if (util.isFunction(value) || util.isRegExp(value)) { + return value.toString(); + } + return value; +} + +function truncate(s, n) { + if (util.isString(s)) { + return s.length < n ? s : s.slice(0, n); + } else { + return s; + } +} + +function getMessage(self) { + return truncate(JSON.stringify(self.actual, replacer), 128) + ' ' + + self.operator + ' ' + + truncate(JSON.stringify(self.expected, replacer), 128); +} + +// At present only the three keys mentioned above are used and +// understood by the spec. Implementations or sub modules can pass +// other keys to the AssertionError's constructor - they will be +// ignored. + +// 3. All of the following functions must throw an AssertionError +// when a corresponding condition is not met, with a message that +// may be undefined if not provided. All assertion methods provide +// both the actual and expected values to the assertion error for +// display purposes. + +function fail(actual, expected, message, operator, stackStartFunction) { + throw new assert.AssertionError({ + message: message, + actual: actual, + expected: expected, + operator: operator, + stackStartFunction: stackStartFunction + }); +} + +// EXTENSION! allows for well behaved errors defined elsewhere. +assert.fail = fail; + +// 4. Pure assertion tests whether a value is truthy, as determined +// by !!guard. +// assert.ok(guard, message_opt); +// This statement is equivalent to assert.equal(true, !!guard, +// message_opt);. To test strictly for the value true, use +// assert.strictEqual(true, guard, message_opt);. + +function ok(value, message) { + if (!value) fail(value, true, message, '==', assert.ok); +} +assert.ok = ok; + +// 5. The equality assertion tests shallow, coercive equality with +// ==. +// assert.equal(actual, expected, message_opt); + +assert.equal = function equal(actual, expected, message) { + if (actual != expected) fail(actual, expected, message, '==', assert.equal); +}; + +// 6. The non-equality assertion tests for whether two objects are not equal +// with != assert.notEqual(actual, expected, message_opt); + +assert.notEqual = function notEqual(actual, expected, message) { + if (actual == expected) { + fail(actual, expected, message, '!=', assert.notEqual); + } +}; + +// 7. The equivalence assertion tests a deep equality relation. +// assert.deepEqual(actual, expected, message_opt); + +assert.deepEqual = function deepEqual(actual, expected, message) { + if (!_deepEqual(actual, expected)) { + fail(actual, expected, message, 'deepEqual', assert.deepEqual); + } +}; + +function _deepEqual(actual, expected) { + // 7.1. All identical values are equivalent, as determined by ===. + if (actual === expected) { + return true; + + } else if (util.isBuffer(actual) && util.isBuffer(expected)) { + if (actual.length != expected.length) return false; + + for (var i = 0; i < actual.length; i++) { + if (actual[i] !== expected[i]) return false; + } + + return true; + + // 7.2. If the expected value is a Date object, the actual value is + // equivalent if it is also a Date object that refers to the same time. + } else if (util.isDate(actual) && util.isDate(expected)) { + return actual.getTime() === expected.getTime(); + + // 7.3 If the expected value is a RegExp object, the actual value is + // equivalent if it is also a RegExp object with the same source and + // properties (`global`, `multiline`, `lastIndex`, `ignoreCase`). + } else if (util.isRegExp(actual) && util.isRegExp(expected)) { + return actual.source === expected.source && + actual.global === expected.global && + actual.multiline === expected.multiline && + actual.lastIndex === expected.lastIndex && + actual.ignoreCase === expected.ignoreCase; + + // 7.4. Other pairs that do not both pass typeof value == 'object', + // equivalence is determined by ==. + } else if (!util.isObject(actual) && !util.isObject(expected)) { + return actual == expected; + + // 7.5 For all other Object pairs, including Array objects, equivalence is + // determined by having the same number of owned properties (as verified + // with Object.prototype.hasOwnProperty.call), the same set of keys + // (although not necessarily the same order), equivalent values for every + // corresponding key, and an identical 'prototype' property. Note: this + // accounts for both named and indexed properties on Arrays. + } else { + return objEquiv(actual, expected); + } +} + +function isArguments(object) { + return Object.prototype.toString.call(object) == '[object Arguments]'; +} + +function objEquiv(a, b) { + if (util.isNullOrUndefined(a) || util.isNullOrUndefined(b)) + return false; + // an identical 'prototype' property. + if (a.prototype !== b.prototype) return false; + // if one is a primitive, the other must be same + if (util.isPrimitive(a) || util.isPrimitive(b)) { + return a === b; + } + var aIsArgs = isArguments(a), + bIsArgs = isArguments(b); + if ((aIsArgs && !bIsArgs) || (!aIsArgs && bIsArgs)) + return false; + if (aIsArgs) { + a = pSlice.call(a); + b = pSlice.call(b); + return _deepEqual(a, b); + } + var ka = objectKeys(a), + kb = objectKeys(b), + key, i; + // having the same number of owned properties (keys incorporates + // hasOwnProperty) + if (ka.length != kb.length) + return false; + //the same set of keys (although not necessarily the same order), + ka.sort(); + kb.sort(); + //~~~cheap key test + for (i = ka.length - 1; i >= 0; i--) { + if (ka[i] != kb[i]) + return false; + } + //equivalent values for every corresponding key, and + //~~~possibly expensive deep test + for (i = ka.length - 1; i >= 0; i--) { + key = ka[i]; + if (!_deepEqual(a[key], b[key])) return false; + } + return true; +} + +// 8. The non-equivalence assertion tests for any deep inequality. +// assert.notDeepEqual(actual, expected, message_opt); + +assert.notDeepEqual = function notDeepEqual(actual, expected, message) { + if (_deepEqual(actual, expected)) { + fail(actual, expected, message, 'notDeepEqual', assert.notDeepEqual); + } +}; + +// 9. The strict equality assertion tests strict equality, as determined by ===. +// assert.strictEqual(actual, expected, message_opt); + +assert.strictEqual = function strictEqual(actual, expected, message) { + if (actual !== expected) { + fail(actual, expected, message, '===', assert.strictEqual); + } +}; + +// 10. The strict non-equality assertion tests for strict inequality, as +// determined by !==. assert.notStrictEqual(actual, expected, message_opt); + +assert.notStrictEqual = function notStrictEqual(actual, expected, message) { + if (actual === expected) { + fail(actual, expected, message, '!==', assert.notStrictEqual); + } +}; + +function expectedException(actual, expected) { + if (!actual || !expected) { + return false; + } + + if (Object.prototype.toString.call(expected) == '[object RegExp]') { + return expected.test(actual); + } else if (actual instanceof expected) { + return true; + } else if (expected.call({}, actual) === true) { + return true; + } + + return false; +} + +function _throws(shouldThrow, block, expected, message) { + var actual; + + if (util.isString(expected)) { + message = expected; + expected = null; + } + + try { + block(); + } catch (e) { + actual = e; + } + + message = (expected && expected.name ? ' (' + expected.name + ').' : '.') + + (message ? ' ' + message : '.'); + + if (shouldThrow && !actual) { + fail(actual, expected, 'Missing expected exception' + message); + } + + if (!shouldThrow && expectedException(actual, expected)) { + fail(actual, expected, 'Got unwanted exception' + message); + } + + if ((shouldThrow && actual && expected && + !expectedException(actual, expected)) || (!shouldThrow && actual)) { + throw actual; + } +} + +// 11. Expected to throw an error: +// assert.throws(block, Error_opt, message_opt); + +assert.throws = function(block, /*optional*/error, /*optional*/message) { + _throws.apply(this, [true].concat(pSlice.call(arguments))); +}; + +// EXTENSION! This is annoying to write outside this module. +assert.doesNotThrow = function(block, /*optional*/message) { + _throws.apply(this, [false].concat(pSlice.call(arguments))); +}; + +assert.ifError = function(err) { if (err) {throw err;}}; + +var objectKeys = Object.keys || function (obj) { + var keys = []; + for (var key in obj) { + if (hasOwn.call(obj, key)) keys.push(key); + } + return keys; +}; + +},{"util/":28}],10:[function(require,module,exports){ +'use strict'; +module.exports = balanced; +function balanced(a, b, str) { + if (a instanceof RegExp) a = maybeMatch(a, str); + if (b instanceof RegExp) b = maybeMatch(b, str); + + var r = range(a, b, str); + + return r && { + start: r[0], + end: r[1], + pre: str.slice(0, r[0]), + body: str.slice(r[0] + a.length, r[1]), + post: str.slice(r[1] + b.length) + }; +} + +function maybeMatch(reg, str) { + var m = str.match(reg); + return m ? m[0] : null; +} + +balanced.range = range; +function range(a, b, str) { + var begs, beg, left, right, result; + var ai = str.indexOf(a); + var bi = str.indexOf(b, ai + 1); + var i = ai; + + if (ai >= 0 && bi > 0) { + begs = []; + left = str.length; + + while (i >= 0 && !result) { + if (i == ai) { + begs.push(i); + ai = str.indexOf(a, i + 1); + } else if (begs.length == 1) { + result = [ begs.pop(), bi ]; + } else { + beg = begs.pop(); + if (beg < left) { + left = beg; + right = bi; + } + + bi = str.indexOf(b, i + 1); + } + + i = ai < bi && ai >= 0 ? ai : bi; + } + + if (begs.length) { + result = [ left, right ]; + } + } + + return result; +} + +},{}],11:[function(require,module,exports){ +var concatMap = require('concat-map'); +var balanced = require('balanced-match'); + +module.exports = expandTop; + +var escSlash = '\0SLASH'+Math.random()+'\0'; +var escOpen = '\0OPEN'+Math.random()+'\0'; +var escClose = '\0CLOSE'+Math.random()+'\0'; +var escComma = '\0COMMA'+Math.random()+'\0'; +var escPeriod = '\0PERIOD'+Math.random()+'\0'; + +function numeric(str) { + return parseInt(str, 10) == str + ? parseInt(str, 10) + : str.charCodeAt(0); +} + +function escapeBraces(str) { + return str.split('\\\\').join(escSlash) + .split('\\{').join(escOpen) + .split('\\}').join(escClose) + .split('\\,').join(escComma) + .split('\\.').join(escPeriod); +} + +function unescapeBraces(str) { + return str.split(escSlash).join('\\') + .split(escOpen).join('{') + .split(escClose).join('}') + .split(escComma).join(',') + .split(escPeriod).join('.'); +} + + +// Basically just str.split(","), but handling cases +// where we have nested braced sections, which should be +// treated as individual members, like {a,{b,c},d} +function parseCommaParts(str) { + if (!str) + return ['']; + + var parts = []; + var m = balanced('{', '}', str); + + if (!m) + return str.split(','); + + var pre = m.pre; + var body = m.body; + var post = m.post; + var p = pre.split(','); + + p[p.length-1] += '{' + body + '}'; + var postParts = parseCommaParts(post); + if (post.length) { + p[p.length-1] += postParts.shift(); + p.push.apply(p, postParts); + } + + parts.push.apply(parts, p); + + return parts; +} + +function expandTop(str) { + if (!str) + return []; + + // I don't know why Bash 4.3 does this, but it does. + // Anything starting with {} will have the first two bytes preserved + // but *only* at the top level, so {},a}b will not expand to anything, + // but a{},b}c will be expanded to [a}c,abc]. + // One could argue that this is a bug in Bash, but since the goal of + // this module is to match Bash's rules, we escape a leading {} + if (str.substr(0, 2) === '{}') { + str = '\\{\\}' + str.substr(2); + } + + return expand(escapeBraces(str), true).map(unescapeBraces); +} + +function identity(e) { + return e; +} + +function embrace(str) { + return '{' + str + '}'; +} +function isPadded(el) { + return /^-?0\d/.test(el); +} + +function lte(i, y) { + return i <= y; +} +function gte(i, y) { + return i >= y; +} + +function expand(str, isTop) { + var expansions = []; + + var m = balanced('{', '}', str); + if (!m || /\$$/.test(m.pre)) return [str]; + + var isNumericSequence = /^-?\d+\.\.-?\d+(?:\.\.-?\d+)?$/.test(m.body); + var isAlphaSequence = /^[a-zA-Z]\.\.[a-zA-Z](?:\.\.-?\d+)?$/.test(m.body); + var isSequence = isNumericSequence || isAlphaSequence; + var isOptions = m.body.indexOf(',') >= 0; + if (!isSequence && !isOptions) { + // {a},b} + if (m.post.match(/,.*\}/)) { + str = m.pre + '{' + m.body + escClose + m.post; + return expand(str); + } + return [str]; + } + + var n; + if (isSequence) { + n = m.body.split(/\.\./); + } else { + n = parseCommaParts(m.body); + if (n.length === 1) { + // x{{a,b}}y ==> x{a}y x{b}y + n = expand(n[0], false).map(embrace); + if (n.length === 1) { + var post = m.post.length + ? expand(m.post, false) + : ['']; + return post.map(function(p) { + return m.pre + n[0] + p; + }); + } + } + } + + // at this point, n is the parts, and we know it's not a comma set + // with a single entry. + + // no need to expand pre, since it is guaranteed to be free of brace-sets + var pre = m.pre; + var post = m.post.length + ? expand(m.post, false) + : ['']; + + var N; + + if (isSequence) { + var x = numeric(n[0]); + var y = numeric(n[1]); + var width = Math.max(n[0].length, n[1].length) + var incr = n.length == 3 + ? Math.abs(numeric(n[2])) + : 1; + var test = lte; + var reverse = y < x; + if (reverse) { + incr *= -1; + test = gte; + } + var pad = n.some(isPadded); + + N = []; + + for (var i = x; test(i, y); i += incr) { + var c; + if (isAlphaSequence) { + c = String.fromCharCode(i); + if (c === '\\') + c = ''; + } else { + c = String(i); + if (pad) { + var need = width - c.length; + if (need > 0) { + var z = new Array(need + 1).join('0'); + if (i < 0) + c = '-' + z + c.slice(1); + else + c = z + c; + } + } + } + N.push(c); + } + } else { + N = concatMap(n, function(el) { return expand(el, false) }); + } + + for (var j = 0; j < N.length; j++) { + for (var k = 0; k < post.length; k++) { + var expansion = pre + N[j] + post[k]; + if (!isTop || isSequence || expansion) + expansions.push(expansion); + } + } + + return expansions; +} + + +},{"balanced-match":10,"concat-map":13}],12:[function(require,module,exports){ + +},{}],13:[function(require,module,exports){ +module.exports = function (xs, fn) { + var res = []; + for (var i = 0; i < xs.length; i++) { + var x = fn(xs[i], i); + if (isArray(x)) res.push.apply(res, x); + else res.push(x); + } + return res; +}; + +var isArray = Array.isArray || function (xs) { + return Object.prototype.toString.call(xs) === '[object Array]'; +}; + +},{}],14:[function(require,module,exports){ +// Copyright Joyent, Inc. and other Node contributors. +// +// Permission is hereby granted, free of charge, to any person obtaining a +// copy of this software and associated documentation files (the +// "Software"), to deal in the Software without restriction, including +// without limitation the rights to use, copy, modify, merge, publish, +// distribute, sublicense, and/or sell copies of the Software, and to permit +// persons to whom the Software is furnished to do so, subject to the +// following conditions: +// +// The above copyright notice and this permission notice shall be included +// in all copies or substantial portions of the Software. +// +// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS +// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN +// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, +// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR +// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE +// USE OR OTHER DEALINGS IN THE SOFTWARE. + +function EventEmitter() { + this._events = this._events || {}; + this._maxListeners = this._maxListeners || undefined; +} +module.exports = EventEmitter; + +// Backwards-compat with node 0.10.x +EventEmitter.EventEmitter = EventEmitter; + +EventEmitter.prototype._events = undefined; +EventEmitter.prototype._maxListeners = undefined; + +// By default EventEmitters will print a warning if more than 10 listeners are +// added to it. This is a useful default which helps finding memory leaks. +EventEmitter.defaultMaxListeners = 10; + +// Obviously not all Emitters should be limited to 10. This function allows +// that to be increased. Set to zero for unlimited. +EventEmitter.prototype.setMaxListeners = function(n) { + if (!isNumber(n) || n < 0 || isNaN(n)) + throw TypeError('n must be a positive number'); + this._maxListeners = n; + return this; +}; + +EventEmitter.prototype.emit = function(type) { + var er, handler, len, args, i, listeners; + + if (!this._events) + this._events = {}; + + // If there is no 'error' event listener then throw. + if (type === 'error') { + if (!this._events.error || + (isObject(this._events.error) && !this._events.error.length)) { + er = arguments[1]; + if (er instanceof Error) { + throw er; // Unhandled 'error' event + } + throw TypeError('Uncaught, unspecified "error" event.'); + } + } + + handler = this._events[type]; + + if (isUndefined(handler)) + return false; + + if (isFunction(handler)) { + switch (arguments.length) { + // fast cases + case 1: + handler.call(this); + break; + case 2: + handler.call(this, arguments[1]); + break; + case 3: + handler.call(this, arguments[1], arguments[2]); + break; + // slower + default: + len = arguments.length; + args = new Array(len - 1); + for (i = 1; i < len; i++) + args[i - 1] = arguments[i]; + handler.apply(this, args); + } + } else if (isObject(handler)) { + len = arguments.length; + args = new Array(len - 1); + for (i = 1; i < len; i++) + args[i - 1] = arguments[i]; + + listeners = handler.slice(); + len = listeners.length; + for (i = 0; i < len; i++) + listeners[i].apply(this, args); + } + + return true; +}; + +EventEmitter.prototype.addListener = function(type, listener) { + var m; + + if (!isFunction(listener)) + throw TypeError('listener must be a function'); + + if (!this._events) + this._events = {}; + + // To avoid recursion in the case that type === "newListener"! Before + // adding it to the listeners, first emit "newListener". + if (this._events.newListener) + this.emit('newListener', type, + isFunction(listener.listener) ? + listener.listener : listener); + + if (!this._events[type]) + // Optimize the case of one listener. Don't need the extra array object. + this._events[type] = listener; + else if (isObject(this._events[type])) + // If we've already got an array, just append. + this._events[type].push(listener); + else + // Adding the second element, need to change to array. + this._events[type] = [this._events[type], listener]; + + // Check for listener leak + if (isObject(this._events[type]) && !this._events[type].warned) { + var m; + if (!isUndefined(this._maxListeners)) { + m = this._maxListeners; + } else { + m = EventEmitter.defaultMaxListeners; + } + + if (m && m > 0 && this._events[type].length > m) { + this._events[type].warned = true; + console.error('(node) warning: possible EventEmitter memory ' + + 'leak detected. %d listeners added. ' + + 'Use emitter.setMaxListeners() to increase limit.', + this._events[type].length); + if (typeof console.trace === 'function') { + // not supported in IE 10 + console.trace(); + } + } + } + + return this; +}; + +EventEmitter.prototype.on = EventEmitter.prototype.addListener; + +EventEmitter.prototype.once = function(type, listener) { + if (!isFunction(listener)) + throw TypeError('listener must be a function'); + + var fired = false; + + function g() { + this.removeListener(type, g); + + if (!fired) { + fired = true; + listener.apply(this, arguments); + } + } + + g.listener = listener; + this.on(type, g); + + return this; +}; + +// emits a 'removeListener' event iff the listener was removed +EventEmitter.prototype.removeListener = function(type, listener) { + var list, position, length, i; + + if (!isFunction(listener)) + throw TypeError('listener must be a function'); + + if (!this._events || !this._events[type]) + return this; + + list = this._events[type]; + length = list.length; + position = -1; + + if (list === listener || + (isFunction(list.listener) && list.listener === listener)) { + delete this._events[type]; + if (this._events.removeListener) + this.emit('removeListener', type, listener); + + } else if (isObject(list)) { + for (i = length; i-- > 0;) { + if (list[i] === listener || + (list[i].listener && list[i].listener === listener)) { + position = i; + break; + } + } + + if (position < 0) + return this; + + if (list.length === 1) { + list.length = 0; + delete this._events[type]; + } else { + list.splice(position, 1); + } + + if (this._events.removeListener) + this.emit('removeListener', type, listener); + } + + return this; +}; + +EventEmitter.prototype.removeAllListeners = function(type) { + var key, listeners; + + if (!this._events) + return this; + + // not listening for removeListener, no need to emit + if (!this._events.removeListener) { + if (arguments.length === 0) + this._events = {}; + else if (this._events[type]) + delete this._events[type]; + return this; + } + + // emit removeListener for all listeners on all events + if (arguments.length === 0) { + for (key in this._events) { + if (key === 'removeListener') continue; + this.removeAllListeners(key); + } + this.removeAllListeners('removeListener'); + this._events = {}; + return this; + } + + listeners = this._events[type]; + + if (isFunction(listeners)) { + this.removeListener(type, listeners); + } else { + // LIFO order + while (listeners.length) + this.removeListener(type, listeners[listeners.length - 1]); + } + delete this._events[type]; + + return this; +}; + +EventEmitter.prototype.listeners = function(type) { + var ret; + if (!this._events || !this._events[type]) + ret = []; + else if (isFunction(this._events[type])) + ret = [this._events[type]]; + else + ret = this._events[type].slice(); + return ret; +}; + +EventEmitter.listenerCount = function(emitter, type) { + var ret; + if (!emitter._events || !emitter._events[type]) + ret = 0; + else if (isFunction(emitter._events[type])) + ret = 1; + else + ret = emitter._events[type].length; + return ret; +}; + +function isFunction(arg) { + return typeof arg === 'function'; +} + +function isNumber(arg) { + return typeof arg === 'number'; +} + +function isObject(arg) { + return typeof arg === 'object' && arg !== null; +} + +function isUndefined(arg) { + return arg === void 0; +} + +},{}],15:[function(require,module,exports){ +(function (process){ +exports.alphasort = alphasort +exports.alphasorti = alphasorti +exports.setopts = setopts +exports.ownProp = ownProp +exports.makeAbs = makeAbs +exports.finish = finish +exports.mark = mark +exports.isIgnored = isIgnored +exports.childrenIgnored = childrenIgnored + +function ownProp (obj, field) { + return Object.prototype.hasOwnProperty.call(obj, field) +} + +var path = require("path") +var minimatch = require("minimatch") +var isAbsolute = require("path-is-absolute") +var Minimatch = minimatch.Minimatch + +function alphasorti (a, b) { + return a.toLowerCase().localeCompare(b.toLowerCase()) +} + +function alphasort (a, b) { + return a.localeCompare(b) +} + +function setupIgnores (self, options) { + self.ignore = options.ignore || [] + + if (!Array.isArray(self.ignore)) + self.ignore = [self.ignore] + + if (self.ignore.length) { + self.ignore = self.ignore.map(ignoreMap) + } +} + +function ignoreMap (pattern) { + var gmatcher = null + if (pattern.slice(-3) === '/**') { + var gpattern = pattern.replace(/(\/\*\*)+$/, '') + gmatcher = new Minimatch(gpattern) + } + + return { + matcher: new Minimatch(pattern), + gmatcher: gmatcher + } +} + +function setopts (self, pattern, options) { + if (!options) + options = {} + + // base-matching: just use globstar for that. + if (options.matchBase && -1 === pattern.indexOf("/")) { + if (options.noglobstar) { + throw new Error("base matching requires globstar") + } + pattern = "**/" + pattern + } + + self.silent = !!options.silent + self.pattern = pattern + self.strict = options.strict !== false + self.realpath = !!options.realpath + self.realpathCache = options.realpathCache || Object.create(null) + self.follow = !!options.follow + self.dot = !!options.dot + self.mark = !!options.mark + self.nodir = !!options.nodir + if (self.nodir) + self.mark = true + self.sync = !!options.sync + self.nounique = !!options.nounique + self.nonull = !!options.nonull + self.nosort = !!options.nosort + self.nocase = !!options.nocase + self.stat = !!options.stat + self.noprocess = !!options.noprocess + + self.maxLength = options.maxLength || Infinity + self.cache = options.cache || Object.create(null) + self.statCache = options.statCache || Object.create(null) + self.symlinks = options.symlinks || Object.create(null) + + setupIgnores(self, options) + + self.changedCwd = false + var cwd = process.cwd() + if (!ownProp(options, "cwd")) + self.cwd = cwd + else { + self.cwd = options.cwd + self.changedCwd = path.resolve(options.cwd) !== cwd + } + + self.root = options.root || path.resolve(self.cwd, "/") + self.root = path.resolve(self.root) + if (process.platform === "win32") + self.root = self.root.replace(/\\/g, "/") + + self.nomount = !!options.nomount + + // disable comments and negation unless the user explicitly + // passes in false as the option. + options.nonegate = options.nonegate === false ? false : true + options.nocomment = options.nocomment === false ? false : true + deprecationWarning(options) + + self.minimatch = new Minimatch(pattern, options) + self.options = self.minimatch.options +} + +// TODO(isaacs): remove entirely in v6 +// exported to reset in tests +exports.deprecationWarned +function deprecationWarning(options) { + if (!options.nonegate || !options.nocomment) { + if (process.noDeprecation !== true && !exports.deprecationWarned) { + var msg = 'glob WARNING: comments and negation will be disabled in v6' + if (process.throwDeprecation) + throw new Error(msg) + else if (process.traceDeprecation) + console.trace(msg) + else + console.error(msg) + + exports.deprecationWarned = true + } + } +} + +function finish (self) { + var nou = self.nounique + var all = nou ? [] : Object.create(null) + + for (var i = 0, l = self.matches.length; i < l; i ++) { + var matches = self.matches[i] + if (!matches || Object.keys(matches).length === 0) { + if (self.nonull) { + // do like the shell, and spit out the literal glob + var literal = self.minimatch.globSet[i] + if (nou) + all.push(literal) + else + all[literal] = true + } + } else { + // had matches + var m = Object.keys(matches) + if (nou) + all.push.apply(all, m) + else + m.forEach(function (m) { + all[m] = true + }) + } + } + + if (!nou) + all = Object.keys(all) + + if (!self.nosort) + all = all.sort(self.nocase ? alphasorti : alphasort) + + // at *some* point we statted all of these + if (self.mark) { + for (var i = 0; i < all.length; i++) { + all[i] = self._mark(all[i]) + } + if (self.nodir) { + all = all.filter(function (e) { + return !(/\/$/.test(e)) + }) + } + } + + if (self.ignore.length) + all = all.filter(function(m) { + return !isIgnored(self, m) + }) + + self.found = all +} + +function mark (self, p) { + var abs = makeAbs(self, p) + var c = self.cache[abs] + var m = p + if (c) { + var isDir = c === 'DIR' || Array.isArray(c) + var slash = p.slice(-1) === '/' + + if (isDir && !slash) + m += '/' + else if (!isDir && slash) + m = m.slice(0, -1) + + if (m !== p) { + var mabs = makeAbs(self, m) + self.statCache[mabs] = self.statCache[abs] + self.cache[mabs] = self.cache[abs] + } + } + + return m +} + +// lotta situps... +function makeAbs (self, f) { + var abs = f + if (f.charAt(0) === '/') { + abs = path.join(self.root, f) + } else if (isAbsolute(f) || f === '') { + abs = f + } else if (self.changedCwd) { + abs = path.resolve(self.cwd, f) + } else { + abs = path.resolve(f) + } + return abs +} + + +// Return true, if pattern ends with globstar '**', for the accompanying parent directory. +// Ex:- If node_modules/** is the pattern, add 'node_modules' to ignore list along with it's contents +function isIgnored (self, path) { + if (!self.ignore.length) + return false + + return self.ignore.some(function(item) { + return item.matcher.match(path) || !!(item.gmatcher && item.gmatcher.match(path)) + }) +} + +function childrenIgnored (self, path) { + if (!self.ignore.length) + return false + + return self.ignore.some(function(item) { + return !!(item.gmatcher && item.gmatcher.match(path)) + }) +} + +}).call(this,require('_process')) +},{"_process":24,"minimatch":20,"path":22,"path-is-absolute":23}],16:[function(require,module,exports){ +(function (process){ +// Approach: +// +// 1. Get the minimatch set +// 2. For each pattern in the set, PROCESS(pattern, false) +// 3. Store matches per-set, then uniq them +// +// PROCESS(pattern, inGlobStar) +// Get the first [n] items from pattern that are all strings +// Join these together. This is PREFIX. +// If there is no more remaining, then stat(PREFIX) and +// add to matches if it succeeds. END. +// +// If inGlobStar and PREFIX is symlink and points to dir +// set ENTRIES = [] +// else readdir(PREFIX) as ENTRIES +// If fail, END +// +// with ENTRIES +// If pattern[n] is GLOBSTAR +// // handle the case where the globstar match is empty +// // by pruning it out, and testing the resulting pattern +// PROCESS(pattern[0..n] + pattern[n+1 .. $], false) +// // handle other cases. +// for ENTRY in ENTRIES (not dotfiles) +// // attach globstar + tail onto the entry +// // Mark that this entry is a globstar match +// PROCESS(pattern[0..n] + ENTRY + pattern[n .. $], true) +// +// else // not globstar +// for ENTRY in ENTRIES (not dotfiles, unless pattern[n] is dot) +// Test ENTRY against pattern[n] +// If fails, continue +// If passes, PROCESS(pattern[0..n] + item + pattern[n+1 .. $]) +// +// Caveat: +// Cache all stats and readdirs results to minimize syscall. Since all +// we ever care about is existence and directory-ness, we can just keep +// `true` for files, and [children,...] for directories, or `false` for +// things that don't exist. + +module.exports = glob + +var fs = require('fs') +var minimatch = require('minimatch') +var Minimatch = minimatch.Minimatch +var inherits = require('inherits') +var EE = require('events').EventEmitter +var path = require('path') +var assert = require('assert') +var isAbsolute = require('path-is-absolute') +var globSync = require('./sync.js') +var common = require('./common.js') +var alphasort = common.alphasort +var alphasorti = common.alphasorti +var setopts = common.setopts +var ownProp = common.ownProp +var inflight = require('inflight') +var util = require('util') +var childrenIgnored = common.childrenIgnored +var isIgnored = common.isIgnored + +var once = require('once') + +function glob (pattern, options, cb) { + if (typeof options === 'function') cb = options, options = {} + if (!options) options = {} + + if (options.sync) { + if (cb) + throw new TypeError('callback provided to sync glob') + return globSync(pattern, options) + } + + return new Glob(pattern, options, cb) +} + +glob.sync = globSync +var GlobSync = glob.GlobSync = globSync.GlobSync + +// old api surface +glob.glob = glob + +glob.hasMagic = function (pattern, options_) { + var options = util._extend({}, options_) + options.noprocess = true + + var g = new Glob(pattern, options) + var set = g.minimatch.set + if (set.length > 1) + return true + + for (var j = 0; j < set[0].length; j++) { + if (typeof set[0][j] !== 'string') + return true + } + + return false +} + +glob.Glob = Glob +inherits(Glob, EE) +function Glob (pattern, options, cb) { + if (typeof options === 'function') { + cb = options + options = null + } + + if (options && options.sync) { + if (cb) + throw new TypeError('callback provided to sync glob') + return new GlobSync(pattern, options) + } + + if (!(this instanceof Glob)) + return new Glob(pattern, options, cb) + + setopts(this, pattern, options) + this._didRealPath = false + + // process each pattern in the minimatch set + var n = this.minimatch.set.length + + // The matches are stored as {: true,...} so that + // duplicates are automagically pruned. + // Later, we do an Object.keys() on these. + // Keep them as a list so we can fill in when nonull is set. + this.matches = new Array(n) + + if (typeof cb === 'function') { + cb = once(cb) + this.on('error', cb) + this.on('end', function (matches) { + cb(null, matches) + }) + } + + var self = this + var n = this.minimatch.set.length + this._processing = 0 + this.matches = new Array(n) + + this._emitQueue = [] + this._processQueue = [] + this.paused = false + + if (this.noprocess) + return this + + if (n === 0) + return done() + + for (var i = 0; i < n; i ++) { + this._process(this.minimatch.set[i], i, false, done) + } + + function done () { + --self._processing + if (self._processing <= 0) + self._finish() + } +} + +Glob.prototype._finish = function () { + assert(this instanceof Glob) + if (this.aborted) + return + + if (this.realpath && !this._didRealpath) + return this._realpath() + + common.finish(this) + this.emit('end', this.found) +} + +Glob.prototype._realpath = function () { + if (this._didRealpath) + return + + this._didRealpath = true + + var n = this.matches.length + if (n === 0) + return this._finish() + + var self = this + for (var i = 0; i < this.matches.length; i++) + this._realpathSet(i, next) + + function next () { + if (--n === 0) + self._finish() + } +} + +Glob.prototype._realpathSet = function (index, cb) { + var matchset = this.matches[index] + if (!matchset) + return cb() + + var found = Object.keys(matchset) + var self = this + var n = found.length + + if (n === 0) + return cb() + + var set = this.matches[index] = Object.create(null) + found.forEach(function (p, i) { + // If there's a problem with the stat, then it means that + // one or more of the links in the realpath couldn't be + // resolved. just return the abs value in that case. + p = self._makeAbs(p) + fs.realpath(p, self.realpathCache, function (er, real) { + if (!er) + set[real] = true + else if (er.syscall === 'stat') + set[p] = true + else + self.emit('error', er) // srsly wtf right here + + if (--n === 0) { + self.matches[index] = set + cb() + } + }) + }) +} + +Glob.prototype._mark = function (p) { + return common.mark(this, p) +} + +Glob.prototype._makeAbs = function (f) { + return common.makeAbs(this, f) +} + +Glob.prototype.abort = function () { + this.aborted = true + this.emit('abort') +} + +Glob.prototype.pause = function () { + if (!this.paused) { + this.paused = true + this.emit('pause') + } +} + +Glob.prototype.resume = function () { + if (this.paused) { + this.emit('resume') + this.paused = false + if (this._emitQueue.length) { + var eq = this._emitQueue.slice(0) + this._emitQueue.length = 0 + for (var i = 0; i < eq.length; i ++) { + var e = eq[i] + this._emitMatch(e[0], e[1]) + } + } + if (this._processQueue.length) { + var pq = this._processQueue.slice(0) + this._processQueue.length = 0 + for (var i = 0; i < pq.length; i ++) { + var p = pq[i] + this._processing-- + this._process(p[0], p[1], p[2], p[3]) + } + } + } +} + +Glob.prototype._process = function (pattern, index, inGlobStar, cb) { + assert(this instanceof Glob) + assert(typeof cb === 'function') + + if (this.aborted) + return + + this._processing++ + if (this.paused) { + this._processQueue.push([pattern, index, inGlobStar, cb]) + return + } + + //console.error('PROCESS %d', this._processing, pattern) + + // Get the first [n] parts of pattern that are all strings. + var n = 0 + while (typeof pattern[n] === 'string') { + n ++ + } + // now n is the index of the first one that is *not* a string. + + // see if there's anything else + var prefix + switch (n) { + // if not, then this is rather simple + case pattern.length: + this._processSimple(pattern.join('/'), index, cb) + return + + case 0: + // pattern *starts* with some non-trivial item. + // going to readdir(cwd), but not include the prefix in matches. + prefix = null + break + + default: + // pattern has some string bits in the front. + // whatever it starts with, whether that's 'absolute' like /foo/bar, + // or 'relative' like '../baz' + prefix = pattern.slice(0, n).join('/') + break + } + + var remain = pattern.slice(n) + + // get the list of entries. + var read + if (prefix === null) + read = '.' + else if (isAbsolute(prefix) || isAbsolute(pattern.join('/'))) { + if (!prefix || !isAbsolute(prefix)) + prefix = '/' + prefix + read = prefix + } else + read = prefix + + var abs = this._makeAbs(read) + + //if ignored, skip _processing + if (childrenIgnored(this, read)) + return cb() + + var isGlobStar = remain[0] === minimatch.GLOBSTAR + if (isGlobStar) + this._processGlobStar(prefix, read, abs, remain, index, inGlobStar, cb) + else + this._processReaddir(prefix, read, abs, remain, index, inGlobStar, cb) +} + +Glob.prototype._processReaddir = function (prefix, read, abs, remain, index, inGlobStar, cb) { + var self = this + this._readdir(abs, inGlobStar, function (er, entries) { + return self._processReaddir2(prefix, read, abs, remain, index, inGlobStar, entries, cb) + }) +} + +Glob.prototype._processReaddir2 = function (prefix, read, abs, remain, index, inGlobStar, entries, cb) { + + // if the abs isn't a dir, then nothing can match! + if (!entries) + return cb() + + // It will only match dot entries if it starts with a dot, or if + // dot is set. Stuff like @(.foo|.bar) isn't allowed. + var pn = remain[0] + var negate = !!this.minimatch.negate + var rawGlob = pn._glob + var dotOk = this.dot || rawGlob.charAt(0) === '.' + + var matchedEntries = [] + for (var i = 0; i < entries.length; i++) { + var e = entries[i] + if (e.charAt(0) !== '.' || dotOk) { + var m + if (negate && !prefix) { + m = !e.match(pn) + } else { + m = e.match(pn) + } + if (m) + matchedEntries.push(e) + } + } + + //console.error('prd2', prefix, entries, remain[0]._glob, matchedEntries) + + var len = matchedEntries.length + // If there are no matched entries, then nothing matches. + if (len === 0) + return cb() + + // if this is the last remaining pattern bit, then no need for + // an additional stat *unless* the user has specified mark or + // stat explicitly. We know they exist, since readdir returned + // them. + + if (remain.length === 1 && !this.mark && !this.stat) { + if (!this.matches[index]) + this.matches[index] = Object.create(null) + + for (var i = 0; i < len; i ++) { + var e = matchedEntries[i] + if (prefix) { + if (prefix !== '/') + e = prefix + '/' + e + else + e = prefix + e + } + + if (e.charAt(0) === '/' && !this.nomount) { + e = path.join(this.root, e) + } + this._emitMatch(index, e) + } + // This was the last one, and no stats were needed + return cb() + } + + // now test all matched entries as stand-ins for that part + // of the pattern. + remain.shift() + for (var i = 0; i < len; i ++) { + var e = matchedEntries[i] + var newPattern + if (prefix) { + if (prefix !== '/') + e = prefix + '/' + e + else + e = prefix + e + } + this._process([e].concat(remain), index, inGlobStar, cb) + } + cb() +} + +Glob.prototype._emitMatch = function (index, e) { + if (this.aborted) + return + + if (this.matches[index][e]) + return + + if (isIgnored(this, e)) + return + + if (this.paused) { + this._emitQueue.push([index, e]) + return + } + + var abs = this._makeAbs(e) + + if (this.nodir) { + var c = this.cache[abs] + if (c === 'DIR' || Array.isArray(c)) + return + } + + if (this.mark) + e = this._mark(e) + + this.matches[index][e] = true + + var st = this.statCache[abs] + if (st) + this.emit('stat', e, st) + + this.emit('match', e) +} + +Glob.prototype._readdirInGlobStar = function (abs, cb) { + if (this.aborted) + return + + // follow all symlinked directories forever + // just proceed as if this is a non-globstar situation + if (this.follow) + return this._readdir(abs, false, cb) + + var lstatkey = 'lstat\0' + abs + var self = this + var lstatcb = inflight(lstatkey, lstatcb_) + + if (lstatcb) + fs.lstat(abs, lstatcb) + + function lstatcb_ (er, lstat) { + if (er) + return cb() + + var isSym = lstat.isSymbolicLink() + self.symlinks[abs] = isSym + + // If it's not a symlink or a dir, then it's definitely a regular file. + // don't bother doing a readdir in that case. + if (!isSym && !lstat.isDirectory()) { + self.cache[abs] = 'FILE' + cb() + } else + self._readdir(abs, false, cb) + } +} + +Glob.prototype._readdir = function (abs, inGlobStar, cb) { + if (this.aborted) + return + + cb = inflight('readdir\0'+abs+'\0'+inGlobStar, cb) + if (!cb) + return + + //console.error('RD %j %j', +inGlobStar, abs) + if (inGlobStar && !ownProp(this.symlinks, abs)) + return this._readdirInGlobStar(abs, cb) + + if (ownProp(this.cache, abs)) { + var c = this.cache[abs] + if (!c || c === 'FILE') + return cb() + + if (Array.isArray(c)) + return cb(null, c) + } + + var self = this + fs.readdir(abs, readdirCb(this, abs, cb)) +} + +function readdirCb (self, abs, cb) { + return function (er, entries) { + if (er) + self._readdirError(abs, er, cb) + else + self._readdirEntries(abs, entries, cb) + } +} + +Glob.prototype._readdirEntries = function (abs, entries, cb) { + if (this.aborted) + return + + // if we haven't asked to stat everything, then just + // assume that everything in there exists, so we can avoid + // having to stat it a second time. + if (!this.mark && !this.stat) { + for (var i = 0; i < entries.length; i ++) { + var e = entries[i] + if (abs === '/') + e = abs + e + else + e = abs + '/' + e + this.cache[e] = true + } + } + + this.cache[abs] = entries + return cb(null, entries) +} + +Glob.prototype._readdirError = function (f, er, cb) { + if (this.aborted) + return + + // handle errors, and cache the information + switch (er.code) { + case 'ENOTSUP': // https://github.com/isaacs/node-glob/issues/205 + case 'ENOTDIR': // totally normal. means it *does* exist. + this.cache[this._makeAbs(f)] = 'FILE' + break + + case 'ENOENT': // not terribly unusual + case 'ELOOP': + case 'ENAMETOOLONG': + case 'UNKNOWN': + this.cache[this._makeAbs(f)] = false + break + + default: // some unusual error. Treat as failure. + this.cache[this._makeAbs(f)] = false + if (this.strict) { + this.emit('error', er) + // If the error is handled, then we abort + // if not, we threw out of here + this.abort() + } + if (!this.silent) + console.error('glob error', er) + break + } + + return cb() +} + +Glob.prototype._processGlobStar = function (prefix, read, abs, remain, index, inGlobStar, cb) { + var self = this + this._readdir(abs, inGlobStar, function (er, entries) { + self._processGlobStar2(prefix, read, abs, remain, index, inGlobStar, entries, cb) + }) +} + + +Glob.prototype._processGlobStar2 = function (prefix, read, abs, remain, index, inGlobStar, entries, cb) { + //console.error('pgs2', prefix, remain[0], entries) + + // no entries means not a dir, so it can never have matches + // foo.txt/** doesn't match foo.txt + if (!entries) + return cb() + + // test without the globstar, and with every child both below + // and replacing the globstar. + var remainWithoutGlobStar = remain.slice(1) + var gspref = prefix ? [ prefix ] : [] + var noGlobStar = gspref.concat(remainWithoutGlobStar) + + // the noGlobStar pattern exits the inGlobStar state + this._process(noGlobStar, index, false, cb) + + var isSym = this.symlinks[abs] + var len = entries.length + + // If it's a symlink, and we're in a globstar, then stop + if (isSym && inGlobStar) + return cb() + + for (var i = 0; i < len; i++) { + var e = entries[i] + if (e.charAt(0) === '.' && !this.dot) + continue + + // these two cases enter the inGlobStar state + var instead = gspref.concat(entries[i], remainWithoutGlobStar) + this._process(instead, index, true, cb) + + var below = gspref.concat(entries[i], remain) + this._process(below, index, true, cb) + } + + cb() +} + +Glob.prototype._processSimple = function (prefix, index, cb) { + // XXX review this. Shouldn't it be doing the mounting etc + // before doing stat? kinda weird? + var self = this + this._stat(prefix, function (er, exists) { + self._processSimple2(prefix, index, er, exists, cb) + }) +} +Glob.prototype._processSimple2 = function (prefix, index, er, exists, cb) { + + //console.error('ps2', prefix, exists) + + if (!this.matches[index]) + this.matches[index] = Object.create(null) + + // If it doesn't exist, then just mark the lack of results + if (!exists) + return cb() + + if (prefix && isAbsolute(prefix) && !this.nomount) { + var trail = /[\/\\]$/.test(prefix) + if (prefix.charAt(0) === '/') { + prefix = path.join(this.root, prefix) + } else { + prefix = path.resolve(this.root, prefix) + if (trail) + prefix += '/' + } + } + + if (process.platform === 'win32') + prefix = prefix.replace(/\\/g, '/') + + // Mark this as a match + this._emitMatch(index, prefix) + cb() +} + +// Returns either 'DIR', 'FILE', or false +Glob.prototype._stat = function (f, cb) { + var abs = this._makeAbs(f) + var needDir = f.slice(-1) === '/' + + if (f.length > this.maxLength) + return cb() + + if (!this.stat && ownProp(this.cache, abs)) { + var c = this.cache[abs] + + if (Array.isArray(c)) + c = 'DIR' + + // It exists, but maybe not how we need it + if (!needDir || c === 'DIR') + return cb(null, c) + + if (needDir && c === 'FILE') + return cb() + + // otherwise we have to stat, because maybe c=true + // if we know it exists, but not what it is. + } + + var exists + var stat = this.statCache[abs] + if (stat !== undefined) { + if (stat === false) + return cb(null, stat) + else { + var type = stat.isDirectory() ? 'DIR' : 'FILE' + if (needDir && type === 'FILE') + return cb() + else + return cb(null, type, stat) + } + } + + var self = this + var statcb = inflight('stat\0' + abs, lstatcb_) + if (statcb) + fs.lstat(abs, statcb) + + function lstatcb_ (er, lstat) { + if (lstat && lstat.isSymbolicLink()) { + // If it's a symlink, then treat it as the target, unless + // the target does not exist, then treat it as a file. + return fs.stat(abs, function (er, stat) { + if (er) + self._stat2(f, abs, null, lstat, cb) + else + self._stat2(f, abs, er, stat, cb) + }) + } else { + self._stat2(f, abs, er, lstat, cb) + } + } +} + +Glob.prototype._stat2 = function (f, abs, er, stat, cb) { + if (er) { + this.statCache[abs] = false + return cb() + } + + var needDir = f.slice(-1) === '/' + this.statCache[abs] = stat + + if (abs.slice(-1) === '/' && !stat.isDirectory()) + return cb(null, false, stat) + + var c = stat.isDirectory() ? 'DIR' : 'FILE' + this.cache[abs] = this.cache[abs] || c + + if (needDir && c !== 'DIR') + return cb() + + return cb(null, c, stat) +} + +}).call(this,require('_process')) +},{"./common.js":15,"./sync.js":17,"_process":24,"assert":9,"events":14,"fs":12,"inflight":18,"inherits":19,"minimatch":20,"once":21,"path":22,"path-is-absolute":23,"util":28}],17:[function(require,module,exports){ +(function (process){ +module.exports = globSync +globSync.GlobSync = GlobSync + +var fs = require('fs') +var minimatch = require('minimatch') +var Minimatch = minimatch.Minimatch +var Glob = require('./glob.js').Glob +var util = require('util') +var path = require('path') +var assert = require('assert') +var isAbsolute = require('path-is-absolute') +var common = require('./common.js') +var alphasort = common.alphasort +var alphasorti = common.alphasorti +var setopts = common.setopts +var ownProp = common.ownProp +var childrenIgnored = common.childrenIgnored + +function globSync (pattern, options) { + if (typeof options === 'function' || arguments.length === 3) + throw new TypeError('callback provided to sync glob\n'+ + 'See: https://github.com/isaacs/node-glob/issues/167') + + return new GlobSync(pattern, options).found +} + +function GlobSync (pattern, options) { + if (!pattern) + throw new Error('must provide pattern') + + if (typeof options === 'function' || arguments.length === 3) + throw new TypeError('callback provided to sync glob\n'+ + 'See: https://github.com/isaacs/node-glob/issues/167') + + if (!(this instanceof GlobSync)) + return new GlobSync(pattern, options) + + setopts(this, pattern, options) + + if (this.noprocess) + return this + + var n = this.minimatch.set.length + this.matches = new Array(n) + for (var i = 0; i < n; i ++) { + this._process(this.minimatch.set[i], i, false) + } + this._finish() +} + +GlobSync.prototype._finish = function () { + assert(this instanceof GlobSync) + if (this.realpath) { + var self = this + this.matches.forEach(function (matchset, index) { + var set = self.matches[index] = Object.create(null) + for (var p in matchset) { + try { + p = self._makeAbs(p) + var real = fs.realpathSync(p, self.realpathCache) + set[real] = true + } catch (er) { + if (er.syscall === 'stat') + set[self._makeAbs(p)] = true + else + throw er + } + } + }) + } + common.finish(this) +} + + +GlobSync.prototype._process = function (pattern, index, inGlobStar) { + assert(this instanceof GlobSync) + + // Get the first [n] parts of pattern that are all strings. + var n = 0 + while (typeof pattern[n] === 'string') { + n ++ + } + // now n is the index of the first one that is *not* a string. + + // See if there's anything else + var prefix + switch (n) { + // if not, then this is rather simple + case pattern.length: + this._processSimple(pattern.join('/'), index) + return + + case 0: + // pattern *starts* with some non-trivial item. + // going to readdir(cwd), but not include the prefix in matches. + prefix = null + break + + default: + // pattern has some string bits in the front. + // whatever it starts with, whether that's 'absolute' like /foo/bar, + // or 'relative' like '../baz' + prefix = pattern.slice(0, n).join('/') + break + } + + var remain = pattern.slice(n) + + // get the list of entries. + var read + if (prefix === null) + read = '.' + else if (isAbsolute(prefix) || isAbsolute(pattern.join('/'))) { + if (!prefix || !isAbsolute(prefix)) + prefix = '/' + prefix + read = prefix + } else + read = prefix + + var abs = this._makeAbs(read) + + //if ignored, skip processing + if (childrenIgnored(this, read)) + return + + var isGlobStar = remain[0] === minimatch.GLOBSTAR + if (isGlobStar) + this._processGlobStar(prefix, read, abs, remain, index, inGlobStar) + else + this._processReaddir(prefix, read, abs, remain, index, inGlobStar) +} + + +GlobSync.prototype._processReaddir = function (prefix, read, abs, remain, index, inGlobStar) { + var entries = this._readdir(abs, inGlobStar) + + // if the abs isn't a dir, then nothing can match! + if (!entries) + return + + // It will only match dot entries if it starts with a dot, or if + // dot is set. Stuff like @(.foo|.bar) isn't allowed. + var pn = remain[0] + var negate = !!this.minimatch.negate + var rawGlob = pn._glob + var dotOk = this.dot || rawGlob.charAt(0) === '.' + + var matchedEntries = [] + for (var i = 0; i < entries.length; i++) { + var e = entries[i] + if (e.charAt(0) !== '.' || dotOk) { + var m + if (negate && !prefix) { + m = !e.match(pn) + } else { + m = e.match(pn) + } + if (m) + matchedEntries.push(e) + } + } + + var len = matchedEntries.length + // If there are no matched entries, then nothing matches. + if (len === 0) + return + + // if this is the last remaining pattern bit, then no need for + // an additional stat *unless* the user has specified mark or + // stat explicitly. We know they exist, since readdir returned + // them. + + if (remain.length === 1 && !this.mark && !this.stat) { + if (!this.matches[index]) + this.matches[index] = Object.create(null) + + for (var i = 0; i < len; i ++) { + var e = matchedEntries[i] + if (prefix) { + if (prefix.slice(-1) !== '/') + e = prefix + '/' + e + else + e = prefix + e + } + + if (e.charAt(0) === '/' && !this.nomount) { + e = path.join(this.root, e) + } + this.matches[index][e] = true + } + // This was the last one, and no stats were needed + return + } + + // now test all matched entries as stand-ins for that part + // of the pattern. + remain.shift() + for (var i = 0; i < len; i ++) { + var e = matchedEntries[i] + var newPattern + if (prefix) + newPattern = [prefix, e] + else + newPattern = [e] + this._process(newPattern.concat(remain), index, inGlobStar) + } +} + + +GlobSync.prototype._emitMatch = function (index, e) { + var abs = this._makeAbs(e) + if (this.mark) + e = this._mark(e) + + if (this.matches[index][e]) + return + + if (this.nodir) { + var c = this.cache[this._makeAbs(e)] + if (c === 'DIR' || Array.isArray(c)) + return + } + + this.matches[index][e] = true + if (this.stat) + this._stat(e) +} + + +GlobSync.prototype._readdirInGlobStar = function (abs) { + // follow all symlinked directories forever + // just proceed as if this is a non-globstar situation + if (this.follow) + return this._readdir(abs, false) + + var entries + var lstat + var stat + try { + lstat = fs.lstatSync(abs) + } catch (er) { + // lstat failed, doesn't exist + return null + } + + var isSym = lstat.isSymbolicLink() + this.symlinks[abs] = isSym + + // If it's not a symlink or a dir, then it's definitely a regular file. + // don't bother doing a readdir in that case. + if (!isSym && !lstat.isDirectory()) + this.cache[abs] = 'FILE' + else + entries = this._readdir(abs, false) + + return entries +} + +GlobSync.prototype._readdir = function (abs, inGlobStar) { + var entries + + if (inGlobStar && !ownProp(this.symlinks, abs)) + return this._readdirInGlobStar(abs) + + if (ownProp(this.cache, abs)) { + var c = this.cache[abs] + if (!c || c === 'FILE') + return null + + if (Array.isArray(c)) + return c + } + + try { + return this._readdirEntries(abs, fs.readdirSync(abs)) + } catch (er) { + this._readdirError(abs, er) + return null + } +} + +GlobSync.prototype._readdirEntries = function (abs, entries) { + // if we haven't asked to stat everything, then just + // assume that everything in there exists, so we can avoid + // having to stat it a second time. + if (!this.mark && !this.stat) { + for (var i = 0; i < entries.length; i ++) { + var e = entries[i] + if (abs === '/') + e = abs + e + else + e = abs + '/' + e + this.cache[e] = true + } + } + + this.cache[abs] = entries + + // mark and cache dir-ness + return entries +} + +GlobSync.prototype._readdirError = function (f, er) { + // handle errors, and cache the information + switch (er.code) { + case 'ENOTSUP': // https://github.com/isaacs/node-glob/issues/205 + case 'ENOTDIR': // totally normal. means it *does* exist. + this.cache[this._makeAbs(f)] = 'FILE' + break + + case 'ENOENT': // not terribly unusual + case 'ELOOP': + case 'ENAMETOOLONG': + case 'UNKNOWN': + this.cache[this._makeAbs(f)] = false + break + + default: // some unusual error. Treat as failure. + this.cache[this._makeAbs(f)] = false + if (this.strict) + throw er + if (!this.silent) + console.error('glob error', er) + break + } +} + +GlobSync.prototype._processGlobStar = function (prefix, read, abs, remain, index, inGlobStar) { + + var entries = this._readdir(abs, inGlobStar) + + // no entries means not a dir, so it can never have matches + // foo.txt/** doesn't match foo.txt + if (!entries) + return + + // test without the globstar, and with every child both below + // and replacing the globstar. + var remainWithoutGlobStar = remain.slice(1) + var gspref = prefix ? [ prefix ] : [] + var noGlobStar = gspref.concat(remainWithoutGlobStar) + + // the noGlobStar pattern exits the inGlobStar state + this._process(noGlobStar, index, false) + + var len = entries.length + var isSym = this.symlinks[abs] + + // If it's a symlink, and we're in a globstar, then stop + if (isSym && inGlobStar) + return + + for (var i = 0; i < len; i++) { + var e = entries[i] + if (e.charAt(0) === '.' && !this.dot) + continue + + // these two cases enter the inGlobStar state + var instead = gspref.concat(entries[i], remainWithoutGlobStar) + this._process(instead, index, true) + + var below = gspref.concat(entries[i], remain) + this._process(below, index, true) + } +} + +GlobSync.prototype._processSimple = function (prefix, index) { + // XXX review this. Shouldn't it be doing the mounting etc + // before doing stat? kinda weird? + var exists = this._stat(prefix) + + if (!this.matches[index]) + this.matches[index] = Object.create(null) + + // If it doesn't exist, then just mark the lack of results + if (!exists) + return + + if (prefix && isAbsolute(prefix) && !this.nomount) { + var trail = /[\/\\]$/.test(prefix) + if (prefix.charAt(0) === '/') { + prefix = path.join(this.root, prefix) + } else { + prefix = path.resolve(this.root, prefix) + if (trail) + prefix += '/' + } + } + + if (process.platform === 'win32') + prefix = prefix.replace(/\\/g, '/') + + // Mark this as a match + this.matches[index][prefix] = true +} + +// Returns either 'DIR', 'FILE', or false +GlobSync.prototype._stat = function (f) { + var abs = this._makeAbs(f) + var needDir = f.slice(-1) === '/' + + if (f.length > this.maxLength) + return false + + if (!this.stat && ownProp(this.cache, abs)) { + var c = this.cache[abs] + + if (Array.isArray(c)) + c = 'DIR' + + // It exists, but maybe not how we need it + if (!needDir || c === 'DIR') + return c + + if (needDir && c === 'FILE') + return false + + // otherwise we have to stat, because maybe c=true + // if we know it exists, but not what it is. + } + + var exists + var stat = this.statCache[abs] + if (!stat) { + var lstat + try { + lstat = fs.lstatSync(abs) + } catch (er) { + return false + } + + if (lstat.isSymbolicLink()) { + try { + stat = fs.statSync(abs) + } catch (er) { + stat = lstat + } + } else { + stat = lstat + } + } + + this.statCache[abs] = stat + + var c = stat.isDirectory() ? 'DIR' : 'FILE' + this.cache[abs] = this.cache[abs] || c + + if (needDir && c !== 'DIR') + return false + + return c +} + +GlobSync.prototype._mark = function (p) { + return common.mark(this, p) +} + +GlobSync.prototype._makeAbs = function (f) { + return common.makeAbs(this, f) +} + +}).call(this,require('_process')) +},{"./common.js":15,"./glob.js":16,"_process":24,"assert":9,"fs":12,"minimatch":20,"path":22,"path-is-absolute":23,"util":28}],18:[function(require,module,exports){ +(function (process){ +var wrappy = require('wrappy') +var reqs = Object.create(null) +var once = require('once') + +module.exports = wrappy(inflight) + +function inflight (key, cb) { + if (reqs[key]) { + reqs[key].push(cb) + return null + } else { + reqs[key] = [cb] + return makeres(key) + } +} + +function makeres (key) { + return once(function RES () { + var cbs = reqs[key] + var len = cbs.length + var args = slice(arguments) + + // XXX It's somewhat ambiguous whether a new callback added in this + // pass should be queued for later execution if something in the + // list of callbacks throws, or if it should just be discarded. + // However, it's such an edge case that it hardly matters, and either + // choice is likely as surprising as the other. + // As it happens, we do go ahead and schedule it for later execution. + try { + for (var i = 0; i < len; i++) { + cbs[i].apply(null, args) + } + } finally { + if (cbs.length > len) { + // added more in the interim. + // de-zalgo, just in case, but don't call again. + cbs.splice(0, len) + process.nextTick(function () { + RES.apply(null, args) + }) + } else { + delete reqs[key] + } + } + }) +} + +function slice (args) { + var length = args.length + var array = [] + + for (var i = 0; i < length; i++) array[i] = args[i] + return array +} + +}).call(this,require('_process')) +},{"_process":24,"once":21,"wrappy":29}],19:[function(require,module,exports){ +if (typeof Object.create === 'function') { + // implementation from standard node.js 'util' module + module.exports = function inherits(ctor, superCtor) { + ctor.super_ = superCtor + ctor.prototype = Object.create(superCtor.prototype, { + constructor: { + value: ctor, + enumerable: false, + writable: true, + configurable: true + } + }); + }; +} else { + // old school shim for old browsers + module.exports = function inherits(ctor, superCtor) { + ctor.super_ = superCtor + var TempCtor = function () {} + TempCtor.prototype = superCtor.prototype + ctor.prototype = new TempCtor() + ctor.prototype.constructor = ctor + } +} + +},{}],20:[function(require,module,exports){ +module.exports = minimatch +minimatch.Minimatch = Minimatch + +var path = { sep: '/' } +try { + path = require('path') +} catch (er) {} + +var GLOBSTAR = minimatch.GLOBSTAR = Minimatch.GLOBSTAR = {} +var expand = require('brace-expansion') + +var plTypes = { + '!': { open: '(?:(?!(?:', close: '))[^/]*?)'}, + '?': { open: '(?:', close: ')?' }, + '+': { open: '(?:', close: ')+' }, + '*': { open: '(?:', close: ')*' }, + '@': { open: '(?:', close: ')' } +} + +// any single thing other than / +// don't need to escape / when using new RegExp() +var qmark = '[^/]' + +// * => any number of characters +var star = qmark + '*?' + +// ** when dots are allowed. Anything goes, except .. and . +// not (^ or / followed by one or two dots followed by $ or /), +// followed by anything, any number of times. +var twoStarDot = '(?:(?!(?:\\\/|^)(?:\\.{1,2})($|\\\/)).)*?' + +// not a ^ or / followed by a dot, +// followed by anything, any number of times. +var twoStarNoDot = '(?:(?!(?:\\\/|^)\\.).)*?' + +// characters that need to be escaped in RegExp. +var reSpecials = charSet('().*{}+?[]^$\\!') + +// "abc" -> { a:true, b:true, c:true } +function charSet (s) { + return s.split('').reduce(function (set, c) { + set[c] = true + return set + }, {}) +} + +// normalizes slashes. +var slashSplit = /\/+/ + +minimatch.filter = filter +function filter (pattern, options) { + options = options || {} + return function (p, i, list) { + return minimatch(p, pattern, options) + } +} + +function ext (a, b) { + a = a || {} + b = b || {} + var t = {} + Object.keys(b).forEach(function (k) { + t[k] = b[k] + }) + Object.keys(a).forEach(function (k) { + t[k] = a[k] + }) + return t +} + +minimatch.defaults = function (def) { + if (!def || !Object.keys(def).length) return minimatch + + var orig = minimatch + + var m = function minimatch (p, pattern, options) { + return orig.minimatch(p, pattern, ext(def, options)) + } + + m.Minimatch = function Minimatch (pattern, options) { + return new orig.Minimatch(pattern, ext(def, options)) + } + + return m +} + +Minimatch.defaults = function (def) { + if (!def || !Object.keys(def).length) return Minimatch + return minimatch.defaults(def).Minimatch +} + +function minimatch (p, pattern, options) { + if (typeof pattern !== 'string') { + throw new TypeError('glob pattern string required') + } + + if (!options) options = {} + + // shortcut: comments match nothing. + if (!options.nocomment && pattern.charAt(0) === '#') { + return false + } + + // "" only matches "" + if (pattern.trim() === '') return p === '' + + return new Minimatch(pattern, options).match(p) +} + +function Minimatch (pattern, options) { + if (!(this instanceof Minimatch)) { + return new Minimatch(pattern, options) + } + + if (typeof pattern !== 'string') { + throw new TypeError('glob pattern string required') + } + + if (!options) options = {} + pattern = pattern.trim() + + // windows support: need to use /, not \ + if (path.sep !== '/') { + pattern = pattern.split(path.sep).join('/') + } + + this.options = options + this.set = [] + this.pattern = pattern + this.regexp = null + this.negate = false + this.comment = false + this.empty = false + + // make the set of regexps etc. + this.make() +} + +Minimatch.prototype.debug = function () {} + +Minimatch.prototype.make = make +function make () { + // don't do it more than once. + if (this._made) return + + var pattern = this.pattern + var options = this.options + + // empty patterns and comments match nothing. + if (!options.nocomment && pattern.charAt(0) === '#') { + this.comment = true + return + } + if (!pattern) { + this.empty = true + return + } + + // step 1: figure out negation, etc. + this.parseNegate() + + // step 2: expand braces + var set = this.globSet = this.braceExpand() + + if (options.debug) this.debug = console.error + + this.debug(this.pattern, set) + + // step 3: now we have a set, so turn each one into a series of path-portion + // matching patterns. + // These will be regexps, except in the case of "**", which is + // set to the GLOBSTAR object for globstar behavior, + // and will not contain any / characters + set = this.globParts = set.map(function (s) { + return s.split(slashSplit) + }) + + this.debug(this.pattern, set) + + // glob --> regexps + set = set.map(function (s, si, set) { + return s.map(this.parse, this) + }, this) + + this.debug(this.pattern, set) + + // filter out everything that didn't compile properly. + set = set.filter(function (s) { + return s.indexOf(false) === -1 + }) + + this.debug(this.pattern, set) + + this.set = set +} + +Minimatch.prototype.parseNegate = parseNegate +function parseNegate () { + var pattern = this.pattern + var negate = false + var options = this.options + var negateOffset = 0 + + if (options.nonegate) return + + for (var i = 0, l = pattern.length + ; i < l && pattern.charAt(i) === '!' + ; i++) { + negate = !negate + negateOffset++ + } + + if (negateOffset) this.pattern = pattern.substr(negateOffset) + this.negate = negate +} + +// Brace expansion: +// a{b,c}d -> abd acd +// a{b,}c -> abc ac +// a{0..3}d -> a0d a1d a2d a3d +// a{b,c{d,e}f}g -> abg acdfg acefg +// a{b,c}d{e,f}g -> abdeg acdeg abdeg abdfg +// +// Invalid sets are not expanded. +// a{2..}b -> a{2..}b +// a{b}c -> a{b}c +minimatch.braceExpand = function (pattern, options) { + return braceExpand(pattern, options) +} + +Minimatch.prototype.braceExpand = braceExpand + +function braceExpand (pattern, options) { + if (!options) { + if (this instanceof Minimatch) { + options = this.options + } else { + options = {} + } + } + + pattern = typeof pattern === 'undefined' + ? this.pattern : pattern + + if (typeof pattern === 'undefined') { + throw new TypeError('undefined pattern') + } + + if (options.nobrace || + !pattern.match(/\{.*\}/)) { + // shortcut. no need to expand. + return [pattern] + } + + return expand(pattern) +} + +// parse a component of the expanded set. +// At this point, no pattern may contain "/" in it +// so we're going to return a 2d array, where each entry is the full +// pattern, split on '/', and then turned into a regular expression. +// A regexp is made at the end which joins each array with an +// escaped /, and another full one which joins each regexp with |. +// +// Following the lead of Bash 4.1, note that "**" only has special meaning +// when it is the *only* thing in a path portion. Otherwise, any series +// of * is equivalent to a single *. Globstar behavior is enabled by +// default, and can be disabled by setting options.noglobstar. +Minimatch.prototype.parse = parse +var SUBPARSE = {} +function parse (pattern, isSub) { + if (pattern.length > 1024 * 64) { + throw new TypeError('pattern is too long') + } + + var options = this.options + + // shortcuts + if (!options.noglobstar && pattern === '**') return GLOBSTAR + if (pattern === '') return '' + + var re = '' + var hasMagic = !!options.nocase + var escaping = false + // ? => one single character + var patternListStack = [] + var negativeLists = [] + var stateChar + var inClass = false + var reClassStart = -1 + var classStart = -1 + // . and .. never match anything that doesn't start with ., + // even when options.dot is set. + var patternStart = pattern.charAt(0) === '.' ? '' // anything + // not (start or / followed by . or .. followed by / or end) + : options.dot ? '(?!(?:^|\\\/)\\.{1,2}(?:$|\\\/))' + : '(?!\\.)' + var self = this + + function clearStateChar () { + if (stateChar) { + // we had some state-tracking character + // that wasn't consumed by this pass. + switch (stateChar) { + case '*': + re += star + hasMagic = true + break + case '?': + re += qmark + hasMagic = true + break + default: + re += '\\' + stateChar + break + } + self.debug('clearStateChar %j %j', stateChar, re) + stateChar = false + } + } + + for (var i = 0, len = pattern.length, c + ; (i < len) && (c = pattern.charAt(i)) + ; i++) { + this.debug('%s\t%s %s %j', pattern, i, re, c) + + // skip over any that are escaped. + if (escaping && reSpecials[c]) { + re += '\\' + c + escaping = false + continue + } + + switch (c) { + case '/': + // completely not allowed, even escaped. + // Should already be path-split by now. + return false + + case '\\': + clearStateChar() + escaping = true + continue + + // the various stateChar values + // for the "extglob" stuff. + case '?': + case '*': + case '+': + case '@': + case '!': + this.debug('%s\t%s %s %j <-- stateChar', pattern, i, re, c) + + // all of those are literals inside a class, except that + // the glob [!a] means [^a] in regexp + if (inClass) { + this.debug(' in class') + if (c === '!' && i === classStart + 1) c = '^' + re += c + continue + } + + // if we already have a stateChar, then it means + // that there was something like ** or +? in there. + // Handle the stateChar, then proceed with this one. + self.debug('call clearStateChar %j', stateChar) + clearStateChar() + stateChar = c + // if extglob is disabled, then +(asdf|foo) isn't a thing. + // just clear the statechar *now*, rather than even diving into + // the patternList stuff. + if (options.noext) clearStateChar() + continue + + case '(': + if (inClass) { + re += '(' + continue + } + + if (!stateChar) { + re += '\\(' + continue + } + + patternListStack.push({ + type: stateChar, + start: i - 1, + reStart: re.length, + open: plTypes[stateChar].open, + close: plTypes[stateChar].close + }) + // negation is (?:(?!js)[^/]*) + re += stateChar === '!' ? '(?:(?!(?:' : '(?:' + this.debug('plType %j %j', stateChar, re) + stateChar = false + continue + + case ')': + if (inClass || !patternListStack.length) { + re += '\\)' + continue + } + + clearStateChar() + hasMagic = true + var pl = patternListStack.pop() + // negation is (?:(?!js)[^/]*) + // The others are (?:) + re += pl.close + if (pl.type === '!') { + negativeLists.push(pl) + } + pl.reEnd = re.length + continue + + case '|': + if (inClass || !patternListStack.length || escaping) { + re += '\\|' + escaping = false + continue + } + + clearStateChar() + re += '|' + continue + + // these are mostly the same in regexp and glob + case '[': + // swallow any state-tracking char before the [ + clearStateChar() + + if (inClass) { + re += '\\' + c + continue + } + + inClass = true + classStart = i + reClassStart = re.length + re += c + continue + + case ']': + // a right bracket shall lose its special + // meaning and represent itself in + // a bracket expression if it occurs + // first in the list. -- POSIX.2 2.8.3.2 + if (i === classStart + 1 || !inClass) { + re += '\\' + c + escaping = false + continue + } + + // handle the case where we left a class open. + // "[z-a]" is valid, equivalent to "\[z-a\]" + if (inClass) { + // split where the last [ was, make sure we don't have + // an invalid re. if so, re-walk the contents of the + // would-be class to re-translate any characters that + // were passed through as-is + // TODO: It would probably be faster to determine this + // without a try/catch and a new RegExp, but it's tricky + // to do safely. For now, this is safe and works. + var cs = pattern.substring(classStart + 1, i) + try { + RegExp('[' + cs + ']') + } catch (er) { + // not a valid class! + var sp = this.parse(cs, SUBPARSE) + re = re.substr(0, reClassStart) + '\\[' + sp[0] + '\\]' + hasMagic = hasMagic || sp[1] + inClass = false + continue + } + } + + // finish up the class. + hasMagic = true + inClass = false + re += c + continue + + default: + // swallow any state char that wasn't consumed + clearStateChar() + + if (escaping) { + // no need + escaping = false + } else if (reSpecials[c] + && !(c === '^' && inClass)) { + re += '\\' + } + + re += c + + } // switch + } // for + + // handle the case where we left a class open. + // "[abc" is valid, equivalent to "\[abc" + if (inClass) { + // split where the last [ was, and escape it + // this is a huge pita. We now have to re-walk + // the contents of the would-be class to re-translate + // any characters that were passed through as-is + cs = pattern.substr(classStart + 1) + sp = this.parse(cs, SUBPARSE) + re = re.substr(0, reClassStart) + '\\[' + sp[0] + hasMagic = hasMagic || sp[1] + } + + // handle the case where we had a +( thing at the *end* + // of the pattern. + // each pattern list stack adds 3 chars, and we need to go through + // and escape any | chars that were passed through as-is for the regexp. + // Go through and escape them, taking care not to double-escape any + // | chars that were already escaped. + for (pl = patternListStack.pop(); pl; pl = patternListStack.pop()) { + var tail = re.slice(pl.reStart + pl.open.length) + this.debug('setting tail', re, pl) + // maybe some even number of \, then maybe 1 \, followed by a | + tail = tail.replace(/((?:\\{2}){0,64})(\\?)\|/g, function (_, $1, $2) { + if (!$2) { + // the | isn't already escaped, so escape it. + $2 = '\\' + } + + // need to escape all those slashes *again*, without escaping the + // one that we need for escaping the | character. As it works out, + // escaping an even number of slashes can be done by simply repeating + // it exactly after itself. That's why this trick works. + // + // I am sorry that you have to see this. + return $1 + $1 + $2 + '|' + }) + + this.debug('tail=%j\n %s', tail, tail, pl, re) + var t = pl.type === '*' ? star + : pl.type === '?' ? qmark + : '\\' + pl.type + + hasMagic = true + re = re.slice(0, pl.reStart) + t + '\\(' + tail + } + + // handle trailing things that only matter at the very end. + clearStateChar() + if (escaping) { + // trailing \\ + re += '\\\\' + } + + // only need to apply the nodot start if the re starts with + // something that could conceivably capture a dot + var addPatternStart = false + switch (re.charAt(0)) { + case '.': + case '[': + case '(': addPatternStart = true + } + + // Hack to work around lack of negative lookbehind in JS + // A pattern like: *.!(x).!(y|z) needs to ensure that a name + // like 'a.xyz.yz' doesn't match. So, the first negative + // lookahead, has to look ALL the way ahead, to the end of + // the pattern. + for (var n = negativeLists.length - 1; n > -1; n--) { + var nl = negativeLists[n] + + var nlBefore = re.slice(0, nl.reStart) + var nlFirst = re.slice(nl.reStart, nl.reEnd - 8) + var nlLast = re.slice(nl.reEnd - 8, nl.reEnd) + var nlAfter = re.slice(nl.reEnd) + + nlLast += nlAfter + + // Handle nested stuff like *(*.js|!(*.json)), where open parens + // mean that we should *not* include the ) in the bit that is considered + // "after" the negated section. + var openParensBefore = nlBefore.split('(').length - 1 + var cleanAfter = nlAfter + for (i = 0; i < openParensBefore; i++) { + cleanAfter = cleanAfter.replace(/\)[+*?]?/, '') + } + nlAfter = cleanAfter + + var dollar = '' + if (nlAfter === '' && isSub !== SUBPARSE) { + dollar = '$' + } + var newRe = nlBefore + nlFirst + nlAfter + dollar + nlLast + re = newRe + } + + // if the re is not "" at this point, then we need to make sure + // it doesn't match against an empty path part. + // Otherwise a/* will match a/, which it should not. + if (re !== '' && hasMagic) { + re = '(?=.)' + re + } + + if (addPatternStart) { + re = patternStart + re + } + + // parsing just a piece of a larger pattern. + if (isSub === SUBPARSE) { + return [re, hasMagic] + } + + // skip the regexp for non-magical patterns + // unescape anything in it, though, so that it'll be + // an exact match against a file etc. + if (!hasMagic) { + return globUnescape(pattern) + } + + var flags = options.nocase ? 'i' : '' + try { + var regExp = new RegExp('^' + re + '$', flags) + } catch (er) { + // If it was an invalid regular expression, then it can't match + // anything. This trick looks for a character after the end of + // the string, which is of course impossible, except in multi-line + // mode, but it's not a /m regex. + return new RegExp('$.') + } + + regExp._glob = pattern + regExp._src = re + + return regExp +} + +minimatch.makeRe = function (pattern, options) { + return new Minimatch(pattern, options || {}).makeRe() +} + +Minimatch.prototype.makeRe = makeRe +function makeRe () { + if (this.regexp || this.regexp === false) return this.regexp + + // at this point, this.set is a 2d array of partial + // pattern strings, or "**". + // + // It's better to use .match(). This function shouldn't + // be used, really, but it's pretty convenient sometimes, + // when you just want to work with a regex. + var set = this.set + + if (!set.length) { + this.regexp = false + return this.regexp + } + var options = this.options + + var twoStar = options.noglobstar ? star + : options.dot ? twoStarDot + : twoStarNoDot + var flags = options.nocase ? 'i' : '' + + var re = set.map(function (pattern) { + return pattern.map(function (p) { + return (p === GLOBSTAR) ? twoStar + : (typeof p === 'string') ? regExpEscape(p) + : p._src + }).join('\\\/') + }).join('|') + + // must match entire pattern + // ending in a * or ** will make it less strict. + re = '^(?:' + re + ')$' + + // can match anything, as long as it's not this. + if (this.negate) re = '^(?!' + re + ').*$' + + try { + this.regexp = new RegExp(re, flags) + } catch (ex) { + this.regexp = false + } + return this.regexp +} + +minimatch.match = function (list, pattern, options) { + options = options || {} + var mm = new Minimatch(pattern, options) + list = list.filter(function (f) { + return mm.match(f) + }) + if (mm.options.nonull && !list.length) { + list.push(pattern) + } + return list +} + +Minimatch.prototype.match = match +function match (f, partial) { + this.debug('match', f, this.pattern) + // short-circuit in the case of busted things. + // comments, etc. + if (this.comment) return false + if (this.empty) return f === '' + + if (f === '/' && partial) return true + + var options = this.options + + // windows: need to use /, not \ + if (path.sep !== '/') { + f = f.split(path.sep).join('/') + } + + // treat the test path as a set of pathparts. + f = f.split(slashSplit) + this.debug(this.pattern, 'split', f) + + // just ONE of the pattern sets in this.set needs to match + // in order for it to be valid. If negating, then just one + // match means that we have failed. + // Either way, return on the first hit. + + var set = this.set + this.debug(this.pattern, 'set', set) + + // Find the basename of the path by looking for the last non-empty segment + var filename + var i + for (i = f.length - 1; i >= 0; i--) { + filename = f[i] + if (filename) break + } + + for (i = 0; i < set.length; i++) { + var pattern = set[i] + var file = f + if (options.matchBase && pattern.length === 1) { + file = [filename] + } + var hit = this.matchOne(file, pattern, partial) + if (hit) { + if (options.flipNegate) return true + return !this.negate + } + } + + // didn't get any hits. this is success if it's a negative + // pattern, failure otherwise. + if (options.flipNegate) return false + return this.negate +} + +// set partial to true to test if, for example, +// "/a/b" matches the start of "/*/b/*/d" +// Partial means, if you run out of file before you run +// out of pattern, then that's fine, as long as all +// the parts match. +Minimatch.prototype.matchOne = function (file, pattern, partial) { + var options = this.options + + this.debug('matchOne', + { 'this': this, file: file, pattern: pattern }) + + this.debug('matchOne', file.length, pattern.length) + + for (var fi = 0, + pi = 0, + fl = file.length, + pl = pattern.length + ; (fi < fl) && (pi < pl) + ; fi++, pi++) { + this.debug('matchOne loop') + var p = pattern[pi] + var f = file[fi] + + this.debug(pattern, p, f) + + // should be impossible. + // some invalid regexp stuff in the set. + if (p === false) return false + + if (p === GLOBSTAR) { + this.debug('GLOBSTAR', [pattern, p, f]) + + // "**" + // a/**/b/**/c would match the following: + // a/b/x/y/z/c + // a/x/y/z/b/c + // a/b/x/b/x/c + // a/b/c + // To do this, take the rest of the pattern after + // the **, and see if it would match the file remainder. + // If so, return success. + // If not, the ** "swallows" a segment, and try again. + // This is recursively awful. + // + // a/**/b/**/c matching a/b/x/y/z/c + // - a matches a + // - doublestar + // - matchOne(b/x/y/z/c, b/**/c) + // - b matches b + // - doublestar + // - matchOne(x/y/z/c, c) -> no + // - matchOne(y/z/c, c) -> no + // - matchOne(z/c, c) -> no + // - matchOne(c, c) yes, hit + var fr = fi + var pr = pi + 1 + if (pr === pl) { + this.debug('** at the end') + // a ** at the end will just swallow the rest. + // We have found a match. + // however, it will not swallow /.x, unless + // options.dot is set. + // . and .. are *never* matched by **, for explosively + // exponential reasons. + for (; fi < fl; fi++) { + if (file[fi] === '.' || file[fi] === '..' || + (!options.dot && file[fi].charAt(0) === '.')) return false + } + return true + } + + // ok, let's see if we can swallow whatever we can. + while (fr < fl) { + var swallowee = file[fr] + + this.debug('\nglobstar while', file, fr, pattern, pr, swallowee) + + // XXX remove this slice. Just pass the start index. + if (this.matchOne(file.slice(fr), pattern.slice(pr), partial)) { + this.debug('globstar found match!', fr, fl, swallowee) + // found a match. + return true + } else { + // can't swallow "." or ".." ever. + // can only swallow ".foo" when explicitly asked. + if (swallowee === '.' || swallowee === '..' || + (!options.dot && swallowee.charAt(0) === '.')) { + this.debug('dot detected!', file, fr, pattern, pr) + break + } + + // ** swallows a segment, and continue. + this.debug('globstar swallow a segment, and continue') + fr++ + } + } + + // no match was found. + // However, in partial mode, we can't say this is necessarily over. + // If there's more *pattern* left, then + if (partial) { + // ran out of file + this.debug('\n>>> no match, partial?', file, fr, pattern, pr) + if (fr === fl) return true + } + return false + } + + // something other than ** + // non-magic patterns just have to match exactly + // patterns with magic have been turned into regexps. + var hit + if (typeof p === 'string') { + if (options.nocase) { + hit = f.toLowerCase() === p.toLowerCase() + } else { + hit = f === p + } + this.debug('string match', p, f, hit) + } else { + hit = f.match(p) + this.debug('pattern match', p, f, hit) + } + + if (!hit) return false + } + + // Note: ending in / means that we'll get a final "" + // at the end of the pattern. This can only match a + // corresponding "" at the end of the file. + // If the file ends in /, then it can only match a + // a pattern that ends in /, unless the pattern just + // doesn't have any more for it. But, a/b/ should *not* + // match "a/b/*", even though "" matches against the + // [^/]*? pattern, except in partial mode, where it might + // simply not be reached yet. + // However, a/b/ should still satisfy a/* + + // now either we fell off the end of the pattern, or we're done. + if (fi === fl && pi === pl) { + // ran out of pattern and filename at the same time. + // an exact hit! + return true + } else if (fi === fl) { + // ran out of file, but still had pattern left. + // this is ok if we're doing the match as part of + // a glob fs traversal. + return partial + } else if (pi === pl) { + // ran out of pattern, still have file left. + // this is only acceptable if we're on the very last + // empty segment of a file with a trailing slash. + // a/* should match a/b/ + var emptyFileEnd = (fi === fl - 1) && (file[fi] === '') + return emptyFileEnd + } + + // should be unreachable. + throw new Error('wtf?') +} + +// replace stuff like \* with * +function globUnescape (s) { + return s.replace(/\\(.)/g, '$1') +} + +function regExpEscape (s) { + return s.replace(/[-[\]{}()*+?.,\\^$|#\s]/g, '\\$&') +} + +},{"brace-expansion":11,"path":22}],21:[function(require,module,exports){ +var wrappy = require('wrappy') +module.exports = wrappy(once) +module.exports.strict = wrappy(onceStrict) + +once.proto = once(function () { + Object.defineProperty(Function.prototype, 'once', { + value: function () { + return once(this) + }, + configurable: true + }) + + Object.defineProperty(Function.prototype, 'onceStrict', { + value: function () { + return onceStrict(this) + }, + configurable: true + }) +}) + +function once (fn) { + var f = function () { + if (f.called) return f.value + f.called = true + return f.value = fn.apply(this, arguments) + } + f.called = false + return f +} + +function onceStrict (fn) { + var f = function () { + if (f.called) + throw new Error(f.onceError) + f.called = true + return f.value = fn.apply(this, arguments) + } + var name = fn.name || 'Function wrapped with `once`' + f.onceError = name + " shouldn't be called more than once" + f.called = false + return f +} + +},{"wrappy":29}],22:[function(require,module,exports){ +(function (process){ +// Copyright Joyent, Inc. and other Node contributors. +// +// Permission is hereby granted, free of charge, to any person obtaining a +// copy of this software and associated documentation files (the +// "Software"), to deal in the Software without restriction, including +// without limitation the rights to use, copy, modify, merge, publish, +// distribute, sublicense, and/or sell copies of the Software, and to permit +// persons to whom the Software is furnished to do so, subject to the +// following conditions: +// +// The above copyright notice and this permission notice shall be included +// in all copies or substantial portions of the Software. +// +// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS +// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN +// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, +// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR +// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE +// USE OR OTHER DEALINGS IN THE SOFTWARE. + +// resolves . and .. elements in a path array with directory names there +// must be no slashes, empty elements, or device names (c:\) in the array +// (so also no leading and trailing slashes - it does not distinguish +// relative and absolute paths) +function normalizeArray(parts, allowAboveRoot) { + // if the path tries to go above the root, `up` ends up > 0 + var up = 0; + for (var i = parts.length - 1; i >= 0; i--) { + var last = parts[i]; + if (last === '.') { + parts.splice(i, 1); + } else if (last === '..') { + parts.splice(i, 1); + up++; + } else if (up) { + parts.splice(i, 1); + up--; + } + } + + // if the path is allowed to go above the root, restore leading ..s + if (allowAboveRoot) { + for (; up--; up) { + parts.unshift('..'); + } + } + + return parts; +} + +// Split a filename into [root, dir, basename, ext], unix version +// 'root' is just a slash, or nothing. +var splitPathRe = + /^(\/?|)([\s\S]*?)((?:\.{1,2}|[^\/]+?|)(\.[^.\/]*|))(?:[\/]*)$/; +var splitPath = function(filename) { + return splitPathRe.exec(filename).slice(1); +}; + +// path.resolve([from ...], to) +// posix version +exports.resolve = function() { + var resolvedPath = '', + resolvedAbsolute = false; + + for (var i = arguments.length - 1; i >= -1 && !resolvedAbsolute; i--) { + var path = (i >= 0) ? arguments[i] : process.cwd(); + + // Skip empty and invalid entries + if (typeof path !== 'string') { + throw new TypeError('Arguments to path.resolve must be strings'); + } else if (!path) { + continue; + } + + resolvedPath = path + '/' + resolvedPath; + resolvedAbsolute = path.charAt(0) === '/'; + } + + // At this point the path should be resolved to a full absolute path, but + // handle relative paths to be safe (might happen when process.cwd() fails) + + // Normalize the path + resolvedPath = normalizeArray(filter(resolvedPath.split('/'), function(p) { + return !!p; + }), !resolvedAbsolute).join('/'); + + return ((resolvedAbsolute ? '/' : '') + resolvedPath) || '.'; +}; + +// path.normalize(path) +// posix version +exports.normalize = function(path) { + var isAbsolute = exports.isAbsolute(path), + trailingSlash = substr(path, -1) === '/'; + + // Normalize the path + path = normalizeArray(filter(path.split('/'), function(p) { + return !!p; + }), !isAbsolute).join('/'); + + if (!path && !isAbsolute) { + path = '.'; + } + if (path && trailingSlash) { + path += '/'; + } + + return (isAbsolute ? '/' : '') + path; +}; + +// posix version +exports.isAbsolute = function(path) { + return path.charAt(0) === '/'; +}; + +// posix version +exports.join = function() { + var paths = Array.prototype.slice.call(arguments, 0); + return exports.normalize(filter(paths, function(p, index) { + if (typeof p !== 'string') { + throw new TypeError('Arguments to path.join must be strings'); + } + return p; + }).join('/')); +}; + + +// path.relative(from, to) +// posix version +exports.relative = function(from, to) { + from = exports.resolve(from).substr(1); + to = exports.resolve(to).substr(1); + + function trim(arr) { + var start = 0; + for (; start < arr.length; start++) { + if (arr[start] !== '') break; + } + + var end = arr.length - 1; + for (; end >= 0; end--) { + if (arr[end] !== '') break; + } + + if (start > end) return []; + return arr.slice(start, end - start + 1); + } + + var fromParts = trim(from.split('/')); + var toParts = trim(to.split('/')); + + var length = Math.min(fromParts.length, toParts.length); + var samePartsLength = length; + for (var i = 0; i < length; i++) { + if (fromParts[i] !== toParts[i]) { + samePartsLength = i; + break; + } + } + + var outputParts = []; + for (var i = samePartsLength; i < fromParts.length; i++) { + outputParts.push('..'); + } + + outputParts = outputParts.concat(toParts.slice(samePartsLength)); + + return outputParts.join('/'); +}; + +exports.sep = '/'; +exports.delimiter = ':'; + +exports.dirname = function(path) { + var result = splitPath(path), + root = result[0], + dir = result[1]; + + if (!root && !dir) { + // No dirname whatsoever + return '.'; + } + + if (dir) { + // It has a dirname, strip trailing slash + dir = dir.substr(0, dir.length - 1); + } + + return root + dir; +}; + + +exports.basename = function(path, ext) { + var f = splitPath(path)[2]; + // TODO: make this comparison case-insensitive on windows? + if (ext && f.substr(-1 * ext.length) === ext) { + f = f.substr(0, f.length - ext.length); + } + return f; +}; + + +exports.extname = function(path) { + return splitPath(path)[3]; +}; + +function filter (xs, f) { + if (xs.filter) return xs.filter(f); + var res = []; + for (var i = 0; i < xs.length; i++) { + if (f(xs[i], i, xs)) res.push(xs[i]); + } + return res; +} + +// String.prototype.substr - negative index don't work in IE8 +var substr = 'ab'.substr(-1) === 'b' + ? function (str, start, len) { return str.substr(start, len) } + : function (str, start, len) { + if (start < 0) start = str.length + start; + return str.substr(start, len); + } +; + +}).call(this,require('_process')) +},{"_process":24}],23:[function(require,module,exports){ +(function (process){ +'use strict'; + +function posix(path) { + return path.charAt(0) === '/'; +} + +function win32(path) { + // https://github.com/nodejs/node/blob/b3fcc245fb25539909ef1d5eaa01dbf92e168633/lib/path.js#L56 + var splitDeviceRe = /^([a-zA-Z]:|[\\\/]{2}[^\\\/]+[\\\/]+[^\\\/]+)?([\\\/])?([\s\S]*?)$/; + var result = splitDeviceRe.exec(path); + var device = result[1] || ''; + var isUnc = Boolean(device && device.charAt(1) !== ':'); + + // UNC paths are always absolute + return Boolean(result[2] || isUnc); +} + +module.exports = process.platform === 'win32' ? win32 : posix; +module.exports.posix = posix; +module.exports.win32 = win32; + +}).call(this,require('_process')) +},{"_process":24}],24:[function(require,module,exports){ +// shim for using process in browser +var process = module.exports = {}; + +// cached from whatever global is present so that test runners that stub it +// don't break things. But we need to wrap it in a try catch in case it is +// wrapped in strict mode code which doesn't define any globals. It's inside a +// function because try/catches deoptimize in certain engines. + +var cachedSetTimeout; +var cachedClearTimeout; + +function defaultSetTimout() { + throw new Error('setTimeout has not been defined'); +} +function defaultClearTimeout () { + throw new Error('clearTimeout has not been defined'); +} +(function () { + try { + if (typeof setTimeout === 'function') { + cachedSetTimeout = setTimeout; + } else { + cachedSetTimeout = defaultSetTimout; + } + } catch (e) { + cachedSetTimeout = defaultSetTimout; + } + try { + if (typeof clearTimeout === 'function') { + cachedClearTimeout = clearTimeout; + } else { + cachedClearTimeout = defaultClearTimeout; + } + } catch (e) { + cachedClearTimeout = defaultClearTimeout; + } +} ()) +function runTimeout(fun) { + if (cachedSetTimeout === setTimeout) { + //normal enviroments in sane situations + return setTimeout(fun, 0); + } + // if setTimeout wasn't available but was latter defined + if ((cachedSetTimeout === defaultSetTimout || !cachedSetTimeout) && setTimeout) { + cachedSetTimeout = setTimeout; + return setTimeout(fun, 0); + } + try { + // when when somebody has screwed with setTimeout but no I.E. maddness + return cachedSetTimeout(fun, 0); + } catch(e){ + try { + // When we are in I.E. but the script has been evaled so I.E. doesn't trust the global object when called normally + return cachedSetTimeout.call(null, fun, 0); + } catch(e){ + // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error + return cachedSetTimeout.call(this, fun, 0); + } + } + + +} +function runClearTimeout(marker) { + if (cachedClearTimeout === clearTimeout) { + //normal enviroments in sane situations + return clearTimeout(marker); + } + // if clearTimeout wasn't available but was latter defined + if ((cachedClearTimeout === defaultClearTimeout || !cachedClearTimeout) && clearTimeout) { + cachedClearTimeout = clearTimeout; + return clearTimeout(marker); + } + try { + // when when somebody has screwed with setTimeout but no I.E. maddness + return cachedClearTimeout(marker); + } catch (e){ + try { + // When we are in I.E. but the script has been evaled so I.E. doesn't trust the global object when called normally + return cachedClearTimeout.call(null, marker); + } catch (e){ + // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error. + // Some versions of I.E. have different rules for clearTimeout vs setTimeout + return cachedClearTimeout.call(this, marker); + } + } + + + +} +var queue = []; +var draining = false; +var currentQueue; +var queueIndex = -1; + +function cleanUpNextTick() { + if (!draining || !currentQueue) { + return; + } + draining = false; + if (currentQueue.length) { + queue = currentQueue.concat(queue); + } else { + queueIndex = -1; + } + if (queue.length) { + drainQueue(); + } +} + +function drainQueue() { + if (draining) { + return; + } + var timeout = runTimeout(cleanUpNextTick); + draining = true; + + var len = queue.length; + while(len) { + currentQueue = queue; + queue = []; + while (++queueIndex < len) { + if (currentQueue) { + currentQueue[queueIndex].run(); + } + } + queueIndex = -1; + len = queue.length; + } + currentQueue = null; + draining = false; + runClearTimeout(timeout); +} + +process.nextTick = function (fun) { + var args = new Array(arguments.length - 1); + if (arguments.length > 1) { + for (var i = 1; i < arguments.length; i++) { + args[i - 1] = arguments[i]; + } + } + queue.push(new Item(fun, args)); + if (queue.length === 1 && !draining) { + runTimeout(drainQueue); + } +}; + +// v8 likes predictible objects +function Item(fun, array) { + this.fun = fun; + this.array = array; +} +Item.prototype.run = function () { + this.fun.apply(null, this.array); +}; +process.title = 'browser'; +process.browser = true; +process.env = {}; +process.argv = []; +process.version = ''; // empty string to avoid regexp issues +process.versions = {}; + +function noop() {} + +process.on = noop; +process.addListener = noop; +process.once = noop; +process.off = noop; +process.removeListener = noop; +process.removeAllListeners = noop; +process.emit = noop; +process.prependListener = noop; +process.prependOnceListener = noop; + +process.listeners = function (name) { return [] } + +process.binding = function (name) { + throw new Error('process.binding is not supported'); +}; + +process.cwd = function () { return '/' }; +process.chdir = function (dir) { + throw new Error('process.chdir is not supported'); +}; +process.umask = function() { return 0; }; + +},{}],25:[function(require,module,exports){ +// Underscore.js 1.8.3 +// http://underscorejs.org +// (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors +// Underscore may be freely distributed under the MIT license. + +(function() { + + // Baseline setup + // -------------- + + // Establish the root object, `window` in the browser, or `exports` on the server. + var root = this; + + // Save the previous value of the `_` variable. + var previousUnderscore = root._; + + // Save bytes in the minified (but not gzipped) version: + var ArrayProto = Array.prototype, ObjProto = Object.prototype, FuncProto = Function.prototype; + + // Create quick reference variables for speed access to core prototypes. + var + push = ArrayProto.push, + slice = ArrayProto.slice, + toString = ObjProto.toString, + hasOwnProperty = ObjProto.hasOwnProperty; + + // All **ECMAScript 5** native function implementations that we hope to use + // are declared here. + var + nativeIsArray = Array.isArray, + nativeKeys = Object.keys, + nativeBind = FuncProto.bind, + nativeCreate = Object.create; + + // Naked function reference for surrogate-prototype-swapping. + var Ctor = function(){}; + + // Create a safe reference to the Underscore object for use below. + var _ = function(obj) { + if (obj instanceof _) return obj; + if (!(this instanceof _)) return new _(obj); + this._wrapped = obj; + }; + + // Export the Underscore object for **Node.js**, with + // backwards-compatibility for the old `require()` API. If we're in + // the browser, add `_` as a global object. + if (typeof exports !== 'undefined') { + if (typeof module !== 'undefined' && module.exports) { + exports = module.exports = _; + } + exports._ = _; + } else { + root._ = _; + } + + // Current version. + _.VERSION = '1.8.3'; + + // Internal function that returns an efficient (for current engines) version + // of the passed-in callback, to be repeatedly applied in other Underscore + // functions. + var optimizeCb = function(func, context, argCount) { + if (context === void 0) return func; + switch (argCount == null ? 3 : argCount) { + case 1: return function(value) { + return func.call(context, value); + }; + case 2: return function(value, other) { + return func.call(context, value, other); + }; + case 3: return function(value, index, collection) { + return func.call(context, value, index, collection); + }; + case 4: return function(accumulator, value, index, collection) { + return func.call(context, accumulator, value, index, collection); + }; + } + return function() { + return func.apply(context, arguments); + }; + }; + + // A mostly-internal function to generate callbacks that can be applied + // to each element in a collection, returning the desired result — either + // identity, an arbitrary callback, a property matcher, or a property accessor. + var cb = function(value, context, argCount) { + if (value == null) return _.identity; + if (_.isFunction(value)) return optimizeCb(value, context, argCount); + if (_.isObject(value)) return _.matcher(value); + return _.property(value); + }; + _.iteratee = function(value, context) { + return cb(value, context, Infinity); + }; + + // An internal function for creating assigner functions. + var createAssigner = function(keysFunc, undefinedOnly) { + return function(obj) { + var length = arguments.length; + if (length < 2 || obj == null) return obj; + for (var index = 1; index < length; index++) { + var source = arguments[index], + keys = keysFunc(source), + l = keys.length; + for (var i = 0; i < l; i++) { + var key = keys[i]; + if (!undefinedOnly || obj[key] === void 0) obj[key] = source[key]; + } + } + return obj; + }; + }; + + // An internal function for creating a new object that inherits from another. + var baseCreate = function(prototype) { + if (!_.isObject(prototype)) return {}; + if (nativeCreate) return nativeCreate(prototype); + Ctor.prototype = prototype; + var result = new Ctor; + Ctor.prototype = null; + return result; + }; + + var property = function(key) { + return function(obj) { + return obj == null ? void 0 : obj[key]; + }; + }; + + // Helper for collection methods to determine whether a collection + // should be iterated as an array or as an object + // Related: http://people.mozilla.org/~jorendorff/es6-draft.html#sec-tolength + // Avoids a very nasty iOS 8 JIT bug on ARM-64. #2094 + var MAX_ARRAY_INDEX = Math.pow(2, 53) - 1; + var getLength = property('length'); + var isArrayLike = function(collection) { + var length = getLength(collection); + return typeof length == 'number' && length >= 0 && length <= MAX_ARRAY_INDEX; + }; + + // Collection Functions + // -------------------- + + // The cornerstone, an `each` implementation, aka `forEach`. + // Handles raw objects in addition to array-likes. Treats all + // sparse array-likes as if they were dense. + _.each = _.forEach = function(obj, iteratee, context) { + iteratee = optimizeCb(iteratee, context); + var i, length; + if (isArrayLike(obj)) { + for (i = 0, length = obj.length; i < length; i++) { + iteratee(obj[i], i, obj); + } + } else { + var keys = _.keys(obj); + for (i = 0, length = keys.length; i < length; i++) { + iteratee(obj[keys[i]], keys[i], obj); + } + } + return obj; + }; + + // Return the results of applying the iteratee to each element. + _.map = _.collect = function(obj, iteratee, context) { + iteratee = cb(iteratee, context); + var keys = !isArrayLike(obj) && _.keys(obj), + length = (keys || obj).length, + results = Array(length); + for (var index = 0; index < length; index++) { + var currentKey = keys ? keys[index] : index; + results[index] = iteratee(obj[currentKey], currentKey, obj); + } + return results; + }; + + // Create a reducing function iterating left or right. + function createReduce(dir) { + // Optimized iterator function as using arguments.length + // in the main function will deoptimize the, see #1991. + function iterator(obj, iteratee, memo, keys, index, length) { + for (; index >= 0 && index < length; index += dir) { + var currentKey = keys ? keys[index] : index; + memo = iteratee(memo, obj[currentKey], currentKey, obj); + } + return memo; + } + + return function(obj, iteratee, memo, context) { + iteratee = optimizeCb(iteratee, context, 4); + var keys = !isArrayLike(obj) && _.keys(obj), + length = (keys || obj).length, + index = dir > 0 ? 0 : length - 1; + // Determine the initial value if none is provided. + if (arguments.length < 3) { + memo = obj[keys ? keys[index] : index]; + index += dir; + } + return iterator(obj, iteratee, memo, keys, index, length); + }; + } + + // **Reduce** builds up a single result from a list of values, aka `inject`, + // or `foldl`. + _.reduce = _.foldl = _.inject = createReduce(1); + + // The right-associative version of reduce, also known as `foldr`. + _.reduceRight = _.foldr = createReduce(-1); + + // Return the first value which passes a truth test. Aliased as `detect`. + _.find = _.detect = function(obj, predicate, context) { + var key; + if (isArrayLike(obj)) { + key = _.findIndex(obj, predicate, context); + } else { + key = _.findKey(obj, predicate, context); + } + if (key !== void 0 && key !== -1) return obj[key]; + }; + + // Return all the elements that pass a truth test. + // Aliased as `select`. + _.filter = _.select = function(obj, predicate, context) { + var results = []; + predicate = cb(predicate, context); + _.each(obj, function(value, index, list) { + if (predicate(value, index, list)) results.push(value); + }); + return results; + }; + + // Return all the elements for which a truth test fails. + _.reject = function(obj, predicate, context) { + return _.filter(obj, _.negate(cb(predicate)), context); + }; + + // Determine whether all of the elements match a truth test. + // Aliased as `all`. + _.every = _.all = function(obj, predicate, context) { + predicate = cb(predicate, context); + var keys = !isArrayLike(obj) && _.keys(obj), + length = (keys || obj).length; + for (var index = 0; index < length; index++) { + var currentKey = keys ? keys[index] : index; + if (!predicate(obj[currentKey], currentKey, obj)) return false; + } + return true; + }; + + // Determine if at least one element in the object matches a truth test. + // Aliased as `any`. + _.some = _.any = function(obj, predicate, context) { + predicate = cb(predicate, context); + var keys = !isArrayLike(obj) && _.keys(obj), + length = (keys || obj).length; + for (var index = 0; index < length; index++) { + var currentKey = keys ? keys[index] : index; + if (predicate(obj[currentKey], currentKey, obj)) return true; + } + return false; + }; + + // Determine if the array or object contains a given item (using `===`). + // Aliased as `includes` and `include`. + _.contains = _.includes = _.include = function(obj, item, fromIndex, guard) { + if (!isArrayLike(obj)) obj = _.values(obj); + if (typeof fromIndex != 'number' || guard) fromIndex = 0; + return _.indexOf(obj, item, fromIndex) >= 0; + }; + + // Invoke a method (with arguments) on every item in a collection. + _.invoke = function(obj, method) { + var args = slice.call(arguments, 2); + var isFunc = _.isFunction(method); + return _.map(obj, function(value) { + var func = isFunc ? method : value[method]; + return func == null ? func : func.apply(value, args); + }); + }; + + // Convenience version of a common use case of `map`: fetching a property. + _.pluck = function(obj, key) { + return _.map(obj, _.property(key)); + }; + + // Convenience version of a common use case of `filter`: selecting only objects + // containing specific `key:value` pairs. + _.where = function(obj, attrs) { + return _.filter(obj, _.matcher(attrs)); + }; + + // Convenience version of a common use case of `find`: getting the first object + // containing specific `key:value` pairs. + _.findWhere = function(obj, attrs) { + return _.find(obj, _.matcher(attrs)); + }; + + // Return the maximum element (or element-based computation). + _.max = function(obj, iteratee, context) { + var result = -Infinity, lastComputed = -Infinity, + value, computed; + if (iteratee == null && obj != null) { + obj = isArrayLike(obj) ? obj : _.values(obj); + for (var i = 0, length = obj.length; i < length; i++) { + value = obj[i]; + if (value > result) { + result = value; + } + } + } else { + iteratee = cb(iteratee, context); + _.each(obj, function(value, index, list) { + computed = iteratee(value, index, list); + if (computed > lastComputed || computed === -Infinity && result === -Infinity) { + result = value; + lastComputed = computed; + } + }); + } + return result; + }; + + // Return the minimum element (or element-based computation). + _.min = function(obj, iteratee, context) { + var result = Infinity, lastComputed = Infinity, + value, computed; + if (iteratee == null && obj != null) { + obj = isArrayLike(obj) ? obj : _.values(obj); + for (var i = 0, length = obj.length; i < length; i++) { + value = obj[i]; + if (value < result) { + result = value; + } + } + } else { + iteratee = cb(iteratee, context); + _.each(obj, function(value, index, list) { + computed = iteratee(value, index, list); + if (computed < lastComputed || computed === Infinity && result === Infinity) { + result = value; + lastComputed = computed; + } + }); + } + return result; + }; + + // Shuffle a collection, using the modern version of the + // [Fisher-Yates shuffle](http://en.wikipedia.org/wiki/Fisher–Yates_shuffle). + _.shuffle = function(obj) { + var set = isArrayLike(obj) ? obj : _.values(obj); + var length = set.length; + var shuffled = Array(length); + for (var index = 0, rand; index < length; index++) { + rand = _.random(0, index); + if (rand !== index) shuffled[index] = shuffled[rand]; + shuffled[rand] = set[index]; + } + return shuffled; + }; + + // Sample **n** random values from a collection. + // If **n** is not specified, returns a single random element. + // The internal `guard` argument allows it to work with `map`. + _.sample = function(obj, n, guard) { + if (n == null || guard) { + if (!isArrayLike(obj)) obj = _.values(obj); + return obj[_.random(obj.length - 1)]; + } + return _.shuffle(obj).slice(0, Math.max(0, n)); + }; + + // Sort the object's values by a criterion produced by an iteratee. + _.sortBy = function(obj, iteratee, context) { + iteratee = cb(iteratee, context); + return _.pluck(_.map(obj, function(value, index, list) { + return { + value: value, + index: index, + criteria: iteratee(value, index, list) + }; + }).sort(function(left, right) { + var a = left.criteria; + var b = right.criteria; + if (a !== b) { + if (a > b || a === void 0) return 1; + if (a < b || b === void 0) return -1; + } + return left.index - right.index; + }), 'value'); + }; + + // An internal function used for aggregate "group by" operations. + var group = function(behavior) { + return function(obj, iteratee, context) { + var result = {}; + iteratee = cb(iteratee, context); + _.each(obj, function(value, index) { + var key = iteratee(value, index, obj); + behavior(result, value, key); + }); + return result; + }; + }; + + // Groups the object's values by a criterion. Pass either a string attribute + // to group by, or a function that returns the criterion. + _.groupBy = group(function(result, value, key) { + if (_.has(result, key)) result[key].push(value); else result[key] = [value]; + }); + + // Indexes the object's values by a criterion, similar to `groupBy`, but for + // when you know that your index values will be unique. + _.indexBy = group(function(result, value, key) { + result[key] = value; + }); + + // Counts instances of an object that group by a certain criterion. Pass + // either a string attribute to count by, or a function that returns the + // criterion. + _.countBy = group(function(result, value, key) { + if (_.has(result, key)) result[key]++; else result[key] = 1; + }); + + // Safely create a real, live array from anything iterable. + _.toArray = function(obj) { + if (!obj) return []; + if (_.isArray(obj)) return slice.call(obj); + if (isArrayLike(obj)) return _.map(obj, _.identity); + return _.values(obj); + }; + + // Return the number of elements in an object. + _.size = function(obj) { + if (obj == null) return 0; + return isArrayLike(obj) ? obj.length : _.keys(obj).length; + }; + + // Split a collection into two arrays: one whose elements all satisfy the given + // predicate, and one whose elements all do not satisfy the predicate. + _.partition = function(obj, predicate, context) { + predicate = cb(predicate, context); + var pass = [], fail = []; + _.each(obj, function(value, key, obj) { + (predicate(value, key, obj) ? pass : fail).push(value); + }); + return [pass, fail]; + }; + + // Array Functions + // --------------- + + // Get the first element of an array. Passing **n** will return the first N + // values in the array. Aliased as `head` and `take`. The **guard** check + // allows it to work with `_.map`. + _.first = _.head = _.take = function(array, n, guard) { + if (array == null) return void 0; + if (n == null || guard) return array[0]; + return _.initial(array, array.length - n); + }; + + // Returns everything but the last entry of the array. Especially useful on + // the arguments object. Passing **n** will return all the values in + // the array, excluding the last N. + _.initial = function(array, n, guard) { + return slice.call(array, 0, Math.max(0, array.length - (n == null || guard ? 1 : n))); + }; + + // Get the last element of an array. Passing **n** will return the last N + // values in the array. + _.last = function(array, n, guard) { + if (array == null) return void 0; + if (n == null || guard) return array[array.length - 1]; + return _.rest(array, Math.max(0, array.length - n)); + }; + + // Returns everything but the first entry of the array. Aliased as `tail` and `drop`. + // Especially useful on the arguments object. Passing an **n** will return + // the rest N values in the array. + _.rest = _.tail = _.drop = function(array, n, guard) { + return slice.call(array, n == null || guard ? 1 : n); + }; + + // Trim out all falsy values from an array. + _.compact = function(array) { + return _.filter(array, _.identity); + }; + + // Internal implementation of a recursive `flatten` function. + var flatten = function(input, shallow, strict, startIndex) { + var output = [], idx = 0; + for (var i = startIndex || 0, length = getLength(input); i < length; i++) { + var value = input[i]; + if (isArrayLike(value) && (_.isArray(value) || _.isArguments(value))) { + //flatten current level of array or arguments object + if (!shallow) value = flatten(value, shallow, strict); + var j = 0, len = value.length; + output.length += len; + while (j < len) { + output[idx++] = value[j++]; + } + } else if (!strict) { + output[idx++] = value; + } + } + return output; + }; + + // Flatten out an array, either recursively (by default), or just one level. + _.flatten = function(array, shallow) { + return flatten(array, shallow, false); + }; + + // Return a version of the array that does not contain the specified value(s). + _.without = function(array) { + return _.difference(array, slice.call(arguments, 1)); + }; + + // Produce a duplicate-free version of the array. If the array has already + // been sorted, you have the option of using a faster algorithm. + // Aliased as `unique`. + _.uniq = _.unique = function(array, isSorted, iteratee, context) { + if (!_.isBoolean(isSorted)) { + context = iteratee; + iteratee = isSorted; + isSorted = false; + } + if (iteratee != null) iteratee = cb(iteratee, context); + var result = []; + var seen = []; + for (var i = 0, length = getLength(array); i < length; i++) { + var value = array[i], + computed = iteratee ? iteratee(value, i, array) : value; + if (isSorted) { + if (!i || seen !== computed) result.push(value); + seen = computed; + } else if (iteratee) { + if (!_.contains(seen, computed)) { + seen.push(computed); + result.push(value); + } + } else if (!_.contains(result, value)) { + result.push(value); + } + } + return result; + }; + + // Produce an array that contains the union: each distinct element from all of + // the passed-in arrays. + _.union = function() { + return _.uniq(flatten(arguments, true, true)); + }; + + // Produce an array that contains every item shared between all the + // passed-in arrays. + _.intersection = function(array) { + var result = []; + var argsLength = arguments.length; + for (var i = 0, length = getLength(array); i < length; i++) { + var item = array[i]; + if (_.contains(result, item)) continue; + for (var j = 1; j < argsLength; j++) { + if (!_.contains(arguments[j], item)) break; + } + if (j === argsLength) result.push(item); + } + return result; + }; + + // Take the difference between one array and a number of other arrays. + // Only the elements present in just the first array will remain. + _.difference = function(array) { + var rest = flatten(arguments, true, true, 1); + return _.filter(array, function(value){ + return !_.contains(rest, value); + }); + }; + + // Zip together multiple lists into a single array -- elements that share + // an index go together. + _.zip = function() { + return _.unzip(arguments); + }; + + // Complement of _.zip. Unzip accepts an array of arrays and groups + // each array's elements on shared indices + _.unzip = function(array) { + var length = array && _.max(array, getLength).length || 0; + var result = Array(length); + + for (var index = 0; index < length; index++) { + result[index] = _.pluck(array, index); + } + return result; + }; + + // Converts lists into objects. Pass either a single array of `[key, value]` + // pairs, or two parallel arrays of the same length -- one of keys, and one of + // the corresponding values. + _.object = function(list, values) { + var result = {}; + for (var i = 0, length = getLength(list); i < length; i++) { + if (values) { + result[list[i]] = values[i]; + } else { + result[list[i][0]] = list[i][1]; + } + } + return result; + }; + + // Generator function to create the findIndex and findLastIndex functions + function createPredicateIndexFinder(dir) { + return function(array, predicate, context) { + predicate = cb(predicate, context); + var length = getLength(array); + var index = dir > 0 ? 0 : length - 1; + for (; index >= 0 && index < length; index += dir) { + if (predicate(array[index], index, array)) return index; + } + return -1; + }; + } + + // Returns the first index on an array-like that passes a predicate test + _.findIndex = createPredicateIndexFinder(1); + _.findLastIndex = createPredicateIndexFinder(-1); + + // Use a comparator function to figure out the smallest index at which + // an object should be inserted so as to maintain order. Uses binary search. + _.sortedIndex = function(array, obj, iteratee, context) { + iteratee = cb(iteratee, context, 1); + var value = iteratee(obj); + var low = 0, high = getLength(array); + while (low < high) { + var mid = Math.floor((low + high) / 2); + if (iteratee(array[mid]) < value) low = mid + 1; else high = mid; + } + return low; + }; + + // Generator function to create the indexOf and lastIndexOf functions + function createIndexFinder(dir, predicateFind, sortedIndex) { + return function(array, item, idx) { + var i = 0, length = getLength(array); + if (typeof idx == 'number') { + if (dir > 0) { + i = idx >= 0 ? idx : Math.max(idx + length, i); + } else { + length = idx >= 0 ? Math.min(idx + 1, length) : idx + length + 1; + } + } else if (sortedIndex && idx && length) { + idx = sortedIndex(array, item); + return array[idx] === item ? idx : -1; + } + if (item !== item) { + idx = predicateFind(slice.call(array, i, length), _.isNaN); + return idx >= 0 ? idx + i : -1; + } + for (idx = dir > 0 ? i : length - 1; idx >= 0 && idx < length; idx += dir) { + if (array[idx] === item) return idx; + } + return -1; + }; + } + + // Return the position of the first occurrence of an item in an array, + // or -1 if the item is not included in the array. + // If the array is large and already in sort order, pass `true` + // for **isSorted** to use binary search. + _.indexOf = createIndexFinder(1, _.findIndex, _.sortedIndex); + _.lastIndexOf = createIndexFinder(-1, _.findLastIndex); + + // Generate an integer Array containing an arithmetic progression. A port of + // the native Python `range()` function. See + // [the Python documentation](http://docs.python.org/library/functions.html#range). + _.range = function(start, stop, step) { + if (stop == null) { + stop = start || 0; + start = 0; + } + step = step || 1; + + var length = Math.max(Math.ceil((stop - start) / step), 0); + var range = Array(length); + + for (var idx = 0; idx < length; idx++, start += step) { + range[idx] = start; + } + + return range; + }; + + // Function (ahem) Functions + // ------------------ + + // Determines whether to execute a function as a constructor + // or a normal function with the provided arguments + var executeBound = function(sourceFunc, boundFunc, context, callingContext, args) { + if (!(callingContext instanceof boundFunc)) return sourceFunc.apply(context, args); + var self = baseCreate(sourceFunc.prototype); + var result = sourceFunc.apply(self, args); + if (_.isObject(result)) return result; + return self; + }; + + // Create a function bound to a given object (assigning `this`, and arguments, + // optionally). Delegates to **ECMAScript 5**'s native `Function.bind` if + // available. + _.bind = function(func, context) { + if (nativeBind && func.bind === nativeBind) return nativeBind.apply(func, slice.call(arguments, 1)); + if (!_.isFunction(func)) throw new TypeError('Bind must be called on a function'); + var args = slice.call(arguments, 2); + var bound = function() { + return executeBound(func, bound, context, this, args.concat(slice.call(arguments))); + }; + return bound; + }; + + // Partially apply a function by creating a version that has had some of its + // arguments pre-filled, without changing its dynamic `this` context. _ acts + // as a placeholder, allowing any combination of arguments to be pre-filled. + _.partial = function(func) { + var boundArgs = slice.call(arguments, 1); + var bound = function() { + var position = 0, length = boundArgs.length; + var args = Array(length); + for (var i = 0; i < length; i++) { + args[i] = boundArgs[i] === _ ? arguments[position++] : boundArgs[i]; + } + while (position < arguments.length) args.push(arguments[position++]); + return executeBound(func, bound, this, this, args); + }; + return bound; + }; + + // Bind a number of an object's methods to that object. Remaining arguments + // are the method names to be bound. Useful for ensuring that all callbacks + // defined on an object belong to it. + _.bindAll = function(obj) { + var i, length = arguments.length, key; + if (length <= 1) throw new Error('bindAll must be passed function names'); + for (i = 1; i < length; i++) { + key = arguments[i]; + obj[key] = _.bind(obj[key], obj); + } + return obj; + }; + + // Memoize an expensive function by storing its results. + _.memoize = function(func, hasher) { + var memoize = function(key) { + var cache = memoize.cache; + var address = '' + (hasher ? hasher.apply(this, arguments) : key); + if (!_.has(cache, address)) cache[address] = func.apply(this, arguments); + return cache[address]; + }; + memoize.cache = {}; + return memoize; + }; + + // Delays a function for the given number of milliseconds, and then calls + // it with the arguments supplied. + _.delay = function(func, wait) { + var args = slice.call(arguments, 2); + return setTimeout(function(){ + return func.apply(null, args); + }, wait); + }; + + // Defers a function, scheduling it to run after the current call stack has + // cleared. + _.defer = _.partial(_.delay, _, 1); + + // Returns a function, that, when invoked, will only be triggered at most once + // during a given window of time. Normally, the throttled function will run + // as much as it can, without ever going more than once per `wait` duration; + // but if you'd like to disable the execution on the leading edge, pass + // `{leading: false}`. To disable execution on the trailing edge, ditto. + _.throttle = function(func, wait, options) { + var context, args, result; + var timeout = null; + var previous = 0; + if (!options) options = {}; + var later = function() { + previous = options.leading === false ? 0 : _.now(); + timeout = null; + result = func.apply(context, args); + if (!timeout) context = args = null; + }; + return function() { + var now = _.now(); + if (!previous && options.leading === false) previous = now; + var remaining = wait - (now - previous); + context = this; + args = arguments; + if (remaining <= 0 || remaining > wait) { + if (timeout) { + clearTimeout(timeout); + timeout = null; + } + previous = now; + result = func.apply(context, args); + if (!timeout) context = args = null; + } else if (!timeout && options.trailing !== false) { + timeout = setTimeout(later, remaining); + } + return result; + }; + }; + + // Returns a function, that, as long as it continues to be invoked, will not + // be triggered. The function will be called after it stops being called for + // N milliseconds. If `immediate` is passed, trigger the function on the + // leading edge, instead of the trailing. + _.debounce = function(func, wait, immediate) { + var timeout, args, context, timestamp, result; + + var later = function() { + var last = _.now() - timestamp; + + if (last < wait && last >= 0) { + timeout = setTimeout(later, wait - last); + } else { + timeout = null; + if (!immediate) { + result = func.apply(context, args); + if (!timeout) context = args = null; + } + } + }; + + return function() { + context = this; + args = arguments; + timestamp = _.now(); + var callNow = immediate && !timeout; + if (!timeout) timeout = setTimeout(later, wait); + if (callNow) { + result = func.apply(context, args); + context = args = null; + } + + return result; + }; + }; + + // Returns the first function passed as an argument to the second, + // allowing you to adjust arguments, run code before and after, and + // conditionally execute the original function. + _.wrap = function(func, wrapper) { + return _.partial(wrapper, func); + }; + + // Returns a negated version of the passed-in predicate. + _.negate = function(predicate) { + return function() { + return !predicate.apply(this, arguments); + }; + }; + + // Returns a function that is the composition of a list of functions, each + // consuming the return value of the function that follows. + _.compose = function() { + var args = arguments; + var start = args.length - 1; + return function() { + var i = start; + var result = args[start].apply(this, arguments); + while (i--) result = args[i].call(this, result); + return result; + }; + }; + + // Returns a function that will only be executed on and after the Nth call. + _.after = function(times, func) { + return function() { + if (--times < 1) { + return func.apply(this, arguments); + } + }; + }; + + // Returns a function that will only be executed up to (but not including) the Nth call. + _.before = function(times, func) { + var memo; + return function() { + if (--times > 0) { + memo = func.apply(this, arguments); + } + if (times <= 1) func = null; + return memo; + }; + }; + + // Returns a function that will be executed at most one time, no matter how + // often you call it. Useful for lazy initialization. + _.once = _.partial(_.before, 2); + + // Object Functions + // ---------------- + + // Keys in IE < 9 that won't be iterated by `for key in ...` and thus missed. + var hasEnumBug = !{toString: null}.propertyIsEnumerable('toString'); + var nonEnumerableProps = ['valueOf', 'isPrototypeOf', 'toString', + 'propertyIsEnumerable', 'hasOwnProperty', 'toLocaleString']; + + function collectNonEnumProps(obj, keys) { + var nonEnumIdx = nonEnumerableProps.length; + var constructor = obj.constructor; + var proto = (_.isFunction(constructor) && constructor.prototype) || ObjProto; + + // Constructor is a special case. + var prop = 'constructor'; + if (_.has(obj, prop) && !_.contains(keys, prop)) keys.push(prop); + + while (nonEnumIdx--) { + prop = nonEnumerableProps[nonEnumIdx]; + if (prop in obj && obj[prop] !== proto[prop] && !_.contains(keys, prop)) { + keys.push(prop); + } + } + } + + // Retrieve the names of an object's own properties. + // Delegates to **ECMAScript 5**'s native `Object.keys` + _.keys = function(obj) { + if (!_.isObject(obj)) return []; + if (nativeKeys) return nativeKeys(obj); + var keys = []; + for (var key in obj) if (_.has(obj, key)) keys.push(key); + // Ahem, IE < 9. + if (hasEnumBug) collectNonEnumProps(obj, keys); + return keys; + }; + + // Retrieve all the property names of an object. + _.allKeys = function(obj) { + if (!_.isObject(obj)) return []; + var keys = []; + for (var key in obj) keys.push(key); + // Ahem, IE < 9. + if (hasEnumBug) collectNonEnumProps(obj, keys); + return keys; + }; + + // Retrieve the values of an object's properties. + _.values = function(obj) { + var keys = _.keys(obj); + var length = keys.length; + var values = Array(length); + for (var i = 0; i < length; i++) { + values[i] = obj[keys[i]]; + } + return values; + }; + + // Returns the results of applying the iteratee to each element of the object + // In contrast to _.map it returns an object + _.mapObject = function(obj, iteratee, context) { + iteratee = cb(iteratee, context); + var keys = _.keys(obj), + length = keys.length, + results = {}, + currentKey; + for (var index = 0; index < length; index++) { + currentKey = keys[index]; + results[currentKey] = iteratee(obj[currentKey], currentKey, obj); + } + return results; + }; + + // Convert an object into a list of `[key, value]` pairs. + _.pairs = function(obj) { + var keys = _.keys(obj); + var length = keys.length; + var pairs = Array(length); + for (var i = 0; i < length; i++) { + pairs[i] = [keys[i], obj[keys[i]]]; + } + return pairs; + }; + + // Invert the keys and values of an object. The values must be serializable. + _.invert = function(obj) { + var result = {}; + var keys = _.keys(obj); + for (var i = 0, length = keys.length; i < length; i++) { + result[obj[keys[i]]] = keys[i]; + } + return result; + }; + + // Return a sorted list of the function names available on the object. + // Aliased as `methods` + _.functions = _.methods = function(obj) { + var names = []; + for (var key in obj) { + if (_.isFunction(obj[key])) names.push(key); + } + return names.sort(); + }; + + // Extend a given object with all the properties in passed-in object(s). + _.extend = createAssigner(_.allKeys); + + // Assigns a given object with all the own properties in the passed-in object(s) + // (https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object/assign) + _.extendOwn = _.assign = createAssigner(_.keys); + + // Returns the first key on an object that passes a predicate test + _.findKey = function(obj, predicate, context) { + predicate = cb(predicate, context); + var keys = _.keys(obj), key; + for (var i = 0, length = keys.length; i < length; i++) { + key = keys[i]; + if (predicate(obj[key], key, obj)) return key; + } + }; + + // Return a copy of the object only containing the whitelisted properties. + _.pick = function(object, oiteratee, context) { + var result = {}, obj = object, iteratee, keys; + if (obj == null) return result; + if (_.isFunction(oiteratee)) { + keys = _.allKeys(obj); + iteratee = optimizeCb(oiteratee, context); + } else { + keys = flatten(arguments, false, false, 1); + iteratee = function(value, key, obj) { return key in obj; }; + obj = Object(obj); + } + for (var i = 0, length = keys.length; i < length; i++) { + var key = keys[i]; + var value = obj[key]; + if (iteratee(value, key, obj)) result[key] = value; + } + return result; + }; + + // Return a copy of the object without the blacklisted properties. + _.omit = function(obj, iteratee, context) { + if (_.isFunction(iteratee)) { + iteratee = _.negate(iteratee); + } else { + var keys = _.map(flatten(arguments, false, false, 1), String); + iteratee = function(value, key) { + return !_.contains(keys, key); + }; + } + return _.pick(obj, iteratee, context); + }; + + // Fill in a given object with default properties. + _.defaults = createAssigner(_.allKeys, true); + + // Creates an object that inherits from the given prototype object. + // If additional properties are provided then they will be added to the + // created object. + _.create = function(prototype, props) { + var result = baseCreate(prototype); + if (props) _.extendOwn(result, props); + return result; + }; + + // Create a (shallow-cloned) duplicate of an object. + _.clone = function(obj) { + if (!_.isObject(obj)) return obj; + return _.isArray(obj) ? obj.slice() : _.extend({}, obj); + }; + + // Invokes interceptor with the obj, and then returns obj. + // The primary purpose of this method is to "tap into" a method chain, in + // order to perform operations on intermediate results within the chain. + _.tap = function(obj, interceptor) { + interceptor(obj); + return obj; + }; + + // Returns whether an object has a given set of `key:value` pairs. + _.isMatch = function(object, attrs) { + var keys = _.keys(attrs), length = keys.length; + if (object == null) return !length; + var obj = Object(object); + for (var i = 0; i < length; i++) { + var key = keys[i]; + if (attrs[key] !== obj[key] || !(key in obj)) return false; + } + return true; + }; + + + // Internal recursive comparison function for `isEqual`. + var eq = function(a, b, aStack, bStack) { + // Identical objects are equal. `0 === -0`, but they aren't identical. + // See the [Harmony `egal` proposal](http://wiki.ecmascript.org/doku.php?id=harmony:egal). + if (a === b) return a !== 0 || 1 / a === 1 / b; + // A strict comparison is necessary because `null == undefined`. + if (a == null || b == null) return a === b; + // Unwrap any wrapped objects. + if (a instanceof _) a = a._wrapped; + if (b instanceof _) b = b._wrapped; + // Compare `[[Class]]` names. + var className = toString.call(a); + if (className !== toString.call(b)) return false; + switch (className) { + // Strings, numbers, regular expressions, dates, and booleans are compared by value. + case '[object RegExp]': + // RegExps are coerced to strings for comparison (Note: '' + /a/i === '/a/i') + case '[object String]': + // Primitives and their corresponding object wrappers are equivalent; thus, `"5"` is + // equivalent to `new String("5")`. + return '' + a === '' + b; + case '[object Number]': + // `NaN`s are equivalent, but non-reflexive. + // Object(NaN) is equivalent to NaN + if (+a !== +a) return +b !== +b; + // An `egal` comparison is performed for other numeric values. + return +a === 0 ? 1 / +a === 1 / b : +a === +b; + case '[object Date]': + case '[object Boolean]': + // Coerce dates and booleans to numeric primitive values. Dates are compared by their + // millisecond representations. Note that invalid dates with millisecond representations + // of `NaN` are not equivalent. + return +a === +b; + } + + var areArrays = className === '[object Array]'; + if (!areArrays) { + if (typeof a != 'object' || typeof b != 'object') return false; + + // Objects with different constructors are not equivalent, but `Object`s or `Array`s + // from different frames are. + var aCtor = a.constructor, bCtor = b.constructor; + if (aCtor !== bCtor && !(_.isFunction(aCtor) && aCtor instanceof aCtor && + _.isFunction(bCtor) && bCtor instanceof bCtor) + && ('constructor' in a && 'constructor' in b)) { + return false; + } + } + // Assume equality for cyclic structures. The algorithm for detecting cyclic + // structures is adapted from ES 5.1 section 15.12.3, abstract operation `JO`. + + // Initializing stack of traversed objects. + // It's done here since we only need them for objects and arrays comparison. + aStack = aStack || []; + bStack = bStack || []; + var length = aStack.length; + while (length--) { + // Linear search. Performance is inversely proportional to the number of + // unique nested structures. + if (aStack[length] === a) return bStack[length] === b; + } + + // Add the first object to the stack of traversed objects. + aStack.push(a); + bStack.push(b); + + // Recursively compare objects and arrays. + if (areArrays) { + // Compare array lengths to determine if a deep comparison is necessary. + length = a.length; + if (length !== b.length) return false; + // Deep compare the contents, ignoring non-numeric properties. + while (length--) { + if (!eq(a[length], b[length], aStack, bStack)) return false; + } + } else { + // Deep compare objects. + var keys = _.keys(a), key; + length = keys.length; + // Ensure that both objects contain the same number of properties before comparing deep equality. + if (_.keys(b).length !== length) return false; + while (length--) { + // Deep compare each member + key = keys[length]; + if (!(_.has(b, key) && eq(a[key], b[key], aStack, bStack))) return false; + } + } + // Remove the first object from the stack of traversed objects. + aStack.pop(); + bStack.pop(); + return true; + }; + + // Perform a deep comparison to check if two objects are equal. + _.isEqual = function(a, b) { + return eq(a, b); + }; + + // Is a given array, string, or object empty? + // An "empty" object has no enumerable own-properties. + _.isEmpty = function(obj) { + if (obj == null) return true; + if (isArrayLike(obj) && (_.isArray(obj) || _.isString(obj) || _.isArguments(obj))) return obj.length === 0; + return _.keys(obj).length === 0; + }; + + // Is a given value a DOM element? + _.isElement = function(obj) { + return !!(obj && obj.nodeType === 1); + }; + + // Is a given value an array? + // Delegates to ECMA5's native Array.isArray + _.isArray = nativeIsArray || function(obj) { + return toString.call(obj) === '[object Array]'; + }; + + // Is a given variable an object? + _.isObject = function(obj) { + var type = typeof obj; + return type === 'function' || type === 'object' && !!obj; + }; + + // Add some isType methods: isArguments, isFunction, isString, isNumber, isDate, isRegExp, isError. + _.each(['Arguments', 'Function', 'String', 'Number', 'Date', 'RegExp', 'Error'], function(name) { + _['is' + name] = function(obj) { + return toString.call(obj) === '[object ' + name + ']'; + }; + }); + + // Define a fallback version of the method in browsers (ahem, IE < 9), where + // there isn't any inspectable "Arguments" type. + if (!_.isArguments(arguments)) { + _.isArguments = function(obj) { + return _.has(obj, 'callee'); + }; + } + + // Optimize `isFunction` if appropriate. Work around some typeof bugs in old v8, + // IE 11 (#1621), and in Safari 8 (#1929). + if (typeof /./ != 'function' && typeof Int8Array != 'object') { + _.isFunction = function(obj) { + return typeof obj == 'function' || false; + }; + } + + // Is a given object a finite number? + _.isFinite = function(obj) { + return isFinite(obj) && !isNaN(parseFloat(obj)); + }; + + // Is the given value `NaN`? (NaN is the only number which does not equal itself). + _.isNaN = function(obj) { + return _.isNumber(obj) && obj !== +obj; + }; + + // Is a given value a boolean? + _.isBoolean = function(obj) { + return obj === true || obj === false || toString.call(obj) === '[object Boolean]'; + }; + + // Is a given value equal to null? + _.isNull = function(obj) { + return obj === null; + }; + + // Is a given variable undefined? + _.isUndefined = function(obj) { + return obj === void 0; + }; + + // Shortcut function for checking if an object has a given property directly + // on itself (in other words, not on a prototype). + _.has = function(obj, key) { + return obj != null && hasOwnProperty.call(obj, key); + }; + + // Utility Functions + // ----------------- + + // Run Underscore.js in *noConflict* mode, returning the `_` variable to its + // previous owner. Returns a reference to the Underscore object. + _.noConflict = function() { + root._ = previousUnderscore; + return this; + }; + + // Keep the identity function around for default iteratees. + _.identity = function(value) { + return value; + }; + + // Predicate-generating functions. Often useful outside of Underscore. + _.constant = function(value) { + return function() { + return value; + }; + }; + + _.noop = function(){}; + + _.property = property; + + // Generates a function for a given object that returns a given property. + _.propertyOf = function(obj) { + return obj == null ? function(){} : function(key) { + return obj[key]; + }; + }; + + // Returns a predicate for checking whether an object has a given set of + // `key:value` pairs. + _.matcher = _.matches = function(attrs) { + attrs = _.extendOwn({}, attrs); + return function(obj) { + return _.isMatch(obj, attrs); + }; + }; + + // Run a function **n** times. + _.times = function(n, iteratee, context) { + var accum = Array(Math.max(0, n)); + iteratee = optimizeCb(iteratee, context, 1); + for (var i = 0; i < n; i++) accum[i] = iteratee(i); + return accum; + }; + + // Return a random integer between min and max (inclusive). + _.random = function(min, max) { + if (max == null) { + max = min; + min = 0; + } + return min + Math.floor(Math.random() * (max - min + 1)); + }; + + // A (possibly faster) way to get the current timestamp as an integer. + _.now = Date.now || function() { + return new Date().getTime(); + }; + + // List of HTML entities for escaping. + var escapeMap = { + '&': '&', + '<': '<', + '>': '>', + '"': '"', + "'": ''', + '`': '`' + }; + var unescapeMap = _.invert(escapeMap); + + // Functions for escaping and unescaping strings to/from HTML interpolation. + var createEscaper = function(map) { + var escaper = function(match) { + return map[match]; + }; + // Regexes for identifying a key that needs to be escaped + var source = '(?:' + _.keys(map).join('|') + ')'; + var testRegexp = RegExp(source); + var replaceRegexp = RegExp(source, 'g'); + return function(string) { + string = string == null ? '' : '' + string; + return testRegexp.test(string) ? string.replace(replaceRegexp, escaper) : string; + }; + }; + _.escape = createEscaper(escapeMap); + _.unescape = createEscaper(unescapeMap); + + // If the value of the named `property` is a function then invoke it with the + // `object` as context; otherwise, return it. + _.result = function(object, property, fallback) { + var value = object == null ? void 0 : object[property]; + if (value === void 0) { + value = fallback; + } + return _.isFunction(value) ? value.call(object) : value; + }; + + // Generate a unique integer id (unique within the entire client session). + // Useful for temporary DOM ids. + var idCounter = 0; + _.uniqueId = function(prefix) { + var id = ++idCounter + ''; + return prefix ? prefix + id : id; + }; + + // By default, Underscore uses ERB-style template delimiters, change the + // following template settings to use alternative delimiters. + _.templateSettings = { + evaluate : /<%([\s\S]+?)%>/g, + interpolate : /<%=([\s\S]+?)%>/g, + escape : /<%-([\s\S]+?)%>/g + }; + + // When customizing `templateSettings`, if you don't want to define an + // interpolation, evaluation or escaping regex, we need one that is + // guaranteed not to match. + var noMatch = /(.)^/; + + // Certain characters need to be escaped so that they can be put into a + // string literal. + var escapes = { + "'": "'", + '\\': '\\', + '\r': 'r', + '\n': 'n', + '\u2028': 'u2028', + '\u2029': 'u2029' + }; + + var escaper = /\\|'|\r|\n|\u2028|\u2029/g; + + var escapeChar = function(match) { + return '\\' + escapes[match]; + }; + + // JavaScript micro-templating, similar to John Resig's implementation. + // Underscore templating handles arbitrary delimiters, preserves whitespace, + // and correctly escapes quotes within interpolated code. + // NB: `oldSettings` only exists for backwards compatibility. + _.template = function(text, settings, oldSettings) { + if (!settings && oldSettings) settings = oldSettings; + settings = _.defaults({}, settings, _.templateSettings); + + // Combine delimiters into one regular expression via alternation. + var matcher = RegExp([ + (settings.escape || noMatch).source, + (settings.interpolate || noMatch).source, + (settings.evaluate || noMatch).source + ].join('|') + '|$', 'g'); + + // Compile the template source, escaping string literals appropriately. + var index = 0; + var source = "__p+='"; + text.replace(matcher, function(match, escape, interpolate, evaluate, offset) { + source += text.slice(index, offset).replace(escaper, escapeChar); + index = offset + match.length; + + if (escape) { + source += "'+\n((__t=(" + escape + "))==null?'':_.escape(__t))+\n'"; + } else if (interpolate) { + source += "'+\n((__t=(" + interpolate + "))==null?'':__t)+\n'"; + } else if (evaluate) { + source += "';\n" + evaluate + "\n__p+='"; + } + + // Adobe VMs need the match returned to produce the correct offest. + return match; + }); + source += "';\n"; + + // If a variable is not specified, place data values in local scope. + if (!settings.variable) source = 'with(obj||{}){\n' + source + '}\n'; + + source = "var __t,__p='',__j=Array.prototype.join," + + "print=function(){__p+=__j.call(arguments,'');};\n" + + source + 'return __p;\n'; + + try { + var render = new Function(settings.variable || 'obj', '_', source); + } catch (e) { + e.source = source; + throw e; + } + + var template = function(data) { + return render.call(this, data, _); + }; + + // Provide the compiled source as a convenience for precompilation. + var argument = settings.variable || 'obj'; + template.source = 'function(' + argument + '){\n' + source + '}'; + + return template; + }; + + // Add a "chain" function. Start chaining a wrapped Underscore object. + _.chain = function(obj) { + var instance = _(obj); + instance._chain = true; + return instance; + }; + + // OOP + // --------------- + // If Underscore is called as a function, it returns a wrapped object that + // can be used OO-style. This wrapper holds altered versions of all the + // underscore functions. Wrapped objects may be chained. + + // Helper function to continue chaining intermediate results. + var result = function(instance, obj) { + return instance._chain ? _(obj).chain() : obj; + }; + + // Add your own custom functions to the Underscore object. + _.mixin = function(obj) { + _.each(_.functions(obj), function(name) { + var func = _[name] = obj[name]; + _.prototype[name] = function() { + var args = [this._wrapped]; + push.apply(args, arguments); + return result(this, func.apply(_, args)); + }; + }); + }; + + // Add all of the Underscore functions to the wrapper object. + _.mixin(_); + + // Add all mutator Array functions to the wrapper. + _.each(['pop', 'push', 'reverse', 'shift', 'sort', 'splice', 'unshift'], function(name) { + var method = ArrayProto[name]; + _.prototype[name] = function() { + var obj = this._wrapped; + method.apply(obj, arguments); + if ((name === 'shift' || name === 'splice') && obj.length === 0) delete obj[0]; + return result(this, obj); + }; + }); + + // Add all accessor Array functions to the wrapper. + _.each(['concat', 'join', 'slice'], function(name) { + var method = ArrayProto[name]; + _.prototype[name] = function() { + return result(this, method.apply(this._wrapped, arguments)); + }; + }); + + // Extracts the result from a wrapped and chained object. + _.prototype.value = function() { + return this._wrapped; + }; + + // Provide unwrapping proxy for some methods used in engine operations + // such as arithmetic and JSON stringification. + _.prototype.valueOf = _.prototype.toJSON = _.prototype.value; + + _.prototype.toString = function() { + return '' + this._wrapped; + }; + + // AMD registration happens at the end for compatibility with AMD loaders + // that may not enforce next-turn semantics on modules. Even though general + // practice for AMD registration is to be anonymous, underscore registers + // as a named module because, like jQuery, it is a base library that is + // popular enough to be bundled in a third party lib, but not be part of + // an AMD load request. Those cases could generate an error when an + // anonymous define() is called outside of a loader request. + if (typeof define === 'function' && define.amd) { + define('underscore', [], function() { + return _; + }); + } +}.call(this)); + +},{}],26:[function(require,module,exports){ +arguments[4][19][0].apply(exports,arguments) +},{"dup":19}],27:[function(require,module,exports){ +module.exports = function isBuffer(arg) { + return arg && typeof arg === 'object' + && typeof arg.copy === 'function' + && typeof arg.fill === 'function' + && typeof arg.readUInt8 === 'function'; +} +},{}],28:[function(require,module,exports){ +(function (process,global){ +// Copyright Joyent, Inc. and other Node contributors. +// +// Permission is hereby granted, free of charge, to any person obtaining a +// copy of this software and associated documentation files (the +// "Software"), to deal in the Software without restriction, including +// without limitation the rights to use, copy, modify, merge, publish, +// distribute, sublicense, and/or sell copies of the Software, and to permit +// persons to whom the Software is furnished to do so, subject to the +// following conditions: +// +// The above copyright notice and this permission notice shall be included +// in all copies or substantial portions of the Software. +// +// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS +// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN +// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, +// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR +// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE +// USE OR OTHER DEALINGS IN THE SOFTWARE. + +var formatRegExp = /%[sdj%]/g; +exports.format = function(f) { + if (!isString(f)) { + var objects = []; + for (var i = 0; i < arguments.length; i++) { + objects.push(inspect(arguments[i])); + } + return objects.join(' '); + } + + var i = 1; + var args = arguments; + var len = args.length; + var str = String(f).replace(formatRegExp, function(x) { + if (x === '%%') return '%'; + if (i >= len) return x; + switch (x) { + case '%s': return String(args[i++]); + case '%d': return Number(args[i++]); + case '%j': + try { + return JSON.stringify(args[i++]); + } catch (_) { + return '[Circular]'; + } + default: + return x; + } + }); + for (var x = args[i]; i < len; x = args[++i]) { + if (isNull(x) || !isObject(x)) { + str += ' ' + x; + } else { + str += ' ' + inspect(x); + } + } + return str; +}; + + +// Mark that a method should not be used. +// Returns a modified function which warns once by default. +// If --no-deprecation is set, then it is a no-op. +exports.deprecate = function(fn, msg) { + // Allow for deprecating things in the process of starting up. + if (isUndefined(global.process)) { + return function() { + return exports.deprecate(fn, msg).apply(this, arguments); + }; + } + + if (process.noDeprecation === true) { + return fn; + } + + var warned = false; + function deprecated() { + if (!warned) { + if (process.throwDeprecation) { + throw new Error(msg); + } else if (process.traceDeprecation) { + console.trace(msg); + } else { + console.error(msg); + } + warned = true; + } + return fn.apply(this, arguments); + } + + return deprecated; +}; + + +var debugs = {}; +var debugEnviron; +exports.debuglog = function(set) { + if (isUndefined(debugEnviron)) + debugEnviron = process.env.NODE_DEBUG || ''; + set = set.toUpperCase(); + if (!debugs[set]) { + if (new RegExp('\\b' + set + '\\b', 'i').test(debugEnviron)) { + var pid = process.pid; + debugs[set] = function() { + var msg = exports.format.apply(exports, arguments); + console.error('%s %d: %s', set, pid, msg); + }; + } else { + debugs[set] = function() {}; + } + } + return debugs[set]; +}; + + +/** + * Echos the value of a value. Trys to print the value out + * in the best way possible given the different types. + * + * @param {Object} obj The object to print out. + * @param {Object} opts Optional options object that alters the output. + */ +/* legacy: obj, showHidden, depth, colors*/ +function inspect(obj, opts) { + // default options + var ctx = { + seen: [], + stylize: stylizeNoColor + }; + // legacy... + if (arguments.length >= 3) ctx.depth = arguments[2]; + if (arguments.length >= 4) ctx.colors = arguments[3]; + if (isBoolean(opts)) { + // legacy... + ctx.showHidden = opts; + } else if (opts) { + // got an "options" object + exports._extend(ctx, opts); + } + // set default options + if (isUndefined(ctx.showHidden)) ctx.showHidden = false; + if (isUndefined(ctx.depth)) ctx.depth = 2; + if (isUndefined(ctx.colors)) ctx.colors = false; + if (isUndefined(ctx.customInspect)) ctx.customInspect = true; + if (ctx.colors) ctx.stylize = stylizeWithColor; + return formatValue(ctx, obj, ctx.depth); +} +exports.inspect = inspect; + + +// http://en.wikipedia.org/wiki/ANSI_escape_code#graphics +inspect.colors = { + 'bold' : [1, 22], + 'italic' : [3, 23], + 'underline' : [4, 24], + 'inverse' : [7, 27], + 'white' : [37, 39], + 'grey' : [90, 39], + 'black' : [30, 39], + 'blue' : [34, 39], + 'cyan' : [36, 39], + 'green' : [32, 39], + 'magenta' : [35, 39], + 'red' : [31, 39], + 'yellow' : [33, 39] +}; + +// Don't use 'blue' not visible on cmd.exe +inspect.styles = { + 'special': 'cyan', + 'number': 'yellow', + 'boolean': 'yellow', + 'undefined': 'grey', + 'null': 'bold', + 'string': 'green', + 'date': 'magenta', + // "name": intentionally not styling + 'regexp': 'red' +}; + + +function stylizeWithColor(str, styleType) { + var style = inspect.styles[styleType]; + + if (style) { + return '\u001b[' + inspect.colors[style][0] + 'm' + str + + '\u001b[' + inspect.colors[style][1] + 'm'; + } else { + return str; + } +} + + +function stylizeNoColor(str, styleType) { + return str; +} + + +function arrayToHash(array) { + var hash = {}; + + array.forEach(function(val, idx) { + hash[val] = true; + }); + + return hash; +} + + +function formatValue(ctx, value, recurseTimes) { + // Provide a hook for user-specified inspect functions. + // Check that value is an object with an inspect function on it + if (ctx.customInspect && + value && + isFunction(value.inspect) && + // Filter out the util module, it's inspect function is special + value.inspect !== exports.inspect && + // Also filter out any prototype objects using the circular check. + !(value.constructor && value.constructor.prototype === value)) { + var ret = value.inspect(recurseTimes, ctx); + if (!isString(ret)) { + ret = formatValue(ctx, ret, recurseTimes); + } + return ret; + } + + // Primitive types cannot have properties + var primitive = formatPrimitive(ctx, value); + if (primitive) { + return primitive; + } + + // Look up the keys of the object. + var keys = Object.keys(value); + var visibleKeys = arrayToHash(keys); + + if (ctx.showHidden) { + keys = Object.getOwnPropertyNames(value); + } + + // IE doesn't make error fields non-enumerable + // http://msdn.microsoft.com/en-us/library/ie/dww52sbt(v=vs.94).aspx + if (isError(value) + && (keys.indexOf('message') >= 0 || keys.indexOf('description') >= 0)) { + return formatError(value); + } + + // Some type of object without properties can be shortcutted. + if (keys.length === 0) { + if (isFunction(value)) { + var name = value.name ? ': ' + value.name : ''; + return ctx.stylize('[Function' + name + ']', 'special'); + } + if (isRegExp(value)) { + return ctx.stylize(RegExp.prototype.toString.call(value), 'regexp'); + } + if (isDate(value)) { + return ctx.stylize(Date.prototype.toString.call(value), 'date'); + } + if (isError(value)) { + return formatError(value); + } + } + + var base = '', array = false, braces = ['{', '}']; + + // Make Array say that they are Array + if (isArray(value)) { + array = true; + braces = ['[', ']']; + } + + // Make functions say that they are functions + if (isFunction(value)) { + var n = value.name ? ': ' + value.name : ''; + base = ' [Function' + n + ']'; + } + + // Make RegExps say that they are RegExps + if (isRegExp(value)) { + base = ' ' + RegExp.prototype.toString.call(value); + } + + // Make dates with properties first say the date + if (isDate(value)) { + base = ' ' + Date.prototype.toUTCString.call(value); + } + + // Make error with message first say the error + if (isError(value)) { + base = ' ' + formatError(value); + } + + if (keys.length === 0 && (!array || value.length == 0)) { + return braces[0] + base + braces[1]; + } + + if (recurseTimes < 0) { + if (isRegExp(value)) { + return ctx.stylize(RegExp.prototype.toString.call(value), 'regexp'); + } else { + return ctx.stylize('[Object]', 'special'); + } + } + + ctx.seen.push(value); + + var output; + if (array) { + output = formatArray(ctx, value, recurseTimes, visibleKeys, keys); + } else { + output = keys.map(function(key) { + return formatProperty(ctx, value, recurseTimes, visibleKeys, key, array); + }); + } + + ctx.seen.pop(); + + return reduceToSingleString(output, base, braces); +} + + +function formatPrimitive(ctx, value) { + if (isUndefined(value)) + return ctx.stylize('undefined', 'undefined'); + if (isString(value)) { + var simple = '\'' + JSON.stringify(value).replace(/^"|"$/g, '') + .replace(/'/g, "\\'") + .replace(/\\"/g, '"') + '\''; + return ctx.stylize(simple, 'string'); + } + if (isNumber(value)) + return ctx.stylize('' + value, 'number'); + if (isBoolean(value)) + return ctx.stylize('' + value, 'boolean'); + // For some reason typeof null is "object", so special case here. + if (isNull(value)) + return ctx.stylize('null', 'null'); +} + + +function formatError(value) { + return '[' + Error.prototype.toString.call(value) + ']'; +} + + +function formatArray(ctx, value, recurseTimes, visibleKeys, keys) { + var output = []; + for (var i = 0, l = value.length; i < l; ++i) { + if (hasOwnProperty(value, String(i))) { + output.push(formatProperty(ctx, value, recurseTimes, visibleKeys, + String(i), true)); + } else { + output.push(''); + } + } + keys.forEach(function(key) { + if (!key.match(/^\d+$/)) { + output.push(formatProperty(ctx, value, recurseTimes, visibleKeys, + key, true)); + } + }); + return output; +} + + +function formatProperty(ctx, value, recurseTimes, visibleKeys, key, array) { + var name, str, desc; + desc = Object.getOwnPropertyDescriptor(value, key) || { value: value[key] }; + if (desc.get) { + if (desc.set) { + str = ctx.stylize('[Getter/Setter]', 'special'); + } else { + str = ctx.stylize('[Getter]', 'special'); + } + } else { + if (desc.set) { + str = ctx.stylize('[Setter]', 'special'); + } + } + if (!hasOwnProperty(visibleKeys, key)) { + name = '[' + key + ']'; + } + if (!str) { + if (ctx.seen.indexOf(desc.value) < 0) { + if (isNull(recurseTimes)) { + str = formatValue(ctx, desc.value, null); + } else { + str = formatValue(ctx, desc.value, recurseTimes - 1); + } + if (str.indexOf('\n') > -1) { + if (array) { + str = str.split('\n').map(function(line) { + return ' ' + line; + }).join('\n').substr(2); + } else { + str = '\n' + str.split('\n').map(function(line) { + return ' ' + line; + }).join('\n'); + } + } + } else { + str = ctx.stylize('[Circular]', 'special'); + } + } + if (isUndefined(name)) { + if (array && key.match(/^\d+$/)) { + return str; + } + name = JSON.stringify('' + key); + if (name.match(/^"([a-zA-Z_][a-zA-Z_0-9]*)"$/)) { + name = name.substr(1, name.length - 2); + name = ctx.stylize(name, 'name'); + } else { + name = name.replace(/'/g, "\\'") + .replace(/\\"/g, '"') + .replace(/(^"|"$)/g, "'"); + name = ctx.stylize(name, 'string'); + } + } + + return name + ': ' + str; +} + + +function reduceToSingleString(output, base, braces) { + var numLinesEst = 0; + var length = output.reduce(function(prev, cur) { + numLinesEst++; + if (cur.indexOf('\n') >= 0) numLinesEst++; + return prev + cur.replace(/\u001b\[\d\d?m/g, '').length + 1; + }, 0); + + if (length > 60) { + return braces[0] + + (base === '' ? '' : base + '\n ') + + ' ' + + output.join(',\n ') + + ' ' + + braces[1]; + } + + return braces[0] + base + ' ' + output.join(', ') + ' ' + braces[1]; +} + + +// NOTE: These type checking functions intentionally don't use `instanceof` +// because it is fragile and can be easily faked with `Object.create()`. +function isArray(ar) { + return Array.isArray(ar); +} +exports.isArray = isArray; + +function isBoolean(arg) { + return typeof arg === 'boolean'; +} +exports.isBoolean = isBoolean; + +function isNull(arg) { + return arg === null; +} +exports.isNull = isNull; + +function isNullOrUndefined(arg) { + return arg == null; +} +exports.isNullOrUndefined = isNullOrUndefined; + +function isNumber(arg) { + return typeof arg === 'number'; +} +exports.isNumber = isNumber; + +function isString(arg) { + return typeof arg === 'string'; +} +exports.isString = isString; + +function isSymbol(arg) { + return typeof arg === 'symbol'; +} +exports.isSymbol = isSymbol; + +function isUndefined(arg) { + return arg === void 0; +} +exports.isUndefined = isUndefined; + +function isRegExp(re) { + return isObject(re) && objectToString(re) === '[object RegExp]'; +} +exports.isRegExp = isRegExp; + +function isObject(arg) { + return typeof arg === 'object' && arg !== null; +} +exports.isObject = isObject; + +function isDate(d) { + return isObject(d) && objectToString(d) === '[object Date]'; +} +exports.isDate = isDate; + +function isError(e) { + return isObject(e) && + (objectToString(e) === '[object Error]' || e instanceof Error); +} +exports.isError = isError; + +function isFunction(arg) { + return typeof arg === 'function'; +} +exports.isFunction = isFunction; + +function isPrimitive(arg) { + return arg === null || + typeof arg === 'boolean' || + typeof arg === 'number' || + typeof arg === 'string' || + typeof arg === 'symbol' || // ES6 symbol + typeof arg === 'undefined'; +} +exports.isPrimitive = isPrimitive; + +exports.isBuffer = require('./support/isBuffer'); + +function objectToString(o) { + return Object.prototype.toString.call(o); +} + + +function pad(n) { + return n < 10 ? '0' + n.toString(10) : n.toString(10); +} + + +var months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', + 'Oct', 'Nov', 'Dec']; + +// 26 Feb 16:19:34 +function timestamp() { + var d = new Date(); + var time = [pad(d.getHours()), + pad(d.getMinutes()), + pad(d.getSeconds())].join(':'); + return [d.getDate(), months[d.getMonth()], time].join(' '); +} + + +// log is just a thin wrapper to console.log that prepends a timestamp +exports.log = function() { + console.log('%s - %s', timestamp(), exports.format.apply(exports, arguments)); +}; + + +/** + * Inherit the prototype methods from one constructor into another. + * + * The Function.prototype.inherits from lang.js rewritten as a standalone + * function (not on Function.prototype). NOTE: If this file is to be loaded + * during bootstrapping this function needs to be rewritten using some native + * functions as prototype setup using normal JavaScript does not work as + * expected during bootstrapping (see mirror.js in r114903). + * + * @param {function} ctor Constructor function which needs to inherit the + * prototype. + * @param {function} superCtor Constructor function to inherit prototype from. + */ +exports.inherits = require('inherits'); + +exports._extend = function(origin, add) { + // Don't do anything if add isn't an object + if (!add || !isObject(add)) return origin; + + var keys = Object.keys(add); + var i = keys.length; + while (i--) { + origin[keys[i]] = add[keys[i]]; + } + return origin; +}; + +function hasOwnProperty(obj, prop) { + return Object.prototype.hasOwnProperty.call(obj, prop); +} + +}).call(this,require('_process'),typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) +},{"./support/isBuffer":27,"_process":24,"inherits":26}],29:[function(require,module,exports){ +// Returns a wrapper function that returns a wrapped callback +// The wrapper function should do some stuff, and return a +// presumably different callback function. +// This makes sure that own properties are retained, so that +// decorations and such are not lost along the way. +module.exports = wrappy +function wrappy (fn, cb) { + if (fn && cb) return wrappy(fn)(cb) + + if (typeof fn !== 'function') + throw new TypeError('need wrapper function') + + Object.keys(fn).forEach(function (k) { + wrapper[k] = fn[k] + }) + + return wrapper + + function wrapper() { + var args = new Array(arguments.length) + for (var i = 0; i < args.length; i++) { + args[i] = arguments[i] + } + var ret = fn.apply(this, args) + var cb = args[args.length-1] + if (typeof ret === 'function' && ret !== cb) { + Object.keys(cb).forEach(function (k) { + ret[k] = cb[k] + }) + } + return ret + } +} + +},{}]},{},[7])(7) +}); \ No newline at end of file diff --git a/assets/javascripts/workers/search.16e2a7d4.min.js b/assets/javascripts/workers/search.16e2a7d4.min.js new file mode 100644 index 0000000..e0dc159 --- /dev/null +++ b/assets/javascripts/workers/search.16e2a7d4.min.js @@ -0,0 +1,48 @@ +"use strict";(()=>{var ge=Object.create;var W=Object.defineProperty,ye=Object.defineProperties,me=Object.getOwnPropertyDescriptor,ve=Object.getOwnPropertyDescriptors,xe=Object.getOwnPropertyNames,G=Object.getOwnPropertySymbols,Se=Object.getPrototypeOf,X=Object.prototype.hasOwnProperty,Qe=Object.prototype.propertyIsEnumerable;var J=(t,e,r)=>e in t?W(t,e,{enumerable:!0,configurable:!0,writable:!0,value:r}):t[e]=r,M=(t,e)=>{for(var r in e||(e={}))X.call(e,r)&&J(t,r,e[r]);if(G)for(var r of G(e))Qe.call(e,r)&&J(t,r,e[r]);return t},Z=(t,e)=>ye(t,ve(e));var K=(t,e)=>()=>(e||t((e={exports:{}}).exports,e),e.exports);var be=(t,e,r,n)=>{if(e&&typeof e=="object"||typeof e=="function")for(let i of xe(e))!X.call(t,i)&&i!==r&&W(t,i,{get:()=>e[i],enumerable:!(n=me(e,i))||n.enumerable});return t};var H=(t,e,r)=>(r=t!=null?ge(Se(t)):{},be(e||!t||!t.__esModule?W(r,"default",{value:t,enumerable:!0}):r,t));var z=(t,e,r)=>new Promise((n,i)=>{var s=u=>{try{a(r.next(u))}catch(c){i(c)}},o=u=>{try{a(r.throw(u))}catch(c){i(c)}},a=u=>u.done?n(u.value):Promise.resolve(u.value).then(s,o);a((r=r.apply(t,e)).next())});var re=K((ee,te)=>{/** + * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.9 + * Copyright (C) 2020 Oliver Nightingale + * @license MIT + */(function(){var t=function(e){var r=new t.Builder;return r.pipeline.add(t.trimmer,t.stopWordFilter,t.stemmer),r.searchPipeline.add(t.stemmer),e.call(r,r),r.build()};t.version="2.3.9";/*! + * lunr.utils + * Copyright (C) 2020 Oliver Nightingale + */t.utils={},t.utils.warn=function(e){return function(r){e.console&&console.warn&&console.warn(r)}}(this),t.utils.asString=function(e){return e==null?"":e.toString()},t.utils.clone=function(e){if(e==null)return e;for(var r=Object.create(null),n=Object.keys(e),i=0;i0){var h=t.utils.clone(r)||{};h.position=[a,c],h.index=s.length,s.push(new t.Token(n.slice(a,o),h))}a=o+1}}return s},t.tokenizer.separator=/[\s\-]+/;/*! + * lunr.Pipeline + * Copyright (C) 2020 Oliver Nightingale + */t.Pipeline=function(){this._stack=[]},t.Pipeline.registeredFunctions=Object.create(null),t.Pipeline.registerFunction=function(e,r){r in this.registeredFunctions&&t.utils.warn("Overwriting existing registered function: "+r),e.label=r,t.Pipeline.registeredFunctions[e.label]=e},t.Pipeline.warnIfFunctionNotRegistered=function(e){var r=e.label&&e.label in this.registeredFunctions;r||t.utils.warn(`Function is not registered with pipeline. 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this.pos1&&(e.backup(),e.emit(t.QueryLexer.TERM)),e.ignore(),e.more())return t.QueryLexer.lexText},t.QueryLexer.lexEditDistance=function(e){return e.ignore(),e.acceptDigitRun(),e.emit(t.QueryLexer.EDIT_DISTANCE),t.QueryLexer.lexText},t.QueryLexer.lexBoost=function(e){return e.ignore(),e.acceptDigitRun(),e.emit(t.QueryLexer.BOOST),t.QueryLexer.lexText},t.QueryLexer.lexEOS=function(e){e.width()>0&&e.emit(t.QueryLexer.TERM)},t.QueryLexer.termSeparator=t.tokenizer.separator,t.QueryLexer.lexText=function(e){for(;;){var r=e.next();if(r==t.QueryLexer.EOS)return t.QueryLexer.lexEOS;if(r.charCodeAt(0)==92){e.escapeCharacter();continue}if(r==":")return t.QueryLexer.lexField;if(r=="~")return e.backup(),e.width()>0&&e.emit(t.QueryLexer.TERM),t.QueryLexer.lexEditDistance;if(r=="^")return e.backup(),e.width()>0&&e.emit(t.QueryLexer.TERM),t.QueryLexer.lexBoost;if(r=="+"&&e.width()===1||r=="-"&&e.width()===1)return e.emit(t.QueryLexer.PRESENCE),t.QueryLexer.lexText;if(r.match(t.QueryLexer.termSeparator))return t.QueryLexer.lexTerm}},t.QueryParser=function(e,r){this.lexer=new t.QueryLexer(e),this.query=r,this.currentClause={},this.lexemeIdx=0},t.QueryParser.prototype.parse=function(){this.lexer.run(),this.lexemes=this.lexer.lexemes;for(var e=t.QueryParser.parseClause;e;)e=e(this);return this.query},t.QueryParser.prototype.peekLexeme=function(){return this.lexemes[this.lexemeIdx]},t.QueryParser.prototype.consumeLexeme=function(){var e=this.peekLexeme();return this.lexemeIdx+=1,e},t.QueryParser.prototype.nextClause=function(){var e=this.currentClause;this.query.clause(e),this.currentClause={}},t.QueryParser.parseClause=function(e){var r=e.peekLexeme();if(r!=null)switch(r.type){case t.QueryLexer.PRESENCE:return t.QueryParser.parsePresence;case t.QueryLexer.FIELD:return t.QueryParser.parseField;case t.QueryLexer.TERM:return t.QueryParser.parseTerm;default:var n="expected either a field or a term, found "+r.type;throw r.str.length>=1&&(n+=" with value '"+r.str+"'"),new t.QueryParseError(n,r.start,r.end)}},t.QueryParser.parsePresence=function(e){var r=e.consumeLexeme();if(r!=null){switch(r.str){case"-":e.currentClause.presence=t.Query.presence.PROHIBITED;break;case"+":e.currentClause.presence=t.Query.presence.REQUIRED;break;default:var n="unrecognised presence operator'"+r.str+"'";throw new t.QueryParseError(n,r.start,r.end)}var i=e.peekLexeme();if(i==null){var n="expecting term or field, found nothing";throw new t.QueryParseError(n,r.start,r.end)}switch(i.type){case t.QueryLexer.FIELD:return t.QueryParser.parseField;case t.QueryLexer.TERM:return t.QueryParser.parseTerm;default:var n="expecting term or field, found '"+i.type+"'";throw new t.QueryParseError(n,i.start,i.end)}}},t.QueryParser.parseField=function(e){var r=e.consumeLexeme();if(r!=null){if(e.query.allFields.indexOf(r.str)==-1){var n=e.query.allFields.map(function(o){return"'"+o+"'"}).join(", "),i="unrecognised field '"+r.str+"', possible fields: "+n;throw new t.QueryParseError(i,r.start,r.end)}e.currentClause.fields=[r.str];var s=e.peekLexeme();if(s==null){var i="expecting term, found nothing";throw new t.QueryParseError(i,r.start,r.end)}switch(s.type){case t.QueryLexer.TERM:return t.QueryParser.parseTerm;default:var i="expecting term, found '"+s.type+"'";throw new t.QueryParseError(i,s.start,s.end)}}},t.QueryParser.parseTerm=function(e){var r=e.consumeLexeme();if(r!=null){e.currentClause.term=r.str.toLowerCase(),r.str.indexOf("*")!=-1&&(e.currentClause.usePipeline=!1);var n=e.peekLexeme();if(n==null){e.nextClause();return}switch(n.type){case t.QueryLexer.TERM:return e.nextClause(),t.QueryParser.parseTerm;case t.QueryLexer.FIELD:return e.nextClause(),t.QueryParser.parseField;case t.QueryLexer.EDIT_DISTANCE:return t.QueryParser.parseEditDistance;case t.QueryLexer.BOOST:return t.QueryParser.parseBoost;case t.QueryLexer.PRESENCE:return e.nextClause(),t.QueryParser.parsePresence;default:var i="Unexpected lexeme type '"+n.type+"'";throw new t.QueryParseError(i,n.start,n.end)}}},t.QueryParser.parseEditDistance=function(e){var r=e.consumeLexeme();if(r!=null){var n=parseInt(r.str,10);if(isNaN(n)){var i="edit distance must be numeric";throw new t.QueryParseError(i,r.start,r.end)}e.currentClause.editDistance=n;var s=e.peekLexeme();if(s==null){e.nextClause();return}switch(s.type){case t.QueryLexer.TERM:return e.nextClause(),t.QueryParser.parseTerm;case t.QueryLexer.FIELD:return e.nextClause(),t.QueryParser.parseField;case t.QueryLexer.EDIT_DISTANCE:return t.QueryParser.parseEditDistance;case t.QueryLexer.BOOST:return t.QueryParser.parseBoost;case t.QueryLexer.PRESENCE:return e.nextClause(),t.QueryParser.parsePresence;default:var i="Unexpected lexeme type '"+s.type+"'";throw new t.QueryParseError(i,s.start,s.end)}}},t.QueryParser.parseBoost=function(e){var r=e.consumeLexeme();if(r!=null){var n=parseInt(r.str,10);if(isNaN(n)){var i="boost must be numeric";throw new t.QueryParseError(i,r.start,r.end)}e.currentClause.boost=n;var s=e.peekLexeme();if(s==null){e.nextClause();return}switch(s.type){case t.QueryLexer.TERM:return e.nextClause(),t.QueryParser.parseTerm;case t.QueryLexer.FIELD:return e.nextClause(),t.QueryParser.parseField;case t.QueryLexer.EDIT_DISTANCE:return t.QueryParser.parseEditDistance;case t.QueryLexer.BOOST:return t.QueryParser.parseBoost;case t.QueryLexer.PRESENCE:return e.nextClause(),t.QueryParser.parsePresence;default:var i="Unexpected lexeme type '"+s.type+"'";throw new t.QueryParseError(i,s.start,s.end)}}},function(e,r){typeof define=="function"&&define.amd?define(r):typeof ee=="object"?te.exports=r():e.lunr=r()}(this,function(){return t})})()});var q=K((Re,ne)=>{"use strict";/*! + * escape-html + * Copyright(c) 2012-2013 TJ Holowaychuk + * Copyright(c) 2015 Andreas Lubbe + * Copyright(c) 2015 Tiancheng "Timothy" Gu + * MIT Licensed + */var Le=/["'&<>]/;ne.exports=we;function we(t){var e=""+t,r=Le.exec(e);if(!r)return e;var n,i="",s=0,o=0;for(s=r.index;s=0;r--){let n=t[r];typeof n=="string"?n=document.createTextNode(n):n.parentNode&&n.parentNode.removeChild(n),r?e.insertBefore(this.previousSibling,n):e.replaceChild(n,this)}}}));var ie=H(q());function se(t){let e=new Map,r=new Set;for(let n of t){let[i,s]=n.location.split("#"),o=n.location,a=n.title,u=n.tags,c=(0,ie.default)(n.text).replace(/\s+(?=[,.:;!?])/g,"").replace(/\s+/g," ");if(s){let h=e.get(i);r.has(h)?e.set(o,{location:o,title:a,text:c,parent:h}):(h.title=n.title,h.text=c,r.add(h))}else e.set(o,M({location:o,title:a,text:c},u&&{tags:u}))}return e}var oe=H(q());function ae(t,e){let r=new RegExp(t.separator,"img"),n=(i,s,o)=>`${s}${o}`;return i=>{i=i.replace(/[\s*+\-:~^]+/g," ").trim();let s=new RegExp(`(^|${t.separator})(${i.replace(/[|\\{}()[\]^$+*?.-]/g,"\\$&").replace(r,"|")})`,"img");return o=>(e?(0,oe.default)(o):o).replace(s,n).replace(/<\/mark>(\s+)]*>/img,"$1")}}function ue(t){let e=new lunr.Query(["title","text"]);return new lunr.QueryParser(t,e).parse(),e.clauses}function ce(t,e){var i;let r=new Set(t),n={};for(let s=0;s!n.has(i)))]}var U=class{constructor({config:e,docs:r,options:n}){this.options=n,this.documents=se(r),this.highlight=ae(e,!1),lunr.tokenizer.separator=new RegExp(e.separator),this.index=lunr(function(){e.lang.length===1&&e.lang[0]!=="en"?this.use(lunr[e.lang[0]]):e.lang.length>1&&this.use(lunr.multiLanguage(...e.lang));let i=Ee(["trimmer","stopWordFilter","stemmer"],n.pipeline);for(let s of e.lang.map(o=>o==="en"?lunr:lunr[o]))for(let o of i)this.pipeline.remove(s[o]),this.searchPipeline.remove(s[o]);this.ref("location"),this.field("title",{boost:1e3}),this.field("text"),this.field("tags",{boost:1e6,extractor:s=>{let{tags:o=[]}=s;return o.reduce((a,u)=>[...a,...lunr.tokenizer(u)],[])}});for(let s of r)this.add(s,{boost:s.boost})})}search(e){if(e)try{let r=this.highlight(e),n=ue(e).filter(o=>o.presence!==lunr.Query.presence.PROHIBITED),i=this.index.search(`${e}*`).reduce((o,{ref:a,score:u,matchData:c})=>{let h=this.documents.get(a);if(typeof h!="undefined"){let{location:y,title:g,text:b,tags:m,parent:Q}=h,p=ce(n,Object.keys(c.metadata)),d=+!Q+ +Object.values(p).every(w=>w);o.push(Z(M({location:y,title:r(g),text:r(b)},m&&{tags:m.map(r)}),{score:u*(1+d),terms:p}))}return o},[]).sort((o,a)=>a.score-o.score).reduce((o,a)=>{let u=this.documents.get(a.location);if(typeof u!="undefined"){let c="parent"in u?u.parent.location:u.location;o.set(c,[...o.get(c)||[],a])}return o},new Map),s;if(this.options.suggestions){let o=this.index.query(a=>{for(let u of n)a.term(u.term,{fields:["title"],presence:lunr.Query.presence.REQUIRED,wildcard:lunr.Query.wildcard.TRAILING})});s=o.length?Object.keys(o[0].matchData.metadata):[]}return M({items:[...i.values()]},typeof s!="undefined"&&{suggestions:s})}catch(r){console.warn(`Invalid query: ${e} \u2013 see https://bit.ly/2s3ChXG`)}return{items:[]}}};var Y;function ke(t){return z(this,null,function*(){let e="../lunr";if(typeof parent!="undefined"&&"IFrameWorker"in parent){let n=document.querySelector("script[src]"),[i]=n.src.split("/worker");e=e.replace("..",i)}let r=[];for(let n of t.lang){switch(n){case"ja":r.push(`${e}/tinyseg.js`);break;case"hi":case"th":r.push(`${e}/wordcut.js`);break}n!=="en"&&r.push(`${e}/min/lunr.${n}.min.js`)}t.lang.length>1&&r.push(`${e}/min/lunr.multi.min.js`),r.length&&(yield importScripts(`${e}/min/lunr.stemmer.support.min.js`,...r))})}function Te(t){return z(this,null,function*(){switch(t.type){case 0:return yield ke(t.data.config),Y=new U(t.data),{type:1};case 2:return{type:3,data:Y?Y.search(t.data):{items:[]}};default:throw new TypeError("Invalid message type")}})}self.lunr=le.default;addEventListener("message",t=>z(void 0,null,function*(){postMessage(yield Te(t.data))}));})(); +//# sourceMappingURL=search.16e2a7d4.min.js.map + diff --git a/assets/javascripts/workers/search.16e2a7d4.min.js.map b/assets/javascripts/workers/search.16e2a7d4.min.js.map new file mode 100644 index 0000000..fa01f37 --- /dev/null +++ b/assets/javascripts/workers/search.16e2a7d4.min.js.map @@ -0,0 +1,8 @@ +{ + "version": 3, + "sources": ["node_modules/lunr/lunr.js", "node_modules/escape-html/index.js", "src/assets/javascripts/integrations/search/worker/main/index.ts", "src/assets/javascripts/polyfills/index.ts", "src/assets/javascripts/integrations/search/document/index.ts", "src/assets/javascripts/integrations/search/highlighter/index.ts", "src/assets/javascripts/integrations/search/query/_/index.ts", "src/assets/javascripts/integrations/search/_/index.ts"], + "sourceRoot": "../../../..", + "sourcesContent": ["/**\n * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.9\n * Copyright (C) 2020 Oliver Nightingale\n * @license MIT\n */\n\n;(function(){\n\n/**\n * A convenience function for configuring and constructing\n * a new lunr Index.\n *\n * A lunr.Builder instance is created and the pipeline setup\n * with a trimmer, stop word filter and stemmer.\n *\n * This builder object is yielded to the configuration function\n * that is passed as a parameter, allowing the list of fields\n * and other builder parameters to be customised.\n *\n * All documents _must_ be added within the passed config function.\n *\n * @example\n * var idx = lunr(function () {\n * this.field('title')\n * this.field('body')\n * this.ref('id')\n *\n * documents.forEach(function (doc) {\n * this.add(doc)\n * }, this)\n * })\n *\n * @see {@link lunr.Builder}\n * @see {@link lunr.Pipeline}\n * @see {@link lunr.trimmer}\n * @see {@link lunr.stopWordFilter}\n * @see {@link lunr.stemmer}\n * @namespace {function} lunr\n */\nvar lunr = function (config) {\n var builder = new lunr.Builder\n\n builder.pipeline.add(\n lunr.trimmer,\n lunr.stopWordFilter,\n lunr.stemmer\n )\n\n builder.searchPipeline.add(\n lunr.stemmer\n )\n\n config.call(builder, builder)\n return builder.build()\n}\n\nlunr.version = \"2.3.9\"\n/*!\n * lunr.utils\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A namespace containing utils for the rest of the lunr library\n * @namespace lunr.utils\n */\nlunr.utils = {}\n\n/**\n * Print a warning message to the console.\n *\n * @param {String} message The message to be printed.\n * @memberOf lunr.utils\n * @function\n */\nlunr.utils.warn = (function (global) {\n /* eslint-disable no-console */\n return function (message) {\n if (global.console && console.warn) {\n console.warn(message)\n }\n }\n /* eslint-enable no-console */\n})(this)\n\n/**\n * Convert an object to a string.\n *\n * In the case of `null` and `undefined` the function returns\n * the empty string, in all other cases the result of calling\n * `toString` on the passed object is returned.\n *\n * @param {Any} obj The object to convert to a string.\n * @return {String} string representation of the passed object.\n * @memberOf lunr.utils\n */\nlunr.utils.asString = function (obj) {\n if (obj === void 0 || obj === null) {\n return \"\"\n } else {\n return obj.toString()\n }\n}\n\n/**\n * Clones an object.\n *\n * Will create a copy of an existing object such that any mutations\n * on the copy cannot affect the original.\n *\n * Only shallow objects are supported, passing a nested object to this\n * function will cause a TypeError.\n *\n * Objects with primitives, and arrays of primitives are supported.\n *\n * @param {Object} obj The object to clone.\n * @return {Object} a clone of the passed object.\n * @throws {TypeError} when a nested object is passed.\n * @memberOf Utils\n */\nlunr.utils.clone = function (obj) {\n if (obj === null || obj === undefined) {\n return obj\n }\n\n var clone = Object.create(null),\n keys = Object.keys(obj)\n\n for (var i = 0; i < keys.length; i++) {\n var key = keys[i],\n val = obj[key]\n\n if (Array.isArray(val)) {\n clone[key] = val.slice()\n continue\n }\n\n if (typeof val === 'string' ||\n typeof val === 'number' ||\n typeof val === 'boolean') {\n clone[key] = val\n continue\n }\n\n throw new TypeError(\"clone is not deep and does not support nested objects\")\n }\n\n return clone\n}\nlunr.FieldRef = function (docRef, fieldName, stringValue) {\n this.docRef = docRef\n this.fieldName = fieldName\n this._stringValue = stringValue\n}\n\nlunr.FieldRef.joiner = \"/\"\n\nlunr.FieldRef.fromString = function (s) {\n var n = s.indexOf(lunr.FieldRef.joiner)\n\n if (n === -1) {\n throw \"malformed field ref string\"\n }\n\n var fieldRef = s.slice(0, n),\n docRef = s.slice(n + 1)\n\n return new lunr.FieldRef (docRef, fieldRef, s)\n}\n\nlunr.FieldRef.prototype.toString = function () {\n if (this._stringValue == undefined) {\n this._stringValue = this.fieldName + lunr.FieldRef.joiner + this.docRef\n }\n\n return this._stringValue\n}\n/*!\n * lunr.Set\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A lunr set.\n *\n * @constructor\n */\nlunr.Set = function (elements) {\n this.elements = Object.create(null)\n\n if (elements) {\n this.length = elements.length\n\n for (var i = 0; i < this.length; i++) {\n this.elements[elements[i]] = true\n }\n } else {\n this.length = 0\n }\n}\n\n/**\n * A complete set that contains all elements.\n *\n * @static\n * @readonly\n * @type {lunr.Set}\n */\nlunr.Set.complete = {\n intersect: function (other) {\n return other\n },\n\n union: function () {\n return this\n },\n\n contains: function () {\n return true\n }\n}\n\n/**\n * An empty set that contains no elements.\n *\n * @static\n * @readonly\n * @type {lunr.Set}\n */\nlunr.Set.empty = {\n intersect: function () {\n return this\n },\n\n union: function (other) {\n return other\n },\n\n contains: function () {\n return false\n }\n}\n\n/**\n * Returns true if this set contains the specified object.\n *\n * @param {object} object - Object whose presence in this set is to be tested.\n * @returns {boolean} - True if this set contains the specified object.\n */\nlunr.Set.prototype.contains = function (object) {\n return !!this.elements[object]\n}\n\n/**\n * Returns a new set containing only the elements that are present in both\n * this set and the specified set.\n *\n * @param {lunr.Set} other - set to intersect with this set.\n * @returns {lunr.Set} a new set that is the intersection of this and the specified set.\n */\n\nlunr.Set.prototype.intersect = function (other) {\n var a, b, elements, intersection = []\n\n if (other === lunr.Set.complete) {\n return this\n }\n\n if (other === lunr.Set.empty) {\n return other\n }\n\n if (this.length < other.length) {\n a = this\n b = other\n } else {\n a = other\n b = this\n }\n\n elements = Object.keys(a.elements)\n\n for (var i = 0; i < elements.length; i++) {\n var element = elements[i]\n if (element in b.elements) {\n intersection.push(element)\n }\n }\n\n return new lunr.Set (intersection)\n}\n\n/**\n * Returns a new set combining the elements of this and the specified set.\n *\n * @param {lunr.Set} other - set to union with this set.\n * @return {lunr.Set} a new set that is the union of this and the specified set.\n */\n\nlunr.Set.prototype.union = function (other) {\n if (other === lunr.Set.complete) {\n return lunr.Set.complete\n }\n\n if (other === lunr.Set.empty) {\n return this\n }\n\n return new lunr.Set(Object.keys(this.elements).concat(Object.keys(other.elements)))\n}\n/**\n * A function to calculate the inverse document frequency for\n * a posting. This is shared between the builder and the index\n *\n * @private\n * @param {object} posting - The posting for a given term\n * @param {number} documentCount - The total number of documents.\n */\nlunr.idf = function (posting, documentCount) {\n var documentsWithTerm = 0\n\n for (var fieldName in posting) {\n if (fieldName == '_index') continue // Ignore the term index, its not a field\n documentsWithTerm += Object.keys(posting[fieldName]).length\n }\n\n var x = (documentCount - documentsWithTerm + 0.5) / (documentsWithTerm + 0.5)\n\n return Math.log(1 + Math.abs(x))\n}\n\n/**\n * A token wraps a string representation of a token\n * as it is passed through the text processing pipeline.\n *\n * @constructor\n * @param {string} [str=''] - The string token being wrapped.\n * @param {object} [metadata={}] - Metadata associated with this token.\n */\nlunr.Token = function (str, metadata) {\n this.str = str || \"\"\n this.metadata = metadata || {}\n}\n\n/**\n * Returns the token string that is being wrapped by this object.\n *\n * @returns {string}\n */\nlunr.Token.prototype.toString = function () {\n return this.str\n}\n\n/**\n * A token update function is used when updating or optionally\n * when cloning a token.\n *\n * @callback lunr.Token~updateFunction\n * @param {string} str - The string representation of the token.\n * @param {Object} metadata - All metadata associated with this token.\n */\n\n/**\n * Applies the given function to the wrapped string token.\n *\n * @example\n * token.update(function (str, metadata) {\n * return str.toUpperCase()\n * })\n *\n * @param {lunr.Token~updateFunction} fn - A function to apply to the token string.\n * @returns {lunr.Token}\n */\nlunr.Token.prototype.update = function (fn) {\n this.str = fn(this.str, this.metadata)\n return this\n}\n\n/**\n * Creates a clone of this token. Optionally a function can be\n * applied to the cloned token.\n *\n * @param {lunr.Token~updateFunction} [fn] - An optional function to apply to the cloned token.\n * @returns {lunr.Token}\n */\nlunr.Token.prototype.clone = function (fn) {\n fn = fn || function (s) { return s }\n return new lunr.Token (fn(this.str, this.metadata), this.metadata)\n}\n/*!\n * lunr.tokenizer\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A function for splitting a string into tokens ready to be inserted into\n * the search index. Uses `lunr.tokenizer.separator` to split strings, change\n * the value of this property to change how strings are split into tokens.\n *\n * This tokenizer will convert its parameter to a string by calling `toString` and\n * then will split this string on the character in `lunr.tokenizer.separator`.\n * Arrays will have their elements converted to strings and wrapped in a lunr.Token.\n *\n * Optional metadata can be passed to the tokenizer, this metadata will be cloned and\n * added as metadata to every token that is created from the object to be tokenized.\n *\n * @static\n * @param {?(string|object|object[])} obj - The object to convert into tokens\n * @param {?object} metadata - Optional metadata to associate with every token\n * @returns {lunr.Token[]}\n * @see {@link lunr.Pipeline}\n */\nlunr.tokenizer = function (obj, metadata) {\n if (obj == null || obj == undefined) {\n return []\n }\n\n if (Array.isArray(obj)) {\n return obj.map(function (t) {\n return new lunr.Token(\n lunr.utils.asString(t).toLowerCase(),\n lunr.utils.clone(metadata)\n )\n })\n }\n\n var str = obj.toString().toLowerCase(),\n len = str.length,\n tokens = []\n\n for (var sliceEnd = 0, sliceStart = 0; sliceEnd <= len; sliceEnd++) {\n var char = str.charAt(sliceEnd),\n sliceLength = sliceEnd - sliceStart\n\n if ((char.match(lunr.tokenizer.separator) || sliceEnd == len)) {\n\n if (sliceLength > 0) {\n var tokenMetadata = lunr.utils.clone(metadata) || {}\n tokenMetadata[\"position\"] = [sliceStart, sliceLength]\n tokenMetadata[\"index\"] = tokens.length\n\n tokens.push(\n new lunr.Token (\n str.slice(sliceStart, sliceEnd),\n tokenMetadata\n )\n )\n }\n\n sliceStart = sliceEnd + 1\n }\n\n }\n\n return tokens\n}\n\n/**\n * The separator used to split a string into tokens. Override this property to change the behaviour of\n * `lunr.tokenizer` behaviour when tokenizing strings. By default this splits on whitespace and hyphens.\n *\n * @static\n * @see lunr.tokenizer\n */\nlunr.tokenizer.separator = /[\\s\\-]+/\n/*!\n * lunr.Pipeline\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.Pipelines maintain an ordered list of functions to be applied to all\n * tokens in documents entering the search index and queries being ran against\n * the index.\n *\n * An instance of lunr.Index created with the lunr shortcut will contain a\n * pipeline with a stop word filter and an English language stemmer. Extra\n * functions can be added before or after either of these functions or these\n * default functions can be removed.\n *\n * When run the pipeline will call each function in turn, passing a token, the\n * index of that token in the original list of all tokens and finally a list of\n * all the original tokens.\n *\n * The output of functions in the pipeline will be passed to the next function\n * in the pipeline. To exclude a token from entering the index the function\n * should return undefined, the rest of the pipeline will not be called with\n * this token.\n *\n * For serialisation of pipelines to work, all functions used in an instance of\n * a pipeline should be registered with lunr.Pipeline. Registered functions can\n * then be loaded. If trying to load a serialised pipeline that uses functions\n * that are not registered an error will be thrown.\n *\n * If not planning on serialising the pipeline then registering pipeline functions\n * is not necessary.\n *\n * @constructor\n */\nlunr.Pipeline = function () {\n this._stack = []\n}\n\nlunr.Pipeline.registeredFunctions = Object.create(null)\n\n/**\n * A pipeline function maps lunr.Token to lunr.Token. A lunr.Token contains the token\n * string as well as all known metadata. A pipeline function can mutate the token string\n * or mutate (or add) metadata for a given token.\n *\n * A pipeline function can indicate that the passed token should be discarded by returning\n * null, undefined or an empty string. This token will not be passed to any downstream pipeline\n * functions and will not be added to the index.\n *\n * Multiple tokens can be returned by returning an array of tokens. Each token will be passed\n * to any downstream pipeline functions and all will returned tokens will be added to the index.\n *\n * Any number of pipeline functions may be chained together using a lunr.Pipeline.\n *\n * @interface lunr.PipelineFunction\n * @param {lunr.Token} token - A token from the document being processed.\n * @param {number} i - The index of this token in the complete list of tokens for this document/field.\n * @param {lunr.Token[]} tokens - All tokens for this document/field.\n * @returns {(?lunr.Token|lunr.Token[])}\n */\n\n/**\n * Register a function with the pipeline.\n *\n * Functions that are used in the pipeline should be registered if the pipeline\n * needs to be serialised, or a serialised pipeline needs to be loaded.\n *\n * Registering a function does not add it to a pipeline, functions must still be\n * added to instances of the pipeline for them to be used when running a pipeline.\n *\n * @param {lunr.PipelineFunction} fn - The function to check for.\n * @param {String} label - The label to register this function with\n */\nlunr.Pipeline.registerFunction = function (fn, label) {\n if (label in this.registeredFunctions) {\n lunr.utils.warn('Overwriting existing registered function: ' + label)\n }\n\n fn.label = label\n lunr.Pipeline.registeredFunctions[fn.label] = fn\n}\n\n/**\n * Warns if the function is not registered as a Pipeline function.\n *\n * @param {lunr.PipelineFunction} fn - The function to check for.\n * @private\n */\nlunr.Pipeline.warnIfFunctionNotRegistered = function (fn) {\n var isRegistered = fn.label && (fn.label in this.registeredFunctions)\n\n if (!isRegistered) {\n lunr.utils.warn('Function is not registered with pipeline. This may cause problems when serialising the index.\\n', fn)\n }\n}\n\n/**\n * Loads a previously serialised pipeline.\n *\n * All functions to be loaded must already be registered with lunr.Pipeline.\n * If any function from the serialised data has not been registered then an\n * error will be thrown.\n *\n * @param {Object} serialised - The serialised pipeline to load.\n * @returns {lunr.Pipeline}\n */\nlunr.Pipeline.load = function (serialised) {\n var pipeline = new lunr.Pipeline\n\n serialised.forEach(function (fnName) {\n var fn = lunr.Pipeline.registeredFunctions[fnName]\n\n if (fn) {\n pipeline.add(fn)\n } else {\n throw new Error('Cannot load unregistered function: ' + fnName)\n }\n })\n\n return pipeline\n}\n\n/**\n * Adds new functions to the end of the pipeline.\n *\n * Logs a warning if the function has not been registered.\n *\n * @param {lunr.PipelineFunction[]} functions - Any number of functions to add to the pipeline.\n */\nlunr.Pipeline.prototype.add = function () {\n var fns = Array.prototype.slice.call(arguments)\n\n fns.forEach(function (fn) {\n lunr.Pipeline.warnIfFunctionNotRegistered(fn)\n this._stack.push(fn)\n }, this)\n}\n\n/**\n * Adds a single function after a function that already exists in the\n * pipeline.\n *\n * Logs a warning if the function has not been registered.\n *\n * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline.\n * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline.\n */\nlunr.Pipeline.prototype.after = function (existingFn, newFn) {\n lunr.Pipeline.warnIfFunctionNotRegistered(newFn)\n\n var pos = this._stack.indexOf(existingFn)\n if (pos == -1) {\n throw new Error('Cannot find existingFn')\n }\n\n pos = pos + 1\n this._stack.splice(pos, 0, newFn)\n}\n\n/**\n * Adds a single function before a function that already exists in the\n * pipeline.\n *\n * Logs a warning if the function has not been registered.\n *\n * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline.\n * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline.\n */\nlunr.Pipeline.prototype.before = function (existingFn, newFn) {\n lunr.Pipeline.warnIfFunctionNotRegistered(newFn)\n\n var pos = this._stack.indexOf(existingFn)\n if (pos == -1) {\n throw new Error('Cannot find existingFn')\n }\n\n this._stack.splice(pos, 0, newFn)\n}\n\n/**\n * Removes a function from the pipeline.\n *\n * @param {lunr.PipelineFunction} fn The function to remove from the pipeline.\n */\nlunr.Pipeline.prototype.remove = function (fn) {\n var pos = this._stack.indexOf(fn)\n if (pos == -1) {\n return\n }\n\n this._stack.splice(pos, 1)\n}\n\n/**\n * Runs the current list of functions that make up the pipeline against the\n * passed tokens.\n *\n * @param {Array} tokens The tokens to run through the pipeline.\n * @returns {Array}\n */\nlunr.Pipeline.prototype.run = function (tokens) {\n var stackLength = this._stack.length\n\n for (var i = 0; i < stackLength; i++) {\n var fn = this._stack[i]\n var memo = []\n\n for (var j = 0; j < tokens.length; j++) {\n var result = fn(tokens[j], j, tokens)\n\n if (result === null || result === void 0 || result === '') continue\n\n if (Array.isArray(result)) {\n for (var k = 0; k < result.length; k++) {\n memo.push(result[k])\n }\n } else {\n memo.push(result)\n }\n }\n\n tokens = memo\n }\n\n return tokens\n}\n\n/**\n * Convenience method for passing a string through a pipeline and getting\n * strings out. This method takes care of wrapping the passed string in a\n * token and mapping the resulting tokens back to strings.\n *\n * @param {string} str - The string to pass through the pipeline.\n * @param {?object} metadata - Optional metadata to associate with the token\n * passed to the pipeline.\n * @returns {string[]}\n */\nlunr.Pipeline.prototype.runString = function (str, metadata) {\n var token = new lunr.Token (str, metadata)\n\n return this.run([token]).map(function (t) {\n return t.toString()\n })\n}\n\n/**\n * Resets the pipeline by removing any existing processors.\n *\n */\nlunr.Pipeline.prototype.reset = function () {\n this._stack = []\n}\n\n/**\n * Returns a representation of the pipeline ready for serialisation.\n *\n * Logs a warning if the function has not been registered.\n *\n * @returns {Array}\n */\nlunr.Pipeline.prototype.toJSON = function () {\n return this._stack.map(function (fn) {\n lunr.Pipeline.warnIfFunctionNotRegistered(fn)\n\n return fn.label\n })\n}\n/*!\n * lunr.Vector\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A vector is used to construct the vector space of documents and queries. These\n * vectors support operations to determine the similarity between two documents or\n * a document and a query.\n *\n * Normally no parameters are required for initializing a vector, but in the case of\n * loading a previously dumped vector the raw elements can be provided to the constructor.\n *\n * For performance reasons vectors are implemented with a flat array, where an elements\n * index is immediately followed by its value. E.g. [index, value, index, value]. This\n * allows the underlying array to be as sparse as possible and still offer decent\n * performance when being used for vector calculations.\n *\n * @constructor\n * @param {Number[]} [elements] - The flat list of element index and element value pairs.\n */\nlunr.Vector = function (elements) {\n this._magnitude = 0\n this.elements = elements || []\n}\n\n\n/**\n * Calculates the position within the vector to insert a given index.\n *\n * This is used internally by insert and upsert. If there are duplicate indexes then\n * the position is returned as if the value for that index were to be updated, but it\n * is the callers responsibility to check whether there is a duplicate at that index\n *\n * @param {Number} insertIdx - The index at which the element should be inserted.\n * @returns {Number}\n */\nlunr.Vector.prototype.positionForIndex = function (index) {\n // For an empty vector the tuple can be inserted at the beginning\n if (this.elements.length == 0) {\n return 0\n }\n\n var start = 0,\n end = this.elements.length / 2,\n sliceLength = end - start,\n pivotPoint = Math.floor(sliceLength / 2),\n pivotIndex = this.elements[pivotPoint * 2]\n\n while (sliceLength > 1) {\n if (pivotIndex < index) {\n start = pivotPoint\n }\n\n if (pivotIndex > index) {\n end = pivotPoint\n }\n\n if (pivotIndex == index) {\n break\n }\n\n sliceLength = end - start\n pivotPoint = start + Math.floor(sliceLength / 2)\n pivotIndex = this.elements[pivotPoint * 2]\n }\n\n if (pivotIndex == index) {\n return pivotPoint * 2\n }\n\n if (pivotIndex > index) {\n return pivotPoint * 2\n }\n\n if (pivotIndex < index) {\n return (pivotPoint + 1) * 2\n }\n}\n\n/**\n * Inserts an element at an index within the vector.\n *\n * Does not allow duplicates, will throw an error if there is already an entry\n * for this index.\n *\n * @param {Number} insertIdx - The index at which the element should be inserted.\n * @param {Number} val - The value to be inserted into the vector.\n */\nlunr.Vector.prototype.insert = function (insertIdx, val) {\n this.upsert(insertIdx, val, function () {\n throw \"duplicate index\"\n })\n}\n\n/**\n * Inserts or updates an existing index within the vector.\n *\n * @param {Number} insertIdx - The index at which the element should be inserted.\n * @param {Number} val - The value to be inserted into the vector.\n * @param {function} fn - A function that is called for updates, the existing value and the\n * requested value are passed as arguments\n */\nlunr.Vector.prototype.upsert = function (insertIdx, val, fn) {\n this._magnitude = 0\n var position = this.positionForIndex(insertIdx)\n\n if (this.elements[position] == insertIdx) {\n this.elements[position + 1] = fn(this.elements[position + 1], val)\n } else {\n this.elements.splice(position, 0, insertIdx, val)\n }\n}\n\n/**\n * Calculates the magnitude of this vector.\n *\n * @returns {Number}\n */\nlunr.Vector.prototype.magnitude = function () {\n if (this._magnitude) return this._magnitude\n\n var sumOfSquares = 0,\n elementsLength = this.elements.length\n\n for (var i = 1; i < elementsLength; i += 2) {\n var val = this.elements[i]\n sumOfSquares += val * val\n }\n\n return this._magnitude = Math.sqrt(sumOfSquares)\n}\n\n/**\n * Calculates the dot product of this vector and another vector.\n *\n * @param {lunr.Vector} otherVector - The vector to compute the dot product with.\n * @returns {Number}\n */\nlunr.Vector.prototype.dot = function (otherVector) {\n var dotProduct = 0,\n a = this.elements, b = otherVector.elements,\n aLen = a.length, bLen = b.length,\n aVal = 0, bVal = 0,\n i = 0, j = 0\n\n while (i < aLen && j < bLen) {\n aVal = a[i], bVal = b[j]\n if (aVal < bVal) {\n i += 2\n } else if (aVal > bVal) {\n j += 2\n } else if (aVal == bVal) {\n dotProduct += a[i + 1] * b[j + 1]\n i += 2\n j += 2\n }\n }\n\n return dotProduct\n}\n\n/**\n * Calculates the similarity between this vector and another vector.\n *\n * @param {lunr.Vector} otherVector - The other vector to calculate the\n * similarity with.\n * @returns {Number}\n */\nlunr.Vector.prototype.similarity = function (otherVector) {\n return this.dot(otherVector) / this.magnitude() || 0\n}\n\n/**\n * Converts the vector to an array of the elements within the vector.\n *\n * @returns {Number[]}\n */\nlunr.Vector.prototype.toArray = function () {\n var output = new Array (this.elements.length / 2)\n\n for (var i = 1, j = 0; i < this.elements.length; i += 2, j++) {\n output[j] = this.elements[i]\n }\n\n return output\n}\n\n/**\n * A JSON serializable representation of the vector.\n *\n * @returns {Number[]}\n */\nlunr.Vector.prototype.toJSON = function () {\n return this.elements\n}\n/* eslint-disable */\n/*!\n * lunr.stemmer\n * Copyright (C) 2020 Oliver Nightingale\n * Includes code from - http://tartarus.org/~martin/PorterStemmer/js.txt\n */\n\n/**\n * lunr.stemmer is an english language stemmer, this is a JavaScript\n * implementation of the PorterStemmer taken from http://tartarus.org/~martin\n *\n * @static\n * @implements {lunr.PipelineFunction}\n * @param {lunr.Token} token - The string to stem\n * @returns {lunr.Token}\n * @see {@link lunr.Pipeline}\n * @function\n */\nlunr.stemmer = (function(){\n var step2list = {\n \"ational\" : \"ate\",\n \"tional\" : \"tion\",\n \"enci\" : \"ence\",\n \"anci\" : \"ance\",\n \"izer\" : \"ize\",\n \"bli\" : \"ble\",\n \"alli\" : \"al\",\n \"entli\" : \"ent\",\n \"eli\" : \"e\",\n \"ousli\" : \"ous\",\n \"ization\" : \"ize\",\n \"ation\" : \"ate\",\n \"ator\" : \"ate\",\n \"alism\" : \"al\",\n \"iveness\" : \"ive\",\n \"fulness\" : \"ful\",\n \"ousness\" : \"ous\",\n \"aliti\" : \"al\",\n \"iviti\" : \"ive\",\n \"biliti\" : \"ble\",\n \"logi\" : \"log\"\n },\n\n step3list = {\n \"icate\" : \"ic\",\n \"ative\" : \"\",\n \"alize\" : \"al\",\n \"iciti\" : \"ic\",\n \"ical\" : \"ic\",\n \"ful\" : \"\",\n \"ness\" : \"\"\n },\n\n c = \"[^aeiou]\", // consonant\n v = \"[aeiouy]\", // vowel\n C = c + \"[^aeiouy]*\", // consonant sequence\n V = v + \"[aeiou]*\", // vowel sequence\n\n mgr0 = \"^(\" + C + \")?\" + V + C, // [C]VC... is m>0\n meq1 = \"^(\" + C + \")?\" + V + C + \"(\" + V + \")?$\", // [C]VC[V] is m=1\n mgr1 = \"^(\" + C + \")?\" + V + C + V + C, // [C]VCVC... is m>1\n s_v = \"^(\" + C + \")?\" + v; // vowel in stem\n\n var re_mgr0 = new RegExp(mgr0);\n var re_mgr1 = new RegExp(mgr1);\n var re_meq1 = new RegExp(meq1);\n var re_s_v = new RegExp(s_v);\n\n var re_1a = /^(.+?)(ss|i)es$/;\n var re2_1a = /^(.+?)([^s])s$/;\n var re_1b = /^(.+?)eed$/;\n var re2_1b = /^(.+?)(ed|ing)$/;\n var re_1b_2 = /.$/;\n var re2_1b_2 = /(at|bl|iz)$/;\n var re3_1b_2 = new RegExp(\"([^aeiouylsz])\\\\1$\");\n var re4_1b_2 = new RegExp(\"^\" + C + v + \"[^aeiouwxy]$\");\n\n var re_1c = /^(.+?[^aeiou])y$/;\n var re_2 = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;\n\n var re_3 = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;\n\n var re_4 = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;\n var re2_4 = /^(.+?)(s|t)(ion)$/;\n\n var re_5 = /^(.+?)e$/;\n var re_5_1 = /ll$/;\n var re3_5 = new RegExp(\"^\" + C + v + \"[^aeiouwxy]$\");\n\n var porterStemmer = function porterStemmer(w) {\n var stem,\n suffix,\n firstch,\n re,\n re2,\n re3,\n re4;\n\n if (w.length < 3) { return w; }\n\n firstch = w.substr(0,1);\n if (firstch == \"y\") {\n w = firstch.toUpperCase() + w.substr(1);\n }\n\n // Step 1a\n re = re_1a\n re2 = re2_1a;\n\n if (re.test(w)) { w = w.replace(re,\"$1$2\"); }\n else if (re2.test(w)) { w = w.replace(re2,\"$1$2\"); }\n\n // Step 1b\n re = re_1b;\n re2 = re2_1b;\n if (re.test(w)) {\n var fp = re.exec(w);\n re = re_mgr0;\n if (re.test(fp[1])) {\n re = re_1b_2;\n w = w.replace(re,\"\");\n }\n } else if (re2.test(w)) {\n var fp = re2.exec(w);\n stem = fp[1];\n re2 = re_s_v;\n if (re2.test(stem)) {\n w = stem;\n re2 = re2_1b_2;\n re3 = re3_1b_2;\n re4 = re4_1b_2;\n if (re2.test(w)) { w = w + \"e\"; }\n else if (re3.test(w)) { re = re_1b_2; w = w.replace(re,\"\"); }\n else if (re4.test(w)) { w = w + \"e\"; }\n }\n }\n\n // Step 1c - replace suffix y or Y by i if preceded by a non-vowel which is not the first letter of the word (so cry -> cri, by -> by, say -> say)\n re = re_1c;\n if (re.test(w)) {\n var fp = re.exec(w);\n stem = fp[1];\n w = stem + \"i\";\n }\n\n // Step 2\n re = re_2;\n if (re.test(w)) {\n var fp = re.exec(w);\n stem = fp[1];\n suffix = fp[2];\n re = re_mgr0;\n if (re.test(stem)) {\n w = stem + step2list[suffix];\n }\n }\n\n // Step 3\n re = re_3;\n if (re.test(w)) {\n var fp = re.exec(w);\n stem = fp[1];\n suffix = fp[2];\n re = re_mgr0;\n if (re.test(stem)) {\n w = stem + step3list[suffix];\n }\n }\n\n // Step 4\n re = re_4;\n re2 = re2_4;\n if (re.test(w)) {\n var fp = re.exec(w);\n stem = fp[1];\n re = re_mgr1;\n if (re.test(stem)) {\n w = stem;\n }\n } else if (re2.test(w)) {\n var fp = re2.exec(w);\n stem = fp[1] + fp[2];\n re2 = re_mgr1;\n if (re2.test(stem)) {\n w = stem;\n }\n }\n\n // Step 5\n re = re_5;\n if (re.test(w)) {\n var fp = re.exec(w);\n stem = fp[1];\n re = re_mgr1;\n re2 = re_meq1;\n re3 = re3_5;\n if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) {\n w = stem;\n }\n }\n\n re = re_5_1;\n re2 = re_mgr1;\n if (re.test(w) && re2.test(w)) {\n re = re_1b_2;\n w = w.replace(re,\"\");\n }\n\n // and turn initial Y back to y\n\n if (firstch == \"y\") {\n w = firstch.toLowerCase() + w.substr(1);\n }\n\n return w;\n };\n\n return function (token) {\n return token.update(porterStemmer);\n }\n})();\n\nlunr.Pipeline.registerFunction(lunr.stemmer, 'stemmer')\n/*!\n * lunr.stopWordFilter\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.generateStopWordFilter builds a stopWordFilter function from the provided\n * list of stop words.\n *\n * The built in lunr.stopWordFilter is built using this generator and can be used\n * to generate custom stopWordFilters for applications or non English languages.\n *\n * @function\n * @param {Array} token The token to pass through the filter\n * @returns {lunr.PipelineFunction}\n * @see lunr.Pipeline\n * @see lunr.stopWordFilter\n */\nlunr.generateStopWordFilter = function (stopWords) {\n var words = stopWords.reduce(function (memo, stopWord) {\n memo[stopWord] = stopWord\n return memo\n }, {})\n\n return function (token) {\n if (token && words[token.toString()] !== token.toString()) return token\n }\n}\n\n/**\n * lunr.stopWordFilter is an English language stop word list filter, any words\n * contained in the list will not be passed through the filter.\n *\n * This is intended to be used in the Pipeline. If the token does not pass the\n * filter then undefined will be returned.\n *\n * @function\n * @implements {lunr.PipelineFunction}\n * @params {lunr.Token} token - A token to check for being a stop word.\n * @returns {lunr.Token}\n * @see {@link lunr.Pipeline}\n */\nlunr.stopWordFilter = lunr.generateStopWordFilter([\n 'a',\n 'able',\n 'about',\n 'across',\n 'after',\n 'all',\n 'almost',\n 'also',\n 'am',\n 'among',\n 'an',\n 'and',\n 'any',\n 'are',\n 'as',\n 'at',\n 'be',\n 'because',\n 'been',\n 'but',\n 'by',\n 'can',\n 'cannot',\n 'could',\n 'dear',\n 'did',\n 'do',\n 'does',\n 'either',\n 'else',\n 'ever',\n 'every',\n 'for',\n 'from',\n 'get',\n 'got',\n 'had',\n 'has',\n 'have',\n 'he',\n 'her',\n 'hers',\n 'him',\n 'his',\n 'how',\n 'however',\n 'i',\n 'if',\n 'in',\n 'into',\n 'is',\n 'it',\n 'its',\n 'just',\n 'least',\n 'let',\n 'like',\n 'likely',\n 'may',\n 'me',\n 'might',\n 'most',\n 'must',\n 'my',\n 'neither',\n 'no',\n 'nor',\n 'not',\n 'of',\n 'off',\n 'often',\n 'on',\n 'only',\n 'or',\n 'other',\n 'our',\n 'own',\n 'rather',\n 'said',\n 'say',\n 'says',\n 'she',\n 'should',\n 'since',\n 'so',\n 'some',\n 'than',\n 'that',\n 'the',\n 'their',\n 'them',\n 'then',\n 'there',\n 'these',\n 'they',\n 'this',\n 'tis',\n 'to',\n 'too',\n 'twas',\n 'us',\n 'wants',\n 'was',\n 'we',\n 'were',\n 'what',\n 'when',\n 'where',\n 'which',\n 'while',\n 'who',\n 'whom',\n 'why',\n 'will',\n 'with',\n 'would',\n 'yet',\n 'you',\n 'your'\n])\n\nlunr.Pipeline.registerFunction(lunr.stopWordFilter, 'stopWordFilter')\n/*!\n * lunr.trimmer\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.trimmer is a pipeline function for trimming non word\n * characters from the beginning and end of tokens before they\n * enter the index.\n *\n * This implementation may not work correctly for non latin\n * characters and should either be removed or adapted for use\n * with languages with non-latin characters.\n *\n * @static\n * @implements {lunr.PipelineFunction}\n * @param {lunr.Token} token The token to pass through the filter\n * @returns {lunr.Token}\n * @see lunr.Pipeline\n */\nlunr.trimmer = function (token) {\n return token.update(function (s) {\n return s.replace(/^\\W+/, '').replace(/\\W+$/, '')\n })\n}\n\nlunr.Pipeline.registerFunction(lunr.trimmer, 'trimmer')\n/*!\n * lunr.TokenSet\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A token set is used to store the unique list of all tokens\n * within an index. Token sets are also used to represent an\n * incoming query to the index, this query token set and index\n * token set are then intersected to find which tokens to look\n * up in the inverted index.\n *\n * A token set can hold multiple tokens, as in the case of the\n * index token set, or it can hold a single token as in the\n * case of a simple query token set.\n *\n * Additionally token sets are used to perform wildcard matching.\n * Leading, contained and trailing wildcards are supported, and\n * from this edit distance matching can also be provided.\n *\n * Token sets are implemented as a minimal finite state automata,\n * where both common prefixes and suffixes are shared between tokens.\n * This helps to reduce the space used for storing the token set.\n *\n * @constructor\n */\nlunr.TokenSet = function () {\n this.final = false\n this.edges = {}\n this.id = lunr.TokenSet._nextId\n lunr.TokenSet._nextId += 1\n}\n\n/**\n * Keeps track of the next, auto increment, identifier to assign\n * to a new tokenSet.\n *\n * TokenSets require a unique identifier to be correctly minimised.\n *\n * @private\n */\nlunr.TokenSet._nextId = 1\n\n/**\n * Creates a TokenSet instance from the given sorted array of words.\n *\n * @param {String[]} arr - A sorted array of strings to create the set from.\n * @returns {lunr.TokenSet}\n * @throws Will throw an error if the input array is not sorted.\n */\nlunr.TokenSet.fromArray = function (arr) {\n var builder = new lunr.TokenSet.Builder\n\n for (var i = 0, len = arr.length; i < len; i++) {\n builder.insert(arr[i])\n }\n\n builder.finish()\n return builder.root\n}\n\n/**\n * Creates a token set from a query clause.\n *\n * @private\n * @param {Object} clause - A single clause from lunr.Query.\n * @param {string} clause.term - The query clause term.\n * @param {number} [clause.editDistance] - The optional edit distance for the term.\n * @returns {lunr.TokenSet}\n */\nlunr.TokenSet.fromClause = function (clause) {\n if ('editDistance' in clause) {\n return lunr.TokenSet.fromFuzzyString(clause.term, clause.editDistance)\n } else {\n return lunr.TokenSet.fromString(clause.term)\n }\n}\n\n/**\n * Creates a token set representing a single string with a specified\n * edit distance.\n *\n * Insertions, deletions, substitutions and transpositions are each\n * treated as an edit distance of 1.\n *\n * Increasing the allowed edit distance will have a dramatic impact\n * on the performance of both creating and intersecting these TokenSets.\n * It is advised to keep the edit distance less than 3.\n *\n * @param {string} str - The string to create the token set from.\n * @param {number} editDistance - The allowed edit distance to match.\n * @returns {lunr.Vector}\n */\nlunr.TokenSet.fromFuzzyString = function (str, editDistance) {\n var root = new lunr.TokenSet\n\n var stack = [{\n node: root,\n editsRemaining: editDistance,\n str: str\n }]\n\n while (stack.length) {\n var frame = stack.pop()\n\n // no edit\n if (frame.str.length > 0) {\n var char = frame.str.charAt(0),\n noEditNode\n\n if (char in frame.node.edges) {\n noEditNode = frame.node.edges[char]\n } else {\n noEditNode = new lunr.TokenSet\n frame.node.edges[char] = noEditNode\n }\n\n if (frame.str.length == 1) {\n noEditNode.final = true\n }\n\n stack.push({\n node: noEditNode,\n editsRemaining: frame.editsRemaining,\n str: frame.str.slice(1)\n })\n }\n\n if (frame.editsRemaining == 0) {\n continue\n }\n\n // insertion\n if (\"*\" in frame.node.edges) {\n var insertionNode = frame.node.edges[\"*\"]\n } else {\n var insertionNode = new lunr.TokenSet\n frame.node.edges[\"*\"] = insertionNode\n }\n\n if (frame.str.length == 0) {\n insertionNode.final = true\n }\n\n stack.push({\n node: insertionNode,\n editsRemaining: frame.editsRemaining - 1,\n str: frame.str\n })\n\n // deletion\n // can only do a deletion if we have enough edits remaining\n // and if there are characters left to delete in the string\n if (frame.str.length > 1) {\n stack.push({\n node: frame.node,\n editsRemaining: frame.editsRemaining - 1,\n str: frame.str.slice(1)\n })\n }\n\n // deletion\n // just removing the last character from the str\n if (frame.str.length == 1) {\n frame.node.final = true\n }\n\n // substitution\n // can only do a substitution if we have enough edits remaining\n // and if there are characters left to substitute\n if (frame.str.length >= 1) {\n if (\"*\" in frame.node.edges) {\n var substitutionNode = frame.node.edges[\"*\"]\n } else {\n var substitutionNode = new lunr.TokenSet\n frame.node.edges[\"*\"] = substitutionNode\n }\n\n if (frame.str.length == 1) {\n substitutionNode.final = true\n }\n\n stack.push({\n node: substitutionNode,\n editsRemaining: frame.editsRemaining - 1,\n str: frame.str.slice(1)\n })\n }\n\n // transposition\n // can only do a transposition if there are edits remaining\n // and there are enough characters to transpose\n if (frame.str.length > 1) {\n var charA = frame.str.charAt(0),\n charB = frame.str.charAt(1),\n transposeNode\n\n if (charB in frame.node.edges) {\n transposeNode = frame.node.edges[charB]\n } else {\n transposeNode = new lunr.TokenSet\n frame.node.edges[charB] = transposeNode\n }\n\n if (frame.str.length == 1) {\n transposeNode.final = true\n }\n\n stack.push({\n node: transposeNode,\n editsRemaining: frame.editsRemaining - 1,\n str: charA + frame.str.slice(2)\n })\n }\n }\n\n return root\n}\n\n/**\n * Creates a TokenSet from a string.\n *\n * The string may contain one or more wildcard characters (*)\n * that will allow wildcard matching when intersecting with\n * another TokenSet.\n *\n * @param {string} str - The string to create a TokenSet from.\n * @returns {lunr.TokenSet}\n */\nlunr.TokenSet.fromString = function (str) {\n var node = new lunr.TokenSet,\n root = node\n\n /*\n * Iterates through all characters within the passed string\n * appending a node for each character.\n *\n * When a wildcard character is found then a self\n * referencing edge is introduced to continually match\n * any number of any characters.\n */\n for (var i = 0, len = str.length; i < len; i++) {\n var char = str[i],\n final = (i == len - 1)\n\n if (char == \"*\") {\n node.edges[char] = node\n node.final = final\n\n } else {\n var next = new lunr.TokenSet\n next.final = final\n\n node.edges[char] = next\n node = next\n }\n }\n\n return root\n}\n\n/**\n * Converts this TokenSet into an array of strings\n * contained within the TokenSet.\n *\n * This is not intended to be used on a TokenSet that\n * contains wildcards, in these cases the results are\n * undefined and are likely to cause an infinite loop.\n *\n * @returns {string[]}\n */\nlunr.TokenSet.prototype.toArray = function () {\n var words = []\n\n var stack = [{\n prefix: \"\",\n node: this\n }]\n\n while (stack.length) {\n var frame = stack.pop(),\n edges = Object.keys(frame.node.edges),\n len = edges.length\n\n if (frame.node.final) {\n /* In Safari, at this point the prefix is sometimes corrupted, see:\n * https://github.com/olivernn/lunr.js/issues/279 Calling any\n * String.prototype method forces Safari to \"cast\" this string to what\n * it's supposed to be, fixing the bug. */\n frame.prefix.charAt(0)\n words.push(frame.prefix)\n }\n\n for (var i = 0; i < len; i++) {\n var edge = edges[i]\n\n stack.push({\n prefix: frame.prefix.concat(edge),\n node: frame.node.edges[edge]\n })\n }\n }\n\n return words\n}\n\n/**\n * Generates a string representation of a TokenSet.\n *\n * This is intended to allow TokenSets to be used as keys\n * in objects, largely to aid the construction and minimisation\n * of a TokenSet. As such it is not designed to be a human\n * friendly representation of the TokenSet.\n *\n * @returns {string}\n */\nlunr.TokenSet.prototype.toString = function () {\n // NOTE: Using Object.keys here as this.edges is very likely\n // to enter 'hash-mode' with many keys being added\n //\n // avoiding a for-in loop here as it leads to the function\n // being de-optimised (at least in V8). From some simple\n // benchmarks the performance is comparable, but allowing\n // V8 to optimize may mean easy performance wins in the future.\n\n if (this._str) {\n return this._str\n }\n\n var str = this.final ? '1' : '0',\n labels = Object.keys(this.edges).sort(),\n len = labels.length\n\n for (var i = 0; i < len; i++) {\n var label = labels[i],\n node = this.edges[label]\n\n str = str + label + node.id\n }\n\n return str\n}\n\n/**\n * Returns a new TokenSet that is the intersection of\n * this TokenSet and the passed TokenSet.\n *\n * This intersection will take into account any wildcards\n * contained within the TokenSet.\n *\n * @param {lunr.TokenSet} b - An other TokenSet to intersect with.\n * @returns {lunr.TokenSet}\n */\nlunr.TokenSet.prototype.intersect = function (b) {\n var output = new lunr.TokenSet,\n frame = undefined\n\n var stack = [{\n qNode: b,\n output: output,\n node: this\n }]\n\n while (stack.length) {\n frame = stack.pop()\n\n // NOTE: As with the #toString method, we are using\n // Object.keys and a for loop instead of a for-in loop\n // as both of these objects enter 'hash' mode, causing\n // the function to be de-optimised in V8\n var qEdges = Object.keys(frame.qNode.edges),\n qLen = qEdges.length,\n nEdges = Object.keys(frame.node.edges),\n nLen = nEdges.length\n\n for (var q = 0; q < qLen; q++) {\n var qEdge = qEdges[q]\n\n for (var n = 0; n < nLen; n++) {\n var nEdge = nEdges[n]\n\n if (nEdge == qEdge || qEdge == '*') {\n var node = frame.node.edges[nEdge],\n qNode = frame.qNode.edges[qEdge],\n final = node.final && qNode.final,\n next = undefined\n\n if (nEdge in frame.output.edges) {\n // an edge already exists for this character\n // no need to create a new node, just set the finality\n // bit unless this node is already final\n next = frame.output.edges[nEdge]\n next.final = next.final || final\n\n } else {\n // no edge exists yet, must create one\n // set the finality bit and insert it\n // into the output\n next = new lunr.TokenSet\n next.final = final\n frame.output.edges[nEdge] = next\n }\n\n stack.push({\n qNode: qNode,\n output: next,\n node: node\n })\n }\n }\n }\n }\n\n return output\n}\nlunr.TokenSet.Builder = function () {\n this.previousWord = \"\"\n this.root = new lunr.TokenSet\n this.uncheckedNodes = []\n this.minimizedNodes = {}\n}\n\nlunr.TokenSet.Builder.prototype.insert = function (word) {\n var node,\n commonPrefix = 0\n\n if (word < this.previousWord) {\n throw new Error (\"Out of order word insertion\")\n }\n\n for (var i = 0; i < word.length && i < this.previousWord.length; i++) {\n if (word[i] != this.previousWord[i]) break\n commonPrefix++\n }\n\n this.minimize(commonPrefix)\n\n if (this.uncheckedNodes.length == 0) {\n node = this.root\n } else {\n node = this.uncheckedNodes[this.uncheckedNodes.length - 1].child\n }\n\n for (var i = commonPrefix; i < word.length; i++) {\n var nextNode = new lunr.TokenSet,\n char = word[i]\n\n node.edges[char] = nextNode\n\n this.uncheckedNodes.push({\n parent: node,\n char: char,\n child: nextNode\n })\n\n node = nextNode\n }\n\n node.final = true\n this.previousWord = word\n}\n\nlunr.TokenSet.Builder.prototype.finish = function () {\n this.minimize(0)\n}\n\nlunr.TokenSet.Builder.prototype.minimize = function (downTo) {\n for (var i = this.uncheckedNodes.length - 1; i >= downTo; i--) {\n var node = this.uncheckedNodes[i],\n childKey = node.child.toString()\n\n if (childKey in this.minimizedNodes) {\n node.parent.edges[node.char] = this.minimizedNodes[childKey]\n } else {\n // Cache the key for this node since\n // we know it can't change anymore\n node.child._str = childKey\n\n this.minimizedNodes[childKey] = node.child\n }\n\n this.uncheckedNodes.pop()\n }\n}\n/*!\n * lunr.Index\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * An index contains the built index of all documents and provides a query interface\n * to the index.\n *\n * Usually instances of lunr.Index will not be created using this constructor, instead\n * lunr.Builder should be used to construct new indexes, or lunr.Index.load should be\n * used to load previously built and serialized indexes.\n *\n * @constructor\n * @param {Object} attrs - The attributes of the built search index.\n * @param {Object} attrs.invertedIndex - An index of term/field to document reference.\n * @param {Object} attrs.fieldVectors - Field vectors\n * @param {lunr.TokenSet} attrs.tokenSet - An set of all corpus tokens.\n * @param {string[]} attrs.fields - The names of indexed document fields.\n * @param {lunr.Pipeline} attrs.pipeline - The pipeline to use for search terms.\n */\nlunr.Index = function (attrs) {\n this.invertedIndex = attrs.invertedIndex\n this.fieldVectors = attrs.fieldVectors\n this.tokenSet = attrs.tokenSet\n this.fields = attrs.fields\n this.pipeline = attrs.pipeline\n}\n\n/**\n * A result contains details of a document matching a search query.\n * @typedef {Object} lunr.Index~Result\n * @property {string} ref - The reference of the document this result represents.\n * @property {number} score - A number between 0 and 1 representing how similar this document is to the query.\n * @property {lunr.MatchData} matchData - Contains metadata about this match including which term(s) caused the match.\n */\n\n/**\n * Although lunr provides the ability to create queries using lunr.Query, it also provides a simple\n * query language which itself is parsed into an instance of lunr.Query.\n *\n * For programmatically building queries it is advised to directly use lunr.Query, the query language\n * is best used for human entered text rather than program generated text.\n *\n * At its simplest queries can just be a single term, e.g. `hello`, multiple terms are also supported\n * and will be combined with OR, e.g `hello world` will match documents that contain either 'hello'\n * or 'world', though those that contain both will rank higher in the results.\n *\n * Wildcards can be included in terms to match one or more unspecified characters, these wildcards can\n * be inserted anywhere within the term, and more than one wildcard can exist in a single term. Adding\n * wildcards will increase the number of documents that will be found but can also have a negative\n * impact on query performance, especially with wildcards at the beginning of a term.\n *\n * Terms can be restricted to specific fields, e.g. `title:hello`, only documents with the term\n * hello in the title field will match this query. Using a field not present in the index will lead\n * to an error being thrown.\n *\n * Modifiers can also be added to terms, lunr supports edit distance and boost modifiers on terms. A term\n * boost will make documents matching that term score higher, e.g. `foo^5`. Edit distance is also supported\n * to provide fuzzy matching, e.g. 'hello~2' will match documents with hello with an edit distance of 2.\n * Avoid large values for edit distance to improve query performance.\n *\n * Each term also supports a presence modifier. By default a term's presence in document is optional, however\n * this can be changed to either required or prohibited. For a term's presence to be required in a document the\n * term should be prefixed with a '+', e.g. `+foo bar` is a search for documents that must contain 'foo' and\n * optionally contain 'bar'. Conversely a leading '-' sets the terms presence to prohibited, i.e. it must not\n * appear in a document, e.g. `-foo bar` is a search for documents that do not contain 'foo' but may contain 'bar'.\n *\n * To escape special characters the backslash character '\\' can be used, this allows searches to include\n * characters that would normally be considered modifiers, e.g. `foo\\~2` will search for a term \"foo~2\" instead\n * of attempting to apply a boost of 2 to the search term \"foo\".\n *\n * @typedef {string} lunr.Index~QueryString\n * @example Simple single term query\n * hello\n * @example Multiple term query\n * hello world\n * @example term scoped to a field\n * title:hello\n * @example term with a boost of 10\n * hello^10\n * @example term with an edit distance of 2\n * hello~2\n * @example terms with presence modifiers\n * -foo +bar baz\n */\n\n/**\n * Performs a search against the index using lunr query syntax.\n *\n * Results will be returned sorted by their score, the most relevant results\n * will be returned first. For details on how the score is calculated, please see\n * the {@link https://lunrjs.com/guides/searching.html#scoring|guide}.\n *\n * For more programmatic querying use lunr.Index#query.\n *\n * @param {lunr.Index~QueryString} queryString - A string containing a lunr query.\n * @throws {lunr.QueryParseError} If the passed query string cannot be parsed.\n * @returns {lunr.Index~Result[]}\n */\nlunr.Index.prototype.search = function (queryString) {\n return this.query(function (query) {\n var parser = new lunr.QueryParser(queryString, query)\n parser.parse()\n })\n}\n\n/**\n * A query builder callback provides a query object to be used to express\n * the query to perform on the index.\n *\n * @callback lunr.Index~queryBuilder\n * @param {lunr.Query} query - The query object to build up.\n * @this lunr.Query\n */\n\n/**\n * Performs a query against the index using the yielded lunr.Query object.\n *\n * If performing programmatic queries against the index, this method is preferred\n * over lunr.Index#search so as to avoid the additional query parsing overhead.\n *\n * A query object is yielded to the supplied function which should be used to\n * express the query to be run against the index.\n *\n * Note that although this function takes a callback parameter it is _not_ an\n * asynchronous operation, the callback is just yielded a query object to be\n * customized.\n *\n * @param {lunr.Index~queryBuilder} fn - A function that is used to build the query.\n * @returns {lunr.Index~Result[]}\n */\nlunr.Index.prototype.query = function (fn) {\n // for each query clause\n // * process terms\n // * expand terms from token set\n // * find matching documents and metadata\n // * get document vectors\n // * score documents\n\n var query = new lunr.Query(this.fields),\n matchingFields = Object.create(null),\n queryVectors = Object.create(null),\n termFieldCache = Object.create(null),\n requiredMatches = Object.create(null),\n prohibitedMatches = Object.create(null)\n\n /*\n * To support field level boosts a query vector is created per\n * field. An empty vector is eagerly created to support negated\n * queries.\n */\n for (var i = 0; i < this.fields.length; i++) {\n queryVectors[this.fields[i]] = new lunr.Vector\n }\n\n fn.call(query, query)\n\n for (var i = 0; i < query.clauses.length; i++) {\n /*\n * Unless the pipeline has been disabled for this term, which is\n * the case for terms with wildcards, we need to pass the clause\n * term through the search pipeline. A pipeline returns an array\n * of processed terms. Pipeline functions may expand the passed\n * term, which means we may end up performing multiple index lookups\n * for a single query term.\n */\n var clause = query.clauses[i],\n terms = null,\n clauseMatches = lunr.Set.empty\n\n if (clause.usePipeline) {\n terms = this.pipeline.runString(clause.term, {\n fields: clause.fields\n })\n } else {\n terms = [clause.term]\n }\n\n for (var m = 0; m < terms.length; m++) {\n var term = terms[m]\n\n /*\n * Each term returned from the pipeline needs to use the same query\n * clause object, e.g. the same boost and or edit distance. The\n * simplest way to do this is to re-use the clause object but mutate\n * its term property.\n */\n clause.term = term\n\n /*\n * From the term in the clause we create a token set which will then\n * be used to intersect the indexes token set to get a list of terms\n * to lookup in the inverted index\n */\n var termTokenSet = lunr.TokenSet.fromClause(clause),\n expandedTerms = this.tokenSet.intersect(termTokenSet).toArray()\n\n /*\n * If a term marked as required does not exist in the tokenSet it is\n * impossible for the search to return any matches. We set all the field\n * scoped required matches set to empty and stop examining any further\n * clauses.\n */\n if (expandedTerms.length === 0 && clause.presence === lunr.Query.presence.REQUIRED) {\n for (var k = 0; k < clause.fields.length; k++) {\n var field = clause.fields[k]\n requiredMatches[field] = lunr.Set.empty\n }\n\n break\n }\n\n for (var j = 0; j < expandedTerms.length; j++) {\n /*\n * For each term get the posting and termIndex, this is required for\n * building the query vector.\n */\n var expandedTerm = expandedTerms[j],\n posting = this.invertedIndex[expandedTerm],\n termIndex = posting._index\n\n for (var k = 0; k < clause.fields.length; k++) {\n /*\n * For each field that this query term is scoped by (by default\n * all fields are in scope) we need to get all the document refs\n * that have this term in that field.\n *\n * The posting is the entry in the invertedIndex for the matching\n * term from above.\n */\n var field = clause.fields[k],\n fieldPosting = posting[field],\n matchingDocumentRefs = Object.keys(fieldPosting),\n termField = expandedTerm + \"/\" + field,\n matchingDocumentsSet = new lunr.Set(matchingDocumentRefs)\n\n /*\n * if the presence of this term is required ensure that the matching\n * documents are added to the set of required matches for this clause.\n *\n */\n if (clause.presence == lunr.Query.presence.REQUIRED) {\n clauseMatches = clauseMatches.union(matchingDocumentsSet)\n\n if (requiredMatches[field] === undefined) {\n requiredMatches[field] = lunr.Set.complete\n }\n }\n\n /*\n * if the presence of this term is prohibited ensure that the matching\n * documents are added to the set of prohibited matches for this field,\n * creating that set if it does not yet exist.\n */\n if (clause.presence == lunr.Query.presence.PROHIBITED) {\n if (prohibitedMatches[field] === undefined) {\n prohibitedMatches[field] = lunr.Set.empty\n }\n\n prohibitedMatches[field] = prohibitedMatches[field].union(matchingDocumentsSet)\n\n /*\n * Prohibited matches should not be part of the query vector used for\n * similarity scoring and no metadata should be extracted so we continue\n * to the next field\n */\n continue\n }\n\n /*\n * The query field vector is populated using the termIndex found for\n * the term and a unit value with the appropriate boost applied.\n * Using upsert because there could already be an entry in the vector\n * for the term we are working with. In that case we just add the scores\n * together.\n */\n queryVectors[field].upsert(termIndex, clause.boost, function (a, b) { return a + b })\n\n /**\n * If we've already seen this term, field combo then we've already collected\n * the matching documents and metadata, no need to go through all that again\n */\n if (termFieldCache[termField]) {\n continue\n }\n\n for (var l = 0; l < matchingDocumentRefs.length; l++) {\n /*\n * All metadata for this term/field/document triple\n * are then extracted and collected into an instance\n * of lunr.MatchData ready to be returned in the query\n * results\n */\n var matchingDocumentRef = matchingDocumentRefs[l],\n matchingFieldRef = new lunr.FieldRef (matchingDocumentRef, field),\n metadata = fieldPosting[matchingDocumentRef],\n fieldMatch\n\n if ((fieldMatch = matchingFields[matchingFieldRef]) === undefined) {\n matchingFields[matchingFieldRef] = new lunr.MatchData (expandedTerm, field, metadata)\n } else {\n fieldMatch.add(expandedTerm, field, metadata)\n }\n\n }\n\n termFieldCache[termField] = true\n }\n }\n }\n\n /**\n * If the presence was required we need to update the requiredMatches field sets.\n * We do this after all fields for the term have collected their matches because\n * the clause terms presence is required in _any_ of the fields not _all_ of the\n * fields.\n */\n if (clause.presence === lunr.Query.presence.REQUIRED) {\n for (var k = 0; k < clause.fields.length; k++) {\n var field = clause.fields[k]\n requiredMatches[field] = requiredMatches[field].intersect(clauseMatches)\n }\n }\n }\n\n /**\n * Need to combine the field scoped required and prohibited\n * matching documents into a global set of required and prohibited\n * matches\n */\n var allRequiredMatches = lunr.Set.complete,\n allProhibitedMatches = lunr.Set.empty\n\n for (var i = 0; i < this.fields.length; i++) {\n var field = this.fields[i]\n\n if (requiredMatches[field]) {\n allRequiredMatches = allRequiredMatches.intersect(requiredMatches[field])\n }\n\n if (prohibitedMatches[field]) {\n allProhibitedMatches = allProhibitedMatches.union(prohibitedMatches[field])\n }\n }\n\n var matchingFieldRefs = Object.keys(matchingFields),\n results = [],\n matches = Object.create(null)\n\n /*\n * If the query is negated (contains only prohibited terms)\n * we need to get _all_ fieldRefs currently existing in the\n * index. This is only done when we know that the query is\n * entirely prohibited terms to avoid any cost of getting all\n * fieldRefs unnecessarily.\n *\n * Additionally, blank MatchData must be created to correctly\n * populate the results.\n */\n if (query.isNegated()) {\n matchingFieldRefs = Object.keys(this.fieldVectors)\n\n for (var i = 0; i < matchingFieldRefs.length; i++) {\n var matchingFieldRef = matchingFieldRefs[i]\n var fieldRef = lunr.FieldRef.fromString(matchingFieldRef)\n matchingFields[matchingFieldRef] = new lunr.MatchData\n }\n }\n\n for (var i = 0; i < matchingFieldRefs.length; i++) {\n /*\n * Currently we have document fields that match the query, but we\n * need to return documents. The matchData and scores are combined\n * from multiple fields belonging to the same document.\n *\n * Scores are calculated by field, using the query vectors created\n * above, and combined into a final document score using addition.\n */\n var fieldRef = lunr.FieldRef.fromString(matchingFieldRefs[i]),\n docRef = fieldRef.docRef\n\n if (!allRequiredMatches.contains(docRef)) {\n continue\n }\n\n if (allProhibitedMatches.contains(docRef)) {\n continue\n }\n\n var fieldVector = this.fieldVectors[fieldRef],\n score = queryVectors[fieldRef.fieldName].similarity(fieldVector),\n docMatch\n\n if ((docMatch = matches[docRef]) !== undefined) {\n docMatch.score += score\n docMatch.matchData.combine(matchingFields[fieldRef])\n } else {\n var match = {\n ref: docRef,\n score: score,\n matchData: matchingFields[fieldRef]\n }\n matches[docRef] = match\n results.push(match)\n }\n }\n\n /*\n * Sort the results objects by score, highest first.\n */\n return results.sort(function (a, b) {\n return b.score - a.score\n })\n}\n\n/**\n * Prepares the index for JSON serialization.\n *\n * The schema for this JSON blob will be described in a\n * separate JSON schema file.\n *\n * @returns {Object}\n */\nlunr.Index.prototype.toJSON = function () {\n var invertedIndex = Object.keys(this.invertedIndex)\n .sort()\n .map(function (term) {\n return [term, this.invertedIndex[term]]\n }, this)\n\n var fieldVectors = Object.keys(this.fieldVectors)\n .map(function (ref) {\n return [ref, this.fieldVectors[ref].toJSON()]\n }, this)\n\n return {\n version: lunr.version,\n fields: this.fields,\n fieldVectors: fieldVectors,\n invertedIndex: invertedIndex,\n pipeline: this.pipeline.toJSON()\n }\n}\n\n/**\n * Loads a previously serialized lunr.Index\n *\n * @param {Object} serializedIndex - A previously serialized lunr.Index\n * @returns {lunr.Index}\n */\nlunr.Index.load = function (serializedIndex) {\n var attrs = {},\n fieldVectors = {},\n serializedVectors = serializedIndex.fieldVectors,\n invertedIndex = Object.create(null),\n serializedInvertedIndex = serializedIndex.invertedIndex,\n tokenSetBuilder = new lunr.TokenSet.Builder,\n pipeline = lunr.Pipeline.load(serializedIndex.pipeline)\n\n if (serializedIndex.version != lunr.version) {\n lunr.utils.warn(\"Version mismatch when loading serialised index. Current version of lunr '\" + lunr.version + \"' does not match serialized index '\" + serializedIndex.version + \"'\")\n }\n\n for (var i = 0; i < serializedVectors.length; i++) {\n var tuple = serializedVectors[i],\n ref = tuple[0],\n elements = tuple[1]\n\n fieldVectors[ref] = new lunr.Vector(elements)\n }\n\n for (var i = 0; i < serializedInvertedIndex.length; i++) {\n var tuple = serializedInvertedIndex[i],\n term = tuple[0],\n posting = tuple[1]\n\n tokenSetBuilder.insert(term)\n invertedIndex[term] = posting\n }\n\n tokenSetBuilder.finish()\n\n attrs.fields = serializedIndex.fields\n\n attrs.fieldVectors = fieldVectors\n attrs.invertedIndex = invertedIndex\n attrs.tokenSet = tokenSetBuilder.root\n attrs.pipeline = pipeline\n\n return new lunr.Index(attrs)\n}\n/*!\n * lunr.Builder\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.Builder performs indexing on a set of documents and\n * returns instances of lunr.Index ready for querying.\n *\n * All configuration of the index is done via the builder, the\n * fields to index, the document reference, the text processing\n * pipeline and document scoring parameters are all set on the\n * builder before indexing.\n *\n * @constructor\n * @property {string} _ref - Internal reference to the document reference field.\n * @property {string[]} _fields - Internal reference to the document fields to index.\n * @property {object} invertedIndex - The inverted index maps terms to document fields.\n * @property {object} documentTermFrequencies - Keeps track of document term frequencies.\n * @property {object} documentLengths - Keeps track of the length of documents added to the index.\n * @property {lunr.tokenizer} tokenizer - Function for splitting strings into tokens for indexing.\n * @property {lunr.Pipeline} pipeline - The pipeline performs text processing on tokens before indexing.\n * @property {lunr.Pipeline} searchPipeline - A pipeline for processing search terms before querying the index.\n * @property {number} documentCount - Keeps track of the total number of documents indexed.\n * @property {number} _b - A parameter to control field length normalization, setting this to 0 disabled normalization, 1 fully normalizes field lengths, the default value is 0.75.\n * @property {number} _k1 - A parameter to control how quickly an increase in term frequency results in term frequency saturation, the default value is 1.2.\n * @property {number} termIndex - A counter incremented for each unique term, used to identify a terms position in the vector space.\n * @property {array} metadataWhitelist - A list of metadata keys that have been whitelisted for entry in the index.\n */\nlunr.Builder = function () {\n this._ref = \"id\"\n this._fields = Object.create(null)\n this._documents = Object.create(null)\n this.invertedIndex = Object.create(null)\n this.fieldTermFrequencies = {}\n this.fieldLengths = {}\n this.tokenizer = lunr.tokenizer\n this.pipeline = new lunr.Pipeline\n this.searchPipeline = new lunr.Pipeline\n this.documentCount = 0\n this._b = 0.75\n this._k1 = 1.2\n this.termIndex = 0\n this.metadataWhitelist = []\n}\n\n/**\n * Sets the document field used as the document reference. Every document must have this field.\n * The type of this field in the document should be a string, if it is not a string it will be\n * coerced into a string by calling toString.\n *\n * The default ref is 'id'.\n *\n * The ref should _not_ be changed during indexing, it should be set before any documents are\n * added to the index. Changing it during indexing can lead to inconsistent results.\n *\n * @param {string} ref - The name of the reference field in the document.\n */\nlunr.Builder.prototype.ref = function (ref) {\n this._ref = ref\n}\n\n/**\n * A function that is used to extract a field from a document.\n *\n * Lunr expects a field to be at the top level of a document, if however the field\n * is deeply nested within a document an extractor function can be used to extract\n * the right field for indexing.\n *\n * @callback fieldExtractor\n * @param {object} doc - The document being added to the index.\n * @returns {?(string|object|object[])} obj - The object that will be indexed for this field.\n * @example Extracting a nested field\n * function (doc) { return doc.nested.field }\n */\n\n/**\n * Adds a field to the list of document fields that will be indexed. Every document being\n * indexed should have this field. Null values for this field in indexed documents will\n * not cause errors but will limit the chance of that document being retrieved by searches.\n *\n * All fields should be added before adding documents to the index. Adding fields after\n * a document has been indexed will have no effect on already indexed documents.\n *\n * Fields can be boosted at build time. This allows terms within that field to have more\n * importance when ranking search results. Use a field boost to specify that matches within\n * one field are more important than other fields.\n *\n * @param {string} fieldName - The name of a field to index in all documents.\n * @param {object} attributes - Optional attributes associated with this field.\n * @param {number} [attributes.boost=1] - Boost applied to all terms within this field.\n * @param {fieldExtractor} [attributes.extractor] - Function to extract a field from a document.\n * @throws {RangeError} fieldName cannot contain unsupported characters '/'\n */\nlunr.Builder.prototype.field = function (fieldName, attributes) {\n if (/\\//.test(fieldName)) {\n throw new RangeError (\"Field '\" + fieldName + \"' contains illegal character '/'\")\n }\n\n this._fields[fieldName] = attributes || {}\n}\n\n/**\n * A parameter to tune the amount of field length normalisation that is applied when\n * calculating relevance scores. A value of 0 will completely disable any normalisation\n * and a value of 1 will fully normalise field lengths. The default is 0.75. Values of b\n * will be clamped to the range 0 - 1.\n *\n * @param {number} number - The value to set for this tuning parameter.\n */\nlunr.Builder.prototype.b = function (number) {\n if (number < 0) {\n this._b = 0\n } else if (number > 1) {\n this._b = 1\n } else {\n this._b = number\n }\n}\n\n/**\n * A parameter that controls the speed at which a rise in term frequency results in term\n * frequency saturation. The default value is 1.2. Setting this to a higher value will give\n * slower saturation levels, a lower value will result in quicker saturation.\n *\n * @param {number} number - The value to set for this tuning parameter.\n */\nlunr.Builder.prototype.k1 = function (number) {\n this._k1 = number\n}\n\n/**\n * Adds a document to the index.\n *\n * Before adding fields to the index the index should have been fully setup, with the document\n * ref and all fields to index already having been specified.\n *\n * The document must have a field name as specified by the ref (by default this is 'id') and\n * it should have all fields defined for indexing, though null or undefined values will not\n * cause errors.\n *\n * Entire documents can be boosted at build time. Applying a boost to a document indicates that\n * this document should rank higher in search results than other documents.\n *\n * @param {object} doc - The document to add to the index.\n * @param {object} attributes - Optional attributes associated with this document.\n * @param {number} [attributes.boost=1] - Boost applied to all terms within this document.\n */\nlunr.Builder.prototype.add = function (doc, attributes) {\n var docRef = doc[this._ref],\n fields = Object.keys(this._fields)\n\n this._documents[docRef] = attributes || {}\n this.documentCount += 1\n\n for (var i = 0; i < fields.length; i++) {\n var fieldName = fields[i],\n extractor = this._fields[fieldName].extractor,\n field = extractor ? extractor(doc) : doc[fieldName],\n tokens = this.tokenizer(field, {\n fields: [fieldName]\n }),\n terms = this.pipeline.run(tokens),\n fieldRef = new lunr.FieldRef (docRef, fieldName),\n fieldTerms = Object.create(null)\n\n this.fieldTermFrequencies[fieldRef] = fieldTerms\n this.fieldLengths[fieldRef] = 0\n\n // store the length of this field for this document\n this.fieldLengths[fieldRef] += terms.length\n\n // calculate term frequencies for this field\n for (var j = 0; j < terms.length; j++) {\n var term = terms[j]\n\n if (fieldTerms[term] == undefined) {\n fieldTerms[term] = 0\n }\n\n fieldTerms[term] += 1\n\n // add to inverted index\n // create an initial posting if one doesn't exist\n if (this.invertedIndex[term] == undefined) {\n var posting = Object.create(null)\n posting[\"_index\"] = this.termIndex\n this.termIndex += 1\n\n for (var k = 0; k < fields.length; k++) {\n posting[fields[k]] = Object.create(null)\n }\n\n this.invertedIndex[term] = posting\n }\n\n // add an entry for this term/fieldName/docRef to the invertedIndex\n if (this.invertedIndex[term][fieldName][docRef] == undefined) {\n this.invertedIndex[term][fieldName][docRef] = Object.create(null)\n }\n\n // store all whitelisted metadata about this token in the\n // inverted index\n for (var l = 0; l < this.metadataWhitelist.length; l++) {\n var metadataKey = this.metadataWhitelist[l],\n metadata = term.metadata[metadataKey]\n\n if (this.invertedIndex[term][fieldName][docRef][metadataKey] == undefined) {\n this.invertedIndex[term][fieldName][docRef][metadataKey] = []\n }\n\n this.invertedIndex[term][fieldName][docRef][metadataKey].push(metadata)\n }\n }\n\n }\n}\n\n/**\n * Calculates the average document length for this index\n *\n * @private\n */\nlunr.Builder.prototype.calculateAverageFieldLengths = function () {\n\n var fieldRefs = Object.keys(this.fieldLengths),\n numberOfFields = fieldRefs.length,\n accumulator = {},\n documentsWithField = {}\n\n for (var i = 0; i < numberOfFields; i++) {\n var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]),\n field = fieldRef.fieldName\n\n documentsWithField[field] || (documentsWithField[field] = 0)\n documentsWithField[field] += 1\n\n accumulator[field] || (accumulator[field] = 0)\n accumulator[field] += this.fieldLengths[fieldRef]\n }\n\n var fields = Object.keys(this._fields)\n\n for (var i = 0; i < fields.length; i++) {\n var fieldName = fields[i]\n accumulator[fieldName] = accumulator[fieldName] / documentsWithField[fieldName]\n }\n\n this.averageFieldLength = accumulator\n}\n\n/**\n * Builds a vector space model of every document using lunr.Vector\n *\n * @private\n */\nlunr.Builder.prototype.createFieldVectors = function () {\n var fieldVectors = {},\n fieldRefs = Object.keys(this.fieldTermFrequencies),\n fieldRefsLength = fieldRefs.length,\n termIdfCache = Object.create(null)\n\n for (var i = 0; i < fieldRefsLength; i++) {\n var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]),\n fieldName = fieldRef.fieldName,\n fieldLength = this.fieldLengths[fieldRef],\n fieldVector = new lunr.Vector,\n termFrequencies = this.fieldTermFrequencies[fieldRef],\n terms = Object.keys(termFrequencies),\n termsLength = terms.length\n\n\n var fieldBoost = this._fields[fieldName].boost || 1,\n docBoost = this._documents[fieldRef.docRef].boost || 1\n\n for (var j = 0; j < termsLength; j++) {\n var term = terms[j],\n tf = termFrequencies[term],\n termIndex = this.invertedIndex[term]._index,\n idf, score, scoreWithPrecision\n\n if (termIdfCache[term] === undefined) {\n idf = lunr.idf(this.invertedIndex[term], this.documentCount)\n termIdfCache[term] = idf\n } else {\n idf = termIdfCache[term]\n }\n\n score = idf * ((this._k1 + 1) * tf) / (this._k1 * (1 - this._b + this._b * (fieldLength / this.averageFieldLength[fieldName])) + tf)\n score *= fieldBoost\n score *= docBoost\n scoreWithPrecision = Math.round(score * 1000) / 1000\n // Converts 1.23456789 to 1.234.\n // Reducing the precision so that the vectors take up less\n // space when serialised. Doing it now so that they behave\n // the same before and after serialisation. Also, this is\n // the fastest approach to reducing a number's precision in\n // JavaScript.\n\n fieldVector.insert(termIndex, scoreWithPrecision)\n }\n\n fieldVectors[fieldRef] = fieldVector\n }\n\n this.fieldVectors = fieldVectors\n}\n\n/**\n * Creates a token set of all tokens in the index using lunr.TokenSet\n *\n * @private\n */\nlunr.Builder.prototype.createTokenSet = function () {\n this.tokenSet = lunr.TokenSet.fromArray(\n Object.keys(this.invertedIndex).sort()\n )\n}\n\n/**\n * Builds the index, creating an instance of lunr.Index.\n *\n * This completes the indexing process and should only be called\n * once all documents have been added to the index.\n *\n * @returns {lunr.Index}\n */\nlunr.Builder.prototype.build = function () {\n this.calculateAverageFieldLengths()\n this.createFieldVectors()\n this.createTokenSet()\n\n return new lunr.Index({\n invertedIndex: this.invertedIndex,\n fieldVectors: this.fieldVectors,\n tokenSet: this.tokenSet,\n fields: Object.keys(this._fields),\n pipeline: this.searchPipeline\n })\n}\n\n/**\n * Applies a plugin to the index builder.\n *\n * A plugin is a function that is called with the index builder as its context.\n * Plugins can be used to customise or extend the behaviour of the index\n * in some way. A plugin is just a function, that encapsulated the custom\n * behaviour that should be applied when building the index.\n *\n * The plugin function will be called with the index builder as its argument, additional\n * arguments can also be passed when calling use. The function will be called\n * with the index builder as its context.\n *\n * @param {Function} plugin The plugin to apply.\n */\nlunr.Builder.prototype.use = function (fn) {\n var args = Array.prototype.slice.call(arguments, 1)\n args.unshift(this)\n fn.apply(this, args)\n}\n/**\n * Contains and collects metadata about a matching document.\n * A single instance of lunr.MatchData is returned as part of every\n * lunr.Index~Result.\n *\n * @constructor\n * @param {string} term - The term this match data is associated with\n * @param {string} field - The field in which the term was found\n * @param {object} metadata - The metadata recorded about this term in this field\n * @property {object} metadata - A cloned collection of metadata associated with this document.\n * @see {@link lunr.Index~Result}\n */\nlunr.MatchData = function (term, field, metadata) {\n var clonedMetadata = Object.create(null),\n metadataKeys = Object.keys(metadata || {})\n\n // Cloning the metadata to prevent the original\n // being mutated during match data combination.\n // Metadata is kept in an array within the inverted\n // index so cloning the data can be done with\n // Array#slice\n for (var i = 0; i < metadataKeys.length; i++) {\n var key = metadataKeys[i]\n clonedMetadata[key] = metadata[key].slice()\n }\n\n this.metadata = Object.create(null)\n\n if (term !== undefined) {\n this.metadata[term] = Object.create(null)\n this.metadata[term][field] = clonedMetadata\n }\n}\n\n/**\n * An instance of lunr.MatchData will be created for every term that matches a\n * document. However only one instance is required in a lunr.Index~Result. This\n * method combines metadata from another instance of lunr.MatchData with this\n * objects metadata.\n *\n * @param {lunr.MatchData} otherMatchData - Another instance of match data to merge with this one.\n * @see {@link lunr.Index~Result}\n */\nlunr.MatchData.prototype.combine = function (otherMatchData) {\n var terms = Object.keys(otherMatchData.metadata)\n\n for (var i = 0; i < terms.length; i++) {\n var term = terms[i],\n fields = Object.keys(otherMatchData.metadata[term])\n\n if (this.metadata[term] == undefined) {\n this.metadata[term] = Object.create(null)\n }\n\n for (var j = 0; j < fields.length; j++) {\n var field = fields[j],\n keys = Object.keys(otherMatchData.metadata[term][field])\n\n if (this.metadata[term][field] == undefined) {\n this.metadata[term][field] = Object.create(null)\n }\n\n for (var k = 0; k < keys.length; k++) {\n var key = keys[k]\n\n if (this.metadata[term][field][key] == undefined) {\n this.metadata[term][field][key] = otherMatchData.metadata[term][field][key]\n } else {\n this.metadata[term][field][key] = this.metadata[term][field][key].concat(otherMatchData.metadata[term][field][key])\n }\n\n }\n }\n }\n}\n\n/**\n * Add metadata for a term/field pair to this instance of match data.\n *\n * @param {string} term - The term this match data is associated with\n * @param {string} field - The field in which the term was found\n * @param {object} metadata - The metadata recorded about this term in this field\n */\nlunr.MatchData.prototype.add = function (term, field, metadata) {\n if (!(term in this.metadata)) {\n this.metadata[term] = Object.create(null)\n this.metadata[term][field] = metadata\n return\n }\n\n if (!(field in this.metadata[term])) {\n this.metadata[term][field] = metadata\n return\n }\n\n var metadataKeys = Object.keys(metadata)\n\n for (var i = 0; i < metadataKeys.length; i++) {\n var key = metadataKeys[i]\n\n if (key in this.metadata[term][field]) {\n this.metadata[term][field][key] = this.metadata[term][field][key].concat(metadata[key])\n } else {\n this.metadata[term][field][key] = metadata[key]\n }\n }\n}\n/**\n * A lunr.Query provides a programmatic way of defining queries to be performed\n * against a {@link lunr.Index}.\n *\n * Prefer constructing a lunr.Query using the {@link lunr.Index#query} method\n * so the query object is pre-initialized with the right index fields.\n *\n * @constructor\n * @property {lunr.Query~Clause[]} clauses - An array of query clauses.\n * @property {string[]} allFields - An array of all available fields in a lunr.Index.\n */\nlunr.Query = function (allFields) {\n this.clauses = []\n this.allFields = allFields\n}\n\n/**\n * Constants for indicating what kind of automatic wildcard insertion will be used when constructing a query clause.\n *\n * This allows wildcards to be added to the beginning and end of a term without having to manually do any string\n * concatenation.\n *\n * The wildcard constants can be bitwise combined to select both leading and trailing wildcards.\n *\n * @constant\n * @default\n * @property {number} wildcard.NONE - The term will have no wildcards inserted, this is the default behaviour\n * @property {number} wildcard.LEADING - Prepend the term with a wildcard, unless a leading wildcard already exists\n * @property {number} wildcard.TRAILING - Append a wildcard to the term, unless a trailing wildcard already exists\n * @see lunr.Query~Clause\n * @see lunr.Query#clause\n * @see lunr.Query#term\n * @example query term with trailing wildcard\n * query.term('foo', { wildcard: lunr.Query.wildcard.TRAILING })\n * @example query term with leading and trailing wildcard\n * query.term('foo', {\n * wildcard: lunr.Query.wildcard.LEADING | lunr.Query.wildcard.TRAILING\n * })\n */\n\nlunr.Query.wildcard = new String (\"*\")\nlunr.Query.wildcard.NONE = 0\nlunr.Query.wildcard.LEADING = 1\nlunr.Query.wildcard.TRAILING = 2\n\n/**\n * Constants for indicating what kind of presence a term must have in matching documents.\n *\n * @constant\n * @enum {number}\n * @see lunr.Query~Clause\n * @see lunr.Query#clause\n * @see lunr.Query#term\n * @example query term with required presence\n * query.term('foo', { presence: lunr.Query.presence.REQUIRED })\n */\nlunr.Query.presence = {\n /**\n * Term's presence in a document is optional, this is the default value.\n */\n OPTIONAL: 1,\n\n /**\n * Term's presence in a document is required, documents that do not contain\n * this term will not be returned.\n */\n REQUIRED: 2,\n\n /**\n * Term's presence in a document is prohibited, documents that do contain\n * this term will not be returned.\n */\n PROHIBITED: 3\n}\n\n/**\n * A single clause in a {@link lunr.Query} contains a term and details on how to\n * match that term against a {@link lunr.Index}.\n *\n * @typedef {Object} lunr.Query~Clause\n * @property {string[]} fields - The fields in an index this clause should be matched against.\n * @property {number} [boost=1] - Any boost that should be applied when matching this clause.\n * @property {number} [editDistance] - Whether the term should have fuzzy matching applied, and how fuzzy the match should be.\n * @property {boolean} [usePipeline] - Whether the term should be passed through the search pipeline.\n * @property {number} [wildcard=lunr.Query.wildcard.NONE] - Whether the term should have wildcards appended or prepended.\n * @property {number} [presence=lunr.Query.presence.OPTIONAL] - The terms presence in any matching documents.\n */\n\n/**\n * Adds a {@link lunr.Query~Clause} to this query.\n *\n * Unless the clause contains the fields to be matched all fields will be matched. In addition\n * a default boost of 1 is applied to the clause.\n *\n * @param {lunr.Query~Clause} clause - The clause to add to this query.\n * @see lunr.Query~Clause\n * @returns {lunr.Query}\n */\nlunr.Query.prototype.clause = function (clause) {\n if (!('fields' in clause)) {\n clause.fields = this.allFields\n }\n\n if (!('boost' in clause)) {\n clause.boost = 1\n }\n\n if (!('usePipeline' in clause)) {\n clause.usePipeline = true\n }\n\n if (!('wildcard' in clause)) {\n clause.wildcard = lunr.Query.wildcard.NONE\n }\n\n if ((clause.wildcard & lunr.Query.wildcard.LEADING) && (clause.term.charAt(0) != lunr.Query.wildcard)) {\n clause.term = \"*\" + clause.term\n }\n\n if ((clause.wildcard & lunr.Query.wildcard.TRAILING) && (clause.term.slice(-1) != lunr.Query.wildcard)) {\n clause.term = \"\" + clause.term + \"*\"\n }\n\n if (!('presence' in clause)) {\n clause.presence = lunr.Query.presence.OPTIONAL\n }\n\n this.clauses.push(clause)\n\n return this\n}\n\n/**\n * A negated query is one in which every clause has a presence of\n * prohibited. These queries require some special processing to return\n * the expected results.\n *\n * @returns boolean\n */\nlunr.Query.prototype.isNegated = function () {\n for (var i = 0; i < this.clauses.length; i++) {\n if (this.clauses[i].presence != lunr.Query.presence.PROHIBITED) {\n return false\n }\n }\n\n return true\n}\n\n/**\n * Adds a term to the current query, under the covers this will create a {@link lunr.Query~Clause}\n * to the list of clauses that make up this query.\n *\n * The term is used as is, i.e. no tokenization will be performed by this method. Instead conversion\n * to a token or token-like string should be done before calling this method.\n *\n * The term will be converted to a string by calling `toString`. Multiple terms can be passed as an\n * array, each term in the array will share the same options.\n *\n * @param {object|object[]} term - The term(s) to add to the query.\n * @param {object} [options] - Any additional properties to add to the query clause.\n * @returns {lunr.Query}\n * @see lunr.Query#clause\n * @see lunr.Query~Clause\n * @example adding a single term to a query\n * query.term(\"foo\")\n * @example adding a single term to a query and specifying search fields, term boost and automatic trailing wildcard\n * query.term(\"foo\", {\n * fields: [\"title\"],\n * boost: 10,\n * wildcard: lunr.Query.wildcard.TRAILING\n * })\n * @example using lunr.tokenizer to convert a string to tokens before using them as terms\n * query.term(lunr.tokenizer(\"foo bar\"))\n */\nlunr.Query.prototype.term = function (term, options) {\n if (Array.isArray(term)) {\n term.forEach(function (t) { this.term(t, lunr.utils.clone(options)) }, this)\n return this\n }\n\n var clause = options || {}\n clause.term = term.toString()\n\n this.clause(clause)\n\n return this\n}\nlunr.QueryParseError = function (message, start, end) {\n this.name = \"QueryParseError\"\n this.message = message\n this.start = start\n this.end = end\n}\n\nlunr.QueryParseError.prototype = new Error\nlunr.QueryLexer = function (str) {\n this.lexemes = []\n this.str = str\n this.length = str.length\n this.pos = 0\n this.start = 0\n this.escapeCharPositions = []\n}\n\nlunr.QueryLexer.prototype.run = function () {\n var state = lunr.QueryLexer.lexText\n\n while (state) {\n state = state(this)\n }\n}\n\nlunr.QueryLexer.prototype.sliceString = function () {\n var subSlices = [],\n sliceStart = this.start,\n sliceEnd = this.pos\n\n for (var i = 0; i < this.escapeCharPositions.length; i++) {\n sliceEnd = this.escapeCharPositions[i]\n subSlices.push(this.str.slice(sliceStart, sliceEnd))\n sliceStart = sliceEnd + 1\n }\n\n subSlices.push(this.str.slice(sliceStart, this.pos))\n this.escapeCharPositions.length = 0\n\n return subSlices.join('')\n}\n\nlunr.QueryLexer.prototype.emit = function (type) {\n this.lexemes.push({\n type: type,\n str: this.sliceString(),\n start: this.start,\n end: this.pos\n })\n\n this.start = this.pos\n}\n\nlunr.QueryLexer.prototype.escapeCharacter = function () {\n this.escapeCharPositions.push(this.pos - 1)\n this.pos += 1\n}\n\nlunr.QueryLexer.prototype.next = function () {\n if (this.pos >= this.length) {\n return lunr.QueryLexer.EOS\n }\n\n var char = this.str.charAt(this.pos)\n this.pos += 1\n return char\n}\n\nlunr.QueryLexer.prototype.width = function () {\n return this.pos - this.start\n}\n\nlunr.QueryLexer.prototype.ignore = function () {\n if (this.start == this.pos) {\n this.pos += 1\n }\n\n this.start = this.pos\n}\n\nlunr.QueryLexer.prototype.backup = function () {\n this.pos -= 1\n}\n\nlunr.QueryLexer.prototype.acceptDigitRun = function () {\n var char, charCode\n\n do {\n char = this.next()\n charCode = char.charCodeAt(0)\n } while (charCode > 47 && charCode < 58)\n\n if (char != lunr.QueryLexer.EOS) {\n this.backup()\n }\n}\n\nlunr.QueryLexer.prototype.more = function () {\n return this.pos < this.length\n}\n\nlunr.QueryLexer.EOS = 'EOS'\nlunr.QueryLexer.FIELD = 'FIELD'\nlunr.QueryLexer.TERM = 'TERM'\nlunr.QueryLexer.EDIT_DISTANCE = 'EDIT_DISTANCE'\nlunr.QueryLexer.BOOST = 'BOOST'\nlunr.QueryLexer.PRESENCE = 'PRESENCE'\n\nlunr.QueryLexer.lexField = function (lexer) {\n lexer.backup()\n lexer.emit(lunr.QueryLexer.FIELD)\n lexer.ignore()\n return lunr.QueryLexer.lexText\n}\n\nlunr.QueryLexer.lexTerm = function (lexer) {\n if (lexer.width() > 1) {\n lexer.backup()\n lexer.emit(lunr.QueryLexer.TERM)\n }\n\n lexer.ignore()\n\n if (lexer.more()) {\n return lunr.QueryLexer.lexText\n }\n}\n\nlunr.QueryLexer.lexEditDistance = function (lexer) {\n lexer.ignore()\n lexer.acceptDigitRun()\n lexer.emit(lunr.QueryLexer.EDIT_DISTANCE)\n return lunr.QueryLexer.lexText\n}\n\nlunr.QueryLexer.lexBoost = function (lexer) {\n lexer.ignore()\n lexer.acceptDigitRun()\n lexer.emit(lunr.QueryLexer.BOOST)\n return lunr.QueryLexer.lexText\n}\n\nlunr.QueryLexer.lexEOS = function (lexer) {\n if (lexer.width() > 0) {\n lexer.emit(lunr.QueryLexer.TERM)\n }\n}\n\n// This matches the separator used when tokenising fields\n// within a document. These should match otherwise it is\n// not possible to search for some tokens within a document.\n//\n// It is possible for the user to change the separator on the\n// tokenizer so it _might_ clash with any other of the special\n// characters already used within the search string, e.g. :.\n//\n// This means that it is possible to change the separator in\n// such a way that makes some words unsearchable using a search\n// string.\nlunr.QueryLexer.termSeparator = lunr.tokenizer.separator\n\nlunr.QueryLexer.lexText = function (lexer) {\n while (true) {\n var char = lexer.next()\n\n if (char == lunr.QueryLexer.EOS) {\n return lunr.QueryLexer.lexEOS\n }\n\n // Escape character is '\\'\n if (char.charCodeAt(0) == 92) {\n lexer.escapeCharacter()\n continue\n }\n\n if (char == \":\") {\n return lunr.QueryLexer.lexField\n }\n\n if (char == \"~\") {\n lexer.backup()\n if (lexer.width() > 0) {\n lexer.emit(lunr.QueryLexer.TERM)\n }\n return lunr.QueryLexer.lexEditDistance\n }\n\n if (char == \"^\") {\n lexer.backup()\n if (lexer.width() > 0) {\n lexer.emit(lunr.QueryLexer.TERM)\n }\n return lunr.QueryLexer.lexBoost\n }\n\n // \"+\" indicates term presence is required\n // checking for length to ensure that only\n // leading \"+\" are considered\n if (char == \"+\" && lexer.width() === 1) {\n lexer.emit(lunr.QueryLexer.PRESENCE)\n return lunr.QueryLexer.lexText\n }\n\n // \"-\" indicates term presence is prohibited\n // checking for length to ensure that only\n // leading \"-\" are considered\n if (char == \"-\" && lexer.width() === 1) {\n lexer.emit(lunr.QueryLexer.PRESENCE)\n return lunr.QueryLexer.lexText\n }\n\n if (char.match(lunr.QueryLexer.termSeparator)) {\n return lunr.QueryLexer.lexTerm\n }\n }\n}\n\nlunr.QueryParser = function (str, query) {\n this.lexer = new lunr.QueryLexer (str)\n this.query = query\n this.currentClause = {}\n this.lexemeIdx = 0\n}\n\nlunr.QueryParser.prototype.parse = function () {\n this.lexer.run()\n this.lexemes = this.lexer.lexemes\n\n var state = lunr.QueryParser.parseClause\n\n while (state) {\n state = state(this)\n }\n\n return this.query\n}\n\nlunr.QueryParser.prototype.peekLexeme = function () {\n return this.lexemes[this.lexemeIdx]\n}\n\nlunr.QueryParser.prototype.consumeLexeme = function () {\n var lexeme = this.peekLexeme()\n this.lexemeIdx += 1\n return lexeme\n}\n\nlunr.QueryParser.prototype.nextClause = function () {\n var completedClause = this.currentClause\n this.query.clause(completedClause)\n this.currentClause = {}\n}\n\nlunr.QueryParser.parseClause = function (parser) {\n var lexeme = parser.peekLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n switch (lexeme.type) {\n case lunr.QueryLexer.PRESENCE:\n return lunr.QueryParser.parsePresence\n case lunr.QueryLexer.FIELD:\n return lunr.QueryParser.parseField\n case lunr.QueryLexer.TERM:\n return lunr.QueryParser.parseTerm\n default:\n var errorMessage = \"expected either a field or a term, found \" + lexeme.type\n\n if (lexeme.str.length >= 1) {\n errorMessage += \" with value '\" + lexeme.str + \"'\"\n }\n\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n}\n\nlunr.QueryParser.parsePresence = function (parser) {\n var lexeme = parser.consumeLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n switch (lexeme.str) {\n case \"-\":\n parser.currentClause.presence = lunr.Query.presence.PROHIBITED\n break\n case \"+\":\n parser.currentClause.presence = lunr.Query.presence.REQUIRED\n break\n default:\n var errorMessage = \"unrecognised presence operator'\" + lexeme.str + \"'\"\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n var nextLexeme = parser.peekLexeme()\n\n if (nextLexeme == undefined) {\n var errorMessage = \"expecting term or field, found nothing\"\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n switch (nextLexeme.type) {\n case lunr.QueryLexer.FIELD:\n return lunr.QueryParser.parseField\n case lunr.QueryLexer.TERM:\n return lunr.QueryParser.parseTerm\n default:\n var errorMessage = \"expecting term or field, found '\" + nextLexeme.type + \"'\"\n throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n }\n}\n\nlunr.QueryParser.parseField = function (parser) {\n var lexeme = parser.consumeLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n if (parser.query.allFields.indexOf(lexeme.str) == -1) {\n var possibleFields = parser.query.allFields.map(function (f) { return \"'\" + f + \"'\" }).join(', '),\n errorMessage = \"unrecognised field '\" + lexeme.str + \"', possible fields: \" + possibleFields\n\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n parser.currentClause.fields = [lexeme.str]\n\n var nextLexeme = parser.peekLexeme()\n\n if (nextLexeme == undefined) {\n var errorMessage = \"expecting term, found nothing\"\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n switch (nextLexeme.type) {\n case lunr.QueryLexer.TERM:\n return lunr.QueryParser.parseTerm\n default:\n var errorMessage = \"expecting term, found '\" + nextLexeme.type + \"'\"\n throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n }\n}\n\nlunr.QueryParser.parseTerm = function (parser) {\n var lexeme = parser.consumeLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n parser.currentClause.term = lexeme.str.toLowerCase()\n\n if (lexeme.str.indexOf(\"*\") != -1) {\n parser.currentClause.usePipeline = false\n }\n\n var nextLexeme = parser.peekLexeme()\n\n if (nextLexeme == undefined) {\n parser.nextClause()\n return\n }\n\n switch (nextLexeme.type) {\n case lunr.QueryLexer.TERM:\n parser.nextClause()\n return lunr.QueryParser.parseTerm\n case lunr.QueryLexer.FIELD:\n parser.nextClause()\n return lunr.QueryParser.parseField\n case lunr.QueryLexer.EDIT_DISTANCE:\n return lunr.QueryParser.parseEditDistance\n case lunr.QueryLexer.BOOST:\n return lunr.QueryParser.parseBoost\n case lunr.QueryLexer.PRESENCE:\n parser.nextClause()\n return lunr.QueryParser.parsePresence\n default:\n var errorMessage = \"Unexpected lexeme type '\" + nextLexeme.type + \"'\"\n throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n }\n}\n\nlunr.QueryParser.parseEditDistance = function (parser) {\n var lexeme = parser.consumeLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n var editDistance = parseInt(lexeme.str, 10)\n\n if (isNaN(editDistance)) {\n var errorMessage = \"edit distance must be numeric\"\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n parser.currentClause.editDistance = editDistance\n\n var nextLexeme = parser.peekLexeme()\n\n if (nextLexeme == undefined) {\n parser.nextClause()\n return\n }\n\n switch (nextLexeme.type) {\n case lunr.QueryLexer.TERM:\n parser.nextClause()\n return lunr.QueryParser.parseTerm\n case lunr.QueryLexer.FIELD:\n parser.nextClause()\n return lunr.QueryParser.parseField\n case lunr.QueryLexer.EDIT_DISTANCE:\n return lunr.QueryParser.parseEditDistance\n case lunr.QueryLexer.BOOST:\n return lunr.QueryParser.parseBoost\n case lunr.QueryLexer.PRESENCE:\n parser.nextClause()\n return lunr.QueryParser.parsePresence\n default:\n var errorMessage = \"Unexpected lexeme type '\" + nextLexeme.type + \"'\"\n throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n }\n}\n\nlunr.QueryParser.parseBoost = function (parser) {\n var lexeme = parser.consumeLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n var boost = parseInt(lexeme.str, 10)\n\n if (isNaN(boost)) {\n var errorMessage = \"boost must be numeric\"\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n parser.currentClause.boost = boost\n\n var nextLexeme = parser.peekLexeme()\n\n if (nextLexeme == undefined) {\n parser.nextClause()\n return\n }\n\n switch (nextLexeme.type) {\n case lunr.QueryLexer.TERM:\n parser.nextClause()\n return lunr.QueryParser.parseTerm\n case lunr.QueryLexer.FIELD:\n parser.nextClause()\n return lunr.QueryParser.parseField\n case lunr.QueryLexer.EDIT_DISTANCE:\n return lunr.QueryParser.parseEditDistance\n case lunr.QueryLexer.BOOST:\n return lunr.QueryParser.parseBoost\n case lunr.QueryLexer.PRESENCE:\n parser.nextClause()\n return lunr.QueryParser.parsePresence\n default:\n var errorMessage = \"Unexpected lexeme type '\" + nextLexeme.type + \"'\"\n throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n }\n}\n\n /**\n * export the module via AMD, CommonJS or as a browser global\n * Export code from https://github.com/umdjs/umd/blob/master/returnExports.js\n */\n ;(function (root, factory) {\n if (typeof define === 'function' && define.amd) {\n // AMD. Register as an anonymous module.\n define(factory)\n } else if (typeof exports === 'object') {\n /**\n * Node. Does not work with strict CommonJS, but\n * only CommonJS-like enviroments that support module.exports,\n * like Node.\n */\n module.exports = factory()\n } else {\n // Browser globals (root is window)\n root.lunr = factory()\n }\n }(this, function () {\n /**\n * Just return a value to define the module export.\n * This example returns an object, but the module\n * can return a function as the exported value.\n */\n return lunr\n }))\n})();\n", "/*!\n * escape-html\n * Copyright(c) 2012-2013 TJ Holowaychuk\n * Copyright(c) 2015 Andreas Lubbe\n * Copyright(c) 2015 Tiancheng \"Timothy\" Gu\n * MIT Licensed\n */\n\n'use strict';\n\n/**\n * Module variables.\n * @private\n */\n\nvar matchHtmlRegExp = /[\"'&<>]/;\n\n/**\n * Module exports.\n * @public\n */\n\nmodule.exports = escapeHtml;\n\n/**\n * Escape special characters in the given string of html.\n *\n * @param {string} string The string to escape for inserting into HTML\n * @return {string}\n * @public\n */\n\nfunction escapeHtml(string) {\n var str = '' + string;\n var match = matchHtmlRegExp.exec(str);\n\n if (!match) {\n return str;\n }\n\n var escape;\n var html = '';\n var index = 0;\n var lastIndex = 0;\n\n for (index = match.index; index < str.length; index++) {\n switch (str.charCodeAt(index)) {\n case 34: // \"\n escape = '"';\n break;\n case 38: // &\n escape = '&';\n break;\n case 39: // '\n escape = ''';\n break;\n case 60: // <\n escape = '<';\n break;\n case 62: // >\n escape = '>';\n break;\n default:\n continue;\n }\n\n if (lastIndex !== index) {\n html += str.substring(lastIndex, index);\n }\n\n lastIndex = index + 1;\n html += escape;\n }\n\n return lastIndex !== index\n ? html + str.substring(lastIndex, index)\n : html;\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A RTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport lunr from \"lunr\"\n\nimport \"~/polyfills\"\n\nimport { Search, SearchIndexConfig } from \"../../_\"\nimport {\n SearchMessage,\n SearchMessageType\n} from \"../message\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Add support for usage with `iframe-worker` polyfill\n *\n * While `importScripts` is synchronous when executed inside of a web worker,\n * it's not possible to provide a synchronous polyfilled implementation. The\n * cool thing is that awaiting a non-Promise is a noop, so extending the type\n * definition to return a `Promise` shouldn't break anything.\n *\n * @see https://bit.ly/2PjDnXi - GitHub comment\n */\ndeclare global {\n function importScripts(...urls: string[]): Promise | void\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Search index\n */\nlet index: Search\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch (= import) multi-language support through `lunr-languages`\n *\n * This function automatically imports the stemmers necessary to process the\n * languages, which are defined through the search index configuration.\n *\n * If the worker runs inside of an `iframe` (when using `iframe-worker` as\n * a shim), the base URL for the stemmers to be loaded must be determined by\n * searching for the first `script` element with a `src` attribute, which will\n * contain the contents of this script.\n *\n * @param config - Search index configuration\n *\n * @returns Promise resolving with no result\n */\nasync function setupSearchLanguages(\n config: SearchIndexConfig\n): Promise {\n let base = \"../lunr\"\n\n /* Detect `iframe-worker` and fix base URL */\n if (typeof parent !== \"undefined\" && \"IFrameWorker\" in parent) {\n const worker = document.querySelector(\"script[src]\")!\n const [path] = worker.src.split(\"/worker\")\n\n /* Prefix base with path */\n base = base.replace(\"..\", path)\n }\n\n /* Add scripts for languages */\n const scripts = []\n for (const lang of config.lang) {\n switch (lang) {\n\n /* Add segmenter for Japanese */\n case \"ja\":\n scripts.push(`${base}/tinyseg.js`)\n break\n\n /* Add segmenter for Hindi and Thai */\n case \"hi\":\n case \"th\":\n scripts.push(`${base}/wordcut.js`)\n break\n }\n\n /* Add language support */\n if (lang !== \"en\")\n scripts.push(`${base}/min/lunr.${lang}.min.js`)\n }\n\n /* Add multi-language support */\n if (config.lang.length > 1)\n scripts.push(`${base}/min/lunr.multi.min.js`)\n\n /* Load scripts synchronously */\n if (scripts.length)\n await importScripts(\n `${base}/min/lunr.stemmer.support.min.js`,\n ...scripts\n )\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Message handler\n *\n * @param message - Source message\n *\n * @returns Target message\n */\nexport async function handler(\n message: SearchMessage\n): Promise {\n switch (message.type) {\n\n /* Search setup message */\n case SearchMessageType.SETUP:\n await setupSearchLanguages(message.data.config)\n index = new Search(message.data)\n return {\n type: SearchMessageType.READY\n }\n\n /* Search query message */\n case SearchMessageType.QUERY:\n return {\n type: SearchMessageType.RESULT,\n data: index ? index.search(message.data) : { items: [] }\n }\n\n /* All other messages */\n default:\n throw new TypeError(\"Invalid message type\")\n }\n}\n\n/* ----------------------------------------------------------------------------\n * Worker\n * ------------------------------------------------------------------------- */\n\n/* @ts-expect-error - expose Lunr.js in global scope, or stemmers won't work */\nself.lunr = lunr\n\n/* Handle messages */\naddEventListener(\"message\", async ev => {\n postMessage(await handler(ev.data))\n})\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Polyfills\n * ------------------------------------------------------------------------- */\n\n/* Polyfill `Object.entries` */\nif (!Object.entries)\n Object.entries = function (obj: object) {\n const data: [string, string][] = []\n for (const key of Object.keys(obj))\n // @ts-expect-error - ignore property access warning\n data.push([key, obj[key]])\n\n /* Return entries */\n return data\n }\n\n/* Polyfill `Object.values` */\nif (!Object.values)\n Object.values = function (obj: object) {\n const data: string[] = []\n for (const key of Object.keys(obj))\n // @ts-expect-error - ignore property access warning\n data.push(obj[key])\n\n /* Return values */\n return data\n }\n\n/* ------------------------------------------------------------------------- */\n\n/* Polyfills for `Element` */\nif (typeof Element !== \"undefined\") {\n\n /* Polyfill `Element.scrollTo` */\n if (!Element.prototype.scrollTo)\n Element.prototype.scrollTo = function (\n x?: ScrollToOptions | number, y?: number\n ): void {\n if (typeof x === \"object\") {\n this.scrollLeft = x.left!\n this.scrollTop = x.top!\n } else {\n this.scrollLeft = x!\n this.scrollTop = y!\n }\n }\n\n /* Polyfill `Element.replaceWith` */\n if (!Element.prototype.replaceWith)\n Element.prototype.replaceWith = function (\n ...nodes: Array\n ): void {\n const parent = this.parentNode\n if (parent) {\n if (nodes.length === 0)\n parent.removeChild(this)\n\n /* Replace children and create text nodes */\n for (let i = nodes.length - 1; i >= 0; i--) {\n let node = nodes[i]\n if (typeof node === \"string\")\n node = document.createTextNode(node)\n else if (node.parentNode)\n node.parentNode.removeChild(node)\n\n /* Replace child or insert before previous sibling */\n if (!i)\n parent.replaceChild(node, this)\n else\n parent.insertBefore(this.previousSibling!, node)\n }\n }\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport escapeHTML from \"escape-html\"\n\nimport { SearchIndexDocument } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search document\n */\nexport interface SearchDocument extends SearchIndexDocument {\n parent?: SearchIndexDocument /* Parent article */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search document mapping\n */\nexport type SearchDocumentMap = Map\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create a search document mapping\n *\n * @param docs - Search index documents\n *\n * @returns Search document map\n */\nexport function setupSearchDocumentMap(\n docs: SearchIndexDocument[]\n): SearchDocumentMap {\n const documents = new Map()\n const parents = new Set()\n for (const doc of docs) {\n const [path, hash] = doc.location.split(\"#\")\n\n /* Extract location, title and tags */\n const location = doc.location\n const title = doc.title\n const tags = doc.tags\n\n /* Escape and cleanup text */\n const text = escapeHTML(doc.text)\n .replace(/\\s+(?=[,.:;!?])/g, \"\")\n .replace(/\\s+/g, \" \")\n\n /* Handle section */\n if (hash) {\n const parent = documents.get(path)!\n\n /* Ignore first section, override article */\n if (!parents.has(parent)) {\n parent.title = doc.title\n parent.text = text\n\n /* Remember that we processed the article */\n parents.add(parent)\n\n /* Add subsequent section */\n } else {\n documents.set(location, {\n location,\n title,\n text,\n parent\n })\n }\n\n /* Add article */\n } else {\n documents.set(location, {\n location,\n title,\n text,\n ...tags && { tags }\n })\n }\n }\n return documents\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport escapeHTML from \"escape-html\"\n\nimport { SearchIndexConfig } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search highlight function\n *\n * @param value - Value\n *\n * @returns Highlighted value\n */\nexport type SearchHighlightFn = (value: string) => string\n\n/**\n * Search highlight factory function\n *\n * @param query - Query value\n *\n * @returns Search highlight function\n */\nexport type SearchHighlightFactoryFn = (query: string) => SearchHighlightFn\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create a search highlighter\n *\n * @param config - Search index configuration\n * @param escape - Whether to escape HTML\n *\n * @returns Search highlight factory function\n */\nexport function setupSearchHighlighter(\n config: SearchIndexConfig, escape: boolean\n): SearchHighlightFactoryFn {\n const separator = new RegExp(config.separator, \"img\")\n const highlight = (_: unknown, data: string, term: string) => {\n return `${data}${term}`\n }\n\n /* Return factory function */\n return (query: string) => {\n query = query\n .replace(/[\\s*+\\-:~^]+/g, \" \")\n .trim()\n\n /* Create search term match expression */\n const match = new RegExp(`(^|${config.separator})(${\n query\n .replace(/[|\\\\{}()[\\]^$+*?.-]/g, \"\\\\$&\")\n .replace(separator, \"|\")\n })`, \"img\")\n\n /* Highlight string value */\n return value => (\n escape\n ? escapeHTML(value)\n : value\n )\n .replace(match, highlight)\n .replace(/<\\/mark>(\\s+)]*>/img, \"$1\")\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search query clause\n */\nexport interface SearchQueryClause {\n presence: lunr.Query.presence /* Clause presence */\n term: string /* Clause term */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search query terms\n */\nexport type SearchQueryTerms = Record\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Parse a search query for analysis\n *\n * @param value - Query value\n *\n * @returns Search query clauses\n */\nexport function parseSearchQuery(\n value: string\n): SearchQueryClause[] {\n const query = new (lunr as any).Query([\"title\", \"text\"])\n const parser = new (lunr as any).QueryParser(value, query)\n\n /* Parse and return query clauses */\n parser.parse()\n return query.clauses\n}\n\n/**\n * Analyze the search query clauses in regard to the search terms found\n *\n * @param query - Search query clauses\n * @param terms - Search terms\n *\n * @returns Search query terms\n */\nexport function getSearchQueryTerms(\n query: SearchQueryClause[], terms: string[]\n): SearchQueryTerms {\n const clauses = new Set(query)\n\n /* Match query clauses against terms */\n const result: SearchQueryTerms = {}\n for (let t = 0; t < terms.length; t++)\n for (const clause of clauses)\n if (terms[t].startsWith(clause.term)) {\n result[clause.term] = true\n clauses.delete(clause)\n }\n\n /* Annotate unmatched non-stopword query clauses */\n for (const clause of clauses)\n if (lunr.stopWordFilter?.(clause.term as any))\n result[clause.term] = false\n\n /* Return query terms */\n return result\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n SearchDocument,\n SearchDocumentMap,\n setupSearchDocumentMap\n} from \"../document\"\nimport {\n SearchHighlightFactoryFn,\n setupSearchHighlighter\n} from \"../highlighter\"\nimport { SearchOptions } from \"../options\"\nimport {\n SearchQueryTerms,\n getSearchQueryTerms,\n parseSearchQuery\n} from \"../query\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search index configuration\n */\nexport interface SearchIndexConfig {\n lang: string[] /* Search languages */\n separator: string /* Search separator */\n}\n\n/**\n * Search index document\n */\nexport interface SearchIndexDocument {\n location: string /* Document location */\n title: string /* Document title */\n text: string /* Document text */\n tags?: string[] /* Document tags */\n boost?: number /* Document boost */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search index\n *\n * This interfaces describes the format of the `search_index.json` file which\n * is automatically built by the MkDocs search plugin.\n */\nexport interface SearchIndex {\n config: SearchIndexConfig /* Search index configuration */\n docs: SearchIndexDocument[] /* Search index documents */\n options: SearchOptions /* Search options */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search metadata\n */\nexport interface SearchMetadata {\n score: number /* Score (relevance) */\n terms: SearchQueryTerms /* Search query terms */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search result document\n */\nexport type SearchResultDocument = SearchDocument & SearchMetadata\n\n/**\n * Search result item\n */\nexport type SearchResultItem = SearchResultDocument[]\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search result\n */\nexport interface SearchResult {\n items: SearchResultItem[] /* Search result items */\n suggestions?: string[] /* Search suggestions */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Compute the difference of two lists of strings\n *\n * @param a - 1st list of strings\n * @param b - 2nd list of strings\n *\n * @returns Difference\n */\nfunction difference(a: string[], b: string[]): string[] {\n const [x, y] = [new Set(a), new Set(b)]\n return [\n ...new Set([...x].filter(value => !y.has(value)))\n ]\n}\n\n/* ----------------------------------------------------------------------------\n * Class\n * ------------------------------------------------------------------------- */\n\n/**\n * Search index\n */\nexport class Search {\n\n /**\n * Search document mapping\n *\n * A mapping of URLs (including hash fragments) to the actual articles and\n * sections of the documentation. The search document mapping must be created\n * regardless of whether the index was prebuilt or not, as Lunr.js itself\n * only stores the actual index.\n */\n protected documents: SearchDocumentMap\n\n /**\n * Search highlight factory function\n */\n protected highlight: SearchHighlightFactoryFn\n\n /**\n * The underlying Lunr.js search index\n */\n protected index: lunr.Index\n\n /**\n * Search options\n */\n protected options: SearchOptions\n\n /**\n * Create the search integration\n *\n * @param data - Search index\n */\n public constructor({ config, docs, options }: SearchIndex) {\n this.options = options\n\n /* Set up document map and highlighter factory */\n this.documents = setupSearchDocumentMap(docs)\n this.highlight = setupSearchHighlighter(config, false)\n\n /* Set separator for tokenizer */\n lunr.tokenizer.separator = new RegExp(config.separator)\n\n /* Create search index */\n this.index = lunr(function () {\n\n /* Set up multi-language support */\n if (config.lang.length === 1 && config.lang[0] !== \"en\") {\n this.use((lunr as any)[config.lang[0]])\n } else if (config.lang.length > 1) {\n this.use((lunr as any).multiLanguage(...config.lang))\n }\n\n /* Compute functions to be removed from the pipeline */\n const fns = difference([\n \"trimmer\", \"stopWordFilter\", \"stemmer\"\n ], options.pipeline)\n\n /* Remove functions from the pipeline for registered languages */\n for (const lang of config.lang.map(language => (\n language === \"en\" ? lunr : (lunr as any)[language]\n ))) {\n for (const fn of fns) {\n this.pipeline.remove(lang[fn])\n this.searchPipeline.remove(lang[fn])\n }\n }\n\n /* Set up reference */\n this.ref(\"location\")\n\n /* Set up fields */\n this.field(\"title\", { boost: 1e3 })\n this.field(\"text\")\n this.field(\"tags\", { boost: 1e6, extractor: doc => {\n const { tags = [] } = doc as SearchDocument\n return tags.reduce((list, tag) => [\n ...list,\n ...lunr.tokenizer(tag)\n ], [] as lunr.Token[])\n } })\n\n /* Index documents */\n for (const doc of docs)\n this.add(doc, { boost: doc.boost })\n })\n }\n\n /**\n * Search for matching documents\n *\n * The search index which MkDocs provides is divided up into articles, which\n * contain the whole content of the individual pages, and sections, which only\n * contain the contents of the subsections obtained by breaking the individual\n * pages up at `h1` ... `h6`. As there may be many sections on different pages\n * with identical titles (for example within this very project, e.g. \"Usage\"\n * or \"Installation\"), they need to be put into the context of the containing\n * page. For this reason, section results are grouped within their respective\n * articles which are the top-level results that are returned.\n *\n * @param query - Query value\n *\n * @returns Search results\n */\n public search(query: string): SearchResult {\n if (query) {\n try {\n const highlight = this.highlight(query)\n\n /* Parse query to extract clauses for analysis */\n const clauses = parseSearchQuery(query)\n .filter(clause => (\n clause.presence !== lunr.Query.presence.PROHIBITED\n ))\n\n /* Perform search and post-process results */\n const groups = this.index.search(`${query}*`)\n\n /* Apply post-query boosts based on title and search query terms */\n .reduce((item, { ref, score, matchData }) => {\n const document = this.documents.get(ref)\n if (typeof document !== \"undefined\") {\n const { location, title, text, tags, parent } = document\n\n /* Compute and analyze search query terms */\n const terms = getSearchQueryTerms(\n clauses,\n Object.keys(matchData.metadata)\n )\n\n /* Highlight title and text and apply post-query boosts */\n const boost = +!parent + +Object.values(terms).every(t => t)\n item.push({\n location,\n title: highlight(title),\n text: highlight(text),\n ...tags && { tags: tags.map(highlight) },\n score: score * (1 + boost),\n terms\n })\n }\n return item\n }, [])\n\n /* Sort search results again after applying boosts */\n .sort((a, b) => b.score - a.score)\n\n /* Group search results by page */\n .reduce((items, result) => {\n const document = this.documents.get(result.location)\n if (typeof document !== \"undefined\") {\n const ref = \"parent\" in document\n ? document.parent!.location\n : document.location\n items.set(ref, [...items.get(ref) || [], result])\n }\n return items\n }, new Map())\n\n /* Generate search suggestions, if desired */\n let suggestions: string[] | undefined\n if (this.options.suggestions) {\n const titles = this.index.query(builder => {\n for (const clause of clauses)\n builder.term(clause.term, {\n fields: [\"title\"],\n presence: lunr.Query.presence.REQUIRED,\n wildcard: lunr.Query.wildcard.TRAILING\n })\n })\n\n /* Retrieve suggestions for best match */\n suggestions = titles.length\n ? Object.keys(titles[0].matchData.metadata)\n : []\n }\n\n /* Return items and suggestions */\n return {\n items: [...groups.values()],\n ...typeof suggestions !== \"undefined\" && { suggestions }\n }\n\n /* Log errors to console (for now) */\n } catch {\n console.warn(`Invalid query: ${query} \u2013 see https://bit.ly/2s3ChXG`)\n }\n }\n\n /* Return nothing in case of error or empty query */\n return { items: [] }\n }\n}\n"], + "mappings": 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\ No newline at end of file diff --git a/changelog/index.html b/changelog/index.html new file mode 100644 index 0000000..42089a7 --- /dev/null +++ b/changelog/index.html @@ -0,0 +1,913 @@ + + + + + + + + + + + + + + + + + + Changelog - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    lasso.diffcrash

    +

    This is the diffcrash module, which consists of a command line utility +as well as a class for writing scripts. +Diffcrash is a software from Sidact which is designed for robustness +analysis of simulation runs. +It can be used as a set of independent executables or as a postprocessor plugin. +Diffcrash itself must be licensed. +Please therefore contact Sidact directly. +This module makes running a Diffcrash analysis much easier.

    +
      +
    • Command Line Utility
      • +
    • Code
      • +
    + + + + + + +
    +
    + + +
    + +
    + + + +
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    +
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    + + + + + + + + + + \ No newline at end of file diff --git a/diffcrash/diffcrash_run/index.html b/diffcrash/diffcrash_run/index.html new file mode 100644 index 0000000..21bbe99 --- /dev/null +++ b/diffcrash/diffcrash_run/index.html @@ -0,0 +1,1898 @@ + + + + + + + + + + + + + + + + + + Code - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    DiffcrashRun

    +

    This class can be used in order to automate diffcrash runs in a hopefully +comfortable manner.

    + + +
    + + + +
    + + +

    Class for handling the settings of a diffcrash run

    + + + + + +
    + + + + + + + + + +
    + + + +

    +__init__(project_dir, crash_code, reference_run, simulation_runs, exclude_runs, diffcrash_home='', use_id_mapping=False, config_file=None, parameter_file=None, n_processes=1, logfile_dir=None) + +

    + + +
    + +

    Object handling a diffcrash run

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    project_dir + str +

    directory to put all buffer files etc., in

    		 + required +
    crash_code + str +

    crash code to use.

    		 + required +
    reference_run + str +

    filepath to the reference run

    		 + required +
    simulation_runs + typing.Sequence[str] +

    patterns used to search for simulation runs

    		 + required +
    diffcrash_home + str +

    home directory of diffcrash installation. Uses environment +variable DIFFCRASHHOME if not set.

    		 + '' +
    use_id_mapping + bool +

    whether to use id mapping instead of nearest neighbor mapping

    		 + False +
    config_file + str +

    filepath to a config file

    		 + None +
    parameter_file + str +

    filepath to the parameter file

    		 + None +
    n_processes + int +

    number of processes to spawn for worker pool

    		 + 1 +
    logfile_dir + str +

    directory to put logfiles in

    		 + None +
    + +
    + +
    + +
    + + + +

    +check_if_logfiles_show_success(pattern) + +

    + + +
    + +

    Check if a logfiles with given pattern show success

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    pattern + str +

    file pattern used to search for logfiles

    		 + required +
    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    messages + List[str] +

    list with messages of failed log checks

    + +
    + +
    + +
    + + + +

    +clear_project_dir() + +

    + + +
    + +

    Clears the entire project dir

    + +
    + +
    + +
    + + + +

    +create_project_dirs() + +

    + + +
    + +

    Creates all project relevant directores

    +

    Notes

    +
    Created dirs:
+ - logfile_dir
+ - project_dir
+
    + +
    + +
    + +
    + + + +

    +is_logfile_successful(logfile) + +

    + + +
    + +

    Checks if a logfile indicates a success

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    logfile + str +

    filepath to the logfile

    		 + required +
    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    success + bool +
    + +
    + +
    + +
    + + + +

    +read_config_file(config_file) + +

    + + +
    + +

    Read a diffcrash config file

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    config_file + str +

    path to the config file

    		 + required +
    +

    Notes

    +
    From the official diffcrash docs ... seriously.
+
    + +
    + +
    + +
    + + + +

    +run_eigen(pool) + +

    + + +
    + +

    Run diffcrash eigen

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    pool + futures.ThreadPoolExecutor +

    multiprocessing pool

    		 + required +
    + +
    + +
    + +
    + + + +

    +run_export(pool) + +

    + + +
    + +

    Run diffcrash export

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    pool + futures.ThreadPoolExecutor +

    multiprocessing pool

    		 + required +
    + +
    + +
    + +
    + + + +

    +run_import(pool) + +

    + + +
    + +

    Run diffcrash import of runs

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    pool + futures.ThreadPoolExecutor +

    multiprocessing pool

    		 + required +
    + +
    + +
    + +
    + + + +

    +run_math(pool) + +

    + + +
    + +

    Run diffcrash math

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    pool + futures.ThreadPoolExecutor +

    multiprocessing pool

    		 + required +
    + +
    + +
    + +
    + + + +

    +run_matrix(pool) + +

    + + +
    + +

    Run diffcrash matrix

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    pool + futures.ThreadPoolExecutor +

    multiprocessing pool

    		 + required +
    + +
    + +
    + +
    + + + +

    +run_merge(pool) + +

    + + +
    + +

    Run diffcrash merge

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    pool + futures.ThreadPoolExecutor +

    multiprocessing pool

    		 + required +
    + +
    + +
    + +
    + + + +

    +run_setup(pool) + +

    + + +
    + +

    Run diffcrash setup

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    pool + futures.ThreadPoolExecutor +

    multiprocessing pool

    		 + required +
    + +
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    + + + + + + + + + + \ No newline at end of file diff --git a/diffcrash/run/index.html b/diffcrash/run/index.html new file mode 100644 index 0000000..28ec92f --- /dev/null +++ b/diffcrash/run/index.html @@ -0,0 +1,1146 @@ + + + + + + + + + + + + + + + + + + Command Line Tool - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
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    + + + + + + + + + +

    run

    +

    What is Diffcrash?

    +

    Diffcrash is a software from Sidact which is designed for robustness +analysis of simulation runs. +It can be used as a set of independent executables or as a postprocessor plugin. +Diffcrash itself must be licensed. +Please therefore contact Sidact directly. +This commmand line utility makes running a Diffcrash analysis much +easier.

    +

    How to use the utility?

    +

    You can get the run info by performing:

    +
    $ python -m lasso.diffcrash.run --help
+
+==== D I F F C R A S H ====
+
+an open lasso utility script
+
+usage: run.py [-h] --reference-run REFERENCE_RUN
+            [--exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]]] --crash-code
+            CRASH_CODE [--start-stage [START_STAGE]]
+            [--end-stage [END_STAGE]] [--diffcrash-home [DIFFCRASH_HOME]]
+            [--use-id-mapping [USE_ID_MAPPING]]
+            [--project-dir [PROJECT_DIR]] [--config-file [CONFIG_FILE]]
+            [--parameter-file [PARAMETER_FILE]]
+            [--n-processes [N_PROCESSES]]
+            [simulation_runs [simulation_runs ...]]
+
+Python utility script for Diffcrash.
+
+positional arguments:
+simulation_runs       Simulation runs or patterns used to search for
+                        simulation runs.
+
+optional arguments:
+-h, --help            show this help message and exit
+--reference-run REFERENCE_RUN
+                        filepath of the reference run.
+--exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]]
+                        Runs to exclude from the analysis.
+--crash-code CRASH_CODE
+                        Which crash code is used ('dyna', 'pam' or 'radioss').
+--start-stage [START_STAGE]
+                        At which specific stage to start the analysis (SETUP,
+                        IMPORT, MATH, EXPORT, MATRIX, EIGEN, MERGE).
+--end-stage [END_STAGE]
+                        At which specific stage to stop the analysis (SETUP,
+                        IMPORT, MATH, EXPORT, MATRIX, EIGEN, MERGE).
+--diffcrash-home [DIFFCRASH_HOME]
+                        Home directory where Diffcrash is installed. Uses
+                        environment variable 'DIFFCRASHHOME' if unspecified.
+--use-id-mapping [USE_ID_MAPPING]
+                        Whether to use id-based mapping (default is nearest
+                        neighbour).
+--project-dir [PROJECT_DIR]
+                        Project dir to use for femzip.
+--config-file [CONFIG_FILE]
+                        Path to the config file.
+--parameter-file [PARAMETER_FILE]
+                        Path to the parameter file.
+--n-processes [N_PROCESSES]
+                        Number of processes to use (default: max-1).
+
    +

    It is important to specify a --reference-run for the +analysis. If the reference run is contained within the rest of the +simulation_runs, it is automatically removed from that +list. simulation_runs can be either tagged individually +or by using placeholders for entire directories (e.g. '*.fz') and +subdirectories (e.g. '/**/*.fz').

    +
    +

    Warning

    +

    Every run clears the project directory entirely!

    +
    +

    Example

    +
    $ python -m lasso.diffcrash.run \
+$    --reference-run ./runs/run_1.fz \ 
+$    --crash-code dyna \
+$    --project-dir diffcrash_project \  
+$    ./runs/*.fz
+
+
+==== D I F F C R A S H ==== 
+
+an open lasso utility script
+
+[/] diffcrash-home  : /sw/Linux/diffcrash/V6.1.24
+[/] project-dir     : test-example-project
+[/] crash-code      : dyna
+[/] reference-run   : bus/run_1.fz
+[/] use-id-mapping  : False
+[/] # simul.-files  : 37
+[/] # excluded files: 0
+[/] config-file     : None
+[!] Config file missing. Consider specifying the path with the option '--config-file'.
+[/] parameter-file  : None
+[!] Parameter file missing. Consider specifying the path with the option '--parameter-file'.
+[/] n-processes     : 4
+
+---- Running Routines ----   
+
+[✔] Running Setup ... done in 3.88s
+[✔] Running Imports ... done in 58.20s   
+[✔] Running Math ... done in 56.22s   
+[✔] Running Export ... done in 2.22s   
+[✔] Running Matrix ... done in 9.78s   
+[✔] Running Eigen ... done in 0.46s   
+[✔] Running Merge ... done in 23.29s
+
    + + + + + + +
    +
    + + +
    + +
    + + + +
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    + + + + + + + + + + \ No newline at end of file diff --git a/dimred/DimredRun/index.html b/dimred/DimredRun/index.html new file mode 100644 index 0000000..0ad91ad --- /dev/null +++ b/dimred/DimredRun/index.html @@ -0,0 +1,1470 @@ + + + + + + + + + + + + + + + + + + DimredRun - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
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    + + + + + + + + + +

    DimredRun

    +

    This class can be used in order to comfortably represent multiple D3plot samples +in a 3D graph through dimensionality reduction. +In the 3D graph every simulation is a data point and the closeness of the data +points represents the similarity of the result field. +It offers functions to:

    +
      +
    • Subsample simulations to reduce the computational effort and account for + different meshing.
      • +
    • Reduce order which is the black magic reducing complex field results to + a few numbers which can then be plotted in 3D.
      • +
    • Clustering with sklearn to group simulations semi-automatically + (mostly just a visual feature).
      • +
    • Output 3D similarity plot as a webpage
      • +
    +

    For ease of use, check out the Tool section, which explains the command line +tool for this dimensionality reduction feature.

    + + +
    + + + +
    + + +

    Class to control and run the dimensionality reduction process

    + + + + + +
    + + + + + + + + + +
    + + + +

    +__init__(simulation_runs, start_stage, end_stage, project_dir, html_name='3d-beta-plot', html_set_timestamp=False, reference_run=None, console=None, img_path=None, exclude_runs=None, logfile_filepath=None, n_processes=1, part_id_filter=None, timestep=-1, show_output=True, cluster_args=None, outlier_args=None) + +

    + + +
    + +

    Class handling a dimensionality reduction

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    simulation_runs + Sequence[str] +

    simulation runs to analyze

    		 + required +
    start_stage + str +

    where to start

    		 + required +
    end_stage + str +

    where to stop

    		 + required +
    project_dir + Union[None, str] +

    required project directory for creation of buffer files. Allows restart in between.

    		 + required +
    html_name + str +

    Name of the output .html file

    		 + '3d-beta-plot' +
    html_set_timestamp + bool +

    If true, the output .html will include a timestamp (hh_mm_ss) at the end of the filename

    		 + False +
    reference_run + str +

    filepath to the reference run. +If not set, first entry in simulation_runs will be used as reference run.

    		 + None +
    console + Union[Console, None] +

    Console for information printing and logging. +Rich offers pretty text printing, syntax highlighting etc.

    		 + None +
    img_path + Union[None, str] +

    optional image directory to show images in visualization.

    		 + None +
    exclude_runs + Union[None, Sequence[str]] +

    optional list of runs to exclude from processing

    		 + None +
    logfile_filepath + Union[str, None] +

    path of the log file (always appends)

    		 + None +
    n_processes + int +

    number of processes to use during execution

    		 + 1 +
    part_id_filter + Union[None, Sequence[int]] +

    which part ids to process

    		 + None +
    timestep + int +

    specifies timestep to analyze in clustering and show in output visualization

    		 + -1 +
    show_output + bool +

    Set to false not to show the output html in the browser

    		 + True +
    cluster_args + Union[None, Sequence[str]] +

    Arguments for cluster algorithm

    		 + None +
    outlier_args + Union[None, Sequence[str]] +

    Arguments for outlier detection algorithm

    		 + None +
    +

    Notes

    +
    Using a project directory allows to restart stages of the entire
+process.
+
    + +
    + +
    + +
    + + + +

    +process_reference_run() + +

    + + +
    + +

    Process the reference run

    + +
    + +
    + +
    + + + +

    +subsample_to_reference_run() + +

    + + +
    + +

    Subsamples all runs

    + +
    + +
    + +
    + + + +

    +dimension_reduction_svd() + +

    + + +
    + +

    Calculate V_ROB and Betas

    + +
    + +
    + +
    + + + +

    +clustering_results() + +

    + + +
    + +

    clustering results

    + +
    + +
    + +
    + + + +

    +visualize_results() + +

    + + +
    + +

    creates an output .html file

    + +
    + +
    + + + +
    + +
    + +
    + + + + + + +
    +
    + + +
    + +
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    + + + + + + + + + + \ No newline at end of file diff --git a/dimred/KeywordTypes/index.html b/dimred/KeywordTypes/index.html new file mode 100644 index 0000000..9bcce76 --- /dev/null +++ b/dimred/KeywordTypes/index.html @@ -0,0 +1,1320 @@ + + + + + + + + + + + + + + + + + + KeywordTypes - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
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    Keyword Types

    +

    Keywords for using the clustering_betas{.interpreted-text role="doc"} +functions.

    + + +
    + + + +
    + + + +
    + + + + + + + + +
    + + + +

    + ClusterType + + +

    + + +
    + + +

    Specifies names of specific clustering algorithms

    + +

    Attributes:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescription
    OPTICS + str +

    OPTICS

    DBSCAN + str +

    DBSCAN

    KMeans + str +

    KMeans

    SpectralClustering + str +

    SpectralClustering

    + + + + + +
    + + + + + + + + + +
    + + + +

    +get_cluster_type_name() + + + staticmethod + + +

    + + +
    + +

    Get the name of the clustering algorithms

    + +
    + +
    + + + +
    + +
    + +
    + +
    + + + +

    + DetectorType + + +

    + + +
    + + +

    Specifies names of different outlier detector algorythms

    + +

    Attributes:

    + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescription
    IsolationForest + str +

    IsolationForest

    OneClassSVM + str +

    OneClassSVM

    LocalOutlierFactor + str +

    LocalOutlierFactor

    + + + + + +
    + + + + + + + + + +
    + + + +

    +get_detector_type_name() + + + staticmethod + + +

    + + +
    + +

    Get the name of the detector algorithms

    + +
    + +
    + + + +
    + +
    + +
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    + + + + + + + + + + \ No newline at end of file diff --git a/dimred/clustering_betas/index.html b/dimred/clustering_betas/index.html new file mode 100644 index 0000000..75b4e72 --- /dev/null +++ b/dimred/clustering_betas/index.html @@ -0,0 +1,1402 @@ + + + + + + + + + + + + + + + + + + clustering_betas - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
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    Clustering Betas

    +

    Methods that apply different clustering and outlier detection algorithms. +Offers additional functions to convert console command arguments into variables +to use in the function.

    +
    +

    Warning

    +

    This function is optimized to be used by the console commandline tool

    +
    + + +
    + + + +
    + + + +
    + + + + + + + + + +
    + + + +

    +group_betas(beta_index, betas, scale_betas=False, cluster=None, detector=None, cluster_params=None, detector_params=None) + +

    + + +
    + +

    Base function to to group betas into groups, detect outliers. Provides that all different +clustering and outlier detection algorythms are implemented in an easy to access environment. +To select different clustering and outlier detection algoyrthms, please use appropriate +KeywordTypes. A description of each function can be accessed with document_algorythm(keyword) +A list of all functions can be accessed with list_detectors_and_clusters()

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    beta_index +

    Array containing the file names specific to the betas with the same index in the beta array

    		 + required +
    betas +

    Numpy array containing the betas. +Betas are expected to be of shape (samples, timestep, 3) +The three entries per beta can either be dimesnions (x,y,z) or any three betas/eigenvalues

    		 + required +
    cluster +

    String specifying which clustering algorythm shall be applied. +Use ClusterTypefor easier access

    		 + None +
    detector +

    String specifying which outlier detection algorythm shall be applied. +Use DetectorType for easier access

    		 + None +
    cluster_params +

    Dictionary containing parameters for the clustering algorythms. +See the sklearn documentation for the function to learn more.

    		 + None +
    detector_params +

    Dictionary containing parameters for the outlier detection algorythms. +See the sklearn documentation for the function to learn more

    		 + None +
    + +

    Returns:

    + + + + + + + + + + + + + + + + + + + + + +
    Name TypeDescription
    beta_clusters + list +

    List containing Numpy Arrays of betas in one cluster. +If a detector was selected, or the clustering algorythm has its +own outlier detection, the first entry in the list will be oultier betas

    id_clusters + list +

    List containing lists of beta ids. Each id corresponds to the beta in +the same place in the beta_clusters list

    err_msg + str +

    Error message if wrong keywords for detector or cluster algorithms were used

    +

    Notes

    +

    document_algorithm: + Prints docstring of each function into console +list_detectors_and_clusters: + Prints out all detection and clustering algorythms into console +Sklearn Userguide chapter 2.3 Clustering: + https://scikit-learn.org/stable/modules/clustering.html + Detailed overview of different clustering algorythms +Sklearn Examples outlier detection: + https://scikit-learn.org/stable/auto_examples/plot_anomaly_comparison.html + Example of different used outlier detection algorythms

    + +
    + +
    + +
    + + + +

    +create_cluster_arg_dict(args) + +

    + + +
    + +

    Determines which cluster to use and creates a python dictionary to use as cluster_params

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    args + Sequence[str] +

    List of strings containing parameters and arguments

    		 + required +
    + +

    Returns:

    + + + + + + + + + + + + + + + + + + + + + +
    Name TypeDescription
    cluster_type + str +

    determines which cluster algorithm to use

    cluster_arg_dict + dict +

    dictionary containing arguments and values for specific cluster_type

    err_msg + str +

    message containing error, mostly unrecognised keywords

    + +
    + +
    + +
    + + + +

    +create_detector_arg_dict(args) + +

    + + +
    + +

    Determines which detector to use and creates a python dictionary to use as detector_params

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    args + Sequence[str] +

    List of strings containing parameters and arguments

    		 + required +
    + +

    Returns:

    + + + + + + + + + + + + + + + + + + + + + +
    Name TypeDescription
    detector_type + str +

    determines which cluster algorithm to use

    detector_arg_dict + dict +

    dictionary containing arguments and values for specific cluster_type

    err_mgs + str +

    message containing error, mostly unrecognised keywords

    + +
    + +
    + + + +
    + +
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    +
    + + +
    + +
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    + + + + + + + + + + \ No newline at end of file diff --git a/dimred/command_line_interface/index.html b/dimred/command_line_interface/index.html new file mode 100644 index 0000000..98c7d5f --- /dev/null +++ b/dimred/command_line_interface/index.html @@ -0,0 +1,1580 @@ + + + + + + + + + + + + + + + + + + Command Line Tool - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
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    Command-Line Tool

    +

    What does this command-line tool do?

    +

    This command-line tool creates compact overviews over tens, hundreds +or even thousands of simulation runs. This is done by performing an +unsupervised learning method on the displacement field of the +simulations. +The result is a report in the form of a 3D plot. Every point in the +plot is a simulation result. If two points are very close their +simulation results are also expected to be very similar. One can +confirm by using images from every simulation (there is an option to +specify the path to a folder with those images).

    +

    Example Visualization Report

    +

    This is a plot for dimensionality reduction of a rail getting crushed. +This plot has many detail levels.

    +

    Check out the following facts:

    +
      +
    • There are two groups.
        +
      • The small group stands for samples buckling bottom .
        • +
      • The big group represents buckling in the top area.
        • +
      +
      • +
    • There are two outliers
        +
      • Sample 143 is folding in the top and bottom.
        • +
      • Sample 99 is folding in the middle.
        • +
      +
      • +
    • Similarity Axis
        +
      • The similarity axis X describes buckling top or bottom
        • +
      • The similarity axis Y describes how much a sample gets compressed
        • +
      • The samples are basically in a plane. + The out of plane axis represents buckling not strictly top but also + slightly in the lower end (zoom in).
        • +
      +
      • +
    + + + + + +
    +
    +
    +
    + +
    +
    +
    + + + +

    Quick Start

    +

    You can call the command-line tool as follows:

    +
    $ python -m lasso.dimred.run --help
+
+usage: run.py [-h] --reference-run REFERENCE_RUN
+              [--exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]]]
+              [--start-stage [START_STAGE]] [--end-stage [END_STAGE]]
+              --project-dir PROJECT_DIR [--embedding-images EMBEDDING_IMAGES]
+              [--logfile-filepath [LOGFILE_FILEPATH]]
+              [--n-processes [N_PROCESSES]]
+              [--part-ids [PART_IDS [PART_IDS ...]]]
+              [--timestep TIMESTEP]
+              [--cluster-args [CLUSTER_ARGS [CLUSTER_ARGS ...]]]
+              [--outlier-args [OUTLIER_ARGS [OUTLIER_ARGS ...]]]
+              [simulation_runs [simulation_runs ...]]
+Python utility script for dimensionality reduction.
+positional arguments:
+  simulation_runs       Simulation runs or patterns used to search for
+                        simulation runs.
+optional arguments:
+  -h, --help            show this help message and exit
+  --reference-run REFERENCE_RUN
+                        Set the reference run instead of using the first entry in simulation runs.
+  --exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]]
+                        Runs to exclude from the analysis.
+  --start-stage [START_STAGE]
+                        At which specific stage to start the analysis
+                        (REFERENCE_RUN, IMPORT_RUNS, REDUCTION, CLUSTERING,
+                        EXPORT_PLOT).
+  --end-stage [END_STAGE]
+                        At which specific stage to stop the analysis
+                        (REFERENCE_RUN, IMPORT_RUNS, REDUCTION, CLUSTERING,
+                        EXPORT_PLOT).
+  --project-dir PROJECT_DIR
+                        Project dir for temporary files. Must be specified to
+                        allow restart at specific steps
+  --embedding-images EMBEDDING_IMAGES
+                        Path to folder containing images of runs. Sample names
+                        must be numbers
+  --logfile-filepath [LOGFILE_FILEPATH]
+                        Path for the logfile. A file will be created
+                        automatically if a project dir is specified.
+  --n-processes [N_PROCESSES]
+                        Number of processes to use (default: n_cpu-1).
+  --part-ids [PART_IDS [PART_IDS ...]]
+                        Part ids to process. By default all are taken.
+  --timestep TIMESTEP Sets timestep to analyse. Uses last timestep if not set.
+  --cluster-args [CLUSTER_ARGS [CLUSTER_ARGS ...]]
+                        Arguments for clustering algorithms. If not set,
+                        clustering will be skipped.
+  --outlier-args [OUTLIER_ARGS [OUTLIER_ARGS ...]]
+                        Arguments for outlier detection befor clustering.
+
    +

    Following arguments are required for the analysis:

    +
      +
    • simulation-runs
      • +
    • --project-dir]
      • +
    +

    simulation-runs can be either tagged individually or by using placeholders +for entire directories (e.g. '*.fz') and subdirectories (e.g. './**/*.fz').

    +
    +

    Warning

    +

    Every run clears respective steps of the generated .hdf5 file of previous +runs, as well as the logfile.

    +
    +

    Tutorial

    +

    In this tutorial, we will introduce the application of the command-line utility +and explain some of the arguments. +Make sure to have some similar D3plots (20 should already be fine).

    +

    At first we will only apply the required arguments:

    +
    $ python -m lasso/dimred/run \
+$     user/tutorial/plots/plot*.fz \
+$     --project-dir user/tutorial/projectfolder
+
    +

    The first required argument is the filepath to the folder containing +the simulation runs. In our case, all plots are contained in the same +folder. If each plot is saved in its own folder, the command would +look like this:

    +
    $ python -m lasso/dimred/run \
+$     user/tutorial/plots*/plot.fz \
+$     --project-dir user/tutorial/projectfolder
+
    +

    The --project-dir argument specifies the folder where the project +data is saved. +This will be a project_buffer.hdf5 file, a logfile, and the +3d_beta_plot[hh:mm:ss].html output. +Note that for each run, corresponding entries in the project_buffer.hdf5 and +the logfile will be overwritten. +How to access the results in the project_buffer.hdf5 file will be discussed +later.

    +

    Your output should look similar to this:

    +
    ==== OPEN - LASSO ====
+
+┏━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
+┃ n-processes      ┃ 5                                                        ┃
+│ reference-run    │ user/tuorial/plots/plot0.fz                              │
+│ project-dir      │ user/tutorial/projectfolder                              │
+│ # simul.-files   │ 35                                                       │
+│ # excluded files │ 0                                                        │
+└──────────────────┴──────────────────────────────────────────────────────────┘
+
+   ---- Running Routines ----   
+[14:25:56] Reference Subsample
+ ...
+[14:26:04] Loadtime Reference subample: 8.020
+[14:26:04] Total time for Reference subample: 8.080
+[14:26:04] Reference subsample completed
+[14:26:04] Subsampling
+Subsampling plots  ... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 35 of 35;
+[14:29:03] Average Time per Subsampling Process: 24.76
+[14:29:03] Average Loadtime per sample: 24.55
+[14:29:03] Subsampling completed
+[14:29:03] Dimension Reduction
+ ...
+[14:29:04] Dimension Reduction completed
+[14:29:04] No arguments provided for clustering, clustering aborted
+[14:29:04] Creating .html viz
+[14:29:05] Finished creating viz
+
    +

    The output provides information about the different stages of the +dimred tool, as well as some additional information. This allows you +to keep track of the tools progress. The following 5 stages are run +through:

    +
      +
    • REFERENCE_RUN: + The reference run is subsampled and saved. + The reference run is either the first entry of the simulation runs, or can be + manually set with --reference-run
      • +
    • IMPORT_RUNS: + The provided simulation runs are loaded, and subsampled using the reference + run. + This process applies a nearest neighbor algorithm to match nodes between + different meshes to compensate for different meshing.
      • +
    • REDUCTION: + The dimensionality reduction is performed.
      • +
    • CLUSTERING: + If clustering and outlier arguments are provided, the results will be further + categorized.
      • +
    • EXPORT_PLOT: + The results are exported and saved as .html file.
      • +
    +
    +

    Note

    +

    Your computer may slow down while using the tool. If you want to use +other programs while waiting on the tool to finish, reduce the amount +of cores with --n-processes

    +
    +

    Start and End stage

    +

    Next, we will take a look at the --start-stage and --end-stage arguments. +These allow to restart and end the command-line utility at certain points in the +process. +This is usefull if you don't want to repeat certain stages to save time, or want +to end the process prematurly, e.g. don't want to generate the .html output.

    +

    To set the desired start and end stage, use the the following keywords:

    +
      +
    • REFERENCE_RUN
      • +
    • IMPORT_RUNS
      • +
    • REDUCTION
      • +
    • CLUSTERING
      • +
    • EXPORT_PLOT
      • +
    +

    Example:

    +
    $ python -m lasso/dimred/run \
+$     user/tutorial/plots \
+$     --project-dir user/tutorial/projectfolder \
+$     --start-stage REDUCTION \
+$     --end-stage CLUSTERING
+
+==== OPEN - LASSO ====
+
+┏━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
+┃ n-processes      ┃ 5                                                        ┃
+│ reference-run    │ user/tutorial/plots/plot0.fz                             │
+│ project-dir      │ user/tutorial/projectfolder                              │
+│ # simul.-files   │ 35                                                       │
+│ # excluded files │ 0                                                        │
+└──────────────────┴──────────────────────────────────────────────────────────┘
+
+   ---- Running Routines ----   
+[14:45:28] Skipped import stage
+[14:45:28] Dimension Reduction
+ ...
+[14:45:29] Dimension Reduction completed
+[14:45:29] No arguments provided for clustering, clustering aborted
+
    +

    This process is much quicker, as the samples have already been loaded and +subsampled. +Note that this only works, if the stages before the selected start stage (here: +REFERENCE_RUN and IMPORT_RUNS have already been processed before.

    +

    Clustering and outlier detection

    +

    The dimred tool has an integrated functionality to cluster your results and +detect outliers. +Following cluster algorithms from the scikit sklearn library have been +implemented:

    +
      +
    • kmeans
      • +
    • SpectralClustering
      • +
    • DBScan
      • +
    • Optics
      • +
    +

    Additionally, you have access to the following outlier detection algorithms from +the same library:

    +
      +
    • IsolationForest
      • +
    • LocalOutlierFactor
      • +
    • OneClassSVM
      • +
    +

    These classes have additional optional arguments, specified in their respective +documentation. +Here is an example on how to find two clusters with kmeans and detect oultiers +with LocalOutlierFactor:

    +
    $ python -m lasso/dimred/run \
+$    user/tutorial/plots \
+$    --project-dir user/tutorial/projectfolder \
+$    --reference-run user/tuorial/referenceplot \
+$    --start-stage REDUCTION \
+$    --cluster-arg kmeans n_clusters int 2 \
+$    --outlier-args LocalOutlierFactor
+
    +

    !!! note> + The argument n_clusters is followed by its type and then its value! + The type of a keyword can be referenced by the appropriate sklearn + documentation. + Some types are not supported, make sure that they are either float, int + or str.

    +

    We skip the import stage again and add the --cluster-args and --outlier-args +arguments, followed by the desired algorithm and optional additional arguments +and their values.

    +

    Accessing the results

    +

    All results, as well as the subsamples and reference subsample are +saved in the project_buffer.hdf5 file. You can access these in your +own python scripts:

    +
    import numpy as np
+import h5py
+
+h5py_path = "user/tutorial/project_buffer.hdf5"
+h5file = h5py.File(h5py_path)
+
+# access the reference subsamples:
+ref_sample = h5file["subsample"][:]
+
+# create a numpy array containing displacement of all subsamples
+# this returns an array of shape (samples, timesteps, nodes, dims)
+np.stack(h5file["subsampled_runs"][entry][:]
+         for entry in h5file["subsampled_runs"].keys()])
+
+# create a numpy array containg the right reduced order basis for projection:
+v_rob = h5file["v_rob"][:]
+
+# the subsampled runs are projected into the right reduced order basis and called betas:
+betas = np.stack([h5file["betas"][entry][:] for entry in h5file["betas"].keys()])
+
    +

    These betas are used for the visulatization and if specified, clustering or +outlier detection. +In the visulatization, only the first 3 coefficients (betas) and only the last +timestamp are accounted for.

    +

    If you have provided clustering and outlier detection arguments, you +can also access the different clusters:

    +
    cluster_index = np.stack([
+    h5file["betas"][entry].attrs["cluster"] for entry in h5file["betas"].keys()
+])
+
+beta_clusters = []
+
+for cluster in range(h5file["betas"].attrs["nr_clusters"]):
+    beta_clusters.append(betas[np.where(cluster_index == cluster)[0]])
+
    +

    The beta_clusters list contains lists of betas for each cluster. +If outlier arguments have been provided, the first list contains all detected +outliers.

    +

    FAQ

    +

    How to specify a path to the displayed images?

    +

    In the final HTML there is a menu on the left side. +In it you can specify a path to the image folder, as well as the file-ending. +Be aware: The names of the images must be a number starting at 0.

    + + + + + + +
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    + + + + + + + + + + \ No newline at end of file diff --git a/dimred/index.html b/dimred/index.html new file mode 100644 index 0000000..e6465f9 --- /dev/null +++ b/dimred/index.html @@ -0,0 +1,969 @@ + + + + + + + + + + + + + + + + + + Overview - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    lasso.dimred

    +

    The dimred module consists of a command line utility as well as several +classes to reduce the dimensionality of D3plots and visualize the +results.

    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/dimred/plot_beta_clusters/index.html b/dimred/plot_beta_clusters/index.html new file mode 100644 index 0000000..dabd78e --- /dev/null +++ b/dimred/plot_beta_clusters/index.html @@ -0,0 +1,1201 @@ + + + + + + + + + + + + + + + + + + plot_beta_clusters - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    Plot beta clusters

    +

    Functions converting input list of clusters and corresponding ids into a +.html page visualizing the results as a 3D Plot

    + + +
    + + + +
    + + + +
    + + + + + + + + + +
    + + + +

    +plot_clusters_js(beta_cluster, id_cluster, save_path, img_path=None, mark_outliers=False, mark_timestamp=True, filename='3d_beta_plot', write=True, show_res=True) + +

    + + +
    + +

    Creates a .html visualization of input data

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    beta_cluster + Sequence +

    Numpy array containing beta clusters

    		 + required +
    id_cluster + Union[np.ndarray, Sequence] +

    Numpy array or sequence containing the ids samples in clusters. +Must be of same structure as beta_clusters

    		 + required +
    save_path + str +

    Where to save the .html visualization

    		 + required +
    img_path + Union[None, str] +

    Path to images of samples

    		 + None +
    mark_outliers + bool +

    Set to True if first entry in beta_cluster are outliers

    		 + False +
    mark_timestamp + bool +

    Set to True if name of visualization shall contain time of creation. +If set to False, visualization will override previous file

    		 + True +
    filename + str +

    Name of .hmtl file

    		 + '3d_beta_plot' +
    write + bool +

    Set to False to not write .html file and return as string instead

    		 + True +
    show_res + bool +

    Set to False to not open resulting page in webbrowser

    		 + True +
    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    html_str_formatted + str +

    If write=False returns .hmtl file as string, else None

    + +
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    POD Functions

    +

    These functions are used for the proper orthogonal decomposition of +samples

    + + +
    + + + +
    + + + +
    + + + + + + + + + +
    + + + +

    +calculate_v_and_betas(stacked_sub_displ, progress_bar=None, task_id=None) + +

    + + +
    + +

    Calculates the right reduced order Basis V and up to 10 eigenvalues of the subsamples

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    stacked_sub_displ + np.ndarray +

    np.ndarray containing all subsampled displacements +shape must be (samples, timesteps, nodes, dims)

    		 + required +
    + +

    Returns:

    + + + + + + + + + + + + + + + + + + + + + +
    Name TypeDescription
    v_big + np.ndarray +

    Reduced order basis to transform betas bag into subsamples

    betas + np.ndarray +

    Projected simulation runs

    err_msg + str +

    Error message if not enough samples where provided

    + +
    + +
    + +
    + + + +

    +svd_step_and_dim(s_mat, k=10) + +

    + + +
    + +

    Performs a svds operation on the two dimensional s_mat

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    s_mat + np.ndarray +

    2D array on which the svds operation shall be performed

    		 + required +
    k +

    The size of the POD

    		 + 10 +
    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    v + ndarray +

    Array containing the right reduced order basis

    + +
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    Subsampling Methods

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    Methods used to perform subsampling of simulation runs.

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    +create_reference_subsample(load_path, parts, nr_samples=2000) + +

    + + +
    + +

    Loads the D3plot at load_path, extracts the node coordinates of part 13, returns +a random subsample of these nodes

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    load_path + str +

    Filepath of the D3plot

    		 + required +
    parts + Sequence[int] +

    List of parts to be extracted

    		 + required +
    nr_samples +

    How many nodes are subsampled

    		 + 2000 +
    + +

    Returns:

    + + + + + + + + + + + + + + + + + + + + + + + + + +
    Name TypeDescription
    reference_sample + np.array +

    Numpy array containing the reference sample

    t_total + float +

    Total time required for subsampling

    t_load + float +

    Time required to load plot

    err_msg + str +

    If an error occurs, a string containing the error is returned instead

    + +
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    + + + +

    +remap_random_subsample(load_path, parts, reference_subsample) + +

    + + +
    + +

    Remaps the specified sample onto a new mesh provided by reference subsampl, using knn matching

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    load_path + str +

    Filepath of the desired D3plot

    		 + required +
    parts + list +

    Which parts shall be extracted from the D3plot

    		 + required +
    reference_subsample + np.ndarray +

    Numpy array containing the reference nodes

    		 + required +
    + +

    Returns:

    + + + + + + + + + + + + + + + + + + + + + + + + + +
    Name TypeDescription
    subsampled_displacement + np.ndarray +

    Subsampled displacement of provided sample

    t_total + float +

    Total time required to perform subsampling

    t_load + float +

    Time required to load D3plot

    err_msg + str +

    If an error occured, a string is returned instead containing the error

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    + + + + + + + + + + \ No newline at end of file diff --git a/dimred/svd/index.html b/dimred/svd/index.html new file mode 100644 index 0000000..e85d578 --- /dev/null +++ b/dimred/svd/index.html @@ -0,0 +1,978 @@ + + + + + + + + + + + + + + + + + + Description - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    Module lasso.dimred.svd

    +

    Module containing the methods and functions used by DimredRun

    +
      +
    • subsampling_methods
      • +
    • pod_functions
      • +
    • clustering_betas
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    • plot_beta_clusters
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    • KeywordTypes
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    + + + + + + + + + + \ No newline at end of file diff --git a/dyna/ArrayType/index.html b/dyna/ArrayType/index.html new file mode 100644 index 0000000..4a67e1d --- /dev/null +++ b/dyna/ArrayType/index.html @@ -0,0 +1,2190 @@ + + + + + + + + + + + + + + + + + + ArrayType - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    ArrayType

    + + +
    + + + +
    + + +

    Specifies the names for specific arrays

    +

    Enums from this class shall be used as a preferred practice +instead of the string array names to ensure compatibility.

    + +

    Attributes:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescription
    global_timesteps + str +

    array shape: (n_timesteps)

    global_kinetic_energy + str +

    array shape: (n_timesteps)

    global_internal_energy + str +

    array shape: (n_timesteps)

    global_total_energy + str +

    array shape: (n_timesteps)

    global_velocity + str +

    array shape: (n_timesteps)

    node_ids + str +

    array shape: (n_nodes)

    node_coordinates + str +

    array shape: (n_nodes, x_y_z)

    node_displacement + str +

    array shape: (n_states, n_nodes, x_y_z)

    node_velocity + str +

    array shape: (n_states, n_nodes, x_y_z)

    node_acceleration + str +

    array shape: (n_states, n_nodes, x_y_z)

    node_is_alive + str +

    array shape: (n_states, n_nodes)

    node_temperature + str +

    array shape: (n_states, n_nodes) or (n_states, n_nodes, 3)

    node_heat_flux + str +

    array shape: (n_states, n_nodes, 3)

    node_mass_scaling + str +

    array shape: (n_states, n_nodes)

    node_temperature_gradient + str +

    array shape: (n_states, n_nodes)

    node_residual_forces + str +

    array shape: (n_states, n_nodes, fx_fy_fz)

    node_residual_moments + str +

    array shape: (n_states, n_nodes, mx_my_mz)

    element_solid_node_indexes + str +

    array shape: (n_solids, 8)

    element_solid_part_indexes + str +

    array shape: (n_solids)

    element_solid_ids + str +

    array shape: (n_solids)

    element_solid_thermal_data + str +

    array shape: (n_states, n_solids, n_solids_thermal_vars)

    element_solid_stress + str +

    array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz)

    element_solid_effective_plastic_strain + str +

    array shape: (n_states, n_solid_layers, n_solids)

    element_solid_history_variables + str +

    array shape: (n_states, n_solids, n_solid_layers, n_solids_history_vars)

    element_solid_strain + str +

    array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz)

    element_solid_plastic_strain_tensor + str +

    array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz)

    element_solid_thermal_strain_tensor + str +

    array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz)

    element_solid_is_alive + str +

    array shape: (n_states, n_solids)

    element_solid_extra_nodes + str +

    array shape: (n_solids, 2)

    element_solid_node10_extra_node_indexes + str +

    array shape: (n_solids, 2)

    element_solid_node20_element_index + str +

    array shape: (n_node20_solids)

    element_solid_node20_extra_node_indexes + str +

    array shape: (n_node20_solids, 12)

    element_solid_node27_element_index + str +

    array shape: (n_node27_solids)

    element_solid_node27_extra_node_indexes + str +

    array shape: (n_node27_solids, 27)

    element_solid_node21_penta_element_index + str +

    array shape: (n_node21p_solids)

    element_solid_node21_penta_extra_node_indexes + str +

    array shape: (n_node21p_solids, 21)

    element_solid_node15_tetras_element_index + str +

    array shape: (n_node15t_solids)

    element_solid_node15_tetras_extra_node_indexes + str +

    array shape: (n_node15t_solids, 7)

    element_solid_node20_tetras_element_index + str +

    array shape: (n_node20t_solids)

    element_solid_node20_tetras_extra_node_indexes + str +

    array shape: (n_node20t_solids, 20)

    element_solid_node40_pentas_element_index + str +

    array shape: (n_node40h_solids)

    element_solid_node40_pentas_extra_node_indexes + str +

    array shape: (n_node40h_solids, 40)

    element_solid_node64_hexas_element_index + str +

    array shape: (n_node64h_solids)

    element_solid_node64_hexas_extra_node_indexes + str +

    array shape: (n_node64h_solids, 64)

    element_tshell_part_indexes + str +

    array shape: (n_tshells)

    element_tshell_node_indexes + str +

    array shape: (n_tshells, 8)

    element_tshell_ids + str +

    array shape: (n_tshells)

    element_tshell_stress + str +

    array shape: (n_states, n_tshells, n_tshells_layers, xx_yy_zz_xy_yz_xz)

    element_tshell_effective_plastic_strain + str +

    array shape: (n_states, n_tshells, n_tshells_layers)

    element_tshell_history_variables + str +

    array shape: (n_states, n_tshells, n_tshells_layers, xx_yy_zz_xy_yz_xz)

    element_tshell_is_alive + str +

    array shape: (n_states, n_tshells)

    element_tshell_strain + str +

    array shape: (n_states, n_tshells, upper_lower, xx_yy_zz_xy_yz_xz)

    element_beam_part_indexes + str +

    array shape: (n_beams)

    element_beam_node_indexes + str +

    array shape: (n_beams, 5)

    element_beam_ids + str +

    array shape: (n_beams)

    element_beam_axial_force + str +

    array shape: (n_states, n_beams)

    element_beam_shear_force + str +

    array shape: (n_states, n_beams, s_t)

    element_beam_bending_moment + str +

    array shape: (n_states, n_beams, s_t)

    element_beam_torsion_moment + str +

    array shape: (n_states, n_beams)

    element_beam_shear_stress + str +

    array shape: (n_states, n_beams, n_beams_layers, rs_rt)

    element_beam_axial_stress + str +

    array shape: (n_states, n_beams, n_beams_layers)

    element_beam_plastic_strain + str +

    array shape: (n_states, n_beams, n_beams_layers)

    element_beam_axial_strain + str +

    array shape: (n_states, n_beams, n_beams_layers)

    element_beam_history_vars + str +

    array shape: (n_states, n_beams, n_beams_layers+3, n_beams_history_vars)

    element_beam_is_alive + str +

    array shape: (n_states, n_beams)

    element_shell_part_indexes + str +

    array shape (n_shells, 4)

    element_shell_node_indexes + str +

    array shape (n_shells)

    element_shell_ids + str +

    array shape (n_shells)

    element_shell_stress + str +

    array shape (n_states, n_shells_non_rigid, n_shell_layers, xx_yy_zz_xy_yz_xz)

    element_shell_effective_plastic_strain + str +

    array shape (n_states, n_shells_non_rigid, n_shell_layers)

    element_shell_history_vars + str +

    array shape (n_states, n_shells_non_rigid, n_shell_layers, n_shell_history_vars)

    element_shell_bending_moment + str +

    array shape (n_states, n_shells_non_rigid, mx_my_mxy)

    element_shell_shear_force + str +

    array shape (n_states, n_shells_non_rigid, qx_qy)

    element_shell_normal_force + str +

    array shape (n_states, n_shells_non_rigid, nx_ny_nxy)

    element_shell_thickness + str +

    array shape (n_states, n_shells_non_rigid)

    element_shell_unknown_variables + str +

    array shape (n_states, n_shells_non_rigid, 2)

    element_shell_internal_energy + str +

    array shape (n_states, n_shells_non_rigid)

    element_shell_strain + str +

    array shape (n_states, n_shells_non_rigid, upper_lower, xx_yy_zz_xy_yz_xz)

    element_shell_is_alive + str +

    array shape (n_states, n_shells_non_rigid)

    element_shell_node8_extra_node_indexes + str +

    array shape (n_shells, 4)

    element_shell_node8_element_index + str +

    array shape: (n_shells)

    element_shell_plastic_strain_tensor + str +

    array shape(n_states, n_shells_non_rigid, n_layers, 6)

    element_shell_thermal_strain_tensor + str +

    array shape(n_states, n_shells_non_rigid, 6)

    part_material_type + str +

    array shape: (n_parts)

    part_ids + str +

    array shape: (n_parts)

    part_ids_unordered + str +

    array shape: (n_parts)

    part_ids_cross_references + str +

    array shape: (n_parts)

    part_titles + str +

    array shape: (n_parts)

    part_titles_ids + str +

    array shape: (n_parts)

    part_internal_energy + str +

    array shape: (n_states, n_parts)

    part_kinetic_energy + str +

    array shape: (n_states, n_parts)

    part_velocity + str +

    array shape: (n_states, n_parts, x_y_z)

    part_mass + str +

    array shape: (n_states, n_parts)

    part_hourglass_energy + str +

    array shape: (n_states, n_parts)

    sph_node_indexes + str +

    array shape: (n_sph_nodes)

    sph_node_material_index + str +

    array shape: (n_sph_nodes)

    sph_is_alive + str +

    array shape: (n_states, n_sph_particles)

    sph_radius + str +

    array shape: (n_states, n_sph_particles)

    sph_pressure + str +

    array shape: (n_states, n_sph_particles)

    sph_stress + str +

    array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz)

    sph_effective_plastic_strain + str +

    array shape: (n_states, n_sph_particles)

    sph_density + str +

    array shape: (n_states, n_sph_particles)

    sph_internal_energy + str +

    array shape: (n_states, n_sph_particles)

    sph_n_neighbors + str +

    array shape: (n_states, n_sph_particles)

    sph_strain + str +

    array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz)

    sph_strainrate + str +

    array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz)

    sph_mass + str +

    array shape: (n_states, n_sph_particles)

    sph_deletion + str +

    array shape: (n_states, n_sph_particles)

    sph_history_vars + str +

    array shape: (n_states, n_sph_particles, n_sph_history_vars)

    airbag_variable_names + str +

    array shape: (n_variables)

    airbag_variable_types + str +

    array shape: (n_variables)

    airbags_first_particle_id + str +

    array shape: (n_airbags)

    airbags_n_particles + str +

    array shape: (n_airbags)

    airbags_ids + str +

    array shape: (n_airbags)

    airbags_n_gas_mixtures + str +

    array shape: (n_airbags)

    airbags_n_chambers + str +

    array shape: (n_airbags)

    airbag_n_active_particles + str +

    array shape: (n_states, n_airbags)

    airbag_bag_volume + str +

    array shape: (n_states, n_airbags)

    airbag_particle_gas_id + str +

    array shape: (n_states, n_airbag_particles)

    airbag_particle_chamber_id + str +

    array shape: (n_states, n_airbag_particles)

    airbag_particle_leakage + str +

    array shape: (n_states, n_airbag_particles)

    airbag_particle_mass + str +

    array shape: (n_states, n_airbag_particles)

    airbag_particle_radius + str +

    array shape: (n_states, n_airbag_particles)

    airbag_particle_spin_energy + str +

    array shape: (n_states, n_airbag_particles)

    airbag_particle_translation_energy + str +

    array shape: (n_states, n_airbag_particles)

    airbag_particle_nearest_segment_distance + str +

    array shape: (n_states, n_airbag_particles)

    airbag_particle_position + str +

    array shape: (n_states, n_airbag_particles, x_y_z)

    airbag_particle_velocity + str +

    array shape: (n_states, n_airbag_particles, x_y_z)

    rigid_road_node_ids + str +

    array shape: (rigid_road_n_nodes)

    rigid_road_node_coordinates + str +

    array shape: (rigid_road_n_nodes, x_y_z)

    rigid_road_ids + str +

    array shape: (n_roads)

    rigid_road_n_segments + str +

    array shape: (n_roads)

    rigid_road_segment_node_ids + str +

    list!: (n_roads, 4*n_road_segments)

    rigid_road_segment_road_id + str +

    list!: (n_roads, n_road_segments)

    rigid_road_displacement + str +

    array shape: (n_states, n_roads, x_y_z)

    rigid_road_velocity + str +

    array shape: (n_states, n_roads, x_y_z)

    rigid_body_part_indexes + str +

    array shape: (n_rigid_bodies)

    rigid_body_n_nodes + str +

    array shape: (n_rigid_bodies)

    rigid_body_node_indexes_list + str +

    list!: (n_rigid_bodies, n_rigid_body_nodes (differs))

    rigid_body_n_active_nodes + str +

    array shape: (n_rigid_bodies)

    rigid_body_active_node_indexes_list + str +

    list!: (n_rigid_bodies, n_rigid_body_nodes (differs))

    rigid_body_coordinates + str +

    array shape: (n_states, n_rigid_bodies, x_y_z)

    rigid_body_rotation_matrix + str +

    array shape: (n_states, n_rigid_bodies, 9)

    rigid_body_velocity + str +

    array shape: (n_states, n_rigid_bodies, x_y_z)

    rigid_body_rot_velocity + str +

    array shape: (n_states, n_rigid_bodies, x_y_z)

    rigid_body_acceleration + str +

    array shape: (n_states, n_rigid_bodies, x_y_z)

    rigid_body_rot_acceleration + str +

    array shape: (n_states, n_rigid_bodies, x_y_z)

    contact_title_ids + str +

    array shape: (n_contacts)

    contact_titles + str +

    array shape: (n_contacts)

    ale_material_ids + str +

    array shape: (n_ale_material)

    rigid_wall_force + str +

    array shape: (n_states, n_rigid_walls)

    rigid_wall_position + str +

    array shape: (n_states, n_rigid_walls, x_y_z)

    + + + + + +
    + + + + + + + + + +
    + + + +

    +get_state_array_names() + + + staticmethod + + +

    + + +
    + +

    Get the names of all state arrays

    +

    Returns:

    +

    state_array_names: List[str] + list of state array names

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    +
    + + + + + + + + + +

    Binout

    +

    There is a youtube tutorial available for this class:

    +
    + +
    + + + +
    + + + +
    + + +

    This class is meant to read binouts from LS-Dyna

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    filepath + str +

    Path to the binout to read. May contain * (glob) for selecting multiple +files.

    		 + required +
    + +

    Attributes:

    + + + + + + + + + + + + + + + +
    NameTypeDescription
    filelist + List[str] +

    List of files which are opened. +lsda: Lsda +The underlying LS-Dyna binout reader instance from code from LSTC. +lsda_root: Symbol +Root lsda symbol which is like a root directory to traverse the +content of the binout file.

    +

    Notes

    +
    This class is only a utility wrapper for Lsda from LSTC.
+
    + +

    Examples:

    + 
    >>> binout = Binout("path/to/binout")
+
    + + + + + +
    + + + + + + + + + +
    + + + +

    +__init__(filepath) + +

    + + +
    + +

    Constructor for a binout

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    filepath + str +

    path to the binout or pattern

    		 + required +
    +

    Notes

    +
    The class loads the file given in the filepath. By giving a
+search pattern such as: "binout*", all files with that
+pattern will be loaded.
+
    + +

    Examples:

    + 
    >>> # reads a single binout
+>>> binout = Binout("path/to/binout0000")
+>>> binout.filelist
+['path/to/binout0000']
+
+>>> # reads multiple files
+>>> binout = Binout("path/to/binout*")
+>>> binout.filelist
+['path/to/binout0000','path/to/binout0001']
+
    + +
    + +
    + +
    + + + +

    +as_df(*args) + +

    + + +
    + +

    read data and convert to pandas dataframe if possible

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    *args +

    internal path in the folder structure of the binout

    		 + () +
    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    df + pandas.DataFrame +

    data converted to pandas dataframe

    + +

    Raises:

    + + + + + + + + + + + + + +
    TypeDescription
    + ValueError +

    if the data cannot be converted to a pandas dataframe

    + +

    Examples:

    + 
    >>> from lasso.dyna import Binout
+>>> binout = Binout('path/to/binout')
+
+Read a time-dependent array.
+
+>>> binout.as_df('glstat', 'eroded_kinetic_energy')
+time
+0.00000        0.000000
+0.19971        0.000000
+0.39942        0.000000
+0.59976        0.000000
+0.79947        0.000000
+                ...
+119.19978    105.220786
+119.39949    105.220786
+119.59983    105.220786
+119.79954    105.220786
+119.99988    105.220786
+Name: eroded_kinetic_energy, Length: 601, dtype: float64
+
+Read a time and id-dependent array.
+
+>>> binout.as_df('secforc', 'x_force')
+                      1             2             3  ...            33            34
+time                                                 .
+0.00063    2.168547e-16  2.275245e-15 -3.118639e-14  ... -5.126108e-13  4.592941e-16
+0.20034    3.514243e-04  3.797908e-04 -1.701294e-03  ...  2.530416e-11  2.755493e-07
+0.40005    3.052490e-03  3.242951e-02 -2.699926e-02  ...  6.755315e-06 -2.608923e-03
+0.60039   -1.299816e-02  4.930999e-02 -1.632376e-02  ...  8.941705e-05 -2.203455e-02
+0.80010    1.178485e-02  4.904512e-02 -9.740204e-03  ...  5.648263e-05 -6.999854e-02
+...                 ...           ...           ...  ...           ...           ...
+119.00007  9.737679e-01 -8.833702e+00  1.298964e+01  ... -9.977377e-02  7.883521e+00
+119.20041  7.421170e-01 -8.849411e+00  1.253505e+01  ... -1.845916e-01  7.791409e+00
+119.40012  9.946615e-01 -8.541475e+00  1.188757e+01  ... -3.662228e-02  7.675800e+00
+119.60046  9.677638e-01 -8.566695e+00  1.130774e+01  ...  5.144208e-02  7.273052e+00
+119.80017  1.035165e+00 -8.040828e+00  1.124044e+01  ... -1.213450e-02  7.188395e+00
+
    + +
    + +
    + +
    + + + +

    +read(*path) + +

    + + +
    + +

    Read all data from Binout (top to low level)

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    path +

    internal path in the folder structure of the binout

    		 + () +
    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    ret + Union[List[str], str, np.ndarray] +

    list of subdata within the folder or data itself (array or string)

    +

    Notes

    +
    This function is used to read any data from the binout. It has been used
+to make the access to the data more comfortable. The return type depends
+on the given path:
+
+ - `binout.read()`: `List[str] names of directories (in binout)
+ - `binout.read(dir)`: `List[str]` names of variables or subdirs
+ - `binout.read(dir1, ..., variable)`: np.array data
+
+If you have multiple outputs with different ids (e.g. in nodout for
+multiple nodes) then don't forget to read the id array for
+identification or id-labels.
+
    + +

    Examples:

    + 
    >>> from lasso.dyna import Binout
+>>> binout = Binout("test/binout")
+>>> # get top dirs
+>>> binout.read()
+['swforc']
+>>> binout.read("swforc")
+['title', 'failure', 'ids', 'failure_time', ...]
+>>> binout.read("swforc","shear").shape
+(321L, 26L)
+>>> binout.read("swforc","ids").shape
+(26L,)
+>>> binout.read("swforc","ids")
+array([52890, 52891, 52892, ...])
+>>> # read a string value
+>>> binout.read("swforc","date")
+'11/05/2013'
+
    + +
    + +
    + +
    + + + +

    +save_hdf5(filepath, compression='gzip') + +

    + + +
    + +

    Save a binout as HDF5

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    filepath +

    path where the HDF5 shall be saved

    		 + required +
    compression +

    compression technique (see h5py docs)

    		 + 'gzip' +
    + +

    Examples:

    + 
    >>> binout = Binout("path/to/binout")
+>>> binout.save_hdf5("path/to/binout.h5")
+
    + +
    + +
    + + + +
    + +
    + +
    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/dyna/D3plot/index.html b/dyna/D3plot/index.html new file mode 100644 index 0000000..bdb5d4b --- /dev/null +++ b/dyna/D3plot/index.html @@ -0,0 +1,2059 @@ + + + + + + + + + + + + + + + + + + D3plot - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
    + + + + +
    + + +
    + +
    + + + + + + +
    +
    + + + +
    +
    +
    + + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    + + + + + + + + + +

    D3plot

    +

    There is a youtube tutorial available for this class:

    +
    + +
    + + + +
    + + + +
    + + +

    Class used to read LS-Dyna d3plots

    + + + + + +
    + + + + + + + +
    + + + +

    +arrays: dict + + + property + writable + + +

    + + +
    + +

    Dictionary holding all d3plot arrays

    +

    Notes

    +
    The corresponding keys of the dictionary can
+also be found in `lasso.dyna.ArrayTypes`, which
+helps with IDE integration and code safety.
+
    + +

    Examples:

    + 
    >>> d3plot = D3plot("some/path/to/d3plot")
+>>> d3plot.arrays.keys()
+dict_keys(['irbtyp', 'node_coordinates', ...])
+>>> # The following is good coding practice
+>>> import lasso.dyna.ArrayTypes.ArrayTypes as atypes
+>>> d3plot.arrays[atypes.node_displacmeent].shape
+
    +
    + +
    + +
    + + + +

    +header: D3plotHeader + + + property + + +

    + + +
    + +

    Instance holding all d3plot header information

    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    header + D3plotHeader +

    header of the d3plot

    +

    Notes

    +
    The header contains a lot of information such as number
+of elements, etc.
+
    + +

    Examples:

    + 
    >>> d3plot = D3plot("some/path/to/d3plot")
+>>> # number of shells
+>>> d3plot.header.n_shells
+85624
+
    +
    + +
    + +
    + + + +

    +n_timesteps: int + + + property + + +

    + + +
    + +

    Number of timesteps loaded

    +
    + +
    + + + +
    + + + +

    +__init__(filepath=None, use_femzip=None, n_files_to_load_at_once=None, state_array_filter=None, state_filter=None, buffered_reading=False) + +

    + + +
    + +

    Constructor for a D3plot

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    filepath + str +

    path to a d3plot file

    		 + None +
    use_femzip + Union[bool, None] +

    Not used anymore.

    		 + None +
    n_files_to_load_at_once + Union[int, None] +

    DEPRECATED not used anymore, use buffered_reading

    		 + None +
    state_array_filter + Union[List[str], None] +

    names of arrays which will be the only ones loaded from state data

    		 + None +
    state_filter + Union[None, Set[int]] +

    which states to load. Negative indexes count backwards.

    		 + None +
    buffered_reading + bool +

    whether to pull only a single state into memory during reading

    		 + False +
    + +

    Examples:

    + 
    >>> from lasso.dyna import D3plot, ArrayType
+>>> # open and read everything
+>>> d3plot = D3plot("path/to/d3plot")
+
+>>> # only read node displacement
+>>> d3plot = D3plot("path/to/d3plot", state_array_filter=["node_displacement"])
+>>> # or with nicer syntax
+>>> d3plot = D3plot("path/to/d3plot", state_array_filter=[ArrayType.node_displacement])
+
+>>> # only load first and last state
+>>> d3plot = D3plot("path/to/d3plot", state_filter={0, -1})
+
+>>> # our computer lacks RAM so lets extract a specific array
+>>> # but only keep one state at a time in memory
+>>> d3plot = D3plot("path/to/d3plot",
+>>>                 state_array_filter=[ArrayType.node_displacement],
+>>>                 buffered_reading=True)
+
    +

    Notes

    +
    If dyna wrote multiple files for several states,
+only give the path to the first file.
+
    + +
    + +
    + +
    + + + +

    +check_array_dims(array_dimensions, dimension_name, dimension_size=-1) + +

    + + +
    + +

    This function checks if multiple arrays share an array dimensions +with the same size.

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    array_dimensions + Dict[str, int] +

    Array name and expected number of dimensions as dict

    		 + required +
    dimension_name + str +

    Name of the array dimension for error messages

    		 + required +
    dimension_size + int +

    Optional expected size. If not set then all entries must equal +the first value collected.

    		 + -1 +
    + +

    Raises:

    + + + + + + + + + + + + + +
    TypeDescription
    + ValueError +

    If dimensions do not match in any kind of way.

    + +
    + +
    + +
    + + + +

    +compare(d3plot2, array_eps=None) + +

    + + +
    + +

    Compare two d3plots and print the info

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    d3plot2 +

    second d3plot

    		 + required +
    array_eps + Union[float, None] +

    tolerance for arrays

    		 + None +
    + +

    Returns:

    + + + + + + + + + + + + + + + + + +
    Name TypeDescription
    hdr_differences + dict +

    differences in the header

    array_differences + dict +

    difference between arrays as message

    + +

    Examples:

    + 
    Comparison of a femzipped file and an uncompressed file. Femzip
+is a lossy compression, thus precision is traded for memory.
+
+>>> d3plot1 = D3plot("path/to/d3plot")
+>>> d3plot2 = D3plot("path/to/d3plot.fz")
+>>> hdr_diff, array_diff = d3plot1.compare(d3plot2)
+>>> for arraytype, msg in array_diff.items():
+>>>     print(name, msg)
+node_coordinates Δmax = 0.050048828125
+node_displacement Δmax = 0.050048828125
+node_velocity Δmax = 0.050048828125
+node_acceleration Δmax = 49998984.0
+element_beam_axial_force Δmax = 6.103515625e-05
+element_shell_stress Δmax = 0.0005035400390625
+element_shell_thickness Δmax = 9.999999717180685e-10
+element_shell_unknown_variables Δmax = 0.0005000010132789612
+element_shell_internal_energy Δmax = 188.41957092285156
+
    + +
    + +
    + +
    + + + +

    +enable_logger(enable) + + + staticmethod + + +

    + + +
    + +

    Enable the logger for this class

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    enable + bool +

    whether to enable logging for this class

    		 + required +
    + +
    + +
    + +
    + + + +

    +get_part_filter(filter_type, part_ids, for_state_array=True) + +

    + + +
    + +

    Get a part filter for different entities

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    filter_type + FilterType +

    the array type to filter for (beam, shell, solid, tshell, node)

    		 + required +
    part_ids + Iterable[int] +

    part ids to filter out

    		 + required +
    for_state_array + bool +

    if the filter is meant for a state array. Makes a difference +for shells if rigid bodies are in the model (mattyp == 20)

    		 + True +
    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    mask + np.ndarray +

    mask usable on arrays to filter results

    + +

    Examples:

    + 
    >>> from lasso.dyna import D3plot, ArrayType, FilterType
+>>> d3plot = D3plot("path/to/d3plot")
+>>> part_ids = [13, 14]
+>>> mask = d3plot.get_part_filter(FilterType.shell)
+>>> shell_stress = d3plot.arrays[ArrayType.element_shell_stress]
+>>> shell_stress.shape
+(34, 7463, 3, 6)
+>>> # select only parts from part_ids
+>>> shell_stress_parts = shell_stress[:, mask]
+
    + +
    + +
    + +
    + + + +

    +plot(i_timestep=0, field=None, is_element_field=True, fringe_limits=None, export_filepath='') + +

    + + +
    + +

    Plot the d3plot geometry

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    i_timestep + int +

    timestep index to plot

    		 + 0 +
    field + Union[np.ndarray, None] +

    Array containing a field value for every element or node

    		 + None +
    is_element_field + bool +

    if the specified field is for elements or nodes

    		 + True +
    fringe_limits + Union[Tuple[float, float], None] +

    limits for the fringe bar. Set by default to min and max.

    		 + None +
    export_filepath + str +

    filepath to export the html to

    		 + '' +
    +

    Notes

    +
    Currently only shell elements can be plotted, since for
+solids the surface needs extraction.
+
    + +

    Examples:

    + 
    Plot deformation of last timestep.
+
+>>> d3plot = D3plot("path/to/d3plot")
+>>> d3plot.plot(-1)
+>>> # get eff. plastic strain
+>>> pstrain = d3plot.arrays[ArrayType.element_shell_effective_plastic_strain]
+>>> pstrain.shape
+(1, 4696, 3)
+>>> # mean across all 3 integration points
+>>> pstrain = pstrain.mean(axis=2)
+>>> pstrain.shape
+(1, 4696)
+>>> # we only have 1 timestep here but let's take last one in general
+>>> last_timestep = -1
+>>> d3plot.plot(0, field=pstrain[last_timestep])
+>>> # we don't like the fringe, let's adjust
+>>> d3plot.plot(0, field=pstrain[last_timestep], fringe_limits=(0, 0.3))
+
    + +
    + +
    + +
    + + + +

    +write_d3plot(filepath, block_size_bytes=2048, single_file=True) + +

    + + +
    + +

    Write a d3plot file again (pro version only)

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    filepath + Union[str, BinaryIO] +

    filepath of the new d3plot file or an opened file handle

    		 + required +
    block_size_bytes + int +

    D3plots are originally written in byte-blocks causing zero-padding at the end of +files. This can be controlled by this parameter. Set to 0 for no padding.

    		 + 2048 +
    single_file + bool +

    whether to write all states into a single file

    		 + True +
    + +

    Examples:

    + 
    Modify an existing d3plot:
+
+>>> d3plot = D3plot("path/to/d3plot")
+>>> hvars = d3plot.array[ArrayType.element_shell_history_vars]
+>>> hvars.shape
+(1, 4696, 3, 19)
+>>> new_history_var = np.random.random((1, 4696, 3, 1))
+>>> new_hvars = np.concatenate([hvars, new_history_var], axis=3)
+>>> d3plot.array[ArrayType.element_shell_history_vars] = new_hvars
+>>> d3plot.write_d3plot("path/to/new/d3plot")
+
+Write a new d3plot from scratch:
+
+>>> d3plot = D3plot()
+>>> d3plot.arrays[ArrayType.node_coordinates] = np.array([[0, 0, 0],
+...                                                       [1, 0, 0],
+...                                                       [0, 1, 0]])
+>>> d3plot.arrays[ArrayType.element_shell_node_indexes] = np.array([[0, 2, 1, 1]])
+>>> d3plot.arrays[ArrayType.element_shell_part_indexes] = np.array([0])
+>>> d3plot.arrays[ArrayType.node_displacement] = np.array([[[0, 0, 0],
+...                                                         [1, 0, 0],
+...                                                         [0, 1, 0]]])
+>>> d3plot.write_d3plot("yay.d3plot")
+
    +

    Notes

    +
    This function is not available in the public version please contact
+LASSO directly in case of further interest.
+
    + +
    + +
    + + + +
    + +
    + +
    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/dyna/D3plotHeader/index.html b/dyna/D3plotHeader/index.html new file mode 100644 index 0000000..e3aafdc --- /dev/null +++ b/dyna/D3plotHeader/index.html @@ -0,0 +1,2070 @@ + + + + + + + + + + + + + + + + + + D3plotHeader - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
    + + + + +
    + + +
    + +
    + + + + + + +
    +
    + + + +
    +
    +
    + + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    + + + + + + + + + +

    D3plotHeader

    + + +
    + + + +
    + + +

    Class for reading only header information of a d3plot

    + +

    Attributes:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescription
    filepath + str +

    Filepath of the processed file.

    itype + np.dtype +

    Integer type of d3plot.

    ftype + np.dtype +

    Floating point type of d3plot.

    wordsize + int +

    size of words in bytes (4 = single precision, 8 = double precision).

    raw_header + Dict[str, Any] +

    Raw header data as dict.

    external_numbers_dtype + np.dtype +

    Integer type of user ids.

    n_header_bytes + int +

    Number of bytes of header (at least 256 or more).

    title + str +

    Main title.

    title2 + str +

    Optional, secondary title.

    runtime + int +

    Runtime of the d3plot as timestamp.

    filetype + D3plotFiletype +

    Filetype such as d3plot or d3part.

    source_version + int +

    Source version of LS-Dyna.

    release_version + str +

    Release version of LS-Dyna.

    version + float +

    Version of LS-Dyna.

    extra_long_header + bool +

    If header was longer than default.

    n_dimensions + int +

    Number of dimensions, usually three.

    n_global_vars + int +

    How many global vars for each state.

    n_adapted_element_pairs + int +

    How many adapted element pairs.

    has_node_deletion_data + bool +

    If node deletion data is present.

    has_element_deletion_data + bool +

    If element deletion data is present.

    has_numbering_section + bool +

    If a user numbering section is present.

    has_material_type_section + bool +

    If material type section was written.

    n_numbering_section_words + int +

    Amount of words for numbering section.

    has_invariant_numbering + bool +

    If invariant numbering is used whatever that means.

    quadratic_elems_has_full_connectivity + bool +

    If quadric elements have full connectivity.

    quadratic_elems_has_data_at_integration_points + bool +

    If quadric elements data is at integration points.

    n_post_branches + int +

    Unused and unknown.

    n_types + Tuple[int, ...] +

    Behind geometry these are integers indicating additional data such as +part names.

    n_parts + int +

    Obviously number of parts.

    n_nodes + int +

    Number of nodes.

    has_node_temperatures + bool +

    If node temperature is present.

    has_node_temperature_layers + bool +

    If node temperatures are layered.

    has_node_heat_flux + bool +

    If node heat flux is present.

    has_node_mass_scaling + bool +

    Mass scaling is written.

    has_node_displacement + bool +

    Node displacement is written.

    has_node_velocity + bool +

    Node velocity is written.

    has_node_acceleration + bool +

    Node acceleration is written.

    has_node_temperature_gradient + bool +

    Node temperature gradient is written.

    has_node_residual_forces + bool +

    Node residual forces are written.

    has_node_residual_moments + bool +

    Node residual moments are written.

    has_node_max_contact_penetration_absolute + bool +

    Node contact penetration info exist.

    has_node_max_contact_penetration_relative + bool +

    Node relative contact penetration info was written.

    has_node_contact_energy_density + int +

    Node energy density was written.

    n_shell_tshell_layers + int +

    Number of layers for shells and thick shells.

    n_shell_tshell_history_vars + int +

    Number of history vars for shells and thick shells.

    has_shell_tshell_stress + bool +

    If shells and thick shells have stresses.

    has_shell_tshell_pstrain + bool +

    If shells and thick shells have eff. plastic strain.

    has_element_strain + bool +

    If all elements have strain.

    has_solid_shell_plastic_strain_tensor + bool +

    If solids have plastic strain tensor.

    has_solid_shell_thermal_strain_tensor + bool +

    If solids have thermal strain tensor.

    n_solids + int +

    Number of solids.

    n_solid_vars + int +

    Number of solid variables per element and state.

    n_solid_materials + int +

    Number of solid materials/parts.

    n_solid_history_vars + int +

    Number of solid history variables.

    n_solid_thermal_vars + int +

    Number of solid thermal variables.

    n_solids_20_node_hexas + int +

    Number of 20-node solid hexas.

    n_solids_27_node_hexas + int +

    Number of 27-node solid hexas.

    n_solids_21_node_pentas + int +

    Number of 21-node solid pentas.

    n_solids_15_node_tetras + int +

    Number of 15-node solid tetras.

    n_solids_20_node_tetras + int +

    Number of 20-node solid tetras.

    n_solids_40_node_pentas + int +

    Number of 40-node solid pentas.

    n_solids_64_node_hexas + int +

    Number of 64-node solid hexas.

    has_solid_2_extra_nodes + bool +

    If two extra nodes were written for solids.

    has_solid_stress + bool +

    If solid stress is present.

    has_solid_pstrain + bool +

    If solid eff. plastic strain is present.

    has_quadratic_solids + bool +

    If quadratic solids were used.

    has_cubic_solids + bool +

    If cubic solids were used.

    has_solid_internal_energy_density + bool +

    If solids have internal energy density.

    n_solid_layers + int +

    Number of solid layers.

    n_shells + int +

    Number of shells.

    n_shell_vars + int +

    Number of shell vars per element and state.

    n_shell_materials + int +

    Number of shell materials/parts.

    n_shells_8_nodes + int +

    Number of 8-node shells.

    has_shell_four_inplane_gauss_points + bool +

    If shells have four inplace gaussian integration points.

    has_shell_forces + bool +

    If shell forces are present.

    has_shell_extra_variables + bool +

    If extra shell variables such as forces are present.

    has_shell_internal_energy_density + bool +

    If shell internal energy density is present.

    n_thick_shells + int +

    Number of thick shell elements.

    n_thick_shell_vars + int +

    Number of thick shell element vars.

    n_thick_shell_materials + int +

    Number of thick shell materials/parts.

    has_thick_shell_energy_density + bool +

    If thick shells have energy density.

    thick_shell_energy_density_position + int +

    Nnused.

    n_beams + int +

    Number of beam elements.

    n_beam_vars + int +

    Number of state variables per beam element.

    n_beam_materials + int +

    Number of beam materials.

    n_beam_history_vars + int +

    Number of beam history variables.

    n_airbags + int +

    Number of airbags.

    has_airbag_n_chambers + bool +

    If airbags have number of chambers var.

    has_rigid_road_surface + bool +

    If rigid road surface was written.

    has_rigid_body_data + bool +

    If rigid body section was written.

    has_reduced_rigid_body_data + bool +

    If the reduced set of rigid body data was written.

    n_rigid_wall_vars + int +

    Number of rigid wall vars.

    n_sph_nodes + int +

    Number of sph nodes.

    n_sph_materials + int +

    Number of sph materials.

    n_ale_materials + int +

    Number of ale materials.

    n_ale_fluid_groups + int +

    Number of ale fluid groups.

    has_cfd_data + bool +

    If CFD-Data was written.

    has_multi_solver_data + bool +

    If multi-solver data was written.

    cfd_extra_data + int +

    If cfd data contains extra section.

    legacy_code_type + int +

    Originally a code indicator but unused nowadays.

    unused_numst + int +

    Unused and not explained in docs.

    + + + + + +
    + + + + + + + + + +
    + + + +

    +__init__(filepath=None) + +

    + + +
    + +

    Create a D3plotHeader instance

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    filepath + Union[str, BinaryBuffer, None] +

    path to a d3plot file or a buffer holding d3plot memory

    		 + None +
    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    header + D3plotHeader +

    d3plot header instance

    + +

    Examples:

    + 
    Create an empty header file
+
+>>> header = D3plotHeader()
+
+Now load only the header of a d3plot.
+
+>>> header.load_file("path/to/d3plot")
+
+Or we can do the above together.
+
+>>> header = D3plotHeader("path/to/d3plot")
+
    +

    Notes

    +
    This class does not load the entire memory of a d3plot
+but merely what is required to parse the header information.
+Thus, it is safe to use on big files.
+
    + +
    + +
    + +
    + + + +

    +load_file(file) + +

    + + +
    + +

    Load d3plot header from a d3plot file

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    file + Union[str, BinaryBuffer] +

    path to d3plot or BinaryBuffer holding memory of d3plot

    		 + required +
    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    self + D3plotHeader +

    returning self on success

    +

    Notes

    +
    This routine only loads the minimal amount of data
+that is neccessary. Thus it is safe to use on huge files.
+
    + +

    Examples:

    + 
    >>> header = D3plotHeader().load_file("path/to/d3plot")
+>>> header.n_shells
+19684
+
    + +
    + +
    + +
    + + + +

    +compare(other) + +

    + + +
    + +

    Compare two headers and get the differences

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    other + D3plotHeader +

    other d3plot header instance

    		 + required +
    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    differences + Dict[str, Tuple[Any, Any]] +

    The different entries of both headers in a dict

    + +
    + +
    + + + +
    + +
    + +
    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/dyna/FilterType/index.html b/dyna/FilterType/index.html new file mode 100644 index 0000000..b1db1ff --- /dev/null +++ b/dyna/FilterType/index.html @@ -0,0 +1,1108 @@ + + + + + + + + + + + + + + + + + + FilterType - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
    + + + + +
    + + +
    + +
    + + + + + + +
    +
    + + + +
    +
    +
    + + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    + + + + + + + + + +

    FilterType

    + + +
    + + + +
    +

    + Bases: Enum

    + + +

    Used for filtering d3plot arrays

    + +

    Attributes:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescription
    BEAM + str +

    Filters for beam elements

    SHELL + str +

    Filters for shell elements

    SOLID + str +

    Filters for solid elements

    TSHELL + str +

    Filters for thick shells elements

    PART + str +

    Filters for parts

    NODE + str +

    Filters for nodes

    + +

    Examples:

    + 
    >>> part_ids = [13, 14]
+>>> d3plot.get_part_filter(FilterType.SHELL, part_ids)
+
    + + + + + +
    + + + + + + + + + + + +
    + +
    + +
    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/dyna/index.html b/dyna/index.html new file mode 100644 index 0000000..aee3454 --- /dev/null +++ b/dyna/index.html @@ -0,0 +1,1079 @@ + + + + + + + + + + + + + + + + + + Overview - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
    + + + + +
    + + +
    + +
    + + + + + + +
    +
    + + + +
    +
    +
    + + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    + + + + + + + + + +

    lasso.dyna

    +

    The dyna module contains classes to read, write and display LS-Dyna result +files. +For a detailed list of features, see the following list:

    +
      +
    • D3plot
        +
      • Read & Write
          +
        • Beam, Shell, Solid, TShell Results
          • +
        • Element/Node deletion
          • +
        • Part Metadata
          • +
        • Material Type Data
          • +
        • Rigid Body Data
          • +
        • Rigid Road Data
          • +
        • SPH
          • +
        • Particles
          • +
        +
        • +
      • Plot shell-based parts as 3D HTML
        • +
      +
      • +
    • Binout
        +
      • Read & Write
        • +
      +
      • +
    +
    +

    Note

    +

    The D3plot reader can process almost every structural result or results +connected to it such as airbag results. Multi-Solver data though and +connected results are not supported.

    +
    +

    D3plot Example

    +
    >>> from lasso.dyna import D3plot, ArrayType, FilterType
+
+>>> # read a file (zero-copy reading of everything)
+>>> d3plot = D3plot("path/to/d3plot")
+
+>>> # read file 
+>>> # - buffered (less memory usage)
+>>> # - only node displacements (safes memory)
+>>> # - read only first and last state
+>>> d3plot = D3plot("path/to/d3plot",
+>>>                 state_array_filter=["node_displacement"],
+>>>                 buffered_reading=True,
+>>>                 state_filter={0, -1})
+
+>>> # and of course femzipped files
+>>> d3plot = D3plot("path/to/d3plot.fz")
+
+>>> # get arrays (see docs of ArrayType for shape info)
+>>> disp = d3plot.arrays["node_displacement"]
+>>> disp.shape
+(34, 51723, 3)
+>>> # this is safer and has auto-completion
+>>> disp = d3plot.arrays[ArrayType.node_displacement]
+
+>>> # filter elements for certain parts
+>>> pstrain = d3plot.arrays[ArrayType.element_shell_effective_plastic_strain]
+>>> pstrain.shape
+(34, 56372, 3)
+>>> mask = d3plot.get_part_filter(FilterType.SHELL, [44, 45])
+>>> # filter elements with mask
+>>> pstrain[:, mask].shape
+(34, 17392, 3)
+
+>>> # create a standalone html plot
+>>> d3plot.plot()
+
    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/dyna/performance_info/index.html b/dyna/performance_info/index.html new file mode 100644 index 0000000..d3c8170 --- /dev/null +++ b/dyna/performance_info/index.html @@ -0,0 +1,1138 @@ + + + + + + + + + + + + + + + + + + Performance Info - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
    + + + + +
    + + +
    + +
    + + + + + + +
    +
    + + + +
    +
    +
    + + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    + + + + + + + + + +

    Performance Info

    +

    D3plot

    +

    Benchmark:

    +

    The d3plot reader is blazingly fast by using several memory tricks. +While postprocessors build up an internal datastructure during reading, this +reader avoids this and simply references memory within the files. +In consequence performance benchmarks show that the runtime of the code is +solely dominated by pulling the files into memory.

    +
    2108 function calls (2099 primitive calls) in 43.017 seconds 
+Ordered by: internal time
+ncalls  tottime  percall  cumtime  percall filename:lineno(function)
+    35   38.960    1.113   38.960    1.113 {method 'readinto' of '_io.BufferedReader' objects}
+    35    2.366    0.068    2.366    0.068 {built-in method io.open}
+    1     1.644    1.644   42.959   42.959 D3plot.py:2565(_read_state_bytebuffer)
+    71    0.043    0.001    0.043    0.001 {built-in method nt.stat}
+    2     0.002    0.001    0.057    0.028 BinaryBuffer.py:234(load)
+    70    0.000    0.000    0.001    0.000 ntpath.py:74(join)
+    142   0.000    0.000    0.000    0.000 ntpath.py:121(splitdrive)
+    1     0.000    0.000    0.019    0.019 D3plot.py:2738(<listcomp>)
+    1     0.000    0.000    0.000    0.000 {built-in method nt.listdir}
+    36    0.000    0.000    0.000    0.000 {method 'match' of '_sre.SRE_Pattern' objects}
+    84    0.000    0.000    0.000    0.000 {built-in method numpy.core.multiarray.frombuffer} 
+    1     0.000    0.000   42.959   42.959 D3plot.py:1304(_read_states)
+    ...
+
    +

    In the table above the largest, first three performance issues are all related +to loading files into memory, accounting for 99.89% of runtime. +The routines reading the data arrays (deserialization) have an almost constant +runtime of a few milliseconds and are independent of the filesize.

    +

    Efficiency

    +

    Note that writing such efficient and simple code in C or any other language is +much more challenging than in Python, thus surprisingly this implementation can +be expected to outperform most native codes and tools. +Indeed tests show that when reading all results of a d3plot in a postprocessor, +this library is devastatingly fast. +For reading single node-fields this library can be slower though (see +Improvements below).

    +

    Array-based API

    +

    Building objects is useful (e.g. neighbor search) but requires additional +runtime overhead. +By the principle of "don't pay for what you don't use" it was decided to avoid +object orientation, thus providing a majorly array-based API. +This is perfectly suitable for data analysis as well as machine learning.

    +

    Improvements

    +

    A speedup 'could' be achieved by using memory-mapping, thus pulling only +fractions of the files into the RAM which hold the required arrays. +Postprocessors sometimes do this when reading certain fields, outperforming +this library in such a case (e.g. node displacements). +Since dyna litters most arrays across the entire file though, this method was +not considered worth the effort and thus this library always reads everything.

    +

    Binout

    +

    The binout is used to store arbitrary binary data at a much higher frequency +than the d3plot. +As a result the data is dumped in an internal 'state folder'. +Since different results may be dumped at different frequencies some state +folders might contain more information than others. +This inherently prevents efficient memory reading. +The python version used here is slower than the original C-based version but +one therefore gains better portability accross operating systems.

    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/femzip/FemzipAPI/index.html b/femzip/FemzipAPI/index.html new file mode 100644 index 0000000..ec365c0 --- /dev/null +++ b/femzip/FemzipAPI/index.html @@ -0,0 +1,2632 @@ + + + + + + + + + + + + + + + + + + FemzipAPI - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
    + + + + +
    + + +
    + +
    + + + + + + +
    +
    + + + +
    +
    +
    + + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    + + + + + + + + + +

    FemzipAPI

    + + +
    + + + +
    + + +

    FemzipAPI contains wrapper functions around the femzip library.

    + + + + + +
    + + + + + + + +
    + + + +

    +api: CDLL + + + property + + +

    + + +
    + +

    Returns the loaded, shared object library of the native interface

    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    shared_object_lib + CDLL +

    Loaded shared object library.

    +
    + +
    + + + +
    + + + +

    +close_current_file() + +

    + + +
    + +

    Closes the current file handle(use not recommended)

    +

    Notes

    +
    Closes a currently opened file by the API. There
+is no arg because femzip can process only one file
+at a time.
+This can also be used in case of bugs.
+
    + +

    Examples:

    + 
    >>> api.close_current_file()
+
    + +
    + +
    + +
    + + + +

    +copy_struct(src, dest) + + + staticmethod + + +

    + + +
    + +

    Copies all fields from src struct to dest

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    src + Structure +

    src struct

    		 + required +
    src + Structure +

    destination struct

    		 + required +
    + +

    Examples:

    + 
    >>> err1 = FemzipError()
+>>> err1.ier = -1
+>>> err1.msg = b"Oops"
+>>> err2 = FemzipError()
+>>> api.copy_struct(err1, err2)
+>>> err2.ier
+-1
+>>> err2.msg
+b'Oops'
+
    + +
    + +
    + +
    + + + +

    +get_buffer_info(filepath) + +

    + + +
    + +

    Get the dimensions of the buffers for femzip

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    filepath + str +

    path to femzip file

    		 + required +
    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    buffer_info + FemzipBufferInfo +

    c struct with infos about the memory required by femzip

    + +

    Examples:

    + 
    >>> # read memory demand info first
+>>> buffer_info = api.get_buffer_info(filepath)
+>>> # buffer info is a c struct, but we can print it
+>>> api.struct_to_dict(buffer_info)
+{'n_timesteps': 12,
+'timesteps': <lasso.femzip.femzip_api.LP_c_float object at 0x0000028A8F6B21C0>,
+'size_geometry': 537125, 'size_state': 1462902, 'size_displacement': 147716,
+'size_activity': 47385, 'size_post': 1266356, 'size_titles': 1448}
+>>> for i_timestep in range(buffer_info.n_timesteps):
+>>>     print(buffer_info.timesteps[i_timestep])
+0.0
+0.9998100399971008
+1.9998900890350342
+2.9999701976776123
+3.9997801780700684
+
    + +
    + +
    + +
    + + + +

    +get_femzip_status() + +

    + + +
    + +

    Check the status of the femzip api

    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    femzip_status + FemzipAPIStatus +

    c struct with info about femzip API

    +

    Notes

    +
    This reports whether a file is currently
+opened and how far it was processed. This
+internal state is used to avoid internal
+conflicts and crashes, thus is useful for
+debugging.
+
    + +

    Examples:

    + 
    >>> print(api.struct_to_dict(api.get_femzip_status()))
+{'is_file_open': 0, 'is_geometry_read': 0, 'is_states_open': 0,
+'i_timestep_state': -1, 'i_timestep_activity': -1}
+
    + +
    + +
    + +
    + + + +

    +get_file_metadata(filepath) + +

    + + +
    + +

    Get infos about the femzip variables in the file

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    filepath + str +

    path to femzip file

    		 + required +
    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    file_metadata + FemzipFileMetadata +

    c struct with infos about the femzip file

    +

    Notes

    +
    This is for direct interaction with the C-API, thus should
+not be used by users.
+
    + +

    Examples:

    + 
    >>> file_metadata = api.get_file_metadata("path/to/d3plot.fz")
+>>> # print general internals
+>>> api.struct_to_dict(file_metadata)
+{'version_zip': 605.0, 'activity_flag': 1, 'number_of_variables': 535, ...}
+
+>>> # We can iterate the variable names contained in the file
+>>> print(
+    [file_metadata.variable_infos[i_var].name.decode("utf8").strip()
+    for i_var in range(file_metadata.number_of_variables)]
+)
+['global', 'Parts: Energies and others', 'coordinates', 'velocities', ...]
+
    + +
    + +
    + +
    + + + +

    +get_part_titles(filepath, buffer_info=None) + +

    + + +
    + +

    Get the part title section

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    filepath + str +

    path to femzip file

    		 + required +
    buffer_info + Union[None, FemzipBufferInfo] +

    buffer info if previously fetched

    		 + None +
    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    mview + memoryview +

    memory of the part title section

    + +
    + +
    + +
    + + + +

    +has_femunziplib_license() + +

    + + +
    + +

    Checks whether the extended libraries are available

    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    has_license + bool +
    + +

    Examples:

    + 
    >>> api.has_femunziplib_license()
+False
+
    + +
    + +
    + +
    + + + +

    +is_femunzip_version_ok(filepath) + +

    + + +
    + +

    Checks if the femunzip version can be handled

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    filepath + str +

    path to the femzpi file

    		 + required +
    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    version_ok + bool +
    + +

    Examples:

    + 
    >>> api.is_femunzip_version_ok("path/to/d3plot.fz")
+True
+
    + +
    + +
    + +
    + + + +

    +is_sidact_file(filepath) + +

    + + +
    + +

    Tests if a filepath points at a sidact file

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    filepath + str + + required +
    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    is_sidact_file + bool +
    + +

    Examples:

    + 
    >>> api.is_sidact_file("path/to/d3plot.fz")
+True
+>>> api.is_sidact_file("path/to/d3plot")
+False
+>>> api.is_sidact_file("path/to/non/existing/file")
+False
+
    + +
    + +
    + +
    + + + +

    +load_dynamic_library(path) + + + staticmethod + + +

    + + +
    + +

    Load a library and check for correct execution

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    path + str +

    path to the library

    		 + required +
    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    library + CDLL +

    loaded library

    + +
    + +
    + +
    + + + +

    +read_geometry(filepath, buffer_info=None, close_file=True) + +

    + + +
    + +

    Read the geometry buffer from femzip

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    filepath + str +

    path to femzpi file

    		 + required +
    buffer_info + Union[FemzipBufferInfo, None] +

    struct with info regarding required memory for femzip

    		 + None +
    close_file + bool +

    it is useful to leave the file open if +states are processed right afterwards

    		 + True +
    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    buffer + memoryview +

    memoryview of buffer

    +

    Notes

    +
    If the file isn't closed appropriately bugs and crashes
+might occur.
+
    + +

    Examples:

    + 
    >>> mview = api.read_geometry(filepath, buffer_info)
+
    + +
    + +
    + +
    + + + +

    +read_single_state(i_timestep, buffer_info, state_buffer=None) + +

    + + +
    + +

    Read a single state

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    i_timestep + int +

    timestep to be read

    		 + required +
    buffer_info + FemzipBufferInfo +

    infos about buffer sizes

    		 + required +
    state_buffer + Union[None, memoryview] +

    buffer in which the states are stored

    		 + None +
    +

    Notes

    +
    It is unclear to us why the state buffer needs to be given
+in order to terminate state reading.
+
    + +

    Examples:

    + 
    >>> # get info about required memory
+>>> buffer_info = api.get_buffer_info(filepath)
+
+>>> # first read geometry and leave file open
+>>> mview_geom = api.read_geometry(filepath, buffer_info, False)
+
+>>> # now read a state
+>>> mview_state = api.read_single_state(0, buffer_info=buffer_info)
+
+>>> # close file
+>>> api.close_current_file()
+
    + +
    + +
    + +
    + + + +

    +read_state_deletion_info(buffer_info, state_filter=None) + +

    + + +
    + +

    Get information which elements are alive

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    buffer_info + FemzipBufferInfo +

    infos about buffer sizes

    		 + required +
    state_filter + Union[Set[int], None] +

    usable to read only specific states

    		 + None +
    +

    Notes

    +
    The `buffer` must have the size of at least
+`buffer_info.size_activity`.
+
    + +

    Examples:

    + 
    >>> # get info about required memory
+>>> buffer_info = api.get_buffer_info(filepath)
+
+>>> # first read geometry and leave file open!
+>>> mview_geom = api.read_geometry(filepath, buffer_info, False)
+
+>>> # now read deletion info
+>>> array_deletion = api.read_state_activity(buffer_info)
+
+>>> # close file
+>>> api.close_current_file()
+
    + +
    + +
    + +
    + + + +

    +read_states(filepath, buffer_info=None, state_filter=None) + +

    + + +
    + +

    Reads all femzip state information

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    filepath + str +

    path to femzip file

    		 + required +
    buffer_info + Union[FemzipBufferInfo, None] +

    struct with info regarding required memory for femzip

    		 + None +
    state_filter + Union[Set[int], None] +

    usable to load only specific states

    		 + None +
    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    buffer + memoryview +

    buffer containing all state data

    + +

    Examples:

    + 
    >>> buffer_info = api.get_buffer_info("path/to/d3plot.fz")
+>>> array_states = api.read_states("path/to/d3plot.fz", buffer_info)
+
    + +
    + +
    + +
    + + + +

    +read_variables(file_metadata, n_parts, n_rigid_walls, n_rigid_wall_vars, n_airbag_particles, n_airbags, state_filter=None) + +

    + + +
    + +

    Read specific variables from Femzip

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    file_metadata + FemzipFileMetadata +

    metadata of file including which variables to read

    		 + required +
    n_parts + int +

    number of parts in the file

    		 + required +
    n_rigid_walls + int +

    number of rigid walls

    		 + required +
    n_rigid_wall_vars + int +

    number of rigid wall variables

    		 + required +
    n_airbag_particles + int +

    number of airbag particles in the file

    		 + required +
    n_airbags + int + + required +
    state_filter + Union[Set[int], None] +

    used to read specific arrays

    		 + None +
    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    arrays + dict +

    dictionary with d3plot arrays

    +

    Notes

    +
    Uses extended femzip library and requires a license
+for 'FEMUNZIPLIB_DYNA'. Please contact sidact if
+required.
+
    + +
    + +
    + +
    + + + +

    +struct_to_dict(struct) + + + staticmethod + + +

    + + +
    + +

    Converts a ctypes struct into a dict

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    struct + Structure + + required +
    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    fields + Dict[str, Any] +

    struct as dict

    + +

    Examples:

    + 
    >>> api.struct_to_dict(api.get_femzip_status())
+{'is_file_open': 1, 'is_geometry_read': 1, 'is_states_open': 0,
+'i_timestep_state': -1, 'i_timestep_activity': -1}
+
    + +
    + +
    + + + +
    + +
    + +
    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/femzip/FemzipAPIStatus/index.html b/femzip/FemzipAPIStatus/index.html new file mode 100644 index 0000000..d5dc06e --- /dev/null +++ b/femzip/FemzipAPIStatus/index.html @@ -0,0 +1,1096 @@ + + + + + + + + + + + + + + + + + + FemzipAPIStatus - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
    + + + + +
    + + +
    + +
    + + + + + + +
    +
    + + + +
    +
    +
    + + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    + + + + + + + + + +

    FemzipAPIStatus

    + + +
    + + + +
    +

    + Bases: Structure

    + + +

    This struct summarizes the state of the femzip API library. The library +has a shared, global state which is stored in static variables. The state +of the gloval vars is tracked by this struct.

    + +

    Attributes:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescription
    is_file_open + c_int32 +

    Whether a femzip file is opened and being processed.

    is_geometry_read + c_int32 +

    Whether the geometry was already read.

    is_states_open + c_int32 +

    Whether processing of the states was started.

    i_timestep_state + c_int32 +

    Counter of timestep processing.

    i_timestep_activity + c_int32 +

    Counter of activity data for timesteps.

    + + + + + +
    + + + + + + + + + + + +
    + +
    + +
    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/femzip/FemzipBufferInfo/index.html b/femzip/FemzipBufferInfo/index.html new file mode 100644 index 0000000..64d4889 --- /dev/null +++ b/femzip/FemzipBufferInfo/index.html @@ -0,0 +1,1116 @@ + + + + + + + + + + + + + + + + + + FemzipBufferInfo - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
    + + + + +
    + + +
    + +
    + + + + + + +
    +
    + + + +
    +
    +
    + + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    + + + + + + + + + +

    FemzipBufferInfo

    + + +
    + + + +
    +

    + Bases: Structure

    + + +

    This struct describes necessary buffer sizes for reading the file

    + +

    Attributes:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescription
    n_timesteps + c_uint64 +

    Number of timesteps

    timesteps + POINTER(c_float) +

    Time for each timestep

    size_geometry + c_uint64 +

    Size of the geometry buffer

    size_state + c_uint64 +

    Size of the state buffer

    size_displacement + c_uint64 +

    Size for displacement array

    size_activity + c_uint64 +

    Size for activity array (deletion stuff)

    size_post + c_uint64 +

    Size of the post region of which I currently don't know anymore what it +was.

    size_titles + c_uint64 +

    Size of the titles region behind the geomtry.

    + + + + + +
    + + + + + + + + + + + +
    + +
    + +
    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/femzip/FemzipError/index.html b/femzip/FemzipError/index.html new file mode 100644 index 0000000..77dd578 --- /dev/null +++ b/femzip/FemzipError/index.html @@ -0,0 +1,1073 @@ + + + + + + + + + + + + + + + + + + FemzipError - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
    + + + + +
    + + +
    + +
    + + + + + + +
    +
    + + + +
    +
    +
    + + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    + + + + + + + + + +

    FemzipError

    + + +
    + + + +
    +

    + Bases: Structure

    + + +

    Struct representing femzip errors in c-code

    + +

    Attributes:

    + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescription
    ier + c_int32 +

    Error code

    msg + c_char_p +

    Error message

    + + + + + +
    + + + + + + + + + + + +
    + +
    + +
    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/femzip/FemzipFileMetadata/index.html b/femzip/FemzipFileMetadata/index.html new file mode 100644 index 0000000..85a9de6 --- /dev/null +++ b/femzip/FemzipFileMetadata/index.html @@ -0,0 +1,1241 @@ + + + + + + + + + + + + + + + + + + FemzipFileMetadata - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
    + + + + +
    + + +
    + +
    + + + + + + +
    +
    + + + +
    +
    +
    + + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    + + + + + + + + + +

    FemzipFileMetadata

    + + +
    + + + +
    +

    + Bases: Structure

    + + +

    This struct contains metadata about femzip files.

    + +

    Attributes:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescription
    version_zip + c_float +
    activity_flag + c_int32 +
    number_of_variables + c_int32 +
    number_of_nodes + c_int32 +
    number_of_solid_elements + c_int32 +
    number_of_thick_shell_elements + c_int32 +
    number_of_1D_elements + c_int32 +
    number_of_tool_elements + c_int32 +
    number_of_shell_elements + c_int32 +
    number_of_solid_element_neighbors + c_int32 +
    number_of_rbe_element_neighbors + c_int32 +
    number_of_bar_elements + c_int32 +
    number_of_beam_elements + c_int32 +
    number_of_plotel_elements + c_int32 +
    number_of_spring_elements + c_int32 +
    number_of_damper_elements + c_int32 +
    number_of_joint_elements + c_int32 +
    number_of_joint_element_neighbors + c_int32 +
    number_of_bar_element_neighbors + c_int32 +
    number_of_beamcross_elements + c_int32 +
    number_of_spotweld_elements + c_int32 +
    number_of_rbe_elements + c_int32 +
    number_of_hexa20_elements + c_int32 +
    number_of_rigid_shell_elements + c_int32 +
    number_of_timesteps + c_int32 +
    variable_infos + POINTER(VariableInfo) +
    + + + + + +
    + + + + + + + + + + + +
    + +
    + +
    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/femzip/FemzipVariableCategory/index.html b/femzip/FemzipVariableCategory/index.html new file mode 100644 index 0000000..6a1982f --- /dev/null +++ b/femzip/FemzipVariableCategory/index.html @@ -0,0 +1,1256 @@ + + + + + + + + + + + + + + + + + + FemzipVariableCategory - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
    + + + + +
    + + +
    + +
    + + + + + + +
    +
    + + + +
    +
    +
    + + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    + + + + + + + + + +

    FemzipVariableCategory

    + + +
    + + + +
    +

    + Bases: enum.Enum

    + + +

    Enum for femzip variable categories

    + +

    Attributes:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescription
    GEOMETRY + int +

    -5

    PART + int +

    -2

    GLOBAL + int +

    -1

    NODE + int +

    0

    SOLID + int +

    1

    THICK_SHELL + int +

    2

    BEAM + int +

    3

    TOOLS + int +

    4

    SHELL + int +

    5

    SPH + int +

    6

    FPM + int +

    7

    CFD + int +

    8

    CPM_FLOAT_VAR + int +

    9

    CPM_AIRBAG + int +

    10

    CPM_INT_VAR + int +

    11

    RADIOSS_STATE_DATA + int +

    12

    HEXA20 + int +

    13

    + + + + + +
    + + + + + + + + + +
    + + + +

    +from_int(number) + + + staticmethod + + +

    + + +
    + +

    Deserializes an integer into an enum

    + +

    Parameters:

    + + + + + + + + + + + + + + + + + +
    NameTypeDescriptionDefault
    number + int +

    number to turn into an enum

    		 + required +
    + +

    Returns:

    + + + + + + + + + + + + + +
    Name TypeDescription
    enum_value + FemzipVariableCategory +
    + +
    + +
    + + + +
    + +
    + +
    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/femzip/VariableInfo/index.html b/femzip/VariableInfo/index.html new file mode 100644 index 0000000..8ec79c8 --- /dev/null +++ b/femzip/VariableInfo/index.html @@ -0,0 +1,1008 @@ + + + + + + + + + + + + + + + + + + VariableInfo - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
    + + + + +
    + + +
    + +
    + + + + + + +
    +
    + + + +
    +
    +
    + + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    + + + + + + + + + +

    VariableInfo

    + + +
    + + + +
    +

    + Bases: Structure

    + + +

    Struct for details about a single femzip variable

    + +

    Attributes:

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    NameTypeDescription
    var_index + c_int32 +

    Index of the variable

    name + c_char_p +

    Name from femzip

    var_type + c_int32 +

    Variable type. See FemzipVariableCategory for translation.

    var_size + c_int32 +

    Array size of the field variable.

    + + + + + +
    + + + + + + + + + + + +
    + +
    + +
    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/femzip/index.html b/femzip/index.html new file mode 100644 index 0000000..28d3079 --- /dev/null +++ b/femzip/index.html @@ -0,0 +1,1082 @@ + + + + + + + + + + + + + + + + + + Overview - LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
    + + + + +
    + + +
    + +
    + + + + + + +
    +
    + + + +
    +
    +
    + + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    + + + + + + + + + +

    Femzip

    +

    Documentation of the Femzip module. +The D3plot reader uses this module to access femzip file data through the femzip +API. +It also allows to decompress files directly or use some additional utility +functions such as a femzip file check if desired.

    +

    Example

    +
    >>> from lasso.femzip import FemzipAPI
+>>> from ctypes import *
+>>> filepath = "path/to/d3plot.fz"
+
+>>> # Initialize API
+>>> api = FemzipAPI()
+
    +

    Here we check if we can use the extended FEMZIP-API. +The extended FEMZIP-API allows reading selected arrays, but reqires a license +with the feature "FEMUNZIPLIB-DYNA", which can be attained from SIDACT or +femzip distributors.

    +
    >>> api.has_femunziplib_license()
+True
+
    +

    Check if a file is femzipped:

    +
    >>> # check if file is femzipped
+>>> api.is_sidact_file(filepath)
+True
+
    +

    Check the file and library version. +This is usually not neccessary.

    +
    >>> api.is_femunzip_version_ok(filepath)
+True
+
    +

    It's efficient to get the memory demand for arrays beforehand and +hand this memory info to other functions. +It is often not mandatory though and a mere speedup.

    +
    >>> # read memory demand info first
+>>> buffer_info = api.get_buffer_info(filepath)
+>>> # buffer info is a c struct, but we can print it
+>>> api.struct_to_dict(buffer_info)
+{'n_timesteps': 12, 'timesteps': <lasso.femzip.femzip_api.LP_c_float object at 0x0000028A8F6B21C0>, 'size_geometry': 537125, 'size_state': 1462902, 'size_displacement': 147716, 'size_activity': 47385, 'size_post': 1266356, 'size_titles': 1448}
+>>> for i_timestep in range(buffer_info.n_timesteps):
+>>>     print(buffer_info.timesteps[i_timestep])
+0.0
+0.9998100399971008
+1.9998900890350342
+2.9999701976776123
+3.9997801780700684
+
    +

    Here we read the geometry buffer. +The file is kept open so that we can read states afterwards.

    +
    >>> mview = api.read_geometry(filepath, buffer_info, close_file=False)
+
    +

    Femzip can handle only one file per process. +In case of issues close the current file (shown later). +We can check the API status as follows

    +
    >>> print(api.struct_to_dict(api.get_femzip_status()))
+{'is_file_open': 1, 'is_geometry_read': 1, 'is_states_open': 0, 'i_timestep_state': -1, 'i_timestep_activity': -1}
+
    +

    Get the memory of a single state. +Must start at 0. Femzip does not allow reading arbitrary states inbetween.

    +
    >>> mview = api.read_single_state(i_timestep=0, buffer_info=buffer_info)
+
    +

    It is also possible to read the state memory directly into an already +allocated buffer.

    +
    >>> BufferType = c_float * (buffer_info.size_state)
+>>> mview = memoryview(BufferType())
+>>> api.read_single_state(1, buffer_info=buffer_info, state_buffer=mview)
+
    +

    Let's close the file manually. +This ensures that femzip resets its internal state.

    +
    >>> api.close_current_file()
+
    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/icon-discord.png b/icon-discord.png new file mode 100644 index 0000000000000000000000000000000000000000..b27a3faaf940eac8f8238c80f1c7f91703cc75b4 GIT binary patch literal 889 zcmV-<1BU#GP)RPxkFTS^P@D;gohkf4!7Ls)1+Txep9Q9u_2+9}mSVS&)v8e97D z?qShRoSDv02vZmQSNEQC=KRiibMAdlJ3sj~Rz6yBz>8M}>nNcNh6N`oCU3kQEgvm! zH_@(A66Q5u_?zSLHQssY^(A2BBVTi+eq2RV?fwS{0FNIix`_X_%sv7zRE=1R_zOdZ zmOK1EhJFM&us493hXzTU4dFlpZ3umM;b?39pM~P~cJyyh#5RZKw>fjWB=!`{m+I=b z0(S3xm{>klcP$9y@7wddg23FJl>@QZq+JK99<-x##X2Ysk_VtITmzeknU;RG?dxzelJ}STKKaWr^e&cA7t#~@mRN{&n==~_8sn9m9d|G zMIpxb`FR(B9GuVIm)&(w11sjeby*c<)=!0Ax!0JuxG2b*2DA6w`x9x5_XT~z-uf>W z?*f-W$Bs57f6w8Ff&9D+{v%842|6bs}DET z+?uOaBPjROEF1=DV`e!U{d+pq)!%^GWK`~(L(R$I?9iRT&1FxP{rjSG{yCXW19Ko} zb>yASA_rEVPKC3rAGX!s0Z4WB?Lhhr7zAztA+QQa03Y}6Po|J;Z}0Uuvy=N|1VH2g zKmd$kIwS0oK?7oKk+=z&-tn^af^EQ>LP7VtR4b9~C{{(5mYJ+$u}^`=?|tNei4x{3 zn#%z{l@N3gY^adKnQ0GmBm3wwYKTU*BCh1S1amjQOl0aMGgUtthucS*lgD=-OjpGs z_AT&y4rnRV+ + + + + + + + + + + + + + + + + LASSO-Python + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
    + + + + +
    + + +
    + +
    + + + + + + +
    +
    + + + +
    +
    +
    + + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    + + + + + + + + + +

    Open LASSO Python

    +

    This python library is designed for general purpose usage in the field of +Computer Aided Engineering (CAE). +It's name originates from the original initiator and donator of the project +Lasso GmbH. +The library is now maintained by an open-source community.

    +

    Community

    +

    Join our open-source community on:

    +

    DISCORD +Discord

    +

    Installation

    +
    python -m pip install lasso-python
+
    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/lasso-logo.png b/lasso-logo.png new file mode 100644 index 0000000000000000000000000000000000000000..c4a326c4dceaab9305f26affc972fadb49e1fbc3 GIT binary patch literal 3690 zcmV-w4wdnVP)cBrhjx^0EERQ%f>9_I-=XWjS~?53rwP*r6{==&+=0*q!l$M zPoL*MxeMDoq{2vn8-N%D1gVyh>I=1VCGftkT!5t1k?~&xm1~vPt}KXHEv}lp`jWvo zg38KOc%TI26e6cVbB)ahZA&kIve7rXEO_k!`myOBs+;zeW`A$NwG>(gD&6L8dP#*D z67YuIWVslf^7rRQ{kf?uU3?qjTI2mK$fWvzI{dR?1+gbUK;WFhOX~6beAldj-vnp) zf6}Nr&)Yb~z#H!EX(PO?&;ewkKnzgo)vCTH7Jm0+xEwu~Z)I)(8)OiI#}!54Jm~aK(}(6Aht@pnZOg_vdG1%3_3|RJAo3e`1lOnVi$ZyjrYDC>X zA!4>HEyxCDySHB(A#+#Bkl)}FyHOSR)Z7`jW12v=Kxa31_07GHJg{c+WXmsR6vzA7 zjjOiVVT(*t6j3Uot;#p+m7^;`QRrCGE_Pfv9O~6c3SPkWR+_m@HaY~9m6whO+N*+! znR~q&RR5*hAE%~4?e`e(;9YZ)Uu$%O0`Q5wD?RBCmRiXQd)(Z~M~;8{)j%-=?q7Bt zkT4@B2AB+Bqwk%}8uN8snJ(V0IXFHX+sL%Ah}0eopu)Z{7N#C+g2|y%qe*V^9|vwe zwkeX_ehgTWHw@L6oIBZFQKf00rVk4HJ?x${^o!`|sx*b&0IEDZ@MqhYSR(tLC=J5ZI}=`x*zRX0$fDI;8UZR 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...]]] [--outlier-args [OUTLIER_ARGS [OUTLIER_ARGS ...]]] [simulation_runs [simulation_runs ...]] Python utility script for dimensionality reduction. positional arguments: simulation_runs Simulation runs or patterns used to search for simulation runs. optional arguments: -h, --help show this help message and exit --reference-run REFERENCE_RUN Set the reference run instead of using the first entry in simulation runs. --exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]] Runs to exclude from the analysis. --start-stage [START_STAGE] At which specific stage to start the analysis (REFERENCE_RUN, IMPORT_RUNS, REDUCTION, CLUSTERING, EXPORT_PLOT). --end-stage [END_STAGE] At which specific stage to stop the analysis (REFERENCE_RUN, IMPORT_RUNS, REDUCTION, CLUSTERING, EXPORT_PLOT). --project-dir PROJECT_DIR Project dir for temporary files. Must be specified to allow restart at specific steps --embedding-images EMBEDDING_IMAGES Path to folder containing images of runs. Sample names must be numbers --logfile-filepath [LOGFILE_FILEPATH] Path for the logfile. A file will be created automatically if a project dir is specified. --n-processes [N_PROCESSES] Number of processes to use (default: n_cpu-1). --part-ids [PART_IDS [PART_IDS ...]] Part ids to process. By default all are taken. --timestep TIMESTEP Sets timestep to analyse. Uses last timestep if not set. --cluster-args [CLUSTER_ARGS [CLUSTER_ARGS ...]] Arguments for clustering algorithms. If not set, clustering will be skipped. --outlier-args [OUTLIER_ARGS [OUTLIER_ARGS ...]] Arguments for outlier detection befor clustering. Following arguments are required for the analysis: simulation-runs --project-dir] simulation-runs can be either tagged individually or by using placeholders for entire directories (e.g. '*.fz') and subdirectories (e.g. './**/*.fz'). Warning Every run clears respective steps of the generated .hdf5 file of previous runs, as well as the logfile. Tutorial In this tutorial, we will introduce the application of the command-line utility and explain some of the arguments. Make sure to have some similar D3plots (20 should already be fine). At first we will only apply the required arguments: $ python -m lasso/dimred/run \\ $ user/tutorial/plots/plot*.fz \\ $ --project-dir user/tutorial/projectfolder The first required argument is the filepath to the folder containing the simulation runs. In our case, all plots are contained in the same folder. If each plot is saved in its own folder, the command would look like this: $ python -m lasso/dimred/run \\ $ user/tutorial/plots*/plot.fz \\ $ --project-dir user/tutorial/projectfolder The --project-dir argument specifies the folder where the project data is saved. This will be a project_buffer.hdf5 file, a logfile , and the 3d_beta_plot[hh:mm:ss].html output. Note that for each run, corresponding entries in the project_buffer.hdf5 and the logfile will be overwritten. How to access the results in the project_buffer.hdf5 file will be discussed later. Your output should look similar to this: ==== OPEN - LASSO ==== \u250f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2513 \u2503 n-processes \u2503 5 \u2503 \u2502 reference-run \u2502 user/tuorial/plots/plot0.fz \u2502 \u2502 project-dir \u2502 user/tutorial/projectfolder \u2502 \u2502 # simul.-files \u2502 35 \u2502 \u2502 # excluded files \u2502 0 \u2502 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 ---- Running Routines ---- [14:25:56] Reference Subsample ... [14:26:04] Loadtime Reference subample: 8.020 [14:26:04] Total time for Reference subample: 8.080 [14:26:04] Reference subsample completed [14:26:04] Subsampling Subsampling plots ... \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 35 of 35; [14:29:03] Average Time per Subsampling Process: 24.76 [14:29:03] Average Loadtime per sample: 24.55 [14:29:03] Subsampling completed [14:29:03] Dimension Reduction ... [14:29:04] Dimension Reduction completed [14:29:04] No arguments provided for clustering, clustering aborted [14:29:04] Creating .html viz [14:29:05] Finished creating viz The output provides information about the different stages of the dimred tool, as well as some additional information. This allows you to keep track of the tools progress. The following 5 stages are run through: REFERENCE_RUN: The reference run is subsampled and saved. The reference run is either the first entry of the simulation runs, or can be manually set with --reference-run IMPORT_RUNS: The provided simulation runs are loaded, and subsampled using the reference run. This process applies a nearest neighbor algorithm to match nodes between different meshes to compensate for different meshing. REDUCTION: The dimensionality reduction is performed. CLUSTERING: If clustering and outlier arguments are provided, the results will be further categorized. EXPORT_PLOT: The results are exported and saved as .html file. Note Your computer may slow down while using the tool. If you want to use other programs while waiting on the tool to finish, reduce the amount of cores with --n-processes Start and End stage Next, we will take a look at the --start-stage and --end-stage arguments. These allow to restart and end the command-line utility at certain points in the process. This is usefull if you don't want to repeat certain stages to save time, or want to end the process prematurly, e.g. don't want to generate the .html output. To set the desired start and end stage, use the the following keywords: REFERENCE_RUN IMPORT_RUNS REDUCTION CLUSTERING EXPORT_PLOT Example: $ python -m lasso/dimred/run \\ $ user/tutorial/plots \\ $ --project-dir user/tutorial/projectfolder \\ $ --start-stage REDUCTION \\ $ --end-stage CLUSTERING ==== OPEN - LASSO ==== \u250f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2513 \u2503 n-processes \u2503 5 \u2503 \u2502 reference-run \u2502 user/tutorial/plots/plot0.fz \u2502 \u2502 project-dir \u2502 user/tutorial/projectfolder \u2502 \u2502 # simul.-files \u2502 35 \u2502 \u2502 # excluded files \u2502 0 \u2502 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 ---- Running Routines ---- [14:45:28] Skipped import stage [14:45:28] Dimension Reduction ... [14:45:29] Dimension Reduction completed [14:45:29] No arguments provided for clustering, clustering aborted This process is much quicker, as the samples have already been loaded and subsampled. Note that this only works, if the stages before the selected start stage (here: REFERENCE_RUN and IMPORT_RUNS have already been processed before. Clustering and outlier detection The dimred tool has an integrated functionality to cluster your results and detect outliers. Following cluster algorithms from the scikit sklearn library have been implemented: kmeans SpectralClustering DBScan Optics Additionally, you have access to the following outlier detection algorithms from the same library: IsolationForest LocalOutlierFactor OneClassSVM These classes have additional optional arguments, specified in their respective documentation. Here is an example on how to find two clusters with kmeans and detect oultiers with LocalOutlierFactor: $ python -m lasso/dimred/run \\ $ user/tutorial/plots \\ $ --project-dir user/tutorial/projectfolder \\ $ --reference-run user/tuorial/referenceplot \\ $ --start-stage REDUCTION \\ $ --cluster-arg kmeans n_clusters int 2 \\ $ --outlier-args LocalOutlierFactor !!! note> The argument n_clusters is followed by its type and then its value! The type of a keyword can be referenced by the appropriate sklearn documentation. Some types are not supported, make sure that they are either float , int or str . We skip the import stage again and add the --cluster-args and --outlier-args arguments, followed by the desired algorithm and optional additional arguments and their values. Accessing the results All results, as well as the subsamples and reference subsample are saved in the project_buffer.hdf5 file. You can access these in your own python scripts: import numpy as np import h5py h5py_path = \"user/tutorial/project_buffer.hdf5\" h5file = h5py . File ( h5py_path ) # access the reference subsamples: ref_sample = h5file [ \"subsample\" ][:] # create a numpy array containing displacement of all subsamples # this returns an array of shape (samples, timesteps, nodes, dims) np . stack ( h5file [ \"subsampled_runs\" ][ entry ][:] for entry in h5file [ \"subsampled_runs\" ] . keys ()]) # create a numpy array containg the right reduced order basis for projection: v_rob = h5file [ \"v_rob\" ][:] # the subsampled runs are projected into the right reduced order basis and called betas: betas = np . stack ([ h5file [ \"betas\" ][ entry ][:] for entry in h5file [ \"betas\" ] . keys ()]) These betas are used for the visulatization and if specified, clustering or outlier detection. In the visulatization, only the first 3 coefficients (betas) and only the last timestamp are accounted for. If you have provided clustering and outlier detection arguments, you can also access the different clusters: cluster_index = np . stack ([ h5file [ \"betas\" ][ entry ] . attrs [ \"cluster\" ] for entry in h5file [ \"betas\" ] . keys () ]) beta_clusters = [] for cluster in range ( h5file [ \"betas\" ] . attrs [ \"nr_clusters\" ]): beta_clusters . append ( betas [ np . where ( cluster_index == cluster )[ 0 ]]) The beta_clusters list contains lists of betas for each cluster. If outlier arguments have been provided, the first list contains all detected outliers. FAQ How to specify a path to the displayed images? In the final HTML there is a menu on the left side. In it you can specify a path to the image folder, as well as the file-ending. Be aware: The names of the images must be a number starting at 0 .","title":"Command Line Tool"},{"location":"dimred/command_line_interface/#command-line-tool","text":"","title":"Command-Line Tool"},{"location":"dimred/command_line_interface/#what-does-this-command-line-tool-do","text":"This command-line tool creates compact overviews over tens, hundreds or even thousands of simulation runs. This is done by performing an unsupervised learning method on the displacement field of the simulations. The result is a report in the form of a 3D plot. Every point in the plot is a simulation result. If two points are very close their simulation results are also expected to be very similar. One can confirm by using images from every simulation (there is an option to specify the path to a folder with those images).","title":"What does this command-line tool do?"},{"location":"dimred/command_line_interface/#example-visualization-report","text":"This is a plot for dimensionality reduction of a rail getting crushed. This plot has many detail levels. Check out the following facts: There are two groups. The small group stands for samples buckling bottom . The big group represents buckling in the top area. There are two outliers Sample 143 is folding in the top and bottom. Sample 99 is folding in the middle. Similarity Axis The similarity axis X describes buckling top or bottom The similarity axis Y describes how much a sample gets compressed The samples are basically in a plane. The out of plane axis represents buckling not strictly top but also slightly in the lower end (zoom in). .navClosed { background-color: white; transition: 0.5s; display: flex; flex-direction: row; align-content: center; width: 100%; margin-bottom: 100px; } #plotDiv { width: 70%; } .imgDiv { width: 50%; display: flex; justify-content: center; align-items: center; } img.hoverIMG { /* height: 550px; */ } path = \"https://www.lasso.de/fileadmin/ressources/ml-embedding-images/\" imgType = \"png\" const plotDiv = document.getElementById(\"plotDiv\") function initDocument(){ /* const userWidth = plotDiv.offsetWidth / 2 const userHeight = \"550px\" plotDiv.style = `width: ${Math.floor( userWidth * 0.65) - 10}px; height: ${userHeight-30}px; z-index: 10;` plotDiv.style = `width: ${Math.floor( userWidth * 0.25) - 10}px; height: ${userHeight-30}px; z-index: 1;` */ } function resizeContents(){ /* let userWidth = plotDiv.offsetWidth / 2 const userHeight = \"550px\" plotDiv.style = `width: ${Math.floor( userWidth * 0.65) - 10}px; height: ${userHeight-30}px; z-index: 10;` plotDiv.style = `width: ${Math.floor( userWidth * 0.25) - 10}px; height: ${userHeight-30}px: z-index: 1;` Plotly.Plots.resize(plotDiv) */ } initDocument() const runIDs = [['1000', '100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '10', '110', '111', '112', '113', '114', '115', '116', '117', '118', '119', '11', '120', '121', '122', '123', '124', '125', '126', '127', '128', '129', '12', '130', '131', '132', '133', '134', '135', '136', '137', '138', '139', '13', '140', '141', '142', '143', '144', '145', '146', '147', '148', '149', '14', '150', '151', '152', '153', '154', '155', '156', '157', '158', '159', '15', '160', '161', '162', '163', '164', '165', '166', '167', '168', '169', '16', '170', '171', '172', '173', '174', '175', '176', '177', '178', '179', '17', '180', '181', '182', '183', '184', '185', '186', '187', '188', '189', '18', '190', '191', '192', '193', '194', '195', '196', 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-1808.20153, -1552.65673, -1497.01902, -1581.24905, -1586.56829, -1594.57584, -1629.18614, -1569.73538, -1603.22399], }, layout = { paper_bgcolor: 'rgba(0,0,0,0)', plot_bgcolor: 'rgba(0,0,0,0)', scene: { yaxis: { title: 'sx' }, xaxis: { title: 'sy' }, zaxis: { title: 'sz' }, }, margin: { t: 30, l: 0, r: 0, b: 0, }, } config = { showLink: false, modeBarButtonsToRemove: ['sendDataToCloud'], responsive: true, } Plotly.plot(plotDiv, [trace0, ], layout, config) plotDiv.on('plotly_hover', data =>{ const runID = runIDs[data.points[0].curveNumber][data.points[0].pointNumber] document.getElementById(\"hoverIMG\").src = path+`/${runID}.`+imgType }) window.onresize = () => { resizeContents() }","title":"Example Visualization Report"},{"location":"dimred/command_line_interface/#quick-start","text":"You can call the command-line tool as follows: $ python -m lasso.dimred.run --help usage: run.py [-h] --reference-run REFERENCE_RUN [--exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]]] [--start-stage [START_STAGE]] [--end-stage [END_STAGE]] --project-dir PROJECT_DIR [--embedding-images EMBEDDING_IMAGES] [--logfile-filepath [LOGFILE_FILEPATH]] [--n-processes [N_PROCESSES]] [--part-ids [PART_IDS [PART_IDS ...]]] [--timestep TIMESTEP] [--cluster-args [CLUSTER_ARGS [CLUSTER_ARGS ...]]] [--outlier-args [OUTLIER_ARGS [OUTLIER_ARGS ...]]] [simulation_runs [simulation_runs ...]] Python utility script for dimensionality reduction. positional arguments: simulation_runs Simulation runs or patterns used to search for simulation runs. optional arguments: -h, --help show this help message and exit --reference-run REFERENCE_RUN Set the reference run instead of using the first entry in simulation runs. --exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]] Runs to exclude from the analysis. --start-stage [START_STAGE] At which specific stage to start the analysis (REFERENCE_RUN, IMPORT_RUNS, REDUCTION, CLUSTERING, EXPORT_PLOT). --end-stage [END_STAGE] At which specific stage to stop the analysis (REFERENCE_RUN, IMPORT_RUNS, REDUCTION, CLUSTERING, EXPORT_PLOT). --project-dir PROJECT_DIR Project dir for temporary files. Must be specified to allow restart at specific steps --embedding-images EMBEDDING_IMAGES Path to folder containing images of runs. Sample names must be numbers --logfile-filepath [LOGFILE_FILEPATH] Path for the logfile. A file will be created automatically if a project dir is specified. --n-processes [N_PROCESSES] Number of processes to use (default: n_cpu-1). --part-ids [PART_IDS [PART_IDS ...]] Part ids to process. By default all are taken. --timestep TIMESTEP Sets timestep to analyse. Uses last timestep if not set. --cluster-args [CLUSTER_ARGS [CLUSTER_ARGS ...]] Arguments for clustering algorithms. If not set, clustering will be skipped. --outlier-args [OUTLIER_ARGS [OUTLIER_ARGS ...]] Arguments for outlier detection befor clustering. Following arguments are required for the analysis: simulation-runs --project-dir] simulation-runs can be either tagged individually or by using placeholders for entire directories (e.g. '*.fz') and subdirectories (e.g. './**/*.fz'). Warning Every run clears respective steps of the generated .hdf5 file of previous runs, as well as the logfile.","title":"Quick Start"},{"location":"dimred/command_line_interface/#tutorial","text":"In this tutorial, we will introduce the application of the command-line utility and explain some of the arguments. Make sure to have some similar D3plots (20 should already be fine). At first we will only apply the required arguments: $ python -m lasso/dimred/run \\ $ user/tutorial/plots/plot*.fz \\ $ --project-dir user/tutorial/projectfolder The first required argument is the filepath to the folder containing the simulation runs. In our case, all plots are contained in the same folder. If each plot is saved in its own folder, the command would look like this: $ python -m lasso/dimred/run \\ $ user/tutorial/plots*/plot.fz \\ $ --project-dir user/tutorial/projectfolder The --project-dir argument specifies the folder where the project data is saved. This will be a project_buffer.hdf5 file, a logfile , and the 3d_beta_plot[hh:mm:ss].html output. Note that for each run, corresponding entries in the project_buffer.hdf5 and the logfile will be overwritten. How to access the results in the project_buffer.hdf5 file will be discussed later. Your output should look similar to this: ==== OPEN - LASSO ==== \u250f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2513 \u2503 n-processes \u2503 5 \u2503 \u2502 reference-run \u2502 user/tuorial/plots/plot0.fz \u2502 \u2502 project-dir \u2502 user/tutorial/projectfolder \u2502 \u2502 # simul.-files \u2502 35 \u2502 \u2502 # excluded files \u2502 0 \u2502 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 ---- Running Routines ---- [14:25:56] Reference Subsample ... [14:26:04] Loadtime Reference subample: 8.020 [14:26:04] Total time for Reference subample: 8.080 [14:26:04] Reference subsample completed [14:26:04] Subsampling Subsampling plots ... \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 35 of 35; [14:29:03] Average Time per Subsampling Process: 24.76 [14:29:03] Average Loadtime per sample: 24.55 [14:29:03] Subsampling completed [14:29:03] Dimension Reduction ... [14:29:04] Dimension Reduction completed [14:29:04] No arguments provided for clustering, clustering aborted [14:29:04] Creating .html viz [14:29:05] Finished creating viz The output provides information about the different stages of the dimred tool, as well as some additional information. This allows you to keep track of the tools progress. The following 5 stages are run through: REFERENCE_RUN: The reference run is subsampled and saved. The reference run is either the first entry of the simulation runs, or can be manually set with --reference-run IMPORT_RUNS: The provided simulation runs are loaded, and subsampled using the reference run. This process applies a nearest neighbor algorithm to match nodes between different meshes to compensate for different meshing. REDUCTION: The dimensionality reduction is performed. CLUSTERING: If clustering and outlier arguments are provided, the results will be further categorized. EXPORT_PLOT: The results are exported and saved as .html file. Note Your computer may slow down while using the tool. If you want to use other programs while waiting on the tool to finish, reduce the amount of cores with --n-processes","title":"Tutorial"},{"location":"dimred/command_line_interface/#start-and-end-stage","text":"Next, we will take a look at the --start-stage and --end-stage arguments. These allow to restart and end the command-line utility at certain points in the process. This is usefull if you don't want to repeat certain stages to save time, or want to end the process prematurly, e.g. don't want to generate the .html output. To set the desired start and end stage, use the the following keywords: REFERENCE_RUN IMPORT_RUNS REDUCTION CLUSTERING EXPORT_PLOT Example: $ python -m lasso/dimred/run \\ $ user/tutorial/plots \\ $ --project-dir user/tutorial/projectfolder \\ $ --start-stage REDUCTION \\ $ --end-stage CLUSTERING ==== OPEN - LASSO ==== \u250f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2513 \u2503 n-processes \u2503 5 \u2503 \u2502 reference-run \u2502 user/tutorial/plots/plot0.fz \u2502 \u2502 project-dir \u2502 user/tutorial/projectfolder \u2502 \u2502 # simul.-files \u2502 35 \u2502 \u2502 # excluded files \u2502 0 \u2502 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 ---- Running Routines ---- [14:45:28] Skipped import stage [14:45:28] Dimension Reduction ... [14:45:29] Dimension Reduction completed [14:45:29] No arguments provided for clustering, clustering aborted This process is much quicker, as the samples have already been loaded and subsampled. Note that this only works, if the stages before the selected start stage (here: REFERENCE_RUN and IMPORT_RUNS have already been processed before.","title":"Start and End stage"},{"location":"dimred/command_line_interface/#clustering-and-outlier-detection","text":"The dimred tool has an integrated functionality to cluster your results and detect outliers. Following cluster algorithms from the scikit sklearn library have been implemented: kmeans SpectralClustering DBScan Optics Additionally, you have access to the following outlier detection algorithms from the same library: IsolationForest LocalOutlierFactor OneClassSVM These classes have additional optional arguments, specified in their respective documentation. Here is an example on how to find two clusters with kmeans and detect oultiers with LocalOutlierFactor: $ python -m lasso/dimred/run \\ $ user/tutorial/plots \\ $ --project-dir user/tutorial/projectfolder \\ $ --reference-run user/tuorial/referenceplot \\ $ --start-stage REDUCTION \\ $ --cluster-arg kmeans n_clusters int 2 \\ $ --outlier-args LocalOutlierFactor !!! note> The argument n_clusters is followed by its type and then its value! The type of a keyword can be referenced by the appropriate sklearn documentation. Some types are not supported, make sure that they are either float , int or str . We skip the import stage again and add the --cluster-args and --outlier-args arguments, followed by the desired algorithm and optional additional arguments and their values.","title":"Clustering and outlier detection"},{"location":"dimred/command_line_interface/#accessing-the-results","text":"All results, as well as the subsamples and reference subsample are saved in the project_buffer.hdf5 file. You can access these in your own python scripts: import numpy as np import h5py h5py_path = \"user/tutorial/project_buffer.hdf5\" h5file = h5py . File ( h5py_path ) # access the reference subsamples: ref_sample = h5file [ \"subsample\" ][:] # create a numpy array containing displacement of all subsamples # this returns an array of shape (samples, timesteps, nodes, dims) np . stack ( h5file [ \"subsampled_runs\" ][ entry ][:] for entry in h5file [ \"subsampled_runs\" ] . keys ()]) # create a numpy array containg the right reduced order basis for projection: v_rob = h5file [ \"v_rob\" ][:] # the subsampled runs are projected into the right reduced order basis and called betas: betas = np . stack ([ h5file [ \"betas\" ][ entry ][:] for entry in h5file [ \"betas\" ] . keys ()]) These betas are used for the visulatization and if specified, clustering or outlier detection. In the visulatization, only the first 3 coefficients (betas) and only the last timestamp are accounted for. If you have provided clustering and outlier detection arguments, you can also access the different clusters: cluster_index = np . stack ([ h5file [ \"betas\" ][ entry ] . attrs [ \"cluster\" ] for entry in h5file [ \"betas\" ] . keys () ]) beta_clusters = [] for cluster in range ( h5file [ \"betas\" ] . attrs [ \"nr_clusters\" ]): beta_clusters . append ( betas [ np . where ( cluster_index == cluster )[ 0 ]]) The beta_clusters list contains lists of betas for each cluster. If outlier arguments have been provided, the first list contains all detected outliers.","title":"Accessing the results"},{"location":"dimred/command_line_interface/#faq","text":"","title":"FAQ"},{"location":"dimred/command_line_interface/#how-to-specify-a-path-to-the-displayed-images","text":"In the final HTML there is a menu on the left side. In it you can specify a path to the image folder, as well as the file-ending. Be aware: The names of the images must be a number starting at 0 .","title":"How to specify a path to the displayed images?"},{"location":"dimred/plot_beta_clusters/","text":"Plot beta clusters Functions converting input list of clusters and corresponding ids into a .html page visualizing the results as a 3D Plot plot_clusters_js ( beta_cluster , id_cluster , save_path , img_path = None , mark_outliers = False , mark_timestamp = True , filename = '3d_beta_plot' , write = True , show_res = True ) Creates a .html visualization of input data Parameters: Name Type Description Default beta_cluster Sequence Numpy array containing beta clusters required id_cluster Union [ np . ndarray , Sequence ] Numpy array or sequence containing the ids samples in clusters. Must be of same structure as beta_clusters required save_path str Where to save the .html visualization required img_path Union [None, str ] Path to images of samples None mark_outliers bool Set to True if first entry in beta_cluster are outliers False mark_timestamp bool Set to True if name of visualization shall contain time of creation. If set to False, visualization will override previous file True filename str Name of .hmtl file '3d_beta_plot' write bool Set to False to not write .html file and return as string instead True show_res bool Set to False to not open resulting page in webbrowser True Returns: Name Type Description html_str_formatted str If write=False returns .hmtl file as string, else None","title":"plot_beta_clusters"},{"location":"dimred/plot_beta_clusters/#plot-beta-clusters","text":"Functions converting input list of clusters and corresponding ids into a .html page visualizing the results as a 3D Plot","title":"Plot beta clusters"},{"location":"dimred/plot_beta_clusters/#lasso.dimred.svd.plot_beta_clusters.plot_clusters_js","text":"Creates a .html visualization of input data Parameters: Name Type Description Default beta_cluster Sequence Numpy array containing beta clusters required id_cluster Union [ np . ndarray , Sequence ] Numpy array or sequence containing the ids samples in clusters. Must be of same structure as beta_clusters required save_path str Where to save the .html visualization required img_path Union [None, str ] Path to images of samples None mark_outliers bool Set to True if first entry in beta_cluster are outliers False mark_timestamp bool Set to True if name of visualization shall contain time of creation. If set to False, visualization will override previous file True filename str Name of .hmtl file '3d_beta_plot' write bool Set to False to not write .html file and return as string instead True show_res bool Set to False to not open resulting page in webbrowser True Returns: Name Type Description html_str_formatted str If write=False returns .hmtl file as string, else None","title":"plot_clusters_js()"},{"location":"dimred/pod_functions/","text":"POD Functions These functions are used for the proper orthogonal decomposition of samples calculate_v_and_betas ( stacked_sub_displ , progress_bar = None , task_id = None ) Calculates the right reduced order Basis V and up to 10 eigenvalues of the subsamples Parameters: Name Type Description Default stacked_sub_displ np . ndarray np.ndarray containing all subsampled displacements shape must be (samples, timesteps, nodes, dims) required Returns: Name Type Description v_big np . ndarray Reduced order basis to transform betas bag into subsamples betas np . ndarray Projected simulation runs err_msg str Error message if not enough samples where provided svd_step_and_dim ( s_mat , k = 10 ) Performs a svds operation on the two dimensional s_mat Parameters: Name Type Description Default s_mat np . ndarray 2D array on which the svds operation shall be performed required k The size of the POD 10 Returns: Name Type Description v ndarray Array containing the right reduced order basis","title":"pod_functions"},{"location":"dimred/pod_functions/#pod-functions","text":"These functions are used for the proper orthogonal decomposition of samples","title":"POD Functions"},{"location":"dimred/pod_functions/#lasso.dimred.svd.pod_functions.calculate_v_and_betas","text":"Calculates the right reduced order Basis V and up to 10 eigenvalues of the subsamples Parameters: Name Type Description Default stacked_sub_displ np . ndarray np.ndarray containing all subsampled displacements shape must be (samples, timesteps, nodes, dims) required Returns: Name Type Description v_big np . ndarray Reduced order basis to transform betas bag into subsamples betas np . ndarray Projected simulation runs err_msg str Error message if not enough samples where provided","title":"calculate_v_and_betas()"},{"location":"dimred/pod_functions/#lasso.dimred.svd.pod_functions.svd_step_and_dim","text":"Performs a svds operation on the two dimensional s_mat Parameters: Name Type Description Default s_mat np . ndarray 2D array on which the svds operation shall be performed required k The size of the POD 10 Returns: Name Type Description v ndarray Array containing the right reduced order basis","title":"svd_step_and_dim()"},{"location":"dimred/subsampling_methods/","text":"Subsampling Methods Methods used to perform subsampling of simulation runs. create_reference_subsample ( load_path , parts , nr_samples = 2000 ) Loads the D3plot at load_path, extracts the node coordinates of part 13, returns a random subsample of these nodes Parameters: Name Type Description Default load_path str Filepath of the D3plot required parts Sequence [ int ] List of parts to be extracted required nr_samples How many nodes are subsampled 2000 Returns: Name Type Description reference_sample np . array Numpy array containing the reference sample t_total float Total time required for subsampling t_load float Time required to load plot err_msg str If an error occurs, a string containing the error is returned instead remap_random_subsample ( load_path , parts , reference_subsample ) Remaps the specified sample onto a new mesh provided by reference subsampl, using knn matching Parameters: Name Type Description Default load_path str Filepath of the desired D3plot required parts list Which parts shall be extracted from the D3plot required reference_subsample np . ndarray Numpy array containing the reference nodes required Returns: Name Type Description subsampled_displacement np . ndarray Subsampled displacement of provided sample t_total float Total time required to perform subsampling t_load float Time required to load D3plot err_msg str If an error occured, a string is returned instead containing the error","title":"subsampling_methods"},{"location":"dimred/subsampling_methods/#subsampling-methods","text":"Methods used to perform subsampling of simulation runs.","title":"Subsampling Methods"},{"location":"dimred/subsampling_methods/#lasso.dimred.svd.subsampling_methods.create_reference_subsample","text":"Loads the D3plot at load_path, extracts the node coordinates of part 13, returns a random subsample of these nodes Parameters: Name Type Description Default load_path str Filepath of the D3plot required parts Sequence [ int ] List of parts to be extracted required nr_samples How many nodes are subsampled 2000 Returns: Name Type Description reference_sample np . array Numpy array containing the reference sample t_total float Total time required for subsampling t_load float Time required to load plot err_msg str If an error occurs, a string containing the error is returned instead","title":"create_reference_subsample()"},{"location":"dimred/subsampling_methods/#lasso.dimred.svd.subsampling_methods.remap_random_subsample","text":"Remaps the specified sample onto a new mesh provided by reference subsampl, using knn matching Parameters: Name Type Description Default load_path str Filepath of the desired D3plot required parts list Which parts shall be extracted from the D3plot required reference_subsample np . ndarray Numpy array containing the reference nodes required Returns: Name Type Description subsampled_displacement np . ndarray Subsampled displacement of provided sample t_total float Total time required to perform subsampling t_load float Time required to load D3plot err_msg str If an error occured, a string is returned instead containing the error","title":"remap_random_subsample()"},{"location":"dimred/svd/","text":"Module lasso.dimred.svd Module containing the methods and functions used by DimredRun subsampling_methods pod_functions clustering_betas plot_beta_clusters KeywordTypes","title":"Description"},{"location":"dimred/svd/#module-lassodimredsvd","text":"Module containing the methods and functions used by DimredRun subsampling_methods pod_functions clustering_betas plot_beta_clusters KeywordTypes","title":"Module lasso.dimred.svd"},{"location":"dyna/","text":"lasso.dyna The dyna module contains classes to read, write and display LS-Dyna result files. For a detailed list of features, see the following list: D3plot Read & Write Beam, Shell, Solid, TShell Results Element/Node deletion Part Metadata Material Type Data Rigid Body Data Rigid Road Data SPH Particles Plot shell-based parts as 3D HTML Binout Read & Write Note The D3plot reader can process almost every structural result or results connected to it such as airbag results. Multi-Solver data though and connected results are not supported. D3plot Example >>> from lasso.dyna import D3plot , ArrayType , FilterType >>> # read a file (zero-copy reading of everything) >>> d3plot = D3plot ( \"path/to/d3plot\" ) >>> # read file >>> # - buffered (less memory usage) >>> # - only node displacements (safes memory) >>> # - read only first and last state >>> d3plot = D3plot ( \"path/to/d3plot\" , >>> state_array_filter = [ \"node_displacement\" ], >>> buffered_reading = True , >>> state_filter = { 0 , - 1 }) >>> # and of course femzipped files >>> d3plot = D3plot ( \"path/to/d3plot.fz\" ) >>> # get arrays (see docs of ArrayType for shape info) >>> disp = d3plot . arrays [ \"node_displacement\" ] >>> disp . shape ( 34 , 51723 , 3 ) >>> # this is safer and has auto-completion >>> disp = d3plot . arrays [ ArrayType . node_displacement ] >>> # filter elements for certain parts >>> pstrain = d3plot . arrays [ ArrayType . element_shell_effective_plastic_strain ] >>> pstrain . shape ( 34 , 56372 , 3 ) >>> mask = d3plot . get_part_filter ( FilterType . SHELL , [ 44 , 45 ]) >>> # filter elements with mask >>> pstrain [:, mask ] . shape ( 34 , 17392 , 3 ) >>> # create a standalone html plot >>> d3plot . plot ()","title":"Overview"},{"location":"dyna/#lassodyna","text":"The dyna module contains classes to read, write and display LS-Dyna result files. For a detailed list of features, see the following list: D3plot Read & Write Beam, Shell, Solid, TShell Results Element/Node deletion Part Metadata Material Type Data Rigid Body Data Rigid Road Data SPH Particles Plot shell-based parts as 3D HTML Binout Read & Write Note The D3plot reader can process almost every structural result or results connected to it such as airbag results. Multi-Solver data though and connected results are not supported.","title":"lasso.dyna"},{"location":"dyna/#d3plot-example","text":">>> from lasso.dyna import D3plot , ArrayType , FilterType >>> # read a file (zero-copy reading of everything) >>> d3plot = D3plot ( \"path/to/d3plot\" ) >>> # read file >>> # - buffered (less memory usage) >>> # - only node displacements (safes memory) >>> # - read only first and last state >>> d3plot = D3plot ( \"path/to/d3plot\" , >>> state_array_filter = [ \"node_displacement\" ], >>> buffered_reading = True , >>> state_filter = { 0 , - 1 }) >>> # and of course femzipped files >>> d3plot = D3plot ( \"path/to/d3plot.fz\" ) >>> # get arrays (see docs of ArrayType for shape info) >>> disp = d3plot . arrays [ \"node_displacement\" ] >>> disp . shape ( 34 , 51723 , 3 ) >>> # this is safer and has auto-completion >>> disp = d3plot . arrays [ ArrayType . node_displacement ] >>> # filter elements for certain parts >>> pstrain = d3plot . arrays [ ArrayType . element_shell_effective_plastic_strain ] >>> pstrain . shape ( 34 , 56372 , 3 ) >>> mask = d3plot . get_part_filter ( FilterType . SHELL , [ 44 , 45 ]) >>> # filter elements with mask >>> pstrain [:, mask ] . shape ( 34 , 17392 , 3 ) >>> # create a standalone html plot >>> d3plot . plot ()","title":"D3plot Example"},{"location":"dyna/ArrayType/","text":"ArrayType Specifies the names for specific arrays Enums from this class shall be used as a preferred practice instead of the string array names to ensure compatibility. Attributes: Name Type Description global_timesteps str array shape: (n_timesteps) global_kinetic_energy str array shape: (n_timesteps) global_internal_energy str array shape: (n_timesteps) global_total_energy str array shape: (n_timesteps) global_velocity str array shape: (n_timesteps) node_ids str array shape: (n_nodes) node_coordinates str array shape: (n_nodes, x_y_z) node_displacement str array shape: (n_states, n_nodes, x_y_z) node_velocity str array shape: (n_states, n_nodes, x_y_z) node_acceleration str array shape: (n_states, n_nodes, x_y_z) node_is_alive str array shape: (n_states, n_nodes) node_temperature str array shape: (n_states, n_nodes) or (n_states, n_nodes, 3) node_heat_flux str array shape: (n_states, n_nodes, 3) node_mass_scaling str array shape: (n_states, n_nodes) node_temperature_gradient str array shape: (n_states, n_nodes) node_residual_forces str array shape: (n_states, n_nodes, fx_fy_fz) node_residual_moments str array shape: (n_states, n_nodes, mx_my_mz) element_solid_node_indexes str array shape: (n_solids, 8) element_solid_part_indexes str array shape: (n_solids) element_solid_ids str array shape: (n_solids) element_solid_thermal_data str array shape: (n_states, n_solids, n_solids_thermal_vars) element_solid_stress str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_effective_plastic_strain str array shape: (n_states, n_solid_layers, n_solids) element_solid_history_variables str array shape: (n_states, n_solids, n_solid_layers, n_solids_history_vars) element_solid_strain str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_plastic_strain_tensor str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_thermal_strain_tensor str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_is_alive str array shape: (n_states, n_solids) element_solid_extra_nodes str array shape: (n_solids, 2) element_solid_node10_extra_node_indexes str array shape: (n_solids, 2) element_solid_node20_element_index str array shape: (n_node20_solids) element_solid_node20_extra_node_indexes str array shape: (n_node20_solids, 12) element_solid_node27_element_index str array shape: (n_node27_solids) element_solid_node27_extra_node_indexes str array shape: (n_node27_solids, 27) element_solid_node21_penta_element_index str array shape: (n_node21p_solids) element_solid_node21_penta_extra_node_indexes str array shape: (n_node21p_solids, 21) element_solid_node15_tetras_element_index str array shape: (n_node15t_solids) element_solid_node15_tetras_extra_node_indexes str array shape: (n_node15t_solids, 7) element_solid_node20_tetras_element_index str array shape: (n_node20t_solids) element_solid_node20_tetras_extra_node_indexes str array shape: (n_node20t_solids, 20) element_solid_node40_pentas_element_index str array shape: (n_node40h_solids) element_solid_node40_pentas_extra_node_indexes str array shape: (n_node40h_solids, 40) element_solid_node64_hexas_element_index str array shape: (n_node64h_solids) element_solid_node64_hexas_extra_node_indexes str array shape: (n_node64h_solids, 64) element_tshell_part_indexes str array shape: (n_tshells) element_tshell_node_indexes str array shape: (n_tshells, 8) element_tshell_ids str array shape: (n_tshells) element_tshell_stress str array shape: (n_states, n_tshells, n_tshells_layers, xx_yy_zz_xy_yz_xz) element_tshell_effective_plastic_strain str array shape: (n_states, n_tshells, n_tshells_layers) element_tshell_history_variables str array shape: (n_states, n_tshells, n_tshells_layers, xx_yy_zz_xy_yz_xz) element_tshell_is_alive str array shape: (n_states, n_tshells) element_tshell_strain str array shape: (n_states, n_tshells, upper_lower, xx_yy_zz_xy_yz_xz) element_beam_part_indexes str array shape: (n_beams) element_beam_node_indexes str array shape: (n_beams, 5) element_beam_ids str array shape: (n_beams) element_beam_axial_force str array shape: (n_states, n_beams) element_beam_shear_force str array shape: (n_states, n_beams, s_t) element_beam_bending_moment str array shape: (n_states, n_beams, s_t) element_beam_torsion_moment str array shape: (n_states, n_beams) element_beam_shear_stress str array shape: (n_states, n_beams, n_beams_layers, rs_rt) element_beam_axial_stress str array shape: (n_states, n_beams, n_beams_layers) element_beam_plastic_strain str array shape: (n_states, n_beams, n_beams_layers) element_beam_axial_strain str array shape: (n_states, n_beams, n_beams_layers) element_beam_history_vars str array shape: (n_states, n_beams, n_beams_layers+3, n_beams_history_vars) element_beam_is_alive str array shape: (n_states, n_beams) element_shell_part_indexes str array shape (n_shells, 4) element_shell_node_indexes str array shape (n_shells) element_shell_ids str array shape (n_shells) element_shell_stress str array shape (n_states, n_shells_non_rigid, n_shell_layers, xx_yy_zz_xy_yz_xz) element_shell_effective_plastic_strain str array shape (n_states, n_shells_non_rigid, n_shell_layers) element_shell_history_vars str array shape (n_states, n_shells_non_rigid, n_shell_layers, n_shell_history_vars) element_shell_bending_moment str array shape (n_states, n_shells_non_rigid, mx_my_mxy) element_shell_shear_force str array shape (n_states, n_shells_non_rigid, qx_qy) element_shell_normal_force str array shape (n_states, n_shells_non_rigid, nx_ny_nxy) element_shell_thickness str array shape (n_states, n_shells_non_rigid) element_shell_unknown_variables str array shape (n_states, n_shells_non_rigid, 2) element_shell_internal_energy str array shape (n_states, n_shells_non_rigid) element_shell_strain str array shape (n_states, n_shells_non_rigid, upper_lower, xx_yy_zz_xy_yz_xz) element_shell_is_alive str array shape (n_states, n_shells_non_rigid) element_shell_node8_extra_node_indexes str array shape (n_shells, 4) element_shell_node8_element_index str array shape: (n_shells) element_shell_plastic_strain_tensor str array shape(n_states, n_shells_non_rigid, n_layers, 6) element_shell_thermal_strain_tensor str array shape(n_states, n_shells_non_rigid, 6) part_material_type str array shape: (n_parts) part_ids str array shape: (n_parts) part_ids_unordered str array shape: (n_parts) part_ids_cross_references str array shape: (n_parts) part_titles str array shape: (n_parts) part_titles_ids str array shape: (n_parts) part_internal_energy str array shape: (n_states, n_parts) part_kinetic_energy str array shape: (n_states, n_parts) part_velocity str array shape: (n_states, n_parts, x_y_z) part_mass str array shape: (n_states, n_parts) part_hourglass_energy str array shape: (n_states, n_parts) sph_node_indexes str array shape: (n_sph_nodes) sph_node_material_index str array shape: (n_sph_nodes) sph_is_alive str array shape: (n_states, n_sph_particles) sph_radius str array shape: (n_states, n_sph_particles) sph_pressure str array shape: (n_states, n_sph_particles) sph_stress str array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz) sph_effective_plastic_strain str array shape: (n_states, n_sph_particles) sph_density str array shape: (n_states, n_sph_particles) sph_internal_energy str array shape: (n_states, n_sph_particles) sph_n_neighbors str array shape: (n_states, n_sph_particles) sph_strain str array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz) sph_strainrate str array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz) sph_mass str array shape: (n_states, n_sph_particles) sph_deletion str array shape: (n_states, n_sph_particles) sph_history_vars str array shape: (n_states, n_sph_particles, n_sph_history_vars) airbag_variable_names str array shape: (n_variables) airbag_variable_types str array shape: (n_variables) airbags_first_particle_id str array shape: (n_airbags) airbags_n_particles str array shape: (n_airbags) airbags_ids str array shape: (n_airbags) airbags_n_gas_mixtures str array shape: (n_airbags) airbags_n_chambers str array shape: (n_airbags) airbag_n_active_particles str array shape: (n_states, n_airbags) airbag_bag_volume str array shape: (n_states, n_airbags) airbag_particle_gas_id str array shape: (n_states, n_airbag_particles) airbag_particle_chamber_id str array shape: (n_states, n_airbag_particles) airbag_particle_leakage str array shape: (n_states, n_airbag_particles) airbag_particle_mass str array shape: (n_states, n_airbag_particles) airbag_particle_radius str array shape: (n_states, n_airbag_particles) airbag_particle_spin_energy str array shape: (n_states, n_airbag_particles) airbag_particle_translation_energy str array shape: (n_states, n_airbag_particles) airbag_particle_nearest_segment_distance str array shape: (n_states, n_airbag_particles) airbag_particle_position str array shape: (n_states, n_airbag_particles, x_y_z) airbag_particle_velocity str array shape: (n_states, n_airbag_particles, x_y_z) rigid_road_node_ids str array shape: (rigid_road_n_nodes) rigid_road_node_coordinates str array shape: (rigid_road_n_nodes, x_y_z) rigid_road_ids str array shape: (n_roads) rigid_road_n_segments str array shape: (n_roads) rigid_road_segment_node_ids str list!: (n_roads, 4*n_road_segments) rigid_road_segment_road_id str list!: (n_roads, n_road_segments) rigid_road_displacement str array shape: (n_states, n_roads, x_y_z) rigid_road_velocity str array shape: (n_states, n_roads, x_y_z) rigid_body_part_indexes str array shape: (n_rigid_bodies) rigid_body_n_nodes str array shape: (n_rigid_bodies) rigid_body_node_indexes_list str list!: (n_rigid_bodies, n_rigid_body_nodes (differs)) rigid_body_n_active_nodes str array shape: (n_rigid_bodies) rigid_body_active_node_indexes_list str list!: (n_rigid_bodies, n_rigid_body_nodes (differs)) rigid_body_coordinates str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_rotation_matrix str array shape: (n_states, n_rigid_bodies, 9) rigid_body_velocity str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_rot_velocity str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_acceleration str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_rot_acceleration str array shape: (n_states, n_rigid_bodies, x_y_z) contact_title_ids str array shape: (n_contacts) contact_titles str array shape: (n_contacts) ale_material_ids str array shape: (n_ale_material) rigid_wall_force str array shape: (n_states, n_rigid_walls) rigid_wall_position str array shape: (n_states, n_rigid_walls, x_y_z) get_state_array_names () staticmethod Get the names of all state arrays Returns: state_array_names: List[str] list of state array names","title":"ArrayType"},{"location":"dyna/ArrayType/#arraytype","text":"Specifies the names for specific arrays Enums from this class shall be used as a preferred practice instead of the string array names to ensure compatibility. Attributes: Name Type Description global_timesteps str array shape: (n_timesteps) global_kinetic_energy str array shape: (n_timesteps) global_internal_energy str array shape: (n_timesteps) global_total_energy str array shape: (n_timesteps) global_velocity str array shape: (n_timesteps) node_ids str array shape: (n_nodes) node_coordinates str array shape: (n_nodes, x_y_z) node_displacement str array shape: (n_states, n_nodes, x_y_z) node_velocity str array shape: (n_states, n_nodes, x_y_z) node_acceleration str array shape: (n_states, n_nodes, x_y_z) node_is_alive str array shape: (n_states, n_nodes) node_temperature str array shape: (n_states, n_nodes) or (n_states, n_nodes, 3) node_heat_flux str array shape: (n_states, n_nodes, 3) node_mass_scaling str array shape: (n_states, n_nodes) node_temperature_gradient str array shape: (n_states, n_nodes) node_residual_forces str array shape: (n_states, n_nodes, fx_fy_fz) node_residual_moments str array shape: (n_states, n_nodes, mx_my_mz) element_solid_node_indexes str array shape: (n_solids, 8) element_solid_part_indexes str array shape: (n_solids) element_solid_ids str array shape: (n_solids) element_solid_thermal_data str array shape: (n_states, n_solids, n_solids_thermal_vars) element_solid_stress str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_effective_plastic_strain str array shape: (n_states, n_solid_layers, n_solids) element_solid_history_variables str array shape: (n_states, n_solids, n_solid_layers, n_solids_history_vars) element_solid_strain str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_plastic_strain_tensor str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_thermal_strain_tensor str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_is_alive str array shape: (n_states, n_solids) element_solid_extra_nodes str array shape: (n_solids, 2) element_solid_node10_extra_node_indexes str array shape: (n_solids, 2) element_solid_node20_element_index str array shape: (n_node20_solids) element_solid_node20_extra_node_indexes str array shape: (n_node20_solids, 12) element_solid_node27_element_index str array shape: (n_node27_solids) element_solid_node27_extra_node_indexes str array shape: (n_node27_solids, 27) element_solid_node21_penta_element_index str array shape: (n_node21p_solids) element_solid_node21_penta_extra_node_indexes str array shape: (n_node21p_solids, 21) element_solid_node15_tetras_element_index str array shape: (n_node15t_solids) element_solid_node15_tetras_extra_node_indexes str array shape: (n_node15t_solids, 7) element_solid_node20_tetras_element_index str array shape: (n_node20t_solids) element_solid_node20_tetras_extra_node_indexes str array shape: (n_node20t_solids, 20) element_solid_node40_pentas_element_index str array shape: (n_node40h_solids) element_solid_node40_pentas_extra_node_indexes str array shape: (n_node40h_solids, 40) element_solid_node64_hexas_element_index str array shape: (n_node64h_solids) element_solid_node64_hexas_extra_node_indexes str array shape: (n_node64h_solids, 64) element_tshell_part_indexes str array shape: (n_tshells) element_tshell_node_indexes str array shape: (n_tshells, 8) element_tshell_ids str array shape: (n_tshells) element_tshell_stress str array shape: (n_states, n_tshells, n_tshells_layers, xx_yy_zz_xy_yz_xz) element_tshell_effective_plastic_strain str array shape: (n_states, n_tshells, n_tshells_layers) element_tshell_history_variables str array shape: (n_states, n_tshells, n_tshells_layers, xx_yy_zz_xy_yz_xz) element_tshell_is_alive str array shape: (n_states, n_tshells) element_tshell_strain str array shape: (n_states, n_tshells, upper_lower, xx_yy_zz_xy_yz_xz) element_beam_part_indexes str array shape: (n_beams) element_beam_node_indexes str array shape: (n_beams, 5) element_beam_ids str array shape: (n_beams) element_beam_axial_force str array shape: (n_states, n_beams) element_beam_shear_force str array shape: (n_states, n_beams, s_t) element_beam_bending_moment str array shape: (n_states, n_beams, s_t) element_beam_torsion_moment str array shape: (n_states, n_beams) element_beam_shear_stress str array shape: (n_states, n_beams, n_beams_layers, rs_rt) element_beam_axial_stress str array shape: (n_states, n_beams, n_beams_layers) element_beam_plastic_strain str array shape: (n_states, n_beams, n_beams_layers) element_beam_axial_strain str array shape: (n_states, n_beams, n_beams_layers) element_beam_history_vars str array shape: (n_states, n_beams, n_beams_layers+3, n_beams_history_vars) element_beam_is_alive str array shape: (n_states, n_beams) element_shell_part_indexes str array shape (n_shells, 4) element_shell_node_indexes str array shape (n_shells) element_shell_ids str array shape (n_shells) element_shell_stress str array shape (n_states, n_shells_non_rigid, n_shell_layers, xx_yy_zz_xy_yz_xz) element_shell_effective_plastic_strain str array shape (n_states, n_shells_non_rigid, n_shell_layers) element_shell_history_vars str array shape (n_states, n_shells_non_rigid, n_shell_layers, n_shell_history_vars) element_shell_bending_moment str array shape (n_states, n_shells_non_rigid, mx_my_mxy) element_shell_shear_force str array shape (n_states, n_shells_non_rigid, qx_qy) element_shell_normal_force str array shape (n_states, n_shells_non_rigid, nx_ny_nxy) element_shell_thickness str array shape (n_states, n_shells_non_rigid) element_shell_unknown_variables str array shape (n_states, n_shells_non_rigid, 2) element_shell_internal_energy str array shape (n_states, n_shells_non_rigid) element_shell_strain str array shape (n_states, n_shells_non_rigid, upper_lower, xx_yy_zz_xy_yz_xz) element_shell_is_alive str array shape (n_states, n_shells_non_rigid) element_shell_node8_extra_node_indexes str array shape (n_shells, 4) element_shell_node8_element_index str array shape: (n_shells) element_shell_plastic_strain_tensor str array shape(n_states, n_shells_non_rigid, n_layers, 6) element_shell_thermal_strain_tensor str array shape(n_states, n_shells_non_rigid, 6) part_material_type str array shape: (n_parts) part_ids str array shape: (n_parts) part_ids_unordered str array shape: (n_parts) part_ids_cross_references str array shape: (n_parts) part_titles str array shape: (n_parts) part_titles_ids str array shape: (n_parts) part_internal_energy str array shape: (n_states, n_parts) part_kinetic_energy str array shape: (n_states, n_parts) part_velocity str array shape: (n_states, n_parts, x_y_z) part_mass str array shape: (n_states, n_parts) part_hourglass_energy str array shape: (n_states, n_parts) sph_node_indexes str array shape: (n_sph_nodes) sph_node_material_index str array shape: (n_sph_nodes) sph_is_alive str array shape: (n_states, n_sph_particles) sph_radius str array shape: (n_states, n_sph_particles) sph_pressure str array shape: (n_states, n_sph_particles) sph_stress str array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz) sph_effective_plastic_strain str array shape: (n_states, n_sph_particles) sph_density str array shape: (n_states, n_sph_particles) sph_internal_energy str array shape: (n_states, n_sph_particles) sph_n_neighbors str array shape: (n_states, n_sph_particles) sph_strain str array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz) sph_strainrate str array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz) sph_mass str array shape: (n_states, n_sph_particles) sph_deletion str array shape: (n_states, n_sph_particles) sph_history_vars str array shape: (n_states, n_sph_particles, n_sph_history_vars) airbag_variable_names str array shape: (n_variables) airbag_variable_types str array shape: (n_variables) airbags_first_particle_id str array shape: (n_airbags) airbags_n_particles str array shape: (n_airbags) airbags_ids str array shape: (n_airbags) airbags_n_gas_mixtures str array shape: (n_airbags) airbags_n_chambers str array shape: (n_airbags) airbag_n_active_particles str array shape: (n_states, n_airbags) airbag_bag_volume str array shape: (n_states, n_airbags) airbag_particle_gas_id str array shape: (n_states, n_airbag_particles) airbag_particle_chamber_id str array shape: (n_states, n_airbag_particles) airbag_particle_leakage str array shape: (n_states, n_airbag_particles) airbag_particle_mass str array shape: (n_states, n_airbag_particles) airbag_particle_radius str array shape: (n_states, n_airbag_particles) airbag_particle_spin_energy str array shape: (n_states, n_airbag_particles) airbag_particle_translation_energy str array shape: (n_states, n_airbag_particles) airbag_particle_nearest_segment_distance str array shape: (n_states, n_airbag_particles) airbag_particle_position str array shape: (n_states, n_airbag_particles, x_y_z) airbag_particle_velocity str array shape: (n_states, n_airbag_particles, x_y_z) rigid_road_node_ids str array shape: (rigid_road_n_nodes) rigid_road_node_coordinates str array shape: (rigid_road_n_nodes, x_y_z) rigid_road_ids str array shape: (n_roads) rigid_road_n_segments str array shape: (n_roads) rigid_road_segment_node_ids str list!: (n_roads, 4*n_road_segments) rigid_road_segment_road_id str list!: (n_roads, n_road_segments) rigid_road_displacement str array shape: (n_states, n_roads, x_y_z) rigid_road_velocity str array shape: (n_states, n_roads, x_y_z) rigid_body_part_indexes str array shape: (n_rigid_bodies) rigid_body_n_nodes str array shape: (n_rigid_bodies) rigid_body_node_indexes_list str list!: (n_rigid_bodies, n_rigid_body_nodes (differs)) rigid_body_n_active_nodes str array shape: (n_rigid_bodies) rigid_body_active_node_indexes_list str list!: (n_rigid_bodies, n_rigid_body_nodes (differs)) rigid_body_coordinates str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_rotation_matrix str array shape: (n_states, n_rigid_bodies, 9) rigid_body_velocity str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_rot_velocity str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_acceleration str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_rot_acceleration str array shape: (n_states, n_rigid_bodies, x_y_z) contact_title_ids str array shape: (n_contacts) contact_titles str array shape: (n_contacts) ale_material_ids str array shape: (n_ale_material) rigid_wall_force str array shape: (n_states, n_rigid_walls) rigid_wall_position str array shape: (n_states, n_rigid_walls, x_y_z)","title":"ArrayType"},{"location":"dyna/ArrayType/#lasso.dyna.array_type.ArrayType.get_state_array_names","text":"Get the names of all state arrays","title":"get_state_array_names()"},{"location":"dyna/ArrayType/#lasso.dyna.array_type.ArrayType.get_state_array_names--returns","text":"state_array_names: List[str] list of state array names","title":"Returns:"},{"location":"dyna/Binout/","text":"Binout There is a youtube tutorial available for this class: This class is meant to read binouts from LS-Dyna Parameters: Name Type Description Default filepath str Path to the binout to read. May contain * (glob) for selecting multiple files. required Attributes: Name Type Description filelist List [ str ] List of files which are opened. lsda: Lsda The underlying LS-Dyna binout reader instance from code from LSTC. lsda_root: Symbol Root lsda symbol which is like a root directory to traverse the content of the binout file. Notes This class is only a utility wrapper for Lsda from LSTC. Examples: >>> binout = Binout(\"path/to/binout\") __init__ ( filepath ) Constructor for a binout Parameters: Name Type Description Default filepath str path to the binout or pattern required Notes The class loads the file given in the filepath. By giving a search pattern such as: \"binout*\", all files with that pattern will be loaded. Examples: >>> # reads a single binout >>> binout = Binout(\"path/to/binout0000\") >>> binout.filelist ['path/to/binout0000'] >>> # reads multiple files >>> binout = Binout(\"path/to/binout*\") >>> binout.filelist ['path/to/binout0000','path/to/binout0001'] as_df ( * args ) read data and convert to pandas dataframe if possible Parameters: Name Type Description Default *args internal path in the folder structure of the binout () Returns: Name Type Description df pandas . DataFrame data converted to pandas dataframe Raises: Type Description ValueError if the data cannot be converted to a pandas dataframe Examples: >>> from lasso.dyna import Binout >>> binout = Binout('path/to/binout') Read a time-dependent array. >>> binout.as_df('glstat', 'eroded_kinetic_energy') time 0.00000 0.000000 0.19971 0.000000 0.39942 0.000000 0.59976 0.000000 0.79947 0.000000 ... 119.19978 105.220786 119.39949 105.220786 119.59983 105.220786 119.79954 105.220786 119.99988 105.220786 Name: eroded_kinetic_energy, Length: 601, dtype: float64 Read a time and id-dependent array. >>> binout.as_df('secforc', 'x_force') 1 2 3 ... 33 34 time . 0.00063 2.168547e-16 2.275245e-15 -3.118639e-14 ... -5.126108e-13 4.592941e-16 0.20034 3.514243e-04 3.797908e-04 -1.701294e-03 ... 2.530416e-11 2.755493e-07 0.40005 3.052490e-03 3.242951e-02 -2.699926e-02 ... 6.755315e-06 -2.608923e-03 0.60039 -1.299816e-02 4.930999e-02 -1.632376e-02 ... 8.941705e-05 -2.203455e-02 0.80010 1.178485e-02 4.904512e-02 -9.740204e-03 ... 5.648263e-05 -6.999854e-02 ... ... ... ... ... ... ... 119.00007 9.737679e-01 -8.833702e+00 1.298964e+01 ... -9.977377e-02 7.883521e+00 119.20041 7.421170e-01 -8.849411e+00 1.253505e+01 ... -1.845916e-01 7.791409e+00 119.40012 9.946615e-01 -8.541475e+00 1.188757e+01 ... -3.662228e-02 7.675800e+00 119.60046 9.677638e-01 -8.566695e+00 1.130774e+01 ... 5.144208e-02 7.273052e+00 119.80017 1.035165e+00 -8.040828e+00 1.124044e+01 ... -1.213450e-02 7.188395e+00 read ( * path ) Read all data from Binout (top to low level) Parameters: Name Type Description Default path internal path in the folder structure of the binout () Returns: Name Type Description ret Union [ List [ str ], str , np . ndarray ] list of subdata within the folder or data itself (array or string) Notes This function is used to read any data from the binout. It has been used to make the access to the data more comfortable. The return type depends on the given path: - `binout.read()`: `List[str] names of directories (in binout) - `binout.read(dir)`: `List[str]` names of variables or subdirs - `binout.read(dir1, ..., variable)`: np.array data If you have multiple outputs with different ids (e.g. in nodout for multiple nodes) then don't forget to read the id array for identification or id-labels. Examples: >>> from lasso.dyna import Binout >>> binout = Binout(\"test/binout\") >>> # get top dirs >>> binout.read() ['swforc'] >>> binout.read(\"swforc\") ['title', 'failure', 'ids', 'failure_time', ...] >>> binout.read(\"swforc\",\"shear\").shape (321L, 26L) >>> binout.read(\"swforc\",\"ids\").shape (26L,) >>> binout.read(\"swforc\",\"ids\") array([52890, 52891, 52892, ...]) >>> # read a string value >>> binout.read(\"swforc\",\"date\") '11/05/2013' save_hdf5 ( filepath , compression = 'gzip' ) Save a binout as HDF5 Parameters: Name Type Description Default filepath path where the HDF5 shall be saved required compression compression technique (see h5py docs) 'gzip' Examples: >>> binout = Binout(\"path/to/binout\") >>> binout.save_hdf5(\"path/to/binout.h5\")","title":"Binout"},{"location":"dyna/Binout/#binout","text":"There is a youtube tutorial available for this class: This class is meant to read binouts from LS-Dyna Parameters: Name Type Description Default filepath str Path to the binout to read. May contain * (glob) for selecting multiple files. required Attributes: Name Type Description filelist List [ str ] List of files which are opened. lsda: Lsda The underlying LS-Dyna binout reader instance from code from LSTC. lsda_root: Symbol Root lsda symbol which is like a root directory to traverse the content of the binout file.","title":"Binout"},{"location":"dyna/Binout/#lasso.dyna.binout.Binout--notes","text":"This class is only a utility wrapper for Lsda from LSTC. Examples: >>> binout = Binout(\"path/to/binout\")","title":"Notes"},{"location":"dyna/Binout/#lasso.dyna.binout.Binout.__init__","text":"Constructor for a binout Parameters: Name Type Description Default filepath str path to the binout or pattern required","title":"__init__()"},{"location":"dyna/Binout/#lasso.dyna.binout.Binout.__init__--notes","text":"The class loads the file given in the filepath. By giving a search pattern such as: \"binout*\", all files with that pattern will be loaded. Examples: >>> # reads a single binout >>> binout = Binout(\"path/to/binout0000\") >>> binout.filelist ['path/to/binout0000'] >>> # reads multiple files >>> binout = Binout(\"path/to/binout*\") >>> binout.filelist ['path/to/binout0000','path/to/binout0001']","title":"Notes"},{"location":"dyna/Binout/#lasso.dyna.binout.Binout.as_df","text":"read data and convert to pandas dataframe if possible Parameters: Name Type Description Default *args internal path in the folder structure of the binout () Returns: Name Type Description df pandas . DataFrame data converted to pandas dataframe Raises: Type Description ValueError if the data cannot be converted to a pandas dataframe Examples: >>> from lasso.dyna import Binout >>> binout = Binout('path/to/binout') Read a time-dependent array. >>> binout.as_df('glstat', 'eroded_kinetic_energy') time 0.00000 0.000000 0.19971 0.000000 0.39942 0.000000 0.59976 0.000000 0.79947 0.000000 ... 119.19978 105.220786 119.39949 105.220786 119.59983 105.220786 119.79954 105.220786 119.99988 105.220786 Name: eroded_kinetic_energy, Length: 601, dtype: float64 Read a time and id-dependent array. >>> binout.as_df('secforc', 'x_force') 1 2 3 ... 33 34 time . 0.00063 2.168547e-16 2.275245e-15 -3.118639e-14 ... -5.126108e-13 4.592941e-16 0.20034 3.514243e-04 3.797908e-04 -1.701294e-03 ... 2.530416e-11 2.755493e-07 0.40005 3.052490e-03 3.242951e-02 -2.699926e-02 ... 6.755315e-06 -2.608923e-03 0.60039 -1.299816e-02 4.930999e-02 -1.632376e-02 ... 8.941705e-05 -2.203455e-02 0.80010 1.178485e-02 4.904512e-02 -9.740204e-03 ... 5.648263e-05 -6.999854e-02 ... ... ... ... ... ... ... 119.00007 9.737679e-01 -8.833702e+00 1.298964e+01 ... -9.977377e-02 7.883521e+00 119.20041 7.421170e-01 -8.849411e+00 1.253505e+01 ... -1.845916e-01 7.791409e+00 119.40012 9.946615e-01 -8.541475e+00 1.188757e+01 ... -3.662228e-02 7.675800e+00 119.60046 9.677638e-01 -8.566695e+00 1.130774e+01 ... 5.144208e-02 7.273052e+00 119.80017 1.035165e+00 -8.040828e+00 1.124044e+01 ... -1.213450e-02 7.188395e+00","title":"as_df()"},{"location":"dyna/Binout/#lasso.dyna.binout.Binout.read","text":"Read all data from Binout (top to low level) Parameters: Name Type Description Default path internal path in the folder structure of the binout () Returns: Name Type Description ret Union [ List [ str ], str , np . ndarray ] list of subdata within the folder or data itself (array or string)","title":"read()"},{"location":"dyna/Binout/#lasso.dyna.binout.Binout.read--notes","text":"This function is used to read any data from the binout. It has been used to make the access to the data more comfortable. The return type depends on the given path: - `binout.read()`: `List[str] names of directories (in binout) - `binout.read(dir)`: `List[str]` names of variables or subdirs - `binout.read(dir1, ..., variable)`: np.array data If you have multiple outputs with different ids (e.g. in nodout for multiple nodes) then don't forget to read the id array for identification or id-labels. Examples: >>> from lasso.dyna import Binout >>> binout = Binout(\"test/binout\") >>> # get top dirs >>> binout.read() ['swforc'] >>> binout.read(\"swforc\") ['title', 'failure', 'ids', 'failure_time', ...] >>> binout.read(\"swforc\",\"shear\").shape (321L, 26L) >>> binout.read(\"swforc\",\"ids\").shape (26L,) >>> binout.read(\"swforc\",\"ids\") array([52890, 52891, 52892, ...]) >>> # read a string value >>> binout.read(\"swforc\",\"date\") '11/05/2013'","title":"Notes"},{"location":"dyna/Binout/#lasso.dyna.binout.Binout.save_hdf5","text":"Save a binout as HDF5 Parameters: Name Type Description Default filepath path where the HDF5 shall be saved required compression compression technique (see h5py docs) 'gzip' Examples: >>> binout = Binout(\"path/to/binout\") >>> binout.save_hdf5(\"path/to/binout.h5\")","title":"save_hdf5()"},{"location":"dyna/D3plot/","text":"D3plot There is a youtube tutorial available for this class: Class used to read LS-Dyna d3plots arrays : dict property writable Dictionary holding all d3plot arrays Notes The corresponding keys of the dictionary can also be found in `lasso.dyna.ArrayTypes`, which helps with IDE integration and code safety. Examples: >>> d3plot = D3plot(\"some/path/to/d3plot\") >>> d3plot.arrays.keys() dict_keys(['irbtyp', 'node_coordinates', ...]) >>> # The following is good coding practice >>> import lasso.dyna.ArrayTypes.ArrayTypes as atypes >>> d3plot.arrays[atypes.node_displacmeent].shape header : D3plotHeader property Instance holding all d3plot header information Returns: Name Type Description header D3plotHeader header of the d3plot Notes The header contains a lot of information such as number of elements, etc. Examples: >>> d3plot = D3plot(\"some/path/to/d3plot\") >>> # number of shells >>> d3plot.header.n_shells 85624 n_timesteps : int property Number of timesteps loaded __init__ ( filepath = None , use_femzip = None , n_files_to_load_at_once = None , state_array_filter = None , state_filter = None , buffered_reading = False ) Constructor for a D3plot Parameters: Name Type Description Default filepath str path to a d3plot file None use_femzip Union [ bool , None] Not used anymore. None n_files_to_load_at_once Union [ int , None] DEPRECATED not used anymore, use buffered_reading None state_array_filter Union [ List [ str ], None] names of arrays which will be the only ones loaded from state data None state_filter Union [None, Set [ int ]] which states to load. Negative indexes count backwards. None buffered_reading bool whether to pull only a single state into memory during reading False Examples: >>> from lasso.dyna import D3plot, ArrayType >>> # open and read everything >>> d3plot = D3plot(\"path/to/d3plot\") >>> # only read node displacement >>> d3plot = D3plot(\"path/to/d3plot\", state_array_filter=[\"node_displacement\"]) >>> # or with nicer syntax >>> d3plot = D3plot(\"path/to/d3plot\", state_array_filter=[ArrayType.node_displacement]) >>> # only load first and last state >>> d3plot = D3plot(\"path/to/d3plot\", state_filter={0, -1}) >>> # our computer lacks RAM so lets extract a specific array >>> # but only keep one state at a time in memory >>> d3plot = D3plot(\"path/to/d3plot\", >>> state_array_filter=[ArrayType.node_displacement], >>> buffered_reading=True) Notes If dyna wrote multiple files for several states, only give the path to the first file. check_array_dims ( array_dimensions , dimension_name , dimension_size =- 1 ) This function checks if multiple arrays share an array dimensions with the same size. Parameters: Name Type Description Default array_dimensions Dict [ str , int ] Array name and expected number of dimensions as dict required dimension_name str Name of the array dimension for error messages required dimension_size int Optional expected size. If not set then all entries must equal the first value collected. -1 Raises: Type Description ValueError If dimensions do not match in any kind of way. compare ( d3plot2 , array_eps = None ) Compare two d3plots and print the info Parameters: Name Type Description Default d3plot2 second d3plot required array_eps Union [ float , None] tolerance for arrays None Returns: Name Type Description hdr_differences dict differences in the header array_differences dict difference between arrays as message Examples: Comparison of a femzipped file and an uncompressed file. Femzip is a lossy compression, thus precision is traded for memory. >>> d3plot1 = D3plot(\"path/to/d3plot\") >>> d3plot2 = D3plot(\"path/to/d3plot.fz\") >>> hdr_diff, array_diff = d3plot1.compare(d3plot2) >>> for arraytype, msg in array_diff.items(): >>> print(name, msg) node_coordinates \u0394max = 0.050048828125 node_displacement \u0394max = 0.050048828125 node_velocity \u0394max = 0.050048828125 node_acceleration \u0394max = 49998984.0 element_beam_axial_force \u0394max = 6.103515625e-05 element_shell_stress \u0394max = 0.0005035400390625 element_shell_thickness \u0394max = 9.999999717180685e-10 element_shell_unknown_variables \u0394max = 0.0005000010132789612 element_shell_internal_energy \u0394max = 188.41957092285156 enable_logger ( enable ) staticmethod Enable the logger for this class Parameters: Name Type Description Default enable bool whether to enable logging for this class required get_part_filter ( filter_type , part_ids , for_state_array = True ) Get a part filter for different entities Parameters: Name Type Description Default filter_type FilterType the array type to filter for (beam, shell, solid, tshell, node) required part_ids Iterable [ int ] part ids to filter out required for_state_array bool if the filter is meant for a state array. Makes a difference for shells if rigid bodies are in the model (mattyp == 20) True Returns: Name Type Description mask np . ndarray mask usable on arrays to filter results Examples: >>> from lasso.dyna import D3plot, ArrayType, FilterType >>> d3plot = D3plot(\"path/to/d3plot\") >>> part_ids = [13, 14] >>> mask = d3plot.get_part_filter(FilterType.shell) >>> shell_stress = d3plot.arrays[ArrayType.element_shell_stress] >>> shell_stress.shape (34, 7463, 3, 6) >>> # select only parts from part_ids >>> shell_stress_parts = shell_stress[:, mask] plot ( i_timestep = 0 , field = None , is_element_field = True , fringe_limits = None , export_filepath = '' ) Plot the d3plot geometry Parameters: Name Type Description Default i_timestep int timestep index to plot 0 field Union [ np . ndarray , None] Array containing a field value for every element or node None is_element_field bool if the specified field is for elements or nodes True fringe_limits Union [ Tuple [ float , float ], None] limits for the fringe bar. Set by default to min and max. None export_filepath str filepath to export the html to '' Notes Currently only shell elements can be plotted, since for solids the surface needs extraction. Examples: Plot deformation of last timestep. >>> d3plot = D3plot(\"path/to/d3plot\") >>> d3plot.plot(-1) >>> # get eff. plastic strain >>> pstrain = d3plot.arrays[ArrayType.element_shell_effective_plastic_strain] >>> pstrain.shape (1, 4696, 3) >>> # mean across all 3 integration points >>> pstrain = pstrain.mean(axis=2) >>> pstrain.shape (1, 4696) >>> # we only have 1 timestep here but let's take last one in general >>> last_timestep = -1 >>> d3plot.plot(0, field=pstrain[last_timestep]) >>> # we don't like the fringe, let's adjust >>> d3plot.plot(0, field=pstrain[last_timestep], fringe_limits=(0, 0.3)) write_d3plot ( filepath , block_size_bytes = 2048 , single_file = True ) Write a d3plot file again (pro version only) Parameters: Name Type Description Default filepath Union [ str , BinaryIO ] filepath of the new d3plot file or an opened file handle required block_size_bytes int D3plots are originally written in byte-blocks causing zero-padding at the end of files. This can be controlled by this parameter. Set to 0 for no padding. 2048 single_file bool whether to write all states into a single file True Examples: Modify an existing d3plot: >>> d3plot = D3plot(\"path/to/d3plot\") >>> hvars = d3plot.array[ArrayType.element_shell_history_vars] >>> hvars.shape (1, 4696, 3, 19) >>> new_history_var = np.random.random((1, 4696, 3, 1)) >>> new_hvars = np.concatenate([hvars, new_history_var], axis=3) >>> d3plot.array[ArrayType.element_shell_history_vars] = new_hvars >>> d3plot.write_d3plot(\"path/to/new/d3plot\") Write a new d3plot from scratch: >>> d3plot = D3plot() >>> d3plot.arrays[ArrayType.node_coordinates] = np.array([[0, 0, 0], ... [1, 0, 0], ... [0, 1, 0]]) >>> d3plot.arrays[ArrayType.element_shell_node_indexes] = np.array([[0, 2, 1, 1]]) >>> d3plot.arrays[ArrayType.element_shell_part_indexes] = np.array([0]) >>> d3plot.arrays[ArrayType.node_displacement] = np.array([[[0, 0, 0], ... [1, 0, 0], ... [0, 1, 0]]]) >>> d3plot.write_d3plot(\"yay.d3plot\") Notes This function is not available in the public version please contact LASSO directly in case of further interest.","title":"D3plot"},{"location":"dyna/D3plot/#d3plot","text":"There is a youtube tutorial available for this class: Class used to read LS-Dyna d3plots","title":"D3plot"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.arrays","text":"Dictionary holding all d3plot arrays","title":"arrays"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.arrays--notes","text":"The corresponding keys of the dictionary can also be found in `lasso.dyna.ArrayTypes`, which helps with IDE integration and code safety. Examples: >>> d3plot = D3plot(\"some/path/to/d3plot\") >>> d3plot.arrays.keys() dict_keys(['irbtyp', 'node_coordinates', ...]) >>> # The following is good coding practice >>> import lasso.dyna.ArrayTypes.ArrayTypes as atypes >>> d3plot.arrays[atypes.node_displacmeent].shape","title":"Notes"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.header","text":"Instance holding all d3plot header information Returns: Name Type Description header D3plotHeader header of the d3plot","title":"header"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.header--notes","text":"The header contains a lot of information such as number of elements, etc. Examples: >>> d3plot = D3plot(\"some/path/to/d3plot\") >>> # number of shells >>> d3plot.header.n_shells 85624","title":"Notes"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.n_timesteps","text":"Number of timesteps loaded","title":"n_timesteps"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.__init__","text":"Constructor for a D3plot Parameters: Name Type Description Default filepath str path to a d3plot file None use_femzip Union [ bool , None] Not used anymore. None n_files_to_load_at_once Union [ int , None] DEPRECATED not used anymore, use buffered_reading None state_array_filter Union [ List [ str ], None] names of arrays which will be the only ones loaded from state data None state_filter Union [None, Set [ int ]] which states to load. Negative indexes count backwards. None buffered_reading bool whether to pull only a single state into memory during reading False Examples: >>> from lasso.dyna import D3plot, ArrayType >>> # open and read everything >>> d3plot = D3plot(\"path/to/d3plot\") >>> # only read node displacement >>> d3plot = D3plot(\"path/to/d3plot\", state_array_filter=[\"node_displacement\"]) >>> # or with nicer syntax >>> d3plot = D3plot(\"path/to/d3plot\", state_array_filter=[ArrayType.node_displacement]) >>> # only load first and last state >>> d3plot = D3plot(\"path/to/d3plot\", state_filter={0, -1}) >>> # our computer lacks RAM so lets extract a specific array >>> # but only keep one state at a time in memory >>> d3plot = D3plot(\"path/to/d3plot\", >>> state_array_filter=[ArrayType.node_displacement], >>> buffered_reading=True)","title":"__init__()"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.__init__--notes","text":"If dyna wrote multiple files for several states, only give the path to the first file.","title":"Notes"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.check_array_dims","text":"This function checks if multiple arrays share an array dimensions with the same size. Parameters: Name Type Description Default array_dimensions Dict [ str , int ] Array name and expected number of dimensions as dict required dimension_name str Name of the array dimension for error messages required dimension_size int Optional expected size. If not set then all entries must equal the first value collected. -1 Raises: Type Description ValueError If dimensions do not match in any kind of way.","title":"check_array_dims()"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.compare","text":"Compare two d3plots and print the info Parameters: Name Type Description Default d3plot2 second d3plot required array_eps Union [ float , None] tolerance for arrays None Returns: Name Type Description hdr_differences dict differences in the header array_differences dict difference between arrays as message Examples: Comparison of a femzipped file and an uncompressed file. Femzip is a lossy compression, thus precision is traded for memory. >>> d3plot1 = D3plot(\"path/to/d3plot\") >>> d3plot2 = D3plot(\"path/to/d3plot.fz\") >>> hdr_diff, array_diff = d3plot1.compare(d3plot2) >>> for arraytype, msg in array_diff.items(): >>> print(name, msg) node_coordinates \u0394max = 0.050048828125 node_displacement \u0394max = 0.050048828125 node_velocity \u0394max = 0.050048828125 node_acceleration \u0394max = 49998984.0 element_beam_axial_force \u0394max = 6.103515625e-05 element_shell_stress \u0394max = 0.0005035400390625 element_shell_thickness \u0394max = 9.999999717180685e-10 element_shell_unknown_variables \u0394max = 0.0005000010132789612 element_shell_internal_energy \u0394max = 188.41957092285156","title":"compare()"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.enable_logger","text":"Enable the logger for this class Parameters: Name Type Description Default enable bool whether to enable logging for this class required","title":"enable_logger()"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.get_part_filter","text":"Get a part filter for different entities Parameters: Name Type Description Default filter_type FilterType the array type to filter for (beam, shell, solid, tshell, node) required part_ids Iterable [ int ] part ids to filter out required for_state_array bool if the filter is meant for a state array. Makes a difference for shells if rigid bodies are in the model (mattyp == 20) True Returns: Name Type Description mask np . ndarray mask usable on arrays to filter results Examples: >>> from lasso.dyna import D3plot, ArrayType, FilterType >>> d3plot = D3plot(\"path/to/d3plot\") >>> part_ids = [13, 14] >>> mask = d3plot.get_part_filter(FilterType.shell) >>> shell_stress = d3plot.arrays[ArrayType.element_shell_stress] >>> shell_stress.shape (34, 7463, 3, 6) >>> # select only parts from part_ids >>> shell_stress_parts = shell_stress[:, mask]","title":"get_part_filter()"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.plot","text":"Plot the d3plot geometry Parameters: Name Type Description Default i_timestep int timestep index to plot 0 field Union [ np . ndarray , None] Array containing a field value for every element or node None is_element_field bool if the specified field is for elements or nodes True fringe_limits Union [ Tuple [ float , float ], None] limits for the fringe bar. Set by default to min and max. None export_filepath str filepath to export the html to ''","title":"plot()"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.plot--notes","text":"Currently only shell elements can be plotted, since for solids the surface needs extraction. Examples: Plot deformation of last timestep. >>> d3plot = D3plot(\"path/to/d3plot\") >>> d3plot.plot(-1) >>> # get eff. plastic strain >>> pstrain = d3plot.arrays[ArrayType.element_shell_effective_plastic_strain] >>> pstrain.shape (1, 4696, 3) >>> # mean across all 3 integration points >>> pstrain = pstrain.mean(axis=2) >>> pstrain.shape (1, 4696) >>> # we only have 1 timestep here but let's take last one in general >>> last_timestep = -1 >>> d3plot.plot(0, field=pstrain[last_timestep]) >>> # we don't like the fringe, let's adjust >>> d3plot.plot(0, field=pstrain[last_timestep], fringe_limits=(0, 0.3))","title":"Notes"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.write_d3plot","text":"Write a d3plot file again (pro version only) Parameters: Name Type Description Default filepath Union [ str , BinaryIO ] filepath of the new d3plot file or an opened file handle required block_size_bytes int D3plots are originally written in byte-blocks causing zero-padding at the end of files. This can be controlled by this parameter. Set to 0 for no padding. 2048 single_file bool whether to write all states into a single file True Examples: Modify an existing d3plot: >>> d3plot = D3plot(\"path/to/d3plot\") >>> hvars = d3plot.array[ArrayType.element_shell_history_vars] >>> hvars.shape (1, 4696, 3, 19) >>> new_history_var = np.random.random((1, 4696, 3, 1)) >>> new_hvars = np.concatenate([hvars, new_history_var], axis=3) >>> d3plot.array[ArrayType.element_shell_history_vars] = new_hvars >>> d3plot.write_d3plot(\"path/to/new/d3plot\") Write a new d3plot from scratch: >>> d3plot = D3plot() >>> d3plot.arrays[ArrayType.node_coordinates] = np.array([[0, 0, 0], ... [1, 0, 0], ... [0, 1, 0]]) >>> d3plot.arrays[ArrayType.element_shell_node_indexes] = np.array([[0, 2, 1, 1]]) >>> d3plot.arrays[ArrayType.element_shell_part_indexes] = np.array([0]) >>> d3plot.arrays[ArrayType.node_displacement] = np.array([[[0, 0, 0], ... [1, 0, 0], ... [0, 1, 0]]]) >>> d3plot.write_d3plot(\"yay.d3plot\")","title":"write_d3plot()"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.write_d3plot--notes","text":"This function is not available in the public version please contact LASSO directly in case of further interest.","title":"Notes"},{"location":"dyna/D3plotHeader/","text":"D3plotHeader Class for reading only header information of a d3plot Attributes: Name Type Description filepath str Filepath of the processed file. itype np . dtype Integer type of d3plot. ftype np . dtype Floating point type of d3plot. wordsize int size of words in bytes (4 = single precision, 8 = double precision). raw_header Dict [ str , Any ] Raw header data as dict. external_numbers_dtype np . dtype Integer type of user ids. n_header_bytes int Number of bytes of header (at least 256 or more). title str Main title. title2 str Optional, secondary title. runtime int Runtime of the d3plot as timestamp. filetype D3plotFiletype Filetype such as d3plot or d3part. source_version int Source version of LS-Dyna. release_version str Release version of LS-Dyna. version float Version of LS-Dyna. extra_long_header bool If header was longer than default. n_dimensions int Number of dimensions, usually three. n_global_vars int How many global vars for each state. n_adapted_element_pairs int How many adapted element pairs. has_node_deletion_data bool If node deletion data is present. has_element_deletion_data bool If element deletion data is present. has_numbering_section bool If a user numbering section is present. has_material_type_section bool If material type section was written. n_numbering_section_words int Amount of words for numbering section. has_invariant_numbering bool If invariant numbering is used whatever that means. quadratic_elems_has_full_connectivity bool If quadric elements have full connectivity. quadratic_elems_has_data_at_integration_points bool If quadric elements data is at integration points. n_post_branches int Unused and unknown. n_types Tuple [ int , ...] Behind geometry these are integers indicating additional data such as part names. n_parts int Obviously number of parts. n_nodes int Number of nodes. has_node_temperatures bool If node temperature is present. has_node_temperature_layers bool If node temperatures are layered. has_node_heat_flux bool If node heat flux is present. has_node_mass_scaling bool Mass scaling is written. has_node_displacement bool Node displacement is written. has_node_velocity bool Node velocity is written. has_node_acceleration bool Node acceleration is written. has_node_temperature_gradient bool Node temperature gradient is written. has_node_residual_forces bool Node residual forces are written. has_node_residual_moments bool Node residual moments are written. has_node_max_contact_penetration_absolute bool Node contact penetration info exist. has_node_max_contact_penetration_relative bool Node relative contact penetration info was written. has_node_contact_energy_density int Node energy density was written. n_shell_tshell_layers int Number of layers for shells and thick shells. n_shell_tshell_history_vars int Number of history vars for shells and thick shells. has_shell_tshell_stress bool If shells and thick shells have stresses. has_shell_tshell_pstrain bool If shells and thick shells have eff. plastic strain. has_element_strain bool If all elements have strain. has_solid_shell_plastic_strain_tensor bool If solids have plastic strain tensor. has_solid_shell_thermal_strain_tensor bool If solids have thermal strain tensor. n_solids int Number of solids. n_solid_vars int Number of solid variables per element and state. n_solid_materials int Number of solid materials/parts. n_solid_history_vars int Number of solid history variables. n_solid_thermal_vars int Number of solid thermal variables. n_solids_20_node_hexas int Number of 20-node solid hexas. n_solids_27_node_hexas int Number of 27-node solid hexas. n_solids_21_node_pentas int Number of 21-node solid pentas. n_solids_15_node_tetras int Number of 15-node solid tetras. n_solids_20_node_tetras int Number of 20-node solid tetras. n_solids_40_node_pentas int Number of 40-node solid pentas. n_solids_64_node_hexas int Number of 64-node solid hexas. has_solid_2_extra_nodes bool If two extra nodes were written for solids. has_solid_stress bool If solid stress is present. has_solid_pstrain bool If solid eff. plastic strain is present. has_quadratic_solids bool If quadratic solids were used. has_cubic_solids bool If cubic solids were used. has_solid_internal_energy_density bool If solids have internal energy density. n_solid_layers int Number of solid layers. n_shells int Number of shells. n_shell_vars int Number of shell vars per element and state. n_shell_materials int Number of shell materials/parts. n_shells_8_nodes int Number of 8-node shells. has_shell_four_inplane_gauss_points bool If shells have four inplace gaussian integration points. has_shell_forces bool If shell forces are present. has_shell_extra_variables bool If extra shell variables such as forces are present. has_shell_internal_energy_density bool If shell internal energy density is present. n_thick_shells int Number of thick shell elements. n_thick_shell_vars int Number of thick shell element vars. n_thick_shell_materials int Number of thick shell materials/parts. has_thick_shell_energy_density bool If thick shells have energy density. thick_shell_energy_density_position int Nnused. n_beams int Number of beam elements. n_beam_vars int Number of state variables per beam element. n_beam_materials int Number of beam materials. n_beam_history_vars int Number of beam history variables. n_airbags int Number of airbags. has_airbag_n_chambers bool If airbags have number of chambers var. has_rigid_road_surface bool If rigid road surface was written. has_rigid_body_data bool If rigid body section was written. has_reduced_rigid_body_data bool If the reduced set of rigid body data was written. n_rigid_wall_vars int Number of rigid wall vars. n_sph_nodes int Number of sph nodes. n_sph_materials int Number of sph materials. n_ale_materials int Number of ale materials. n_ale_fluid_groups int Number of ale fluid groups. has_cfd_data bool If CFD-Data was written. has_multi_solver_data bool If multi-solver data was written. cfd_extra_data int If cfd data contains extra section. legacy_code_type int Originally a code indicator but unused nowadays. unused_numst int Unused and not explained in docs. __init__ ( filepath = None ) Create a D3plotHeader instance Parameters: Name Type Description Default filepath Union [ str , BinaryBuffer , None] path to a d3plot file or a buffer holding d3plot memory None Returns: Name Type Description header D3plotHeader d3plot header instance Examples: Create an empty header file >>> header = D3plotHeader() Now load only the header of a d3plot. >>> header.load_file(\"path/to/d3plot\") Or we can do the above together. >>> header = D3plotHeader(\"path/to/d3plot\") Notes This class does not load the entire memory of a d3plot but merely what is required to parse the header information. Thus, it is safe to use on big files. load_file ( file ) Load d3plot header from a d3plot file Parameters: Name Type Description Default file Union [ str , BinaryBuffer ] path to d3plot or BinaryBuffer holding memory of d3plot required Returns: Name Type Description self D3plotHeader returning self on success Notes This routine only loads the minimal amount of data that is neccessary. Thus it is safe to use on huge files. Examples: >>> header = D3plotHeader().load_file(\"path/to/d3plot\") >>> header.n_shells 19684 compare ( other ) Compare two headers and get the differences Parameters: Name Type Description Default other D3plotHeader other d3plot header instance required Returns: Name Type Description differences Dict [ str , Tuple [ Any , Any ]] The different entries of both headers in a dict","title":"D3plotHeader"},{"location":"dyna/D3plotHeader/#d3plotheader","text":"Class for reading only header information of a d3plot Attributes: Name Type Description filepath str Filepath of the processed file. itype np . dtype Integer type of d3plot. ftype np . dtype Floating point type of d3plot. wordsize int size of words in bytes (4 = single precision, 8 = double precision). raw_header Dict [ str , Any ] Raw header data as dict. external_numbers_dtype np . dtype Integer type of user ids. n_header_bytes int Number of bytes of header (at least 256 or more). title str Main title. title2 str Optional, secondary title. runtime int Runtime of the d3plot as timestamp. filetype D3plotFiletype Filetype such as d3plot or d3part. source_version int Source version of LS-Dyna. release_version str Release version of LS-Dyna. version float Version of LS-Dyna. extra_long_header bool If header was longer than default. n_dimensions int Number of dimensions, usually three. n_global_vars int How many global vars for each state. n_adapted_element_pairs int How many adapted element pairs. has_node_deletion_data bool If node deletion data is present. has_element_deletion_data bool If element deletion data is present. has_numbering_section bool If a user numbering section is present. has_material_type_section bool If material type section was written. n_numbering_section_words int Amount of words for numbering section. has_invariant_numbering bool If invariant numbering is used whatever that means. quadratic_elems_has_full_connectivity bool If quadric elements have full connectivity. quadratic_elems_has_data_at_integration_points bool If quadric elements data is at integration points. n_post_branches int Unused and unknown. n_types Tuple [ int , ...] Behind geometry these are integers indicating additional data such as part names. n_parts int Obviously number of parts. n_nodes int Number of nodes. has_node_temperatures bool If node temperature is present. has_node_temperature_layers bool If node temperatures are layered. has_node_heat_flux bool If node heat flux is present. has_node_mass_scaling bool Mass scaling is written. has_node_displacement bool Node displacement is written. has_node_velocity bool Node velocity is written. has_node_acceleration bool Node acceleration is written. has_node_temperature_gradient bool Node temperature gradient is written. has_node_residual_forces bool Node residual forces are written. has_node_residual_moments bool Node residual moments are written. has_node_max_contact_penetration_absolute bool Node contact penetration info exist. has_node_max_contact_penetration_relative bool Node relative contact penetration info was written. has_node_contact_energy_density int Node energy density was written. n_shell_tshell_layers int Number of layers for shells and thick shells. n_shell_tshell_history_vars int Number of history vars for shells and thick shells. has_shell_tshell_stress bool If shells and thick shells have stresses. has_shell_tshell_pstrain bool If shells and thick shells have eff. plastic strain. has_element_strain bool If all elements have strain. has_solid_shell_plastic_strain_tensor bool If solids have plastic strain tensor. has_solid_shell_thermal_strain_tensor bool If solids have thermal strain tensor. n_solids int Number of solids. n_solid_vars int Number of solid variables per element and state. n_solid_materials int Number of solid materials/parts. n_solid_history_vars int Number of solid history variables. n_solid_thermal_vars int Number of solid thermal variables. n_solids_20_node_hexas int Number of 20-node solid hexas. n_solids_27_node_hexas int Number of 27-node solid hexas. n_solids_21_node_pentas int Number of 21-node solid pentas. n_solids_15_node_tetras int Number of 15-node solid tetras. n_solids_20_node_tetras int Number of 20-node solid tetras. n_solids_40_node_pentas int Number of 40-node solid pentas. n_solids_64_node_hexas int Number of 64-node solid hexas. has_solid_2_extra_nodes bool If two extra nodes were written for solids. has_solid_stress bool If solid stress is present. has_solid_pstrain bool If solid eff. plastic strain is present. has_quadratic_solids bool If quadratic solids were used. has_cubic_solids bool If cubic solids were used. has_solid_internal_energy_density bool If solids have internal energy density. n_solid_layers int Number of solid layers. n_shells int Number of shells. n_shell_vars int Number of shell vars per element and state. n_shell_materials int Number of shell materials/parts. n_shells_8_nodes int Number of 8-node shells. has_shell_four_inplane_gauss_points bool If shells have four inplace gaussian integration points. has_shell_forces bool If shell forces are present. has_shell_extra_variables bool If extra shell variables such as forces are present. has_shell_internal_energy_density bool If shell internal energy density is present. n_thick_shells int Number of thick shell elements. n_thick_shell_vars int Number of thick shell element vars. n_thick_shell_materials int Number of thick shell materials/parts. has_thick_shell_energy_density bool If thick shells have energy density. thick_shell_energy_density_position int Nnused. n_beams int Number of beam elements. n_beam_vars int Number of state variables per beam element. n_beam_materials int Number of beam materials. n_beam_history_vars int Number of beam history variables. n_airbags int Number of airbags. has_airbag_n_chambers bool If airbags have number of chambers var. has_rigid_road_surface bool If rigid road surface was written. has_rigid_body_data bool If rigid body section was written. has_reduced_rigid_body_data bool If the reduced set of rigid body data was written. n_rigid_wall_vars int Number of rigid wall vars. n_sph_nodes int Number of sph nodes. n_sph_materials int Number of sph materials. n_ale_materials int Number of ale materials. n_ale_fluid_groups int Number of ale fluid groups. has_cfd_data bool If CFD-Data was written. has_multi_solver_data bool If multi-solver data was written. cfd_extra_data int If cfd data contains extra section. legacy_code_type int Originally a code indicator but unused nowadays. unused_numst int Unused and not explained in docs.","title":"D3plotHeader"},{"location":"dyna/D3plotHeader/#lasso.dyna.d3plot_header.D3plotHeader.__init__","text":"Create a D3plotHeader instance Parameters: Name Type Description Default filepath Union [ str , BinaryBuffer , None] path to a d3plot file or a buffer holding d3plot memory None Returns: Name Type Description header D3plotHeader d3plot header instance Examples: Create an empty header file >>> header = D3plotHeader() Now load only the header of a d3plot. >>> header.load_file(\"path/to/d3plot\") Or we can do the above together. >>> header = D3plotHeader(\"path/to/d3plot\")","title":"__init__()"},{"location":"dyna/D3plotHeader/#lasso.dyna.d3plot_header.D3plotHeader.__init__--notes","text":"This class does not load the entire memory of a d3plot but merely what is required to parse the header information. Thus, it is safe to use on big files.","title":"Notes"},{"location":"dyna/D3plotHeader/#lasso.dyna.d3plot_header.D3plotHeader.load_file","text":"Load d3plot header from a d3plot file Parameters: Name Type Description Default file Union [ str , BinaryBuffer ] path to d3plot or BinaryBuffer holding memory of d3plot required Returns: Name Type Description self D3plotHeader returning self on success","title":"load_file()"},{"location":"dyna/D3plotHeader/#lasso.dyna.d3plot_header.D3plotHeader.load_file--notes","text":"This routine only loads the minimal amount of data that is neccessary. Thus it is safe to use on huge files. Examples: >>> header = D3plotHeader().load_file(\"path/to/d3plot\") >>> header.n_shells 19684","title":"Notes"},{"location":"dyna/D3plotHeader/#lasso.dyna.d3plot_header.D3plotHeader.compare","text":"Compare two headers and get the differences Parameters: Name Type Description Default other D3plotHeader other d3plot header instance required Returns: Name Type Description differences Dict [ str , Tuple [ Any , Any ]] The different entries of both headers in a dict","title":"compare()"},{"location":"dyna/FilterType/","text":"FilterType Bases: Enum Used for filtering d3plot arrays Attributes: Name Type Description BEAM str Filters for beam elements SHELL str Filters for shell elements SOLID str Filters for solid elements TSHELL str Filters for thick shells elements PART str Filters for parts NODE str Filters for nodes Examples: >>> part_ids = [13, 14] >>> d3plot.get_part_filter(FilterType.SHELL, part_ids)","title":"FilterType"},{"location":"dyna/FilterType/#filtertype","text":"Bases: Enum Used for filtering d3plot arrays Attributes: Name Type Description BEAM str Filters for beam elements SHELL str Filters for shell elements SOLID str Filters for solid elements TSHELL str Filters for thick shells elements PART str Filters for parts NODE str Filters for nodes Examples: >>> part_ids = [13, 14] >>> d3plot.get_part_filter(FilterType.SHELL, part_ids)","title":"FilterType"},{"location":"dyna/performance_info/","text":"Performance Info D3plot Benchmark: The d3plot reader is blazingly fast by using several memory tricks. While postprocessors build up an internal datastructure during reading, this reader avoids this and simply references memory within the files. In consequence performance benchmarks show that the runtime of the code is solely dominated by pulling the files into memory. 2108 function calls (2099 primitive calls) in 43.017 seconds Ordered by: internal time ncalls tottime percall cumtime percall filename:lineno(function) 35 38.960 1.113 38.960 1.113 {method 'readinto' of '_io.BufferedReader' objects} 35 2.366 0.068 2.366 0.068 {built-in method io.open} 1 1.644 1.644 42.959 42.959 D3plot.py:2565(_read_state_bytebuffer) 71 0.043 0.001 0.043 0.001 {built-in method nt.stat} 2 0.002 0.001 0.057 0.028 BinaryBuffer.py:234(load) 70 0.000 0.000 0.001 0.000 ntpath.py:74(join) 142 0.000 0.000 0.000 0.000 ntpath.py:121(splitdrive) 1 0.000 0.000 0.019 0.019 D3plot.py:2738() 1 0.000 0.000 0.000 0.000 {built-in method nt.listdir} 36 0.000 0.000 0.000 0.000 {method 'match' of '_sre.SRE_Pattern' objects} 84 0.000 0.000 0.000 0.000 {built-in method numpy.core.multiarray.frombuffer} 1 0.000 0.000 42.959 42.959 D3plot.py:1304(_read_states) ... In the table above the largest, first three performance issues are all related to loading files into memory, accounting for 99.89% of runtime. The routines reading the data arrays (deserialization) have an almost constant runtime of a few milliseconds and are independent of the filesize. Efficiency Note that writing such efficient and simple code in C or any other language is much more challenging than in Python, thus surprisingly this implementation can be expected to outperform most native codes and tools. Indeed tests show that when reading all results of a d3plot in a postprocessor, this library is devastatingly fast. For reading single node-fields this library can be slower though (see Improvements below). Array-based API Building objects is useful (e.g. neighbor search) but requires additional runtime overhead. By the principle of \"don't pay for what you don't use\" it was decided to avoid object orientation, thus providing a majorly array-based API. This is perfectly suitable for data analysis as well as machine learning. Improvements A speedup 'could' be achieved by using memory-mapping, thus pulling only fractions of the files into the RAM which hold the required arrays. Postprocessors sometimes do this when reading certain fields, outperforming this library in such a case (e.g. node displacements). Since dyna litters most arrays across the entire file though, this method was not considered worth the effort and thus this library always reads everything. Binout The binout is used to store arbitrary binary data at a much higher frequency than the d3plot. As a result the data is dumped in an internal 'state folder'. Since different results may be dumped at different frequencies some state folders might contain more information than others. This inherently prevents efficient memory reading. The python version used here is slower than the original C-based version but one therefore gains better portability accross operating systems.","title":"Performance Info"},{"location":"dyna/performance_info/#performance-info","text":"","title":"Performance Info"},{"location":"dyna/performance_info/#d3plot","text":"Benchmark: The d3plot reader is blazingly fast by using several memory tricks. While postprocessors build up an internal datastructure during reading, this reader avoids this and simply references memory within the files. In consequence performance benchmarks show that the runtime of the code is solely dominated by pulling the files into memory. 2108 function calls (2099 primitive calls) in 43.017 seconds Ordered by: internal time ncalls tottime percall cumtime percall filename:lineno(function) 35 38.960 1.113 38.960 1.113 {method 'readinto' of '_io.BufferedReader' objects} 35 2.366 0.068 2.366 0.068 {built-in method io.open} 1 1.644 1.644 42.959 42.959 D3plot.py:2565(_read_state_bytebuffer) 71 0.043 0.001 0.043 0.001 {built-in method nt.stat} 2 0.002 0.001 0.057 0.028 BinaryBuffer.py:234(load) 70 0.000 0.000 0.001 0.000 ntpath.py:74(join) 142 0.000 0.000 0.000 0.000 ntpath.py:121(splitdrive) 1 0.000 0.000 0.019 0.019 D3plot.py:2738() 1 0.000 0.000 0.000 0.000 {built-in method nt.listdir} 36 0.000 0.000 0.000 0.000 {method 'match' of '_sre.SRE_Pattern' objects} 84 0.000 0.000 0.000 0.000 {built-in method numpy.core.multiarray.frombuffer} 1 0.000 0.000 42.959 42.959 D3plot.py:1304(_read_states) ... In the table above the largest, first three performance issues are all related to loading files into memory, accounting for 99.89% of runtime. The routines reading the data arrays (deserialization) have an almost constant runtime of a few milliseconds and are independent of the filesize.","title":"D3plot"},{"location":"dyna/performance_info/#efficiency","text":"Note that writing such efficient and simple code in C or any other language is much more challenging than in Python, thus surprisingly this implementation can be expected to outperform most native codes and tools. Indeed tests show that when reading all results of a d3plot in a postprocessor, this library is devastatingly fast. For reading single node-fields this library can be slower though (see Improvements below).","title":"Efficiency"},{"location":"dyna/performance_info/#array-based-api","text":"Building objects is useful (e.g. neighbor search) but requires additional runtime overhead. By the principle of \"don't pay for what you don't use\" it was decided to avoid object orientation, thus providing a majorly array-based API. This is perfectly suitable for data analysis as well as machine learning.","title":"Array-based API"},{"location":"dyna/performance_info/#improvements","text":"A speedup 'could' be achieved by using memory-mapping, thus pulling only fractions of the files into the RAM which hold the required arrays. Postprocessors sometimes do this when reading certain fields, outperforming this library in such a case (e.g. node displacements). Since dyna litters most arrays across the entire file though, this method was not considered worth the effort and thus this library always reads everything.","title":"Improvements"},{"location":"dyna/performance_info/#binout","text":"The binout is used to store arbitrary binary data at a much higher frequency than the d3plot. As a result the data is dumped in an internal 'state folder'. Since different results may be dumped at different frequencies some state folders might contain more information than others. This inherently prevents efficient memory reading. The python version used here is slower than the original C-based version but one therefore gains better portability accross operating systems.","title":"Binout"},{"location":"femzip/","text":"Femzip Documentation of the Femzip module. The D3plot reader uses this module to access femzip file data through the femzip API. It also allows to decompress files directly or use some additional utility functions such as a femzip file check if desired. Example >>> from lasso.femzip import FemzipAPI >>> from ctypes import * >>> filepath = \"path/to/d3plot.fz\" >>> # Initialize API >>> api = FemzipAPI () Here we check if we can use the extended FEMZIP-API. The extended FEMZIP-API allows reading selected arrays, but reqires a license with the feature \"FEMUNZIPLIB-DYNA\", which can be attained from SIDACT or femzip distributors. >>> api . has_femunziplib_license () True Check if a file is femzipped: >>> # check if file is femzipped >>> api . is_sidact_file ( filepath ) True Check the file and library version. This is usually not neccessary. >>> api . is_femunzip_version_ok ( filepath ) True It's efficient to get the memory demand for arrays beforehand and hand this memory info to other functions. It is often not mandatory though and a mere speedup. >>> # read memory demand info first >>> buffer_info = api . get_buffer_info ( filepath ) >>> # buffer info is a c struct, but we can print it >>> api . struct_to_dict ( buffer_info ) { 'n_timesteps' : 12 , 'timesteps' : < lasso . femzip . femzip_api . LP_c_float object at 0x0000028A8F6B21C0 > , 'size_geometry' : 537125 , 'size_state' : 1462902 , 'size_displacement' : 147716 , 'size_activity' : 47385 , 'size_post' : 1266356 , 'size_titles' : 1448 } >>> for i_timestep in range ( buffer_info . n_timesteps ): >>> print ( buffer_info . timesteps [ i_timestep ]) 0.0 0.9998100399971008 1.9998900890350342 2.9999701976776123 3.9997801780700684 Here we read the geometry buffer. The file is kept open so that we can read states afterwards. >>> mview = api . read_geometry ( filepath , buffer_info , close_file = False ) Femzip can handle only one file per process. In case of issues close the current file (shown later). We can check the API status as follows >>> print ( api . struct_to_dict ( api . get_femzip_status ())) { 'is_file_open' : 1 , 'is_geometry_read' : 1 , 'is_states_open' : 0 , 'i_timestep_state' : - 1 , 'i_timestep_activity' : - 1 } Get the memory of a single state. Must start at 0. Femzip does not allow reading arbitrary states inbetween. >>> mview = api . read_single_state ( i_timestep = 0 , buffer_info = buffer_info ) It is also possible to read the state memory directly into an already allocated buffer. >>> BufferType = c_float * ( buffer_info . size_state ) >>> mview = memoryview ( BufferType ()) >>> api . read_single_state ( 1 , buffer_info = buffer_info , state_buffer = mview ) Let's close the file manually. This ensures that femzip resets its internal state. >>> api . close_current_file ()","title":"Overview"},{"location":"femzip/#femzip","text":"Documentation of the Femzip module. The D3plot reader uses this module to access femzip file data through the femzip API. It also allows to decompress files directly or use some additional utility functions such as a femzip file check if desired.","title":"Femzip"},{"location":"femzip/#example","text":">>> from lasso.femzip import FemzipAPI >>> from ctypes import * >>> filepath = \"path/to/d3plot.fz\" >>> # Initialize API >>> api = FemzipAPI () Here we check if we can use the extended FEMZIP-API. The extended FEMZIP-API allows reading selected arrays, but reqires a license with the feature \"FEMUNZIPLIB-DYNA\", which can be attained from SIDACT or femzip distributors. >>> api . has_femunziplib_license () True Check if a file is femzipped: >>> # check if file is femzipped >>> api . is_sidact_file ( filepath ) True Check the file and library version. This is usually not neccessary. >>> api . is_femunzip_version_ok ( filepath ) True It's efficient to get the memory demand for arrays beforehand and hand this memory info to other functions. It is often not mandatory though and a mere speedup. >>> # read memory demand info first >>> buffer_info = api . get_buffer_info ( filepath ) >>> # buffer info is a c struct, but we can print it >>> api . struct_to_dict ( buffer_info ) { 'n_timesteps' : 12 , 'timesteps' : < lasso . femzip . femzip_api . LP_c_float object at 0x0000028A8F6B21C0 > , 'size_geometry' : 537125 , 'size_state' : 1462902 , 'size_displacement' : 147716 , 'size_activity' : 47385 , 'size_post' : 1266356 , 'size_titles' : 1448 } >>> for i_timestep in range ( buffer_info . n_timesteps ): >>> print ( buffer_info . timesteps [ i_timestep ]) 0.0 0.9998100399971008 1.9998900890350342 2.9999701976776123 3.9997801780700684 Here we read the geometry buffer. The file is kept open so that we can read states afterwards. >>> mview = api . read_geometry ( filepath , buffer_info , close_file = False ) Femzip can handle only one file per process. In case of issues close the current file (shown later). We can check the API status as follows >>> print ( api . struct_to_dict ( api . get_femzip_status ())) { 'is_file_open' : 1 , 'is_geometry_read' : 1 , 'is_states_open' : 0 , 'i_timestep_state' : - 1 , 'i_timestep_activity' : - 1 } Get the memory of a single state. Must start at 0. Femzip does not allow reading arbitrary states inbetween. >>> mview = api . read_single_state ( i_timestep = 0 , buffer_info = buffer_info ) It is also possible to read the state memory directly into an already allocated buffer. >>> BufferType = c_float * ( buffer_info . size_state ) >>> mview = memoryview ( BufferType ()) >>> api . read_single_state ( 1 , buffer_info = buffer_info , state_buffer = mview ) Let's close the file manually. This ensures that femzip resets its internal state. >>> api . close_current_file ()","title":"Example"},{"location":"femzip/FemzipAPI/","text":"FemzipAPI FemzipAPI contains wrapper functions around the femzip library. api : CDLL property Returns the loaded, shared object library of the native interface Returns: Name Type Description shared_object_lib CDLL Loaded shared object library. close_current_file () Closes the current file handle(use not recommended) Notes Closes a currently opened file by the API. There is no arg because femzip can process only one file at a time. This can also be used in case of bugs. Examples: >>> api.close_current_file() copy_struct ( src , dest ) staticmethod Copies all fields from src struct to dest Parameters: Name Type Description Default src Structure src struct required src Structure destination struct required Examples: >>> err1 = FemzipError() >>> err1.ier = -1 >>> err1.msg = b\"Oops\" >>> err2 = FemzipError() >>> api.copy_struct(err1, err2) >>> err2.ier -1 >>> err2.msg b'Oops' get_buffer_info ( filepath ) Get the dimensions of the buffers for femzip Parameters: Name Type Description Default filepath str path to femzip file required Returns: Name Type Description buffer_info FemzipBufferInfo c struct with infos about the memory required by femzip Examples: >>> # read memory demand info first >>> buffer_info = api.get_buffer_info(filepath) >>> # buffer info is a c struct, but we can print it >>> api.struct_to_dict(buffer_info) {'n_timesteps': 12, 'timesteps': , 'size_geometry': 537125, 'size_state': 1462902, 'size_displacement': 147716, 'size_activity': 47385, 'size_post': 1266356, 'size_titles': 1448} >>> for i_timestep in range(buffer_info.n_timesteps): >>> print(buffer_info.timesteps[i_timestep]) 0.0 0.9998100399971008 1.9998900890350342 2.9999701976776123 3.9997801780700684 get_femzip_status () Check the status of the femzip api Returns: Name Type Description femzip_status FemzipAPIStatus c struct with info about femzip API Notes This reports whether a file is currently opened and how far it was processed. This internal state is used to avoid internal conflicts and crashes, thus is useful for debugging. Examples: >>> print(api.struct_to_dict(api.get_femzip_status())) {'is_file_open': 0, 'is_geometry_read': 0, 'is_states_open': 0, 'i_timestep_state': -1, 'i_timestep_activity': -1} get_file_metadata ( filepath ) Get infos about the femzip variables in the file Parameters: Name Type Description Default filepath str path to femzip file required Returns: Name Type Description file_metadata FemzipFileMetadata c struct with infos about the femzip file Notes This is for direct interaction with the C-API, thus should not be used by users. Examples: >>> file_metadata = api.get_file_metadata(\"path/to/d3plot.fz\") >>> # print general internals >>> api.struct_to_dict(file_metadata) {'version_zip': 605.0, 'activity_flag': 1, 'number_of_variables': 535, ...} >>> # We can iterate the variable names contained in the file >>> print( [file_metadata.variable_infos[i_var].name.decode(\"utf8\").strip() for i_var in range(file_metadata.number_of_variables)] ) ['global', 'Parts: Energies and others', 'coordinates', 'velocities', ...] get_part_titles ( filepath , buffer_info = None ) Get the part title section Parameters: Name Type Description Default filepath str path to femzip file required buffer_info Union [None, FemzipBufferInfo ] buffer info if previously fetched None Returns: Name Type Description mview memoryview memory of the part title section has_femunziplib_license () Checks whether the extended libraries are available Returns: Name Type Description has_license bool Examples: >>> api.has_femunziplib_license() False is_femunzip_version_ok ( filepath ) Checks if the femunzip version can be handled Parameters: Name Type Description Default filepath str path to the femzpi file required Returns: Name Type Description version_ok bool Examples: >>> api.is_femunzip_version_ok(\"path/to/d3plot.fz\") True is_sidact_file ( filepath ) Tests if a filepath points at a sidact file Parameters: Name Type Description Default filepath str required Returns: Name Type Description is_sidact_file bool Examples: >>> api.is_sidact_file(\"path/to/d3plot.fz\") True >>> api.is_sidact_file(\"path/to/d3plot\") False >>> api.is_sidact_file(\"path/to/non/existing/file\") False load_dynamic_library ( path ) staticmethod Load a library and check for correct execution Parameters: Name Type Description Default path str path to the library required Returns: Name Type Description library CDLL loaded library read_geometry ( filepath , buffer_info = None , close_file = True ) Read the geometry buffer from femzip Parameters: Name Type Description Default filepath str path to femzpi file required buffer_info Union [ FemzipBufferInfo , None] struct with info regarding required memory for femzip None close_file bool it is useful to leave the file open if states are processed right afterwards True Returns: Name Type Description buffer memoryview memoryview of buffer Notes If the file isn't closed appropriately bugs and crashes might occur. Examples: >>> mview = api.read_geometry(filepath, buffer_info) read_single_state ( i_timestep , buffer_info , state_buffer = None ) Read a single state Parameters: Name Type Description Default i_timestep int timestep to be read required buffer_info FemzipBufferInfo infos about buffer sizes required state_buffer Union [None, memoryview ] buffer in which the states are stored None Notes It is unclear to us why the state buffer needs to be given in order to terminate state reading. Examples: >>> # get info about required memory >>> buffer_info = api.get_buffer_info(filepath) >>> # first read geometry and leave file open >>> mview_geom = api.read_geometry(filepath, buffer_info, False) >>> # now read a state >>> mview_state = api.read_single_state(0, buffer_info=buffer_info) >>> # close file >>> api.close_current_file() read_state_deletion_info ( buffer_info , state_filter = None ) Get information which elements are alive Parameters: Name Type Description Default buffer_info FemzipBufferInfo infos about buffer sizes required state_filter Union [ Set [ int ], None] usable to read only specific states None Notes The `buffer` must have the size of at least `buffer_info.size_activity`. Examples: >>> # get info about required memory >>> buffer_info = api.get_buffer_info(filepath) >>> # first read geometry and leave file open! >>> mview_geom = api.read_geometry(filepath, buffer_info, False) >>> # now read deletion info >>> array_deletion = api.read_state_activity(buffer_info) >>> # close file >>> api.close_current_file() read_states ( filepath , buffer_info = None , state_filter = None ) Reads all femzip state information Parameters: Name Type Description Default filepath str path to femzip file required buffer_info Union [ FemzipBufferInfo , None] struct with info regarding required memory for femzip None state_filter Union [ Set [ int ], None] usable to load only specific states None Returns: Name Type Description buffer memoryview buffer containing all state data Examples: >>> buffer_info = api.get_buffer_info(\"path/to/d3plot.fz\") >>> array_states = api.read_states(\"path/to/d3plot.fz\", buffer_info) read_variables ( file_metadata , n_parts , n_rigid_walls , n_rigid_wall_vars , n_airbag_particles , n_airbags , state_filter = None ) Read specific variables from Femzip Parameters: Name Type Description Default file_metadata FemzipFileMetadata metadata of file including which variables to read required n_parts int number of parts in the file required n_rigid_walls int number of rigid walls required n_rigid_wall_vars int number of rigid wall variables required n_airbag_particles int number of airbag particles in the file required n_airbags int required state_filter Union [ Set [ int ], None] used to read specific arrays None Returns: Name Type Description arrays dict dictionary with d3plot arrays Notes Uses extended femzip library and requires a license for 'FEMUNZIPLIB_DYNA'. Please contact sidact if required. struct_to_dict ( struct ) staticmethod Converts a ctypes struct into a dict Parameters: Name Type Description Default struct Structure required Returns: Name Type Description fields Dict [ str , Any ] struct as dict Examples: >>> api.struct_to_dict(api.get_femzip_status()) {'is_file_open': 1, 'is_geometry_read': 1, 'is_states_open': 0, 'i_timestep_state': -1, 'i_timestep_activity': -1}","title":"FemzipAPI"},{"location":"femzip/FemzipAPI/#femzipapi","text":"FemzipAPI contains wrapper functions around the femzip library.","title":"FemzipAPI"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.api","text":"Returns the loaded, shared object library of the native interface Returns: Name Type Description shared_object_lib CDLL Loaded shared object library.","title":"api"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.close_current_file","text":"Closes the current file handle(use not recommended)","title":"close_current_file()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.close_current_file--notes","text":"Closes a currently opened file by the API. There is no arg because femzip can process only one file at a time. This can also be used in case of bugs. Examples: >>> api.close_current_file()","title":"Notes"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.copy_struct","text":"Copies all fields from src struct to dest Parameters: Name Type Description Default src Structure src struct required src Structure destination struct required Examples: >>> err1 = FemzipError() >>> err1.ier = -1 >>> err1.msg = b\"Oops\" >>> err2 = FemzipError() >>> api.copy_struct(err1, err2) >>> err2.ier -1 >>> err2.msg b'Oops'","title":"copy_struct()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.get_buffer_info","text":"Get the dimensions of the buffers for femzip Parameters: Name Type Description Default filepath str path to femzip file required Returns: Name Type Description buffer_info FemzipBufferInfo c struct with infos about the memory required by femzip Examples: >>> # read memory demand info first >>> buffer_info = api.get_buffer_info(filepath) >>> # buffer info is a c struct, but we can print it >>> api.struct_to_dict(buffer_info) {'n_timesteps': 12, 'timesteps': , 'size_geometry': 537125, 'size_state': 1462902, 'size_displacement': 147716, 'size_activity': 47385, 'size_post': 1266356, 'size_titles': 1448} >>> for i_timestep in range(buffer_info.n_timesteps): >>> print(buffer_info.timesteps[i_timestep]) 0.0 0.9998100399971008 1.9998900890350342 2.9999701976776123 3.9997801780700684","title":"get_buffer_info()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.get_femzip_status","text":"Check the status of the femzip api Returns: Name Type Description femzip_status FemzipAPIStatus c struct with info about femzip API","title":"get_femzip_status()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.get_femzip_status--notes","text":"This reports whether a file is currently opened and how far it was processed. This internal state is used to avoid internal conflicts and crashes, thus is useful for debugging. Examples: >>> print(api.struct_to_dict(api.get_femzip_status())) {'is_file_open': 0, 'is_geometry_read': 0, 'is_states_open': 0, 'i_timestep_state': -1, 'i_timestep_activity': -1}","title":"Notes"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.get_file_metadata","text":"Get infos about the femzip variables in the file Parameters: Name Type Description Default filepath str path to femzip file required Returns: Name Type Description file_metadata FemzipFileMetadata c struct with infos about the femzip file","title":"get_file_metadata()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.get_file_metadata--notes","text":"This is for direct interaction with the C-API, thus should not be used by users. Examples: >>> file_metadata = api.get_file_metadata(\"path/to/d3plot.fz\") >>> # print general internals >>> api.struct_to_dict(file_metadata) {'version_zip': 605.0, 'activity_flag': 1, 'number_of_variables': 535, ...} >>> # We can iterate the variable names contained in the file >>> print( [file_metadata.variable_infos[i_var].name.decode(\"utf8\").strip() for i_var in range(file_metadata.number_of_variables)] ) ['global', 'Parts: Energies and others', 'coordinates', 'velocities', ...]","title":"Notes"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.get_part_titles","text":"Get the part title section Parameters: Name Type Description Default filepath str path to femzip file required buffer_info Union [None, FemzipBufferInfo ] buffer info if previously fetched None Returns: Name Type Description mview memoryview memory of the part title section","title":"get_part_titles()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.has_femunziplib_license","text":"Checks whether the extended libraries are available Returns: Name Type Description has_license bool Examples: >>> api.has_femunziplib_license() False","title":"has_femunziplib_license()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.is_femunzip_version_ok","text":"Checks if the femunzip version can be handled Parameters: Name Type Description Default filepath str path to the femzpi file required Returns: Name Type Description version_ok bool Examples: >>> api.is_femunzip_version_ok(\"path/to/d3plot.fz\") True","title":"is_femunzip_version_ok()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.is_sidact_file","text":"Tests if a filepath points at a sidact file Parameters: Name Type Description Default filepath str required Returns: Name Type Description is_sidact_file bool Examples: >>> api.is_sidact_file(\"path/to/d3plot.fz\") True >>> api.is_sidact_file(\"path/to/d3plot\") False >>> api.is_sidact_file(\"path/to/non/existing/file\") False","title":"is_sidact_file()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.load_dynamic_library","text":"Load a library and check for correct execution Parameters: Name Type Description Default path str path to the library required Returns: Name Type Description library CDLL loaded library","title":"load_dynamic_library()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_geometry","text":"Read the geometry buffer from femzip Parameters: Name Type Description Default filepath str path to femzpi file required buffer_info Union [ FemzipBufferInfo , None] struct with info regarding required memory for femzip None close_file bool it is useful to leave the file open if states are processed right afterwards True Returns: Name Type Description buffer memoryview memoryview of buffer","title":"read_geometry()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_geometry--notes","text":"If the file isn't closed appropriately bugs and crashes might occur. Examples: >>> mview = api.read_geometry(filepath, buffer_info)","title":"Notes"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_single_state","text":"Read a single state Parameters: Name Type Description Default i_timestep int timestep to be read required buffer_info FemzipBufferInfo infos about buffer sizes required state_buffer Union [None, memoryview ] buffer in which the states are stored None","title":"read_single_state()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_single_state--notes","text":"It is unclear to us why the state buffer needs to be given in order to terminate state reading. Examples: >>> # get info about required memory >>> buffer_info = api.get_buffer_info(filepath) >>> # first read geometry and leave file open >>> mview_geom = api.read_geometry(filepath, buffer_info, False) >>> # now read a state >>> mview_state = api.read_single_state(0, buffer_info=buffer_info) >>> # close file >>> api.close_current_file()","title":"Notes"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_state_deletion_info","text":"Get information which elements are alive Parameters: Name Type Description Default buffer_info FemzipBufferInfo infos about buffer sizes required state_filter Union [ Set [ int ], None] usable to read only specific states None","title":"read_state_deletion_info()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_state_deletion_info--notes","text":"The `buffer` must have the size of at least `buffer_info.size_activity`. Examples: >>> # get info about required memory >>> buffer_info = api.get_buffer_info(filepath) >>> # first read geometry and leave file open! >>> mview_geom = api.read_geometry(filepath, buffer_info, False) >>> # now read deletion info >>> array_deletion = api.read_state_activity(buffer_info) >>> # close file >>> api.close_current_file()","title":"Notes"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_states","text":"Reads all femzip state information Parameters: Name Type Description Default filepath str path to femzip file required buffer_info Union [ FemzipBufferInfo , None] struct with info regarding required memory for femzip None state_filter Union [ Set [ int ], None] usable to load only specific states None Returns: Name Type Description buffer memoryview buffer containing all state data Examples: >>> buffer_info = api.get_buffer_info(\"path/to/d3plot.fz\") >>> array_states = api.read_states(\"path/to/d3plot.fz\", buffer_info)","title":"read_states()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_variables","text":"Read specific variables from Femzip Parameters: Name Type Description Default file_metadata FemzipFileMetadata metadata of file including which variables to read required n_parts int number of parts in the file required n_rigid_walls int number of rigid walls required n_rigid_wall_vars int number of rigid wall variables required n_airbag_particles int number of airbag particles in the file required n_airbags int required state_filter Union [ Set [ int ], None] used to read specific arrays None Returns: Name Type Description arrays dict dictionary with d3plot arrays","title":"read_variables()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_variables--notes","text":"Uses extended femzip library and requires a license for 'FEMUNZIPLIB_DYNA'. Please contact sidact if required.","title":"Notes"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.struct_to_dict","text":"Converts a ctypes struct into a dict Parameters: Name Type Description Default struct Structure required Returns: Name Type Description fields Dict [ str , Any ] struct as dict Examples: >>> api.struct_to_dict(api.get_femzip_status()) {'is_file_open': 1, 'is_geometry_read': 1, 'is_states_open': 0, 'i_timestep_state': -1, 'i_timestep_activity': -1}","title":"struct_to_dict()"},{"location":"femzip/FemzipAPIStatus/","text":"FemzipAPIStatus Bases: Structure This struct summarizes the state of the femzip API library. The library has a shared, global state which is stored in static variables. The state of the gloval vars is tracked by this struct. Attributes: Name Type Description is_file_open c_int32 Whether a femzip file is opened and being processed. is_geometry_read c_int32 Whether the geometry was already read. is_states_open c_int32 Whether processing of the states was started. i_timestep_state c_int32 Counter of timestep processing. i_timestep_activity c_int32 Counter of activity data for timesteps.","title":"FemzipAPIStatus"},{"location":"femzip/FemzipAPIStatus/#femzipapistatus","text":"Bases: Structure This struct summarizes the state of the femzip API library. The library has a shared, global state which is stored in static variables. The state of the gloval vars is tracked by this struct. Attributes: Name Type Description is_file_open c_int32 Whether a femzip file is opened and being processed. is_geometry_read c_int32 Whether the geometry was already read. is_states_open c_int32 Whether processing of the states was started. i_timestep_state c_int32 Counter of timestep processing. i_timestep_activity c_int32 Counter of activity data for timesteps.","title":"FemzipAPIStatus"},{"location":"femzip/FemzipBufferInfo/","text":"FemzipBufferInfo Bases: Structure This struct describes necessary buffer sizes for reading the file Attributes: Name Type Description n_timesteps c_uint64 Number of timesteps timesteps POINTER ( c_float ) Time for each timestep size_geometry c_uint64 Size of the geometry buffer size_state c_uint64 Size of the state buffer size_displacement c_uint64 Size for displacement array size_activity c_uint64 Size for activity array (deletion stuff) size_post c_uint64 Size of the post region of which I currently don't know anymore what it was. size_titles c_uint64 Size of the titles region behind the geomtry.","title":"FemzipBufferInfo"},{"location":"femzip/FemzipBufferInfo/#femzipbufferinfo","text":"Bases: Structure This struct describes necessary buffer sizes for reading the file Attributes: Name Type Description n_timesteps c_uint64 Number of timesteps timesteps POINTER ( c_float ) Time for each timestep size_geometry c_uint64 Size of the geometry buffer size_state c_uint64 Size of the state buffer size_displacement c_uint64 Size for displacement array size_activity c_uint64 Size for activity array (deletion stuff) size_post c_uint64 Size of the post region of which I currently don't know anymore what it was. size_titles c_uint64 Size of the titles region behind the geomtry.","title":"FemzipBufferInfo"},{"location":"femzip/FemzipError/","text":"FemzipError Bases: Structure Struct representing femzip errors in c-code Attributes: Name Type Description ier c_int32 Error code msg c_char_p Error message","title":"FemzipError"},{"location":"femzip/FemzipError/#femziperror","text":"Bases: Structure Struct representing femzip errors in c-code Attributes: Name Type Description ier c_int32 Error code msg c_char_p Error message","title":"FemzipError"},{"location":"femzip/FemzipFileMetadata/","text":"FemzipFileMetadata Bases: Structure This struct contains metadata about femzip files. Attributes: Name Type Description version_zip c_float activity_flag c_int32 number_of_variables c_int32 number_of_nodes c_int32 number_of_solid_elements c_int32 number_of_thick_shell_elements c_int32 number_of_1D_elements c_int32 number_of_tool_elements c_int32 number_of_shell_elements c_int32 number_of_solid_element_neighbors c_int32 number_of_rbe_element_neighbors c_int32 number_of_bar_elements c_int32 number_of_beam_elements c_int32 number_of_plotel_elements c_int32 number_of_spring_elements c_int32 number_of_damper_elements c_int32 number_of_joint_elements c_int32 number_of_joint_element_neighbors c_int32 number_of_bar_element_neighbors c_int32 number_of_beamcross_elements c_int32 number_of_spotweld_elements c_int32 number_of_rbe_elements c_int32 number_of_hexa20_elements c_int32 number_of_rigid_shell_elements c_int32 number_of_timesteps c_int32 variable_infos POINTER ( VariableInfo )","title":"FemzipFileMetadata"},{"location":"femzip/FemzipFileMetadata/#femzipfilemetadata","text":"Bases: Structure This struct contains metadata about femzip files. 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ThreadPoolExecutor multiprocessing pool required run_export ( pool ) Run diffcrash export Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required run_import ( pool ) Run diffcrash import of runs Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required run_math ( pool ) Run diffcrash math Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required run_matrix ( pool ) Run diffcrash matrix Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required run_merge ( pool ) Run diffcrash merge Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required run_setup ( pool ) Run diffcrash setup Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required","title":"Code"},{"location":"diffcrash/diffcrash_run/#diffcrashrun","text":"This class can be used in order to automate diffcrash runs in a hopefully comfortable manner. Class for handling the settings of a diffcrash run","title":"DiffcrashRun"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.__init__","text":"Object handling a diffcrash run Parameters: Name Type Description Default project_dir str directory to put all buffer files etc., in required crash_code str crash code to use. required reference_run str filepath to the reference run required simulation_runs typing . Sequence [ str ] patterns used to search for simulation runs required diffcrash_home str home directory of diffcrash installation. Uses environment variable DIFFCRASHHOME if not set. '' use_id_mapping bool whether to use id mapping instead of nearest neighbor mapping False config_file str filepath to a config file None parameter_file str filepath to the parameter file None n_processes int number of processes to spawn for worker pool 1 logfile_dir str directory to put logfiles in None","title":"__init__()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.check_if_logfiles_show_success","text":"Check if a logfiles with given pattern show success Parameters: Name Type Description Default pattern str file pattern used to search for logfiles required Returns: Name Type Description messages List [ str ] list with messages of failed log checks","title":"check_if_logfiles_show_success()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.clear_project_dir","text":"Clears the entire project dir","title":"clear_project_dir()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.create_project_dirs","text":"Creates all project relevant directores","title":"create_project_dirs()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.create_project_dirs--notes","text":"Created dirs: - logfile_dir - project_dir","title":"Notes"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.is_logfile_successful","text":"Checks if a logfile indicates a success Parameters: Name Type Description Default logfile str filepath to the logfile required Returns: Name Type Description success bool","title":"is_logfile_successful()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.read_config_file","text":"Read a diffcrash config file Parameters: Name Type Description Default config_file str path to the config file required","title":"read_config_file()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.read_config_file--notes","text":"From the official diffcrash docs ... seriously.","title":"Notes"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.run_eigen","text":"Run diffcrash eigen Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required","title":"run_eigen()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.run_export","text":"Run diffcrash export Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required","title":"run_export()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.run_import","text":"Run diffcrash import of runs Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required","title":"run_import()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.run_math","text":"Run diffcrash math Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required","title":"run_math()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.run_matrix","text":"Run diffcrash matrix Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required","title":"run_matrix()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.run_merge","text":"Run diffcrash merge Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required","title":"run_merge()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.run_setup","text":"Run diffcrash setup Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required","title":"run_setup()"},{"location":"diffcrash/run/","text":"run What is Diffcrash? Diffcrash is a software from Sidact which is designed for robustness analysis of simulation runs. It can be used as a set of independent executables or as a postprocessor plugin. Diffcrash itself must be licensed. Please therefore contact Sidact directly. This commmand line utility makes running a Diffcrash analysis much easier. How to use the utility? You can get the run info by performing: $ python -m lasso.diffcrash.run --help ==== D I F F C R A S H ==== an open lasso utility script usage: run.py [-h] --reference-run REFERENCE_RUN [--exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]]] --crash-code CRASH_CODE [--start-stage [START_STAGE]] [--end-stage [END_STAGE]] [--diffcrash-home [DIFFCRASH_HOME]] [--use-id-mapping [USE_ID_MAPPING]] [--project-dir [PROJECT_DIR]] [--config-file [CONFIG_FILE]] [--parameter-file [PARAMETER_FILE]] [--n-processes [N_PROCESSES]] [simulation_runs [simulation_runs ...]] Python utility script for Diffcrash. positional arguments: simulation_runs Simulation runs or patterns used to search for simulation runs. optional arguments: -h, --help show this help message and exit --reference-run REFERENCE_RUN filepath of the reference run. --exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]] Runs to exclude from the analysis. --crash-code CRASH_CODE Which crash code is used ('dyna', 'pam' or 'radioss'). --start-stage [START_STAGE] At which specific stage to start the analysis (SETUP, IMPORT, MATH, EXPORT, MATRIX, EIGEN, MERGE). --end-stage [END_STAGE] At which specific stage to stop the analysis (SETUP, IMPORT, MATH, EXPORT, MATRIX, EIGEN, MERGE). --diffcrash-home [DIFFCRASH_HOME] Home directory where Diffcrash is installed. Uses environment variable 'DIFFCRASHHOME' if unspecified. --use-id-mapping [USE_ID_MAPPING] Whether to use id-based mapping (default is nearest neighbour). --project-dir [PROJECT_DIR] Project dir to use for femzip. --config-file [CONFIG_FILE] Path to the config file. --parameter-file [PARAMETER_FILE] Path to the parameter file. --n-processes [N_PROCESSES] Number of processes to use (default: max-1). It is important to specify a --reference-run for the analysis. If the reference run is contained within the rest of the simulation_runs , it is automatically removed from that list. simulation_runs can be either tagged individually or by using placeholders for entire directories (e.g. '*.fz') and subdirectories (e.g. '/**/*.fz'). Warning Every run clears the project directory entirely! Example $ python -m lasso.diffcrash.run \\ $ --reference-run ./runs/run_1.fz \\ $ --crash-code dyna \\ $ --project-dir diffcrash_project \\ $ ./runs/*.fz ==== D I F F C R A S H ==== an open lasso utility script [/] diffcrash-home : /sw/Linux/diffcrash/V6.1.24 [/] project-dir : test-example-project [/] crash-code : dyna [/] reference-run : bus/run_1.fz [/] use-id-mapping : False [/] # simul.-files : 37 [/] # excluded files: 0 [/] config-file : None [!] Config file missing. Consider specifying the path with the option '--config-file'. [/] parameter-file : None [!] Parameter file missing. Consider specifying the path with the option '--parameter-file'. [/] n-processes : 4 ---- Running Routines ---- [\u2714] Running Setup ... done in 3.88s [\u2714] Running Imports ... done in 58.20s [\u2714] Running Math ... done in 56.22s [\u2714] Running Export ... done in 2.22s [\u2714] Running Matrix ... done in 9.78s [\u2714] Running Eigen ... done in 0.46s [\u2714] Running Merge ... done in 23.29s","title":"Command Line Tool"},{"location":"diffcrash/run/#run","text":"","title":"run"},{"location":"diffcrash/run/#what-is-diffcrash","text":"Diffcrash is a software from Sidact which is designed for robustness analysis of simulation runs. It can be used as a set of independent executables or as a postprocessor plugin. Diffcrash itself must be licensed. Please therefore contact Sidact directly. This commmand line utility makes running a Diffcrash analysis much easier.","title":"What is Diffcrash?"},{"location":"diffcrash/run/#how-to-use-the-utility","text":"You can get the run info by performing: $ python -m lasso.diffcrash.run --help ==== D I F F C R A S H ==== an open lasso utility script usage: run.py [-h] --reference-run REFERENCE_RUN [--exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]]] --crash-code CRASH_CODE [--start-stage [START_STAGE]] [--end-stage [END_STAGE]] [--diffcrash-home [DIFFCRASH_HOME]] [--use-id-mapping [USE_ID_MAPPING]] [--project-dir [PROJECT_DIR]] [--config-file [CONFIG_FILE]] [--parameter-file [PARAMETER_FILE]] [--n-processes [N_PROCESSES]] [simulation_runs [simulation_runs ...]] Python utility script for Diffcrash. positional arguments: simulation_runs Simulation runs or patterns used to search for simulation runs. optional arguments: -h, --help show this help message and exit --reference-run REFERENCE_RUN filepath of the reference run. --exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]] Runs to exclude from the analysis. --crash-code CRASH_CODE Which crash code is used ('dyna', 'pam' or 'radioss'). --start-stage [START_STAGE] At which specific stage to start the analysis (SETUP, IMPORT, MATH, EXPORT, MATRIX, EIGEN, MERGE). --end-stage [END_STAGE] At which specific stage to stop the analysis (SETUP, IMPORT, MATH, EXPORT, MATRIX, EIGEN, MERGE). --diffcrash-home [DIFFCRASH_HOME] Home directory where Diffcrash is installed. Uses environment variable 'DIFFCRASHHOME' if unspecified. --use-id-mapping [USE_ID_MAPPING] Whether to use id-based mapping (default is nearest neighbour). --project-dir [PROJECT_DIR] Project dir to use for femzip. --config-file [CONFIG_FILE] Path to the config file. --parameter-file [PARAMETER_FILE] Path to the parameter file. --n-processes [N_PROCESSES] Number of processes to use (default: max-1). It is important to specify a --reference-run for the analysis. If the reference run is contained within the rest of the simulation_runs , it is automatically removed from that list. simulation_runs can be either tagged individually or by using placeholders for entire directories (e.g. '*.fz') and subdirectories (e.g. '/**/*.fz'). Warning Every run clears the project directory entirely!","title":"How to use the utility?"},{"location":"diffcrash/run/#example","text":"$ python -m lasso.diffcrash.run \\ $ --reference-run ./runs/run_1.fz \\ $ --crash-code dyna \\ $ --project-dir diffcrash_project \\ $ ./runs/*.fz ==== D I F F C R A S H ==== an open lasso utility script [/] diffcrash-home : /sw/Linux/diffcrash/V6.1.24 [/] project-dir : test-example-project [/] crash-code : dyna [/] reference-run : bus/run_1.fz [/] use-id-mapping : False [/] # simul.-files : 37 [/] # excluded files: 0 [/] config-file : None [!] Config file missing. Consider specifying the path with the option '--config-file'. [/] parameter-file : None [!] Parameter file missing. Consider specifying the path with the option '--parameter-file'. [/] n-processes : 4 ---- Running Routines ---- [\u2714] Running Setup ... done in 3.88s [\u2714] Running Imports ... done in 58.20s [\u2714] Running Math ... done in 56.22s [\u2714] Running Export ... done in 2.22s [\u2714] Running Matrix ... done in 9.78s [\u2714] Running Eigen ... done in 0.46s [\u2714] Running Merge ... done in 23.29s","title":"Example"},{"location":"dimred/","text":"lasso.dimred The dimred module consists of a command line utility as well as several classes to reduce the dimensionality of D3plots and visualize the results.","title":"Overview"},{"location":"dimred/#lassodimred","text":"The dimred module consists of a command line utility as well as several classes to reduce the dimensionality of D3plots and visualize the results.","title":"lasso.dimred"},{"location":"dimred/DimredRun/","text":"DimredRun This class can be used in order to comfortably represent multiple D3plot samples in a 3D graph through dimensionality reduction. In the 3D graph every simulation is a data point and the closeness of the data points represents the similarity of the result field. It offers functions to: Subsample simulations to reduce the computational effort and account for different meshing. Reduce order which is the black magic reducing complex field results to a few numbers which can then be plotted in 3D. Clustering with sklearn to group simulations semi-automatically (mostly just a visual feature). Output 3D similarity plot as a webpage For ease of use, check out the Tool section, which explains the command line tool for this dimensionality reduction feature. Class to control and run the dimensionality reduction process __init__ ( simulation_runs , start_stage , end_stage , project_dir , html_name = '3d-beta-plot' , html_set_timestamp = False , reference_run = None , console = None , img_path = None , exclude_runs = None , logfile_filepath = None , n_processes = 1 , part_id_filter = None , timestep =- 1 , show_output = True , cluster_args = None , outlier_args = None ) Class handling a dimensionality reduction Parameters: Name Type Description Default simulation_runs Sequence [ str ] simulation runs to analyze required start_stage str where to start required end_stage str where to stop required project_dir Union [None, str ] required project directory for creation of buffer files. Allows restart in between. required html_name str Name of the output .html file '3d-beta-plot' html_set_timestamp bool If true, the output .html will include a timestamp (hh_mm_ss) at the end of the filename False reference_run str filepath to the reference run. If not set, first entry in simulation_runs will be used as reference run. None console Union [ Console , None] Console for information printing and logging. Rich offers pretty text printing, syntax highlighting etc. None img_path Union [None, str ] optional image directory to show images in visualization. None exclude_runs Union [None, Sequence [ str ]] optional list of runs to exclude from processing None logfile_filepath Union [ str , None] path of the log file (always appends) None n_processes int number of processes to use during execution 1 part_id_filter Union [None, Sequence [ int ]] which part ids to process None timestep int specifies timestep to analyze in clustering and show in output visualization -1 show_output bool Set to false not to show the output html in the browser True cluster_args Union [None, Sequence [ str ]] Arguments for cluster algorithm None outlier_args Union [None, Sequence [ str ]] Arguments for outlier detection algorithm None Notes Using a project directory allows to restart stages of the entire process. process_reference_run () Process the reference run subsample_to_reference_run () Subsamples all runs dimension_reduction_svd () Calculate V_ROB and Betas clustering_results () clustering results visualize_results () creates an output .html file","title":"DimredRun"},{"location":"dimred/DimredRun/#dimredrun","text":"This class can be used in order to comfortably represent multiple D3plot samples in a 3D graph through dimensionality reduction. In the 3D graph every simulation is a data point and the closeness of the data points represents the similarity of the result field. It offers functions to: Subsample simulations to reduce the computational effort and account for different meshing. Reduce order which is the black magic reducing complex field results to a few numbers which can then be plotted in 3D. Clustering with sklearn to group simulations semi-automatically (mostly just a visual feature). Output 3D similarity plot as a webpage For ease of use, check out the Tool section, which explains the command line tool for this dimensionality reduction feature. Class to control and run the dimensionality reduction process","title":"DimredRun"},{"location":"dimred/DimredRun/#lasso.dimred.dimred_run.DimredRun.__init__","text":"Class handling a dimensionality reduction Parameters: Name Type Description Default simulation_runs Sequence [ str ] simulation runs to analyze required start_stage str where to start required end_stage str where to stop required project_dir Union [None, str ] required project directory for creation of buffer files. Allows restart in between. required html_name str Name of the output .html file '3d-beta-plot' html_set_timestamp bool If true, the output .html will include a timestamp (hh_mm_ss) at the end of the filename False reference_run str filepath to the reference run. If not set, first entry in simulation_runs will be used as reference run. None console Union [ Console , None] Console for information printing and logging. Rich offers pretty text printing, syntax highlighting etc. None img_path Union [None, str ] optional image directory to show images in visualization. None exclude_runs Union [None, Sequence [ str ]] optional list of runs to exclude from processing None logfile_filepath Union [ str , None] path of the log file (always appends) None n_processes int number of processes to use during execution 1 part_id_filter Union [None, Sequence [ int ]] which part ids to process None timestep int specifies timestep to analyze in clustering and show in output visualization -1 show_output bool Set to false not to show the output html in the browser True cluster_args Union [None, Sequence [ str ]] Arguments for cluster algorithm None outlier_args Union [None, Sequence [ str ]] Arguments for outlier detection algorithm None","title":"__init__()"},{"location":"dimred/DimredRun/#lasso.dimred.dimred_run.DimredRun.__init__--notes","text":"Using a project directory allows to restart stages of the entire process.","title":"Notes"},{"location":"dimred/DimredRun/#lasso.dimred.dimred_run.DimredRun.process_reference_run","text":"Process the reference run","title":"process_reference_run()"},{"location":"dimred/DimredRun/#lasso.dimred.dimred_run.DimredRun.subsample_to_reference_run","text":"Subsamples all runs","title":"subsample_to_reference_run()"},{"location":"dimred/DimredRun/#lasso.dimred.dimred_run.DimredRun.dimension_reduction_svd","text":"Calculate V_ROB and Betas","title":"dimension_reduction_svd()"},{"location":"dimred/DimredRun/#lasso.dimred.dimred_run.DimredRun.clustering_results","text":"clustering results","title":"clustering_results()"},{"location":"dimred/DimredRun/#lasso.dimred.dimred_run.DimredRun.visualize_results","text":"creates an output .html file","title":"visualize_results()"},{"location":"dimred/KeywordTypes/","text":"Keyword Types Keywords for using the clustering_betas {.interpreted-text role=\"doc\"} functions. ClusterType Specifies names of specific clustering algorithms Attributes: Name Type Description OPTICS str OPTICS DBSCAN str DBSCAN KMeans str KMeans SpectralClustering str SpectralClustering get_cluster_type_name () staticmethod Get the name of the clustering algorithms DetectorType Specifies names of different outlier detector algorythms Attributes: Name Type Description IsolationForest str IsolationForest OneClassSVM str OneClassSVM LocalOutlierFactor str LocalOutlierFactor get_detector_type_name () staticmethod Get the name of the detector algorithms","title":"KeywordTypes"},{"location":"dimred/KeywordTypes/#keyword-types","text":"Keywords for using the clustering_betas {.interpreted-text role=\"doc\"} functions.","title":"Keyword Types"},{"location":"dimred/KeywordTypes/#lasso.dimred.svd.keyword_types.ClusterType","text":"Specifies names of specific clustering algorithms Attributes: Name Type Description OPTICS str OPTICS DBSCAN str DBSCAN KMeans str KMeans SpectralClustering str SpectralClustering","title":"ClusterType"},{"location":"dimred/KeywordTypes/#lasso.dimred.svd.keyword_types.ClusterType.get_cluster_type_name","text":"Get the name of the clustering algorithms","title":"get_cluster_type_name()"},{"location":"dimred/KeywordTypes/#lasso.dimred.svd.keyword_types.DetectorType","text":"Specifies names of different outlier detector algorythms Attributes: Name Type Description IsolationForest str IsolationForest OneClassSVM str OneClassSVM LocalOutlierFactor str LocalOutlierFactor","title":"DetectorType"},{"location":"dimred/KeywordTypes/#lasso.dimred.svd.keyword_types.DetectorType.get_detector_type_name","text":"Get the name of the detector algorithms","title":"get_detector_type_name()"},{"location":"dimred/clustering_betas/","text":"Clustering Betas Methods that apply different clustering and outlier detection algorithms. Offers additional functions to convert console command arguments into variables to use in the function. Warning This function is optimized to be used by the console commandline tool group_betas ( beta_index , betas , scale_betas = False , cluster = None , detector = None , cluster_params = None , detector_params = None ) Base function to to group betas into groups, detect outliers. Provides that all different clustering and outlier detection algorythms are implemented in an easy to access environment. To select different clustering and outlier detection algoyrthms, please use appropriate KeywordTypes. A description of each function can be accessed with document_algorythm(keyword) A list of all functions can be accessed with list_detectors_and_clusters() Parameters: Name Type Description Default beta_index Array containing the file names specific to the betas with the same index in the beta array required betas Numpy array containing the betas. Betas are expected to be of shape (samples, timestep, 3) The three entries per beta can either be dimesnions (x,y,z) or any three betas/eigenvalues required cluster String specifying which clustering algorythm shall be applied. Use ClusterTypefor easier access None detector String specifying which outlier detection algorythm shall be applied. Use DetectorType for easier access None cluster_params Dictionary containing parameters for the clustering algorythms. See the sklearn documentation for the function to learn more. None detector_params Dictionary containing parameters for the outlier detection algorythms. See the sklearn documentation for the function to learn more None Returns: Name Type Description beta_clusters list List containing Numpy Arrays of betas in one cluster. If a detector was selected, or the clustering algorythm has its own outlier detection, the first entry in the list will be oultier betas id_clusters list List containing lists of beta ids. Each id corresponds to the beta in the same place in the beta_clusters list err_msg str Error message if wrong keywords for detector or cluster algorithms were used Notes document_algorithm: Prints docstring of each function into console list_detectors_and_clusters: Prints out all detection and clustering algorythms into console Sklearn Userguide chapter 2.3 Clustering: https://scikit-learn.org/stable/modules/clustering.html Detailed overview of different clustering algorythms Sklearn Examples outlier detection: https://scikit-learn.org/stable/auto_examples/plot_anomaly_comparison.html Example of different used outlier detection algorythms create_cluster_arg_dict ( args ) Determines which cluster to use and creates a python dictionary to use as cluster_params Parameters: Name Type Description Default args Sequence [ str ] List of strings containing parameters and arguments required Returns: Name Type Description cluster_type str determines which cluster algorithm to use cluster_arg_dict dict dictionary containing arguments and values for specific cluster_type err_msg str message containing error, mostly unrecognised keywords create_detector_arg_dict ( args ) Determines which detector to use and creates a python dictionary to use as detector_params Parameters: Name Type Description Default args Sequence [ str ] List of strings containing parameters and arguments required Returns: Name Type Description detector_type str determines which cluster algorithm to use detector_arg_dict dict dictionary containing arguments and values for specific cluster_type err_mgs str message containing error, mostly unrecognised keywords","title":"clustering_betas"},{"location":"dimred/clustering_betas/#clustering-betas","text":"Methods that apply different clustering and outlier detection algorithms. Offers additional functions to convert console command arguments into variables to use in the function. Warning This function is optimized to be used by the console commandline tool","title":"Clustering Betas"},{"location":"dimred/clustering_betas/#lasso.dimred.svd.clustering_betas.group_betas","text":"Base function to to group betas into groups, detect outliers. Provides that all different clustering and outlier detection algorythms are implemented in an easy to access environment. To select different clustering and outlier detection algoyrthms, please use appropriate KeywordTypes. A description of each function can be accessed with document_algorythm(keyword) A list of all functions can be accessed with list_detectors_and_clusters() Parameters: Name Type Description Default beta_index Array containing the file names specific to the betas with the same index in the beta array required betas Numpy array containing the betas. Betas are expected to be of shape (samples, timestep, 3) The three entries per beta can either be dimesnions (x,y,z) or any three betas/eigenvalues required cluster String specifying which clustering algorythm shall be applied. Use ClusterTypefor easier access None detector String specifying which outlier detection algorythm shall be applied. Use DetectorType for easier access None cluster_params Dictionary containing parameters for the clustering algorythms. See the sklearn documentation for the function to learn more. None detector_params Dictionary containing parameters for the outlier detection algorythms. See the sklearn documentation for the function to learn more None Returns: Name Type Description beta_clusters list List containing Numpy Arrays of betas in one cluster. If a detector was selected, or the clustering algorythm has its own outlier detection, the first entry in the list will be oultier betas id_clusters list List containing lists of beta ids. Each id corresponds to the beta in the same place in the beta_clusters list err_msg str Error message if wrong keywords for detector or cluster algorithms were used","title":"group_betas()"},{"location":"dimred/clustering_betas/#lasso.dimred.svd.clustering_betas.group_betas--notes","text":"document_algorithm: Prints docstring of each function into console list_detectors_and_clusters: Prints out all detection and clustering algorythms into console Sklearn Userguide chapter 2.3 Clustering: https://scikit-learn.org/stable/modules/clustering.html Detailed overview of different clustering algorythms Sklearn Examples outlier detection: https://scikit-learn.org/stable/auto_examples/plot_anomaly_comparison.html Example of different used outlier detection algorythms","title":"Notes"},{"location":"dimred/clustering_betas/#lasso.dimred.svd.clustering_betas.create_cluster_arg_dict","text":"Determines which cluster to use and creates a python dictionary to use as cluster_params Parameters: Name Type Description Default args Sequence [ str ] List of strings containing parameters and arguments required Returns: Name Type Description cluster_type str determines which cluster algorithm to use cluster_arg_dict dict dictionary containing arguments and values for specific cluster_type err_msg str message containing error, mostly unrecognised keywords","title":"create_cluster_arg_dict()"},{"location":"dimred/clustering_betas/#lasso.dimred.svd.clustering_betas.create_detector_arg_dict","text":"Determines which detector to use and creates a python dictionary to use as detector_params Parameters: Name Type Description Default args Sequence [ str ] List of strings containing parameters and arguments required Returns: Name Type Description detector_type str determines which cluster algorithm to use detector_arg_dict dict dictionary containing arguments and values for specific cluster_type err_mgs str message containing error, mostly unrecognised keywords","title":"create_detector_arg_dict()"},{"location":"dimred/command_line_interface/","text":"Command-Line Tool What does this command-line tool do? This command-line tool creates compact overviews over tens, hundreds or even thousands of simulation runs. This is done by performing an unsupervised learning method on the displacement field of the simulations. The result is a report in the form of a 3D plot. Every point in the plot is a simulation result. If two points are very close their simulation results are also expected to be very similar. One can confirm by using images from every simulation (there is an option to specify the path to a folder with those images). Example Visualization Report This is a plot for dimensionality reduction of a rail getting crushed. This plot has many detail levels. Check out the following facts: There are two groups. The small group stands for samples buckling bottom . The big group represents buckling in the top area. There are two outliers Sample 143 is folding in the top and bottom. Sample 99 is folding in the middle. Similarity Axis The similarity axis X describes buckling top or bottom The similarity axis Y describes how much a sample gets compressed The samples are basically in a plane. The out of plane axis represents buckling not strictly top but also slightly in the lower end (zoom in). .navClosed { background-color: white; transition: 0.5s; display: flex; flex-direction: row; align-content: center; width: 100%; margin-bottom: 100px; } #plotDiv { width: 70%; } .imgDiv { width: 50%; display: flex; justify-content: center; align-items: center; } img.hoverIMG { /* height: 550px; */ } path = \"https://www.lasso.de/fileadmin/ressources/ml-embedding-images/\" imgType = \"png\" const plotDiv = document.getElementById(\"plotDiv\") function initDocument(){ /* const userWidth = plotDiv.offsetWidth / 2 const userHeight = \"550px\" plotDiv.style = `width: ${Math.floor( userWidth * 0.65) - 10}px; height: ${userHeight-30}px; z-index: 10;` plotDiv.style = `width: ${Math.floor( userWidth * 0.25) - 10}px; height: ${userHeight-30}px; z-index: 1;` */ } function resizeContents(){ /* let userWidth = plotDiv.offsetWidth / 2 const userHeight = \"550px\" plotDiv.style = `width: 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-1808.20153, -1552.65673, -1497.01902, -1581.24905, -1586.56829, -1594.57584, -1629.18614, -1569.73538, -1603.22399], }, layout = { paper_bgcolor: 'rgba(0,0,0,0)', plot_bgcolor: 'rgba(0,0,0,0)', scene: { yaxis: { title: 'sx' }, xaxis: { title: 'sy' }, zaxis: { title: 'sz' }, }, margin: { t: 30, l: 0, r: 0, b: 0, }, } config = { showLink: false, modeBarButtonsToRemove: ['sendDataToCloud'], responsive: true, } Plotly.plot(plotDiv, [trace0, ], layout, config) plotDiv.on('plotly_hover', data =>{ const runID = runIDs[data.points[0].curveNumber][data.points[0].pointNumber] document.getElementById(\"hoverIMG\").src = path+`/${runID}.`+imgType }) window.onresize = () => { resizeContents() } Quick Start You can call the command-line tool as follows: $ python -m lasso.dimred.run --help usage: run.py [-h] --reference-run REFERENCE_RUN [--exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]]] [--start-stage [START_STAGE]] [--end-stage [END_STAGE]] --project-dir PROJECT_DIR [--embedding-images EMBEDDING_IMAGES] [--logfile-filepath [LOGFILE_FILEPATH]] [--n-processes [N_PROCESSES]] [--part-ids [PART_IDS [PART_IDS ...]]] [--timestep TIMESTEP] [--cluster-args [CLUSTER_ARGS [CLUSTER_ARGS ...]]] [--outlier-args [OUTLIER_ARGS [OUTLIER_ARGS ...]]] [simulation_runs [simulation_runs ...]] Python utility script for dimensionality reduction. positional arguments: simulation_runs Simulation runs or patterns used to search for simulation runs. optional arguments: -h, --help show this help message and exit --reference-run REFERENCE_RUN Set the reference run instead of using the first entry in simulation runs. --exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]] Runs to exclude from the analysis. --start-stage [START_STAGE] At which specific stage to start the analysis (REFERENCE_RUN, IMPORT_RUNS, REDUCTION, CLUSTERING, EXPORT_PLOT). --end-stage [END_STAGE] At which specific stage to stop the analysis (REFERENCE_RUN, IMPORT_RUNS, REDUCTION, CLUSTERING, EXPORT_PLOT). --project-dir PROJECT_DIR Project dir for temporary files. Must be specified to allow restart at specific steps --embedding-images EMBEDDING_IMAGES Path to folder containing images of runs. Sample names must be numbers --logfile-filepath [LOGFILE_FILEPATH] Path for the logfile. A file will be created automatically if a project dir is specified. --n-processes [N_PROCESSES] Number of processes to use (default: n_cpu-1). --part-ids [PART_IDS [PART_IDS ...]] Part ids to process. By default all are taken. --timestep TIMESTEP Sets timestep to analyse. Uses last timestep if not set. --cluster-args [CLUSTER_ARGS [CLUSTER_ARGS ...]] Arguments for clustering algorithms. If not set, clustering will be skipped. --outlier-args [OUTLIER_ARGS [OUTLIER_ARGS ...]] Arguments for outlier detection befor clustering. Following arguments are required for the analysis: simulation-runs --project-dir] simulation-runs can be either tagged individually or by using placeholders for entire directories (e.g. '*.fz') and subdirectories (e.g. './**/*.fz'). Warning Every run clears respective steps of the generated .hdf5 file of previous runs, as well as the logfile. Tutorial In this tutorial, we will introduce the application of the command-line utility and explain some of the arguments. Make sure to have some similar D3plots (20 should already be fine). At first we will only apply the required arguments: $ python -m lasso/dimred/run \\ $ user/tutorial/plots/plot*.fz \\ $ --project-dir user/tutorial/projectfolder The first required argument is the filepath to the folder containing the simulation runs. In our case, all plots are contained in the same folder. If each plot is saved in its own folder, the command would look like this: $ python -m lasso/dimred/run \\ $ user/tutorial/plots*/plot.fz \\ $ --project-dir user/tutorial/projectfolder The --project-dir argument specifies the folder where the project data is saved. This will be a project_buffer.hdf5 file, a logfile , and the 3d_beta_plot[hh:mm:ss].html output. Note that for each run, corresponding entries in the project_buffer.hdf5 and the logfile will be overwritten. How to access the results in the project_buffer.hdf5 file will be discussed later. Your output should look similar to this: ==== OPEN - LASSO ==== \u250f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2513 \u2503 n-processes \u2503 5 \u2503 \u2502 reference-run \u2502 user/tuorial/plots/plot0.fz \u2502 \u2502 project-dir \u2502 user/tutorial/projectfolder \u2502 \u2502 # simul.-files \u2502 35 \u2502 \u2502 # excluded files \u2502 0 \u2502 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 ---- Running Routines ---- [14:25:56] Reference Subsample ... [14:26:04] Loadtime Reference subample: 8.020 [14:26:04] Total time for Reference subample: 8.080 [14:26:04] Reference subsample completed [14:26:04] Subsampling Subsampling plots ... \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 35 of 35; [14:29:03] Average Time per Subsampling Process: 24.76 [14:29:03] Average Loadtime per sample: 24.55 [14:29:03] Subsampling completed [14:29:03] Dimension Reduction ... [14:29:04] Dimension Reduction completed [14:29:04] No arguments provided for clustering, clustering aborted [14:29:04] Creating .html viz [14:29:05] Finished creating viz The output provides information about the different stages of the dimred tool, as well as some additional information. This allows you to keep track of the tools progress. The following 5 stages are run through: REFERENCE_RUN: The reference run is subsampled and saved. The reference run is either the first entry of the simulation runs, or can be manually set with --reference-run IMPORT_RUNS: The provided simulation runs are loaded, and subsampled using the reference run. This process applies a nearest neighbor algorithm to match nodes between different meshes to compensate for different meshing. REDUCTION: The dimensionality reduction is performed. CLUSTERING: If clustering and outlier arguments are provided, the results will be further categorized. EXPORT_PLOT: The results are exported and saved as .html file. Note Your computer may slow down while using the tool. If you want to use other programs while waiting on the tool to finish, reduce the amount of cores with --n-processes Start and End stage Next, we will take a look at the --start-stage and --end-stage arguments. These allow to restart and end the command-line utility at certain points in the process. This is usefull if you don't want to repeat certain stages to save time, or want to end the process prematurly, e.g. don't want to generate the .html output. To set the desired start and end stage, use the the following keywords: REFERENCE_RUN IMPORT_RUNS REDUCTION CLUSTERING EXPORT_PLOT Example: $ python -m lasso/dimred/run \\ $ user/tutorial/plots \\ $ --project-dir user/tutorial/projectfolder \\ $ --start-stage REDUCTION \\ $ --end-stage CLUSTERING ==== OPEN - LASSO ==== \u250f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2513 \u2503 n-processes \u2503 5 \u2503 \u2502 reference-run \u2502 user/tutorial/plots/plot0.fz \u2502 \u2502 project-dir \u2502 user/tutorial/projectfolder \u2502 \u2502 # simul.-files \u2502 35 \u2502 \u2502 # excluded files \u2502 0 \u2502 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 ---- Running Routines ---- [14:45:28] Skipped import stage [14:45:28] Dimension Reduction ... [14:45:29] Dimension Reduction completed [14:45:29] No arguments provided for clustering, clustering aborted This process is much quicker, as the samples have already been loaded and subsampled. Note that this only works, if the stages before the selected start stage (here: REFERENCE_RUN and IMPORT_RUNS have already been processed before. Clustering and outlier detection The dimred tool has an integrated functionality to cluster your results and detect outliers. Following cluster algorithms from the scikit sklearn library have been implemented: kmeans SpectralClustering DBScan Optics Additionally, you have access to the following outlier detection algorithms from the same library: IsolationForest LocalOutlierFactor OneClassSVM These classes have additional optional arguments, specified in their respective documentation. Here is an example on how to find two clusters with kmeans and detect oultiers with LocalOutlierFactor: $ python -m lasso/dimred/run \\ $ user/tutorial/plots \\ $ --project-dir user/tutorial/projectfolder \\ $ --reference-run user/tuorial/referenceplot \\ $ --start-stage REDUCTION \\ $ --cluster-arg kmeans n_clusters int 2 \\ $ --outlier-args LocalOutlierFactor !!! note> The argument n_clusters is followed by its type and then its value! The type of a keyword can be referenced by the appropriate sklearn documentation. Some types are not supported, make sure that they are either float , int or str . We skip the import stage again and add the --cluster-args and --outlier-args arguments, followed by the desired algorithm and optional additional arguments and their values. Accessing the results All results, as well as the subsamples and reference subsample are saved in the project_buffer.hdf5 file. You can access these in your own python scripts: import numpy as np import h5py h5py_path = \"user/tutorial/project_buffer.hdf5\" h5file = h5py . File ( h5py_path ) # access the reference subsamples: ref_sample = h5file [ \"subsample\" ][:] # create a numpy array containing displacement of all subsamples # this returns an array of shape (samples, timesteps, nodes, dims) np . stack ( h5file [ \"subsampled_runs\" ][ entry ][:] for entry in h5file [ \"subsampled_runs\" ] . keys ()]) # create a numpy array containg the right reduced order basis for projection: v_rob = h5file [ \"v_rob\" ][:] # the subsampled runs are projected into the right reduced order basis and called betas: betas = np . stack ([ h5file [ \"betas\" ][ entry ][:] for entry in h5file [ \"betas\" ] . keys ()]) These betas are used for the visulatization and if specified, clustering or outlier detection. In the visulatization, only the first 3 coefficients (betas) and only the last timestamp are accounted for. If you have provided clustering and outlier detection arguments, you can also access the different clusters: cluster_index = np . stack ([ h5file [ \"betas\" ][ entry ] . attrs [ \"cluster\" ] for entry in h5file [ \"betas\" ] . keys () ]) beta_clusters = [] for cluster in range ( h5file [ \"betas\" ] . attrs [ \"nr_clusters\" ]): beta_clusters . append ( betas [ np . where ( cluster_index == cluster )[ 0 ]]) The beta_clusters list contains lists of betas for each cluster. If outlier arguments have been provided, the first list contains all detected outliers. FAQ How to specify a path to the displayed images? In the final HTML there is a menu on the left side. In it you can specify a path to the image folder, as well as the file-ending. Be aware: The names of the images must be a number starting at 0 .","title":"Command Line Tool"},{"location":"dimred/command_line_interface/#command-line-tool","text":"","title":"Command-Line Tool"},{"location":"dimred/command_line_interface/#what-does-this-command-line-tool-do","text":"This command-line tool creates compact overviews over tens, hundreds or even thousands of simulation runs. This is done by performing an unsupervised learning method on the displacement field of the simulations. The result is a report in the form of a 3D plot. Every point in the plot is a simulation result. If two points are very close their simulation results are also expected to be very similar. One can confirm by using images from every simulation (there is an option to specify the path to a folder with those images).","title":"What does this command-line tool do?"},{"location":"dimred/command_line_interface/#example-visualization-report","text":"This is a plot for dimensionality reduction of a rail getting crushed. This plot has many detail levels. Check out the following facts: There are two groups. The small group stands for samples buckling bottom . The big group represents buckling in the top area. There are two outliers Sample 143 is folding in the top and bottom. Sample 99 is folding in the middle. Similarity Axis The similarity axis X describes buckling top or bottom The similarity axis Y describes how much a sample gets compressed The samples are basically in a plane. The out of plane axis represents buckling not strictly top but also slightly in the lower end (zoom in). .navClosed { background-color: white; transition: 0.5s; display: flex; flex-direction: row; align-content: center; width: 100%; margin-bottom: 100px; } #plotDiv { width: 70%; } .imgDiv { width: 50%; display: flex; justify-content: center; align-items: center; } img.hoverIMG { /* height: 550px; */ } path = \"https://www.lasso.de/fileadmin/ressources/ml-embedding-images/\" imgType = \"png\" const plotDiv = document.getElementById(\"plotDiv\") function initDocument(){ /* const userWidth = plotDiv.offsetWidth / 2 const userHeight = \"550px\" plotDiv.style = `width: ${Math.floor( userWidth * 0.65) - 10}px; height: ${userHeight-30}px; z-index: 10;` plotDiv.style = `width: ${Math.floor( userWidth * 0.25) - 10}px; height: ${userHeight-30}px; z-index: 1;` */ } function resizeContents(){ /* let userWidth = plotDiv.offsetWidth / 2 const userHeight = \"550px\" plotDiv.style = `width: ${Math.floor( userWidth * 0.65) - 10}px; height: ${userHeight-30}px; z-index: 10;` plotDiv.style = `width: ${Math.floor( userWidth * 0.25) - 10}px; height: ${userHeight-30}px: z-index: 1;` Plotly.Plots.resize(plotDiv) */ } initDocument() const runIDs = [['1000', '100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '10', '110', '111', '112', '113', '114', '115', '116', '117', '118', '119', '11', '120', '121', '122', '123', '124', '125', '126', '127', '128', '129', '12', '130', '131', '132', '133', '134', '135', '136', '137', '138', '139', '13', '140', '141', '142', '143', '144', '145', '146', '147', '148', '149', '14', '150', '151', '152', '153', '154', '155', '156', '157', '158', '159', '15', '160', '161', '162', '163', '164', '165', '166', '167', '168', '169', '16', '170', '171', '172', '173', '174', '175', '176', '177', '178', '179', '17', '180', '181', '182', '183', '184', '185', '186', '187', '188', '189', '18', '190', '191', '192', '193', '194', '195', '196', 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-1808.20153, -1552.65673, -1497.01902, -1581.24905, -1586.56829, -1594.57584, -1629.18614, -1569.73538, -1603.22399], }, layout = { paper_bgcolor: 'rgba(0,0,0,0)', plot_bgcolor: 'rgba(0,0,0,0)', scene: { yaxis: { title: 'sx' }, xaxis: { title: 'sy' }, zaxis: { title: 'sz' }, }, margin: { t: 30, l: 0, r: 0, b: 0, }, } config = { showLink: false, modeBarButtonsToRemove: ['sendDataToCloud'], responsive: true, } Plotly.plot(plotDiv, [trace0, ], layout, config) plotDiv.on('plotly_hover', data =>{ const runID = runIDs[data.points[0].curveNumber][data.points[0].pointNumber] document.getElementById(\"hoverIMG\").src = path+`/${runID}.`+imgType }) window.onresize = () => { resizeContents() }","title":"Example Visualization Report"},{"location":"dimred/command_line_interface/#quick-start","text":"You can call the command-line tool as follows: $ python -m lasso.dimred.run --help usage: run.py [-h] --reference-run REFERENCE_RUN [--exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]]] [--start-stage [START_STAGE]] [--end-stage [END_STAGE]] --project-dir PROJECT_DIR [--embedding-images EMBEDDING_IMAGES] [--logfile-filepath [LOGFILE_FILEPATH]] [--n-processes [N_PROCESSES]] [--part-ids [PART_IDS [PART_IDS ...]]] [--timestep TIMESTEP] [--cluster-args [CLUSTER_ARGS [CLUSTER_ARGS ...]]] [--outlier-args [OUTLIER_ARGS [OUTLIER_ARGS ...]]] [simulation_runs [simulation_runs ...]] Python utility script for dimensionality reduction. positional arguments: simulation_runs Simulation runs or patterns used to search for simulation runs. optional arguments: -h, --help show this help message and exit --reference-run REFERENCE_RUN Set the reference run instead of using the first entry in simulation runs. --exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]] Runs to exclude from the analysis. --start-stage [START_STAGE] At which specific stage to start the analysis (REFERENCE_RUN, IMPORT_RUNS, REDUCTION, CLUSTERING, EXPORT_PLOT). --end-stage [END_STAGE] At which specific stage to stop the analysis (REFERENCE_RUN, IMPORT_RUNS, REDUCTION, CLUSTERING, EXPORT_PLOT). --project-dir PROJECT_DIR Project dir for temporary files. Must be specified to allow restart at specific steps --embedding-images EMBEDDING_IMAGES Path to folder containing images of runs. Sample names must be numbers --logfile-filepath [LOGFILE_FILEPATH] Path for the logfile. A file will be created automatically if a project dir is specified. --n-processes [N_PROCESSES] Number of processes to use (default: n_cpu-1). --part-ids [PART_IDS [PART_IDS ...]] Part ids to process. By default all are taken. --timestep TIMESTEP Sets timestep to analyse. Uses last timestep if not set. --cluster-args [CLUSTER_ARGS [CLUSTER_ARGS ...]] Arguments for clustering algorithms. If not set, clustering will be skipped. --outlier-args [OUTLIER_ARGS [OUTLIER_ARGS ...]] Arguments for outlier detection befor clustering. Following arguments are required for the analysis: simulation-runs --project-dir] simulation-runs can be either tagged individually or by using placeholders for entire directories (e.g. '*.fz') and subdirectories (e.g. './**/*.fz'). Warning Every run clears respective steps of the generated .hdf5 file of previous runs, as well as the logfile.","title":"Quick Start"},{"location":"dimred/command_line_interface/#tutorial","text":"In this tutorial, we will introduce the application of the command-line utility and explain some of the arguments. Make sure to have some similar D3plots (20 should already be fine). At first we will only apply the required arguments: $ python -m lasso/dimred/run \\ $ user/tutorial/plots/plot*.fz \\ $ --project-dir user/tutorial/projectfolder The first required argument is the filepath to the folder containing the simulation runs. In our case, all plots are contained in the same folder. If each plot is saved in its own folder, the command would look like this: $ python -m lasso/dimred/run \\ $ user/tutorial/plots*/plot.fz \\ $ --project-dir user/tutorial/projectfolder The --project-dir argument specifies the folder where the project data is saved. This will be a project_buffer.hdf5 file, a logfile , and the 3d_beta_plot[hh:mm:ss].html output. Note that for each run, corresponding entries in the project_buffer.hdf5 and the logfile will be overwritten. How to access the results in the project_buffer.hdf5 file will be discussed later. Your output should look similar to this: ==== OPEN - LASSO ==== \u250f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2513 \u2503 n-processes \u2503 5 \u2503 \u2502 reference-run \u2502 user/tuorial/plots/plot0.fz \u2502 \u2502 project-dir \u2502 user/tutorial/projectfolder \u2502 \u2502 # simul.-files \u2502 35 \u2502 \u2502 # excluded files \u2502 0 \u2502 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 ---- Running Routines ---- [14:25:56] Reference Subsample ... [14:26:04] Loadtime Reference subample: 8.020 [14:26:04] Total time for Reference subample: 8.080 [14:26:04] Reference subsample completed [14:26:04] Subsampling Subsampling plots ... \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 35 of 35; [14:29:03] Average Time per Subsampling Process: 24.76 [14:29:03] Average Loadtime per sample: 24.55 [14:29:03] Subsampling completed [14:29:03] Dimension Reduction ... [14:29:04] Dimension Reduction completed [14:29:04] No arguments provided for clustering, clustering aborted [14:29:04] Creating .html viz [14:29:05] Finished creating viz The output provides information about the different stages of the dimred tool, as well as some additional information. This allows you to keep track of the tools progress. The following 5 stages are run through: REFERENCE_RUN: The reference run is subsampled and saved. The reference run is either the first entry of the simulation runs, or can be manually set with --reference-run IMPORT_RUNS: The provided simulation runs are loaded, and subsampled using the reference run. This process applies a nearest neighbor algorithm to match nodes between different meshes to compensate for different meshing. REDUCTION: The dimensionality reduction is performed. CLUSTERING: If clustering and outlier arguments are provided, the results will be further categorized. EXPORT_PLOT: The results are exported and saved as .html file. Note Your computer may slow down while using the tool. If you want to use other programs while waiting on the tool to finish, reduce the amount of cores with --n-processes","title":"Tutorial"},{"location":"dimred/command_line_interface/#start-and-end-stage","text":"Next, we will take a look at the --start-stage and --end-stage arguments. These allow to restart and end the command-line utility at certain points in the process. This is usefull if you don't want to repeat certain stages to save time, or want to end the process prematurly, e.g. don't want to generate the .html output. To set the desired start and end stage, use the the following keywords: REFERENCE_RUN IMPORT_RUNS REDUCTION CLUSTERING EXPORT_PLOT Example: $ python -m lasso/dimred/run \\ $ user/tutorial/plots \\ $ --project-dir user/tutorial/projectfolder \\ $ --start-stage REDUCTION \\ $ --end-stage CLUSTERING ==== OPEN - LASSO ==== \u250f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2513 \u2503 n-processes \u2503 5 \u2503 \u2502 reference-run \u2502 user/tutorial/plots/plot0.fz \u2502 \u2502 project-dir \u2502 user/tutorial/projectfolder \u2502 \u2502 # simul.-files \u2502 35 \u2502 \u2502 # excluded files \u2502 0 \u2502 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 ---- Running Routines ---- [14:45:28] Skipped import stage [14:45:28] Dimension Reduction ... [14:45:29] Dimension Reduction completed [14:45:29] No arguments provided for clustering, clustering aborted This process is much quicker, as the samples have already been loaded and subsampled. Note that this only works, if the stages before the selected start stage (here: REFERENCE_RUN and IMPORT_RUNS have already been processed before.","title":"Start and End stage"},{"location":"dimred/command_line_interface/#clustering-and-outlier-detection","text":"The dimred tool has an integrated functionality to cluster your results and detect outliers. Following cluster algorithms from the scikit sklearn library have been implemented: kmeans SpectralClustering DBScan Optics Additionally, you have access to the following outlier detection algorithms from the same library: IsolationForest LocalOutlierFactor OneClassSVM These classes have additional optional arguments, specified in their respective documentation. Here is an example on how to find two clusters with kmeans and detect oultiers with LocalOutlierFactor: $ python -m lasso/dimred/run \\ $ user/tutorial/plots \\ $ --project-dir user/tutorial/projectfolder \\ $ --reference-run user/tuorial/referenceplot \\ $ --start-stage REDUCTION \\ $ --cluster-arg kmeans n_clusters int 2 \\ $ --outlier-args LocalOutlierFactor !!! note> The argument n_clusters is followed by its type and then its value! The type of a keyword can be referenced by the appropriate sklearn documentation. Some types are not supported, make sure that they are either float , int or str . We skip the import stage again and add the --cluster-args and --outlier-args arguments, followed by the desired algorithm and optional additional arguments and their values.","title":"Clustering and outlier detection"},{"location":"dimred/command_line_interface/#accessing-the-results","text":"All results, as well as the subsamples and reference subsample are saved in the project_buffer.hdf5 file. You can access these in your own python scripts: import numpy as np import h5py h5py_path = \"user/tutorial/project_buffer.hdf5\" h5file = h5py . File ( h5py_path ) # access the reference subsamples: ref_sample = h5file [ \"subsample\" ][:] # create a numpy array containing displacement of all subsamples # this returns an array of shape (samples, timesteps, nodes, dims) np . stack ( h5file [ \"subsampled_runs\" ][ entry ][:] for entry in h5file [ \"subsampled_runs\" ] . keys ()]) # create a numpy array containg the right reduced order basis for projection: v_rob = h5file [ \"v_rob\" ][:] # the subsampled runs are projected into the right reduced order basis and called betas: betas = np . stack ([ h5file [ \"betas\" ][ entry ][:] for entry in h5file [ \"betas\" ] . keys ()]) These betas are used for the visulatization and if specified, clustering or outlier detection. In the visulatization, only the first 3 coefficients (betas) and only the last timestamp are accounted for. If you have provided clustering and outlier detection arguments, you can also access the different clusters: cluster_index = np . stack ([ h5file [ \"betas\" ][ entry ] . attrs [ \"cluster\" ] for entry in h5file [ \"betas\" ] . keys () ]) beta_clusters = [] for cluster in range ( h5file [ \"betas\" ] . attrs [ \"nr_clusters\" ]): beta_clusters . append ( betas [ np . where ( cluster_index == cluster )[ 0 ]]) The beta_clusters list contains lists of betas for each cluster. If outlier arguments have been provided, the first list contains all detected outliers.","title":"Accessing the results"},{"location":"dimred/command_line_interface/#faq","text":"","title":"FAQ"},{"location":"dimred/command_line_interface/#how-to-specify-a-path-to-the-displayed-images","text":"In the final HTML there is a menu on the left side. In it you can specify a path to the image folder, as well as the file-ending. Be aware: The names of the images must be a number starting at 0 .","title":"How to specify a path to the displayed images?"},{"location":"dimred/plot_beta_clusters/","text":"Plot beta clusters Functions converting input list of clusters and corresponding ids into a .html page visualizing the results as a 3D Plot plot_clusters_js ( beta_cluster , id_cluster , save_path , img_path = None , mark_outliers = False , mark_timestamp = True , filename = '3d_beta_plot' , write = True , show_res = True ) Creates a .html visualization of input data Parameters: Name Type Description Default beta_cluster Sequence Numpy array containing beta clusters required id_cluster Union [ np . ndarray , Sequence ] Numpy array or sequence containing the ids samples in clusters. Must be of same structure as beta_clusters required save_path str Where to save the .html visualization required img_path Union [None, str ] Path to images of samples None mark_outliers bool Set to True if first entry in beta_cluster are outliers False mark_timestamp bool Set to True if name of visualization shall contain time of creation. If set to False, visualization will override previous file True filename str Name of .hmtl file '3d_beta_plot' write bool Set to False to not write .html file and return as string instead True show_res bool Set to False to not open resulting page in webbrowser True Returns: Name Type Description html_str_formatted str If write=False returns .hmtl file as string, else None","title":"plot_beta_clusters"},{"location":"dimred/plot_beta_clusters/#plot-beta-clusters","text":"Functions converting input list of clusters and corresponding ids into a .html page visualizing the results as a 3D Plot","title":"Plot beta clusters"},{"location":"dimred/plot_beta_clusters/#lasso.dimred.svd.plot_beta_clusters.plot_clusters_js","text":"Creates a .html visualization of input data Parameters: Name Type Description Default beta_cluster Sequence Numpy array containing beta clusters required id_cluster Union [ np . ndarray , Sequence ] Numpy array or sequence containing the ids samples in clusters. Must be of same structure as beta_clusters required save_path str Where to save the .html visualization required img_path Union [None, str ] Path to images of samples None mark_outliers bool Set to True if first entry in beta_cluster are outliers False mark_timestamp bool Set to True if name of visualization shall contain time of creation. If set to False, visualization will override previous file True filename str Name of .hmtl file '3d_beta_plot' write bool Set to False to not write .html file and return as string instead True show_res bool Set to False to not open resulting page in webbrowser True Returns: Name Type Description html_str_formatted str If write=False returns .hmtl file as string, else None","title":"plot_clusters_js()"},{"location":"dimred/pod_functions/","text":"POD Functions These functions are used for the proper orthogonal decomposition of samples calculate_v_and_betas ( stacked_sub_displ , progress_bar = None , task_id = None ) Calculates the right reduced order Basis V and up to 10 eigenvalues of the subsamples Parameters: Name Type Description Default stacked_sub_displ np . ndarray np.ndarray containing all subsampled displacements shape must be (samples, timesteps, nodes, dims) required Returns: Name Type Description v_big np . ndarray Reduced order basis to transform betas bag into subsamples betas np . ndarray Projected simulation runs err_msg str Error message if not enough samples where provided svd_step_and_dim ( s_mat , k = 10 ) Performs a svds operation on the two dimensional s_mat Parameters: Name Type Description Default s_mat np . ndarray 2D array on which the svds operation shall be performed required k The size of the POD 10 Returns: Name Type Description v ndarray Array containing the right reduced order basis","title":"pod_functions"},{"location":"dimred/pod_functions/#pod-functions","text":"These functions are used for the proper orthogonal decomposition of samples","title":"POD Functions"},{"location":"dimred/pod_functions/#lasso.dimred.svd.pod_functions.calculate_v_and_betas","text":"Calculates the right reduced order Basis V and up to 10 eigenvalues of the subsamples Parameters: Name Type Description Default stacked_sub_displ np . ndarray np.ndarray containing all subsampled displacements shape must be (samples, timesteps, nodes, dims) required Returns: Name Type Description v_big np . ndarray Reduced order basis to transform betas bag into subsamples betas np . ndarray Projected simulation runs err_msg str Error message if not enough samples where provided","title":"calculate_v_and_betas()"},{"location":"dimred/pod_functions/#lasso.dimred.svd.pod_functions.svd_step_and_dim","text":"Performs a svds operation on the two dimensional s_mat Parameters: Name Type Description Default s_mat np . ndarray 2D array on which the svds operation shall be performed required k The size of the POD 10 Returns: Name Type Description v ndarray Array containing the right reduced order basis","title":"svd_step_and_dim()"},{"location":"dimred/subsampling_methods/","text":"Subsampling Methods Methods used to perform subsampling of simulation runs. create_reference_subsample ( load_path , parts , nr_samples = 2000 ) Loads the D3plot at load_path, extracts the node coordinates of part 13, returns a random subsample of these nodes Parameters: Name Type Description Default load_path str Filepath of the D3plot required parts Sequence [ int ] List of parts to be extracted required nr_samples How many nodes are subsampled 2000 Returns: Name Type Description reference_sample np . array Numpy array containing the reference sample t_total float Total time required for subsampling t_load float Time required to load plot err_msg str If an error occurs, a string containing the error is returned instead remap_random_subsample ( load_path , parts , reference_subsample ) Remaps the specified sample onto a new mesh provided by reference subsampl, using knn matching Parameters: Name Type Description Default load_path str Filepath of the desired D3plot required parts list Which parts shall be extracted from the D3plot required reference_subsample np . ndarray Numpy array containing the reference nodes required Returns: Name Type Description subsampled_displacement np . ndarray Subsampled displacement of provided sample t_total float Total time required to perform subsampling t_load float Time required to load D3plot err_msg str If an error occured, a string is returned instead containing the error","title":"subsampling_methods"},{"location":"dimred/subsampling_methods/#subsampling-methods","text":"Methods used to perform subsampling of simulation runs.","title":"Subsampling Methods"},{"location":"dimred/subsampling_methods/#lasso.dimred.svd.subsampling_methods.create_reference_subsample","text":"Loads the D3plot at load_path, extracts the node coordinates of part 13, returns a random subsample of these nodes Parameters: Name Type Description Default load_path str Filepath of the D3plot required parts Sequence [ int ] List of parts to be extracted required nr_samples How many nodes are subsampled 2000 Returns: Name Type Description reference_sample np . array Numpy array containing the reference sample t_total float Total time required for subsampling t_load float Time required to load plot err_msg str If an error occurs, a string containing the error is returned instead","title":"create_reference_subsample()"},{"location":"dimred/subsampling_methods/#lasso.dimred.svd.subsampling_methods.remap_random_subsample","text":"Remaps the specified sample onto a new mesh provided by reference subsampl, using knn matching Parameters: Name Type Description Default load_path str Filepath of the desired D3plot required parts list Which parts shall be extracted from the D3plot required reference_subsample np . ndarray Numpy array containing the reference nodes required Returns: Name Type Description subsampled_displacement np . ndarray Subsampled displacement of provided sample t_total float Total time required to perform subsampling t_load float Time required to load D3plot err_msg str If an error occured, a string is returned instead containing the error","title":"remap_random_subsample()"},{"location":"dimred/svd/","text":"Module lasso.dimred.svd Module containing the methods and functions used by DimredRun subsampling_methods pod_functions clustering_betas plot_beta_clusters KeywordTypes","title":"Description"},{"location":"dimred/svd/#module-lassodimredsvd","text":"Module containing the methods and functions used by DimredRun subsampling_methods pod_functions clustering_betas plot_beta_clusters KeywordTypes","title":"Module lasso.dimred.svd"},{"location":"dyna/","text":"lasso.dyna The dyna module contains classes to read, write and display LS-Dyna result files. For a detailed list of features, see the following list: D3plot Read & Write Beam, Shell, Solid, TShell Results Element/Node deletion Part Metadata Material Type Data Rigid Body Data Rigid Road Data SPH Particles Plot shell-based parts as 3D HTML Binout Read & Write Note The D3plot reader can process almost every structural result or results connected to it such as airbag results. Multi-Solver data though and connected results are not supported. D3plot Example >>> from lasso.dyna import D3plot , ArrayType , FilterType >>> # read a file (zero-copy reading of everything) >>> d3plot = D3plot ( \"path/to/d3plot\" ) >>> # read file >>> # - buffered (less memory usage) >>> # - only node displacements (safes memory) >>> # - read only first and last state >>> d3plot = D3plot ( \"path/to/d3plot\" , >>> state_array_filter = [ \"node_displacement\" ], >>> buffered_reading = True , >>> state_filter = { 0 , - 1 }) >>> # and of course femzipped files >>> d3plot = D3plot ( \"path/to/d3plot.fz\" ) >>> # get arrays (see docs of ArrayType for shape info) >>> disp = d3plot . arrays [ \"node_displacement\" ] >>> disp . shape ( 34 , 51723 , 3 ) >>> # this is safer and has auto-completion >>> disp = d3plot . arrays [ ArrayType . node_displacement ] >>> # filter elements for certain parts >>> pstrain = d3plot . arrays [ ArrayType . element_shell_effective_plastic_strain ] >>> pstrain . shape ( 34 , 56372 , 3 ) >>> mask = d3plot . get_part_filter ( FilterType . SHELL , [ 44 , 45 ]) >>> # filter elements with mask >>> pstrain [:, mask ] . shape ( 34 , 17392 , 3 ) >>> # create a standalone html plot >>> d3plot . plot ()","title":"Overview"},{"location":"dyna/#lassodyna","text":"The dyna module contains classes to read, write and display LS-Dyna result files. For a detailed list of features, see the following list: D3plot Read & Write Beam, Shell, Solid, TShell Results Element/Node deletion Part Metadata Material Type Data Rigid Body Data Rigid Road Data SPH Particles Plot shell-based parts as 3D HTML Binout Read & Write Note The D3plot reader can process almost every structural result or results connected to it such as airbag results. Multi-Solver data though and connected results are not supported.","title":"lasso.dyna"},{"location":"dyna/#d3plot-example","text":">>> from lasso.dyna import D3plot , ArrayType , FilterType >>> # read a file (zero-copy reading of everything) >>> d3plot = D3plot ( \"path/to/d3plot\" ) >>> # read file >>> # - buffered (less memory usage) >>> # - only node displacements (safes memory) >>> # - read only first and last state >>> d3plot = D3plot ( \"path/to/d3plot\" , >>> state_array_filter = [ \"node_displacement\" ], >>> buffered_reading = True , >>> state_filter = { 0 , - 1 }) >>> # and of course femzipped files >>> d3plot = D3plot ( \"path/to/d3plot.fz\" ) >>> # get arrays (see docs of ArrayType for shape info) >>> disp = d3plot . arrays [ \"node_displacement\" ] >>> disp . shape ( 34 , 51723 , 3 ) >>> # this is safer and has auto-completion >>> disp = d3plot . arrays [ ArrayType . node_displacement ] >>> # filter elements for certain parts >>> pstrain = d3plot . arrays [ ArrayType . element_shell_effective_plastic_strain ] >>> pstrain . shape ( 34 , 56372 , 3 ) >>> mask = d3plot . get_part_filter ( FilterType . SHELL , [ 44 , 45 ]) >>> # filter elements with mask >>> pstrain [:, mask ] . shape ( 34 , 17392 , 3 ) >>> # create a standalone html plot >>> d3plot . plot ()","title":"D3plot Example"},{"location":"dyna/ArrayType/","text":"ArrayType Specifies the names for specific arrays Enums from this class shall be used as a preferred practice instead of the string array names to ensure compatibility. Attributes: Name Type Description global_timesteps str array shape: (n_timesteps) global_kinetic_energy str array shape: (n_timesteps) global_internal_energy str array shape: (n_timesteps) global_total_energy str array shape: (n_timesteps) global_velocity str array shape: (n_timesteps) node_ids str array shape: (n_nodes) node_coordinates str array shape: (n_nodes, x_y_z) node_displacement str array shape: (n_states, n_nodes, x_y_z) node_velocity str array shape: (n_states, n_nodes, x_y_z) node_acceleration str array shape: (n_states, n_nodes, x_y_z) node_is_alive str array shape: (n_states, n_nodes) node_temperature str array shape: (n_states, n_nodes) or (n_states, n_nodes, 3) node_heat_flux str array shape: (n_states, n_nodes, 3) node_mass_scaling str array shape: (n_states, n_nodes) node_temperature_gradient str array shape: (n_states, n_nodes) node_residual_forces str array shape: (n_states, n_nodes, fx_fy_fz) node_residual_moments str array shape: (n_states, n_nodes, mx_my_mz) element_solid_node_indexes str array shape: (n_solids, 8) element_solid_part_indexes str array shape: (n_solids) element_solid_ids str array shape: (n_solids) element_solid_thermal_data str array shape: (n_states, n_solids, n_solids_thermal_vars) element_solid_stress str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_effective_plastic_strain str array shape: (n_states, n_solid_layers, n_solids) element_solid_history_variables str array shape: (n_states, n_solids, n_solid_layers, n_solids_history_vars) element_solid_strain str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_plastic_strain_tensor str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_thermal_strain_tensor str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_is_alive str array shape: (n_states, n_solids) element_solid_extra_nodes str array shape: (n_solids, 2) element_solid_node10_extra_node_indexes str array shape: (n_solids, 2) element_solid_node20_element_index str array shape: (n_node20_solids) element_solid_node20_extra_node_indexes str array shape: (n_node20_solids, 12) element_solid_node27_element_index str array shape: (n_node27_solids) element_solid_node27_extra_node_indexes str array shape: (n_node27_solids, 27) element_solid_node21_penta_element_index str array shape: (n_node21p_solids) element_solid_node21_penta_extra_node_indexes str array shape: (n_node21p_solids, 21) element_solid_node15_tetras_element_index str array shape: (n_node15t_solids) element_solid_node15_tetras_extra_node_indexes str array shape: (n_node15t_solids, 7) element_solid_node20_tetras_element_index str array shape: (n_node20t_solids) element_solid_node20_tetras_extra_node_indexes str array shape: (n_node20t_solids, 20) element_solid_node40_pentas_element_index str array shape: (n_node40h_solids) element_solid_node40_pentas_extra_node_indexes str array shape: (n_node40h_solids, 40) element_solid_node64_hexas_element_index str array shape: (n_node64h_solids) element_solid_node64_hexas_extra_node_indexes str array shape: (n_node64h_solids, 64) element_tshell_part_indexes str array shape: (n_tshells) element_tshell_node_indexes str array shape: (n_tshells, 8) element_tshell_ids str array shape: (n_tshells) element_tshell_stress str array shape: (n_states, n_tshells, n_tshells_layers, xx_yy_zz_xy_yz_xz) element_tshell_effective_plastic_strain str array shape: (n_states, n_tshells, n_tshells_layers) element_tshell_history_variables str array shape: (n_states, n_tshells, n_tshells_layers, xx_yy_zz_xy_yz_xz) element_tshell_is_alive str array shape: (n_states, n_tshells) element_tshell_strain str array shape: (n_states, n_tshells, upper_lower, xx_yy_zz_xy_yz_xz) element_beam_part_indexes str array shape: (n_beams) element_beam_node_indexes str array shape: (n_beams, 5) element_beam_ids str array shape: (n_beams) element_beam_axial_force str array shape: (n_states, n_beams) element_beam_shear_force str array shape: (n_states, n_beams, s_t) element_beam_bending_moment str array shape: (n_states, n_beams, s_t) element_beam_torsion_moment str array shape: (n_states, n_beams) element_beam_shear_stress str array shape: (n_states, n_beams, n_beams_layers, rs_rt) element_beam_axial_stress str array shape: (n_states, n_beams, n_beams_layers) element_beam_plastic_strain str array shape: (n_states, n_beams, n_beams_layers) element_beam_axial_strain str array shape: (n_states, n_beams, n_beams_layers) element_beam_history_vars str array shape: (n_states, n_beams, n_beams_layers+3, n_beams_history_vars) element_beam_is_alive str array shape: (n_states, n_beams) element_shell_part_indexes str array shape (n_shells, 4) element_shell_node_indexes str array shape (n_shells) element_shell_ids str array shape (n_shells) element_shell_stress str array shape (n_states, n_shells_non_rigid, n_shell_layers, xx_yy_zz_xy_yz_xz) element_shell_effective_plastic_strain str array shape (n_states, n_shells_non_rigid, n_shell_layers) element_shell_history_vars str array shape (n_states, n_shells_non_rigid, n_shell_layers, n_shell_history_vars) element_shell_bending_moment str array shape (n_states, n_shells_non_rigid, mx_my_mxy) element_shell_shear_force str array shape (n_states, n_shells_non_rigid, qx_qy) element_shell_normal_force str array shape (n_states, n_shells_non_rigid, nx_ny_nxy) element_shell_thickness str array shape (n_states, n_shells_non_rigid) element_shell_unknown_variables str array shape (n_states, n_shells_non_rigid, 2) element_shell_internal_energy str array shape (n_states, n_shells_non_rigid) element_shell_strain str array shape (n_states, n_shells_non_rigid, upper_lower, xx_yy_zz_xy_yz_xz) element_shell_is_alive str array shape (n_states, n_shells_non_rigid) element_shell_node8_extra_node_indexes str array shape (n_shells, 4) element_shell_node8_element_index str array shape: (n_shells) element_shell_plastic_strain_tensor str array shape(n_states, n_shells_non_rigid, n_layers, 6) element_shell_thermal_strain_tensor str array shape(n_states, n_shells_non_rigid, 6) part_material_type str array shape: (n_parts) part_ids str array shape: (n_parts) part_ids_unordered str array shape: (n_parts) part_ids_cross_references str array shape: (n_parts) part_titles str array shape: (n_parts) part_titles_ids str array shape: (n_parts) part_internal_energy str array shape: (n_states, n_parts) part_kinetic_energy str array shape: (n_states, n_parts) part_velocity str array shape: (n_states, n_parts, x_y_z) part_mass str array shape: (n_states, n_parts) part_hourglass_energy str array shape: (n_states, n_parts) sph_node_indexes str array shape: (n_sph_nodes) sph_node_material_index str array shape: (n_sph_nodes) sph_is_alive str array shape: (n_states, n_sph_particles) sph_radius str array shape: (n_states, n_sph_particles) sph_pressure str array shape: (n_states, n_sph_particles) sph_stress str array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz) sph_effective_plastic_strain str array shape: (n_states, n_sph_particles) sph_density str array shape: (n_states, n_sph_particles) sph_internal_energy str array shape: (n_states, n_sph_particles) sph_n_neighbors str array shape: (n_states, n_sph_particles) sph_strain str array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz) sph_strainrate str array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz) sph_mass str array shape: (n_states, n_sph_particles) sph_deletion str array shape: (n_states, n_sph_particles) sph_history_vars str array shape: (n_states, n_sph_particles, n_sph_history_vars) airbag_variable_names str array shape: (n_variables) airbag_variable_types str array shape: (n_variables) airbags_first_particle_id str array shape: (n_airbags) airbags_n_particles str array shape: (n_airbags) airbags_ids str array shape: (n_airbags) airbags_n_gas_mixtures str array shape: (n_airbags) airbags_n_chambers str array shape: (n_airbags) airbag_n_active_particles str array shape: (n_states, n_airbags) airbag_bag_volume str array shape: (n_states, n_airbags) airbag_particle_gas_id str array shape: (n_states, n_airbag_particles) airbag_particle_chamber_id str array shape: (n_states, n_airbag_particles) airbag_particle_leakage str array shape: (n_states, n_airbag_particles) airbag_particle_mass str array shape: (n_states, n_airbag_particles) airbag_particle_radius str array shape: (n_states, n_airbag_particles) airbag_particle_spin_energy str array shape: (n_states, n_airbag_particles) airbag_particle_translation_energy str array shape: (n_states, n_airbag_particles) airbag_particle_nearest_segment_distance str array shape: (n_states, n_airbag_particles) airbag_particle_position str array shape: (n_states, n_airbag_particles, x_y_z) airbag_particle_velocity str array shape: (n_states, n_airbag_particles, x_y_z) rigid_road_node_ids str array shape: (rigid_road_n_nodes) rigid_road_node_coordinates str array shape: (rigid_road_n_nodes, x_y_z) rigid_road_ids str array shape: (n_roads) rigid_road_n_segments str array shape: (n_roads) rigid_road_segment_node_ids str list!: (n_roads, 4*n_road_segments) rigid_road_segment_road_id str list!: (n_roads, n_road_segments) rigid_road_displacement str array shape: (n_states, n_roads, x_y_z) rigid_road_velocity str array shape: (n_states, n_roads, x_y_z) rigid_body_part_indexes str array shape: (n_rigid_bodies) rigid_body_n_nodes str array shape: (n_rigid_bodies) rigid_body_node_indexes_list str list!: (n_rigid_bodies, n_rigid_body_nodes (differs)) rigid_body_n_active_nodes str array shape: (n_rigid_bodies) rigid_body_active_node_indexes_list str list!: (n_rigid_bodies, n_rigid_body_nodes (differs)) rigid_body_coordinates str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_rotation_matrix str array shape: (n_states, n_rigid_bodies, 9) rigid_body_velocity str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_rot_velocity str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_acceleration str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_rot_acceleration str array shape: (n_states, n_rigid_bodies, x_y_z) contact_title_ids str array shape: (n_contacts) contact_titles str array shape: (n_contacts) ale_material_ids str array shape: (n_ale_material) rigid_wall_force str array shape: (n_states, n_rigid_walls) rigid_wall_position str array shape: (n_states, n_rigid_walls, x_y_z) get_state_array_names () staticmethod Get the names of all state arrays Returns: state_array_names: List[str] list of state array names","title":"ArrayType"},{"location":"dyna/ArrayType/#arraytype","text":"Specifies the names for specific arrays Enums from this class shall be used as a preferred practice instead of the string array names to ensure compatibility. Attributes: Name Type Description global_timesteps str array shape: (n_timesteps) global_kinetic_energy str array shape: (n_timesteps) global_internal_energy str array shape: (n_timesteps) global_total_energy str array shape: (n_timesteps) global_velocity str array shape: (n_timesteps) node_ids str array shape: (n_nodes) node_coordinates str array shape: (n_nodes, x_y_z) node_displacement str array shape: (n_states, n_nodes, x_y_z) node_velocity str array shape: (n_states, n_nodes, x_y_z) node_acceleration str array shape: (n_states, n_nodes, x_y_z) node_is_alive str array shape: (n_states, n_nodes) node_temperature str array shape: (n_states, n_nodes) or (n_states, n_nodes, 3) node_heat_flux str array shape: (n_states, n_nodes, 3) node_mass_scaling str array shape: (n_states, n_nodes) node_temperature_gradient str array shape: (n_states, n_nodes) node_residual_forces str array shape: (n_states, n_nodes, fx_fy_fz) node_residual_moments str array shape: (n_states, n_nodes, mx_my_mz) element_solid_node_indexes str array shape: (n_solids, 8) element_solid_part_indexes str array shape: (n_solids) element_solid_ids str array shape: (n_solids) element_solid_thermal_data str array shape: (n_states, n_solids, n_solids_thermal_vars) element_solid_stress str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_effective_plastic_strain str array shape: (n_states, n_solid_layers, n_solids) element_solid_history_variables str array shape: (n_states, n_solids, n_solid_layers, n_solids_history_vars) element_solid_strain str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_plastic_strain_tensor str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_thermal_strain_tensor str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_is_alive str array shape: (n_states, n_solids) element_solid_extra_nodes str array shape: (n_solids, 2) element_solid_node10_extra_node_indexes str array shape: (n_solids, 2) element_solid_node20_element_index str array shape: (n_node20_solids) element_solid_node20_extra_node_indexes str array shape: (n_node20_solids, 12) element_solid_node27_element_index str array shape: (n_node27_solids) element_solid_node27_extra_node_indexes str array shape: (n_node27_solids, 27) element_solid_node21_penta_element_index str array shape: (n_node21p_solids) element_solid_node21_penta_extra_node_indexes str array shape: (n_node21p_solids, 21) element_solid_node15_tetras_element_index str array shape: (n_node15t_solids) element_solid_node15_tetras_extra_node_indexes str array shape: (n_node15t_solids, 7) element_solid_node20_tetras_element_index str array shape: (n_node20t_solids) element_solid_node20_tetras_extra_node_indexes str array shape: (n_node20t_solids, 20) element_solid_node40_pentas_element_index str array shape: (n_node40h_solids) element_solid_node40_pentas_extra_node_indexes str array shape: (n_node40h_solids, 40) element_solid_node64_hexas_element_index str array shape: (n_node64h_solids) element_solid_node64_hexas_extra_node_indexes str array shape: (n_node64h_solids, 64) element_tshell_part_indexes str array shape: (n_tshells) element_tshell_node_indexes str array shape: (n_tshells, 8) element_tshell_ids str array shape: (n_tshells) element_tshell_stress str array shape: (n_states, n_tshells, n_tshells_layers, xx_yy_zz_xy_yz_xz) element_tshell_effective_plastic_strain str array shape: (n_states, n_tshells, n_tshells_layers) element_tshell_history_variables str array shape: (n_states, n_tshells, n_tshells_layers, xx_yy_zz_xy_yz_xz) element_tshell_is_alive str array shape: (n_states, n_tshells) element_tshell_strain str array shape: (n_states, n_tshells, upper_lower, xx_yy_zz_xy_yz_xz) element_beam_part_indexes str array shape: (n_beams) element_beam_node_indexes str array shape: (n_beams, 5) element_beam_ids str array shape: (n_beams) element_beam_axial_force str array shape: (n_states, n_beams) element_beam_shear_force str array shape: (n_states, n_beams, s_t) element_beam_bending_moment str array shape: (n_states, n_beams, s_t) element_beam_torsion_moment str array shape: (n_states, n_beams) element_beam_shear_stress str array shape: (n_states, n_beams, n_beams_layers, rs_rt) element_beam_axial_stress str array shape: (n_states, n_beams, n_beams_layers) element_beam_plastic_strain str array shape: (n_states, n_beams, n_beams_layers) element_beam_axial_strain str array shape: (n_states, n_beams, n_beams_layers) element_beam_history_vars str array shape: (n_states, n_beams, n_beams_layers+3, n_beams_history_vars) element_beam_is_alive str array shape: (n_states, n_beams) element_shell_part_indexes str array shape (n_shells, 4) element_shell_node_indexes str array shape (n_shells) element_shell_ids str array shape (n_shells) element_shell_stress str array shape (n_states, n_shells_non_rigid, n_shell_layers, xx_yy_zz_xy_yz_xz) element_shell_effective_plastic_strain str array shape (n_states, n_shells_non_rigid, n_shell_layers) element_shell_history_vars str array shape (n_states, n_shells_non_rigid, n_shell_layers, n_shell_history_vars) element_shell_bending_moment str array shape (n_states, n_shells_non_rigid, mx_my_mxy) element_shell_shear_force str array shape (n_states, n_shells_non_rigid, qx_qy) element_shell_normal_force str array shape (n_states, n_shells_non_rigid, nx_ny_nxy) element_shell_thickness str array shape (n_states, n_shells_non_rigid) element_shell_unknown_variables str array shape (n_states, n_shells_non_rigid, 2) element_shell_internal_energy str array shape (n_states, n_shells_non_rigid) element_shell_strain str array shape (n_states, n_shells_non_rigid, upper_lower, xx_yy_zz_xy_yz_xz) element_shell_is_alive str array shape (n_states, n_shells_non_rigid) element_shell_node8_extra_node_indexes str array shape (n_shells, 4) element_shell_node8_element_index str array shape: (n_shells) element_shell_plastic_strain_tensor str array shape(n_states, n_shells_non_rigid, n_layers, 6) element_shell_thermal_strain_tensor str array shape(n_states, n_shells_non_rigid, 6) part_material_type str array shape: (n_parts) part_ids str array shape: (n_parts) part_ids_unordered str array shape: (n_parts) part_ids_cross_references str array shape: (n_parts) part_titles str array shape: (n_parts) part_titles_ids str array shape: (n_parts) part_internal_energy str array shape: (n_states, n_parts) part_kinetic_energy str array shape: (n_states, n_parts) part_velocity str array shape: (n_states, n_parts, x_y_z) part_mass str array shape: (n_states, n_parts) part_hourglass_energy str array shape: (n_states, n_parts) sph_node_indexes str array shape: (n_sph_nodes) sph_node_material_index str array shape: (n_sph_nodes) sph_is_alive str array shape: (n_states, n_sph_particles) sph_radius str array shape: (n_states, n_sph_particles) sph_pressure str array shape: (n_states, n_sph_particles) sph_stress str array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz) sph_effective_plastic_strain str array shape: (n_states, n_sph_particles) sph_density str array shape: (n_states, n_sph_particles) sph_internal_energy str array shape: (n_states, n_sph_particles) sph_n_neighbors str array shape: (n_states, n_sph_particles) sph_strain str array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz) sph_strainrate str array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz) sph_mass str array shape: (n_states, n_sph_particles) sph_deletion str array shape: (n_states, n_sph_particles) sph_history_vars str array shape: (n_states, n_sph_particles, n_sph_history_vars) airbag_variable_names str array shape: (n_variables) airbag_variable_types str array shape: (n_variables) airbags_first_particle_id str array shape: (n_airbags) airbags_n_particles str array shape: (n_airbags) airbags_ids str array shape: (n_airbags) airbags_n_gas_mixtures str array shape: (n_airbags) airbags_n_chambers str array shape: (n_airbags) airbag_n_active_particles str array shape: (n_states, n_airbags) airbag_bag_volume str array shape: (n_states, n_airbags) airbag_particle_gas_id str array shape: (n_states, n_airbag_particles) airbag_particle_chamber_id str array shape: (n_states, n_airbag_particles) airbag_particle_leakage str array shape: (n_states, n_airbag_particles) airbag_particle_mass str array shape: (n_states, n_airbag_particles) airbag_particle_radius str array shape: (n_states, n_airbag_particles) airbag_particle_spin_energy str array shape: (n_states, n_airbag_particles) airbag_particle_translation_energy str array shape: (n_states, n_airbag_particles) airbag_particle_nearest_segment_distance str array shape: (n_states, n_airbag_particles) airbag_particle_position str array shape: (n_states, n_airbag_particles, x_y_z) airbag_particle_velocity str array shape: (n_states, n_airbag_particles, x_y_z) rigid_road_node_ids str array shape: (rigid_road_n_nodes) rigid_road_node_coordinates str array shape: (rigid_road_n_nodes, x_y_z) rigid_road_ids str array shape: (n_roads) rigid_road_n_segments str array shape: (n_roads) rigid_road_segment_node_ids str list!: (n_roads, 4*n_road_segments) rigid_road_segment_road_id str list!: (n_roads, n_road_segments) rigid_road_displacement str array shape: (n_states, n_roads, x_y_z) rigid_road_velocity str array shape: (n_states, n_roads, x_y_z) rigid_body_part_indexes str array shape: (n_rigid_bodies) rigid_body_n_nodes str array shape: (n_rigid_bodies) rigid_body_node_indexes_list str list!: (n_rigid_bodies, n_rigid_body_nodes (differs)) rigid_body_n_active_nodes str array shape: (n_rigid_bodies) rigid_body_active_node_indexes_list str list!: (n_rigid_bodies, n_rigid_body_nodes (differs)) rigid_body_coordinates str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_rotation_matrix str array shape: (n_states, n_rigid_bodies, 9) rigid_body_velocity str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_rot_velocity str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_acceleration str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_rot_acceleration str array shape: (n_states, n_rigid_bodies, x_y_z) contact_title_ids str array shape: (n_contacts) contact_titles str array shape: (n_contacts) ale_material_ids str array shape: (n_ale_material) rigid_wall_force str array shape: (n_states, n_rigid_walls) rigid_wall_position str array shape: (n_states, n_rigid_walls, x_y_z)","title":"ArrayType"},{"location":"dyna/ArrayType/#lasso.dyna.array_type.ArrayType.get_state_array_names","text":"Get the names of all state arrays","title":"get_state_array_names()"},{"location":"dyna/ArrayType/#lasso.dyna.array_type.ArrayType.get_state_array_names--returns","text":"state_array_names: List[str] list of state array names","title":"Returns:"},{"location":"dyna/Binout/","text":"Binout There is a youtube tutorial available for this class: This class is meant to read binouts from LS-Dyna Parameters: Name Type Description Default filepath str Path to the binout to read. May contain * (glob) for selecting multiple files. required Attributes: Name Type Description filelist List [ str ] List of files which are opened. lsda: Lsda The underlying LS-Dyna binout reader instance from code from LSTC. lsda_root: Symbol Root lsda symbol which is like a root directory to traverse the content of the binout file. Notes This class is only a utility wrapper for Lsda from LSTC. Examples: >>> binout = Binout(\"path/to/binout\") __init__ ( filepath ) Constructor for a binout Parameters: Name Type Description Default filepath str path to the binout or pattern required Notes The class loads the file given in the filepath. By giving a search pattern such as: \"binout*\", all files with that pattern will be loaded. Examples: >>> # reads a single binout >>> binout = Binout(\"path/to/binout0000\") >>> binout.filelist ['path/to/binout0000'] >>> # reads multiple files >>> binout = Binout(\"path/to/binout*\") >>> binout.filelist ['path/to/binout0000','path/to/binout0001'] as_df ( * args ) read data and convert to pandas dataframe if possible Parameters: Name Type Description Default *args internal path in the folder structure of the binout () Returns: Name Type Description df pandas . DataFrame data converted to pandas dataframe Raises: Type Description ValueError if the data cannot be converted to a pandas dataframe Examples: >>> from lasso.dyna import Binout >>> binout = Binout('path/to/binout') Read a time-dependent array. >>> binout.as_df('glstat', 'eroded_kinetic_energy') time 0.00000 0.000000 0.19971 0.000000 0.39942 0.000000 0.59976 0.000000 0.79947 0.000000 ... 119.19978 105.220786 119.39949 105.220786 119.59983 105.220786 119.79954 105.220786 119.99988 105.220786 Name: eroded_kinetic_energy, Length: 601, dtype: float64 Read a time and id-dependent array. >>> binout.as_df('secforc', 'x_force') 1 2 3 ... 33 34 time . 0.00063 2.168547e-16 2.275245e-15 -3.118639e-14 ... -5.126108e-13 4.592941e-16 0.20034 3.514243e-04 3.797908e-04 -1.701294e-03 ... 2.530416e-11 2.755493e-07 0.40005 3.052490e-03 3.242951e-02 -2.699926e-02 ... 6.755315e-06 -2.608923e-03 0.60039 -1.299816e-02 4.930999e-02 -1.632376e-02 ... 8.941705e-05 -2.203455e-02 0.80010 1.178485e-02 4.904512e-02 -9.740204e-03 ... 5.648263e-05 -6.999854e-02 ... ... ... ... ... ... ... 119.00007 9.737679e-01 -8.833702e+00 1.298964e+01 ... -9.977377e-02 7.883521e+00 119.20041 7.421170e-01 -8.849411e+00 1.253505e+01 ... -1.845916e-01 7.791409e+00 119.40012 9.946615e-01 -8.541475e+00 1.188757e+01 ... -3.662228e-02 7.675800e+00 119.60046 9.677638e-01 -8.566695e+00 1.130774e+01 ... 5.144208e-02 7.273052e+00 119.80017 1.035165e+00 -8.040828e+00 1.124044e+01 ... -1.213450e-02 7.188395e+00 read ( * path ) Read all data from Binout (top to low level) Parameters: Name Type Description Default path internal path in the folder structure of the binout () Returns: Name Type Description ret Union [ List [ str ], str , np . ndarray ] list of subdata within the folder or data itself (array or string) Notes This function is used to read any data from the binout. It has been used to make the access to the data more comfortable. The return type depends on the given path: - `binout.read()`: `List[str] names of directories (in binout) - `binout.read(dir)`: `List[str]` names of variables or subdirs - `binout.read(dir1, ..., variable)`: np.array data If you have multiple outputs with different ids (e.g. in nodout for multiple nodes) then don't forget to read the id array for identification or id-labels. Examples: >>> from lasso.dyna import Binout >>> binout = Binout(\"test/binout\") >>> # get top dirs >>> binout.read() ['swforc'] >>> binout.read(\"swforc\") ['title', 'failure', 'ids', 'failure_time', ...] >>> binout.read(\"swforc\",\"shear\").shape (321L, 26L) >>> binout.read(\"swforc\",\"ids\").shape (26L,) >>> binout.read(\"swforc\",\"ids\") array([52890, 52891, 52892, ...]) >>> # read a string value >>> binout.read(\"swforc\",\"date\") '11/05/2013' save_hdf5 ( filepath , compression = 'gzip' ) Save a binout as HDF5 Parameters: Name Type Description Default filepath path where the HDF5 shall be saved required compression compression technique (see h5py docs) 'gzip' Examples: >>> binout = Binout(\"path/to/binout\") >>> binout.save_hdf5(\"path/to/binout.h5\")","title":"Binout"},{"location":"dyna/Binout/#binout","text":"There is a youtube tutorial available for this class: This class is meant to read binouts from LS-Dyna Parameters: Name Type Description Default filepath str Path to the binout to read. May contain * (glob) for selecting multiple files. required Attributes: Name Type Description filelist List [ str ] List of files which are opened. lsda: Lsda The underlying LS-Dyna binout reader instance from code from LSTC. lsda_root: Symbol Root lsda symbol which is like a root directory to traverse the content of the binout file.","title":"Binout"},{"location":"dyna/Binout/#lasso.dyna.binout.Binout--notes","text":"This class is only a utility wrapper for Lsda from LSTC. Examples: >>> binout = Binout(\"path/to/binout\")","title":"Notes"},{"location":"dyna/Binout/#lasso.dyna.binout.Binout.__init__","text":"Constructor for a binout Parameters: Name Type Description Default filepath str path to the binout or pattern required","title":"__init__()"},{"location":"dyna/Binout/#lasso.dyna.binout.Binout.__init__--notes","text":"The class loads the file given in the filepath. By giving a search pattern such as: \"binout*\", all files with that pattern will be loaded. Examples: >>> # reads a single binout >>> binout = Binout(\"path/to/binout0000\") >>> binout.filelist ['path/to/binout0000'] >>> # reads multiple files >>> binout = Binout(\"path/to/binout*\") >>> binout.filelist ['path/to/binout0000','path/to/binout0001']","title":"Notes"},{"location":"dyna/Binout/#lasso.dyna.binout.Binout.as_df","text":"read data and convert to pandas dataframe if possible Parameters: Name Type Description Default *args internal path in the folder structure of the binout () Returns: Name Type Description df pandas . DataFrame data converted to pandas dataframe Raises: Type Description ValueError if the data cannot be converted to a pandas dataframe Examples: >>> from lasso.dyna import Binout >>> binout = Binout('path/to/binout') Read a time-dependent array. >>> binout.as_df('glstat', 'eroded_kinetic_energy') time 0.00000 0.000000 0.19971 0.000000 0.39942 0.000000 0.59976 0.000000 0.79947 0.000000 ... 119.19978 105.220786 119.39949 105.220786 119.59983 105.220786 119.79954 105.220786 119.99988 105.220786 Name: eroded_kinetic_energy, Length: 601, dtype: float64 Read a time and id-dependent array. >>> binout.as_df('secforc', 'x_force') 1 2 3 ... 33 34 time . 0.00063 2.168547e-16 2.275245e-15 -3.118639e-14 ... -5.126108e-13 4.592941e-16 0.20034 3.514243e-04 3.797908e-04 -1.701294e-03 ... 2.530416e-11 2.755493e-07 0.40005 3.052490e-03 3.242951e-02 -2.699926e-02 ... 6.755315e-06 -2.608923e-03 0.60039 -1.299816e-02 4.930999e-02 -1.632376e-02 ... 8.941705e-05 -2.203455e-02 0.80010 1.178485e-02 4.904512e-02 -9.740204e-03 ... 5.648263e-05 -6.999854e-02 ... ... ... ... ... ... ... 119.00007 9.737679e-01 -8.833702e+00 1.298964e+01 ... -9.977377e-02 7.883521e+00 119.20041 7.421170e-01 -8.849411e+00 1.253505e+01 ... -1.845916e-01 7.791409e+00 119.40012 9.946615e-01 -8.541475e+00 1.188757e+01 ... -3.662228e-02 7.675800e+00 119.60046 9.677638e-01 -8.566695e+00 1.130774e+01 ... 5.144208e-02 7.273052e+00 119.80017 1.035165e+00 -8.040828e+00 1.124044e+01 ... -1.213450e-02 7.188395e+00","title":"as_df()"},{"location":"dyna/Binout/#lasso.dyna.binout.Binout.read","text":"Read all data from Binout (top to low level) Parameters: Name Type Description Default path internal path in the folder structure of the binout () Returns: Name Type Description ret Union [ List [ str ], str , np . ndarray ] list of subdata within the folder or data itself (array or string)","title":"read()"},{"location":"dyna/Binout/#lasso.dyna.binout.Binout.read--notes","text":"This function is used to read any data from the binout. It has been used to make the access to the data more comfortable. The return type depends on the given path: - `binout.read()`: `List[str] names of directories (in binout) - `binout.read(dir)`: `List[str]` names of variables or subdirs - `binout.read(dir1, ..., variable)`: np.array data If you have multiple outputs with different ids (e.g. in nodout for multiple nodes) then don't forget to read the id array for identification or id-labels. Examples: >>> from lasso.dyna import Binout >>> binout = Binout(\"test/binout\") >>> # get top dirs >>> binout.read() ['swforc'] >>> binout.read(\"swforc\") ['title', 'failure', 'ids', 'failure_time', ...] >>> binout.read(\"swforc\",\"shear\").shape (321L, 26L) >>> binout.read(\"swforc\",\"ids\").shape (26L,) >>> binout.read(\"swforc\",\"ids\") array([52890, 52891, 52892, ...]) >>> # read a string value >>> binout.read(\"swforc\",\"date\") '11/05/2013'","title":"Notes"},{"location":"dyna/Binout/#lasso.dyna.binout.Binout.save_hdf5","text":"Save a binout as HDF5 Parameters: Name Type Description Default filepath path where the HDF5 shall be saved required compression compression technique (see h5py docs) 'gzip' Examples: >>> binout = Binout(\"path/to/binout\") >>> binout.save_hdf5(\"path/to/binout.h5\")","title":"save_hdf5()"},{"location":"dyna/D3plot/","text":"D3plot There is a youtube tutorial available for this class: Class used to read LS-Dyna d3plots arrays : dict property writable Dictionary holding all d3plot arrays Notes The corresponding keys of the dictionary can also be found in `lasso.dyna.ArrayTypes`, which helps with IDE integration and code safety. Examples: >>> d3plot = D3plot(\"some/path/to/d3plot\") >>> d3plot.arrays.keys() dict_keys(['irbtyp', 'node_coordinates', ...]) >>> # The following is good coding practice >>> import lasso.dyna.ArrayTypes.ArrayTypes as atypes >>> d3plot.arrays[atypes.node_displacmeent].shape header : D3plotHeader property Instance holding all d3plot header information Returns: Name Type Description header D3plotHeader header of the d3plot Notes The header contains a lot of information such as number of elements, etc. Examples: >>> d3plot = D3plot(\"some/path/to/d3plot\") >>> # number of shells >>> d3plot.header.n_shells 85624 n_timesteps : int property Number of timesteps loaded __init__ ( filepath = None , use_femzip = None , n_files_to_load_at_once = None , state_array_filter = None , state_filter = None , buffered_reading = False ) Constructor for a D3plot Parameters: Name Type Description Default filepath str path to a d3plot file None use_femzip Union [ bool , None] Not used anymore. None n_files_to_load_at_once Union [ int , None] DEPRECATED not used anymore, use buffered_reading None state_array_filter Union [ List [ str ], None] names of arrays which will be the only ones loaded from state data None state_filter Union [None, Set [ int ]] which states to load. Negative indexes count backwards. None buffered_reading bool whether to pull only a single state into memory during reading False Examples: >>> from lasso.dyna import D3plot, ArrayType >>> # open and read everything >>> d3plot = D3plot(\"path/to/d3plot\") >>> # only read node displacement >>> d3plot = D3plot(\"path/to/d3plot\", state_array_filter=[\"node_displacement\"]) >>> # or with nicer syntax >>> d3plot = D3plot(\"path/to/d3plot\", state_array_filter=[ArrayType.node_displacement]) >>> # only load first and last state >>> d3plot = D3plot(\"path/to/d3plot\", state_filter={0, -1}) >>> # our computer lacks RAM so lets extract a specific array >>> # but only keep one state at a time in memory >>> d3plot = D3plot(\"path/to/d3plot\", >>> state_array_filter=[ArrayType.node_displacement], >>> buffered_reading=True) Notes If dyna wrote multiple files for several states, only give the path to the first file. check_array_dims ( array_dimensions , dimension_name , dimension_size =- 1 ) This function checks if multiple arrays share an array dimensions with the same size. Parameters: Name Type Description Default array_dimensions Dict [ str , int ] Array name and expected number of dimensions as dict required dimension_name str Name of the array dimension for error messages required dimension_size int Optional expected size. If not set then all entries must equal the first value collected. -1 Raises: Type Description ValueError If dimensions do not match in any kind of way. compare ( d3plot2 , array_eps = None ) Compare two d3plots and print the info Parameters: Name Type Description Default d3plot2 second d3plot required array_eps Union [ float , None] tolerance for arrays None Returns: Name Type Description hdr_differences dict differences in the header array_differences dict difference between arrays as message Examples: Comparison of a femzipped file and an uncompressed file. Femzip is a lossy compression, thus precision is traded for memory. >>> d3plot1 = D3plot(\"path/to/d3plot\") >>> d3plot2 = D3plot(\"path/to/d3plot.fz\") >>> hdr_diff, array_diff = d3plot1.compare(d3plot2) >>> for arraytype, msg in array_diff.items(): >>> print(name, msg) node_coordinates \u0394max = 0.050048828125 node_displacement \u0394max = 0.050048828125 node_velocity \u0394max = 0.050048828125 node_acceleration \u0394max = 49998984.0 element_beam_axial_force \u0394max = 6.103515625e-05 element_shell_stress \u0394max = 0.0005035400390625 element_shell_thickness \u0394max = 9.999999717180685e-10 element_shell_unknown_variables \u0394max = 0.0005000010132789612 element_shell_internal_energy \u0394max = 188.41957092285156 enable_logger ( enable ) staticmethod Enable the logger for this class Parameters: Name Type Description Default enable bool whether to enable logging for this class required get_part_filter ( filter_type , part_ids , for_state_array = True ) Get a part filter for different entities Parameters: Name Type Description Default filter_type FilterType the array type to filter for (beam, shell, solid, tshell, node) required part_ids Iterable [ int ] part ids to filter out required for_state_array bool if the filter is meant for a state array. Makes a difference for shells if rigid bodies are in the model (mattyp == 20) True Returns: Name Type Description mask np . ndarray mask usable on arrays to filter results Examples: >>> from lasso.dyna import D3plot, ArrayType, FilterType >>> d3plot = D3plot(\"path/to/d3plot\") >>> part_ids = [13, 14] >>> mask = d3plot.get_part_filter(FilterType.shell) >>> shell_stress = d3plot.arrays[ArrayType.element_shell_stress] >>> shell_stress.shape (34, 7463, 3, 6) >>> # select only parts from part_ids >>> shell_stress_parts = shell_stress[:, mask] plot ( i_timestep = 0 , field = None , is_element_field = True , fringe_limits = None , export_filepath = '' ) Plot the d3plot geometry Parameters: Name Type Description Default i_timestep int timestep index to plot 0 field Union [ np . ndarray , None] Array containing a field value for every element or node None is_element_field bool if the specified field is for elements or nodes True fringe_limits Union [ Tuple [ float , float ], None] limits for the fringe bar. Set by default to min and max. None export_filepath str filepath to export the html to '' Notes Currently only shell elements can be plotted, since for solids the surface needs extraction. Examples: Plot deformation of last timestep. >>> d3plot = D3plot(\"path/to/d3plot\") >>> d3plot.plot(-1) >>> # get eff. plastic strain >>> pstrain = d3plot.arrays[ArrayType.element_shell_effective_plastic_strain] >>> pstrain.shape (1, 4696, 3) >>> # mean across all 3 integration points >>> pstrain = pstrain.mean(axis=2) >>> pstrain.shape (1, 4696) >>> # we only have 1 timestep here but let's take last one in general >>> last_timestep = -1 >>> d3plot.plot(0, field=pstrain[last_timestep]) >>> # we don't like the fringe, let's adjust >>> d3plot.plot(0, field=pstrain[last_timestep], fringe_limits=(0, 0.3)) write_d3plot ( filepath , block_size_bytes = 2048 , single_file = True ) Write a d3plot file again (pro version only) Parameters: Name Type Description Default filepath Union [ str , BinaryIO ] filepath of the new d3plot file or an opened file handle required block_size_bytes int D3plots are originally written in byte-blocks causing zero-padding at the end of files. This can be controlled by this parameter. Set to 0 for no padding. 2048 single_file bool whether to write all states into a single file True Examples: Modify an existing d3plot: >>> d3plot = D3plot(\"path/to/d3plot\") >>> hvars = d3plot.array[ArrayType.element_shell_history_vars] >>> hvars.shape (1, 4696, 3, 19) >>> new_history_var = np.random.random((1, 4696, 3, 1)) >>> new_hvars = np.concatenate([hvars, new_history_var], axis=3) >>> d3plot.array[ArrayType.element_shell_history_vars] = new_hvars >>> d3plot.write_d3plot(\"path/to/new/d3plot\") Write a new d3plot from scratch: >>> d3plot = D3plot() >>> d3plot.arrays[ArrayType.node_coordinates] = np.array([[0, 0, 0], ... [1, 0, 0], ... [0, 1, 0]]) >>> d3plot.arrays[ArrayType.element_shell_node_indexes] = np.array([[0, 2, 1, 1]]) >>> d3plot.arrays[ArrayType.element_shell_part_indexes] = np.array([0]) >>> d3plot.arrays[ArrayType.node_displacement] = np.array([[[0, 0, 0], ... [1, 0, 0], ... [0, 1, 0]]]) >>> d3plot.write_d3plot(\"yay.d3plot\") Notes This function is not available in the public version please contact LASSO directly in case of further interest.","title":"D3plot"},{"location":"dyna/D3plot/#d3plot","text":"There is a youtube tutorial available for this class: Class used to read LS-Dyna d3plots","title":"D3plot"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.arrays","text":"Dictionary holding all d3plot arrays","title":"arrays"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.arrays--notes","text":"The corresponding keys of the dictionary can also be found in `lasso.dyna.ArrayTypes`, which helps with IDE integration and code safety. Examples: >>> d3plot = D3plot(\"some/path/to/d3plot\") >>> d3plot.arrays.keys() dict_keys(['irbtyp', 'node_coordinates', ...]) >>> # The following is good coding practice >>> import lasso.dyna.ArrayTypes.ArrayTypes as atypes >>> d3plot.arrays[atypes.node_displacmeent].shape","title":"Notes"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.header","text":"Instance holding all d3plot header information Returns: Name Type Description header D3plotHeader header of the d3plot","title":"header"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.header--notes","text":"The header contains a lot of information such as number of elements, etc. Examples: >>> d3plot = D3plot(\"some/path/to/d3plot\") >>> # number of shells >>> d3plot.header.n_shells 85624","title":"Notes"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.n_timesteps","text":"Number of timesteps loaded","title":"n_timesteps"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.__init__","text":"Constructor for a D3plot Parameters: Name Type Description Default filepath str path to a d3plot file None use_femzip Union [ bool , None] Not used anymore. None n_files_to_load_at_once Union [ int , None] DEPRECATED not used anymore, use buffered_reading None state_array_filter Union [ List [ str ], None] names of arrays which will be the only ones loaded from state data None state_filter Union [None, Set [ int ]] which states to load. Negative indexes count backwards. None buffered_reading bool whether to pull only a single state into memory during reading False Examples: >>> from lasso.dyna import D3plot, ArrayType >>> # open and read everything >>> d3plot = D3plot(\"path/to/d3plot\") >>> # only read node displacement >>> d3plot = D3plot(\"path/to/d3plot\", state_array_filter=[\"node_displacement\"]) >>> # or with nicer syntax >>> d3plot = D3plot(\"path/to/d3plot\", state_array_filter=[ArrayType.node_displacement]) >>> # only load first and last state >>> d3plot = D3plot(\"path/to/d3plot\", state_filter={0, -1}) >>> # our computer lacks RAM so lets extract a specific array >>> # but only keep one state at a time in memory >>> d3plot = D3plot(\"path/to/d3plot\", >>> state_array_filter=[ArrayType.node_displacement], >>> buffered_reading=True)","title":"__init__()"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.__init__--notes","text":"If dyna wrote multiple files for several states, only give the path to the first file.","title":"Notes"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.check_array_dims","text":"This function checks if multiple arrays share an array dimensions with the same size. Parameters: Name Type Description Default array_dimensions Dict [ str , int ] Array name and expected number of dimensions as dict required dimension_name str Name of the array dimension for error messages required dimension_size int Optional expected size. If not set then all entries must equal the first value collected. -1 Raises: Type Description ValueError If dimensions do not match in any kind of way.","title":"check_array_dims()"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.compare","text":"Compare two d3plots and print the info Parameters: Name Type Description Default d3plot2 second d3plot required array_eps Union [ float , None] tolerance for arrays None Returns: Name Type Description hdr_differences dict differences in the header array_differences dict difference between arrays as message Examples: Comparison of a femzipped file and an uncompressed file. Femzip is a lossy compression, thus precision is traded for memory. >>> d3plot1 = D3plot(\"path/to/d3plot\") >>> d3plot2 = D3plot(\"path/to/d3plot.fz\") >>> hdr_diff, array_diff = d3plot1.compare(d3plot2) >>> for arraytype, msg in array_diff.items(): >>> print(name, msg) node_coordinates \u0394max = 0.050048828125 node_displacement \u0394max = 0.050048828125 node_velocity \u0394max = 0.050048828125 node_acceleration \u0394max = 49998984.0 element_beam_axial_force \u0394max = 6.103515625e-05 element_shell_stress \u0394max = 0.0005035400390625 element_shell_thickness \u0394max = 9.999999717180685e-10 element_shell_unknown_variables \u0394max = 0.0005000010132789612 element_shell_internal_energy \u0394max = 188.41957092285156","title":"compare()"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.enable_logger","text":"Enable the logger for this class Parameters: Name Type Description Default enable bool whether to enable logging for this class required","title":"enable_logger()"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.get_part_filter","text":"Get a part filter for different entities Parameters: Name Type Description Default filter_type FilterType the array type to filter for (beam, shell, solid, tshell, node) required part_ids Iterable [ int ] part ids to filter out required for_state_array bool if the filter is meant for a state array. Makes a difference for shells if rigid bodies are in the model (mattyp == 20) True Returns: Name Type Description mask np . ndarray mask usable on arrays to filter results Examples: >>> from lasso.dyna import D3plot, ArrayType, FilterType >>> d3plot = D3plot(\"path/to/d3plot\") >>> part_ids = [13, 14] >>> mask = d3plot.get_part_filter(FilterType.shell) >>> shell_stress = d3plot.arrays[ArrayType.element_shell_stress] >>> shell_stress.shape (34, 7463, 3, 6) >>> # select only parts from part_ids >>> shell_stress_parts = shell_stress[:, mask]","title":"get_part_filter()"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.plot","text":"Plot the d3plot geometry Parameters: Name Type Description Default i_timestep int timestep index to plot 0 field Union [ np . ndarray , None] Array containing a field value for every element or node None is_element_field bool if the specified field is for elements or nodes True fringe_limits Union [ Tuple [ float , float ], None] limits for the fringe bar. Set by default to min and max. None export_filepath str filepath to export the html to ''","title":"plot()"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.plot--notes","text":"Currently only shell elements can be plotted, since for solids the surface needs extraction. Examples: Plot deformation of last timestep. >>> d3plot = D3plot(\"path/to/d3plot\") >>> d3plot.plot(-1) >>> # get eff. plastic strain >>> pstrain = d3plot.arrays[ArrayType.element_shell_effective_plastic_strain] >>> pstrain.shape (1, 4696, 3) >>> # mean across all 3 integration points >>> pstrain = pstrain.mean(axis=2) >>> pstrain.shape (1, 4696) >>> # we only have 1 timestep here but let's take last one in general >>> last_timestep = -1 >>> d3plot.plot(0, field=pstrain[last_timestep]) >>> # we don't like the fringe, let's adjust >>> d3plot.plot(0, field=pstrain[last_timestep], fringe_limits=(0, 0.3))","title":"Notes"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.write_d3plot","text":"Write a d3plot file again (pro version only) Parameters: Name Type Description Default filepath Union [ str , BinaryIO ] filepath of the new d3plot file or an opened file handle required block_size_bytes int D3plots are originally written in byte-blocks causing zero-padding at the end of files. This can be controlled by this parameter. Set to 0 for no padding. 2048 single_file bool whether to write all states into a single file True Examples: Modify an existing d3plot: >>> d3plot = D3plot(\"path/to/d3plot\") >>> hvars = d3plot.array[ArrayType.element_shell_history_vars] >>> hvars.shape (1, 4696, 3, 19) >>> new_history_var = np.random.random((1, 4696, 3, 1)) >>> new_hvars = np.concatenate([hvars, new_history_var], axis=3) >>> d3plot.array[ArrayType.element_shell_history_vars] = new_hvars >>> d3plot.write_d3plot(\"path/to/new/d3plot\") Write a new d3plot from scratch: >>> d3plot = D3plot() >>> d3plot.arrays[ArrayType.node_coordinates] = np.array([[0, 0, 0], ... [1, 0, 0], ... [0, 1, 0]]) >>> d3plot.arrays[ArrayType.element_shell_node_indexes] = np.array([[0, 2, 1, 1]]) >>> d3plot.arrays[ArrayType.element_shell_part_indexes] = np.array([0]) >>> d3plot.arrays[ArrayType.node_displacement] = np.array([[[0, 0, 0], ... [1, 0, 0], ... [0, 1, 0]]]) >>> d3plot.write_d3plot(\"yay.d3plot\")","title":"write_d3plot()"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.write_d3plot--notes","text":"This function is not available in the public version please contact LASSO directly in case of further interest.","title":"Notes"},{"location":"dyna/D3plotHeader/","text":"D3plotHeader Class for reading only header information of a d3plot Attributes: Name Type Description filepath str Filepath of the processed file. itype np . dtype Integer type of d3plot. ftype np . dtype Floating point type of d3plot. wordsize int size of words in bytes (4 = single precision, 8 = double precision). raw_header Dict [ str , Any ] Raw header data as dict. external_numbers_dtype np . dtype Integer type of user ids. n_header_bytes int Number of bytes of header (at least 256 or more). title str Main title. title2 str Optional, secondary title. runtime int Runtime of the d3plot as timestamp. filetype D3plotFiletype Filetype such as d3plot or d3part. source_version int Source version of LS-Dyna. release_version str Release version of LS-Dyna. version float Version of LS-Dyna. extra_long_header bool If header was longer than default. n_dimensions int Number of dimensions, usually three. n_global_vars int How many global vars for each state. n_adapted_element_pairs int How many adapted element pairs. has_node_deletion_data bool If node deletion data is present. has_element_deletion_data bool If element deletion data is present. has_numbering_section bool If a user numbering section is present. has_material_type_section bool If material type section was written. n_numbering_section_words int Amount of words for numbering section. has_invariant_numbering bool If invariant numbering is used whatever that means. quadratic_elems_has_full_connectivity bool If quadric elements have full connectivity. quadratic_elems_has_data_at_integration_points bool If quadric elements data is at integration points. n_post_branches int Unused and unknown. n_types Tuple [ int , ...] Behind geometry these are integers indicating additional data such as part names. n_parts int Obviously number of parts. n_nodes int Number of nodes. has_node_temperatures bool If node temperature is present. has_node_temperature_layers bool If node temperatures are layered. has_node_heat_flux bool If node heat flux is present. has_node_mass_scaling bool Mass scaling is written. has_node_displacement bool Node displacement is written. has_node_velocity bool Node velocity is written. has_node_acceleration bool Node acceleration is written. has_node_temperature_gradient bool Node temperature gradient is written. has_node_residual_forces bool Node residual forces are written. has_node_residual_moments bool Node residual moments are written. has_node_max_contact_penetration_absolute bool Node contact penetration info exist. has_node_max_contact_penetration_relative bool Node relative contact penetration info was written. has_node_contact_energy_density int Node energy density was written. n_shell_tshell_layers int Number of layers for shells and thick shells. n_shell_tshell_history_vars int Number of history vars for shells and thick shells. has_shell_tshell_stress bool If shells and thick shells have stresses. has_shell_tshell_pstrain bool If shells and thick shells have eff. plastic strain. has_element_strain bool If all elements have strain. has_solid_shell_plastic_strain_tensor bool If solids have plastic strain tensor. has_solid_shell_thermal_strain_tensor bool If solids have thermal strain tensor. n_solids int Number of solids. n_solid_vars int Number of solid variables per element and state. n_solid_materials int Number of solid materials/parts. n_solid_history_vars int Number of solid history variables. n_solid_thermal_vars int Number of solid thermal variables. n_solids_20_node_hexas int Number of 20-node solid hexas. n_solids_27_node_hexas int Number of 27-node solid hexas. n_solids_21_node_pentas int Number of 21-node solid pentas. n_solids_15_node_tetras int Number of 15-node solid tetras. n_solids_20_node_tetras int Number of 20-node solid tetras. n_solids_40_node_pentas int Number of 40-node solid pentas. n_solids_64_node_hexas int Number of 64-node solid hexas. has_solid_2_extra_nodes bool If two extra nodes were written for solids. has_solid_stress bool If solid stress is present. has_solid_pstrain bool If solid eff. plastic strain is present. has_quadratic_solids bool If quadratic solids were used. has_cubic_solids bool If cubic solids were used. has_solid_internal_energy_density bool If solids have internal energy density. n_solid_layers int Number of solid layers. n_shells int Number of shells. n_shell_vars int Number of shell vars per element and state. n_shell_materials int Number of shell materials/parts. n_shells_8_nodes int Number of 8-node shells. has_shell_four_inplane_gauss_points bool If shells have four inplace gaussian integration points. has_shell_forces bool If shell forces are present. has_shell_extra_variables bool If extra shell variables such as forces are present. has_shell_internal_energy_density bool If shell internal energy density is present. n_thick_shells int Number of thick shell elements. n_thick_shell_vars int Number of thick shell element vars. n_thick_shell_materials int Number of thick shell materials/parts. has_thick_shell_energy_density bool If thick shells have energy density. thick_shell_energy_density_position int Nnused. n_beams int Number of beam elements. n_beam_vars int Number of state variables per beam element. n_beam_materials int Number of beam materials. n_beam_history_vars int Number of beam history variables. n_airbags int Number of airbags. has_airbag_n_chambers bool If airbags have number of chambers var. has_rigid_road_surface bool If rigid road surface was written. has_rigid_body_data bool If rigid body section was written. has_reduced_rigid_body_data bool If the reduced set of rigid body data was written. n_rigid_wall_vars int Number of rigid wall vars. n_sph_nodes int Number of sph nodes. n_sph_materials int Number of sph materials. n_ale_materials int Number of ale materials. n_ale_fluid_groups int Number of ale fluid groups. has_cfd_data bool If CFD-Data was written. has_multi_solver_data bool If multi-solver data was written. cfd_extra_data int If cfd data contains extra section. legacy_code_type int Originally a code indicator but unused nowadays. unused_numst int Unused and not explained in docs. __init__ ( filepath = None ) Create a D3plotHeader instance Parameters: Name Type Description Default filepath Union [ str , BinaryBuffer , None] path to a d3plot file or a buffer holding d3plot memory None Returns: Name Type Description header D3plotHeader d3plot header instance Examples: Create an empty header file >>> header = D3plotHeader() Now load only the header of a d3plot. >>> header.load_file(\"path/to/d3plot\") Or we can do the above together. >>> header = D3plotHeader(\"path/to/d3plot\") Notes This class does not load the entire memory of a d3plot but merely what is required to parse the header information. Thus, it is safe to use on big files. load_file ( file ) Load d3plot header from a d3plot file Parameters: Name Type Description Default file Union [ str , BinaryBuffer ] path to d3plot or BinaryBuffer holding memory of d3plot required Returns: Name Type Description self D3plotHeader returning self on success Notes This routine only loads the minimal amount of data that is neccessary. Thus it is safe to use on huge files. Examples: >>> header = D3plotHeader().load_file(\"path/to/d3plot\") >>> header.n_shells 19684 compare ( other ) Compare two headers and get the differences Parameters: Name Type Description Default other D3plotHeader other d3plot header instance required Returns: Name Type Description differences Dict [ str , Tuple [ Any , Any ]] The different entries of both headers in a dict","title":"D3plotHeader"},{"location":"dyna/D3plotHeader/#d3plotheader","text":"Class for reading only header information of a d3plot Attributes: Name Type Description filepath str Filepath of the processed file. itype np . dtype Integer type of d3plot. ftype np . dtype Floating point type of d3plot. wordsize int size of words in bytes (4 = single precision, 8 = double precision). raw_header Dict [ str , Any ] Raw header data as dict. external_numbers_dtype np . dtype Integer type of user ids. n_header_bytes int Number of bytes of header (at least 256 or more). title str Main title. title2 str Optional, secondary title. runtime int Runtime of the d3plot as timestamp. filetype D3plotFiletype Filetype such as d3plot or d3part. source_version int Source version of LS-Dyna. release_version str Release version of LS-Dyna. version float Version of LS-Dyna. extra_long_header bool If header was longer than default. n_dimensions int Number of dimensions, usually three. n_global_vars int How many global vars for each state. n_adapted_element_pairs int How many adapted element pairs. has_node_deletion_data bool If node deletion data is present. has_element_deletion_data bool If element deletion data is present. has_numbering_section bool If a user numbering section is present. has_material_type_section bool If material type section was written. n_numbering_section_words int Amount of words for numbering section. has_invariant_numbering bool If invariant numbering is used whatever that means. quadratic_elems_has_full_connectivity bool If quadric elements have full connectivity. quadratic_elems_has_data_at_integration_points bool If quadric elements data is at integration points. n_post_branches int Unused and unknown. n_types Tuple [ int , ...] Behind geometry these are integers indicating additional data such as part names. n_parts int Obviously number of parts. n_nodes int Number of nodes. has_node_temperatures bool If node temperature is present. has_node_temperature_layers bool If node temperatures are layered. has_node_heat_flux bool If node heat flux is present. has_node_mass_scaling bool Mass scaling is written. has_node_displacement bool Node displacement is written. has_node_velocity bool Node velocity is written. has_node_acceleration bool Node acceleration is written. has_node_temperature_gradient bool Node temperature gradient is written. has_node_residual_forces bool Node residual forces are written. has_node_residual_moments bool Node residual moments are written. has_node_max_contact_penetration_absolute bool Node contact penetration info exist. has_node_max_contact_penetration_relative bool Node relative contact penetration info was written. has_node_contact_energy_density int Node energy density was written. n_shell_tshell_layers int Number of layers for shells and thick shells. n_shell_tshell_history_vars int Number of history vars for shells and thick shells. has_shell_tshell_stress bool If shells and thick shells have stresses. has_shell_tshell_pstrain bool If shells and thick shells have eff. plastic strain. has_element_strain bool If all elements have strain. has_solid_shell_plastic_strain_tensor bool If solids have plastic strain tensor. has_solid_shell_thermal_strain_tensor bool If solids have thermal strain tensor. n_solids int Number of solids. n_solid_vars int Number of solid variables per element and state. n_solid_materials int Number of solid materials/parts. n_solid_history_vars int Number of solid history variables. n_solid_thermal_vars int Number of solid thermal variables. n_solids_20_node_hexas int Number of 20-node solid hexas. n_solids_27_node_hexas int Number of 27-node solid hexas. n_solids_21_node_pentas int Number of 21-node solid pentas. n_solids_15_node_tetras int Number of 15-node solid tetras. n_solids_20_node_tetras int Number of 20-node solid tetras. n_solids_40_node_pentas int Number of 40-node solid pentas. n_solids_64_node_hexas int Number of 64-node solid hexas. has_solid_2_extra_nodes bool If two extra nodes were written for solids. has_solid_stress bool If solid stress is present. has_solid_pstrain bool If solid eff. plastic strain is present. has_quadratic_solids bool If quadratic solids were used. has_cubic_solids bool If cubic solids were used. has_solid_internal_energy_density bool If solids have internal energy density. n_solid_layers int Number of solid layers. n_shells int Number of shells. n_shell_vars int Number of shell vars per element and state. n_shell_materials int Number of shell materials/parts. n_shells_8_nodes int Number of 8-node shells. has_shell_four_inplane_gauss_points bool If shells have four inplace gaussian integration points. has_shell_forces bool If shell forces are present. has_shell_extra_variables bool If extra shell variables such as forces are present. has_shell_internal_energy_density bool If shell internal energy density is present. n_thick_shells int Number of thick shell elements. n_thick_shell_vars int Number of thick shell element vars. n_thick_shell_materials int Number of thick shell materials/parts. has_thick_shell_energy_density bool If thick shells have energy density. thick_shell_energy_density_position int Nnused. n_beams int Number of beam elements. n_beam_vars int Number of state variables per beam element. n_beam_materials int Number of beam materials. n_beam_history_vars int Number of beam history variables. n_airbags int Number of airbags. has_airbag_n_chambers bool If airbags have number of chambers var. has_rigid_road_surface bool If rigid road surface was written. has_rigid_body_data bool If rigid body section was written. has_reduced_rigid_body_data bool If the reduced set of rigid body data was written. n_rigid_wall_vars int Number of rigid wall vars. n_sph_nodes int Number of sph nodes. n_sph_materials int Number of sph materials. n_ale_materials int Number of ale materials. n_ale_fluid_groups int Number of ale fluid groups. has_cfd_data bool If CFD-Data was written. has_multi_solver_data bool If multi-solver data was written. cfd_extra_data int If cfd data contains extra section. legacy_code_type int Originally a code indicator but unused nowadays. unused_numst int Unused and not explained in docs.","title":"D3plotHeader"},{"location":"dyna/D3plotHeader/#lasso.dyna.d3plot_header.D3plotHeader.__init__","text":"Create a D3plotHeader instance Parameters: Name Type Description Default filepath Union [ str , BinaryBuffer , None] path to a d3plot file or a buffer holding d3plot memory None Returns: Name Type Description header D3plotHeader d3plot header instance Examples: Create an empty header file >>> header = D3plotHeader() Now load only the header of a d3plot. >>> header.load_file(\"path/to/d3plot\") Or we can do the above together. >>> header = D3plotHeader(\"path/to/d3plot\")","title":"__init__()"},{"location":"dyna/D3plotHeader/#lasso.dyna.d3plot_header.D3plotHeader.__init__--notes","text":"This class does not load the entire memory of a d3plot but merely what is required to parse the header information. Thus, it is safe to use on big files.","title":"Notes"},{"location":"dyna/D3plotHeader/#lasso.dyna.d3plot_header.D3plotHeader.load_file","text":"Load d3plot header from a d3plot file Parameters: Name Type Description Default file Union [ str , BinaryBuffer ] path to d3plot or BinaryBuffer holding memory of d3plot required Returns: Name Type Description self D3plotHeader returning self on success","title":"load_file()"},{"location":"dyna/D3plotHeader/#lasso.dyna.d3plot_header.D3plotHeader.load_file--notes","text":"This routine only loads the minimal amount of data that is neccessary. Thus it is safe to use on huge files. Examples: >>> header = D3plotHeader().load_file(\"path/to/d3plot\") >>> header.n_shells 19684","title":"Notes"},{"location":"dyna/D3plotHeader/#lasso.dyna.d3plot_header.D3plotHeader.compare","text":"Compare two headers and get the differences Parameters: Name Type Description Default other D3plotHeader other d3plot header instance required Returns: Name Type Description differences Dict [ str , Tuple [ Any , Any ]] The different entries of both headers in a dict","title":"compare()"},{"location":"dyna/FilterType/","text":"FilterType Bases: Enum Used for filtering d3plot arrays Attributes: Name Type Description BEAM str Filters for beam elements SHELL str Filters for shell elements SOLID str Filters for solid elements TSHELL str Filters for thick shells elements PART str Filters for parts NODE str Filters for nodes Examples: >>> part_ids = [13, 14] >>> d3plot.get_part_filter(FilterType.SHELL, part_ids)","title":"FilterType"},{"location":"dyna/FilterType/#filtertype","text":"Bases: Enum Used for filtering d3plot arrays Attributes: Name Type Description BEAM str Filters for beam elements SHELL str Filters for shell elements SOLID str Filters for solid elements TSHELL str Filters for thick shells elements PART str Filters for parts NODE str Filters for nodes Examples: >>> part_ids = [13, 14] >>> d3plot.get_part_filter(FilterType.SHELL, part_ids)","title":"FilterType"},{"location":"dyna/performance_info/","text":"Performance Info D3plot Benchmark: The d3plot reader is blazingly fast by using several memory tricks. While postprocessors build up an internal datastructure during reading, this reader avoids this and simply references memory within the files. In consequence performance benchmarks show that the runtime of the code is solely dominated by pulling the files into memory. 2108 function calls (2099 primitive calls) in 43.017 seconds Ordered by: internal time ncalls tottime percall cumtime percall filename:lineno(function) 35 38.960 1.113 38.960 1.113 {method 'readinto' of '_io.BufferedReader' objects} 35 2.366 0.068 2.366 0.068 {built-in method io.open} 1 1.644 1.644 42.959 42.959 D3plot.py:2565(_read_state_bytebuffer) 71 0.043 0.001 0.043 0.001 {built-in method nt.stat} 2 0.002 0.001 0.057 0.028 BinaryBuffer.py:234(load) 70 0.000 0.000 0.001 0.000 ntpath.py:74(join) 142 0.000 0.000 0.000 0.000 ntpath.py:121(splitdrive) 1 0.000 0.000 0.019 0.019 D3plot.py:2738() 1 0.000 0.000 0.000 0.000 {built-in method nt.listdir} 36 0.000 0.000 0.000 0.000 {method 'match' of '_sre.SRE_Pattern' objects} 84 0.000 0.000 0.000 0.000 {built-in method numpy.core.multiarray.frombuffer} 1 0.000 0.000 42.959 42.959 D3plot.py:1304(_read_states) ... In the table above the largest, first three performance issues are all related to loading files into memory, accounting for 99.89% of runtime. The routines reading the data arrays (deserialization) have an almost constant runtime of a few milliseconds and are independent of the filesize. Efficiency Note that writing such efficient and simple code in C or any other language is much more challenging than in Python, thus surprisingly this implementation can be expected to outperform most native codes and tools. Indeed tests show that when reading all results of a d3plot in a postprocessor, this library is devastatingly fast. For reading single node-fields this library can be slower though (see Improvements below). Array-based API Building objects is useful (e.g. neighbor search) but requires additional runtime overhead. By the principle of \"don't pay for what you don't use\" it was decided to avoid object orientation, thus providing a majorly array-based API. This is perfectly suitable for data analysis as well as machine learning. Improvements A speedup 'could' be achieved by using memory-mapping, thus pulling only fractions of the files into the RAM which hold the required arrays. Postprocessors sometimes do this when reading certain fields, outperforming this library in such a case (e.g. node displacements). Since dyna litters most arrays across the entire file though, this method was not considered worth the effort and thus this library always reads everything. Binout The binout is used to store arbitrary binary data at a much higher frequency than the d3plot. As a result the data is dumped in an internal 'state folder'. Since different results may be dumped at different frequencies some state folders might contain more information than others. This inherently prevents efficient memory reading. The python version used here is slower than the original C-based version but one therefore gains better portability accross operating systems.","title":"Performance Info"},{"location":"dyna/performance_info/#performance-info","text":"","title":"Performance Info"},{"location":"dyna/performance_info/#d3plot","text":"Benchmark: The d3plot reader is blazingly fast by using several memory tricks. While postprocessors build up an internal datastructure during reading, this reader avoids this and simply references memory within the files. In consequence performance benchmarks show that the runtime of the code is solely dominated by pulling the files into memory. 2108 function calls (2099 primitive calls) in 43.017 seconds Ordered by: internal time ncalls tottime percall cumtime percall filename:lineno(function) 35 38.960 1.113 38.960 1.113 {method 'readinto' of '_io.BufferedReader' objects} 35 2.366 0.068 2.366 0.068 {built-in method io.open} 1 1.644 1.644 42.959 42.959 D3plot.py:2565(_read_state_bytebuffer) 71 0.043 0.001 0.043 0.001 {built-in method nt.stat} 2 0.002 0.001 0.057 0.028 BinaryBuffer.py:234(load) 70 0.000 0.000 0.001 0.000 ntpath.py:74(join) 142 0.000 0.000 0.000 0.000 ntpath.py:121(splitdrive) 1 0.000 0.000 0.019 0.019 D3plot.py:2738() 1 0.000 0.000 0.000 0.000 {built-in method nt.listdir} 36 0.000 0.000 0.000 0.000 {method 'match' of '_sre.SRE_Pattern' objects} 84 0.000 0.000 0.000 0.000 {built-in method numpy.core.multiarray.frombuffer} 1 0.000 0.000 42.959 42.959 D3plot.py:1304(_read_states) ... In the table above the largest, first three performance issues are all related to loading files into memory, accounting for 99.89% of runtime. The routines reading the data arrays (deserialization) have an almost constant runtime of a few milliseconds and are independent of the filesize.","title":"D3plot"},{"location":"dyna/performance_info/#efficiency","text":"Note that writing such efficient and simple code in C or any other language is much more challenging than in Python, thus surprisingly this implementation can be expected to outperform most native codes and tools. Indeed tests show that when reading all results of a d3plot in a postprocessor, this library is devastatingly fast. For reading single node-fields this library can be slower though (see Improvements below).","title":"Efficiency"},{"location":"dyna/performance_info/#array-based-api","text":"Building objects is useful (e.g. neighbor search) but requires additional runtime overhead. By the principle of \"don't pay for what you don't use\" it was decided to avoid object orientation, thus providing a majorly array-based API. This is perfectly suitable for data analysis as well as machine learning.","title":"Array-based API"},{"location":"dyna/performance_info/#improvements","text":"A speedup 'could' be achieved by using memory-mapping, thus pulling only fractions of the files into the RAM which hold the required arrays. Postprocessors sometimes do this when reading certain fields, outperforming this library in such a case (e.g. node displacements). Since dyna litters most arrays across the entire file though, this method was not considered worth the effort and thus this library always reads everything.","title":"Improvements"},{"location":"dyna/performance_info/#binout","text":"The binout is used to store arbitrary binary data at a much higher frequency than the d3plot. As a result the data is dumped in an internal 'state folder'. Since different results may be dumped at different frequencies some state folders might contain more information than others. This inherently prevents efficient memory reading. The python version used here is slower than the original C-based version but one therefore gains better portability accross operating systems.","title":"Binout"},{"location":"femzip/","text":"Femzip Documentation of the Femzip module. The D3plot reader uses this module to access femzip file data through the femzip API. It also allows to decompress files directly or use some additional utility functions such as a femzip file check if desired. Example >>> from lasso.femzip import FemzipAPI >>> from ctypes import * >>> filepath = \"path/to/d3plot.fz\" >>> # Initialize API >>> api = FemzipAPI () Here we check if we can use the extended FEMZIP-API. The extended FEMZIP-API allows reading selected arrays, but reqires a license with the feature \"FEMUNZIPLIB-DYNA\", which can be attained from SIDACT or femzip distributors. >>> api . has_femunziplib_license () True Check if a file is femzipped: >>> # check if file is femzipped >>> api . is_sidact_file ( filepath ) True Check the file and library version. This is usually not neccessary. >>> api . is_femunzip_version_ok ( filepath ) True It's efficient to get the memory demand for arrays beforehand and hand this memory info to other functions. It is often not mandatory though and a mere speedup. >>> # read memory demand info first >>> buffer_info = api . get_buffer_info ( filepath ) >>> # buffer info is a c struct, but we can print it >>> api . struct_to_dict ( buffer_info ) { 'n_timesteps' : 12 , 'timesteps' : < lasso . femzip . femzip_api . LP_c_float object at 0x0000028A8F6B21C0 > , 'size_geometry' : 537125 , 'size_state' : 1462902 , 'size_displacement' : 147716 , 'size_activity' : 47385 , 'size_post' : 1266356 , 'size_titles' : 1448 } >>> for i_timestep in range ( buffer_info . n_timesteps ): >>> print ( buffer_info . timesteps [ i_timestep ]) 0.0 0.9998100399971008 1.9998900890350342 2.9999701976776123 3.9997801780700684 Here we read the geometry buffer. The file is kept open so that we can read states afterwards. >>> mview = api . read_geometry ( filepath , buffer_info , close_file = False ) Femzip can handle only one file per process. In case of issues close the current file (shown later). We can check the API status as follows >>> print ( api . struct_to_dict ( api . get_femzip_status ())) { 'is_file_open' : 1 , 'is_geometry_read' : 1 , 'is_states_open' : 0 , 'i_timestep_state' : - 1 , 'i_timestep_activity' : - 1 } Get the memory of a single state. Must start at 0. Femzip does not allow reading arbitrary states inbetween. >>> mview = api . read_single_state ( i_timestep = 0 , buffer_info = buffer_info ) It is also possible to read the state memory directly into an already allocated buffer. >>> BufferType = c_float * ( buffer_info . size_state ) >>> mview = memoryview ( BufferType ()) >>> api . read_single_state ( 1 , buffer_info = buffer_info , state_buffer = mview ) Let's close the file manually. This ensures that femzip resets its internal state. >>> api . close_current_file ()","title":"Overview"},{"location":"femzip/#femzip","text":"Documentation of the Femzip module. The D3plot reader uses this module to access femzip file data through the femzip API. It also allows to decompress files directly or use some additional utility functions such as a femzip file check if desired.","title":"Femzip"},{"location":"femzip/#example","text":">>> from lasso.femzip import FemzipAPI >>> from ctypes import * >>> filepath = \"path/to/d3plot.fz\" >>> # Initialize API >>> api = FemzipAPI () Here we check if we can use the extended FEMZIP-API. The extended FEMZIP-API allows reading selected arrays, but reqires a license with the feature \"FEMUNZIPLIB-DYNA\", which can be attained from SIDACT or femzip distributors. >>> api . has_femunziplib_license () True Check if a file is femzipped: >>> # check if file is femzipped >>> api . is_sidact_file ( filepath ) True Check the file and library version. This is usually not neccessary. >>> api . is_femunzip_version_ok ( filepath ) True It's efficient to get the memory demand for arrays beforehand and hand this memory info to other functions. It is often not mandatory though and a mere speedup. >>> # read memory demand info first >>> buffer_info = api . get_buffer_info ( filepath ) >>> # buffer info is a c struct, but we can print it >>> api . struct_to_dict ( buffer_info ) { 'n_timesteps' : 12 , 'timesteps' : < lasso . femzip . femzip_api . LP_c_float object at 0x0000028A8F6B21C0 > , 'size_geometry' : 537125 , 'size_state' : 1462902 , 'size_displacement' : 147716 , 'size_activity' : 47385 , 'size_post' : 1266356 , 'size_titles' : 1448 } >>> for i_timestep in range ( buffer_info . n_timesteps ): >>> print ( buffer_info . timesteps [ i_timestep ]) 0.0 0.9998100399971008 1.9998900890350342 2.9999701976776123 3.9997801780700684 Here we read the geometry buffer. The file is kept open so that we can read states afterwards. >>> mview = api . read_geometry ( filepath , buffer_info , close_file = False ) Femzip can handle only one file per process. In case of issues close the current file (shown later). We can check the API status as follows >>> print ( api . struct_to_dict ( api . get_femzip_status ())) { 'is_file_open' : 1 , 'is_geometry_read' : 1 , 'is_states_open' : 0 , 'i_timestep_state' : - 1 , 'i_timestep_activity' : - 1 } Get the memory of a single state. Must start at 0. Femzip does not allow reading arbitrary states inbetween. >>> mview = api . read_single_state ( i_timestep = 0 , buffer_info = buffer_info ) It is also possible to read the state memory directly into an already allocated buffer. >>> BufferType = c_float * ( buffer_info . size_state ) >>> mview = memoryview ( BufferType ()) >>> api . read_single_state ( 1 , buffer_info = buffer_info , state_buffer = mview ) Let's close the file manually. This ensures that femzip resets its internal state. >>> api . close_current_file ()","title":"Example"},{"location":"femzip/FemzipAPI/","text":"FemzipAPI FemzipAPI contains wrapper functions around the femzip library. api : CDLL property Returns the loaded, shared object library of the native interface Returns: Name Type Description shared_object_lib CDLL Loaded shared object library. close_current_file () Closes the current file handle(use not recommended) Notes Closes a currently opened file by the API. There is no arg because femzip can process only one file at a time. This can also be used in case of bugs. Examples: >>> api.close_current_file() copy_struct ( src , dest ) staticmethod Copies all fields from src struct to dest Parameters: Name Type Description Default src Structure src struct required src Structure destination struct required Examples: >>> err1 = FemzipError() >>> err1.ier = -1 >>> err1.msg = b\"Oops\" >>> err2 = FemzipError() >>> api.copy_struct(err1, err2) >>> err2.ier -1 >>> err2.msg b'Oops' get_buffer_info ( filepath ) Get the dimensions of the buffers for femzip Parameters: Name Type Description Default filepath str path to femzip file required Returns: Name Type Description buffer_info FemzipBufferInfo c struct with infos about the memory required by femzip Examples: >>> # read memory demand info first >>> buffer_info = api.get_buffer_info(filepath) >>> # buffer info is a c struct, but we can print it >>> api.struct_to_dict(buffer_info) {'n_timesteps': 12, 'timesteps': , 'size_geometry': 537125, 'size_state': 1462902, 'size_displacement': 147716, 'size_activity': 47385, 'size_post': 1266356, 'size_titles': 1448} >>> for i_timestep in range(buffer_info.n_timesteps): >>> print(buffer_info.timesteps[i_timestep]) 0.0 0.9998100399971008 1.9998900890350342 2.9999701976776123 3.9997801780700684 get_femzip_status () Check the status of the femzip api Returns: Name Type Description femzip_status FemzipAPIStatus c struct with info about femzip API Notes This reports whether a file is currently opened and how far it was processed. This internal state is used to avoid internal conflicts and crashes, thus is useful for debugging. Examples: >>> print(api.struct_to_dict(api.get_femzip_status())) {'is_file_open': 0, 'is_geometry_read': 0, 'is_states_open': 0, 'i_timestep_state': -1, 'i_timestep_activity': -1} get_file_metadata ( filepath ) Get infos about the femzip variables in the file Parameters: Name Type Description Default filepath str path to femzip file required Returns: Name Type Description file_metadata FemzipFileMetadata c struct with infos about the femzip file Notes This is for direct interaction with the C-API, thus should not be used by users. Examples: >>> file_metadata = api.get_file_metadata(\"path/to/d3plot.fz\") >>> # print general internals >>> api.struct_to_dict(file_metadata) {'version_zip': 605.0, 'activity_flag': 1, 'number_of_variables': 535, ...} >>> # We can iterate the variable names contained in the file >>> print( [file_metadata.variable_infos[i_var].name.decode(\"utf8\").strip() for i_var in range(file_metadata.number_of_variables)] ) ['global', 'Parts: Energies and others', 'coordinates', 'velocities', ...] get_part_titles ( filepath , buffer_info = None ) Get the part title section Parameters: Name Type Description Default filepath str path to femzip file required buffer_info Union [None, FemzipBufferInfo ] buffer info if previously fetched None Returns: Name Type Description mview memoryview memory of the part title section has_femunziplib_license () Checks whether the extended libraries are available Returns: Name Type Description has_license bool Examples: >>> api.has_femunziplib_license() False is_femunzip_version_ok ( filepath ) Checks if the femunzip version can be handled Parameters: Name Type Description Default filepath str path to the femzpi file required Returns: Name Type Description version_ok bool Examples: >>> api.is_femunzip_version_ok(\"path/to/d3plot.fz\") True is_sidact_file ( filepath ) Tests if a filepath points at a sidact file Parameters: Name Type Description Default filepath str required Returns: Name Type Description is_sidact_file bool Examples: >>> api.is_sidact_file(\"path/to/d3plot.fz\") True >>> api.is_sidact_file(\"path/to/d3plot\") False >>> api.is_sidact_file(\"path/to/non/existing/file\") False load_dynamic_library ( path ) staticmethod Load a library and check for correct execution Parameters: Name Type Description Default path str path to the library required Returns: Name Type Description library CDLL loaded library read_geometry ( filepath , buffer_info = None , close_file = True ) Read the geometry buffer from femzip Parameters: Name Type Description Default filepath str path to femzpi file required buffer_info Union [ FemzipBufferInfo , None] struct with info regarding required memory for femzip None close_file bool it is useful to leave the file open if states are processed right afterwards True Returns: Name Type Description buffer memoryview memoryview of buffer Notes If the file isn't closed appropriately bugs and crashes might occur. Examples: >>> mview = api.read_geometry(filepath, buffer_info) read_single_state ( i_timestep , buffer_info , state_buffer = None ) Read a single state Parameters: Name Type Description Default i_timestep int timestep to be read required buffer_info FemzipBufferInfo infos about buffer sizes required state_buffer Union [None, memoryview ] buffer in which the states are stored None Notes It is unclear to us why the state buffer needs to be given in order to terminate state reading. Examples: >>> # get info about required memory >>> buffer_info = api.get_buffer_info(filepath) >>> # first read geometry and leave file open >>> mview_geom = api.read_geometry(filepath, buffer_info, False) >>> # now read a state >>> mview_state = api.read_single_state(0, buffer_info=buffer_info) >>> # close file >>> api.close_current_file() read_state_deletion_info ( buffer_info , state_filter = None ) Get information which elements are alive Parameters: Name Type Description Default buffer_info FemzipBufferInfo infos about buffer sizes required state_filter Union [ Set [ int ], None] usable to read only specific states None Notes The `buffer` must have the size of at least `buffer_info.size_activity`. Examples: >>> # get info about required memory >>> buffer_info = api.get_buffer_info(filepath) >>> # first read geometry and leave file open! >>> mview_geom = api.read_geometry(filepath, buffer_info, False) >>> # now read deletion info >>> array_deletion = api.read_state_activity(buffer_info) >>> # close file >>> api.close_current_file() read_states ( filepath , buffer_info = None , state_filter = None ) Reads all femzip state information Parameters: Name Type Description Default filepath str path to femzip file required buffer_info Union [ FemzipBufferInfo , None] struct with info regarding required memory for femzip None state_filter Union [ Set [ int ], None] usable to load only specific states None Returns: Name Type Description buffer memoryview buffer containing all state data Examples: >>> buffer_info = api.get_buffer_info(\"path/to/d3plot.fz\") >>> array_states = api.read_states(\"path/to/d3plot.fz\", buffer_info) read_variables ( file_metadata , n_parts , n_rigid_walls , n_rigid_wall_vars , n_airbag_particles , n_airbags , state_filter = None ) Read specific variables from Femzip Parameters: Name Type Description Default file_metadata FemzipFileMetadata metadata of file including which variables to read required n_parts int number of parts in the file required n_rigid_walls int number of rigid walls required n_rigid_wall_vars int number of rigid wall variables required n_airbag_particles int number of airbag particles in the file required n_airbags int required state_filter Union [ Set [ int ], None] used to read specific arrays None Returns: Name Type Description arrays dict dictionary with d3plot arrays Notes Uses extended femzip library and requires a license for 'FEMUNZIPLIB_DYNA'. Please contact sidact if required. struct_to_dict ( struct ) staticmethod Converts a ctypes struct into a dict Parameters: Name Type Description Default struct Structure required Returns: Name Type Description fields Dict [ str , Any ] struct as dict Examples: >>> api.struct_to_dict(api.get_femzip_status()) {'is_file_open': 1, 'is_geometry_read': 1, 'is_states_open': 0, 'i_timestep_state': -1, 'i_timestep_activity': -1}","title":"FemzipAPI"},{"location":"femzip/FemzipAPI/#femzipapi","text":"FemzipAPI contains wrapper functions around the femzip library.","title":"FemzipAPI"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.api","text":"Returns the loaded, shared object library of the native interface Returns: Name Type Description shared_object_lib CDLL Loaded shared object library.","title":"api"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.close_current_file","text":"Closes the current file handle(use not recommended)","title":"close_current_file()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.close_current_file--notes","text":"Closes a currently opened file by the API. There is no arg because femzip can process only one file at a time. This can also be used in case of bugs. Examples: >>> api.close_current_file()","title":"Notes"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.copy_struct","text":"Copies all fields from src struct to dest Parameters: Name Type Description Default src Structure src struct required src Structure destination struct required Examples: >>> err1 = FemzipError() >>> err1.ier = -1 >>> err1.msg = b\"Oops\" >>> err2 = FemzipError() >>> api.copy_struct(err1, err2) >>> err2.ier -1 >>> err2.msg b'Oops'","title":"copy_struct()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.get_buffer_info","text":"Get the dimensions of the buffers for femzip Parameters: Name Type Description Default filepath str path to femzip file required Returns: Name Type Description buffer_info FemzipBufferInfo c struct with infos about the memory required by femzip Examples: >>> # read memory demand info first >>> buffer_info = api.get_buffer_info(filepath) >>> # buffer info is a c struct, but we can print it >>> api.struct_to_dict(buffer_info) {'n_timesteps': 12, 'timesteps': , 'size_geometry': 537125, 'size_state': 1462902, 'size_displacement': 147716, 'size_activity': 47385, 'size_post': 1266356, 'size_titles': 1448} >>> for i_timestep in range(buffer_info.n_timesteps): >>> print(buffer_info.timesteps[i_timestep]) 0.0 0.9998100399971008 1.9998900890350342 2.9999701976776123 3.9997801780700684","title":"get_buffer_info()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.get_femzip_status","text":"Check the status of the femzip api Returns: Name Type Description femzip_status FemzipAPIStatus c struct with info about femzip API","title":"get_femzip_status()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.get_femzip_status--notes","text":"This reports whether a file is currently opened and how far it was processed. This internal state is used to avoid internal conflicts and crashes, thus is useful for debugging. Examples: >>> print(api.struct_to_dict(api.get_femzip_status())) {'is_file_open': 0, 'is_geometry_read': 0, 'is_states_open': 0, 'i_timestep_state': -1, 'i_timestep_activity': -1}","title":"Notes"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.get_file_metadata","text":"Get infos about the femzip variables in the file Parameters: Name Type Description Default filepath str path to femzip file required Returns: Name Type Description file_metadata FemzipFileMetadata c struct with infos about the femzip file","title":"get_file_metadata()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.get_file_metadata--notes","text":"This is for direct interaction with the C-API, thus should not be used by users. Examples: >>> file_metadata = api.get_file_metadata(\"path/to/d3plot.fz\") >>> # print general internals >>> api.struct_to_dict(file_metadata) {'version_zip': 605.0, 'activity_flag': 1, 'number_of_variables': 535, ...} >>> # We can iterate the variable names contained in the file >>> print( [file_metadata.variable_infos[i_var].name.decode(\"utf8\").strip() for i_var in range(file_metadata.number_of_variables)] ) ['global', 'Parts: Energies and others', 'coordinates', 'velocities', ...]","title":"Notes"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.get_part_titles","text":"Get the part title section Parameters: Name Type Description Default filepath str path to femzip file required buffer_info Union [None, FemzipBufferInfo ] buffer info if previously fetched None Returns: Name Type Description mview memoryview memory of the part title section","title":"get_part_titles()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.has_femunziplib_license","text":"Checks whether the extended libraries are available Returns: Name Type Description has_license bool Examples: >>> api.has_femunziplib_license() False","title":"has_femunziplib_license()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.is_femunzip_version_ok","text":"Checks if the femunzip version can be handled Parameters: Name Type Description Default filepath str path to the femzpi file required Returns: Name Type Description version_ok bool Examples: >>> api.is_femunzip_version_ok(\"path/to/d3plot.fz\") True","title":"is_femunzip_version_ok()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.is_sidact_file","text":"Tests if a filepath points at a sidact file Parameters: Name Type Description Default filepath str required Returns: Name Type Description is_sidact_file bool Examples: >>> api.is_sidact_file(\"path/to/d3plot.fz\") True >>> api.is_sidact_file(\"path/to/d3plot\") False >>> api.is_sidact_file(\"path/to/non/existing/file\") False","title":"is_sidact_file()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.load_dynamic_library","text":"Load a library and check for correct execution Parameters: Name Type Description Default path str path to the library required Returns: Name Type Description library CDLL loaded library","title":"load_dynamic_library()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_geometry","text":"Read the geometry buffer from femzip Parameters: Name Type Description Default filepath str path to femzpi file required buffer_info Union [ FemzipBufferInfo , None] struct with info regarding required memory for femzip None close_file bool it is useful to leave the file open if states are processed right afterwards True Returns: Name Type Description buffer memoryview memoryview of buffer","title":"read_geometry()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_geometry--notes","text":"If the file isn't closed appropriately bugs and crashes might occur. Examples: >>> mview = api.read_geometry(filepath, buffer_info)","title":"Notes"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_single_state","text":"Read a single state Parameters: Name Type Description Default i_timestep int timestep to be read required buffer_info FemzipBufferInfo infos about buffer sizes required state_buffer Union [None, memoryview ] buffer in which the states are stored None","title":"read_single_state()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_single_state--notes","text":"It is unclear to us why the state buffer needs to be given in order to terminate state reading. Examples: >>> # get info about required memory >>> buffer_info = api.get_buffer_info(filepath) >>> # first read geometry and leave file open >>> mview_geom = api.read_geometry(filepath, buffer_info, False) >>> # now read a state >>> mview_state = api.read_single_state(0, buffer_info=buffer_info) >>> # close file >>> api.close_current_file()","title":"Notes"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_state_deletion_info","text":"Get information which elements are alive Parameters: Name Type Description Default buffer_info FemzipBufferInfo infos about buffer sizes required state_filter Union [ Set [ int ], None] usable to read only specific states None","title":"read_state_deletion_info()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_state_deletion_info--notes","text":"The `buffer` must have the size of at least `buffer_info.size_activity`. Examples: >>> # get info about required memory >>> buffer_info = api.get_buffer_info(filepath) >>> # first read geometry and leave file open! >>> mview_geom = api.read_geometry(filepath, buffer_info, False) >>> # now read deletion info >>> array_deletion = api.read_state_activity(buffer_info) >>> # close file >>> api.close_current_file()","title":"Notes"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_states","text":"Reads all femzip state information Parameters: Name Type Description Default filepath str path to femzip file required buffer_info Union [ FemzipBufferInfo , None] struct with info regarding required memory for femzip None state_filter Union [ Set [ int ], None] usable to load only specific states None Returns: Name Type Description buffer memoryview buffer containing all state data Examples: >>> buffer_info = api.get_buffer_info(\"path/to/d3plot.fz\") >>> array_states = api.read_states(\"path/to/d3plot.fz\", buffer_info)","title":"read_states()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_variables","text":"Read specific variables from Femzip Parameters: Name Type Description Default file_metadata FemzipFileMetadata metadata of file including which variables to read required n_parts int number of parts in the file required n_rigid_walls int number of rigid walls required n_rigid_wall_vars int number of rigid wall variables required n_airbag_particles int number of airbag particles in the file required n_airbags int required state_filter Union [ Set [ int ], None] used to read specific arrays None Returns: Name Type Description arrays dict dictionary with d3plot arrays","title":"read_variables()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_variables--notes","text":"Uses extended femzip library and requires a license for 'FEMUNZIPLIB_DYNA'. Please contact sidact if required.","title":"Notes"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.struct_to_dict","text":"Converts a ctypes struct into a dict Parameters: Name Type Description Default struct Structure required Returns: Name Type Description fields Dict [ str , Any ] struct as dict Examples: >>> api.struct_to_dict(api.get_femzip_status()) {'is_file_open': 1, 'is_geometry_read': 1, 'is_states_open': 0, 'i_timestep_state': -1, 'i_timestep_activity': -1}","title":"struct_to_dict()"},{"location":"femzip/FemzipAPIStatus/","text":"FemzipAPIStatus Bases: Structure This struct summarizes the state of the femzip API library. The library has a shared, global state which is stored in static variables. The state of the gloval vars is tracked by this struct. Attributes: Name Type Description is_file_open c_int32 Whether a femzip file is opened and being processed. is_geometry_read c_int32 Whether the geometry was already read. is_states_open c_int32 Whether processing of the states was started. i_timestep_state c_int32 Counter of timestep processing. i_timestep_activity c_int32 Counter of activity data for timesteps.","title":"FemzipAPIStatus"},{"location":"femzip/FemzipAPIStatus/#femzipapistatus","text":"Bases: Structure This struct summarizes the state of the femzip API library. The library has a shared, global state which is stored in static variables. The state of the gloval vars is tracked by this struct. Attributes: Name Type Description is_file_open c_int32 Whether a femzip file is opened and being processed. is_geometry_read c_int32 Whether the geometry was already read. is_states_open c_int32 Whether processing of the states was started. i_timestep_state c_int32 Counter of timestep processing. i_timestep_activity c_int32 Counter of activity data for timesteps.","title":"FemzipAPIStatus"},{"location":"femzip/FemzipBufferInfo/","text":"FemzipBufferInfo Bases: Structure This struct describes necessary buffer sizes for reading the file Attributes: Name Type Description n_timesteps c_uint64 Number of timesteps timesteps POINTER ( c_float ) Time for each timestep size_geometry c_uint64 Size of the geometry buffer size_state c_uint64 Size of the state buffer size_displacement c_uint64 Size for displacement array size_activity c_uint64 Size for activity array (deletion stuff) size_post c_uint64 Size of the post region of which I currently don't know anymore what it was. size_titles c_uint64 Size of the titles region behind the geomtry.","title":"FemzipBufferInfo"},{"location":"femzip/FemzipBufferInfo/#femzipbufferinfo","text":"Bases: Structure This struct describes necessary buffer sizes for reading the file Attributes: Name Type Description n_timesteps c_uint64 Number of timesteps timesteps POINTER ( c_float ) Time for each timestep size_geometry c_uint64 Size of the geometry buffer size_state c_uint64 Size of the state buffer size_displacement c_uint64 Size for displacement array size_activity c_uint64 Size for activity array (deletion stuff) size_post c_uint64 Size of the post region of which I currently don't know anymore what it was. size_titles c_uint64 Size of the titles region behind the geomtry.","title":"FemzipBufferInfo"},{"location":"femzip/FemzipError/","text":"FemzipError Bases: Structure Struct representing femzip errors in c-code Attributes: Name Type Description ier c_int32 Error code msg c_char_p Error message","title":"FemzipError"},{"location":"femzip/FemzipError/#femziperror","text":"Bases: Structure Struct representing femzip errors in c-code Attributes: Name Type Description ier c_int32 Error code msg c_char_p Error message","title":"FemzipError"},{"location":"femzip/FemzipFileMetadata/","text":"FemzipFileMetadata Bases: Structure This struct contains metadata about femzip files. Attributes: Name Type Description version_zip c_float activity_flag c_int32 number_of_variables c_int32 number_of_nodes c_int32 number_of_solid_elements c_int32 number_of_thick_shell_elements c_int32 number_of_1D_elements c_int32 number_of_tool_elements c_int32 number_of_shell_elements c_int32 number_of_solid_element_neighbors c_int32 number_of_rbe_element_neighbors c_int32 number_of_bar_elements c_int32 number_of_beam_elements c_int32 number_of_plotel_elements c_int32 number_of_spring_elements c_int32 number_of_damper_elements c_int32 number_of_joint_elements c_int32 number_of_joint_element_neighbors c_int32 number_of_bar_element_neighbors c_int32 number_of_beamcross_elements c_int32 number_of_spotweld_elements c_int32 number_of_rbe_elements c_int32 number_of_hexa20_elements c_int32 number_of_rigid_shell_elements c_int32 number_of_timesteps c_int32 variable_infos POINTER ( VariableInfo )","title":"FemzipFileMetadata"},{"location":"femzip/FemzipFileMetadata/#femzipfilemetadata","text":"Bases: Structure This struct contains metadata about femzip files. Attributes: Name Type Description version_zip c_float activity_flag c_int32 number_of_variables c_int32 number_of_nodes c_int32 number_of_solid_elements c_int32 number_of_thick_shell_elements c_int32 number_of_1D_elements c_int32 number_of_tool_elements c_int32 number_of_shell_elements c_int32 number_of_solid_element_neighbors c_int32 number_of_rbe_element_neighbors c_int32 number_of_bar_elements c_int32 number_of_beam_elements c_int32 number_of_plotel_elements c_int32 number_of_spring_elements c_int32 number_of_damper_elements c_int32 number_of_joint_elements c_int32 number_of_joint_element_neighbors c_int32 number_of_bar_element_neighbors c_int32 number_of_beamcross_elements c_int32 number_of_spotweld_elements c_int32 number_of_rbe_elements c_int32 number_of_hexa20_elements c_int32 number_of_rigid_shell_elements c_int32 number_of_timesteps c_int32 variable_infos POINTER ( VariableInfo )","title":"FemzipFileMetadata"},{"location":"femzip/FemzipVariableCategory/","text":"FemzipVariableCategory Bases: enum . Enum Enum for femzip variable categories Attributes: Name Type Description GEOMETRY int -5 PART int -2 GLOBAL int -1 NODE int 0 SOLID int 1 THICK_SHELL int 2 BEAM int 3 TOOLS int 4 SHELL int 5 SPH int 6 FPM int 7 CFD int 8 CPM_FLOAT_VAR int 9 CPM_AIRBAG int 10 CPM_INT_VAR int 11 RADIOSS_STATE_DATA int 12 HEXA20 int 13 from_int ( number ) staticmethod Deserializes an integer into an enum Parameters: Name Type Description Default number int number to turn into an enum required Returns: Name Type Description enum_value FemzipVariableCategory","title":"FemzipVariableCategory"},{"location":"femzip/FemzipVariableCategory/#femzipvariablecategory","text":"Bases: enum . Enum Enum for femzip variable categories Attributes: Name Type Description GEOMETRY int -5 PART int -2 GLOBAL int -1 NODE int 0 SOLID int 1 THICK_SHELL int 2 BEAM int 3 TOOLS int 4 SHELL int 5 SPH int 6 FPM int 7 CFD int 8 CPM_FLOAT_VAR int 9 CPM_AIRBAG int 10 CPM_INT_VAR int 11 RADIOSS_STATE_DATA int 12 HEXA20 int 13","title":"FemzipVariableCategory"},{"location":"femzip/FemzipVariableCategory/#lasso.femzip.fz_config.FemzipVariableCategory.from_int","text":"Deserializes an integer into an enum Parameters: Name Type Description Default number int number to turn into an enum required Returns: Name Type Description enum_value FemzipVariableCategory","title":"from_int()"},{"location":"femzip/VariableInfo/","text":"VariableInfo Bases: Structure Struct for details about a single femzip variable Attributes: Name Type Description var_index c_int32 Index of the variable name c_char_p Name from femzip var_type c_int32 Variable type. See FemzipVariableCategory for translation. var_size c_int32 Array size of the field variable.","title":"VariableInfo"},{"location":"femzip/VariableInfo/#variableinfo","text":"Bases: Structure Struct for details about a single femzip variable Attributes: Name Type Description var_index c_int32 Index of the variable name c_char_p Name from femzip var_type c_int32 Variable type. See FemzipVariableCategory for translation. var_size c_int32 Array size of the field variable.","title":"VariableInfo"},{"location":"coverage/","text":"article h1, article > a, .md-sidebar--secondary { display: none !important; } var coviframe = document.getElementById(\"coviframe\"); function resizeIframe() { coviframe.style.height = coviframe.contentWindow.document.documentElement.offsetHeight + 'px'; } coviframe.contentWindow.document.body.onclick = function() { coviframe.contentWindow.location.reload(); }","title":"Coverage"}]} \ No newline at end of file +{"config":{"indexing":"full","lang":["en"],"min_search_length":3,"prebuild_index":false,"separator":"[\\s\\-]+"},"docs":[{"location":"","text":"Open LASSO Python This python library is designed for general purpose usage in the field of Computer Aided Engineering (CAE). It's name originates from the original initiator and donator of the project Lasso GmbH . The library is now maintained by an open-source community. Community Join our open-source community on: Discord Installation python -m pip install lasso-python","title":"Home"},{"location":"#open-lasso-python","text":"This python library is designed for general purpose usage in the field of Computer Aided Engineering (CAE). It's name originates from the original initiator and donator of the project Lasso GmbH . The library is now maintained by an open-source community.","title":"Open LASSO Python"},{"location":"#community","text":"Join our open-source community on: Discord","title":"Community"},{"location":"#installation","text":"python -m pip install lasso-python","title":"Installation"},{"location":"changelog/","text":"","title":"Changelog"},{"location":"diffcrash/diffcrash/","text":"lasso.diffcrash This is the diffcrash module, which consists of a command line utility as well as a class for writing scripts. Diffcrash is a software from Sidact which is designed for robustness analysis of simulation runs. It can be used as a set of independent executables or as a postprocessor plugin. Diffcrash itself must be licensed. Please therefore contact Sidact directly. This module makes running a Diffcrash analysis much easier. Command Line Utility Code","title":"Overview"},{"location":"diffcrash/diffcrash/#lassodiffcrash","text":"This is the diffcrash module, which consists of a command line utility as well as a class for writing scripts. Diffcrash is a software from Sidact which is designed for robustness analysis of simulation runs. It can be used as a set of independent executables or as a postprocessor plugin. Diffcrash itself must be licensed. Please therefore contact Sidact directly. This module makes running a Diffcrash analysis much easier. Command Line Utility Code","title":"lasso.diffcrash"},{"location":"diffcrash/diffcrash_run/","text":"DiffcrashRun This class can be used in order to automate diffcrash runs in a hopefully comfortable manner. Class for handling the settings of a diffcrash run __init__ ( project_dir , crash_code , reference_run , simulation_runs , exclude_runs , diffcrash_home = '' , use_id_mapping = False , config_file = None , parameter_file = None , n_processes = 1 , logfile_dir = None ) Object handling a diffcrash run Parameters: Name Type Description Default project_dir str directory to put all buffer files etc., in required crash_code str crash code to use. required reference_run str filepath to the reference run required simulation_runs typing . Sequence [ str ] patterns used to search for simulation runs required diffcrash_home str home directory of diffcrash installation. Uses environment variable DIFFCRASHHOME if not set. '' use_id_mapping bool whether to use id mapping instead of nearest neighbor mapping False config_file str filepath to a config file None parameter_file str filepath to the parameter file None n_processes int number of processes to spawn for worker pool 1 logfile_dir str directory to put logfiles in None check_if_logfiles_show_success ( pattern ) Check if a logfiles with given pattern show success Parameters: Name Type Description Default pattern str file pattern used to search for logfiles required Returns: Name Type Description messages List [ str ] list with messages of failed log checks clear_project_dir () Clears the entire project dir create_project_dirs () Creates all project relevant directores Notes Created dirs: - logfile_dir - project_dir is_logfile_successful ( logfile ) Checks if a logfile indicates a success Parameters: Name Type Description Default logfile str filepath to the logfile required Returns: Name Type Description success bool read_config_file ( config_file ) Read a diffcrash config file Parameters: Name Type Description Default config_file str path to the config file required Notes From the official diffcrash docs ... seriously. run_eigen ( pool ) Run diffcrash eigen Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required run_export ( pool ) Run diffcrash export Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required run_import ( pool ) Run diffcrash import of runs Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required run_math ( pool ) Run diffcrash math Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required run_matrix ( pool ) Run diffcrash matrix Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required run_merge ( pool ) Run diffcrash merge Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required run_setup ( pool ) Run diffcrash setup Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required","title":"Code"},{"location":"diffcrash/diffcrash_run/#diffcrashrun","text":"This class can be used in order to automate diffcrash runs in a hopefully comfortable manner. Class for handling the settings of a diffcrash run","title":"DiffcrashRun"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.__init__","text":"Object handling a diffcrash run Parameters: Name Type Description Default project_dir str directory to put all buffer files etc., in required crash_code str crash code to use. required reference_run str filepath to the reference run required simulation_runs typing . Sequence [ str ] patterns used to search for simulation runs required diffcrash_home str home directory of diffcrash installation. Uses environment variable DIFFCRASHHOME if not set. '' use_id_mapping bool whether to use id mapping instead of nearest neighbor mapping False config_file str filepath to a config file None parameter_file str filepath to the parameter file None n_processes int number of processes to spawn for worker pool 1 logfile_dir str directory to put logfiles in None","title":"__init__()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.check_if_logfiles_show_success","text":"Check if a logfiles with given pattern show success Parameters: Name Type Description Default pattern str file pattern used to search for logfiles required Returns: Name Type Description messages List [ str ] list with messages of failed log checks","title":"check_if_logfiles_show_success()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.clear_project_dir","text":"Clears the entire project dir","title":"clear_project_dir()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.create_project_dirs","text":"Creates all project relevant directores","title":"create_project_dirs()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.create_project_dirs--notes","text":"Created dirs: - logfile_dir - project_dir","title":"Notes"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.is_logfile_successful","text":"Checks if a logfile indicates a success Parameters: Name Type Description Default logfile str filepath to the logfile required Returns: Name Type Description success bool","title":"is_logfile_successful()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.read_config_file","text":"Read a diffcrash config file Parameters: Name Type Description Default config_file str path to the config file required","title":"read_config_file()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.read_config_file--notes","text":"From the official diffcrash docs ... seriously.","title":"Notes"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.run_eigen","text":"Run diffcrash eigen Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required","title":"run_eigen()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.run_export","text":"Run diffcrash export Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required","title":"run_export()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.run_import","text":"Run diffcrash import of runs Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required","title":"run_import()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.run_math","text":"Run diffcrash math Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required","title":"run_math()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.run_matrix","text":"Run diffcrash matrix Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required","title":"run_matrix()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.run_merge","text":"Run diffcrash merge Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required","title":"run_merge()"},{"location":"diffcrash/diffcrash_run/#lasso.diffcrash.diffcrash_run.DiffcrashRun.run_setup","text":"Run diffcrash setup Parameters: Name Type Description Default pool futures . ThreadPoolExecutor multiprocessing pool required","title":"run_setup()"},{"location":"diffcrash/run/","text":"run What is Diffcrash? Diffcrash is a software from Sidact which is designed for robustness analysis of simulation runs. It can be used as a set of independent executables or as a postprocessor plugin. Diffcrash itself must be licensed. Please therefore contact Sidact directly. This commmand line utility makes running a Diffcrash analysis much easier. How to use the utility? You can get the run info by performing: $ python -m lasso.diffcrash.run --help ==== D I F F C R A S H ==== an open lasso utility script usage: run.py [-h] --reference-run REFERENCE_RUN [--exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]]] --crash-code CRASH_CODE [--start-stage [START_STAGE]] [--end-stage [END_STAGE]] [--diffcrash-home [DIFFCRASH_HOME]] [--use-id-mapping [USE_ID_MAPPING]] [--project-dir [PROJECT_DIR]] [--config-file [CONFIG_FILE]] [--parameter-file [PARAMETER_FILE]] [--n-processes [N_PROCESSES]] [simulation_runs [simulation_runs ...]] Python utility script for Diffcrash. positional arguments: simulation_runs Simulation runs or patterns used to search for simulation runs. optional arguments: -h, --help show this help message and exit --reference-run REFERENCE_RUN filepath of the reference run. --exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]] Runs to exclude from the analysis. --crash-code CRASH_CODE Which crash code is used ('dyna', 'pam' or 'radioss'). --start-stage [START_STAGE] At which specific stage to start the analysis (SETUP, IMPORT, MATH, EXPORT, MATRIX, EIGEN, MERGE). --end-stage [END_STAGE] At which specific stage to stop the analysis (SETUP, IMPORT, MATH, EXPORT, MATRIX, EIGEN, MERGE). --diffcrash-home [DIFFCRASH_HOME] Home directory where Diffcrash is installed. Uses environment variable 'DIFFCRASHHOME' if unspecified. --use-id-mapping [USE_ID_MAPPING] Whether to use id-based mapping (default is nearest neighbour). --project-dir [PROJECT_DIR] Project dir to use for femzip. --config-file [CONFIG_FILE] Path to the config file. --parameter-file [PARAMETER_FILE] Path to the parameter file. --n-processes [N_PROCESSES] Number of processes to use (default: max-1). It is important to specify a --reference-run for the analysis. If the reference run is contained within the rest of the simulation_runs , it is automatically removed from that list. simulation_runs can be either tagged individually or by using placeholders for entire directories (e.g. '*.fz') and subdirectories (e.g. '/**/*.fz'). Warning Every run clears the project directory entirely! Example $ python -m lasso.diffcrash.run \\ $ --reference-run ./runs/run_1.fz \\ $ --crash-code dyna \\ $ --project-dir diffcrash_project \\ $ ./runs/*.fz ==== D I F F C R A S H ==== an open lasso utility script [/] diffcrash-home : /sw/Linux/diffcrash/V6.1.24 [/] project-dir : test-example-project [/] crash-code : dyna [/] reference-run : bus/run_1.fz [/] use-id-mapping : False [/] # simul.-files : 37 [/] # excluded files: 0 [/] config-file : None [!] Config file missing. Consider specifying the path with the option '--config-file'. [/] parameter-file : None [!] Parameter file missing. Consider specifying the path with the option '--parameter-file'. [/] n-processes : 4 ---- Running Routines ---- [\u2714] Running Setup ... done in 3.88s [\u2714] Running Imports ... done in 58.20s [\u2714] Running Math ... done in 56.22s [\u2714] Running Export ... done in 2.22s [\u2714] Running Matrix ... done in 9.78s [\u2714] Running Eigen ... done in 0.46s [\u2714] Running Merge ... done in 23.29s","title":"Command Line Tool"},{"location":"diffcrash/run/#run","text":"","title":"run"},{"location":"diffcrash/run/#what-is-diffcrash","text":"Diffcrash is a software from Sidact which is designed for robustness analysis of simulation runs. It can be used as a set of independent executables or as a postprocessor plugin. Diffcrash itself must be licensed. Please therefore contact Sidact directly. This commmand line utility makes running a Diffcrash analysis much easier.","title":"What is Diffcrash?"},{"location":"diffcrash/run/#how-to-use-the-utility","text":"You can get the run info by performing: $ python -m lasso.diffcrash.run --help ==== D I F F C R A S H ==== an open lasso utility script usage: run.py [-h] --reference-run REFERENCE_RUN [--exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]]] --crash-code CRASH_CODE [--start-stage [START_STAGE]] [--end-stage [END_STAGE]] [--diffcrash-home [DIFFCRASH_HOME]] [--use-id-mapping [USE_ID_MAPPING]] [--project-dir [PROJECT_DIR]] [--config-file [CONFIG_FILE]] [--parameter-file [PARAMETER_FILE]] [--n-processes [N_PROCESSES]] [simulation_runs [simulation_runs ...]] Python utility script for Diffcrash. positional arguments: simulation_runs Simulation runs or patterns used to search for simulation runs. optional arguments: -h, --help show this help message and exit --reference-run REFERENCE_RUN filepath of the reference run. --exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]] Runs to exclude from the analysis. --crash-code CRASH_CODE Which crash code is used ('dyna', 'pam' or 'radioss'). --start-stage [START_STAGE] At which specific stage to start the analysis (SETUP, IMPORT, MATH, EXPORT, MATRIX, EIGEN, MERGE). --end-stage [END_STAGE] At which specific stage to stop the analysis (SETUP, IMPORT, MATH, EXPORT, MATRIX, EIGEN, MERGE). --diffcrash-home [DIFFCRASH_HOME] Home directory where Diffcrash is installed. Uses environment variable 'DIFFCRASHHOME' if unspecified. --use-id-mapping [USE_ID_MAPPING] Whether to use id-based mapping (default is nearest neighbour). --project-dir [PROJECT_DIR] Project dir to use for femzip. --config-file [CONFIG_FILE] Path to the config file. --parameter-file [PARAMETER_FILE] Path to the parameter file. --n-processes [N_PROCESSES] Number of processes to use (default: max-1). It is important to specify a --reference-run for the analysis. If the reference run is contained within the rest of the simulation_runs , it is automatically removed from that list. simulation_runs can be either tagged individually or by using placeholders for entire directories (e.g. '*.fz') and subdirectories (e.g. '/**/*.fz'). Warning Every run clears the project directory entirely!","title":"How to use the utility?"},{"location":"diffcrash/run/#example","text":"$ python -m lasso.diffcrash.run \\ $ --reference-run ./runs/run_1.fz \\ $ --crash-code dyna \\ $ --project-dir diffcrash_project \\ $ ./runs/*.fz ==== D I F F C R A S H ==== an open lasso utility script [/] diffcrash-home : /sw/Linux/diffcrash/V6.1.24 [/] project-dir : test-example-project [/] crash-code : dyna [/] reference-run : bus/run_1.fz [/] use-id-mapping : False [/] # simul.-files : 37 [/] # excluded files: 0 [/] config-file : None [!] Config file missing. Consider specifying the path with the option '--config-file'. [/] parameter-file : None [!] Parameter file missing. Consider specifying the path with the option '--parameter-file'. [/] n-processes : 4 ---- Running Routines ---- [\u2714] Running Setup ... done in 3.88s [\u2714] Running Imports ... done in 58.20s [\u2714] Running Math ... done in 56.22s [\u2714] Running Export ... done in 2.22s [\u2714] Running Matrix ... done in 9.78s [\u2714] Running Eigen ... done in 0.46s [\u2714] Running Merge ... done in 23.29s","title":"Example"},{"location":"dimred/","text":"lasso.dimred The dimred module consists of a command line utility as well as several classes to reduce the dimensionality of D3plots and visualize the results.","title":"Overview"},{"location":"dimred/#lassodimred","text":"The dimred module consists of a command line utility as well as several classes to reduce the dimensionality of D3plots and visualize the results.","title":"lasso.dimred"},{"location":"dimred/DimredRun/","text":"DimredRun This class can be used in order to comfortably represent multiple D3plot samples in a 3D graph through dimensionality reduction. In the 3D graph every simulation is a data point and the closeness of the data points represents the similarity of the result field. It offers functions to: Subsample simulations to reduce the computational effort and account for different meshing. Reduce order which is the black magic reducing complex field results to a few numbers which can then be plotted in 3D. Clustering with sklearn to group simulations semi-automatically (mostly just a visual feature). Output 3D similarity plot as a webpage For ease of use, check out the Tool section, which explains the command line tool for this dimensionality reduction feature. Class to control and run the dimensionality reduction process __init__ ( simulation_runs , start_stage , end_stage , project_dir , html_name = '3d-beta-plot' , html_set_timestamp = False , reference_run = None , console = None , img_path = None , exclude_runs = None , logfile_filepath = None , n_processes = 1 , part_id_filter = None , timestep =- 1 , show_output = True , cluster_args = None , outlier_args = None ) Class handling a dimensionality reduction Parameters: Name Type Description Default simulation_runs Sequence [ str ] simulation runs to analyze required start_stage str where to start required end_stage str where to stop required project_dir Union [None, str ] required project directory for creation of buffer files. Allows restart in between. required html_name str Name of the output .html file '3d-beta-plot' html_set_timestamp bool If true, the output .html will include a timestamp (hh_mm_ss) at the end of the filename False reference_run str filepath to the reference run. If not set, first entry in simulation_runs will be used as reference run. None console Union [ Console , None] Console for information printing and logging. Rich offers pretty text printing, syntax highlighting etc. None img_path Union [None, str ] optional image directory to show images in visualization. None exclude_runs Union [None, Sequence [ str ]] optional list of runs to exclude from processing None logfile_filepath Union [ str , None] path of the log file (always appends) None n_processes int number of processes to use during execution 1 part_id_filter Union [None, Sequence [ int ]] which part ids to process None timestep int specifies timestep to analyze in clustering and show in output visualization -1 show_output bool Set to false not to show the output html in the browser True cluster_args Union [None, Sequence [ str ]] Arguments for cluster algorithm None outlier_args Union [None, Sequence [ str ]] Arguments for outlier detection algorithm None Notes Using a project directory allows to restart stages of the entire process. process_reference_run () Process the reference run subsample_to_reference_run () Subsamples all runs dimension_reduction_svd () Calculate V_ROB and Betas clustering_results () clustering results visualize_results () creates an output .html file","title":"DimredRun"},{"location":"dimred/DimredRun/#dimredrun","text":"This class can be used in order to comfortably represent multiple D3plot samples in a 3D graph through dimensionality reduction. In the 3D graph every simulation is a data point and the closeness of the data points represents the similarity of the result field. It offers functions to: Subsample simulations to reduce the computational effort and account for different meshing. Reduce order which is the black magic reducing complex field results to a few numbers which can then be plotted in 3D. Clustering with sklearn to group simulations semi-automatically (mostly just a visual feature). Output 3D similarity plot as a webpage For ease of use, check out the Tool section, which explains the command line tool for this dimensionality reduction feature. Class to control and run the dimensionality reduction process","title":"DimredRun"},{"location":"dimred/DimredRun/#lasso.dimred.dimred_run.DimredRun.__init__","text":"Class handling a dimensionality reduction Parameters: Name Type Description Default simulation_runs Sequence [ str ] simulation runs to analyze required start_stage str where to start required end_stage str where to stop required project_dir Union [None, str ] required project directory for creation of buffer files. Allows restart in between. required html_name str Name of the output .html file '3d-beta-plot' html_set_timestamp bool If true, the output .html will include a timestamp (hh_mm_ss) at the end of the filename False reference_run str filepath to the reference run. If not set, first entry in simulation_runs will be used as reference run. None console Union [ Console , None] Console for information printing and logging. Rich offers pretty text printing, syntax highlighting etc. None img_path Union [None, str ] optional image directory to show images in visualization. None exclude_runs Union [None, Sequence [ str ]] optional list of runs to exclude from processing None logfile_filepath Union [ str , None] path of the log file (always appends) None n_processes int number of processes to use during execution 1 part_id_filter Union [None, Sequence [ int ]] which part ids to process None timestep int specifies timestep to analyze in clustering and show in output visualization -1 show_output bool Set to false not to show the output html in the browser True cluster_args Union [None, Sequence [ str ]] Arguments for cluster algorithm None outlier_args Union [None, Sequence [ str ]] Arguments for outlier detection algorithm None","title":"__init__()"},{"location":"dimred/DimredRun/#lasso.dimred.dimred_run.DimredRun.__init__--notes","text":"Using a project directory allows to restart stages of the entire process.","title":"Notes"},{"location":"dimred/DimredRun/#lasso.dimred.dimred_run.DimredRun.process_reference_run","text":"Process the reference run","title":"process_reference_run()"},{"location":"dimred/DimredRun/#lasso.dimred.dimred_run.DimredRun.subsample_to_reference_run","text":"Subsamples all runs","title":"subsample_to_reference_run()"},{"location":"dimred/DimredRun/#lasso.dimred.dimred_run.DimredRun.dimension_reduction_svd","text":"Calculate V_ROB and Betas","title":"dimension_reduction_svd()"},{"location":"dimred/DimredRun/#lasso.dimred.dimred_run.DimredRun.clustering_results","text":"clustering results","title":"clustering_results()"},{"location":"dimred/DimredRun/#lasso.dimred.dimred_run.DimredRun.visualize_results","text":"creates an output .html file","title":"visualize_results()"},{"location":"dimred/KeywordTypes/","text":"Keyword Types Keywords for using the clustering_betas {.interpreted-text role=\"doc\"} functions. ClusterType Specifies names of specific clustering algorithms Attributes: Name Type Description OPTICS str OPTICS DBSCAN str DBSCAN KMeans str KMeans SpectralClustering str SpectralClustering get_cluster_type_name () staticmethod Get the name of the clustering algorithms DetectorType Specifies names of different outlier detector algorythms Attributes: Name Type Description IsolationForest str IsolationForest OneClassSVM str OneClassSVM LocalOutlierFactor str LocalOutlierFactor get_detector_type_name () staticmethod Get the name of the detector algorithms","title":"KeywordTypes"},{"location":"dimred/KeywordTypes/#keyword-types","text":"Keywords for using the clustering_betas {.interpreted-text role=\"doc\"} functions.","title":"Keyword Types"},{"location":"dimred/KeywordTypes/#lasso.dimred.svd.keyword_types.ClusterType","text":"Specifies names of specific clustering algorithms Attributes: Name Type Description OPTICS str OPTICS DBSCAN str DBSCAN KMeans str KMeans SpectralClustering str SpectralClustering","title":"ClusterType"},{"location":"dimred/KeywordTypes/#lasso.dimred.svd.keyword_types.ClusterType.get_cluster_type_name","text":"Get the name of the clustering algorithms","title":"get_cluster_type_name()"},{"location":"dimred/KeywordTypes/#lasso.dimred.svd.keyword_types.DetectorType","text":"Specifies names of different outlier detector algorythms Attributes: Name Type Description IsolationForest str IsolationForest OneClassSVM str OneClassSVM LocalOutlierFactor str LocalOutlierFactor","title":"DetectorType"},{"location":"dimred/KeywordTypes/#lasso.dimred.svd.keyword_types.DetectorType.get_detector_type_name","text":"Get the name of the detector algorithms","title":"get_detector_type_name()"},{"location":"dimred/clustering_betas/","text":"Clustering Betas Methods that apply different clustering and outlier detection algorithms. Offers additional functions to convert console command arguments into variables to use in the function. Warning This function is optimized to be used by the console commandline tool group_betas ( beta_index , betas , scale_betas = False , cluster = None , detector = None , cluster_params = None , detector_params = None ) Base function to to group betas into groups, detect outliers. Provides that all different clustering and outlier detection algorythms are implemented in an easy to access environment. To select different clustering and outlier detection algoyrthms, please use appropriate KeywordTypes. A description of each function can be accessed with document_algorythm(keyword) A list of all functions can be accessed with list_detectors_and_clusters() Parameters: Name Type Description Default beta_index Array containing the file names specific to the betas with the same index in the beta array required betas Numpy array containing the betas. Betas are expected to be of shape (samples, timestep, 3) The three entries per beta can either be dimesnions (x,y,z) or any three betas/eigenvalues required cluster String specifying which clustering algorythm shall be applied. Use ClusterTypefor easier access None detector String specifying which outlier detection algorythm shall be applied. Use DetectorType for easier access None cluster_params Dictionary containing parameters for the clustering algorythms. See the sklearn documentation for the function to learn more. None detector_params Dictionary containing parameters for the outlier detection algorythms. See the sklearn documentation for the function to learn more None Returns: Name Type Description beta_clusters list List containing Numpy Arrays of betas in one cluster. If a detector was selected, or the clustering algorythm has its own outlier detection, the first entry in the list will be oultier betas id_clusters list List containing lists of beta ids. Each id corresponds to the beta in the same place in the beta_clusters list err_msg str Error message if wrong keywords for detector or cluster algorithms were used Notes document_algorithm: Prints docstring of each function into console list_detectors_and_clusters: Prints out all detection and clustering algorythms into console Sklearn Userguide chapter 2.3 Clustering: https://scikit-learn.org/stable/modules/clustering.html Detailed overview of different clustering algorythms Sklearn Examples outlier detection: https://scikit-learn.org/stable/auto_examples/plot_anomaly_comparison.html Example of different used outlier detection algorythms create_cluster_arg_dict ( args ) Determines which cluster to use and creates a python dictionary to use as cluster_params Parameters: Name Type Description Default args Sequence [ str ] List of strings containing parameters and arguments required Returns: Name Type Description cluster_type str determines which cluster algorithm to use cluster_arg_dict dict dictionary containing arguments and values for specific cluster_type err_msg str message containing error, mostly unrecognised keywords create_detector_arg_dict ( args ) Determines which detector to use and creates a python dictionary to use as detector_params Parameters: Name Type Description Default args Sequence [ str ] List of strings containing parameters and arguments required Returns: Name Type Description detector_type str determines which cluster algorithm to use detector_arg_dict dict dictionary containing arguments and values for specific cluster_type err_mgs str message containing error, mostly unrecognised keywords","title":"clustering_betas"},{"location":"dimred/clustering_betas/#clustering-betas","text":"Methods that apply different clustering and outlier detection algorithms. Offers additional functions to convert console command arguments into variables to use in the function. Warning This function is optimized to be used by the console commandline tool","title":"Clustering Betas"},{"location":"dimred/clustering_betas/#lasso.dimred.svd.clustering_betas.group_betas","text":"Base function to to group betas into groups, detect outliers. Provides that all different clustering and outlier detection algorythms are implemented in an easy to access environment. To select different clustering and outlier detection algoyrthms, please use appropriate KeywordTypes. A description of each function can be accessed with document_algorythm(keyword) A list of all functions can be accessed with list_detectors_and_clusters() Parameters: Name Type Description Default beta_index Array containing the file names specific to the betas with the same index in the beta array required betas Numpy array containing the betas. Betas are expected to be of shape (samples, timestep, 3) The three entries per beta can either be dimesnions (x,y,z) or any three betas/eigenvalues required cluster String specifying which clustering algorythm shall be applied. Use ClusterTypefor easier access None detector String specifying which outlier detection algorythm shall be applied. Use DetectorType for easier access None cluster_params Dictionary containing parameters for the clustering algorythms. See the sklearn documentation for the function to learn more. None detector_params Dictionary containing parameters for the outlier detection algorythms. See the sklearn documentation for the function to learn more None Returns: Name Type Description beta_clusters list List containing Numpy Arrays of betas in one cluster. If a detector was selected, or the clustering algorythm has its own outlier detection, the first entry in the list will be oultier betas id_clusters list List containing lists of beta ids. Each id corresponds to the beta in the same place in the beta_clusters list err_msg str Error message if wrong keywords for detector or cluster algorithms were used","title":"group_betas()"},{"location":"dimred/clustering_betas/#lasso.dimred.svd.clustering_betas.group_betas--notes","text":"document_algorithm: Prints docstring of each function into console list_detectors_and_clusters: Prints out all detection and clustering algorythms into console Sklearn Userguide chapter 2.3 Clustering: https://scikit-learn.org/stable/modules/clustering.html Detailed overview of different clustering algorythms Sklearn Examples outlier detection: https://scikit-learn.org/stable/auto_examples/plot_anomaly_comparison.html Example of different used outlier detection algorythms","title":"Notes"},{"location":"dimred/clustering_betas/#lasso.dimred.svd.clustering_betas.create_cluster_arg_dict","text":"Determines which cluster to use and creates a python dictionary to use as cluster_params Parameters: Name Type Description Default args Sequence [ str ] List of strings containing parameters and arguments required Returns: Name Type Description cluster_type str determines which cluster algorithm to use cluster_arg_dict dict dictionary containing arguments and values for specific cluster_type err_msg str message containing error, mostly unrecognised keywords","title":"create_cluster_arg_dict()"},{"location":"dimred/clustering_betas/#lasso.dimred.svd.clustering_betas.create_detector_arg_dict","text":"Determines which detector to use and creates a python dictionary to use as detector_params Parameters: Name Type Description Default args Sequence [ str ] List of strings containing parameters and arguments required Returns: Name Type Description detector_type str determines which cluster algorithm to use detector_arg_dict dict dictionary containing arguments and values for specific cluster_type err_mgs str message containing error, mostly unrecognised keywords","title":"create_detector_arg_dict()"},{"location":"dimred/command_line_interface/","text":"Command-Line Tool What does this command-line tool do? This command-line tool creates compact overviews over tens, hundreds or even thousands of simulation runs. This is done by performing an unsupervised learning method on the displacement field of the simulations. The result is a report in the form of a 3D plot. Every point in the plot is a simulation result. If two points are very close their simulation results are also expected to be very similar. One can confirm by using images from every simulation (there is an option to specify the path to a folder with those images). Example Visualization Report This is a plot for dimensionality reduction of a rail getting crushed. This plot has many detail levels. Check out the following facts: There are two groups. The small group stands for samples buckling bottom . The big group represents buckling in the top area. There are two outliers Sample 143 is folding in the top and bottom. Sample 99 is folding in the middle. Similarity Axis The similarity axis X describes buckling top or bottom The similarity axis Y describes how much a sample gets compressed The samples are basically in a plane. The out of plane axis represents buckling not strictly top but also slightly in the lower end (zoom in). .navClosed { background-color: white; transition: 0.5s; display: flex; flex-direction: row; align-content: center; width: 100%; margin-bottom: 100px; } #plotDiv { width: 70%; } .imgDiv { width: 50%; display: flex; justify-content: center; align-items: center; } img.hoverIMG { /* height: 550px; */ } path = \"https://www.lasso.de/fileadmin/ressources/ml-embedding-images/\" imgType = \"png\" const plotDiv = document.getElementById(\"plotDiv\") function initDocument(){ /* const userWidth = plotDiv.offsetWidth / 2 const userHeight = \"550px\" plotDiv.style = `width: ${Math.floor( userWidth * 0.65) - 10}px; height: ${userHeight-30}px; z-index: 10;` plotDiv.style = `width: ${Math.floor( userWidth * 0.25) - 10}px; height: ${userHeight-30}px; z-index: 1;` */ } function resizeContents(){ /* let userWidth = plotDiv.offsetWidth / 2 const userHeight = \"550px\" plotDiv.style = `width: ${Math.floor( userWidth * 0.65) - 10}px; height: ${userHeight-30}px; z-index: 10;` plotDiv.style = `width: ${Math.floor( userWidth * 0.25) - 10}px; height: ${userHeight-30}px: z-index: 1;` Plotly.Plots.resize(plotDiv) */ } initDocument() const runIDs = [['1000', '100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '10', '110', '111', '112', '113', '114', '115', '116', '117', '118', '119', '11', '120', '121', '122', '123', '124', '125', '126', '127', '128', '129', '12', '130', '131', '132', '133', '134', '135', '136', '137', '138', '139', '13', '140', '141', '142', '143', '144', '145', '146', '147', '148', '149', '14', '150', '151', '152', '153', '154', '155', '156', '157', '158', '159', '15', '160', '161', '162', '163', '164', '165', '166', '167', '168', '169', '16', '170', '171', '172', '173', '174', '175', '176', '177', '178', '179', '17', '180', '181', '182', '183', '184', '185', '186', '187', '188', '189', '18', '190', '191', '192', '193', '194', '195', '196', 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-1808.20153, -1552.65673, -1497.01902, -1581.24905, -1586.56829, -1594.57584, -1629.18614, -1569.73538, -1603.22399], }, layout = { paper_bgcolor: 'rgba(0,0,0,0)', plot_bgcolor: 'rgba(0,0,0,0)', scene: { yaxis: { title: 'sx' }, xaxis: { title: 'sy' }, zaxis: { title: 'sz' }, }, margin: { t: 30, l: 0, r: 0, b: 0, }, } config = { showLink: false, modeBarButtonsToRemove: ['sendDataToCloud'], responsive: true, } Plotly.plot(plotDiv, [trace0, ], layout, config) plotDiv.on('plotly_hover', data =>{ const runID = runIDs[data.points[0].curveNumber][data.points[0].pointNumber] document.getElementById(\"hoverIMG\").src = path+`/${runID}.`+imgType }) window.onresize = () => { resizeContents() } Quick Start You can call the command-line tool as follows: $ python -m lasso.dimred.run --help usage: run.py [-h] --reference-run REFERENCE_RUN [--exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]]] [--start-stage [START_STAGE]] [--end-stage [END_STAGE]] --project-dir PROJECT_DIR [--embedding-images EMBEDDING_IMAGES] [--logfile-filepath [LOGFILE_FILEPATH]] [--n-processes [N_PROCESSES]] [--part-ids [PART_IDS [PART_IDS ...]]] [--timestep TIMESTEP] [--cluster-args [CLUSTER_ARGS [CLUSTER_ARGS ...]]] [--outlier-args [OUTLIER_ARGS [OUTLIER_ARGS ...]]] [simulation_runs [simulation_runs ...]] Python utility script for dimensionality reduction. positional arguments: simulation_runs Simulation runs or patterns used to search for simulation runs. optional arguments: -h, --help show this help message and exit --reference-run REFERENCE_RUN Set the reference run instead of using the first entry in simulation runs. --exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]] Runs to exclude from the analysis. --start-stage [START_STAGE] At which specific stage to start the analysis (REFERENCE_RUN, IMPORT_RUNS, REDUCTION, CLUSTERING, EXPORT_PLOT). --end-stage [END_STAGE] At which specific stage to stop the analysis (REFERENCE_RUN, IMPORT_RUNS, REDUCTION, CLUSTERING, EXPORT_PLOT). --project-dir PROJECT_DIR Project dir for temporary files. Must be specified to allow restart at specific steps --embedding-images EMBEDDING_IMAGES Path to folder containing images of runs. Sample names must be numbers --logfile-filepath [LOGFILE_FILEPATH] Path for the logfile. A file will be created automatically if a project dir is specified. --n-processes [N_PROCESSES] Number of processes to use (default: n_cpu-1). --part-ids [PART_IDS [PART_IDS ...]] Part ids to process. By default all are taken. --timestep TIMESTEP Sets timestep to analyse. Uses last timestep if not set. --cluster-args [CLUSTER_ARGS [CLUSTER_ARGS ...]] Arguments for clustering algorithms. If not set, clustering will be skipped. --outlier-args [OUTLIER_ARGS [OUTLIER_ARGS ...]] Arguments for outlier detection befor clustering. Following arguments are required for the analysis: simulation-runs --project-dir] simulation-runs can be either tagged individually or by using placeholders for entire directories (e.g. '*.fz') and subdirectories (e.g. './**/*.fz'). Warning Every run clears respective steps of the generated .hdf5 file of previous runs, as well as the logfile. Tutorial In this tutorial, we will introduce the application of the command-line utility and explain some of the arguments. Make sure to have some similar D3plots (20 should already be fine). At first we will only apply the required arguments: $ python -m lasso/dimred/run \\ $ user/tutorial/plots/plot*.fz \\ $ --project-dir user/tutorial/projectfolder The first required argument is the filepath to the folder containing the simulation runs. In our case, all plots are contained in the same folder. If each plot is saved in its own folder, the command would look like this: $ python -m lasso/dimred/run \\ $ user/tutorial/plots*/plot.fz \\ $ --project-dir user/tutorial/projectfolder The --project-dir argument specifies the folder where the project data is saved. This will be a project_buffer.hdf5 file, a logfile , and the 3d_beta_plot[hh:mm:ss].html output. Note that for each run, corresponding entries in the project_buffer.hdf5 and the logfile will be overwritten. How to access the results in the project_buffer.hdf5 file will be discussed later. Your output should look similar to this: ==== OPEN - LASSO ==== \u250f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2513 \u2503 n-processes \u2503 5 \u2503 \u2502 reference-run \u2502 user/tuorial/plots/plot0.fz \u2502 \u2502 project-dir \u2502 user/tutorial/projectfolder \u2502 \u2502 # simul.-files \u2502 35 \u2502 \u2502 # excluded files \u2502 0 \u2502 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 ---- Running Routines ---- [14:25:56] Reference Subsample ... [14:26:04] Loadtime Reference subample: 8.020 [14:26:04] Total time for Reference subample: 8.080 [14:26:04] Reference subsample completed [14:26:04] Subsampling Subsampling plots ... \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 35 of 35; [14:29:03] Average Time per Subsampling Process: 24.76 [14:29:03] Average Loadtime per sample: 24.55 [14:29:03] Subsampling completed [14:29:03] Dimension Reduction ... [14:29:04] Dimension Reduction completed [14:29:04] No arguments provided for clustering, clustering aborted [14:29:04] Creating .html viz [14:29:05] Finished creating viz The output provides information about the different stages of the dimred tool, as well as some additional information. This allows you to keep track of the tools progress. The following 5 stages are run through: REFERENCE_RUN: The reference run is subsampled and saved. The reference run is either the first entry of the simulation runs, or can be manually set with --reference-run IMPORT_RUNS: The provided simulation runs are loaded, and subsampled using the reference run. This process applies a nearest neighbor algorithm to match nodes between different meshes to compensate for different meshing. REDUCTION: The dimensionality reduction is performed. CLUSTERING: If clustering and outlier arguments are provided, the results will be further categorized. EXPORT_PLOT: The results are exported and saved as .html file. Note Your computer may slow down while using the tool. If you want to use other programs while waiting on the tool to finish, reduce the amount of cores with --n-processes Start and End stage Next, we will take a look at the --start-stage and --end-stage arguments. These allow to restart and end the command-line utility at certain points in the process. This is usefull if you don't want to repeat certain stages to save time, or want to end the process prematurly, e.g. don't want to generate the .html output. To set the desired start and end stage, use the the following keywords: REFERENCE_RUN IMPORT_RUNS REDUCTION CLUSTERING EXPORT_PLOT Example: $ python -m lasso/dimred/run \\ $ user/tutorial/plots \\ $ --project-dir user/tutorial/projectfolder \\ $ --start-stage REDUCTION \\ $ --end-stage CLUSTERING ==== OPEN - LASSO ==== \u250f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2513 \u2503 n-processes \u2503 5 \u2503 \u2502 reference-run \u2502 user/tutorial/plots/plot0.fz \u2502 \u2502 project-dir \u2502 user/tutorial/projectfolder \u2502 \u2502 # simul.-files \u2502 35 \u2502 \u2502 # excluded files \u2502 0 \u2502 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 ---- Running Routines ---- [14:45:28] Skipped import stage [14:45:28] Dimension Reduction ... [14:45:29] Dimension Reduction completed [14:45:29] No arguments provided for clustering, clustering aborted This process is much quicker, as the samples have already been loaded and subsampled. Note that this only works, if the stages before the selected start stage (here: REFERENCE_RUN and IMPORT_RUNS have already been processed before. Clustering and outlier detection The dimred tool has an integrated functionality to cluster your results and detect outliers. Following cluster algorithms from the scikit sklearn library have been implemented: kmeans SpectralClustering DBScan Optics Additionally, you have access to the following outlier detection algorithms from the same library: IsolationForest LocalOutlierFactor OneClassSVM These classes have additional optional arguments, specified in their respective documentation. Here is an example on how to find two clusters with kmeans and detect oultiers with LocalOutlierFactor: $ python -m lasso/dimred/run \\ $ user/tutorial/plots \\ $ --project-dir user/tutorial/projectfolder \\ $ --reference-run user/tuorial/referenceplot \\ $ --start-stage REDUCTION \\ $ --cluster-arg kmeans n_clusters int 2 \\ $ --outlier-args LocalOutlierFactor !!! note> The argument n_clusters is followed by its type and then its value! The type of a keyword can be referenced by the appropriate sklearn documentation. Some types are not supported, make sure that they are either float , int or str . We skip the import stage again and add the --cluster-args and --outlier-args arguments, followed by the desired algorithm and optional additional arguments and their values. Accessing the results All results, as well as the subsamples and reference subsample are saved in the project_buffer.hdf5 file. You can access these in your own python scripts: import numpy as np import h5py h5py_path = \"user/tutorial/project_buffer.hdf5\" h5file = h5py . File ( h5py_path ) # access the reference subsamples: ref_sample = h5file [ \"subsample\" ][:] # create a numpy array containing displacement of all subsamples # this returns an array of shape (samples, timesteps, nodes, dims) np . stack ( h5file [ \"subsampled_runs\" ][ entry ][:] for entry in h5file [ \"subsampled_runs\" ] . keys ()]) # create a numpy array containg the right reduced order basis for projection: v_rob = h5file [ \"v_rob\" ][:] # the subsampled runs are projected into the right reduced order basis and called betas: betas = np . stack ([ h5file [ \"betas\" ][ entry ][:] for entry in h5file [ \"betas\" ] . keys ()]) These betas are used for the visulatization and if specified, clustering or outlier detection. In the visulatization, only the first 3 coefficients (betas) and only the last timestamp are accounted for. If you have provided clustering and outlier detection arguments, you can also access the different clusters: cluster_index = np . stack ([ h5file [ \"betas\" ][ entry ] . attrs [ \"cluster\" ] for entry in h5file [ \"betas\" ] . keys () ]) beta_clusters = [] for cluster in range ( h5file [ \"betas\" ] . attrs [ \"nr_clusters\" ]): beta_clusters . append ( betas [ np . where ( cluster_index == cluster )[ 0 ]]) The beta_clusters list contains lists of betas for each cluster. If outlier arguments have been provided, the first list contains all detected outliers. FAQ How to specify a path to the displayed images? In the final HTML there is a menu on the left side. In it you can specify a path to the image folder, as well as the file-ending. Be aware: The names of the images must be a number starting at 0 .","title":"Command Line Tool"},{"location":"dimred/command_line_interface/#command-line-tool","text":"","title":"Command-Line Tool"},{"location":"dimred/command_line_interface/#what-does-this-command-line-tool-do","text":"This command-line tool creates compact overviews over tens, hundreds or even thousands of simulation runs. This is done by performing an unsupervised learning method on the displacement field of the simulations. The result is a report in the form of a 3D plot. Every point in the plot is a simulation result. If two points are very close their simulation results are also expected to be very similar. One can confirm by using images from every simulation (there is an option to specify the path to a folder with those images).","title":"What does this command-line tool do?"},{"location":"dimred/command_line_interface/#example-visualization-report","text":"This is a plot for dimensionality reduction of a rail getting crushed. This plot has many detail levels. Check out the following facts: There are two groups. The small group stands for samples buckling bottom . The big group represents buckling in the top area. There are two outliers Sample 143 is folding in the top and bottom. Sample 99 is folding in the middle. Similarity Axis The similarity axis X describes buckling top or bottom The similarity axis Y describes how much a sample gets compressed The samples are basically in a plane. The out of plane axis represents buckling not strictly top but also slightly in the lower end (zoom in). .navClosed { background-color: white; transition: 0.5s; display: flex; flex-direction: row; align-content: center; width: 100%; margin-bottom: 100px; } #plotDiv { width: 70%; } .imgDiv { width: 50%; display: flex; justify-content: center; align-items: center; } img.hoverIMG { /* height: 550px; */ } path = \"https://www.lasso.de/fileadmin/ressources/ml-embedding-images/\" imgType = \"png\" const plotDiv = document.getElementById(\"plotDiv\") function initDocument(){ /* const userWidth = plotDiv.offsetWidth / 2 const userHeight = \"550px\" plotDiv.style = `width: ${Math.floor( userWidth * 0.65) - 10}px; height: ${userHeight-30}px; z-index: 10;` plotDiv.style = `width: ${Math.floor( userWidth * 0.25) - 10}px; height: ${userHeight-30}px; z-index: 1;` */ } function resizeContents(){ /* let userWidth = plotDiv.offsetWidth / 2 const userHeight = \"550px\" plotDiv.style = `width: ${Math.floor( userWidth * 0.65) - 10}px; height: ${userHeight-30}px; z-index: 10;` plotDiv.style = `width: ${Math.floor( userWidth * 0.25) - 10}px; height: ${userHeight-30}px: z-index: 1;` Plotly.Plots.resize(plotDiv) */ } initDocument() const runIDs = [['1000', '100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '10', '110', '111', '112', '113', '114', '115', '116', '117', '118', '119', '11', '120', '121', '122', '123', '124', '125', '126', '127', '128', '129', '12', '130', '131', '132', '133', '134', '135', '136', '137', '138', '139', '13', '140', '141', '142', '143', '144', '145', '146', '147', '148', '149', '14', '150', '151', '152', '153', '154', '155', '156', '157', '158', '159', '15', '160', '161', '162', '163', '164', '165', '166', '167', '168', '169', '16', '170', '171', '172', '173', '174', '175', '176', '177', '178', '179', '17', '180', '181', '182', '183', '184', '185', '186', '187', '188', '189', '18', '190', '191', '192', '193', '194', '195', '196', 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-1808.20153, -1552.65673, -1497.01902, -1581.24905, -1586.56829, -1594.57584, -1629.18614, -1569.73538, -1603.22399], }, layout = { paper_bgcolor: 'rgba(0,0,0,0)', plot_bgcolor: 'rgba(0,0,0,0)', scene: { yaxis: { title: 'sx' }, xaxis: { title: 'sy' }, zaxis: { title: 'sz' }, }, margin: { t: 30, l: 0, r: 0, b: 0, }, } config = { showLink: false, modeBarButtonsToRemove: ['sendDataToCloud'], responsive: true, } Plotly.plot(plotDiv, [trace0, ], layout, config) plotDiv.on('plotly_hover', data =>{ const runID = runIDs[data.points[0].curveNumber][data.points[0].pointNumber] document.getElementById(\"hoverIMG\").src = path+`/${runID}.`+imgType }) window.onresize = () => { resizeContents() }","title":"Example Visualization Report"},{"location":"dimred/command_line_interface/#quick-start","text":"You can call the command-line tool as follows: $ python -m lasso.dimred.run --help usage: run.py [-h] --reference-run REFERENCE_RUN [--exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]]] [--start-stage [START_STAGE]] [--end-stage [END_STAGE]] --project-dir PROJECT_DIR [--embedding-images EMBEDDING_IMAGES] [--logfile-filepath [LOGFILE_FILEPATH]] [--n-processes [N_PROCESSES]] [--part-ids [PART_IDS [PART_IDS ...]]] [--timestep TIMESTEP] [--cluster-args [CLUSTER_ARGS [CLUSTER_ARGS ...]]] [--outlier-args [OUTLIER_ARGS [OUTLIER_ARGS ...]]] [simulation_runs [simulation_runs ...]] Python utility script for dimensionality reduction. positional arguments: simulation_runs Simulation runs or patterns used to search for simulation runs. optional arguments: -h, --help show this help message and exit --reference-run REFERENCE_RUN Set the reference run instead of using the first entry in simulation runs. --exclude-runs [EXCLUDE_RUNS [EXCLUDE_RUNS ...]] Runs to exclude from the analysis. --start-stage [START_STAGE] At which specific stage to start the analysis (REFERENCE_RUN, IMPORT_RUNS, REDUCTION, CLUSTERING, EXPORT_PLOT). --end-stage [END_STAGE] At which specific stage to stop the analysis (REFERENCE_RUN, IMPORT_RUNS, REDUCTION, CLUSTERING, EXPORT_PLOT). --project-dir PROJECT_DIR Project dir for temporary files. Must be specified to allow restart at specific steps --embedding-images EMBEDDING_IMAGES Path to folder containing images of runs. Sample names must be numbers --logfile-filepath [LOGFILE_FILEPATH] Path for the logfile. A file will be created automatically if a project dir is specified. --n-processes [N_PROCESSES] Number of processes to use (default: n_cpu-1). --part-ids [PART_IDS [PART_IDS ...]] Part ids to process. By default all are taken. --timestep TIMESTEP Sets timestep to analyse. Uses last timestep if not set. --cluster-args [CLUSTER_ARGS [CLUSTER_ARGS ...]] Arguments for clustering algorithms. If not set, clustering will be skipped. --outlier-args [OUTLIER_ARGS [OUTLIER_ARGS ...]] Arguments for outlier detection befor clustering. Following arguments are required for the analysis: simulation-runs --project-dir] simulation-runs can be either tagged individually or by using placeholders for entire directories (e.g. '*.fz') and subdirectories (e.g. './**/*.fz'). Warning Every run clears respective steps of the generated .hdf5 file of previous runs, as well as the logfile.","title":"Quick Start"},{"location":"dimred/command_line_interface/#tutorial","text":"In this tutorial, we will introduce the application of the command-line utility and explain some of the arguments. Make sure to have some similar D3plots (20 should already be fine). At first we will only apply the required arguments: $ python -m lasso/dimred/run \\ $ user/tutorial/plots/plot*.fz \\ $ --project-dir user/tutorial/projectfolder The first required argument is the filepath to the folder containing the simulation runs. In our case, all plots are contained in the same folder. If each plot is saved in its own folder, the command would look like this: $ python -m lasso/dimred/run \\ $ user/tutorial/plots*/plot.fz \\ $ --project-dir user/tutorial/projectfolder The --project-dir argument specifies the folder where the project data is saved. This will be a project_buffer.hdf5 file, a logfile , and the 3d_beta_plot[hh:mm:ss].html output. Note that for each run, corresponding entries in the project_buffer.hdf5 and the logfile will be overwritten. How to access the results in the project_buffer.hdf5 file will be discussed later. Your output should look similar to this: ==== OPEN - LASSO ==== \u250f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2513 \u2503 n-processes \u2503 5 \u2503 \u2502 reference-run \u2502 user/tuorial/plots/plot0.fz \u2502 \u2502 project-dir \u2502 user/tutorial/projectfolder \u2502 \u2502 # simul.-files \u2502 35 \u2502 \u2502 # excluded files \u2502 0 \u2502 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 ---- Running Routines ---- [14:25:56] Reference Subsample ... [14:26:04] Loadtime Reference subample: 8.020 [14:26:04] Total time for Reference subample: 8.080 [14:26:04] Reference subsample completed [14:26:04] Subsampling Subsampling plots ... \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 35 of 35; [14:29:03] Average Time per Subsampling Process: 24.76 [14:29:03] Average Loadtime per sample: 24.55 [14:29:03] Subsampling completed [14:29:03] Dimension Reduction ... [14:29:04] Dimension Reduction completed [14:29:04] No arguments provided for clustering, clustering aborted [14:29:04] Creating .html viz [14:29:05] Finished creating viz The output provides information about the different stages of the dimred tool, as well as some additional information. This allows you to keep track of the tools progress. The following 5 stages are run through: REFERENCE_RUN: The reference run is subsampled and saved. The reference run is either the first entry of the simulation runs, or can be manually set with --reference-run IMPORT_RUNS: The provided simulation runs are loaded, and subsampled using the reference run. This process applies a nearest neighbor algorithm to match nodes between different meshes to compensate for different meshing. REDUCTION: The dimensionality reduction is performed. CLUSTERING: If clustering and outlier arguments are provided, the results will be further categorized. EXPORT_PLOT: The results are exported and saved as .html file. Note Your computer may slow down while using the tool. If you want to use other programs while waiting on the tool to finish, reduce the amount of cores with --n-processes","title":"Tutorial"},{"location":"dimred/command_line_interface/#start-and-end-stage","text":"Next, we will take a look at the --start-stage and --end-stage arguments. These allow to restart and end the command-line utility at certain points in the process. This is usefull if you don't want to repeat certain stages to save time, or want to end the process prematurly, e.g. don't want to generate the .html output. To set the desired start and end stage, use the the following keywords: REFERENCE_RUN IMPORT_RUNS REDUCTION CLUSTERING EXPORT_PLOT Example: $ python -m lasso/dimred/run \\ $ user/tutorial/plots \\ $ --project-dir user/tutorial/projectfolder \\ $ --start-stage REDUCTION \\ $ --end-stage CLUSTERING ==== OPEN - LASSO ==== \u250f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2513 \u2503 n-processes \u2503 5 \u2503 \u2502 reference-run \u2502 user/tutorial/plots/plot0.fz \u2502 \u2502 project-dir \u2502 user/tutorial/projectfolder \u2502 \u2502 # simul.-files \u2502 35 \u2502 \u2502 # excluded files \u2502 0 \u2502 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 ---- Running Routines ---- [14:45:28] Skipped import stage [14:45:28] Dimension Reduction ... [14:45:29] Dimension Reduction completed [14:45:29] No arguments provided for clustering, clustering aborted This process is much quicker, as the samples have already been loaded and subsampled. Note that this only works, if the stages before the selected start stage (here: REFERENCE_RUN and IMPORT_RUNS have already been processed before.","title":"Start and End stage"},{"location":"dimred/command_line_interface/#clustering-and-outlier-detection","text":"The dimred tool has an integrated functionality to cluster your results and detect outliers. Following cluster algorithms from the scikit sklearn library have been implemented: kmeans SpectralClustering DBScan Optics Additionally, you have access to the following outlier detection algorithms from the same library: IsolationForest LocalOutlierFactor OneClassSVM These classes have additional optional arguments, specified in their respective documentation. Here is an example on how to find two clusters with kmeans and detect oultiers with LocalOutlierFactor: $ python -m lasso/dimred/run \\ $ user/tutorial/plots \\ $ --project-dir user/tutorial/projectfolder \\ $ --reference-run user/tuorial/referenceplot \\ $ --start-stage REDUCTION \\ $ --cluster-arg kmeans n_clusters int 2 \\ $ --outlier-args LocalOutlierFactor !!! note> The argument n_clusters is followed by its type and then its value! The type of a keyword can be referenced by the appropriate sklearn documentation. Some types are not supported, make sure that they are either float , int or str . We skip the import stage again and add the --cluster-args and --outlier-args arguments, followed by the desired algorithm and optional additional arguments and their values.","title":"Clustering and outlier detection"},{"location":"dimred/command_line_interface/#accessing-the-results","text":"All results, as well as the subsamples and reference subsample are saved in the project_buffer.hdf5 file. You can access these in your own python scripts: import numpy as np import h5py h5py_path = \"user/tutorial/project_buffer.hdf5\" h5file = h5py . File ( h5py_path ) # access the reference subsamples: ref_sample = h5file [ \"subsample\" ][:] # create a numpy array containing displacement of all subsamples # this returns an array of shape (samples, timesteps, nodes, dims) np . stack ( h5file [ \"subsampled_runs\" ][ entry ][:] for entry in h5file [ \"subsampled_runs\" ] . keys ()]) # create a numpy array containg the right reduced order basis for projection: v_rob = h5file [ \"v_rob\" ][:] # the subsampled runs are projected into the right reduced order basis and called betas: betas = np . stack ([ h5file [ \"betas\" ][ entry ][:] for entry in h5file [ \"betas\" ] . keys ()]) These betas are used for the visulatization and if specified, clustering or outlier detection. In the visulatization, only the first 3 coefficients (betas) and only the last timestamp are accounted for. If you have provided clustering and outlier detection arguments, you can also access the different clusters: cluster_index = np . stack ([ h5file [ \"betas\" ][ entry ] . attrs [ \"cluster\" ] for entry in h5file [ \"betas\" ] . keys () ]) beta_clusters = [] for cluster in range ( h5file [ \"betas\" ] . attrs [ \"nr_clusters\" ]): beta_clusters . append ( betas [ np . where ( cluster_index == cluster )[ 0 ]]) The beta_clusters list contains lists of betas for each cluster. If outlier arguments have been provided, the first list contains all detected outliers.","title":"Accessing the results"},{"location":"dimred/command_line_interface/#faq","text":"","title":"FAQ"},{"location":"dimred/command_line_interface/#how-to-specify-a-path-to-the-displayed-images","text":"In the final HTML there is a menu on the left side. In it you can specify a path to the image folder, as well as the file-ending. Be aware: The names of the images must be a number starting at 0 .","title":"How to specify a path to the displayed images?"},{"location":"dimred/plot_beta_clusters/","text":"Plot beta clusters Functions converting input list of clusters and corresponding ids into a .html page visualizing the results as a 3D Plot plot_clusters_js ( beta_cluster , id_cluster , save_path , img_path = None , mark_outliers = False , mark_timestamp = True , filename = '3d_beta_plot' , write = True , show_res = True ) Creates a .html visualization of input data Parameters: Name Type Description Default beta_cluster Sequence Numpy array containing beta clusters required id_cluster Union [ np . ndarray , Sequence ] Numpy array or sequence containing the ids samples in clusters. Must be of same structure as beta_clusters required save_path str Where to save the .html visualization required img_path Union [None, str ] Path to images of samples None mark_outliers bool Set to True if first entry in beta_cluster are outliers False mark_timestamp bool Set to True if name of visualization shall contain time of creation. If set to False, visualization will override previous file True filename str Name of .hmtl file '3d_beta_plot' write bool Set to False to not write .html file and return as string instead True show_res bool Set to False to not open resulting page in webbrowser True Returns: Name Type Description html_str_formatted str If write=False returns .hmtl file as string, else None","title":"plot_beta_clusters"},{"location":"dimred/plot_beta_clusters/#plot-beta-clusters","text":"Functions converting input list of clusters and corresponding ids into a .html page visualizing the results as a 3D Plot","title":"Plot beta clusters"},{"location":"dimred/plot_beta_clusters/#lasso.dimred.svd.plot_beta_clusters.plot_clusters_js","text":"Creates a .html visualization of input data Parameters: Name Type Description Default beta_cluster Sequence Numpy array containing beta clusters required id_cluster Union [ np . ndarray , Sequence ] Numpy array or sequence containing the ids samples in clusters. Must be of same structure as beta_clusters required save_path str Where to save the .html visualization required img_path Union [None, str ] Path to images of samples None mark_outliers bool Set to True if first entry in beta_cluster are outliers False mark_timestamp bool Set to True if name of visualization shall contain time of creation. If set to False, visualization will override previous file True filename str Name of .hmtl file '3d_beta_plot' write bool Set to False to not write .html file and return as string instead True show_res bool Set to False to not open resulting page in webbrowser True Returns: Name Type Description html_str_formatted str If write=False returns .hmtl file as string, else None","title":"plot_clusters_js()"},{"location":"dimred/pod_functions/","text":"POD Functions These functions are used for the proper orthogonal decomposition of samples calculate_v_and_betas ( stacked_sub_displ , progress_bar = None , task_id = None ) Calculates the right reduced order Basis V and up to 10 eigenvalues of the subsamples Parameters: Name Type Description Default stacked_sub_displ np . ndarray np.ndarray containing all subsampled displacements shape must be (samples, timesteps, nodes, dims) required Returns: Name Type Description v_big np . ndarray Reduced order basis to transform betas bag into subsamples betas np . ndarray Projected simulation runs err_msg str Error message if not enough samples where provided svd_step_and_dim ( s_mat , k = 10 ) Performs a svds operation on the two dimensional s_mat Parameters: Name Type Description Default s_mat np . ndarray 2D array on which the svds operation shall be performed required k The size of the POD 10 Returns: Name Type Description v ndarray Array containing the right reduced order basis","title":"pod_functions"},{"location":"dimred/pod_functions/#pod-functions","text":"These functions are used for the proper orthogonal decomposition of samples","title":"POD Functions"},{"location":"dimred/pod_functions/#lasso.dimred.svd.pod_functions.calculate_v_and_betas","text":"Calculates the right reduced order Basis V and up to 10 eigenvalues of the subsamples Parameters: Name Type Description Default stacked_sub_displ np . ndarray np.ndarray containing all subsampled displacements shape must be (samples, timesteps, nodes, dims) required Returns: Name Type Description v_big np . ndarray Reduced order basis to transform betas bag into subsamples betas np . ndarray Projected simulation runs err_msg str Error message if not enough samples where provided","title":"calculate_v_and_betas()"},{"location":"dimred/pod_functions/#lasso.dimred.svd.pod_functions.svd_step_and_dim","text":"Performs a svds operation on the two dimensional s_mat Parameters: Name Type Description Default s_mat np . ndarray 2D array on which the svds operation shall be performed required k The size of the POD 10 Returns: Name Type Description v ndarray Array containing the right reduced order basis","title":"svd_step_and_dim()"},{"location":"dimred/subsampling_methods/","text":"Subsampling Methods Methods used to perform subsampling of simulation runs. create_reference_subsample ( load_path , parts , nr_samples = 2000 ) Loads the D3plot at load_path, extracts the node coordinates of part 13, returns a random subsample of these nodes Parameters: Name Type Description Default load_path str Filepath of the D3plot required parts Sequence [ int ] List of parts to be extracted required nr_samples How many nodes are subsampled 2000 Returns: Name Type Description reference_sample np . array Numpy array containing the reference sample t_total float Total time required for subsampling t_load float Time required to load plot err_msg str If an error occurs, a string containing the error is returned instead remap_random_subsample ( load_path , parts , reference_subsample ) Remaps the specified sample onto a new mesh provided by reference subsampl, using knn matching Parameters: Name Type Description Default load_path str Filepath of the desired D3plot required parts list Which parts shall be extracted from the D3plot required reference_subsample np . ndarray Numpy array containing the reference nodes required Returns: Name Type Description subsampled_displacement np . ndarray Subsampled displacement of provided sample t_total float Total time required to perform subsampling t_load float Time required to load D3plot err_msg str If an error occured, a string is returned instead containing the error","title":"subsampling_methods"},{"location":"dimred/subsampling_methods/#subsampling-methods","text":"Methods used to perform subsampling of simulation runs.","title":"Subsampling Methods"},{"location":"dimred/subsampling_methods/#lasso.dimred.svd.subsampling_methods.create_reference_subsample","text":"Loads the D3plot at load_path, extracts the node coordinates of part 13, returns a random subsample of these nodes Parameters: Name Type Description Default load_path str Filepath of the D3plot required parts Sequence [ int ] List of parts to be extracted required nr_samples How many nodes are subsampled 2000 Returns: Name Type Description reference_sample np . array Numpy array containing the reference sample t_total float Total time required for subsampling t_load float Time required to load plot err_msg str If an error occurs, a string containing the error is returned instead","title":"create_reference_subsample()"},{"location":"dimred/subsampling_methods/#lasso.dimred.svd.subsampling_methods.remap_random_subsample","text":"Remaps the specified sample onto a new mesh provided by reference subsampl, using knn matching Parameters: Name Type Description Default load_path str Filepath of the desired D3plot required parts list Which parts shall be extracted from the D3plot required reference_subsample np . ndarray Numpy array containing the reference nodes required Returns: Name Type Description subsampled_displacement np . ndarray Subsampled displacement of provided sample t_total float Total time required to perform subsampling t_load float Time required to load D3plot err_msg str If an error occured, a string is returned instead containing the error","title":"remap_random_subsample()"},{"location":"dimred/svd/","text":"Module lasso.dimred.svd Module containing the methods and functions used by DimredRun subsampling_methods pod_functions clustering_betas plot_beta_clusters KeywordTypes","title":"Description"},{"location":"dimred/svd/#module-lassodimredsvd","text":"Module containing the methods and functions used by DimredRun subsampling_methods pod_functions clustering_betas plot_beta_clusters KeywordTypes","title":"Module lasso.dimred.svd"},{"location":"dyna/","text":"lasso.dyna The dyna module contains classes to read, write and display LS-Dyna result files. For a detailed list of features, see the following list: D3plot Read & Write Beam, Shell, Solid, TShell Results Element/Node deletion Part Metadata Material Type Data Rigid Body Data Rigid Road Data SPH Particles Plot shell-based parts as 3D HTML Binout Read & Write Note The D3plot reader can process almost every structural result or results connected to it such as airbag results. Multi-Solver data though and connected results are not supported. D3plot Example >>> from lasso.dyna import D3plot , ArrayType , FilterType >>> # read a file (zero-copy reading of everything) >>> d3plot = D3plot ( \"path/to/d3plot\" ) >>> # read file >>> # - buffered (less memory usage) >>> # - only node displacements (safes memory) >>> # - read only first and last state >>> d3plot = D3plot ( \"path/to/d3plot\" , >>> state_array_filter = [ \"node_displacement\" ], >>> buffered_reading = True , >>> state_filter = { 0 , - 1 }) >>> # and of course femzipped files >>> d3plot = D3plot ( \"path/to/d3plot.fz\" ) >>> # get arrays (see docs of ArrayType for shape info) >>> disp = d3plot . arrays [ \"node_displacement\" ] >>> disp . shape ( 34 , 51723 , 3 ) >>> # this is safer and has auto-completion >>> disp = d3plot . arrays [ ArrayType . node_displacement ] >>> # filter elements for certain parts >>> pstrain = d3plot . arrays [ ArrayType . element_shell_effective_plastic_strain ] >>> pstrain . shape ( 34 , 56372 , 3 ) >>> mask = d3plot . get_part_filter ( FilterType . SHELL , [ 44 , 45 ]) >>> # filter elements with mask >>> pstrain [:, mask ] . shape ( 34 , 17392 , 3 ) >>> # create a standalone html plot >>> d3plot . plot ()","title":"Overview"},{"location":"dyna/#lassodyna","text":"The dyna module contains classes to read, write and display LS-Dyna result files. For a detailed list of features, see the following list: D3plot Read & Write Beam, Shell, Solid, TShell Results Element/Node deletion Part Metadata Material Type Data Rigid Body Data Rigid Road Data SPH Particles Plot shell-based parts as 3D HTML Binout Read & Write Note The D3plot reader can process almost every structural result or results connected to it such as airbag results. Multi-Solver data though and connected results are not supported.","title":"lasso.dyna"},{"location":"dyna/#d3plot-example","text":">>> from lasso.dyna import D3plot , ArrayType , FilterType >>> # read a file (zero-copy reading of everything) >>> d3plot = D3plot ( \"path/to/d3plot\" ) >>> # read file >>> # - buffered (less memory usage) >>> # - only node displacements (safes memory) >>> # - read only first and last state >>> d3plot = D3plot ( \"path/to/d3plot\" , >>> state_array_filter = [ \"node_displacement\" ], >>> buffered_reading = True , >>> state_filter = { 0 , - 1 }) >>> # and of course femzipped files >>> d3plot = D3plot ( \"path/to/d3plot.fz\" ) >>> # get arrays (see docs of ArrayType for shape info) >>> disp = d3plot . arrays [ \"node_displacement\" ] >>> disp . shape ( 34 , 51723 , 3 ) >>> # this is safer and has auto-completion >>> disp = d3plot . arrays [ ArrayType . node_displacement ] >>> # filter elements for certain parts >>> pstrain = d3plot . arrays [ ArrayType . element_shell_effective_plastic_strain ] >>> pstrain . shape ( 34 , 56372 , 3 ) >>> mask = d3plot . get_part_filter ( FilterType . SHELL , [ 44 , 45 ]) >>> # filter elements with mask >>> pstrain [:, mask ] . shape ( 34 , 17392 , 3 ) >>> # create a standalone html plot >>> d3plot . plot ()","title":"D3plot Example"},{"location":"dyna/ArrayType/","text":"ArrayType Specifies the names for specific arrays Enums from this class shall be used as a preferred practice instead of the string array names to ensure compatibility. Attributes: Name Type Description global_timesteps str array shape: (n_timesteps) global_kinetic_energy str array shape: (n_timesteps) global_internal_energy str array shape: (n_timesteps) global_total_energy str array shape: (n_timesteps) global_velocity str array shape: (n_timesteps) node_ids str array shape: (n_nodes) node_coordinates str array shape: (n_nodes, x_y_z) node_displacement str array shape: (n_states, n_nodes, x_y_z) node_velocity str array shape: (n_states, n_nodes, x_y_z) node_acceleration str array shape: (n_states, n_nodes, x_y_z) node_is_alive str array shape: (n_states, n_nodes) node_temperature str array shape: (n_states, n_nodes) or (n_states, n_nodes, 3) node_heat_flux str array shape: (n_states, n_nodes, 3) node_mass_scaling str array shape: (n_states, n_nodes) node_temperature_gradient str array shape: (n_states, n_nodes) node_residual_forces str array shape: (n_states, n_nodes, fx_fy_fz) node_residual_moments str array shape: (n_states, n_nodes, mx_my_mz) element_solid_node_indexes str array shape: (n_solids, 8) element_solid_part_indexes str array shape: (n_solids) element_solid_ids str array shape: (n_solids) element_solid_thermal_data str array shape: (n_states, n_solids, n_solids_thermal_vars) element_solid_stress str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_effective_plastic_strain str array shape: (n_states, n_solid_layers, n_solids) element_solid_history_variables str array shape: (n_states, n_solids, n_solid_layers, n_solids_history_vars) element_solid_strain str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_plastic_strain_tensor str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_thermal_strain_tensor str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_is_alive str array shape: (n_states, n_solids) element_solid_extra_nodes str array shape: (n_solids, 2) element_solid_node10_extra_node_indexes str array shape: (n_solids, 2) element_solid_node20_element_index str array shape: (n_node20_solids) element_solid_node20_extra_node_indexes str array shape: (n_node20_solids, 12) element_solid_node27_element_index str array shape: (n_node27_solids) element_solid_node27_extra_node_indexes str array shape: (n_node27_solids, 27) element_solid_node21_penta_element_index str array shape: (n_node21p_solids) element_solid_node21_penta_extra_node_indexes str array shape: (n_node21p_solids, 21) element_solid_node15_tetras_element_index str array shape: (n_node15t_solids) element_solid_node15_tetras_extra_node_indexes str array shape: (n_node15t_solids, 7) element_solid_node20_tetras_element_index str array shape: (n_node20t_solids) element_solid_node20_tetras_extra_node_indexes str array shape: (n_node20t_solids, 20) element_solid_node40_pentas_element_index str array shape: (n_node40h_solids) element_solid_node40_pentas_extra_node_indexes str array shape: (n_node40h_solids, 40) element_solid_node64_hexas_element_index str array shape: (n_node64h_solids) element_solid_node64_hexas_extra_node_indexes str array shape: (n_node64h_solids, 64) element_tshell_part_indexes str array shape: (n_tshells) element_tshell_node_indexes str array shape: (n_tshells, 8) element_tshell_ids str array shape: (n_tshells) element_tshell_stress str array shape: (n_states, n_tshells, n_tshells_layers, xx_yy_zz_xy_yz_xz) element_tshell_effective_plastic_strain str array shape: (n_states, n_tshells, n_tshells_layers) element_tshell_history_variables str array shape: (n_states, n_tshells, n_tshells_layers, xx_yy_zz_xy_yz_xz) element_tshell_is_alive str array shape: (n_states, n_tshells) element_tshell_strain str array shape: (n_states, n_tshells, upper_lower, xx_yy_zz_xy_yz_xz) element_beam_part_indexes str array shape: (n_beams) element_beam_node_indexes str array shape: (n_beams, 5) element_beam_ids str array shape: (n_beams) element_beam_axial_force str array shape: (n_states, n_beams) element_beam_shear_force str array shape: (n_states, n_beams, s_t) element_beam_bending_moment str array shape: (n_states, n_beams, s_t) element_beam_torsion_moment str array shape: (n_states, n_beams) element_beam_shear_stress str array shape: (n_states, n_beams, n_beams_layers, rs_rt) element_beam_axial_stress str array shape: (n_states, n_beams, n_beams_layers) element_beam_plastic_strain str array shape: (n_states, n_beams, n_beams_layers) element_beam_axial_strain str array shape: (n_states, n_beams, n_beams_layers) element_beam_history_vars str array shape: (n_states, n_beams, n_beams_layers+3, n_beams_history_vars) element_beam_is_alive str array shape: (n_states, n_beams) element_shell_part_indexes str array shape (n_shells, 4) element_shell_node_indexes str array shape (n_shells) element_shell_ids str array shape (n_shells) element_shell_stress str array shape (n_states, n_shells_non_rigid, n_shell_layers, xx_yy_zz_xy_yz_xz) element_shell_effective_plastic_strain str array shape (n_states, n_shells_non_rigid, n_shell_layers) element_shell_history_vars str array shape (n_states, n_shells_non_rigid, n_shell_layers, n_shell_history_vars) element_shell_bending_moment str array shape (n_states, n_shells_non_rigid, mx_my_mxy) element_shell_shear_force str array shape (n_states, n_shells_non_rigid, qx_qy) element_shell_normal_force str array shape (n_states, n_shells_non_rigid, nx_ny_nxy) element_shell_thickness str array shape (n_states, n_shells_non_rigid) element_shell_unknown_variables str array shape (n_states, n_shells_non_rigid, 2) element_shell_internal_energy str array shape (n_states, n_shells_non_rigid) element_shell_strain str array shape (n_states, n_shells_non_rigid, upper_lower, xx_yy_zz_xy_yz_xz) element_shell_is_alive str array shape (n_states, n_shells_non_rigid) element_shell_node8_extra_node_indexes str array shape (n_shells, 4) element_shell_node8_element_index str array shape: (n_shells) element_shell_plastic_strain_tensor str array shape(n_states, n_shells_non_rigid, n_layers, 6) element_shell_thermal_strain_tensor str array shape(n_states, n_shells_non_rigid, 6) part_material_type str array shape: (n_parts) part_ids str array shape: (n_parts) part_ids_unordered str array shape: (n_parts) part_ids_cross_references str array shape: (n_parts) part_titles str array shape: (n_parts) part_titles_ids str array shape: (n_parts) part_internal_energy str array shape: (n_states, n_parts) part_kinetic_energy str array shape: (n_states, n_parts) part_velocity str array shape: (n_states, n_parts, x_y_z) part_mass str array shape: (n_states, n_parts) part_hourglass_energy str array shape: (n_states, n_parts) sph_node_indexes str array shape: (n_sph_nodes) sph_node_material_index str array shape: (n_sph_nodes) sph_is_alive str array shape: (n_states, n_sph_particles) sph_radius str array shape: (n_states, n_sph_particles) sph_pressure str array shape: (n_states, n_sph_particles) sph_stress str array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz) sph_effective_plastic_strain str array shape: (n_states, n_sph_particles) sph_density str array shape: (n_states, n_sph_particles) sph_internal_energy str array shape: (n_states, n_sph_particles) sph_n_neighbors str array shape: (n_states, n_sph_particles) sph_strain str array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz) sph_strainrate str array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz) sph_mass str array shape: (n_states, n_sph_particles) sph_deletion str array shape: (n_states, n_sph_particles) sph_history_vars str array shape: (n_states, n_sph_particles, n_sph_history_vars) airbag_variable_names str array shape: (n_variables) airbag_variable_types str array shape: (n_variables) airbags_first_particle_id str array shape: (n_airbags) airbags_n_particles str array shape: (n_airbags) airbags_ids str array shape: (n_airbags) airbags_n_gas_mixtures str array shape: (n_airbags) airbags_n_chambers str array shape: (n_airbags) airbag_n_active_particles str array shape: (n_states, n_airbags) airbag_bag_volume str array shape: (n_states, n_airbags) airbag_particle_gas_id str array shape: (n_states, n_airbag_particles) airbag_particle_chamber_id str array shape: (n_states, n_airbag_particles) airbag_particle_leakage str array shape: (n_states, n_airbag_particles) airbag_particle_mass str array shape: (n_states, n_airbag_particles) airbag_particle_radius str array shape: (n_states, n_airbag_particles) airbag_particle_spin_energy str array shape: (n_states, n_airbag_particles) airbag_particle_translation_energy str array shape: (n_states, n_airbag_particles) airbag_particle_nearest_segment_distance str array shape: (n_states, n_airbag_particles) airbag_particle_position str array shape: (n_states, n_airbag_particles, x_y_z) airbag_particle_velocity str array shape: (n_states, n_airbag_particles, x_y_z) rigid_road_node_ids str array shape: (rigid_road_n_nodes) rigid_road_node_coordinates str array shape: (rigid_road_n_nodes, x_y_z) rigid_road_ids str array shape: (n_roads) rigid_road_n_segments str array shape: (n_roads) rigid_road_segment_node_ids str list!: (n_roads, 4*n_road_segments) rigid_road_segment_road_id str list!: (n_roads, n_road_segments) rigid_road_displacement str array shape: (n_states, n_roads, x_y_z) rigid_road_velocity str array shape: (n_states, n_roads, x_y_z) rigid_body_part_indexes str array shape: (n_rigid_bodies) rigid_body_n_nodes str array shape: (n_rigid_bodies) rigid_body_node_indexes_list str list!: (n_rigid_bodies, n_rigid_body_nodes (differs)) rigid_body_n_active_nodes str array shape: (n_rigid_bodies) rigid_body_active_node_indexes_list str list!: (n_rigid_bodies, n_rigid_body_nodes (differs)) rigid_body_coordinates str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_rotation_matrix str array shape: (n_states, n_rigid_bodies, 9) rigid_body_velocity str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_rot_velocity str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_acceleration str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_rot_acceleration str array shape: (n_states, n_rigid_bodies, x_y_z) contact_title_ids str array shape: (n_contacts) contact_titles str array shape: (n_contacts) ale_material_ids str array shape: (n_ale_material) rigid_wall_force str array shape: (n_states, n_rigid_walls) rigid_wall_position str array shape: (n_states, n_rigid_walls, x_y_z) get_state_array_names () staticmethod Get the names of all state arrays Returns: state_array_names: List[str] list of state array names","title":"ArrayType"},{"location":"dyna/ArrayType/#arraytype","text":"Specifies the names for specific arrays Enums from this class shall be used as a preferred practice instead of the string array names to ensure compatibility. Attributes: Name Type Description global_timesteps str array shape: (n_timesteps) global_kinetic_energy str array shape: (n_timesteps) global_internal_energy str array shape: (n_timesteps) global_total_energy str array shape: (n_timesteps) global_velocity str array shape: (n_timesteps) node_ids str array shape: (n_nodes) node_coordinates str array shape: (n_nodes, x_y_z) node_displacement str array shape: (n_states, n_nodes, x_y_z) node_velocity str array shape: (n_states, n_nodes, x_y_z) node_acceleration str array shape: (n_states, n_nodes, x_y_z) node_is_alive str array shape: (n_states, n_nodes) node_temperature str array shape: (n_states, n_nodes) or (n_states, n_nodes, 3) node_heat_flux str array shape: (n_states, n_nodes, 3) node_mass_scaling str array shape: (n_states, n_nodes) node_temperature_gradient str array shape: (n_states, n_nodes) node_residual_forces str array shape: (n_states, n_nodes, fx_fy_fz) node_residual_moments str array shape: (n_states, n_nodes, mx_my_mz) element_solid_node_indexes str array shape: (n_solids, 8) element_solid_part_indexes str array shape: (n_solids) element_solid_ids str array shape: (n_solids) element_solid_thermal_data str array shape: (n_states, n_solids, n_solids_thermal_vars) element_solid_stress str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_effective_plastic_strain str array shape: (n_states, n_solid_layers, n_solids) element_solid_history_variables str array shape: (n_states, n_solids, n_solid_layers, n_solids_history_vars) element_solid_strain str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_plastic_strain_tensor str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_thermal_strain_tensor str array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) element_solid_is_alive str array shape: (n_states, n_solids) element_solid_extra_nodes str array shape: (n_solids, 2) element_solid_node10_extra_node_indexes str array shape: (n_solids, 2) element_solid_node20_element_index str array shape: (n_node20_solids) element_solid_node20_extra_node_indexes str array shape: (n_node20_solids, 12) element_solid_node27_element_index str array shape: (n_node27_solids) element_solid_node27_extra_node_indexes str array shape: (n_node27_solids, 27) element_solid_node21_penta_element_index str array shape: (n_node21p_solids) element_solid_node21_penta_extra_node_indexes str array shape: (n_node21p_solids, 21) element_solid_node15_tetras_element_index str array shape: (n_node15t_solids) element_solid_node15_tetras_extra_node_indexes str array shape: (n_node15t_solids, 7) element_solid_node20_tetras_element_index str array shape: (n_node20t_solids) element_solid_node20_tetras_extra_node_indexes str array shape: (n_node20t_solids, 20) element_solid_node40_pentas_element_index str array shape: (n_node40h_solids) element_solid_node40_pentas_extra_node_indexes str array shape: (n_node40h_solids, 40) element_solid_node64_hexas_element_index str array shape: (n_node64h_solids) element_solid_node64_hexas_extra_node_indexes str array shape: (n_node64h_solids, 64) element_tshell_part_indexes str array shape: (n_tshells) element_tshell_node_indexes str array shape: (n_tshells, 8) element_tshell_ids str array shape: (n_tshells) element_tshell_stress str array shape: (n_states, n_tshells, n_tshells_layers, xx_yy_zz_xy_yz_xz) element_tshell_effective_plastic_strain str array shape: (n_states, n_tshells, n_tshells_layers) element_tshell_history_variables str array shape: (n_states, n_tshells, n_tshells_layers, xx_yy_zz_xy_yz_xz) element_tshell_is_alive str array shape: (n_states, n_tshells) element_tshell_strain str array shape: (n_states, n_tshells, upper_lower, xx_yy_zz_xy_yz_xz) element_beam_part_indexes str array shape: (n_beams) element_beam_node_indexes str array shape: (n_beams, 5) element_beam_ids str array shape: (n_beams) element_beam_axial_force str array shape: (n_states, n_beams) element_beam_shear_force str array shape: (n_states, n_beams, s_t) element_beam_bending_moment str array shape: (n_states, n_beams, s_t) element_beam_torsion_moment str array shape: (n_states, n_beams) element_beam_shear_stress str array shape: (n_states, n_beams, n_beams_layers, rs_rt) element_beam_axial_stress str array shape: (n_states, n_beams, n_beams_layers) element_beam_plastic_strain str array shape: (n_states, n_beams, n_beams_layers) element_beam_axial_strain str array shape: (n_states, n_beams, n_beams_layers) element_beam_history_vars str array shape: (n_states, n_beams, n_beams_layers+3, n_beams_history_vars) element_beam_is_alive str array shape: (n_states, n_beams) element_shell_part_indexes str array shape (n_shells, 4) element_shell_node_indexes str array shape (n_shells) element_shell_ids str array shape (n_shells) element_shell_stress str array shape (n_states, n_shells_non_rigid, n_shell_layers, xx_yy_zz_xy_yz_xz) element_shell_effective_plastic_strain str array shape (n_states, n_shells_non_rigid, n_shell_layers) element_shell_history_vars str array shape (n_states, n_shells_non_rigid, n_shell_layers, n_shell_history_vars) element_shell_bending_moment str array shape (n_states, n_shells_non_rigid, mx_my_mxy) element_shell_shear_force str array shape (n_states, n_shells_non_rigid, qx_qy) element_shell_normal_force str array shape (n_states, n_shells_non_rigid, nx_ny_nxy) element_shell_thickness str array shape (n_states, n_shells_non_rigid) element_shell_unknown_variables str array shape (n_states, n_shells_non_rigid, 2) element_shell_internal_energy str array shape (n_states, n_shells_non_rigid) element_shell_strain str array shape (n_states, n_shells_non_rigid, upper_lower, xx_yy_zz_xy_yz_xz) element_shell_is_alive str array shape (n_states, n_shells_non_rigid) element_shell_node8_extra_node_indexes str array shape (n_shells, 4) element_shell_node8_element_index str array shape: (n_shells) element_shell_plastic_strain_tensor str array shape(n_states, n_shells_non_rigid, n_layers, 6) element_shell_thermal_strain_tensor str array shape(n_states, n_shells_non_rigid, 6) part_material_type str array shape: (n_parts) part_ids str array shape: (n_parts) part_ids_unordered str array shape: (n_parts) part_ids_cross_references str array shape: (n_parts) part_titles str array shape: (n_parts) part_titles_ids str array shape: (n_parts) part_internal_energy str array shape: (n_states, n_parts) part_kinetic_energy str array shape: (n_states, n_parts) part_velocity str array shape: (n_states, n_parts, x_y_z) part_mass str array shape: (n_states, n_parts) part_hourglass_energy str array shape: (n_states, n_parts) sph_node_indexes str array shape: (n_sph_nodes) sph_node_material_index str array shape: (n_sph_nodes) sph_is_alive str array shape: (n_states, n_sph_particles) sph_radius str array shape: (n_states, n_sph_particles) sph_pressure str array shape: (n_states, n_sph_particles) sph_stress str array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz) sph_effective_plastic_strain str array shape: (n_states, n_sph_particles) sph_density str array shape: (n_states, n_sph_particles) sph_internal_energy str array shape: (n_states, n_sph_particles) sph_n_neighbors str array shape: (n_states, n_sph_particles) sph_strain str array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz) sph_strainrate str array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz) sph_mass str array shape: (n_states, n_sph_particles) sph_deletion str array shape: (n_states, n_sph_particles) sph_history_vars str array shape: (n_states, n_sph_particles, n_sph_history_vars) airbag_variable_names str array shape: (n_variables) airbag_variable_types str array shape: (n_variables) airbags_first_particle_id str array shape: (n_airbags) airbags_n_particles str array shape: (n_airbags) airbags_ids str array shape: (n_airbags) airbags_n_gas_mixtures str array shape: (n_airbags) airbags_n_chambers str array shape: (n_airbags) airbag_n_active_particles str array shape: (n_states, n_airbags) airbag_bag_volume str array shape: (n_states, n_airbags) airbag_particle_gas_id str array shape: (n_states, n_airbag_particles) airbag_particle_chamber_id str array shape: (n_states, n_airbag_particles) airbag_particle_leakage str array shape: (n_states, n_airbag_particles) airbag_particle_mass str array shape: (n_states, n_airbag_particles) airbag_particle_radius str array shape: (n_states, n_airbag_particles) airbag_particle_spin_energy str array shape: (n_states, n_airbag_particles) airbag_particle_translation_energy str array shape: (n_states, n_airbag_particles) airbag_particle_nearest_segment_distance str array shape: (n_states, n_airbag_particles) airbag_particle_position str array shape: (n_states, n_airbag_particles, x_y_z) airbag_particle_velocity str array shape: (n_states, n_airbag_particles, x_y_z) rigid_road_node_ids str array shape: (rigid_road_n_nodes) rigid_road_node_coordinates str array shape: (rigid_road_n_nodes, x_y_z) rigid_road_ids str array shape: (n_roads) rigid_road_n_segments str array shape: (n_roads) rigid_road_segment_node_ids str list!: (n_roads, 4*n_road_segments) rigid_road_segment_road_id str list!: (n_roads, n_road_segments) rigid_road_displacement str array shape: (n_states, n_roads, x_y_z) rigid_road_velocity str array shape: (n_states, n_roads, x_y_z) rigid_body_part_indexes str array shape: (n_rigid_bodies) rigid_body_n_nodes str array shape: (n_rigid_bodies) rigid_body_node_indexes_list str list!: (n_rigid_bodies, n_rigid_body_nodes (differs)) rigid_body_n_active_nodes str array shape: (n_rigid_bodies) rigid_body_active_node_indexes_list str list!: (n_rigid_bodies, n_rigid_body_nodes (differs)) rigid_body_coordinates str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_rotation_matrix str array shape: (n_states, n_rigid_bodies, 9) rigid_body_velocity str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_rot_velocity str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_acceleration str array shape: (n_states, n_rigid_bodies, x_y_z) rigid_body_rot_acceleration str array shape: (n_states, n_rigid_bodies, x_y_z) contact_title_ids str array shape: (n_contacts) contact_titles str array shape: (n_contacts) ale_material_ids str array shape: (n_ale_material) rigid_wall_force str array shape: (n_states, n_rigid_walls) rigid_wall_position str array shape: (n_states, n_rigid_walls, x_y_z)","title":"ArrayType"},{"location":"dyna/ArrayType/#lasso.dyna.array_type.ArrayType.get_state_array_names","text":"Get the names of all state arrays","title":"get_state_array_names()"},{"location":"dyna/ArrayType/#lasso.dyna.array_type.ArrayType.get_state_array_names--returns","text":"state_array_names: List[str] list of state array names","title":"Returns:"},{"location":"dyna/Binout/","text":"Binout There is a youtube tutorial available for this class: This class is meant to read binouts from LS-Dyna Parameters: Name Type Description Default filepath str Path to the binout to read. May contain * (glob) for selecting multiple files. required Attributes: Name Type Description filelist List [ str ] List of files which are opened. lsda: Lsda The underlying LS-Dyna binout reader instance from code from LSTC. lsda_root: Symbol Root lsda symbol which is like a root directory to traverse the content of the binout file. Notes This class is only a utility wrapper for Lsda from LSTC. Examples: >>> binout = Binout(\"path/to/binout\") __init__ ( filepath ) Constructor for a binout Parameters: Name Type Description Default filepath str path to the binout or pattern required Notes The class loads the file given in the filepath. By giving a search pattern such as: \"binout*\", all files with that pattern will be loaded. Examples: >>> # reads a single binout >>> binout = Binout(\"path/to/binout0000\") >>> binout.filelist ['path/to/binout0000'] >>> # reads multiple files >>> binout = Binout(\"path/to/binout*\") >>> binout.filelist ['path/to/binout0000','path/to/binout0001'] as_df ( * args ) read data and convert to pandas dataframe if possible Parameters: Name Type Description Default *args internal path in the folder structure of the binout () Returns: Name Type Description df pandas . DataFrame data converted to pandas dataframe Raises: Type Description ValueError if the data cannot be converted to a pandas dataframe Examples: >>> from lasso.dyna import Binout >>> binout = Binout('path/to/binout') Read a time-dependent array. >>> binout.as_df('glstat', 'eroded_kinetic_energy') time 0.00000 0.000000 0.19971 0.000000 0.39942 0.000000 0.59976 0.000000 0.79947 0.000000 ... 119.19978 105.220786 119.39949 105.220786 119.59983 105.220786 119.79954 105.220786 119.99988 105.220786 Name: eroded_kinetic_energy, Length: 601, dtype: float64 Read a time and id-dependent array. >>> binout.as_df('secforc', 'x_force') 1 2 3 ... 33 34 time . 0.00063 2.168547e-16 2.275245e-15 -3.118639e-14 ... -5.126108e-13 4.592941e-16 0.20034 3.514243e-04 3.797908e-04 -1.701294e-03 ... 2.530416e-11 2.755493e-07 0.40005 3.052490e-03 3.242951e-02 -2.699926e-02 ... 6.755315e-06 -2.608923e-03 0.60039 -1.299816e-02 4.930999e-02 -1.632376e-02 ... 8.941705e-05 -2.203455e-02 0.80010 1.178485e-02 4.904512e-02 -9.740204e-03 ... 5.648263e-05 -6.999854e-02 ... ... ... ... ... ... ... 119.00007 9.737679e-01 -8.833702e+00 1.298964e+01 ... -9.977377e-02 7.883521e+00 119.20041 7.421170e-01 -8.849411e+00 1.253505e+01 ... -1.845916e-01 7.791409e+00 119.40012 9.946615e-01 -8.541475e+00 1.188757e+01 ... -3.662228e-02 7.675800e+00 119.60046 9.677638e-01 -8.566695e+00 1.130774e+01 ... 5.144208e-02 7.273052e+00 119.80017 1.035165e+00 -8.040828e+00 1.124044e+01 ... -1.213450e-02 7.188395e+00 read ( * path ) Read all data from Binout (top to low level) Parameters: Name Type Description Default path internal path in the folder structure of the binout () Returns: Name Type Description ret Union [ List [ str ], str , np . ndarray ] list of subdata within the folder or data itself (array or string) Notes This function is used to read any data from the binout. It has been used to make the access to the data more comfortable. The return type depends on the given path: - `binout.read()`: `List[str] names of directories (in binout) - `binout.read(dir)`: `List[str]` names of variables or subdirs - `binout.read(dir1, ..., variable)`: np.array data If you have multiple outputs with different ids (e.g. in nodout for multiple nodes) then don't forget to read the id array for identification or id-labels. Examples: >>> from lasso.dyna import Binout >>> binout = Binout(\"test/binout\") >>> # get top dirs >>> binout.read() ['swforc'] >>> binout.read(\"swforc\") ['title', 'failure', 'ids', 'failure_time', ...] >>> binout.read(\"swforc\",\"shear\").shape (321L, 26L) >>> binout.read(\"swforc\",\"ids\").shape (26L,) >>> binout.read(\"swforc\",\"ids\") array([52890, 52891, 52892, ...]) >>> # read a string value >>> binout.read(\"swforc\",\"date\") '11/05/2013' save_hdf5 ( filepath , compression = 'gzip' ) Save a binout as HDF5 Parameters: Name Type Description Default filepath path where the HDF5 shall be saved required compression compression technique (see h5py docs) 'gzip' Examples: >>> binout = Binout(\"path/to/binout\") >>> binout.save_hdf5(\"path/to/binout.h5\")","title":"Binout"},{"location":"dyna/Binout/#binout","text":"There is a youtube tutorial available for this class: This class is meant to read binouts from LS-Dyna Parameters: Name Type Description Default filepath str Path to the binout to read. May contain * (glob) for selecting multiple files. required Attributes: Name Type Description filelist List [ str ] List of files which are opened. lsda: Lsda The underlying LS-Dyna binout reader instance from code from LSTC. lsda_root: Symbol Root lsda symbol which is like a root directory to traverse the content of the binout file.","title":"Binout"},{"location":"dyna/Binout/#lasso.dyna.binout.Binout--notes","text":"This class is only a utility wrapper for Lsda from LSTC. Examples: >>> binout = Binout(\"path/to/binout\")","title":"Notes"},{"location":"dyna/Binout/#lasso.dyna.binout.Binout.__init__","text":"Constructor for a binout Parameters: Name Type Description Default filepath str path to the binout or pattern required","title":"__init__()"},{"location":"dyna/Binout/#lasso.dyna.binout.Binout.__init__--notes","text":"The class loads the file given in the filepath. By giving a search pattern such as: \"binout*\", all files with that pattern will be loaded. Examples: >>> # reads a single binout >>> binout = Binout(\"path/to/binout0000\") >>> binout.filelist ['path/to/binout0000'] >>> # reads multiple files >>> binout = Binout(\"path/to/binout*\") >>> binout.filelist ['path/to/binout0000','path/to/binout0001']","title":"Notes"},{"location":"dyna/Binout/#lasso.dyna.binout.Binout.as_df","text":"read data and convert to pandas dataframe if possible Parameters: Name Type Description Default *args internal path in the folder structure of the binout () Returns: Name Type Description df pandas . DataFrame data converted to pandas dataframe Raises: Type Description ValueError if the data cannot be converted to a pandas dataframe Examples: >>> from lasso.dyna import Binout >>> binout = Binout('path/to/binout') Read a time-dependent array. >>> binout.as_df('glstat', 'eroded_kinetic_energy') time 0.00000 0.000000 0.19971 0.000000 0.39942 0.000000 0.59976 0.000000 0.79947 0.000000 ... 119.19978 105.220786 119.39949 105.220786 119.59983 105.220786 119.79954 105.220786 119.99988 105.220786 Name: eroded_kinetic_energy, Length: 601, dtype: float64 Read a time and id-dependent array. >>> binout.as_df('secforc', 'x_force') 1 2 3 ... 33 34 time . 0.00063 2.168547e-16 2.275245e-15 -3.118639e-14 ... -5.126108e-13 4.592941e-16 0.20034 3.514243e-04 3.797908e-04 -1.701294e-03 ... 2.530416e-11 2.755493e-07 0.40005 3.052490e-03 3.242951e-02 -2.699926e-02 ... 6.755315e-06 -2.608923e-03 0.60039 -1.299816e-02 4.930999e-02 -1.632376e-02 ... 8.941705e-05 -2.203455e-02 0.80010 1.178485e-02 4.904512e-02 -9.740204e-03 ... 5.648263e-05 -6.999854e-02 ... ... ... ... ... ... ... 119.00007 9.737679e-01 -8.833702e+00 1.298964e+01 ... -9.977377e-02 7.883521e+00 119.20041 7.421170e-01 -8.849411e+00 1.253505e+01 ... -1.845916e-01 7.791409e+00 119.40012 9.946615e-01 -8.541475e+00 1.188757e+01 ... -3.662228e-02 7.675800e+00 119.60046 9.677638e-01 -8.566695e+00 1.130774e+01 ... 5.144208e-02 7.273052e+00 119.80017 1.035165e+00 -8.040828e+00 1.124044e+01 ... -1.213450e-02 7.188395e+00","title":"as_df()"},{"location":"dyna/Binout/#lasso.dyna.binout.Binout.read","text":"Read all data from Binout (top to low level) Parameters: Name Type Description Default path internal path in the folder structure of the binout () Returns: Name Type Description ret Union [ List [ str ], str , np . ndarray ] list of subdata within the folder or data itself (array or string)","title":"read()"},{"location":"dyna/Binout/#lasso.dyna.binout.Binout.read--notes","text":"This function is used to read any data from the binout. It has been used to make the access to the data more comfortable. The return type depends on the given path: - `binout.read()`: `List[str] names of directories (in binout) - `binout.read(dir)`: `List[str]` names of variables or subdirs - `binout.read(dir1, ..., variable)`: np.array data If you have multiple outputs with different ids (e.g. in nodout for multiple nodes) then don't forget to read the id array for identification or id-labels. Examples: >>> from lasso.dyna import Binout >>> binout = Binout(\"test/binout\") >>> # get top dirs >>> binout.read() ['swforc'] >>> binout.read(\"swforc\") ['title', 'failure', 'ids', 'failure_time', ...] >>> binout.read(\"swforc\",\"shear\").shape (321L, 26L) >>> binout.read(\"swforc\",\"ids\").shape (26L,) >>> binout.read(\"swforc\",\"ids\") array([52890, 52891, 52892, ...]) >>> # read a string value >>> binout.read(\"swforc\",\"date\") '11/05/2013'","title":"Notes"},{"location":"dyna/Binout/#lasso.dyna.binout.Binout.save_hdf5","text":"Save a binout as HDF5 Parameters: Name Type Description Default filepath path where the HDF5 shall be saved required compression compression technique (see h5py docs) 'gzip' Examples: >>> binout = Binout(\"path/to/binout\") >>> binout.save_hdf5(\"path/to/binout.h5\")","title":"save_hdf5()"},{"location":"dyna/D3plot/","text":"D3plot There is a youtube tutorial available for this class: Class used to read LS-Dyna d3plots arrays : dict writable property Dictionary holding all d3plot arrays Notes The corresponding keys of the dictionary can also be found in `lasso.dyna.ArrayTypes`, which helps with IDE integration and code safety. Examples: >>> d3plot = D3plot(\"some/path/to/d3plot\") >>> d3plot.arrays.keys() dict_keys(['irbtyp', 'node_coordinates', ...]) >>> # The following is good coding practice >>> import lasso.dyna.ArrayTypes.ArrayTypes as atypes >>> d3plot.arrays[atypes.node_displacmeent].shape header : D3plotHeader property Instance holding all d3plot header information Returns: Name Type Description header D3plotHeader header of the d3plot Notes The header contains a lot of information such as number of elements, etc. Examples: >>> d3plot = D3plot(\"some/path/to/d3plot\") >>> # number of shells >>> d3plot.header.n_shells 85624 n_timesteps : int property Number of timesteps loaded __init__ ( filepath = None , use_femzip = None , n_files_to_load_at_once = None , state_array_filter = None , state_filter = None , buffered_reading = False ) Constructor for a D3plot Parameters: Name Type Description Default filepath str path to a d3plot file None use_femzip Union [ bool , None] Not used anymore. None n_files_to_load_at_once Union [ int , None] DEPRECATED not used anymore, use buffered_reading None state_array_filter Union [ List [ str ], None] names of arrays which will be the only ones loaded from state data None state_filter Union [None, Set [ int ]] which states to load. Negative indexes count backwards. None buffered_reading bool whether to pull only a single state into memory during reading False Examples: >>> from lasso.dyna import D3plot, ArrayType >>> # open and read everything >>> d3plot = D3plot(\"path/to/d3plot\") >>> # only read node displacement >>> d3plot = D3plot(\"path/to/d3plot\", state_array_filter=[\"node_displacement\"]) >>> # or with nicer syntax >>> d3plot = D3plot(\"path/to/d3plot\", state_array_filter=[ArrayType.node_displacement]) >>> # only load first and last state >>> d3plot = D3plot(\"path/to/d3plot\", state_filter={0, -1}) >>> # our computer lacks RAM so lets extract a specific array >>> # but only keep one state at a time in memory >>> d3plot = D3plot(\"path/to/d3plot\", >>> state_array_filter=[ArrayType.node_displacement], >>> buffered_reading=True) Notes If dyna wrote multiple files for several states, only give the path to the first file. check_array_dims ( array_dimensions , dimension_name , dimension_size =- 1 ) This function checks if multiple arrays share an array dimensions with the same size. Parameters: Name Type Description Default array_dimensions Dict [ str , int ] Array name and expected number of dimensions as dict required dimension_name str Name of the array dimension for error messages required dimension_size int Optional expected size. If not set then all entries must equal the first value collected. -1 Raises: Type Description ValueError If dimensions do not match in any kind of way. compare ( d3plot2 , array_eps = None ) Compare two d3plots and print the info Parameters: Name Type Description Default d3plot2 second d3plot required array_eps Union [ float , None] tolerance for arrays None Returns: Name Type Description hdr_differences dict differences in the header array_differences dict difference between arrays as message Examples: Comparison of a femzipped file and an uncompressed file. Femzip is a lossy compression, thus precision is traded for memory. >>> d3plot1 = D3plot(\"path/to/d3plot\") >>> d3plot2 = D3plot(\"path/to/d3plot.fz\") >>> hdr_diff, array_diff = d3plot1.compare(d3plot2) >>> for arraytype, msg in array_diff.items(): >>> print(name, msg) node_coordinates \u0394max = 0.050048828125 node_displacement \u0394max = 0.050048828125 node_velocity \u0394max = 0.050048828125 node_acceleration \u0394max = 49998984.0 element_beam_axial_force \u0394max = 6.103515625e-05 element_shell_stress \u0394max = 0.0005035400390625 element_shell_thickness \u0394max = 9.999999717180685e-10 element_shell_unknown_variables \u0394max = 0.0005000010132789612 element_shell_internal_energy \u0394max = 188.41957092285156 enable_logger ( enable ) staticmethod Enable the logger for this class Parameters: Name Type Description Default enable bool whether to enable logging for this class required get_part_filter ( filter_type , part_ids , for_state_array = True ) Get a part filter for different entities Parameters: Name Type Description Default filter_type FilterType the array type to filter for (beam, shell, solid, tshell, node) required part_ids Iterable [ int ] part ids to filter out required for_state_array bool if the filter is meant for a state array. Makes a difference for shells if rigid bodies are in the model (mattyp == 20) True Returns: Name Type Description mask np . ndarray mask usable on arrays to filter results Examples: >>> from lasso.dyna import D3plot, ArrayType, FilterType >>> d3plot = D3plot(\"path/to/d3plot\") >>> part_ids = [13, 14] >>> mask = d3plot.get_part_filter(FilterType.shell) >>> shell_stress = d3plot.arrays[ArrayType.element_shell_stress] >>> shell_stress.shape (34, 7463, 3, 6) >>> # select only parts from part_ids >>> shell_stress_parts = shell_stress[:, mask] plot ( i_timestep = 0 , field = None , is_element_field = True , fringe_limits = None , export_filepath = '' ) Plot the d3plot geometry Parameters: Name Type Description Default i_timestep int timestep index to plot 0 field Union [ np . ndarray , None] Array containing a field value for every element or node None is_element_field bool if the specified field is for elements or nodes True fringe_limits Union [ Tuple [ float , float ], None] limits for the fringe bar. Set by default to min and max. None export_filepath str filepath to export the html to '' Notes Currently only shell elements can be plotted, since for solids the surface needs extraction. Examples: Plot deformation of last timestep. >>> d3plot = D3plot(\"path/to/d3plot\") >>> d3plot.plot(-1) >>> # get eff. plastic strain >>> pstrain = d3plot.arrays[ArrayType.element_shell_effective_plastic_strain] >>> pstrain.shape (1, 4696, 3) >>> # mean across all 3 integration points >>> pstrain = pstrain.mean(axis=2) >>> pstrain.shape (1, 4696) >>> # we only have 1 timestep here but let's take last one in general >>> last_timestep = -1 >>> d3plot.plot(0, field=pstrain[last_timestep]) >>> # we don't like the fringe, let's adjust >>> d3plot.plot(0, field=pstrain[last_timestep], fringe_limits=(0, 0.3)) write_d3plot ( filepath , block_size_bytes = 2048 , single_file = True ) Write a d3plot file again (pro version only) Parameters: Name Type Description Default filepath Union [ str , BinaryIO ] filepath of the new d3plot file or an opened file handle required block_size_bytes int D3plots are originally written in byte-blocks causing zero-padding at the end of files. This can be controlled by this parameter. Set to 0 for no padding. 2048 single_file bool whether to write all states into a single file True Examples: Modify an existing d3plot: >>> d3plot = D3plot(\"path/to/d3plot\") >>> hvars = d3plot.array[ArrayType.element_shell_history_vars] >>> hvars.shape (1, 4696, 3, 19) >>> new_history_var = np.random.random((1, 4696, 3, 1)) >>> new_hvars = np.concatenate([hvars, new_history_var], axis=3) >>> d3plot.array[ArrayType.element_shell_history_vars] = new_hvars >>> d3plot.write_d3plot(\"path/to/new/d3plot\") Write a new d3plot from scratch: >>> d3plot = D3plot() >>> d3plot.arrays[ArrayType.node_coordinates] = np.array([[0, 0, 0], ... [1, 0, 0], ... [0, 1, 0]]) >>> d3plot.arrays[ArrayType.element_shell_node_indexes] = np.array([[0, 2, 1, 1]]) >>> d3plot.arrays[ArrayType.element_shell_part_indexes] = np.array([0]) >>> d3plot.arrays[ArrayType.node_displacement] = np.array([[[0, 0, 0], ... [1, 0, 0], ... [0, 1, 0]]]) >>> d3plot.write_d3plot(\"yay.d3plot\") Notes This function is not available in the public version please contact LASSO directly in case of further interest.","title":"D3plot"},{"location":"dyna/D3plot/#d3plot","text":"There is a youtube tutorial available for this class: Class used to read LS-Dyna d3plots","title":"D3plot"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.arrays","text":"Dictionary holding all d3plot arrays","title":"arrays"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.arrays--notes","text":"The corresponding keys of the dictionary can also be found in `lasso.dyna.ArrayTypes`, which helps with IDE integration and code safety. Examples: >>> d3plot = D3plot(\"some/path/to/d3plot\") >>> d3plot.arrays.keys() dict_keys(['irbtyp', 'node_coordinates', ...]) >>> # The following is good coding practice >>> import lasso.dyna.ArrayTypes.ArrayTypes as atypes >>> d3plot.arrays[atypes.node_displacmeent].shape","title":"Notes"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.header","text":"Instance holding all d3plot header information Returns: Name Type Description header D3plotHeader header of the d3plot","title":"header"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.header--notes","text":"The header contains a lot of information such as number of elements, etc. Examples: >>> d3plot = D3plot(\"some/path/to/d3plot\") >>> # number of shells >>> d3plot.header.n_shells 85624","title":"Notes"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.n_timesteps","text":"Number of timesteps loaded","title":"n_timesteps"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.__init__","text":"Constructor for a D3plot Parameters: Name Type Description Default filepath str path to a d3plot file None use_femzip Union [ bool , None] Not used anymore. None n_files_to_load_at_once Union [ int , None] DEPRECATED not used anymore, use buffered_reading None state_array_filter Union [ List [ str ], None] names of arrays which will be the only ones loaded from state data None state_filter Union [None, Set [ int ]] which states to load. Negative indexes count backwards. None buffered_reading bool whether to pull only a single state into memory during reading False Examples: >>> from lasso.dyna import D3plot, ArrayType >>> # open and read everything >>> d3plot = D3plot(\"path/to/d3plot\") >>> # only read node displacement >>> d3plot = D3plot(\"path/to/d3plot\", state_array_filter=[\"node_displacement\"]) >>> # or with nicer syntax >>> d3plot = D3plot(\"path/to/d3plot\", state_array_filter=[ArrayType.node_displacement]) >>> # only load first and last state >>> d3plot = D3plot(\"path/to/d3plot\", state_filter={0, -1}) >>> # our computer lacks RAM so lets extract a specific array >>> # but only keep one state at a time in memory >>> d3plot = D3plot(\"path/to/d3plot\", >>> state_array_filter=[ArrayType.node_displacement], >>> buffered_reading=True)","title":"__init__()"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.__init__--notes","text":"If dyna wrote multiple files for several states, only give the path to the first file.","title":"Notes"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.check_array_dims","text":"This function checks if multiple arrays share an array dimensions with the same size. Parameters: Name Type Description Default array_dimensions Dict [ str , int ] Array name and expected number of dimensions as dict required dimension_name str Name of the array dimension for error messages required dimension_size int Optional expected size. If not set then all entries must equal the first value collected. -1 Raises: Type Description ValueError If dimensions do not match in any kind of way.","title":"check_array_dims()"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.compare","text":"Compare two d3plots and print the info Parameters: Name Type Description Default d3plot2 second d3plot required array_eps Union [ float , None] tolerance for arrays None Returns: Name Type Description hdr_differences dict differences in the header array_differences dict difference between arrays as message Examples: Comparison of a femzipped file and an uncompressed file. Femzip is a lossy compression, thus precision is traded for memory. >>> d3plot1 = D3plot(\"path/to/d3plot\") >>> d3plot2 = D3plot(\"path/to/d3plot.fz\") >>> hdr_diff, array_diff = d3plot1.compare(d3plot2) >>> for arraytype, msg in array_diff.items(): >>> print(name, msg) node_coordinates \u0394max = 0.050048828125 node_displacement \u0394max = 0.050048828125 node_velocity \u0394max = 0.050048828125 node_acceleration \u0394max = 49998984.0 element_beam_axial_force \u0394max = 6.103515625e-05 element_shell_stress \u0394max = 0.0005035400390625 element_shell_thickness \u0394max = 9.999999717180685e-10 element_shell_unknown_variables \u0394max = 0.0005000010132789612 element_shell_internal_energy \u0394max = 188.41957092285156","title":"compare()"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.enable_logger","text":"Enable the logger for this class Parameters: Name Type Description Default enable bool whether to enable logging for this class required","title":"enable_logger()"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.get_part_filter","text":"Get a part filter for different entities Parameters: Name Type Description Default filter_type FilterType the array type to filter for (beam, shell, solid, tshell, node) required part_ids Iterable [ int ] part ids to filter out required for_state_array bool if the filter is meant for a state array. Makes a difference for shells if rigid bodies are in the model (mattyp == 20) True Returns: Name Type Description mask np . ndarray mask usable on arrays to filter results Examples: >>> from lasso.dyna import D3plot, ArrayType, FilterType >>> d3plot = D3plot(\"path/to/d3plot\") >>> part_ids = [13, 14] >>> mask = d3plot.get_part_filter(FilterType.shell) >>> shell_stress = d3plot.arrays[ArrayType.element_shell_stress] >>> shell_stress.shape (34, 7463, 3, 6) >>> # select only parts from part_ids >>> shell_stress_parts = shell_stress[:, mask]","title":"get_part_filter()"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.plot","text":"Plot the d3plot geometry Parameters: Name Type Description Default i_timestep int timestep index to plot 0 field Union [ np . ndarray , None] Array containing a field value for every element or node None is_element_field bool if the specified field is for elements or nodes True fringe_limits Union [ Tuple [ float , float ], None] limits for the fringe bar. Set by default to min and max. None export_filepath str filepath to export the html to ''","title":"plot()"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.plot--notes","text":"Currently only shell elements can be plotted, since for solids the surface needs extraction. Examples: Plot deformation of last timestep. >>> d3plot = D3plot(\"path/to/d3plot\") >>> d3plot.plot(-1) >>> # get eff. plastic strain >>> pstrain = d3plot.arrays[ArrayType.element_shell_effective_plastic_strain] >>> pstrain.shape (1, 4696, 3) >>> # mean across all 3 integration points >>> pstrain = pstrain.mean(axis=2) >>> pstrain.shape (1, 4696) >>> # we only have 1 timestep here but let's take last one in general >>> last_timestep = -1 >>> d3plot.plot(0, field=pstrain[last_timestep]) >>> # we don't like the fringe, let's adjust >>> d3plot.plot(0, field=pstrain[last_timestep], fringe_limits=(0, 0.3))","title":"Notes"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.write_d3plot","text":"Write a d3plot file again (pro version only) Parameters: Name Type Description Default filepath Union [ str , BinaryIO ] filepath of the new d3plot file or an opened file handle required block_size_bytes int D3plots are originally written in byte-blocks causing zero-padding at the end of files. This can be controlled by this parameter. Set to 0 for no padding. 2048 single_file bool whether to write all states into a single file True Examples: Modify an existing d3plot: >>> d3plot = D3plot(\"path/to/d3plot\") >>> hvars = d3plot.array[ArrayType.element_shell_history_vars] >>> hvars.shape (1, 4696, 3, 19) >>> new_history_var = np.random.random((1, 4696, 3, 1)) >>> new_hvars = np.concatenate([hvars, new_history_var], axis=3) >>> d3plot.array[ArrayType.element_shell_history_vars] = new_hvars >>> d3plot.write_d3plot(\"path/to/new/d3plot\") Write a new d3plot from scratch: >>> d3plot = D3plot() >>> d3plot.arrays[ArrayType.node_coordinates] = np.array([[0, 0, 0], ... [1, 0, 0], ... [0, 1, 0]]) >>> d3plot.arrays[ArrayType.element_shell_node_indexes] = np.array([[0, 2, 1, 1]]) >>> d3plot.arrays[ArrayType.element_shell_part_indexes] = np.array([0]) >>> d3plot.arrays[ArrayType.node_displacement] = np.array([[[0, 0, 0], ... [1, 0, 0], ... [0, 1, 0]]]) >>> d3plot.write_d3plot(\"yay.d3plot\")","title":"write_d3plot()"},{"location":"dyna/D3plot/#lasso.dyna.d3plot.D3plot.write_d3plot--notes","text":"This function is not available in the public version please contact LASSO directly in case of further interest.","title":"Notes"},{"location":"dyna/D3plotHeader/","text":"D3plotHeader Class for reading only header information of a d3plot Attributes: Name Type Description filepath str Filepath of the processed file. itype np . dtype Integer type of d3plot. ftype np . dtype Floating point type of d3plot. wordsize int size of words in bytes (4 = single precision, 8 = double precision). raw_header Dict [ str , Any ] Raw header data as dict. external_numbers_dtype np . dtype Integer type of user ids. n_header_bytes int Number of bytes of header (at least 256 or more). title str Main title. title2 str Optional, secondary title. runtime int Runtime of the d3plot as timestamp. filetype D3plotFiletype Filetype such as d3plot or d3part. source_version int Source version of LS-Dyna. release_version str Release version of LS-Dyna. version float Version of LS-Dyna. extra_long_header bool If header was longer than default. n_dimensions int Number of dimensions, usually three. n_global_vars int How many global vars for each state. n_adapted_element_pairs int How many adapted element pairs. has_node_deletion_data bool If node deletion data is present. has_element_deletion_data bool If element deletion data is present. has_numbering_section bool If a user numbering section is present. has_material_type_section bool If material type section was written. n_numbering_section_words int Amount of words for numbering section. has_invariant_numbering bool If invariant numbering is used whatever that means. quadratic_elems_has_full_connectivity bool If quadric elements have full connectivity. quadratic_elems_has_data_at_integration_points bool If quadric elements data is at integration points. n_post_branches int Unused and unknown. n_types Tuple [ int , ...] Behind geometry these are integers indicating additional data such as part names. n_parts int Obviously number of parts. n_nodes int Number of nodes. has_node_temperatures bool If node temperature is present. has_node_temperature_layers bool If node temperatures are layered. has_node_heat_flux bool If node heat flux is present. has_node_mass_scaling bool Mass scaling is written. has_node_displacement bool Node displacement is written. has_node_velocity bool Node velocity is written. has_node_acceleration bool Node acceleration is written. has_node_temperature_gradient bool Node temperature gradient is written. has_node_residual_forces bool Node residual forces are written. has_node_residual_moments bool Node residual moments are written. has_node_max_contact_penetration_absolute bool Node contact penetration info exist. has_node_max_contact_penetration_relative bool Node relative contact penetration info was written. has_node_contact_energy_density int Node energy density was written. n_shell_tshell_layers int Number of layers for shells and thick shells. n_shell_tshell_history_vars int Number of history vars for shells and thick shells. has_shell_tshell_stress bool If shells and thick shells have stresses. has_shell_tshell_pstrain bool If shells and thick shells have eff. plastic strain. has_element_strain bool If all elements have strain. has_solid_shell_plastic_strain_tensor bool If solids have plastic strain tensor. has_solid_shell_thermal_strain_tensor bool If solids have thermal strain tensor. n_solids int Number of solids. n_solid_vars int Number of solid variables per element and state. n_solid_materials int Number of solid materials/parts. n_solid_history_vars int Number of solid history variables. n_solid_thermal_vars int Number of solid thermal variables. n_solids_20_node_hexas int Number of 20-node solid hexas. n_solids_27_node_hexas int Number of 27-node solid hexas. n_solids_21_node_pentas int Number of 21-node solid pentas. n_solids_15_node_tetras int Number of 15-node solid tetras. n_solids_20_node_tetras int Number of 20-node solid tetras. n_solids_40_node_pentas int Number of 40-node solid pentas. n_solids_64_node_hexas int Number of 64-node solid hexas. has_solid_2_extra_nodes bool If two extra nodes were written for solids. has_solid_stress bool If solid stress is present. has_solid_pstrain bool If solid eff. plastic strain is present. has_quadratic_solids bool If quadratic solids were used. has_cubic_solids bool If cubic solids were used. has_solid_internal_energy_density bool If solids have internal energy density. n_solid_layers int Number of solid layers. n_shells int Number of shells. n_shell_vars int Number of shell vars per element and state. n_shell_materials int Number of shell materials/parts. n_shells_8_nodes int Number of 8-node shells. has_shell_four_inplane_gauss_points bool If shells have four inplace gaussian integration points. has_shell_forces bool If shell forces are present. has_shell_extra_variables bool If extra shell variables such as forces are present. has_shell_internal_energy_density bool If shell internal energy density is present. n_thick_shells int Number of thick shell elements. n_thick_shell_vars int Number of thick shell element vars. n_thick_shell_materials int Number of thick shell materials/parts. has_thick_shell_energy_density bool If thick shells have energy density. thick_shell_energy_density_position int Nnused. n_beams int Number of beam elements. n_beam_vars int Number of state variables per beam element. n_beam_materials int Number of beam materials. n_beam_history_vars int Number of beam history variables. n_airbags int Number of airbags. has_airbag_n_chambers bool If airbags have number of chambers var. has_rigid_road_surface bool If rigid road surface was written. has_rigid_body_data bool If rigid body section was written. has_reduced_rigid_body_data bool If the reduced set of rigid body data was written. n_rigid_wall_vars int Number of rigid wall vars. n_sph_nodes int Number of sph nodes. n_sph_materials int Number of sph materials. n_ale_materials int Number of ale materials. n_ale_fluid_groups int Number of ale fluid groups. has_cfd_data bool If CFD-Data was written. has_multi_solver_data bool If multi-solver data was written. cfd_extra_data int If cfd data contains extra section. legacy_code_type int Originally a code indicator but unused nowadays. unused_numst int Unused and not explained in docs. __init__ ( filepath = None ) Create a D3plotHeader instance Parameters: Name Type Description Default filepath Union [ str , BinaryBuffer , None] path to a d3plot file or a buffer holding d3plot memory None Returns: Name Type Description header D3plotHeader d3plot header instance Examples: Create an empty header file >>> header = D3plotHeader() Now load only the header of a d3plot. >>> header.load_file(\"path/to/d3plot\") Or we can do the above together. >>> header = D3plotHeader(\"path/to/d3plot\") Notes This class does not load the entire memory of a d3plot but merely what is required to parse the header information. Thus, it is safe to use on big files. load_file ( file ) Load d3plot header from a d3plot file Parameters: Name Type Description Default file Union [ str , BinaryBuffer ] path to d3plot or BinaryBuffer holding memory of d3plot required Returns: Name Type Description self D3plotHeader returning self on success Notes This routine only loads the minimal amount of data that is neccessary. Thus it is safe to use on huge files. Examples: >>> header = D3plotHeader().load_file(\"path/to/d3plot\") >>> header.n_shells 19684 compare ( other ) Compare two headers and get the differences Parameters: Name Type Description Default other D3plotHeader other d3plot header instance required Returns: Name Type Description differences Dict [ str , Tuple [ Any , Any ]] The different entries of both headers in a dict","title":"D3plotHeader"},{"location":"dyna/D3plotHeader/#d3plotheader","text":"Class for reading only header information of a d3plot Attributes: Name Type Description filepath str Filepath of the processed file. itype np . dtype Integer type of d3plot. ftype np . dtype Floating point type of d3plot. wordsize int size of words in bytes (4 = single precision, 8 = double precision). raw_header Dict [ str , Any ] Raw header data as dict. external_numbers_dtype np . dtype Integer type of user ids. n_header_bytes int Number of bytes of header (at least 256 or more). title str Main title. title2 str Optional, secondary title. runtime int Runtime of the d3plot as timestamp. filetype D3plotFiletype Filetype such as d3plot or d3part. source_version int Source version of LS-Dyna. release_version str Release version of LS-Dyna. version float Version of LS-Dyna. extra_long_header bool If header was longer than default. n_dimensions int Number of dimensions, usually three. n_global_vars int How many global vars for each state. n_adapted_element_pairs int How many adapted element pairs. has_node_deletion_data bool If node deletion data is present. has_element_deletion_data bool If element deletion data is present. has_numbering_section bool If a user numbering section is present. has_material_type_section bool If material type section was written. n_numbering_section_words int Amount of words for numbering section. has_invariant_numbering bool If invariant numbering is used whatever that means. quadratic_elems_has_full_connectivity bool If quadric elements have full connectivity. quadratic_elems_has_data_at_integration_points bool If quadric elements data is at integration points. n_post_branches int Unused and unknown. n_types Tuple [ int , ...] Behind geometry these are integers indicating additional data such as part names. n_parts int Obviously number of parts. n_nodes int Number of nodes. has_node_temperatures bool If node temperature is present. has_node_temperature_layers bool If node temperatures are layered. has_node_heat_flux bool If node heat flux is present. has_node_mass_scaling bool Mass scaling is written. has_node_displacement bool Node displacement is written. has_node_velocity bool Node velocity is written. has_node_acceleration bool Node acceleration is written. has_node_temperature_gradient bool Node temperature gradient is written. has_node_residual_forces bool Node residual forces are written. has_node_residual_moments bool Node residual moments are written. has_node_max_contact_penetration_absolute bool Node contact penetration info exist. has_node_max_contact_penetration_relative bool Node relative contact penetration info was written. has_node_contact_energy_density int Node energy density was written. n_shell_tshell_layers int Number of layers for shells and thick shells. n_shell_tshell_history_vars int Number of history vars for shells and thick shells. has_shell_tshell_stress bool If shells and thick shells have stresses. has_shell_tshell_pstrain bool If shells and thick shells have eff. plastic strain. has_element_strain bool If all elements have strain. has_solid_shell_plastic_strain_tensor bool If solids have plastic strain tensor. has_solid_shell_thermal_strain_tensor bool If solids have thermal strain tensor. n_solids int Number of solids. n_solid_vars int Number of solid variables per element and state. n_solid_materials int Number of solid materials/parts. n_solid_history_vars int Number of solid history variables. n_solid_thermal_vars int Number of solid thermal variables. n_solids_20_node_hexas int Number of 20-node solid hexas. n_solids_27_node_hexas int Number of 27-node solid hexas. n_solids_21_node_pentas int Number of 21-node solid pentas. n_solids_15_node_tetras int Number of 15-node solid tetras. n_solids_20_node_tetras int Number of 20-node solid tetras. n_solids_40_node_pentas int Number of 40-node solid pentas. n_solids_64_node_hexas int Number of 64-node solid hexas. has_solid_2_extra_nodes bool If two extra nodes were written for solids. has_solid_stress bool If solid stress is present. has_solid_pstrain bool If solid eff. plastic strain is present. has_quadratic_solids bool If quadratic solids were used. has_cubic_solids bool If cubic solids were used. has_solid_internal_energy_density bool If solids have internal energy density. n_solid_layers int Number of solid layers. n_shells int Number of shells. n_shell_vars int Number of shell vars per element and state. n_shell_materials int Number of shell materials/parts. n_shells_8_nodes int Number of 8-node shells. has_shell_four_inplane_gauss_points bool If shells have four inplace gaussian integration points. has_shell_forces bool If shell forces are present. has_shell_extra_variables bool If extra shell variables such as forces are present. has_shell_internal_energy_density bool If shell internal energy density is present. n_thick_shells int Number of thick shell elements. n_thick_shell_vars int Number of thick shell element vars. n_thick_shell_materials int Number of thick shell materials/parts. has_thick_shell_energy_density bool If thick shells have energy density. thick_shell_energy_density_position int Nnused. n_beams int Number of beam elements. n_beam_vars int Number of state variables per beam element. n_beam_materials int Number of beam materials. n_beam_history_vars int Number of beam history variables. n_airbags int Number of airbags. has_airbag_n_chambers bool If airbags have number of chambers var. has_rigid_road_surface bool If rigid road surface was written. has_rigid_body_data bool If rigid body section was written. has_reduced_rigid_body_data bool If the reduced set of rigid body data was written. n_rigid_wall_vars int Number of rigid wall vars. n_sph_nodes int Number of sph nodes. n_sph_materials int Number of sph materials. n_ale_materials int Number of ale materials. n_ale_fluid_groups int Number of ale fluid groups. has_cfd_data bool If CFD-Data was written. has_multi_solver_data bool If multi-solver data was written. cfd_extra_data int If cfd data contains extra section. legacy_code_type int Originally a code indicator but unused nowadays. unused_numst int Unused and not explained in docs.","title":"D3plotHeader"},{"location":"dyna/D3plotHeader/#lasso.dyna.d3plot_header.D3plotHeader.__init__","text":"Create a D3plotHeader instance Parameters: Name Type Description Default filepath Union [ str , BinaryBuffer , None] path to a d3plot file or a buffer holding d3plot memory None Returns: Name Type Description header D3plotHeader d3plot header instance Examples: Create an empty header file >>> header = D3plotHeader() Now load only the header of a d3plot. >>> header.load_file(\"path/to/d3plot\") Or we can do the above together. >>> header = D3plotHeader(\"path/to/d3plot\")","title":"__init__()"},{"location":"dyna/D3plotHeader/#lasso.dyna.d3plot_header.D3plotHeader.__init__--notes","text":"This class does not load the entire memory of a d3plot but merely what is required to parse the header information. Thus, it is safe to use on big files.","title":"Notes"},{"location":"dyna/D3plotHeader/#lasso.dyna.d3plot_header.D3plotHeader.load_file","text":"Load d3plot header from a d3plot file Parameters: Name Type Description Default file Union [ str , BinaryBuffer ] path to d3plot or BinaryBuffer holding memory of d3plot required Returns: Name Type Description self D3plotHeader returning self on success","title":"load_file()"},{"location":"dyna/D3plotHeader/#lasso.dyna.d3plot_header.D3plotHeader.load_file--notes","text":"This routine only loads the minimal amount of data that is neccessary. Thus it is safe to use on huge files. Examples: >>> header = D3plotHeader().load_file(\"path/to/d3plot\") >>> header.n_shells 19684","title":"Notes"},{"location":"dyna/D3plotHeader/#lasso.dyna.d3plot_header.D3plotHeader.compare","text":"Compare two headers and get the differences Parameters: Name Type Description Default other D3plotHeader other d3plot header instance required Returns: Name Type Description differences Dict [ str , Tuple [ Any , Any ]] The different entries of both headers in a dict","title":"compare()"},{"location":"dyna/FilterType/","text":"FilterType Bases: Enum Used for filtering d3plot arrays Attributes: Name Type Description BEAM str Filters for beam elements SHELL str Filters for shell elements SOLID str Filters for solid elements TSHELL str Filters for thick shells elements PART str Filters for parts NODE str Filters for nodes Examples: >>> part_ids = [13, 14] >>> d3plot.get_part_filter(FilterType.SHELL, part_ids)","title":"FilterType"},{"location":"dyna/FilterType/#filtertype","text":"Bases: Enum Used for filtering d3plot arrays Attributes: Name Type Description BEAM str Filters for beam elements SHELL str Filters for shell elements SOLID str Filters for solid elements TSHELL str Filters for thick shells elements PART str Filters for parts NODE str Filters for nodes Examples: >>> part_ids = [13, 14] >>> d3plot.get_part_filter(FilterType.SHELL, part_ids)","title":"FilterType"},{"location":"dyna/performance_info/","text":"Performance Info D3plot Benchmark: The d3plot reader is blazingly fast by using several memory tricks. While postprocessors build up an internal datastructure during reading, this reader avoids this and simply references memory within the files. In consequence performance benchmarks show that the runtime of the code is solely dominated by pulling the files into memory. 2108 function calls (2099 primitive calls) in 43.017 seconds Ordered by: internal time ncalls tottime percall cumtime percall filename:lineno(function) 35 38.960 1.113 38.960 1.113 {method 'readinto' of '_io.BufferedReader' objects} 35 2.366 0.068 2.366 0.068 {built-in method io.open} 1 1.644 1.644 42.959 42.959 D3plot.py:2565(_read_state_bytebuffer) 71 0.043 0.001 0.043 0.001 {built-in method nt.stat} 2 0.002 0.001 0.057 0.028 BinaryBuffer.py:234(load) 70 0.000 0.000 0.001 0.000 ntpath.py:74(join) 142 0.000 0.000 0.000 0.000 ntpath.py:121(splitdrive) 1 0.000 0.000 0.019 0.019 D3plot.py:2738() 1 0.000 0.000 0.000 0.000 {built-in method nt.listdir} 36 0.000 0.000 0.000 0.000 {method 'match' of '_sre.SRE_Pattern' objects} 84 0.000 0.000 0.000 0.000 {built-in method numpy.core.multiarray.frombuffer} 1 0.000 0.000 42.959 42.959 D3plot.py:1304(_read_states) ... In the table above the largest, first three performance issues are all related to loading files into memory, accounting for 99.89% of runtime. The routines reading the data arrays (deserialization) have an almost constant runtime of a few milliseconds and are independent of the filesize. Efficiency Note that writing such efficient and simple code in C or any other language is much more challenging than in Python, thus surprisingly this implementation can be expected to outperform most native codes and tools. Indeed tests show that when reading all results of a d3plot in a postprocessor, this library is devastatingly fast. For reading single node-fields this library can be slower though (see Improvements below). Array-based API Building objects is useful (e.g. neighbor search) but requires additional runtime overhead. By the principle of \"don't pay for what you don't use\" it was decided to avoid object orientation, thus providing a majorly array-based API. This is perfectly suitable for data analysis as well as machine learning. Improvements A speedup 'could' be achieved by using memory-mapping, thus pulling only fractions of the files into the RAM which hold the required arrays. Postprocessors sometimes do this when reading certain fields, outperforming this library in such a case (e.g. node displacements). Since dyna litters most arrays across the entire file though, this method was not considered worth the effort and thus this library always reads everything. Binout The binout is used to store arbitrary binary data at a much higher frequency than the d3plot. As a result the data is dumped in an internal 'state folder'. Since different results may be dumped at different frequencies some state folders might contain more information than others. This inherently prevents efficient memory reading. The python version used here is slower than the original C-based version but one therefore gains better portability accross operating systems.","title":"Performance Info"},{"location":"dyna/performance_info/#performance-info","text":"","title":"Performance Info"},{"location":"dyna/performance_info/#d3plot","text":"Benchmark: The d3plot reader is blazingly fast by using several memory tricks. While postprocessors build up an internal datastructure during reading, this reader avoids this and simply references memory within the files. In consequence performance benchmarks show that the runtime of the code is solely dominated by pulling the files into memory. 2108 function calls (2099 primitive calls) in 43.017 seconds Ordered by: internal time ncalls tottime percall cumtime percall filename:lineno(function) 35 38.960 1.113 38.960 1.113 {method 'readinto' of '_io.BufferedReader' objects} 35 2.366 0.068 2.366 0.068 {built-in method io.open} 1 1.644 1.644 42.959 42.959 D3plot.py:2565(_read_state_bytebuffer) 71 0.043 0.001 0.043 0.001 {built-in method nt.stat} 2 0.002 0.001 0.057 0.028 BinaryBuffer.py:234(load) 70 0.000 0.000 0.001 0.000 ntpath.py:74(join) 142 0.000 0.000 0.000 0.000 ntpath.py:121(splitdrive) 1 0.000 0.000 0.019 0.019 D3plot.py:2738() 1 0.000 0.000 0.000 0.000 {built-in method nt.listdir} 36 0.000 0.000 0.000 0.000 {method 'match' of '_sre.SRE_Pattern' objects} 84 0.000 0.000 0.000 0.000 {built-in method numpy.core.multiarray.frombuffer} 1 0.000 0.000 42.959 42.959 D3plot.py:1304(_read_states) ... In the table above the largest, first three performance issues are all related to loading files into memory, accounting for 99.89% of runtime. The routines reading the data arrays (deserialization) have an almost constant runtime of a few milliseconds and are independent of the filesize.","title":"D3plot"},{"location":"dyna/performance_info/#efficiency","text":"Note that writing such efficient and simple code in C or any other language is much more challenging than in Python, thus surprisingly this implementation can be expected to outperform most native codes and tools. Indeed tests show that when reading all results of a d3plot in a postprocessor, this library is devastatingly fast. For reading single node-fields this library can be slower though (see Improvements below).","title":"Efficiency"},{"location":"dyna/performance_info/#array-based-api","text":"Building objects is useful (e.g. neighbor search) but requires additional runtime overhead. By the principle of \"don't pay for what you don't use\" it was decided to avoid object orientation, thus providing a majorly array-based API. This is perfectly suitable for data analysis as well as machine learning.","title":"Array-based API"},{"location":"dyna/performance_info/#improvements","text":"A speedup 'could' be achieved by using memory-mapping, thus pulling only fractions of the files into the RAM which hold the required arrays. Postprocessors sometimes do this when reading certain fields, outperforming this library in such a case (e.g. node displacements). Since dyna litters most arrays across the entire file though, this method was not considered worth the effort and thus this library always reads everything.","title":"Improvements"},{"location":"dyna/performance_info/#binout","text":"The binout is used to store arbitrary binary data at a much higher frequency than the d3plot. As a result the data is dumped in an internal 'state folder'. Since different results may be dumped at different frequencies some state folders might contain more information than others. This inherently prevents efficient memory reading. The python version used here is slower than the original C-based version but one therefore gains better portability accross operating systems.","title":"Binout"},{"location":"femzip/","text":"Femzip Documentation of the Femzip module. The D3plot reader uses this module to access femzip file data through the femzip API. It also allows to decompress files directly or use some additional utility functions such as a femzip file check if desired. Example >>> from lasso.femzip import FemzipAPI >>> from ctypes import * >>> filepath = \"path/to/d3plot.fz\" >>> # Initialize API >>> api = FemzipAPI () Here we check if we can use the extended FEMZIP-API. The extended FEMZIP-API allows reading selected arrays, but reqires a license with the feature \"FEMUNZIPLIB-DYNA\", which can be attained from SIDACT or femzip distributors. >>> api . has_femunziplib_license () True Check if a file is femzipped: >>> # check if file is femzipped >>> api . is_sidact_file ( filepath ) True Check the file and library version. This is usually not neccessary. >>> api . is_femunzip_version_ok ( filepath ) True It's efficient to get the memory demand for arrays beforehand and hand this memory info to other functions. It is often not mandatory though and a mere speedup. >>> # read memory demand info first >>> buffer_info = api . get_buffer_info ( filepath ) >>> # buffer info is a c struct, but we can print it >>> api . struct_to_dict ( buffer_info ) { 'n_timesteps' : 12 , 'timesteps' : < lasso . femzip . femzip_api . LP_c_float object at 0x0000028A8F6B21C0 > , 'size_geometry' : 537125 , 'size_state' : 1462902 , 'size_displacement' : 147716 , 'size_activity' : 47385 , 'size_post' : 1266356 , 'size_titles' : 1448 } >>> for i_timestep in range ( buffer_info . n_timesteps ): >>> print ( buffer_info . timesteps [ i_timestep ]) 0.0 0.9998100399971008 1.9998900890350342 2.9999701976776123 3.9997801780700684 Here we read the geometry buffer. The file is kept open so that we can read states afterwards. >>> mview = api . read_geometry ( filepath , buffer_info , close_file = False ) Femzip can handle only one file per process. In case of issues close the current file (shown later). We can check the API status as follows >>> print ( api . struct_to_dict ( api . get_femzip_status ())) { 'is_file_open' : 1 , 'is_geometry_read' : 1 , 'is_states_open' : 0 , 'i_timestep_state' : - 1 , 'i_timestep_activity' : - 1 } Get the memory of a single state. Must start at 0. Femzip does not allow reading arbitrary states inbetween. >>> mview = api . read_single_state ( i_timestep = 0 , buffer_info = buffer_info ) It is also possible to read the state memory directly into an already allocated buffer. >>> BufferType = c_float * ( buffer_info . size_state ) >>> mview = memoryview ( BufferType ()) >>> api . read_single_state ( 1 , buffer_info = buffer_info , state_buffer = mview ) Let's close the file manually. This ensures that femzip resets its internal state. >>> api . close_current_file ()","title":"Overview"},{"location":"femzip/#femzip","text":"Documentation of the Femzip module. The D3plot reader uses this module to access femzip file data through the femzip API. It also allows to decompress files directly or use some additional utility functions such as a femzip file check if desired.","title":"Femzip"},{"location":"femzip/#example","text":">>> from lasso.femzip import FemzipAPI >>> from ctypes import * >>> filepath = \"path/to/d3plot.fz\" >>> # Initialize API >>> api = FemzipAPI () Here we check if we can use the extended FEMZIP-API. The extended FEMZIP-API allows reading selected arrays, but reqires a license with the feature \"FEMUNZIPLIB-DYNA\", which can be attained from SIDACT or femzip distributors. >>> api . has_femunziplib_license () True Check if a file is femzipped: >>> # check if file is femzipped >>> api . is_sidact_file ( filepath ) True Check the file and library version. This is usually not neccessary. >>> api . is_femunzip_version_ok ( filepath ) True It's efficient to get the memory demand for arrays beforehand and hand this memory info to other functions. It is often not mandatory though and a mere speedup. >>> # read memory demand info first >>> buffer_info = api . get_buffer_info ( filepath ) >>> # buffer info is a c struct, but we can print it >>> api . struct_to_dict ( buffer_info ) { 'n_timesteps' : 12 , 'timesteps' : < lasso . femzip . femzip_api . LP_c_float object at 0x0000028A8F6B21C0 > , 'size_geometry' : 537125 , 'size_state' : 1462902 , 'size_displacement' : 147716 , 'size_activity' : 47385 , 'size_post' : 1266356 , 'size_titles' : 1448 } >>> for i_timestep in range ( buffer_info . n_timesteps ): >>> print ( buffer_info . timesteps [ i_timestep ]) 0.0 0.9998100399971008 1.9998900890350342 2.9999701976776123 3.9997801780700684 Here we read the geometry buffer. The file is kept open so that we can read states afterwards. >>> mview = api . read_geometry ( filepath , buffer_info , close_file = False ) Femzip can handle only one file per process. In case of issues close the current file (shown later). We can check the API status as follows >>> print ( api . struct_to_dict ( api . get_femzip_status ())) { 'is_file_open' : 1 , 'is_geometry_read' : 1 , 'is_states_open' : 0 , 'i_timestep_state' : - 1 , 'i_timestep_activity' : - 1 } Get the memory of a single state. Must start at 0. Femzip does not allow reading arbitrary states inbetween. >>> mview = api . read_single_state ( i_timestep = 0 , buffer_info = buffer_info ) It is also possible to read the state memory directly into an already allocated buffer. >>> BufferType = c_float * ( buffer_info . size_state ) >>> mview = memoryview ( BufferType ()) >>> api . read_single_state ( 1 , buffer_info = buffer_info , state_buffer = mview ) Let's close the file manually. This ensures that femzip resets its internal state. >>> api . close_current_file ()","title":"Example"},{"location":"femzip/FemzipAPI/","text":"FemzipAPI FemzipAPI contains wrapper functions around the femzip library. api : CDLL property Returns the loaded, shared object library of the native interface Returns: Name Type Description shared_object_lib CDLL Loaded shared object library. close_current_file () Closes the current file handle(use not recommended) Notes Closes a currently opened file by the API. There is no arg because femzip can process only one file at a time. This can also be used in case of bugs. Examples: >>> api.close_current_file() copy_struct ( src , dest ) staticmethod Copies all fields from src struct to dest Parameters: Name Type Description Default src Structure src struct required src Structure destination struct required Examples: >>> err1 = FemzipError() >>> err1.ier = -1 >>> err1.msg = b\"Oops\" >>> err2 = FemzipError() >>> api.copy_struct(err1, err2) >>> err2.ier -1 >>> err2.msg b'Oops' get_buffer_info ( filepath ) Get the dimensions of the buffers for femzip Parameters: Name Type Description Default filepath str path to femzip file required Returns: Name Type Description buffer_info FemzipBufferInfo c struct with infos about the memory required by femzip Examples: >>> # read memory demand info first >>> buffer_info = api.get_buffer_info(filepath) >>> # buffer info is a c struct, but we can print it >>> api.struct_to_dict(buffer_info) {'n_timesteps': 12, 'timesteps': , 'size_geometry': 537125, 'size_state': 1462902, 'size_displacement': 147716, 'size_activity': 47385, 'size_post': 1266356, 'size_titles': 1448} >>> for i_timestep in range(buffer_info.n_timesteps): >>> print(buffer_info.timesteps[i_timestep]) 0.0 0.9998100399971008 1.9998900890350342 2.9999701976776123 3.9997801780700684 get_femzip_status () Check the status of the femzip api Returns: Name Type Description femzip_status FemzipAPIStatus c struct with info about femzip API Notes This reports whether a file is currently opened and how far it was processed. This internal state is used to avoid internal conflicts and crashes, thus is useful for debugging. Examples: >>> print(api.struct_to_dict(api.get_femzip_status())) {'is_file_open': 0, 'is_geometry_read': 0, 'is_states_open': 0, 'i_timestep_state': -1, 'i_timestep_activity': -1} get_file_metadata ( filepath ) Get infos about the femzip variables in the file Parameters: Name Type Description Default filepath str path to femzip file required Returns: Name Type Description file_metadata FemzipFileMetadata c struct with infos about the femzip file Notes This is for direct interaction with the C-API, thus should not be used by users. Examples: >>> file_metadata = api.get_file_metadata(\"path/to/d3plot.fz\") >>> # print general internals >>> api.struct_to_dict(file_metadata) {'version_zip': 605.0, 'activity_flag': 1, 'number_of_variables': 535, ...} >>> # We can iterate the variable names contained in the file >>> print( [file_metadata.variable_infos[i_var].name.decode(\"utf8\").strip() for i_var in range(file_metadata.number_of_variables)] ) ['global', 'Parts: Energies and others', 'coordinates', 'velocities', ...] get_part_titles ( filepath , buffer_info = None ) Get the part title section Parameters: Name Type Description Default filepath str path to femzip file required buffer_info Union [None, FemzipBufferInfo ] buffer info if previously fetched None Returns: Name Type Description mview memoryview memory of the part title section has_femunziplib_license () Checks whether the extended libraries are available Returns: Name Type Description has_license bool Examples: >>> api.has_femunziplib_license() False is_femunzip_version_ok ( filepath ) Checks if the femunzip version can be handled Parameters: Name Type Description Default filepath str path to the femzpi file required Returns: Name Type Description version_ok bool Examples: >>> api.is_femunzip_version_ok(\"path/to/d3plot.fz\") True is_sidact_file ( filepath ) Tests if a filepath points at a sidact file Parameters: Name Type Description Default filepath str required Returns: Name Type Description is_sidact_file bool Examples: >>> api.is_sidact_file(\"path/to/d3plot.fz\") True >>> api.is_sidact_file(\"path/to/d3plot\") False >>> api.is_sidact_file(\"path/to/non/existing/file\") False load_dynamic_library ( path ) staticmethod Load a library and check for correct execution Parameters: Name Type Description Default path str path to the library required Returns: Name Type Description library CDLL loaded library read_geometry ( filepath , buffer_info = None , close_file = True ) Read the geometry buffer from femzip Parameters: Name Type Description Default filepath str path to femzpi file required buffer_info Union [ FemzipBufferInfo , None] struct with info regarding required memory for femzip None close_file bool it is useful to leave the file open if states are processed right afterwards True Returns: Name Type Description buffer memoryview memoryview of buffer Notes If the file isn't closed appropriately bugs and crashes might occur. Examples: >>> mview = api.read_geometry(filepath, buffer_info) read_single_state ( i_timestep , buffer_info , state_buffer = None ) Read a single state Parameters: Name Type Description Default i_timestep int timestep to be read required buffer_info FemzipBufferInfo infos about buffer sizes required state_buffer Union [None, memoryview ] buffer in which the states are stored None Notes It is unclear to us why the state buffer needs to be given in order to terminate state reading. Examples: >>> # get info about required memory >>> buffer_info = api.get_buffer_info(filepath) >>> # first read geometry and leave file open >>> mview_geom = api.read_geometry(filepath, buffer_info, False) >>> # now read a state >>> mview_state = api.read_single_state(0, buffer_info=buffer_info) >>> # close file >>> api.close_current_file() read_state_deletion_info ( buffer_info , state_filter = None ) Get information which elements are alive Parameters: Name Type Description Default buffer_info FemzipBufferInfo infos about buffer sizes required state_filter Union [ Set [ int ], None] usable to read only specific states None Notes The `buffer` must have the size of at least `buffer_info.size_activity`. Examples: >>> # get info about required memory >>> buffer_info = api.get_buffer_info(filepath) >>> # first read geometry and leave file open! >>> mview_geom = api.read_geometry(filepath, buffer_info, False) >>> # now read deletion info >>> array_deletion = api.read_state_activity(buffer_info) >>> # close file >>> api.close_current_file() read_states ( filepath , buffer_info = None , state_filter = None ) Reads all femzip state information Parameters: Name Type Description Default filepath str path to femzip file required buffer_info Union [ FemzipBufferInfo , None] struct with info regarding required memory for femzip None state_filter Union [ Set [ int ], None] usable to load only specific states None Returns: Name Type Description buffer memoryview buffer containing all state data Examples: >>> buffer_info = api.get_buffer_info(\"path/to/d3plot.fz\") >>> array_states = api.read_states(\"path/to/d3plot.fz\", buffer_info) read_variables ( file_metadata , n_parts , n_rigid_walls , n_rigid_wall_vars , n_airbag_particles , n_airbags , state_filter = None ) Read specific variables from Femzip Parameters: Name Type Description Default file_metadata FemzipFileMetadata metadata of file including which variables to read required n_parts int number of parts in the file required n_rigid_walls int number of rigid walls required n_rigid_wall_vars int number of rigid wall variables required n_airbag_particles int number of airbag particles in the file required n_airbags int required state_filter Union [ Set [ int ], None] used to read specific arrays None Returns: Name Type Description arrays dict dictionary with d3plot arrays Notes Uses extended femzip library and requires a license for 'FEMUNZIPLIB_DYNA'. Please contact sidact if required. struct_to_dict ( struct ) staticmethod Converts a ctypes struct into a dict Parameters: Name Type Description Default struct Structure required Returns: Name Type Description fields Dict [ str , Any ] struct as dict Examples: >>> api.struct_to_dict(api.get_femzip_status()) {'is_file_open': 1, 'is_geometry_read': 1, 'is_states_open': 0, 'i_timestep_state': -1, 'i_timestep_activity': -1}","title":"FemzipAPI"},{"location":"femzip/FemzipAPI/#femzipapi","text":"FemzipAPI contains wrapper functions around the femzip library.","title":"FemzipAPI"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.api","text":"Returns the loaded, shared object library of the native interface Returns: Name Type Description shared_object_lib CDLL Loaded shared object library.","title":"api"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.close_current_file","text":"Closes the current file handle(use not recommended)","title":"close_current_file()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.close_current_file--notes","text":"Closes a currently opened file by the API. There is no arg because femzip can process only one file at a time. This can also be used in case of bugs. Examples: >>> api.close_current_file()","title":"Notes"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.copy_struct","text":"Copies all fields from src struct to dest Parameters: Name Type Description Default src Structure src struct required src Structure destination struct required Examples: >>> err1 = FemzipError() >>> err1.ier = -1 >>> err1.msg = b\"Oops\" >>> err2 = FemzipError() >>> api.copy_struct(err1, err2) >>> err2.ier -1 >>> err2.msg b'Oops'","title":"copy_struct()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.get_buffer_info","text":"Get the dimensions of the buffers for femzip Parameters: Name Type Description Default filepath str path to femzip file required Returns: Name Type Description buffer_info FemzipBufferInfo c struct with infos about the memory required by femzip Examples: >>> # read memory demand info first >>> buffer_info = api.get_buffer_info(filepath) >>> # buffer info is a c struct, but we can print it >>> api.struct_to_dict(buffer_info) {'n_timesteps': 12, 'timesteps': , 'size_geometry': 537125, 'size_state': 1462902, 'size_displacement': 147716, 'size_activity': 47385, 'size_post': 1266356, 'size_titles': 1448} >>> for i_timestep in range(buffer_info.n_timesteps): >>> print(buffer_info.timesteps[i_timestep]) 0.0 0.9998100399971008 1.9998900890350342 2.9999701976776123 3.9997801780700684","title":"get_buffer_info()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.get_femzip_status","text":"Check the status of the femzip api Returns: Name Type Description femzip_status FemzipAPIStatus c struct with info about femzip API","title":"get_femzip_status()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.get_femzip_status--notes","text":"This reports whether a file is currently opened and how far it was processed. This internal state is used to avoid internal conflicts and crashes, thus is useful for debugging. Examples: >>> print(api.struct_to_dict(api.get_femzip_status())) {'is_file_open': 0, 'is_geometry_read': 0, 'is_states_open': 0, 'i_timestep_state': -1, 'i_timestep_activity': -1}","title":"Notes"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.get_file_metadata","text":"Get infos about the femzip variables in the file Parameters: Name Type Description Default filepath str path to femzip file required Returns: Name Type Description file_metadata FemzipFileMetadata c struct with infos about the femzip file","title":"get_file_metadata()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.get_file_metadata--notes","text":"This is for direct interaction with the C-API, thus should not be used by users. Examples: >>> file_metadata = api.get_file_metadata(\"path/to/d3plot.fz\") >>> # print general internals >>> api.struct_to_dict(file_metadata) {'version_zip': 605.0, 'activity_flag': 1, 'number_of_variables': 535, ...} >>> # We can iterate the variable names contained in the file >>> print( [file_metadata.variable_infos[i_var].name.decode(\"utf8\").strip() for i_var in range(file_metadata.number_of_variables)] ) ['global', 'Parts: Energies and others', 'coordinates', 'velocities', ...]","title":"Notes"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.get_part_titles","text":"Get the part title section Parameters: Name Type Description Default filepath str path to femzip file required buffer_info Union [None, FemzipBufferInfo ] buffer info if previously fetched None Returns: Name Type Description mview memoryview memory of the part title section","title":"get_part_titles()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.has_femunziplib_license","text":"Checks whether the extended libraries are available Returns: Name Type Description has_license bool Examples: >>> api.has_femunziplib_license() False","title":"has_femunziplib_license()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.is_femunzip_version_ok","text":"Checks if the femunzip version can be handled Parameters: Name Type Description Default filepath str path to the femzpi file required Returns: Name Type Description version_ok bool Examples: >>> api.is_femunzip_version_ok(\"path/to/d3plot.fz\") True","title":"is_femunzip_version_ok()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.is_sidact_file","text":"Tests if a filepath points at a sidact file Parameters: Name Type Description Default filepath str required Returns: Name Type Description is_sidact_file bool Examples: >>> api.is_sidact_file(\"path/to/d3plot.fz\") True >>> api.is_sidact_file(\"path/to/d3plot\") False >>> api.is_sidact_file(\"path/to/non/existing/file\") False","title":"is_sidact_file()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.load_dynamic_library","text":"Load a library and check for correct execution Parameters: Name Type Description Default path str path to the library required Returns: Name Type Description library CDLL loaded library","title":"load_dynamic_library()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_geometry","text":"Read the geometry buffer from femzip Parameters: Name Type Description Default filepath str path to femzpi file required buffer_info Union [ FemzipBufferInfo , None] struct with info regarding required memory for femzip None close_file bool it is useful to leave the file open if states are processed right afterwards True Returns: Name Type Description buffer memoryview memoryview of buffer","title":"read_geometry()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_geometry--notes","text":"If the file isn't closed appropriately bugs and crashes might occur. Examples: >>> mview = api.read_geometry(filepath, buffer_info)","title":"Notes"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_single_state","text":"Read a single state Parameters: Name Type Description Default i_timestep int timestep to be read required buffer_info FemzipBufferInfo infos about buffer sizes required state_buffer Union [None, memoryview ] buffer in which the states are stored None","title":"read_single_state()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_single_state--notes","text":"It is unclear to us why the state buffer needs to be given in order to terminate state reading. Examples: >>> # get info about required memory >>> buffer_info = api.get_buffer_info(filepath) >>> # first read geometry and leave file open >>> mview_geom = api.read_geometry(filepath, buffer_info, False) >>> # now read a state >>> mview_state = api.read_single_state(0, buffer_info=buffer_info) >>> # close file >>> api.close_current_file()","title":"Notes"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_state_deletion_info","text":"Get information which elements are alive Parameters: Name Type Description Default buffer_info FemzipBufferInfo infos about buffer sizes required state_filter Union [ Set [ int ], None] usable to read only specific states None","title":"read_state_deletion_info()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_state_deletion_info--notes","text":"The `buffer` must have the size of at least `buffer_info.size_activity`. Examples: >>> # get info about required memory >>> buffer_info = api.get_buffer_info(filepath) >>> # first read geometry and leave file open! >>> mview_geom = api.read_geometry(filepath, buffer_info, False) >>> # now read deletion info >>> array_deletion = api.read_state_activity(buffer_info) >>> # close file >>> api.close_current_file()","title":"Notes"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_states","text":"Reads all femzip state information Parameters: Name Type Description Default filepath str path to femzip file required buffer_info Union [ FemzipBufferInfo , None] struct with info regarding required memory for femzip None state_filter Union [ Set [ int ], None] usable to load only specific states None Returns: Name Type Description buffer memoryview buffer containing all state data Examples: >>> buffer_info = api.get_buffer_info(\"path/to/d3plot.fz\") >>> array_states = api.read_states(\"path/to/d3plot.fz\", buffer_info)","title":"read_states()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_variables","text":"Read specific variables from Femzip Parameters: Name Type Description Default file_metadata FemzipFileMetadata metadata of file including which variables to read required n_parts int number of parts in the file required n_rigid_walls int number of rigid walls required n_rigid_wall_vars int number of rigid wall variables required n_airbag_particles int number of airbag particles in the file required n_airbags int required state_filter Union [ Set [ int ], None] used to read specific arrays None Returns: Name Type Description arrays dict dictionary with d3plot arrays","title":"read_variables()"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.read_variables--notes","text":"Uses extended femzip library and requires a license for 'FEMUNZIPLIB_DYNA'. Please contact sidact if required.","title":"Notes"},{"location":"femzip/FemzipAPI/#lasso.femzip.femzip_api.FemzipAPI.struct_to_dict","text":"Converts a ctypes struct into a dict Parameters: Name Type Description Default struct Structure required Returns: Name Type Description fields Dict [ str , Any ] struct as dict Examples: >>> api.struct_to_dict(api.get_femzip_status()) {'is_file_open': 1, 'is_geometry_read': 1, 'is_states_open': 0, 'i_timestep_state': -1, 'i_timestep_activity': -1}","title":"struct_to_dict()"},{"location":"femzip/FemzipAPIStatus/","text":"FemzipAPIStatus Bases: Structure This struct summarizes the state of the femzip API library. The library has a shared, global state which is stored in static variables. The state of the gloval vars is tracked by this struct. Attributes: Name Type Description is_file_open c_int32 Whether a femzip file is opened and being processed. is_geometry_read c_int32 Whether the geometry was already read. is_states_open c_int32 Whether processing of the states was started. i_timestep_state c_int32 Counter of timestep processing. i_timestep_activity c_int32 Counter of activity data for timesteps.","title":"FemzipAPIStatus"},{"location":"femzip/FemzipAPIStatus/#femzipapistatus","text":"Bases: Structure This struct summarizes the state of the femzip API library. The library has a shared, global state which is stored in static variables. The state of the gloval vars is tracked by this struct. Attributes: Name Type Description is_file_open c_int32 Whether a femzip file is opened and being processed. is_geometry_read c_int32 Whether the geometry was already read. is_states_open c_int32 Whether processing of the states was started. i_timestep_state c_int32 Counter of timestep processing. i_timestep_activity c_int32 Counter of activity data for timesteps.","title":"FemzipAPIStatus"},{"location":"femzip/FemzipBufferInfo/","text":"FemzipBufferInfo Bases: Structure This struct describes necessary buffer sizes for reading the file Attributes: Name Type Description n_timesteps c_uint64 Number of timesteps timesteps POINTER ( c_float ) Time for each timestep size_geometry c_uint64 Size of the geometry buffer size_state c_uint64 Size of the state buffer size_displacement c_uint64 Size for displacement array size_activity c_uint64 Size for activity array (deletion stuff) size_post c_uint64 Size of the post region of which I currently don't know anymore what it was. size_titles c_uint64 Size of the titles region behind the geomtry.","title":"FemzipBufferInfo"},{"location":"femzip/FemzipBufferInfo/#femzipbufferinfo","text":"Bases: Structure This struct describes necessary buffer sizes for reading the file Attributes: Name Type Description n_timesteps c_uint64 Number of timesteps timesteps POINTER ( c_float ) Time for each timestep size_geometry c_uint64 Size of the geometry buffer size_state c_uint64 Size of the state buffer size_displacement c_uint64 Size for displacement array size_activity c_uint64 Size for activity array (deletion stuff) size_post c_uint64 Size of the post region of which I currently don't know anymore what it was. size_titles c_uint64 Size of the titles region behind the geomtry.","title":"FemzipBufferInfo"},{"location":"femzip/FemzipError/","text":"FemzipError Bases: Structure Struct representing femzip errors in c-code Attributes: Name Type Description ier c_int32 Error code msg c_char_p Error message","title":"FemzipError"},{"location":"femzip/FemzipError/#femziperror","text":"Bases: Structure Struct representing femzip errors in c-code Attributes: Name Type Description ier c_int32 Error code msg c_char_p Error message","title":"FemzipError"},{"location":"femzip/FemzipFileMetadata/","text":"FemzipFileMetadata Bases: Structure This struct contains metadata about femzip files. Attributes: Name Type Description version_zip c_float activity_flag c_int32 number_of_variables c_int32 number_of_nodes c_int32 number_of_solid_elements c_int32 number_of_thick_shell_elements c_int32 number_of_1D_elements c_int32 number_of_tool_elements c_int32 number_of_shell_elements c_int32 number_of_solid_element_neighbors c_int32 number_of_rbe_element_neighbors c_int32 number_of_bar_elements c_int32 number_of_beam_elements c_int32 number_of_plotel_elements c_int32 number_of_spring_elements c_int32 number_of_damper_elements c_int32 number_of_joint_elements c_int32 number_of_joint_element_neighbors c_int32 number_of_bar_element_neighbors c_int32 number_of_beamcross_elements c_int32 number_of_spotweld_elements c_int32 number_of_rbe_elements c_int32 number_of_hexa20_elements c_int32 number_of_rigid_shell_elements c_int32 number_of_timesteps c_int32 variable_infos POINTER ( VariableInfo )","title":"FemzipFileMetadata"},{"location":"femzip/FemzipFileMetadata/#femzipfilemetadata","text":"Bases: Structure This struct contains metadata about femzip files. Attributes: Name Type Description version_zip c_float activity_flag c_int32 number_of_variables c_int32 number_of_nodes c_int32 number_of_solid_elements c_int32 number_of_thick_shell_elements c_int32 number_of_1D_elements c_int32 number_of_tool_elements c_int32 number_of_shell_elements c_int32 number_of_solid_element_neighbors c_int32 number_of_rbe_element_neighbors c_int32 number_of_bar_elements c_int32 number_of_beam_elements c_int32 number_of_plotel_elements c_int32 number_of_spring_elements c_int32 number_of_damper_elements c_int32 number_of_joint_elements c_int32 number_of_joint_element_neighbors c_int32 number_of_bar_element_neighbors c_int32 number_of_beamcross_elements c_int32 number_of_spotweld_elements c_int32 number_of_rbe_elements c_int32 number_of_hexa20_elements c_int32 number_of_rigid_shell_elements c_int32 number_of_timesteps c_int32 variable_infos POINTER ( VariableInfo )","title":"FemzipFileMetadata"},{"location":"femzip/FemzipVariableCategory/","text":"FemzipVariableCategory Bases: enum . Enum Enum for femzip variable categories Attributes: Name Type Description GEOMETRY int -5 PART int -2 GLOBAL int -1 NODE int 0 SOLID int 1 THICK_SHELL int 2 BEAM int 3 TOOLS int 4 SHELL int 5 SPH int 6 FPM int 7 CFD int 8 CPM_FLOAT_VAR int 9 CPM_AIRBAG int 10 CPM_INT_VAR int 11 RADIOSS_STATE_DATA int 12 HEXA20 int 13 from_int ( number ) staticmethod Deserializes an integer into an enum Parameters: Name Type Description Default number int number to turn into an enum required Returns: Name Type Description enum_value FemzipVariableCategory","title":"FemzipVariableCategory"},{"location":"femzip/FemzipVariableCategory/#femzipvariablecategory","text":"Bases: enum . 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a/404.html b/404.html index 1b2181a..410550b 100644 --- a/404.html +++ b/404.html @@ -824,6 +824,36 @@ + + + + + + + +
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    Unrealeased (compare) (2022-12-23)

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    Code Refactoring

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    • clean up gitignore (afe9fbf)
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    Changelog

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    diff --git a/coverage/.gitignore b/coverage/.gitignore new file mode 100644 index 0000000..ccccf14 --- /dev/null +++ b/coverage/.gitignore @@ -0,0 +1,2 @@ +# Created by coverage.py +* diff --git a/coverage/coverage_html.js b/coverage/coverage_html.js new file mode 100644 index 0000000..1c4eb98 --- /dev/null +++ b/coverage/coverage_html.js @@ -0,0 +1,604 @@ +// Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 +// For details: https://github.com/nedbat/coveragepy/blob/master/NOTICE.txt + +// Coverage.py HTML report browser code. +/*jslint browser: true, sloppy: true, vars: true, plusplus: true, maxerr: 50, indent: 4 */ +/*global coverage: true, document, window, $ */ + +coverage = {}; + +// General helpers +function debounce(callback, wait) { + let timeoutId = null; + return function(...args) { + clearTimeout(timeoutId); + timeoutId = setTimeout(() => { + callback.apply(this, args); + }, wait); + }; +}; + +function checkVisible(element) { + const rect = element.getBoundingClientRect(); + const viewBottom = Math.max(document.documentElement.clientHeight, window.innerHeight); + const viewTop = 30; + return !(rect.bottom < viewTop || rect.top >= viewBottom); +} + +function on_click(sel, fn) { + const elt = document.querySelector(sel); + if (elt) { + elt.addEventListener("click", fn); + } +} + +// Helpers for table sorting +function getCellValue(row, column = 0) { + const cell = row.cells[column] + if (cell.childElementCount == 1) { + const child = cell.firstElementChild + if (child instanceof HTMLTimeElement && child.dateTime) { + return child.dateTime + } else if (child instanceof HTMLDataElement && child.value) { + return child.value + } + } + return cell.innerText || cell.textContent; +} + +function rowComparator(rowA, rowB, column = 0) { + let valueA = getCellValue(rowA, column); + let valueB = getCellValue(rowB, column); + if (!isNaN(valueA) && !isNaN(valueB)) { + return valueA - valueB + } + return valueA.localeCompare(valueB, undefined, {numeric: true}); +} + +function sortColumn(th) { + // Get the current sorting direction of the selected header, + // clear state on other headers and then set the new sorting direction + const currentSortOrder = th.getAttribute("aria-sort"); + [...th.parentElement.cells].forEach(header => header.setAttribute("aria-sort", "none")); + if (currentSortOrder === "none") { + th.setAttribute("aria-sort", th.dataset.defaultSortOrder || "ascending"); + } else { + th.setAttribute("aria-sort", currentSortOrder === "ascending" ? "descending" : "ascending"); + } + + const column = [...th.parentElement.cells].indexOf(th) + + // Sort all rows and afterwards append them in order to move them in the DOM + Array.from(th.closest("table").querySelectorAll("tbody tr")) + .sort((rowA, rowB) => rowComparator(rowA, rowB, column) * (th.getAttribute("aria-sort") === "ascending" ? 1 : -1)) + .forEach(tr => tr.parentElement.appendChild(tr) ); +} + +// Find all the elements with data-shortcut attribute, and use them to assign a shortcut key. +coverage.assign_shortkeys = function () { + document.querySelectorAll("[data-shortcut]").forEach(element => { + document.addEventListener("keypress", event => { + if (event.target.tagName.toLowerCase() === "input") { + return; // ignore keypress from search filter + } + if (event.key === element.dataset.shortcut) { + element.click(); + } + }); + }); +}; + +// Create the events for the filter box. +coverage.wire_up_filter = function () { + // Cache elements. + const table = document.querySelector("table.index"); + const table_body_rows = table.querySelectorAll("tbody tr"); + const no_rows = document.getElementById("no_rows"); + + // Observe filter keyevents. + document.getElementById("filter").addEventListener("input", debounce(event => { + // Keep running total of each metric, first index contains number of shown rows + const totals = new Array(table.rows[0].cells.length).fill(0); + // Accumulate the percentage as fraction + totals[totals.length - 1] = { "numer": 0, "denom": 0 }; + + // Hide / show elements. + table_body_rows.forEach(row => { + if (!row.cells[0].textContent.includes(event.target.value)) { + // hide + row.classList.add("hidden"); + return; + } + + // show + row.classList.remove("hidden"); + totals[0]++; + + for (let column = 1; column < totals.length; column++) { + // Accumulate dynamic totals + cell = row.cells[column] + if (column === totals.length - 1) { + // Last column contains percentage + const [numer, denom] = cell.dataset.ratio.split(" "); + totals[column]["numer"] += parseInt(numer, 10); + totals[column]["denom"] += parseInt(denom, 10); + } else { + totals[column] += parseInt(cell.textContent, 10); + } + } + }); + + // Show placeholder if no rows will be displayed. + if (!totals[0]) { + // Show placeholder, hide table. + no_rows.style.display = "block"; + table.style.display = "none"; + return; + } + + // Hide placeholder, show table. + no_rows.style.display = null; + table.style.display = null; + + const footer = table.tFoot.rows[0]; + // Calculate new dynamic sum values based on visible rows. + for (let column = 1; column < totals.length; column++) { + // Get footer cell element. + const cell = footer.cells[column]; + + // Set value into dynamic footer cell element. + if (column === totals.length - 1) { + // Percentage column uses the numerator and denominator, + // and adapts to the number of decimal places. + const match = /\.([0-9]+)/.exec(cell.textContent); + const places = match ? match[1].length : 0; + const { numer, denom } = totals[column]; + cell.dataset.ratio = `${numer} ${denom}`; + // Check denom to prevent NaN if filtered files contain no statements + cell.textContent = denom + ? `${(numer * 100 / denom).toFixed(places)}%` + : `${(100).toFixed(places)}%`; + } else { + cell.textContent = totals[column]; + } + } + })); + + // Trigger change event on setup, to force filter on page refresh + // (filter value may still be present). + document.getElementById("filter").dispatchEvent(new Event("input")); +}; + +coverage.INDEX_SORT_STORAGE = "COVERAGE_INDEX_SORT_2"; + +// Loaded on index.html +coverage.index_ready = function () { + coverage.assign_shortkeys(); + coverage.wire_up_filter(); + document.querySelectorAll("[data-sortable] th[aria-sort]").forEach( + th => th.addEventListener("click", e => sortColumn(e.target)) + ); + + // Look for a localStorage item containing previous sort settings: + const stored_list = localStorage.getItem(coverage.INDEX_SORT_STORAGE); + + if (stored_list) { + const {column, direction} = JSON.parse(stored_list); + const th = document.querySelector("[data-sortable]").tHead.rows[0].cells[column]; + th.setAttribute("aria-sort", direction === "ascending" ? "descending" : "ascending"); + th.click() + } + + // Watch for page unload events so we can save the final sort settings: + window.addEventListener("unload", function () { + const th = document.querySelector('[data-sortable] th[aria-sort="ascending"], [data-sortable] [aria-sort="descending"]'); + if (!th) { + return; + } + localStorage.setItem(coverage.INDEX_SORT_STORAGE, JSON.stringify({ + column: [...th.parentElement.cells].indexOf(th), + direction: th.getAttribute("aria-sort"), + })); + }); + + on_click(".button_prev_file", coverage.to_prev_file); + on_click(".button_next_file", coverage.to_next_file); + + on_click(".button_show_hide_help", coverage.show_hide_help); +}; + +// -- pyfile stuff -- + +coverage.LINE_FILTERS_STORAGE = "COVERAGE_LINE_FILTERS"; + +coverage.pyfile_ready = function () { + // If we're directed to a particular line number, highlight the line. + var frag = location.hash; + if (frag.length > 2 && frag[1] === 't') { + document.querySelector(frag).closest(".n").classList.add("highlight"); + coverage.set_sel(parseInt(frag.substr(2), 10)); + } else { + coverage.set_sel(0); + } + + on_click(".button_toggle_run", coverage.toggle_lines); + on_click(".button_toggle_mis", coverage.toggle_lines); + on_click(".button_toggle_exc", coverage.toggle_lines); + on_click(".button_toggle_par", coverage.toggle_lines); + + on_click(".button_next_chunk", coverage.to_next_chunk_nicely); + on_click(".button_prev_chunk", coverage.to_prev_chunk_nicely); + on_click(".button_top_of_page", coverage.to_top); + on_click(".button_first_chunk", coverage.to_first_chunk); + + on_click(".button_prev_file", coverage.to_prev_file); + on_click(".button_next_file", coverage.to_next_file); + on_click(".button_to_index", coverage.to_index); + + on_click(".button_show_hide_help", coverage.show_hide_help); + + coverage.filters = undefined; + try { + coverage.filters = localStorage.getItem(coverage.LINE_FILTERS_STORAGE); + } catch(err) {} + + if (coverage.filters) { + coverage.filters = JSON.parse(coverage.filters); + } + else { + coverage.filters = {run: false, exc: true, mis: true, par: true}; + } + + for (cls in coverage.filters) { + coverage.set_line_visibilty(cls, coverage.filters[cls]); + } + + coverage.assign_shortkeys(); + coverage.init_scroll_markers(); + coverage.wire_up_sticky_header(); + + // Rebuild scroll markers when the window height changes. + window.addEventListener("resize", coverage.build_scroll_markers); +}; + +coverage.toggle_lines = function (event) { + const btn = event.target.closest("button"); + const category = btn.value + const show = !btn.classList.contains("show_" + category); + coverage.set_line_visibilty(category, show); + coverage.build_scroll_markers(); + coverage.filters[category] = show; + try { + localStorage.setItem(coverage.LINE_FILTERS_STORAGE, JSON.stringify(coverage.filters)); + } catch(err) {} +}; + +coverage.set_line_visibilty = function (category, should_show) { + const cls = "show_" + category; + const btn = document.querySelector(".button_toggle_" + category); + if (btn) { + if (should_show) { + document.querySelectorAll("#source ." + category).forEach(e => e.classList.add(cls)); + btn.classList.add(cls); + } + else { + document.querySelectorAll("#source ." + category).forEach(e => e.classList.remove(cls)); + btn.classList.remove(cls); + } + } +}; + +// Return the nth line div. +coverage.line_elt = function (n) { + return document.getElementById("t" + n)?.closest("p"); +}; + +// Set the selection. b and e are line numbers. +coverage.set_sel = function (b, e) { + // The first line selected. + coverage.sel_begin = b; + // The next line not selected. + coverage.sel_end = (e === undefined) ? b+1 : e; +}; + +coverage.to_top = function () { + coverage.set_sel(0, 1); + coverage.scroll_window(0); +}; + +coverage.to_first_chunk = function () { + coverage.set_sel(0, 1); + coverage.to_next_chunk(); +}; + +coverage.to_prev_file = function () { + window.location = document.getElementById("prevFileLink").href; +} + +coverage.to_next_file = function () { + window.location = document.getElementById("nextFileLink").href; +} + +coverage.to_index = function () { + location.href = document.getElementById("indexLink").href; +} + +coverage.show_hide_help = function () { + const helpCheck = document.getElementById("help_panel_state") + helpCheck.checked = !helpCheck.checked; +} + +// Return a string indicating what kind of chunk this line belongs to, +// or null if not a chunk. +coverage.chunk_indicator = function (line_elt) { + const classes = line_elt?.className; + if (!classes) { + return null; + } + const match = classes.match(/\bshow_\w+\b/); + if (!match) { + return null; + } + return match[0]; +}; + +coverage.to_next_chunk = function () { + const c = coverage; + + // Find the start of the next colored chunk. + var probe = c.sel_end; + var chunk_indicator, probe_line; + while (true) { + probe_line = c.line_elt(probe); + if (!probe_line) { + return; + } + chunk_indicator = c.chunk_indicator(probe_line); + if (chunk_indicator) { + break; + } + probe++; + } + + // There's a next chunk, `probe` points to it. + var begin = probe; + + // Find the end of this chunk. + var next_indicator = chunk_indicator; + while (next_indicator === chunk_indicator) { + probe++; + probe_line = c.line_elt(probe); + next_indicator = c.chunk_indicator(probe_line); + } + c.set_sel(begin, probe); + c.show_selection(); +}; + +coverage.to_prev_chunk = function () { + const c = coverage; + + // Find the end of the prev colored chunk. + var probe = c.sel_begin-1; + var probe_line = c.line_elt(probe); + if (!probe_line) { + return; + } + var chunk_indicator = c.chunk_indicator(probe_line); + while (probe > 1 && !chunk_indicator) { + probe--; + probe_line = c.line_elt(probe); + if (!probe_line) { + return; + } + chunk_indicator = c.chunk_indicator(probe_line); + } + + // There's a prev chunk, `probe` points to its last line. + var end = probe+1; + + // Find the beginning of this chunk. + var prev_indicator = chunk_indicator; + while (prev_indicator === chunk_indicator) { + probe--; + if (probe <= 0) { + return; + } + probe_line = c.line_elt(probe); + prev_indicator = c.chunk_indicator(probe_line); + } + c.set_sel(probe+1, end); + c.show_selection(); +}; + +// Returns 0, 1, or 2: how many of the two ends of the selection are on +// the screen right now? +coverage.selection_ends_on_screen = function () { + if (coverage.sel_begin === 0) { + return 0; + } + + const begin = coverage.line_elt(coverage.sel_begin); + const end = coverage.line_elt(coverage.sel_end-1); + + return ( + (checkVisible(begin) ? 1 : 0) + + (checkVisible(end) ? 1 : 0) + ); +}; + +coverage.to_next_chunk_nicely = function () { + if (coverage.selection_ends_on_screen() === 0) { + // The selection is entirely off the screen: + // Set the top line on the screen as selection. + + // This will select the top-left of the viewport + // As this is most likely the span with the line number we take the parent + const line = document.elementFromPoint(0, 0).parentElement; + if (line.parentElement !== document.getElementById("source")) { + // The element is not a source line but the header or similar + coverage.select_line_or_chunk(1); + } else { + // We extract the line number from the id + coverage.select_line_or_chunk(parseInt(line.id.substring(1), 10)); + } + } + coverage.to_next_chunk(); +}; + +coverage.to_prev_chunk_nicely = function () { + if (coverage.selection_ends_on_screen() === 0) { + // The selection is entirely off the screen: + // Set the lowest line on the screen as selection. + + // This will select the bottom-left of the viewport + // As this is most likely the span with the line number we take the parent + const line = document.elementFromPoint(document.documentElement.clientHeight-1, 0).parentElement; + if (line.parentElement !== document.getElementById("source")) { + // The element is not a source line but the header or similar + coverage.select_line_or_chunk(coverage.lines_len); + } else { + // We extract the line number from the id + coverage.select_line_or_chunk(parseInt(line.id.substring(1), 10)); + } + } + coverage.to_prev_chunk(); +}; + +// Select line number lineno, or if it is in a colored chunk, select the +// entire chunk +coverage.select_line_or_chunk = function (lineno) { + var c = coverage; + var probe_line = c.line_elt(lineno); + if (!probe_line) { + return; + } + var the_indicator = c.chunk_indicator(probe_line); + if (the_indicator) { + // The line is in a highlighted chunk. + // Search backward for the first line. + var probe = lineno; + var indicator = the_indicator; + while (probe > 0 && indicator === the_indicator) { + probe--; + probe_line = c.line_elt(probe); + if (!probe_line) { + break; + } + indicator = c.chunk_indicator(probe_line); + } + var begin = probe + 1; + + // Search forward for the last line. + probe = lineno; + indicator = the_indicator; + while (indicator === the_indicator) { + probe++; + probe_line = c.line_elt(probe); + indicator = c.chunk_indicator(probe_line); + } + + coverage.set_sel(begin, probe); + } + else { + coverage.set_sel(lineno); + } +}; + +coverage.show_selection = function () { + // Highlight the lines in the chunk + document.querySelectorAll("#source .highlight").forEach(e => e.classList.remove("highlight")); + for (let probe = coverage.sel_begin; probe < coverage.sel_end; probe++) { + coverage.line_elt(probe).querySelector(".n").classList.add("highlight"); + } + + coverage.scroll_to_selection(); +}; + +coverage.scroll_to_selection = function () { + // Scroll the page if the chunk isn't fully visible. + if (coverage.selection_ends_on_screen() < 2) { + const element = coverage.line_elt(coverage.sel_begin); + coverage.scroll_window(element.offsetTop - 60); + } +}; + +coverage.scroll_window = function (to_pos) { + window.scroll({top: to_pos, behavior: "smooth"}); +}; + +coverage.init_scroll_markers = function () { + // Init some variables + coverage.lines_len = document.querySelectorAll('#source > p').length; + + // Build html + coverage.build_scroll_markers(); +}; + +coverage.build_scroll_markers = function () { + const temp_scroll_marker = document.getElementById('scroll_marker') + if (temp_scroll_marker) temp_scroll_marker.remove(); + // Don't build markers if the window has no scroll bar. + if (document.body.scrollHeight <= window.innerHeight) { + return; + } + + const marker_scale = window.innerHeight / document.body.scrollHeight; + const line_height = Math.min(Math.max(3, window.innerHeight / coverage.lines_len), 10); + + let previous_line = -99, last_mark, last_top; + + const scroll_marker = document.createElement("div"); + scroll_marker.id = "scroll_marker"; + document.getElementById('source').querySelectorAll( + 'p.show_run, p.show_mis, p.show_exc, p.show_exc, p.show_par' + ).forEach(element => { + const line_top = Math.floor(element.offsetTop * marker_scale); + const line_number = parseInt(element.querySelector(".n a").id.substr(1)); + + if (line_number === previous_line + 1) { + // If this solid missed block just make previous mark higher. + last_mark.style.height = `${line_top + line_height - last_top}px`; + } else { + // Add colored line in scroll_marker block. + last_mark = document.createElement("div"); + last_mark.id = `m${line_number}`; + last_mark.classList.add("marker"); + last_mark.style.height = `${line_height}px`; + last_mark.style.top = `${line_top}px`; + scroll_marker.append(last_mark); + last_top = line_top; + } + + previous_line = line_number; + }); + + // Append last to prevent layout calculation + document.body.append(scroll_marker); +}; + +coverage.wire_up_sticky_header = function () { + const header = document.querySelector('header'); + const header_bottom = ( + header.querySelector('.content h2').getBoundingClientRect().top - + header.getBoundingClientRect().top + ); + + function updateHeader() { + if (window.scrollY > header_bottom) { + header.classList.add('sticky'); + } else { + header.classList.remove('sticky'); + } + } + + window.addEventListener('scroll', updateHeader); + updateHeader(); +}; + +document.addEventListener("DOMContentLoaded", () => { + if (document.body.classList.contains("indexfile")) { + coverage.index_ready(); + } else { + coverage.pyfile_ready(); + } +}); diff --git a/coverage/covindex.html b/coverage/covindex.html new file mode 100644 index 0000000..da4e2b8 --- /dev/null +++ b/coverage/covindex.html @@ -0,0 +1,501 @@ + + + + + Coverage report + + + + + +
    +
    +

    Coverage report: + 50% +

    + +
    + +
    +

    + coverage.py v7.0.0, + created at 2022-12-23 14:19 +0100 +

    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    Modulestatementsmissingexcludedcoverage
    lasso/__init__.py000100%
    lasso/diffcrash/__init__.py2200%
    lasso/diffcrash/diffcrash_run.py58558500%
    lasso/diffcrash/run.py393900%
    lasso/dimred/__init__.py200100%
    lasso/dimred/dimred_run.py451158065%
    lasso/dimred/graph_laplacian.py474700%
    lasso/dimred/hashing.py21721700%
    lasso/dimred/hashing_sphere.py858500%
    lasso/dimred/run.py282800%
    lasso/dimred/sphere/__init__.py000100%
    lasso/dimred/sphere/algorithms.py676700%
    lasso/dimred/svd/__init__.py000100%
    lasso/dimred/svd/clustering_betas.py223115048%
    lasso/dimred/svd/html_str_eles.py400100%
    lasso/dimred/svd/keyword_types.py1600100%
    lasso/dimred/svd/plot_beta_clusters.py6522066%
    lasso/dimred/svd/pod_functions.py301097%
    lasso/dimred/svd/subsampling_methods.py12056053%
    lasso/dimred/svd/test_clustering_betas.py2700100%
    lasso/dimred/svd/test_plot_betas_clusters.py1800100%
    lasso/dimred/svd/test_pod_functions.py2400100%
    lasso/dimred/svd/test_subsampling_methods.py4600100%
    lasso/dimred/test_dimred_run.py731099%
    lasso/dimred/test_plot_creator.py523094%
    lasso/dyna/__init__.py600100%
    lasso/dyna/array_type.py15700100%
    lasso/dyna/binout.py11293017%
    lasso/dyna/d3plot.py39031941050%
    lasso/dyna/d3plot_header.py41547089%
    lasso/dyna/femzip_mapper.py22861073%
    lasso/dyna/filter_type.py800100%
    lasso/dyna/lsda_py3.py422361014%
    lasso/dyna/test_d3plot.py1987096%
    lasso/dyna/test_d3plot_header.py4200100%
    lasso/dyna/test_mapper.py1028092%
    lasso/femzip/__init__.py200100%
    lasso/femzip/femzip_api.py417269035%
    lasso/femzip/fz_config.py1136095%
    lasso/io/__init__.py000100%
    lasso/io/binary_buffer.py7810087%
    lasso/io/files.py3100100%
    lasso/io/test_binary_buffer.py4400100%
    lasso/io/test_files.py1400100%
    lasso/logging.py225077%
    lasso/math/__init__.py000100%
    lasso/math/sampling.py229059%
    lasso/math/stochastic.py900100%
    lasso/math/test_sampling.py600100%
    lasso/math/test_stochastic.py900100%
    lasso/plotting/__init__.py200100%
    lasso/plotting/plot_shell_mesh.py8068015%
    lasso/plotting/resources/__init__.py000100%
    lasso/utils/__init__.py000100%
    lasso/utils/console_coloring.py345085%
    lasso/utils/decorators.py282800%
    lasso/utils/language.py212100%
    lasso/utils/rich_progress_bars.py7845042%
    Total88244410050%
    +

    + No items found using the specified filter. +

    +
    + + + diff --git a/coverage/d_233c5ceebba6ed8d___init___py.html b/coverage/d_233c5ceebba6ed8d___init___py.html new file mode 100644 index 0000000..f148467 --- /dev/null +++ b/coverage/d_233c5ceebba6ed8d___init___py.html @@ -0,0 +1,104 @@ + + + + + Coverage for lasso/dyna/__init__.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/dyna/__init__.py: + 100% +

    + +

    + 6 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1from .d3plot import D3plot 

    +

    2from .binout import Binout 

    +

    3from .array_type import ArrayType 

    +

    4from .filter_type import FilterType 

    +

    5from .d3plot_header import D3plotHeader, D3plotFiletype 

    +

    6 

    +

    7__all__ = ["Binout", "D3plot", "ArrayType", "FilterType", "D3plotHeader", "D3plotFiletype"] 

    +
    + + + diff --git a/coverage/d_233c5ceebba6ed8d_array_type_py.html b/coverage/d_233c5ceebba6ed8d_array_type_py.html new file mode 100644 index 0000000..d4e4543 --- /dev/null +++ b/coverage/d_233c5ceebba6ed8d_array_type_py.html @@ -0,0 +1,702 @@ + + + + + Coverage for lasso/dyna/array_type.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/dyna/array_type.py: + 100% +

    + +

    + 157 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import typing 

    +

    2 

    +

    3 

    +

    4class ArrayType: 

    +

    5 """Specifies the names for specific arrays 

    +

    6 

    +

    7 Enums from this class shall be used as a preferred practice 

    +

    8 instead of the string array names to ensure compatibility. 

    +

    9 

    +

    10 Attributes 

    +

    11 ---------- 

    +

    12 global_timesteps: str 

    +

    13 array shape: (n_timesteps) 

    +

    14 global_kinetic_energy: str 

    +

    15 array shape: (n_timesteps) 

    +

    16 global_internal_energy: str 

    +

    17 array shape: (n_timesteps) 

    +

    18 global_total_energy: str 

    +

    19 array shape: (n_timesteps) 

    +

    20 global_velocity: str 

    +

    21 array shape: (n_timesteps) 

    +

    22 node_ids: str 

    +

    23 array shape: (n_nodes) 

    +

    24 node_coordinates: str 

    +

    25 array shape: (n_nodes, x_y_z) 

    +

    26 node_displacement: str 

    +

    27 array shape: (n_states, n_nodes, x_y_z) 

    +

    28 node_velocity: str 

    +

    29 array shape: (n_states, n_nodes, x_y_z) 

    +

    30 node_acceleration: str 

    +

    31 array shape: (n_states, n_nodes, x_y_z) 

    +

    32 node_is_alive: str 

    +

    33 array shape: (n_states, n_nodes) 

    +

    34 node_temperature: str 

    +

    35 array shape: (n_states, n_nodes) or (n_states, n_nodes, 3) 

    +

    36 node_heat_flux: str 

    +

    37 array shape: (n_states, n_nodes, 3) 

    +

    38 node_mass_scaling: str 

    +

    39 array shape: (n_states, n_nodes) 

    +

    40 node_temperature_gradient: str 

    +

    41 array shape: (n_states, n_nodes) 

    +

    42 node_residual_forces: str 

    +

    43 array shape: (n_states, n_nodes, fx_fy_fz) 

    +

    44 node_residual_moments: str 

    +

    45 array shape: (n_states, n_nodes, mx_my_mz) 

    +

    46 element_solid_node_indexes: str 

    +

    47 array shape: (n_solids, 8) 

    +

    48 element_solid_part_indexes: str 

    +

    49 array shape: (n_solids) 

    +

    50 element_solid_ids: str 

    +

    51 array shape: (n_solids) 

    +

    52 element_solid_thermal_data: str 

    +

    53 array shape: (n_states, n_solids, n_solids_thermal_vars) 

    +

    54 element_solid_stress: str 

    +

    55 array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) 

    +

    56 element_solid_effective_plastic_strain: str 

    +

    57 array shape: (n_states, n_solid_layers, n_solids) 

    +

    58 element_solid_history_variables: str 

    +

    59 array shape: (n_states, n_solids, n_solid_layers, n_solids_history_vars) 

    +

    60 element_solid_strain: str 

    +

    61 array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) 

    +

    62 element_solid_plastic_strain_tensor: str 

    +

    63 array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) 

    +

    64 element_solid_thermal_strain_tensor: str 

    +

    65 array shape: (n_states, n_solids, n_solid_layers, xx_yy_zz_xy_yz_xz) 

    +

    66 element_solid_is_alive: str 

    +

    67 array shape: (n_states, n_solids) 

    +

    68 element_solid_extra_nodes: str 

    +

    69 array shape: (n_solids, 2) 

    +

    70 element_solid_node10_extra_node_indexes: str 

    +

    71 array shape: (n_solids, 2) 

    +

    72 element_solid_node20_element_index: str 

    +

    73 array shape: (n_node20_solids) 

    +

    74 element_solid_node20_extra_node_indexes: str 

    +

    75 array shape: (n_node20_solids, 12) 

    +

    76 element_solid_node27_element_index: str 

    +

    77 array shape: (n_node27_solids) 

    +

    78 element_solid_node27_extra_node_indexes: str 

    +

    79 array shape: (n_node27_solids, 27) 

    +

    80 element_solid_node21_penta_element_index: str 

    +

    81 array shape: (n_node21p_solids) 

    +

    82 element_solid_node21_penta_extra_node_indexes: str 

    +

    83 array shape: (n_node21p_solids, 21) 

    +

    84 element_solid_node15_tetras_element_index: str 

    +

    85 array shape: (n_node15t_solids) 

    +

    86 element_solid_node15_tetras_extra_node_indexes: str 

    +

    87 array shape: (n_node15t_solids, 7) 

    +

    88 element_solid_node20_tetras_element_index: str 

    +

    89 array shape: (n_node20t_solids) 

    +

    90 element_solid_node20_tetras_extra_node_indexes: str 

    +

    91 array shape: (n_node20t_solids, 20) 

    +

    92 element_solid_node40_pentas_element_index: str 

    +

    93 array shape: (n_node40h_solids) 

    +

    94 element_solid_node40_pentas_extra_node_indexes: str 

    +

    95 array shape: (n_node40h_solids, 40) 

    +

    96 element_solid_node64_hexas_element_index: str 

    +

    97 array shape: (n_node64h_solids) 

    +

    98 element_solid_node64_hexas_extra_node_indexes: str 

    +

    99 array shape: (n_node64h_solids, 64) 

    +

    100 element_tshell_part_indexes: str 

    +

    101 array shape: (n_tshells) 

    +

    102 element_tshell_node_indexes: str 

    +

    103 array shape: (n_tshells, 8) 

    +

    104 element_tshell_ids: str 

    +

    105 array shape: (n_tshells) 

    +

    106 element_tshell_stress: str 

    +

    107 array shape: (n_states, n_tshells, n_tshells_layers, xx_yy_zz_xy_yz_xz) 

    +

    108 element_tshell_effective_plastic_strain: str 

    +

    109 array shape: (n_states, n_tshells, n_tshells_layers) 

    +

    110 element_tshell_history_variables: str 

    +

    111 array shape: (n_states, n_tshells, n_tshells_layers, xx_yy_zz_xy_yz_xz) 

    +

    112 element_tshell_is_alive: str 

    +

    113 array shape: (n_states, n_tshells) 

    +

    114 element_tshell_strain: str 

    +

    115 array shape: (n_states, n_tshells, upper_lower, xx_yy_zz_xy_yz_xz) 

    +

    116 element_beam_part_indexes: str 

    +

    117 array shape: (n_beams) 

    +

    118 element_beam_node_indexes: str 

    +

    119 array shape: (n_beams, 5) 

    +

    120 element_beam_ids: str 

    +

    121 array shape: (n_beams) 

    +

    122 element_beam_axial_force: str 

    +

    123 array shape: (n_states, n_beams) 

    +

    124 element_beam_shear_force: str 

    +

    125 array shape: (n_states, n_beams, s_t) 

    +

    126 element_beam_bending_moment: str 

    +

    127 array shape: (n_states, n_beams, s_t) 

    +

    128 element_beam_torsion_moment: str 

    +

    129 array shape: (n_states, n_beams) 

    +

    130 element_beam_shear_stress: str 

    +

    131 array shape: (n_states, n_beams, n_beams_layers, rs_rt) 

    +

    132 element_beam_axial_stress: str 

    +

    133 array shape: (n_states, n_beams, n_beams_layers) 

    +

    134 element_beam_plastic_strain: str 

    +

    135 array shape: (n_states, n_beams, n_beams_layers) 

    +

    136 element_beam_axial_strain: str 

    +

    137 array shape: (n_states, n_beams, n_beams_layers) 

    +

    138 element_beam_history_vars: str 

    +

    139 array shape: (n_states, n_beams, n_beams_layers+3, n_beams_history_vars) 

    +

    140 element_beam_is_alive: str 

    +

    141 array shape: (n_states, n_beams) 

    +

    142 element_shell_part_indexes: str 

    +

    143 array shape (n_shells, 4) 

    +

    144 element_shell_node_indexes: str 

    +

    145 array shape (n_shells) 

    +

    146 element_shell_ids: str 

    +

    147 array shape (n_shells) 

    +

    148 element_shell_stress: str 

    +

    149 array shape (n_states, n_shells_non_rigid, n_shell_layers, xx_yy_zz_xy_yz_xz) 

    +

    150 element_shell_effective_plastic_strain: str 

    +

    151 array shape (n_states, n_shells_non_rigid, n_shell_layers) 

    +

    152 element_shell_history_vars: str 

    +

    153 array shape (n_states, n_shells_non_rigid, n_shell_layers, n_shell_history_vars) 

    +

    154 element_shell_bending_moment: str 

    +

    155 array shape (n_states, n_shells_non_rigid, mx_my_mxy) 

    +

    156 element_shell_shear_force: str 

    +

    157 array shape (n_states, n_shells_non_rigid, qx_qy) 

    +

    158 element_shell_normal_force: str 

    +

    159 array shape (n_states, n_shells_non_rigid, nx_ny_nxy) 

    +

    160 element_shell_thickness: str 

    +

    161 array shape (n_states, n_shells_non_rigid) 

    +

    162 element_shell_unknown_variables: str 

    +

    163 array shape (n_states, n_shells_non_rigid, 2) 

    +

    164 element_shell_internal_energy: str 

    +

    165 array shape (n_states, n_shells_non_rigid) 

    +

    166 element_shell_strain: str 

    +

    167 array shape (n_states, n_shells_non_rigid, upper_lower, xx_yy_zz_xy_yz_xz) 

    +

    168 element_shell_is_alive: str 

    +

    169 array shape (n_states, n_shells_non_rigid) 

    +

    170 element_shell_node8_extra_node_indexes: str 

    +

    171 array shape (n_shells, 4) 

    +

    172 element_shell_node8_element_index: str 

    +

    173 array shape: (n_shells) 

    +

    174 element_shell_plastic_strain_tensor: str 

    +

    175 array shape(n_states, n_shells_non_rigid, n_layers, 6) 

    +

    176 element_shell_thermal_strain_tensor: str 

    +

    177 array shape(n_states, n_shells_non_rigid, 6) 

    +

    178 part_material_type: str 

    +

    179 array shape: (n_parts) 

    +

    180 part_ids: str 

    +

    181 array shape: (n_parts) 

    +

    182 part_ids_unordered: str 

    +

    183 array shape: (n_parts) 

    +

    184 part_ids_cross_references: str 

    +

    185 array shape: (n_parts) 

    +

    186 part_titles: str 

    +

    187 array shape: (n_parts) 

    +

    188 part_titles_ids: str 

    +

    189 array shape: (n_parts) 

    +

    190 part_internal_energy: str 

    +

    191 array shape: (n_states, n_parts) 

    +

    192 part_kinetic_energy: str 

    +

    193 array shape: (n_states, n_parts) 

    +

    194 part_velocity: str 

    +

    195 array shape: (n_states, n_parts, x_y_z) 

    +

    196 part_mass: str 

    +

    197 array shape: (n_states, n_parts) 

    +

    198 part_hourglass_energy: str 

    +

    199 array shape: (n_states, n_parts) 

    +

    200 sph_node_indexes: str 

    +

    201 array shape: (n_sph_nodes) 

    +

    202 sph_node_material_index: str 

    +

    203 array shape: (n_sph_nodes) 

    +

    204 sph_is_alive: str 

    +

    205 array shape: (n_states, n_sph_particles) 

    +

    206 sph_radius: str 

    +

    207 array shape: (n_states, n_sph_particles) 

    +

    208 sph_pressure: str 

    +

    209 array shape: (n_states, n_sph_particles) 

    +

    210 sph_stress: str 

    +

    211 array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz) 

    +

    212 sph_effective_plastic_strain: str 

    +

    213 array shape: (n_states, n_sph_particles) 

    +

    214 sph_density: str 

    +

    215 array shape: (n_states, n_sph_particles) 

    +

    216 sph_internal_energy: str 

    +

    217 array shape: (n_states, n_sph_particles) 

    +

    218 sph_n_neighbors: str 

    +

    219 array shape: (n_states, n_sph_particles) 

    +

    220 sph_strain: str 

    +

    221 array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz) 

    +

    222 sph_strainrate: str 

    +

    223 array shape: (n_states, n_sph_particles, xx_yy_zz_xy_yz_xz) 

    +

    224 sph_mass: str 

    +

    225 array shape: (n_states, n_sph_particles) 

    +

    226 sph_deletion: str 

    +

    227 array shape: (n_states, n_sph_particles) 

    +

    228 sph_history_vars: str 

    +

    229 array shape: (n_states, n_sph_particles, n_sph_history_vars) 

    +

    230 airbag_variable_names: str 

    +

    231 array shape: (n_variables) 

    +

    232 airbag_variable_types: str 

    +

    233 array shape: (n_variables) 

    +

    234 airbags_first_particle_id: str 

    +

    235 array shape: (n_airbags) 

    +

    236 airbags_n_particles: str 

    +

    237 array shape: (n_airbags) 

    +

    238 airbags_ids: str 

    +

    239 array shape: (n_airbags) 

    +

    240 airbags_n_gas_mixtures: str 

    +

    241 array shape: (n_airbags) 

    +

    242 airbags_n_chambers: str 

    +

    243 array shape: (n_airbags) 

    +

    244 airbag_n_active_particles: str 

    +

    245 array shape: (n_states, n_airbags) 

    +

    246 airbag_bag_volume: str 

    +

    247 array shape: (n_states, n_airbags) 

    +

    248 airbag_particle_gas_id: str 

    +

    249 array shape: (n_states, n_airbag_particles) 

    +

    250 airbag_particle_chamber_id: str 

    +

    251 array shape: (n_states, n_airbag_particles) 

    +

    252 airbag_particle_leakage: str 

    +

    253 array shape: (n_states, n_airbag_particles) 

    +

    254 airbag_particle_mass: str 

    +

    255 array shape: (n_states, n_airbag_particles) 

    +

    256 airbag_particle_radius: str 

    +

    257 array shape: (n_states, n_airbag_particles) 

    +

    258 airbag_particle_spin_energy: str 

    +

    259 array shape: (n_states, n_airbag_particles) 

    +

    260 airbag_particle_translation_energy: str 

    +

    261 array shape: (n_states, n_airbag_particles) 

    +

    262 airbag_particle_nearest_segment_distance: str 

    +

    263 array shape: (n_states, n_airbag_particles) 

    +

    264 airbag_particle_position: str 

    +

    265 array shape: (n_states, n_airbag_particles, x_y_z) 

    +

    266 airbag_particle_velocity: str 

    +

    267 array shape: (n_states, n_airbag_particles, x_y_z) 

    +

    268 rigid_road_node_ids: str 

    +

    269 array shape: (rigid_road_n_nodes) 

    +

    270 rigid_road_node_coordinates: str 

    +

    271 array shape: (rigid_road_n_nodes, x_y_z) 

    +

    272 rigid_road_ids: str 

    +

    273 array shape: (n_roads) 

    +

    274 rigid_road_n_segments: str 

    +

    275 array shape: (n_roads) 

    +

    276 rigid_road_segment_node_ids: str 

    +

    277 list!: (n_roads, 4*n_road_segments) 

    +

    278 rigid_road_segment_road_id: str 

    +

    279 list!: (n_roads, n_road_segments) 

    +

    280 rigid_road_displacement: str 

    +

    281 array shape: (n_states, n_roads, x_y_z) 

    +

    282 rigid_road_velocity: str 

    +

    283 array shape: (n_states, n_roads, x_y_z) 

    +

    284 rigid_body_part_indexes: str 

    +

    285 array shape: (n_rigid_bodies) 

    +

    286 rigid_body_n_nodes: str 

    +

    287 array shape: (n_rigid_bodies) 

    +

    288 rigid_body_node_indexes_list: str 

    +

    289 list!: (n_rigid_bodies, n_rigid_body_nodes (differs)) 

    +

    290 rigid_body_n_active_nodes: str 

    +

    291 array shape: (n_rigid_bodies) 

    +

    292 rigid_body_active_node_indexes_list: str 

    +

    293 list!: (n_rigid_bodies, n_rigid_body_nodes (differs)) 

    +

    294 rigid_body_coordinates: str 

    +

    295 array shape: (n_states, n_rigid_bodies, x_y_z) 

    +

    296 rigid_body_rotation_matrix: str 

    +

    297 array shape: (n_states, n_rigid_bodies, 9) 

    +

    298 rigid_body_velocity: str 

    +

    299 array shape: (n_states, n_rigid_bodies, x_y_z) 

    +

    300 rigid_body_rot_velocity: str 

    +

    301 array shape: (n_states, n_rigid_bodies, x_y_z) 

    +

    302 rigid_body_acceleration: str 

    +

    303 array shape: (n_states, n_rigid_bodies, x_y_z) 

    +

    304 rigid_body_rot_acceleration: str 

    +

    305 array shape: (n_states, n_rigid_bodies, x_y_z) 

    +

    306 contact_title_ids: str 

    +

    307 array shape: (n_contacts) 

    +

    308 contact_titles: str 

    +

    309 array shape: (n_contacts) 

    +

    310 ale_material_ids: str 

    +

    311 array shape: (n_ale_material) 

    +

    312 rigid_wall_force: str 

    +

    313 array shape: (n_states, n_rigid_walls) 

    +

    314 rigid_wall_position: str 

    +

    315 array shape: (n_states, n_rigid_walls, x_y_z) 

    +

    316 """ 

    +

    317 

    +

    318 # global 

    +

    319 global_timesteps = "timesteps" 

    +

    320 global_kinetic_energy = "global_kinetic_energy" 

    +

    321 global_internal_energy = "global_internal_energy" 

    +

    322 global_total_energy = "global_total_energy" 

    +

    323 global_velocity = "global_velocity" 

    +

    324 # nodes 

    +

    325 node_ids = "node_ids" 

    +

    326 node_coordinates = "node_coordinates" 

    +

    327 node_displacement = "node_displacement" 

    +

    328 node_velocity = "node_velocity" 

    +

    329 node_acceleration = "node_acceleration" 

    +

    330 node_is_alive = "node_is_alive" 

    +

    331 node_temperature = "node_temperature" 

    +

    332 node_heat_flux = "node_heat_flux" 

    +

    333 node_mass_scaling = "node_mass_scaling" 

    +

    334 node_temperature_gradient = "node_temperature_gradient" 

    +

    335 node_residual_forces = "node_residual_forces" 

    +

    336 node_residual_moments = "node_residual_moments" 

    +

    337 # solids 

    +

    338 element_solid_node_indexes = "element_solid_node_indexes" 

    +

    339 element_solid_part_indexes = "element_solid_part_indexes" 

    +

    340 element_solid_ids = "element_solid_ids" 

    +

    341 element_solid_thermal_data = "element_solid_thermal_data" 

    +

    342 element_solid_stress = "element_solid_stress" 

    +

    343 element_solid_effective_plastic_strain = "element_solid_effective_plastic_strain" 

    +

    344 element_solid_history_variables = "element_solid_history_variables" 

    +

    345 element_solid_strain = "element_solid_strain" 

    +

    346 element_solid_plastic_strain_tensor = "element_solid_plastic_strain_tensor" 

    +

    347 element_solid_thermal_strain_tensor = "element_solid_thermal_strain_tensor" 

    +

    348 element_solid_is_alive = "element_solid_is_alive" 

    +

    349 element_solid_extra_nodes = "element_solid_extra_nodes" 

    +

    350 element_solid_node10_extra_node_indexes = "element_solid_node10_extra_node_indexes" 

    +

    351 element_solid_node20_element_index = "element_solid_node20_element_index" 

    +

    352 element_solid_node20_extra_node_indexes = "element_solid_node20_extra_node_indexes" 

    +

    353 element_solid_node27_element_index = "element_solid_node27_element_index" 

    +

    354 element_solid_node27_extra_node_indexes = "element_solid_node27_extra_node_indexes" 

    +

    355 element_solid_node21_penta_element_index = "element_solid_node21_penta_element_index" 

    +

    356 element_solid_node21_penta_extra_node_indexes = "element_solid_node21_penta_extra_node_indexes" 

    +

    357 element_solid_node15_tetras_element_index = "element_solid_node15_tetras_element_index" 

    +

    358 element_solid_node15_tetras_extra_node_indexes = ( 

    +

    359 "element_solid_node15_tetras_extra_node_indexes" 

    +

    360 ) 

    +

    361 element_solid_node20_tetras_element_index = "element_solid_node20_tetras_element_index" 

    +

    362 element_solid_node20_tetras_extra_node_indexes = ( 

    +

    363 "element_solid_node20_tetras_extra_node_indexes" 

    +

    364 ) 

    +

    365 element_solid_node40_pentas_element_index = "element_solid_node40_pentas_element_index" 

    +

    366 element_solid_node40_pentas_extra_node_indexes = ( 

    +

    367 "element_solid_node40_pentas_extra_node_indexes" 

    +

    368 ) 

    +

    369 element_solid_node64_hexas_element_index = "element_solid_node64_hexas_element_index" 

    +

    370 element_solid_node64_hexas_extra_node_indexes = "element_solid_node64_hexas_extra_node_indexes" 

    +

    371 

    +

    372 # tshells 

    +

    373 element_tshell_part_indexes = "element_tshell_part_indexes" 

    +

    374 element_tshell_node_indexes = "element_tshell_node_indexes" 

    +

    375 element_tshell_ids = "element_tshell_ids" 

    +

    376 element_tshell_stress = "element_tshell_stress" 

    +

    377 element_tshell_effective_plastic_strain = "element_tshell_effective_plastic_strain" 

    +

    378 element_tshell_history_variables = "element_tshell_history_variables" 

    +

    379 element_tshell_is_alive = "element_tshell_is_alive" 

    +

    380 element_tshell_strain = "element_tshell_strain" 

    +

    381 # beams 

    +

    382 element_beam_part_indexes = "element_beam_part_indexes" 

    +

    383 element_beam_node_indexes = "element_beam_node_indexes" 

    +

    384 element_beam_ids = "element_beam_ids" 

    +

    385 

    +

    386 element_beam_axial_force = "element_beam_axial_force" 

    +

    387 element_beam_shear_force = "element_beam_shear_force" 

    +

    388 element_beam_bending_moment = "element_beam_bending_moment" 

    +

    389 element_beam_torsion_moment = "element_beam_torsion_moment" 

    +

    390 element_beam_shear_stress = "element_beam_shear_stress" 

    +

    391 element_beam_axial_stress = "element_beam_axial_stress" 

    +

    392 element_beam_plastic_strain = "element_beam_plastic_strain" 

    +

    393 element_beam_axial_strain = "element_beam_axial_strain" 

    +

    394 element_beam_history_vars = "element_beam_history_vars" 

    +

    395 element_beam_is_alive = "element_beam_is_alive" 

    +

    396 # shells 

    +

    397 element_shell_part_indexes = "element_shell_part_indexes" 

    +

    398 element_shell_node_indexes = "element_shell_node_indexes" 

    +

    399 element_shell_ids = "element_shell_ids" 

    +

    400 element_shell_stress = "element_shell_stress" 

    +

    401 element_shell_effective_plastic_strain = "element_shell_effective_plastic_strain" 

    +

    402 element_shell_history_vars = "element_shell_history_vars" 

    +

    403 element_shell_bending_moment = "element_shell_bending_moment" 

    +

    404 element_shell_shear_force = "element_shell_shear_force" 

    +

    405 element_shell_normal_force = "element_shell_normal_force" 

    +

    406 element_shell_thickness = "element_shell_thickness" 

    +

    407 element_shell_unknown_variables = "element_shell_unknown_variables" 

    +

    408 element_shell_internal_energy = "element_shell_internal_energy" 

    +

    409 element_shell_strain = "element_shell_strain" 

    +

    410 element_shell_is_alive = "element_shell_is_alive" 

    +

    411 element_shell_node8_extra_node_indexes = "element_shell_node8_extra_node_indexes" 

    +

    412 element_shell_node8_element_index = "element_shell_node8_element_index" 

    +

    413 element_shell_plastic_strain_tensor = "element_shell_plastic_strain_tensor" 

    +

    414 element_shell_thermal_strain_tensor = "element_shell_thermal_strain_tensor" 

    +

    415 # parts 

    +

    416 part_material_type = "part_material_type" 

    +

    417 part_ids = "part_ids" 

    +

    418 part_ids_unordered = "part_ids_unordered" 

    +

    419 part_ids_cross_references = "part_ids_cross_references" 

    +

    420 part_titles = "part_titles" 

    +

    421 part_titles_ids = "part_titles_ids" 

    +

    422 part_internal_energy = "part_internal_energy" 

    +

    423 part_kinetic_energy = "part_kinetic_energy" 

    +

    424 part_velocity = "part_velocity" 

    +

    425 part_mass = "part_mass" 

    +

    426 part_hourglass_energy = "part_hourglass_energy" 

    +

    427 # sph 

    +

    428 sph_node_indexes = "sph_node_indexes" 

    +

    429 sph_node_material_index = "sph_node_material_index" 

    +

    430 sph_is_alive = "sph_is_alive" 

    +

    431 sph_radius = "sph_radius" 

    +

    432 sph_pressure = "sph_pressure" 

    +

    433 sph_stress = "sph_stress" 

    +

    434 sph_effective_plastic_strain = "sph_effective_plastic_strain" 

    +

    435 sph_density = "sph_density" 

    +

    436 sph_internal_energy = "sph_internal_energy" 

    +

    437 sph_n_neighbors = "sph_n_neighbors" 

    +

    438 sph_strain = "sph_strain" 

    +

    439 sph_strainrate = "sph_strainrate" 

    +

    440 sph_mass = "sph_mass" 

    +

    441 sph_deletion = "sph_deletion" 

    +

    442 sph_history_vars = "sph_history_vars" 

    +

    443 # airbag 

    +

    444 airbag_variable_names = "airbag_variable_names" 

    +

    445 airbag_variable_types = "airbag_variable_types" 

    +

    446 

    +

    447 airbags_first_particle_id = "airbags_first_particle_id" 

    +

    448 airbags_n_particles = "airbags_n_particles" 

    +

    449 airbags_ids = "airbags_ids" 

    +

    450 airbags_n_gas_mixtures = "airbags_n_gas_mixtures" 

    +

    451 airbags_n_chambers = "airbags_n_chambers" 

    +

    452 

    +

    453 airbag_n_active_particles = "airbag_n_active_particles" 

    +

    454 airbag_bag_volume = "airbag_bag_volume" 

    +

    455 

    +

    456 airbag_particle_gas_id = "airbag_particle_gas_id" 

    +

    457 airbag_particle_chamber_id = "airbag_particle_chamber_id" 

    +

    458 airbag_particle_leakage = "airbag_particle_leakage" 

    +

    459 airbag_particle_mass = "airbag_particle_mass" 

    +

    460 airbag_particle_radius = "airbag_particle_radius" 

    +

    461 airbag_particle_spin_energy = "airbag_particle_spin_energy" 

    +

    462 airbag_particle_translation_energy = "airbag_particle_translation_energy" 

    +

    463 airbag_particle_nearest_segment_distance = "airbag_particle_nearest_segment_distance" 

    +

    464 airbag_particle_position = "airbag_particle_position" 

    +

    465 airbag_particle_velocity = "airbag_particle_velocity" 

    +

    466 # rigid roads 

    +

    467 rigid_road_node_ids = "rigid_road_node_ids" 

    +

    468 rigid_road_node_coordinates = "rigid_road_node_coordinates" 

    +

    469 rigid_road_ids = "rigid_road_ids" 

    +

    470 rigid_road_n_segments = "rigid_road_n_segments" 

    +

    471 rigid_road_segment_node_ids = "rigid_road_segment_node_ids" 

    +

    472 rigid_road_segment_road_id = "rigid_road_segment_road_id" 

    +

    473 rigid_road_displacement = "rigid_road_displacement" 

    +

    474 rigid_road_velocity = "rigid_road_velocity" 

    +

    475 # rigid body 

    +

    476 rigid_body_part_indexes = "rigid_body_part_index" 

    +

    477 rigid_body_n_nodes = "rigid_body_n_nodes" 

    +

    478 rigid_body_node_indexes_list = "rigid_body_node_indexes_list" 

    +

    479 rigid_body_n_active_nodes = "rigid_body_n_active_nodes" 

    +

    480 rigid_body_active_node_indexes_list = "rigid_body_active_node_indexes_list" 

    +

    481 rigid_body_coordinates = "rigid_body_coordinates" 

    +

    482 rigid_body_rotation_matrix = "rigid_body_rotation_matrix" 

    +

    483 rigid_body_velocity = "rigid_body_velocity" 

    +

    484 rigid_body_rot_velocity = "rigid_body_rotational_velocity" 

    +

    485 rigid_body_acceleration = "rigid_body_acceleration" 

    +

    486 rigid_body_rot_acceleration = "rigid_body_rotational_acceleration" 

    +

    487 # contact info 

    +

    488 contact_title_ids = "contact_title_ids" 

    +

    489 contact_titles = "contact_titles" 

    +

    490 # ALE 

    +

    491 ale_material_ids = "ale_material_ids" 

    +

    492 # rigid wall 

    +

    493 rigid_wall_force = "rigid_wall_force" 

    +

    494 rigid_wall_position = "rigid_wall_position" 

    +

    495 

    +

    496 @staticmethod 

    +

    497 def get_state_array_names() -> typing.List[str]: 

    +

    498 """Get the names of all state arrays 

    +

    499 

    +

    500 Returns: 

    +

    501 -------- 

    +

    502 state_array_names: List[str] 

    +

    503 list of state array names 

    +

    504 """ 

    +

    505 return [ 

    +

    506 # global 

    +

    507 ArrayType.global_timesteps, 

    +

    508 ArrayType.global_kinetic_energy, 

    +

    509 ArrayType.global_internal_energy, 

    +

    510 ArrayType.global_total_energy, 

    +

    511 ArrayType.global_velocity, 

    +

    512 # parts 

    +

    513 ArrayType.part_internal_energy, 

    +

    514 ArrayType.part_kinetic_energy, 

    +

    515 ArrayType.part_velocity, 

    +

    516 ArrayType.part_mass, 

    +

    517 ArrayType.part_hourglass_energy, 

    +

    518 # rigid wall 

    +

    519 ArrayType.rigid_wall_force, 

    +

    520 ArrayType.rigid_wall_position, 

    +

    521 # nodes 

    +

    522 ArrayType.node_temperature, 

    +

    523 ArrayType.node_heat_flux, 

    +

    524 ArrayType.node_mass_scaling, 

    +

    525 ArrayType.node_displacement, 

    +

    526 ArrayType.node_velocity, 

    +

    527 ArrayType.node_acceleration, 

    +

    528 ArrayType.node_temperature_gradient, 

    +

    529 ArrayType.node_residual_forces, 

    +

    530 ArrayType.node_residual_moments, 

    +

    531 # solids 

    +

    532 ArrayType.element_solid_thermal_data, 

    +

    533 ArrayType.element_solid_stress, 

    +

    534 ArrayType.element_solid_effective_plastic_strain, 

    +

    535 ArrayType.element_solid_history_variables, 

    +

    536 ArrayType.element_solid_strain, 

    +

    537 ArrayType.element_solid_is_alive, 

    +

    538 ArrayType.element_solid_plastic_strain_tensor, 

    +

    539 ArrayType.element_solid_thermal_strain_tensor, 

    +

    540 # thick shells 

    +

    541 ArrayType.element_tshell_stress, 

    +

    542 ArrayType.element_tshell_effective_plastic_strain, 

    +

    543 ArrayType.element_tshell_history_variables, 

    +

    544 ArrayType.element_tshell_strain, 

    +

    545 ArrayType.element_tshell_is_alive, 

    +

    546 # beams 

    +

    547 ArrayType.element_beam_axial_force, 

    +

    548 ArrayType.element_beam_shear_force, 

    +

    549 ArrayType.element_beam_bending_moment, 

    +

    550 ArrayType.element_beam_torsion_moment, 

    +

    551 ArrayType.element_beam_shear_stress, 

    +

    552 ArrayType.element_beam_axial_stress, 

    +

    553 ArrayType.element_beam_plastic_strain, 

    +

    554 ArrayType.element_beam_axial_strain, 

    +

    555 ArrayType.element_beam_history_vars, 

    +

    556 ArrayType.element_beam_is_alive, 

    +

    557 # shells 

    +

    558 ArrayType.element_shell_stress, 

    +

    559 ArrayType.element_shell_effective_plastic_strain, 

    +

    560 ArrayType.element_shell_history_vars, 

    +

    561 ArrayType.element_shell_bending_moment, 

    +

    562 ArrayType.element_shell_shear_force, 

    +

    563 ArrayType.element_shell_normal_force, 

    +

    564 ArrayType.element_shell_thickness, 

    +

    565 ArrayType.element_shell_unknown_variables, 

    +

    566 ArrayType.element_shell_internal_energy, 

    +

    567 ArrayType.element_shell_strain, 

    +

    568 ArrayType.element_shell_is_alive, 

    +

    569 ArrayType.element_shell_plastic_strain_tensor, 

    +

    570 ArrayType.element_shell_thermal_strain_tensor, 

    +

    571 # sph 

    +

    572 ArrayType.sph_deletion, 

    +

    573 ArrayType.sph_radius, 

    +

    574 ArrayType.sph_pressure, 

    +

    575 ArrayType.sph_stress, 

    +

    576 ArrayType.sph_effective_plastic_strain, 

    +

    577 ArrayType.sph_density, 

    +

    578 ArrayType.sph_internal_energy, 

    +

    579 ArrayType.sph_n_neighbors, 

    +

    580 ArrayType.sph_strain, 

    +

    581 ArrayType.sph_mass, 

    +

    582 # airbag 

    +

    583 ArrayType.airbag_n_active_particles, 

    +

    584 ArrayType.airbag_bag_volume, 

    +

    585 ArrayType.airbag_particle_gas_id, 

    +

    586 ArrayType.airbag_particle_chamber_id, 

    +

    587 ArrayType.airbag_particle_leakage, 

    +

    588 ArrayType.airbag_particle_mass, 

    +

    589 ArrayType.airbag_particle_radius, 

    +

    590 ArrayType.airbag_particle_spin_energy, 

    +

    591 ArrayType.airbag_particle_translation_energy, 

    +

    592 ArrayType.airbag_particle_nearest_segment_distance, 

    +

    593 ArrayType.airbag_particle_position, 

    +

    594 ArrayType.airbag_particle_velocity, 

    +

    595 # rigid road 

    +

    596 ArrayType.rigid_road_displacement, 

    +

    597 ArrayType.rigid_road_velocity, 

    +

    598 # rigid body 

    +

    599 ArrayType.rigid_body_coordinates, 

    +

    600 ArrayType.rigid_body_rotation_matrix, 

    +

    601 ArrayType.rigid_body_velocity, 

    +

    602 ArrayType.rigid_body_rot_velocity, 

    +

    603 ArrayType.rigid_body_acceleration, 

    +

    604 ArrayType.rigid_body_rot_acceleration, 

    +

    605 ] 

    +
    + + + diff --git a/coverage/d_233c5ceebba6ed8d_binout_py.html b/coverage/d_233c5ceebba6ed8d_binout_py.html new file mode 100644 index 0000000..496f5f8 --- /dev/null +++ b/coverage/d_233c5ceebba6ed8d_binout_py.html @@ -0,0 +1,577 @@ + + + + + Coverage for lasso/dyna/binout.py: 17% + + + + + +
    +
    +

    + Coverage for lasso/dyna/binout.py: + 17% +

    + +

    + 112 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import glob 

    +

    2from typing import List, Union 

    +

    3 

    +

    4import h5py 

    +

    5import numpy as np 

    +

    6import pandas as pd 

    +

    7 

    +

    8from .lsda_py3 import Lsda 

    +

    9 

    +

    10 

    +

    11class Binout: 

    +

    12 """This class is meant to read binouts from LS-Dyna 

    +

    13 

    +

    14 Parameters 

    +

    15 ---------- 

    +

    16 filepath: str 

    +

    17 Path to the binout to read. May contain * (glob) for selecting multiple 

    +

    18 files. 

    +

    19 

    +

    20 Attributes 

    +

    21 ---------- 

    +

    22 filelist: List[str] 

    +

    23 List of files which are opened. 

    +

    24 lsda: Lsda 

    +

    25 The underlying LS-Dyna binout reader instance from code from LSTC. 

    +

    26 lsda_root: Symbol 

    +

    27 Root lsda symbol which is like a root directory to traverse the 

    +

    28 content of the binout file. 

    +

    29 

    +

    30 Notes 

    +

    31 ----- 

    +

    32 This class is only a utility wrapper for Lsda from LSTC. 

    +

    33 

    +

    34 Examples 

    +

    35 -------- 

    +

    36 >>> binout = Binout("path/to/binout") 

    +

    37 """ 

    +

    38 

    +

    39 def __init__(self, filepath: str): 

    +

    40 """Constructor for a binout 

    +

    41 

    +

    42 Parameters 

    +

    43 ---------- 

    +

    44 filepath: str 

    +

    45 path to the binout or pattern 

    +

    46 

    +

    47 Notes 

    +

    48 ----- 

    +

    49 The class loads the file given in the filepath. By giving a 

    +

    50 search pattern such as: "binout*", all files with that 

    +

    51 pattern will be loaded. 

    +

    52 

    +

    53 Examples 

    +

    54 -------- 

    +

    55 >>> # reads a single binout 

    +

    56 >>> binout = Binout("path/to/binout0000") 

    +

    57 >>> binout.filelist 

    +

    58 ['path/to/binout0000'] 

    +

    59 

    +

    60 >>> # reads multiple files 

    +

    61 >>> binout = Binout("path/to/binout*") 

    +

    62 >>> binout.filelist 

    +

    63 ['path/to/binout0000','path/to/binout0001'] 

    +

    64 """ 

    +

    65 

    +

    66 self.filelist = glob.glob(filepath) 

    +

    67 

    +

    68 # check file existance 

    +

    69 if not self.filelist: 

    +

    70 raise IOError("No file was found.") 

    +

    71 

    +

    72 # open lsda buffer 

    +

    73 self.lsda = Lsda(self.filelist, "r") 

    +

    74 self.lsda_root = self.lsda.root 

    +

    75 

    +

    76 def read(self, *path) -> Union[List[str], str, np.ndarray]: 

    +

    77 """Read all data from Binout (top to low level) 

    +

    78 

    +

    79 Parameters 

    +

    80 ---------- 

    +

    81 path: Union[Tuple[str, ...], List[str], str] 

    +

    82 internal path in the folder structure of the binout 

    +

    83 

    +

    84 Returns 

    +

    85 ------- 

    +

    86 ret: Union[List[str], str, np.ndarray] 

    +

    87 list of subdata within the folder or data itself (array or string) 

    +

    88 

    +

    89 Notes 

    +

    90 ----- 

    +

    91 This function is used to read any data from the binout. It has been used 

    +

    92 to make the access to the data more comfortable. The return type depends 

    +

    93 on the given path: 

    +

    94 

    +

    95 - `binout.read()`: `List[str] names of directories (in binout) 

    +

    96 - `binout.read(dir)`: `List[str]` names of variables or subdirs 

    +

    97 - `binout.read(dir1, ..., variable)`: np.array data 

    +

    98 

    +

    99 If you have multiple outputs with different ids (e.g. in nodout for 

    +

    100 multiple nodes) then don't forget to read the id array for 

    +

    101 identification or id-labels. 

    +

    102 

    +

    103 Examples 

    +

    104 -------- 

    +

    105 >>> from lasso.dyna import Binout 

    +

    106 >>> binout = Binout("test/binout") 

    +

    107 >>> # get top dirs 

    +

    108 >>> binout.read() 

    +

    109 ['swforc'] 

    +

    110 >>> binout.read("swforc") 

    +

    111 ['title', 'failure', 'ids', 'failure_time', ...] 

    +

    112 >>> binout.read("swforc","shear").shape 

    +

    113 (321L, 26L) 

    +

    114 >>> binout.read("swforc","ids").shape 

    +

    115 (26L,) 

    +

    116 >>> binout.read("swforc","ids") 

    +

    117 array([52890, 52891, 52892, ...]) 

    +

    118 >>> # read a string value 

    +

    119 >>> binout.read("swforc","date") 

    +

    120 '11/05/2013' 

    +

    121 """ 

    +

    122 

    +

    123 return self._decode_path(path) 

    +

    124 

    +

    125 def as_df(self, *args) -> pd.DataFrame: 

    +

    126 """read data and convert to pandas dataframe if possible 

    +

    127 

    +

    128 Parameters 

    +

    129 ---------- 

    +

    130 *args: Union[Tuple[str, ...], List[str], str] 

    +

    131 internal path in the folder structure of the binout 

    +

    132 

    +

    133 Returns 

    +

    134 ------- 

    +

    135 df: pandas.DataFrame 

    +

    136 data converted to pandas dataframe 

    +

    137 

    +

    138 Raises 

    +

    139 ------ 

    +

    140 ValueError 

    +

    141 if the data cannot be converted to a pandas dataframe 

    +

    142 

    +

    143 Examples 

    +

    144 -------- 

    +

    145 >>> from lasso.dyna import Binout 

    +

    146 >>> binout = Binout('path/to/binout') 

    +

    147 

    +

    148 Read a time-dependent array. 

    +

    149 

    +

    150 >>> binout.as_df('glstat', 'eroded_kinetic_energy') 

    +

    151 time 

    +

    152 0.00000 0.000000 

    +

    153 0.19971 0.000000 

    +

    154 0.39942 0.000000 

    +

    155 0.59976 0.000000 

    +

    156 0.79947 0.000000 

    +

    157 ... 

    +

    158 119.19978 105.220786 

    +

    159 119.39949 105.220786 

    +

    160 119.59983 105.220786 

    +

    161 119.79954 105.220786 

    +

    162 119.99988 105.220786 

    +

    163 Name: eroded_kinetic_energy, Length: 601, dtype: float64 

    +

    164 

    +

    165 Read a time and id-dependent array. 

    +

    166 

    +

    167 >>> binout.as_df('secforc', 'x_force') 

    +

    168 1 2 3 ... 33 34 

    +

    169 time . 

    +

    170 0.00063 2.168547e-16 2.275245e-15 -3.118639e-14 ... -5.126108e-13 4.592941e-16 

    +

    171 0.20034 3.514243e-04 3.797908e-04 -1.701294e-03 ... 2.530416e-11 2.755493e-07 

    +

    172 0.40005 3.052490e-03 3.242951e-02 -2.699926e-02 ... 6.755315e-06 -2.608923e-03 

    +

    173 0.60039 -1.299816e-02 4.930999e-02 -1.632376e-02 ... 8.941705e-05 -2.203455e-02 

    +

    174 0.80010 1.178485e-02 4.904512e-02 -9.740204e-03 ... 5.648263e-05 -6.999854e-02 

    +

    175 ... ... ... ... ... ... ... 

    +

    176 119.00007 9.737679e-01 -8.833702e+00 1.298964e+01 ... -9.977377e-02 7.883521e+00 

    +

    177 119.20041 7.421170e-01 -8.849411e+00 1.253505e+01 ... -1.845916e-01 7.791409e+00 

    +

    178 119.40012 9.946615e-01 -8.541475e+00 1.188757e+01 ... -3.662228e-02 7.675800e+00 

    +

    179 119.60046 9.677638e-01 -8.566695e+00 1.130774e+01 ... 5.144208e-02 7.273052e+00 

    +

    180 119.80017 1.035165e+00 -8.040828e+00 1.124044e+01 ... -1.213450e-02 7.188395e+00 

    +

    181 """ 

    +

    182 

    +

    183 data = self.read(*args) 

    +

    184 

    +

    185 # validate time-based data 

    +

    186 if not isinstance(data, np.ndarray): 

    +

    187 err_msg = "data is not a numpy array but has type '{0}'" 

    +

    188 raise ValueError(err_msg.format(type(data))) 

    +

    189 

    +

    190 time_array = self.read(*args[:-1], "time") 

    +

    191 if data.shape[0] != time_array.shape[0]: 

    +

    192 raise ValueError("data series length does not match time array length") 

    +

    193 

    +

    194 time_pdi = pd.Index(time_array, name="time") 

    +

    195 

    +

    196 # create dataframe 

    +

    197 if data.ndim > 1: 

    +

    198 df = pd.DataFrame(index=time_pdi) 

    +

    199 

    +

    200 if args[0] == "rcforc": 

    +

    201 ids = [ 

    +

    202 (str(i) + "m") if j else (str(i) + "s") 

    +

    203 for i, j in zip(self.read("rcforc", "ids"), self.read("rcforc", "side")) 

    +

    204 ] 

    +

    205 else: 

    +

    206 ids = self.read(*args[:-1], "ids") 

    +

    207 

    +

    208 for i, j in enumerate(ids): 

    +

    209 df[str(j)] = data.T[i] 

    +

    210 

    +

    211 else: 

    +

    212 df = pd.Series(data, index=time_pdi, name=args[-1]) 

    +

    213 

    +

    214 return df 

    +

    215 

    +

    216 def _decode_path(self, path): 

    +

    217 """Decode a path and get whatever is inside. 

    +

    218 

    +

    219 Parameters 

    +

    220 ---------- 

    +

    221 path: List[str] 

    +

    222 path within the binout 

    +

    223 

    +

    224 Notes 

    +

    225 ----- 

    +

    226 Usually returns the folder children. If there are variables in the folder 

    +

    227 (usually also if a subfolder metadata exists), then the variables will 

    +

    228 be printed from these directories. 

    +

    229 

    +

    230 Returns 

    +

    231 ------- 

    +

    232 ret: Union[List[str], np.ndarray] 

    +

    233 either sub folder list or data array 

    +

    234 """ 

    +

    235 

    +

    236 i_level = len(path) 

    +

    237 

    +

    238 if i_level == 0: # root subfolders 

    +

    239 return self._bstr_to_str(list(self.lsda_root.children.keys())) 

    +

    240 

    +

    241 # some subdir 

    +

    242 # try if path can be resolved (then it's a dir) 

    +

    243 # in this case print the subfolders or subvars 

    +

    244 try: 

    +

    245 dir_symbol = self._get_symbol(self.lsda_root, path) 

    +

    246 

    +

    247 if "metadata" in dir_symbol.children: 

    +

    248 return self._collect_variables(dir_symbol) 

    +

    249 return self._bstr_to_str(list(dir_symbol.children.keys())) 

    +

    250 

    +

    251 # an error is risen, if the path is not resolvable 

    +

    252 # this could be, because we want to read a var 

    +

    253 except ValueError: 

    +

    254 return self._get_variable(path) 

    +

    255 

    +

    256 def _get_symbol(self, symbol, path): 

    +

    257 """Get a symbol from a path via lsda 

    +

    258 

    +

    259 Parameters 

    +

    260 ---------- 

    +

    261 symbol: Symbol 

    +

    262 current directory which is a Lsda.Symbol 

    +

    263 

    +

    264 Returns 

    +

    265 ------- 

    +

    266 symbol: Symbol 

    +

    267 final symbol after recursive search of path 

    +

    268 """ 

    +

    269 

    +

    270 # check 

    +

    271 if symbol is None: 

    +

    272 raise ValueError("Symbol may not be none.") 

    +

    273 

    +

    274 # no further path, return current symbol 

    +

    275 if len(path) == 0: 

    +

    276 return symbol 

    +

    277 

    +

    278 # more subsymbols to search for 

    +

    279 sub_path = list(path) # copy 

    +

    280 next_symbol_name = sub_path.pop(0) 

    +

    281 

    +

    282 next_symbol = symbol.get(next_symbol_name) 

    +

    283 if next_symbol is None: 

    +

    284 raise ValueError(f"Cannot find: {next_symbol_name}") 

    +

    285 

    +

    286 return self._get_symbol(next_symbol, sub_path) 

    +

    287 

    +

    288 def _get_variable(self, path): 

    +

    289 """Read a variable from a given path 

    +

    290 

    +

    291 Parameters 

    +

    292 ---------- 

    +

    293 path: List[str] 

    +

    294 path to the variable 

    +

    295 

    +

    296 Returns 

    +

    297 ------- 

    +

    298 data: np.ndarray 

    +

    299 """ 

    +

    300 

    +

    301 dir_symbol = self._get_symbol(self.lsda_root, path[:-1]) 

    +

    302 # variables are somehow binary strings ... dirs not 

    +

    303 variable_name = self._str_to_bstr(path[-1]) 

    +

    304 

    +

    305 # var in metadata 

    +

    306 if ("metadata" in dir_symbol.children) and ( 

    +

    307 variable_name in dir_symbol.get("metadata").children 

    +

    308 ): 

    +

    309 var_symbol = dir_symbol.get("metadata").get(variable_name) 

    +

    310 var_type = var_symbol.type 

    +

    311 

    +

    312 # symbol is a string 

    +

    313 if var_type == 1: 

    +

    314 return self._to_string(var_symbol.read()) 

    +

    315 

    +

    316 # symbol is numeric data 

    +

    317 return np.asarray(var_symbol.read()) 

    +

    318 

    +

    319 # var in state data ... hopefully 

    +

    320 time = [] 

    +

    321 data = [] 

    +

    322 for subdir_name, subdir_symbol in dir_symbol.children.items(): 

    +

    323 

    +

    324 # skip metadata 

    +

    325 if subdir_name == "metadata": 

    +

    326 continue 

    +

    327 

    +

    328 # read data 

    +

    329 if variable_name in subdir_symbol.children: 

    +

    330 state_data = subdir_symbol.get(variable_name).read() 

    +

    331 if len(state_data) == 1: 

    +

    332 data.append(state_data[0]) 

    +

    333 else: # more than one data entry 

    +

    334 data.append(state_data) 

    +

    335 

    +

    336 time_symbol = subdir_symbol.get(b"time") 

    +

    337 if time_symbol: 

    +

    338 time += time_symbol.read() 

    +

    339 

    +

    340 # return sorted by time 

    +

    341 if len(time) == len(data): 

    +

    342 return np.array(data)[np.argsort(time)] 

    +

    343 

    +

    344 return np.array(data) 

    +

    345 

    +

    346 def _collect_variables(self, symbol): 

    +

    347 """Collect all variables from a symbol 

    +

    348 

    +

    349 Parameters 

    +

    350 ---------- 

    +

    351 symbol: Symbol 

    +

    352 

    +

    353 Returns 

    +

    354 ------- 

    +

    355 variable_names: List[str] 

    +

    356 

    +

    357 Notes 

    +

    358 ----- 

    +

    359 This function collect all variables from the state dirs and metadata. 

    +

    360 """ 

    +

    361 

    +

    362 var_names = set() 

    +

    363 for _, subdir_symbol in symbol.children.items(): 

    +

    364 var_names = var_names.union(subdir_symbol.children.keys()) 

    +

    365 

    +

    366 return self._bstr_to_str(list(var_names)) 

    +

    367 

    +

    368 def _to_string(self, data_array): 

    +

    369 """Convert a data series of numbers (usually ints) to a string 

    +

    370 

    +

    371 Parameters 

    +

    372 ---------- 

    +

    373 data_array: Union[int, np.ndarray] 

    +

    374 some data array 

    +

    375 

    +

    376 Returns 

    +

    377 ------- 

    +

    378 string: str 

    +

    379 data array converted to characters 

    +

    380 

    +

    381 Notes 

    +

    382 ----- 

    +

    383 This is needed for the reason that sometimes the binary data 

    +

    384 within the files are strings. 

    +

    385 """ 

    +

    386 

    +

    387 return "".join([chr(entry) for entry in data_array]) 

    +

    388 

    +

    389 def _bstr_to_str(self, arg): 

    +

    390 """Encodes or decodes a string correctly regarding python version 

    +

    391 

    +

    392 Parameters 

    +

    393 ---------- 

    +

    394 arg: Union[str, bytes] 

    +

    395 

    +

    396 Returns 

    +

    397 ------- 

    +

    398 string: str 

    +

    399 converted to python version 

    +

    400 """ 

    +

    401 

    +

    402 # in case of a list call this function with its atomic strings 

    +

    403 if isinstance(arg, (list, tuple)): 

    +

    404 return [self._bstr_to_str(entry) for entry in arg] 

    +

    405 

    +

    406 # convert a string (dependent on python version) 

    +

    407 if not isinstance(arg, str): 

    +

    408 return arg.decode("utf-8") 

    +

    409 

    +

    410 return arg 

    +

    411 

    +

    412 def _str_to_bstr(self, string): 

    +

    413 """Convert a string to a binary string python version independent 

    +

    414 

    +

    415 Parameters 

    +

    416 ---------- 

    +

    417 string: str 

    +

    418 

    +

    419 Returns 

    +

    420 ------- 

    +

    421 string: bytes 

    +

    422 """ 

    +

    423 

    +

    424 if not isinstance(string, bytes): 

    +

    425 return string.encode("utf-8") 

    +

    426 

    +

    427 return string 

    +

    428 

    +

    429 def save_hdf5(self, filepath, compression="gzip"): 

    +

    430 """Save a binout as HDF5 

    +

    431 

    +

    432 Parameters 

    +

    433 ---------- 

    +

    434 filepath: str 

    +

    435 path where the HDF5 shall be saved 

    +

    436 compression: str 

    +

    437 compression technique (see h5py docs) 

    +

    438 

    +

    439 Examples 

    +

    440 -------- 

    +

    441 >>> binout = Binout("path/to/binout") 

    +

    442 >>> binout.save_hdf5("path/to/binout.h5") 

    +

    443 """ 

    +

    444 

    +

    445 with h5py.File(filepath, "w") as fh: 

    +

    446 self._save_all_variables(fh, compression) 

    +

    447 

    +

    448 def _save_all_variables(self, hdf5_grp, compression, *path): 

    +

    449 """Iterates through all variables in the Binout 

    +

    450 

    +

    451 Parameters 

    +

    452 ---------- 

    +

    453 hdf5_grp: Group 

    +

    454 group object in the HDF5, where all the data 

    +

    455 shall be saved into (of course in a tree like 

    +

    456 manner) 

    +

    457 compression: str 

    +

    458 compression technique (see h5py docs) 

    +

    459 path: Tuple[str, ...] 

    +

    460 entry path in the binout 

    +

    461 """ 

    +

    462 

    +

    463 ret = self.read(*path) 

    +

    464 path_str = "/".join(path) 

    +

    465 

    +

    466 # iterate through subdirs 

    +

    467 if isinstance(ret, list): 

    +

    468 

    +

    469 if path_str: 

    +

    470 hdf5_grp = hdf5_grp.create_group(path_str) 

    +

    471 

    +

    472 for entry in ret: 

    +

    473 path_child = path + (entry,) 

    +

    474 self._save_all_variables(hdf5_grp, compression, *path_child) 

    +

    475 # children are variables 

    +

    476 else: 

    +

    477 # can not save strings, only list of strings ... 

    +

    478 if isinstance(ret, str): 

    +

    479 ret = np.array([ret], dtype=np.dtype("S")) 

    +

    480 hdf5_grp.create_dataset(path[-1], data=ret, compression=compression) 

    +
    + + + diff --git a/coverage/d_233c5ceebba6ed8d_d3plot_header_py.html b/coverage/d_233c5ceebba6ed8d_d3plot_header_py.html new file mode 100644 index 0000000..ca34003 --- /dev/null +++ b/coverage/d_233c5ceebba6ed8d_d3plot_header_py.html @@ -0,0 +1,1294 @@ + + + + + Coverage for lasso/dyna/d3plot_header.py: 89% + + + + + +
    +
    +

    + Coverage for lasso/dyna/d3plot_header.py: + 89% +

    + +

    + 415 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import enum 

    +

    2from typing import Any, Dict, Tuple, Union 

    +

    3 

    +

    4import numpy as np 

    +

    5import rich 

    +

    6 

    +

    7from ..io.binary_buffer import BinaryBuffer 

    +

    8from ..logging import get_logger 

    +

    9 

    +

    10# We have a lot of docstrings here but even if not so, we want to contain the 

    +

    11# code here. 

    +

    12# pylint: disable=too-many-lines 

    +

    13 

    +

    14LOGGER = get_logger(__file__) 

    +

    15 

    +

    16 

    +

    17def get_digit(number: int, i_digit: int) -> int: 

    +

    18 """Get a digit from a number 

    +

    19 

    +

    20 Parameters 

    +

    21 ---------- 

    +

    22 number: int 

    +

    23 number to get digit from 

    +

    24 i_digit: int 

    +

    25 index of the digit 

    +

    26 

    +

    27 Returns 

    +

    28 ------- 

    +

    29 digit: int 

    +

    30 digit or 0 if i_digit is too large 

    +

    31 

    +

    32 Notes 

    +

    33 ----- 

    +

    34 `i_digit` does refer to a digit from the 

    +

    35 lowest position counting. Thus, 

    +

    36 123 with `i_digit=0` is `3`. 

    +

    37 """ 

    +

    38 digit_list = [] 

    +

    39 

    +

    40 # pylint: disable = inconsistent-return-statements 

    +

    41 def _get_digit_recursive(x: int): 

    +

    42 if x < 10: 

    +

    43 digit_list.append(x) 

    +

    44 return x 

    +

    45 _get_digit_recursive(x // 10) 

    +

    46 digit_list.append(x % 10) 

    +

    47 

    +

    48 # do the thing 

    +

    49 _get_digit_recursive(number) 

    +

    50 

    +

    51 # revert list from smallest to biggest 

    +

    52 digit_list = digit_list[::-1] 

    +

    53 

    +

    54 return digit_list[i_digit] if i_digit < len(digit_list) else 0 

    +

    55 

    +

    56 

    +

    57class D3plotFiletype(enum.Enum): 

    +

    58 """Enum for the filetype of a D3plot""" 

    +

    59 

    +

    60 D3PLOT = 1 

    +

    61 D3PART = 5 

    +

    62 D3EIGV = 11 

    +

    63 INTFOR = 4 

    +

    64 

    +

    65 

    +

    66def d3plot_filetype_from_integer(value: int) -> D3plotFiletype: 

    +

    67 """Get a D3plotFiletype object from an integer 

    +

    68 

    +

    69 Parameters 

    +

    70 ---------- 

    +

    71 value: int 

    +

    72 integer value representing the filetype 

    +

    73 

    +

    74 Returns 

    +

    75 ------- 

    +

    76 filetype: D3plotFiletype 

    +

    77 d3plot filetype object 

    +

    78 

    +

    79 Raises 

    +

    80 ------ 

    +

    81 RuntimeError if invalid value. 

    +

    82 """ 

    +

    83 

    +

    84 valid_entries = { 

    +

    85 entry.value: entry 

    +

    86 for entry in D3plotFiletype.__members__.values() 

    +

    87 if entry.value != 4 # no intfor 

    +

    88 } 

    +

    89 

    +

    90 if value not in valid_entries: 

    +

    91 valid_filetypes = ",".join( 

    +

    92 f"{key} ({value.value})" 

    +

    93 for key, value in D3plotFiletype.__members__.items() 

    +

    94 if value.value != 4 

    +

    95 ) 

    +

    96 err_msg = f"Invalid filetype value of {value}. Expected one of: {valid_filetypes}" 

    +

    97 raise ValueError(err_msg) 

    +

    98 

    +

    99 return valid_entries[value] 

    +

    100 

    +

    101 

    +

    102# pylint: disable = too-many-instance-attributes 

    +

    103class D3plotHeader: 

    +

    104 """Class for reading only header information of a d3plot 

    +

    105 

    +

    106 Attributes 

    +

    107 ---------- 

    +

    108 filepath: str 

    +

    109 Filepath of the processed file. 

    +

    110 itype: np.dtype 

    +

    111 Integer type of d3plot. 

    +

    112 ftype: np.dtype 

    +

    113 Floating point type of d3plot. 

    +

    114 wordsize: int 

    +

    115 size of words in bytes (4 = single precision, 8 = double precision). 

    +

    116 raw_header: Dict[str, Any] 

    +

    117 Raw header data as dict. 

    +

    118 external_numbers_dtype: np.dtype 

    +

    119 Integer type of user ids. 

    +

    120 n_header_bytes: int 

    +

    121 Number of bytes of header (at least 256 or more). 

    +

    122 title: str 

    +

    123 Main title. 

    +

    124 title2: str 

    +

    125 Optional, secondary title. 

    +

    126 runtime: int 

    +

    127 Runtime of the d3plot as timestamp. 

    +

    128 filetype: D3plotFiletype 

    +

    129 Filetype such as d3plot or d3part. 

    +

    130 source_version: int 

    +

    131 Source version of LS-Dyna. 

    +

    132 release_version: str 

    +

    133 Release version of LS-Dyna. 

    +

    134 version: float 

    +

    135 Version of LS-Dyna. 

    +

    136 extra_long_header: bool 

    +

    137 If header was longer than default. 

    +

    138 n_dimensions: int 

    +

    139 Number of dimensions, usually three. 

    +

    140 n_global_vars: int 

    +

    141 How many global vars for each state. 

    +

    142 n_adapted_element_pairs: int 

    +

    143 How many adapted element pairs. 

    +

    144 has_node_deletion_data: bool 

    +

    145 If node deletion data is present. 

    +

    146 has_element_deletion_data: bool 

    +

    147 If element deletion data is present. 

    +

    148 has_numbering_section: bool 

    +

    149 If a user numbering section is present. 

    +

    150 has_material_type_section: bool 

    +

    151 If material type section was written. 

    +

    152 n_numbering_section_words: int 

    +

    153 Amount of words for numbering section. 

    +

    154 has_invariant_numbering: bool 

    +

    155 If invariant numbering is used whatever that means. 

    +

    156 quadratic_elems_has_full_connectivity: bool 

    +

    157 If quadric elements have full connectivity. 

    +

    158 quadratic_elems_has_data_at_integration_points: bool 

    +

    159 If quadric elements data is at integration points. 

    +

    160 n_post_branches: int 

    +

    161 Unused and unknown. 

    +

    162 n_types: Tuple[int, ...] 

    +

    163 Behind geometry these are integers indicating additional data such as 

    +

    164 part names. 

    +

    165 n_parts: int 

    +

    166 Obviously number of parts. 

    +

    167 n_nodes: int 

    +

    168 Number of nodes. 

    +

    169 has_node_temperatures: bool 

    +

    170 If node temperature is present. 

    +

    171 has_node_temperature_layers: bool 

    +

    172 If node temperatures are layered. 

    +

    173 has_node_heat_flux: bool 

    +

    174 If node heat flux is present. 

    +

    175 has_node_mass_scaling: bool 

    +

    176 Mass scaling is written. 

    +

    177 has_node_displacement: bool 

    +

    178 Node displacement is written. 

    +

    179 has_node_velocity: bool 

    +

    180 Node velocity is written. 

    +

    181 has_node_acceleration: bool 

    +

    182 Node acceleration is written. 

    +

    183 has_node_temperature_gradient: bool 

    +

    184 Node temperature gradient is written. 

    +

    185 has_node_residual_forces: bool 

    +

    186 Node residual forces are written. 

    +

    187 has_node_residual_moments: bool 

    +

    188 Node residual moments are written. 

    +

    189 has_node_max_contact_penetration_absolute: bool 

    +

    190 Node contact penetration info exist. 

    +

    191 has_node_max_contact_penetration_relative: bool 

    +

    192 Node relative contact penetration info was written. 

    +

    193 has_node_contact_energy_density: int 

    +

    194 Node energy density was written. 

    +

    195 n_shell_tshell_layers: int 

    +

    196 Number of layers for shells and thick shells. 

    +

    197 n_shell_tshell_history_vars: int 

    +

    198 Number of history vars for shells and thick shells. 

    +

    199 has_shell_tshell_stress: bool 

    +

    200 If shells and thick shells have stresses. 

    +

    201 has_shell_tshell_pstrain: bool 

    +

    202 If shells and thick shells have eff. plastic strain. 

    +

    203 has_element_strain: bool 

    +

    204 If all elements have strain. 

    +

    205 has_solid_shell_plastic_strain_tensor: bool 

    +

    206 If solids have plastic strain tensor. 

    +

    207 has_solid_shell_thermal_strain_tensor: bool 

    +

    208 If solids have thermal strain tensor. 

    +

    209 n_solids: int 

    +

    210 Number of solids. 

    +

    211 n_solid_vars: int 

    +

    212 Number of solid variables per element and state. 

    +

    213 n_solid_materials: int 

    +

    214 Number of solid materials/parts. 

    +

    215 n_solid_history_vars: int 

    +

    216 Number of solid history variables. 

    +

    217 n_solid_thermal_vars: int 

    +

    218 Number of solid thermal variables. 

    +

    219 n_solids_20_node_hexas: int 

    +

    220 Number of 20-node solid hexas. 

    +

    221 n_solids_27_node_hexas: int 

    +

    222 Number of 27-node solid hexas. 

    +

    223 n_solids_21_node_pentas: int 

    +

    224 Number of 21-node solid pentas. 

    +

    225 n_solids_15_node_tetras: int 

    +

    226 Number of 15-node solid tetras. 

    +

    227 n_solids_20_node_tetras: int 

    +

    228 Number of 20-node solid tetras. 

    +

    229 n_solids_40_node_pentas: int 

    +

    230 Number of 40-node solid pentas. 

    +

    231 n_solids_64_node_hexas: int 

    +

    232 Number of 64-node solid hexas. 

    +

    233 has_solid_2_extra_nodes: bool 

    +

    234 If two extra nodes were written for solids. 

    +

    235 has_solid_stress: bool 

    +

    236 If solid stress is present. 

    +

    237 has_solid_pstrain: bool 

    +

    238 If solid eff. plastic strain is present. 

    +

    239 has_quadratic_solids: bool 

    +

    240 If quadratic solids were used. 

    +

    241 has_cubic_solids: bool 

    +

    242 If cubic solids were used. 

    +

    243 has_solid_internal_energy_density: bool 

    +

    244 If solids have internal energy density. 

    +

    245 n_solid_layers: int 

    +

    246 Number of solid layers. 

    +

    247 n_shells: int 

    +

    248 Number of shells. 

    +

    249 n_shell_vars: int 

    +

    250 Number of shell vars per element and state. 

    +

    251 n_shell_materials: int 

    +

    252 Number of shell materials/parts. 

    +

    253 n_shells_8_nodes: int 

    +

    254 Number of 8-node shells. 

    +

    255 has_shell_four_inplane_gauss_points: bool 

    +

    256 If shells have four inplace gaussian integration points. 

    +

    257 has_shell_forces: bool 

    +

    258 If shell forces are present. 

    +

    259 has_shell_extra_variables: bool 

    +

    260 If extra shell variables such as forces are present. 

    +

    261 has_shell_internal_energy_density: bool 

    +

    262 If shell internal energy density is present. 

    +

    263 n_thick_shells: int 

    +

    264 Number of thick shell elements. 

    +

    265 n_thick_shell_vars: int 

    +

    266 Number of thick shell element vars. 

    +

    267 n_thick_shell_materials: int 

    +

    268 Number of thick shell materials/parts. 

    +

    269 has_thick_shell_energy_density: bool 

    +

    270 If thick shells have energy density. 

    +

    271 thick_shell_energy_density_position: int 

    +

    272 Nnused. 

    +

    273 n_beams: int 

    +

    274 Number of beam elements. 

    +

    275 n_beam_vars: int 

    +

    276 Number of state variables per beam element. 

    +

    277 n_beam_materials: int 

    +

    278 Number of beam materials. 

    +

    279 n_beam_history_vars: int 

    +

    280 Number of beam history variables. 

    +

    281 n_airbags: int 

    +

    282 Number of airbags. 

    +

    283 has_airbag_n_chambers: bool 

    +

    284 If airbags have number of chambers var. 

    +

    285 has_rigid_road_surface: bool 

    +

    286 If rigid road surface was written. 

    +

    287 has_rigid_body_data: bool 

    +

    288 If rigid body section was written. 

    +

    289 has_reduced_rigid_body_data: bool 

    +

    290 If the reduced set of rigid body data was written. 

    +

    291 n_rigid_wall_vars: int 

    +

    292 Number of rigid wall vars. 

    +

    293 n_sph_nodes: int 

    +

    294 Number of sph nodes. 

    +

    295 n_sph_materials: int 

    +

    296 Number of sph materials. 

    +

    297 n_ale_materials: int 

    +

    298 Number of ale materials. 

    +

    299 n_ale_fluid_groups: int 

    +

    300 Number of ale fluid groups. 

    +

    301 has_cfd_data: bool 

    +

    302 If CFD-Data was written. 

    +

    303 has_multi_solver_data: bool 

    +

    304 If multi-solver data was written. 

    +

    305 cfd_extra_data: int 

    +

    306 If cfd data contains extra section. 

    +

    307 legacy_code_type: int 

    +

    308 Originally a code indicator but unused nowadays. 

    +

    309 unused_numst: int 

    +

    310 Unused and not explained in docs. 

    +

    311 """ 

    +

    312 

    +

    313 # meta 

    +

    314 filepath: str = "" 

    +

    315 

    +

    316 # file info 

    +

    317 itype: np.dtype = np.int32 

    +

    318 ftype: np.dtype = np.float32 

    +

    319 wordsize: int = 4 

    +

    320 raw_header: Dict[str, Any] = {} 

    +

    321 external_numbers_dtype = np.int32 

    +

    322 n_header_bytes: int = 0 

    +

    323 

    +

    324 # header 

    +

    325 title: str = "" 

    +

    326 title2: str = "" 

    +

    327 runtime: int = 0 

    +

    328 filetype: D3plotFiletype = D3plotFiletype.D3PLOT 

    +

    329 

    +

    330 source_version: int = 0 

    +

    331 release_version: str = "" 

    +

    332 version: float = 0.0 

    +

    333 extra_long_header: bool = False 

    +

    334 

    +

    335 # general info 

    +

    336 n_dimensions: int = 3 

    +

    337 n_global_vars: int = 0 

    +

    338 n_adapted_element_pairs: int = 0 

    +

    339 has_node_deletion_data: bool = False 

    +

    340 has_element_deletion_data: bool = False 

    +

    341 has_numbering_section: bool = False 

    +

    342 has_material_type_section: bool = False 

    +

    343 n_numbering_section_words: int = 0 

    +

    344 has_invariant_numbering: bool = False 

    +

    345 quadratic_elems_has_full_connectivity: bool = False 

    +

    346 quadratic_elems_has_data_at_integration_points: bool = False 

    +

    347 n_post_branches: int = 0 

    +

    348 n_types: Tuple[int, ...] = tuple() 

    +

    349 

    +

    350 # parts 

    +

    351 n_parts: int = 0 

    +

    352 

    +

    353 # nodes 

    +

    354 n_nodes: int = 0 

    +

    355 has_node_temperatures: bool = False 

    +

    356 has_node_temperature_layers: bool = False 

    +

    357 has_node_heat_flux: bool = False 

    +

    358 has_node_mass_scaling: bool = False 

    +

    359 has_node_displacement: bool = False 

    +

    360 has_node_velocity: bool = False 

    +

    361 has_node_acceleration: bool = False 

    +

    362 has_node_temperature_gradient: bool = False 

    +

    363 has_node_residual_forces: bool = False 

    +

    364 has_node_residual_moments: bool = False 

    +

    365 has_node_max_contact_penetration_absolute: bool = False 

    +

    366 has_node_max_contact_penetration_relative: bool = False 

    +

    367 has_node_contact_energy_density: int = False 

    +

    368 

    +

    369 # elements 

    +

    370 n_shell_tshell_layers: int = 3 

    +

    371 n_shell_tshell_history_vars: int = 0 

    +

    372 has_shell_tshell_stress: bool = False 

    +

    373 has_shell_tshell_pstrain: bool = False 

    +

    374 has_element_strain: bool = False 

    +

    375 has_solid_shell_plastic_strain_tensor: bool = False 

    +

    376 has_solid_shell_thermal_strain_tensor: bool = False 

    +

    377 

    +

    378 # solids 

    +

    379 n_solids: int = 0 

    +

    380 n_solid_vars: int = 0 

    +

    381 n_solid_materials: int = 0 

    +

    382 n_solid_history_vars: int = 0 

    +

    383 n_solid_thermal_vars: int = 0 

    +

    384 n_solids_20_node_hexas: int = 0 

    +

    385 n_solids_27_node_hexas: int = 0 

    +

    386 n_solids_21_node_pentas: int = 0 

    +

    387 n_solids_15_node_tetras: int = 0 

    +

    388 n_solids_20_node_tetras: int = 0 

    +

    389 n_solids_40_node_pentas: int = 0 

    +

    390 n_solids_64_node_hexas: int = 0 

    +

    391 has_solid_2_extra_nodes: bool = False 

    +

    392 has_solid_stress: bool = False 

    +

    393 has_solid_pstrain: bool = False 

    +

    394 has_quadratic_solids: bool = False 

    +

    395 has_cubic_solids: bool = False 

    +

    396 has_solid_internal_energy_density: bool = False 

    +

    397 

    +

    398 # shells 

    +

    399 n_shells: int = 0 

    +

    400 n_shell_vars: int = 0 

    +

    401 n_shell_materials: int = 0 

    +

    402 n_shells_8_nodes: int = 0 

    +

    403 has_shell_four_inplane_gauss_points: bool = False 

    +

    404 has_shell_forces: bool = False 

    +

    405 has_shell_extra_variables: bool = False 

    +

    406 has_shell_internal_energy_density: bool = False 

    +

    407 # has_shell_internal_energy: bool = False 

    +

    408 

    +

    409 # thick shells 

    +

    410 n_thick_shells: int = 0 

    +

    411 n_thick_shell_vars: int = 0 

    +

    412 n_thick_shell_materials: int = 0 

    +

    413 has_thick_shell_energy_density: bool = False 

    +

    414 thick_shell_energy_density_position: int = 0 

    +

    415 

    +

    416 # beams 

    +

    417 n_beams: int = 0 

    +

    418 n_beam_vars: int = 0 

    +

    419 n_beam_materials: int = 0 

    +

    420 n_beam_history_vars: int = 0 

    +

    421 

    +

    422 # airbags 

    +

    423 n_airbags: int = 0 

    +

    424 has_airbag_n_chambers: bool = False 

    +

    425 

    +

    426 # rigid roads 

    +

    427 has_rigid_road_surface: bool = False 

    +

    428 

    +

    429 # rigid bodies 

    +

    430 has_rigid_body_data: bool = False 

    +

    431 has_reduced_rigid_body_data: bool = False 

    +

    432 

    +

    433 # sph 

    +

    434 n_sph_nodes: int = 0 

    +

    435 n_sph_materials: int = 0 

    +

    436 

    +

    437 # ale 

    +

    438 n_ale_materials: int = 0 

    +

    439 n_ale_fluid_groups: int = 0 

    +

    440 

    +

    441 # cfd 

    +

    442 has_cfd_data: bool = False 

    +

    443 

    +

    444 # multi-solver 

    +

    445 has_multi_solver_data: bool = False 

    +

    446 cfd_extra_data: int = 0 

    +

    447 

    +

    448 # historical artifacts 

    +

    449 legacy_code_type: int = 6 

    +

    450 unused_numst: int = 0 

    +

    451 

    +

    452 def __init__(self, filepath: Union[str, BinaryBuffer, None] = None): 

    +

    453 """Create a D3plotHeader instance 

    +

    454 

    +

    455 Parameters 

    +

    456 ---------- 

    +

    457 filepath: Union[str, BinaryBuffer, None] 

    +

    458 path to a d3plot file or a buffer holding d3plot memory 

    +

    459 

    +

    460 Returns 

    +

    461 ------- 

    +

    462 header: D3plotHeader 

    +

    463 d3plot header instance 

    +

    464 

    +

    465 Examples 

    +

    466 -------- 

    +

    467 Create an empty header file 

    +

    468 

    +

    469 >>> header = D3plotHeader() 

    +

    470 

    +

    471 Now load only the header of a d3plot. 

    +

    472 

    +

    473 >>> header.load_file("path/to/d3plot") 

    +

    474 

    +

    475 Or we can do the above together. 

    +

    476 

    +

    477 >>> header = D3plotHeader("path/to/d3plot") 

    +

    478 

    +

    479 Notes 

    +

    480 ----- 

    +

    481 This class does not load the entire memory of a d3plot 

    +

    482 but merely what is required to parse the header information. 

    +

    483 Thus, it is safe to use on big files. 

    +

    484 """ 

    +

    485 

    +

    486 if filepath is not None: 

    +

    487 self.load_file(filepath) 

    +

    488 

    +

    489 def print(self) -> None: 

    +

    490 """Print the header""" 

    +

    491 rich.print(self.__dict__) 

    +

    492 

    +

    493 def _read_file_buffer(self, filepath: str) -> BinaryBuffer: 

    +

    494 """Reads a d3plots header 

    +

    495 

    +

    496 Parameters 

    +

    497 ---------- 

    +

    498 filepath: str 

    +

    499 path to d3plot 

    +

    500 

    +

    501 Returns 

    +

    502 ------- 

    +

    503 bb: BinaryBuffer 

    +

    504 buffer holding the exact header data in binary form 

    +

    505 """ 

    +

    506 

    +

    507 LOGGER.debug("_read_file_buffer start") 

    +

    508 LOGGER.debug("filepath: %s", filepath) 

    +

    509 

    +

    510 # load first 64 single words 

    +

    511 n_words_header = 64 

    +

    512 n_bytes_hdr_guessed = 64 * self.wordsize 

    +

    513 bb = BinaryBuffer(filepath, n_bytes_hdr_guessed) 

    +

    514 

    +

    515 # check if single or double 

    +

    516 self.wordsize, self.itype, self.ftype = self._determine_file_settings(bb) 

    +

    517 

    +

    518 # Oops, seems other wordsize is used 

    +

    519 if self.wordsize != D3plotHeader.wordsize: 

    +

    520 bb = BinaryBuffer(filepath, n_words_header * self.wordsize) 

    +

    521 

    +

    522 # check for extra long header 

    +

    523 n_header_bytes = self._determine_n_bytes(bb, self.wordsize) 

    +

    524 if len(bb) <= n_header_bytes: 

    +

    525 bb = BinaryBuffer(filepath, n_bytes=n_header_bytes) 

    +

    526 

    +

    527 LOGGER.debug("_read_file_buffer end") 

    +

    528 

    +

    529 return bb 

    +

    530 

    +

    531 def _determine_n_bytes(self, bb: BinaryBuffer, wordsize: int) -> int: 

    +

    532 """Determines how many bytes the header has 

    +

    533 

    +

    534 Returns 

    +

    535 ------- 

    +

    536 size: int 

    +

    537 size of the header in bytes 

    +

    538 """ 

    +

    539 

    +

    540 LOGGER.debug("_determine_n_bytes start") 

    +

    541 

    +

    542 n_base_words = 64 

    +

    543 min_n_bytes = n_base_words * wordsize 

    +

    544 

    +

    545 if len(bb) < n_base_words * wordsize: 

    +

    546 err_msg = "File or file buffer must have at least '{0}' bytes instead of '{1}'" 

    +

    547 raise RuntimeError(err_msg.format(min_n_bytes, len(bb))) 

    +

    548 

    +

    549 n_extra_header_words = int(bb.read_number(57 * self.wordsize, self.itype)) 

    +

    550 

    +

    551 LOGGER.debug("_determine_n_bytes end") 

    +

    552 

    +

    553 return (n_base_words + n_extra_header_words) * wordsize 

    +

    554 

    +

    555 def load_file(self, file: Union[str, BinaryBuffer]) -> "D3plotHeader": 

    +

    556 """Load d3plot header from a d3plot file 

    +

    557 

    +

    558 Parameters 

    +

    559 ---------- 

    +

    560 file: Union[str, BinaryBuffer] 

    +

    561 path to d3plot or `BinaryBuffer` holding memory of d3plot 

    +

    562 

    +

    563 Returns 

    +

    564 ------- 

    +

    565 self: D3plotHeader 

    +

    566 returning self on success 

    +

    567 

    +

    568 Notes 

    +

    569 ----- 

    +

    570 This routine only loads the minimal amount of data 

    +

    571 that is neccessary. Thus it is safe to use on huge files. 

    +

    572 

    +

    573 Examples 

    +

    574 -------- 

    +

    575 >>> header = D3plotHeader().load_file("path/to/d3plot") 

    +

    576 >>> header.n_shells 

    +

    577 19684 

    +

    578 """ 

    +

    579 

    +

    580 # pylint: disable = too-many-locals, too-many-branches, too-many-statements 

    +

    581 

    +

    582 LOGGER.debug("_load_file start") 

    +

    583 LOGGER.debug("file: %s", file) 

    +

    584 

    +

    585 if not isinstance(file, (str, BinaryBuffer)): 

    +

    586 err_msg = "Argument 'file' must have type 'str' or 'lasso.io.BinaryBuffer'." 

    +

    587 raise ValueError(err_msg) 

    +

    588 

    +

    589 # get the memory 

    +

    590 if isinstance(file, str): 

    +

    591 bb = self._read_file_buffer(file) 

    +

    592 self.n_header_bytes = len(bb) 

    +

    593 else: 

    +

    594 bb = file 

    +

    595 self.wordsize, self.itype, self.ftype = self._determine_file_settings(bb) 

    +

    596 self.n_header_bytes = self._determine_n_bytes(bb, self.wordsize) 

    +

    597 

    +

    598 LOGGER.debug("n_header_bytes: %d", self.n_header_bytes) 

    +

    599 

    +

    600 # read header 

    +

    601 header_words = { 

    +

    602 "title": [0 * self.wordsize, str, 9 * self.wordsize], 

    +

    603 "runtime": [10 * self.wordsize, self.itype], 

    +

    604 "filetype": [11 * self.wordsize, self.itype], 

    +

    605 "source_version": [12 * self.wordsize, self.itype], 

    +

    606 "release_version": [13 * self.wordsize, str, 1 * self.wordsize], 

    +

    607 "version": [14 * self.wordsize, self.ftype], 

    +

    608 "ndim": [15 * self.wordsize, self.itype], 

    +

    609 "numnp": [16 * self.wordsize, self.itype], 

    +

    610 "icode": [17 * self.wordsize, self.itype], 

    +

    611 "nglbv": [18 * self.wordsize, self.itype], 

    +

    612 "it": [19 * self.wordsize, self.itype], 

    +

    613 "iu": [20 * self.wordsize, self.itype], 

    +

    614 "iv": [21 * self.wordsize, self.itype], 

    +

    615 "ia": [22 * self.wordsize, self.itype], 

    +

    616 "nel8": [23 * self.wordsize, self.itype], 

    +

    617 "nummat8": [24 * self.wordsize, self.itype], 

    +

    618 "numds": [25 * self.wordsize, self.itype], 

    +

    619 "numst": [26 * self.wordsize, self.itype], 

    +

    620 "nv3d": [27 * self.wordsize, self.itype], 

    +

    621 "nel2": [28 * self.wordsize, self.itype], 

    +

    622 "nummat2": [29 * self.wordsize, self.itype], 

    +

    623 "nv1d": [30 * self.wordsize, self.itype], 

    +

    624 "nel4": [31 * self.wordsize, self.itype], 

    +

    625 "nummat4": [32 * self.wordsize, self.itype], 

    +

    626 "nv2d": [33 * self.wordsize, self.itype], 

    +

    627 "neiph": [34 * self.wordsize, self.itype], 

    +

    628 "neips": [35 * self.wordsize, self.itype], 

    +

    629 "maxint": [36 * self.wordsize, self.itype], 

    +

    630 "nmsph": [37 * self.wordsize, self.itype], 

    +

    631 "ngpsph": [38 * self.wordsize, self.itype], 

    +

    632 "narbs": [39 * self.wordsize, self.itype], 

    +

    633 "nelt": [40 * self.wordsize, self.itype], 

    +

    634 "nummatt": [41 * self.wordsize, self.itype], 

    +

    635 "nv3dt": [42 * self.wordsize, self.itype], 

    +

    636 "ioshl1": [43 * self.wordsize, self.itype], 

    +

    637 "ioshl2": [44 * self.wordsize, self.itype], 

    +

    638 "ioshl3": [45 * self.wordsize, self.itype], 

    +

    639 "ioshl4": [46 * self.wordsize, self.itype], 

    +

    640 "ialemat": [47 * self.wordsize, self.itype], 

    +

    641 "ncfdv1": [48 * self.wordsize, self.itype], 

    +

    642 "ncfdv2": [49 * self.wordsize, self.itype], 

    +

    643 "nadapt": [50 * self.wordsize, self.itype], 

    +

    644 "nmmat": [51 * self.wordsize, self.itype], 

    +

    645 "numfluid": [52 * self.wordsize, self.itype], 

    +

    646 "inn": [53 * self.wordsize, self.itype], 

    +

    647 "npefg": [54 * self.wordsize, self.itype], 

    +

    648 "nel48": [55 * self.wordsize, self.itype], 

    +

    649 "idtdt": [56 * self.wordsize, self.itype], 

    +

    650 "extra": [57 * self.wordsize, self.itype], 

    +

    651 } 

    +

    652 

    +

    653 header_extra_words = { 

    +

    654 "nel20": [64 * self.wordsize, self.itype], 

    +

    655 "nt3d": [65 * self.wordsize, self.itype], 

    +

    656 "nel27": [66 * self.wordsize, self.itype], 

    +

    657 "neipb": [67 * self.wordsize, self.itype], 

    +

    658 "nel21p": [68 * self.wordsize, self.itype], 

    +

    659 "nel15t": [69 * self.wordsize, self.itype], 

    +

    660 "soleng": [70 * self.wordsize, self.itype], 

    +

    661 "nel20t": [71 * self.wordsize, self.itype], 

    +

    662 "nel40p": [72 * self.wordsize, self.itype], 

    +

    663 "nel64": [73 * self.wordsize, self.itype], 

    +

    664 "quadr": [74 * self.wordsize, self.itype], 

    +

    665 "cubic": [75 * self.wordsize, self.itype], 

    +

    666 "tsheng": [76 * self.wordsize, self.itype], 

    +

    667 "nbranch": [77 * self.wordsize, self.itype], 

    +

    668 "penout": [78 * self.wordsize, self.itype], 

    +

    669 "engout": [79 * self.wordsize, self.itype], 

    +

    670 } 

    +

    671 

    +

    672 # read header for real 

    +

    673 self.raw_header = self.read_words(bb, header_words) 

    +

    674 

    +

    675 if self.raw_header["extra"] != 0: 

    +

    676 self.read_words(bb, header_extra_words, self.raw_header) 

    +

    677 else: 

    +

    678 for name, (_, dtype) in header_extra_words.items(): 

    +

    679 self.raw_header[name] = dtype() 

    +

    680 

    +

    681 # PARSE HEADER (no fun ahead) 

    +

    682 if isinstance(file, str): 

    +

    683 self.filepath = file 

    +

    684 elif isinstance(file, BinaryBuffer): 

    +

    685 if isinstance(file.filepath_, str): 

    +

    686 self.filepath = file.filepath_ 

    +

    687 elif isinstance(file.filepath_, list) and len(file.filepath_) > 0: 

    +

    688 self.filepath = file.filepath_[0] 

    +

    689 

    +

    690 self.title = self.raw_header["title"].strip() 

    +

    691 self.runtime = self.raw_header["runtime"] 

    +

    692 

    +

    693 # filetype 

    +

    694 filetype = self.raw_header["filetype"] 

    +

    695 if filetype > 1000: 

    +

    696 filetype -= 1000 

    +

    697 self.external_numbers_dtype = np.int64 

    +

    698 else: 

    +

    699 self.external_numbers_dtype = np.int32 

    +

    700 

    +

    701 self.filetype = d3plot_filetype_from_integer(filetype) 

    +

    702 

    +

    703 self.source_version = self.raw_header["source_version"] 

    +

    704 self.release_version = self.raw_header["release_version"] # .split("\0", 1)[0] 

    +

    705 self.version = self.raw_header["version"] 

    +

    706 

    +

    707 # ndim 

    +

    708 ndim = self.raw_header["ndim"] 

    +

    709 if ndim in (5, 7): 

    +

    710 self.has_material_type_section = True 

    +

    711 ndim = 3 

    +

    712 # self.raw_header['elem_connectivity_unpacked'] = True 

    +

    713 if ndim == 4: 

    +

    714 ndim = 3 

    +

    715 # self.raw_header['elem_connectivity_unpacked'] = True 

    +

    716 if 5 < ndim < 8: 

    +

    717 ndim = 3 

    +

    718 self.has_rigid_road_surface = True 

    +

    719 if ndim in (8, 9): 

    +

    720 ndim = 3 

    +

    721 self.has_rigid_body_data = True 

    +

    722 if self.raw_header["ndim"] == 9: 

    +

    723 self.has_rigid_road_surface = True 

    +

    724 self.has_reduced_rigid_body_data = True 

    +

    725 if ndim not in (2, 3): 

    +

    726 raise RuntimeError(f"Invalid header entry ndim: {self.raw_header['ndim']}") 

    +

    727 

    +

    728 self.n_nodes = self.raw_header["numnp"] 

    +

    729 self.legacy_code_type = self.raw_header["icode"] 

    +

    730 self.n_global_vars = self.raw_header["nglbv"] 

    +

    731 

    +

    732 # it 

    +

    733 # - mass scaling 

    +

    734 # - node temperature 

    +

    735 # - node heat flux 

    +

    736 if get_digit(self.raw_header["it"], 1) == 1: 

    +

    737 self.has_node_mass_scaling = True 

    +

    738 it_first_digit = get_digit(self.raw_header["it"], 0) 

    +

    739 if it_first_digit == 1: 

    +

    740 self.has_node_temperatures = True 

    +

    741 elif it_first_digit == 2: 

    +

    742 self.has_node_temperatures = True 

    +

    743 self.has_node_heat_flux = True 

    +

    744 elif it_first_digit == 3: 

    +

    745 self.has_node_temperatures = True 

    +

    746 self.has_node_heat_flux = True 

    +

    747 self.has_node_temperature_layers = True 

    +

    748 

    +

    749 # iu iv ia 

    +

    750 self.has_node_displacement = self.raw_header["iu"] != 0 

    +

    751 self.has_node_velocity = self.raw_header["iv"] != 0 

    +

    752 self.has_node_acceleration = self.raw_header["ia"] != 0 

    +

    753 

    +

    754 # nel8 

    +

    755 self.n_solids = abs(self.raw_header["nel8"]) 

    +

    756 if self.raw_header["nel8"] < 0: 

    +

    757 self.has_solid_2_extra_nodes = True 

    +

    758 

    +

    759 # nummat8 

    +

    760 self.n_solid_materials = self.raw_header["nummat8"] 

    +

    761 

    +

    762 # numds 

    +

    763 self.has_shell_four_inplane_gauss_points = self.raw_header["numds"] < 0 

    +

    764 

    +

    765 # numst 

    +

    766 self.unused_numst = self.raw_header["numst"] 

    +

    767 

    +

    768 # nv3d 

    +

    769 self.n_solid_vars = self.raw_header["nv3d"] 

    +

    770 

    +

    771 # nel2 

    +

    772 self.n_beams = self.raw_header["nel2"] 

    +

    773 

    +

    774 # nummat2 

    +

    775 self.n_beam_materials = self.raw_header["nummat2"] 

    +

    776 

    +

    777 # nv1d 

    +

    778 self.n_beam_vars = self.raw_header["nv1d"] 

    +

    779 

    +

    780 # nel4 

    +

    781 self.n_shells = self.raw_header["nel4"] 

    +

    782 

    +

    783 # nummat4 

    +

    784 self.n_shell_materials = self.raw_header["nummat4"] 

    +

    785 

    +

    786 # nv2d 

    +

    787 self.n_shell_vars = self.raw_header["nv2d"] 

    +

    788 

    +

    789 # neiph 

    +

    790 self.n_solid_history_vars = self.raw_header["neiph"] 

    +

    791 

    +

    792 # neips 

    +

    793 self.n_shell_tshell_history_vars = self.raw_header["neips"] 

    +

    794 

    +

    795 # maxint 

    +

    796 maxint = self.raw_header["maxint"] 

    +

    797 if maxint > 0: 

    +

    798 self.n_shell_tshell_layers = maxint 

    +

    799 elif maxint <= -10000: 

    +

    800 self.has_element_deletion_data = True 

    +

    801 self.n_shell_tshell_layers = abs(maxint) - 10000 

    +

    802 elif maxint < 0: 

    +

    803 self.has_node_deletion_data = True 

    +

    804 self.n_shell_tshell_layers = abs(maxint) 

    +

    805 

    +

    806 # nmsph 

    +

    807 self.n_sph_nodes = self.raw_header["nmsph"] 

    +

    808 

    +

    809 # ngpsph 

    +

    810 self.n_sph_materials = self.raw_header["ngpsph"] 

    +

    811 

    +

    812 # narbs 

    +

    813 self.has_numbering_section = self.raw_header["narbs"] != 0 

    +

    814 self.n_numbering_section_words = self.raw_header["narbs"] 

    +

    815 

    +

    816 # nelt 

    +

    817 self.n_thick_shells = self.raw_header["nelt"] 

    +

    818 

    +

    819 # nummatth 

    +

    820 self.n_thick_shell_materials = self.raw_header["nummatt"] 

    +

    821 

    +

    822 # nv3dt 

    +

    823 self.n_thick_shell_vars = self.raw_header["nv3dt"] 

    +

    824 

    +

    825 # ioshl1 

    +

    826 if self.raw_header["ioshl1"] == 1000: 

    +

    827 self.has_shell_tshell_stress = True 

    +

    828 self.has_solid_stress = True 

    +

    829 elif self.raw_header["ioshl1"] == 999: 

    +

    830 self.has_solid_stress = True 

    +

    831 

    +

    832 # ioshl2 

    +

    833 if self.raw_header["ioshl2"] == 1000: 

    +

    834 self.has_shell_tshell_pstrain = True 

    +

    835 self.has_solid_pstrain = True 

    +

    836 elif self.raw_header["ioshl2"] == 999: 

    +

    837 self.has_solid_pstrain = True 

    +

    838 

    +

    839 # ioshl3 

    +

    840 self.has_shell_forces = self.raw_header["ioshl3"] == 1000 

    +

    841 

    +

    842 # ioshl4 

    +

    843 self.has_shell_extra_variables = self.raw_header["ioshl4"] == 1000 

    +

    844 

    +

    845 # ialemat 

    +

    846 self.n_ale_materials = self.raw_header["ialemat"] 

    +

    847 

    +

    848 # ncfdv1 

    +

    849 ncfdv1 = self.raw_header["ncfdv1"] 

    +

    850 if ncfdv1 == 67108864: 

    +

    851 self.has_multi_solver_data = True 

    +

    852 elif ncfdv1 != 0: 

    +

    853 self.has_cfd_data = True 

    +

    854 

    +

    855 # ncfdv2 

    +

    856 # unused 

    +

    857 

    +

    858 # nadapt 

    +

    859 self.n_adapted_element_pairs = self.raw_header["nadapt"] 

    +

    860 

    +

    861 # nmmat 

    +

    862 self.n_parts = self.raw_header["nmmat"] 

    +

    863 

    +

    864 # numfluid 

    +

    865 self.n_ale_fluid_groups = self.raw_header["numfluid"] 

    +

    866 

    +

    867 # inn 

    +

    868 self.has_invariant_numbering = self.raw_header["inn"] != 0 

    +

    869 

    +

    870 # nepfg 

    +

    871 npefg = self.raw_header["npefg"] 

    +

    872 self.n_airbags = npefg % 1000 

    +

    873 self.has_airbag_n_chambers = npefg // 1000 == 4 

    +

    874 

    +

    875 # nel48 

    +

    876 self.n_shells_8_nodes = self.raw_header["nel48"] 

    +

    877 

    +

    878 # idtdt 

    +

    879 self.has_node_temperature_gradient = get_digit(self.raw_header["idtdt"], 0) == 1 

    +

    880 self.has_node_residual_forces = get_digit(self.raw_header["idtdt"], 1) == 1 

    +

    881 self.has_node_residual_moments = self.has_node_residual_forces 

    +

    882 self.has_solid_shell_plastic_strain_tensor = get_digit(self.raw_header["idtdt"], 2) == 1 

    +

    883 self.has_solid_shell_thermal_strain_tensor = get_digit(self.raw_header["idtdt"], 3) == 1 

    +

    884 if self.raw_header["idtdt"] > 100: 

    +

    885 self.has_element_strain = get_digit(self.raw_header["idtdt"], 4) == 1 

    +

    886 else: 

    +

    887 # took a 1000 years to figure this out ... 

    +

    888 # Warning: 4 gaussian points are not considered 

    +

    889 if self.n_shell_vars > 0: 

    +

    890 if ( 

    +

    891 self.n_shell_vars 

    +

    892 - self.n_shell_tshell_layers 

    +

    893 * ( 

    +

    894 6 * self.has_shell_tshell_stress 

    +

    895 + self.has_shell_tshell_pstrain 

    +

    896 + self.n_shell_tshell_history_vars 

    +

    897 ) 

    +

    898 - 8 * self.has_shell_forces 

    +

    899 - 4 * self.has_shell_extra_variables 

    +

    900 ) > 1: 

    +

    901 self.has_element_strain = True 

    +

    902 # else: 

    +

    903 # self.has_element_strain = False 

    +

    904 elif self.n_thick_shell_vars > 0: 

    +

    905 if ( 

    +

    906 self.n_thick_shell_vars 

    +

    907 - self.n_shell_tshell_layers 

    +

    908 * ( 

    +

    909 6 * self.has_shell_tshell_stress 

    +

    910 + self.has_shell_tshell_pstrain 

    +

    911 + self.n_shell_tshell_history_vars 

    +

    912 ) 

    +

    913 ) > 1: 

    +

    914 self.has_element_strain = True 

    +

    915 # else: 

    +

    916 # self.has_element_strain = False 

    +

    917 # else: 

    +

    918 # self.has_element_strain = False 

    +

    919 

    +

    920 # internal energy 

    +

    921 # shell_vars_behind_layers = (self.n_shell_vars - 

    +

    922 # (self.n_shell_tshell_layers * ( 

    +

    923 # 6 * self.has_shell_tshell_stress + 

    +

    924 # self.has_shell_tshell_pstrain + 

    +

    925 # self.n_shell_tshell_history_vars) + 

    +

    926 # 8 * self.has_shell_forces 

    +

    927 # + 4 * self.has_shell_extra_variables)) 

    +

    928 

    +

    929 # if not self.has_element_strain: 

    +

    930 # if shell_vars_behind_layers > 1 and shell_vars_behind_layers < 6: 

    +

    931 # self.has_shell_internal_energy = True 

    +

    932 # else: 

    +

    933 # self.has_shell_internal_energy = False 

    +

    934 # elif self.has_element_strain: 

    +

    935 # if shell_vars_behind_layers > 12: 

    +

    936 # self.has_shell_internal_energy = True 

    +

    937 # else: 

    +

    938 # self.has_shell_internal_energy = False 

    +

    939 

    +

    940 # nel20 

    +

    941 if "nel20" in self.raw_header: 

    +

    942 self.n_solids_20_node_hexas = self.raw_header["nel20"] 

    +

    943 

    +

    944 # nt3d 

    +

    945 if "nt3d" in self.raw_header: 

    +

    946 self.n_solid_thermal_vars = self.raw_header["nt3d"] 

    +

    947 

    +

    948 # nel27 

    +

    949 if "nel27" in self.raw_header: 

    +

    950 self.n_solids_27_node_hexas = self.raw_header["nel27"] 

    +

    951 

    +

    952 # neipb 

    +

    953 if "neipb" in self.raw_header: 

    +

    954 self.n_beam_history_vars = self.raw_header["neipb"] 

    +

    955 

    +

    956 # nel21p 

    +

    957 if "nel21p" in self.raw_header: 

    +

    958 self.n_solids_21_node_pentas = self.raw_header["nel21p"] 

    +

    959 

    +

    960 # nel15t 

    +

    961 if "nel15t" in self.raw_header: 

    +

    962 self.n_solids_15_node_tetras = self.raw_header["nel15t"] 

    +

    963 

    +

    964 # soleng 

    +

    965 if "soleng" in self.raw_header: 

    +

    966 self.has_solid_internal_energy_density = self.raw_header["soleng"] 

    +

    967 

    +

    968 # nel20t 

    +

    969 if "nel20t" in self.raw_header: 

    +

    970 self.n_solids_20_node_tetras = self.raw_header["nel20t"] 

    +

    971 

    +

    972 # nel40p 

    +

    973 if "nel40p" in self.raw_header: 

    +

    974 self.n_solids_40_node_pentas = self.raw_header["nel40p"] 

    +

    975 

    +

    976 # nel64 

    +

    977 if "nel64" in self.raw_header: 

    +

    978 self.n_solids_64_node_hexas = self.raw_header["nel64"] 

    +

    979 

    +

    980 # quadr 

    +

    981 if "quadr" in self.raw_header: 

    +

    982 quadr = self.raw_header["quadr"] 

    +

    983 if quadr == 1: 

    +

    984 self.quadratic_elems_has_full_connectivity = True 

    +

    985 elif quadr == 2: 

    +

    986 self.quadratic_elems_has_full_connectivity = True 

    +

    987 self.quadratic_elems_has_data_at_integration_points = True 

    +

    988 

    +

    989 # cubic 

    +

    990 if "cubic" in self.raw_header: 

    +

    991 self.has_cubic_solids = self.raw_header["cubic"] != 0 

    +

    992 

    +

    993 # tsheng 

    +

    994 if "tsheng" in self.raw_header: 

    +

    995 self.has_thick_shell_energy_density = self.raw_header["tsheng"] != 0 

    +

    996 

    +

    997 # nbranch 

    +

    998 if "nbranch" in self.raw_header: 

    +

    999 self.n_post_branches = self.raw_header["nbranch"] 

    +

    1000 

    +

    1001 # penout 

    +

    1002 if "penout" in self.raw_header: 

    +

    1003 penout = self.raw_header["penout"] 

    +

    1004 if penout == 1: 

    +

    1005 self.has_node_max_contact_penetration_absolute = True 

    +

    1006 if penout == 2: 

    +

    1007 self.has_node_max_contact_penetration_absolute = True 

    +

    1008 self.has_node_max_contact_penetration_relative = True 

    +

    1009 

    +

    1010 # engout 

    +

    1011 if "engout" in self.raw_header: 

    +

    1012 self.has_node_contact_energy_density = self.raw_header["engout"] == 1 

    +

    1013 

    +

    1014 return self 

    +

    1015 

    +

    1016 @property 

    +

    1017 def has_femzip_indicator(self) -> bool: 

    +

    1018 """If the femzip indicator can be found in the header 

    +

    1019 

    +

    1020 Notes 

    +

    1021 ----- 

    +

    1022 Only use on raw files. 

    +

    1023 

    +

    1024 If the header displays a femzip indicator then the file 

    +

    1025 is femzipped. If you load the femzip file as such then 

    +

    1026 this indicator will not be set, since femzip itself 

    +

    1027 corrects the indicator again. 

    +

    1028 """ 

    +

    1029 if "nmmat" in self.raw_header: 

    +

    1030 return self.raw_header["nmmat"] == 76_893_465 

    +

    1031 return False 

    +

    1032 

    +

    1033 @property 

    +

    1034 def n_rigid_wall_vars(self) -> int: 

    +

    1035 """number of rigid wall vars 

    +

    1036 

    +

    1037 Notes 

    +

    1038 ----- 

    +

    1039 Depends on lsdyna version. 

    +

    1040 """ 

    +

    1041 return 4 if self.version >= 971 else 1 

    +

    1042 

    +

    1043 @property 

    +

    1044 def n_solid_layers(self) -> int: 

    +

    1045 """number of solid layers 

    +

    1046 

    +

    1047 Returns 

    +

    1048 ------- 

    +

    1049 n_solid_layers: int 

    +

    1050 """ 

    +

    1051 n_solid_base_vars = ( 

    +

    1052 6 * self.has_solid_stress + self.has_solid_pstrain + self.n_solid_history_vars 

    +

    1053 ) 

    +

    1054 

    +

    1055 return 8 if self.n_solid_vars // max(n_solid_base_vars, 1) >= 8 else 1 

    +

    1056 

    +

    1057 def read_words(self, bb: BinaryBuffer, words_to_read: dict, storage_dict: dict = None): 

    +

    1058 """Read several words described by a dict 

    +

    1059 

    +

    1060 Parameters 

    +

    1061 ---------- 

    +

    1062 bb: BinaryBuffer 

    +

    1063 words_to_read: dict 

    +

    1064 this dict describes the words to be read. One entry 

    +

    1065 must be a tuple of len two (byte position and dtype) 

    +

    1066 storage_dict: dict 

    +

    1067 in this dict the read words will be saved 

    +

    1068 

    +

    1069 Returns 

    +

    1070 ------- 

    +

    1071 storage_dict: dict 

    +

    1072 the storage dict given as arg or a new dict if none was given 

    +

    1073 """ 

    +

    1074 

    +

    1075 if storage_dict is None: 

    +

    1076 storage_dict = {} 

    +

    1077 

    +

    1078 for name, data in words_to_read.items(): 

    +

    1079 

    +

    1080 # check buffer length 

    +

    1081 if data[0] >= len(bb): 

    +

    1082 continue 

    +

    1083 

    +

    1084 # read data 

    +

    1085 if data[1] == self.itype: 

    +

    1086 storage_dict[name] = int(bb.read_number(data[0], data[1])) 

    +

    1087 elif data[1] == self.ftype: 

    +

    1088 storage_dict[name] = float(bb.read_number(data[0], data[1])) 

    +

    1089 elif data[1] == str: 

    +

    1090 try: 

    +

    1091 storage_dict[name] = bb.read_text(data[0], data[2]) 

    +

    1092 except UnicodeDecodeError: 

    +

    1093 storage_dict[name] = "" 

    +

    1094 

    +

    1095 else: 

    +

    1096 raise RuntimeError(f"Encountered unknown dtype {str(data[1])} during reading.") 

    +

    1097 

    +

    1098 return storage_dict 

    +

    1099 

    +

    1100 @staticmethod 

    +

    1101 def _determine_file_settings( 

    +

    1102 bb: Union[BinaryBuffer, None] = None 

    +

    1103 ) -> Tuple[int, Union[np.int32, np.int64], Union[np.float32, np.float64]]: 

    +

    1104 """Determine the precision of the file 

    +

    1105 

    +

    1106 Parameters 

    +

    1107 ---------- 

    +

    1108 bb: Union[BinaryBuffer, None] 

    +

    1109 binary buffer from the file 

    +

    1110 

    +

    1111 Returns 

    +

    1112 ------- 

    +

    1113 wordsize: int 

    +

    1114 size of each word in bytes 

    +

    1115 itype: np.dtype 

    +

    1116 type of integers 

    +

    1117 ftype: np.dtype 

    +

    1118 type of floats 

    +

    1119 """ 

    +

    1120 

    +

    1121 LOGGER.debug("_determine_file_settings") 

    +

    1122 

    +

    1123 word_size = 4 

    +

    1124 itype = np.int32 

    +

    1125 ftype = np.float32 

    +

    1126 

    +

    1127 # test file type flag (1=d3plot, 5=d3part, 11=d3eigv) 

    +

    1128 

    +

    1129 if isinstance(bb, BinaryBuffer): 

    +

    1130 

    +

    1131 # single precision 

    +

    1132 value = bb.read_number(44, np.int32) 

    +

    1133 if value > 1000: 

    +

    1134 value -= 1000 

    +

    1135 if value in ( 

    +

    1136 D3plotFiletype.D3PLOT.value, 

    +

    1137 D3plotFiletype.D3PART.value, 

    +

    1138 D3plotFiletype.D3EIGV.value, 

    +

    1139 ): 

    +

    1140 word_size = 4 

    +

    1141 itype = np.int32 

    +

    1142 ftype = np.float32 

    +

    1143 

    +

    1144 LOGGER.debug("wordsize=%d itype=%s ftype=%s", word_size, itype, ftype) 

    +

    1145 LOGGER.debug("_determine_file_settings end") 

    +

    1146 

    +

    1147 return word_size, itype, ftype 

    +

    1148 

    +

    1149 # double precision 

    +

    1150 value = bb.read_number(88, np.int64) 

    +

    1151 if value > 1000: 

    +

    1152 value -= 1000 

    +

    1153 if value in ( 

    +

    1154 D3plotFiletype.D3PLOT.value, 

    +

    1155 D3plotFiletype.D3PART.value, 

    +

    1156 D3plotFiletype.D3EIGV.value, 

    +

    1157 ): 

    +

    1158 word_size = 8 

    +

    1159 itype = np.int64 

    +

    1160 ftype = np.float64 

    +

    1161 

    +

    1162 LOGGER.debug("wordsize=%d itype=%s ftype=%s", word_size, itype, ftype) 

    +

    1163 LOGGER.debug("_determine_file_settings end") 

    +

    1164 

    +

    1165 return word_size, itype, ftype 

    +

    1166 

    +

    1167 raise RuntimeError(f"Unknown file type '{value}'.") 

    +

    1168 

    +

    1169 LOGGER.debug("wordsize=%d itype=%s ftype=%s", word_size, itype, ftype) 

    +

    1170 LOGGER.debug("_determine_file_settings end") 

    +

    1171 

    +

    1172 return word_size, itype, ftype 

    +

    1173 

    +

    1174 def compare(self, other: "D3plotHeader") -> Dict[str, Tuple[Any, Any]]: 

    +

    1175 """Compare two headers and get the differences 

    +

    1176 

    +

    1177 Parameters 

    +

    1178 ---------- 

    +

    1179 other: D3plotHeader 

    +

    1180 other d3plot header instance 

    +

    1181 

    +

    1182 Returns 

    +

    1183 ------- 

    +

    1184 differences: Dict[str, Tuple[Any, Any]] 

    +

    1185 The different entries of both headers in a dict 

    +

    1186 """ 

    +

    1187 assert isinstance(other, D3plotHeader) 

    +

    1188 

    +

    1189 differences = {} 

    +

    1190 names = {*self.raw_header.keys(), *other.raw_header.keys()} 

    +

    1191 for name in names: 

    +

    1192 value1 = self.raw_header[name] if name in self.raw_header else "missing" 

    +

    1193 value2 = other.raw_header[name] if name in self.raw_header else "missing" 

    +

    1194 if value1 != value2: 

    +

    1195 differences[name] = (value1, value2) 

    +

    1196 

    +

    1197 return differences 

    +
    + + + diff --git a/coverage/d_233c5ceebba6ed8d_d3plot_py.html b/coverage/d_233c5ceebba6ed8d_d3plot_py.html new file mode 100644 index 0000000..188933f --- /dev/null +++ b/coverage/d_233c5ceebba6ed8d_d3plot_py.html @@ -0,0 +1,9875 @@ + + + + + Coverage for lasso/dyna/d3plot.py: 50% + + + + + +
    +
    +

    + Coverage for lasso/dyna/d3plot.py: + 50% +

    + +

    + 3903 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import ctypes 

    +

    2from dataclasses import dataclass 

    +

    3import logging 

    +

    4import mmap 

    +

    5import os 

    +

    6import pprint 

    +

    7import re 

    +

    8import struct 

    +

    9import tempfile 

    +

    10import traceback 

    +

    11import typing 

    +

    12import webbrowser 

    +

    13from typing import Any, BinaryIO, Dict, Iterable, List, Set, Tuple, Union 

    +

    14 

    +

    15import numpy as np 

    +

    16 

    +

    17from ..femzip.femzip_api import FemzipAPI, FemzipBufferInfo, FemzipVariableCategory 

    +

    18from ..io.binary_buffer import BinaryBuffer 

    +

    19from ..io.files import open_file_or_filepath 

    +

    20from ..logging import get_logger 

    +

    21from ..plotting import plot_shell_mesh 

    +

    22from .array_type import ArrayType 

    +

    23from .d3plot_header import D3plotFiletype, D3plotHeader 

    +

    24from .femzip_mapper import FemzipMapper, filter_femzip_variables 

    +

    25from .filter_type import FilterType 

    +

    26 

    +

    27# pylint: disable = too-many-lines 

    +

    28 

    +

    29FORTRAN_OFFSET = 1 

    +

    30LOGGER = get_logger(__name__) 

    +

    31 

    +

    32 

    +

    33def _check_ndim(d3plot, array_dim_names: Dict[str, List[str]]): 

    +

    34 """Checks if the specified array is fine in terms of ndim 

    +

    35 

    +

    36 Parameters 

    +

    37 ---------- 

    +

    38 d3plot: D3plot 

    +

    39 d3plot holding arrays 

    +

    40 array_dim_names: Dict[str, List[str]] 

    +

    41 """ 

    +

    42 

    +

    43 for type_name, dim_names in array_dim_names.items(): 

    +

    44 if type_name in d3plot.arrays: 

    +

    45 array = d3plot.arrays[type_name] 

    +

    46 if array.ndim != len(dim_names): 

    +

    47 msg = "Array {0} must have {1} instead of {2} dimensions: ({3})" 

    +

    48 dim_names_text = ", ".join(dim_names) 

    +

    49 raise ValueError(msg.format(type_name, len(dim_names), array.ndim, dim_names_text)) 

    +

    50 

    +

    51 

    +

    52def _check_array_occurrence( 

    +

    53 d3plot, array_names: List[str], required_array_names: List[str] 

    +

    54) -> bool: 

    +

    55 """Check if an array exists, if all depending on it exist too 

    +

    56 

    +

    57 Parameters 

    +

    58 ---------- 

    +

    59 array_names: List[str] 

    +

    60 list of base arrays 

    +

    61 required_array_names: List[str] 

    +

    62 list of array names which would be required 

    +

    63 

    +

    64 Returns 

    +

    65 ------- 

    +

    66 exists: bool 

    +

    67 if the arrays exist or not 

    +

    68 

    +

    69 Raises 

    +

    70 ------ 

    +

    71 ValueError 

    +

    72 If a required array is not present 

    +

    73 """ 

    +

    74 

    +

    75 if any(name in d3plot.arrays for name in array_names): 

    +

    76 if not all(name in d3plot.arrays for name in required_array_names): 

    +

    77 msg = "The arrays '{0}' require setting also the arrays '{1}'" 

    +

    78 raise ValueError(msg.format(", ".join(array_names), ", ".join(required_array_names))) 

    +

    79 return True 

    +

    80 return False 

    +

    81 

    +

    82 

    +

    83def _negative_to_positive_state_indexes(indexes: Set[int], n_entries) -> Set[int]: 

    +

    84 """Convert negative indexes of an iterable to positive ones 

    +

    85 

    +

    86 Parameters 

    +

    87 ---------- 

    +

    88 indexes: Set[int] 

    +

    89 indexes to check and convert 

    +

    90 n_entries: int 

    +

    91 total number of entries 

    +

    92 

    +

    93 Returns 

    +

    94 ------- 

    +

    95 new_entries: Set[int] 

    +

    96 the positive indexes 

    +

    97 """ 

    +

    98 

    +

    99 new_entries: Set[int] = set() 

    +

    100 for _, index in enumerate(indexes): 

    +

    101 new_index = index + n_entries if index < 0 else index 

    +

    102 if new_index >= n_entries: 

    +

    103 err_msg = "State '{0}' exceeds the maximum number of states of '{1}'" 

    +

    104 raise ValueError(err_msg.format(index, n_entries)) 

    +

    105 new_entries.add(new_index) 

    +

    106 return new_entries 

    +

    107 

    +

    108 

    +

    109# pylint: disable = too-many-instance-attributes 

    +

    110class D3plotWriterSettings: 

    +

    111 """Settings class for d3plot writing""" 

    +

    112 

    +

    113 def __init__(self, d3plot: Any, block_size_bytes: int, single_file: bool): 

    +

    114 

    +

    115 # check the writing types 

    +

    116 if d3plot.header.itype == np.int32: 

    +

    117 self.itype = "<i" 

    +

    118 elif d3plot.header.itype == np.int64: 

    +

    119 self.itype = "<q" 

    +

    120 else: 

    +

    121 msg = "Invalid type for integers: {0}. np.int32 or np.int64 is required." 

    +

    122 raise RuntimeError(msg.format(d3plot.itype)) 

    +

    123 

    +

    124 if d3plot.header.ftype == np.float32: 

    +

    125 self.ftype = "<f" 

    +

    126 elif d3plot.header.ftype == np.float64: 

    +

    127 self.ftype = "<d" 

    +

    128 else: 

    +

    129 msg = "Invalid type for floats: {0}. np.float32 or np.float64 is required." 

    +

    130 raise RuntimeError(msg.format(d3plot.ftype)) 

    +

    131 

    +

    132 assert isinstance(d3plot, D3plot) 

    +

    133 self.d3plot = d3plot 

    +

    134 self._header = {} 

    +

    135 self.block_size_bytes = block_size_bytes 

    +

    136 self.mattyp = 0 

    +

    137 self.single_file = single_file 

    +

    138 self.mdlopt = 0 

    +

    139 self.n_shell_layers = 0 

    +

    140 self.n_rigid_shells = 0 

    +

    141 self.unique_beam_part_indexes = np.empty(0, dtype=self.itype) 

    +

    142 self.unique_shell_part_indexes = np.empty(0, dtype=self.itype) 

    +

    143 self.unique_solid_part_indexes = np.empty(0, dtype=self.itype) 

    +

    144 self.unique_tshell_part_indexes = np.empty(0, dtype=self.itype) 

    +

    145 self._str_codec = "utf-8" 

    +

    146 self.has_node_temperature_gradient = False 

    +

    147 self.has_node_residual_forces = False 

    +

    148 self.has_node_residual_moments = False 

    +

    149 self.has_plastic_strain_tensor = False 

    +

    150 self.has_thermal_strain_tensor = False 

    +

    151 self.n_solid_layers = 1 

    +

    152 

    +

    153 self._allowed_int_types = (np.int8, np.int16, np.int32, np.int64, int) 

    +

    154 self._allowed_float_types = (np.float32, np.float64, float) 

    +

    155 

    +

    156 @property 

    +

    157 def wordsize(self): 

    +

    158 """Get the wordsize to use for the d3plot 

    +

    159 

    +

    160 Returns 

    +

    161 ------- 

    +

    162 worsize : int 

    +

    163 D3plot wordsize 

    +

    164 """ 

    +

    165 return self.d3plot.header.wordsize 

    +

    166 

    +

    167 @property 

    +

    168 def header(self): 

    +

    169 """Dictionary holding all d3plot header information 

    +

    170 

    +

    171 Notes 

    +

    172 ----- 

    +

    173 The header is being build from the data stored in the d3plot. 

    +

    174 """ 

    +

    175 return self._header 

    +

    176 

    +

    177 @header.setter 

    +

    178 def set_header(self, new_header: dict): 

    +

    179 assert isinstance(new_header, dict) 

    +

    180 self._header = new_header 

    +

    181 

    +

    182 # pylint: disable = too-many-branches, too-many-statements, too-many-locals 

    +

    183 def build_header(self): 

    +

    184 """Build the new d3plot header""" 

    +

    185 

    +

    186 new_header = {} 

    +

    187 

    +

    188 # TITLE 

    +

    189 new_header["title"] = self.d3plot.header.title 

    +

    190 # RUNTIME 

    +

    191 new_header["runtime"] = self.d3plot.header.runtime 

    +

    192 # FILETYPE 

    +

    193 new_header["filetype"] = self.d3plot.header.filetype.value 

    +

    194 # SOURCE VERSION 

    +

    195 new_header["source_version"] = self.d3plot.header.source_version 

    +

    196 # RELEASE VERSION 

    +

    197 new_header["release_version"] = self.d3plot.header.release_version 

    +

    198 # SOURCE VERSION 

    +

    199 new_header["version"] = self.d3plot.header.version 

    +

    200 

    +

    201 # NDIM 

    +

    202 

    +

    203 # check for rigid body data 

    +

    204 has_rigid_body_data = False 

    +

    205 has_reduced_rigid_body_data = False 

    +

    206 if ( 

    +

    207 ArrayType.rigid_body_coordinates in self.d3plot.arrays 

    +

    208 or ArrayType.rigid_body_rotation_matrix in self.d3plot.arrays 

    +

    209 ): 

    +

    210 has_rigid_body_data = True 

    +

    211 has_reduced_rigid_body_data = True 

    +

    212 if ( 

    +

    213 ArrayType.rigid_body_velocity in self.d3plot.arrays 

    +

    214 or ArrayType.rigid_body_rot_velocity in self.d3plot.arrays 

    +

    215 or ArrayType.rigid_body_acceleration in self.d3plot.arrays 

    +

    216 or ArrayType.rigid_body_rot_acceleration in self.d3plot.arrays 

    +

    217 ): 

    +

    218 has_reduced_rigid_body_data = False 

    +

    219 

    +

    220 # check for rigid road 

    +

    221 required_arrays = [ 

    +

    222 ArrayType.rigid_road_node_ids, 

    +

    223 ArrayType.rigid_road_node_coordinates, 

    +

    224 ArrayType.rigid_road_ids, 

    +

    225 ArrayType.rigid_road_segment_node_ids, 

    +

    226 ArrayType.rigid_road_segment_road_id, 

    +

    227 ] 

    +

    228 _check_array_occurrence( 

    +

    229 self.d3plot, array_names=required_arrays, required_array_names=required_arrays 

    +

    230 ) 

    +

    231 has_rigid_road = ArrayType.rigid_road_node_ids in self.d3plot.arrays 

    +

    232 

    +

    233 # check for mattyp shit 

    +

    234 # self.mattyp = 0 

    +

    235 # if not is_d3part and ArrayType.part_material_type in self.d3plot.arrays: 

    +

    236 # self.mattyp = 1 

    +

    237 # elif is_d3part and ArrayType.part_material_type in self.d3plot.arrays: 

    +

    238 # # 

    +

    239 # self.mattyp = 0 

    +

    240 

    +

    241 # check for mattyp 

    +

    242 is_d3part = self.d3plot.header.filetype == D3plotFiletype.D3PART 

    +

    243 

    +

    244 self.mattyp = 0 

    +

    245 if not is_d3part and ArrayType.part_material_type in self.d3plot.arrays: 

    +

    246 self.mattyp = 1 

    +

    247 

    +

    248 # rigid shells 

    +

    249 if ArrayType.element_shell_part_indexes in self.d3plot.arrays: 

    +

    250 part_mattyp = self.d3plot.arrays[ArrayType.part_material_type] 

    +

    251 shell_part_indexes = self.d3plot.arrays[ArrayType.element_shell_part_indexes] 

    +

    252 self.n_rigid_shells = (part_mattyp[shell_part_indexes] == 20).sum() 

    +

    253 elif is_d3part: 

    +

    254 self.mattyp = 0 

    +

    255 

    +

    256 # set ndim finally 

    +

    257 # 

    +

    258 # This also confuses me from the manual ... 

    +

    259 # It doesn't specify ndim clearly and only gives ranges. 

    +

    260 # 

    +

    261 # - has rigid body: rigid body data (movement etc.) 

    +

    262 # - rigid road: rigid road data 

    +

    263 # - mattyp: array with material types for each part 

    +

    264 # 

    +

    265 # Table: 

    +

    266 # |----------------|--------------------|------------|---------|----------| 

    +

    267 # | has_rigid_body | reduced rigid body | rigid road | mattyp | ndim | 

    +

    268 # |----------------|--------------------|------------|---------|----------| 

    +

    269 # | False | False | False | 0 | 4 | 

    +

    270 # | False | False | False | 1 | 5 | 

    +

    271 # | False (?) | False | True | 0 | 6 | 

    +

    272 # | False | False | True | 1 | 7 | 

    +

    273 # | True | False | False | 0 | 8 | 

    +

    274 # | True | True | True | 0 | 9 | 

    +

    275 # |----------------|--------------------|------------|---------|----------| 

    +

    276 # 

    +

    277 # uncertainties: mattyp 0 or 1 ?!?!? 

    +

    278 if ( 

    +

    279 not has_rigid_body_data 

    +

    280 and not has_reduced_rigid_body_data 

    +

    281 and not has_rigid_road 

    +

    282 and self.mattyp == 0 

    +

    283 ): 

    +

    284 new_header["ndim"] = 4 

    +

    285 elif ( 

    +

    286 not has_rigid_body_data 

    +

    287 and not has_reduced_rigid_body_data 

    +

    288 and not has_rigid_road 

    +

    289 and self.mattyp == 1 

    +

    290 ): 

    +

    291 new_header["ndim"] = 5 

    +

    292 elif ( 

    +

    293 not has_rigid_body_data 

    +

    294 and not has_reduced_rigid_body_data 

    +

    295 and has_rigid_road 

    +

    296 and self.mattyp == 0 

    +

    297 ): 

    +

    298 new_header["ndim"] = 6 

    +

    299 elif ( 

    +

    300 not has_rigid_body_data 

    +

    301 and not has_reduced_rigid_body_data 

    +

    302 and has_rigid_road 

    +

    303 and self.mattyp == 1 

    +

    304 ): 

    +

    305 new_header["ndim"] = 7 

    +

    306 elif ( 

    +

    307 has_rigid_body_data 

    +

    308 and not has_reduced_rigid_body_data 

    +

    309 and not has_rigid_road 

    +

    310 and self.mattyp == 0 

    +

    311 ): 

    +

    312 new_header["ndim"] = 8 

    +

    313 elif ( 

    +

    314 has_rigid_body_data 

    +

    315 and has_reduced_rigid_body_data 

    +

    316 and has_rigid_road 

    +

    317 and self.mattyp == 0 

    +

    318 ): 

    +

    319 new_header["ndim"] = 9 

    +

    320 else: 

    +

    321 raise RuntimeError("Cannot determine haeder variable ndim.") 

    +

    322 

    +

    323 # NUMNP 

    +

    324 new_header["numnp"] = ( 

    +

    325 self.d3plot.arrays[ArrayType.node_coordinates].shape[0] 

    +

    326 if ArrayType.node_coordinates in self.d3plot.arrays 

    +

    327 else 0 

    +

    328 ) 

    +

    329 

    +

    330 # ICODE 

    +

    331 new_header["icode"] = self.d3plot.header.legacy_code_type 

    +

    332 

    +

    333 # IT aka temperatures 

    +

    334 _check_array_occurrence( 

    +

    335 self.d3plot, 

    +

    336 array_names=[ArrayType.node_heat_flux], 

    +

    337 required_array_names=[ArrayType.node_temperature], 

    +

    338 ) 

    +

    339 

    +

    340 it_temp = 0 

    +

    341 if ArrayType.node_mass_scaling in self.d3plot.arrays: 

    +

    342 it_temp += 10 

    +

    343 

    +

    344 if ( 

    +

    345 ArrayType.node_temperature in self.d3plot.arrays 

    +

    346 and ArrayType.node_heat_flux not in self.d3plot.arrays 

    +

    347 ): 

    +

    348 it_temp += 1 

    +

    349 elif ( 

    +

    350 ArrayType.node_temperature in self.d3plot.arrays 

    +

    351 and ArrayType.node_heat_flux in self.d3plot.arrays 

    +

    352 ): 

    +

    353 

    +

    354 node_temp_shape = self.d3plot.arrays[ArrayType.node_temperature].shape 

    +

    355 if node_temp_shape.ndim == 2: 

    +

    356 it_temp += 2 

    +

    357 elif node_temp_shape.ndim == 3: 

    +

    358 it_temp += 3 

    +

    359 else: 

    +

    360 msg = "{1} is supposed to have either 2 or 3 dims and not '{0}'" 

    +

    361 raise RuntimeError(msg.format(node_temp_shape.ndim, ArrayType.node_temperature)) 

    +

    362 else: 

    +

    363 # caught by _check_array_occurrence 

    +

    364 pass 

    +

    365 new_header["it"] = it_temp 

    +

    366 

    +

    367 # IU - disp field indicator 

    +

    368 new_header["iu"] = 1 if ArrayType.node_displacement in self.d3plot.arrays else 0 

    +

    369 

    +

    370 # IV - velicoty field indicator 

    +

    371 new_header["iv"] = 1 if ArrayType.node_velocity in self.d3plot.arrays else 0 

    +

    372 

    +

    373 # IA - velicoty field indicator 

    +

    374 new_header["ia"] = 1 if ArrayType.node_acceleration in self.d3plot.arrays else 0 

    +

    375 

    +

    376 # NEL8 - solid count 

    +

    377 n_solids = ( 

    +

    378 self.d3plot.arrays[ArrayType.element_solid_node_indexes].shape[0] 

    +

    379 if ArrayType.element_solid_node_indexes in self.d3plot.arrays 

    +

    380 else 0 

    +

    381 ) 

    +

    382 new_header["nel8"] = n_solids 

    +

    383 

    +

    384 # helper var to track max material index across all element types 

    +

    385 # this is required to allocate the part array later 

    +

    386 # new_header["nmmat"] = 0 

    +

    387 

    +

    388 # NUMMAT8 - solid material count 

    +

    389 required_arrays = [ 

    +

    390 ArrayType.element_solid_node_indexes, 

    +

    391 ArrayType.element_solid_part_indexes, 

    +

    392 ] 

    +

    393 _check_array_occurrence( 

    +

    394 self.d3plot, 

    +

    395 array_names=required_arrays, 

    +

    396 required_array_names=required_arrays, 

    +

    397 ) 

    +

    398 if ArrayType.element_solid_part_indexes in self.d3plot.arrays: 

    +

    399 part_indexes = self.d3plot.arrays[ArrayType.element_solid_part_indexes] 

    +

    400 unique_part_indexes = np.unique(part_indexes) 

    +

    401 self.unique_solid_part_indexes = unique_part_indexes 

    +

    402 new_header["nummat8"] = len(unique_part_indexes) 

    +

    403 

    +

    404 # max_index = unique_part_indexes.max() + 1 \ 

    +

    405 # if len(part_indexes) else 0 

    +

    406 # new_header["nmmat"] = max(new_header["nmmat"], 

    +

    407 # max_index) 

    +

    408 else: 

    +

    409 new_header["nummat8"] = 0 

    +

    410 

    +

    411 # NUMDS 

    +

    412 new_header["numds"] = self.d3plot.header.has_shell_four_inplane_gauss_points 

    +

    413 

    +

    414 # NUMST 

    +

    415 new_header["numst"] = self.d3plot.header.unused_numst 

    +

    416 

    +

    417 # NV3D - number of solid vars 

    +

    418 # NEIPH - number of solid history vars 

    +

    419 n_solid_layers = self.d3plot.check_array_dims( 

    +

    420 { 

    +

    421 ArrayType.element_solid_stress: 2, 

    +

    422 ArrayType.element_solid_effective_plastic_strain: 2, 

    +

    423 ArrayType.element_solid_history_variables: 2, 

    +

    424 ArrayType.element_solid_plastic_strain_tensor: 2, 

    +

    425 ArrayType.element_solid_thermal_strain_tensor: 2, 

    +

    426 }, 

    +

    427 "n_solid_layers", 

    +

    428 ) 

    +

    429 n_solid_layers = 1 if n_solid_layers < 1 else n_solid_layers 

    +

    430 self.n_solid_layers = n_solid_layers 

    +

    431 if n_solid_layers not in (1, 8): 

    +

    432 err_msg = "Solids must have either 1 or 8 integration layers not {0}." 

    +

    433 raise ValueError(err_msg.format(self.n_solid_layers)) 

    +

    434 

    +

    435 n_solid_hist_vars, _ = self.count_array_state_var( 

    +

    436 array_type=ArrayType.element_solid_history_variables, 

    +

    437 dimension_names=["n_timesteps", "n_solids", "n_solid_layers", "n_history_vars"], 

    +

    438 has_layers=True, 

    +

    439 n_layers=n_solid_layers, 

    +

    440 ) 

    +

    441 n_solid_hist_vars = n_solid_hist_vars // n_solid_layers 

    +

    442 

    +

    443 if ArrayType.element_solid_strain in self.d3plot.arrays: 

    +

    444 n_solid_hist_vars += 6 

    +

    445 # It is uncertain if this is counted as history var 

    +

    446 if ArrayType.element_solid_plastic_strain_tensor in self.d3plot.arrays: 

    +

    447 n_solid_hist_vars += 6 

    +

    448 # It is uncertain if this is counted as history var 

    +

    449 if ArrayType.element_solid_thermal_strain_tensor in self.d3plot.arrays: 

    +

    450 n_solid_hist_vars += 6 

    +

    451 n_solid_vars = (7 + n_solid_hist_vars) * n_solid_layers 

    +

    452 new_header["neiph"] = ( 

    +

    453 n_solid_hist_vars if n_solids != 0 else self.d3plot.header.n_solid_history_vars 

    +

    454 ) 

    +

    455 new_header["nv3d"] = n_solid_vars if n_solids != 0 else self.d3plot.header.n_solid_vars 

    +

    456 

    +

    457 # NEL2 - beam count 

    +

    458 new_header["nel2"] = ( 

    +

    459 self.d3plot.arrays[ArrayType.element_beam_node_indexes].shape[0] 

    +

    460 if ArrayType.element_beam_node_indexes in self.d3plot.arrays 

    +

    461 else 0 

    +

    462 ) 

    +

    463 

    +

    464 # NUMMAT2 - beam material count 

    +

    465 required_arrays = [ 

    +

    466 ArrayType.element_beam_node_indexes, 

    +

    467 ArrayType.element_beam_part_indexes, 

    +

    468 ] 

    +

    469 _check_array_occurrence( 

    +

    470 self.d3plot, 

    +

    471 array_names=required_arrays, 

    +

    472 required_array_names=required_arrays, 

    +

    473 ) 

    +

    474 if ArrayType.element_beam_part_indexes in self.d3plot.arrays: 

    +

    475 part_indexes = self.d3plot.arrays[ArrayType.element_beam_part_indexes] 

    +

    476 unique_part_indexes = np.unique(part_indexes) 

    +

    477 new_header["nummat2"] = len(unique_part_indexes) 

    +

    478 

    +

    479 self.unique_beam_part_indexes = unique_part_indexes 

    +

    480 

    +

    481 # max_index = unique_part_indexes.max() + 1 \ 

    +

    482 # if len(unique_part_indexes) else 0 

    +

    483 # new_header["nmmat"] = max(new_header["nmmat"], 

    +

    484 # max_index) 

    +

    485 else: 

    +

    486 new_header["nummat2"] = 0 

    +

    487 

    +

    488 # NEIPB - beam history vars per integration point 

    +

    489 array_dims = { 

    +

    490 ArrayType.element_beam_shear_stress: 2, 

    +

    491 ArrayType.element_beam_axial_stress: 2, 

    +

    492 ArrayType.element_beam_plastic_strain: 2, 

    +

    493 ArrayType.element_beam_axial_strain: 2, 

    +

    494 ArrayType.element_beam_history_vars: 2, 

    +

    495 } 

    +

    496 n_beam_layers = self.d3plot.check_array_dims(array_dims, "n_beam_layers") 

    +

    497 new_header["beamip"] = n_beam_layers 

    +

    498 

    +

    499 new_header["neipb"] = 0 

    +

    500 if ArrayType.element_beam_history_vars in self.d3plot.arrays: 

    +

    501 array = self.d3plot.arrays[ArrayType.element_beam_history_vars] 

    +

    502 if array.ndim != 4: 

    +

    503 msg = ( 

    +

    504 "Array '{0}' was expected to have 4 dimensions " 

    +

    505 "(n_timesteps, n_beams, n_modes (3+n_beam_layers), " 

    +

    506 "n_beam_history_vars)." 

    +

    507 ) 

    +

    508 raise ValueError(msg.format(ArrayType.element_beam_history_vars)) 

    +

    509 if array.shape[3] < 3: 

    +

    510 msg = ( 

    +

    511 "Array '{0}' dimension 3 must have have at least three" 

    +

    512 " entries (beam layers: average, min, max)" 

    +

    513 ) 

    +

    514 raise ValueError(msg.format(ArrayType.element_beam_history_vars)) 

    +

    515 if array.shape[3] != 3 + n_beam_layers: 

    +

    516 msg = "Array '{0}' dimension 3 must have size (3+n_beam_layers). {1} != (3+{2})" 

    +

    517 raise ValueError(msg.format(ArrayType.element_beam_history_vars)) 

    +

    518 new_header["neipb"] = array.shape[3] 

    +

    519 

    +

    520 # NV1D - beam variable count 

    +

    521 new_header["nv1d"] = ( 

    +

    522 6 + 5 * new_header["beamip"] + new_header["neipb"] * (3 + new_header["beamip"]) 

    +

    523 ) 

    +

    524 

    +

    525 # NEL4 - number of shells 

    +

    526 n_shells = ( 

    +

    527 self.d3plot.arrays[ArrayType.element_shell_node_indexes].shape[0] 

    +

    528 if ArrayType.element_shell_node_indexes in self.d3plot.arrays 

    +

    529 else 0 

    +

    530 ) 

    +

    531 new_header["nel4"] = n_shells 

    +

    532 

    +

    533 # NUMMAT4 - shell material count 

    +

    534 required_arrays = [ 

    +

    535 ArrayType.element_shell_node_indexes, 

    +

    536 ArrayType.element_shell_part_indexes, 

    +

    537 ] 

    +

    538 _check_array_occurrence( 

    +

    539 self.d3plot, 

    +

    540 array_names=required_arrays, 

    +

    541 required_array_names=required_arrays, 

    +

    542 ) 

    +

    543 if ArrayType.element_shell_part_indexes in self.d3plot.arrays: 

    +

    544 part_indexes = self.d3plot.arrays[ArrayType.element_shell_part_indexes] 

    +

    545 unique_part_indexes = np.unique(part_indexes) 

    +

    546 new_header["nummat4"] = len(unique_part_indexes) 

    +

    547 

    +

    548 self.unique_shell_part_indexes = unique_part_indexes 

    +

    549 

    +

    550 # max_index = unique_part_indexes.max() + 1 \ 

    +

    551 # if len(unique_part_indexes) else 0 

    +

    552 # new_header["nmmat"] = max(new_header["nmmat"], 

    +

    553 # max_index) 

    +

    554 else: 

    +

    555 new_header["nummat4"] = 0 

    +

    556 

    +

    557 # NEIPS -shell history variable count 

    +

    558 n_shell_layers = 0 

    +

    559 if ( 

    +

    560 ArrayType.element_shell_history_vars in self.d3plot.arrays 

    +

    561 or ArrayType.element_tshell_history_variables in self.d3plot.arrays 

    +

    562 ): 

    +

    563 

    +

    564 n_shell_history_vars, n_shell_layers = self.count_array_state_var( 

    +

    565 array_type=ArrayType.element_shell_history_vars, 

    +

    566 dimension_names=["n_timesteps", "n_shells", "n_shell_layers", "n_history_vars"], 

    +

    567 has_layers=True, 

    +

    568 n_layers=n_shell_layers, 

    +

    569 ) 

    +

    570 n_tshell_history_vars, n_tshell_layers = self.count_array_state_var( 

    +

    571 array_type=ArrayType.element_tshell_history_variables, 

    +

    572 dimension_names=["n_timesteps", "n_tshells", "n_shell_layers", "n_history_vars"], 

    +

    573 has_layers=True, 

    +

    574 n_layers=n_shell_layers, 

    +

    575 ) 

    +

    576 

    +

    577 if n_shell_layers != n_tshell_layers: 

    +

    578 msg = ( 

    +

    579 "Shells and thick shells must have the same amount " 

    +

    580 "of integration layers: {0} != {1}" 

    +

    581 ) 

    +

    582 raise RuntimeError(msg.format(n_shell_layers, n_tshell_layers)) 

    +

    583 

    +

    584 # we are tolerant here and simply add zero padding for the other 

    +

    585 # field later on 

    +

    586 new_header["neips"] = max( 

    +

    587 n_tshell_history_vars // n_tshell_layers, n_shell_history_vars // n_shell_layers 

    +

    588 ) 

    +

    589 else: 

    +

    590 new_header["neips"] = 0 

    +

    591 

    +

    592 array_dims = { 

    +

    593 ArrayType.element_shell_stress: 2, 

    +

    594 ArrayType.element_shell_effective_plastic_strain: 2, 

    +

    595 ArrayType.element_shell_history_vars: 2, 

    +

    596 ArrayType.element_tshell_stress: 2, 

    +

    597 ArrayType.element_tshell_effective_plastic_strain: 2, 

    +

    598 ArrayType.element_tshell_history_variables: 2, 

    +

    599 } 

    +

    600 n_shell_layers = self.d3plot.check_array_dims(array_dims, "n_shell_layers") 

    +

    601 self.n_shell_layers = n_shell_layers 

    +

    602 

    +

    603 # NELTH - number of thick shell elements 

    +

    604 n_thick_shells = ( 

    +

    605 self.d3plot.arrays[ArrayType.element_tshell_node_indexes].shape[0] 

    +

    606 if ArrayType.element_tshell_node_indexes in self.d3plot.arrays 

    +

    607 else 0 

    +

    608 ) 

    +

    609 new_header["nelth"] = n_thick_shells 

    +

    610 

    +

    611 # IOSHL1 - shell & solid stress flag 

    +

    612 if ( 

    +

    613 ArrayType.element_shell_stress in self.d3plot.arrays 

    +

    614 or ArrayType.element_tshell_stress in self.d3plot.arrays 

    +

    615 ): 

    +

    616 new_header["ioshl1"] = 1000 

    +

    617 else: 

    +

    618 # if either stress or pstrain is written for solids 

    +

    619 # the whole block of 7 basic variables is always written 

    +

    620 # to the file 

    +

    621 if ( 

    +

    622 ArrayType.element_solid_stress in self.d3plot.arrays 

    +

    623 or ArrayType.element_solid_effective_plastic_strain in self.d3plot.arrays 

    +

    624 ): 

    +

    625 new_header["ioshl1"] = 999 

    +

    626 else: 

    +

    627 new_header["ioshl1"] = 0 

    +

    628 

    +

    629 if n_shells == 0 and n_thick_shells == 0 and n_solids == 0: 

    +

    630 new_header["ioshl1"] = ( 

    +

    631 self.d3plot.header.raw_header["ioshl1"] 

    +

    632 if "ioshl1" in self.d3plot.header.raw_header 

    +

    633 else 0 

    +

    634 ) 

    +

    635 

    +

    636 if n_shells == 0 and n_thick_shells == 0 and n_solids != 0: 

    +

    637 if ( 

    +

    638 "ioshl1" in self.d3plot.header.raw_header 

    +

    639 and self.d3plot.header.raw_header["ioshl1"] == 1000 

    +

    640 ): 

    +

    641 new_header["ioshl1"] = 1000 

    +

    642 

    +

    643 # IOSHL2 - shell & solid pstrain flag 

    +

    644 if ( 

    +

    645 ArrayType.element_shell_effective_plastic_strain in self.d3plot.arrays 

    +

    646 or ArrayType.element_tshell_effective_plastic_strain in self.d3plot.arrays 

    +

    647 ): 

    +

    648 new_header["ioshl2"] = 1000 

    +

    649 else: 

    +

    650 if ArrayType.element_solid_effective_plastic_strain in self.d3plot.arrays: 

    +

    651 new_header["ioshl2"] = 999 

    +

    652 else: 

    +

    653 new_header["ioshl2"] = 0 

    +

    654 

    +

    655 if n_shells == 0 and n_thick_shells == 0 and n_solids == 0: 

    +

    656 new_header["ioshl2"] = ( 

    +

    657 self.d3plot.header.raw_header["ioshl2"] 

    +

    658 if "ioshl2" in self.d3plot.header.raw_header 

    +

    659 else 0 

    +

    660 ) 

    +

    661 

    +

    662 if n_shells == 0 and n_thick_shells == 0 and n_solids != 0: 

    +

    663 if ( 

    +

    664 "ioshl2" in self.d3plot.header.raw_header 

    +

    665 and self.d3plot.header.raw_header["ioshl2"] == 1000 

    +

    666 ): 

    +

    667 new_header["ioshl2"] = 1000 

    +

    668 

    +

    669 # IOSHL3 - shell forces flag 

    +

    670 if ( 

    +

    671 ArrayType.element_shell_shear_force in self.d3plot.arrays 

    +

    672 or ArrayType.element_shell_bending_moment in self.d3plot.arrays 

    +

    673 or ArrayType.element_shell_normal_force in self.d3plot.arrays 

    +

    674 ): 

    +

    675 new_header["ioshl3"] = 1000 

    +

    676 else: 

    +

    677 # new_header["ioshl3"] = 999 

    +

    678 new_header["ioshl3"] = 0 

    +

    679 

    +

    680 if n_shells == 0: 

    +

    681 new_header["ioshl3"] = ( 

    +

    682 self.d3plot.header.raw_header["ioshl3"] 

    +

    683 if "ioshl3" in self.d3plot.header.raw_header 

    +

    684 else 0 

    +

    685 ) 

    +

    686 

    +

    687 # IOSHL4 - shell energy+2 unknown+thickness flag 

    +

    688 if ( 

    +

    689 ArrayType.element_shell_thickness in self.d3plot.arrays 

    +

    690 or ArrayType.element_shell_unknown_variables in self.d3plot.arrays 

    +

    691 or ArrayType.element_shell_internal_energy in self.d3plot.arrays 

    +

    692 ): 

    +

    693 new_header["ioshl4"] = 1000 

    +

    694 else: 

    +

    695 # new_header["ioshl4"] = 999 

    +

    696 new_header["ioshl4"] = 0 

    +

    697 

    +

    698 if n_shells == 0: 

    +

    699 new_header["ioshl4"] = ( 

    +

    700 self.d3plot.header.raw_header["ioshl4"] 

    +

    701 if "ioshl4" in self.d3plot.header.raw_header 

    +

    702 else 0 

    +

    703 ) 

    +

    704 

    +

    705 # IDTDT - Flags for various data in the database 

    +

    706 new_header["idtdt"] = 0 

    +

    707 istrn = 0 

    +

    708 if ( 

    +

    709 ArrayType.element_shell_strain in self.d3plot.arrays 

    +

    710 or ArrayType.element_solid_strain in self.d3plot.arrays 

    +

    711 or ArrayType.element_tshell_strain in self.d3plot.arrays 

    +

    712 ): 

    +

    713 # new_header["idtdt"] = 10000 

    +

    714 istrn = 1 

    +

    715 new_header["istrn"] = istrn 

    +

    716 

    +

    717 if ArrayType.node_temperature_gradient in self.d3plot.arrays: 

    +

    718 new_header["idtdt"] += 1 

    +

    719 self.has_node_temperature_gradient = True 

    +

    720 if ( 

    +

    721 ArrayType.node_residual_forces in self.d3plot.arrays 

    +

    722 or ArrayType.node_residual_moments in self.d3plot.arrays 

    +

    723 ): 

    +

    724 new_header["idtdt"] += 10 

    +

    725 self.has_node_residual_forces = True 

    +

    726 self.has_node_residual_moments = True 

    +

    727 if ( 

    +

    728 ArrayType.element_shell_plastic_strain_tensor in self.d3plot.arrays 

    +

    729 or ArrayType.element_solid_plastic_strain_tensor in self.d3plot.arrays 

    +

    730 ): 

    +

    731 new_header["idtdt"] += 100 

    +

    732 self.has_plastic_strain_tensor = True 

    +

    733 if ( 

    +

    734 ArrayType.element_shell_thermal_strain_tensor in self.d3plot.arrays 

    +

    735 or ArrayType.element_solid_thermal_strain_tensor in self.d3plot.arrays 

    +

    736 ): 

    +

    737 new_header["idtdt"] += 1000 

    +

    738 self.has_thermal_strain_tensor = True 

    +

    739 if new_header["idtdt"] > 100 and new_header["istrn"]: 

    +

    740 new_header["idtdt"] += 10000 

    +

    741 

    +

    742 # info of element deletion is encoded into maxint ... 

    +

    743 element_deletion_arrays = [ 

    +

    744 ArrayType.element_beam_is_alive, 

    +

    745 ArrayType.element_shell_is_alive, 

    +

    746 ArrayType.element_tshell_is_alive, 

    +

    747 ArrayType.element_solid_is_alive, 

    +

    748 ] 

    +

    749 mdlopt = 0 

    +

    750 if any(name in self.d3plot.arrays for name in element_deletion_arrays): 

    +

    751 mdlopt = 2 

    +

    752 elif ArrayType.node_is_alive in self.d3plot.arrays: 

    +

    753 mdlopt = 1 

    +

    754 self.mdlopt = mdlopt 

    +

    755 

    +

    756 # MAXINT - shell integration layer count 

    +

    757 array_dims = { 

    +

    758 ArrayType.element_shell_stress: 2, 

    +

    759 ArrayType.element_shell_effective_plastic_strain: 2, 

    +

    760 ArrayType.element_shell_history_vars: 2, 

    +

    761 ArrayType.element_tshell_stress: 2, 

    +

    762 ArrayType.element_tshell_effective_plastic_strain: 2, 

    +

    763 } 

    +

    764 n_shell_layers = self.d3plot.check_array_dims(array_dims, "n_layers") 

    +

    765 

    +

    766 # beauty fix: take old shell layers if none exist 

    +

    767 if n_shell_layers == 0: 

    +

    768 n_shell_layers = self.d3plot.header.n_shell_tshell_layers 

    +

    769 

    +

    770 if mdlopt == 0: 

    +

    771 new_header["maxint"] = n_shell_layers 

    +

    772 elif mdlopt == 1: 

    +

    773 new_header["maxint"] = -n_shell_layers 

    +

    774 elif mdlopt == 2: 

    +

    775 new_header["maxint"] = -(n_shell_layers + 10000) 

    +

    776 

    +

    777 # NV2D - shell variable count 

    +

    778 has_shell_stress = new_header["ioshl1"] == 1000 

    +

    779 has_shell_pstrain = new_header["ioshl2"] == 1000 

    +

    780 has_shell_forces = new_header["ioshl3"] == 1000 

    +

    781 has_shell_other = new_header["ioshl4"] == 1000 

    +

    782 new_header["nv2d"] = ( 

    +

    783 n_shell_layers * (6 * has_shell_stress + has_shell_pstrain + new_header["neips"]) 

    +

    784 + 8 * has_shell_forces 

    +

    785 + 4 * has_shell_other 

    +

    786 + 12 * istrn 

    +

    787 + n_shell_layers * self.has_plastic_strain_tensor * 6 

    +

    788 + self.has_thermal_strain_tensor * 6 

    +

    789 ) 

    +

    790 

    +

    791 # NMSPH - number of sph nodes 

    +

    792 new_header["nmsph"] = ( 

    +

    793 len(self.d3plot.arrays[ArrayType.sph_node_indexes]) 

    +

    794 if ArrayType.sph_node_indexes in self.d3plot.arrays 

    +

    795 else 0 

    +

    796 ) 

    +

    797 

    +

    798 # NGPSPH - number of sph materials 

    +

    799 new_header["ngpsph"] = ( 

    +

    800 len(np.unique(self.d3plot.arrays[ArrayType.sph_node_material_index])) 

    +

    801 if ArrayType.sph_node_material_index in self.d3plot.arrays 

    +

    802 else 0 

    +

    803 ) 

    +

    804 

    +

    805 # NUMMATT - thick shell material count 

    +

    806 required_arrays = [ 

    +

    807 ArrayType.element_tshell_node_indexes, 

    +

    808 ArrayType.element_tshell_part_indexes, 

    +

    809 ] 

    +

    810 _check_array_occurrence( 

    +

    811 self.d3plot, 

    +

    812 array_names=required_arrays, 

    +

    813 required_array_names=required_arrays, 

    +

    814 ) 

    +

    815 if ArrayType.element_tshell_part_indexes in self.d3plot.arrays: 

    +

    816 part_indexes = self.d3plot.arrays[ArrayType.element_tshell_part_indexes] 

    +

    817 unique_part_indexes = np.unique(part_indexes) 

    +

    818 new_header["nummatt"] = len(unique_part_indexes) 

    +

    819 

    +

    820 self.unique_tshell_part_indexes = unique_part_indexes 

    +

    821 

    +

    822 # max_index = unique_part_indexes.max() + 1 \ 

    +

    823 # if len(part_indexes) else 0 

    +

    824 # new_header["nmmat"] = max(new_header["nmmat"], 

    +

    825 # max_index) 

    +

    826 else: 

    +

    827 new_header["nummatt"] = 0 

    +

    828 

    +

    829 # NV3DT 

    +

    830 new_header["nv3dt"] = ( 

    +

    831 n_shell_layers * (6 * has_shell_stress + has_shell_pstrain + new_header["neips"]) 

    +

    832 + 12 * istrn 

    +

    833 ) 

    +

    834 

    +

    835 # IALEMAT - number of ALE materials 

    +

    836 new_header["ialemat"] = ( 

    +

    837 len(self.d3plot.arrays[ArrayType.ale_material_ids]) 

    +

    838 if ArrayType.ale_material_ids in self.d3plot.arrays 

    +

    839 else 0 

    +

    840 ) 

    +

    841 # NCFDV1 

    +

    842 new_header["ncfdv1"] = 0 

    +

    843 

    +

    844 # NCFDV2 

    +

    845 new_header["ncfdv2"] = 0 

    +

    846 

    +

    847 # NADAPT - number of adapted element to parent pairs ?!? 

    +

    848 new_header["ncfdv2"] = 0 

    +

    849 

    +

    850 # NUMRBS (written to numbering header) 

    +

    851 if ArrayType.rigid_body_coordinates in self.d3plot.arrays: 

    +

    852 array = self.d3plot.arrays[ArrayType.rigid_body_coordinates] 

    +

    853 if array.ndim != 3: 

    +

    854 msg = "Array '{0}' was expected to have {1} dimensions ({2})." 

    +

    855 raise ValueError( 

    +

    856 msg.format( 

    +

    857 ArrayType.rigid_wall_force, 

    +

    858 3, 

    +

    859 ",".join(["n_timesteps", "n_rigid_bodies", "x_y_z"]), 

    +

    860 ) 

    +

    861 ) 

    +

    862 new_header["numrbs"] = array.shape[1] 

    +

    863 else: 

    +

    864 new_header["numrbs"] = 0 

    +

    865 

    +

    866 # NMMAT - material count (very complicated stuff ...) 

    +

    867 tmp_nmmat = ( 

    +

    868 new_header["nummat2"] 

    +

    869 + new_header["nummat4"] 

    +

    870 + new_header["nummat8"] 

    +

    871 + new_header["nummatt"] 

    +

    872 + new_header["numrbs"] 

    +

    873 ) 

    +

    874 if ( 

    +

    875 ArrayType.part_ids in self.d3plot.arrays 

    +

    876 or ArrayType.part_internal_energy in self.d3plot.arrays 

    +

    877 or ArrayType.part_kinetic_energy in self.d3plot.arrays 

    +

    878 or ArrayType.part_mass in self.d3plot.arrays 

    +

    879 or ArrayType.part_velocity in self.d3plot.arrays 

    +

    880 ): 

    +

    881 

    +

    882 tmp_nmmat2 = self.d3plot.check_array_dims( 

    +

    883 { 

    +

    884 ArrayType.part_ids: 0, 

    +

    885 ArrayType.part_internal_energy: 1, 

    +

    886 ArrayType.part_kinetic_energy: 1, 

    +

    887 ArrayType.part_mass: 1, 

    +

    888 ArrayType.part_velocity: 1, 

    +

    889 }, 

    +

    890 "n_parts", 

    +

    891 ) 

    +

    892 

    +

    893 new_header["nmmat"] = tmp_nmmat2 

    +

    894 

    +

    895 # FIX 

    +

    896 # ... 

    +

    897 if new_header["nmmat"] > tmp_nmmat: 

    +

    898 new_header["numrbs"] = ( 

    +

    899 new_header["nmmat"] 

    +

    900 - new_header["nummat2"] 

    +

    901 - new_header["nummat4"] 

    +

    902 - new_header["nummat8"] 

    +

    903 - new_header["nummatt"] 

    +

    904 ) 

    +

    905 else: 

    +

    906 new_header["nmmat"] = tmp_nmmat 

    +

    907 

    +

    908 # NARBS - words for arbitrary numbering of everything 

    +

    909 # requires nmmat thus it was placed here 

    +

    910 new_header["narbs"] = ( 

    +

    911 new_header["numnp"] 

    +

    912 + new_header["nel8"] 

    +

    913 + new_header["nel2"] 

    +

    914 + new_header["nel4"] 

    +

    915 + new_header["nelth"] 

    +

    916 + 3 * new_header["nmmat"] 

    +

    917 ) 

    +

    918 # narbs header data 

    +

    919 if ArrayType.part_ids in self.d3plot.arrays: 

    +

    920 new_header["narbs"] += 16 

    +

    921 else: 

    +

    922 new_header["narbs"] += 10 

    +

    923 

    +

    924 # NGLBV - number of global variables 

    +

    925 n_rigid_wall_vars = 0 

    +

    926 n_rigid_walls = 0 

    +

    927 if ArrayType.rigid_wall_force in self.d3plot.arrays: 

    +

    928 n_rigid_wall_vars = 1 

    +

    929 array = self.d3plot.arrays[ArrayType.rigid_wall_force] 

    +

    930 if array.ndim != 2: 

    +

    931 msg = "Array '{0}' was expected to have {1} dimensions ({2})." 

    +

    932 raise ValueError( 

    +

    933 msg.format( 

    +

    934 ArrayType.rigid_wall_force, 2, ",".join(["n_timesteps", "n_rigid_walls"]) 

    +

    935 ) 

    +

    936 ) 

    +

    937 n_rigid_walls = array.shape[1] 

    +

    938 if ArrayType.rigid_wall_position in self.d3plot.arrays: 

    +

    939 n_rigid_wall_vars = 4 

    +

    940 array = self.d3plot.arrays[ArrayType.rigid_wall_position] 

    +

    941 if array.ndim != 3: 

    +

    942 msg = "Array '{0}' was expected to have {1} dimensions ({2})." 

    +

    943 raise ValueError( 

    +

    944 msg.format( 

    +

    945 ArrayType.rigid_wall_position, 

    +

    946 3, 

    +

    947 ",".join(["n_timesteps", "n_rigid_walls", "x_y_z"]), 

    +

    948 ) 

    +

    949 ) 

    +

    950 n_rigid_walls = array.shape[1] 

    +

    951 

    +

    952 new_header["n_rigid_walls"] = n_rigid_walls 

    +

    953 new_header["n_rigid_wall_vars"] = n_rigid_wall_vars 

    +

    954 n_global_variables = 0 

    +

    955 if ArrayType.global_kinetic_energy in self.d3plot.arrays: 

    +

    956 n_global_variables = 1 

    +

    957 if ArrayType.global_internal_energy in self.d3plot.arrays: 

    +

    958 n_global_variables = 2 

    +

    959 if ArrayType.global_total_energy in self.d3plot.arrays: 

    +

    960 n_global_variables = 3 

    +

    961 if ArrayType.global_velocity in self.d3plot.arrays: 

    +

    962 n_global_variables = 6 

    +

    963 if ArrayType.part_internal_energy in self.d3plot.arrays: 

    +

    964 n_global_variables = 6 + 1 * new_header["nmmat"] 

    +

    965 if ArrayType.part_kinetic_energy in self.d3plot.arrays: 

    +

    966 n_global_variables = 6 + 2 * new_header["nmmat"] 

    +

    967 if ArrayType.part_velocity in self.d3plot.arrays: 

    +

    968 n_global_variables = 6 + 5 * new_header["nmmat"] 

    +

    969 if ArrayType.part_mass in self.d3plot.arrays: 

    +

    970 n_global_variables = 6 + 6 * new_header["nmmat"] 

    +

    971 if ArrayType.part_hourglass_energy in self.d3plot.arrays: 

    +

    972 n_global_variables = 6 + 7 * new_header["nmmat"] 

    +

    973 if n_rigid_wall_vars * n_rigid_walls != 0: 

    +

    974 n_global_variables = 6 + 7 * new_header["nmmat"] + n_rigid_wall_vars * n_rigid_walls 

    +

    975 new_header["nglbv"] = n_global_variables 

    +

    976 

    +

    977 # NUMFLUID - total number of ALE fluid groups 

    +

    978 new_header["numfluid"] = 0 

    +

    979 

    +

    980 # INN - Invariant node numbering fore shell and solid elements 

    +

    981 if self.d3plot.header.has_invariant_numbering: 

    +

    982 if "inn" in self.d3plot.header.raw_header and self.d3plot.header.raw_header["inn"] != 0: 

    +

    983 new_header["inn"] = self.d3plot.header.raw_header["inn"] 

    +

    984 else: 

    +

    985 new_header["inn"] = int(self.d3plot.header.has_invariant_numbering) 

    +

    986 else: 

    +

    987 new_header["inn"] = 0 

    +

    988 

    +

    989 # NPEFG 

    +

    990 airbag_arrays = [ 

    +

    991 ArrayType.airbags_first_particle_id, 

    +

    992 ArrayType.airbags_n_particles, 

    +

    993 ArrayType.airbags_ids, 

    +

    994 ArrayType.airbags_n_gas_mixtures, 

    +

    995 ArrayType.airbags_n_chambers, 

    +

    996 ArrayType.airbag_n_active_particles, 

    +

    997 ArrayType.airbag_bag_volume, 

    +

    998 ArrayType.airbag_particle_gas_id, 

    +

    999 ArrayType.airbag_particle_chamber_id, 

    +

    1000 ArrayType.airbag_particle_leakage, 

    +

    1001 ArrayType.airbag_particle_mass, 

    +

    1002 ArrayType.airbag_particle_radius, 

    +

    1003 ArrayType.airbag_particle_spin_energy, 

    +

    1004 ArrayType.airbag_particle_translation_energy, 

    +

    1005 ArrayType.airbag_particle_nearest_segment_distance, 

    +

    1006 ArrayType.airbag_particle_position, 

    +

    1007 ArrayType.airbag_particle_velocity, 

    +

    1008 ] 

    +

    1009 subver = 3 if any(name in self.d3plot.arrays for name in airbag_arrays) else 0 

    +

    1010 

    +

    1011 # subver overwrite 

    +

    1012 if self.d3plot.header.n_airbags: 

    +

    1013 # pylint: disable = protected-access 

    +

    1014 subver = self.d3plot._airbag_info.subver 

    +

    1015 

    +

    1016 n_partgas = ( 

    +

    1017 len(self.d3plot.arrays[ArrayType.airbags_ids]) 

    +

    1018 if ArrayType.airbags_ids in self.d3plot.arrays 

    +

    1019 else 0 

    +

    1020 ) 

    +

    1021 

    +

    1022 new_header["npefg"] = 1000 * subver + n_partgas 

    +

    1023 

    +

    1024 # NEL48 - extra nodes for 8 node shell elements 

    +

    1025 required_arrays = [ 

    +

    1026 ArrayType.element_shell_node8_element_index, 

    +

    1027 ArrayType.element_shell_node8_extra_node_indexes, 

    +

    1028 ] 

    +

    1029 _check_array_occurrence( 

    +

    1030 self.d3plot, 

    +

    1031 array_names=required_arrays, 

    +

    1032 required_array_names=required_arrays, 

    +

    1033 ) 

    +

    1034 new_header["nel48"] = ( 

    +

    1035 len(self.d3plot.arrays[ArrayType.element_shell_node8_element_index]) 

    +

    1036 if ArrayType.element_shell_node8_element_index in self.d3plot.arrays 

    +

    1037 else 0 

    +

    1038 ) 

    +

    1039 

    +

    1040 # NEL20 - 20 nodes solid elements 

    +

    1041 required_arrays = [ 

    +

    1042 ArrayType.element_solid_node20_element_index, 

    +

    1043 ArrayType.element_solid_node20_extra_node_indexes, 

    +

    1044 ] 

    +

    1045 _check_array_occurrence( 

    +

    1046 self.d3plot, 

    +

    1047 array_names=required_arrays, 

    +

    1048 required_array_names=required_arrays, 

    +

    1049 ) 

    +

    1050 if ArrayType.element_solid_node20_element_index in self.d3plot.arrays: 

    +

    1051 new_header["nel20"] = len( 

    +

    1052 self.d3plot.arrays[ArrayType.element_solid_node20_element_index] 

    +

    1053 ) 

    +

    1054 else: 

    +

    1055 new_header["nel20"] = 0 

    +

    1056 

    +

    1057 # NT3D - thermal solid data 

    +

    1058 if ArrayType.element_solid_thermal_data in self.d3plot.arrays: 

    +

    1059 new_header["nt3d"] = len(self.d3plot.arrays[ArrayType.element_solid_thermal_data]) 

    +

    1060 else: 

    +

    1061 new_header["nt3d"] = 0 

    +

    1062 

    +

    1063 # NEL27 - 27 node solid elements 

    +

    1064 required_arrays = [ 

    +

    1065 ArrayType.element_solid_node27_element_index, 

    +

    1066 ArrayType.element_solid_node27_extra_node_indexes, 

    +

    1067 ] 

    +

    1068 _check_array_occurrence( 

    +

    1069 self.d3plot, 

    +

    1070 array_names=required_arrays, 

    +

    1071 required_array_names=required_arrays, 

    +

    1072 ) 

    +

    1073 if ArrayType.element_solid_node27_element_index in self.d3plot.arrays: 

    +

    1074 new_header["nel27"] = len( 

    +

    1075 self.d3plot.arrays[ArrayType.element_solid_node27_element_index] 

    +

    1076 ) 

    +

    1077 else: 

    +

    1078 new_header["nel27"] = 0 

    +

    1079 

    +

    1080 # EXTRA - extra header variables 

    +

    1081 # set only if any value is non-zero 

    +

    1082 extra_hdr_variables = ["nel20", "nt3d", "nel27", "neipb"] 

    +

    1083 if any(new_header[name] for name in extra_hdr_variables): 

    +

    1084 new_header["extra"] = 64 

    +

    1085 else: 

    +

    1086 new_header["extra"] = 0 

    +

    1087 

    +

    1088 # CHECKS 

    +

    1089 

    +

    1090 # unique part indexes all ok 

    +

    1091 for part_index in self.unique_beam_part_indexes: 

    +

    1092 if part_index >= new_header["nmmat"]: 

    +

    1093 msg = "{0} part index {1} is larger than number of materials {2}" 

    +

    1094 raise ValueError(msg.format("beam", part_index, new_header["nmmat"])) 

    +

    1095 for part_index in self.unique_shell_part_indexes: 

    +

    1096 if part_index >= new_header["nmmat"]: 

    +

    1097 msg = "{0} part index {1} is larger than number of materials {2}" 

    +

    1098 raise ValueError(msg.format("shell", part_index, new_header["nmmat"])) 

    +

    1099 for part_index in self.unique_solid_part_indexes: 

    +

    1100 if part_index >= new_header["nmmat"]: 

    +

    1101 msg = "{0} part index {1} is larger than number of materials {2}" 

    +

    1102 raise ValueError(msg.format("solid", part_index, new_header["nmmat"])) 

    +

    1103 for part_index in self.unique_tshell_part_indexes: 

    +

    1104 if part_index >= new_header["nmmat"]: 

    +

    1105 msg = "{0} part index {1} is larger than number of materials {2}" 

    +

    1106 raise ValueError(msg.format("tshell", part_index, new_header["nmmat"])) 

    +

    1107 

    +

    1108 # new header 

    +

    1109 self._header = new_header 

    +

    1110 

    +

    1111 # pylint: disable = too-many-return-statements 

    +

    1112 def pack(self, value: Any, size=None, dtype_hint=None) -> bytes: 

    +

    1113 """Pack a python value according to its settings 

    +

    1114 

    +

    1115 Parameters 

    +

    1116 ---------- 

    +

    1117 value: Any 

    +

    1118 integer, float or string type value 

    +

    1119 size: int 

    +

    1120 size in bytes 

    +

    1121 dtype_hint: `np.integer` or `np.floating` (default: None) 

    +

    1122 dtype hint for numpy arrays (prevens wrong casting) 

    +

    1123 

    +

    1124 Returns 

    +

    1125 ------- 

    +

    1126 bytes: bytes 

    +

    1127 value packed in bytes 

    +

    1128 

    +

    1129 Raises 

    +

    1130 ------ 

    +

    1131 RuntimeError 

    +

    1132 If the type cannot be deserialized for being unknown. 

    +

    1133 """ 

    +

    1134 

    +

    1135 assert dtype_hint in (None, np.integer, np.floating) 

    +

    1136 

    +

    1137 # INT 

    +

    1138 if isinstance(value, self._allowed_int_types): 

    +

    1139 return struct.pack(self.itype, value) 

    +

    1140 # FLOAT 

    +

    1141 if isinstance(value, self._allowed_float_types): 

    +

    1142 return struct.pack(self.ftype, value) 

    +

    1143 # BYTES 

    +

    1144 if isinstance(value, bytes): 

    +

    1145 if size and len(value) > size: 

    +

    1146 return value[:size] 

    +

    1147 return value 

    +

    1148 # BYTEARRAY 

    +

    1149 if isinstance(value, bytearray): 

    +

    1150 if size and len(value) > size: 

    +

    1151 return bytes(value[:size]) 

    +

    1152 return bytes(value) 

    +

    1153 # STRING 

    +

    1154 if isinstance(value, str): 

    +

    1155 if size: 

    +

    1156 fmt = "{0:" + str(size) + "}" 

    +

    1157 return fmt.format(value).encode(self._str_codec) 

    +

    1158 

    +

    1159 return value.encode(self._str_codec) 

    +

    1160 # ARRAY 

    +

    1161 if isinstance(value, np.ndarray): 

    +

    1162 

    +

    1163 if (value.dtype != self.ftype and dtype_hint == np.floating) or ( 

    +

    1164 value.dtype != self.itype and dtype_hint == np.integer 

    +

    1165 ): 

    +

    1166 

    +

    1167 # we need typehint 

    +

    1168 if dtype_hint is None: 

    +

    1169 msg = "Please specify a dtype_hint (np.floating, np.integer)." 

    +

    1170 raise ValueError(msg) 

    +

    1171 

    +

    1172 # determine new dtype 

    +

    1173 new_dtype = self.itype if dtype_hint == np.integer else self.ftype 

    +

    1174 

    +

    1175 # log conversion 

    +

    1176 msg = "Converting array from %s to %s" 

    +

    1177 LOGGER.info(msg, value.dtype, new_dtype) 

    +

    1178 

    +

    1179 # warn if convert between int and float (possible bugs) 

    +

    1180 if not np.issubdtype(value.dtype, dtype_hint): 

    +

    1181 LOGGER.warning(msg, value.dtype, new_dtype) 

    +

    1182 

    +

    1183 value = value.astype(new_dtype) 

    +

    1184 

    +

    1185 return value.tobytes() 

    +

    1186 

    +

    1187 msg = "Cannot deserialize type '%s' of value '%s' for writing." 

    +

    1188 raise RuntimeError(msg, type(value), value) 

    +

    1189 

    +

    1190 def count_array_state_var( 

    +

    1191 self, array_type: str, dimension_names: List[str], has_layers: bool, n_layers: int = 0 

    +

    1192 ) -> Tuple[int, int]: 

    +

    1193 """This functions checks and updates the variable count for certain types of arrays 

    +

    1194 

    +

    1195 Parameters 

    +

    1196 ---------- 

    +

    1197 array_type: str 

    +

    1198 name of the shell layer array 

    +

    1199 dimension_names: List[str] 

    +

    1200 names of the array dimensions 

    +

    1201 has_layers: bool 

    +

    1202 if the array has integration layers 

    +

    1203 n_layers: int 

    +

    1204 number of (previous) shell layers, if unknown set to 0 

    +

    1205 

    +

    1206 Returns 

    +

    1207 ------- 

    +

    1208 n_vars: int 

    +

    1209 variable count 

    +

    1210 n_layers: int 

    +

    1211 number of layers 

    +

    1212 

    +

    1213 Raises 

    +

    1214 ------ 

    +

    1215 ValueError 

    +

    1216 If the dimensions of the array were invalid or an inconsistent 

    +

    1217 number of integration layers was detected. 

    +

    1218 """ 

    +

    1219 

    +

    1220 n_vars = 0 

    +

    1221 

    +

    1222 if array_type in self.d3plot.arrays: 

    +

    1223 array = self.d3plot.arrays[array_type] 

    +

    1224 

    +

    1225 if array.ndim != len(dimension_names): 

    +

    1226 msg = "Array '{0}' was expected to have {1} dimensions ({2})." 

    +

    1227 raise ValueError( 

    +

    1228 msg.format(array_type, len(dimension_names), ", ".join(dimension_names)) 

    +

    1229 ) 

    +

    1230 

    +

    1231 if has_layers: 

    +

    1232 if n_layers == 0: 

    +

    1233 n_layers = array.shape[2] 

    +

    1234 else: 

    +

    1235 if n_layers != array.shape[2]: 

    +

    1236 msg = ( 

    +

    1237 "Array '{0}' has '{1}' integration layers" 

    +

    1238 " but another array used '{2}'." 

    +

    1239 ) 

    +

    1240 raise ValueError(msg.format(array_type, array.shape[2], n_layers)) 

    +

    1241 

    +

    1242 # last dimension is collapsed 

    +

    1243 if array.ndim == 3: 

    +

    1244 n_vars = 1 * n_layers 

    +

    1245 else: 

    +

    1246 n_vars = array.shape[3] * n_layers 

    +

    1247 

    +

    1248 # no layers 

    +

    1249 else: 

    +

    1250 

    +

    1251 # last dimension is collapsed 

    +

    1252 if array.ndim == 2: 

    +

    1253 n_vars = 1 

    +

    1254 else: 

    +

    1255 n_vars = array.shape[2] 

    +

    1256 

    +

    1257 return n_vars, n_layers 

    +

    1258 

    +

    1259 

    +

    1260@dataclass 

    +

    1261class MemoryInfo: 

    +

    1262 """MemoryInfo contains info about memory regions in files""" 

    +

    1263 

    +

    1264 start: int = 0 

    +

    1265 length: int = 0 

    +

    1266 filepath: str = "" 

    +

    1267 n_states: int = 0 

    +

    1268 filesize: int = 0 

    +

    1269 use_mmap: bool = False 

    +

    1270 

    +

    1271 

    +

    1272class FemzipInfo: 

    +

    1273 """FemzipInfo contains information and wrappers for the femzip api""" 

    +

    1274 

    +

    1275 api: FemzipAPI 

    +

    1276 n_states: int = 0 

    +

    1277 buffer_info: FemzipBufferInfo 

    +

    1278 use_femzip: bool = False 

    +

    1279 

    +

    1280 def __init__(self, filepath: str = ""): 

    +

    1281 self.api = FemzipAPI() 

    +

    1282 self.buffer_info = FemzipBufferInfo() 

    +

    1283 

    +

    1284 if filepath: 

    +

    1285 tmp_header = D3plotHeader().load_file(filepath) 

    +

    1286 self.use_femzip = tmp_header.has_femzip_indicator 

    +

    1287 

    +

    1288 if self.use_femzip: 

    +

    1289 # there is a lot to go wrong 

    +

    1290 try: 

    +

    1291 self.buffer_info = self.api.get_buffer_info(filepath) 

    +

    1292 # loading femzip api failed 

    +

    1293 except Exception as err: 

    +

    1294 raise RuntimeError(f"Failed to use Femzip: {err}") from err 

    +

    1295 

    +

    1296 

    +

    1297class MaterialSectionInfo: 

    +

    1298 """MaterialSectionInfo contains vars from the material section""" 

    +

    1299 

    +

    1300 n_rigid_shells: int = 0 

    +

    1301 

    +

    1302 

    +

    1303class SphSectionInfo: 

    +

    1304 """SphSectionInfo contains vars from the sph geometry section""" 

    +

    1305 

    +

    1306 n_sph_array_length: int = 11 

    +

    1307 n_sph_vars: int = 0 

    +

    1308 has_influence_radius: bool = False 

    +

    1309 has_particle_pressure: bool = False 

    +

    1310 has_stresses: bool = False 

    +

    1311 has_plastic_strain: bool = False 

    +

    1312 has_material_density: bool = False 

    +

    1313 has_internal_energy: bool = False 

    +

    1314 has_n_affecting_neighbors: bool = False 

    +

    1315 has_strain_and_strainrate: bool = False 

    +

    1316 has_true_strains: bool = False 

    +

    1317 has_mass: bool = False 

    +

    1318 n_sph_history_vars: int = 0 

    +

    1319 

    +

    1320 

    +

    1321class AirbagInfo: 

    +

    1322 """AirbagInfo contains vars used to describe the sph geometry section""" 

    +

    1323 

    +

    1324 n_geometric_variables: int = 0 

    +

    1325 n_airbag_state_variables: int = 0 

    +

    1326 n_particle_state_variables: int = 0 

    +

    1327 n_particles: int = 0 

    +

    1328 n_airbags: int = 0 

    +

    1329 # ? 

    +

    1330 subver: int = 0 

    +

    1331 n_chambers: int = 0 

    +

    1332 

    +

    1333 def get_n_variables(self) -> int: 

    +

    1334 """Get the number of airbag variables 

    +

    1335 

    +

    1336 Returns 

    +

    1337 ------- 

    +

    1338 n_airbag_vars: int 

    +

    1339 number of airbag vars 

    +

    1340 """ 

    +

    1341 return ( 

    +

    1342 self.n_geometric_variables 

    +

    1343 + self.n_particle_state_variables 

    +

    1344 + self.n_airbag_state_variables 

    +

    1345 ) 

    +

    1346 

    +

    1347 

    +

    1348class NumberingInfo: 

    +

    1349 """NumberingInfo contains vars from the part numbering section (ids)""" 

    +

    1350 

    +

    1351 # the value(s) of ptr is initialized 

    +

    1352 # as 1 since we need to make it 

    +

    1353 # negative if part_ids are written 

    +

    1354 # to file and 0 cannot do that ... 

    +

    1355 # This is ok for self-made D3plots 

    +

    1356 # since these fields are unused anyway 

    +

    1357 ptr_node_ids: int = 1 

    +

    1358 has_material_ids: bool = False 

    +

    1359 ptr_solid_ids: int = 1 

    +

    1360 ptr_beam_ids: int = 1 

    +

    1361 ptr_shell_ids: int = 1 

    +

    1362 ptr_thick_shell_ids: int = 1 

    +

    1363 n_nodes: int = 0 

    +

    1364 n_solids: int = 0 

    +

    1365 n_beams: int = 0 

    +

    1366 n_shells: int = 0 

    +

    1367 n_thick_shells: int = 0 

    +

    1368 ptr_material_ids: int = 1 

    +

    1369 ptr_material_ids_defined_order: int = 1 

    +

    1370 ptr_material_ids_crossref: int = 1 

    +

    1371 n_parts: int = 0 

    +

    1372 n_parts2: int = 0 

    +

    1373 n_rigid_bodies: int = 0 

    +

    1374 

    +

    1375 

    +

    1376@dataclass 

    +

    1377class RigidBodyMetadata: 

    +

    1378 """RigidBodyMetadata contains vars from the rigid body metadata section. 

    +

    1379 This section comes before the individual rigid body data. 

    +

    1380 """ 

    +

    1381 

    +

    1382 internal_number: int 

    +

    1383 n_nodes: int 

    +

    1384 node_indexes: np.ndarray 

    +

    1385 n_active_nodes: int 

    +

    1386 active_node_indexes: np.ndarray 

    +

    1387 

    +

    1388 

    +

    1389class RigidBodyInfo: 

    +

    1390 """RigidBodyMetadata contains vars for the individual rigid bodies""" 

    +

    1391 

    +

    1392 rigid_body_metadata_list: Iterable[RigidBodyMetadata] 

    +

    1393 n_rigid_bodies: int = 0 

    +

    1394 

    +

    1395 def __init__( 

    +

    1396 self, rigid_body_metadata_list: Iterable[RigidBodyMetadata], n_rigid_bodies: int = 0 

    +

    1397 ): 

    +

    1398 self.rigid_body_metadata_list = rigid_body_metadata_list 

    +

    1399 self.n_rigid_bodies = n_rigid_bodies 

    +

    1400 

    +

    1401 

    +

    1402class RigidRoadInfo: 

    +

    1403 """RigidRoadInfo contains metadata for the description of rigid roads""" 

    +

    1404 

    +

    1405 n_nodes: int = 0 

    +

    1406 n_road_segments: int = 0 

    +

    1407 n_roads: int = 0 

    +

    1408 # ? 

    +

    1409 motion: int = 0 

    +

    1410 

    +

    1411 def __init__( 

    +

    1412 self, n_nodes: int = 0, n_road_segments: int = 0, n_roads: int = 0, motion: int = 0 

    +

    1413 ): 

    +

    1414 self.n_nodes = n_nodes 

    +

    1415 self.n_road_segments = n_road_segments 

    +

    1416 self.n_roads = n_roads 

    +

    1417 self.motion = motion 

    +

    1418 

    +

    1419 

    +

    1420class StateInfo: 

    +

    1421 """StateInfo holds metadata for states which is currently solely the timestep. 

    +

    1422 We all had bigger plans in life ... 

    +

    1423 """ 

    +

    1424 

    +

    1425 n_timesteps: int = 0 

    +

    1426 

    +

    1427 def __init__(self, n_timesteps: int = 0): 

    +

    1428 self.n_timesteps = n_timesteps 

    +

    1429 

    +

    1430 

    +

    1431class D3plot: 

    +

    1432 """Class used to read LS-Dyna d3plots""" 

    +

    1433 

    +

    1434 _header: D3plotHeader 

    +

    1435 _femzip_info: FemzipInfo 

    +

    1436 _material_section_info: MaterialSectionInfo 

    +

    1437 _sph_info: SphSectionInfo 

    +

    1438 _airbag_info: AirbagInfo 

    +

    1439 _numbering_info: NumberingInfo 

    +

    1440 _rigid_body_info: RigidBodyInfo 

    +

    1441 _rigid_road_info: RigidRoadInfo 

    +

    1442 _buffer: Union[BinaryBuffer, None] = None 

    +

    1443 

    +

    1444 # we all love secret settings 

    +

    1445 use_advanced_femzip_api: bool = False 

    +

    1446 

    +

    1447 # This amount of args is needed 

    +

    1448 # pylint: disable = too-many-arguments, too-many-statements, unused-argument 

    +

    1449 def __init__( 

    +

    1450 self, 

    +

    1451 filepath: str = None, 

    +

    1452 use_femzip: Union[bool, None] = None, 

    +

    1453 n_files_to_load_at_once: Union[int, None] = None, 

    +

    1454 state_array_filter: Union[List[str], None] = None, 

    +

    1455 state_filter: Union[None, Set[int]] = None, 

    +

    1456 buffered_reading: bool = False, 

    +

    1457 ): 

    +

    1458 """Constructor for a D3plot 

    +

    1459 

    +

    1460 Parameters 

    +

    1461 ---------- 

    +

    1462 filepath: str 

    +

    1463 path to a d3plot file 

    +

    1464 use_femzip: bool 

    +

    1465 Not used anymore. 

    +

    1466 n_files_to_load_at_once: int 

    +

    1467 *DEPRECATED* not used anymore, use `buffered_reading` 

    +

    1468 state_array_filter: Union[List[str], None] 

    +

    1469 names of arrays which will be the only ones loaded from state data 

    +

    1470 state_filter: Union[None, Set[int]] 

    +

    1471 which states to load. Negative indexes count backwards. 

    +

    1472 buffered_reading: bool 

    +

    1473 whether to pull only a single state into memory during reading 

    +

    1474 

    +

    1475 Examples 

    +

    1476 -------- 

    +

    1477 >>> from lasso.dyna import D3plot, ArrayType 

    +

    1478 >>> # open and read everything 

    +

    1479 >>> d3plot = D3plot("path/to/d3plot") 

    +

    1480 

    +

    1481 >>> # only read node displacement 

    +

    1482 >>> d3plot = D3plot("path/to/d3plot", state_array_filter=["node_displacement"]) 

    +

    1483 >>> # or with nicer syntax 

    +

    1484 >>> d3plot = D3plot("path/to/d3plot", state_array_filter=[ArrayType.node_displacement]) 

    +

    1485 

    +

    1486 >>> # only load first and last state 

    +

    1487 >>> d3plot = D3plot("path/to/d3plot", state_filter={0, -1}) 

    +

    1488 

    +

    1489 >>> # our computer lacks RAM so lets extract a specific array 

    +

    1490 >>> # but only keep one state at a time in memory 

    +

    1491 >>> d3plot = D3plot("path/to/d3plot", 

    +

    1492 >>> state_array_filter=[ArrayType.node_displacement], 

    +

    1493 >>> buffered_reading=True) 

    +

    1494 

    +

    1495 Notes 

    +

    1496 ----- 

    +

    1497 If dyna wrote multiple files for several states, 

    +

    1498 only give the path to the first file. 

    +

    1499 """ 

    +

    1500 super().__init__() 

    +

    1501 

    +

    1502 LOGGER.debug("-------- D 3 P L O T --------") 

    +

    1503 

    +

    1504 self._arrays = {} 

    +

    1505 self._header = D3plotHeader() 

    +

    1506 self._femzip_info = FemzipInfo(filepath=filepath if filepath is not None else "") 

    +

    1507 self._material_section_info = MaterialSectionInfo() 

    +

    1508 self._sph_info = SphSectionInfo() 

    +

    1509 self._airbag_info = AirbagInfo() 

    +

    1510 self._numbering_info = NumberingInfo() 

    +

    1511 self._rigid_body_info = RigidBodyInfo(rigid_body_metadata_list=tuple()) 

    +

    1512 self._rigid_road_info = RigidRoadInfo() 

    +

    1513 self._state_info = StateInfo() 

    +

    1514 

    +

    1515 # which states to load 

    +

    1516 self.state_filter = state_filter 

    +

    1517 

    +

    1518 # how many files to load into memory at once 

    +

    1519 if n_files_to_load_at_once is not None: 

    +

    1520 warn_msg = "D3plot argument '{0}' is deprecated. Please use '{1}=True'." 

    +

    1521 raise DeprecationWarning(warn_msg.format("n_files_to_load_at_once", "buffered_reading")) 

    +

    1522 self.buffered_reading = buffered_reading or (state_filter is not None and any(state_filter)) 

    +

    1523 

    +

    1524 # arrays to filter out 

    +

    1525 self.state_array_filter = state_array_filter 

    +

    1526 

    +

    1527 # load memory accordingly 

    +

    1528 # no femzip 

    +

    1529 if filepath and not self._femzip_info.use_femzip: 

    +

    1530 self._buffer = BinaryBuffer(filepath) 

    +

    1531 self.bb_states = None 

    +

    1532 # femzip 

    +

    1533 elif filepath and self._femzip_info.use_femzip: 

    +

    1534 self._buffer = self._read_femzip_geometry(filepath) 

    +

    1535 # we need to reload the header 

    +

    1536 self._header = D3plotHeader().load_file(self._buffer) 

    +

    1537 self.bb_states = None 

    +

    1538 # no data to load basically 

    +

    1539 else: 

    +

    1540 self._buffer = None 

    +

    1541 self.bb_states = None 

    +

    1542 

    +

    1543 self.geometry_section_size = 0 

    +

    1544 

    +

    1545 # read header 

    +

    1546 self._read_header() 

    +

    1547 

    +

    1548 # read geometry 

    +

    1549 self._parse_geometry() 

    +

    1550 

    +

    1551 # read state data 

    +

    1552 

    +

    1553 # try advanced femzip api 

    +

    1554 if ( 

    +

    1555 filepath 

    +

    1556 and self._femzip_info.use_femzip 

    +

    1557 and self.use_advanced_femzip_api 

    +

    1558 and self._femzip_info.api.has_femunziplib_license() 

    +

    1559 ): 

    +

    1560 

    +

    1561 LOGGER.debug("Advanced FEMZIP-API used") 

    +

    1562 try: 

    +

    1563 self._read_states_femzip_advanced( 

    +

    1564 filepath, 

    +

    1565 ) 

    +

    1566 except Exception: 

    +

    1567 trace = traceback.format_exc() 

    +

    1568 warn_msg = ( 

    +

    1569 "Error when using advanced Femzip API, " 

    +

    1570 "falling back to normal but slower Femzip API.\n%s" 

    +

    1571 ) 

    +

    1572 LOGGER.warning(warn_msg, trace) 

    +

    1573 

    +

    1574 # since we had a crash, we need to reload the file 

    +

    1575 # to be sure we don't crash again 

    +

    1576 self._femzip_info.api.close_current_file() 

    +

    1577 self._femzip_info.api.read_geometry(filepath, self._femzip_info.buffer_info, False) 

    +

    1578 # try normal femzip api 

    +

    1579 self._read_states(filepath) 

    +

    1580 finally: 

    +

    1581 self._femzip_info.api.close_current_file() 

    +

    1582 

    +

    1583 # normal state reading (femzip and non-femzip) 

    +

    1584 elif filepath: 

    +

    1585 self._read_states(filepath) 

    +

    1586 if self._femzip_info.use_femzip: 

    +

    1587 self._femzip_info.api.close_current_file() 

    +

    1588 else: 

    +

    1589 # no filepath = nothing to do 

    +

    1590 pass 

    +

    1591 

    +

    1592 def _read_femzip_geometry(self, filepath: str) -> BinaryBuffer: 

    +

    1593 """Read the geometry from femzip 

    +

    1594 

    +

    1595 Parameters 

    +

    1596 ---------- 

    +

    1597 filepath: str 

    +

    1598 path to the femzpi file 

    +

    1599 

    +

    1600 Returns 

    +

    1601 ------- 

    +

    1602 bb: BinaryBuffer 

    +

    1603 memory of the geometry section 

    +

    1604 """ 

    +

    1605 

    +

    1606 buffer_geo = self._femzip_info.api.read_geometry( 

    +

    1607 filepath, buffer_info=self._femzip_info.buffer_info, close_file=False 

    +

    1608 ) 

    +

    1609 

    +

    1610 # save 

    +

    1611 buffer = BinaryBuffer() 

    +

    1612 buffer.filepath_ = filepath 

    +

    1613 buffer.memoryview = buffer_geo.cast("B") 

    +

    1614 

    +

    1615 return buffer 

    +

    1616 

    +

    1617 @property 

    +

    1618 def n_timesteps(self) -> int: 

    +

    1619 """Number of timesteps loaded""" 

    +

    1620 return self._state_info.n_timesteps 

    +

    1621 

    +

    1622 @property 

    +

    1623 def arrays(self) -> dict: 

    +

    1624 """Dictionary holding all d3plot arrays 

    +

    1625 

    +

    1626 Notes 

    +

    1627 ----- 

    +

    1628 The corresponding keys of the dictionary can 

    +

    1629 also be found in `lasso.dyna.ArrayTypes`, which 

    +

    1630 helps with IDE integration and code safety. 

    +

    1631 

    +

    1632 Examples 

    +

    1633 -------- 

    +

    1634 >>> d3plot = D3plot("some/path/to/d3plot") 

    +

    1635 >>> d3plot.arrays.keys() 

    +

    1636 dict_keys(['irbtyp', 'node_coordinates', ...]) 

    +

    1637 >>> # The following is good coding practice 

    +

    1638 >>> import lasso.dyna.ArrayTypes.ArrayTypes as atypes 

    +

    1639 >>> d3plot.arrays[atypes.node_displacmeent].shape 

    +

    1640 """ 

    +

    1641 return self._arrays 

    +

    1642 

    +

    1643 @arrays.setter 

    +

    1644 def arrays(self, array_dict: dict): 

    +

    1645 assert isinstance(array_dict, dict) 

    +

    1646 self._arrays = array_dict 

    +

    1647 

    +

    1648 @property 

    +

    1649 def header(self) -> D3plotHeader: 

    +

    1650 """Instance holding all d3plot header information 

    +

    1651 

    +

    1652 Returns 

    +

    1653 ------- 

    +

    1654 header: D3plotHeader 

    +

    1655 header of the d3plot 

    +

    1656 

    +

    1657 Notes 

    +

    1658 ----- 

    +

    1659 The header contains a lot of information such as number 

    +

    1660 of elements, etc. 

    +

    1661 

    +

    1662 Examples 

    +

    1663 -------- 

    +

    1664 >>> d3plot = D3plot("some/path/to/d3plot") 

    +

    1665 >>> # number of shells 

    +

    1666 >>> d3plot.header.n_shells 

    +

    1667 85624 

    +

    1668 """ 

    +

    1669 return self._header 

    +

    1670 

    +

    1671 @staticmethod 

    +

    1672 def _is_end_of_file_marker( 

    +

    1673 buffer: BinaryBuffer, position: int, ftype: Union[np.float32, np.float64] 

    +

    1674 ) -> bool: 

    +

    1675 """Check for the dyna eof marker at a certain position 

    +

    1676 

    +

    1677 Parameters 

    +

    1678 ---------- 

    +

    1679 bb: BinaryBuffer 

    +

    1680 buffer holding memory 

    +

    1681 position: int 

    +

    1682 position in the buffer 

    +

    1683 ftype: Union[np.float32, np.float64] 

    +

    1684 floating point type 

    +

    1685 

    +

    1686 Returns 

    +

    1687 ------- 

    +

    1688 is_end_marker: bool 

    +

    1689 if at the position is an end marker 

    +

    1690 

    +

    1691 Notes 

    +

    1692 ----- 

    +

    1693 The end of file marker is represented by a floating point 

    +

    1694 number with the value -999999 (single precision hex: F02374C9, 

    +

    1695 double precision hex: 000000007E842EC1). 

    +

    1696 """ 

    +

    1697 

    +

    1698 if ftype not in (np.float32, np.float64): 

    +

    1699 err_msg = "Floating point type '{0}' is not a floating point type." 

    +

    1700 raise ValueError(err_msg.format(ftype)) 

    +

    1701 

    +

    1702 return buffer.read_number(position, ftype) == ftype(-999999) 

    +

    1703 

    +

    1704 def _correct_file_offset(self): 

    +

    1705 """Correct the position in the bytes 

    +

    1706 

    +

    1707 Notes 

    +

    1708 ----- 

    +

    1709 LS-Dyna writes its files zero padded at a size of 

    +

    1710 512 words in block size. There might be a lot of 

    +

    1711 unused trailing data in the rear we need to skip 

    +

    1712 in order to get to the next useful data block. 

    +

    1713 """ 

    +

    1714 

    +

    1715 if not self._buffer: 

    +

    1716 return 

    +

    1717 

    +

    1718 block_count = len(self._buffer) // (512 * self.header.wordsize) 

    +

    1719 

    +

    1720 # Warning! 

    +

    1721 # Resets the block count! 

    +

    1722 self.geometry_section_size = (block_count + 1) * 512 * self.header.wordsize 

    +

    1723 

    +

    1724 @property 

    +

    1725 def _n_parts(self) -> int: 

    +

    1726 """Get the number of parts contained in the d3plot 

    +

    1727 

    +

    1728 Returns 

    +

    1729 ------- 

    +

    1730 n_parts: int 

    +

    1731 number of total parts 

    +

    1732 """ 

    +

    1733 

    +

    1734 n_parts = ( 

    +

    1735 self.header.n_solid_materials 

    +

    1736 + self.header.n_beam_materials 

    +

    1737 + self.header.n_shell_materials 

    +

    1738 + self.header.n_thick_shell_materials 

    +

    1739 + self._numbering_info.n_rigid_bodies 

    +

    1740 ) 

    +

    1741 

    +

    1742 return n_parts 

    +

    1743 

    +

    1744 @property 

    +

    1745 def _n_rigid_walls(self) -> int: 

    +

    1746 """Get the number of rigid walls in the d3plot 

    +

    1747 

    +

    1748 Returns 

    +

    1749 ------- 

    +

    1750 n_rigid_walls: int 

    +

    1751 number of rigid walls 

    +

    1752 """ 

    +

    1753 

    +

    1754 # there have been cases that there are less than in the specs 

    +

    1755 # indicated global vars. That breaks this computation, thus we 

    +

    1756 # use max at the end. 

    +

    1757 previous_global_vars = 6 + 7 * self._n_parts 

    +

    1758 n_rigid_wall_vars = self.header.n_rigid_wall_vars 

    +

    1759 n_rigid_walls = (self.header.n_global_vars - previous_global_vars) // n_rigid_wall_vars 

    +

    1760 

    +

    1761 # if n_rigid_walls < 0: 

    +

    1762 # err_msg = "The computed number of rigid walls is negative ('{0}')." 

    +

    1763 # raise RuntimeError(err_msg.format(n_rigid_walls)) 

    +

    1764 

    +

    1765 return max(n_rigid_walls, 0) 

    +

    1766 

    +

    1767 # pylint: disable = unused-argument, too-many-locals 

    +

    1768 def _read_d3plot_file_generator( 

    +

    1769 self, buffered_reading: bool, state_filter: Union[None, Set[int]] 

    +

    1770 ) -> typing.Any: 

    +

    1771 """Generator function for reading bare d3plot files 

    +

    1772 

    +

    1773 Parameters 

    +

    1774 ---------- 

    +

    1775 buffered_reading: bool 

    +

    1776 whether to read one state at a time 

    +

    1777 state_filter: Union[None, Set[int]] 

    +

    1778 which states to filter out 

    +

    1779 

    +

    1780 Yields 

    +

    1781 ------ 

    +

    1782 buffer: BinaryBuffer 

    +

    1783 buffer for each file 

    +

    1784 n_states: int 

    +

    1785 number of states from second yield on 

    +

    1786 """ 

    +

    1787 

    +

    1788 # (1) STATES 

    +

    1789 # This is dangerous. The following routine requires data from 

    +

    1790 # several sections in the geometry part calling this too early crashes 

    +

    1791 bytes_per_state = self._compute_n_bytes_per_state() 

    +

    1792 file_infos = self._collect_file_infos(bytes_per_state) 

    +

    1793 

    +

    1794 # some status 

    +

    1795 n_files = len(file_infos) 

    +

    1796 n_states = sum(map(lambda file_info: file_info.n_states, file_infos)) 

    +

    1797 LOGGER.debug("n_files found: %d", n_files) 

    +

    1798 LOGGER.debug("n_states estimated: %d", n_states) 

    +

    1799 

    +

    1800 # convert negative state indexes into positive ones 

    +

    1801 if state_filter is not None: 

    +

    1802 state_filter = _negative_to_positive_state_indexes(state_filter, n_states) 

    +

    1803 

    +

    1804 # if using buffered reading, we load one state at a time 

    +

    1805 # into memory 

    +

    1806 if buffered_reading: 

    +

    1807 file_infos_tmp: List[MemoryInfo] = [] 

    +

    1808 n_previous_states = 0 

    +

    1809 for minfo in file_infos: 

    +

    1810 for i_file_state in range(minfo.n_states): 

    +

    1811 i_global_state = n_previous_states + i_file_state 

    +

    1812 

    +

    1813 # do we need to skip this one 

    +

    1814 if state_filter and i_global_state not in state_filter: 

    +

    1815 continue 

    +

    1816 

    +

    1817 file_infos_tmp.append( 

    +

    1818 MemoryInfo( 

    +

    1819 start=minfo.start + i_file_state * bytes_per_state, 

    +

    1820 length=bytes_per_state, 

    +

    1821 filepath=minfo.filepath, 

    +

    1822 n_states=1, 

    +

    1823 filesize=minfo.filesize, 

    +

    1824 use_mmap=minfo.n_states != 1, 

    +

    1825 ) 

    +

    1826 ) 

    +

    1827 

    +

    1828 n_previous_states += minfo.n_states 

    +

    1829 file_infos = file_infos_tmp 

    +

    1830 

    +

    1831 LOGGER.debug("buffers: %s", pprint.pformat([info.__dict__ for info in file_infos])) 

    +

    1832 

    +

    1833 # number of states and if buffered reading is used 

    +

    1834 n_states_selected = sum(map(lambda file_info: file_info.n_states, file_infos)) 

    +

    1835 yield n_states_selected 

    +

    1836 

    +

    1837 sub_file_infos = [file_infos] if not buffered_reading else [[info] for info in file_infos] 

    +

    1838 for sub_file_info_list in sub_file_infos: 

    +

    1839 buffer, n_states = D3plot._read_file_from_memory_info(sub_file_info_list) 

    +

    1840 yield buffer, n_states 

    +

    1841 

    +

    1842 def _read_femzip_file_generator( 

    +

    1843 self, buffered_reading: bool, state_filter: Union[None, Set[int]] 

    +

    1844 ) -> typing.Any: 

    +

    1845 """Generator function for reading femzipped d3plot files 

    +

    1846 

    +

    1847 Parameters 

    +

    1848 ---------- 

    +

    1849 buffered_reading: bool 

    +

    1850 load state by state 

    +

    1851 state_filter: Union[None, Set[int]] 

    +

    1852 which states to filter out 

    +

    1853 

    +

    1854 Yields 

    +

    1855 ------ 

    +

    1856 buffer: BinaryBuffer 

    +

    1857 binary buffer of a file 

    +

    1858 n_states: int 

    +

    1859 from second yield on, number of states for buffers 

    +

    1860 """ 

    +

    1861 

    +

    1862 femzip_api = self._femzip_info.api 

    +

    1863 

    +

    1864 # (1) STATES 

    +

    1865 # number of states and if buffered reading is used 

    +

    1866 buffer_info = self._femzip_info.buffer_info 

    +

    1867 n_timesteps: int = buffer_info.n_timesteps 

    +

    1868 

    +

    1869 # convert negative filter indexes 

    +

    1870 state_filter_parsed: Set[int] = set() 

    +

    1871 if state_filter is not None: 

    +

    1872 state_filter_parsed = _negative_to_positive_state_indexes(state_filter, n_timesteps) 

    +

    1873 n_states_to_load = len(state_filter) 

    +

    1874 else: 

    +

    1875 n_states_to_load = n_timesteps 

    +

    1876 state_filter_parsed = set(range(n_timesteps)) 

    +

    1877 

    +

    1878 yield n_states_to_load 

    +

    1879 

    +

    1880 n_files_to_load_at_once = n_timesteps if not buffered_reading else 1 

    +

    1881 # pylint: disable = invalid-name 

    +

    1882 BufferStateType = ctypes.c_float * (buffer_info.size_state * n_files_to_load_at_once) 

    +

    1883 buffer_state = BufferStateType() 

    +

    1884 

    +

    1885 buffer = BinaryBuffer() 

    +

    1886 buffer.memoryview = memoryview(buffer_state) 

    +

    1887 

    +

    1888 # do the thing 

    +

    1889 i_timesteps_read = 0 

    +

    1890 max_timestep = max(state_filter_parsed) if state_filter_parsed else 0 

    +

    1891 for i_timestep in range(n_timesteps): 

    +

    1892 

    +

    1893 # buffer offset 

    +

    1894 buffer_current_state = buffer.memoryview[i_timesteps_read * buffer_info.size_state :] 

    +

    1895 

    +

    1896 # read state 

    +

    1897 femzip_api.read_single_state(i_timestep, buffer_info, state_buffer=buffer_current_state) 

    +

    1898 

    +

    1899 if i_timestep in state_filter_parsed: 

    +

    1900 i_timesteps_read += 1 

    +

    1901 

    +

    1902 # Note: 

    +

    1903 # the buffer is re-used here! This saves memory BUT 

    +

    1904 # if memory is not copied we overwrite the same again and again 

    +

    1905 # This is ok for buffered reading thus indirectly safe 

    +

    1906 # since elsewhere the arrays get copied but keep it in mind! 

    +

    1907 if i_timesteps_read != 0 and i_timesteps_read % n_files_to_load_at_once == 0: 

    +

    1908 yield buffer, i_timesteps_read 

    +

    1909 i_timesteps_read = 0 

    +

    1910 

    +

    1911 # stop in case we have everything we needed 

    +

    1912 if i_timestep >= max_timestep: 

    +

    1913 if i_timesteps_read != 0: 

    +

    1914 yield buffer, i_timesteps_read 

    +

    1915 break 

    +

    1916 

    +

    1917 # do the thing 

    +

    1918 femzip_api.close_current_file() 

    +

    1919 

    +

    1920 def _read_states_femzip_advanced(self, filepath: str) -> None: 

    +

    1921 """Read d3plot variables with advanced femzip API 

    +

    1922 

    +

    1923 Parameters 

    +

    1924 ---------- 

    +

    1925 filepath: str 

    +

    1926 path to the femzipped d3plot 

    +

    1927 """ 

    +

    1928 

    +

    1929 # convert filter 

    +

    1930 d3plot_array_filter = set(self.state_array_filter) if self.state_array_filter else None 

    +

    1931 

    +

    1932 # what vars are inside? 

    +

    1933 api = self._femzip_info.api 

    +

    1934 file_metadata = api.get_file_metadata(filepath) 

    +

    1935 

    +

    1936 if file_metadata.number_of_timesteps <= 0: 

    +

    1937 return 

    +

    1938 

    +

    1939 # filter femzip vars according to requested d3plot vars 

    +

    1940 file_metadata_filtered = filter_femzip_variables( 

    +

    1941 file_metadata, 

    +

    1942 d3plot_array_filter, 

    +

    1943 ) 

    +

    1944 

    +

    1945 # read femzip arrays 

    +

    1946 result_arrays = api.read_variables( 

    +

    1947 file_metadata=file_metadata_filtered, 

    +

    1948 n_parts=self.header.n_parts, 

    +

    1949 n_rigid_walls=self._n_rigid_walls, 

    +

    1950 n_rigid_wall_vars=self.header.n_rigid_wall_vars, 

    +

    1951 n_airbag_particles=self._airbag_info.n_particles, 

    +

    1952 n_airbags=self._airbag_info.n_airbags, 

    +

    1953 state_filter=self.state_filter, 

    +

    1954 ) 

    +

    1955 

    +

    1956 # special case arrays which need extra parsing 

    +

    1957 keys_to_remove = [] 

    +

    1958 for (fz_index, fz_name, fz_cat), array in result_arrays.items(): 

    +

    1959 

    +

    1960 # global vars 

    +

    1961 if fz_cat == FemzipVariableCategory.GLOBAL: 

    +

    1962 keys_to_remove.append((fz_index, fz_name, fz_cat)) 

    +

    1963 self._read_states_globals( 

    +

    1964 state_data=array, 

    +

    1965 var_index=0, 

    +

    1966 array_dict=self.arrays, 

    +

    1967 ) 

    +

    1968 

    +

    1969 # parts and rigid walls 

    +

    1970 elif fz_cat == FemzipVariableCategory.PART: 

    +

    1971 keys_to_remove.append((fz_index, fz_name, fz_cat)) 

    +

    1972 

    +

    1973 var_index = self._read_states_parts( 

    +

    1974 state_data=array, var_index=0, array_dict=self.arrays 

    +

    1975 ) 

    +

    1976 

    +

    1977 self._read_states_rigid_walls( 

    +

    1978 state_data=array, var_index=var_index, array_dict=self.arrays 

    +

    1979 ) 

    +

    1980 

    +

    1981 for key in keys_to_remove: 

    +

    1982 del result_arrays[key] 

    +

    1983 

    +

    1984 # transfer arrays 

    +

    1985 mapper = FemzipMapper() 

    +

    1986 mapper.map(result_arrays) 

    +

    1987 

    +

    1988 # save arrays 

    +

    1989 for plt_name, arr in mapper.d3plot_arrays.items(): 

    +

    1990 

    +

    1991 # femzip sometimes stores strain in solid history vars 

    +

    1992 # but also sometimes separately 

    +

    1993 if ( 

    +

    1994 plt_name == ArrayType.element_solid_history_variables 

    +

    1995 and self.header.has_element_strain 

    +

    1996 and ArrayType.element_solid_strain not in mapper.d3plot_arrays 

    +

    1997 ): 

    +

    1998 self.arrays[ArrayType.element_solid_strain] = arr[:, :, :, :6] 

    +

    1999 tmp_array = arr[:, :, :, 6:] 

    +

    2000 if all(tmp_array.shape): 

    +

    2001 self.arrays[plt_name] = tmp_array 

    +

    2002 else: 

    +

    2003 self.arrays[plt_name] = arr 

    +

    2004 

    +

    2005 # ELEMENT DELETION 

    +

    2006 # 

    +

    2007 # somehow element deletion info is extra ... 

    +

    2008 # buffer_info 

    +

    2009 buffer_info = self._femzip_info.buffer_info 

    +

    2010 deletion_array = api.read_state_deletion_info( 

    +

    2011 buffer_info=buffer_info, state_filter=self.state_filter 

    +

    2012 ) 

    +

    2013 self._read_states_is_alive(state_data=deletion_array, var_index=0, array_dict=self.arrays) 

    +

    2014 

    +

    2015 # TIMESTEPS 

    +

    2016 timestep_array = np.array( 

    +

    2017 [buffer_info.timesteps[i_timestep] for i_timestep in range(buffer_info.n_timesteps)], 

    +

    2018 dtype=self.header.ftype, 

    +

    2019 ) 

    +

    2020 self.arrays[ArrayType.global_timesteps] = timestep_array 

    +

    2021 

    +

    2022 def _read_header(self): 

    +

    2023 """Read the d3plot header""" 

    +

    2024 

    +

    2025 LOGGER.debug("-------- H E A D E R --------") 

    +

    2026 

    +

    2027 if self._buffer: 

    +

    2028 self._header.load_file(self._buffer) 

    +

    2029 

    +

    2030 self.geometry_section_size = self._header.n_header_bytes 

    +

    2031 

    +

    2032 def _parse_geometry(self): 

    +

    2033 """Read the d3plot geometry""" 

    +

    2034 

    +

    2035 LOGGER.debug("------ G E O M E T R Y ------") 

    +

    2036 

    +

    2037 # read material section 

    +

    2038 self._read_material_section() 

    +

    2039 

    +

    2040 # read fluid material data 

    +

    2041 self._read_fluid_material_data() 

    +

    2042 

    +

    2043 # SPH element data flags 

    +

    2044 self._read_sph_element_data_flags() 

    +

    2045 

    +

    2046 # Particle Data 

    +

    2047 self._read_particle_data() 

    +

    2048 

    +

    2049 # Geometry Data 

    +

    2050 self._read_geometry_data() 

    +

    2051 

    +

    2052 # User Material, Node, Blabla IDs 

    +

    2053 self._read_user_ids() 

    +

    2054 

    +

    2055 # Rigid Body Description 

    +

    2056 self._read_rigid_body_description() 

    +

    2057 

    +

    2058 # Adapted Element Parent List 

    +

    2059 # manual says not implemented 

    +

    2060 

    +

    2061 # Smooth Particle Hydrodynamcis Node and Material list 

    +

    2062 self._read_sph_node_and_material_list() 

    +

    2063 

    +

    2064 # Particle Geometry Data 

    +

    2065 self._read_particle_geometry_data() 

    +

    2066 

    +

    2067 # Rigid Road Surface Data 

    +

    2068 self._read_rigid_road_surface() 

    +

    2069 

    +

    2070 # Connectivity for weirdo elements 

    +

    2071 # 10 Node Tetra 

    +

    2072 # 8 Node Shell 

    +

    2073 # 20 Node Solid 

    +

    2074 # 27 Node Solid 

    +

    2075 self._read_extra_node_connectivity() 

    +

    2076 

    +

    2077 # Header Part & Contact Interface Titles 

    +

    2078 # this is a class method since it is also needed elsewhere 

    +

    2079 self.geometry_section_size = self._read_header_part_contact_interface_titles( 

    +

    2080 self.header, 

    +

    2081 self._buffer, 

    +

    2082 self.geometry_section_size, # type: ignore 

    +

    2083 self.arrays, 

    +

    2084 ) 

    +

    2085 

    +

    2086 # Extra Data Types (for multi solver output) 

    +

    2087 # ... not supported 

    +

    2088 

    +

    2089 def _read_material_section(self): 

    +

    2090 """This function reads the material type section""" 

    +

    2091 

    +

    2092 if not self._buffer: 

    +

    2093 return 

    +

    2094 

    +

    2095 if not self.header.has_material_type_section: 

    +

    2096 return 

    +

    2097 

    +

    2098 LOGGER.debug("_read_material_section start at byte %d", self.geometry_section_size) 

    +

    2099 

    +

    2100 position = self.geometry_section_size 

    +

    2101 

    +

    2102 # failsafe 

    +

    2103 original_position = self.geometry_section_size 

    +

    2104 blocksize = (2 + self.header.n_parts) * self.header.wordsize 

    +

    2105 

    +

    2106 try: 

    +

    2107 

    +

    2108 # Material Type Data 

    +

    2109 # 

    +

    2110 # "This data is required because those shell elements 

    +

    2111 # that are in a rigid body have no element data output 

    +

    2112 # in the state data section." 

    +

    2113 # 

    +

    2114 # "The normal length of the shell element state data is: 

    +

    2115 # NEL4 * NV2D, when the MATTYP flag is set the length is: 

    +

    2116 # (NEL4 – NUMRBE) * NV2D. When reading the shell element data, 

    +

    2117 # the material number must be checked against IRBRTYP list to 

    +

    2118 # find the element’s material type. If the type = 20, then 

    +

    2119 # all the values for the element to zero." (Manual 03.2016) 

    +

    2120 

    +

    2121 self._material_section_info.n_rigid_shells = int( 

    +

    2122 self._buffer.read_number(position, self._header.itype) 

    +

    2123 ) # type: ignore 

    +

    2124 position += self.header.wordsize 

    +

    2125 

    +

    2126 test_nummat = self._buffer.read_number(position, self._header.itype) 

    +

    2127 position += self.header.wordsize 

    +

    2128 

    +

    2129 if test_nummat != self.header.n_parts: 

    +

    2130 raise RuntimeError( 

    +

    2131 "nmmat (header) != nmmat (material type data): " 

    +

    2132 f"{self.header.n_parts} != {test_nummat}", 

    +

    2133 ) 

    +

    2134 

    +

    2135 self.arrays[ArrayType.part_material_type] = self._buffer.read_ndarray( 

    +

    2136 position, self.header.n_parts * self.header.wordsize, 1, self.header.itype 

    +

    2137 ) 

    +

    2138 position += self.header.n_parts * self.header.wordsize 

    +

    2139 

    +

    2140 except Exception: 

    +

    2141 # print info 

    +

    2142 trb_msg = traceback.format_exc() 

    +

    2143 LOGGER.warning("A failure in %s was caught:\n%s", "_read_material_section", trb_msg) 

    +

    2144 

    +

    2145 # fix position 

    +

    2146 position = original_position + blocksize 

    +

    2147 

    +

    2148 self.geometry_section_size = position 

    +

    2149 LOGGER.debug("_read_material_section end at byte %d", self.geometry_section_size) 

    +

    2150 

    +

    2151 def _read_fluid_material_data(self): 

    +

    2152 """Read the fluid material data""" 

    +

    2153 

    +

    2154 if not self._buffer: 

    +

    2155 return 

    +

    2156 

    +

    2157 if self.header.n_ale_materials == 0: 

    +

    2158 return 

    +

    2159 

    +

    2160 LOGGER.debug("_read_fluid_material_data start at byte %d", self.geometry_section_size) 

    +

    2161 

    +

    2162 position = self.geometry_section_size 

    +

    2163 

    +

    2164 # safety 

    +

    2165 original_position = position 

    +

    2166 blocksize = self.header.n_ale_materials * self.header.wordsize 

    +

    2167 

    +

    2168 try: 

    +

    2169 # Fluid Material Data 

    +

    2170 array_length = self.header.n_ale_materials * self.header.wordsize 

    +

    2171 self.arrays[ArrayType.ale_material_ids] = self._buffer.read_ndarray( 

    +

    2172 position, array_length, 1, self.header.itype 

    +

    2173 ) # type: ignore 

    +

    2174 position += array_length 

    +

    2175 

    +

    2176 except Exception: 

    +

    2177 

    +

    2178 # print info 

    +

    2179 trb_msg = traceback.format_exc() 

    +

    2180 msg = "A failure in %s was caught:\n%s" 

    +

    2181 LOGGER.warning(msg, "_read_fluid_material_data", trb_msg) 

    +

    2182 

    +

    2183 # fix position 

    +

    2184 position = original_position + blocksize 

    +

    2185 

    +

    2186 # remember position 

    +

    2187 self.geometry_section_size = position 

    +

    2188 LOGGER.debug("_read_fluid_material_data end at byte %d", self.geometry_section_size) 

    +

    2189 

    +

    2190 def _read_sph_element_data_flags(self): 

    +

    2191 """Read the sph element data flags""" 

    +

    2192 

    +

    2193 if not self._buffer: 

    +

    2194 return 

    +

    2195 

    +

    2196 if not self.header.n_sph_nodes: 

    +

    2197 return 

    +

    2198 

    +

    2199 LOGGER.debug("_read_sph_element_data_flags start at byte %d", self.geometry_section_size) 

    +

    2200 

    +

    2201 position = self.geometry_section_size 

    +

    2202 

    +

    2203 sph_element_data_words = { 

    +

    2204 "isphfg1": (position, self._header.itype), 

    +

    2205 "isphfg2": (position + 1 * self.header.wordsize, self._header.itype), 

    +

    2206 "isphfg3": (position + 2 * self.header.wordsize, self._header.itype), 

    +

    2207 "isphfg4": (position + 3 * self.header.wordsize, self._header.itype), 

    +

    2208 "isphfg5": (position + 4 * self.header.wordsize, self._header.itype), 

    +

    2209 "isphfg6": (position + 5 * self.header.wordsize, self._header.itype), 

    +

    2210 "isphfg7": (position + 6 * self.header.wordsize, self._header.itype), 

    +

    2211 "isphfg8": (position + 7 * self.header.wordsize, self._header.itype), 

    +

    2212 "isphfg9": (position + 8 * self.header.wordsize, self._header.itype), 

    +

    2213 "isphfg10": (position + 9 * self.header.wordsize, self._header.itype), 

    +

    2214 "isphfg11": (position + 10 * self.header.wordsize, self._header.itype), 

    +

    2215 } 

    +

    2216 

    +

    2217 sph_header_data = self.header.read_words(self._buffer, sph_element_data_words) 

    +

    2218 

    +

    2219 self._sph_info.n_sph_array_length = sph_header_data["isphfg1"] 

    +

    2220 self._sph_info.has_influence_radius = sph_header_data["isphfg2"] != 0 

    +

    2221 self._sph_info.has_particle_pressure = sph_header_data["isphfg3"] != 0 

    +

    2222 self._sph_info.has_stresses = sph_header_data["isphfg4"] != 0 

    +

    2223 self._sph_info.has_plastic_strain = sph_header_data["isphfg5"] != 0 

    +

    2224 self._sph_info.has_material_density = sph_header_data["isphfg6"] != 0 

    +

    2225 self._sph_info.has_internal_energy = sph_header_data["isphfg7"] != 0 

    +

    2226 self._sph_info.has_n_affecting_neighbors = sph_header_data["isphfg8"] != 0 

    +

    2227 self._sph_info.has_strain_and_strainrate = sph_header_data["isphfg9"] != 0 

    +

    2228 self._sph_info.has_true_strains = sph_header_data["isphfg9"] < 0 

    +

    2229 self._sph_info.has_mass = sph_header_data["isphfg10"] != 0 

    +

    2230 self._sph_info.n_sph_history_vars = sph_header_data["isphfg11"] 

    +

    2231 

    +

    2232 if self._sph_info.n_sph_array_length != 11: 

    +

    2233 msg = ( 

    +

    2234 "Detected inconsistency: " 

    +

    2235 f"isphfg = {self._sph_info.n_sph_array_length} but must be 11." 

    +

    2236 ) 

    +

    2237 raise RuntimeError(msg) 

    +

    2238 

    +

    2239 self._sph_info.n_sph_vars = ( 

    +

    2240 sph_header_data["isphfg2"] 

    +

    2241 + sph_header_data["isphfg3"] 

    +

    2242 + sph_header_data["isphfg4"] 

    +

    2243 + sph_header_data["isphfg5"] 

    +

    2244 + sph_header_data["isphfg6"] 

    +

    2245 + sph_header_data["isphfg7"] 

    +

    2246 + sph_header_data["isphfg8"] 

    +

    2247 + abs(sph_header_data["isphfg9"]) 

    +

    2248 + sph_header_data["isphfg10"] 

    +

    2249 + sph_header_data["isphfg11"] 

    +

    2250 + 1 

    +

    2251 ) # material number 

    +

    2252 

    +

    2253 self.geometry_section_size += sph_header_data["isphfg1"] * self.header.wordsize 

    +

    2254 LOGGER.debug("_read_sph_element_data_flags end at byte %d", self.geometry_section_size) 

    +

    2255 

    +

    2256 def _read_particle_data(self): 

    +

    2257 """Read the geometry section for particle data (airbags)""" 

    +

    2258 

    +

    2259 if not self._buffer: 

    +

    2260 return 

    +

    2261 

    +

    2262 if "npefg" not in self.header.raw_header: 

    +

    2263 return 

    +

    2264 npefg = self.header.raw_header["npefg"] 

    +

    2265 

    +

    2266 # let's stick to the manual, too lazy to decypther this test 

    +

    2267 if npefg <= 0 or npefg > 10000000: 

    +

    2268 return 

    +

    2269 

    +

    2270 LOGGER.debug("_read_particle_data start at byte %d", self.geometry_section_size) 

    +

    2271 

    +

    2272 position = self.geometry_section_size 

    +

    2273 

    +

    2274 airbag_header = { 

    +

    2275 # number of airbags 

    +

    2276 "npartgas": npefg % 1000, 

    +

    2277 # ? 

    +

    2278 "subver": npefg // 1000, 

    +

    2279 } 

    +

    2280 

    +

    2281 particle_geometry_data_words = { 

    +

    2282 # number of geometry variables 

    +

    2283 "ngeom": (position, self._header.itype), 

    +

    2284 # number of state variables 

    +

    2285 "nvar": (position + 1 * self.header.wordsize, self._header.itype), 

    +

    2286 # number of particles 

    +

    2287 "npart": (position + 2 * self.header.wordsize, self._header.itype), 

    +

    2288 # number of state geometry variables 

    +

    2289 "nstgeom": (position + 3 * self.header.wordsize, self._header.itype), 

    +

    2290 } 

    +

    2291 

    +

    2292 self.header.read_words(self._buffer, particle_geometry_data_words, airbag_header) 

    +

    2293 position += 4 * self.header.wordsize 

    +

    2294 

    +

    2295 # transfer to info object 

    +

    2296 self._airbag_info.n_airbags = npefg % 1000 

    +

    2297 self._airbag_info.subver = npefg // 1000 

    +

    2298 self._airbag_info.n_geometric_variables = airbag_header["ngeom"] 

    +

    2299 self._airbag_info.n_particle_state_variables = airbag_header["nvar"] 

    +

    2300 self._airbag_info.n_particles = airbag_header["npart"] 

    +

    2301 self._airbag_info.n_airbag_state_variables = airbag_header["nstgeom"] 

    +

    2302 

    +

    2303 if self._airbag_info.subver == 4: 

    +

    2304 # number of chambers 

    +

    2305 self._airbag_info.n_chambers = self._buffer.read_number(position, self._header.itype) 

    +

    2306 position += self.header.wordsize 

    +

    2307 

    +

    2308 n_airbag_variables = self._airbag_info.get_n_variables() 

    +

    2309 

    +

    2310 # safety 

    +

    2311 # from here on the code may fail 

    +

    2312 original_position = position 

    +

    2313 blocksize = 9 * n_airbag_variables * self.header.wordsize 

    +

    2314 

    +

    2315 try: 

    +

    2316 # variable typecodes 

    +

    2317 self.arrays[ArrayType.airbag_variable_types] = self._buffer.read_ndarray( 

    +

    2318 position, n_airbag_variables * self.header.wordsize, 1, self._header.itype 

    +

    2319 ) 

    +

    2320 position += n_airbag_variables * self.header.wordsize 

    +

    2321 

    +

    2322 # airbag variable names 

    +

    2323 # every word is an ascii char 

    +

    2324 airbag_variable_names = [] 

    +

    2325 var_width = 8 

    +

    2326 

    +

    2327 for i_variable in range(n_airbag_variables): 

    +

    2328 name = self._buffer.read_text( 

    +

    2329 position + (i_variable * var_width) * self.header.wordsize, 

    +

    2330 var_width * self.header.wordsize, 

    +

    2331 ) 

    +

    2332 airbag_variable_names.append(name[:: self.header.wordsize]) 

    +

    2333 

    +

    2334 self.arrays[ArrayType.airbag_variable_names] = airbag_variable_names 

    +

    2335 position += n_airbag_variables * var_width * self.header.wordsize 

    +

    2336 

    +

    2337 except Exception: 

    +

    2338 

    +

    2339 # print info 

    +

    2340 trb_msg = traceback.format_exc() 

    +

    2341 msg = "A failure in %s was caught:\n%s" 

    +

    2342 LOGGER.warning(msg, "_read_particle_data", trb_msg) 

    +

    2343 

    +

    2344 # fix position 

    +

    2345 position = original_position + blocksize 

    +

    2346 

    +

    2347 # update position marker 

    +

    2348 self.geometry_section_size = position 

    +

    2349 LOGGER.debug("_read_particle_data start at byte %d", self.geometry_section_size) 

    +

    2350 

    +

    2351 # pylint: disable = too-many-branches 

    +

    2352 def _read_geometry_data(self): 

    +

    2353 """Read the data from the geometry section""" 

    +

    2354 

    +

    2355 if not self._buffer: 

    +

    2356 return 

    +

    2357 

    +

    2358 LOGGER.debug("_read_geometry_data start at byte %d", self.geometry_section_size) 

    +

    2359 

    +

    2360 # not sure but I think never used by LS-Dyna 

    +

    2361 # anyway needs to be detected in the header and not here, 

    +

    2362 # though it is mentioned in this section of the database manual 

    +

    2363 # 

    +

    2364 # is_packed = True if self.header['ndim'] == 3 else False 

    +

    2365 # if is_packed: 

    +

    2366 # raise RuntimeError("Can not deal with packed "\ 

    +

    2367 # "geometry data (ndim == {}).".format(self.header['ndim'])) 

    +

    2368 

    +

    2369 position = self.geometry_section_size 

    +

    2370 

    +

    2371 # node coords 

    +

    2372 n_nodes = self.header.n_nodes 

    +

    2373 n_dimensions = self.header.n_dimensions 

    +

    2374 section_word_length = n_dimensions * n_nodes 

    +

    2375 try: 

    +

    2376 node_coordinates = self._buffer.read_ndarray( 

    +

    2377 position, section_word_length * self.header.wordsize, 1, self.header.ftype 

    +

    2378 ).reshape((n_nodes, n_dimensions)) 

    +

    2379 self.arrays[ArrayType.node_coordinates] = node_coordinates 

    +

    2380 except Exception: 

    +

    2381 trb_msg = traceback.format_exc() 

    +

    2382 msg = "A failure in %d was caught:\n%s" 

    +

    2383 LOGGER.warning(msg, "_read_geometry_data, node_coordinates", trb_msg) 

    +

    2384 finally: 

    +

    2385 position += section_word_length * self.header.wordsize 

    +

    2386 

    +

    2387 # solid data 

    +

    2388 n_solids = self.header.n_solids 

    +

    2389 section_word_length = 9 * n_solids 

    +

    2390 try: 

    +

    2391 elem_solid_data = self._buffer.read_ndarray( 

    +

    2392 position, section_word_length * self.header.wordsize, 1, self._header.itype 

    +

    2393 ).reshape((n_solids, 9)) 

    +

    2394 solid_connectivity = elem_solid_data[:, :8] 

    +

    2395 solid_part_indexes = elem_solid_data[:, 8] 

    +

    2396 self.arrays[ArrayType.element_solid_node_indexes] = solid_connectivity - FORTRAN_OFFSET 

    +

    2397 self.arrays[ArrayType.element_solid_part_indexes] = solid_part_indexes - FORTRAN_OFFSET 

    +

    2398 except Exception: 

    +

    2399 trb_msg = traceback.format_exc() 

    +

    2400 msg = "A failure in %s was caught:\n%s" 

    +

    2401 LOGGER.warning(msg, "_read_geometry_data, solids_geometry", trb_msg) 

    +

    2402 finally: 

    +

    2403 position += section_word_length * self.header.wordsize 

    +

    2404 

    +

    2405 # ten node solids extra nodes 

    +

    2406 if self.header.has_solid_2_extra_nodes: 

    +

    2407 section_word_length = 2 * n_solids 

    +

    2408 try: 

    +

    2409 self.arrays[ 

    +

    2410 ArrayType.element_solid_extra_nodes 

    +

    2411 ] = elem_solid_data = self._buffer.read_ndarray( 

    +

    2412 position, section_word_length * self.header.wordsize, 1, self._header.itype 

    +

    2413 ).reshape( 

    +

    2414 (n_solids, 2) 

    +

    2415 ) 

    +

    2416 except Exception: 

    +

    2417 trb_msg = traceback.format_exc() 

    +

    2418 msg = "A failure in %s was caught:\n%s" 

    +

    2419 LOGGER.warning(msg, "_read_geometry_data, ten_node_solids", trb_msg) 

    +

    2420 finally: 

    +

    2421 position += section_word_length * self.header.wordsize 

    +

    2422 

    +

    2423 # 8 node thick shells 

    +

    2424 n_thick_shells = self.header.n_thick_shells 

    +

    2425 section_word_length = 9 * n_thick_shells 

    +

    2426 try: 

    +

    2427 elem_tshell_data = self._buffer.read_ndarray( 

    +

    2428 position, section_word_length * self.header.wordsize, 1, self._header.itype 

    +

    2429 ).reshape((self.header.n_thick_shells, 9)) 

    +

    2430 self.arrays[ArrayType.element_tshell_node_indexes] = ( 

    +

    2431 elem_tshell_data[:, :8] - FORTRAN_OFFSET 

    +

    2432 ) 

    +

    2433 self.arrays[ArrayType.element_tshell_part_indexes] = ( 

    +

    2434 elem_tshell_data[:, 8] - FORTRAN_OFFSET 

    +

    2435 ) 

    +

    2436 except Exception: 

    +

    2437 trb_msg = traceback.format_exc() 

    +

    2438 msg = "A failure in %s was caught:\n%s" 

    +

    2439 LOGGER.warning(msg, "_read_geometry_data, tshells_geometry", trb_msg) 

    +

    2440 finally: 

    +

    2441 position += section_word_length * self.header.wordsize 

    +

    2442 

    +

    2443 # beams 

    +

    2444 n_beams = self.header.n_beams 

    +

    2445 section_word_length = 6 * n_beams 

    +

    2446 try: 

    +

    2447 elem_beam_data = self._buffer.read_ndarray( 

    +

    2448 position, section_word_length * self.header.wordsize, 1, self._header.itype 

    +

    2449 ).reshape((n_beams, 6)) 

    +

    2450 self.arrays[ArrayType.element_beam_part_indexes] = elem_beam_data[:, 5] - FORTRAN_OFFSET 

    +

    2451 self.arrays[ArrayType.element_beam_node_indexes] = ( 

    +

    2452 elem_beam_data[:, :5] - FORTRAN_OFFSET 

    +

    2453 ) 

    +

    2454 except Exception: 

    +

    2455 trb_msg = traceback.format_exc() 

    +

    2456 msg = "A failure in %s was caught:\n%s" 

    +

    2457 LOGGER.warning(msg, "_read_geometry_data, beams_geometry", trb_msg) 

    +

    2458 finally: 

    +

    2459 position += section_word_length * self.header.wordsize 

    +

    2460 

    +

    2461 # shells 

    +

    2462 n_shells = self.header.n_shells 

    +

    2463 section_word_length = 5 * n_shells 

    +

    2464 try: 

    +

    2465 elem_shell_data = self._buffer.read_ndarray( 

    +

    2466 position, section_word_length * self.header.wordsize, 1, self._header.itype 

    +

    2467 ).reshape((self.header.n_shells, 5)) 

    +

    2468 self.arrays[ArrayType.element_shell_node_indexes] = ( 

    +

    2469 elem_shell_data[:, :4] - FORTRAN_OFFSET 

    +

    2470 ) 

    +

    2471 self.arrays[ArrayType.element_shell_part_indexes] = ( 

    +

    2472 elem_shell_data[:, 4] - FORTRAN_OFFSET 

    +

    2473 ) 

    +

    2474 except Exception: 

    +

    2475 trb_msg = traceback.format_exc() 

    +

    2476 msg = "A failure in %s was caught:\n%s" 

    +

    2477 LOGGER.warning(msg, "_read_geometry_data, shells_geometry", trb_msg) 

    +

    2478 finally: 

    +

    2479 position += section_word_length * self.header.wordsize 

    +

    2480 

    +

    2481 # update word position 

    +

    2482 self.geometry_section_size = position 

    +

    2483 

    +

    2484 LOGGER.debug("_read_geometry_data end at byte %d", self.geometry_section_size) 

    +

    2485 

    +

    2486 def _read_user_ids(self): 

    +

    2487 

    +

    2488 if not self._buffer: 

    +

    2489 return 

    +

    2490 

    +

    2491 if not self.header.has_numbering_section: 

    +

    2492 self.arrays[ArrayType.node_ids] = np.arange( 

    +

    2493 FORTRAN_OFFSET, self.header.n_nodes + FORTRAN_OFFSET, dtype=self.header.itype 

    +

    2494 ) 

    +

    2495 self.arrays[ArrayType.element_solid_ids] = np.arange( 

    +

    2496 FORTRAN_OFFSET, self.header.n_solids + FORTRAN_OFFSET, dtype=self.header.itype 

    +

    2497 ) 

    +

    2498 self.arrays[ArrayType.element_beam_ids] = np.arange( 

    +

    2499 FORTRAN_OFFSET, self.header.n_beams + FORTRAN_OFFSET, dtype=self.header.itype 

    +

    2500 ) 

    +

    2501 self.arrays[ArrayType.element_shell_ids] = np.arange( 

    +

    2502 FORTRAN_OFFSET, self.header.n_shells + FORTRAN_OFFSET, dtype=self.header.itype 

    +

    2503 ) 

    +

    2504 self.arrays[ArrayType.element_tshell_ids] = np.arange( 

    +

    2505 FORTRAN_OFFSET, self.header.n_thick_shells + FORTRAN_OFFSET, dtype=self.header.itype 

    +

    2506 ) 

    +

    2507 self.arrays[ArrayType.part_ids] = np.arange( 

    +

    2508 FORTRAN_OFFSET, self.header.n_parts + FORTRAN_OFFSET, dtype=self.header.itype 

    +

    2509 ) 

    +

    2510 return 

    +

    2511 

    +

    2512 LOGGER.debug("_read_user_ids start at byte %d", self.geometry_section_size) 

    +

    2513 

    +

    2514 position = self.geometry_section_size 

    +

    2515 

    +

    2516 # safety 

    +

    2517 original_position = position 

    +

    2518 blocksize = self.header.raw_header["narbs"] * self.header.wordsize 

    +

    2519 

    +

    2520 try: 

    +

    2521 numbering_words = { 

    +

    2522 "nsort": (position, self._header.itype), 

    +

    2523 "nsrh": (position + 1 * self.header.wordsize, self._header.itype), 

    +

    2524 "nsrb": (position + 2 * self.header.wordsize, self._header.itype), 

    +

    2525 "nsrs": (position + 3 * self.header.wordsize, self._header.itype), 

    +

    2526 "nsrt": (position + 4 * self.header.wordsize, self._header.itype), 

    +

    2527 "nsortd": (position + 5 * self.header.wordsize, self._header.itype), 

    +

    2528 "nsrhd": (position + 6 * self.header.wordsize, self._header.itype), 

    +

    2529 "nsrbd": (position + 7 * self.header.wordsize, self._header.itype), 

    +

    2530 "nsrsd": (position + 8 * self.header.wordsize, self._header.itype), 

    +

    2531 "nsrtd": (position + 9 * self.header.wordsize, self._header.itype), 

    +

    2532 } 

    +

    2533 

    +

    2534 extra_numbering_words = { 

    +

    2535 "nsrma": (position + 10 * self.header.wordsize, self._header.itype), 

    +

    2536 "nsrmu": (position + 11 * self.header.wordsize, self._header.itype), 

    +

    2537 "nsrmp": (position + 12 * self.header.wordsize, self._header.itype), 

    +

    2538 "nsrtm": (position + 13 * self.header.wordsize, self._header.itype), 

    +

    2539 "numrbs": (position + 14 * self.header.wordsize, self._header.itype), 

    +

    2540 "nmmat": (position + 15 * self.header.wordsize, self._header.itype), 

    +

    2541 } 

    +

    2542 

    +

    2543 numbering_header = self.header.read_words(self._buffer, numbering_words) 

    +

    2544 position += len(numbering_words) * self.header.wordsize 

    +

    2545 

    +

    2546 # let's make life easier 

    +

    2547 info = self._numbering_info 

    +

    2548 

    +

    2549 # transfer first bunch 

    +

    2550 info.ptr_node_ids = abs(numbering_header["nsort"]) 

    +

    2551 info.has_material_ids = numbering_header["nsort"] < 0 

    +

    2552 info.ptr_solid_ids = numbering_header["nsrh"] 

    +

    2553 info.ptr_beam_ids = numbering_header["nsrb"] 

    +

    2554 info.ptr_shell_ids = numbering_header["nsrs"] 

    +

    2555 info.ptr_thick_shell_ids = numbering_header["nsrt"] 

    +

    2556 info.n_nodes = numbering_header["nsortd"] 

    +

    2557 info.n_solids = numbering_header["nsrhd"] 

    +

    2558 info.n_beams = numbering_header["nsrbd"] 

    +

    2559 info.n_shells = numbering_header["nsrsd"] 

    +

    2560 info.n_thick_shells = numbering_header["nsrtd"] 

    +

    2561 

    +

    2562 if info.has_material_ids: 

    +

    2563 

    +

    2564 # read extra header 

    +

    2565 self.header.read_words(self._buffer, extra_numbering_words, numbering_header) 

    +

    2566 position += len(extra_numbering_words) * self.header.wordsize 

    +

    2567 

    +

    2568 # transfer more 

    +

    2569 info.ptr_material_ids = numbering_header["nsrma"] 

    +

    2570 info.ptr_material_ids_defined_order = numbering_header["nsrmu"] 

    +

    2571 info.ptr_material_ids_crossref = numbering_header["nsrmp"] 

    +

    2572 info.n_parts = numbering_header["nsrtm"] 

    +

    2573 info.n_rigid_bodies = numbering_header["numrbs"] 

    +

    2574 info.n_parts2 = numbering_header["nmmat"] 

    +

    2575 else: 

    +

    2576 info.n_parts = self.header.n_parts 

    +

    2577 

    +

    2578 # let's do a quick check 

    +

    2579 n_words_computed = ( 

    +

    2580 len(numbering_header) 

    +

    2581 + info.n_nodes 

    +

    2582 + info.n_shells 

    +

    2583 + info.n_beams 

    +

    2584 + info.n_solids 

    +

    2585 + info.n_thick_shells 

    +

    2586 + info.n_parts * 3 

    +

    2587 ) 

    +

    2588 if n_words_computed != self.header.n_numbering_section_words: 

    +

    2589 warn_msg = ( 

    +

    2590 "ID section: The computed word count does " 

    +

    2591 "not match the header word count: %d != %d." 

    +

    2592 " The ID arrays might contain errors." 

    +

    2593 ) 

    +

    2594 LOGGER.warning(warn_msg, n_words_computed, self.header.n_numbering_section_words) 

    +

    2595 # node ids 

    +

    2596 array_length = info.n_nodes * self.header.wordsize 

    +

    2597 self.arrays[ArrayType.node_ids] = self._buffer.read_ndarray( 

    +

    2598 position, array_length, 1, self._header.itype 

    +

    2599 ) 

    +

    2600 position += array_length 

    +

    2601 # solid ids 

    +

    2602 array_length = info.n_solids * self.header.wordsize 

    +

    2603 self.arrays[ArrayType.element_solid_ids] = self._buffer.read_ndarray( 

    +

    2604 position, array_length, 1, self._header.itype 

    +

    2605 ) 

    +

    2606 position += array_length 

    +

    2607 # beam ids 

    +

    2608 array_length = info.n_beams * self.header.wordsize 

    +

    2609 self.arrays[ArrayType.element_beam_ids] = self._buffer.read_ndarray( 

    +

    2610 position, array_length, 1, self._header.itype 

    +

    2611 ) 

    +

    2612 position += array_length 

    +

    2613 # shell ids 

    +

    2614 array_length = info.n_shells * self.header.wordsize 

    +

    2615 self.arrays[ArrayType.element_shell_ids] = self._buffer.read_ndarray( 

    +

    2616 position, array_length, 1, self._header.itype 

    +

    2617 ) 

    +

    2618 position += array_length 

    +

    2619 # tshell ids 

    +

    2620 array_length = info.n_thick_shells * self.header.wordsize 

    +

    2621 self.arrays[ArrayType.element_tshell_ids] = self._buffer.read_ndarray( 

    +

    2622 position, array_length, 1, self._header.itype 

    +

    2623 ) 

    +

    2624 position += array_length 

    +

    2625 

    +

    2626 # part ids 

    +

    2627 # 

    +

    2628 # this makes no sense but materials are output three times at this section 

    +

    2629 # but the length of the array (nmmat) is only output if nsort < 0. In 

    +

    2630 # the other case the length is unknown ... 

    +

    2631 # 

    +

    2632 # Bugfix: 

    +

    2633 # The material arrays (three times) are always output, even if nsort < 0 

    +

    2634 # which means they are not used. Quite confusing, especially since nmmat 

    +

    2635 # is output in the main header and numbering header. 

    +

    2636 # 

    +

    2637 if "nmmat" in numbering_header: 

    +

    2638 

    +

    2639 if info.n_parts != self.header.n_parts: 

    +

    2640 err_msg = ( 

    +

    2641 "nmmat in the file header (%d) and in the " 

    +

    2642 "numbering header (%d) are inconsistent." 

    +

    2643 ) 

    +

    2644 raise RuntimeError(err_msg, self.header.n_parts, info.n_parts) 

    +

    2645 

    +

    2646 array_length = info.n_parts * self.header.wordsize 

    +

    2647 

    +

    2648 self.arrays[ArrayType.part_ids] = self._buffer.read_ndarray( 

    +

    2649 position, info.n_parts * self.header.wordsize, 1, self._header.itype 

    +

    2650 ) 

    +

    2651 position += info.n_parts * self.header.wordsize 

    +

    2652 

    +

    2653 self.arrays[ArrayType.part_ids_unordered] = self._buffer.read_ndarray( 

    +

    2654 position, info.n_parts * self.header.wordsize, 1, self._header.itype 

    +

    2655 ) 

    +

    2656 position += info.n_parts * self.header.wordsize 

    +

    2657 

    +

    2658 self.arrays[ArrayType.part_ids_cross_references] = self._buffer.read_ndarray( 

    +

    2659 position, info.n_parts * self.header.wordsize, 1, self._header.itype 

    +

    2660 ) 

    +

    2661 position += info.n_parts * self.header.wordsize 

    +

    2662 

    +

    2663 else: 

    +

    2664 position += 3 * self.header.n_parts * self.header.wordsize 

    +

    2665 

    +

    2666 except Exception: 

    +

    2667 # print info 

    +

    2668 trb_msg = traceback.format_exc() 

    +

    2669 msg = "A failure in %s was caught:\n%s" 

    +

    2670 LOGGER.warning(msg, "_read_user_ids", trb_msg) 

    +

    2671 

    +

    2672 # fix position 

    +

    2673 position = original_position + blocksize 

    +

    2674 

    +

    2675 # update position 

    +

    2676 self.geometry_section_size = position 

    +

    2677 LOGGER.debug("_read_user_ids end at byte %d", self.geometry_section_size) 

    +

    2678 

    +

    2679 def _read_rigid_body_description(self): 

    +

    2680 """Read the rigid body description section""" 

    +

    2681 

    +

    2682 if not self._buffer: 

    +

    2683 return 

    +

    2684 

    +

    2685 if not self.header.has_rigid_body_data: 

    +

    2686 return 

    +

    2687 

    +

    2688 LOGGER.debug("_read_rigid_body_description start at byte %d", self.geometry_section_size) 

    +

    2689 

    +

    2690 position = self.geometry_section_size 

    +

    2691 

    +

    2692 rigid_body_description_header = { 

    +

    2693 "nrigid": self._buffer.read_number(position, self._header.itype) 

    +

    2694 } 

    +

    2695 position += self.header.wordsize 

    +

    2696 

    +

    2697 info = self._rigid_body_info 

    +

    2698 info.n_rigid_bodies = rigid_body_description_header["nrigid"] 

    +

    2699 

    +

    2700 rigid_bodies: List[RigidBodyMetadata] = [] 

    +

    2701 for _ in range(info.n_rigid_bodies): 

    +

    2702 rigid_body_info = { 

    +

    2703 # rigid body part internal number 

    +

    2704 "mrigid": self._buffer.read_number(position, self._header.itype), 

    +

    2705 # number of nodes in rigid body 

    +

    2706 "numnodr": self._buffer.read_number( 

    +

    2707 position + self.header.wordsize, self._header.itype 

    +

    2708 ), 

    +

    2709 } 

    +

    2710 position += 2 * self.header.wordsize 

    +

    2711 

    +

    2712 # internal node number of rigid body 

    +

    2713 array_length = rigid_body_info["numnodr"] * self.header.wordsize 

    +

    2714 rigid_body_info["noder"] = self._buffer.read_ndarray( 

    +

    2715 position, array_length, 1, self._header.itype 

    +

    2716 ) 

    +

    2717 position += array_length 

    +

    2718 

    +

    2719 # number of active (non-rigid) nodes 

    +

    2720 rigid_body_info["numnoda"] = self._buffer.read_number(position, self._header.itype) 

    +

    2721 position += self.header.wordsize 

    +

    2722 

    +

    2723 # internal node numbers of active nodes 

    +

    2724 array_length = rigid_body_info["numnoda"] * self.header.wordsize 

    +

    2725 rigid_body_info["nodea"] = self._buffer.read_ndarray( 

    +

    2726 position, array_length, 1, self._header.itype 

    +

    2727 ) 

    +

    2728 position += array_length 

    +

    2729 

    +

    2730 # transfer props 

    +

    2731 body_metadata = RigidBodyMetadata( 

    +

    2732 internal_number=rigid_body_info["mrigid"], 

    +

    2733 n_nodes=rigid_body_info["numnodr"], 

    +

    2734 node_indexes=rigid_body_info["noder"], 

    +

    2735 n_active_nodes=rigid_body_info["numnoda"], 

    +

    2736 active_node_indexes=rigid_body_info["nodea"], 

    +

    2737 ) 

    +

    2738 

    +

    2739 # append to list 

    +

    2740 rigid_bodies.append(body_metadata) 

    +

    2741 

    +

    2742 # save rigid body info to header 

    +

    2743 info.rigid_body_metadata_list = rigid_bodies 

    +

    2744 

    +

    2745 # save arrays 

    +

    2746 rigid_body_n_nodes = [] 

    +

    2747 rigid_body_part_indexes = [] 

    +

    2748 rigid_body_n_active_nodes = [] 

    +

    2749 rigid_body_node_indexes_list = [] 

    +

    2750 rigid_body_active_node_indexes_list = [] 

    +

    2751 for rigid_body_info in rigid_bodies: 

    +

    2752 rigid_body_part_indexes.append(rigid_body_info.internal_number) 

    +

    2753 rigid_body_n_nodes.append(rigid_body_info.n_nodes) 

    +

    2754 rigid_body_node_indexes_list.append(rigid_body_info.node_indexes - FORTRAN_OFFSET) 

    +

    2755 rigid_body_n_active_nodes.append(rigid_body_info.n_active_nodes) 

    +

    2756 rigid_body_active_node_indexes_list.append( 

    +

    2757 rigid_body_info.active_node_indexes - FORTRAN_OFFSET 

    +

    2758 ) 

    +

    2759 

    +

    2760 self.arrays[ArrayType.rigid_body_part_indexes] = ( 

    +

    2761 np.array(rigid_body_part_indexes, dtype=self._header.itype) - FORTRAN_OFFSET 

    +

    2762 ) 

    +

    2763 self.arrays[ArrayType.rigid_body_n_nodes] = np.array( 

    +

    2764 rigid_body_n_nodes, dtype=self._header.itype 

    +

    2765 ) 

    +

    2766 self.arrays[ArrayType.rigid_body_n_active_nodes] = np.array( 

    +

    2767 rigid_body_n_active_nodes, dtype=self._header.itype 

    +

    2768 ) 

    +

    2769 self.arrays[ArrayType.rigid_body_node_indexes_list] = rigid_body_node_indexes_list 

    +

    2770 self.arrays[ 

    +

    2771 ArrayType.rigid_body_active_node_indexes_list 

    +

    2772 ] = rigid_body_active_node_indexes_list 

    +

    2773 

    +

    2774 # update position 

    +

    2775 self.geometry_section_size = position 

    +

    2776 LOGGER.debug("_read_rigid_body_description end at byte %d", self.geometry_section_size) 

    +

    2777 

    +

    2778 def _read_sph_node_and_material_list(self): 

    +

    2779 """Read SPH node and material list""" 

    +

    2780 

    +

    2781 if not self._buffer: 

    +

    2782 return 

    +

    2783 

    +

    2784 if self.header.n_sph_nodes <= 0: 

    +

    2785 return 

    +

    2786 

    +

    2787 LOGGER.debug( 

    +

    2788 "_read_sph_node_and_material_list start at byte %d", self.geometry_section_size 

    +

    2789 ) 

    +

    2790 

    +

    2791 position = self.geometry_section_size 

    +

    2792 

    +

    2793 array_length = self.header.n_sph_nodes * self.header.wordsize * 2 

    +

    2794 try: 

    +

    2795 # read info array 

    +

    2796 sph_node_matlist = self._buffer.read_ndarray( 

    +

    2797 position, array_length, 1, self._header.itype 

    +

    2798 ).reshape((self.header.n_sph_nodes, 2)) 

    +

    2799 

    +

    2800 # save array 

    +

    2801 self.arrays[ArrayType.sph_node_indexes] = sph_node_matlist[:, 0] - FORTRAN_OFFSET 

    +

    2802 self.arrays[ArrayType.sph_node_material_index] = sph_node_matlist[:, 1] - FORTRAN_OFFSET 

    +

    2803 

    +

    2804 except Exception: 

    +

    2805 # print info 

    +

    2806 trb_msg = traceback.format_exc() 

    +

    2807 msg = "A failure in %s was caught:\n%s" 

    +

    2808 LOGGER.warning(msg, "_read_sph_node_and_material_list", trb_msg) 

    +

    2809 

    +

    2810 finally: 

    +

    2811 # update position 

    +

    2812 self.geometry_section_size += array_length 

    +

    2813 

    +

    2814 LOGGER.debug("_read_sph_node_and_material_list end at byte %d", self.geometry_section_size) 

    +

    2815 

    +

    2816 def _read_particle_geometry_data(self): 

    +

    2817 """Read the particle geometry data""" 

    +

    2818 

    +

    2819 if not self._buffer: 

    +

    2820 return 

    +

    2821 

    +

    2822 if "npefg" not in self.header.raw_header: 

    +

    2823 return 

    +

    2824 

    +

    2825 if self.header.raw_header["npefg"] <= 0: 

    +

    2826 return 

    +

    2827 

    +

    2828 LOGGER.debug("_read_particle_geometry_data start at byte %d", self.geometry_section_size) 

    +

    2829 

    +

    2830 info = self._airbag_info 

    +

    2831 

    +

    2832 position = self.geometry_section_size 

    +

    2833 

    +

    2834 # size of geometry section checking 

    +

    2835 ngeom = info.n_geometric_variables 

    +

    2836 if ngeom not in [4, 5]: 

    +

    2837 raise RuntimeError("variable ngeom in the airbag header must be 4 or 5.") 

    +

    2838 

    +

    2839 original_position = position 

    +

    2840 blocksize = info.n_airbags * ngeom * self.header.wordsize 

    +

    2841 try: 

    +

    2842 

    +

    2843 # extract geometry as a single array 

    +

    2844 array_length = blocksize 

    +

    2845 particle_geom_data = self._buffer.read_ndarray( 

    +

    2846 position, array_length, 1, self._header.itype 

    +

    2847 ).reshape((info.n_airbags, ngeom)) 

    +

    2848 position += array_length 

    +

    2849 

    +

    2850 # store arrays 

    +

    2851 self.arrays[ArrayType.airbags_first_particle_id] = particle_geom_data[:, 0] 

    +

    2852 self.arrays[ArrayType.airbags_n_particles] = particle_geom_data[:, 1] 

    +

    2853 self.arrays[ArrayType.airbags_ids] = particle_geom_data[:, 2] 

    +

    2854 self.arrays[ArrayType.airbags_n_gas_mixtures] = particle_geom_data[:, 3] 

    +

    2855 if ngeom == 5: 

    +

    2856 self.arrays[ArrayType.airbags_n_chambers] = particle_geom_data[:, 4] 

    +

    2857 

    +

    2858 except Exception: 

    +

    2859 # print info 

    +

    2860 trb_msg = traceback.format_exc() 

    +

    2861 msg = "A failure in %d was caught:\n%s" 

    +

    2862 LOGGER.warning(msg, "_read_particle_geometry_data", trb_msg) 

    +

    2863 

    +

    2864 # fix position 

    +

    2865 position = original_position + blocksize 

    +

    2866 

    +

    2867 # update position 

    +

    2868 self.geometry_section_size = position 

    +

    2869 

    +

    2870 LOGGER.debug("_read_particle_geometry_data end at byte %d", self.geometry_section_size) 

    +

    2871 

    +

    2872 def _read_rigid_road_surface(self): 

    +

    2873 """Read rigid road surface data""" 

    +

    2874 

    +

    2875 if not self._buffer: 

    +

    2876 return 

    +

    2877 

    +

    2878 if not self.header.has_rigid_road_surface: 

    +

    2879 return 

    +

    2880 

    +

    2881 LOGGER.debug("_read_rigid_road_surface start at byte %d", self.geometry_section_size) 

    +

    2882 

    +

    2883 position = self.geometry_section_size 

    +

    2884 

    +

    2885 # read header 

    +

    2886 rigid_road_surface_words = { 

    +

    2887 "nnode": (position, self._header.itype), 

    +

    2888 "nseg": (position + 1 * self.header.wordsize, self._header.itype), 

    +

    2889 "nsurf": (position + 2 * self.header.wordsize, self._header.itype), 

    +

    2890 "motion": (position + 3 * self.header.wordsize, self._header.itype), 

    +

    2891 } 

    +

    2892 

    +

    2893 rigid_road_header = self.header.read_words(self._buffer, rigid_road_surface_words) 

    +

    2894 position += 4 * self.header.wordsize 

    +

    2895 

    +

    2896 self._rigid_road_info = RigidRoadInfo( 

    +

    2897 n_nodes=rigid_road_header["nnode"], 

    +

    2898 n_roads=rigid_road_header["nsurf"], 

    +

    2899 n_road_segments=rigid_road_header["nseg"], 

    +

    2900 motion=rigid_road_header["motion"], 

    +

    2901 ) 

    +

    2902 info = self._rigid_road_info 

    +

    2903 

    +

    2904 # node ids 

    +

    2905 array_length = info.n_nodes * self.header.wordsize 

    +

    2906 rigid_road_node_ids = self._buffer.read_ndarray( 

    +

    2907 position, array_length, 1, self._header.itype 

    +

    2908 ) 

    +

    2909 self.arrays[ArrayType.rigid_road_node_ids] = rigid_road_node_ids 

    +

    2910 position += array_length 

    +

    2911 

    +

    2912 # node xyz 

    +

    2913 array_length = info.n_nodes * 3 * self.header.wordsize 

    +

    2914 rigid_road_node_coords = self._buffer.read_ndarray( 

    +

    2915 position, array_length, 1, self.header.ftype 

    +

    2916 ).reshape((info.n_nodes, 3)) 

    +

    2917 self.arrays[ArrayType.rigid_road_node_coordinates] = rigid_road_node_coords 

    +

    2918 position += array_length 

    +

    2919 

    +

    2920 # read road segments 

    +

    2921 # Warning: must be copied 

    +

    2922 rigid_road_ids = np.empty(info.n_roads, dtype=self._header.itype) 

    +

    2923 rigid_road_nsegments = np.empty(info.n_roads, dtype=self._header.itype) 

    +

    2924 rigid_road_segment_node_ids = [] 

    +

    2925 

    +

    2926 # this array is created since the array database requires 

    +

    2927 # constant sized arrays, and we dump all segments into one 

    +

    2928 # array. In order to distinguish which segment 

    +

    2929 # belongs to which road, this new array keeps track of it 

    +

    2930 rigid_road_segment_road_id = [] 

    +

    2931 

    +

    2932 # n_total_segments = 0 

    +

    2933 for i_surf in range(info.n_roads): 

    +

    2934 # surface id 

    +

    2935 surf_id = self._buffer.read_number(position, self._header.itype) # type: ignore 

    +

    2936 position += self.header.wordsize 

    +

    2937 rigid_road_ids[i_surf] = surf_id 

    +

    2938 

    +

    2939 # number of segments of surface 

    +

    2940 surf_nseg = self._buffer.read_number( 

    +

    2941 position + 1 * self.header.wordsize, self._header.itype 

    +

    2942 ) # type: ignore 

    +

    2943 position += self.header.wordsize 

    +

    2944 rigid_road_nsegments[i_surf] = surf_nseg 

    +

    2945 

    +

    2946 # count total segments 

    +

    2947 # n_total_segments += surf_nseg 

    +

    2948 

    +

    2949 # node ids of surface segments 

    +

    2950 array_length = 4 * surf_nseg * self.header.wordsize 

    +

    2951 surf_segm_node_ids = self._buffer.read_ndarray( 

    +

    2952 position, # type: ignore 

    +

    2953 array_length, # type: ignore 

    +

    2954 1, 

    +

    2955 self._header.itype, 

    +

    2956 ).reshape((surf_nseg, 4)) 

    +

    2957 position += array_length 

    +

    2958 rigid_road_segment_node_ids.append(surf_segm_node_ids) 

    +

    2959 

    +

    2960 # remember road id for segments 

    +

    2961 rigid_road_segment_road_id += [surf_id] * surf_nseg 

    +

    2962 

    +

    2963 # save arrays 

    +

    2964 self.arrays[ArrayType.rigid_road_ids] = rigid_road_ids 

    +

    2965 self.arrays[ArrayType.rigid_road_n_segments] = rigid_road_nsegments 

    +

    2966 self.arrays[ArrayType.rigid_road_segment_node_ids] = np.concatenate( 

    +

    2967 rigid_road_segment_node_ids 

    +

    2968 ) 

    +

    2969 self.arrays[ArrayType.rigid_road_segment_road_id] = np.asarray(rigid_road_segment_road_id) 

    +

    2970 

    +

    2971 # update position 

    +

    2972 self.geometry_section_size = position 

    +

    2973 LOGGER.debug("_read_rigid_road_surface end at byte %d", self.geometry_section_size) 

    +

    2974 

    +

    2975 # pylint: disable = too-many-branches 

    +

    2976 def _read_extra_node_connectivity(self): 

    +

    2977 """Read the extra node data for creepy elements""" 

    +

    2978 

    +

    2979 if not self._buffer: 

    +

    2980 return 

    +

    2981 

    +

    2982 LOGGER.debug("_read_extra_node_connectivity start at byte %d", self.geometry_section_size) 

    +

    2983 

    +

    2984 position = self.geometry_section_size 

    +

    2985 

    +

    2986 # extra 2 node connectivity for 10 node tetrahedron elements 

    +

    2987 if self.header.has_solid_2_extra_nodes: 

    +

    2988 array_length = 2 * self.header.n_solids * self.header.wordsize 

    +

    2989 try: 

    +

    2990 array = self._buffer.read_ndarray( 

    +

    2991 position, array_length, 1, self._header.itype 

    +

    2992 ).reshape((self.header.n_solids, 2)) 

    +

    2993 self.arrays[ArrayType.element_solid_node10_extra_node_indexes] = ( 

    +

    2994 array - FORTRAN_OFFSET 

    +

    2995 ) 

    +

    2996 except Exception: 

    +

    2997 trb_msg = traceback.format_exc() 

    +

    2998 msg = "A failure in %s was caught:\n%s" 

    +

    2999 LOGGER.warning(msg, "_read_extra_node_connectivity, solid10", trb_msg) 

    +

    3000 finally: 

    +

    3001 position += array_length 

    +

    3002 

    +

    3003 # 8 node shell elements 

    +

    3004 if self.header.n_shells_8_nodes > 0: 

    +

    3005 array_length = 5 * self.header.n_shells_8_nodes * self.header.wordsize 

    +

    3006 try: 

    +

    3007 array = self._buffer.read_ndarray( 

    +

    3008 position, array_length, 1, self._header.itype 

    +

    3009 ).reshape((self.header.n_shells_8_nodes, 5)) 

    +

    3010 self.arrays[ArrayType.element_shell_node8_element_index] = ( 

    +

    3011 array[:, 0] - FORTRAN_OFFSET 

    +

    3012 ) 

    +

    3013 self.arrays[ArrayType.element_shell_node8_extra_node_indexes] = ( 

    +

    3014 array[:, 1:] - FORTRAN_OFFSET 

    +

    3015 ) 

    +

    3016 except Exception: 

    +

    3017 trb_msg = traceback.format_exc() 

    +

    3018 msg = "A failure in %s was caught:\n%s" 

    +

    3019 LOGGER.warning(msg, "_read_extra_node_connectivity, shell8", trb_msg) 

    +

    3020 finally: 

    +

    3021 position += array_length 

    +

    3022 

    +

    3023 # 20 node solid elements 

    +

    3024 if self.header.n_solids_20_node_hexas > 0: 

    +

    3025 array_length = 13 * self.header.n_solids_20_node_hexas * self.header.wordsize 

    +

    3026 try: 

    +

    3027 array = self._buffer.read_ndarray( 

    +

    3028 position, array_length, 1, self._header.itype 

    +

    3029 ).reshape((self.header.n_solids_20_node_hexas, 13)) 

    +

    3030 self.arrays[ArrayType.element_solid_node20_element_index] = ( 

    +

    3031 array[:, 0] - FORTRAN_OFFSET 

    +

    3032 ) 

    +

    3033 self.arrays[ArrayType.element_solid_node20_extra_node_indexes] = ( 

    +

    3034 array[:, 1:] - FORTRAN_OFFSET 

    +

    3035 ) 

    +

    3036 except Exception: 

    +

    3037 trb_msg = traceback.format_exc() 

    +

    3038 msg = "A failure in %s was caught:\n%s" 

    +

    3039 LOGGER.warning(msg, "_read_extra_node_connectivity, solid20", trb_msg) 

    +

    3040 finally: 

    +

    3041 position += array_length 

    +

    3042 

    +

    3043 # 27 node solid hexas 

    +

    3044 if ( 

    +

    3045 self.header.n_solids_27_node_hexas > 0 

    +

    3046 and self.header.quadratic_elems_has_full_connectivity 

    +

    3047 ): 

    +

    3048 array_length = 28 * self.header.n_solids_27_node_hexas * self.header.wordsize 

    +

    3049 try: 

    +

    3050 array = self._buffer.read_ndarray( 

    +

    3051 position, array_length, 1, self._header.itype 

    +

    3052 ).reshape((self.header.n_solids_27_node_hexas, 28)) 

    +

    3053 self.arrays[ArrayType.element_solid_node27_element_index] = ( 

    +

    3054 array[:, 0] - FORTRAN_OFFSET 

    +

    3055 ) 

    +

    3056 self.arrays[ArrayType.element_solid_node27_extra_node_indexes] = ( 

    +

    3057 array[:, 1:] - FORTRAN_OFFSET 

    +

    3058 ) 

    +

    3059 except Exception: 

    +

    3060 trb_msg = traceback.format_exc() 

    +

    3061 msg = "A failure in %s was caught:\n%s" 

    +

    3062 LOGGER.warning(msg, "_read_extra_node_connectivity, solid27", trb_msg) 

    +

    3063 finally: 

    +

    3064 position += array_length 

    +

    3065 

    +

    3066 # 21 node solid pentas 

    +

    3067 if ( 

    +

    3068 self.header.n_solids_21_node_pentas > 0 

    +

    3069 and self.header.quadratic_elems_has_full_connectivity 

    +

    3070 ): 

    +

    3071 array_length = 22 * self.header.n_solids_21_node_pentas * self.header.wordsize 

    +

    3072 try: 

    +

    3073 array = self._buffer.read_ndarray( 

    +

    3074 position, array_length, 1, self._header.itype 

    +

    3075 ).reshape((self.header.n_solids_21_node_pentas, 22)) 

    +

    3076 self.arrays[ArrayType.element_solid_node21_penta_element_index] = ( 

    +

    3077 array[:, 0] - FORTRAN_OFFSET 

    +

    3078 ) 

    +

    3079 self.arrays[ArrayType.element_solid_node21_penta_extra_node_indexes] = ( 

    +

    3080 array[:, 1:] - FORTRAN_OFFSET 

    +

    3081 ) 

    +

    3082 except Exception: 

    +

    3083 trb_msg = traceback.format_exc() 

    +

    3084 msg = "A failure in %s was caught:\n%s" 

    +

    3085 LOGGER.warning(msg, "_read_extra_node_connectivity, solid21p", trb_msg) 

    +

    3086 finally: 

    +

    3087 position += array_length 

    +

    3088 

    +

    3089 # 15 node solid tetras 

    +

    3090 if ( 

    +

    3091 self.header.n_solids_15_node_tetras > 0 

    +

    3092 and self.header.quadratic_elems_has_full_connectivity 

    +

    3093 ): 

    +

    3094 # manual says 8 but this seems odd 

    +

    3095 array_length = 8 * self.header.n_solids_15_node_tetras * self.header.wordsize 

    +

    3096 try: 

    +

    3097 array = self._buffer.read_ndarray( 

    +

    3098 position, array_length, 1, self._header.itype 

    +

    3099 ).reshape((self.header.n_solids_15_node_tetras, 8)) 

    +

    3100 self.arrays[ArrayType.element_solid_node15_tetras_element_index] = ( 

    +

    3101 array[:, 0] - FORTRAN_OFFSET 

    +

    3102 ) 

    +

    3103 self.arrays[ArrayType.element_solid_node15_tetras_extra_node_indexes] = ( 

    +

    3104 array[:, 1:] - FORTRAN_OFFSET 

    +

    3105 ) 

    +

    3106 except Exception: 

    +

    3107 trb_msg = traceback.format_exc() 

    +

    3108 msg = "A failure in %s was caught:\n%s" 

    +

    3109 LOGGER.warning(msg, "_read_extra_node_connectivity, solid15t", trb_msg) 

    +

    3110 finally: 

    +

    3111 position += array_length 

    +

    3112 

    +

    3113 # 20 node solid tetras 

    +

    3114 if self.header.n_solids_20_node_tetras > 0 and self.header.has_cubic_solids: 

    +

    3115 array_length = 21 * self.header.n_solids_20_node_tetras * self.header.wordsize 

    +

    3116 try: 

    +

    3117 array = self._buffer.read_ndarray( 

    +

    3118 position, array_length, 1, self._header.itype 

    +

    3119 ).reshape((self.header.n_solids_20_node_tetras, 21)) 

    +

    3120 self.arrays[ArrayType.element_solid_node20_tetras_element_index] = ( 

    +

    3121 array[:, 0] - FORTRAN_OFFSET 

    +

    3122 ) 

    +

    3123 self.arrays[ArrayType.element_solid_node20_tetras_extra_node_indexes] = ( 

    +

    3124 array[:, 1:] - FORTRAN_OFFSET 

    +

    3125 ) 

    +

    3126 except Exception: 

    +

    3127 trb_msg = traceback.format_exc() 

    +

    3128 msg = "A failure in %s was caught:\n%s" 

    +

    3129 LOGGER.warning(msg, "_read_extra_node_connectivity, solid20t", trb_msg) 

    +

    3130 finally: 

    +

    3131 position += array_length 

    +

    3132 

    +

    3133 # 40 node solid tetras 

    +

    3134 if self.header.n_solids_40_node_pentas > 0 and self.header.has_cubic_solids: 

    +

    3135 array_length = 41 * self.header.n_solids_40_node_pentas * self.header.wordsize 

    +

    3136 try: 

    +

    3137 array = self._buffer.read_ndarray( 

    +

    3138 position, array_length, 1, self._header.itype 

    +

    3139 ).reshape((self.header.n_solids_40_node_pentas, 41)) 

    +

    3140 self.arrays[ArrayType.element_solid_node40_pentas_element_index] = ( 

    +

    3141 array[:, 0] - FORTRAN_OFFSET 

    +

    3142 ) 

    +

    3143 self.arrays[ArrayType.element_solid_node40_pentas_extra_node_indexes] = ( 

    +

    3144 array[:, 1:] - FORTRAN_OFFSET 

    +

    3145 ) 

    +

    3146 except Exception: 

    +

    3147 trb_msg = traceback.format_exc() 

    +

    3148 msg = "A failure in %s was caught:\n%s" 

    +

    3149 LOGGER.warning(msg, "_read_extra_node_connectivity, solid40t", trb_msg) 

    +

    3150 finally: 

    +

    3151 position += array_length 

    +

    3152 

    +

    3153 # 64 node solid tetras 

    +

    3154 if self.header.n_solids_64_node_hexas > 0 and self.header.has_cubic_solids: 

    +

    3155 array_length = 65 * self.header.n_solids_64_node_hexas * self.header.wordsize 

    +

    3156 try: 

    +

    3157 array = self._buffer.read_ndarray( 

    +

    3158 position, array_length, 1, self._header.itype 

    +

    3159 ).reshape((self.header.n_solids_64_node_hexas, 65)) 

    +

    3160 self.arrays[ArrayType.element_solid_node64_hexas_element_index] = ( 

    +

    3161 array[:, 0] - FORTRAN_OFFSET 

    +

    3162 ) 

    +

    3163 self.arrays[ArrayType.element_solid_node64_hexas_extra_node_indexes] = ( 

    +

    3164 array[:, 1:] - FORTRAN_OFFSET 

    +

    3165 ) 

    +

    3166 except Exception: 

    +

    3167 trb_msg = traceback.format_exc() 

    +

    3168 msg = "A failure in %s was caught:\n%s" 

    +

    3169 LOGGER.warning(msg, "_read_extra_node_connectivity, solid64t", trb_msg) 

    +

    3170 finally: 

    +

    3171 position += array_length 

    +

    3172 

    +

    3173 # update position 

    +

    3174 self.geometry_section_size = position 

    +

    3175 

    +

    3176 LOGGER.debug("_read_extra_node_connectivity end at byte %d", self.geometry_section_size) 

    +

    3177 

    +

    3178 # pylint: disable = too-many-branches 

    +

    3179 @classmethod 

    +

    3180 def _read_header_part_contact_interface_titles( 

    +

    3181 cls, 

    +

    3182 header: D3plotHeader, 

    +

    3183 buffer: Union[BinaryBuffer, None], 

    +

    3184 geometry_section_size: int, 

    +

    3185 arrays: dict, 

    +

    3186 ) -> int: 

    +

    3187 """Read the header for the parts, contacts and interfaces 

    +

    3188 

    +

    3189 Parameters 

    +

    3190 ---------- 

    +

    3191 header: D3plotHeader 

    +

    3192 d3plot header 

    +

    3193 bb: BinaryBuffer 

    +

    3194 buffer holding geometry 

    +

    3195 geometry_section_size: int 

    +

    3196 size of the geometry section until now 

    +

    3197 arrays: dict 

    +

    3198 dictionary holding arrays and where arrays will be saved into 

    +

    3199 

    +

    3200 Returns 

    +

    3201 ------- 

    +

    3202 geometry_section_size: int 

    +

    3203 new size of the geometry section 

    +

    3204 """ 

    +

    3205 

    +

    3206 if not buffer: 

    +

    3207 return geometry_section_size 

    +

    3208 

    +

    3209 if header.filetype not in ( 

    +

    3210 D3plotFiletype.D3PLOT, 

    +

    3211 D3plotFiletype.D3PART, 

    +

    3212 D3plotFiletype.INTFOR, 

    +

    3213 ): 

    +

    3214 return geometry_section_size 

    +

    3215 

    +

    3216 LOGGER.debug( 

    +

    3217 "_read_header_part_contact_interface_titles start at byte %d", geometry_section_size 

    +

    3218 ) 

    +

    3219 

    +

    3220 position = geometry_section_size 

    +

    3221 

    +

    3222 # Security 

    +

    3223 # 

    +

    3224 # we try to read the titles ahead. If dyna writes multiple files 

    +

    3225 # then the first file is geometry only thus failing here has no 

    +

    3226 # impact on further state reading. 

    +

    3227 # If though states are compressed into the first file then we are 

    +

    3228 # in trouble here even when catching here. 

    +

    3229 try: 

    +

    3230 # there is only output if there is an eof marker 

    +

    3231 # at least I think I fixed such a bug in the past 

    +

    3232 if not cls._is_end_of_file_marker(buffer, position, header.ftype): 

    +

    3233 return geometry_section_size 

    +

    3234 

    +

    3235 position += header.wordsize 

    +

    3236 

    +

    3237 # section have types here according to what is inside 

    +

    3238 ntypes = [] 

    +

    3239 

    +

    3240 # read first ntype 

    +

    3241 current_ntype = buffer.read_number(position, header.itype) 

    +

    3242 

    +

    3243 while current_ntype in [90000, 90001, 90002, 90020]: 

    +

    3244 

    +

    3245 # title output 

    +

    3246 if current_ntype == 90000: 

    +

    3247 

    +

    3248 ntypes.append(current_ntype) 

    +

    3249 position += header.wordsize 

    +

    3250 

    +

    3251 # Bugfix: 

    +

    3252 # the titles are always 18*4 bytes, even if the wordsize 

    +

    3253 # is 8 bytes for the entire file. 

    +

    3254 titles_wordsize = 4 

    +

    3255 

    +

    3256 array_length = 18 * titles_wordsize 

    +

    3257 header.title2 = buffer.read_text(position, array_length) 

    +

    3258 position += array_length 

    +

    3259 

    +

    3260 # some title output 

    +

    3261 elif current_ntype in [90001, 90002, 90020]: 

    +

    3262 

    +

    3263 ntypes.append(current_ntype) 

    +

    3264 position += header.wordsize 

    +

    3265 

    +

    3266 # number of parts 

    +

    3267 entry_count = buffer.read_number(position, header.itype) 

    +

    3268 position += header.wordsize 

    +

    3269 

    +

    3270 # Bugfix: 

    +

    3271 # the titles are always 18*4 bytes, even if the wordsize 

    +

    3272 # is 8 bytes for the entire file. 

    +

    3273 titles_wordsize = 4 

    +

    3274 

    +

    3275 # part ids and corresponding titles 

    +

    3276 array_type = np.dtype( 

    +

    3277 [("ids", header.itype), ("titles", "S" + str(18 * titles_wordsize))] 

    +

    3278 ) 

    +

    3279 array_length = (header.wordsize + 18 * titles_wordsize) * int(entry_count) 

    +

    3280 tmp_arrays = buffer.read_ndarray(position, array_length, 1, array_type) 

    +

    3281 position += array_length 

    +

    3282 

    +

    3283 # save stuff 

    +

    3284 if current_ntype == 90001: 

    +

    3285 arrays[ArrayType.part_titles_ids] = tmp_arrays["ids"] 

    +

    3286 arrays[ArrayType.part_titles] = tmp_arrays["titles"] 

    +

    3287 elif current_ntype == 90002: 

    +

    3288 arrays[ArrayType.contact_title_ids] = tmp_arrays["ids"] 

    +

    3289 arrays[ArrayType.contact_titles] = tmp_arrays["titles"] 

    +

    3290 elif current_ntype == 90020: 

    +

    3291 arrays["icfd_part_title_ids"] = tmp_arrays["ids"] 

    +

    3292 arrays["icfd_part_titles"] = tmp_arrays["titles"] 

    +

    3293 

    +

    3294 # d3prop 

    +

    3295 elif current_ntype == 90100: 

    +

    3296 

    +

    3297 ntypes.append(current_ntype) 

    +

    3298 position += header.wordsize 

    +

    3299 

    +

    3300 # number of keywords 

    +

    3301 nline = buffer.read_number(position, header.itype) 

    +

    3302 position += header.wordsize 

    +

    3303 

    +

    3304 # Bugfix: 

    +

    3305 # the titles are always 18*4 bytes, even if the wordsize 

    +

    3306 # is 8 bytes for the entire file. 

    +

    3307 titles_wordsize = 4 

    +

    3308 

    +

    3309 # keywords 

    +

    3310 array_length = 20 * titles_wordsize * int(nline) 

    +

    3311 d3prop_keywords = buffer.read_ndarray( 

    +

    3312 position, array_length, 1, np.dtype("S" + str(titles_wordsize * 20)) 

    +

    3313 ) 

    +

    3314 position += array_length 

    +

    3315 

    +

    3316 # save 

    +

    3317 arrays["d3prop_keywords"] = d3prop_keywords 

    +

    3318 

    +

    3319 # not sure whether there is an eof file here 

    +

    3320 # do not have a test file to check ... 

    +

    3321 if cls._is_end_of_file_marker(buffer, position, header.ftype): 

    +

    3322 position += header.wordsize 

    +

    3323 

    +

    3324 # next one 

    +

    3325 if buffer.size <= position: 

    +

    3326 break 

    +

    3327 current_ntype = buffer.read_number(position, header.itype) 

    +

    3328 

    +

    3329 header.n_types = tuple(ntypes) 

    +

    3330 

    +

    3331 except Exception: 

    +

    3332 trb_msg = traceback.format_exc() 

    +

    3333 msg = "A failure in %s was caught:\n%s" 

    +

    3334 LOGGER.warning(msg, "_read_header_part_contact_interface_titles", trb_msg) 

    +

    3335 

    +

    3336 # remember position 

    +

    3337 geometry_section_size = position 

    +

    3338 LOGGER.debug( 

    +

    3339 "_read_header_part_contact_interface_titles end at byte %d", geometry_section_size 

    +

    3340 ) 

    +

    3341 

    +

    3342 return geometry_section_size 

    +

    3343 

    +

    3344 @staticmethod 

    +

    3345 def _read_states_allocate_arrays( 

    +

    3346 header: D3plotHeader, 

    +

    3347 material_section_info: MaterialSectionInfo, 

    +

    3348 airbag_info: AirbagInfo, 

    +

    3349 rigid_road_info: RigidRoadInfo, 

    +

    3350 rigid_body_info: RigidBodyInfo, 

    +

    3351 n_states: int, 

    +

    3352 n_rigid_walls: int, 

    +

    3353 n_parts: int, 

    +

    3354 array_names: Union[Iterable[str], None], 

    +

    3355 array_dict: dict, 

    +

    3356 ) -> None: 

    +

    3357 """Allocate the state arrays 

    +

    3358 

    +

    3359 Parameters 

    +

    3360 ---------- 

    +

    3361 header: D3plotHeader 

    +

    3362 header of the d3plot 

    +

    3363 material_section_info: MaterialSectionInfo 

    +

    3364 info about the material section data 

    +

    3365 airbag_info: AirbagInfo 

    +

    3366 info for airbags 

    +

    3367 rigid_road_info: RigidRoadInfo 

    +

    3368 info for rigid roads 

    +

    3369 rigid_body_info: RigidBodyInfo 

    +

    3370 info for rigid bodies 

    +

    3371 n_states: int 

    +

    3372 number of states to allocate memory for 

    +

    3373 n_rigid_walls: int 

    +

    3374 number of rigid walls 

    +

    3375 n_parts: int 

    +

    3376 number of parts 

    +

    3377 array_names: Union[Iterable[str], None] 

    +

    3378 names of state arrays to allocate (all if None) 

    +

    3379 array_dict: dict 

    +

    3380 dictionary to allocate arrays into 

    +

    3381 """ 

    +

    3382 

    +

    3383 # (1) ARRAY SHAPES 

    +

    3384 # general 

    +

    3385 n_dim = header.n_dimensions 

    +

    3386 # nodes 

    +

    3387 n_nodes = header.n_nodes 

    +

    3388 # solids 

    +

    3389 n_solids = header.n_solids 

    +

    3390 n_solids_thermal_vars = header.n_solid_thermal_vars 

    +

    3391 n_solids_strain_vars = 6 * header.has_element_strain * (header.n_solid_history_vars >= 6) 

    +

    3392 n_solid_thermal_strain_vars = 6 * header.has_solid_shell_thermal_strain_tensor 

    +

    3393 n_solid_plastic_strain_vars = 6 * header.has_solid_shell_plastic_strain_tensor 

    +

    3394 n_solid_layers = header.n_solid_layers 

    +

    3395 n_solids_history_vars = ( 

    +

    3396 header.n_solid_history_vars 

    +

    3397 - n_solids_strain_vars 

    +

    3398 - n_solid_thermal_strain_vars 

    +

    3399 - n_solid_plastic_strain_vars 

    +

    3400 ) 

    +

    3401 # thick shells 

    +

    3402 n_tshells = header.n_thick_shells 

    +

    3403 n_tshells_history_vars = header.n_shell_tshell_history_vars 

    +

    3404 n_tshells_layers = header.n_shell_tshell_layers 

    +

    3405 # beams 

    +

    3406 n_beams = header.n_beams 

    +

    3407 n_beams_history_vars = header.n_beam_history_vars 

    +

    3408 n_beam_vars = header.n_beam_vars 

    +

    3409 n_beams_layers = max( 

    +

    3410 int((-3 * n_beams_history_vars + n_beam_vars - 6) / (n_beams_history_vars + 5)), 0 

    +

    3411 ) 

    +

    3412 # shells 

    +

    3413 n_shells = header.n_shells 

    +

    3414 n_shells_reduced = header.n_shells - material_section_info.n_rigid_shells 

    +

    3415 n_shell_layers = header.n_shell_tshell_layers 

    +

    3416 n_shell_history_vars = header.n_shell_tshell_history_vars 

    +

    3417 # sph 

    +

    3418 allocate_sph = header.n_sph_nodes != 0 

    +

    3419 n_sph_particles = header.n_sph_nodes if allocate_sph else 0 

    +

    3420 # airbags 

    +

    3421 allocate_airbags = header.n_airbags != 0 

    +

    3422 n_airbags = header.n_airbags if allocate_airbags else 0 

    +

    3423 n_airbag_particles = airbag_info.n_particles if allocate_airbags else 0 

    +

    3424 # rigid roads 

    +

    3425 allocate_rigid_roads = rigid_road_info.n_roads != 0 

    +

    3426 n_roads = rigid_road_info.n_roads if allocate_rigid_roads else 0 

    +

    3427 # rigid bodies 

    +

    3428 n_rigid_bodies = rigid_body_info.n_rigid_bodies 

    +

    3429 

    +

    3430 # dictionary to lookup array types 

    +

    3431 state_array_shapes = { 

    +

    3432 # global 

    +

    3433 ArrayType.global_timesteps: [n_states], 

    +

    3434 ArrayType.global_kinetic_energy: [n_states], 

    +

    3435 ArrayType.global_internal_energy: [n_states], 

    +

    3436 ArrayType.global_total_energy: [n_states], 

    +

    3437 ArrayType.global_velocity: [n_states, 3], 

    +

    3438 # parts 

    +

    3439 ArrayType.part_internal_energy: [n_states, n_parts], 

    +

    3440 ArrayType.part_kinetic_energy: [n_states, n_parts], 

    +

    3441 ArrayType.part_velocity: [n_states, n_parts, 3], 

    +

    3442 ArrayType.part_mass: [n_states, n_parts], 

    +

    3443 ArrayType.part_hourglass_energy: [n_states, n_parts], 

    +

    3444 # rigid wall 

    +

    3445 ArrayType.rigid_wall_force: [n_states, n_rigid_walls], 

    +

    3446 ArrayType.rigid_wall_position: [n_states, n_rigid_walls, 3], 

    +

    3447 # nodes 

    +

    3448 ArrayType.node_temperature: [n_states, n_nodes, 3] 

    +

    3449 if header.has_node_temperature_layers 

    +

    3450 else [n_states, n_nodes], 

    +

    3451 ArrayType.node_heat_flux: [n_states, n_nodes, 3], 

    +

    3452 ArrayType.node_mass_scaling: [n_states, n_nodes], 

    +

    3453 ArrayType.node_displacement: [n_states, n_nodes, n_dim], 

    +

    3454 ArrayType.node_velocity: [n_states, n_nodes, n_dim], 

    +

    3455 ArrayType.node_acceleration: [n_states, n_nodes, n_dim], 

    +

    3456 ArrayType.node_temperature_gradient: [n_states, n_nodes], 

    +

    3457 ArrayType.node_residual_forces: [n_states, n_nodes, 3], 

    +

    3458 ArrayType.node_residual_moments: [n_states, n_nodes, 3], 

    +

    3459 # solids 

    +

    3460 ArrayType.element_solid_thermal_data: [n_states, n_solids, n_solids_thermal_vars], 

    +

    3461 ArrayType.element_solid_stress: [n_states, n_solids, n_solid_layers, 6], 

    +

    3462 ArrayType.element_solid_effective_plastic_strain: [n_states, n_solids, n_solid_layers], 

    +

    3463 ArrayType.element_solid_history_variables: [ 

    +

    3464 n_states, 

    +

    3465 n_solids, 

    +

    3466 n_solid_layers, 

    +

    3467 n_solids_history_vars, 

    +

    3468 ], 

    +

    3469 ArrayType.element_solid_strain: [n_states, n_solids, n_solid_layers, 6], 

    +

    3470 ArrayType.element_solid_is_alive: [n_states, n_solids], 

    +

    3471 ArrayType.element_solid_plastic_strain_tensor: [n_states, n_solids, n_solid_layers, 6], 

    +

    3472 ArrayType.element_solid_thermal_strain_tensor: [n_states, n_solids, n_solid_layers, 6], 

    +

    3473 # thick shells 

    +

    3474 ArrayType.element_tshell_stress: [n_states, n_tshells, n_tshells_layers, 6], 

    +

    3475 ArrayType.element_tshell_effective_plastic_strain: [ 

    +

    3476 n_states, 

    +

    3477 n_tshells, 

    +

    3478 n_tshells_layers, 

    +

    3479 ], 

    +

    3480 ArrayType.element_tshell_history_variables: [ 

    +

    3481 n_states, 

    +

    3482 n_tshells, 

    +

    3483 n_tshells_layers, 

    +

    3484 n_tshells_history_vars, 

    +

    3485 ], 

    +

    3486 ArrayType.element_tshell_strain: [n_states, n_tshells, 2, 6], 

    +

    3487 ArrayType.element_tshell_is_alive: [n_states, n_tshells], 

    +

    3488 # beams 

    +

    3489 ArrayType.element_beam_axial_force: [n_states, n_beams], 

    +

    3490 ArrayType.element_beam_shear_force: [n_states, n_beams, 2], 

    +

    3491 ArrayType.element_beam_bending_moment: [n_states, n_beams, 2], 

    +

    3492 ArrayType.element_beam_torsion_moment: [n_states, n_beams], 

    +

    3493 ArrayType.element_beam_shear_stress: [n_states, n_beams, n_beams_layers, 2], 

    +

    3494 ArrayType.element_beam_axial_stress: [n_states, n_beams, n_beams_layers], 

    +

    3495 ArrayType.element_beam_plastic_strain: [n_states, n_beams, n_beams_layers], 

    +

    3496 ArrayType.element_beam_axial_strain: [n_states, n_beams, n_beams_layers], 

    +

    3497 ArrayType.element_beam_history_vars: [ 

    +

    3498 n_states, 

    +

    3499 n_beams, 

    +

    3500 n_beams_layers + 3, 

    +

    3501 n_beams_history_vars, 

    +

    3502 ], 

    +

    3503 ArrayType.element_beam_is_alive: [n_states, n_beams], 

    +

    3504 # shells 

    +

    3505 ArrayType.element_shell_stress: [n_states, n_shells_reduced, n_shell_layers, 6], 

    +

    3506 ArrayType.element_shell_effective_plastic_strain: [ 

    +

    3507 n_states, 

    +

    3508 n_shells_reduced, 

    +

    3509 n_shell_layers, 

    +

    3510 ], 

    +

    3511 ArrayType.element_shell_history_vars: [ 

    +

    3512 n_states, 

    +

    3513 n_shells_reduced, 

    +

    3514 n_shell_layers, 

    +

    3515 n_shell_history_vars, 

    +

    3516 ], 

    +

    3517 ArrayType.element_shell_bending_moment: [n_states, n_shells_reduced, 3], 

    +

    3518 ArrayType.element_shell_shear_force: [n_states, n_shells_reduced, 2], 

    +

    3519 ArrayType.element_shell_normal_force: [n_states, n_shells_reduced, 3], 

    +

    3520 ArrayType.element_shell_thickness: [n_states, n_shells_reduced], 

    +

    3521 ArrayType.element_shell_unknown_variables: [n_states, n_shells_reduced, 2], 

    +

    3522 ArrayType.element_shell_internal_energy: [n_states, n_shells_reduced], 

    +

    3523 ArrayType.element_shell_strain: [n_states, n_shells_reduced, 2, 6], 

    +

    3524 ArrayType.element_shell_thermal_strain_tensor: [n_states, n_shells_reduced, 6], 

    +

    3525 ArrayType.element_shell_plastic_strain_tensor: [ 

    +

    3526 n_states, 

    +

    3527 n_shells_reduced, 

    +

    3528 n_shell_layers, 

    +

    3529 6, 

    +

    3530 ], 

    +

    3531 ArrayType.element_shell_is_alive: [n_states, n_shells], 

    +

    3532 # sph 

    +

    3533 ArrayType.sph_deletion: [n_states, n_sph_particles], 

    +

    3534 ArrayType.sph_radius: [n_states, n_sph_particles], 

    +

    3535 ArrayType.sph_pressure: [n_states, n_sph_particles], 

    +

    3536 ArrayType.sph_stress: [n_states, n_sph_particles, 6], 

    +

    3537 ArrayType.sph_effective_plastic_strain: [n_states, n_sph_particles], 

    +

    3538 ArrayType.sph_density: [n_states, n_sph_particles], 

    +

    3539 ArrayType.sph_internal_energy: [n_states, n_sph_particles], 

    +

    3540 ArrayType.sph_n_neighbors: [n_states, n_sph_particles], 

    +

    3541 ArrayType.sph_strain: [n_states, n_sph_particles, 6], 

    +

    3542 ArrayType.sph_mass: [n_states, n_sph_particles], 

    +

    3543 # airbag 

    +

    3544 ArrayType.airbag_n_active_particles: [n_states, n_airbags], 

    +

    3545 ArrayType.airbag_bag_volume: [n_states, n_airbags], 

    +

    3546 ArrayType.airbag_particle_gas_id: [n_states, n_airbag_particles], 

    +

    3547 ArrayType.airbag_particle_chamber_id: [n_states, n_airbag_particles], 

    +

    3548 ArrayType.airbag_particle_leakage: [n_states, n_airbag_particles], 

    +

    3549 ArrayType.airbag_particle_mass: [n_states, n_airbag_particles], 

    +

    3550 ArrayType.airbag_particle_radius: [n_states, n_airbag_particles], 

    +

    3551 ArrayType.airbag_particle_spin_energy: [n_states, n_airbag_particles], 

    +

    3552 ArrayType.airbag_particle_translation_energy: [n_states, n_airbag_particles], 

    +

    3553 ArrayType.airbag_particle_nearest_segment_distance: [n_states, n_airbag_particles], 

    +

    3554 ArrayType.airbag_particle_position: [n_states, n_airbag_particles, 3], 

    +

    3555 ArrayType.airbag_particle_velocity: [n_states, n_airbag_particles, 3], 

    +

    3556 # rigid road 

    +

    3557 ArrayType.rigid_road_displacement: [n_states, n_roads, 3], 

    +

    3558 ArrayType.rigid_road_velocity: [n_states, n_roads, 3], 

    +

    3559 # rigid body 

    +

    3560 ArrayType.rigid_body_coordinates: [n_states, n_rigid_bodies, 3], 

    +

    3561 ArrayType.rigid_body_rotation_matrix: [n_states, n_rigid_bodies, 9], 

    +

    3562 ArrayType.rigid_body_velocity: [n_states, n_rigid_bodies, 3], 

    +

    3563 ArrayType.rigid_body_rot_velocity: [n_states, n_rigid_bodies, 3], 

    +

    3564 ArrayType.rigid_body_acceleration: [n_states, n_rigid_bodies, 3], 

    +

    3565 ArrayType.rigid_body_rot_acceleration: [n_states, n_rigid_bodies, 3], 

    +

    3566 } 

    +

    3567 

    +

    3568 # only allocate available arrays 

    +

    3569 if array_names is None: 

    +

    3570 array_names = ArrayType.get_state_array_names() 

    +

    3571 

    +

    3572 # BUGFIX 

    +

    3573 # These arrays are actually integer types, all other state arrays 

    +

    3574 # are floats 

    +

    3575 int_state_arrays = [ 

    +

    3576 ArrayType.airbag_n_active_particles, 

    +

    3577 ArrayType.airbag_particle_gas_id, 

    +

    3578 ArrayType.airbag_particle_chamber_id, 

    +

    3579 ArrayType.airbag_particle_leakage, 

    +

    3580 ] 

    +

    3581 

    +

    3582 # (2) ALLOCATE ARRAYS 

    +

    3583 # this looper allocates the arrays specified by the user. 

    +

    3584 for array_name in array_names: 

    +

    3585 

    +

    3586 array_dtype = header.ftype if array_name not in int_state_arrays else header.itype 

    +

    3587 

    +

    3588 if array_name in state_array_shapes: 

    +

    3589 array_dict[array_name] = np.empty(state_array_shapes[array_name], dtype=array_dtype) 

    +

    3590 else: 

    +

    3591 raise ValueError( 

    +

    3592 f"Array '{array_name}' is not a state array. " 

    +

    3593 f"Please try one of: {list(state_array_shapes.keys())}", 

    +

    3594 ) 

    +

    3595 

    +

    3596 @staticmethod 

    +

    3597 def _read_states_transfer_memory( 

    +

    3598 i_state: int, buffer_array_dict: dict, master_array_dict: dict 

    +

    3599 ): 

    +

    3600 """Transfers the memory from smaller buffer arrays with only a few 

    +

    3601 timesteps into the major one 

    +

    3602 

    +

    3603 Parameters 

    +

    3604 ---------- 

    +

    3605 i_state: int 

    +

    3606 current state index 

    +

    3607 buffer_array_dict: dict 

    +

    3608 dict with arrays of only a few timesteps 

    +

    3609 master_array_dict: dict 

    +

    3610 dict with the parent master arrays 

    +

    3611 

    +

    3612 Notes 

    +

    3613 ----- 

    +

    3614 If an array in the master dict is not found in the buffer dict 

    +

    3615 then this array is set to `None`. 

    +

    3616 """ 

    +

    3617 

    +

    3618 state_array_names = ArrayType.get_state_array_names() 

    +

    3619 

    +

    3620 arrays_to_delete = [] 

    +

    3621 for array_name, array in master_array_dict.items(): 

    +

    3622 

    +

    3623 # copy memory to big array 

    +

    3624 if array_name in buffer_array_dict: 

    +

    3625 buffer_array = buffer_array_dict[array_name] 

    +

    3626 n_states_buffer_array = buffer_array.shape[0] 

    +

    3627 array[i_state : i_state + n_states_buffer_array] = buffer_array 

    +

    3628 else: 

    +

    3629 # remove unnecesary state arrays (not geometry arrays!) 

    +

    3630 # we "could" deal with this in the allocate function 

    +

    3631 # by not allocating them but this would replicate code 

    +

    3632 # in the reading functions 

    +

    3633 if array_name in state_array_names: 

    +

    3634 arrays_to_delete.append(array_name) 

    +

    3635 

    +

    3636 for array_name in arrays_to_delete: 

    +

    3637 del master_array_dict[array_name] 

    +

    3638 

    +

    3639 def _compute_n_bytes_per_state(self) -> int: 

    +

    3640 """Computes the number of bytes for every state 

    +

    3641 

    +

    3642 Returns 

    +

    3643 ------- 

    +

    3644 n_bytes_per_state: int 

    +

    3645 number of bytes of every state 

    +

    3646 """ 

    +

    3647 

    +

    3648 if not self.header: 

    +

    3649 return 0 

    +

    3650 

    +

    3651 # timestep 

    +

    3652 timestep_offset = 1 * self.header.wordsize 

    +

    3653 # global vars 

    +

    3654 global_vars_offset = self.header.n_global_vars * self.header.wordsize 

    +

    3655 # node vars 

    +

    3656 n_node_vars = ( 

    +

    3657 self.header.has_node_displacement 

    +

    3658 + self.header.has_node_velocity 

    +

    3659 + self.header.has_node_acceleration 

    +

    3660 ) * self.header.n_dimensions 

    +

    3661 

    +

    3662 if self.header.has_node_temperatures: 

    +

    3663 n_node_vars += 1 

    +

    3664 if self.header.has_node_temperature_layers: 

    +

    3665 n_node_vars += 2 

    +

    3666 if self.header.has_node_heat_flux: 

    +

    3667 n_node_vars += 3 

    +

    3668 if self.header.has_node_mass_scaling: 

    +

    3669 n_node_vars += 1 

    +

    3670 if self.header.has_node_temperature_gradient: 

    +

    3671 n_node_vars += 1 

    +

    3672 if self.header.has_node_residual_forces: 

    +

    3673 n_node_vars += 3 

    +

    3674 if self.header.has_node_residual_moments: 

    +

    3675 n_node_vars += 3 

    +

    3676 

    +

    3677 node_data_offset = n_node_vars * self.header.n_nodes * self.header.wordsize 

    +

    3678 # thermal shit 

    +

    3679 therm_data_offset = ( 

    +

    3680 self.header.n_solid_thermal_vars * self.header.n_solids * self.header.wordsize 

    +

    3681 ) 

    +

    3682 # solids 

    +

    3683 solid_offset = self.header.n_solids * self.header.n_solid_vars * self.header.wordsize 

    +

    3684 # tshells 

    +

    3685 tshell_offset = ( 

    +

    3686 self.header.n_thick_shells * self.header.n_thick_shell_vars * self.header.wordsize 

    +

    3687 ) 

    +

    3688 # beams 

    +

    3689 beam_offset = self.header.n_beams * self.header.n_beam_vars * self.header.wordsize 

    +

    3690 # shells 

    +

    3691 shell_offset = ( 

    +

    3692 (self.header.n_shells - self._material_section_info.n_rigid_shells) 

    +

    3693 * self.header.n_shell_vars 

    +

    3694 * self.header.wordsize 

    +

    3695 ) 

    +

    3696 # Manual 

    +

    3697 # "NOTE: This CFDDATA is no longer output by ls-dyna." 

    +

    3698 cfd_data_offset = 0 

    +

    3699 # sph 

    +

    3700 sph_offset = self.header.n_sph_nodes * self._sph_info.n_sph_vars * self.header.wordsize 

    +

    3701 # deleted nodes and elems ... or nothing 

    +

    3702 elem_deletion_offset = 0 

    +

    3703 if self.header.has_node_deletion_data: 

    +

    3704 elem_deletion_offset = self.header.n_nodes * self.header.wordsize 

    +

    3705 elif self.header.has_element_deletion_data: 

    +

    3706 elem_deletion_offset = ( 

    +

    3707 self.header.n_beams 

    +

    3708 + self.header.n_shells 

    +

    3709 + self.header.n_solids 

    +

    3710 + self.header.n_thick_shells 

    +

    3711 ) * self.header.wordsize 

    +

    3712 # airbag particle offset 

    +

    3713 if self._airbag_info.n_airbags: 

    +

    3714 particle_state_offset = ( 

    +

    3715 self._airbag_info.n_airbags * self._airbag_info.n_airbag_state_variables 

    +

    3716 + self._airbag_info.n_particles * self._airbag_info.n_particle_state_variables 

    +

    3717 ) * self.header.wordsize 

    +

    3718 else: 

    +

    3719 particle_state_offset = 0 

    +

    3720 # rigid road stuff whoever uses this 

    +

    3721 road_surface_offset = self._rigid_road_info.n_roads * 6 * self.header.wordsize 

    +

    3722 # rigid body motion data 

    +

    3723 if self.header.has_rigid_body_data: 

    +

    3724 n_rigids = self._rigid_body_info.n_rigid_bodies 

    +

    3725 n_rigid_vars = 12 if self.header.has_reduced_rigid_body_data else 24 

    +

    3726 rigid_body_motion_offset = n_rigids * n_rigid_vars * self.header.wordsize 

    +

    3727 else: 

    +

    3728 rigid_body_motion_offset = 0 

    +

    3729 # ... not supported 

    +

    3730 extra_data_offset = 0 

    +

    3731 

    +

    3732 n_bytes_per_state = ( 

    +

    3733 timestep_offset 

    +

    3734 + global_vars_offset 

    +

    3735 + node_data_offset 

    +

    3736 + therm_data_offset 

    +

    3737 + solid_offset 

    +

    3738 + tshell_offset 

    +

    3739 + beam_offset 

    +

    3740 + shell_offset 

    +

    3741 + cfd_data_offset 

    +

    3742 + sph_offset 

    +

    3743 + elem_deletion_offset 

    +

    3744 + particle_state_offset 

    +

    3745 + road_surface_offset 

    +

    3746 + rigid_body_motion_offset 

    +

    3747 + extra_data_offset 

    +

    3748 ) 

    +

    3749 return n_bytes_per_state 

    +

    3750 

    +

    3751 def _read_states(self, filepath: str): 

    +

    3752 """Read the states from the d3plot 

    +

    3753 

    +

    3754 Parameters 

    +

    3755 ---------- 

    +

    3756 filepath: str 

    +

    3757 path to the d3plot 

    +

    3758 """ 

    +

    3759 

    +

    3760 if not self._buffer or not filepath: 

    +

    3761 self._state_info.n_timesteps = 0 

    +

    3762 return 

    +

    3763 

    +

    3764 LOGGER.debug("-------- S T A T E S --------") 

    +

    3765 LOGGER.debug("_read_states with geom offset %d", self.geometry_section_size) 

    +

    3766 

    +

    3767 # (0) OFFSETS 

    +

    3768 bytes_per_state = self._compute_n_bytes_per_state() 

    +

    3769 LOGGER.debug("bytes_per_state: %d", bytes_per_state) 

    +

    3770 

    +

    3771 # load the memory from the files 

    +

    3772 if self._femzip_info.use_femzip: 

    +

    3773 bytes_per_state += 1 * self.header.wordsize 

    +

    3774 self.bb_generator = self._read_femzip_file_generator( 

    +

    3775 self.buffered_reading, self.state_filter 

    +

    3776 ) 

    +

    3777 else: 

    +

    3778 self.bb_generator = self._read_d3plot_file_generator( 

    +

    3779 self.buffered_reading, self.state_filter 

    +

    3780 ) 

    +

    3781 

    +

    3782 # (1) READ STATE DATA 

    +

    3783 n_states = next(self.bb_generator) 

    +

    3784 

    +

    3785 # determine whether to transfer arrays 

    +

    3786 if not self.buffered_reading: 

    +

    3787 transfer_arrays = False 

    +

    3788 else: 

    +

    3789 transfer_arrays = True 

    +

    3790 if self.state_filter is not None and any(self.state_filter): 

    +

    3791 transfer_arrays = True 

    +

    3792 if self.state_array_filter: 

    +

    3793 transfer_arrays = True 

    +

    3794 

    +

    3795 # arrays need to be preallocated if we transfer them 

    +

    3796 if transfer_arrays: 

    +

    3797 self._read_states_allocate_arrays( 

    +

    3798 self.header, 

    +

    3799 self._material_section_info, 

    +

    3800 self._airbag_info, 

    +

    3801 self._rigid_road_info, 

    +

    3802 self._rigid_body_info, 

    +

    3803 n_states, 

    +

    3804 self._n_rigid_walls, 

    +

    3805 self._n_parts, 

    +

    3806 self.state_array_filter, 

    +

    3807 self.arrays, 

    +

    3808 ) 

    +

    3809 

    +

    3810 i_state = 0 

    +

    3811 for bb_states, n_states in self.bb_generator: 

    +

    3812 

    +

    3813 # dictionary to store the temporary, partial arrays 

    +

    3814 # if we do not transfer any arrays we store them directly 

    +

    3815 # in the classes main dict 

    +

    3816 array_dict = {} if transfer_arrays else self.arrays 

    +

    3817 

    +

    3818 # sometimes there is just a geometry in the file 

    +

    3819 if n_states == 0: 

    +

    3820 continue 

    +

    3821 

    +

    3822 # state data as array 

    +

    3823 array_length = int(n_states) * int(bytes_per_state) 

    +

    3824 state_data = bb_states.read_ndarray(0, array_length, 1, self.header.ftype) 

    +

    3825 state_data = state_data.reshape((n_states, -1)) 

    +

    3826 

    +

    3827 var_index = 0 

    +

    3828 

    +

    3829 # global state header 

    +

    3830 var_index = self._read_states_global_section(state_data, var_index, array_dict) 

    +

    3831 

    +

    3832 # node data 

    +

    3833 var_index = self._read_states_nodes(state_data, var_index, array_dict) 

    +

    3834 

    +

    3835 # thermal solid data 

    +

    3836 var_index = self._read_states_solids_thermal(state_data, var_index, array_dict) 

    +

    3837 

    +

    3838 # cfddata was originally here 

    +

    3839 

    +

    3840 # solids 

    +

    3841 var_index = self._read_states_solids(state_data, var_index, array_dict) 

    +

    3842 

    +

    3843 # tshells 

    +

    3844 var_index = self._read_states_tshell(state_data, var_index, array_dict) 

    +

    3845 

    +

    3846 # beams 

    +

    3847 var_index = self._read_states_beams(state_data, var_index, array_dict) 

    +

    3848 

    +

    3849 # shells 

    +

    3850 var_index = self._read_states_shell(state_data, var_index, array_dict) 

    +

    3851 

    +

    3852 # element and node deletion info 

    +

    3853 var_index = self._read_states_is_alive(state_data, var_index, array_dict) 

    +

    3854 

    +

    3855 # sph 

    +

    3856 var_index = self._read_states_sph(state_data, var_index, array_dict) 

    +

    3857 

    +

    3858 # airbag particle data 

    +

    3859 var_index = self._read_states_airbags(state_data, var_index, array_dict) 

    +

    3860 

    +

    3861 # road surface data 

    +

    3862 var_index = self._read_states_road_surfaces(state_data, var_index, array_dict) 

    +

    3863 

    +

    3864 # rigid body motion 

    +

    3865 var_index = self._read_states_rigid_body_motion(state_data, var_index, array_dict) 

    +

    3866 

    +

    3867 # transfer memory 

    +

    3868 if transfer_arrays: 

    +

    3869 self._read_states_transfer_memory(i_state, array_dict, self.arrays) 

    +

    3870 

    +

    3871 # increment state counter 

    +

    3872 i_state += n_states 

    +

    3873 self._state_info.n_timesteps = i_state 

    +

    3874 

    +

    3875 if transfer_arrays: 

    +

    3876 self._buffer = None 

    +

    3877 self.bb_states = None 

    +

    3878 

    +

    3879 def _read_states_global_section( 

    +

    3880 self, state_data: np.ndarray, var_index: int, array_dict: dict 

    +

    3881 ) -> int: 

    +

    3882 """Read the global vars for the state 

    +

    3883 

    +

    3884 Parameters 

    +

    3885 ---------- 

    +

    3886 state_data: np.ndarray 

    +

    3887 array with entire state data 

    +

    3888 var_index: int 

    +

    3889 variable index in the state data array 

    +

    3890 array_dict: dict 

    +

    3891 dictionary to store the loaded arrays in 

    +

    3892 

    +

    3893 Returns 

    +

    3894 ------- 

    +

    3895 var_index: int 

    +

    3896 updated variable index after reading the section 

    +

    3897 """ 

    +

    3898 

    +

    3899 LOGGER.debug("_read_states_global_section start at var_index %d", var_index) 

    +

    3900 

    +

    3901 # we wrap globals, parts and rigid walls into a single try 

    +

    3902 # catch block since in the header the global section is 

    +

    3903 # defined by those three. If we fail in any of those we can 

    +

    3904 # only heal by skipping all together and jumping forward 

    +

    3905 original_var_index = var_index 

    +

    3906 try: 

    +

    3907 # timestep 

    +

    3908 array_dict[ArrayType.global_timesteps] = state_data[:, var_index] 

    +

    3909 var_index += 1 

    +

    3910 

    +

    3911 # global stuff 

    +

    3912 var_index = self._read_states_globals(state_data, var_index, array_dict) 

    +

    3913 

    +

    3914 # parts 

    +

    3915 var_index = self._read_states_parts(state_data, var_index, array_dict) 

    +

    3916 

    +

    3917 # rigid walls 

    +

    3918 var_index = self._read_states_rigid_walls(state_data, var_index, array_dict) 

    +

    3919 

    +

    3920 except Exception: 

    +

    3921 # print 

    +

    3922 trb_msg = traceback.format_exc() 

    +

    3923 msg = "A failure in %s was caught:\n%s" 

    +

    3924 LOGGER.warning(msg, "_read_states_global_section", trb_msg) 

    +

    3925 finally: 

    +

    3926 timestep_var_size = 1 

    +

    3927 var_index = original_var_index + self.header.n_global_vars + timestep_var_size 

    +

    3928 

    +

    3929 LOGGER.debug("_read_states_global_section end at var_index %d", var_index) 

    +

    3930 

    +

    3931 return var_index 

    +

    3932 

    +

    3933 def _read_states_globals(self, state_data: np.ndarray, var_index: int, array_dict: dict) -> int: 

    +

    3934 """Read the part data in the state section 

    +

    3935 

    +

    3936 Parameters 

    +

    3937 ---------- 

    +

    3938 state_data: np.ndarray 

    +

    3939 array with entire state data 

    +

    3940 var_index: int 

    +

    3941 variable index in the state data array 

    +

    3942 array_dict: dict 

    +

    3943 dictionary to store the loaded arrays in 

    +

    3944 

    +

    3945 Returns 

    +

    3946 ------- 

    +

    3947 var_index: int 

    +

    3948 updated variable index after reading the section 

    +

    3949 """ 

    +

    3950 

    +

    3951 n_global_vars = self.header.n_global_vars 

    +

    3952 

    +

    3953 # global stuff 

    +

    3954 i_global_var = 0 

    +

    3955 if i_global_var < n_global_vars: 

    +

    3956 array_dict[ArrayType.global_kinetic_energy] = state_data[:, var_index + i_global_var] 

    +

    3957 i_global_var += 1 

    +

    3958 if i_global_var < n_global_vars: 

    +

    3959 array_dict[ArrayType.global_internal_energy] = state_data[:, var_index + i_global_var] 

    +

    3960 i_global_var += 1 

    +

    3961 if i_global_var < n_global_vars: 

    +

    3962 array_dict[ArrayType.global_total_energy] = state_data[:, var_index + i_global_var] 

    +

    3963 i_global_var += 1 

    +

    3964 if i_global_var + 3 <= n_global_vars: 

    +

    3965 array_dict[ArrayType.global_velocity] = state_data[ 

    +

    3966 :, var_index + i_global_var : var_index + i_global_var + 3 

    +

    3967 ] 

    +

    3968 i_global_var += 3 

    +

    3969 

    +

    3970 return var_index + i_global_var 

    +

    3971 

    +

    3972 def _read_states_parts(self, state_data: np.ndarray, var_index: int, array_dict: dict) -> int: 

    +

    3973 """Read the part data in the state section 

    +

    3974 

    +

    3975 Parameters 

    +

    3976 ---------- 

    +

    3977 state_data: np.ndarray 

    +

    3978 array with entire state data 

    +

    3979 var_index: int 

    +

    3980 variable index in the state data array 

    +

    3981 array_dict: dict 

    +

    3982 dictionary to store the loaded arrays in 

    +

    3983 

    +

    3984 Returns 

    +

    3985 ------- 

    +

    3986 var_index: int 

    +

    3987 updated variable index after reading the section 

    +

    3988 """ 

    +

    3989 

    +

    3990 n_states = state_data.shape[0] 

    +

    3991 timestep_word = 1 

    +

    3992 n_global_vars = self.header.n_global_vars + timestep_word 

    +

    3993 

    +

    3994 # part infos 

    +

    3995 # n_parts = self._n_parts 

    +

    3996 n_parts = self.header.n_parts 

    +

    3997 

    +

    3998 # part internal energy 

    +

    3999 if var_index + n_parts <= n_global_vars: 

    +

    4000 array_dict[ArrayType.part_internal_energy] = state_data[ 

    +

    4001 :, var_index : var_index + n_parts 

    +

    4002 ] 

    +

    4003 var_index += n_parts 

    +

    4004 

    +

    4005 # part kinetic energy 

    +

    4006 if var_index + n_parts <= n_global_vars: 

    +

    4007 array_dict[ArrayType.part_kinetic_energy] = state_data[ 

    +

    4008 :, var_index : var_index + n_parts 

    +

    4009 ] 

    +

    4010 var_index += n_parts 

    +

    4011 

    +

    4012 # part velocity 

    +

    4013 if var_index + 3 * n_parts <= n_global_vars: 

    +

    4014 array_dict[ArrayType.part_velocity] = state_data[ 

    +

    4015 :, var_index : var_index + 3 * n_parts 

    +

    4016 ].reshape((n_states, n_parts, 3)) 

    +

    4017 var_index += 3 * n_parts 

    +

    4018 

    +

    4019 # part mass 

    +

    4020 if var_index + n_parts <= n_global_vars: 

    +

    4021 array_dict[ArrayType.part_mass] = state_data[:, var_index : var_index + n_parts] 

    +

    4022 var_index += n_parts 

    +

    4023 

    +

    4024 # part hourglass energy 

    +

    4025 if var_index + n_parts <= n_global_vars: 

    +

    4026 array_dict[ArrayType.part_hourglass_energy] = state_data[ 

    +

    4027 :, var_index : var_index + n_parts 

    +

    4028 ] 

    +

    4029 var_index += n_parts 

    +

    4030 

    +

    4031 return var_index 

    +

    4032 

    +

    4033 def _read_states_rigid_walls( 

    +

    4034 self, state_data: np.ndarray, var_index: int, array_dict: dict 

    +

    4035 ) -> int: 

    +

    4036 """Read the rigid wall data in the state section 

    +

    4037 

    +

    4038 Parameters 

    +

    4039 ---------- 

    +

    4040 state_data: np.ndarray 

    +

    4041 array with entire state data 

    +

    4042 var_index: int 

    +

    4043 variable index in the state data array 

    +

    4044 array_dict: dict 

    +

    4045 dictionary to store the loaded arrays in 

    +

    4046 

    +

    4047 Returns 

    +

    4048 ------- 

    +

    4049 var_index: int 

    +

    4050 updated variable index after reading the section 

    +

    4051 """ 

    +

    4052 

    +

    4053 n_states = state_data.shape[0] 

    +

    4054 

    +

    4055 i_global_var = 6 + 7 * self.header.n_parts 

    +

    4056 n_global_vars = self.header.n_global_vars 

    +

    4057 

    +

    4058 # rigid walls 

    +

    4059 previous_global_vars = i_global_var 

    +

    4060 n_rigid_wall_vars = 4 if self.header.version >= 971 else 1 

    +

    4061 # +1 is timestep which is not considered a global var ... seriously 

    +

    4062 n_rigid_walls = self._n_rigid_walls 

    +

    4063 if n_global_vars >= previous_global_vars + n_rigid_walls * n_rigid_wall_vars: 

    +

    4064 if ( 

    +

    4065 previous_global_vars + n_rigid_walls * n_rigid_wall_vars 

    +

    4066 != self.header.n_global_vars 

    +

    4067 ): 

    +

    4068 LOGGER.warning("Bug while reading global data for rigid walls. Skipping this data.") 

    +

    4069 var_index += self.header.n_global_vars - previous_global_vars 

    +

    4070 else: 

    +

    4071 

    +

    4072 # rigid wall force 

    +

    4073 if n_rigid_walls * n_rigid_wall_vars != 0: 

    +

    4074 array_dict[ArrayType.rigid_wall_force] = state_data[ 

    +

    4075 :, var_index : var_index + n_rigid_walls 

    +

    4076 ] 

    +

    4077 var_index += n_rigid_walls 

    +

    4078 

    +

    4079 # rigid wall position 

    +

    4080 if n_rigid_wall_vars > 1: 

    +

    4081 array_dict[ArrayType.rigid_wall_position] = state_data[ 

    +

    4082 :, var_index : var_index + 3 * n_rigid_walls 

    +

    4083 ].reshape(n_states, n_rigid_walls, 3) 

    +

    4084 var_index += 3 * n_rigid_walls 

    +

    4085 

    +

    4086 return var_index 

    +

    4087 

    +

    4088 def _read_states_nodes(self, state_data: np.ndarray, var_index: int, array_dict: dict) -> int: 

    +

    4089 """Read the node data in the state section 

    +

    4090 

    +

    4091 Parameters 

    +

    4092 ---------- 

    +

    4093 state_data: np.ndarray 

    +

    4094 array with entire state data 

    +

    4095 var_index: int 

    +

    4096 variable index in the state data array 

    +

    4097 array_dict: dict 

    +

    4098 dictionary to store the loaded arrays in 

    +

    4099 

    +

    4100 Returns 

    +

    4101 ------- 

    +

    4102 var_index: int 

    +

    4103 updated variable index after reading the section 

    +

    4104 """ 

    +

    4105 

    +

    4106 if self.header.n_nodes <= 0: 

    +

    4107 return var_index 

    +

    4108 

    +

    4109 LOGGER.debug("_read_states_nodes start at var_index %d", var_index) 

    +

    4110 

    +

    4111 n_dim = self.header.n_dimensions 

    +

    4112 n_states = state_data.shape[0] 

    +

    4113 n_nodes = self.header.n_nodes 

    +

    4114 

    +

    4115 # displacement 

    +

    4116 if self.header.has_node_displacement: 

    +

    4117 try: 

    +

    4118 tmp_array = state_data[:, var_index : var_index + n_dim * n_nodes].reshape( 

    +

    4119 (n_states, n_nodes, n_dim) 

    +

    4120 ) 

    +

    4121 array_dict[ArrayType.node_displacement] = tmp_array 

    +

    4122 except Exception: 

    +

    4123 trb_msg = traceback.format_exc() 

    +

    4124 msg = "A failure in %s was caught:\n%s" 

    +

    4125 LOGGER.warning(msg, "_read_states_nodes, node_displacement", trb_msg) 

    +

    4126 finally: 

    +

    4127 var_index += n_dim * n_nodes 

    +

    4128 

    +

    4129 # temperatures 

    +

    4130 if self.header.has_node_temperatures: 

    +

    4131 

    +

    4132 # only node temperatures 

    +

    4133 if not self.header.has_node_temperature_layers: 

    +

    4134 try: 

    +

    4135 array_dict[ArrayType.node_temperature] = state_data[ 

    +

    4136 :, var_index : var_index + n_nodes 

    +

    4137 ] 

    +

    4138 except Exception: 

    +

    4139 trb_msg = traceback.format_exc() 

    +

    4140 msg = "A failure in %s was caught:\n%s" 

    +

    4141 LOGGER.warning(msg, "_read_states_nodes, node_temperatures", trb_msg) 

    +

    4142 finally: 

    +

    4143 var_index += n_nodes 

    +

    4144 # node temperature layers 

    +

    4145 else: 

    +

    4146 try: 

    +

    4147 tmp_array = state_data[:, var_index : var_index + 3 * n_nodes].reshape( 

    +

    4148 (n_states, n_nodes, 3) 

    +

    4149 ) 

    +

    4150 array_dict[ArrayType.node_temperature] = tmp_array 

    +

    4151 except Exception: 

    +

    4152 trb_msg = traceback.format_exc() 

    +

    4153 msg = "A failure in %s was caught:\n%s" 

    +

    4154 LOGGER.warning(msg, "_read_states_nodes, node_temperatures_layers", trb_msg) 

    +

    4155 finally: 

    +

    4156 var_index += 3 * n_nodes 

    +

    4157 

    +

    4158 # node heat flux 

    +

    4159 if self.header.has_node_heat_flux: 

    +

    4160 try: 

    +

    4161 tmp_array = state_data[:, var_index : var_index + 3 * n_nodes].reshape( 

    +

    4162 (n_states, n_nodes, 3) 

    +

    4163 ) 

    +

    4164 array_dict[ArrayType.node_heat_flux] = tmp_array 

    +

    4165 except Exception: 

    +

    4166 trb_msg = traceback.format_exc() 

    +

    4167 msg = "A failure in %s was caught:\n%s" 

    +

    4168 LOGGER.warning(msg, "_read_states_nodes, node_heat_flux", trb_msg) 

    +

    4169 finally: 

    +

    4170 var_index += 3 * n_nodes 

    +

    4171 

    +

    4172 # mass scaling 

    +

    4173 if self.header.has_node_mass_scaling: 

    +

    4174 try: 

    +

    4175 array_dict[ArrayType.node_mass_scaling] = state_data[ 

    +

    4176 :, var_index : var_index + n_nodes 

    +

    4177 ] 

    +

    4178 except Exception: 

    +

    4179 trb_msg = traceback.format_exc() 

    +

    4180 msg = "A failure in %s was caught:\n%s" 

    +

    4181 LOGGER.warning(msg, "_read_states_nodes, node_mass_scaling", trb_msg) 

    +

    4182 finally: 

    +

    4183 var_index += n_nodes 

    +

    4184 

    +

    4185 # node temperature gradient 

    +

    4186 # Unclear: verify (could also be between temperature and node heat flux) 

    +

    4187 if self.header.has_node_temperature_gradient: 

    +

    4188 try: 

    +

    4189 array_dict[ArrayType.node_temperature_gradient] = state_data[ 

    +

    4190 :, var_index : var_index + n_nodes 

    +

    4191 ] 

    +

    4192 except Exception: 

    +

    4193 trb_msg = traceback.format_exc() 

    +

    4194 msg = "A failure in %s was caught:\n%s" 

    +

    4195 LOGGER.warning(msg, "_read_states_nodes, node_temperature_gradient", trb_msg) 

    +

    4196 finally: 

    +

    4197 var_index += n_nodes 

    +

    4198 

    +

    4199 # node residual forces and moments 

    +

    4200 # Unclear: verify (see before, according to docs this is after previous) 

    +

    4201 if self.header.has_node_residual_forces: 

    +

    4202 try: 

    +

    4203 array_dict[ArrayType.node_residual_forces] = state_data[ 

    +

    4204 :, var_index : var_index + 3 * n_nodes 

    +

    4205 ].reshape((n_states, n_nodes, 3)) 

    +

    4206 except Exception: 

    +

    4207 trb_msg = traceback.format_exc() 

    +

    4208 msg = "A failure in %s was caught:\n%s" 

    +

    4209 LOGGER.warning(msg, "_read_states_nodes, node_residual_forces", trb_msg) 

    +

    4210 finally: 

    +

    4211 var_index += n_nodes * 3 

    +

    4212 

    +

    4213 if self.header.has_node_residual_moments: 

    +

    4214 try: 

    +

    4215 array_dict[ArrayType.node_residual_moments] = state_data[ 

    +

    4216 :, var_index : var_index + 3 * n_nodes 

    +

    4217 ].reshape((n_states, n_nodes, 3)) 

    +

    4218 except Exception: 

    +

    4219 trb_msg = traceback.format_exc() 

    +

    4220 msg = "A failure in %s was caught:\n%s" 

    +

    4221 LOGGER.warning(msg, "_read_states_nodes, node_residual_moments", trb_msg) 

    +

    4222 finally: 

    +

    4223 var_index += n_nodes * 3 

    +

    4224 

    +

    4225 # velocity 

    +

    4226 if self.header.has_node_velocity: 

    +

    4227 try: 

    +

    4228 tmp_array = state_data[:, var_index : var_index + n_dim * n_nodes].reshape( 

    +

    4229 (n_states, n_nodes, n_dim) 

    +

    4230 ) 

    +

    4231 array_dict[ArrayType.node_velocity] = tmp_array 

    +

    4232 except Exception: 

    +

    4233 trb_msg = traceback.format_exc() 

    +

    4234 msg = "A failure in %s was caught:\n%s" 

    +

    4235 LOGGER.warning(msg, "_read_states_nodes, node_velocity", trb_msg) 

    +

    4236 finally: 

    +

    4237 var_index += n_dim * n_nodes 

    +

    4238 

    +

    4239 # acceleration 

    +

    4240 if self.header.has_node_acceleration: 

    +

    4241 try: 

    +

    4242 tmp_array = state_data[:, var_index : var_index + n_dim * n_nodes].reshape( 

    +

    4243 (n_states, n_nodes, n_dim) 

    +

    4244 ) 

    +

    4245 array_dict[ArrayType.node_acceleration] = tmp_array 

    +

    4246 except Exception: 

    +

    4247 trb_msg = traceback.format_exc() 

    +

    4248 msg = "A failure in %s was caught:\n%s" 

    +

    4249 LOGGER.warning(msg, "_read_states_nodes, node_acceleration", trb_msg) 

    +

    4250 finally: 

    +

    4251 var_index += n_dim * n_nodes 

    +

    4252 

    +

    4253 LOGGER.debug("_read_states_nodes end at var_index %d", var_index) 

    +

    4254 

    +

    4255 return var_index 

    +

    4256 

    +

    4257 def _read_states_solids_thermal( 

    +

    4258 self, state_data: np.ndarray, var_index: int, array_dict: dict 

    +

    4259 ) -> int: 

    +

    4260 """Read the thermal data for solids 

    +

    4261 

    +

    4262 Parameters 

    +

    4263 ---------- 

    +

    4264 state_data: np.ndarray 

    +

    4265 array with entire state data 

    +

    4266 var_index: int 

    +

    4267 variable index in the state data array 

    +

    4268 array_dict: dict 

    +

    4269 dictionary to store the loaded arrays in 

    +

    4270 

    +

    4271 Returns 

    +

    4272 ------- 

    +

    4273 var_index: int 

    +

    4274 updated variable index after reading the section 

    +

    4275 """ 

    +

    4276 

    +

    4277 if self.header.n_solid_thermal_vars <= 0: 

    +

    4278 return var_index 

    +

    4279 

    +

    4280 LOGGER.debug("_read_states_solids_thermal start at var_index %d", var_index) 

    +

    4281 

    +

    4282 n_states = state_data.shape[0] 

    +

    4283 n_solids = self.header.n_solids 

    +

    4284 n_thermal_vars = self.header.n_solid_thermal_vars 

    +

    4285 

    +

    4286 try: 

    +

    4287 tmp_array = state_data[:, var_index : var_index + n_solids * n_thermal_vars] 

    +

    4288 array_dict[ArrayType.element_solid_thermal_data] = tmp_array.reshape( 

    +

    4289 (n_states, n_solids, n_thermal_vars) 

    +

    4290 ) 

    +

    4291 except Exception: 

    +

    4292 trb_msg = traceback.format_exc() 

    +

    4293 msg = "A failure in %s was caught:\n%s" 

    +

    4294 LOGGER.warning(msg, "_read_states_solids_thermal", trb_msg) 

    +

    4295 finally: 

    +

    4296 var_index += n_thermal_vars * n_solids 

    +

    4297 

    +

    4298 LOGGER.debug("_read_states_solids_thermal end at var_index %d", var_index) 

    +

    4299 

    +

    4300 return var_index 

    +

    4301 

    +

    4302 def _read_states_solids(self, state_data: np.ndarray, var_index: int, array_dict: dict) -> int: 

    +

    4303 """Read the state data of the solid elements 

    +

    4304 

    +

    4305 Parameters 

    +

    4306 ---------- 

    +

    4307 state_data: np.ndarray 

    +

    4308 array with entire state data 

    +

    4309 var_index: int 

    +

    4310 variable index in the state data array 

    +

    4311 array_dict: dict 

    +

    4312 dictionary to store the loaded arrays in 

    +

    4313 

    +

    4314 Returns 

    +

    4315 ------- 

    +

    4316 var_index: int 

    +

    4317 updated variable index after reading the section 

    +

    4318 """ 

    +

    4319 

    +

    4320 if self.header.n_solids <= 0 or self.header.n_solid_vars <= 0: 

    +

    4321 return var_index 

    +

    4322 

    +

    4323 LOGGER.debug("_read_states_solids start at var_index %d", var_index) 

    +

    4324 

    +

    4325 n_solid_vars = self.header.n_solid_vars 

    +

    4326 n_solids = self.header.n_solids 

    +

    4327 n_states = state_data.shape[0] 

    +

    4328 n_strain_vars = 6 * self.header.has_element_strain 

    +

    4329 n_history_vars = self.header.n_solid_history_vars 

    +

    4330 n_solid_layers = self.header.n_solid_layers 

    +

    4331 

    +

    4332 # double safety here, if either the formatting of the solid state data 

    +

    4333 # or individual arrays fails then we catch it 

    +

    4334 try: 

    +

    4335 # this is a sanity check if the manual was understood correctly 

    +

    4336 # 

    +

    4337 # NOTE due to plotcompress we disable this check, it can delete 

    +

    4338 # variables so that stress or pstrain might be missing despite 

    +

    4339 # being always present in the file spec 

    +

    4340 # 

    +

    4341 # n_solid_vars2 = (7 + 

    +

    4342 # n_history_vars) 

    +

    4343 

    +

    4344 # if n_solid_vars2 != n_solid_vars: 

    +

    4345 # msg = "n_solid_vars != n_solid_vars_computed: {} != {}."\ 

    +

    4346 # + " Solid variables might be wrong." 

    +

    4347 # LOGGER.warning(msg.format(n_solid_vars, n_solid_vars2)) 

    +

    4348 

    +

    4349 solid_state_data = state_data[ 

    +

    4350 :, var_index : var_index + n_solid_vars * n_solids 

    +

    4351 ].reshape((n_states, n_solids, n_solid_layers, n_solid_vars // n_solid_layers)) 

    +

    4352 

    +

    4353 i_solid_var = 0 

    +

    4354 

    +

    4355 # stress 

    +

    4356 try: 

    +

    4357 if self.header.has_solid_stress: 

    +

    4358 array_dict[ArrayType.element_solid_stress] = solid_state_data[:, :, :, :6] 

    +

    4359 except Exception: 

    +

    4360 trb_msg = traceback.format_exc() 

    +

    4361 msg = "A failure in %s was caught:\n%s" 

    +

    4362 LOGGER.warning(msg, "_read_states_solids, stress", trb_msg) 

    +

    4363 finally: 

    +

    4364 i_solid_var += 6 * self.header.has_solid_stress 

    +

    4365 

    +

    4366 # effective plastic strain 

    +

    4367 try: 

    +

    4368 # in case plotcompress deleted stresses but pstrain exists 

    +

    4369 if self.header.has_solid_pstrain: 

    +

    4370 array_dict[ArrayType.element_solid_effective_plastic_strain] = solid_state_data[ 

    +

    4371 :, :, :, i_solid_var 

    +

    4372 ].reshape((n_states, n_solids, n_solid_layers)) 

    +

    4373 except Exception: 

    +

    4374 trb_msg = traceback.format_exc() 

    +

    4375 msg = "A failure in %s was caught:\n%s" 

    +

    4376 LOGGER.warning(msg, "_read_states_solids, eff_plastic_strain", trb_msg) 

    +

    4377 finally: 

    +

    4378 i_solid_var += 1 * self.header.has_solid_pstrain 

    +

    4379 

    +

    4380 # history vars 

    +

    4381 if n_history_vars: 

    +

    4382 try: 

    +

    4383 array_dict[ArrayType.element_solid_history_variables] = solid_state_data[ 

    +

    4384 :, :, :, i_solid_var : i_solid_var + n_history_vars 

    +

    4385 ] 

    +

    4386 except Exception: 

    +

    4387 trb_msg = traceback.format_exc() 

    +

    4388 msg = "A failure in %s was caught:\n%s" 

    +

    4389 LOGGER.warning(msg, "_read_states_solids, history_variables", trb_msg) 

    +

    4390 finally: 

    +

    4391 i_solid_var += n_history_vars 

    +

    4392 

    +

    4393 # strain 

    +

    4394 # they are the last 6 entries of the history vars 

    +

    4395 if n_strain_vars: 

    +

    4396 try: 

    +

    4397 array_dict[ArrayType.element_solid_strain] = array_dict[ 

    +

    4398 ArrayType.element_solid_history_variables 

    +

    4399 ][:, :, :, -n_strain_vars:] 

    +

    4400 

    +

    4401 array_dict[ArrayType.element_solid_history_variables] = array_dict[ 

    +

    4402 ArrayType.element_solid_history_variables 

    +

    4403 ][:, :, :, :-n_strain_vars] 

    +

    4404 

    +

    4405 if not all(array_dict[ArrayType.element_solid_history_variables].shape): 

    +

    4406 del array_dict[ArrayType.element_solid_history_variables] 

    +

    4407 except Exception: 

    +

    4408 trb_msg = traceback.format_exc() 

    +

    4409 msg = "A failure in %s was caught:\n%s" 

    +

    4410 LOGGER.warning(msg, "_read_states_solids, strain", trb_msg) 

    +

    4411 

    +

    4412 # plastic strain tensor 

    +

    4413 if self.header.has_solid_shell_plastic_strain_tensor: 

    +

    4414 try: 

    +

    4415 array_dict[ArrayType.element_solid_plastic_strain_tensor] = solid_state_data[ 

    +

    4416 :, :, :, i_solid_var : i_solid_var + 6 

    +

    4417 ] 

    +

    4418 except Exception: 

    +

    4419 trb_msg = traceback.format_exc() 

    +

    4420 msg = "A failure in %s was caught:\n%s" 

    +

    4421 LOGGER.warning( 

    +

    4422 msg, "_read_states_solids, element_solid_plastic_strain_tensor", trb_msg 

    +

    4423 ) 

    +

    4424 finally: 

    +

    4425 i_solid_var += 6 

    +

    4426 

    +

    4427 # thermal strain tensor 

    +

    4428 if self.header.has_solid_shell_thermal_strain_tensor: 

    +

    4429 try: 

    +

    4430 array_dict[ArrayType.element_solid_thermal_strain_tensor] = solid_state_data[ 

    +

    4431 :, :, i_solid_var : i_solid_var + 6 

    +

    4432 ] 

    +

    4433 except Exception: 

    +

    4434 trb_msg = traceback.format_exc() 

    +

    4435 msg = "A failure in %s was caught:\n%s" 

    +

    4436 LOGGER.warning( 

    +

    4437 msg, "_read_states_solids, element_solid_thermal_strain_tensor", trb_msg 

    +

    4438 ) 

    +

    4439 finally: 

    +

    4440 i_solid_var += 6 

    +

    4441 

    +

    4442 # catch formatting in solid_state_datra 

    +

    4443 except Exception: 

    +

    4444 trb_msg = traceback.format_exc() 

    +

    4445 msg = "A failure in %s was caught:\n%s" 

    +

    4446 LOGGER.warning(msg, "_read_states_solids, solid_state_data", trb_msg) 

    +

    4447 # always increment variable count 

    +

    4448 finally: 

    +

    4449 var_index += n_solids * n_solid_vars 

    +

    4450 

    +

    4451 LOGGER.debug("_read_states_solids end at var_index %d", var_index) 

    +

    4452 

    +

    4453 return var_index 

    +

    4454 

    +

    4455 def _read_states_tshell(self, state_data: np.ndarray, var_index: int, array_dict: dict) -> int: 

    +

    4456 """Read the state data for thick shell elements 

    +

    4457 

    +

    4458 Parameters 

    +

    4459 ---------- 

    +

    4460 state_data: np.ndarray 

    +

    4461 array with entire state data 

    +

    4462 var_index: int 

    +

    4463 variable index in the state data array 

    +

    4464 array_dict: dict 

    +

    4465 dictionary to store the loaded arrays in 

    +

    4466 

    +

    4467 Returns 

    +

    4468 ------- 

    +

    4469 var_index: int 

    +

    4470 updated variable index after reading the section 

    +

    4471 """ 

    +

    4472 

    +

    4473 if self.header.n_thick_shells <= 0 or self.header.n_thick_shell_vars <= 0: 

    +

    4474 return var_index 

    +

    4475 

    +

    4476 LOGGER.debug("_read_states_tshell start at var_index %d", var_index) 

    +

    4477 

    +

    4478 n_states = state_data.shape[0] 

    +

    4479 n_tshells = self.header.n_thick_shells 

    +

    4480 n_history_vars = self.header.n_shell_tshell_history_vars 

    +

    4481 n_layers = self.header.n_shell_tshell_layers 

    +

    4482 n_layer_vars = n_layers * ( 

    +

    4483 6 * self.header.has_shell_tshell_stress 

    +

    4484 + self.header.has_shell_tshell_pstrain 

    +

    4485 + n_history_vars 

    +

    4486 ) 

    +

    4487 n_strain_vars = 12 * self.header.has_element_strain 

    +

    4488 n_thsell_vars = self.header.n_thick_shell_vars 

    +

    4489 has_stress = self.header.has_shell_tshell_stress 

    +

    4490 has_pstrain = self.header.has_shell_tshell_pstrain 

    +

    4491 

    +

    4492 try: 

    +

    4493 # this is a sanity check if the manual was understood correctly 

    +

    4494 n_tshell_vars2 = n_layer_vars + n_strain_vars 

    +

    4495 

    +

    4496 if n_tshell_vars2 != n_thsell_vars: 

    +

    4497 msg = ( 

    +

    4498 "n_tshell_vars != n_tshell_vars_computed: %d != %d." 

    +

    4499 " Thick shell variables might be wrong." 

    +

    4500 ) 

    +

    4501 LOGGER.warning(msg, n_thsell_vars, n_tshell_vars2) 

    +

    4502 

    +

    4503 # thick shell element data 

    +

    4504 tshell_data = state_data[:, var_index : var_index + n_thsell_vars * n_tshells] 

    +

    4505 tshell_data = tshell_data.reshape((n_states, n_tshells, n_thsell_vars)) 

    +

    4506 

    +

    4507 # extract layer data 

    +

    4508 tshell_layer_data = tshell_data[:, :, slice(0, n_layer_vars)] 

    +

    4509 tshell_layer_data = tshell_layer_data.reshape((n_states, n_tshells, n_layers, -1)) 

    +

    4510 tshell_nonlayer_data = tshell_data[:, :, n_layer_vars:] 

    +

    4511 

    +

    4512 # STRESS 

    +

    4513 i_tshell_layer_var = 0 

    +

    4514 if has_stress: 

    +

    4515 try: 

    +

    4516 array_dict[ArrayType.element_tshell_stress] = tshell_layer_data[ 

    +

    4517 :, :, :, i_tshell_layer_var : i_tshell_layer_var + 6 

    +

    4518 ].reshape((n_states, n_tshells, n_layers, 6)) 

    +

    4519 except Exception: 

    +

    4520 trb_msg = traceback.format_exc() 

    +

    4521 msg = "A failure in %d was caught:\n%s" 

    +

    4522 LOGGER.warning(msg, "_read_states_tshell, stress", trb_msg) 

    +

    4523 finally: 

    +

    4524 i_tshell_layer_var += 6 

    +

    4525 

    +

    4526 # PSTRAIN 

    +

    4527 if has_pstrain: 

    +

    4528 try: 

    +

    4529 array_dict[ 

    +

    4530 ArrayType.element_tshell_effective_plastic_strain 

    +

    4531 ] = tshell_layer_data[:, :, :, i_tshell_layer_var].reshape( 

    +

    4532 (n_states, n_tshells, n_layers) 

    +

    4533 ) 

    +

    4534 except Exception: 

    +

    4535 trb_msg = traceback.format_exc() 

    +

    4536 msg = "A failure in %s was caught:\n%s" 

    +

    4537 LOGGER.warning(msg, "_read_states_tshell, eff_plastic_strain", trb_msg) 

    +

    4538 finally: 

    +

    4539 i_tshell_layer_var += 1 

    +

    4540 

    +

    4541 # HISTORY VARS 

    +

    4542 if n_history_vars: 

    +

    4543 try: 

    +

    4544 array_dict[ArrayType.element_tshell_history_variables] = tshell_layer_data[ 

    +

    4545 :, :, :, i_tshell_layer_var : i_tshell_layer_var + n_history_vars 

    +

    4546 ].reshape((n_states, n_tshells, n_layers, n_history_vars)) 

    +

    4547 except Exception: 

    +

    4548 trb_msg = traceback.format_exc() 

    +

    4549 msg = "A failure in %s was caught:\n%s" 

    +

    4550 LOGGER.warning(msg, "_read_states_tshell, history_variables", trb_msg) 

    +

    4551 

    +

    4552 # STRAIN (only non layer data for tshells) 

    +

    4553 if n_strain_vars: 

    +

    4554 try: 

    +

    4555 tshell_nonlayer_data = tshell_nonlayer_data[:, :, :n_strain_vars] 

    +

    4556 array_dict[ArrayType.element_tshell_strain] = tshell_nonlayer_data.reshape( 

    +

    4557 (n_states, n_tshells, 2, 6) 

    +

    4558 ) 

    +

    4559 except Exception: 

    +

    4560 trb_msg = traceback.format_exc() 

    +

    4561 msg = "A failure in %s was caught:\n%s" 

    +

    4562 LOGGER.warning(msg, "_read_states_tshell, strain", trb_msg) 

    +

    4563 

    +

    4564 except Exception: 

    +

    4565 trb_msg = traceback.format_exc() 

    +

    4566 msg = "A failure in %s was caught:\n%s" 

    +

    4567 LOGGER.warning(msg, "_read_states_tshell, tshell_data", trb_msg) 

    +

    4568 finally: 

    +

    4569 var_index += n_thsell_vars * n_tshells 

    +

    4570 

    +

    4571 LOGGER.debug("_read_states_tshell end at var_index %d", var_index) 

    +

    4572 

    +

    4573 return var_index 

    +

    4574 

    +

    4575 def _read_states_beams(self, state_data: np.ndarray, var_index: int, array_dict: dict) -> int: 

    +

    4576 """Read the state data for beams 

    +

    4577 

    +

    4578 Parameters 

    +

    4579 ---------- 

    +

    4580 state_data: np.ndarray 

    +

    4581 array with entire state data 

    +

    4582 var_index: int 

    +

    4583 variable index in the state data array 

    +

    4584 array_dict: dict 

    +

    4585 dictionary to store the loaded arrays in 

    +

    4586 

    +

    4587 Returns 

    +

    4588 ------- 

    +

    4589 var_index: int 

    +

    4590 updated variable index after reading the section 

    +

    4591 """ 

    +

    4592 

    +

    4593 if self.header.n_beams <= 0 or self.header.n_beam_vars <= 0: 

    +

    4594 return var_index 

    +

    4595 

    +

    4596 LOGGER.debug("_read_states_beams start at var_index %d", var_index) 

    +

    4597 

    +

    4598 # usual beam vars 

    +

    4599 # pylint: disable = invalid-name 

    +

    4600 N_BEAM_BASIC_VARS = 6 

    +

    4601 # beam intergration point vars 

    +

    4602 # pylint: disable = invalid-name 

    +

    4603 N_BEAM_IP_VARS = 5 

    +

    4604 

    +

    4605 n_states = state_data.shape[0] 

    +

    4606 n_beams = self.header.n_beams 

    +

    4607 n_history_vars = self.header.n_beam_history_vars 

    +

    4608 n_beam_vars = self.header.n_beam_vars 

    +

    4609 n_layers = int( 

    +

    4610 (-3 * n_history_vars + n_beam_vars - N_BEAM_BASIC_VARS) 

    +

    4611 / (n_history_vars + N_BEAM_IP_VARS) 

    +

    4612 ) 

    +

    4613 # n_layer_vars = 6 + N_BEAM_IP_VARS * n_layers 

    +

    4614 n_layer_vars = N_BEAM_IP_VARS * n_layers 

    +

    4615 

    +

    4616 try: 

    +

    4617 # beam element data 

    +

    4618 beam_data = state_data[:, var_index : var_index + n_beam_vars * n_beams] 

    +

    4619 beam_data = beam_data.reshape((n_states, n_beams, n_beam_vars)) 

    +

    4620 

    +

    4621 # extract layer data 

    +

    4622 beam_nonlayer_data = beam_data[:, :, :N_BEAM_BASIC_VARS] 

    +

    4623 beam_layer_data = beam_data[:, :, N_BEAM_BASIC_VARS : N_BEAM_BASIC_VARS + n_layer_vars] 

    +

    4624 beam_layer_data = beam_layer_data.reshape((n_states, n_beams, n_layers, N_BEAM_IP_VARS)) 

    +

    4625 

    +

    4626 # axial force 

    +

    4627 try: 

    +

    4628 array_dict[ArrayType.element_beam_axial_force] = beam_nonlayer_data[ 

    +

    4629 :, :, 0 

    +

    4630 ].reshape((n_states, n_beams)) 

    +

    4631 except Exception: 

    +

    4632 trb_msg = traceback.format_exc() 

    +

    4633 msg = "A failure in %s was caught:\n%s" 

    +

    4634 LOGGER.warning(msg, "_read_states_beams, axial_force", trb_msg) 

    +

    4635 

    +

    4636 # shear force 

    +

    4637 try: 

    +

    4638 array_dict[ArrayType.element_beam_shear_force] = beam_nonlayer_data[ 

    +

    4639 :, :, 1:3 

    +

    4640 ].reshape((n_states, n_beams, 2)) 

    +

    4641 except Exception: 

    +

    4642 trb_msg = traceback.format_exc() 

    +

    4643 msg = "A failure in %s was caught:\n%s" 

    +

    4644 LOGGER.warning(msg, "_read_states_beams, shear_force", trb_msg) 

    +

    4645 

    +

    4646 # bending moment 

    +

    4647 try: 

    +

    4648 array_dict[ArrayType.element_beam_bending_moment] = beam_nonlayer_data[ 

    +

    4649 :, :, 3:5 

    +

    4650 ].reshape((n_states, n_beams, 2)) 

    +

    4651 except Exception: 

    +

    4652 trb_msg = traceback.format_exc() 

    +

    4653 msg = "A failure in %s was caught:\n%s" 

    +

    4654 LOGGER.warning(msg, "_read_states_beams, bending_moment", trb_msg) 

    +

    4655 

    +

    4656 # torsion moment 

    +

    4657 try: 

    +

    4658 array_dict[ArrayType.element_beam_torsion_moment] = beam_nonlayer_data[ 

    +

    4659 :, :, 5 

    +

    4660 ].reshape((n_states, n_beams)) 

    +

    4661 except Exception: 

    +

    4662 trb_msg = traceback.format_exc() 

    +

    4663 msg = "A failure in %s was caught:\n%s" 

    +

    4664 LOGGER.warning(msg, "_read_states_beams, torsion_moment", trb_msg) 

    +

    4665 

    +

    4666 if n_layers: 

    +

    4667 

    +

    4668 # BUGFIX? 

    +

    4669 # According to the database manual the first 

    +

    4670 # two layer vars are the shear stress and then 

    +

    4671 # axial stress. Tests with FEMZIP and META though 

    +

    4672 # suggests that axial stress comes first. 

    +

    4673 

    +

    4674 # axial stress 

    +

    4675 try: 

    +

    4676 array_dict[ArrayType.element_beam_axial_stress] = beam_layer_data[:, :, :, 0] 

    +

    4677 except Exception: 

    +

    4678 trb_msg = traceback.format_exc() 

    +

    4679 msg = "A failure in %s was caught:\n%s" 

    +

    4680 LOGGER.warning(msg, "_read_states_beams, axial_stress", trb_msg) 

    +

    4681 

    +

    4682 # shear stress 

    +

    4683 try: 

    +

    4684 array_dict[ArrayType.element_beam_shear_stress] = beam_layer_data[:, :, :, 1:3] 

    +

    4685 except Exception: 

    +

    4686 trb_msg = traceback.format_exc() 

    +

    4687 msg = "A failure in %s was caught:\n%s" 

    +

    4688 LOGGER.warning(msg, "_read_states_beams, shear_stress", trb_msg) 

    +

    4689 

    +

    4690 # eff. plastic strain 

    +

    4691 try: 

    +

    4692 array_dict[ArrayType.element_beam_plastic_strain] = beam_layer_data[:, :, :, 3] 

    +

    4693 except Exception: 

    +

    4694 trb_msg = traceback.format_exc() 

    +

    4695 msg = "A failure in %s was caught:\n%s" 

    +

    4696 LOGGER.warning(msg, "_read_states_beams, eff_plastic_strain", trb_msg) 

    +

    4697 

    +

    4698 # axial strain 

    +

    4699 try: 

    +

    4700 array_dict[ArrayType.element_beam_axial_strain] = beam_layer_data[:, :, :, 4] 

    +

    4701 except Exception: 

    +

    4702 trb_msg = traceback.format_exc() 

    +

    4703 msg = "A failure in %s was caught:\n%s" 

    +

    4704 LOGGER.warning(msg, "_read_states_beams, axial_strain", trb_msg) 

    +

    4705 

    +

    4706 # history vars 

    +

    4707 if n_history_vars: 

    +

    4708 try: 

    +

    4709 array_dict[ArrayType.element_beam_history_vars] = beam_data[ 

    +

    4710 :, :, 6 + n_layer_vars : 

    +

    4711 ].reshape((n_states, n_beams, 3 + n_layers, n_history_vars)) 

    +

    4712 except Exception: 

    +

    4713 trb_msg = traceback.format_exc() 

    +

    4714 msg = "A failure in %s was caught:\n%s" 

    +

    4715 LOGGER.warning(msg, "_read_states_beams, history_variables", trb_msg) 

    +

    4716 

    +

    4717 # failure of formatting beam state data 

    +

    4718 except Exception: 

    +

    4719 trb_msg = traceback.format_exc() 

    +

    4720 msg = "A failure in %s was caught:\n%s" 

    +

    4721 LOGGER.warning(msg, "_read_states_beams, beam_state_data", trb_msg) 

    +

    4722 # always increment variable index 

    +

    4723 finally: 

    +

    4724 var_index += n_beams * n_beam_vars 

    +

    4725 

    +

    4726 LOGGER.debug("_read_states_beams end at var_index %d", var_index) 

    +

    4727 

    +

    4728 return var_index 

    +

    4729 

    +

    4730 def _read_states_shell(self, state_data: np.ndarray, var_index: int, array_dict: dict) -> int: 

    +

    4731 """Read the state data for shell elements 

    +

    4732 

    +

    4733 Parameters 

    +

    4734 ---------- 

    +

    4735 state_data: np.ndarray 

    +

    4736 array with entire state data 

    +

    4737 var_index: int 

    +

    4738 variable index in the state data array 

    +

    4739 array_dict: dict 

    +

    4740 dictionary to store the loaded arrays in 

    +

    4741 

    +

    4742 Returns 

    +

    4743 ------- 

    +

    4744 var_index: int 

    +

    4745 updated variable index after reading the section 

    +

    4746 """ 

    +

    4747 

    +

    4748 # bugfix 

    +

    4749 # 

    +

    4750 # Interestingly, dyna seems to write result values for rigid shells in 

    +

    4751 # the d3part file, but not in the d3plot. Of course this is not 

    +

    4752 # documented ... 

    +

    4753 n_reduced_shells = ( 

    +

    4754 self.header.n_shells 

    +

    4755 if self.header.filetype == D3plotFiletype.D3PART 

    +

    4756 else self.header.n_shells - self._material_section_info.n_rigid_shells 

    +

    4757 ) 

    +

    4758 

    +

    4759 if self.header.n_shell_vars <= 0 or n_reduced_shells <= 0: 

    +

    4760 return var_index 

    +

    4761 

    +

    4762 LOGGER.debug("_read_states_shell start at var_index %d", var_index) 

    +

    4763 

    +

    4764 n_states = state_data.shape[0] 

    +

    4765 n_shells = n_reduced_shells 

    +

    4766 n_shell_vars = self.header.n_shell_vars 

    +

    4767 

    +

    4768 # what is in the file? 

    +

    4769 n_layers = self.header.n_shell_tshell_layers 

    +

    4770 n_history_vars = self.header.n_shell_tshell_history_vars 

    +

    4771 n_stress_vars = 6 * self.header.has_shell_tshell_stress 

    +

    4772 n_pstrain_vars = 1 * self.header.has_shell_tshell_pstrain 

    +

    4773 n_force_variables = 8 * self.header.has_shell_forces 

    +

    4774 n_extra_variables = 4 * self.header.has_shell_extra_variables 

    +

    4775 n_strain_vars = 12 * self.header.has_element_strain 

    +

    4776 n_plastic_strain_tensor = 6 * n_layers * self.header.has_solid_shell_plastic_strain_tensor 

    +

    4777 n_thermal_strain_tensor = 6 * self.header.has_solid_shell_thermal_strain_tensor 

    +

    4778 

    +

    4779 try: 

    +

    4780 # this is a sanity check if the manual was understood correctly 

    +

    4781 n_shell_vars2 = ( 

    +

    4782 n_layers * (n_stress_vars + n_pstrain_vars + n_history_vars) 

    +

    4783 + n_force_variables 

    +

    4784 + n_extra_variables 

    +

    4785 + n_strain_vars 

    +

    4786 + n_plastic_strain_tensor 

    +

    4787 + n_thermal_strain_tensor 

    +

    4788 ) 

    +

    4789 

    +

    4790 if n_shell_vars != n_shell_vars2: 

    +

    4791 msg = ( 

    +

    4792 "n_shell_vars != n_shell_vars_computed: %d != %d." 

    +

    4793 " Shell variables might be wrong." 

    +

    4794 ) 

    +

    4795 LOGGER.warning(msg, n_shell_vars, n_shell_vars2) 

    +

    4796 

    +

    4797 n_layer_vars = n_layers * (n_stress_vars + n_pstrain_vars + n_history_vars) 

    +

    4798 

    +

    4799 # shell element data 

    +

    4800 shell_data = state_data[:, var_index : var_index + n_shell_vars * n_shells] 

    +

    4801 shell_data = shell_data.reshape((n_states, n_shells, n_shell_vars)) 

    +

    4802 

    +

    4803 # extract layer data 

    +

    4804 shell_layer_data = shell_data[:, :, :n_layer_vars] 

    +

    4805 shell_layer_data = shell_layer_data.reshape((n_states, n_shells, n_layers, -1)) 

    +

    4806 shell_nonlayer_data = shell_data[:, :, n_layer_vars:] 

    +

    4807 

    +

    4808 # save layer stuff 

    +

    4809 # STRESS 

    +

    4810 layer_var_index = 0 

    +

    4811 if n_stress_vars: 

    +

    4812 try: 

    +

    4813 array_dict[ArrayType.element_shell_stress] = shell_layer_data[ 

    +

    4814 :, :, :, :n_stress_vars 

    +

    4815 ].reshape((n_states, n_shells, n_layers, n_stress_vars)) 

    +

    4816 except Exception: 

    +

    4817 trb_msg = traceback.format_exc() 

    +

    4818 msg = "A failure in %s was caught:\n%s" 

    +

    4819 LOGGER.warning(msg, "_read_states_shells, stress", trb_msg) 

    +

    4820 finally: 

    +

    4821 layer_var_index += n_stress_vars 

    +

    4822 

    +

    4823 # PSTRAIN 

    +

    4824 if n_pstrain_vars: 

    +

    4825 try: 

    +

    4826 array_dict[ArrayType.element_shell_effective_plastic_strain] = shell_layer_data[ 

    +

    4827 :, :, :, layer_var_index 

    +

    4828 ].reshape((n_states, n_shells, n_layers)) 

    +

    4829 except Exception: 

    +

    4830 trb_msg = traceback.format_exc() 

    +

    4831 msg = "A failure in %s was caught:\n%s" 

    +

    4832 LOGGER.warning(msg, "_read_states_shells, stress", trb_msg) 

    +

    4833 finally: 

    +

    4834 layer_var_index += 1 

    +

    4835 

    +

    4836 # HISTORY VARIABLES 

    +

    4837 if n_history_vars: 

    +

    4838 try: 

    +

    4839 array_dict[ArrayType.element_shell_history_vars] = shell_layer_data[ 

    +

    4840 :, :, :, layer_var_index : layer_var_index + n_history_vars 

    +

    4841 ].reshape((n_states, n_shells, n_layers, n_history_vars)) 

    +

    4842 except Exception: 

    +

    4843 trb_msg = traceback.format_exc() 

    +

    4844 msg = "A failure in %s was caught:\n%s" 

    +

    4845 LOGGER.warning(msg, "_read_states_shells, history_variables", trb_msg) 

    +

    4846 finally: 

    +

    4847 layer_var_index += n_history_vars 

    +

    4848 

    +

    4849 # save nonlayer stuff 

    +

    4850 # forces 

    +

    4851 nonlayer_var_index = 0 

    +

    4852 if n_force_variables: 

    +

    4853 try: 

    +

    4854 array_dict[ArrayType.element_shell_bending_moment] = shell_nonlayer_data[ 

    +

    4855 :, :, 0:3 

    +

    4856 ].reshape((n_states, n_shells, 3)) 

    +

    4857 array_dict[ArrayType.element_shell_shear_force] = shell_nonlayer_data[ 

    +

    4858 :, :, 3:5 

    +

    4859 ].reshape((n_states, n_shells, 2)) 

    +

    4860 array_dict[ArrayType.element_shell_normal_force] = shell_nonlayer_data[ 

    +

    4861 :, :, 5:8 

    +

    4862 ].reshape((n_states, n_shells, 3)) 

    +

    4863 except Exception: 

    +

    4864 trb_msg = traceback.format_exc() 

    +

    4865 msg = "A failure in %s was caught:\n%s" 

    +

    4866 LOGGER.warning(msg, "_read_states_shells, forces", trb_msg) 

    +

    4867 finally: 

    +

    4868 nonlayer_var_index += n_force_variables 

    +

    4869 

    +

    4870 # weird stuff 

    +

    4871 if n_extra_variables: 

    +

    4872 try: 

    +

    4873 array_dict[ArrayType.element_shell_thickness] = shell_nonlayer_data[ 

    +

    4874 :, :, nonlayer_var_index 

    +

    4875 ].reshape((n_states, n_shells)) 

    +

    4876 array_dict[ArrayType.element_shell_unknown_variables] = shell_nonlayer_data[ 

    +

    4877 :, :, nonlayer_var_index + 1 : nonlayer_var_index + 3 

    +

    4878 ].reshape((n_states, n_shells, 2)) 

    +

    4879 except Exception: 

    +

    4880 trb_msg = traceback.format_exc() 

    +

    4881 msg = "A failure in %s was caught:\n%s" 

    +

    4882 LOGGER.warning(msg, "_read_states_shells, history_variables", trb_msg) 

    +

    4883 finally: 

    +

    4884 nonlayer_var_index += 3 

    +

    4885 

    +

    4886 # strain present 

    +

    4887 if n_strain_vars: 

    +

    4888 try: 

    +

    4889 shell_strain = shell_nonlayer_data[ 

    +

    4890 :, :, nonlayer_var_index : nonlayer_var_index + n_strain_vars 

    +

    4891 ] 

    +

    4892 array_dict[ArrayType.element_shell_strain] = shell_strain.reshape( 

    +

    4893 (n_states, n_shells, 2, 6) 

    +

    4894 ) 

    +

    4895 except Exception: 

    +

    4896 trb_msg = traceback.format_exc() 

    +

    4897 msg = "A failure in %s was caught:\n%s" 

    +

    4898 LOGGER.warning(msg, "_read_states_shells, strain", trb_msg) 

    +

    4899 finally: 

    +

    4900 nonlayer_var_index += n_strain_vars 

    +

    4901 

    +

    4902 # internal energy is behind strain if strain is written 

    +

    4903 if self.header.has_shell_extra_variables: 

    +

    4904 try: 

    +

    4905 array_dict[ArrayType.element_shell_internal_energy] = shell_nonlayer_data[ 

    +

    4906 :, :, nonlayer_var_index 

    +

    4907 ].reshape((n_states, n_shells)) 

    +

    4908 except Exception: 

    +

    4909 trb_msg = traceback.format_exc() 

    +

    4910 msg = "A failure in %s was caught:\n%s" 

    +

    4911 LOGGER.warning(msg, "_read_states_shells, internal_energy", trb_msg) 

    +

    4912 

    +

    4913 # PLASTIC STRAIN TENSOR 

    +

    4914 if n_plastic_strain_tensor: 

    +

    4915 try: 

    +

    4916 pstrain_tensor = shell_nonlayer_data[ 

    +

    4917 :, :, nonlayer_var_index : nonlayer_var_index + n_plastic_strain_tensor 

    +

    4918 ] 

    +

    4919 array_dict[ 

    +

    4920 ArrayType.element_shell_plastic_strain_tensor 

    +

    4921 ] = pstrain_tensor.reshape((n_states, n_shells, n_layers, 6)) 

    +

    4922 except Exception: 

    +

    4923 trb_msg = traceback.format_exc() 

    +

    4924 msg = "A failure in %s was caught:\n%s" 

    +

    4925 LOGGER.warning( 

    +

    4926 msg, "_read_states_shells, element_shell_plastic_strain_tensor", trb_msg 

    +

    4927 ) 

    +

    4928 finally: 

    +

    4929 nonlayer_var_index += n_plastic_strain_tensor 

    +

    4930 

    +

    4931 # THERMAL STRAIN TENSOR 

    +

    4932 if n_thermal_strain_tensor: 

    +

    4933 try: 

    +

    4934 thermal_tensor = shell_nonlayer_data[ 

    +

    4935 :, :, nonlayer_var_index : nonlayer_var_index + n_thermal_strain_tensor 

    +

    4936 ] 

    +

    4937 array_dict[ 

    +

    4938 ArrayType.element_shell_thermal_strain_tensor 

    +

    4939 ] = thermal_tensor.reshape((n_states, n_shells, 6)) 

    +

    4940 except Exception: 

    +

    4941 trb_msg = traceback.format_exc() 

    +

    4942 msg = "A failure in %s was caught:\n%s" 

    +

    4943 LOGGER.warning( 

    +

    4944 msg, "_read_states_shells, element_shell_thermal_strain_tensor", trb_msg 

    +

    4945 ) 

    +

    4946 finally: 

    +

    4947 nonlayer_var_index += n_thermal_strain_tensor 

    +

    4948 

    +

    4949 # error in formatting shell state data 

    +

    4950 except Exception: 

    +

    4951 trb_msg = traceback.format_exc() 

    +

    4952 msg = "A failure in %s was caught:\n%s" 

    +

    4953 LOGGER.warning(msg, "_read_states_shell, shell_state_data", trb_msg) 

    +

    4954 

    +

    4955 # always increment variable index 

    +

    4956 finally: 

    +

    4957 var_index += n_shell_vars * n_shells 

    +

    4958 

    +

    4959 LOGGER.debug("_read_states_shell end at var_index %d", var_index) 

    +

    4960 

    +

    4961 return var_index 

    +

    4962 

    +

    4963 def _read_states_is_alive( 

    +

    4964 self, state_data: np.ndarray, var_index: int, array_dict: dict 

    +

    4965 ) -> int: 

    +

    4966 """Read deletion info for nodes, elements, etc 

    +

    4967 

    +

    4968 Parameters 

    +

    4969 ---------- 

    +

    4970 state_data: np.ndarray 

    +

    4971 array with entire state data 

    +

    4972 var_index: int 

    +

    4973 variable index in the state data array 

    +

    4974 array_dict: dict 

    +

    4975 dictionary to store the loaded arrays in 

    +

    4976 

    +

    4977 Returns 

    +

    4978 ------- 

    +

    4979 var_index: int 

    +

    4980 updated variable index after reading the section 

    +

    4981 """ 

    +

    4982 

    +

    4983 if not self.header.has_node_deletion_data and not self.header.has_element_deletion_data: 

    +

    4984 return var_index 

    +

    4985 

    +

    4986 LOGGER.debug("_read_states_is_alive start at var_index %s", var_index) 

    +

    4987 

    +

    4988 n_states = state_data.shape[0] 

    +

    4989 

    +

    4990 # NODES 

    +

    4991 if self.header.has_node_deletion_data: 

    +

    4992 n_nodes = self.header.n_nodes 

    +

    4993 

    +

    4994 if n_nodes > 0: 

    +

    4995 try: 

    +

    4996 array_dict[ArrayType.node_is_alive] = state_data[ 

    +

    4997 :, var_index : var_index + n_nodes 

    +

    4998 ] 

    +

    4999 except Exception: 

    +

    5000 trb_msg = traceback.format_exc() 

    +

    5001 msg = "A failure in %s was caught:\n%s" 

    +

    5002 LOGGER.warning(msg, "_read_states_is_alive, nodes", trb_msg) 

    +

    5003 finally: 

    +

    5004 var_index += n_nodes 

    +

    5005 

    +

    5006 # element deletion info 

    +

    5007 elif self.header.has_element_deletion_data: 

    +

    5008 n_solids = self.header.n_solids 

    +

    5009 n_tshells = self.header.n_thick_shells 

    +

    5010 n_shells = self.header.n_shells 

    +

    5011 n_beams = self.header.n_beams 

    +

    5012 # n_elems = n_solids + n_tshells + n_shells + n_beams 

    +

    5013 

    +

    5014 # SOLIDS 

    +

    5015 if n_solids > 0: 

    +

    5016 try: 

    +

    5017 array_dict[ArrayType.element_solid_is_alive] = state_data[ 

    +

    5018 :, var_index : var_index + n_solids 

    +

    5019 ].reshape((n_states, n_solids)) 

    +

    5020 except Exception: 

    +

    5021 trb_msg = traceback.format_exc() 

    +

    5022 msg = "A failure in %s was caught:\n%s" 

    +

    5023 LOGGER.warning(msg, "_read_states_is_alive, solids", trb_msg) 

    +

    5024 finally: 

    +

    5025 var_index += n_solids 

    +

    5026 

    +

    5027 # TSHELLS 

    +

    5028 if n_tshells > 0: 

    +

    5029 try: 

    +

    5030 array_dict[ArrayType.element_tshell_is_alive] = state_data[ 

    +

    5031 :, var_index : var_index + n_tshells 

    +

    5032 ].reshape((n_states, n_tshells)) 

    +

    5033 except Exception: 

    +

    5034 trb_msg = traceback.format_exc() 

    +

    5035 msg = "A failure in %s was caught:\n%s" 

    +

    5036 LOGGER.warning(msg, "_read_states_is_alive, solids", trb_msg) 

    +

    5037 finally: 

    +

    5038 var_index += n_tshells 

    +

    5039 

    +

    5040 # SHELLS 

    +

    5041 if n_shells > 0: 

    +

    5042 try: 

    +

    5043 array_dict[ArrayType.element_shell_is_alive] = state_data[ 

    +

    5044 :, var_index : var_index + n_shells 

    +

    5045 ].reshape((n_states, n_shells)) 

    +

    5046 except Exception: 

    +

    5047 trb_msg = traceback.format_exc() 

    +

    5048 msg = "A failure in %s was caught:\n%s" 

    +

    5049 LOGGER.warning(msg, "_read_states_is_alive, shells", trb_msg) 

    +

    5050 finally: 

    +

    5051 var_index += n_shells 

    +

    5052 

    +

    5053 # BEAMS 

    +

    5054 if n_beams > 0: 

    +

    5055 try: 

    +

    5056 array_dict[ArrayType.element_beam_is_alive] = state_data[ 

    +

    5057 :, var_index : var_index + n_beams 

    +

    5058 ].reshape((n_states, n_beams)) 

    +

    5059 except Exception: 

    +

    5060 trb_msg = traceback.format_exc() 

    +

    5061 msg = "A failure in %s was caught:\n%s" 

    +

    5062 LOGGER.warning(msg, "_read_states_is_alive, beams", trb_msg) 

    +

    5063 finally: 

    +

    5064 var_index += n_beams 

    +

    5065 

    +

    5066 LOGGER.debug("_read_states_is_alive end at var_index %d", var_index) 

    +

    5067 

    +

    5068 return var_index 

    +

    5069 

    +

    5070 def _read_states_sph(self, state_data: np.ndarray, var_index: int, array_dict: dict) -> int: 

    +

    5071 """Read the sph state data 

    +

    5072 

    +

    5073 Parameters 

    +

    5074 ---------- 

    +

    5075 state_data: np.ndarray 

    +

    5076 array with entire state data 

    +

    5077 var_index: int 

    +

    5078 variable index in the state data array 

    +

    5079 array_dict: dict 

    +

    5080 dictionary to store the loaded arrays in 

    +

    5081 

    +

    5082 Returns 

    +

    5083 ------- 

    +

    5084 var_index: int 

    +

    5085 updated variable index after reading the section 

    +

    5086 """ 

    +

    5087 

    +

    5088 if self.header.n_sph_nodes <= 0: 

    +

    5089 return var_index 

    +

    5090 

    +

    5091 LOGGER.debug("_read_states_sph start at var_index %d", var_index) 

    +

    5092 

    +

    5093 info = self._sph_info 

    +

    5094 n_states = state_data.shape[0] 

    +

    5095 n_particles = self.header.n_sph_nodes 

    +

    5096 n_variables = info.n_sph_vars 

    +

    5097 

    +

    5098 # extract data 

    +

    5099 try: 

    +

    5100 sph_data = state_data[:, var_index : var_index + n_particles * n_variables] 

    +

    5101 

    +

    5102 i_var = 1 

    +

    5103 

    +

    5104 # deletion 

    +

    5105 try: 

    +

    5106 array_dict[ArrayType.sph_deletion] = sph_data[:, 0] < 0 

    +

    5107 except Exception: 

    +

    5108 trb_msg = traceback.format_exc() 

    +

    5109 msg = "A failure in %s was caught:\n%s" 

    +

    5110 LOGGER.warning(msg, "_read_states_sph, deletion", trb_msg) 

    +

    5111 

    +

    5112 # particle radius 

    +

    5113 if info.has_influence_radius: 

    +

    5114 try: 

    +

    5115 array_dict[ArrayType.sph_radius] = sph_data[:, i_var] 

    +

    5116 except Exception: 

    +

    5117 trb_msg = traceback.format_exc() 

    +

    5118 msg = "A failure in %s was caught:\n%s" 

    +

    5119 LOGGER.warning(msg, "_read_states_sph, radius", trb_msg) 

    +

    5120 finally: 

    +

    5121 i_var += 1 

    +

    5122 

    +

    5123 # pressure 

    +

    5124 if info.has_particle_pressure: 

    +

    5125 try: 

    +

    5126 array_dict[ArrayType.sph_pressure] = sph_data[:, i_var] 

    +

    5127 except Exception: 

    +

    5128 trb_msg = traceback.format_exc() 

    +

    5129 msg = "A failure in %s was caught:\n%s" 

    +

    5130 LOGGER.warning(msg, "_read_states_sph, pressure", trb_msg) 

    +

    5131 finally: 

    +

    5132 i_var += 1 

    +

    5133 

    +

    5134 # stress 

    +

    5135 if info.has_stresses: 

    +

    5136 try: 

    +

    5137 array_dict[ArrayType.sph_stress] = sph_data[ 

    +

    5138 :, i_var : i_var + n_particles * 6 

    +

    5139 ].reshape((n_states, n_particles, 6)) 

    +

    5140 except Exception: 

    +

    5141 trb_msg = traceback.format_exc() 

    +

    5142 msg = "A failure in %s was caught:\n%s" 

    +

    5143 LOGGER.warning(msg, "_read_states_sph, pressure", trb_msg) 

    +

    5144 finally: 

    +

    5145 i_var += 6 * n_particles 

    +

    5146 

    +

    5147 # eff. plastic strain 

    +

    5148 if info.has_plastic_strain: 

    +

    5149 try: 

    +

    5150 array_dict[ArrayType.sph_effective_plastic_strain] = sph_data[:, i_var] 

    +

    5151 except Exception: 

    +

    5152 trb_msg = traceback.format_exc() 

    +

    5153 msg = "A failure in %s was caught:\n%s" 

    +

    5154 LOGGER.warning(msg, "_read_states_sph, eff_plastic_strain", trb_msg) 

    +

    5155 finally: 

    +

    5156 i_var += 1 

    +

    5157 

    +

    5158 # density 

    +

    5159 if info.has_material_density: 

    +

    5160 try: 

    +

    5161 array_dict[ArrayType.sph_density] = sph_data[:, i_var] 

    +

    5162 except Exception: 

    +

    5163 trb_msg = traceback.format_exc() 

    +

    5164 msg = "A failure in %s was caught:\n%s" 

    +

    5165 LOGGER.warning(msg, "_read_states_sph, density", trb_msg) 

    +

    5166 finally: 

    +

    5167 i_var += 1 

    +

    5168 

    +

    5169 # internal energy 

    +

    5170 if info.has_internal_energy: 

    +

    5171 try: 

    +

    5172 array_dict[ArrayType.sph_internal_energy] = sph_data[:, i_var] 

    +

    5173 except Exception: 

    +

    5174 trb_msg = traceback.format_exc() 

    +

    5175 msg = "A failure in %s was caught:\n%s" 

    +

    5176 LOGGER.warning(msg, "_read_states_sph, internal_energy", trb_msg) 

    +

    5177 finally: 

    +

    5178 i_var += 1 

    +

    5179 

    +

    5180 # number of neighbors 

    +

    5181 if info.has_n_affecting_neighbors: 

    +

    5182 try: 

    +

    5183 array_dict[ArrayType.sph_n_neighbors] = sph_data[:, i_var] 

    +

    5184 except Exception: 

    +

    5185 trb_msg = traceback.format_exc() 

    +

    5186 msg = "A failure in %s was caught:\n%s" 

    +

    5187 LOGGER.warning(msg, "_read_states_sph, n_neighbors", trb_msg) 

    +

    5188 finally: 

    +

    5189 i_var += 1 

    +

    5190 

    +

    5191 # strain and strainrate 

    +

    5192 if info.has_strain_and_strainrate: 

    +

    5193 

    +

    5194 try: 

    +

    5195 array_dict[ArrayType.sph_strain] = sph_data[ 

    +

    5196 :, i_var : i_var + n_particles * 6 

    +

    5197 ].reshape((n_states, n_particles, 6)) 

    +

    5198 except Exception: 

    +

    5199 trb_msg = traceback.format_exc() 

    +

    5200 msg = "A failure in %s was caught:\n%s" 

    +

    5201 LOGGER.warning(msg, "_read_states_sph, strain", trb_msg) 

    +

    5202 finally: 

    +

    5203 i_var += 6 * n_particles 

    +

    5204 

    +

    5205 try: 

    +

    5206 array_dict[ArrayType.sph_strainrate] = sph_data[ 

    +

    5207 :, i_var : i_var + n_particles * 6 

    +

    5208 ].reshape((n_states, n_particles, 6)) 

    +

    5209 except Exception: 

    +

    5210 trb_msg = traceback.format_exc() 

    +

    5211 msg = "A failure in %s was caught:\n%s" 

    +

    5212 LOGGER.warning(msg, "_read_states_sph, strainrate", trb_msg) 

    +

    5213 finally: 

    +

    5214 i_var += 6 * n_particles 

    +

    5215 

    +

    5216 # mass 

    +

    5217 if info.has_mass: 

    +

    5218 try: 

    +

    5219 array_dict[ArrayType.sph_mass] = sph_data[:, i_var] 

    +

    5220 except Exception: 

    +

    5221 trb_msg = traceback.format_exc() 

    +

    5222 msg = "A failure in %s was caught:\n%s" 

    +

    5223 LOGGER.warning(msg, "_read_states_sph, pressure", trb_msg) 

    +

    5224 finally: 

    +

    5225 i_var += 1 

    +

    5226 

    +

    5227 except Exception: 

    +

    5228 trb_msg = traceback.format_exc() 

    +

    5229 msg = "A failure in %s was caught:\n%s" 

    +

    5230 LOGGER.warning(msg, "_read_states_sph, sph_data", trb_msg) 

    +

    5231 finally: 

    +

    5232 var_index += n_particles * n_variables 

    +

    5233 

    +

    5234 LOGGER.debug("_read_states_sph end at var_index %d", var_index) 

    +

    5235 

    +

    5236 return var_index 

    +

    5237 

    +

    5238 def _read_states_airbags(self, state_data: np.ndarray, var_index: int, array_dict: dict) -> int: 

    +

    5239 """Read the airbag state data 

    +

    5240 

    +

    5241 Parameters 

    +

    5242 ---------- 

    +

    5243 state_data: np.ndarray 

    +

    5244 array with entire state data 

    +

    5245 var_index: int 

    +

    5246 variable index in the state data array 

    +

    5247 array_dict: dict 

    +

    5248 dictionary to store the loaded arrays in 

    +

    5249 

    +

    5250 Returns 

    +

    5251 ------- 

    +

    5252 var_index: int 

    +

    5253 updated variable index after reading the section 

    +

    5254 """ 

    +

    5255 

    +

    5256 if self.header.n_airbags <= 0: 

    +

    5257 return var_index 

    +

    5258 

    +

    5259 LOGGER.debug("_read_states_airbags start at var_index %d", var_index) 

    +

    5260 

    +

    5261 n_states = state_data.shape[0] 

    +

    5262 info = self._airbag_info 

    +

    5263 n_airbag_geom_vars = info.n_geometric_variables 

    +

    5264 n_airbags = info.n_airbags 

    +

    5265 n_state_airbag_vars = info.n_airbag_state_variables 

    +

    5266 n_particles = info.n_particles 

    +

    5267 n_particle_vars = info.n_particle_state_variables 

    +

    5268 

    +

    5269 # Warning 

    +

    5270 # I am not sure if this is right ... 

    +

    5271 n_total_vars = n_airbags * n_state_airbag_vars + n_particles * n_particle_vars 

    +

    5272 

    +

    5273 try: 

    +

    5274 # types 

    +

    5275 # nlist = ngeom + nvar + nstgeom 

    +

    5276 airbag_var_types = self.arrays[ArrayType.airbag_variable_types] 

    +

    5277 airbag_var_names = self.arrays[ArrayType.airbag_variable_names] 

    +

    5278 # geom_var_types = airbag_var_types[:n_airbag_geom_vars] 

    +

    5279 particle_var_types = airbag_var_types[ 

    +

    5280 n_airbag_geom_vars : n_airbag_geom_vars + n_particle_vars 

    +

    5281 ] 

    +

    5282 particle_var_names = airbag_var_names[ 

    +

    5283 n_airbag_geom_vars : n_airbag_geom_vars + n_particle_vars 

    +

    5284 ] 

    +

    5285 

    +

    5286 airbag_state_var_types = airbag_var_types[n_airbag_geom_vars + n_particle_vars :] 

    +

    5287 airbag_state_var_names = airbag_var_names[n_airbag_geom_vars + n_particle_vars :] 

    +

    5288 

    +

    5289 # required for dynamic reading 

    +

    5290 def get_dtype(type_flag): 

    +

    5291 return self._header.itype if type_flag == 1 else self.header.ftype 

    +

    5292 

    +

    5293 # extract airbag data 

    +

    5294 airbag_state_data = state_data[:, var_index : var_index + n_total_vars] 

    +

    5295 

    +

    5296 # airbag data 

    +

    5297 airbag_data = airbag_state_data[:, : n_airbags * n_state_airbag_vars].reshape( 

    +

    5298 (n_states, n_airbags, n_state_airbag_vars) 

    +

    5299 ) 

    +

    5300 airbag_state_offset = n_airbags * n_state_airbag_vars 

    +

    5301 

    +

    5302 # particle data 

    +

    5303 particle_data = airbag_state_data[ 

    +

    5304 :, airbag_state_offset : airbag_state_offset + n_particles * n_particle_vars 

    +

    5305 ].reshape((n_states, n_particles, n_particle_vars)) 

    +

    5306 

    +

    5307 # save sh... 

    +

    5308 

    +

    5309 # airbag state vars 

    +

    5310 for i_airbag_state_var in range(n_state_airbag_vars): 

    +

    5311 var_name = airbag_state_var_names[i_airbag_state_var].strip() 

    +

    5312 var_type = airbag_state_var_types[i_airbag_state_var] 

    +

    5313 

    +

    5314 if var_name.startswith("Act Gas"): 

    +

    5315 try: 

    +

    5316 array_dict[ArrayType.airbag_n_active_particles] = airbag_data[ 

    +

    5317 :, :, i_airbag_state_var 

    +

    5318 ].view(get_dtype(var_type)) 

    +

    5319 except Exception: 

    +

    5320 trb_msg = traceback.format_exc() 

    +

    5321 msg = "A failure in %s was caught:\n%s" 

    +

    5322 LOGGER.warning( 

    +

    5323 msg, "_read_states_airbags, airbag_n_active_particles", trb_msg 

    +

    5324 ) 

    +

    5325 elif var_name.startswith("Bag Vol"): 

    +

    5326 try: 

    +

    5327 array_dict[ArrayType.airbag_bag_volume] = airbag_data[ 

    +

    5328 :, :, i_airbag_state_var 

    +

    5329 ].view(get_dtype(var_type)) 

    +

    5330 except Exception: 

    +

    5331 trb_msg = traceback.format_exc() 

    +

    5332 msg = "A failure in %s was caught:\n%s" 

    +

    5333 LOGGER.warning(msg, "_read_states_airbags, airbag_volume", trb_msg) 

    +

    5334 else: 

    +

    5335 warn_msg = "Unknown airbag state var: '%s'. Skipping it." 

    +

    5336 LOGGER.warning(warn_msg, var_name) 

    +

    5337 

    +

    5338 # particles yay 

    +

    5339 for i_particle_var in range(n_particle_vars): 

    +

    5340 var_type = particle_var_types[i_particle_var] 

    +

    5341 var_name = particle_var_names[i_particle_var].strip() 

    +

    5342 

    +

    5343 # particle gas id 

    +

    5344 if var_name.startswith("GasC ID"): 

    +

    5345 try: 

    +

    5346 array_dict[ArrayType.airbag_particle_gas_id] = particle_data[ 

    +

    5347 :, :, i_particle_var 

    +

    5348 ].view(get_dtype(var_type)) 

    +

    5349 except Exception: 

    +

    5350 trb_msg = traceback.format_exc() 

    +

    5351 msg = "A failure in %s %s was caught:\n%s" 

    +

    5352 LOGGER.warning( 

    +

    5353 msg, "_read_states_airbags, particle_gas_id", var_name, trb_msg 

    +

    5354 ) 

    +

    5355 # particle chamber id 

    +

    5356 elif var_name.startswith("Cham ID"): 

    +

    5357 try: 

    +

    5358 array_dict[ArrayType.airbag_particle_chamber_id] = particle_data[ 

    +

    5359 :, :, i_particle_var 

    +

    5360 ].view(get_dtype(var_type)) 

    +

    5361 except Exception: 

    +

    5362 trb_msg = traceback.format_exc() 

    +

    5363 msg = "A failure in %s %s was caught:\n%s" 

    +

    5364 LOGGER.warning( 

    +

    5365 msg, "_read_states_airbags, particle_gas_id", var_name, trb_msg 

    +

    5366 ) 

    +

    5367 # particle leakage 

    +

    5368 elif var_name.startswith("Leakage"): 

    +

    5369 try: 

    +

    5370 array_dict[ArrayType.airbag_particle_leakage] = particle_data[ 

    +

    5371 :, :, i_particle_var 

    +

    5372 ].view(get_dtype(var_type)) 

    +

    5373 except Exception: 

    +

    5374 trb_msg = traceback.format_exc() 

    +

    5375 msg = "A failure in %s %s was caught:\n%s" 

    +

    5376 LOGGER.warning( 

    +

    5377 msg, "_read_states_airbags, particle_gas_id", var_name, trb_msg 

    +

    5378 ) 

    +

    5379 # particle mass 

    +

    5380 elif var_name.startswith("Mass"): 

    +

    5381 try: 

    +

    5382 array_dict[ArrayType.airbag_particle_mass] = particle_data[ 

    +

    5383 :, :, i_particle_var 

    +

    5384 ].view(get_dtype(var_type)) 

    +

    5385 except Exception: 

    +

    5386 trb_msg = traceback.format_exc() 

    +

    5387 msg = "A failure in %s %s was caught:\n%s" 

    +

    5388 LOGGER.warning( 

    +

    5389 msg, "_read_states_airbags, particle_gas_id", var_name, trb_msg 

    +

    5390 ) 

    +

    5391 # particle radius 

    +

    5392 try: 

    +

    5393 array_dict[ArrayType.airbag_particle_radius] = particle_data[ 

    +

    5394 :, :, i_particle_var 

    +

    5395 ].view(get_dtype(var_type)) 

    +

    5396 except Exception: 

    +

    5397 trb_msg = traceback.format_exc() 

    +

    5398 msg = "A failure in %s %s was caught:\n%s" 

    +

    5399 LOGGER.warning( 

    +

    5400 msg, "_read_states_airbags, particle_gas_id", var_name, trb_msg 

    +

    5401 ) 

    +

    5402 # particle spin energy 

    +

    5403 elif var_name.startswith("Spin En"): 

    +

    5404 try: 

    +

    5405 array_dict[ArrayType.airbag_particle_spin_energy] = particle_data[ 

    +

    5406 :, :, i_particle_var 

    +

    5407 ].view(get_dtype(var_type)) 

    +

    5408 except Exception: 

    +

    5409 trb_msg = traceback.format_exc() 

    +

    5410 msg = "A failure in %s %s was caught:\n%s" 

    +

    5411 LOGGER.warning( 

    +

    5412 msg, "_read_states_airbags, particle_gas_id", var_name, trb_msg 

    +

    5413 ) 

    +

    5414 # particle translational energy 

    +

    5415 elif var_name.startswith("Tran En"): 

    +

    5416 try: 

    +

    5417 array_dict[ArrayType.airbag_particle_translation_energy] = particle_data[ 

    +

    5418 :, :, i_particle_var 

    +

    5419 ].view(get_dtype(var_type)) 

    +

    5420 except Exception: 

    +

    5421 trb_msg = traceback.format_exc() 

    +

    5422 msg = "A failure in %s %s was caught:\n%s" 

    +

    5423 LOGGER.warning( 

    +

    5424 msg, "_read_states_airbags, particle_gas_id", var_name, trb_msg 

    +

    5425 ) 

    +

    5426 # particle segment distance 

    +

    5427 elif var_name.startswith("NS dist"): 

    +

    5428 try: 

    +

    5429 array_dict[ 

    +

    5430 ArrayType.airbag_particle_nearest_segment_distance 

    +

    5431 ] = particle_data[:, :, i_particle_var].view(get_dtype(var_type)) 

    +

    5432 except Exception: 

    +

    5433 trb_msg = traceback.format_exc() 

    +

    5434 msg = "A failure in %s %s was caught:\n%s" 

    +

    5435 LOGGER.warning( 

    +

    5436 msg, "_read_states_airbags, particle_gas_id", var_name, trb_msg 

    +

    5437 ) 

    +

    5438 # particle position 

    +

    5439 elif var_name.startswith("Pos x"): 

    +

    5440 try: 

    +

    5441 particle_var_names_stripped = [ 

    +

    5442 entry.strip() for entry in particle_var_names 

    +

    5443 ] 

    +

    5444 i_particle_var_x = i_particle_var 

    +

    5445 i_particle_var_y = particle_var_names_stripped.index("Pos y") 

    +

    5446 i_particle_var_z = particle_var_names_stripped.index("Pos z") 

    +

    5447 

    +

    5448 array_dict[ArrayType.airbag_particle_position] = particle_data[ 

    +

    5449 :, :, (i_particle_var_x, i_particle_var_y, i_particle_var_z) 

    +

    5450 ].view(get_dtype(var_type)) 

    +

    5451 except Exception: 

    +

    5452 trb_msg = traceback.format_exc() 

    +

    5453 msg = "A failure in %s %s was caught:\n%s" 

    +

    5454 LOGGER.warning( 

    +

    5455 msg, "_read_states_airbags, particle_gas_id", var_name, trb_msg 

    +

    5456 ) 

    +

    5457 elif var_name.startswith("Pos y"): 

    +

    5458 # handled in Pos x 

    +

    5459 pass 

    +

    5460 elif var_name.startswith("Pos z"): 

    +

    5461 # handled in Pos x 

    +

    5462 pass 

    +

    5463 # particle velocity 

    +

    5464 elif var_name.startswith("Vel x"): 

    +

    5465 try: 

    +

    5466 particle_var_names_stripped = [ 

    +

    5467 entry.strip() for entry in particle_var_names 

    +

    5468 ] 

    +

    5469 i_particle_var_x = i_particle_var 

    +

    5470 i_particle_var_y = particle_var_names_stripped.index("Vel y") 

    +

    5471 i_particle_var_z = particle_var_names_stripped.index("Vel z") 

    +

    5472 

    +

    5473 array_dict[ArrayType.airbag_particle_velocity] = particle_data[ 

    +

    5474 :, :, (i_particle_var_x, i_particle_var_y, i_particle_var_z) 

    +

    5475 ].view(get_dtype(var_type)) 

    +

    5476 except Exception: 

    +

    5477 trb_msg = traceback.format_exc() 

    +

    5478 msg = "A failure in %s %s was caught:\n%s" 

    +

    5479 LOGGER.warning( 

    +

    5480 msg, "_read_states_airbags, particle_gas_id", var_name, trb_msg 

    +

    5481 ) 

    +

    5482 

    +

    5483 except Exception: 

    +

    5484 trb_msg = traceback.format_exc() 

    +

    5485 msg = "A failure in %s was caught:\n%s" 

    +

    5486 LOGGER.warning(msg, "_read_states_airbags, particle_data", trb_msg) 

    +

    5487 finally: 

    +

    5488 var_index += n_total_vars 

    +

    5489 

    +

    5490 LOGGER.debug("_read_states_airbags end at var_index %d", var_index) 

    +

    5491 

    +

    5492 return var_index 

    +

    5493 

    +

    5494 def _read_states_road_surfaces( 

    +

    5495 self, state_data: np.ndarray, var_index: int, array_dict: dict 

    +

    5496 ) -> int: 

    +

    5497 """Read the road surfaces state data for whoever wants this ... 

    +

    5498 

    +

    5499 Parameters 

    +

    5500 ---------- 

    +

    5501 state_data: np.ndarray 

    +

    5502 array with entire state data 

    +

    5503 var_index: int 

    +

    5504 variable index in the state data array 

    +

    5505 array_dict: dict 

    +

    5506 dictionary to store the loaded arrays in 

    +

    5507 

    +

    5508 Returns 

    +

    5509 ------- 

    +

    5510 var_index: int 

    +

    5511 updated variable index after reading the section 

    +

    5512 """ 

    +

    5513 

    +

    5514 if not self.header.has_rigid_road_surface: 

    +

    5515 return var_index 

    +

    5516 

    +

    5517 LOGGER.debug("_read_states_road_surfaces start at var_index %s", var_index) 

    +

    5518 

    +

    5519 n_states = state_data.shape[0] 

    +

    5520 info = self._rigid_road_info 

    +

    5521 n_roads = info.n_roads 

    +

    5522 

    +

    5523 try: 

    +

    5524 # read road data 

    +

    5525 road_data = state_data[:, var_index : var_index + 6 * n_roads].reshape( 

    +

    5526 (n_states, n_roads, 2, 3) 

    +

    5527 ) 

    +

    5528 

    +

    5529 # DISPLACEMENT 

    +

    5530 try: 

    +

    5531 array_dict[ArrayType.rigid_road_displacement] = road_data[:, :, 0, :] 

    +

    5532 except Exception: 

    +

    5533 trb_msg = traceback.format_exc() 

    +

    5534 msg = "A failure in %s was caught:\n%s" 

    +

    5535 LOGGER.warning(msg, "_read_states_road_surfaces, road_displacement", trb_msg) 

    +

    5536 

    +

    5537 # VELOCITY 

    +

    5538 try: 

    +

    5539 array_dict[ArrayType.rigid_road_velocity] = road_data[:, :, 1, :] 

    +

    5540 except Exception: 

    +

    5541 trb_msg = traceback.format_exc() 

    +

    5542 msg = "A failure in %s was caught:\n%s" 

    +

    5543 LOGGER.warning(msg, "_read_states_road_surfaces, road_velocity", trb_msg) 

    +

    5544 

    +

    5545 except Exception: 

    +

    5546 trb_msg = traceback.format_exc() 

    +

    5547 msg = "A failure in %s was caught:\n%s" 

    +

    5548 LOGGER.warning(msg, "_read_states_road_surfaces, road_data", trb_msg) 

    +

    5549 finally: 

    +

    5550 var_index += 6 * n_roads 

    +

    5551 

    +

    5552 LOGGER.debug("_read_states_road_surfaces end at var_index %d", var_index) 

    +

    5553 

    +

    5554 return var_index 

    +

    5555 

    +

    5556 def _read_states_rigid_body_motion( 

    +

    5557 self, state_data: np.ndarray, var_index: int, array_dict: dict 

    +

    5558 ) -> int: 

    +

    5559 """Read the road surfaces state data for whoever want this ... 

    +

    5560 

    +

    5561 Parameters 

    +

    5562 ---------- 

    +

    5563 state_data: np.ndarray 

    +

    5564 array with entire state data 

    +

    5565 var_index: int 

    +

    5566 variable index in the state data array 

    +

    5567 array_dict: dict 

    +

    5568 dictionary to store the loaded arrays in 

    +

    5569 

    +

    5570 Returns 

    +

    5571 ------- 

    +

    5572 var_index: int 

    +

    5573 updated variable index after reading the section 

    +

    5574 """ 

    +

    5575 

    +

    5576 if not self.header.has_rigid_body_data: 

    +

    5577 return var_index 

    +

    5578 

    +

    5579 LOGGER.debug("_read_states_rigid_body_motion start at var_index %d", var_index) 

    +

    5580 

    +

    5581 info = self._rigid_body_info 

    +

    5582 n_states = state_data.shape[0] 

    +

    5583 n_rigids = info.n_rigid_bodies 

    +

    5584 n_rigid_vars = 12 if self.header.has_reduced_rigid_body_data else 24 

    +

    5585 

    +

    5586 try: 

    +

    5587 # do the thing 

    +

    5588 rigid_body_data = state_data[ 

    +

    5589 :, var_index : var_index + n_rigids * n_rigid_vars 

    +

    5590 ].reshape((n_states, n_rigids, n_rigid_vars)) 

    +

    5591 

    +

    5592 # let the party begin 

    +

    5593 # rigid coordinates 

    +

    5594 try: 

    +

    5595 array_dict[ArrayType.rigid_body_coordinates] = rigid_body_data[:, :, :3] 

    +

    5596 except Exception: 

    +

    5597 trb_msg = traceback.format_exc() 

    +

    5598 msg = "A failure in %s was caught:\n%s" 

    +

    5599 LOGGER.warning(msg, "_read_states_rigid_body_motion, coordinates", trb_msg) 

    +

    5600 finally: 

    +

    5601 i_var = 3 

    +

    5602 

    +

    5603 # rotation matrix 

    +

    5604 try: 

    +

    5605 array_dict[ArrayType.rigid_body_rotation_matrix] = rigid_body_data[ 

    +

    5606 :, :, i_var : i_var + 9 

    +

    5607 ] 

    +

    5608 except Exception: 

    +

    5609 trb_msg = traceback.format_exc() 

    +

    5610 msg = "A failure in %s was caught:\n%s" 

    +

    5611 LOGGER.warning(msg, "_read_states_rigid_body_motion, rot_matrix", trb_msg) 

    +

    5612 finally: 

    +

    5613 i_var += 9 

    +

    5614 

    +

    5615 if self.header.has_reduced_rigid_body_data: 

    +

    5616 return var_index 

    +

    5617 

    +

    5618 # velocity pewpew 

    +

    5619 try: 

    +

    5620 array_dict[ArrayType.rigid_body_velocity] = rigid_body_data[:, :, i_var : i_var + 3] 

    +

    5621 except Exception: 

    +

    5622 trb_msg = traceback.format_exc() 

    +

    5623 msg = "A failure in %s was caught:\n%s" 

    +

    5624 LOGGER.warning(msg, "_read_states_rigid_body_motion, velocity", trb_msg) 

    +

    5625 finally: 

    +

    5626 i_var += 3 

    +

    5627 

    +

    5628 # rotational velocity 

    +

    5629 try: 

    +

    5630 array_dict[ArrayType.rigid_body_rot_velocity] = rigid_body_data[ 

    +

    5631 :, :, i_var : i_var + 3 

    +

    5632 ] 

    +

    5633 except Exception: 

    +

    5634 trb_msg = traceback.format_exc() 

    +

    5635 msg = "A failure in %s was caught:\n%s" 

    +

    5636 LOGGER.warning(msg, "_read_states_rigid_body_motion, rot_velocity", trb_msg) 

    +

    5637 finally: 

    +

    5638 i_var += 3 

    +

    5639 

    +

    5640 # acceleration 

    +

    5641 try: 

    +

    5642 array_dict[ArrayType.rigid_body_acceleration] = rigid_body_data[ 

    +

    5643 :, :, i_var : i_var + 3 

    +

    5644 ] 

    +

    5645 except Exception: 

    +

    5646 trb_msg = traceback.format_exc() 

    +

    5647 msg = "A failure in %s was caught:\n%s" 

    +

    5648 LOGGER.warning(msg, "_read_states_rigid_body_motion, acceleration", trb_msg) 

    +

    5649 finally: 

    +

    5650 i_var += 3 

    +

    5651 

    +

    5652 # rotational acceleration 

    +

    5653 try: 

    +

    5654 array_dict[ArrayType.rigid_body_rot_acceleration] = rigid_body_data[ 

    +

    5655 :, :, i_var : i_var + 3 

    +

    5656 ] 

    +

    5657 except Exception: 

    +

    5658 trb_msg = traceback.format_exc() 

    +

    5659 msg = "A failure in %s was caught:\n%s" 

    +

    5660 LOGGER.warning(msg, "_read_states_rigid_body_motion, rot_acceleration", trb_msg) 

    +

    5661 finally: 

    +

    5662 i_var += 3 

    +

    5663 

    +

    5664 except Exception: 

    +

    5665 trb_msg = traceback.format_exc() 

    +

    5666 msg = "A failure in %s was caught:\n%s" 

    +

    5667 LOGGER.warning(msg, "_read_states_rigid_body_motion, rigid_body_data", trb_msg) 

    +

    5668 

    +

    5669 finally: 

    +

    5670 var_index += n_rigids * n_rigid_vars 

    +

    5671 

    +

    5672 LOGGER.debug("_read_states_rigid_body_motion end at var_index %d", var_index) 

    +

    5673 

    +

    5674 return var_index 

    +

    5675 

    +

    5676 def _collect_file_infos(self, size_per_state: int) -> List[MemoryInfo]: 

    +

    5677 """This routine collects the memory and file info for the d3plot files 

    +

    5678 

    +

    5679 Parameters 

    +

    5680 ---------- 

    +

    5681 size_per_state: int 

    +

    5682 size of every state to be read 

    +

    5683 

    +

    5684 Returns 

    +

    5685 ------- 

    +

    5686 memory_infos: List[MemoryInfo] 

    +

    5687 memory infos about the states 

    +

    5688 

    +

    5689 Notes 

    +

    5690 ----- 

    +

    5691 State data is expected directly behind geometry data 

    +

    5692 Unfortunately data is spread across multiple files. 

    +

    5693 One file could contain geometry and state data but states 

    +

    5694 may also be littered accross several files. This would 

    +

    5695 not be an issue, if dyna would not always write in blocks 

    +

    5696 of 512 words of memory, leaving zero byte padding blocks 

    +

    5697 at the end of files. These need to be removed and/or taken 

    +

    5698 care of. 

    +

    5699 """ 

    +

    5700 

    +

    5701 if not self._buffer: 

    +

    5702 return [] 

    +

    5703 

    +

    5704 base_filepath = self.header.filepath 

    +

    5705 

    +

    5706 # bugfix 

    +

    5707 # If you encounter these int casts more often here this is why: 

    +

    5708 # Some ints around here are numpy.int32 which can overflow 

    +

    5709 # (sometimes there is a warning ... sometimes not ...) 

    +

    5710 # we cast to python ints in order to prevent overflow. 

    +

    5711 size_per_state = int(size_per_state) 

    +

    5712 

    +

    5713 # Info: 

    +

    5714 # 

    +

    5715 # We need to determine here how many states are in every file 

    +

    5716 # without really loading the file itself. For big files this is 

    +

    5717 # simply filesize // state_size. 

    +

    5718 # For files though with a smaller filesize this may cause issues 

    +

    5719 # e.g. 

    +

    5720 # filesize 2048 bytes (minimum filesize from dyna) 

    +

    5721 # geom_size 200 bytes 

    +

    5722 # state_size 200 bytes 

    +

    5723 # File contains: 

    +

    5724 # -> 1 state * state_size + geom_size = 400 bytes 

    +

    5725 # Wrong State Estimation: 

    +

    5726 # -> (filesize - geom_size) // state_size = 9 states != 1 state 

    +

    5727 # 

    +

    5728 # To avoid this wrong number of states when reading small files 

    +

    5729 # we need to search the end mark (here nonzero byte) from the rear 

    +

    5730 # of the file. 

    +

    5731 # This though needs the file to be loaded into memory. To make this 

    +

    5732 # very light, we simply memorymap a small fraction of the file starting 

    +

    5733 # from the rear until we have our nonzero byte. Since the end mark 

    +

    5734 # is usually in the first block loaded, there should not be any performance 

    +

    5735 # concerns, even with bigger files. 

    +

    5736 

    +

    5737 # query for state files 

    +

    5738 filepaths = D3plot._find_dyna_result_files(base_filepath) 

    +

    5739 

    +

    5740 # compute state data in first file 

    +

    5741 # search therefore the first non-zero byte from the rear 

    +

    5742 last_nonzero_byte_index = self._buffer.size 

    +

    5743 mview_inv_arr = np.asarray(self._buffer.memoryview[::-1]) 

    +

    5744 # pylint: disable = invalid-name 

    +

    5745 BLOCK_SIZE = 2048 

    +

    5746 for start in range(0, self._buffer.size, BLOCK_SIZE): 

    +

    5747 (nz_indexes,) = np.nonzero(mview_inv_arr[start : start + BLOCK_SIZE]) 

    +

    5748 if len(nz_indexes): 

    +

    5749 last_nonzero_byte_index = self._buffer.size - (start + nz_indexes[0]) 

    +

    5750 break 

    +

    5751 n_states_beyond_geom = ( 

    +

    5752 last_nonzero_byte_index - self.geometry_section_size 

    +

    5753 ) // size_per_state 

    +

    5754 

    +

    5755 # bugfix: if states are too big we can get a negative estimation 

    +

    5756 n_states_beyond_geom = max(0, n_states_beyond_geom) 

    +

    5757 

    +

    5758 # memory required later 

    +

    5759 memory_infos = [ 

    +

    5760 MemoryInfo( 

    +

    5761 start=self.geometry_section_size, # type: ignore 

    +

    5762 length=n_states_beyond_geom * size_per_state, # type: ignore 

    +

    5763 filepath=base_filepath, 

    +

    5764 n_states=n_states_beyond_geom, # type: ignore 

    +

    5765 filesize=self._buffer.size, 

    +

    5766 use_mmap=True, 

    +

    5767 ) 

    +

    5768 ] 

    +

    5769 

    +

    5770 # compute amount of state data in every further file 

    +

    5771 for filepath in filepaths: 

    +

    5772 filesize = os.path.getsize(filepath) 

    +

    5773 last_nonzero_byte_index = -1 

    +

    5774 

    +

    5775 n_blocks = filesize // mmap.ALLOCATIONGRANULARITY 

    +

    5776 rest_size = filesize % mmap.ALLOCATIONGRANULARITY 

    +

    5777 block_length = mmap.ALLOCATIONGRANULARITY 

    +

    5778 with open(filepath, "rb") as fp: 

    +

    5779 

    +

    5780 # search last rest block (page-aligned) 

    +

    5781 # page-aligned means the start must be 

    +

    5782 # a multiple of mmap.ALLOCATIONGRANULARITY 

    +

    5783 # otherwise we get an error on linux 

    +

    5784 if rest_size: 

    +

    5785 start = n_blocks * block_length 

    +

    5786 mview = memoryview( 

    +

    5787 mmap.mmap( 

    +

    5788 fp.fileno(), offset=start, length=rest_size, access=mmap.ACCESS_READ 

    +

    5789 ).read() 

    +

    5790 ) 

    +

    5791 (nz_indexes,) = np.nonzero(mview[::-1]) 

    +

    5792 if len(nz_indexes): 

    +

    5793 last_nonzero_byte_index = start + rest_size - nz_indexes[0] 

    +

    5794 

    +

    5795 # search in blocks from the reair 

    +

    5796 if last_nonzero_byte_index == -1: 

    +

    5797 for i_block in range(n_blocks - 1, -1, -1): 

    +

    5798 start = block_length * i_block 

    +

    5799 mview = memoryview( 

    +

    5800 mmap.mmap( 

    +

    5801 fp.fileno(), 

    +

    5802 offset=start, 

    +

    5803 length=block_length, 

    +

    5804 access=mmap.ACCESS_READ, 

    +

    5805 ).read() 

    +

    5806 ) 

    +

    5807 (nz_indexes,) = np.nonzero(mview[::-1]) 

    +

    5808 if len(nz_indexes): 

    +

    5809 index = block_length - nz_indexes[0] 

    +

    5810 last_nonzero_byte_index = start + index 

    +

    5811 break 

    +

    5812 

    +

    5813 if last_nonzero_byte_index == -1: 

    +

    5814 msg = "The file {0} seems to be missing it's endmark." 

    +

    5815 raise RuntimeError(msg.format(filepath)) 

    +

    5816 

    +

    5817 # BUGFIX 

    +

    5818 # In d3eigv it could be observed that there is not necessarily an end mark. 

    +

    5819 # As a consequence the last byte can indeed be zero. We control this by 

    +

    5820 # checking if the last nonzero byte was smaller than the state size which 

    +

    5821 # makes no sense. 

    +

    5822 if ( 

    +

    5823 self.header.filetype == D3plotFiletype.D3EIGV 

    +

    5824 and last_nonzero_byte_index < size_per_state <= filesize 

    +

    5825 ): 

    +

    5826 last_nonzero_byte_index = size_per_state 

    +

    5827 

    +

    5828 n_states_in_file = last_nonzero_byte_index // size_per_state 

    +

    5829 memory_infos.append( 

    +

    5830 MemoryInfo( 

    +

    5831 start=0, 

    +

    5832 length=size_per_state * (n_states_in_file), 

    +

    5833 filepath=filepath, 

    +

    5834 n_states=n_states_in_file, 

    +

    5835 filesize=filesize, 

    +

    5836 use_mmap=False, 

    +

    5837 ) 

    +

    5838 ) 

    +

    5839 

    +

    5840 return memory_infos 

    +

    5841 

    +

    5842 @staticmethod 

    +

    5843 def _read_file_from_memory_info( 

    +

    5844 memory_infos: Union[MemoryInfo, List[MemoryInfo]] 

    +

    5845 ) -> Tuple[BinaryBuffer, int]: 

    +

    5846 """Read files from a single or multiple memory infos 

    +

    5847 

    +

    5848 Parameters 

    +

    5849 ---------- 

    +

    5850 memory_infos: MemoryInfo or List[MemoryInfo] 

    +

    5851 memory infos for loading a file (see `D3plot._collect_file_infos`) 

    +

    5852 

    +

    5853 Returns 

    +

    5854 ------- 

    +

    5855 bb_states: BinaryBuffer 

    +

    5856 New binary buffer with all states perfectly linear in memory 

    +

    5857 n_states: int 

    +

    5858 Number of states to be expected 

    +

    5859 

    +

    5860 Notes 

    +

    5861 ----- 

    +

    5862 This routine in contrast to `D3plot._read_state_bytebuffer` is used 

    +

    5863 to load only a fraction of files into memory. 

    +

    5864 """ 

    +

    5865 

    +

    5866 # single file case 

    +

    5867 if isinstance(memory_infos, MemoryInfo): 

    +

    5868 memory_infos = [memory_infos] 

    +

    5869 

    +

    5870 # allocate memory 

    +

    5871 # bugfix: casting to int prevents int32 overflow for large files 

    +

    5872 memory_required = 0 

    +

    5873 for mem in memory_infos: 

    +

    5874 memory_required += int(mem.length) 

    +

    5875 mview = memoryview(bytearray(memory_required)) 

    +

    5876 

    +

    5877 # transfer memory for other files 

    +

    5878 n_states = 0 

    +

    5879 total_offset = 0 

    +

    5880 for minfo in memory_infos: 

    +

    5881 LOGGER.debug("opening: %s", minfo.filepath) 

    +

    5882 

    +

    5883 with open(minfo.filepath, "br") as fp: 

    +

    5884 # NOTE 

    +

    5885 # mmap is too slow but maybe there are faster 

    +

    5886 # ways to use mmap correctly 

    +

    5887 # if minfo.use_mmap: 

    +

    5888 

    +

    5889 # # memory mapping can only be done page aligned 

    +

    5890 # mmap_start = (minfo.start // mmap.ALLOCATIONGRANULARITY) * \ 

    +

    5891 # mmap.ALLOCATIONGRANULARITY 

    +

    5892 # mview_start = minfo.start - mmap_start 

    +

    5893 

    +

    5894 # end = minfo.start + minfo.length 

    +

    5895 # n_end_pages = (end // mmap.ALLOCATIONGRANULARITY + 

    +

    5896 # (end % mmap.ALLOCATIONGRANULARITY != 0)) 

    +

    5897 # mmap_length = n_end_pages * mmap.ALLOCATIONGRANULARITY - mmap_start 

    +

    5898 # if mmap_start + mmap_length > minfo.filesize: 

    +

    5899 # mmap_length = minfo.filesize - mmap_start 

    +

    5900 

    +

    5901 # with mmap.mmap(fp.fileno(), 

    +

    5902 # length=mmap_length, 

    +

    5903 # offset=mmap_start, 

    +

    5904 # access=mmap.ACCESS_READ) as mp: 

    +

    5905 # # mp.seek(mview_start) 

    +

    5906 # # mview[total_offset:total_offset + 

    +

    5907 # # minfo.length] = mp.read(minfo.length) 

    +

    5908 

    +

    5909 # mview[total_offset:total_offset + 

    +

    5910 # minfo.length] = mp[mview_start:mview_start + minfo.length] 

    +

    5911 

    +

    5912 # else: 

    +

    5913 fp.seek(minfo.start) 

    +

    5914 fp.readinto(mview[total_offset : total_offset + minfo.length]) # type: ignore 

    +

    5915 

    +

    5916 total_offset += minfo.length 

    +

    5917 n_states += minfo.n_states 

    +

    5918 

    +

    5919 # save 

    +

    5920 bb_states = BinaryBuffer() 

    +

    5921 bb_states.memoryview = mview 

    +

    5922 

    +

    5923 return bb_states, n_states 

    +

    5924 

    +

    5925 def _read_state_bytebuffer(self, size_per_state: int): 

    +

    5926 """This routine reads the data for state information 

    +

    5927 

    +

    5928 Parameters 

    +

    5929 ---------- 

    +

    5930 size_per_state: int 

    +

    5931 size of every state to be read 

    +

    5932 

    +

    5933 Returns 

    +

    5934 ------- 

    +

    5935 bb_states: BinaryBuffer 

    +

    5936 New binary buffer with all states perfectly linear in memory 

    +

    5937 n_states: int 

    +

    5938 Number of states to be expected 

    +

    5939 

    +

    5940 Notes 

    +

    5941 ----- 

    +

    5942 State data is expected directly behind geometry data 

    +

    5943 Unfortunately data is spread across multiple files. 

    +

    5944 One file could contain geometry and state data but states 

    +

    5945 may also be littered accross several files. This would 

    +

    5946 not be an issue, if dyna would not always write in blocks 

    +

    5947 of 512 words of memory, leaving zero byte padding blocks 

    +

    5948 at the end of files. These need to be removed and/or taken 

    +

    5949 care of. 

    +

    5950 """ 

    +

    5951 

    +

    5952 if not self._buffer: 

    +

    5953 return BinaryBuffer(), 0 

    +

    5954 

    +

    5955 memory_infos = self._collect_file_infos(size_per_state) 

    +

    5956 

    +

    5957 # allocate memory 

    +

    5958 # bugfix: casting to int prevents int32 overflow for large files 

    +

    5959 memory_required = 0 

    +

    5960 for mem in memory_infos: 

    +

    5961 memory_required += int(mem.length) 

    +

    5962 mview = memoryview(bytearray(memory_required)) 

    +

    5963 

    +

    5964 # transfer memory from first file 

    +

    5965 n_states = memory_infos[0].n_states 

    +

    5966 start = memory_infos[0].start 

    +

    5967 length = memory_infos[0].length 

    +

    5968 end = start + length 

    +

    5969 mview[:length] = self._buffer.memoryview[start:end] 

    +

    5970 

    +

    5971 # transfer memory for other files 

    +

    5972 total_offset = length 

    +

    5973 for minfo in memory_infos[1:]: 

    +

    5974 with open(minfo.filepath, "br") as fp: 

    +

    5975 fp.seek(minfo.start) 

    +

    5976 fp.readinto(mview[total_offset : total_offset + length]) # type: ignore 

    +

    5977 

    +

    5978 total_offset += length 

    +

    5979 n_states += minfo.n_states 

    +

    5980 

    +

    5981 # save 

    +

    5982 bb_states = BinaryBuffer() 

    +

    5983 bb_states.memoryview = mview 

    +

    5984 return bb_states, n_states 

    +

    5985 

    +

    5986 @staticmethod 

    +

    5987 def _find_dyna_result_files(filepath: str): 

    +

    5988 """Searches all dyna result files 

    +

    5989 

    +

    5990 Parameters 

    +

    5991 ---------- 

    +

    5992 filepath: str 

    +

    5993 path to the first basic d3plot file 

    +

    5994 

    +

    5995 Returns 

    +

    5996 ------- 

    +

    5997 filepaths: list of str 

    +

    5998 path to all dyna files 

    +

    5999 

    +

    6000 Notes 

    +

    6001 ----- 

    +

    6002 The dyna files usually follow a scheme to 

    +

    6003 simply have the base name and numbers appended 

    +

    6004 e.g. (d3plot, d3plot0001, d3plot0002, etc.) 

    +

    6005 """ 

    +

    6006 

    +

    6007 file_dir = os.path.dirname(filepath) 

    +

    6008 file_dir = file_dir if len(file_dir) != 0 else "." 

    +

    6009 file_basename = os.path.basename(filepath) 

    +

    6010 

    +

    6011 pattern = f"({file_basename})[0-9]+$" 

    +

    6012 reg = re.compile(pattern) 

    +

    6013 

    +

    6014 filepaths = [ 

    +

    6015 os.path.join(file_dir, path) 

    +

    6016 for path in os.listdir(file_dir) 

    +

    6017 if os.path.isfile(os.path.join(file_dir, path)) and reg.match(path) 

    +

    6018 ] 

    +

    6019 

    +

    6020 # alphasort files to handle d3plots with more than 100 files 

    +

    6021 # e.g. d3plot01, d3plot02, ..., d3plot100 

    +

    6022 def convert(text): 

    +

    6023 return int(text) if text.isdigit() else text.lower() 

    +

    6024 

    +

    6025 number_pattern = "([0-9]+)" 

    +

    6026 

    +

    6027 def alphanum_key(key): 

    +

    6028 return [convert(c) for c in re.split(number_pattern, key)] 

    +

    6029 

    +

    6030 return sorted(filepaths, key=alphanum_key) 

    +

    6031 

    +

    6032 def _determine_wordsize(self): 

    +

    6033 """Determine the precision of the file 

    +

    6034 

    +

    6035 Returns 

    +

    6036 ------- 

    +

    6037 wordsize: int 

    +

    6038 size of each word in bytes 

    +

    6039 """ 

    +

    6040 

    +

    6041 if not self._buffer: 

    +

    6042 return 4, np.int32, np.float32 

    +

    6043 

    +

    6044 # test file type flag (1=d3plot, 5=d3part, 11=d3eigv) 

    +

    6045 

    +

    6046 # single precision 

    +

    6047 value = self._buffer.read_number(44, np.int32) 

    +

    6048 if value > 1000: 

    +

    6049 value -= 1000 

    +

    6050 if value in (1, 5, 11): 

    +

    6051 return 4, np.int32, np.float32 

    +

    6052 

    +

    6053 # double precision 

    +

    6054 value = self._buffer.read_number(88, np.int64) 

    +

    6055 if value > 1000: 

    +

    6056 value -= 1000 

    +

    6057 if value in (1, 5, 11): 

    +

    6058 return 8, np.int64, np.float64 

    +

    6059 

    +

    6060 raise RuntimeError(f"Unknown file type '{value}'.") 

    +

    6061 

    +

    6062 def plot( 

    +

    6063 self, 

    +

    6064 i_timestep: int = 0, 

    +

    6065 field: Union[np.ndarray, None] = None, 

    +

    6066 is_element_field: bool = True, 

    +

    6067 fringe_limits: Union[Tuple[float, float], None] = None, 

    +

    6068 export_filepath: str = "", 

    +

    6069 ): 

    +

    6070 """Plot the d3plot geometry 

    +

    6071 

    +

    6072 Parameters 

    +

    6073 ---------- 

    +

    6074 i_timestep: int 

    +

    6075 timestep index to plot 

    +

    6076 field: Union[np.ndarray, None] 

    +

    6077 Array containing a field value for every element or node 

    +

    6078 is_element_field: bool 

    +

    6079 if the specified field is for elements or nodes 

    +

    6080 fringe_limits: Union[Tuple[float, float], None] 

    +

    6081 limits for the fringe bar. Set by default to min and max. 

    +

    6082 export_filepath: str 

    +

    6083 filepath to export the html to 

    +

    6084 

    +

    6085 Notes 

    +

    6086 ----- 

    +

    6087 Currently only shell elements can be plotted, since for 

    +

    6088 solids the surface needs extraction. 

    +

    6089 

    +

    6090 Examples 

    +

    6091 -------- 

    +

    6092 Plot deformation of last timestep. 

    +

    6093 

    +

    6094 >>> d3plot = D3plot("path/to/d3plot") 

    +

    6095 >>> d3plot.plot(-1) 

    +

    6096 >>> # get eff. plastic strain 

    +

    6097 >>> pstrain = d3plot.arrays[ArrayType.element_shell_effective_plastic_strain] 

    +

    6098 >>> pstrain.shape 

    +

    6099 (1, 4696, 3) 

    +

    6100 >>> # mean across all 3 integration points 

    +

    6101 >>> pstrain = pstrain.mean(axis=2) 

    +

    6102 >>> pstrain.shape 

    +

    6103 (1, 4696) 

    +

    6104 >>> # we only have 1 timestep here but let's take last one in general 

    +

    6105 >>> last_timestep = -1 

    +

    6106 >>> d3plot.plot(0, field=pstrain[last_timestep]) 

    +

    6107 >>> # we don't like the fringe, let's adjust 

    +

    6108 >>> d3plot.plot(0, field=pstrain[last_timestep], fringe_limits=(0, 0.3)) 

    +

    6109 """ 

    +

    6110 

    +

    6111 assert i_timestep < self._state_info.n_timesteps 

    +

    6112 assert ArrayType.node_displacement in self.arrays 

    +

    6113 if fringe_limits: 

    +

    6114 assert len(fringe_limits) == 2 

    +

    6115 

    +

    6116 # shell nodes 

    +

    6117 shell_node_indexes = self.arrays[ArrayType.element_shell_node_indexes] 

    +

    6118 

    +

    6119 # get node displacement 

    +

    6120 node_xyz = self.arrays[ArrayType.node_displacement][i_timestep, :, :] 

    +

    6121 

    +

    6122 # check for correct field size 

    +

    6123 if isinstance(field, np.ndarray): 

    +

    6124 assert field.ndim == 1 

    +

    6125 if is_element_field and len(shell_node_indexes) != len(field): # type: ignore 

    +

    6126 msg = "Element indexes and field have different len: {} != {}" 

    +

    6127 raise ValueError(msg.format(shell_node_indexes.shape, field.shape)) 

    +

    6128 if not is_element_field and len(node_xyz) != len(field): # type: ignore 

    +

    6129 msg = "Node field and coords have different len: {} != {}" 

    +

    6130 raise ValueError(msg.format(node_xyz.shape, field.shape)) 

    +

    6131 

    +

    6132 # create plot 

    +

    6133 _html = plot_shell_mesh( 

    +

    6134 node_coordinates=node_xyz, 

    +

    6135 shell_node_indexes=shell_node_indexes, 

    +

    6136 field=field, 

    +

    6137 is_element_field=is_element_field, 

    +

    6138 fringe_limits=fringe_limits, 

    +

    6139 ) 

    +

    6140 

    +

    6141 # store in a temporary file 

    +

    6142 tempdir = tempfile.gettempdir() 

    +

    6143 tempdir = os.path.join(tempdir, "lasso") 

    +

    6144 if not os.path.isdir(tempdir): 

    +

    6145 os.mkdir(tempdir) 

    +

    6146 

    +

    6147 for tmpfile in os.listdir(tempdir): 

    +

    6148 tmpfile = os.path.join(tempdir, tmpfile) 

    +

    6149 if os.path.isfile(tmpfile): 

    +

    6150 os.remove(tmpfile) 

    +

    6151 

    +

    6152 if export_filepath: 

    +

    6153 with open(export_filepath, "w", encoding="utf-8") as fp: 

    +

    6154 fp.write(_html) 

    +

    6155 else: 

    +

    6156 # create new temp file 

    +

    6157 with tempfile.NamedTemporaryFile( 

    +

    6158 dir=tempdir, suffix=".html", mode="w", delete=False 

    +

    6159 ) as fp: 

    +

    6160 fp.write(_html) 

    +

    6161 webbrowser.open(fp.name) 

    +

    6162 

    +

    6163 def write_d3plot( 

    +

    6164 self, filepath: Union[str, BinaryIO], block_size_bytes: int = 2048, single_file: bool = True 

    +

    6165 ): 

    +

    6166 """Write a d3plot file again **(pro version only)** 

    +

    6167 

    +

    6168 Parameters 

    +

    6169 ---------- 

    +

    6170 filepath: Union[str, BinaryIO] 

    +

    6171 filepath of the new d3plot file or an opened file handle 

    +

    6172 block_size_bytes: int 

    +

    6173 D3plots are originally written in byte-blocks causing zero-padding at the end of 

    +

    6174 files. This can be controlled by this parameter. Set to 0 for no padding. 

    +

    6175 single_file: bool 

    +

    6176 whether to write all states into a single file 

    +

    6177 

    +

    6178 Examples 

    +

    6179 -------- 

    +

    6180 Modify an existing d3plot: 

    +

    6181 

    +

    6182 >>> d3plot = D3plot("path/to/d3plot") 

    +

    6183 >>> hvars = d3plot.array[ArrayType.element_shell_history_vars] 

    +

    6184 >>> hvars.shape 

    +

    6185 (1, 4696, 3, 19) 

    +

    6186 >>> new_history_var = np.random.random((1, 4696, 3, 1)) 

    +

    6187 >>> new_hvars = np.concatenate([hvars, new_history_var], axis=3) 

    +

    6188 >>> d3plot.array[ArrayType.element_shell_history_vars] = new_hvars 

    +

    6189 >>> d3plot.write_d3plot("path/to/new/d3plot") 

    +

    6190 

    +

    6191 Write a new d3plot from scratch: 

    +

    6192 

    +

    6193 >>> d3plot = D3plot() 

    +

    6194 >>> d3plot.arrays[ArrayType.node_coordinates] = np.array([[0, 0, 0], 

    +

    6195 ... [1, 0, 0], 

    +

    6196 ... [0, 1, 0]]) 

    +

    6197 >>> d3plot.arrays[ArrayType.element_shell_node_indexes] = np.array([[0, 2, 1, 1]]) 

    +

    6198 >>> d3plot.arrays[ArrayType.element_shell_part_indexes] = np.array([0]) 

    +

    6199 >>> d3plot.arrays[ArrayType.node_displacement] = np.array([[[0, 0, 0], 

    +

    6200 ... [1, 0, 0], 

    +

    6201 ... [0, 1, 0]]]) 

    +

    6202 >>> d3plot.write_d3plot("yay.d3plot") 

    +

    6203 

    +

    6204 Notes 

    +

    6205 ----- 

    +

    6206 This function is not available in the public version please contact 

    +

    6207 LASSO directly in case of further interest. 

    +

    6208 """ 

    +

    6209 

    +

    6210 # if there is a single buffer, write all in 

    +

    6211 if not isinstance(filepath, str): 

    +

    6212 single_file = True 

    +

    6213 

    +

    6214 # determine write settings 

    +

    6215 write_settings = D3plotWriterSettings(self, block_size_bytes, single_file) 

    +

    6216 write_settings.build_header() 

    +

    6217 

    +

    6218 # remove old files 

    +

    6219 if isinstance(filepath, str): 

    +

    6220 filepaths = D3plot._find_dyna_result_files(filepath) 

    +

    6221 for path in filepaths: 

    +

    6222 if os.path.isfile(path): 

    +

    6223 os.remove(path) 

    +

    6224 

    +

    6225 # write geometry file 

    +

    6226 with open_file_or_filepath(filepath, "wb") as fp: 

    +

    6227 

    +

    6228 n_bytes_written = 0 

    +

    6229 msg = "wrote {0} after {1}." 

    +

    6230 

    +

    6231 # header 

    +

    6232 n_bytes_written += self._write_header(fp, write_settings) 

    +

    6233 LOGGER.debug(msg, n_bytes_written, "_write_header") 

    +

    6234 

    +

    6235 # material section 

    +

    6236 n_bytes_written += self._write_geom_material_section(fp, write_settings) 

    +

    6237 LOGGER.debug(msg, n_bytes_written, "_write_geom_material_section") 

    +

    6238 

    +

    6239 # fluid material data 

    +

    6240 n_bytes_written += self._write_geom_fluid_material_header(fp, write_settings) 

    +

    6241 LOGGER.debug(msg, n_bytes_written, "_write_geom_fluid_material_header") 

    +

    6242 

    +

    6243 # SPH element data flags 

    +

    6244 n_bytes_written += self._write_geom_sph_element_data_flags(fp, write_settings) 

    +

    6245 LOGGER.debug(msg, n_bytes_written, "_write_geom_sph_element_data_flags") 

    +

    6246 

    +

    6247 # Particle Data 

    +

    6248 n_bytes_written += self._write_geom_particle_flags(fp, write_settings) 

    +

    6249 LOGGER.debug(msg, n_bytes_written, "_write_geom_particle_flags") 

    +

    6250 

    +

    6251 # Geometry Data 

    +

    6252 n_bytes_written += self._write_geometry(fp, write_settings) 

    +

    6253 LOGGER.debug(msg, n_bytes_written, "_write_geometry") 

    +

    6254 

    +

    6255 # User Material, Node, Blabla IDs 

    +

    6256 n_bytes_written += self._write_geom_user_ids(fp, write_settings) 

    +

    6257 LOGGER.debug(msg, n_bytes_written, "_write_geom_user_ids") 

    +

    6258 

    +

    6259 # Rigid Body Description 

    +

    6260 n_bytes_written += self._write_geom_rigid_body_description(fp, write_settings) 

    +

    6261 LOGGER.debug(msg, n_bytes_written, "_write_geom_rigid_body_description") 

    +

    6262 

    +

    6263 # Adapted Element Parent List 

    +

    6264 # not supported 

    +

    6265 

    +

    6266 # Smooth Particle Hydrodynamcis Node and Material list 

    +

    6267 n_bytes_written += self._write_geom_sph_node_and_materials(fp, write_settings) 

    +

    6268 LOGGER.debug(msg, n_bytes_written, "_write_geom_sph_node_and_materials") 

    +

    6269 

    +

    6270 # Particle Geometry Data 

    +

    6271 n_bytes_written += self._write_geom_particle_geometry_data(fp, write_settings) 

    +

    6272 LOGGER.debug(msg, n_bytes_written, "_write_geom_particle_geometry_data") 

    +

    6273 

    +

    6274 # Rigid Road Surface Data 

    +

    6275 n_bytes_written += self._write_geom_rigid_road_surface(fp, write_settings) 

    +

    6276 LOGGER.debug(msg, n_bytes_written, "_write_geom_rigid_road_surface") 

    +

    6277 

    +

    6278 # Connectivity for weirdo elements 

    +

    6279 # 10 Node Tetra 

    +

    6280 # 8 Node Shell 

    +

    6281 # 20 Node Solid 

    +

    6282 # 27 Node Solid 

    +

    6283 n_bytes_written += self._write_geom_extra_node_data(fp, write_settings) 

    +

    6284 LOGGER.debug(msg, n_bytes_written, "_write_geom_extra_node_data") 

    +

    6285 

    +

    6286 # end mark 

    +

    6287 n_bytes_written += fp.write(write_settings.pack(-999999.0)) 

    +

    6288 LOGGER.debug(msg, n_bytes_written, "_end_mark") 

    +

    6289 

    +

    6290 # Header Part & Contact Interface Titles 

    +

    6291 n_bytes_written_before_titles = n_bytes_written 

    +

    6292 n_bytes_written += self._write_header_part_contact_interface_titles(fp, write_settings) 

    +

    6293 LOGGER.debug(msg, n_bytes_written, "_write_header_part_contact_interface_titles") 

    +

    6294 

    +

    6295 if n_bytes_written_before_titles != n_bytes_written: 

    +

    6296 

    +

    6297 # we seal the file here with an endmark 

    +

    6298 n_bytes_written += fp.write(write_settings.pack(-999999.0)) 

    +

    6299 LOGGER.debug(msg, n_bytes_written, "_end_mark") 

    +

    6300 else: 

    +

    6301 pass 

    +

    6302 # we already set an end-mark before 

    +

    6303 # that is perfectly fine 

    +

    6304 

    +

    6305 # correct zero padding at the end 

    +

    6306 if block_size_bytes > 0: 

    +

    6307 zero_bytes = self._get_zero_byte_padding(n_bytes_written, block_size_bytes) 

    +

    6308 n_bytes_written += fp.write(zero_bytes) 

    +

    6309 LOGGER.debug(msg, n_bytes_written, "_zero_byte_padding") 

    +

    6310 

    +

    6311 msg = "Wrote {0} bytes to geometry file." 

    +

    6312 LOGGER.debug(msg, n_bytes_written) 

    +

    6313 

    +

    6314 # Extra Data Types (for multi solver output) 

    +

    6315 # not supported 

    +

    6316 

    +

    6317 # write states 

    +

    6318 self._write_states(filepath, write_settings) 

    +

    6319 

    +

    6320 def _write_header(self, fp: typing.IO[Any], settings: D3plotWriterSettings) -> int: 

    +

    6321 

    +

    6322 wordsize = settings.wordsize 

    +

    6323 

    +

    6324 header_words = { 

    +

    6325 "title": (0 * wordsize, 10 * wordsize), 

    +

    6326 "runtime": (10 * wordsize, wordsize), 

    +

    6327 "filetype": (11 * wordsize, wordsize), 

    +

    6328 "source_version": (12 * wordsize, wordsize), 

    +

    6329 "release_version": (13 * wordsize, wordsize), 

    +

    6330 "version": (14 * wordsize, wordsize), 

    +

    6331 "ndim": (15 * wordsize, wordsize), 

    +

    6332 "numnp": (16 * wordsize, wordsize), 

    +

    6333 "icode": (17 * wordsize, wordsize), 

    +

    6334 "nglbv": (18 * wordsize, wordsize), 

    +

    6335 "it": (19 * wordsize, wordsize), 

    +

    6336 "iu": (20 * wordsize, wordsize), 

    +

    6337 "iv": (21 * wordsize, wordsize), 

    +

    6338 "ia": (22 * wordsize, wordsize), 

    +

    6339 "nel8": (23 * wordsize, wordsize), 

    +

    6340 "nummat8": (24 * wordsize, wordsize), 

    +

    6341 "numds": (25 * wordsize, wordsize), 

    +

    6342 "numst": (26 * wordsize, wordsize), 

    +

    6343 "nv3d": (27 * wordsize, wordsize), 

    +

    6344 "nel2": (28 * wordsize, wordsize), 

    +

    6345 "nummat2": (29 * wordsize, wordsize), 

    +

    6346 "nv1d": (30 * wordsize, wordsize), 

    +

    6347 "nel4": (31 * wordsize, wordsize), 

    +

    6348 "nummat4": (32 * wordsize, wordsize), 

    +

    6349 "nv2d": (33 * wordsize, wordsize), 

    +

    6350 "neiph": (34 * wordsize, wordsize), 

    +

    6351 "neips": (35 * wordsize, wordsize), 

    +

    6352 "maxint": (36 * wordsize, wordsize), 

    +

    6353 "nmsph": (37 * wordsize, wordsize), 

    +

    6354 "ngpsph": (38 * wordsize, wordsize), 

    +

    6355 "narbs": (39 * wordsize, wordsize), 

    +

    6356 "nelth": (40 * wordsize, wordsize), 

    +

    6357 "nummatt": (41 * wordsize, wordsize), 

    +

    6358 "nv3dt": (42 * wordsize, wordsize), 

    +

    6359 "ioshl1": (43 * wordsize, wordsize), 

    +

    6360 "ioshl2": (44 * wordsize, wordsize), 

    +

    6361 "ioshl3": (45 * wordsize, wordsize), 

    +

    6362 "ioshl4": (46 * wordsize, wordsize), 

    +

    6363 "ialemat": (47 * wordsize, wordsize), 

    +

    6364 "ncfdv1": (48 * wordsize, wordsize), 

    +

    6365 "ncfdv2": (49 * wordsize, wordsize), 

    +

    6366 # "nadapt": (50*wordsize, wordsize), 

    +

    6367 "nmmat": (51 * wordsize, wordsize), 

    +

    6368 "numfluid": (52 * wordsize, wordsize), 

    +

    6369 "inn": (53 * wordsize, wordsize), 

    +

    6370 "npefg": (54 * wordsize, wordsize), 

    +

    6371 "nel48": (55 * wordsize, wordsize), 

    +

    6372 "idtdt": (56 * wordsize, wordsize), 

    +

    6373 "extra": (57 * wordsize, wordsize), 

    +

    6374 } 

    +

    6375 

    +

    6376 header_extra_words = { 

    +

    6377 "nel20": (64 * wordsize, wordsize), 

    +

    6378 "nt3d": (65 * wordsize, wordsize), 

    +

    6379 "nel27": (66 * wordsize, wordsize), 

    +

    6380 "neipb": (67 * wordsize, wordsize), 

    +

    6381 } 

    +

    6382 

    +

    6383 new_header = settings.header 

    +

    6384 

    +

    6385 barray = bytearray((64 + new_header["extra"]) * wordsize) 

    +

    6386 

    +

    6387 for name, (position, size) in header_words.items(): 

    +

    6388 barray[position : position + size] = settings.pack(new_header[name], size) 

    +

    6389 

    +

    6390 if new_header["extra"] > 0: 

    +

    6391 for name, (position, size) in header_extra_words.items(): 

    +

    6392 barray[position : position + size] = settings.pack(new_header[name], size) 

    +

    6393 

    +

    6394 n_bytes_written = fp.write(barray) 

    +

    6395 

    +

    6396 # check 

    +

    6397 n_bytes_expected = (64 + new_header["extra"]) * settings.wordsize 

    +

    6398 D3plot._compare_n_bytes_checksum(n_bytes_written, n_bytes_expected) 

    +

    6399 

    +

    6400 return n_bytes_written 

    +

    6401 

    +

    6402 def _write_geom_material_section( 

    +

    6403 self, fp: typing.IO[Any], settings: D3plotWriterSettings 

    +

    6404 ) -> int: 

    +

    6405 

    +

    6406 if settings.mattyp <= 0: 

    +

    6407 return 0 

    +

    6408 

    +

    6409 _check_ndim(self, {ArrayType.part_material_type: ["n_parts"]}) 

    +

    6410 

    +

    6411 part_material_type_original = self.arrays[ArrayType.part_material_type] 

    +

    6412 # part_material_type = np.full(settings.header["nmmat"], -1, 

    +

    6413 # dtype=settings.itype) 

    +

    6414 

    +

    6415 # if ArrayType.element_solid_part_indexes in self.arrays: 

    +

    6416 # unique_part_indexes = settings.unique_solid_part_indexes 

    +

    6417 # part_material_type[unique_part_indexes] = \ 

    +

    6418 # part_material_type_original[unique_part_indexes] 

    +

    6419 # if ArrayType.element_beam_part_indexes in self.arrays: 

    +

    6420 # unique_part_indexes = settings.unique_beam_part_indexes 

    +

    6421 # part_material_type[unique_part_indexes] = \ 

    +

    6422 # part_material_type_original[unique_part_indexes] 

    +

    6423 # if ArrayType.element_shell_part_indexes in self.arrays: 

    +

    6424 # unique_part_indexes = settings.unique_shell_part_indexes 

    +

    6425 # part_material_type[unique_part_indexes] = \ 

    +

    6426 # part_material_type_original[unique_part_indexes] 

    +

    6427 # if ArrayType.element_tshell_part_indexes in self.arrays: 

    +

    6428 # unique_part_indexes = settings.unique_tshell_part_indexes 

    +

    6429 # part_material_type[unique_part_indexes] = \ 

    +

    6430 # part_material_type_original[unique_part_indexes] 

    +

    6431 

    +

    6432 numrbe = settings.n_rigid_shells 

    +

    6433 

    +

    6434 n_bytes_written = 0 

    +

    6435 n_bytes_written += fp.write(settings.pack(numrbe)) 

    +

    6436 n_bytes_written += fp.write(settings.pack(len(part_material_type_original))) 

    +

    6437 n_bytes_written += fp.write(settings.pack(part_material_type_original)) 

    +

    6438 

    +

    6439 # check 

    +

    6440 n_bytes_expected = (len(part_material_type_original) + 2) * settings.wordsize 

    +

    6441 D3plot._compare_n_bytes_checksum(n_bytes_written, n_bytes_expected) 

    +

    6442 

    +

    6443 return n_bytes_written 

    +

    6444 

    +

    6445 def _write_geom_fluid_material_header( 

    +

    6446 self, fp: typing.IO[Any], settings: D3plotWriterSettings 

    +

    6447 ) -> int: 

    +

    6448 

    +

    6449 if settings.header["ialemat"] == 0: 

    +

    6450 return 0 

    +

    6451 

    +

    6452 _check_ndim(self, {ArrayType.ale_material_ids: ["n_ale_parts"]}) 

    +

    6453 

    +

    6454 array = self.arrays[ArrayType.ale_material_ids] 

    +

    6455 n_bytes_written = fp.write(settings.pack(array, dtype_hint=np.integer)) 

    +

    6456 

    +

    6457 # check 

    +

    6458 n_bytes_expected = settings.header["ialemat"] * settings.wordsize 

    +

    6459 D3plot._compare_n_bytes_checksum(n_bytes_written, n_bytes_expected) 

    +

    6460 

    +

    6461 return n_bytes_written 

    +

    6462 

    +

    6463 def _write_geom_sph_element_data_flags( 

    +

    6464 self, fp: typing.IO[Any], settings: D3plotWriterSettings 

    +

    6465 ) -> int: 

    +

    6466 

    +

    6467 if settings.header["nmsph"] <= 0: 

    +

    6468 return 0 

    +

    6469 

    +

    6470 n_sph_var_count = 0 

    +

    6471 

    +

    6472 # radius 

    +

    6473 n_sph_radius_vars = 1 if ArrayType.sph_radius in self.arrays else 0 

    +

    6474 n_sph_var_count += n_sph_radius_vars 

    +

    6475 

    +

    6476 # pressure 

    +

    6477 n_sph_pressure_vars = 1 if ArrayType.sph_pressure in self.arrays else 0 

    +

    6478 n_sph_var_count += n_sph_pressure_vars 

    +

    6479 

    +

    6480 # stress 

    +

    6481 n_sph_stress_vars = 6 if ArrayType.sph_stress in self.arrays else 0 

    +

    6482 n_sph_var_count += n_sph_stress_vars 

    +

    6483 

    +

    6484 # eff pstrain 

    +

    6485 n_sph_eff_pstrain_vars = 1 if ArrayType.sph_effective_plastic_strain in self.arrays else 0 

    +

    6486 n_sph_var_count += n_sph_eff_pstrain_vars 

    +

    6487 

    +

    6488 # density 

    +

    6489 n_sph_density_vars = 1 if ArrayType.sph_density in self.arrays else 0 

    +

    6490 n_sph_var_count += n_sph_density_vars 

    +

    6491 

    +

    6492 # internal energy 

    +

    6493 n_sph_internal_energy_vars = 1 if ArrayType.sph_internal_energy in self.arrays else 0 

    +

    6494 n_sph_var_count += n_sph_internal_energy_vars 

    +

    6495 

    +

    6496 # n neighbors 

    +

    6497 n_sph_n_neighbors_vars = 1 if ArrayType.sph_n_neighbors in self.arrays else 0 

    +

    6498 n_sph_var_count += n_sph_n_neighbors_vars 

    +

    6499 

    +

    6500 # strains 

    +

    6501 n_sph_strain_vars = 6 if ArrayType.sph_strain in self.arrays else 0 

    +

    6502 n_sph_var_count += n_sph_strain_vars 

    +

    6503 

    +

    6504 # mass 

    +

    6505 n_sph_mass_vars = 1 if ArrayType.sph_mass in self.arrays else 0 

    +

    6506 n_sph_var_count += n_sph_mass_vars 

    +

    6507 

    +

    6508 # history vars 

    +

    6509 n_sph_history_vars = 0 

    +

    6510 if ArrayType.sph_history_vars in self.arrays: 

    +

    6511 n_sph_history_vars, _ = settings.count_array_state_var( 

    +

    6512 ArrayType.sph_history_vars, 

    +

    6513 ["n_timesteps", "n_sph_particles", "n_sph_history_vars"], 

    +

    6514 False, 

    +

    6515 ) 

    +

    6516 n_sph_var_count += n_sph_history_vars 

    +

    6517 

    +

    6518 # write 

    +

    6519 n_bytes_written = 0 

    +

    6520 n_bytes_written += fp.write(settings.pack(n_sph_var_count)) 

    +

    6521 n_bytes_written += fp.write(settings.pack(n_sph_radius_vars)) 

    +

    6522 n_bytes_written += fp.write(settings.pack(n_sph_pressure_vars)) 

    +

    6523 n_bytes_written += fp.write(settings.pack(n_sph_stress_vars)) 

    +

    6524 n_bytes_written += fp.write(settings.pack(n_sph_eff_pstrain_vars)) 

    +

    6525 n_bytes_written += fp.write(settings.pack(n_sph_density_vars)) 

    +

    6526 n_bytes_written += fp.write(settings.pack(n_sph_internal_energy_vars)) 

    +

    6527 n_bytes_written += fp.write(settings.pack(n_sph_n_neighbors_vars)) 

    +

    6528 n_bytes_written += fp.write(settings.pack(n_sph_strain_vars)) 

    +

    6529 n_bytes_written += fp.write(settings.pack(n_sph_mass_vars)) 

    +

    6530 n_bytes_written += fp.write(settings.pack(n_sph_history_vars)) 

    +

    6531 

    +

    6532 # check 

    +

    6533 n_bytes_expected = 11 * settings.wordsize 

    +

    6534 D3plot._compare_n_bytes_checksum(n_bytes_written, n_bytes_expected) 

    +

    6535 

    +

    6536 return n_bytes_written 

    +

    6537 

    +

    6538 def _write_geom_particle_flags(self, fp: typing.IO[Any], settings: D3plotWriterSettings) -> int: 

    +

    6539 

    +

    6540 npefg = settings.header["npefg"] 

    +

    6541 

    +

    6542 if npefg <= 0 or npefg > 10000000: 

    +

    6543 return 0 

    +

    6544 

    +

    6545 _check_ndim( 

    +

    6546 self, 

    +

    6547 { 

    +

    6548 ArrayType.airbags_n_particles: ["n_airbags"], 

    +

    6549 ArrayType.airbags_n_chambers: ["n_airbags"], 

    +

    6550 }, 

    +

    6551 ) 

    +

    6552 

    +

    6553 # n_airbags = npefg % 1000 

    +

    6554 subver = npefg // 1000 

    +

    6555 

    +

    6556 # airbag geometry var count 

    +

    6557 ngeom = 5 if ArrayType.airbags_n_chambers in self.arrays else 4 

    +

    6558 

    +

    6559 # state variable count 

    +

    6560 # see later 

    +

    6561 nvar = 14 

    +

    6562 

    +

    6563 # n particles 

    +

    6564 n_particles = 0 

    +

    6565 if ArrayType.airbags_n_particles in self.arrays: 

    +

    6566 n_particles = np.sum(self.arrays[ArrayType.airbags_n_particles]) 

    +

    6567 

    +

    6568 # airbag state var count 

    +

    6569 nstgeom = 2 

    +

    6570 

    +

    6571 # write 

    +

    6572 n_bytes_written = 0 

    +

    6573 n_bytes_written += fp.write(settings.pack(ngeom)) 

    +

    6574 n_bytes_written += fp.write(settings.pack(nvar)) 

    +

    6575 n_bytes_written += fp.write(settings.pack(n_particles)) 

    +

    6576 n_bytes_written += fp.write(settings.pack(nstgeom)) 

    +

    6577 if subver == 4: 

    +

    6578 # This was never validated 

    +

    6579 n_bytes_written += fp.write( 

    +

    6580 settings.pack(self.arrays[ArrayType.airbags_n_chambers].sum()) 

    +

    6581 ) 

    +

    6582 

    +

    6583 # check 

    +

    6584 n_bytes_expected = (5 if subver == 4 else 4) * settings.wordsize 

    +

    6585 D3plot._compare_n_bytes_checksum(n_bytes_written, n_bytes_expected) 

    +

    6586 

    +

    6587 # typecode for variables 

    +

    6588 # pylint: disable = invalid-name 

    +

    6589 INT_TC = 1 

    +

    6590 # pylint: disable = invalid-name 

    +

    6591 FLOAT_TC = 2 

    +

    6592 nlist_names_typecodes = [ 

    +

    6593 # airbag geometry data (ngeom) 

    +

    6594 ["Start N ", INT_TC], 

    +

    6595 ["Npart ", INT_TC], 

    +

    6596 ["Bag ID ", INT_TC], 

    +

    6597 ["NGasC ", INT_TC], 

    +

    6598 ["NCham ", INT_TC], 

    +

    6599 # state particle data (nvar) 

    +

    6600 ["GasC ID ", INT_TC], 

    +

    6601 ["Cham ID ", INT_TC], 

    +

    6602 ["Leakage ", INT_TC], 

    +

    6603 ["Pos x ", FLOAT_TC], 

    +

    6604 ["Pos y ", FLOAT_TC], 

    +

    6605 ["Pos z ", FLOAT_TC], 

    +

    6606 ["Vel x ", FLOAT_TC], 

    +

    6607 ["Vel y ", FLOAT_TC], 

    +

    6608 ["Vel z ", FLOAT_TC], 

    +

    6609 ["Mass ", FLOAT_TC], 

    +

    6610 ["Radius ", FLOAT_TC], 

    +

    6611 ["Spin En ", FLOAT_TC], 

    +

    6612 ["Tran En ", FLOAT_TC], 

    +

    6613 ["NS dist ", FLOAT_TC], 

    +

    6614 # airbag state vars (nstgeom) 

    +

    6615 ["Act Gas ", INT_TC], 

    +

    6616 ["Bag Vol ", FLOAT_TC], 

    +

    6617 ] 

    +

    6618 

    +

    6619 # airbag var typecodes 

    +

    6620 for _, typecode in nlist_names_typecodes: 

    +

    6621 n_bytes_written += fp.write(settings.pack(typecode)) 

    +

    6622 

    +

    6623 # airbag var names 

    +

    6624 # every word is an ascii char. So, we need to set 

    +

    6625 # only the first byte to the ascii char code 

    +

    6626 fmt_string = "{0:" + str(settings.wordsize) + "}" 

    +

    6627 for name, _ in nlist_names_typecodes: 

    +

    6628 name_formatted = fmt_string.format(name).encode("ascii") 

    +

    6629 for ch in name_formatted: 

    +

    6630 barray = bytearray(settings.wordsize) 

    +

    6631 barray[0] = ch 

    +

    6632 

    +

    6633 n_bytes_written += fp.write(settings.pack(barray, settings.wordsize)) 

    +

    6634 

    +

    6635 # check 

    +

    6636 n_bytes_expected += len(nlist_names_typecodes) * 9 * settings.wordsize 

    +

    6637 D3plot._compare_n_bytes_checksum(n_bytes_written, n_bytes_expected) 

    +

    6638 

    +

    6639 return n_bytes_written 

    +

    6640 

    +

    6641 def _write_geometry(self, fp: typing.IO[Any], settings: D3plotWriterSettings) -> int: 

    +

    6642 

    +

    6643 n_bytes_written = 0 

    +

    6644 

    +

    6645 # pre-checks 

    +

    6646 _check_ndim( 

    +

    6647 self, 

    +

    6648 { 

    +

    6649 ArrayType.node_coordinates: ["n_nodes", "x_y_z"], 

    +

    6650 ArrayType.element_solid_node_indexes: ["n_solids", "n_element_nodes"], 

    +

    6651 ArrayType.element_solid_part_indexes: ["n_solids"], 

    +

    6652 ArrayType.element_solid_extra_nodes: ["n_solids", "n_extra_nodes"], 

    +

    6653 ArrayType.element_tshell_node_indexes: ["n_tshells", "n_element_nodes"], 

    +

    6654 ArrayType.element_tshell_part_indexes: ["n_tshells"], 

    +

    6655 ArrayType.element_beam_node_indexes: ["n_beams", "n_element_nodes"], 

    +

    6656 ArrayType.element_beam_part_indexes: ["n_beams"], 

    +

    6657 ArrayType.element_shell_node_indexes: ["n_shells", "n_element_nodes"], 

    +

    6658 ArrayType.element_shell_part_indexes: ["n_shells"], 

    +

    6659 }, 

    +

    6660 ) 

    +

    6661 self.check_array_dims({ArrayType.node_coordinates: 1}, "x_y_z", 3) 

    +

    6662 

    +

    6663 array_dims = { 

    +

    6664 ArrayType.element_solid_node_indexes: 0, 

    +

    6665 ArrayType.element_solid_part_indexes: 0, 

    +

    6666 ArrayType.element_solid_extra_nodes: 0, 

    +

    6667 } 

    +

    6668 n_solids = self.check_array_dims(array_dims, "n_solids") 

    +

    6669 self.check_array_dims({ArrayType.element_solid_node_indexes: 1}, "n_element_nodes", 8) 

    +

    6670 self.check_array_dims({ArrayType.element_solid_extra_nodes: 1}, "n_extra_nodes", 2) 

    +

    6671 array_dims = { 

    +

    6672 ArrayType.element_tshell_node_indexes: 0, 

    +

    6673 ArrayType.element_tshell_part_indexes: 0, 

    +

    6674 } 

    +

    6675 self.check_array_dims(array_dims, "n_tshells") 

    +

    6676 self.check_array_dims({ArrayType.element_tshell_node_indexes: 1}, "n_element_nodes", 8) 

    +

    6677 array_dims = { 

    +

    6678 ArrayType.element_beam_node_indexes: 0, 

    +

    6679 ArrayType.element_beam_part_indexes: 0, 

    +

    6680 } 

    +

    6681 self.check_array_dims(array_dims, "n_beams") 

    +

    6682 self.check_array_dims({ArrayType.element_beam_node_indexes: 1}, "n_element_nodes", 5) 

    +

    6683 array_dims = { 

    +

    6684 ArrayType.element_shell_node_indexes: 0, 

    +

    6685 ArrayType.element_shell_part_indexes: 0, 

    +

    6686 } 

    +

    6687 self.check_array_dims(array_dims, "n_shells") 

    +

    6688 self.check_array_dims({ArrayType.element_shell_node_indexes: 1}, "n_element_nodes", 4) 

    +

    6689 

    +

    6690 # NODES 

    +

    6691 node_coordinates = ( 

    +

    6692 self.arrays[ArrayType.node_coordinates] 

    +

    6693 if ArrayType.node_coordinates in self.arrays 

    +

    6694 else np.zeros((0, settings.header["ndim"]), dtype=self.header.ftype) 

    +

    6695 ) 

    +

    6696 n_bytes_written += fp.write(settings.pack(node_coordinates, dtype_hint=np.floating)) 

    +

    6697 

    +

    6698 # SOLIDS 

    +

    6699 solid_node_indexes = ( 

    +

    6700 self.arrays[ArrayType.element_solid_node_indexes] + FORTRAN_OFFSET 

    +

    6701 if ArrayType.element_solid_node_indexes in self.arrays 

    +

    6702 else np.zeros((0, 8), dtype=self._header.itype) 

    +

    6703 ) 

    +

    6704 solid_part_indexes = ( 

    +

    6705 self.arrays[ArrayType.element_solid_part_indexes] + FORTRAN_OFFSET 

    +

    6706 if ArrayType.element_solid_part_indexes in self.arrays 

    +

    6707 else np.zeros(0, dtype=self._header.itype) 

    +

    6708 ) 

    +

    6709 solid_geom_array = np.concatenate( 

    +

    6710 (solid_node_indexes, solid_part_indexes.reshape(n_solids, 1)), axis=1 

    +

    6711 ) 

    +

    6712 n_bytes_written += fp.write(settings.pack(solid_geom_array, dtype_hint=np.integer)) 

    +

    6713 

    +

    6714 # SOLID 10 

    +

    6715 # the two extra nodes 

    +

    6716 if ArrayType.element_solid_extra_nodes in self.arrays: 

    +

    6717 array = self.arrays[ArrayType.element_solid_extra_nodes] + FORTRAN_OFFSET 

    +

    6718 n_bytes_written += fp.write(settings.pack(array, dtype_hint=np.integer)) 

    +

    6719 

    +

    6720 # THICK SHELLS 

    +

    6721 tshell_node_indexes = ( 

    +

    6722 self.arrays[ArrayType.element_tshell_node_indexes] + FORTRAN_OFFSET 

    +

    6723 if ArrayType.element_tshell_node_indexes in self.arrays 

    +

    6724 else np.zeros((0, 8), dtype=self._header.itype) 

    +

    6725 ) 

    +

    6726 tshell_part_indexes = ( 

    +

    6727 self.arrays[ArrayType.element_tshell_part_indexes] + FORTRAN_OFFSET 

    +

    6728 if ArrayType.element_tshell_part_indexes in self.arrays 

    +

    6729 else np.zeros(0, dtype=self._header.itype) 

    +

    6730 ) 

    +

    6731 tshell_geom_array = np.concatenate( 

    +

    6732 (tshell_node_indexes, tshell_part_indexes.reshape(-1, 1)), axis=1 

    +

    6733 ) 

    +

    6734 n_bytes_written += fp.write(settings.pack(tshell_geom_array, dtype_hint=np.integer)) 

    +

    6735 

    +

    6736 # BEAMS 

    +

    6737 beam_node_indexes = ( 

    +

    6738 self.arrays[ArrayType.element_beam_node_indexes] + FORTRAN_OFFSET 

    +

    6739 if ArrayType.element_beam_node_indexes in self.arrays 

    +

    6740 else np.zeros((0, 5), dtype=self._header.itype) 

    +

    6741 ) 

    +

    6742 beam_part_indexes = ( 

    +

    6743 self.arrays[ArrayType.element_beam_part_indexes] + FORTRAN_OFFSET 

    +

    6744 if ArrayType.element_beam_part_indexes in self.arrays 

    +

    6745 else np.zeros(0, dtype=self._header.itype) 

    +

    6746 ) 

    +

    6747 beam_geom_array = np.concatenate( 

    +

    6748 (beam_node_indexes, beam_part_indexes.reshape(-1, 1)), axis=1 

    +

    6749 ) 

    +

    6750 n_bytes_written += fp.write(settings.pack(beam_geom_array, dtype_hint=np.integer)) 

    +

    6751 

    +

    6752 # SHELLS 

    +

    6753 shell_node_indexes = ( 

    +

    6754 self.arrays[ArrayType.element_shell_node_indexes] + FORTRAN_OFFSET 

    +

    6755 if ArrayType.element_shell_node_indexes in self.arrays 

    +

    6756 else np.zeros((0, 4), dtype=self._header.itype) 

    +

    6757 ) 

    +

    6758 shell_part_indexes = ( 

    +

    6759 self.arrays[ArrayType.element_shell_part_indexes] + FORTRAN_OFFSET 

    +

    6760 if ArrayType.element_shell_part_indexes in self.arrays 

    +

    6761 else np.zeros(0, dtype=self._header.itype) 

    +

    6762 ) 

    +

    6763 shell_geom_array = np.concatenate( 

    +

    6764 (shell_node_indexes, shell_part_indexes.reshape(-1, 1)), axis=1 

    +

    6765 ) 

    +

    6766 n_bytes_written += fp.write(settings.pack(shell_geom_array, dtype_hint=np.integer)) 

    +

    6767 

    +

    6768 # check 

    +

    6769 n_bytes_expected = ( 

    +

    6770 settings.header["numnp"] * 3 

    +

    6771 + abs(settings.header["nel8"]) * 9 

    +

    6772 + settings.header["nelth"] * 9 

    +

    6773 + settings.header["nel2"] * 6 

    +

    6774 + settings.header["nel4"] * 5 

    +

    6775 ) * settings.wordsize 

    +

    6776 if ArrayType.element_solid_extra_nodes in self.arrays: 

    +

    6777 n_bytes_expected += 2 * abs(settings.header["nel8"]) 

    +

    6778 D3plot._compare_n_bytes_checksum(n_bytes_written, n_bytes_expected) 

    +

    6779 

    +

    6780 # return the chunks 

    +

    6781 return n_bytes_written 

    +

    6782 

    +

    6783 def _write_geom_user_ids(self, fp: typing.IO[Any], settings: D3plotWriterSettings) -> int: 

    +

    6784 

    +

    6785 narbs = settings.header["narbs"] 

    +

    6786 if narbs == 0: 

    +

    6787 return 0 

    +

    6788 

    +

    6789 info = self._numbering_info 

    +

    6790 

    +

    6791 _check_ndim( 

    +

    6792 self, 

    +

    6793 { 

    +

    6794 ArrayType.node_ids: ["n_nodes"], 

    +

    6795 ArrayType.element_solid_ids: ["n_solids"], 

    +

    6796 ArrayType.element_beam_ids: ["n_beams"], 

    +

    6797 ArrayType.element_shell_ids: ["n_shells"], 

    +

    6798 ArrayType.element_tshell_ids: ["n_tshells"], 

    +

    6799 ArrayType.part_ids: ["n_parts"], 

    +

    6800 ArrayType.part_ids_unordered: ["n_parts"], 

    +

    6801 ArrayType.part_ids_cross_references: ["n_parts"], 

    +

    6802 }, 

    +

    6803 ) 

    +

    6804 

    +

    6805 n_bytes_written = 0 

    +

    6806 

    +

    6807 # NUMBERING HEADER 

    +

    6808 

    +

    6809 # nsort seems to be solver internal pointer 

    +

    6810 # ... hopefully 

    +

    6811 nsort = info.ptr_node_ids 

    +

    6812 nsort *= -1 if ArrayType.part_ids in self.arrays else 1 

    +

    6813 

    +

    6814 n_bytes_written += fp.write(settings.pack(nsort)) 

    +

    6815 

    +

    6816 nsrh = abs(nsort) + settings.header["numnp"] 

    +

    6817 n_bytes_written += fp.write(settings.pack(nsrh)) 

    +

    6818 

    +

    6819 nsrb = nsrh + abs(settings.header["nel8"]) 

    +

    6820 n_bytes_written += fp.write(settings.pack(nsrb)) 

    +

    6821 

    +

    6822 nsrs = nsrb + settings.header["nel2"] 

    +

    6823 n_bytes_written += fp.write(settings.pack(nsrs)) 

    +

    6824 

    +

    6825 nsrt = nsrs + settings.header["nel4"] 

    +

    6826 n_bytes_written += fp.write(settings.pack(nsrt)) 

    +

    6827 

    +

    6828 nsortd = settings.header["numnp"] 

    +

    6829 n_bytes_written += fp.write(settings.pack(nsortd)) 

    +

    6830 

    +

    6831 nsrhd = abs(settings.header["nel8"]) 

    +

    6832 n_bytes_written += fp.write(settings.pack(nsrhd)) 

    +

    6833 

    +

    6834 nsrbd = settings.header["nel2"] 

    +

    6835 n_bytes_written += fp.write(settings.pack(nsrbd)) 

    +

    6836 

    +

    6837 nsrsd = settings.header["nel4"] 

    +

    6838 n_bytes_written += fp.write(settings.pack(nsrsd)) 

    +

    6839 

    +

    6840 nsrtd = settings.header["nelth"] 

    +

    6841 n_bytes_written += fp.write(settings.pack(nsrtd)) 

    +

    6842 

    +

    6843 if ArrayType.part_ids in self.arrays: 

    +

    6844 # some lsdyna material pointer 

    +

    6845 nsrma = info.ptr_material_ids 

    +

    6846 n_bytes_written += fp.write(settings.pack(nsrma)) 

    +

    6847 

    +

    6848 # some lsdyna material pointer 

    +

    6849 nsrmu = info.ptr_material_ids_defined_order 

    +

    6850 n_bytes_written += fp.write(settings.pack(nsrmu)) 

    +

    6851 

    +

    6852 # some lsdyna material pointer 

    +

    6853 nsrmp = info.ptr_material_ids_crossref 

    +

    6854 n_bytes_written += fp.write(settings.pack(nsrmp)) 

    +

    6855 

    +

    6856 # "Total number of materials (parts)" 

    +

    6857 nsrtm = settings.header["nmmat"] 

    +

    6858 n_bytes_written += fp.write(settings.pack(nsrtm)) 

    +

    6859 

    +

    6860 # Total number of nodal rigid body constraint sets 

    +

    6861 numrbs = settings.header["numrbs"] 

    +

    6862 n_bytes_written += fp.write(settings.pack(numrbs)) 

    +

    6863 

    +

    6864 # Total number of materials 

    +

    6865 # ... coz it's fun doing nice things twice 

    +

    6866 nmmat = settings.header["nmmat"] 

    +

    6867 n_bytes_written += fp.write(settings.pack(nmmat)) 

    +

    6868 

    +

    6869 # NODE IDS 

    +

    6870 node_ids = ( 

    +

    6871 self.arrays[ArrayType.node_ids] 

    +

    6872 if ArrayType.node_ids in self.arrays 

    +

    6873 else np.arange( 

    +

    6874 FORTRAN_OFFSET, settings.header["numnp"] + FORTRAN_OFFSET, dtype=settings.itype 

    +

    6875 ) 

    +

    6876 ) 

    +

    6877 n_bytes_written += fp.write(settings.pack(node_ids, dtype_hint=np.integer)) 

    +

    6878 

    +

    6879 # SOLID IDS 

    +

    6880 solid_ids = ( 

    +

    6881 self.arrays[ArrayType.element_solid_ids] 

    +

    6882 if ArrayType.element_solid_ids in self.arrays 

    +

    6883 else np.arange( 

    +

    6884 FORTRAN_OFFSET, settings.header["nel8"] + FORTRAN_OFFSET, dtype=settings.itype 

    +

    6885 ) 

    +

    6886 ) 

    +

    6887 n_bytes_written += fp.write(settings.pack(solid_ids, dtype_hint=np.integer)) 

    +

    6888 

    +

    6889 # BEAM IDS 

    +

    6890 beam_ids = ( 

    +

    6891 self.arrays[ArrayType.element_beam_ids] 

    +

    6892 if ArrayType.element_beam_ids in self.arrays 

    +

    6893 else np.arange( 

    +

    6894 FORTRAN_OFFSET, settings.header["nel2"] + FORTRAN_OFFSET, dtype=settings.itype 

    +

    6895 ) 

    +

    6896 ) 

    +

    6897 n_bytes_written += fp.write(settings.pack(beam_ids, dtype_hint=np.integer)) 

    +

    6898 

    +

    6899 # SHELL IDS 

    +

    6900 shell_ids = ( 

    +

    6901 self.arrays[ArrayType.element_shell_ids] 

    +

    6902 if ArrayType.element_shell_ids in self.arrays 

    +

    6903 else np.arange( 

    +

    6904 FORTRAN_OFFSET, settings.header["nel4"] + FORTRAN_OFFSET, dtype=settings.itype 

    +

    6905 ) 

    +

    6906 ) 

    +

    6907 n_bytes_written += fp.write(settings.pack(shell_ids, dtype_hint=np.integer)) 

    +

    6908 

    +

    6909 # TSHELL IDS 

    +

    6910 tshell_ids = ( 

    +

    6911 self.arrays[ArrayType.element_tshell_ids] 

    +

    6912 if ArrayType.element_tshell_ids in self.arrays 

    +

    6913 else np.arange( 

    +

    6914 FORTRAN_OFFSET, settings.header["nelth"] + FORTRAN_OFFSET, dtype=settings.itype 

    +

    6915 ) 

    +

    6916 ) 

    +

    6917 n_bytes_written += fp.write(settings.pack(tshell_ids, dtype_hint=np.integer)) 

    +

    6918 

    +

    6919 # MATERIALS .... yay 

    +

    6920 # 

    +

    6921 # lsdyna generates duplicate materials originally 

    +

    6922 # thus nmmat in header is larger than the materials used 

    +

    6923 # by the elements. Some are related to rigid bodies 

    +

    6924 # but some are also generated internally by material models 

    +

    6925 # by the following procedure the material array is larger 

    +

    6926 # than the actual amount of materials (there may be unused 

    +

    6927 # material ids), but it ensures a relatively consistent writing 

    +

    6928 

    +

    6929 material_ids = np.full(settings.header["nmmat"], -1, dtype=self._header.itype) 

    +

    6930 if ArrayType.part_ids in self.arrays: 

    +

    6931 part_ids = self.arrays[ArrayType.part_ids] 

    +

    6932 material_ids = part_ids 

    +

    6933 else: 

    +

    6934 material_ids = np.arange(start=0, stop=settings.header["nmmat"], dtype=settings.itype) 

    +

    6935 

    +

    6936 n_bytes_written += fp.write(settings.pack(material_ids, dtype_hint=np.integer)) 

    +

    6937 

    +

    6938 # unordered material ids can be ignored 

    +

    6939 data_array = np.zeros(settings.header["nmmat"], dtype=settings.itype) 

    +

    6940 if ArrayType.part_ids_unordered in self.arrays: 

    +

    6941 array = self.arrays[ArrayType.part_ids_unordered] 

    +

    6942 end_index = min(len(array), len(data_array)) 

    +

    6943 data_array[:end_index] = array[:end_index] 

    +

    6944 n_bytes_written += fp.write(settings.pack(data_array, dtype_hint=np.integer)) 

    +

    6945 

    +

    6946 # also cross-reference array for ids 

    +

    6947 data_array = np.zeros(settings.header["nmmat"], dtype=settings.itype) 

    +

    6948 if ArrayType.part_ids_cross_references in self.arrays: 

    +

    6949 array = self.arrays[ArrayType.part_ids_cross_references] 

    +

    6950 end_index = min(len(array), len(data_array)) 

    +

    6951 data_array[:end_index] = array[:end_index] 

    +

    6952 n_bytes_written += fp.write(settings.pack(data_array, dtype_hint=np.integer)) 

    +

    6953 

    +

    6954 # check 

    +

    6955 n_bytes_expected = settings.header["narbs"] * settings.wordsize 

    +

    6956 D3plot._compare_n_bytes_checksum(n_bytes_written, n_bytes_expected) 

    +

    6957 

    +

    6958 return n_bytes_written 

    +

    6959 

    +

    6960 def _write_geom_rigid_body_description( 

    +

    6961 self, fp: typing.IO[Any], settings: D3plotWriterSettings 

    +

    6962 ) -> int: 

    +

    6963 

    +

    6964 # this type of rigid body descriptions are very rare 

    +

    6965 # and thus badly tested 

    +

    6966 

    +

    6967 if settings.header["ndim"] not in (8, 9): 

    +

    6968 return 0 

    +

    6969 

    +

    6970 _check_ndim( 

    +

    6971 self, 

    +

    6972 { 

    +

    6973 ArrayType.rigid_body_part_indexes: ["n_rigid_bodies"], 

    +

    6974 }, 

    +

    6975 ) 

    +

    6976 array_dims = { 

    +

    6977 ArrayType.rigid_body_part_indexes: 0, 

    +

    6978 ArrayType.rigid_body_node_indexes_list: 0, 

    +

    6979 ArrayType.rigid_body_active_node_indexes_list: 0, 

    +

    6980 } 

    +

    6981 if not _check_array_occurrence(self, list(array_dims.keys()), list(array_dims.keys())): 

    +

    6982 return 0 

    +

    6983 

    +

    6984 # check length 

    +

    6985 # cannot use self._check_array_dims due to some lists 

    +

    6986 dim_size = -1 

    +

    6987 for typename in array_dims: 

    +

    6988 array = self.arrays[typename] 

    +

    6989 if dim_size < 0: 

    +

    6990 dim_size = len(array) 

    +

    6991 else: 

    +

    6992 if len(array) != dim_size: 

    +

    6993 dimension_size_dict = { 

    +

    6994 typename2: len(self.arrays[typename2]) for typename2 in array_dims 

    +

    6995 } 

    +

    6996 msg = "Inconsistency in array dim '{0}' detected:\n{1}" 

    +

    6997 size_list = [ 

    +

    6998 f" - name: {typename}, dim: {array_dims[typename]}, size: {size}" 

    +

    6999 for typename, size in dimension_size_dict.items() 

    +

    7000 ] 

    +

    7001 raise ValueError(msg.format("n_rigid_bodies", "\n".join(size_list))) 

    +

    7002 

    +

    7003 rigid_body_part_indexes = self.arrays[ArrayType.rigid_body_part_indexes] + FORTRAN_OFFSET 

    +

    7004 # rigid_body_n_nodes = self.arrays[ArrayType.rigid_body_n_nodes] 

    +

    7005 rigid_body_node_indexes_list = self.arrays[ArrayType.rigid_body_node_indexes_list] 

    +

    7006 # rigid_body_n_active_nodes = self.arrays[ArrayType.rigid_body_n_active_nodes] 

    +

    7007 rigid_body_active_node_indexes_list = self.arrays[ 

    +

    7008 ArrayType.rigid_body_active_node_indexes_list 

    +

    7009 ] 

    +

    7010 

    +

    7011 n_bytes_written = 0 

    +

    7012 n_bytes_expected = settings.wordsize 

    +

    7013 

    +

    7014 # NRIGID 

    +

    7015 n_rigid_bodies = len(rigid_body_part_indexes) 

    +

    7016 n_bytes_written += fp.write(settings.pack(n_rigid_bodies)) 

    +

    7017 

    +

    7018 for i_rigid in range(n_rigid_bodies): 

    +

    7019 # part index 

    +

    7020 n_bytes_written += fp.write(settings.pack(rigid_body_part_indexes[i_rigid])) 

    +

    7021 # node indexes 

    +

    7022 array = rigid_body_node_indexes_list[i_rigid] + FORTRAN_OFFSET 

    +

    7023 n_bytes_written += fp.write(settings.pack(len(array))) 

    +

    7024 n_bytes_written += fp.write(settings.pack(array, dtype_hint=np.integer)) 

    +

    7025 # active node indexes 

    +

    7026 array = rigid_body_active_node_indexes_list[i_rigid] 

    +

    7027 n_bytes_written += fp.write(settings.pack(len(array))) 

    +

    7028 n_bytes_written += fp.write(settings.pack(array, dtype_hint=np.integer)) 

    +

    7029 

    +

    7030 n_bytes_expected += settings.wordsize * ( 

    +

    7031 3 

    +

    7032 + len(rigid_body_node_indexes_list[i_rigid]) 

    +

    7033 + len(rigid_body_active_node_indexes_list[i_rigid]) 

    +

    7034 ) 

    +

    7035 

    +

    7036 # check 

    +

    7037 D3plot._compare_n_bytes_checksum(n_bytes_written, n_bytes_expected) 

    +

    7038 

    +

    7039 return n_bytes_written 

    +

    7040 

    +

    7041 def _write_geom_sph_node_and_materials( 

    +

    7042 self, fp: typing.IO[Any], settings: D3plotWriterSettings 

    +

    7043 ) -> int: 

    +

    7044 

    +

    7045 nmsph = settings.header["nmsph"] 

    +

    7046 

    +

    7047 if nmsph <= 0: 

    +

    7048 return 0 

    +

    7049 

    +

    7050 _check_ndim( 

    +

    7051 self, 

    +

    7052 { 

    +

    7053 ArrayType.sph_node_indexes: ["n_sph_nodes"], 

    +

    7054 ArrayType.sph_node_material_index: ["n_sph_nodes"], 

    +

    7055 }, 

    +

    7056 ) 

    +

    7057 array_dims = { 

    +

    7058 ArrayType.sph_node_indexes: 0, 

    +

    7059 ArrayType.sph_node_material_index: 0, 

    +

    7060 } 

    +

    7061 array_names = list(array_dims.keys()) 

    +

    7062 _check_array_occurrence(self, array_names, array_names) 

    +

    7063 self.check_array_dims(array_dims, "n_sph_nodes", nmsph) 

    +

    7064 

    +

    7065 sph_node_indexes = self.arrays[ArrayType.sph_node_indexes] + FORTRAN_OFFSET 

    +

    7066 sph_node_material_index = self.arrays[ArrayType.sph_node_material_index] + FORTRAN_OFFSET 

    +

    7067 sph_data = np.concatenate((sph_node_indexes, sph_node_material_index), axis=1) 

    +

    7068 

    +

    7069 # write 

    +

    7070 n_bytes_written = fp.write(settings.pack(sph_data, dtype_hint=np.integer)) 

    +

    7071 

    +

    7072 # check 

    +

    7073 n_bytes_expected = nmsph * settings.wordsize * 2 

    +

    7074 D3plot._compare_n_bytes_checksum(n_bytes_written, n_bytes_expected) 

    +

    7075 

    +

    7076 return n_bytes_written 

    +

    7077 

    +

    7078 def _write_geom_particle_geometry_data( 

    +

    7079 self, fp: typing.IO[Any], settings: D3plotWriterSettings 

    +

    7080 ) -> int: 

    +

    7081 

    +

    7082 npefg = settings.header["npefg"] 

    +

    7083 if npefg <= 0: 

    +

    7084 return 0 

    +

    7085 

    +

    7086 _check_ndim( 

    +

    7087 self, 

    +

    7088 { 

    +

    7089 ArrayType.airbags_first_particle_id: ["n_airbags"], 

    +

    7090 ArrayType.airbags_n_particles: ["n_airbags"], 

    +

    7091 ArrayType.airbags_ids: ["n_airbags"], 

    +

    7092 ArrayType.airbags_n_gas_mixtures: ["n_airbags"], 

    +

    7093 ArrayType.airbags_n_chambers: ["n_airbags"], 

    +

    7094 }, 

    +

    7095 ) 

    +

    7096 array_dims = { 

    +

    7097 ArrayType.airbags_first_particle_id: 0, 

    +

    7098 ArrayType.airbags_n_particles: 0, 

    +

    7099 ArrayType.airbags_ids: 0, 

    +

    7100 ArrayType.airbags_n_gas_mixtures: 0, 

    +

    7101 ArrayType.airbags_n_chambers: 0, 

    +

    7102 } 

    +

    7103 array_names = list(array_dims.keys()) 

    +

    7104 _check_array_occurrence(self, array_names, array_names) 

    +

    7105 self.check_array_dims(array_dims, "n_airbags") 

    +

    7106 

    +

    7107 # get the arrays 

    +

    7108 array_list = [ 

    +

    7109 self.arrays[ArrayType.airbags_first_particle_id].reshape(-1, 1), 

    +

    7110 self.arrays[ArrayType.airbags_n_particles].reshape(-1, 1), 

    +

    7111 self.arrays[ArrayType.airbags_ids].reshape(-1, 1), 

    +

    7112 self.arrays[ArrayType.airbags_n_gas_mixtures].reshape(-1, 1), 

    +

    7113 ] 

    +

    7114 if ArrayType.airbags_n_chambers in self.arrays: 

    +

    7115 array_list.append(self.arrays[ArrayType.airbags_n_chambers].reshape(-1, 1)) 

    +

    7116 

    +

    7117 # write 

    +

    7118 airbag_geometry_data = np.concatenate(array_list, axis=1) 

    +

    7119 n_bytes_written = fp.write(settings.pack(airbag_geometry_data, dtype_hint=np.integer)) 

    +

    7120 

    +

    7121 # check 

    +

    7122 n_airbags = npefg % 1000 

    +

    7123 ngeom = 5 if ArrayType.airbags_n_chambers in self.arrays else 4 

    +

    7124 n_bytes_expected = n_airbags * ngeom * settings.wordsize 

    +

    7125 D3plot._compare_n_bytes_checksum(n_bytes_written, n_bytes_expected) 

    +

    7126 

    +

    7127 return n_bytes_written 

    +

    7128 

    +

    7129 def _write_geom_rigid_road_surface( 

    +

    7130 self, fp: typing.IO[Any], settings: D3plotWriterSettings 

    +

    7131 ) -> int: 

    +

    7132 

    +

    7133 if settings.header["ndim"] <= 5: 

    +

    7134 return 0 

    +

    7135 

    +

    7136 _check_ndim( 

    +

    7137 self, 

    +

    7138 { 

    +

    7139 ArrayType.rigid_road_node_ids: ["rigid_road_n_nodes"], 

    +

    7140 ArrayType.rigid_road_node_coordinates: ["rigid_road_n_nodes", "x_y_z"], 

    +

    7141 ArrayType.rigid_road_segment_node_ids: ["n_segments", "n_nodes"], 

    +

    7142 ArrayType.rigid_road_segment_road_id: ["n_segments"], 

    +

    7143 }, 

    +

    7144 ) 

    +

    7145 array_dims = { 

    +

    7146 ArrayType.rigid_road_node_ids: 0, 

    +

    7147 ArrayType.rigid_road_node_coordinates: 0, 

    +

    7148 } 

    +

    7149 n_rigid_road_nodes = self.check_array_dims(array_dims, "rigid_road_n_nodes") 

    +

    7150 self.check_array_dims({ArrayType.rigid_road_node_coordinates: 1}, "x_y_z", 3) 

    +

    7151 array_dims = { 

    +

    7152 ArrayType.rigid_road_n_segments: 0, 

    +

    7153 ArrayType.rigid_road_segment_node_ids: 0, 

    +

    7154 ArrayType.rigid_road_segment_road_id: 0, 

    +

    7155 } 

    +

    7156 n_rigid_roads = self.check_array_dims(array_dims, "n_rigid_roads") 

    +

    7157 n_bytes_written = 0 

    +

    7158 

    +

    7159 # NODE COUNT 

    +

    7160 n_bytes_written += fp.write(settings.pack(n_rigid_road_nodes)) 

    +

    7161 

    +

    7162 # SEGMENT COUNT 

    +

    7163 # This was never verified 

    +

    7164 n_total_segments = np.sum( 

    +

    7165 len(segment_ids) for segment_ids in self.arrays[ArrayType.rigid_road_segment_node_ids] 

    +

    7166 ) 

    +

    7167 n_bytes_written += fp.write(settings.pack(n_total_segments)) 

    +

    7168 

    +

    7169 # SURFACE COUNT 

    +

    7170 n_bytes_written += fp.write(settings.pack(n_rigid_roads)) 

    +

    7171 

    +

    7172 # MOTION FLAG - if motion data is output 

    +

    7173 # by default let's just say ... yeah baby 

    +

    7174 # This was never verified 

    +

    7175 n_bytes_written += fp.write(settings.pack(1)) 

    +

    7176 

    +

    7177 # RIGID ROAD NODE IDS 

    +

    7178 rigid_road_node_ids = self.arrays[ArrayType.rigid_road_node_ids] 

    +

    7179 n_bytes_written += fp.write(settings.pack(rigid_road_node_ids, dtype_hint=np.integer)) 

    +

    7180 

    +

    7181 # RIGID ROAD NODE COORDS 

    +

    7182 rigid_road_node_coordinates = self.arrays[ArrayType.rigid_road_node_coordinates] 

    +

    7183 n_bytes_written += fp.write( 

    +

    7184 settings.pack(rigid_road_node_coordinates, dtype_hint=np.floating) 

    +

    7185 ) 

    +

    7186 

    +

    7187 # SURFACE ID 

    +

    7188 # SURFACE N_SEGMENTS 

    +

    7189 # SURFACE SEGMENTS 

    +

    7190 rigid_road_segment_road_id = self.arrays[ArrayType.rigid_road_segment_road_id] 

    +

    7191 rigid_road_segment_node_ids = self.arrays[ArrayType.rigid_road_segment_node_ids] 

    +

    7192 

    +

    7193 for segment_id, node_ids in zip(rigid_road_segment_road_id, rigid_road_segment_node_ids): 

    +

    7194 n_bytes_written += fp.write(settings.pack(segment_id)) 

    +

    7195 n_bytes_written += fp.write(settings.pack(len(node_ids))) 

    +

    7196 n_bytes_written += fp.write(settings.pack(node_ids, dtype_hint=np.integer)) 

    +

    7197 

    +

    7198 # check 

    +

    7199 n_bytes_expected = ( 

    +

    7200 4 + 4 * n_rigid_road_nodes + n_rigid_roads * (2 + 4 * n_total_segments) 

    +

    7201 ) * settings.wordsize 

    +

    7202 D3plot._compare_n_bytes_checksum(n_bytes_written, n_bytes_expected) 

    +

    7203 

    +

    7204 return n_bytes_written 

    +

    7205 

    +

    7206 def _write_geom_extra_node_data( 

    +

    7207 self, fp: typing.IO[Any], settings: D3plotWriterSettings 

    +

    7208 ) -> int: 

    +

    7209 

    +

    7210 n_bytes_written = 0 

    +

    7211 

    +

    7212 # 10 NODE SOLIDS 

    +

    7213 if settings.header["nel8"] < 0: 

    +

    7214 _check_ndim( 

    +

    7215 self, 

    +

    7216 { 

    +

    7217 ArrayType.element_solid_node10_extra_node_indexes: [ 

    +

    7218 "n_solids", 

    +

    7219 "2_extra_node_ids", 

    +

    7220 ], 

    +

    7221 }, 

    +

    7222 ) 

    +

    7223 array_dims = { 

    +

    7224 ArrayType.element_solid_node_indexes: 0, 

    +

    7225 ArrayType.element_solid_node10_extra_node_indexes: 0, 

    +

    7226 } 

    +

    7227 self.check_array_dims(array_dims, "n_solids") 

    +

    7228 self.check_array_dims( 

    +

    7229 {ArrayType.element_solid_node10_extra_node_indexes: 1}, "extra_node_ids", 2 

    +

    7230 ) 

    +

    7231 

    +

    7232 extra_nodes = ( 

    +

    7233 self.arrays[ArrayType.element_solid_node10_extra_node_indexes] + FORTRAN_OFFSET 

    +

    7234 ) 

    +

    7235 

    +

    7236 n_bytes_written += fp.write(settings.pack(extra_nodes, dtype_hint=np.integer)) 

    +

    7237 

    +

    7238 # 8 NODE SHELLS 

    +

    7239 if settings.header["nel48"] > 0: 

    +

    7240 _check_ndim( 

    +

    7241 self, 

    +

    7242 { 

    +

    7243 ArrayType.element_shell_node8_element_index: ["n_node8_shells"], 

    +

    7244 ArrayType.element_shell_node8_extra_node_indexes: [ 

    +

    7245 "n_node8_shells", 

    +

    7246 "4_extra_node_ids", 

    +

    7247 ], 

    +

    7248 }, 

    +

    7249 ) 

    +

    7250 array_dims = { 

    +

    7251 ArrayType.element_shell_node8_element_index: 0, 

    +

    7252 ArrayType.element_shell_node8_extra_node_indexes: 0, 

    +

    7253 } 

    +

    7254 self.check_array_dims(array_dims, "n_node8_shells") 

    +

    7255 self.check_array_dims( 

    +

    7256 {ArrayType.element_shell_node8_extra_node_indexes: 1}, "extra_node_ids", 4 

    +

    7257 ) 

    +

    7258 

    +

    7259 element_indexes = ( 

    +

    7260 self.arrays[ArrayType.element_shell_node8_element_index] + FORTRAN_OFFSET 

    +

    7261 ) 

    +

    7262 extra_nodes = ( 

    +

    7263 self.arrays[ArrayType.element_shell_node8_extra_node_indexes] + FORTRAN_OFFSET 

    +

    7264 ) 

    +

    7265 

    +

    7266 geom_data = np.concatenate((element_indexes, extra_nodes), axis=1) 

    +

    7267 

    +

    7268 n_bytes_written += fp.write(settings.pack(geom_data, dtype_hint=np.integer)) 

    +

    7269 

    +

    7270 # 20 NODE SOLIDS 

    +

    7271 if settings.header["extra"] > 0 and settings.header["nel20"] > 0: 

    +

    7272 _check_ndim( 

    +

    7273 self, 

    +

    7274 { 

    +

    7275 ArrayType.element_solid_node20_element_index: ["n_node20_solids"], 

    +

    7276 ArrayType.element_solid_node20_extra_node_indexes: [ 

    +

    7277 "n_node20_solids", 

    +

    7278 "12_extra_node_ids", 

    +

    7279 ], 

    +

    7280 }, 

    +

    7281 ) 

    +

    7282 array_dims = { 

    +

    7283 ArrayType.element_solid_node20_element_index: 0, 

    +

    7284 ArrayType.element_solid_node20_extra_node_indexes: 0, 

    +

    7285 } 

    +

    7286 self.check_array_dims(array_dims, "n_node20_solids") 

    +

    7287 self.check_array_dims( 

    +

    7288 {ArrayType.element_solid_node20_extra_node_indexes: 1}, "extra_node_ids", 12 

    +

    7289 ) 

    +

    7290 

    +

    7291 element_indexes = ( 

    +

    7292 self.arrays[ArrayType.element_solid_node20_element_index] + FORTRAN_OFFSET 

    +

    7293 ) 

    +

    7294 extra_nodes = ( 

    +

    7295 self.arrays[ArrayType.element_solid_node20_extra_node_indexes] + FORTRAN_OFFSET 

    +

    7296 ) 

    +

    7297 

    +

    7298 geom_data = np.concatenate((element_indexes, extra_nodes), axis=1) 

    +

    7299 

    +

    7300 n_bytes_written += fp.write(settings.pack(geom_data, dtype_hint=np.integer)) 

    +

    7301 

    +

    7302 # 27 NODE SOLIDS 

    +

    7303 if settings.header["extra"] > 0 and settings.header["nel27"] > 0: 

    +

    7304 _check_ndim( 

    +

    7305 self, 

    +

    7306 { 

    +

    7307 ArrayType.element_solid_node20_element_index: ["n_node27_solids"], 

    +

    7308 ArrayType.element_solid_node20_extra_node_indexes: [ 

    +

    7309 "n_node27_solids", 

    +

    7310 "19_extra_node_ids", 

    +

    7311 ], 

    +

    7312 }, 

    +

    7313 ) 

    +

    7314 array_dims = { 

    +

    7315 ArrayType.element_solid_node27_element_index: 0, 

    +

    7316 ArrayType.element_solid_node27_extra_node_indexes: 0, 

    +

    7317 } 

    +

    7318 self.check_array_dims(array_dims, "n_node27_solids") 

    +

    7319 self.check_array_dims( 

    +

    7320 {ArrayType.element_solid_node27_extra_node_indexes: 1}, "extra_node_ids", 19 

    +

    7321 ) 

    +

    7322 

    +

    7323 element_indexes = ( 

    +

    7324 self.arrays[ArrayType.element_solid_node27_element_index] + FORTRAN_OFFSET 

    +

    7325 ) 

    +

    7326 extra_nodes = ( 

    +

    7327 self.arrays[ArrayType.element_solid_node27_extra_node_indexes] + FORTRAN_OFFSET 

    +

    7328 ) 

    +

    7329 

    +

    7330 geom_data = np.concatenate((element_indexes, extra_nodes), axis=1) 

    +

    7331 

    +

    7332 n_bytes_written += fp.write(settings.pack(geom_data, dtype_hint=np.integer)) 

    +

    7333 

    +

    7334 # check 

    +

    7335 has_nel10 = settings.header["nel8"] < 0 

    +

    7336 n_bytes_expected = ( 

    +

    7337 has_nel10 * abs(settings.header["nel8"]) 

    +

    7338 + settings.header["nel48"] * 5 

    +

    7339 + settings.header["nel20"] * 13 

    +

    7340 + settings.header["nel27"] * 20 

    +

    7341 ) * settings.wordsize 

    +

    7342 D3plot._compare_n_bytes_checksum(n_bytes_written, n_bytes_expected) 

    +

    7343 

    +

    7344 return n_bytes_written 

    +

    7345 

    +

    7346 def _write_header_part_contact_interface_titles( 

    +

    7347 self, fp: typing.IO[Any], settings: D3plotWriterSettings 

    +

    7348 ) -> int: 

    +

    7349 

    +

    7350 n_bytes_written = 0 

    +

    7351 

    +

    7352 # PART TITLES 

    +

    7353 _check_ndim( 

    +

    7354 self, 

    +

    7355 { 

    +

    7356 # ArrayType.part_titles: ["n_parts", "n_chars"], 

    +

    7357 ArrayType.part_titles_ids: ["n_parts"], 

    +

    7358 }, 

    +

    7359 ) 

    +

    7360 array_dimensions = { 

    +

    7361 ArrayType.part_titles: 0, 

    +

    7362 ArrayType.part_titles_ids: 0, 

    +

    7363 } 

    +

    7364 if _check_array_occurrence( 

    +

    7365 self, list(array_dimensions.keys()), list(array_dimensions.keys()) 

    +

    7366 ): 

    +

    7367 self.check_array_dims(array_dimensions, "n_parts") 

    +

    7368 

    +

    7369 ntype = 90001 

    +

    7370 

    +

    7371 n_bytes_written += fp.write(settings.pack(ntype)) 

    +

    7372 

    +

    7373 part_titles_ids = self.arrays[ArrayType.part_titles_ids] 

    +

    7374 part_titles = self.arrays[ArrayType.part_titles] 

    +

    7375 

    +

    7376 n_entries = len(part_titles) 

    +

    7377 n_bytes_written += fp.write(settings.pack(n_entries)) 

    +

    7378 

    +

    7379 # title words always have 4 byte size 

    +

    7380 title_wordsize = 4 

    +

    7381 max_len = 18 * title_wordsize 

    +

    7382 fmt_name = "{0:" + str(max_len) + "}" 

    +

    7383 for pid, title in zip(part_titles_ids, part_titles): 

    +

    7384 title = title.decode("ascii") 

    +

    7385 n_bytes_written += fp.write(settings.pack(pid)) 

    +

    7386 

    +

    7387 formatted_title = fmt_name.format(title[:max_len]) 

    +

    7388 n_bytes_written += fp.write(settings.pack(formatted_title, max_len)) 

    +

    7389 

    +

    7390 # TITLE2 

    +

    7391 # yet another title, coz double is always more fun 

    +

    7392 if "title2" in self.header.title2: 

    +

    7393 ntype = 90000 

    +

    7394 

    +

    7395 # title words always have 4 bytes 

    +

    7396 title_wordsize = 4 

    +

    7397 title_size_words = 18 

    +

    7398 

    +

    7399 fmt_title2 = "{0:" + str(title_wordsize * title_size_words) + "}" 

    +

    7400 title2 = fmt_title2.format(self.header.title2[: settings.wordsize * title_size_words]) 

    +

    7401 

    +

    7402 n_bytes_written += fp.write(settings.pack(ntype)) 

    +

    7403 n_bytes_written += fp.write(settings.pack(title2, settings.wordsize * title_size_words)) 

    +

    7404 

    +

    7405 # CONTACT TITLES 

    +

    7406 array_dimensions = { 

    +

    7407 ArrayType.contact_titles: 0, 

    +

    7408 ArrayType.contact_title_ids: 0, 

    +

    7409 } 

    +

    7410 if _check_array_occurrence( 

    +

    7411 self, list(array_dimensions.keys()), list(array_dimensions.keys()) 

    +

    7412 ): 

    +

    7413 self.check_array_dims(array_dimensions, "n_parts") 

    +

    7414 

    +

    7415 ntype = 90002 

    +

    7416 n_bytes_written += fp.write(settings.pack(ntype)) 

    +

    7417 

    +

    7418 titles_ids = self.arrays[ArrayType.contact_title_ids] 

    +

    7419 titles = self.arrays[ArrayType.contact_titles] 

    +

    7420 

    +

    7421 n_entries = len(titles) 

    +

    7422 n_bytes_written += fp.write(settings.pack(n_entries)) 

    +

    7423 

    +

    7424 max_len = 18 * self.header.wordsize 

    +

    7425 fmt_name = "{0:" + str(max_len) + "}" 

    +

    7426 for pid, title in zip(titles_ids, titles): 

    +

    7427 n_bytes_written += fp.write(settings.pack(pid)) 

    +

    7428 

    +

    7429 formatted_title = fmt_name.format(title[:max_len]) 

    +

    7430 n_bytes_written += fp.write(settings.pack(formatted_title)) 

    +

    7431 

    +

    7432 return n_bytes_written 

    +

    7433 

    +

    7434 def _write_states( 

    +

    7435 self, filepath: Union[str, typing.BinaryIO], settings: D3plotWriterSettings 

    +

    7436 ) -> int: 

    +

    7437 

    +

    7438 # did we store any states? 

    +

    7439 n_timesteps_written = 0 

    +

    7440 

    +

    7441 # if timestep array is missing check for any state arrays 

    +

    7442 if ArrayType.global_timesteps not in self.arrays: 

    +

    7443 # if any state array is present simply make up a timestep array 

    +

    7444 if any(array_name in self.arrays for array_name in ArrayType.get_state_array_names()): 

    +

    7445 array_dims = {array_name: 0 for array_name in ArrayType.get_state_array_names()} 

    +

    7446 n_timesteps = self.check_array_dims( 

    +

    7447 array_dimensions=array_dims, dimension_name="n_timesteps" 

    +

    7448 ) 

    +

    7449 self._state_info.n_timesteps = n_timesteps 

    +

    7450 self.arrays[ArrayType.global_timesteps] = np.arange( 

    +

    7451 0, n_timesteps, dtype=settings.ftype 

    +

    7452 ) 

    +

    7453 # no state data so we call it a day 

    +

    7454 else: 

    +

    7455 return n_timesteps_written 

    +

    7456 

    +

    7457 # formatter for state files 

    +

    7458 timesteps = self.arrays[ArrayType.global_timesteps] 

    +

    7459 n_timesteps = len(timesteps) 

    +

    7460 fmt_state_file_counter = "{0:02d}" 

    +

    7461 

    +

    7462 # single file or multiple file handling 

    +

    7463 state_fp: Union[None, typing.BinaryIO] = None 

    +

    7464 file_to_close: Union[None, typing.BinaryIO] = None 

    +

    7465 if isinstance(filepath, str): 

    +

    7466 if settings.single_file: 

    +

    7467 # pylint: disable = consider-using-with 

    +

    7468 state_fp = file_to_close = open(filepath + fmt_state_file_counter.format(1), "ab") 

    +

    7469 else: 

    +

    7470 # create a new file per timestep 

    +

    7471 # see time loop 

    +

    7472 pass 

    +

    7473 else: 

    +

    7474 state_fp = filepath 

    +

    7475 

    +

    7476 try: 

    +

    7477 # time looping ... wheeeeeeeee 

    +

    7478 for i_timestep, _ in enumerate(timesteps): 

    +

    7479 

    +

    7480 # open new state file ... or not 

    +

    7481 state_filepath_or_file = ( 

    +

    7482 filepath + fmt_state_file_counter.format(i_timestep + 1) 

    +

    7483 if isinstance(filepath, str) and state_fp is None 

    +

    7484 else state_fp 

    +

    7485 ) 

    +

    7486 

    +

    7487 n_bytes_written = 0 

    +

    7488 

    +

    7489 with open_file_or_filepath(state_filepath_or_file, "ab") as fp: 

    +

    7490 

    +

    7491 # GLOBALS 

    +

    7492 n_bytes_written += self._write_states_globals(fp, i_timestep, settings) 

    +

    7493 

    +

    7494 # NODE DATA 

    +

    7495 n_bytes_written += self._write_states_nodes(fp, i_timestep, settings) 

    +

    7496 

    +

    7497 # SOLID THERMAL DATA 

    +

    7498 n_bytes_written += self._write_states_solid_thermal_data( 

    +

    7499 fp, i_timestep, settings 

    +

    7500 ) 

    +

    7501 

    +

    7502 # CFDDATA 

    +

    7503 # not supported 

    +

    7504 

    +

    7505 # SOLIDS 

    +

    7506 n_bytes_written += self._write_states_solids(fp, i_timestep, settings) 

    +

    7507 

    +

    7508 # THICK SHELLS 

    +

    7509 n_bytes_written += self._write_states_tshells(fp, i_timestep, settings) 

    +

    7510 

    +

    7511 # spocky ... BEAM me up 

    +

    7512 n_bytes_written += self._write_states_beams(fp, i_timestep, settings) 

    +

    7513 

    +

    7514 # SHELLS 

    +

    7515 n_bytes_written += self._write_states_shells(fp, i_timestep, settings) 

    +

    7516 

    +

    7517 # DELETION INFO 

    +

    7518 n_bytes_written += self._write_states_deletion_info(fp, i_timestep, settings) 

    +

    7519 

    +

    7520 # SPH 

    +

    7521 n_bytes_written += self._write_states_sph(fp, i_timestep, settings) 

    +

    7522 

    +

    7523 # AIRBAG 

    +

    7524 n_bytes_written += self._write_states_airbags(fp, i_timestep, settings) 

    +

    7525 

    +

    7526 # RIGID ROAD 

    +

    7527 n_bytes_written += self._write_states_rigid_road(fp, i_timestep, settings) 

    +

    7528 

    +

    7529 # RIGID BODY 

    +

    7530 n_bytes_written += self._write_states_rigid_bodies(fp, i_timestep, settings) 

    +

    7531 

    +

    7532 # EXTRA DATA 

    +

    7533 # not supported 

    +

    7534 

    +

    7535 # end mark 

    +

    7536 # at the end for single file buffer 

    +

    7537 # or behind each state file 

    +

    7538 if not settings.single_file or i_timestep == n_timesteps - 1: 

    +

    7539 n_bytes_written += fp.write(settings.pack(-999999.0)) 

    +

    7540 

    +

    7541 if settings.block_size_bytes > 0: 

    +

    7542 zero_bytes = self._get_zero_byte_padding( 

    +

    7543 n_bytes_written, settings.block_size_bytes 

    +

    7544 ) 

    +

    7545 n_bytes_written += fp.write(zero_bytes) 

    +

    7546 

    +

    7547 # log 

    +

    7548 msg = "_write_states wrote %d bytes" 

    +

    7549 LOGGER.debug(msg, n_bytes_written) 

    +

    7550 n_timesteps_written += 1 

    +

    7551 

    +

    7552 finally: 

    +

    7553 # close file if required 

    +

    7554 if file_to_close is not None: 

    +

    7555 file_to_close.close() 

    +

    7556 

    +

    7557 return n_timesteps_written 

    +

    7558 

    +

    7559 def _write_states_globals( 

    +

    7560 self, fp: typing.IO[Any], i_timestep: int, settings: D3plotWriterSettings 

    +

    7561 ) -> int: 

    +

    7562 

    +

    7563 _check_ndim( 

    +

    7564 self, 

    +

    7565 { 

    +

    7566 ArrayType.global_kinetic_energy: ["n_timesteps"], 

    +

    7567 ArrayType.global_internal_energy: ["n_timesteps"], 

    +

    7568 ArrayType.global_total_energy: ["n_timesteps"], 

    +

    7569 ArrayType.global_velocity: ["n_timesteps", "vx_vy_vz"], 

    +

    7570 }, 

    +

    7571 ) 

    +

    7572 array_dims = { 

    +

    7573 ArrayType.global_timesteps: 0, 

    +

    7574 ArrayType.global_kinetic_energy: 0, 

    +

    7575 ArrayType.global_internal_energy: 0, 

    +

    7576 ArrayType.global_total_energy: 0, 

    +

    7577 ArrayType.global_velocity: 0, 

    +

    7578 } 

    +

    7579 self.check_array_dims(array_dims, "n_timesteps") 

    +

    7580 

    +

    7581 byte_checksum = 0 

    +

    7582 

    +

    7583 n_global_vars = settings.header["nglbv"] 

    +

    7584 

    +

    7585 # TIME 

    +

    7586 timesteps = self.arrays[ArrayType.global_timesteps] 

    +

    7587 byte_checksum += fp.write(settings.pack(timesteps[i_timestep])) 

    +

    7588 

    +

    7589 # GLOBAL KINETIC ENERGY 

    +

    7590 if n_global_vars >= 1: 

    +

    7591 array_type = ArrayType.global_kinetic_energy 

    +

    7592 value = ( 

    +

    7593 self.arrays[array_type][i_timestep] 

    +

    7594 if array_type in self.arrays 

    +

    7595 else self.header.ftype(0.0) 

    +

    7596 ) 

    +

    7597 byte_checksum += fp.write(settings.pack(value, dtype_hint=np.floating)) 

    +

    7598 

    +

    7599 # GLOBAL INTERNAL ENERGY 

    +

    7600 if n_global_vars >= 2: 

    +

    7601 array_type = ArrayType.global_internal_energy 

    +

    7602 value = ( 

    +

    7603 self.arrays[array_type][i_timestep] 

    +

    7604 if array_type in self.arrays 

    +

    7605 else self.header.ftype(0.0) 

    +

    7606 ) 

    +

    7607 byte_checksum += fp.write(settings.pack(value, dtype_hint=np.floating)) 

    +

    7608 

    +

    7609 # GLOBAL TOTAL ENERGY 

    +

    7610 if n_global_vars >= 3: 

    +

    7611 array_type = ArrayType.global_total_energy 

    +

    7612 value = ( 

    +

    7613 self.arrays[array_type][i_timestep] 

    +

    7614 if array_type in self.arrays 

    +

    7615 else self.header.ftype(0.0) 

    +

    7616 ) 

    +

    7617 byte_checksum += fp.write(settings.pack(value, dtype_hint=np.floating)) 

    +

    7618 

    +

    7619 # GLOBAL VELOCITY 

    +

    7620 if n_global_vars >= 6: 

    +

    7621 self.check_array_dims({ArrayType.global_velocity: 1}, "vx_vy_vz", 3) 

    +

    7622 array_type = ArrayType.global_velocity 

    +

    7623 array = ( 

    +

    7624 self.arrays[array_type][i_timestep] 

    +

    7625 if array_type in self.arrays 

    +

    7626 else np.zeros(3, self.header.ftype) 

    +

    7627 ) 

    +

    7628 byte_checksum += fp.write(settings.pack(array, dtype_hint=np.floating)) 

    +

    7629 

    +

    7630 # PARTS 

    +

    7631 # 

    +

    7632 # Parts always need special love since dyna 

    +

    7633 # writes many dummy parts 

    +

    7634 _check_ndim( 

    +

    7635 self, 

    +

    7636 { 

    +

    7637 ArrayType.part_internal_energy: ["n_timesteps", "n_parts"], 

    +

    7638 ArrayType.part_kinetic_energy: ["n_timesteps", "n_parts"], 

    +

    7639 ArrayType.part_velocity: ["n_timesteps", "n_parts", "vx_vy_vz"], 

    +

    7640 ArrayType.part_mass: ["n_timesteps", "n_parts"], 

    +

    7641 ArrayType.part_hourglass_energy: ["n_timesteps", "n_parts"], 

    +

    7642 }, 

    +

    7643 ) 

    +

    7644 array_dims = { 

    +

    7645 ArrayType.global_timesteps: 0, 

    +

    7646 ArrayType.part_internal_energy: 0, 

    +

    7647 ArrayType.part_kinetic_energy: 0, 

    +

    7648 ArrayType.part_velocity: 0, 

    +

    7649 ArrayType.part_mass: 0, 

    +

    7650 ArrayType.part_hourglass_energy: 0, 

    +

    7651 } 

    +

    7652 self.check_array_dims(array_dims, "n_timesteps") 

    +

    7653 

    +

    7654 self.check_array_dims({ArrayType.part_velocity: 2}, "vx_vy_vz", 3) 

    +

    7655 

    +

    7656 n_parts = settings.header["nmmat"] 

    +

    7657 

    +

    7658 def _write_part_field(array_type: str, default_shape: Union[int, Tuple], dtype: np.dtype): 

    +

    7659 array = ( 

    +

    7660 self.arrays[array_type][i_timestep] 

    +

    7661 if array_type in self.arrays 

    +

    7662 else np.zeros(default_shape, self.header.ftype) 

    +

    7663 ) 

    +

    7664 

    +

    7665 if len(array): 

    +

    7666 dummy_array = array 

    +

    7667 return fp.write(settings.pack(dummy_array, dtype_hint=np.floating)) 

    +

    7668 

    +

    7669 return 0 

    +

    7670 

    +

    7671 # PART INTERNAL ENERGY 

    +

    7672 if n_global_vars >= 6 + n_parts: 

    +

    7673 byte_checksum += _write_part_field( 

    +

    7674 ArrayType.part_internal_energy, n_parts, settings.ftype 

    +

    7675 ) 

    +

    7676 

    +

    7677 # PART KINETIC ENERGY 

    +

    7678 if n_global_vars >= 6 + 2 * n_parts: 

    +

    7679 byte_checksum += _write_part_field( 

    +

    7680 ArrayType.part_kinetic_energy, n_parts, settings.ftype 

    +

    7681 ) 

    +

    7682 

    +

    7683 # PART VELOCITY 

    +

    7684 if n_global_vars >= 6 + 5 * n_parts: 

    +

    7685 byte_checksum += _write_part_field( 

    +

    7686 ArrayType.part_velocity, (n_parts, 3), settings.ftype 

    +

    7687 ) 

    +

    7688 

    +

    7689 # PART MASS 

    +

    7690 if n_global_vars >= 6 + 6 * n_parts: 

    +

    7691 byte_checksum += _write_part_field(ArrayType.part_mass, n_parts, settings.ftype) 

    +

    7692 

    +

    7693 # PART HOURGLASS ENERGY 

    +

    7694 if n_global_vars >= 6 + 7 * n_parts: 

    +

    7695 byte_checksum += _write_part_field( 

    +

    7696 ArrayType.part_hourglass_energy, n_parts, settings.ftype 

    +

    7697 ) 

    +

    7698 

    +

    7699 # RIGID WALL 

    +

    7700 array_dims = { 

    +

    7701 ArrayType.global_timesteps: 0, 

    +

    7702 ArrayType.rigid_wall_force: 0, 

    +

    7703 ArrayType.rigid_wall_position: 0, 

    +

    7704 } 

    +

    7705 self.check_array_dims(array_dims, "n_timesteps") 

    +

    7706 array_dims = { 

    +

    7707 ArrayType.rigid_wall_force: 1, 

    +

    7708 ArrayType.rigid_wall_position: 1, 

    +

    7709 } 

    +

    7710 self.check_array_dims(array_dims, "n_rigid_walls") 

    +

    7711 self.check_array_dims({ArrayType.rigid_wall_position: 2}, "x_y_z", 3) 

    +

    7712 

    +

    7713 n_rigid_wall_vars = settings.header["n_rigid_wall_vars"] 

    +

    7714 n_rigid_walls = settings.header["n_rigid_walls"] 

    +

    7715 if n_global_vars >= 6 + 7 * n_parts + n_rigid_wall_vars * n_rigid_walls: 

    +

    7716 if n_rigid_wall_vars >= 1: 

    +

    7717 array = self.arrays[ArrayType.rigid_wall_force][i_timestep] 

    +

    7718 byte_checksum += fp.write(settings.pack(array, dtype_hint=np.floating)) 

    +

    7719 if n_rigid_wall_vars >= 4: 

    +

    7720 array = self.arrays[ArrayType.rigid_wall_position][i_timestep] 

    +

    7721 byte_checksum += fp.write(settings.pack(array, dtype_hint=np.floating)) 

    +

    7722 

    +

    7723 # check byte checksum 

    +

    7724 # pylint: disable = invalid-name 

    +

    7725 TIME_WORDSIZE = 1 

    +

    7726 byte_checksum_target = (TIME_WORDSIZE + settings.header["nglbv"]) * settings.wordsize 

    +

    7727 if byte_checksum != byte_checksum_target: 

    +

    7728 msg = ( 

    +

    7729 "byte checksum wrong: " 

    +

    7730 f"{byte_checksum_target} (header) != {byte_checksum} (checksum)" 

    +

    7731 ) 

    +

    7732 raise RuntimeError(msg) 

    +

    7733 

    +

    7734 # log 

    +

    7735 msg = "%s wrote %d bytes." 

    +

    7736 LOGGER.debug(msg, "_write_states_globals", byte_checksum) 

    +

    7737 

    +

    7738 return byte_checksum 

    +

    7739 

    +

    7740 def _write_states_nodes( 

    +

    7741 self, fp: typing.IO[Any], i_timestep: int, settings: D3plotWriterSettings 

    +

    7742 ) -> int: 

    +

    7743 

    +

    7744 n_nodes = settings.header["numnp"] 

    +

    7745 if n_nodes <= 0: 

    +

    7746 return 0 

    +

    7747 

    +

    7748 _check_ndim( 

    +

    7749 self, 

    +

    7750 { 

    +

    7751 ArrayType.node_displacement: ["n_timesteps", "n_nodes", "x_y_z"], 

    +

    7752 ArrayType.node_velocity: ["n_timesteps", "n_nodes", "vx_vy_vz"], 

    +

    7753 ArrayType.node_acceleration: ["n_timesteps", "n_nodes", "ax_ay_az"], 

    +

    7754 ArrayType.node_heat_flux: ["n_timesteps", "n_nodes", "hx_hy_hz"], 

    +

    7755 # INFO: cannot check since it may have 1 or 3 values per node 

    +

    7756 # ArrayType.node_temperature: ["n_timesteps","n_nodes"], 

    +

    7757 ArrayType.node_mass_scaling: ["n_timesteps", "n_nodes"], 

    +

    7758 ArrayType.node_temperature_gradient: ["n_timesteps", "n_nodes"], 

    +

    7759 ArrayType.node_residual_forces: ["n_timesteps", "n_nodes", "fx_fy_fz"], 

    +

    7760 ArrayType.node_residual_moments: ["n_timesteps", "n_nodes", "mx_my_mz"], 

    +

    7761 }, 

    +

    7762 ) 

    +

    7763 array_dims = { 

    +

    7764 ArrayType.global_timesteps: 0, 

    +

    7765 ArrayType.node_displacement: 0, 

    +

    7766 ArrayType.node_velocity: 0, 

    +

    7767 ArrayType.node_acceleration: 0, 

    +

    7768 ArrayType.node_heat_flux: 0, 

    +

    7769 ArrayType.node_temperature: 0, 

    +

    7770 ArrayType.node_mass_scaling: 0, 

    +

    7771 ArrayType.node_temperature_gradient: 0, 

    +

    7772 ArrayType.node_residual_forces: 0, 

    +

    7773 ArrayType.node_residual_moments: 0, 

    +

    7774 } 

    +

    7775 self.check_array_dims(array_dims, "n_timesteps") 

    +

    7776 array_dims = { 

    +

    7777 ArrayType.node_coordinates: 0, 

    +

    7778 ArrayType.node_displacement: 1, 

    +

    7779 ArrayType.node_velocity: 1, 

    +

    7780 ArrayType.node_acceleration: 1, 

    +

    7781 ArrayType.node_heat_flux: 1, 

    +

    7782 ArrayType.node_temperature: 1, 

    +

    7783 ArrayType.node_mass_scaling: 1, 

    +

    7784 ArrayType.node_temperature_gradient: 1, 

    +

    7785 ArrayType.node_residual_forces: 1, 

    +

    7786 ArrayType.node_residual_moments: 1, 

    +

    7787 } 

    +

    7788 self.check_array_dims(array_dims, "n_nodes") 

    +

    7789 self.check_array_dims({ArrayType.node_heat_flux: 2}, "x_y_z", 3) 

    +

    7790 self.check_array_dims({ArrayType.node_displacement: 2}, "dx_dy_dz", 3) 

    +

    7791 self.check_array_dims({ArrayType.node_velocity: 2}, "vx_vy_vz", 3) 

    +

    7792 self.check_array_dims({ArrayType.node_acceleration: 2}, "ax_ay_az", 3) 

    +

    7793 self.check_array_dims({ArrayType.node_residual_forces: 2}, "fx_fy_fz", 3) 

    +

    7794 self.check_array_dims({ArrayType.node_residual_moments: 2}, "mx_my_mz", 3) 

    +

    7795 

    +

    7796 byte_checksum = 0 

    +

    7797 

    +

    7798 it = settings.header["it"] 

    +

    7799 has_mass_scaling = False 

    +

    7800 if it >= 10: 

    +

    7801 it -= 10 

    +

    7802 has_mass_scaling = True 

    +

    7803 

    +

    7804 n_nodes = settings.header["numnp"] 

    +

    7805 

    +

    7806 # NODE DISPLACEMENT 

    +

    7807 if settings.header["iu"]: 

    +

    7808 array = self.arrays[ArrayType.node_displacement][i_timestep] 

    +

    7809 byte_checksum += fp.write(settings.pack(array, dtype_hint=np.floating)) 

    +

    7810 

    +

    7811 if it != 0: 

    +

    7812 

    +

    7813 # NODE TEMPERATURES 

    +

    7814 array_type = ArrayType.node_temperature 

    +

    7815 array = ( 

    +

    7816 self.arrays[array_type][i_timestep] 

    +

    7817 if array_type in self.arrays 

    +

    7818 else np.zeros(n_nodes, dtype=settings.ftype) 

    +

    7819 ) 

    +

    7820 

    +

    7821 # just 1 temperature per node 

    +

    7822 if it < 3: 

    +

    7823 byte_checksum += fp.write(settings.pack(array, dtype_hint=np.floating)) 

    +

    7824 # 3 temperatures per node 

    +

    7825 else: 

    +

    7826 self.check_array_dims({ArrayType.node_temperature: 2}, "node_layer", 3) 

    +

    7827 byte_checksum += fp.write(settings.pack(array, dtype_hint=np.floating)) 

    +

    7828 

    +

    7829 # NODE HEAT FLUX 

    +

    7830 if it >= 2: 

    +

    7831 array = self.arrays[ArrayType.node_heat_flux][i_timestep] 

    +

    7832 byte_checksum += fp.write(settings.pack(array, dtype_hint=np.floating)) 

    +

    7833 

    +

    7834 # NODE MASS SCALING 

    +

    7835 if has_mass_scaling: 

    +

    7836 array = self.arrays[ArrayType.node_mass_scaling][i_timestep] 

    +

    7837 byte_checksum += fp.write(settings.pack(array, dtype_hint=np.floating)) 

    +

    7838 

    +

    7839 # NODE TEMPERATURE GRADIENT 

    +

    7840 if settings.has_node_temperature_gradient: 

    +

    7841 array = self.arrays[ArrayType.node_temperature_gradient][i_timestep] 

    +

    7842 byte_checksum += fp.write(settings.pack(array, dtype_hint=np.floating)) 

    +

    7843 

    +

    7844 # NODE RESIDUAL FORCES 

    +

    7845 if settings.has_node_residual_forces: 

    +

    7846 array = ( 

    +

    7847 self.arrays[ArrayType.node_residual_forces][i_timestep] 

    +

    7848 if ArrayType.node_residual_forces in self.arrays 

    +

    7849 else np.zeros((n_nodes, 3), dtype=settings.ftype) 

    +

    7850 ) 

    +

    7851 byte_checksum += fp.write(settings.pack(array, dtype_hint=np.floating)) 

    +

    7852 

    +

    7853 # NODE RESIDUAL MOMENTS 

    +

    7854 if settings.has_node_residual_moments: 

    +

    7855 array = ( 

    +

    7856 self.arrays[ArrayType.node_residual_moments][i_timestep] 

    +

    7857 if ArrayType.node_residual_forces in self.arrays 

    +

    7858 else np.zeros((n_nodes, 3), dtype=settings.ftype) 

    +

    7859 ) 

    +

    7860 byte_checksum += fp.write(settings.pack(array, dtype_hint=np.floating)) 

    +

    7861 

    +

    7862 # NODE VELOCITY 

    +

    7863 if settings.header["iv"]: 

    +

    7864 array = self.arrays[ArrayType.node_velocity][i_timestep] 

    +

    7865 byte_checksum += fp.write(settings.pack(array, dtype_hint=np.floating)) 

    +

    7866 

    +

    7867 # NODE ACCELERATION 

    +

    7868 if settings.header["ia"]: 

    +

    7869 array = self.arrays[ArrayType.node_acceleration][i_timestep] 

    +

    7870 byte_checksum += fp.write(settings.pack(array, dtype_hint=np.floating)) 

    +

    7871 

    +

    7872 # check the checksum 

    +

    7873 n_thermal_vars = 0 

    +

    7874 if settings.header["it"] % 10 == 1: 

    +

    7875 n_thermal_vars = 1 

    +

    7876 elif settings.header["it"] % 10 == 2: 

    +

    7877 n_thermal_vars = 4 

    +

    7878 elif settings.header["it"] % 10 == 3: 

    +

    7879 n_thermal_vars = 6 

    +

    7880 

    +

    7881 if settings.header["it"] // 10 == 1: 

    +

    7882 n_thermal_vars += 1 

    +

    7883 

    +

    7884 n_temp_gradient_vars = settings.has_node_temperature_gradient 

    +

    7885 n_residual_forces_vars = settings.has_node_residual_forces * 3 

    +

    7886 n_residual_moments_vars = settings.has_node_residual_moments * 3 

    +

    7887 

    +

    7888 # pylint: disable = invalid-name 

    +

    7889 NDIM = 3 

    +

    7890 byte_checksum_target = ( 

    +

    7891 ( 

    +

    7892 (settings.header["iu"] + settings.header["iv"] + settings.header["ia"]) * NDIM 

    +

    7893 + n_thermal_vars 

    +

    7894 + n_temp_gradient_vars 

    +

    7895 + n_residual_forces_vars 

    +

    7896 + n_residual_moments_vars 

    +

    7897 ) 

    +

    7898 * settings.wordsize 

    +

    7899 * settings.header["numnp"] 

    +

    7900 ) 

    +

    7901 if byte_checksum != byte_checksum_target: 

    +

    7902 msg = ( 

    +

    7903 "byte checksum wrong: " 

    +

    7904 "{byte_checksum_target} (header) != {byte_checksum} (checksum)" 

    +

    7905 ) 

    +

    7906 raise RuntimeError(msg) 

    +

    7907 

    +

    7908 # log 

    +

    7909 msg = "%s wrote %d bytes." 

    +

    7910 LOGGER.debug(msg, "_write_states_nodes", byte_checksum) 

    +

    7911 

    +

    7912 return byte_checksum 

    +

    7913 

    +

    7914 def _write_states_solid_thermal_data( 

    +

    7915 self, fp: typing.IO[Any], i_timestep: int, settings: D3plotWriterSettings 

    +

    7916 ) -> int: 

    +

    7917 

    +

    7918 if settings.header["nt3d"] <= 0: 

    +

    7919 return 0 

    +

    7920 

    +

    7921 _check_ndim( 

    +

    7922 self, 

    +

    7923 { 

    +

    7924 ArrayType.element_solid_thermal_data: [ 

    +

    7925 "n_timesteps", 

    +

    7926 "n_solids", 

    +

    7927 "n_solids_thermal_vars", 

    +

    7928 ] 

    +

    7929 }, 

    +

    7930 ) 

    +

    7931 

    +

    7932 array_dims = { 

    +

    7933 ArrayType.global_timesteps: 0, 

    +

    7934 ArrayType.element_solid_thermal_data: 0, 

    +

    7935 } 

    +

    7936 self.check_array_dims(array_dims, "n_timesteps") 

    +

    7937 

    +

    7938 array_dims = { 

    +

    7939 ArrayType.element_solid_node_indexes: 0, 

    +

    7940 ArrayType.element_solid_thermal_data: 1, 

    +

    7941 } 

    +

    7942 self.check_array_dims(array_dims, "n_solids") 

    +

    7943 

    +

    7944 array = self.arrays[ArrayType.element_solid_thermal_data][i_timestep] 

    +

    7945 n_bytes_written = fp.write(settings.pack(array, dtype_hint=np.floating)) 

    +

    7946 

    +

    7947 # check bytes 

    +

    7948 n_bytes_expected = ( 

    +

    7949 settings.header["nt3d"] * abs(settings.header["nel8"]) * settings.wordsize 

    +

    7950 ) 

    +

    7951 if n_bytes_expected != n_bytes_written: 

    +

    7952 msg = ( 

    +

    7953 "byte checksum wrong: " 

    +

    7954 f"{n_bytes_expected} (header) != {n_bytes_written} (checksum)" 

    +

    7955 ) 

    +

    7956 raise RuntimeError(msg) 

    +

    7957 

    +

    7958 # log 

    +

    7959 msg = "%s wrote %d bytes." 

    +

    7960 LOGGER.debug(msg, "_write_states_thermal_data", n_bytes_written) 

    +

    7961 

    +

    7962 return n_bytes_written 

    +

    7963 

    +

    7964 def _write_states_solids( 

    +

    7965 self, fp: typing.IO[Any], i_timestep: int, settings: D3plotWriterSettings 

    +

    7966 ) -> int: 

    +

    7967 

    +

    7968 n_solids = abs(settings.header["nel8"]) 

    +

    7969 n_solid_vars = settings.header["nv3d"] 

    +

    7970 n_solid_layers = settings.n_solid_layers 

    +

    7971 

    +

    7972 if n_solids == 0 or n_solid_vars <= 0: 

    +

    7973 return 0 

    +

    7974 

    +

    7975 _check_ndim( 

    +

    7976 self, 

    +

    7977 { 

    +

    7978 ArrayType.element_solid_stress: [ 

    +

    7979 "n_timesteps", 

    +

    7980 "n_solids", 

    +

    7981 "n_solid_layers", 

    +

    7982 "σx_σy_σz_σxy_σyz_σxz", 

    +

    7983 ], 

    +

    7984 ArrayType.element_solid_effective_plastic_strain: [ 

    +

    7985 "n_timesteps", 

    +

    7986 "n_solid_layers", 

    +

    7987 "n_solids", 

    +

    7988 ], 

    +

    7989 ArrayType.element_solid_history_variables: [ 

    +

    7990 "n_timesteps", 

    +

    7991 "n_solids", 

    +

    7992 "n_solid_layers", 

    +

    7993 "n_solid_history_vars", 

    +

    7994 ], 

    +

    7995 ArrayType.element_solid_strain: [ 

    +

    7996 "n_timesteps", 

    +

    7997 "n_solids", 

    +

    7998 "n_solid_layers", 

    +

    7999 "εx_εy_εz_εxy_εyz_εxz", 

    +

    8000 ], 

    +

    8001 ArrayType.element_solid_plastic_strain_tensor: [ 

    +

    8002 "n_timesteps", 

    +

    8003 "n_solids", 

    +

    8004 "n_solid_layers", 

    +

    8005 "εx_εy_εz_εxy_εyz_εxz", 

    +

    8006 ], 

    +

    8007 ArrayType.element_solid_thermal_strain_tensor: [ 

    +

    8008 "n_timesteps", 

    +

    8009 "n_solids", 

    +

    8010 "n_solid_layers", 

    +

    8011 "εx_εy_εz_εxy_εyz_εxz", 

    +

    8012 ], 

    +

    8013 }, 

    +

    8014 ) 

    +

    8015 

    +

    8016 array_dims = { 

    +

    8017 ArrayType.global_timesteps: 0, 

    +

    8018 ArrayType.element_solid_stress: 0, 

    +

    8019 ArrayType.element_solid_effective_plastic_strain: 0, 

    +

    8020 ArrayType.element_solid_history_variables: 0, 

    +

    8021 ArrayType.element_solid_strain: 0, 

    +

    8022 ArrayType.element_solid_plastic_strain_tensor: 0, 

    +

    8023 ArrayType.element_solid_thermal_strain_tensor: 0, 

    +

    8024 } 

    +

    8025 self.check_array_dims(array_dims, "n_timesteps") 

    +

    8026 

    +

    8027 array_dims = { 

    +

    8028 ArrayType.element_solid_node_indexes: 0, 

    +

    8029 ArrayType.element_solid_stress: 1, 

    +

    8030 ArrayType.element_solid_effective_plastic_strain: 1, 

    +

    8031 ArrayType.element_solid_history_variables: 1, 

    +

    8032 ArrayType.element_solid_strain: 1, 

    +

    8033 ArrayType.element_solid_plastic_strain_tensor: 1, 

    +

    8034 ArrayType.element_solid_thermal_strain_tensor: 1, 

    +

    8035 } 

    +

    8036 self.check_array_dims(array_dims, "n_solids") 

    +

    8037 

    +

    8038 array_dims = { 

    +

    8039 ArrayType.element_solid_stress: 2, 

    +

    8040 ArrayType.element_solid_effective_plastic_strain: 2, 

    +

    8041 ArrayType.element_solid_history_variables: 2, 

    +

    8042 ArrayType.element_solid_strain: 2, 

    +

    8043 ArrayType.element_solid_plastic_strain_tensor: 2, 

    +

    8044 ArrayType.element_solid_thermal_strain_tensor: 2, 

    +

    8045 } 

    +

    8046 self.check_array_dims(array_dims, "n_solid_layers") 

    +

    8047 

    +

    8048 self.check_array_dims({ArrayType.element_solid_stress: 3}, "σx_σy_σz_σxy_σyz_σxz", 6) 

    +

    8049 

    +

    8050 self.check_array_dims({ArrayType.element_solid_strain: 3}, "εx_εy_εz_εxy_εyz_εxz", 6) 

    +

    8051 

    +

    8052 self.check_array_dims( 

    +

    8053 {ArrayType.element_solid_plastic_strain_tensor: 3}, "εx_εy_εz_εxy_εyz_εxz", 6 

    +

    8054 ) 

    +

    8055 

    +

    8056 self.check_array_dims( 

    +

    8057 {ArrayType.element_solid_thermal_strain_tensor: 3}, "εx_εy_εz_εxy_εyz_εxz", 6 

    +

    8058 ) 

    +

    8059 

    +

    8060 # allocate array 

    +

    8061 solid_data = np.zeros( 

    +

    8062 (n_solids, n_solid_layers, n_solid_vars // n_solid_layers), dtype=settings.ftype 

    +

    8063 ) 

    +

    8064 

    +

    8065 # SOLID STRESS 

    +

    8066 if ArrayType.element_solid_stress in self.arrays: 

    +

    8067 try: 

    +

    8068 array = self.arrays[ArrayType.element_solid_stress][i_timestep] 

    +

    8069 solid_data[:, :, 0:6] = array 

    +

    8070 except Exception: 

    +

    8071 trb_msg = traceback.format_exc() 

    +

    8072 msg = "A failure in %s was caught:\n%s" 

    +

    8073 LOGGER.warning(msg, "_write_states_solids, element_solid_stress", trb_msg) 

    +

    8074 

    +

    8075 # SOLID EFFECTIVE PSTRAIN 

    +

    8076 if ArrayType.element_solid_effective_plastic_strain in self.arrays: 

    +

    8077 try: 

    +

    8078 array = self.arrays[ArrayType.element_solid_effective_plastic_strain][i_timestep] 

    +

    8079 solid_data[:, :, 6] = array 

    +

    8080 except Exception: 

    +

    8081 trb_msg = traceback.format_exc() 

    +

    8082 msg = "A failure in %s was caught:\n%s" 

    +

    8083 LOGGER.warning( 

    +

    8084 msg, "_write_states_solids, element_solid_effective_plastic_strain", trb_msg 

    +

    8085 ) 

    +

    8086 

    +

    8087 # SOLID HISTORY VARIABLES 

    +

    8088 # (strains, pstrain tensor and thermal tensor are excluded here) 

    +

    8089 has_strain = settings.header["istrn"] 

    +

    8090 n_solid_history_variables = ( 

    +

    8091 settings.header["neiph"] 

    +

    8092 - 6 * has_strain 

    +

    8093 - 6 * settings.has_plastic_strain_tensor 

    +

    8094 - 6 * settings.has_thermal_strain_tensor 

    +

    8095 ) 

    +

    8096 

    +

    8097 if n_solid_history_variables: 

    +

    8098 try: 

    +

    8099 array = self.arrays[ArrayType.element_solid_history_variables][i_timestep] 

    +

    8100 solid_data[:, :, 7 : 7 + n_solid_history_variables] = array 

    +

    8101 except Exception: 

    +

    8102 trb_msg = traceback.format_exc() 

    +

    8103 msg = "A failure in %s was caught:\n%s" 

    +

    8104 LOGGER.warning( 

    +

    8105 msg, "_write_states_solids, element_solid_history_variables", trb_msg 

    +

    8106 ) 

    +

    8107 

    +

    8108 # SOLID STRAIN 

    +

    8109 if has_strain and ArrayType.element_solid_strain in self.arrays: 

    +

    8110 try: 

    +

    8111 array = self.arrays[ArrayType.element_solid_strain][i_timestep] 

    +

    8112 offset = 7 + n_solid_history_variables 

    +

    8113 solid_data[:, :, offset : offset + 6] = array 

    +

    8114 except Exception: 

    +

    8115 trb_msg = traceback.format_exc() 

    +

    8116 msg = "A failure in %s was caught:\n%s" 

    +

    8117 LOGGER.warning(msg, "_write_states_solids, element_solid_strain", trb_msg) 

    +

    8118 

    +

    8119 # PLASTIC STRAIN TENSOR 

    +

    8120 if ( 

    +

    8121 settings.has_plastic_strain_tensor 

    +

    8122 and ArrayType.element_solid_plastic_strain_tensor in self.arrays 

    +

    8123 ): 

    +

    8124 try: 

    +

    8125 array = self.arrays[ArrayType.element_solid_plastic_strain_tensor][i_timestep] 

    +

    8126 offset = 7 + n_solid_history_variables + 6 * has_strain 

    +

    8127 solid_data[:, :, offset : offset + 6] = array 

    +

    8128 except Exception: 

    +

    8129 trb_msg = traceback.format_exc() 

    +

    8130 msg = "A failure in %s was caught:\n%s" 

    +

    8131 LOGGER.warning( 

    +

    8132 msg, "_write_states_solids, element_solid_plastic_strain_tensor", trb_msg 

    +

    8133 ) 

    +

    8134 

    +

    8135 # THERMAL STRAIN TENSOR 

    +

    8136 if ( 

    +

    8137 settings.has_thermal_strain_tensor 

    +

    8138 and ArrayType.element_solid_thermal_strain_tensor in self.arrays 

    +

    8139 ): 

    +

    8140 try: 

    +

    8141 array = self.arrays[ArrayType.element_solid_thermal_strain_tensor][i_timestep] 

    +

    8142 offset = ( 

    +

    8143 7 

    +

    8144 + n_solid_history_variables 

    +

    8145 + 6 * has_strain 

    +

    8146 + 6 * settings.has_plastic_strain_tensor 

    +

    8147 ) 

    +

    8148 solid_data[:, :, offset : offset + 6] = array 

    +

    8149 except Exception: 

    +

    8150 trb_msg = traceback.format_exc() 

    +

    8151 msg = "A failure in %s was caught:\n%s" 

    +

    8152 LOGGER.warning( 

    +

    8153 msg, "_write_states_solids, element_solid_thermal_strain_tensor", trb_msg 

    +

    8154 ) 

    +

    8155 

    +

    8156 n_bytes_written = fp.write(settings.pack(solid_data, dtype_hint=np.floating)) 

    +

    8157 

    +

    8158 # check bytes 

    +

    8159 n_bytes_expected = ( 

    +

    8160 settings.header["nv3d"] * abs(settings.header["nel8"]) * settings.wordsize 

    +

    8161 ) 

    +

    8162 if n_bytes_expected != n_bytes_written: 

    +

    8163 msg = ( 

    +

    8164 "byte checksum wrong: " 

    +

    8165 f"{n_bytes_expected} (header) != {n_bytes_written} (checksum)" 

    +

    8166 ) 

    +

    8167 raise RuntimeError(msg) 

    +

    8168 

    +

    8169 # log 

    +

    8170 msg = "%s wrote %d bytes." 

    +

    8171 LOGGER.debug(msg, "_write_states_solids", n_bytes_written) 

    +

    8172 

    +

    8173 return n_bytes_written 

    +

    8174 

    +

    8175 def _write_states_tshells( 

    +

    8176 self, fp: typing.IO[Any], i_timestep: int, settings: D3plotWriterSettings 

    +

    8177 ) -> int: 

    +

    8178 

    +

    8179 n_tshells = settings.header["nelth"] 

    +

    8180 n_tshell_vars = settings.header["nv3dt"] 

    +

    8181 if n_tshells <= 0 or n_tshell_vars <= 0: 

    +

    8182 return 0 

    +

    8183 

    +

    8184 _check_ndim( 

    +

    8185 self, 

    +

    8186 { 

    +

    8187 ArrayType.element_tshell_stress: [ 

    +

    8188 "n_timesteps", 

    +

    8189 "n_tshells", 

    +

    8190 "n_shell_layers", 

    +

    8191 "σx_σy_σz_σxy_σyz_σxz", 

    +

    8192 ], 

    +

    8193 ArrayType.element_tshell_strain: [ 

    +

    8194 "n_timesteps", 

    +

    8195 "n_tshells", 

    +

    8196 "upper_lower", 

    +

    8197 "εx_εy_εz_εxy_εyz_εxz", 

    +

    8198 ], 

    +

    8199 ArrayType.element_tshell_effective_plastic_strain: [ 

    +

    8200 "n_timesteps", 

    +

    8201 "n_tshells", 

    +

    8202 "n_shell_layers", 

    +

    8203 ], 

    +

    8204 ArrayType.element_tshell_history_variables: [ 

    +

    8205 "n_timesteps", 

    +

    8206 "n_tshells", 

    +

    8207 "n_shell_layers", 

    +

    8208 "n_tshell_history_vars", 

    +

    8209 ], 

    +

    8210 }, 

    +

    8211 ) 

    +

    8212 

    +

    8213 array_dims = { 

    +

    8214 ArrayType.global_timesteps: 0, 

    +

    8215 ArrayType.element_tshell_stress: 0, 

    +

    8216 ArrayType.element_tshell_strain: 0, 

    +

    8217 ArrayType.element_tshell_effective_plastic_strain: 0, 

    +

    8218 ArrayType.element_tshell_history_variables: 0, 

    +

    8219 } 

    +

    8220 self.check_array_dims(array_dims, "n_timesteps") 

    +

    8221 

    +

    8222 array_dims = { 

    +

    8223 ArrayType.element_tshell_node_indexes: 0, 

    +

    8224 ArrayType.element_tshell_stress: 1, 

    +

    8225 ArrayType.element_tshell_strain: 1, 

    +

    8226 ArrayType.element_tshell_effective_plastic_strain: 1, 

    +

    8227 ArrayType.element_tshell_history_variables: 1, 

    +

    8228 } 

    +

    8229 self.check_array_dims(array_dims, "n_tshells") 

    +

    8230 

    +

    8231 self.check_array_dims({ArrayType.element_tshell_stress: 3}, "σx_σy_σz_σxy_σyz_σxz", 6) 

    +

    8232 

    +

    8233 self.check_array_dims({ArrayType.element_tshell_strain: 2}, "upper_lower", 2) 

    +

    8234 

    +

    8235 self.check_array_dims({ArrayType.element_tshell_strain: 3}, "εx_εy_εz_εxy_εyz_εxz", 6) 

    +

    8236 

    +

    8237 has_stress = settings.header["ioshl1"] == 1000 

    +

    8238 has_pstrain = settings.header["ioshl2"] == 1000 

    +

    8239 n_history_vars = settings.header["neips"] 

    +

    8240 n_layer_vars = settings.n_shell_layers * (6 * has_stress + has_pstrain + n_history_vars) 

    +

    8241 

    +

    8242 tshell_data = np.zeros((n_tshells, n_tshell_vars), settings.ftype) 

    +

    8243 tshell_layer_data = tshell_data[:, :n_layer_vars].reshape( 

    +

    8244 (n_tshells, settings.n_shell_layers, -1) 

    +

    8245 ) 

    +

    8246 tshell_nonlayer_data = tshell_data[:, n_layer_vars:] 

    +

    8247 

    +

    8248 # TSHELL STRESS 

    +

    8249 if has_stress: 

    +

    8250 if ArrayType.element_tshell_stress in self.arrays: 

    +

    8251 array = self.arrays[ArrayType.element_tshell_stress][i_timestep] 

    +

    8252 tshell_layer_data[:, :, 0:6] = array 

    +

    8253 

    +

    8254 # TSHELL EFF. PLASTIC STRAIN 

    +

    8255 if has_pstrain: 

    +

    8256 if ArrayType.element_tshell_effective_plastic_strain in self.arrays: 

    +

    8257 array = self.arrays[ArrayType.element_tshell_effective_plastic_strain][i_timestep] 

    +

    8258 start_index = 6 * has_stress 

    +

    8259 tshell_layer_data[:, :, start_index] = array 

    +

    8260 

    +

    8261 # TSHELL HISTORY VARS 

    +

    8262 if n_history_vars != 0: 

    +

    8263 if ArrayType.element_tshell_history_variables in self.arrays: 

    +

    8264 array = self.arrays[ArrayType.element_tshell_history_variables][i_timestep] 

    +

    8265 start_index = 6 * has_stress + has_pstrain 

    +

    8266 end_index = start_index + array.shape[2] 

    +

    8267 tshell_layer_data[:, :, start_index:end_index] = array 

    +

    8268 

    +

    8269 # TSHELL STRAIN 

    +

    8270 if settings.header["istrn"]: 

    +

    8271 if ArrayType.element_tshell_strain in self.arrays: 

    +

    8272 array = self.arrays[ArrayType.element_tshell_strain][i_timestep] 

    +

    8273 start_index = 6 * has_stress + has_pstrain + n_history_vars 

    +

    8274 tshell_nonlayer_data[:, :] = array.reshape(n_tshells, 12) 

    +

    8275 

    +

    8276 n_bytes_written = fp.write(settings.pack(tshell_data, dtype_hint=np.floating)) 

    +

    8277 

    +

    8278 # check bytes 

    +

    8279 n_bytes_expected = ( 

    +

    8280 settings.header["nv3dt"] * abs(settings.header["nelth"]) * settings.wordsize 

    +

    8281 ) 

    +

    8282 if n_bytes_expected != n_bytes_written: 

    +

    8283 msg = ( 

    +

    8284 "byte checksum wrong: " 

    +

    8285 f"{n_bytes_expected} (header) != {n_bytes_written} (checksum)" 

    +

    8286 ) 

    +

    8287 raise RuntimeError(msg) 

    +

    8288 

    +

    8289 # log 

    +

    8290 msg = "%s wrote %d bytes." 

    +

    8291 LOGGER.debug(msg, "_write_states_tshells", n_bytes_written) 

    +

    8292 

    +

    8293 return n_bytes_written 

    +

    8294 

    +

    8295 def _write_states_beams( 

    +

    8296 self, fp: typing.IO[Any], i_timestep: int, settings: D3plotWriterSettings 

    +

    8297 ) -> int: 

    +

    8298 

    +

    8299 n_beams = settings.header["nel2"] 

    +

    8300 n_beam_vars = settings.header["nv1d"] 

    +

    8301 if n_beams <= 0 or n_beam_vars <= 0: 

    +

    8302 return 0 

    +

    8303 

    +

    8304 n_beam_layers = settings.header["beamip"] 

    +

    8305 n_beam_history_vars = settings.header["neipb"] 

    +

    8306 

    +

    8307 _check_ndim( 

    +

    8308 self, 

    +

    8309 { 

    +

    8310 ArrayType.element_beam_axial_force: ["n_timesteps", "n_beams"], 

    +

    8311 ArrayType.element_beam_shear_force: ["n_timesteps", "n_beams", "fs_ft"], 

    +

    8312 ArrayType.element_beam_bending_moment: ["n_timesteps", "n_beams", "ms_mt"], 

    +

    8313 ArrayType.element_beam_torsion_moment: ["n_timesteps", "n_beams"], 

    +

    8314 ArrayType.element_beam_shear_stress: [ 

    +

    8315 "n_timesteps", 

    +

    8316 "n_beams", 

    +

    8317 "n_beam_layers", 

    +

    8318 "σrs_σtr", 

    +

    8319 ], 

    +

    8320 ArrayType.element_beam_axial_stress: ["n_timesteps", "n_beams", "n_beam_layers"], 

    +

    8321 ArrayType.element_beam_plastic_strain: ["n_timesteps", "n_beams", "n_beam_layers"], 

    +

    8322 ArrayType.element_beam_axial_strain: ["n_timesteps", "n_beams", "n_beam_layers"], 

    +

    8323 ArrayType.element_beam_history_vars: [ 

    +

    8324 "n_timesteps", 

    +

    8325 "n_beams", 

    +

    8326 "n_beam_layers+3", 

    +

    8327 "n_beam_history_vars", 

    +

    8328 ], 

    +

    8329 }, 

    +

    8330 ) 

    +

    8331 

    +

    8332 array_dims = { 

    +

    8333 ArrayType.global_timesteps: 0, 

    +

    8334 ArrayType.element_beam_axial_force: 0, 

    +

    8335 ArrayType.element_beam_shear_force: 0, 

    +

    8336 ArrayType.element_beam_bending_moment: 0, 

    +

    8337 ArrayType.element_beam_torsion_moment: 0, 

    +

    8338 ArrayType.element_beam_shear_stress: 0, 

    +

    8339 ArrayType.element_beam_axial_stress: 0, 

    +

    8340 ArrayType.element_beam_plastic_strain: 0, 

    +

    8341 ArrayType.element_beam_axial_strain: 0, 

    +

    8342 ArrayType.element_beam_history_vars: 0, 

    +

    8343 } 

    +

    8344 self.check_array_dims(array_dims, "n_timesteps") 

    +

    8345 array_dims = { 

    +

    8346 ArrayType.element_beam_axial_force: 1, 

    +

    8347 ArrayType.element_beam_shear_force: 1, 

    +

    8348 ArrayType.element_beam_bending_moment: 1, 

    +

    8349 ArrayType.element_beam_torsion_moment: 1, 

    +

    8350 ArrayType.element_beam_shear_stress: 1, 

    +

    8351 ArrayType.element_beam_axial_stress: 1, 

    +

    8352 ArrayType.element_beam_plastic_strain: 1, 

    +

    8353 ArrayType.element_beam_axial_strain: 1, 

    +

    8354 ArrayType.element_beam_history_vars: 1, 

    +

    8355 } 

    +

    8356 self.check_array_dims(array_dims, "n_beams") 

    +

    8357 self.check_array_dims({ArrayType.element_beam_shear_force: 2}, "fs_ft", 2) 

    +

    8358 self.check_array_dims({ArrayType.element_beam_bending_moment: 2}, "ms_mt", 2) 

    +

    8359 array_dims = { 

    +

    8360 ArrayType.element_beam_shear_stress: 2, 

    +

    8361 ArrayType.element_beam_axial_stress: 2, 

    +

    8362 ArrayType.element_beam_plastic_strain: 2, 

    +

    8363 ArrayType.element_beam_axial_strain: 2, 

    +

    8364 ArrayType.element_beam_history_vars: 2, 

    +

    8365 } 

    +

    8366 n_beam_layers = self.check_array_dims(array_dims, "n_beam_layers") 

    +

    8367 self.check_array_dims({ArrayType.element_beam_shear_stress: 3}, "σrs_σtr", 2) 

    +

    8368 self.check_array_dims( 

    +

    8369 {ArrayType.element_beam_history_vars: 2}, "n_modes", n_beam_layers + 3 

    +

    8370 ) 

    +

    8371 

    +

    8372 # allocate buffer 

    +

    8373 beam_data = np.zeros((n_beams, n_beam_vars), dtype=settings.ftype) 

    +

    8374 n_layer_vars_total = 5 * n_beam_layers 

    +

    8375 beam_layer_data = beam_data[:, 6 : 6 + n_layer_vars_total].reshape( 

    +

    8376 (n_beams, n_beam_layers, 5) 

    +

    8377 ) 

    +

    8378 beam_history_vars = beam_data[:, 6 + n_layer_vars_total :].reshape( 

    +

    8379 (n_beams, 3 + n_beam_layers, n_beam_history_vars) 

    +

    8380 ) 

    +

    8381 

    +

    8382 # BEAM AXIAL FORCE 

    +

    8383 if ArrayType.element_beam_axial_force in self.arrays: 

    +

    8384 array = self.arrays[ArrayType.element_beam_axial_force][i_timestep] 

    +

    8385 beam_data[:, 0] = array 

    +

    8386 

    +

    8387 # BEAM SHEAR FORCE 

    +

    8388 if ArrayType.element_beam_shear_force in self.arrays: 

    +

    8389 array = self.arrays[ArrayType.element_beam_shear_force][i_timestep] 

    +

    8390 beam_data[:, 1:3] = array 

    +

    8391 

    +

    8392 # BEAM BENDING MOMENTUM 

    +

    8393 if ArrayType.element_beam_bending_moment in self.arrays: 

    +

    8394 array = self.arrays[ArrayType.element_beam_bending_moment][i_timestep] 

    +

    8395 beam_data[:, 3:5] = array 

    +

    8396 

    +

    8397 # BEAM TORSION MOMENTUM 

    +

    8398 if ArrayType.element_beam_torsion_moment in self.arrays: 

    +

    8399 array = self.arrays[ArrayType.element_beam_torsion_moment][i_timestep] 

    +

    8400 beam_data[:, 5] = array 

    +

    8401 

    +

    8402 if n_beam_layers: 

    +

    8403 array = ( 

    +

    8404 self.arrays[ArrayType.element_beam_axial_stress][i_timestep] 

    +

    8405 if ArrayType.element_beam_axial_stress in self.arrays 

    +

    8406 else np.zeros((n_beams, n_beam_layers), dtype=settings.ftype) 

    +

    8407 ) 

    +

    8408 beam_layer_data[:, :, 0] = array 

    +

    8409 

    +

    8410 array = ( 

    +

    8411 self.arrays[ArrayType.element_beam_shear_stress][i_timestep] 

    +

    8412 if ArrayType.element_beam_shear_stress in self.arrays 

    +

    8413 else np.zeros((n_beams, n_beam_layers, 2), dtype=settings.ftype) 

    +

    8414 ) 

    +

    8415 beam_layer_data[:, :, 1:3] = array 

    +

    8416 

    +

    8417 array = ( 

    +

    8418 self.arrays[ArrayType.element_beam_plastic_strain][i_timestep] 

    +

    8419 if ArrayType.element_beam_plastic_strain in self.arrays 

    +

    8420 else np.zeros((n_beams, n_beam_layers), dtype=settings.ftype) 

    +

    8421 ) 

    +

    8422 beam_layer_data[:, :, 3] = array 

    +

    8423 

    +

    8424 array = ( 

    +

    8425 self.arrays[ArrayType.element_beam_axial_strain][i_timestep] 

    +

    8426 if ArrayType.element_beam_axial_strain in self.arrays 

    +

    8427 else np.zeros((n_beams, n_beam_layers), dtype=settings.ftype) 

    +

    8428 ) 

    +

    8429 beam_layer_data[:, :, 4] = array 

    +

    8430 

    +

    8431 # BEAM HISTORY VARIABLES 

    +

    8432 if n_beam_history_vars: 

    +

    8433 array = ( 

    +

    8434 self.arrays[ArrayType.element_beam_history_vars][i_timestep] 

    +

    8435 if ArrayType.element_beam_history_vars in self.arrays 

    +

    8436 else np.zeros( 

    +

    8437 (n_beams, n_beam_layers + 3, n_beam_history_vars), dtype=settings.ftype 

    +

    8438 ) 

    +

    8439 ) 

    +

    8440 beam_history_vars[:, :, :] = array 

    +

    8441 

    +

    8442 n_bytes_written = fp.write(settings.pack(beam_data, dtype_hint=np.floating)) 

    +

    8443 

    +

    8444 # check bytes 

    +

    8445 n_bytes_expected = settings.header["nv1d"] * settings.header["nel2"] * settings.wordsize 

    +

    8446 if n_bytes_expected != n_bytes_written: 

    +

    8447 msg = ( 

    +

    8448 "byte checksum wrong: " 

    +

    8449 f"{n_bytes_expected} (header) != {n_bytes_written} (checksum)" 

    +

    8450 ) 

    +

    8451 raise RuntimeError(msg) 

    +

    8452 

    +

    8453 # log 

    +

    8454 msg = "%s wrote %d bytes." 

    +

    8455 LOGGER.debug(msg, "_write_states_tshells", n_bytes_written) 

    +

    8456 

    +

    8457 return n_bytes_written 

    +

    8458 

    +

    8459 def _write_states_shells( 

    +

    8460 self, fp: typing.IO[Any], i_timestep: int, settings: D3plotWriterSettings 

    +

    8461 ) -> int: 

    +

    8462 

    +

    8463 n_shells = settings.header["nel4"] 

    +

    8464 n_shell_vars = settings.header["nv2d"] 

    +

    8465 n_rigid_shells = settings.n_rigid_shells 

    +

    8466 is_d3part = self.header.filetype == D3plotFiletype.D3PART 

    +

    8467 # d3part writes results also for rigid shells 

    +

    8468 n_reduced_shells = n_shells if is_d3part else n_shells - n_rigid_shells 

    +

    8469 

    +

    8470 if n_reduced_shells <= 0 or n_shell_vars <= 0: 

    +

    8471 return 0 

    +

    8472 

    +

    8473 has_stress = settings.header["ioshl1"] == 1000 

    +

    8474 has_pstrain = settings.header["ioshl2"] == 1000 

    +

    8475 has_forces = settings.header["ioshl3"] == 1000 

    +

    8476 has_else = settings.header["ioshl4"] == 1000 

    +

    8477 has_strain = settings.header["istrn"] != 0 

    +

    8478 n_shell_history_vars = settings.header["neips"] 

    +

    8479 

    +

    8480 _check_ndim( 

    +

    8481 self, 

    +

    8482 { 

    +

    8483 ArrayType.element_shell_stress: [ 

    +

    8484 "n_timesteps", 

    +

    8485 "n_shells", 

    +

    8486 "n_shell_layers", 

    +

    8487 "σx_σy_σz_σxy_σyz_σxz", 

    +

    8488 ], 

    +

    8489 ArrayType.element_shell_effective_plastic_strain: [ 

    +

    8490 "n_timesteps", 

    +

    8491 "n_shells", 

    +

    8492 "n_shell_layers", 

    +

    8493 ], 

    +

    8494 ArrayType.element_shell_history_vars: [ 

    +

    8495 "n_timesteps", 

    +

    8496 "n_shells", 

    +

    8497 "n_shell_layers", 

    +

    8498 "n_shell_history_vars", 

    +

    8499 ], 

    +

    8500 ArrayType.element_shell_bending_moment: ["n_timesteps", "n_shells", "mx_my_mxy"], 

    +

    8501 ArrayType.element_shell_shear_force: ["n_timesteps", "n_shells", "qx_qy"], 

    +

    8502 ArrayType.element_shell_normal_force: ["n_timesteps", "n_shells", "nx_ny_nxy"], 

    +

    8503 ArrayType.element_shell_thickness: ["n_timesteps", "n_shells"], 

    +

    8504 ArrayType.element_shell_unknown_variables: [ 

    +

    8505 "n_timesteps", 

    +

    8506 "n_shells", 

    +

    8507 "n_extra_vars", 

    +

    8508 ], 

    +

    8509 ArrayType.element_shell_internal_energy: ["n_timesteps", "n_shells"], 

    +

    8510 ArrayType.element_shell_strain: [ 

    +

    8511 "n_timesteps", 

    +

    8512 "n_shells", 

    +

    8513 "upper_lower", 

    +

    8514 "εx_εy_εz_εxy_εyz_εxz", 

    +

    8515 ], 

    +

    8516 }, 

    +

    8517 ) 

    +

    8518 

    +

    8519 array_dims = { 

    +

    8520 ArrayType.global_timesteps: 0, 

    +

    8521 ArrayType.element_shell_stress: 0, 

    +

    8522 ArrayType.element_shell_effective_plastic_strain: 0, 

    +

    8523 ArrayType.element_shell_history_vars: 0, 

    +

    8524 ArrayType.element_shell_bending_moment: 0, 

    +

    8525 ArrayType.element_shell_shear_force: 0, 

    +

    8526 ArrayType.element_shell_normal_force: 0, 

    +

    8527 ArrayType.element_shell_thickness: 0, 

    +

    8528 ArrayType.element_shell_unknown_variables: 0, 

    +

    8529 ArrayType.element_shell_internal_energy: 0, 

    +

    8530 ArrayType.element_shell_strain: 0, 

    +

    8531 } 

    +

    8532 self.check_array_dims(array_dims, "n_timesteps") 

    +

    8533 

    +

    8534 array_dims = { 

    +

    8535 ArrayType.element_shell_stress: 1, 

    +

    8536 ArrayType.element_shell_effective_plastic_strain: 1, 

    +

    8537 ArrayType.element_shell_history_vars: 1, 

    +

    8538 ArrayType.element_shell_bending_moment: 1, 

    +

    8539 ArrayType.element_shell_shear_force: 1, 

    +

    8540 ArrayType.element_shell_normal_force: 1, 

    +

    8541 ArrayType.element_shell_thickness: 1, 

    +

    8542 ArrayType.element_shell_unknown_variables: 1, 

    +

    8543 ArrayType.element_shell_internal_energy: 1, 

    +

    8544 ArrayType.element_shell_strain: 1, 

    +

    8545 } 

    +

    8546 n_reduced_shells = self.check_array_dims(array_dims, "n_shells") 

    +

    8547 if not is_d3part and n_reduced_shells != n_shells - n_rigid_shells: 

    +

    8548 msg = ( 

    +

    8549 "Parts with mattyp 20 (rigid material) were specified." 

    +

    8550 " For these parts no state data is output in dyna." 

    +

    8551 " The state arrays are thus expected output data for only" 

    +

    8552 f" {n_shells - n_rigid_shells} shells and not {n_reduced_shells}." 

    +

    8553 ) 

    +

    8554 raise ValueError(msg) 

    +

    8555 

    +

    8556 array_dims = { 

    +

    8557 ArrayType.element_shell_stress: 2, 

    +

    8558 ArrayType.element_shell_effective_plastic_strain: 2, 

    +

    8559 ArrayType.element_shell_history_vars: 2, 

    +

    8560 } 

    +

    8561 n_shell_layers = self.check_array_dims(array_dims, "n_shell_layers") 

    +

    8562 

    +

    8563 self.check_array_dims({ArrayType.element_shell_stress: 3}, "σx_σy_σz_σxy_σyz_σxz", 6) 

    +

    8564 self.check_array_dims({ArrayType.element_shell_bending_moment: 2}, "mx_my_mxy", 3) 

    +

    8565 self.check_array_dims({ArrayType.element_shell_shear_force: 2}, "qx_qy") 

    +

    8566 self.check_array_dims({ArrayType.element_shell_strain: 2}, "upper_lower", 2) 

    +

    8567 self.check_array_dims({ArrayType.element_shell_strain: 3}, "εx_εy_εz_εxy_εyz_εxz", 6) 

    +

    8568 

    +

    8569 # allocate buffer 

    +

    8570 shell_data = np.zeros((n_reduced_shells, n_shell_vars), dtype=settings.ftype) 

    +

    8571 n_layer_vars = has_stress * 6 + has_pstrain + n_shell_history_vars 

    +

    8572 n_layer_vars_total = n_layer_vars * n_shell_layers 

    +

    8573 

    +

    8574 shell_layer_data = shell_data[:, :n_layer_vars_total].reshape( 

    +

    8575 (n_reduced_shells, n_shell_layers, n_layer_vars) 

    +

    8576 ) 

    +

    8577 shell_nonlayer_data = shell_data[:, n_layer_vars_total:] 

    +

    8578 

    +

    8579 start_layer_index = 0 

    +

    8580 end_layer_index = 0 

    +

    8581 

    +

    8582 # SHELL STRESS 

    +

    8583 if has_stress: 

    +

    8584 start_layer_index = 0 

    +

    8585 end_layer_index = 6 

    +

    8586 if ArrayType.element_shell_stress in self.arrays: 

    +

    8587 array = self.arrays[ArrayType.element_shell_stress][i_timestep] 

    +

    8588 shell_layer_data[:, :, start_layer_index:end_layer_index] = array 

    +

    8589 

    +

    8590 # EFF PSTRAIN 

    +

    8591 if has_pstrain: 

    +

    8592 start_layer_index = end_layer_index 

    +

    8593 end_layer_index = start_layer_index + has_pstrain 

    +

    8594 if ArrayType.element_shell_effective_plastic_strain in self.arrays: 

    +

    8595 array = self.arrays[ArrayType.element_shell_effective_plastic_strain][i_timestep] 

    +

    8596 shell_layer_data[:, :, start_layer_index:end_layer_index] = array.reshape( 

    +

    8597 (n_reduced_shells, n_shell_layers, 1) 

    +

    8598 ) 

    +

    8599 

    +

    8600 # SHELL HISTORY VARS 

    +

    8601 if n_shell_history_vars: 

    +

    8602 start_layer_index = end_layer_index 

    +

    8603 end_layer_index = start_layer_index + n_shell_history_vars 

    +

    8604 if ArrayType.element_shell_history_vars in self.arrays: 

    +

    8605 array = self.arrays[ArrayType.element_shell_history_vars][i_timestep] 

    +

    8606 n_hist_vars_arr = array.shape[2] 

    +

    8607 end_layer_index2 = start_layer_index + min(n_hist_vars_arr, n_shell_history_vars) 

    +

    8608 shell_layer_data[:, :, start_layer_index:end_layer_index2] = array 

    +

    8609 

    +

    8610 start_index = 0 

    +

    8611 end_index = 0 

    +

    8612 

    +

    8613 # SHELL FORCES 

    +

    8614 if has_forces: 

    +

    8615 start_index = end_index 

    +

    8616 end_index = start_index + 8 

    +

    8617 

    +

    8618 # MOMENTUM 

    +

    8619 if ArrayType.element_shell_bending_moment in self.arrays: 

    +

    8620 start_index2 = start_index 

    +

    8621 end_index2 = start_index + 3 

    +

    8622 array = self.arrays[ArrayType.element_shell_bending_moment][i_timestep] 

    +

    8623 shell_nonlayer_data[:, start_index2:end_index2] = array 

    +

    8624 

    +

    8625 # SHEAR 

    +

    8626 if ArrayType.element_shell_shear_force in self.arrays: 

    +

    8627 start_index2 = start_index + 3 

    +

    8628 end_index2 = start_index + 5 

    +

    8629 array = self.arrays[ArrayType.element_shell_shear_force][i_timestep] 

    +

    8630 shell_nonlayer_data[:, start_index2:end_index2] = array 

    +

    8631 

    +

    8632 # NORMAL 

    +

    8633 if ArrayType.element_shell_normal_force in self.arrays: 

    +

    8634 start_index2 = start_index + 5 

    +

    8635 end_index2 = start_index + 8 

    +

    8636 array = self.arrays[ArrayType.element_shell_normal_force][i_timestep] 

    +

    8637 shell_nonlayer_data[:, start_index2:end_index2] = array 

    +

    8638 

    +

    8639 if has_else: 

    +

    8640 start_index = end_index 

    +

    8641 end_index = start_index + 3 

    +

    8642 

    +

    8643 # THICKNESS 

    +

    8644 if ArrayType.element_shell_thickness in self.arrays: 

    +

    8645 start_index2 = start_index 

    +

    8646 end_index2 = start_index + 1 

    +

    8647 array = self.arrays[ArrayType.element_shell_thickness][i_timestep] 

    +

    8648 shell_nonlayer_data[:, start_index2:end_index2] = array.reshape( 

    +

    8649 (n_reduced_shells, 1) 

    +

    8650 ) 

    +

    8651 

    +

    8652 # ELEMENT SPECIFIC VARS 

    +

    8653 if ArrayType.element_shell_unknown_variables in self.arrays: 

    +

    8654 start_index2 = start_index + 1 

    +

    8655 end_index2 = start_index + 3 

    +

    8656 array = self.arrays[ArrayType.element_shell_unknown_variables][i_timestep] 

    +

    8657 shell_nonlayer_data[:, start_index2:end_index2] = array 

    +

    8658 

    +

    8659 # SHELL STRAIN 

    +

    8660 # 

    +

    8661 # Strain is squeezed between the 3rd and 4th var of the else block 

    +

    8662 if has_strain: 

    +

    8663 start_index = end_index 

    +

    8664 end_index = start_index + 12 

    +

    8665 

    +

    8666 if ArrayType.element_shell_strain in self.arrays: 

    +

    8667 array = self.arrays[ArrayType.element_shell_strain][i_timestep] 

    +

    8668 shell_nonlayer_data[:, start_index:end_index] = array.reshape( 

    +

    8669 (n_reduced_shells, 12) 

    +

    8670 ) 

    +

    8671 

    +

    8672 # INTERNAL ENERGY 

    +

    8673 if has_else: 

    +

    8674 start_index = end_index 

    +

    8675 end_index = start_index + 1 

    +

    8676 

    +

    8677 if ArrayType.element_shell_internal_energy in self.arrays: 

    +

    8678 array = self.arrays[ArrayType.element_shell_internal_energy][i_timestep] 

    +

    8679 shell_nonlayer_data[:, start_index:end_index] = array.reshape((n_reduced_shells, 1)) 

    +

    8680 

    +

    8681 # THERMAL STRAIN TENSOR 

    +

    8682 if settings.has_plastic_strain_tensor: 

    +

    8683 start_index = end_index 

    +

    8684 end_index = start_index + n_shell_layers * 6 

    +

    8685 

    +

    8686 if ArrayType.element_shell_plastic_strain_tensor in self.arrays: 

    +

    8687 array = self.arrays[ArrayType.element_shell_plastic_strain_tensor][i_timestep] 

    +

    8688 shell_nonlayer_data[:, start_index:end_index] = array.reshape( 

    +

    8689 (n_reduced_shells, n_shell_layers * 6) 

    +

    8690 ) 

    +

    8691 

    +

    8692 # PLASTIC THERMAL TENSOR 

    +

    8693 if settings.has_thermal_strain_tensor: 

    +

    8694 start_index = end_index 

    +

    8695 end_index = start_index + 6 

    +

    8696 

    +

    8697 if ArrayType.element_shell_thermal_strain_tensor in self.arrays: 

    +

    8698 array = self.arrays[ArrayType.element_shell_thermal_strain_tensor][i_timestep] 

    +

    8699 shell_nonlayer_data[:, start_index:end_index] = array.reshape((n_reduced_shells, 6)) 

    +

    8700 

    +

    8701 n_bytes_written = fp.write(settings.pack(shell_data, dtype_hint=np.floating)) 

    +

    8702 

    +

    8703 # check bytes 

    +

    8704 # *(settings.header["nel4"]-settings.n_rigid_shells)\ 

    +

    8705 n_bytes_expected = settings.header["nv2d"] * n_reduced_shells * settings.wordsize 

    +

    8706 if n_bytes_expected != n_bytes_written: 

    +

    8707 msg = ( 

    +

    8708 "byte checksum wrong: " 

    +

    8709 f"{n_bytes_expected} (header) != {n_bytes_written} (checksum)" 

    +

    8710 ) 

    +

    8711 raise RuntimeError(msg) 

    +

    8712 

    +

    8713 # log 

    +

    8714 msg = "%s wrote %d bytes." 

    +

    8715 LOGGER.debug(msg, "_write_states_shells", n_bytes_written) 

    +

    8716 

    +

    8717 return n_bytes_written 

    +

    8718 

    +

    8719 def _write_states_deletion_info( 

    +

    8720 self, fp: typing.IO[Any], i_timestep: int, settings: D3plotWriterSettings 

    +

    8721 ) -> int: 

    +

    8722 

    +

    8723 if settings.mdlopt <= 0: 

    +

    8724 return 0 

    +

    8725 

    +

    8726 n_bytes_written = 0 

    +

    8727 n_bytes_expected = 0 

    +

    8728 

    +

    8729 # NODE DELETION 

    +

    8730 if settings.mdlopt == 1: 

    +

    8731 

    +

    8732 _check_ndim(self, {ArrayType.node_is_alive: ["n_timesteps", "n_nodes"]}) 

    +

    8733 

    +

    8734 array_dims = { 

    +

    8735 ArrayType.global_timesteps: 0, 

    +

    8736 ArrayType.node_is_alive: 0, 

    +

    8737 } 

    +

    8738 self.check_array_dims(array_dims, "n_timesteps") 

    +

    8739 

    +

    8740 array_dims = { 

    +

    8741 ArrayType.node_coordinates: 0, 

    +

    8742 ArrayType.node_is_alive: 1, 

    +

    8743 } 

    +

    8744 self.check_array_dims(array_dims, "n_nodes") 

    +

    8745 

    +

    8746 n_nodes = settings.header["numnp"] 

    +

    8747 

    +

    8748 array = ( 

    +

    8749 self.arrays[ArrayType.node_is_alive] 

    +

    8750 if ArrayType.node_is_alive in self.arrays 

    +

    8751 else np.zeros(n_nodes, dtype=settings.ftype) 

    +

    8752 ) 

    +

    8753 

    +

    8754 n_bytes_written += fp.write(settings.pack(array, dtype_hint=np.floating)) 

    +

    8755 

    +

    8756 # check 

    +

    8757 n_bytes_expected = settings.header["numnp"] * settings.wordsize 

    +

    8758 

    +

    8759 # ELEMENT DELETION 

    +

    8760 elif settings.mdlopt == 2: 

    +

    8761 

    +

    8762 _check_ndim( 

    +

    8763 self, 

    +

    8764 { 

    +

    8765 ArrayType.element_solid_is_alive: ["n_timesteps", "n_solids"], 

    +

    8766 ArrayType.element_shell_is_alive: ["n_timesteps", "n_shells"], 

    +

    8767 ArrayType.element_beam_is_alive: ["n_timesteps", "n_beams"], 

    +

    8768 ArrayType.element_tshell_is_alive: ["n_timesteps", "n_tshells"], 

    +

    8769 }, 

    +

    8770 ) 

    +

    8771 

    +

    8772 array_dims = { 

    +

    8773 ArrayType.global_timesteps: 0, 

    +

    8774 ArrayType.element_solid_is_alive: 0, 

    +

    8775 ArrayType.element_shell_is_alive: 0, 

    +

    8776 ArrayType.element_beam_is_alive: 0, 

    +

    8777 ArrayType.element_tshell_is_alive: 0, 

    +

    8778 } 

    +

    8779 self.check_array_dims(array_dims, "n_timesteps") 

    +

    8780 

    +

    8781 array_dims = { 

    +

    8782 ArrayType.element_solid_node_indexes: 0, 

    +

    8783 ArrayType.element_solid_is_alive: 1, 

    +

    8784 } 

    +

    8785 self.check_array_dims(array_dims, "n_solids") 

    +

    8786 

    +

    8787 array_dims = { 

    +

    8788 ArrayType.element_beam_node_indexes: 0, 

    +

    8789 ArrayType.element_beam_is_alive: 1, 

    +

    8790 } 

    +

    8791 self.check_array_dims(array_dims, "n_beams") 

    +

    8792 

    +

    8793 array_dims = { 

    +

    8794 ArrayType.element_shell_node_indexes: 0, 

    +

    8795 ArrayType.element_shell_is_alive: 1, 

    +

    8796 } 

    +

    8797 self.check_array_dims(array_dims, "n_shells") 

    +

    8798 

    +

    8799 array_dims = { 

    +

    8800 ArrayType.element_tshell_node_indexes: 0, 

    +

    8801 ArrayType.element_tshell_is_alive: 1, 

    +

    8802 } 

    +

    8803 self.check_array_dims(array_dims, "n_tshells") 

    +

    8804 

    +

    8805 n_solids = settings.header["nel8"] 

    +

    8806 n_tshells = settings.header["nelth"] 

    +

    8807 n_shells = settings.header["nel4"] 

    +

    8808 n_beams = settings.header["nel2"] 

    +

    8809 

    +

    8810 # SOLID DELETION 

    +

    8811 array = ( 

    +

    8812 self.arrays[ArrayType.element_solid_is_alive][i_timestep] 

    +

    8813 if ArrayType.element_solid_is_alive in self.arrays 

    +

    8814 else np.ones(n_solids, dtype=settings.ftype) 

    +

    8815 ) 

    +

    8816 n_bytes_written += fp.write(settings.pack(array, dtype_hint=np.floating)) 

    +

    8817 

    +

    8818 # THICK SHELL DELETION 

    +

    8819 array = ( 

    +

    8820 self.arrays[ArrayType.element_tshell_is_alive][i_timestep] 

    +

    8821 if ArrayType.element_tshell_is_alive in self.arrays 

    +

    8822 else np.ones(n_tshells, dtype=settings.ftype) 

    +

    8823 ) 

    +

    8824 n_bytes_written += fp.write(settings.pack(array, dtype_hint=np.floating)) 

    +

    8825 

    +

    8826 # SHELL DELETION 

    +

    8827 array = ( 

    +

    8828 self.arrays[ArrayType.element_shell_is_alive][i_timestep] 

    +

    8829 if ArrayType.element_shell_is_alive in self.arrays 

    +

    8830 else np.ones(n_shells, dtype=settings.ftype) 

    +

    8831 ) 

    +

    8832 n_bytes_written += fp.write(settings.pack(array, dtype_hint=np.floating)) 

    +

    8833 

    +

    8834 # BEAM DELETION 

    +

    8835 array = ( 

    +

    8836 self.arrays[ArrayType.element_beam_is_alive][i_timestep] 

    +

    8837 if ArrayType.element_beam_is_alive in self.arrays 

    +

    8838 else np.ones(n_beams, dtype=settings.ftype) 

    +

    8839 ) 

    +

    8840 n_bytes_written += fp.write(settings.pack(array, dtype_hint=np.floating)) 

    +

    8841 

    +

    8842 # check 

    +

    8843 n_bytes_expected = ( 

    +

    8844 settings.header["nel2"] 

    +

    8845 + settings.header["nel4"] 

    +

    8846 + abs(settings.header["nel8"]) 

    +

    8847 + settings.header["nelth"] 

    +

    8848 ) * settings.wordsize 

    +

    8849 

    +

    8850 else: 

    +

    8851 msg = f"Invalid mdlopt flag during write process: {settings.mdlopt}" 

    +

    8852 raise RuntimeError(msg) 

    +

    8853 

    +

    8854 # check bytes 

    +

    8855 if n_bytes_expected != n_bytes_written: 

    +

    8856 msg = ( 

    +

    8857 "byte checksum wrong: " 

    +

    8858 f"{n_bytes_expected} (header) != {n_bytes_written} (checksum)" 

    +

    8859 ) 

    +

    8860 raise RuntimeError(msg) 

    +

    8861 

    +

    8862 # log 

    +

    8863 msg = "%s wrote %d bytes." 

    +

    8864 LOGGER.debug(msg, "_write_states_deletion_info", n_bytes_written) 

    +

    8865 

    +

    8866 return n_bytes_written 

    +

    8867 

    +

    8868 def _write_states_sph( 

    +

    8869 self, fp: typing.IO[Any], i_timestep: int, settings: D3plotWriterSettings 

    +

    8870 ) -> int: 

    +

    8871 

    +

    8872 if settings.header["nmsph"] <= 0: 

    +

    8873 return 0 

    +

    8874 

    +

    8875 _check_ndim( 

    +

    8876 self, 

    +

    8877 { 

    +

    8878 ArrayType.sph_deletion: ["n_timesteps", "n_particles"], 

    +

    8879 ArrayType.sph_radius: ["n_timesteps", "n_particles"], 

    +

    8880 ArrayType.sph_pressure: ["n_timesteps", "n_particles"], 

    +

    8881 ArrayType.sph_stress: ["n_timesteps", "n_particles", "σx_σy_σz_σxy_σyz_σxz"], 

    +

    8882 ArrayType.sph_effective_plastic_strain: ["n_timesteps", "n_particles"], 

    +

    8883 ArrayType.sph_density: ["n_timesteps", "n_particles"], 

    +

    8884 ArrayType.sph_internal_energy: ["n_timesteps", "n_particles"], 

    +

    8885 ArrayType.sph_n_neighbors: ["n_timesteps", "n_particles"], 

    +

    8886 ArrayType.sph_strain: ["n_timesteps", "n_particles", "εx_εy_εz_εxy_εyz_εxz"], 

    +

    8887 ArrayType.sph_mass: ["n_timesteps", "n_particles"], 

    +

    8888 }, 

    +

    8889 ) 

    +

    8890 

    +

    8891 array_dims = { 

    +

    8892 ArrayType.global_timesteps: 0, 

    +

    8893 ArrayType.sph_deletion: 0, 

    +

    8894 ArrayType.sph_radius: 0, 

    +

    8895 ArrayType.sph_pressure: 0, 

    +

    8896 ArrayType.sph_stress: 0, 

    +

    8897 ArrayType.sph_effective_plastic_strain: 0, 

    +

    8898 ArrayType.sph_density: 0, 

    +

    8899 ArrayType.sph_internal_energy: 0, 

    +

    8900 ArrayType.sph_n_neighbors: 0, 

    +

    8901 ArrayType.sph_strain: 0, 

    +

    8902 ArrayType.sph_mass: 0, 

    +

    8903 } 

    +

    8904 self.check_array_dims(array_dims, "n_timesteps") 

    +

    8905 

    +

    8906 array_dims = { 

    +

    8907 ArrayType.sph_node_indexes: 0, 

    +

    8908 ArrayType.sph_deletion: 1, 

    +

    8909 ArrayType.sph_radius: 1, 

    +

    8910 ArrayType.sph_pressure: 1, 

    +

    8911 ArrayType.sph_stress: 1, 

    +

    8912 ArrayType.sph_effective_plastic_strain: 1, 

    +

    8913 ArrayType.sph_density: 1, 

    +

    8914 ArrayType.sph_internal_energy: 1, 

    +

    8915 ArrayType.sph_n_neighbors: 1, 

    +

    8916 ArrayType.sph_strain: 1, 

    +

    8917 ArrayType.sph_mass: 1, 

    +

    8918 } 

    +

    8919 n_particles = self.check_array_dims(array_dims, "n_particles") 

    +

    8920 self.check_array_dims({ArrayType.sph_stress: 2}, "σx_σy_σz_σxy_σyz_σxz", 6) 

    +

    8921 self.check_array_dims({ArrayType.sph_strain: 2}, "εx_εy_εz_εxy_εyz_εxz", 6) 

    +

    8922 

    +

    8923 n_sph_variables = settings.header["numsph"] 

    +

    8924 

    +

    8925 sph_data = np.zeros((n_particles, n_sph_variables)) 

    +

    8926 

    +

    8927 start_index = 0 

    +

    8928 end_index = 0 

    +

    8929 

    +

    8930 # SPH MATERIAL AND DELETION 

    +

    8931 start_index = 0 

    +

    8932 end_index = 1 

    +

    8933 array = ( 

    +

    8934 self.arrays[ArrayType.sph_deletion][i_timestep] 

    +

    8935 if ArrayType.sph_deletion in self.arrays 

    +

    8936 else np.ones(n_particles) 

    +

    8937 ) 

    +

    8938 sph_data[:, start_index:end_index] = array 

    +

    8939 

    +

    8940 # INFLUENCE RADIUS 

    +

    8941 if settings.header["isphfg2"]: 

    +

    8942 start_index = end_index 

    +

    8943 end_index = start_index + n_particles 

    +

    8944 if ArrayType.sph_radius in self.arrays: 

    +

    8945 array = self.arrays[ArrayType.sph_radius][i_timestep] 

    +

    8946 sph_data[:, start_index:end_index] = array 

    +

    8947 

    +

    8948 # PRESSURE 

    +

    8949 if settings.header["isphfg3"]: 

    +

    8950 start_index = end_index 

    +

    8951 end_index = start_index + n_particles 

    +

    8952 if ArrayType.sph_pressure in self.arrays: 

    +

    8953 array = self.arrays[ArrayType.sph_pressure][i_timestep] 

    +

    8954 sph_data[:, start_index:end_index] = array 

    +

    8955 

    +

    8956 # STRESS 

    +

    8957 if settings.header["isphfg4"]: 

    +

    8958 start_index = end_index 

    +

    8959 end_index = start_index + 6 * n_particles 

    +

    8960 if ArrayType.sph_stress in self.arrays: 

    +

    8961 array = self.arrays[ArrayType.sph_stress][i_timestep] 

    +

    8962 sph_data[:, start_index:end_index] = array 

    +

    8963 

    +

    8964 # PSTRAIN 

    +

    8965 if settings.header["isphfg5"]: 

    +

    8966 start_index = end_index 

    +

    8967 end_index = start_index + n_particles 

    +

    8968 if ArrayType.sph_effective_plastic_strain in self.arrays: 

    +

    8969 array = self.arrays[ArrayType.sph_effective_plastic_strain][i_timestep] 

    +

    8970 sph_data[:, start_index:end_index] = array 

    +

    8971 

    +

    8972 # DENSITY 

    +

    8973 if settings.header["isphfg6"]: 

    +

    8974 start_index = end_index 

    +

    8975 end_index = start_index + n_particles 

    +

    8976 if ArrayType.sph_density in self.arrays: 

    +

    8977 array = self.arrays[ArrayType.sph_density][i_timestep] 

    +

    8978 sph_data[:, start_index:end_index] = array 

    +

    8979 

    +

    8980 # INTERNAL ENERGY 

    +

    8981 if settings.header["isphfg7"]: 

    +

    8982 start_index = end_index 

    +

    8983 end_index = start_index + n_particles 

    +

    8984 if ArrayType.sph_internal_energy in self.arrays: 

    +

    8985 array = self.arrays[ArrayType.sph_internal_energy][i_timestep] 

    +

    8986 sph_data[:, start_index:end_index] = array 

    +

    8987 

    +

    8988 # INTERNAL ENERGY 

    +

    8989 if settings.header["isphfg8"]: 

    +

    8990 start_index = end_index 

    +

    8991 end_index = start_index + n_particles 

    +

    8992 if ArrayType.sph_n_neighbors in self.arrays: 

    +

    8993 array = self.arrays[ArrayType.sph_n_neighbors][i_timestep] 

    +

    8994 sph_data[:, start_index:end_index] = array 

    +

    8995 

    +

    8996 # STRAIN 

    +

    8997 if settings.header["isphfg9"]: 

    +

    8998 start_index = end_index 

    +

    8999 end_index = start_index + n_particles * 6 

    +

    9000 if ArrayType.sph_strain in self.arrays: 

    +

    9001 array = self.arrays[ArrayType.sph_strain][i_timestep] 

    +

    9002 sph_data[:, start_index:end_index] = array 

    +

    9003 

    +

    9004 # MASS 

    +

    9005 if settings.header["isphfg10"]: 

    +

    9006 start_index = end_index 

    +

    9007 end_index = start_index + n_particles 

    +

    9008 if ArrayType.sph_mass in self.arrays: 

    +

    9009 array = self.arrays[ArrayType.sph_mass][i_timestep] 

    +

    9010 sph_data[:, start_index:end_index] = array 

    +

    9011 

    +

    9012 n_bytes_written = fp.write(settings.pack(sph_data, dtype_hint=np.floating)) 

    +

    9013 

    +

    9014 # check bytes 

    +

    9015 n_bytes_expected = ( 

    +

    9016 settings.header["nv2d"] 

    +

    9017 * (settings.header["nel4"] - settings.header["numrbe"]) 

    +

    9018 * settings.wordsize 

    +

    9019 ) 

    +

    9020 if n_bytes_expected != n_bytes_written: 

    +

    9021 msg = ( 

    +

    9022 "byte checksum wrong: " 

    +

    9023 f"{n_bytes_expected} (header) != {n_bytes_written} (checksum)" 

    +

    9024 ) 

    +

    9025 raise RuntimeError(msg) 

    +

    9026 

    +

    9027 # log 

    +

    9028 msg = "%s wrote %d bytes." 

    +

    9029 LOGGER.debug(msg, "_write_states_sph", n_bytes_written) 

    +

    9030 

    +

    9031 return n_bytes_written 

    +

    9032 

    +

    9033 def _write_states_airbags( 

    +

    9034 self, fp: typing.IO[Any], i_timestep: int, settings: D3plotWriterSettings 

    +

    9035 ) -> int: 

    +

    9036 

    +

    9037 if settings.header["npefg"] <= 0: 

    +

    9038 return 0 

    +

    9039 

    +

    9040 _check_ndim( 

    +

    9041 self, 

    +

    9042 { 

    +

    9043 ArrayType.airbag_n_active_particles: ["n_timesteps", "n_airbags"], 

    +

    9044 ArrayType.airbag_bag_volume: ["n_timesteps", "n_airbags"], 

    +

    9045 ArrayType.airbag_particle_gas_id: ["n_timesteps", "n_particles"], 

    +

    9046 ArrayType.airbag_particle_chamber_id: ["n_timesteps", "n_particles"], 

    +

    9047 ArrayType.airbag_particle_leakage: ["n_timesteps", "n_particles"], 

    +

    9048 ArrayType.airbag_particle_mass: ["n_timesteps", "n_particles"], 

    +

    9049 ArrayType.airbag_particle_radius: ["n_timesteps", "n_particles"], 

    +

    9050 ArrayType.airbag_particle_spin_energy: ["n_timesteps", "n_particles"], 

    +

    9051 ArrayType.airbag_particle_translation_energy: ["n_timesteps", "n_particles"], 

    +

    9052 ArrayType.airbag_particle_nearest_segment_distance: ["n_timesteps", "n_particles"], 

    +

    9053 ArrayType.airbag_particle_position: ["n_timesteps", "n_particles", "x_y_z"], 

    +

    9054 ArrayType.airbag_particle_velocity: ["n_timesteps", "n_particles", "vx_vy_vz"], 

    +

    9055 }, 

    +

    9056 ) 

    +

    9057 

    +

    9058 array_dims = { 

    +

    9059 ArrayType.global_timesteps: 0, 

    +

    9060 ArrayType.airbag_n_active_particles: 0, 

    +

    9061 ArrayType.airbag_bag_volume: 0, 

    +

    9062 } 

    +

    9063 self.check_array_dims(array_dims, "n_timesteps") 

    +

    9064 

    +

    9065 array_dims = { 

    +

    9066 ArrayType.airbags_ids: 0, 

    +

    9067 ArrayType.airbag_n_active_particles: 1, 

    +

    9068 ArrayType.airbag_bag_volume: 1, 

    +

    9069 } 

    +

    9070 n_airbags = self.check_array_dims(array_dims, "n_airbags") 

    +

    9071 assert n_airbags == settings.header["npefg"] % 1000 

    +

    9072 

    +

    9073 array_dims = { 

    +

    9074 ArrayType.global_timesteps: 0, 

    +

    9075 ArrayType.airbag_particle_gas_id: 0, 

    +

    9076 ArrayType.airbag_particle_chamber_id: 0, 

    +

    9077 ArrayType.airbag_particle_leakage: 0, 

    +

    9078 ArrayType.airbag_particle_mass: 0, 

    +

    9079 ArrayType.airbag_particle_radius: 0, 

    +

    9080 ArrayType.airbag_particle_spin_energy: 0, 

    +

    9081 ArrayType.airbag_particle_translation_energy: 0, 

    +

    9082 ArrayType.airbag_particle_nearest_segment_distance: 0, 

    +

    9083 ArrayType.airbag_particle_position: 0, 

    +

    9084 ArrayType.airbag_particle_velocity: 0, 

    +

    9085 } 

    +

    9086 self.check_array_dims(array_dims, "n_timesteps") 

    +

    9087 

    +

    9088 array_dims = { 

    +

    9089 ArrayType.airbag_particle_gas_id: 1, 

    +

    9090 ArrayType.airbag_particle_chamber_id: 1, 

    +

    9091 ArrayType.airbag_particle_leakage: 1, 

    +

    9092 ArrayType.airbag_particle_mass: 1, 

    +

    9093 ArrayType.airbag_particle_radius: 1, 

    +

    9094 ArrayType.airbag_particle_spin_energy: 1, 

    +

    9095 ArrayType.airbag_particle_translation_energy: 1, 

    +

    9096 ArrayType.airbag_particle_nearest_segment_distance: 1, 

    +

    9097 ArrayType.airbag_particle_position: 1, 

    +

    9098 ArrayType.airbag_particle_velocity: 1, 

    +

    9099 } 

    +

    9100 n_particles = self.check_array_dims(array_dims, "n_particles") 

    +

    9101 

    +

    9102 self.check_array_dims({ArrayType.airbag_particle_position: 2}, "x_y_z", 3) 

    +

    9103 

    +

    9104 self.check_array_dims({ArrayType.airbag_particle_velocity: 2}, "vx_vy_vz", 3) 

    +

    9105 

    +

    9106 # Info: 

    +

    9107 # we cast integers to floats here (no conversion, just a cast) 

    +

    9108 # to be able to concatenate the arrays while preserving the 

    +

    9109 # bytes internally. 

    +

    9110 

    +

    9111 # AIRBAG STATE DATA 

    +

    9112 airbag_n_active_particles = ( 

    +

    9113 self.arrays[ArrayType.airbag_n_active_particles][i_timestep] 

    +

    9114 if ArrayType.airbag_n_active_particles in self.arrays 

    +

    9115 else np.zeros(n_airbags, dtype=settings.itype) 

    +

    9116 ) 

    +

    9117 airbag_n_active_particles = airbag_n_active_particles.view(settings.ftype) 

    +

    9118 

    +

    9119 airbag_bag_volume = ( 

    +

    9120 self.arrays[ArrayType.airbag_bag_volume][i_timestep] 

    +

    9121 if ArrayType.airbag_bag_volume in self.arrays 

    +

    9122 else np.zeros(n_airbags, dtype=settings.ftype) 

    +

    9123 ) 

    +

    9124 

    +

    9125 airbag_data = np.concatenate( 

    +

    9126 [ 

    +

    9127 airbag_n_active_particles.reshape(n_airbags, 1), 

    +

    9128 airbag_bag_volume.reshape(n_airbags, 1), 

    +

    9129 ], 

    +

    9130 axis=1, 

    +

    9131 ) 

    +

    9132 n_bytes_written = fp.write(settings.pack(airbag_data, dtype_hint=np.floating)) 

    +

    9133 

    +

    9134 # particle var names 

    +

    9135 array_particle_list = [] 

    +

    9136 

    +

    9137 # PARTICLE GAS ID 

    +

    9138 array = ( 

    +

    9139 self.arrays[ArrayType.airbag_particle_gas_id][i_timestep] 

    +

    9140 if ArrayType.airbag_particle_gas_id in self.arrays 

    +

    9141 else np.zeros(n_particles, dtype=settings.itype) 

    +

    9142 ) 

    +

    9143 array = array.view(settings.ftype) 

    +

    9144 array_particle_list.append(array.reshape(-1, 1)) 

    +

    9145 

    +

    9146 # PARTICLE CHAMBER ID 

    +

    9147 array = ( 

    +

    9148 self.arrays[ArrayType.airbag_particle_chamber_id][i_timestep] 

    +

    9149 if ArrayType.airbag_particle_chamber_id in self.arrays 

    +

    9150 else np.zeros(n_particles, dtype=settings.itype) 

    +

    9151 ) 

    +

    9152 array = array.view(settings.ftype) 

    +

    9153 array_particle_list.append(array.reshape(-1, 1)) 

    +

    9154 

    +

    9155 # PARTICLE LEAKAGE 

    +

    9156 array = ( 

    +

    9157 self.arrays[ArrayType.airbag_particle_leakage][i_timestep] 

    +

    9158 if ArrayType.airbag_particle_leakage in self.arrays 

    +

    9159 else np.zeros(n_particles, dtype=settings.itype) 

    +

    9160 ) 

    +

    9161 array = array.view(settings.ftype) 

    +

    9162 array_particle_list.append(array.reshape(-1, 1)) 

    +

    9163 

    +

    9164 # PARTICLE POSITION 

    +

    9165 array = ( 

    +

    9166 self.arrays[ArrayType.airbag_particle_position][i_timestep] 

    +

    9167 if ArrayType.airbag_particle_position in self.arrays 

    +

    9168 else np.zeros((n_particles, 3), dtype=settings.ftype) 

    +

    9169 ) 

    +

    9170 array_particle_list.append(array) 

    +

    9171 

    +

    9172 # PARTICLE VELOCITY 

    +

    9173 array = ( 

    +

    9174 self.arrays[ArrayType.airbag_particle_velocity][i_timestep] 

    +

    9175 if ArrayType.airbag_particle_velocity in self.arrays 

    +

    9176 else np.zeros((n_particles, 3), dtype=settings.ftype) 

    +

    9177 ) 

    +

    9178 array_particle_list.append(array) 

    +

    9179 

    +

    9180 # PARTICLE MASS 

    +

    9181 array = ( 

    +

    9182 self.arrays[ArrayType.airbag_particle_mass][i_timestep] 

    +

    9183 if ArrayType.airbag_particle_mass in self.arrays 

    +

    9184 else np.zeros(n_particles, dtype=settings.ftype) 

    +

    9185 ) 

    +

    9186 array_particle_list.append(array.reshape(-1, 1)) 

    +

    9187 

    +

    9188 # PARTICLE RADIUS 

    +

    9189 array = ( 

    +

    9190 self.arrays[ArrayType.airbag_particle_radius][i_timestep] 

    +

    9191 if ArrayType.airbag_particle_radius in self.arrays 

    +

    9192 else np.zeros(n_particles, dtype=settings.ftype) 

    +

    9193 ) 

    +

    9194 array_particle_list.append(array.reshape(-1, 1)) 

    +

    9195 

    +

    9196 # PARTICLE SPIN ENERGY 

    +

    9197 array = ( 

    +

    9198 self.arrays[ArrayType.airbag_particle_spin_energy][i_timestep] 

    +

    9199 if ArrayType.airbag_particle_spin_energy in self.arrays 

    +

    9200 else np.zeros(n_particles, dtype=settings.ftype) 

    +

    9201 ) 

    +

    9202 array_particle_list.append(array.reshape(-1, 1)) 

    +

    9203 

    +

    9204 # PARTICLE TRANSL ENERGY 

    +

    9205 array = ( 

    +

    9206 self.arrays[ArrayType.airbag_particle_translation_energy][i_timestep] 

    +

    9207 if ArrayType.airbag_particle_translation_energy in self.arrays 

    +

    9208 else np.zeros(n_particles, dtype=settings.ftype) 

    +

    9209 ) 

    +

    9210 array_particle_list.append(array.reshape(-1, 1)) 

    +

    9211 

    +

    9212 # PARTICLE NEAREST NEIGHBOR DISTANCE 

    +

    9213 array = ( 

    +

    9214 self.arrays[ArrayType.airbag_particle_nearest_segment_distance][i_timestep] 

    +

    9215 if ArrayType.airbag_particle_nearest_segment_distance in self.arrays 

    +

    9216 else np.zeros(n_particles, dtype=settings.ftype) 

    +

    9217 ) 

    +

    9218 array_particle_list.append(array.reshape(-1, 1)) 

    +

    9219 

    +

    9220 airbag_particle_data = np.concatenate(array_particle_list, axis=1) 

    +

    9221 n_bytes_written += fp.write(settings.pack(airbag_particle_data, dtype_hint=np.floating)) 

    +

    9222 

    +

    9223 # check bytes 

    +

    9224 n_bytes_expected = (2 * n_airbags + n_particles * 14) * settings.wordsize 

    +

    9225 if n_bytes_expected != n_bytes_written: 

    +

    9226 msg = ( 

    +

    9227 "byte checksum wrong: " 

    +

    9228 f"{n_bytes_expected} (header) != {n_bytes_written} (checksum)" 

    +

    9229 ) 

    +

    9230 raise RuntimeError(msg) 

    +

    9231 

    +

    9232 # log 

    +

    9233 msg = "%s wrote %d bytes." 

    +

    9234 LOGGER.debug(msg, "_write_states_airbags", n_bytes_written) 

    +

    9235 

    +

    9236 return n_bytes_written 

    +

    9237 

    +

    9238 def _write_states_rigid_road( 

    +

    9239 self, fp: typing.IO[Any], i_timestep: int, settings: D3plotWriterSettings 

    +

    9240 ) -> int: 

    +

    9241 

    +

    9242 if settings.header["ndim"] <= 5: 

    +

    9243 return 0 

    +

    9244 

    +

    9245 _check_ndim( 

    +

    9246 self, 

    +

    9247 { 

    +

    9248 ArrayType.rigid_road_displacement: ["n_timesteps", "n_rigid_roads", "x_y_z"], 

    +

    9249 ArrayType.rigid_road_velocity: ["n_timesteps", "n_rigid_roads", "vx_vy_vz"], 

    +

    9250 }, 

    +

    9251 ) 

    +

    9252 

    +

    9253 array_dims = { 

    +

    9254 ArrayType.global_timesteps: 0, 

    +

    9255 ArrayType.rigid_road_displacement: 0, 

    +

    9256 ArrayType.rigid_road_velocity: 0, 

    +

    9257 } 

    +

    9258 self.check_array_dims(array_dims, "n_rigid_roads") 

    +

    9259 

    +

    9260 array_dims = { 

    +

    9261 ArrayType.rigid_road_segment_road_id: 0, 

    +

    9262 ArrayType.rigid_road_displacement: 1, 

    +

    9263 ArrayType.rigid_road_velocity: 1, 

    +

    9264 } 

    +

    9265 n_rigid_roads = self.check_array_dims(array_dims, "n_rigid_roads") 

    +

    9266 

    +

    9267 self.check_array_dims({ArrayType.rigid_road_displacement: 2}, "x_y_z", 3) 

    +

    9268 

    +

    9269 self.check_array_dims({ArrayType.rigid_road_velocity: 2}, "vx_vy_vz", 3) 

    +

    9270 

    +

    9271 rigid_road_data = np.zeros((n_rigid_roads, 2, 3), dtype=settings.ftype) 

    +

    9272 

    +

    9273 # RIGID ROAD DISPLACEMENT 

    +

    9274 if ArrayType.rigid_road_displacement in self.arrays: 

    +

    9275 array = self.arrays[ArrayType.rigid_road_displacement][i_timestep] 

    +

    9276 rigid_road_data[:, 0, :] = array 

    +

    9277 

    +

    9278 # RIGID ROAD VELOCITY 

    +

    9279 if ArrayType.rigid_road_velocity in self.arrays: 

    +

    9280 array = self.arrays[ArrayType.rigid_road_velocity][i_timestep] 

    +

    9281 rigid_road_data[:, 1, :] = array 

    +

    9282 

    +

    9283 n_bytes_written = fp.write(settings.pack(rigid_road_data, dtype_hint=np.floating)) 

    +

    9284 

    +

    9285 # check bytes 

    +

    9286 n_bytes_expected = settings.header["nv1d"] * settings.header["nel2"] * settings.wordsize 

    +

    9287 if n_bytes_expected != n_bytes_written: 

    +

    9288 msg = ( 

    +

    9289 "byte checksum wrong: " 

    +

    9290 f"{n_bytes_expected} (header) != {n_bytes_written} (checksum)" 

    +

    9291 ) 

    +

    9292 raise RuntimeError(msg) 

    +

    9293 

    +

    9294 # log 

    +

    9295 msg = "%s wrote %d bytes." 

    +

    9296 LOGGER.debug(msg, "_write_states_rigid_road", n_bytes_written) 

    +

    9297 

    +

    9298 return n_bytes_written 

    +

    9299 

    +

    9300 def _write_states_rigid_bodies( 

    +

    9301 self, fp: typing.IO[Any], i_timestep: int, settings: D3plotWriterSettings 

    +

    9302 ) -> int: 

    +

    9303 

    +

    9304 if 8 <= settings.header["ndim"] <= 9: 

    +

    9305 pass 

    +

    9306 else: 

    +

    9307 return 0 

    +

    9308 

    +

    9309 has_reduced_data = settings.header["ndim"] == 9 

    +

    9310 

    +

    9311 _check_ndim( 

    +

    9312 self, 

    +

    9313 { 

    +

    9314 ArrayType.rigid_body_coordinates: ["n_timesteps", "n_rigid_bodies", "x_y_z"], 

    +

    9315 ArrayType.rigid_body_rotation_matrix: ["n_timesteps", "n_rigid_bodies", "matrix"], 

    +

    9316 ArrayType.rigid_body_velocity: ["n_timesteps", "n_rigid_bodies", "vx_vy_vz"], 

    +

    9317 ArrayType.rigid_body_rot_velocity: ["n_timesteps", "n_rigid_bodies", "rvx_rvy_rvz"], 

    +

    9318 ArrayType.rigid_body_acceleration: ["n_timesteps", "n_rigid_bodies", "ax_ay_az"], 

    +

    9319 ArrayType.rigid_body_rot_acceleration: [ 

    +

    9320 "n_timesteps", 

    +

    9321 "n_rigid_bodies", 

    +

    9322 "rax_ray_raz", 

    +

    9323 ], 

    +

    9324 }, 

    +

    9325 ) 

    +

    9326 

    +

    9327 array_dims = { 

    +

    9328 ArrayType.global_timesteps: 0, 

    +

    9329 ArrayType.rigid_body_coordinates: 0, 

    +

    9330 ArrayType.rigid_body_rotation_matrix: 0, 

    +

    9331 ArrayType.rigid_body_velocity: 0, 

    +

    9332 ArrayType.rigid_body_rot_velocity: 0, 

    +

    9333 ArrayType.rigid_body_acceleration: 0, 

    +

    9334 ArrayType.rigid_body_rot_acceleration: 0, 

    +

    9335 } 

    +

    9336 self.check_array_dims(array_dims, "n_timesteps") 

    +

    9337 

    +

    9338 array_dims = { 

    +

    9339 ArrayType.rigid_body_part_indexes: 1, 

    +

    9340 ArrayType.rigid_body_coordinates: 1, 

    +

    9341 ArrayType.rigid_body_rotation_matrix: 1, 

    +

    9342 ArrayType.rigid_body_velocity: 1, 

    +

    9343 ArrayType.rigid_body_rot_velocity: 1, 

    +

    9344 ArrayType.rigid_body_acceleration: 1, 

    +

    9345 ArrayType.rigid_body_rot_acceleration: 1, 

    +

    9346 } 

    +

    9347 n_rigid_bodies = self.check_array_dims(array_dims, "n_rigid_bodies") 

    +

    9348 

    +

    9349 self.check_array_dims({ArrayType.rigid_body_coordinates: 2}, "x_y_z", 3) 

    +

    9350 

    +

    9351 self.check_array_dims({ArrayType.rigid_body_rotation_matrix: 2}, "matrix", 9) 

    +

    9352 

    +

    9353 self.check_array_dims({ArrayType.rigid_body_velocity: 2}, "vx_vy_vz", 3) 

    +

    9354 

    +

    9355 self.check_array_dims({ArrayType.rigid_body_rot_velocity: 2}, "rvx_rvy_rvz", 3) 

    +

    9356 

    +

    9357 self.check_array_dims({ArrayType.rigid_body_acceleration: 2}, "ax_ay_az", 3) 

    +

    9358 

    +

    9359 self.check_array_dims({ArrayType.rigid_body_rot_acceleration: 2}, "rax_ray_raz", 3) 

    +

    9360 

    +

    9361 # allocate block 

    +

    9362 rigid_body_data = ( 

    +

    9363 np.zeros((n_rigid_bodies, 12), dtype=settings.ftype) 

    +

    9364 if has_reduced_data 

    +

    9365 else np.zeros((n_rigid_bodies, 24), dtype=settings.ftype) 

    +

    9366 ) 

    +

    9367 

    +

    9368 start_index = 0 

    +

    9369 end_index = 0 

    +

    9370 

    +

    9371 # COORDINATES 

    +

    9372 if ArrayType.rigid_body_coordinates in self.arrays: 

    +

    9373 start_index = end_index 

    +

    9374 end_index = start_index + 3 

    +

    9375 array = self.arrays[ArrayType.rigid_body_coordinates][i_timestep] 

    +

    9376 rigid_body_data[:, start_index:end_index] = array 

    +

    9377 

    +

    9378 # ROTATION MATRIX 

    +

    9379 if ArrayType.rigid_body_rotation_matrix in self.arrays: 

    +

    9380 start_index = end_index 

    +

    9381 end_index = start_index + 9 

    +

    9382 array = self.arrays[ArrayType.rigid_body_coordinates][i_timestep] 

    +

    9383 rigid_body_data[:, start_index:end_index] = array 

    +

    9384 

    +

    9385 if not has_reduced_data: 

    +

    9386 

    +

    9387 # VELOCITY 

    +

    9388 if ArrayType.rigid_body_velocity in self.arrays: 

    +

    9389 start_index = end_index 

    +

    9390 end_index = start_index + 3 

    +

    9391 array = self.arrays[ArrayType.rigid_body_velocity][i_timestep] 

    +

    9392 rigid_body_data[:, start_index:end_index] = array 

    +

    9393 

    +

    9394 # ROTATION VELOCITY 

    +

    9395 if ArrayType.rigid_body_rot_velocity in self.arrays: 

    +

    9396 start_index = end_index 

    +

    9397 end_index = start_index + 3 

    +

    9398 array = self.arrays[ArrayType.rigid_body_rot_velocity][i_timestep] 

    +

    9399 rigid_body_data[:, start_index:end_index] = array 

    +

    9400 

    +

    9401 # ACCELERATION 

    +

    9402 if ArrayType.rigid_body_acceleration in self.arrays: 

    +

    9403 start_index = end_index 

    +

    9404 end_index = start_index + 3 

    +

    9405 array = self.arrays[ArrayType.rigid_body_acceleration][i_timestep] 

    +

    9406 rigid_body_data[:, start_index:end_index] = array 

    +

    9407 

    +

    9408 # ROTATION ACCELERATION 

    +

    9409 if ArrayType.rigid_body_rot_acceleration in self.arrays: 

    +

    9410 start_index = end_index 

    +

    9411 end_index = start_index + 3 

    +

    9412 array = self.arrays[ArrayType.rigid_body_rot_acceleration][i_timestep] 

    +

    9413 rigid_body_data[:, start_index:end_index] = array 

    +

    9414 

    +

    9415 n_bytes_written = fp.write(settings.pack(rigid_body_data, dtype_hint=np.floating)) 

    +

    9416 

    +

    9417 # check bytes 

    +

    9418 n_bytes_expected = settings.header["nv1d"] * settings.header["nel2"] * settings.wordsize 

    +

    9419 if n_bytes_expected != n_bytes_written: 

    +

    9420 msg = ( 

    +

    9421 "byte checksum wrong: " 

    +

    9422 f"{n_bytes_expected} (header) != {n_bytes_written} (checksum)" 

    +

    9423 ) 

    +

    9424 raise RuntimeError(msg) 

    +

    9425 

    +

    9426 # log 

    +

    9427 msg = "%s wrote %d bytes." 

    +

    9428 LOGGER.debug(msg, "_write_states_rigid_bodies", n_bytes_written) 

    +

    9429 

    +

    9430 return n_bytes_written 

    +

    9431 

    +

    9432 def check_array_dims( 

    +

    9433 self, array_dimensions: Dict[str, int], dimension_name: str, dimension_size: int = -1 

    +

    9434 ): 

    +

    9435 """This function checks if multiple arrays share an array dimensions 

    +

    9436 with the same size. 

    +

    9437 

    +

    9438 Parameters 

    +

    9439 ---------- 

    +

    9440 array_dimensions: Dict[str, int] 

    +

    9441 Array name and expected number of dimensions as dict 

    +

    9442 dimension_name: str 

    +

    9443 Name of the array dimension for error messages 

    +

    9444 dimension_size: int 

    +

    9445 Optional expected size. If not set then all entries must equal 

    +

    9446 the first value collected. 

    +

    9447 

    +

    9448 Raises 

    +

    9449 ------ 

    +

    9450 ValueError 

    +

    9451 If dimensions do not match in any kind of way. 

    +

    9452 """ 

    +

    9453 

    +

    9454 dimension_size_dict = {} 

    +

    9455 

    +

    9456 # collect all dimensions 

    +

    9457 for typename, dimension_index in array_dimensions.items(): 

    +

    9458 if typename not in self.arrays: 

    +

    9459 continue 

    +

    9460 

    +

    9461 array = self.arrays[typename] 

    +

    9462 

    +

    9463 if dimension_index >= array.ndim: 

    +

    9464 msg = ( 

    +

    9465 f"Array '{typename}' requires at least " 

    +

    9466 f"{dimension_index} dimensions ({dimension_name})" 

    +

    9467 ) 

    +

    9468 raise ValueError(msg) 

    +

    9469 

    +

    9470 dimension_size_dict[typename] = array.shape[dimension_index] 

    +

    9471 

    +

    9472 # static dimension 

    +

    9473 if dimension_size >= 0: 

    +

    9474 arrays_with_wrong_dims = { 

    +

    9475 typename: size 

    +

    9476 for typename, size in dimension_size_dict.items() 

    +

    9477 if size != dimension_size 

    +

    9478 } 

    +

    9479 

    +

    9480 if arrays_with_wrong_dims: 

    +

    9481 msg = "The dimension %s of the following arrays is expected to have size %d:\n%s" 

    +

    9482 msg_arrays = [ 

    +

    9483 f" - name: {typename} dim: {array_dimensions[typename]} size: {size}" 

    +

    9484 for typename, size in arrays_with_wrong_dims.items() 

    +

    9485 ] 

    +

    9486 raise ValueError(msg, dimension_name, dimension_size, "\n".join(msg_arrays)) 

    +

    9487 

    +

    9488 # dynamic dimensions 

    +

    9489 else: 

    +

    9490 if dimension_size_dict: 

    +

    9491 unique_sizes = np.unique(list(dimension_size_dict.values())) 

    +

    9492 if len(unique_sizes) > 1: 

    +

    9493 msg = "Inconsistency in array dim '%d' detected:\n%s" 

    +

    9494 size_list = [ 

    +

    9495 f" - name: {typename}, dim: {array_dimensions[typename]}, size: {size}" 

    +

    9496 for typename, size in dimension_size_dict.items() 

    +

    9497 ] 

    +

    9498 raise ValueError(msg, dimension_name, "\n".join(size_list)) 

    +

    9499 if len(unique_sizes) == 1: 

    +

    9500 dimension_size = unique_sizes[0] 

    +

    9501 

    +

    9502 if dimension_size < 0: 

    +

    9503 return 0 

    +

    9504 

    +

    9505 return dimension_size 

    +

    9506 

    +

    9507 @staticmethod 

    +

    9508 def _compare_n_bytes_checksum(n_bytes_written: int, n_bytes_expected: int): 

    +

    9509 """Throw if the byte checksum was not ok 

    +

    9510 

    +

    9511 Parameters 

    +

    9512 ---------- 

    +

    9513 n_bytes_written: int 

    +

    9514 bytes written to the file 

    +

    9515 n_bytes_expected: int 

    +

    9516 bytes expected from the header computation 

    +

    9517 

    +

    9518 Raises 

    +

    9519 ------ 

    +

    9520 RuntimeError 

    +

    9521 If the byte count doesn't match. 

    +

    9522 """ 

    +

    9523 if n_bytes_expected != n_bytes_written: 

    +

    9524 msg = ( 

    +

    9525 "byte checksum wrong: " 

    +

    9526 f"{n_bytes_expected} (header) != {n_bytes_written} (checksum)" 

    +

    9527 ) 

    +

    9528 raise RuntimeError(msg) 

    +

    9529 

    +

    9530 def _get_zero_byte_padding(self, n_bytes_written: int, block_size_bytes: int): 

    +

    9531 """Compute the zero byte-padding at the end of files 

    +

    9532 

    +

    9533 Parameters 

    +

    9534 ---------- 

    +

    9535 n_bytes_written: int 

    +

    9536 number of bytes already written to file 

    +

    9537 block_size_bytes: int 

    +

    9538 byte block size of the file 

    +

    9539 

    +

    9540 Returns 

    +

    9541 ------- 

    +

    9542 zero_bytes: bytes 

    +

    9543 zero-byte padding ready to be written to the file 

    +

    9544 """ 

    +

    9545 

    +

    9546 if block_size_bytes > 0: 

    +

    9547 remaining_bytes = n_bytes_written % block_size_bytes 

    +

    9548 n_bytes_to_fill = block_size_bytes - remaining_bytes if remaining_bytes != 0 else 0 

    +

    9549 return b"\x00" * n_bytes_to_fill 

    +

    9550 

    +

    9551 return b"" 

    +

    9552 

    +

    9553 def compare(self, d3plot2, array_eps: Union[float, None] = None): 

    +

    9554 """Compare two d3plots and print the info 

    +

    9555 

    +

    9556 Parameters 

    +

    9557 ---------- 

    +

    9558 d3plot2: D3plot 

    +

    9559 second d3plot 

    +

    9560 array_eps: float or None 

    +

    9561 tolerance for arrays 

    +

    9562 

    +

    9563 Returns 

    +

    9564 ------- 

    +

    9565 hdr_differences: dict 

    +

    9566 differences in the header 

    +

    9567 array_differences: dict 

    +

    9568 difference between arrays as message 

    +

    9569 

    +

    9570 Examples 

    +

    9571 -------- 

    +

    9572 Comparison of a femzipped file and an uncompressed file. Femzip 

    +

    9573 is a lossy compression, thus precision is traded for memory. 

    +

    9574 

    +

    9575 >>> d3plot1 = D3plot("path/to/d3plot") 

    +

    9576 >>> d3plot2 = D3plot("path/to/d3plot.fz") 

    +

    9577 >>> hdr_diff, array_diff = d3plot1.compare(d3plot2) 

    +

    9578 >>> for arraytype, msg in array_diff.items(): 

    +

    9579 >>> print(name, msg) 

    +

    9580 node_coordinates Δmax = 0.050048828125 

    +

    9581 node_displacement Δmax = 0.050048828125 

    +

    9582 node_velocity Δmax = 0.050048828125 

    +

    9583 node_acceleration Δmax = 49998984.0 

    +

    9584 element_beam_axial_force Δmax = 6.103515625e-05 

    +

    9585 element_shell_stress Δmax = 0.0005035400390625 

    +

    9586 element_shell_thickness Δmax = 9.999999717180685e-10 

    +

    9587 element_shell_unknown_variables Δmax = 0.0005000010132789612 

    +

    9588 element_shell_internal_energy Δmax = 188.41957092285156 

    +

    9589 

    +

    9590 """ 

    +

    9591 

    +

    9592 # pylint: disable = too-many-nested-blocks 

    +

    9593 

    +

    9594 assert isinstance(d3plot2, D3plot) 

    +

    9595 d3plot1 = self 

    +

    9596 

    +

    9597 hdr_differences = d3plot1.header.compare(d3plot2.header) 

    +

    9598 

    +

    9599 # ARRAY COMPARISON 

    +

    9600 array_differences = {} 

    +

    9601 

    +

    9602 array_names = list(d3plot1.arrays.keys()) + list(d3plot2.arrays.keys()) 

    +

    9603 

    +

    9604 for name in array_names: 

    +

    9605 

    +

    9606 array1 = ( 

    +

    9607 d3plot1.arrays[name] if name in d3plot1.arrays else "Array is missing in original" 

    +

    9608 ) 

    +

    9609 

    +

    9610 array2 = d3plot2.arrays[name] if name in d3plot2.arrays else "Array is missing in other" 

    +

    9611 

    +

    9612 # d3parts write results for rigid shells. 

    +

    9613 # when rewriting as d3plot we simply 

    +

    9614 # don't write the part_material_types 

    +

    9615 # array which is the same as having no 

    +

    9616 # rigid shells. 

    +

    9617 d3plot1_is_d3part = d3plot1.header.filetype == D3plotFiletype.D3PART 

    +

    9618 d3plot2_is_d3part = d3plot2.header.filetype == D3plotFiletype.D3PART 

    +

    9619 if name == "part_material_type" and (d3plot1_is_d3part or d3plot2_is_d3part): 

    +

    9620 continue 

    +

    9621 

    +

    9622 # we have an array to compare 

    +

    9623 if isinstance(array1, str): 

    +

    9624 array_differences[name] = array1 

    +

    9625 elif isinstance(array2, str): 

    +

    9626 array_differences[name] = array2 

    +

    9627 elif isinstance(array2, np.ndarray): 

    +

    9628 comparison = False 

    +

    9629 

    +

    9630 # compare arrays 

    +

    9631 if isinstance(array1, np.ndarray): 

    +

    9632 if array1.shape != array2.shape: 

    +

    9633 comparison = f"shape mismatch {array1.shape} != {array2.shape}" 

    +

    9634 else: 

    +

    9635 if np.issubdtype(array1.dtype, np.number) and np.issubdtype( 

    +

    9636 array2.dtype, np.number 

    +

    9637 ): 

    +

    9638 diff = np.abs(array1 - array2) 

    +

    9639 if diff.size: 

    +

    9640 if array_eps is not None: 

    +

    9641 diff2 = diff[diff > array_eps] 

    +

    9642 if diff2.size: 

    +

    9643 diff2_max = diff2.max() 

    +

    9644 if diff2_max: 

    +

    9645 comparison = f"Δmax = {diff2_max}" 

    +

    9646 else: 

    +

    9647 diff_max = diff.max() 

    +

    9648 if diff_max: 

    +

    9649 comparison = f"Δmax = {diff_max}" 

    +

    9650 else: 

    +

    9651 n_mismatches = (array1 != array2).sum() 

    +

    9652 if n_mismatches: 

    +

    9653 comparison = f"Mismatches: {n_mismatches}" 

    +

    9654 

    +

    9655 else: 

    +

    9656 comparison = "Arrays don't match" 

    +

    9657 

    +

    9658 # print 

    +

    9659 if comparison: 

    +

    9660 array_differences[name] = comparison 

    +

    9661 

    +

    9662 return hdr_differences, array_differences 

    +

    9663 

    +

    9664 def get_part_filter( 

    +

    9665 self, filter_type: FilterType, part_ids: Iterable[int], for_state_array: bool = True 

    +

    9666 ) -> np.ndarray: 

    +

    9667 """Get a part filter for different entities 

    +

    9668 

    +

    9669 Parameters 

    +

    9670 ---------- 

    +

    9671 filter_type: lasso.dyna.FilterType 

    +

    9672 the array type to filter for (beam, shell, solid, tshell, node) 

    +

    9673 part_ids: Iterable[int] 

    +

    9674 part ids to filter out 

    +

    9675 for_state_array: bool 

    +

    9676 if the filter is meant for a state array. Makes a difference 

    +

    9677 for shells if rigid bodies are in the model (mattyp == 20) 

    +

    9678 

    +

    9679 Returns 

    +

    9680 ------- 

    +

    9681 mask: np.ndarray 

    +

    9682 mask usable on arrays to filter results 

    +

    9683 

    +

    9684 Examples 

    +

    9685 -------- 

    +

    9686 >>> from lasso.dyna import D3plot, ArrayType, FilterType 

    +

    9687 >>> d3plot = D3plot("path/to/d3plot") 

    +

    9688 >>> part_ids = [13, 14] 

    +

    9689 >>> mask = d3plot.get_part_filter(FilterType.shell) 

    +

    9690 >>> shell_stress = d3plot.arrays[ArrayType.element_shell_stress] 

    +

    9691 >>> shell_stress.shape 

    +

    9692 (34, 7463, 3, 6) 

    +

    9693 >>> # select only parts from part_ids 

    +

    9694 >>> shell_stress_parts = shell_stress[:, mask] 

    +

    9695 """ 

    +

    9696 

    +

    9697 # nodes are treated separately 

    +

    9698 if filter_type == FilterType.NODE: 

    +

    9699 node_index_arrays = [] 

    +

    9700 

    +

    9701 if ArrayType.element_shell_node_indexes in self.arrays: 

    +

    9702 shell_filter = self.get_part_filter( 

    +

    9703 FilterType.SHELL, part_ids, for_state_array=False 

    +

    9704 ) 

    +

    9705 shell_node_indexes = self.arrays[ArrayType.element_shell_node_indexes] 

    +

    9706 node_index_arrays.append(shell_node_indexes[shell_filter].flatten()) 

    +

    9707 

    +

    9708 if ArrayType.element_solid_node_indexes in self.arrays: 

    +

    9709 solid_filter = self.get_part_filter( 

    +

    9710 FilterType.SOLID, part_ids, for_state_array=False 

    +

    9711 ) 

    +

    9712 solid_node_indexes = self.arrays[ArrayType.element_solid_node_indexes] 

    +

    9713 node_index_arrays.append(solid_node_indexes[solid_filter].flatten()) 

    +

    9714 

    +

    9715 if ArrayType.element_tshell_node_indexes in self.arrays: 

    +

    9716 tshell_filter = self.get_part_filter( 

    +

    9717 FilterType.TSHELL, part_ids, for_state_array=False 

    +

    9718 ) 

    +

    9719 tshell_node_indexes = self.arrays[ArrayType.element_tshell_node_indexes] 

    +

    9720 node_index_arrays.append(tshell_node_indexes[tshell_filter].flatten()) 

    +

    9721 

    +

    9722 return np.unique(np.concatenate(node_index_arrays)) 

    +

    9723 

    +

    9724 # we need part ids first 

    +

    9725 if ArrayType.part_ids in self.arrays: 

    +

    9726 d3plot_part_ids = self.arrays[ArrayType.part_ids] 

    +

    9727 elif ArrayType.part_titles_ids in self.arrays: 

    +

    9728 d3plot_part_ids = self.arrays[ArrayType.part_titles_ids] 

    +

    9729 else: 

    +

    9730 msg = "D3plot does neither contain '%s' nor '%s'" 

    +

    9731 raise RuntimeError(msg, ArrayType.part_ids, ArrayType.part_titles_ids) 

    +

    9732 

    +

    9733 # if we filter parts we can stop here 

    +

    9734 if filter_type == FilterType.PART: 

    +

    9735 return np.isin(d3plot_part_ids, part_ids) 

    +

    9736 

    +

    9737 # get part indexes from part ids 

    +

    9738 part_indexes = np.argwhere(np.isin(d3plot_part_ids, part_ids)).flatten() 

    +

    9739 

    +

    9740 # associate part indexes with entities 

    +

    9741 if filter_type == FilterType.BEAM: 

    +

    9742 entity_part_indexes = self.arrays[ArrayType.element_beam_part_indexes] 

    +

    9743 elif filter_type == FilterType.SHELL: 

    +

    9744 entity_part_indexes = self.arrays[ArrayType.element_shell_part_indexes] 

    +

    9745 

    +

    9746 # shells may contain "rigid body shell elements" 

    +

    9747 # for these shells no state data is output and thus 

    +

    9748 # the state arrays have a reduced element count 

    +

    9749 if for_state_array and self._material_section_info.n_rigid_shells != 0: 

    +

    9750 mat_types = self.arrays[ArrayType.part_material_type] 

    +

    9751 mat_type_filter = mat_types[entity_part_indexes] != 20 

    +

    9752 entity_part_indexes = entity_part_indexes[mat_type_filter] 

    +

    9753 

    +

    9754 elif filter_type == FilterType.TSHELL: 

    +

    9755 entity_part_indexes = self.arrays[ArrayType.element_tshell_part_indexes] 

    +

    9756 elif filter_type == FilterType.SOLID: 

    +

    9757 entity_part_indexes = self.arrays[ArrayType.element_solid_part_indexes] 

    +

    9758 else: 

    +

    9759 msg = "Invalid filter_type '%s'. Use lasso.dyna.FilterType." 

    +

    9760 raise ValueError(msg, filter_type) 

    +

    9761 

    +

    9762 mask = np.isin(entity_part_indexes, part_indexes) 

    +

    9763 return mask 

    +

    9764 

    +

    9765 @staticmethod 

    +

    9766 def enable_logger(enable: bool): 

    +

    9767 """Enable the logger for this class 

    +

    9768 

    +

    9769 Parameters 

    +

    9770 ---------- 

    +

    9771 enable: bool 

    +

    9772 whether to enable logging for this class 

    +

    9773 """ 

    +

    9774 

    +

    9775 if enable: 

    +

    9776 LOGGER.setLevel(logging.DEBUG) 

    +

    9777 else: 

    +

    9778 LOGGER.setLevel(logging.NOTSET) 

    +
    + + + diff --git a/coverage/d_233c5ceebba6ed8d_femzip_mapper_py.html b/coverage/d_233c5ceebba6ed8d_femzip_mapper_py.html new file mode 100644 index 0000000..28fd7bb --- /dev/null +++ b/coverage/d_233c5ceebba6ed8d_femzip_mapper_py.html @@ -0,0 +1,969 @@ + + + + + Coverage for lasso/dyna/femzip_mapper.py: 73% + + + + + +
    +
    +

    + Coverage for lasso/dyna/femzip_mapper.py: + 73% +

    + +

    + 228 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import logging 

    +

    2import re 

    +

    3import traceback 

    +

    4from typing import Dict, List, Set, Tuple, Union 

    +

    5 

    +

    6import numpy as np 

    +

    7from lasso.dyna.array_type import ArrayType 

    +

    8from lasso.femzip.femzip_api import FemzipAPI, FemzipFileMetadata, VariableInfo 

    +

    9from lasso.femzip.fz_config import FemzipArrayType, FemzipVariableCategory, get_last_int_of_line 

    +

    10 

    +

    11 

    +

    12TRANSL_FEMZIP_ARRATYPE_TO_D3PLOT_ARRAYTYPE: Dict[ 

    +

    13 Tuple[FemzipArrayType, FemzipVariableCategory], Set[str] 

    +

    14] = { 

    +

    15 # GLOBAL 

    +

    16 (FemzipArrayType.GLOBAL_DATA, FemzipVariableCategory.GLOBAL): { 

    +

    17 # ArrayType.global_timesteps, 

    +

    18 ArrayType.global_internal_energy, 

    +

    19 ArrayType.global_kinetic_energy, 

    +

    20 ArrayType.global_total_energy, 

    +

    21 ArrayType.global_velocity, 

    +

    22 }, 

    +

    23 # PART 

    +

    24 (FemzipArrayType.PART_RESULTS, FemzipVariableCategory.PART): { 

    +

    25 ArrayType.part_hourglass_energy, 

    +

    26 ArrayType.part_internal_energy, 

    +

    27 ArrayType.part_kinetic_energy, 

    +

    28 ArrayType.part_mass, 

    +

    29 ArrayType.part_velocity, 

    +

    30 }, 

    +

    31 # NODE 

    +

    32 (FemzipArrayType.NODE_DISPLACEMENT, FemzipVariableCategory.NODE): {ArrayType.node_displacement}, 

    +

    33 (FemzipArrayType.NODE_ACCELERATIONS, FemzipVariableCategory.NODE): { 

    +

    34 ArrayType.node_acceleration 

    +

    35 }, 

    +

    36 (FemzipArrayType.NODE_VELOCITIES, FemzipVariableCategory.NODE): {ArrayType.node_velocity}, 

    +

    37 (FemzipArrayType.NODE_TEMPERATURES, FemzipVariableCategory.NODE): {ArrayType.node_temperature}, 

    +

    38 (FemzipArrayType.NODE_HEAT_FLUX, FemzipVariableCategory.NODE): {ArrayType.node_heat_flux}, 

    +

    39 (FemzipArrayType.NODE_MASS_SCALING, FemzipVariableCategory.NODE): {ArrayType.node_mass_scaling}, 

    +

    40 (FemzipArrayType.NODE_TEMPERATURE_GRADIENT, FemzipVariableCategory.NODE): { 

    +

    41 ArrayType.node_temperature_gradient 

    +

    42 }, 

    +

    43 # BEAM 

    +

    44 (FemzipArrayType.BEAM_AXIAL_FORCE, FemzipVariableCategory.BEAM): { 

    +

    45 ArrayType.element_beam_axial_force 

    +

    46 }, 

    +

    47 (FemzipArrayType.BEAM_S_BENDING_MOMENT, FemzipVariableCategory.BEAM): { 

    +

    48 ArrayType.element_beam_bending_moment 

    +

    49 }, 

    +

    50 (FemzipArrayType.BEAM_T_BENDING_MOMENT, FemzipVariableCategory.BEAM): { 

    +

    51 ArrayType.element_beam_bending_moment 

    +

    52 }, 

    +

    53 (FemzipArrayType.BEAM_S_SHEAR_RESULTANT, FemzipVariableCategory.BEAM): { 

    +

    54 ArrayType.element_beam_shear_force 

    +

    55 }, 

    +

    56 (FemzipArrayType.BEAM_T_SHEAR_RESULTANT, FemzipVariableCategory.BEAM): { 

    +

    57 ArrayType.element_beam_shear_force 

    +

    58 }, 

    +

    59 (FemzipArrayType.BEAM_TORSIONAL_MOMENT, FemzipVariableCategory.BEAM): { 

    +

    60 ArrayType.element_beam_torsion_moment 

    +

    61 }, 

    +

    62 (FemzipArrayType.BEAM_AXIAL_STRESS, FemzipVariableCategory.BEAM): { 

    +

    63 ArrayType.element_beam_axial_stress 

    +

    64 }, 

    +

    65 (FemzipArrayType.BEAM_SHEAR_STRESS_RS, FemzipVariableCategory.BEAM): { 

    +

    66 ArrayType.element_beam_shear_stress 

    +

    67 }, 

    +

    68 (FemzipArrayType.BEAM_SHEAR_STRESS_TR, FemzipVariableCategory.BEAM): { 

    +

    69 ArrayType.element_beam_shear_stress 

    +

    70 }, 

    +

    71 (FemzipArrayType.BEAM_PLASTIC_STRAIN, FemzipVariableCategory.BEAM): { 

    +

    72 ArrayType.element_beam_plastic_strain 

    +

    73 }, 

    +

    74 (FemzipArrayType.BEAM_AXIAL_STRAIN, FemzipVariableCategory.BEAM): { 

    +

    75 ArrayType.element_beam_axial_strain 

    +

    76 }, 

    +

    77 # SHELL 

    +

    78 (FemzipArrayType.STRESS_X, FemzipVariableCategory.SHELL): {ArrayType.element_shell_stress}, 

    +

    79 (FemzipArrayType.STRESS_Y, FemzipVariableCategory.SHELL): {ArrayType.element_shell_stress}, 

    +

    80 (FemzipArrayType.STRESS_Z, FemzipVariableCategory.SHELL): {ArrayType.element_shell_stress}, 

    +

    81 (FemzipArrayType.STRESS_XY, FemzipVariableCategory.SHELL): {ArrayType.element_shell_stress}, 

    +

    82 (FemzipArrayType.STRESS_YZ, FemzipVariableCategory.SHELL): {ArrayType.element_shell_stress}, 

    +

    83 (FemzipArrayType.STRESS_XZ, FemzipVariableCategory.SHELL): {ArrayType.element_shell_stress}, 

    +

    84 (FemzipArrayType.EFF_PSTRAIN, FemzipVariableCategory.SHELL): { 

    +

    85 ArrayType.element_shell_effective_plastic_strain 

    +

    86 }, 

    +

    87 (FemzipArrayType.HISTORY_VARS, FemzipVariableCategory.SHELL): { 

    +

    88 ArrayType.element_shell_history_vars 

    +

    89 }, 

    +

    90 (FemzipArrayType.BENDING_MOMENT_MX, FemzipVariableCategory.SHELL): { 

    +

    91 ArrayType.element_shell_bending_moment 

    +

    92 }, 

    +

    93 (FemzipArrayType.BENDING_MOMENT_MY, FemzipVariableCategory.SHELL): { 

    +

    94 ArrayType.element_shell_bending_moment 

    +

    95 }, 

    +

    96 (FemzipArrayType.BENDING_MOMENT_MXY, FemzipVariableCategory.SHELL): { 

    +

    97 ArrayType.element_shell_bending_moment 

    +

    98 }, 

    +

    99 (FemzipArrayType.SHEAR_FORCE_X, FemzipVariableCategory.SHELL): { 

    +

    100 ArrayType.element_shell_shear_force 

    +

    101 }, 

    +

    102 (FemzipArrayType.SHEAR_FORCE_Y, FemzipVariableCategory.SHELL): { 

    +

    103 ArrayType.element_shell_shear_force 

    +

    104 }, 

    +

    105 (FemzipArrayType.NORMAL_FORCE_X, FemzipVariableCategory.SHELL): { 

    +

    106 ArrayType.element_shell_normal_force 

    +

    107 }, 

    +

    108 (FemzipArrayType.NORMAL_FORCE_Y, FemzipVariableCategory.SHELL): { 

    +

    109 ArrayType.element_shell_normal_force 

    +

    110 }, 

    +

    111 (FemzipArrayType.NORMAL_FORCE_XY, FemzipVariableCategory.SHELL): { 

    +

    112 ArrayType.element_shell_normal_force 

    +

    113 }, 

    +

    114 (FemzipArrayType.THICKNESS, FemzipVariableCategory.SHELL): {ArrayType.element_shell_thickness}, 

    +

    115 (FemzipArrayType.UNKNOWN_1, FemzipVariableCategory.SHELL): { 

    +

    116 ArrayType.element_shell_unknown_variables 

    +

    117 }, 

    +

    118 (FemzipArrayType.UNKNOWN_2, FemzipVariableCategory.SHELL): { 

    +

    119 ArrayType.element_shell_unknown_variables 

    +

    120 }, 

    +

    121 (FemzipArrayType.STRAIN_INNER_X, FemzipVariableCategory.SHELL): { 

    +

    122 ArrayType.element_shell_strain 

    +

    123 }, 

    +

    124 (FemzipArrayType.STRAIN_INNER_Y, FemzipVariableCategory.SHELL): { 

    +

    125 ArrayType.element_shell_strain 

    +

    126 }, 

    +

    127 (FemzipArrayType.STRAIN_INNER_Z, FemzipVariableCategory.SHELL): { 

    +

    128 ArrayType.element_shell_strain 

    +

    129 }, 

    +

    130 (FemzipArrayType.STRAIN_INNER_XY, FemzipVariableCategory.SHELL): { 

    +

    131 ArrayType.element_shell_strain 

    +

    132 }, 

    +

    133 (FemzipArrayType.STRAIN_INNER_YZ, FemzipVariableCategory.SHELL): { 

    +

    134 ArrayType.element_shell_strain 

    +

    135 }, 

    +

    136 (FemzipArrayType.STRAIN_INNER_XZ, FemzipVariableCategory.SHELL): { 

    +

    137 ArrayType.element_shell_strain 

    +

    138 }, 

    +

    139 (FemzipArrayType.STRAIN_OUTER_X, FemzipVariableCategory.SHELL): { 

    +

    140 ArrayType.element_shell_strain 

    +

    141 }, 

    +

    142 (FemzipArrayType.STRAIN_OUTER_Y, FemzipVariableCategory.SHELL): { 

    +

    143 ArrayType.element_shell_strain 

    +

    144 }, 

    +

    145 (FemzipArrayType.STRAIN_OUTER_Z, FemzipVariableCategory.SHELL): { 

    +

    146 ArrayType.element_shell_strain 

    +

    147 }, 

    +

    148 (FemzipArrayType.STRAIN_OUTER_XY, FemzipVariableCategory.SHELL): { 

    +

    149 ArrayType.element_shell_strain 

    +

    150 }, 

    +

    151 (FemzipArrayType.STRAIN_OUTER_YZ, FemzipVariableCategory.SHELL): { 

    +

    152 ArrayType.element_shell_strain 

    +

    153 }, 

    +

    154 (FemzipArrayType.STRAIN_OUTER_XZ, FemzipVariableCategory.SHELL): { 

    +

    155 ArrayType.element_shell_strain 

    +

    156 }, 

    +

    157 (FemzipArrayType.INTERNAL_ENERGY, FemzipVariableCategory.SHELL): { 

    +

    158 ArrayType.element_shell_internal_energy 

    +

    159 }, 

    +

    160 # THICK SHELL 

    +

    161 (FemzipArrayType.STRESS_X, FemzipVariableCategory.THICK_SHELL): { 

    +

    162 ArrayType.element_tshell_stress 

    +

    163 }, 

    +

    164 (FemzipArrayType.STRESS_Y, FemzipVariableCategory.THICK_SHELL): { 

    +

    165 ArrayType.element_tshell_stress 

    +

    166 }, 

    +

    167 (FemzipArrayType.STRESS_Z, FemzipVariableCategory.THICK_SHELL): { 

    +

    168 ArrayType.element_tshell_stress 

    +

    169 }, 

    +

    170 (FemzipArrayType.STRESS_XY, FemzipVariableCategory.THICK_SHELL): { 

    +

    171 ArrayType.element_tshell_stress 

    +

    172 }, 

    +

    173 (FemzipArrayType.STRESS_YZ, FemzipVariableCategory.THICK_SHELL): { 

    +

    174 ArrayType.element_tshell_stress 

    +

    175 }, 

    +

    176 (FemzipArrayType.STRESS_XZ, FemzipVariableCategory.THICK_SHELL): { 

    +

    177 ArrayType.element_tshell_stress 

    +

    178 }, 

    +

    179 (FemzipArrayType.EFF_PSTRAIN, FemzipVariableCategory.THICK_SHELL): { 

    +

    180 ArrayType.element_tshell_effective_plastic_strain 

    +

    181 }, 

    +

    182 (FemzipArrayType.STRAIN_OUTER_X, FemzipVariableCategory.THICK_SHELL): { 

    +

    183 ArrayType.element_tshell_strain 

    +

    184 }, 

    +

    185 (FemzipArrayType.STRAIN_OUTER_Y, FemzipVariableCategory.THICK_SHELL): { 

    +

    186 ArrayType.element_tshell_strain 

    +

    187 }, 

    +

    188 (FemzipArrayType.STRAIN_OUTER_Z, FemzipVariableCategory.THICK_SHELL): { 

    +

    189 ArrayType.element_tshell_strain 

    +

    190 }, 

    +

    191 (FemzipArrayType.STRAIN_OUTER_XY, FemzipVariableCategory.THICK_SHELL): { 

    +

    192 ArrayType.element_tshell_strain 

    +

    193 }, 

    +

    194 (FemzipArrayType.STRAIN_OUTER_YZ, FemzipVariableCategory.THICK_SHELL): { 

    +

    195 ArrayType.element_tshell_strain 

    +

    196 }, 

    +

    197 (FemzipArrayType.STRAIN_OUTER_XZ, FemzipVariableCategory.THICK_SHELL): { 

    +

    198 ArrayType.element_tshell_strain 

    +

    199 }, 

    +

    200 (FemzipArrayType.STRAIN_INNER_X, FemzipVariableCategory.THICK_SHELL): { 

    +

    201 ArrayType.element_tshell_strain 

    +

    202 }, 

    +

    203 (FemzipArrayType.STRAIN_INNER_Y, FemzipVariableCategory.THICK_SHELL): { 

    +

    204 ArrayType.element_tshell_strain 

    +

    205 }, 

    +

    206 (FemzipArrayType.STRAIN_INNER_Z, FemzipVariableCategory.THICK_SHELL): { 

    +

    207 ArrayType.element_tshell_strain 

    +

    208 }, 

    +

    209 (FemzipArrayType.STRAIN_INNER_XY, FemzipVariableCategory.THICK_SHELL): { 

    +

    210 ArrayType.element_tshell_strain 

    +

    211 }, 

    +

    212 (FemzipArrayType.STRAIN_INNER_YZ, FemzipVariableCategory.THICK_SHELL): { 

    +

    213 ArrayType.element_tshell_strain 

    +

    214 }, 

    +

    215 (FemzipArrayType.STRAIN_INNER_XZ, FemzipVariableCategory.THICK_SHELL): { 

    +

    216 ArrayType.element_tshell_strain 

    +

    217 }, 

    +

    218 # SOLID 

    +

    219 (FemzipArrayType.STRESS_X, FemzipVariableCategory.SOLID): {ArrayType.element_solid_stress}, 

    +

    220 (FemzipArrayType.STRESS_Y, FemzipVariableCategory.SOLID): {ArrayType.element_solid_stress}, 

    +

    221 (FemzipArrayType.STRESS_Z, FemzipVariableCategory.SOLID): {ArrayType.element_solid_stress}, 

    +

    222 (FemzipArrayType.STRESS_XY, FemzipVariableCategory.SOLID): {ArrayType.element_solid_stress}, 

    +

    223 (FemzipArrayType.STRESS_YZ, FemzipVariableCategory.SOLID): {ArrayType.element_solid_stress}, 

    +

    224 (FemzipArrayType.STRESS_XZ, FemzipVariableCategory.SOLID): {ArrayType.element_solid_stress}, 

    +

    225 (FemzipArrayType.EFF_PSTRAIN, FemzipVariableCategory.SOLID): { 

    +

    226 ArrayType.element_solid_effective_plastic_strain 

    +

    227 }, 

    +

    228 (FemzipArrayType.HISTORY_VARS, FemzipVariableCategory.SOLID): { 

    +

    229 ArrayType.element_solid_history_variables 

    +

    230 }, 

    +

    231 (FemzipArrayType.STRAIN_X, FemzipVariableCategory.SOLID): {ArrayType.element_solid_strain}, 

    +

    232 (FemzipArrayType.STRAIN_Y, FemzipVariableCategory.SOLID): {ArrayType.element_solid_strain}, 

    +

    233 (FemzipArrayType.STRAIN_Z, FemzipVariableCategory.SOLID): {ArrayType.element_solid_strain}, 

    +

    234 (FemzipArrayType.STRAIN_XY, FemzipVariableCategory.SOLID): {ArrayType.element_solid_strain}, 

    +

    235 (FemzipArrayType.STRAIN_YZ, FemzipVariableCategory.SOLID): {ArrayType.element_solid_strain}, 

    +

    236 (FemzipArrayType.STRAIN_XZ, FemzipVariableCategory.SOLID): {ArrayType.element_solid_strain}, 

    +

    237 (FemzipArrayType.STRAIN_X, FemzipVariableCategory.SOLID): {ArrayType.element_solid_strain}, 

    +

    238 (FemzipArrayType.STRAIN_Y, FemzipVariableCategory.SOLID): {ArrayType.element_solid_strain}, 

    +

    239 (FemzipArrayType.STRAIN_Z, FemzipVariableCategory.SOLID): {ArrayType.element_solid_strain}, 

    +

    240 (FemzipArrayType.STRAIN_XY, FemzipVariableCategory.SOLID): {ArrayType.element_solid_strain}, 

    +

    241 (FemzipArrayType.STRAIN_YZ, FemzipVariableCategory.SOLID): {ArrayType.element_solid_strain}, 

    +

    242 (FemzipArrayType.STRAIN_XZ, FemzipVariableCategory.SOLID): {ArrayType.element_solid_strain}, 

    +

    243 # AIRBAG 

    +

    244 (FemzipArrayType.AIRBAG_STATE_GEOM, FemzipVariableCategory.CPM_AIRBAG): { 

    +

    245 ArrayType.airbag_n_active_particles, 

    +

    246 ArrayType.airbag_bag_volume, 

    +

    247 }, 

    +

    248 # AIRBAG PARTICLES 

    +

    249 (FemzipArrayType.AIRBAG_PARTICLE_GAS_CHAMBER_ID, FemzipVariableCategory.CPM_INT_VAR): { 

    +

    250 ArrayType.airbag_particle_gas_id 

    +

    251 }, 

    +

    252 (FemzipArrayType.AIRBAG_PARTICLE_CHAMBER_ID, FemzipVariableCategory.CPM_INT_VAR): { 

    +

    253 ArrayType.airbag_particle_chamber_id 

    +

    254 }, 

    +

    255 (FemzipArrayType.AIRBAG_PARTICLE_LEAKAGE, FemzipVariableCategory.CPM_INT_VAR): { 

    +

    256 ArrayType.airbag_particle_leakage 

    +

    257 }, 

    +

    258 (FemzipArrayType.AIRBAG_PARTICLE_MASS, FemzipVariableCategory.CPM_FLOAT_VAR): { 

    +

    259 ArrayType.airbag_particle_mass 

    +

    260 }, 

    +

    261 (FemzipArrayType.AIRBAG_PARTICLE_POS_X, FemzipVariableCategory.CPM_FLOAT_VAR): { 

    +

    262 ArrayType.airbag_particle_position 

    +

    263 }, 

    +

    264 (FemzipArrayType.AIRBAG_PARTICLE_POS_Y, FemzipVariableCategory.CPM_FLOAT_VAR): { 

    +

    265 ArrayType.airbag_particle_position 

    +

    266 }, 

    +

    267 (FemzipArrayType.AIRBAG_PARTICLE_POS_Z, FemzipVariableCategory.CPM_FLOAT_VAR): { 

    +

    268 ArrayType.airbag_particle_position 

    +

    269 }, 

    +

    270 (FemzipArrayType.AIRBAG_PARTICLE_VEL_X, FemzipVariableCategory.CPM_FLOAT_VAR): { 

    +

    271 ArrayType.airbag_particle_velocity 

    +

    272 }, 

    +

    273 (FemzipArrayType.AIRBAG_PARTICLE_VEL_Y, FemzipVariableCategory.CPM_FLOAT_VAR): { 

    +

    274 ArrayType.airbag_particle_velocity 

    +

    275 }, 

    +

    276 (FemzipArrayType.AIRBAG_PARTICLE_VEL_Z, FemzipVariableCategory.CPM_FLOAT_VAR): { 

    +

    277 ArrayType.airbag_particle_velocity 

    +

    278 }, 

    +

    279 (FemzipArrayType.AIRBAG_PARTICLE_RADIUS, FemzipVariableCategory.CPM_FLOAT_VAR): { 

    +

    280 ArrayType.airbag_particle_radius 

    +

    281 }, 

    +

    282 (FemzipArrayType.AIRBAG_PARTICLE_SPIN_ENERGY, FemzipVariableCategory.CPM_FLOAT_VAR): { 

    +

    283 ArrayType.airbag_particle_spin_energy 

    +

    284 }, 

    +

    285 (FemzipArrayType.AIRBAG_PARTICLE_TRAN_ENERGY, FemzipVariableCategory.CPM_FLOAT_VAR): { 

    +

    286 ArrayType.airbag_particle_translation_energy 

    +

    287 }, 

    +

    288 (FemzipArrayType.AIRBAG_PARTICLE_NEIGHBOR_DIST, FemzipVariableCategory.CPM_FLOAT_VAR): { 

    +

    289 ArrayType.airbag_particle_nearest_segment_distance 

    +

    290 }, 

    +

    291} 

    +

    292 

    +

    293# indexes for various femzip arrays 

    +

    294stress_index = { 

    +

    295 FemzipArrayType.STRESS_X.value: 0, 

    +

    296 FemzipArrayType.STRESS_Y.value: 1, 

    +

    297 FemzipArrayType.STRESS_Z.value: 2, 

    +

    298 FemzipArrayType.STRESS_XY.value: 3, 

    +

    299 FemzipArrayType.STRESS_YZ.value: 4, 

    +

    300 FemzipArrayType.STRESS_XZ.value: 5, 

    +

    301 FemzipArrayType.NORMAL_FORCE_X.value: 0, 

    +

    302 FemzipArrayType.NORMAL_FORCE_Y.value: 1, 

    +

    303 FemzipArrayType.NORMAL_FORCE_XY.value: 2, 

    +

    304 FemzipArrayType.SHEAR_FORCE_X.value: 0, 

    +

    305 FemzipArrayType.SHEAR_FORCE_Y.value: 1, 

    +

    306 FemzipArrayType.STRAIN_INNER_X.value: 0, 

    +

    307 FemzipArrayType.STRAIN_INNER_Y.value: 1, 

    +

    308 FemzipArrayType.STRAIN_INNER_Z.value: 2, 

    +

    309 FemzipArrayType.STRAIN_INNER_XY.value: 3, 

    +

    310 FemzipArrayType.STRAIN_INNER_YZ.value: 4, 

    +

    311 FemzipArrayType.STRAIN_INNER_XZ.value: 5, 

    +

    312 FemzipArrayType.STRAIN_OUTER_X.value: 0, 

    +

    313 FemzipArrayType.STRAIN_OUTER_Y.value: 1, 

    +

    314 FemzipArrayType.STRAIN_OUTER_Z.value: 2, 

    +

    315 FemzipArrayType.STRAIN_OUTER_XY.value: 3, 

    +

    316 FemzipArrayType.STRAIN_OUTER_YZ.value: 4, 

    +

    317 FemzipArrayType.STRAIN_OUTER_XZ.value: 5, 

    +

    318 FemzipArrayType.BEAM_S_SHEAR_RESULTANT.value: 0, 

    +

    319 FemzipArrayType.BEAM_T_SHEAR_RESULTANT.value: 1, 

    +

    320 FemzipArrayType.BEAM_S_BENDING_MOMENT.value: 0, 

    +

    321 FemzipArrayType.BEAM_T_BENDING_MOMENT.value: 1, 

    +

    322 FemzipArrayType.STRAIN_X.value: 0, 

    +

    323 FemzipArrayType.STRAIN_Y.value: 1, 

    +

    324 FemzipArrayType.STRAIN_Z.value: 2, 

    +

    325 FemzipArrayType.STRAIN_XY.value: 3, 

    +

    326 FemzipArrayType.STRAIN_YZ.value: 4, 

    +

    327 FemzipArrayType.STRAIN_XZ.value: 5, 

    +

    328 FemzipArrayType.BEAM_SHEAR_STRESS_RS.value: 0, 

    +

    329 FemzipArrayType.BEAM_SHEAR_STRESS_TR.value: 1, 

    +

    330 FemzipArrayType.AIRBAG_PARTICLE_POS_X.value: 0, 

    +

    331 FemzipArrayType.AIRBAG_PARTICLE_POS_Y.value: 1, 

    +

    332 FemzipArrayType.AIRBAG_PARTICLE_POS_Z.value: 2, 

    +

    333 FemzipArrayType.AIRBAG_PARTICLE_VEL_X.value: 0, 

    +

    334 FemzipArrayType.AIRBAG_PARTICLE_VEL_Y.value: 1, 

    +

    335 FemzipArrayType.AIRBAG_PARTICLE_VEL_Z.value: 2, 

    +

    336 FemzipArrayType.BENDING_MOMENT_MX.value: 0, 

    +

    337 FemzipArrayType.BENDING_MOMENT_MY.value: 1, 

    +

    338 FemzipArrayType.BENDING_MOMENT_MXY.value: 2, 

    +

    339 FemzipArrayType.UNKNOWN_1.value: 0, 

    +

    340 FemzipArrayType.UNKNOWN_2.value: 1, 

    +

    341} 

    +

    342 

    +

    343 

    +

    344def femzip_to_d3plot( 

    +

    345 result_arrays: Dict[Tuple[int, str, FemzipVariableCategory], np.ndarray] 

    +

    346) -> Dict[str, np.ndarray]: 

    +

    347 """Map femzip arrays to d3plot arrays 

    +

    348 

    +

    349 Parameters 

    +

    350 ---------- 

    +

    351 result_arrays: 

    +

    352 femzip arrays 

    +

    353 """ 

    +

    354 mapper = FemzipMapper() 

    +

    355 mapper.map(result_arrays) 

    +

    356 

    +

    357 return mapper.d3plot_arrays 

    +

    358 

    +

    359 

    +

    360class ArrayShapeInfo: 

    +

    361 """ArrayShapeInfo describes the shape of arrays""" 

    +

    362 

    +

    363 n_layers: Union[int, None] = None 

    +

    364 n_vars: Union[int, None] = None 

    +

    365 n_entries: Union[int, None] = None 

    +

    366 n_timesteps: Union[int, None] = None 

    +

    367 

    +

    368 def _set_attr(self, attr_name: str, value: Union[int, None]) -> None: 

    +

    369 self_attr_value = getattr(self, attr_name) 

    +

    370 if value is not None: 

    +

    371 if self_attr_value is None: 

    +

    372 setattr(self, attr_name, value) 

    +

    373 else: 

    +

    374 setattr(self, attr_name, max(self_attr_value, value)) 

    +

    375 

    +

    376 def set_n_layers(self, n_layers: Union[int, None]) -> None: 

    +

    377 """Set the number of layers 

    +

    378 

    +

    379 Parameters 

    +

    380 ---------- 

    +

    381 n_layers : Union[int, None] 

    +

    382 number of layers 

    +

    383 """ 

    +

    384 self._set_attr("n_layers", n_layers) 

    +

    385 

    +

    386 def set_n_vars(self, n_vars: Union[int, None]) -> None: 

    +

    387 """Set the number of variables 

    +

    388 

    +

    389 Parameters 

    +

    390 ---------- 

    +

    391 n_vars : Union[int, None] 

    +

    392 number of variables 

    +

    393 """ 

    +

    394 self._set_attr("n_vars", n_vars) 

    +

    395 

    +

    396 def set_n_entries(self, n_entries: Union[int, None]) -> None: 

    +

    397 """Set the number of entries 

    +

    398 

    +

    399 Parameters 

    +

    400 ---------- 

    +

    401 n_vars : Union[int, None] 

    +

    402 number of entries 

    +

    403 """ 

    +

    404 self._set_attr("n_entries", n_entries) 

    +

    405 

    +

    406 def set_n_timesteps(self, n_timesteps: Union[int, None]) -> None: 

    +

    407 """Set the number of timesteps 

    +

    408 

    +

    409 Parameters 

    +

    410 ---------- 

    +

    411 n_vars : Union[int, None] 

    +

    412 number of timesteps 

    +

    413 """ 

    +

    414 self._set_attr("n_timesteps", n_timesteps) 

    +

    415 

    +

    416 def to_shape(self) -> Tuple[int, ...]: 

    +

    417 """Set the number of variables 

    +

    418 

    +

    419 Returns 

    +

    420 ---------- 

    +

    421 shape : Tuple[int, ...] 

    +

    422 total shape 

    +

    423 """ 

    +

    424 

    +

    425 shape = [self.n_timesteps, self.n_entries] 

    +

    426 fortran_offset = 1 

    +

    427 if self.n_layers is not None: 

    +

    428 shape.append(self.n_layers + fortran_offset) 

    +

    429 if self.n_vars is not None: 

    +

    430 shape.append(self.n_vars + fortran_offset) 

    +

    431 return tuple(shape) 

    +

    432 

    +

    433 

    +

    434class D3plotArrayMapping: 

    +

    435 """D3plotArrayMapping maps femzip arrays to d3plot arrays""" 

    +

    436 

    +

    437 d3plot_array_type: str 

    +

    438 d3_layer_slice: Union[slice, int, None] = None 

    +

    439 d3_var_slice: Union[slice, int, None] = None 

    +

    440 

    +

    441 fz_layer_slice: Union[slice, int, None] = None 

    +

    442 fz_var_slice: Union[slice, int, None] = None 

    +

    443 

    +

    444 just_assign: bool = False 

    +

    445 

    +

    446 def to_slice(self) -> Tuple[Union[int, slice], ...]: 

    +

    447 """Get the slices mapping a femzip array to a d3plot array 

    +

    448 

    +

    449 Returns 

    +

    450 ------- 

    +

    451 slices: Tuple[Union[int, slice], ...] 

    +

    452 """ 

    +

    453 slices: List[Union[slice, int]] = [slice(None), slice(None)] 

    +

    454 if self.d3_layer_slice is not None: 

    +

    455 slices.append(self.d3_layer_slice) 

    +

    456 if self.d3_var_slice is not None: 

    +

    457 slices.append(self.d3_var_slice) 

    +

    458 return tuple(slices) 

    +

    459 

    +

    460 

    +

    461class FemzipArrayInfo: 

    +

    462 """FemzipArrayInfo contains information about the femzip array""" 

    +

    463 

    +

    464 # pylint: disable = too-many-instance-attributes 

    +

    465 

    +

    466 full_name: str = "" 

    +

    467 short_name: str = "" 

    +

    468 index: int = -1 

    +

    469 category: FemzipVariableCategory 

    +

    470 array_type: FemzipArrayType 

    +

    471 array: np.ndarray 

    +

    472 

    +

    473 i_layer: Union[int, None] = None 

    +

    474 i_var: Union[int, None] = None 

    +

    475 

    +

    476 mappings: List[D3plotArrayMapping] 

    +

    477 

    +

    478 def __init__(self): 

    +

    479 self.mappings = [] 

    +

    480 

    +

    481 def __str__(self) -> str: 

    +

    482 return f"""FemzipArrayInfo: 

    +

    483 full_name = {self.full_name} 

    +

    484 short_name = {self.short_name} 

    +

    485 index = {self.index} 

    +

    486 category = {self.category} 

    +

    487 array_type = {self.array_type}> 

    +

    488 i_layer = {self.i_layer} 

    +

    489 i_var = {self.i_var}""" 

    +

    490 

    +

    491 

    +

    492class FemzipMapper: 

    +

    493 """Class for mapping femzip variable data to d3plots.""" 

    +

    494 

    +

    495 # regex pattern for reading variables 

    +

    496 name_separation_pattern = re.compile(r"(^[^(\n]+)(\([^\)]+\))*") 

    +

    497 

    +

    498 FORTRAN_OFFSET: int = 1 

    +

    499 

    +

    500 _d3plot_arrays: Dict[str, np.ndarray] = {} 

    +

    501 _fz_array_slices = {} 

    +

    502 

    +

    503 def __init__(self): 

    +

    504 pass 

    +

    505 

    +

    506 def map(self, result_arrays: Dict[Tuple[int, str, FemzipVariableCategory], np.ndarray]): 

    +

    507 """Map femzip data to d3plot arrays. 

    +

    508 

    +

    509 Parameters 

    +

    510 ---------- 

    +

    511 result_arrays: 

    +

    512 femzip variable data 

    +

    513 """ 

    +

    514 self._d3plot_arrays = {} 

    +

    515 self._fz_array_slices = {} 

    +

    516 

    +

    517 # convert to internal datastructure 

    +

    518 array_infos = self._convert(result_arrays) 

    +

    519 

    +

    520 # build the array shapes 

    +

    521 d3plot_array_shapes = self._build(array_infos) 

    +

    522 

    +

    523 # init the numpy arrays 

    +

    524 self._d3plot_arrays = self._allocate_d3plot_arrays(d3plot_array_shapes) 

    +

    525 

    +

    526 # add all the data to its right place 

    +

    527 self._map_arrays(array_infos, self._d3plot_arrays) 

    +

    528 

    +

    529 def _convert( 

    +

    530 self, result_arrays: Dict[Tuple[int, str, FemzipVariableCategory], np.ndarray] 

    +

    531 ) -> List[FemzipArrayInfo]: 

    +

    532 """Convert femzip result arrays into array infos 

    +

    533 

    +

    534 Parameters 

    +

    535 ---------- 

    +

    536 result_arrays: Dict[Tuple[int, str, FemzipVariableCategory], np.ndarray] 

    +

    537 result arrays from femzip 

    +

    538 

    +

    539 Returns 

    +

    540 ------- 

    +

    541 array_infos: List[FemzipArrayInfo] 

    +

    542 infos about femzip arrays 

    +

    543 """ 

    +

    544 

    +

    545 array_infos = [] 

    +

    546 

    +

    547 # convert 

    +

    548 for (fz_index, fz_name, fz_cat), array in result_arrays.items(): 

    +

    549 femzip_array_info = FemzipArrayInfo() 

    +

    550 femzip_array_info.index = fz_index 

    +

    551 femzip_array_info.full_name = fz_name 

    +

    552 femzip_array_info.category = fz_cat 

    +

    553 femzip_array_info.array = array 

    +

    554 femzip_array_info.array_type = FemzipArrayType.from_string(fz_name) 

    +

    555 

    +

    556 var_name, i_layer, i_stress, i_history = self._parse_femzip_name(fz_name, fz_cat) 

    +

    557 

    +

    558 femzip_array_info.short_name = var_name 

    +

    559 femzip_array_info.i_layer = i_layer 

    +

    560 femzip_array_info.i_var = i_stress if i_stress is not None else i_history 

    +

    561 

    +

    562 array_infos.append(femzip_array_info) 

    +

    563 

    +

    564 return array_infos 

    +

    565 

    +

    566 @staticmethod 

    +

    567 def _build(fz_arrays: List[FemzipArrayInfo]) -> Dict[str, Tuple[int, ...]]: 

    +

    568 """Counts the occurrence of all variables in the result array such as the 

    +

    569 number of layers and stresses. 

    +

    570 

    +

    571 Parameters 

    +

    572 --------- 

    +

    573 fz_arrays: List[FemzipArrayInfo] 

    +

    574 infos about femzip arrays 

    +

    575 

    +

    576 Returns 

    +

    577 ------- 

    +

    578 d3plot_array_shapes: 

    +

    579 shapes of the d3plot arrays required to be allocated 

    +

    580 

    +

    581 Notes 

    +

    582 ----- 

    +

    583 Some variables only have partial stress results written for Sigma-x and Sigma-y 

    +

    584 and layers one to three for example. 

    +

    585 """ 

    +

    586 shape_infos: Dict[str, ArrayShapeInfo] = {} 

    +

    587 name_count: Dict[Tuple[str, FemzipVariableCategory], int] = {} 

    +

    588 

    +

    589 for arr_info in fz_arrays: 

    +

    590 # print(arr_info) 

    +

    591 

    +

    592 d3_array_types = TRANSL_FEMZIP_ARRATYPE_TO_D3PLOT_ARRAYTYPE[ 

    +

    593 (arr_info.array_type, arr_info.category) 

    +

    594 ] 

    +

    595 

    +

    596 # var_name = var_name.strip() 

    +

    597 for array_type in d3_array_types: 

    +

    598 # print(array_type) 

    +

    599 array_shape_info = shape_infos.get(array_type) or ArrayShapeInfo() 

    +

    600 

    +

    601 # beam layer vars always have same name but 

    +

    602 # must be counted up as layers 

    +

    603 if (arr_info.full_name, arr_info.category) in name_count: 

    +

    604 count = name_count[(arr_info.full_name, arr_info.category)] 

    +

    605 i_layer = count + 1 

    +

    606 name_count[(arr_info.full_name, arr_info.category)] = i_layer 

    +

    607 else: 

    +

    608 name_count[(arr_info.full_name, arr_info.category)] = 0 

    +

    609 

    +

    610 # update shape 

    +

    611 array_shape_info.set_n_timesteps(arr_info.array.shape[0]) 

    +

    612 array_shape_info.set_n_entries(arr_info.array.shape[1]) 

    +

    613 array_shape_info.set_n_layers(arr_info.i_layer) 

    +

    614 array_shape_info.set_n_vars(arr_info.i_var) 

    +

    615 

    +

    616 shape_infos[array_type] = array_shape_info 

    +

    617 

    +

    618 # where to put it 

    +

    619 mapping = D3plotArrayMapping() 

    +

    620 mapping.d3plot_array_type = array_type 

    +

    621 if arr_info.i_layer is not None: 

    +

    622 mapping.d3_layer_slice = arr_info.i_layer 

    +

    623 if arr_info.i_var is not None: 

    +

    624 mapping.d3_var_slice = arr_info.i_var 

    +

    625 # arrays to copy: 

    +

    626 # - node displacement, velocity, acceleration 

    +

    627 # - airbag integer vars (so we don't need to cast) 

    +

    628 if ( 

    +

    629 arr_info.array.ndim == 3 

    +

    630 or arr_info.category == FemzipVariableCategory.CPM_INT_VAR 

    +

    631 ): 

    +

    632 mapping.just_assign = True 

    +

    633 

    +

    634 arr_info.mappings.append(mapping) 

    +

    635 

    +

    636 # correct layers 

    +

    637 # if a field has the same name for multiple 

    +

    638 # layers such as beam axial stress, we needed 

    +

    639 # to count in order to determine if it had layers 

    +

    640 # now we need to correct i_layers from None to 0 for them 

    +

    641 name_count2 = {} 

    +

    642 for arr_info in fz_arrays: 

    +

    643 count = name_count[(arr_info.full_name, arr_info.category)] 

    +

    644 

    +

    645 if count != 0 and arr_info.i_layer is None: 

    +

    646 count2 = name_count2.get((arr_info.full_name, arr_info.category), -1) 

    +

    647 count2 += 1 

    +

    648 arr_info.i_layer = count2 

    +

    649 name_count2[(arr_info.full_name, arr_info.category)] = count2 

    +

    650 

    +

    651 for mapping in arr_info.mappings: 

    +

    652 shape_info = shape_infos[mapping.d3plot_array_type] 

    +

    653 shape_info.set_n_layers(count) 

    +

    654 mapping.d3_layer_slice = count2 

    +

    655 

    +

    656 # all arrays which are simply copied (slice has len 2 and only one target) 

    +

    657 # get a just assign flag 

    +

    658 if len(arr_info.mappings) == 2 and len(arr_info.mappings[0].to_slice()) == 2: 

    +

    659 arr_info.mappings[0].just_assign = True 

    +

    660 

    +

    661 d3_array_types = TRANSL_FEMZIP_ARRATYPE_TO_D3PLOT_ARRAYTYPE[ 

    +

    662 (arr_info.array_type, arr_info.category) 

    +

    663 ] 

    +

    664 

    +

    665 for array_type in d3_array_types: 

    +

    666 del shape_infos[array_type] 

    +

    667 

    +

    668 return {name: info.to_shape() for name, info in shape_infos.items()} 

    +

    669 

    +

    670 def _map_arrays(self, array_infos: List[FemzipArrayInfo], d3plot_arrays: Dict[str, np.ndarray]): 

    +

    671 """Allocate a femzip variable to its correct position in 

    +

    672 the d3plot array dictionary. 

    +

    673 

    +

    674 Parameters 

    +

    675 --------- 

    +

    676 array_infos: List[FemzipArrayInfo] 

    +

    677 femzip variables stored in a dictionary 

    +

    678 d3plot_arrays: Dict[str, np.ndarray] 

    +

    679 d3plot arrays pre-allocated 

    +

    680 

    +

    681 Notes 

    +

    682 ----- 

    +

    683 The keys are the femzip array name (un-parsed) 

    +

    684 and the category of the variable as an enum. 

    +

    685 """ 

    +

    686 for arr_info in array_infos: 

    +

    687 if arr_info.category == FemzipVariableCategory.CPM_AIRBAG: 

    +

    688 d3plot_arrays[ArrayType.airbag_n_active_particles] = arr_info.array[:, :, 0].view( 

    +

    689 np.int32 

    +

    690 ) 

    +

    691 d3plot_arrays[ArrayType.airbag_bag_volume] = arr_info.array[:, :, 1] 

    +

    692 else: 

    +

    693 for mapping in arr_info.mappings: 

    +

    694 if mapping.just_assign: 

    +

    695 d3plot_arrays[mapping.d3plot_array_type] = arr_info.array 

    +

    696 continue 

    +

    697 

    +

    698 slices = mapping.to_slice() 

    +

    699 d3plot_array = d3plot_arrays[mapping.d3plot_array_type] 

    +

    700 

    +

    701 # for femzip arrays with same name first var_index is missing 

    +

    702 if d3plot_array.ndim == 3 and len(slices) == 2 and arr_info.array.ndim == 2: 

    +

    703 slices = (*slices, 0) 

    +

    704 

    +

    705 d3plot_array[slices] = arr_info.array 

    +

    706 

    +

    707 def _allocate_d3plot_arrays( 

    +

    708 self, array_shapes: Dict[str, Tuple[int, ...]] 

    +

    709 ) -> Dict[str, np.ndarray]: 

    +

    710 """Initialize all the d3plot arrays. 

    +

    711 

    +

    712 Parameters 

    +

    713 ---------- 

    +

    714 array_shapes: array_shapes: Dict[str, Tuple[int, ...]] 

    +

    715 array shapes required to be allocated 

    +

    716 

    +

    717 Returns 

    +

    718 ------- 

    +

    719 d3plot_arrays: Dict[str, np.ndarray] 

    +

    720 d3plot arrays pre-allocated 

    +

    721 """ 

    +

    722 d3plot_arrays = {} 

    +

    723 for key, shape in array_shapes.items(): 

    +

    724 d3plot_arrays[key] = np.empty(shape, dtype=np.float32) 

    +

    725 return d3plot_arrays 

    +

    726 

    +

    727 @property 

    +

    728 def d3plot_arrays(self): 

    +

    729 """Returns the mapped d3plot arrays.""" 

    +

    730 return self._d3plot_arrays 

    +

    731 

    +

    732 def _parse_femzip_name( 

    +

    733 self, fz_name: str, var_type: FemzipVariableCategory 

    +

    734 ) -> Tuple[str, Union[int, None], Union[int, None], Union[int, None]]: 

    +

    735 """Parses the femzip variable names. 

    +

    736 

    +

    737 Parameters 

    +

    738 ---------- 

    +

    739 fz_name: 

    +

    740 cryptic femzip variable name we need to parse 

    +

    741 var_type: 

    +

    742 the category of this variable e.g. shells, parts, global etc. 

    +

    743 

    +

    744 Returns 

    +

    745 ------- 

    +

    746 var_name: 

    +

    747 femzip variable name without integration and layer info 

    +

    748 i_layer: 

    +

    749 layer index 

    +

    750 i_stress: 

    +

    751 stress index 

    +

    752 i_history: 

    +

    753 history variable index 

    +

    754 """ 

    +

    755 matches = self.name_separation_pattern.findall(fz_name) 

    +

    756 if not len(matches) == 1: 

    +

    757 err_msg = "Could not match femzip array name: {0}" 

    +

    758 raise ValueError(err_msg.format(fz_name)) 

    +

    759 if not len(matches[0]) == 2: 

    +

    760 err_msg = "Could not match femzip array name: {0}" 

    +

    761 raise ValueError(err_msg.format(fz_name)) 

    +

    762 

    +

    763 (first_grp, second_grp) = matches[0] 

    +

    764 var_name, extra_value = get_last_int_of_line(first_grp) 

    +

    765 var_name = var_name.strip() 

    +

    766 

    +

    767 # the slice 1:-1 leaves out the brackets '(' and ')' 

    +

    768 _, i_layer = get_last_int_of_line(second_grp[1:-1]) 

    +

    769 

    +

    770 if i_layer is not None: 

    +

    771 i_layer -= self.FORTRAN_OFFSET 

    +

    772 

    +

    773 i_history: Union[int, None] = None 

    +

    774 

    +

    775 if var_type != FemzipVariableCategory.PART or var_type != FemzipVariableCategory.GLOBAL: 

    +

    776 i_history = extra_value 

    +

    777 

    +

    778 if i_history: 

    +

    779 i_history -= self.FORTRAN_OFFSET 

    +

    780 

    +

    781 # set var name to the un-formatted femzip array type name 

    +

    782 if "Epsilon" in var_name: 

    +

    783 var_name = fz_name.strip() 

    +

    784 if "inner" in var_name: 

    +

    785 i_layer = 0 

    +

    786 elif "outer" in var_name: 

    +

    787 i_layer = 1 

    +

    788 else: 

    +

    789 # solid strain 

    +

    790 i_layer = 0 

    +

    791 

    +

    792 i_stress: Union[int, None] = stress_index.get(var_name, None) 

    +

    793 

    +

    794 return var_name, i_layer, i_stress, i_history 

    +

    795 

    +

    796 

    +

    797def filter_femzip_variables( 

    +

    798 file_metadata: FemzipFileMetadata, d3plot_array_filter: Union[Set[str], None] 

    +

    799) -> FemzipFileMetadata: 

    +

    800 """Filters variable infos regarding d3plot array types 

    +

    801 

    +

    802 Parameters 

    +

    803 ---------- 

    +

    804 file_metadata: FemzipFileMetadata 

    +

    805 metadata of femzip file including contained variables 

    +

    806 d3plot_array_filter: Union[Set[str], None] 

    +

    807 array types to filter for if wanted 

    +

    808 

    +

    809 Returns 

    +

    810 ------- 

    +

    811 file_metadata: FemzipFileMetadata 

    +

    812 filtered array according to array types 

    +

    813 """ 

    +

    814 

    +

    815 # pylint: disable = too-many-locals 

    +

    816 

    +

    817 # find out which arrays we need and 

    +

    818 vars_to_copy: List[int] = [] 

    +

    819 

    +

    820 for i_var in range(file_metadata.number_of_variables): 

    +

    821 try: 

    +

    822 var_info: VariableInfo = file_metadata.variable_infos[i_var] 

    +

    823 var_type: int = var_info.var_type 

    +

    824 var_index: int = var_info.var_index 

    +

    825 var_name: str = var_info.name.decode("utf-8") 

    +

    826 

    +

    827 logging.debug("%d, %d, %s", var_type, var_index, var_name.strip()) 

    +

    828 

    +

    829 if var_type == FemzipVariableCategory.GEOMETRY.value: 

    +

    830 continue 

    +

    831 

    +

    832 # find out which array from name 

    +

    833 try: 

    +

    834 fz_array_type = FemzipArrayType.from_string(var_name) 

    +

    835 except ValueError: 

    +

    836 warn_msg = ( 

    +

    837 "Warning: lasso-python does not support femzip result" 

    +

    838 f" field '{var_name.strip()}' category type '{var_type}'." 

    +

    839 ) 

    +

    840 logging.warning(warn_msg) 

    +

    841 continue 

    +

    842 

    +

    843 # check if we asked for the array 

    +

    844 matching_array_types = TRANSL_FEMZIP_ARRATYPE_TO_D3PLOT_ARRAYTYPE[ 

    +

    845 (fz_array_type, FemzipVariableCategory(var_type)) 

    +

    846 ] 

    +

    847 

    +

    848 if d3plot_array_filter is not None: 

    +

    849 if not matching_array_types.intersection(d3plot_array_filter): 

    +

    850 continue 

    +

    851 vars_to_copy.append(i_var) 

    +

    852 except Exception: 

    +

    853 trb_msg = traceback.format_exc() 

    +

    854 err_msg = "An error occurred while preprocessing femzip variable information: %s" 

    +

    855 logging.warning(err_msg, trb_msg) 

    +

    856 

    +

    857 # copy filtered data 

    +

    858 filtered_file_metadata = FemzipFileMetadata() 

    +

    859 FemzipAPI.copy_struct(file_metadata, filtered_file_metadata) 

    +

    860 filtered_file_metadata.number_of_variables = len(vars_to_copy) 

    +

    861 

    +

    862 # pylint: disable = invalid-name 

    +

    863 FilteredVariableInfoArrayType = len(vars_to_copy) * VariableInfo 

    +

    864 filtered_info_array_data = FilteredVariableInfoArrayType() 

    +

    865 

    +

    866 for i_var, src_i_var in enumerate(vars_to_copy): 

    +

    867 FemzipAPI.copy_struct( 

    +

    868 file_metadata.variable_infos[src_i_var], filtered_info_array_data[i_var] 

    +

    869 ) 

    +

    870 filtered_file_metadata.variable_infos = filtered_info_array_data 

    +

    871 

    +

    872 return filtered_file_metadata 

    +
    + + + diff --git a/coverage/d_233c5ceebba6ed8d_filter_type_py.html b/coverage/d_233c5ceebba6ed8d_filter_type_py.html new file mode 100644 index 0000000..fb40ca5 --- /dev/null +++ b/coverage/d_233c5ceebba6ed8d_filter_type_py.html @@ -0,0 +1,130 @@ + + + + + Coverage for lasso/dyna/filter_type.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/dyna/filter_type.py: + 100% +

    + +

    + 8 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1from enum import Enum 

    +

    2 

    +

    3 

    +

    4class FilterType(Enum): 

    +

    5 """Used for filtering d3plot arrays 

    +

    6 

    +

    7 Attributes 

    +

    8 ---------- 

    +

    9 BEAM: str 

    +

    10 Filters for beam elements 

    +

    11 SHELL: str 

    +

    12 Filters for shell elements 

    +

    13 SOLID: str 

    +

    14 Filters for solid elements 

    +

    15 TSHELL: str 

    +

    16 Filters for thick shells elements 

    +

    17 PART: str 

    +

    18 Filters for parts 

    +

    19 NODE: str 

    +

    20 Filters for nodes 

    +

    21 

    +

    22 Examples 

    +

    23 -------- 

    +

    24 >>> part_ids = [13, 14] 

    +

    25 >>> d3plot.get_part_filter(FilterType.SHELL, part_ids) 

    +

    26 """ 

    +

    27 

    +

    28 BEAM = "beam" 

    +

    29 SHELL = "shell" 

    +

    30 SOLID = "solid" 

    +

    31 TSHELL = "tshell" 

    +

    32 PART = "part" 

    +

    33 NODE = "node" 

    +
    + + + diff --git a/coverage/d_233c5ceebba6ed8d_lsda_py3_py.html b/coverage/d_233c5ceebba6ed8d_lsda_py3_py.html new file mode 100644 index 0000000..3043d53 --- /dev/null +++ b/coverage/d_233c5ceebba6ed8d_lsda_py3_py.html @@ -0,0 +1,740 @@ + + + + + Coverage for lasso/dyna/lsda_py3.py: 14% + + + + + +
    +
    +

    + Coverage for lasso/dyna/lsda_py3.py: + 14% +

    + +

    + 422 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import glob 

    +

    2import struct 

    +

    3 

    +

    4# We disable pylint here since this code is ancient code from LSTC and has the 

    +

    5# respective quality. I tried rewriting it but could not understand it at all 

    +

    6# in time. 

    +

    7# pylint: skip-file 

    +

    8 

    +

    9 

    +

    10class LsdaError(Exception): 

    +

    11 """This is only here, so I can raise an error in case the data type 

    +

    12 sizes are not what I expect""" 

    +

    13 

    +

    14 

    +

    15class _Diskfile: 

    +

    16 """ 

    +

    17 Handles all the low level file I/O. Nothing here should be 

    +

    18 called directly by a user. 

    +

    19 """ 

    +

    20 

    +

    21 packsize = [0, "b", "h", 0, "i", 0, 0, 0, "q"] 

    +

    22 packtype = [0, "b", "h", "i", "q", "B", "H", "I", "Q", "f", "d", "s"] 

    +

    23 sizeof = [0, 1, 2, 4, 8, 1, 2, 4, 8, 4, 8, 1] 

    +

    24 

    +

    25 def __init__(self, name, mode): 

    +

    26 self.mode = mode # file open mode (r,r+,w,w+) 

    +

    27 self.name = name # file name 

    +

    28 self.ateof = 0 # 1 if the file pointer is at EOF 

    +

    29 self.fp = open(name, mode + "b") 

    +

    30 if mode[0] == "r": 

    +

    31 s = self.fp.read(8) 

    +

    32 header = struct.unpack("BBBBBBBB", s) 

    +

    33 if header[0] > 8: 

    +

    34 self.fp.seek(header[0]) 

    +

    35 else: 

    +

    36 header = [8, 8, 8, 1, 1, 0, 0, 0] 

    +

    37 # Determine if my native ordering is big or little endian.... 

    +

    38 b = struct.unpack("bbbb", struct.pack("i", 1)) 

    +

    39 if b[0]: 

    +

    40 header[5] = 1 

    +

    41 else: 

    +

    42 header[5] = 0 

    +

    43 self.lengthsize = header[1] 

    +

    44 self.offsetsize = header[2] 

    +

    45 self.commandsize = header[3] 

    +

    46 self.typesize = header[4] 

    +

    47 if header[5] == 0: 

    +

    48 self.ordercode = ">" 

    +

    49 else: 

    +

    50 self.ordercode = "<" 

    +

    51 self.ounpack = self.ordercode + _Diskfile.packsize[self.offsetsize] 

    +

    52 self.lunpack = self.ordercode + _Diskfile.packsize[self.lengthsize] 

    +

    53 self.lcunpack = ( 

    +

    54 self.ordercode 

    +

    55 + _Diskfile.packsize[self.lengthsize] 

    +

    56 + _Diskfile.packsize[self.commandsize] 

    +

    57 ) 

    +

    58 self.tolunpack = ( 

    +

    59 self.ordercode 

    +

    60 + _Diskfile.packsize[self.typesize] 

    +

    61 + _Diskfile.packsize[self.offsetsize] 

    +

    62 + _Diskfile.packsize[self.lengthsize] 

    +

    63 ) 

    +

    64 self.comp1 = self.typesize + self.offsetsize + self.lengthsize 

    +

    65 self.comp2 = self.lengthsize + self.commandsize + self.typesize + 1 

    +

    66 if mode[0] != "r": 

    +

    67 # Write initial header and ST offset command. 

    +

    68 s = bytes("", "UTF-8") 

    +

    69 for h in header: 

    +

    70 s = s + struct.pack("B", h) 

    +

    71 self.fp.write(s) 

    +

    72 self.writecommand(17, Lsda.SYMBOLTABLEOFFSET) 

    +

    73 self.writeoffset(17, 0) 

    +

    74 self.lastoffset = 17 

    +

    75 

    +

    76 def readcommand(self): 

    +

    77 """Read a LENGTH,COMMAND pair from the file at the current location""" 

    +

    78 s = self.fp.read(self.lengthsize + self.commandsize) 

    +

    79 return struct.unpack(self.lcunpack, s) 

    +

    80 

    +

    81 def writecommand(self, length, cmd): 

    +

    82 """Write a LENGTH,COMMAND pair to the file at the current location""" 

    +

    83 s = struct.pack(self.lcunpack, length, cmd) 

    +

    84 self.fp.write(s) 

    +

    85 

    +

    86 def readoffset(self): 

    +

    87 """Read an OFFSET from the file at the current location""" 

    +

    88 s = self.fp.read(self.offsetsize) 

    +

    89 return struct.unpack(self.ounpack, s)[0] 

    +

    90 

    +

    91 def writeoffset(self, offset, value): 

    +

    92 """Write an OFFSET to the file at the given location""" 

    +

    93 self.fp.seek(offset, 0) 

    +

    94 s = struct.pack(self.ounpack, value) 

    +

    95 self.fp.write(s) 

    +

    96 self.ateof = 0 

    +

    97 

    +

    98 def writelength(self, length): 

    +

    99 """Write a LENGTH to the file at the current location""" 

    +

    100 s = struct.pack(self.lunpack, length) 

    +

    101 self.fp.write(s) 

    +

    102 

    +

    103 def writecd(self, dir): 

    +

    104 """Write a whole CD command to the file at the current location""" 

    +

    105 length = self.lengthsize + self.commandsize + len(dir) 

    +

    106 s = struct.pack(self.lcunpack, length, Lsda.CD) 

    +

    107 self.fp.write(s) 

    +

    108 if type(dir) is str: 

    +

    109 self.fp.write(bytes(dir, "utf-8")) 

    +

    110 else: 

    +

    111 self.fp.write(dir) 

    +

    112 

    +

    113 def writestentry(self, r): 

    +

    114 """Write a VARIABLE command (symbol table entry) to the file at 

    +

    115 the current location""" 

    +

    116 length = ( 

    +

    117 2 * self.lengthsize + self.commandsize + len(r.name) + self.typesize + self.offsetsize 

    +

    118 ) 

    +

    119 s = struct.pack(self.lcunpack, length, Lsda.VARIABLE) 

    +

    120 self.fp.write(s) 

    +

    121 if type(r.name) is str: 

    +

    122 self.fp.write(bytes(r.name, "utf-8")) 

    +

    123 else: 

    +

    124 self.fp.write(r.name) 

    +

    125 s = struct.pack(self.tolunpack, r.type, r.offset, r.length) 

    +

    126 self.fp.write(s) 

    +

    127 

    +

    128 def writedata(self, sym, data): 

    +

    129 """Write a DATA command to the file at the current location""" 

    +

    130 nlen = len(sym.name) 

    +

    131 length = ( 

    +

    132 self.lengthsize 

    +

    133 + self.commandsize 

    +

    134 + self.typesize 

    +

    135 + 1 

    +

    136 + nlen 

    +

    137 + self.sizeof[sym.type] * sym.length 

    +

    138 ) 

    +

    139 sym.offset = self.fp.tell() 

    +

    140 self.fp.write(struct.pack(self.lcunpack, length, Lsda.DATA)) 

    +

    141 self.fp.write(struct.pack("bb", sym.type, nlen) + bytes(sym.name, "utf-8")) 

    +

    142 # fmt=self.ordercode+self.packtype[sym.type]*sym.length 

    +

    143 fmt = "%c%d%c" % (self.ordercode, sym.length, self.packtype[sym.type]) 

    +

    144 self.fp.write(struct.pack(fmt, *data)) 

    +

    145 sym.file = self 

    +

    146 

    +

    147 

    +

    148class Symbol: 

    +

    149 """ 

    +

    150 A directory tree structure. A Symbol can be a directory (type==0) 

    +

    151 or data 

    +

    152 """ 

    +

    153 

    +

    154 def __init__(self, name="", parent=0): 

    +

    155 self.name = name # name of var or directory 

    +

    156 self.type = 0 # data type 

    +

    157 self.offset = 0 # offset of DATA record in file 

    +

    158 self.length = 0 # number of data entries, or # of children 

    +

    159 self.file = 0 # which file the data is in 

    +

    160 self.children = {} # directory contents 

    +

    161 self.parent = parent # directory that holds me 

    +

    162 if parent: 

    +

    163 parent.children[name] = self 

    +

    164 parent.length = len(parent.children) 

    +

    165 

    +

    166 def path(self): 

    +

    167 """Return absolute path for this Symbol""" 

    +

    168 if not self.parent: 

    +

    169 return "/" 

    +

    170 sym = self 

    +

    171 ret = "/" + sym.name 

    +

    172 while sym.parent and sym.parent.name != "/": 

    +

    173 sym = sym.parent 

    +

    174 ret = "/" + sym.name + ret 

    +

    175 return ret 

    +

    176 

    +

    177 def get(self, name): 

    +

    178 """Return the Symbol with the indicated name. The name can be 

    +

    179 prefixed with a relative or absolute path""" 

    +

    180 # If I am just a variable, let my parent handle this 

    +

    181 if self.type != 0: 

    +

    182 return self.parent.get(name) 

    +

    183 # If I have this variable, return it 

    +

    184 if name in self.children: 

    +

    185 return self.children[name] 

    +

    186 # If name has a path component, then look for it there 

    +

    187 if name[0] == "/": # absolute path 

    +

    188 parts = name.split("/")[1:] 

    +

    189 sym = self 

    +

    190 while sym.parent: 

    +

    191 sym = sym.parent 

    +

    192 for i in range(len(parts)): 

    +

    193 if parts[i] in sym.children: 

    +

    194 sym = sym.children[parts[i]] 

    +

    195 else: 

    +

    196 return None 

    +

    197 return sym 

    +

    198 if name[0] == ".": # relative path 

    +

    199 parts = name.split("/")[1:] 

    +

    200 # Throw out any "." in the path -- those are just useless.... 

    +

    201 parts = filter(lambda p: p != ".", parts) 

    +

    202 if len(parts) == 0: 

    +

    203 return self 

    +

    204 sym = self 

    +

    205 for i in range(parts): 

    +

    206 if parts[i] == "..": 

    +

    207 if sym.parent: 

    +

    208 sym = sym.parent 

    +

    209 elif parts[i] in sym: 

    +

    210 sym = sym.children[parts[i]] 

    +

    211 else: 

    +

    212 return None 

    +

    213 return sym 

    +

    214 # Not found 

    +

    215 return None 

    +

    216 

    +

    217 def lread(self, start=0, end=2000000000): 

    +

    218 """Read data from the file. 

    +

    219 If this symbol is a DIRECTORY, this returns a sorted list of the 

    +

    220 contents of the directory, and "start" and "end" are ignored. 

    +

    221 Otherwise, read and return data[start:end] (including start but 

    +

    222 not including end -- standard Python slice behavior). 

    +

    223 This routine does NOT follow links.""" 

    +

    224 if self.type == 0: # directory -- return listing 

    +

    225 return sorted(self.children.keys()) 

    +

    226 if end > self.length: 

    +

    227 end = self.length 

    +

    228 if end < 0: 

    +

    229 end = self.length + end 

    +

    230 if start > self.length: 

    +

    231 return () 

    +

    232 if start < 0: 

    +

    233 start = self.length + start 

    +

    234 if start >= end: 

    +

    235 return () 

    +

    236 size = _Diskfile.sizeof[self.type] 

    +

    237 pos = self.offset + self.file.comp2 + len(self.name) + start * size 

    +

    238 self.file.fp.seek(pos) 

    +

    239 self.file.ateof = 0 

    +

    240 # format = self.file.ordercode + _Diskfile.packtype[self.type]*(end-start) 

    +

    241 # return struct.unpack(format,self.file.fp.read(size*(end-start))) 

    +

    242 format = "%c%d%c" % (self.file.ordercode, (end - start), _Diskfile.packtype[self.type]) 

    +

    243 if self.type == Lsda.LINK: 

    +

    244 return struct.unpack(format, self.file.fp.read(size * (end - start)))[0] 

    +

    245 else: 

    +

    246 return struct.unpack(format, self.file.fp.read(size * (end - start))) 

    +

    247 

    +

    248 def read(self, start=0, end=2000000000): 

    +

    249 """Read data from the file. Same as lread, but follows links""" 

    +

    250 return _resolve_link(self).lread(start, end) 

    +

    251 

    +

    252 def read_raw(self, start=0, end=2000000000): 

    +

    253 """Read data from the file and return as bytestring""" 

    +

    254 if self.type == 0: # directory -- return listing 

    +

    255 return sorted(self.children.keys()) 

    +

    256 if end > self.length: 

    +

    257 end = self.length 

    +

    258 if end < 0: 

    +

    259 end = self.length + end 

    +

    260 if start > self.length: 

    +

    261 return () 

    +

    262 if start < 0: 

    +

    263 start = self.length + start 

    +

    264 if start >= end: 

    +

    265 return () 

    +

    266 size = _Diskfile.sizeof[self.type] 

    +

    267 pos = self.offset + self.file.comp2 + len(self.name) + start * size 

    +

    268 self.file.fp.seek(pos) 

    +

    269 self.file.ateof = 0 

    +

    270 size = size * (end - start) 

    +

    271 return self.file.fp.read(size) 

    +

    272 

    +

    273 

    +

    274def _resolve_link(var): 

    +

    275 """Follow a link to find what it finally resolves to""" 

    +

    276 ret = var 

    +

    277 while ret.type == Lsda.LINK: 

    +

    278 ret = ret.get(ret.lread()) 

    +

    279 return ret 

    +

    280 

    +

    281 

    +

    282def _readentry(f, reclen, parent): 

    +

    283 """ 

    +

    284 Read a VARIABLE record from the file, and construct the proper Symbol 

    +

    285 Users should never call this. 

    +

    286 """ 

    +

    287 s = f.fp.read(reclen) 

    +

    288 n = reclen - f.comp1 

    +

    289 name = s[:n] 

    +

    290 # If parent already has a symbol by this name, orphan it.... 

    +

    291 # if parent.children.has_key(name)): 

    +

    292 if name in parent.children: 

    +

    293 var = parent.children[name] 

    +

    294 else: 

    +

    295 var = Symbol(name, parent) 

    +

    296 (var.type, var.offset, var.length) = struct.unpack(f.tolunpack, s[n:]) 

    +

    297 var.file = f 

    +

    298 

    +

    299 

    +

    300def _readsymboltable(lsda, f): 

    +

    301 """ 

    +

    302 Read all the SYMBOLTABLEs in the current file 

    +

    303 Users should never call this. 

    +

    304 """ 

    +

    305 f.ateof = 0 

    +

    306 while 1: 

    +

    307 f.lastoffset = f.fp.tell() 

    +

    308 offset = f.readoffset() 

    +

    309 if offset == 0: 

    +

    310 return 

    +

    311 f.fp.seek(offset) 

    +

    312 (clen, cmd) = f.readcommand() 

    +

    313 if cmd != Lsda.BEGINSYMBOLTABLE: 

    +

    314 return 

    +

    315 while 1: 

    +

    316 (clen, cmd) = f.readcommand() 

    +

    317 clen = clen - f.commandsize - f.lengthsize 

    +

    318 if cmd == Lsda.CD: 

    +

    319 path = f.fp.read(clen) 

    +

    320 lsda.cd(path, 1) 

    +

    321 elif cmd == Lsda.VARIABLE: 

    +

    322 _readentry(f, clen, lsda.cwd) 

    +

    323 else: # is end of symbol table...get next part if there is one 

    +

    324 break 

    +

    325 

    +

    326 

    +

    327def _writesymboltable(lsda, f): 

    +

    328 """ 

    +

    329 Collect all the symbols we want to write out, and sort 

    +

    330 them by path. This is a bit strange: the symbols don't store 

    +

    331 the path, but build it when needed. So build it, and store 

    +

    332 (symbol,path) pairs, then sort by path. "path" returns the full 

    +

    333 path to the symbol, and we only want the directory it is in, so 

    +

    334 get the path of its parent instead. 

    +

    335 """ 

    +

    336 if len(lsda.dirty_symbols) == 0: 

    +

    337 return 

    +

    338 

    +

    339 slist = [] 

    +

    340 for s in lsda.dirty_symbols: 

    +

    341 p = s.parent.path() 

    +

    342 slist.append((s, p)) 

    +

    343 # slist.sort(key = lambda r1,r2: cmp(r1[1],r2[1])) 

    +

    344 slist.sort(key=lambda x: x[1]) 

    +

    345 lsda.dirty_symbols = set() 

    +

    346 

    +

    347 # Move to end of the file and write the symbol table 

    +

    348 if not f.ateof: 

    +

    349 f.fp.seek(0, 2) 

    +

    350 f.ateof = 1 

    +

    351 start_st_at = f.fp.tell() 

    +

    352 f.writecommand(0, Lsda.BEGINSYMBOLTABLE) 

    +

    353 cwd = None 

    +

    354 

    +

    355 # Write all records 

    +

    356 for (s, path) in slist: 

    +

    357 if path != cwd: 

    +

    358 cdcmd = _get_min_cd(cwd, path) 

    +

    359 f.writecd(cdcmd) 

    +

    360 cwd = path 

    +

    361 f.writestentry(s) 

    +

    362 

    +

    363 # Finish ST: write END record, and patch up ST length 

    +

    364 cmdlen = f.offsetsize + f.lengthsize + f.commandsize 

    +

    365 f.writecommand(cmdlen, Lsda.ENDSYMBOLTABLE) 

    +

    366 nextoffset = f.fp.tell() 

    +

    367 f.writeoffset(nextoffset, 0) 

    +

    368 cmdlen = nextoffset + f.offsetsize - start_st_at 

    +

    369 f.fp.seek(start_st_at) 

    +

    370 f.writelength(cmdlen) 

    +

    371 

    +

    372 # Purge symbol table, if we are only writing 

    +

    373 if f.mode == "w": 

    +

    374 cwd = lsda.cwd 

    +

    375 cwd.children = {} 

    +

    376 while cwd.parent: 

    +

    377 cwd.parent.children = {cwd.name: cwd} 

    +

    378 cwd = cwd.parent 

    +

    379 

    +

    380 # And add link from previous ST 

    +

    381 f.writeoffset(f.lastoffset, start_st_at) 

    +

    382 f.lastoffset = nextoffset 

    +

    383 f.ateof = 0 

    +

    384 

    +

    385 

    +

    386def _get_min_cd(cwd, cd): 

    +

    387 """ 

    +

    388 Given two absolute paths, return the shortest "cd" string that 

    +

    389 gets from the first (cwd) to the second (cd) 

    +

    390 """ 

    +

    391 if cwd is None: 

    +

    392 return cd 

    +

    393 

    +

    394 # Find common part of path 

    +

    395 have = cwd.split("/")[1:] 

    +

    396 want = cd.split("/")[1:] 

    +

    397 nhave = len(have) 

    +

    398 nwant = len(want) 

    +

    399 n = min(nhave, nwant) 

    +

    400 head = 0 

    +

    401 head_length = 0 

    +

    402 for i in range(n): 

    +

    403 if have[i] != want[i]: 

    +

    404 break 

    +

    405 head = i + 1 

    +

    406 head_length = head_length + len(have[i]) 

    +

    407 if head == 0: 

    +

    408 return cd 

    +

    409 

    +

    410 # head = # of common components. 

    +

    411 # head_length = string length of common part of path (sans "/" separators) 

    +

    412 # tail1 = Number of components we would need ".." leaders for 

    +

    413 tail1 = nhave - head 

    +

    414 

    +

    415 # Now see if "cd" is shorter than "../../tail_part" 

    +

    416 if 2 * tail1 >= head_length: 

    +

    417 return cd 

    +

    418 

    +

    419 # nope, the ".." version is shorter.... 

    +

    420 return tail1 * "../" + "/".join(want[head:]) 

    +

    421 

    +

    422 

    +

    423class Lsda: 

    +

    424 """ 

    +

    425 Main class: holds all the Symbols for an LSDA file, and has methods 

    +

    426 for reading data from and writing data to the file 

    +

    427 """ 

    +

    428 

    +

    429 CD = 2 

    +

    430 DATA = 3 

    +

    431 VARIABLE = 4 

    +

    432 BEGINSYMBOLTABLE = 5 

    +

    433 ENDSYMBOLTABLE = 6 

    +

    434 SYMBOLTABLEOFFSET = 7 

    +

    435 I1 = 1 

    +

    436 I2 = 2 

    +

    437 I4 = 3 

    +

    438 I8 = 4 

    +

    439 U1 = 5 

    +

    440 U2 = 6 

    +

    441 U4 = 7 

    +

    442 U8 = 8 

    +

    443 R4 = 9 

    +

    444 R8 = 10 

    +

    445 LINK = 11 

    +

    446 

    +

    447 def __init__(self, files, mode="r"): 

    +

    448 """Creates the LSDA structure, opens the file and reads the 

    +

    449 SYMBOLTABLE (if reading), or creates the initial file contents 

    +

    450 (if writing). "files" is a tuple of file names to be opened 

    +

    451 and treated as a single file. All the %XXX continuation files 

    +

    452 will be automatically included. "mode" is the file open mode: 

    +

    453 "r", "r+", "w", or "w+". If a "w" mode is selected, "files" 

    +

    454 must contain only a single file name""" 

    +

    455 

    +

    456 # If they only input a single name, put it in a tuple, so I can 

    +

    457 # accept input of either kind 

    +

    458 if not types_ok: 

    +

    459 raise LsdaError 

    +

    460 if not isinstance(files, (tuple, list)): 

    +

    461 files = (files,) 

    +

    462 self.files = [] 

    +

    463 

    +

    464 if mode[0] == "r": 

    +

    465 # Open all the files in the list that is input, and anything 

    +

    466 # that looks like a continuation of one of them. 

    +

    467 nameset = set() 

    +

    468 for name in files: 

    +

    469 nameset.add(name) 

    +

    470 nameset = nameset.union(set(glob.glob(name + "%[0-9][0-9]*"))) 

    +

    471 

    +

    472 # Convert to a list and sort, because if I'm going to be writing, 

    +

    473 # I want the last one in the list to be the last one of its family 

    +

    474 namelist = list(nameset) 

    +

    475 namelist.sort() 

    +

    476 for file in namelist: 

    +

    477 self.files.append(_Diskfile(file, mode)) 

    +

    478 self.root = Symbol("/") 

    +

    479 for f in self.files: 

    +

    480 # We are already positioned to read the SYMBOLTABLEOFFSET record 

    +

    481 _, cmd = f.readcommand() 

    +

    482 self.cwd = self.root 

    +

    483 if cmd == Lsda.SYMBOLTABLEOFFSET: 

    +

    484 _readsymboltable(self, f) 

    +

    485 else: 

    +

    486 if len(files) > 1: 

    +

    487 return None # can't open multiple files for WRITING 

    +

    488 self.files.append(_Diskfile(files[0], mode)) 

    +

    489 self.root = Symbol("/") 

    +

    490 self.cwd = self.root 

    +

    491 self.dirty_symbols = set() 

    +

    492 self.lastpath = None 

    +

    493 self.mode = mode 

    +

    494 

    +

    495 # writing will always be to the last one of the files 

    +

    496 if mode == "r": 

    +

    497 self.fw = None 

    +

    498 self.make_dirs = 0 

    +

    499 else: 

    +

    500 self.fw = self.files[-1] 

    +

    501 self.make_dirs = 1 

    +

    502 

    +

    503 def __del__(self): # close files 

    +

    504 self.flush() 

    +

    505 for f in self.files: 

    +

    506 if not f.fp.closed: 

    +

    507 f.fp.close() 

    +

    508 

    +

    509 def cd(self, path, create=2): # change CWD 

    +

    510 """Change the current working directory in the file. The optional 

    +

    511 argument "create" is for internal use only""" 

    +

    512 # DEBUG FIX qd-codie: 

    +

    513 # Someone forgot to decode bytes into str here. Due to this the 

    +

    514 # following comparisons always went wrong (of course they were) 

    +

    515 # not similar ... 

    +

    516 if isinstance(path, bytes): 

    +

    517 path = path.decode("utf-8") 

    +

    518 if path == "/": 

    +

    519 self.cwd = self.root 

    +

    520 return self.root 

    +

    521 if path[-1] == "/": # remove trailing / 

    +

    522 path = path[:-1] 

    +

    523 if path[0] == "/": # absolute path 

    +

    524 path = path[1:] 

    +

    525 self.cwd = self.root 

    +

    526 # path = string.split(path,"/") 

    +

    527 # print(type(path)) 

    +

    528 if type(path) is bytes: 

    +

    529 path = str(path, "utf-8").split("/") 

    +

    530 else: 

    +

    531 path = path.split("/") 

    +

    532 

    +

    533 for part in path: 

    +

    534 if part == "..": 

    +

    535 if self.cwd.parent: 

    +

    536 self.cwd = self.cwd.parent 

    +

    537 else: 

    +

    538 # if self.cwd.children.has_key(part)): 

    +

    539 if part in self.cwd.children: 

    +

    540 self.cwd = self.cwd.children[part] 

    +

    541 if self.cwd.type != 0: # component is a variable, not a directory! 

    +

    542 self.cwd = self.cwd.parent 

    +

    543 break 

    +

    544 elif create == 1 or (create == 2 and self.make_dirs == 1): 

    +

    545 self.cwd = Symbol(part, self.cwd) # Create directory on the fly 

    +

    546 else: # component in path is missing 

    +

    547 break 

    +

    548 return self.cwd 

    +

    549 

    +

    550 def write(self, name, type, data): 

    +

    551 """Write a new DATA record to the file. Creates and returns 

    +

    552 the Symbol for the data written""" 

    +

    553 if self.fw is None: 

    +

    554 return None 

    +

    555 

    +

    556 # want a tuple, but if they hand us a single value that should work too... 

    +

    557 try: 

    +

    558 _ = data[0] 

    +

    559 except TypeError: 

    +

    560 data = (data,) 

    +

    561 pwd = self.cwd.path() 

    +

    562 if not self.fw.ateof: 

    +

    563 self.fw.fp.seek(0, 2) 

    +

    564 self.fw.ateof = 1 

    +

    565 if pwd != self.lastpath: 

    +

    566 cdcmd = _get_min_cd(self.lastpath, pwd) 

    +

    567 self.fw.writecd(cdcmd) 

    +

    568 self.lastpath = pwd 

    +

    569 

    +

    570 # Overwrite existing symbol if there is one 

    +

    571 if name in self.cwd.children: 

    +

    572 sym = self.cwd.children[name] 

    +

    573 else: 

    +

    574 sym = Symbol(name, self.cwd) 

    +

    575 sym.type = type 

    +

    576 sym.length = len(data) 

    +

    577 self.fw.writedata(sym, data) 

    +

    578 self.dirty_symbols.add(sym) 

    +

    579 return sym 

    +

    580 

    +

    581 def close(self): 

    +

    582 """Close the file""" 

    +

    583 self.flush() 

    +

    584 for f in self.files: 

    +

    585 if not f.fp.closed: 

    +

    586 f.fp.close() 

    +

    587 self.files = [] 

    +

    588 

    +

    589 def get(self, path): 

    +

    590 """Return the Symbol with the indicated name. The name can be 

    +

    591 prefixed with a relative or absolute path""" 

    +

    592 return self.cwd.get(path) 

    +

    593 

    +

    594 def flush(self): # write ST and flush file 

    +

    595 """Write a SYMBOLTABLE as needed for any new DATA, and flush the file""" 

    +

    596 if self.fw is None or self.fw.fp.closed: 

    +

    597 return 

    +

    598 _writesymboltable(self, self.fw) 

    +

    599 self.fw.fp.flush() 

    +

    600 

    +

    601 def filesize(self): 

    +

    602 """Returns the current size, on disk, of the file we are currently 

    +

    603 writing to. Returns 0 for files that are opened readonly""" 

    +

    604 if self.fw is None: 

    +

    605 return 0 

    +

    606 if not self.fw.ateof: 

    +

    607 self.fw.fp.seek(0, 2) 

    +

    608 self.fw.ateof = 1 

    +

    609 return self.fw.fp.tell() 

    +

    610 

    +

    611 def nextfile(self): # Open next file in sequence 

    +

    612 """Flush the current output file and open the next file in the 

    +

    613 sequence""" 

    +

    614 if self.fw is None: 

    +

    615 return None 

    +

    616 if not self.fw.fp.closed: 

    +

    617 _writesymboltable(self, self.fw) 

    +

    618 self.fw.fp.flush() 

    +

    619 parts = self.fw.name.split("%") 

    +

    620 if len(parts) == 1: 

    +

    621 ret = 1 

    +

    622 newname = parts[0] + "%001" 

    +

    623 else: 

    +

    624 ret = int(parts[1]) + 1 

    +

    625 newname = "%s%%%3.3d" % (parts[0], ret) 

    +

    626 if self.mode == "w": 

    +

    627 self.fw = _Diskfile(newname, "w") 

    +

    628 else: 

    +

    629 self.fw = _Diskfile(newname, "w+") 

    +

    630 self.files.append(self.fw) 

    +

    631 self.lastpath = None 

    +

    632 return ret 

    +

    633 

    +

    634 

    +

    635types = [("b", 1), ("h", 2), ("i", 4), ("q", 8), ("f", 4), ("d", 8)] 

    +

    636x = 17 

    +

    637types_ok = 1 

    +

    638for (a, b) in types: 

    +

    639 s = struct.pack(a, x) 

    +

    640 if len(s) != b: 

    +

    641 print("LSDA: initialization error") 

    +

    642 print("Data type %s has length %d instead of %d" % (a, len(s), b)) 

    +

    643 types_ok = 0 

    +
    + + + diff --git a/coverage/d_233c5ceebba6ed8d_test_d3plot_header_py.html b/coverage/d_233c5ceebba6ed8d_test_d3plot_header_py.html new file mode 100644 index 0000000..5d9e177 --- /dev/null +++ b/coverage/d_233c5ceebba6ed8d_test_d3plot_header_py.html @@ -0,0 +1,199 @@ + + + + + Coverage for lasso/dyna/test_d3plot_header.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/dyna/test_d3plot_header.py: + 100% +

    + +

    + 42 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1from unittest import TestCase 

    +

    2 

    +

    3import numpy as np 

    +

    4from lasso.dyna.d3plot_header import ( 

    +

    5 D3plotFiletype, 

    +

    6 D3plotHeader, 

    +

    7 d3plot_filetype_from_integer, 

    +

    8 get_digit, 

    +

    9) 

    +

    10from lasso.io.binary_buffer import BinaryBuffer 

    +

    11 

    +

    12 

    +

    13class D3plotHeaderTest(TestCase): 

    +

    14 def test_loading(self): 

    +

    15 

    +

    16 filepaths = [ 

    +

    17 "test/simple_d3plot/d3plot", 

    +

    18 "test/d3plot_node_temperature/d3plot", 

    +

    19 "test/d3plot_beamip/d3plot", 

    +

    20 "test/d3plot_solid_int/d3plot", 

    +

    21 ] 

    +

    22 

    +

    23 for filepath in filepaths: 

    +

    24 D3plotHeader().load_file(filepath) 

    +

    25 

    +

    26 # TODO more 

    +

    27 

    +

    28 def test_get_digit(self) -> None: 

    +

    29 

    +

    30 number = 1234567890 

    +

    31 

    +

    32 # the numbers are sorted from the lowest importance 

    +

    33 # upwards 

    +

    34 # 0 -> 0 

    +

    35 # 1 -> 9 

    +

    36 # ... 

    +

    37 number_str = str(number)[::-1] 

    +

    38 

    +

    39 for index in range(len(number_str)): 

    +

    40 digit = get_digit(number, index) 

    +

    41 self.assertEqual( 

    +

    42 digit, 

    +

    43 int(number_str[index]), 

    +

    44 f"index {index} digit {digit} digit_str {number_str[index]}", 

    +

    45 ) 

    +

    46 

    +

    47 self.assertEqual(get_digit(number, 10), 0) 

    +

    48 

    +

    49 def test_d3plot_filetype_from_integer(self) -> None: 

    +

    50 

    +

    51 self.assertEqual( 

    +

    52 d3plot_filetype_from_integer(1), 

    +

    53 D3plotFiletype.D3PLOT, 

    +

    54 ) 

    +

    55 self.assertEqual( 

    +

    56 d3plot_filetype_from_integer(5), 

    +

    57 D3plotFiletype.D3PART, 

    +

    58 ) 

    +

    59 self.assertEqual( 

    +

    60 d3plot_filetype_from_integer(11), 

    +

    61 D3plotFiletype.D3EIGV, 

    +

    62 ) 

    +

    63 

    +

    64 # INFOR is forbidden 

    +

    65 with self.assertRaises(ValueError): 

    +

    66 d3plot_filetype_from_integer(4) 

    +

    67 

    +

    68 with self.assertRaises(ValueError): 

    +

    69 d3plot_filetype_from_integer(0) 

    +

    70 

    +

    71 def test_determine_file_settings(self) -> None: 

    +

    72 

    +

    73 # the routine checks the "filetype" flag 

    +

    74 # if it makes any sense under any circumstances 

    +

    75 # we assume the corresponding file settings 

    +

    76 

    +

    77 # 44 -> int32 

    +

    78 # 88 -> int64 

    +

    79 for position in (44, 88): 

    +

    80 for filetype in (D3plotFiletype.D3PLOT, D3plotFiletype.D3PART, D3plotFiletype.D3EIGV): 

    +

    81 

    +

    82 bb = BinaryBuffer() 

    +

    83 bb.memoryview = memoryview(bytearray(256)) 

    +

    84 bb.write_number(position, filetype.value, np.int32) 

    +

    85 

    +

    86 word_size, itype, ftype = D3plotHeader._determine_file_settings(bb) 

    +

    87 

    +

    88 if position == 44: 

    +

    89 self.assertEqual(word_size, 4) 

    +

    90 self.assertEqual(itype, np.int32) 

    +

    91 self.assertEqual(ftype, np.float32) 

    +

    92 else: 

    +

    93 self.assertEqual(word_size, 8) 

    +

    94 self.assertEqual(itype, np.int64) 

    +

    95 self.assertEqual(ftype, np.float64) 

    +

    96 

    +

    97 # error 

    +

    98 bb = BinaryBuffer() 

    +

    99 bb.memoryview = memoryview(bytearray(256)) 

    +

    100 

    +

    101 with self.assertRaises(RuntimeError): 

    +

    102 D3plotHeader._determine_file_settings(bb) 

    +
    + + + diff --git a/coverage/d_233c5ceebba6ed8d_test_d3plot_py.html b/coverage/d_233c5ceebba6ed8d_test_d3plot_py.html new file mode 100644 index 0000000..1cc2363 --- /dev/null +++ b/coverage/d_233c5ceebba6ed8d_test_d3plot_py.html @@ -0,0 +1,578 @@ + + + + + Coverage for lasso/dyna/test_d3plot.py: 96% + + + + + +
    +
    +

    + Coverage for lasso/dyna/test_d3plot.py: + 96% +

    + +

    + 198 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import os 

    +

    2import tempfile 

    +

    3from lasso.io.binary_buffer import BinaryBuffer 

    +

    4from lasso.femzip.femzip_api import FemzipAPI 

    +

    5from unittest import TestCase 

    +

    6 

    +

    7import struct 

    +

    8import numpy as np 

    +

    9 

    +

    10from lasso.dyna.d3plot import D3plot, FilterType, _negative_to_positive_state_indexes 

    +

    11from lasso.dyna.array_type import ArrayType 

    +

    12 

    +

    13 

    +

    14class D3plotTest(TestCase): 

    +

    15 def test_init(self): 

    +

    16 

    +

    17 # settings 

    +

    18 self.maxDiff = None 

    +

    19 

    +

    20 filepath = "test/simple_d3plot/d3plot" 

    +

    21 

    +

    22 geometry_array_shapes = { 

    +

    23 "node_coordinates": (4915, 3), 

    +

    24 "element_solid_part_indexes": (0,), 

    +

    25 "element_solid_node_indexes": (0, 8), 

    +

    26 "element_tshell_node_indexes": (0, 8), 

    +

    27 "element_tshell_part_indexes": (0,), 

    +

    28 "element_beam_part_indexes": (0,), 

    +

    29 "element_beam_node_indexes": (0, 5), 

    +

    30 "element_shell_node_indexes": (4696, 4), 

    +

    31 "element_shell_part_indexes": (4696,), 

    +

    32 "node_ids": (4915,), 

    +

    33 "element_solid_ids": (0,), 

    +

    34 "element_beam_ids": (0,), 

    +

    35 "element_shell_ids": (4696,), 

    +

    36 "element_tshell_ids": (0,), 

    +

    37 "part_titles_ids": (1,), 

    +

    38 "part_titles": (1,), 

    +

    39 } 

    +

    40 

    +

    41 state_array_shapes = { 

    +

    42 "timesteps": (1,), 

    +

    43 "global_kinetic_energy": (1,), 

    +

    44 "global_internal_energy": (1,), 

    +

    45 "global_total_energy": (1,), 

    +

    46 "global_velocity": (1, 3), 

    +

    47 "part_internal_energy": (1, 1), 

    +

    48 "part_kinetic_energy": (1, 1), 

    +

    49 "part_velocity": (1, 1, 3), 

    +

    50 "part_mass": (1, 1), 

    +

    51 "part_hourglass_energy": (1, 1), 

    +

    52 "node_displacement": (1, 4915, 3), 

    +

    53 "node_velocity": (1, 4915, 3), 

    +

    54 "node_acceleration": (1, 4915, 3), 

    +

    55 "element_shell_stress": (1, 4696, 3, 6), 

    +

    56 "element_shell_effective_plastic_strain": (1, 4696, 3), 

    +

    57 "element_shell_history_vars": (1, 4696, 3, 19), 

    +

    58 "element_shell_bending_moment": (1, 4696, 3), 

    +

    59 "element_shell_shear_force": (1, 4696, 2), 

    +

    60 "element_shell_normal_force": (1, 4696, 3), 

    +

    61 "element_shell_thickness": (1, 4696), 

    +

    62 "element_shell_unknown_variables": (1, 4696, 2), 

    +

    63 "element_shell_strain": (1, 4696, 2, 6), 

    +

    64 "element_shell_internal_energy": (1, 4696), 

    +

    65 "element_shell_is_alive": (1, 4696), 

    +

    66 } 

    +

    67 

    +

    68 all_array_shapes = {**geometry_array_shapes, **state_array_shapes} 

    +

    69 

    +

    70 # empty constructor 

    +

    71 D3plot() 

    +

    72 

    +

    73 # file thing 

    +

    74 d3plot = D3plot(filepath) 

    +

    75 d3plot_shapes = {array_name: array.shape for array_name, array in d3plot.arrays.items()} 

    +

    76 self.assertDictEqual(d3plot_shapes, all_array_shapes) 

    +

    77 

    +

    78 # limited buffer files 

    +

    79 d3plot = D3plot(filepath, buffered_reading=True) 

    +

    80 d3plot_shapes = {array_name: array.shape for array_name, array in d3plot.arrays.items()} 

    +

    81 self.assertDictEqual(d3plot_shapes, all_array_shapes) 

    +

    82 

    +

    83 # test loading single state arrays 

    +

    84 for array_name, array_shape in state_array_shapes.items(): 

    +

    85 d3plot = D3plot(filepath, state_array_filter=[array_name]) 

    +

    86 d3plot_shapes = {array_name: array.shape for array_name, array in d3plot.arrays.items()} 

    +

    87 self.assertDictEqual(d3plot_shapes, {**geometry_array_shapes, array_name: array_shape}) 

    +

    88 

    +

    89 # test loading individual states 

    +

    90 d3plot = D3plot(filepath, state_filter={0}) 

    +

    91 d3plot2 = D3plot(filepath) 

    +

    92 hdr_diff, array_diff = d3plot.compare(d3plot2) 

    +

    93 self.assertEqual(d3plot.n_timesteps, 1) 

    +

    94 self.assertDictEqual(hdr_diff, {}) 

    +

    95 self.assertDictEqual(array_diff, {}) 

    +

    96 

    +

    97 def test_header(self): 

    +

    98 

    +

    99 test_header_data = { 

    +

    100 "title": " ", 

    +

    101 "runtime": 1472027823, 

    +

    102 "filetype": 1, 

    +

    103 "source_version": -971095103, 

    +

    104 "release_version": "R712", 

    +

    105 "version": 960.0, 

    +

    106 "ndim": 4, 

    +

    107 "numnp": 4915, 

    +

    108 "it": 0, 

    +

    109 "iu": 1, 

    +

    110 "iv": 1, 

    +

    111 "ia": 1, 

    +

    112 "nel2": 0, 

    +

    113 "nel4": 4696, 

    +

    114 "nel8": 0, 

    +

    115 "nelt": 0, 

    +

    116 "nel20": 0, 

    +

    117 "nel27": 0, 

    +

    118 "nel48": 0, 

    +

    119 "nv1d": 6, 

    +

    120 "nv2d": 102, 

    +

    121 "nv3d": 32, 

    +

    122 "nv3dt": 90, 

    +

    123 "nummat4": 1, 

    +

    124 "nummat8": 0, 

    +

    125 "nummat2": 0, 

    +

    126 "nummatt": 0, 

    +

    127 "icode": 6, 

    +

    128 "nglbv": 13, 

    +

    129 "numst": 0, 

    +

    130 "numds": 0, 

    +

    131 "neiph": 25, 

    +

    132 "neips": 19, 

    +

    133 "maxint": -10003, 

    +

    134 "nmsph": 0, 

    +

    135 "ngpsph": 0, 

    +

    136 "narbs": 9624, 

    +

    137 "ioshl1": 1000, 

    +

    138 "ioshl2": 1000, 

    +

    139 "ioshl3": 1000, 

    +

    140 "ioshl4": 1000, 

    +

    141 "ialemat": 0, 

    +

    142 "ncfdv1": 0, 

    +

    143 "ncfdv2": 0, 

    +

    144 "nadapt": 0, 

    +

    145 "nmmat": 1, 

    +

    146 "numfluid": 0, 

    +

    147 "inn": 1, 

    +

    148 "npefg": 0, 

    +

    149 "idtdt": 0, 

    +

    150 "extra": 0, 

    +

    151 "nt3d": 0, 

    +

    152 "neipb": 0, 

    +

    153 } 

    +

    154 

    +

    155 d3plot = D3plot("test/simple_d3plot/d3plot") 

    +

    156 header = d3plot.header 

    +

    157 

    +

    158 for name, value in test_header_data.items(): 

    +

    159 self.assertEqual(header.raw_header[name], value, "Invalid var %s" % name) 

    +

    160 

    +

    161 def test_beam_integration_points(self): 

    +

    162 

    +

    163 self.maxDiff = None 

    +

    164 

    +

    165 filepath = "test/d3plot_beamip/d3plot" 

    +

    166 maxmin_test_values = { 

    +

    167 # "element_beam_shear_stress": (-0.007316963, 0.), 

    +

    168 "element_beam_shear_stress": (0.0, 0.0056635854), 

    +

    169 "element_beam_axial_stress": (-0.007316963, 0.0), 

    +

    170 "element_beam_plastic_strain": (0.0, 0.0056297667), 

    +

    171 "element_beam_axial_strain": (-0.0073745, 0.0), 

    +

    172 } 

    +

    173 

    +

    174 d3plot = D3plot(filepath) 

    +

    175 

    +

    176 for array_name, minmax in maxmin_test_values.items(): 

    +

    177 array = d3plot.arrays[array_name] 

    +

    178 self.assertAlmostEqual( 

    +

    179 array.min(), 

    +

    180 minmax[0], 

    +

    181 msg="{0}: {1} != {2}".format(array_name, array.min(), minmax[0]), 

    +

    182 ) 

    +

    183 self.assertAlmostEqual( 

    +

    184 array.max(), 

    +

    185 minmax[1], 

    +

    186 msg="{0}: {1} != {2}".format(array_name, array.max(), minmax[1]), 

    +

    187 ) 

    +

    188 

    +

    189 def test_correct_sort_of_more_than_100_state_files(self): 

    +

    190 

    +

    191 filepath = "test/order_d3plot/d3plot" 

    +

    192 

    +

    193 d3plot = D3plot(filepath) 

    +

    194 

    +

    195 timesteps = d3plot.arrays[ArrayType.global_timesteps] 

    +

    196 self.assertListEqual(timesteps.astype(int).tolist(), [1, 2, 10, 11, 12, 22, 100]) 

    +

    197 

    +

    198 def test_femzip_basic(self): 

    +

    199 

    +

    200 self.maxDiff = None 

    +

    201 

    +

    202 filepath1 = "test/femzip/d3plot.fz" 

    +

    203 filepath2 = "test/femzip/d3plot" 

    +

    204 

    +

    205 d3plot_kwargs_list = [{}, {"buffered_reading": True}, {"state_filter": [0]}] 

    +

    206 

    +

    207 D3plot.use_advanced_femzip_api = False 

    +

    208 

    +

    209 for d3plot_kwargs in d3plot_kwargs_list: 

    +

    210 

    +

    211 d3plot1 = D3plot(filepath1, **d3plot_kwargs) 

    +

    212 d3plot2 = D3plot(filepath2, **d3plot_kwargs) 

    +

    213 

    +

    214 hdr_diff, array_diff = d3plot1.compare(d3plot2, array_eps=1e-2) 

    +

    215 

    +

    216 self.assertDictEqual(hdr_diff, {}) 

    +

    217 self.assertDictEqual(array_diff, {}) 

    +

    218 

    +

    219 def test_femzip_extended(self): 

    +

    220 

    +

    221 self.maxDiff = None 

    +

    222 

    +

    223 filepath1 = "test/femzip/d3plot.fz" 

    +

    224 filepath2 = "test/femzip/d3plot" 

    +

    225 

    +

    226 d3plot_kwargs_list = [{}, {"buffered_reading": True}, {"state_filter": [0]}] 

    +

    227 

    +

    228 api = FemzipAPI() 

    +

    229 if not api.has_femunziplib_license(): 

    +

    230 return 

    +

    231 

    +

    232 D3plot.use_advanced_femzip_api = True 

    +

    233 

    +

    234 for d3plot_kwargs in d3plot_kwargs_list: 

    +

    235 

    +

    236 d3plot1 = D3plot(filepath1, **d3plot_kwargs) 

    +

    237 d3plot2 = D3plot(filepath2, **d3plot_kwargs) 

    +

    238 

    +

    239 hdr_diff, array_diff = d3plot1.compare(d3plot2, array_eps=1e-2) 

    +

    240 

    +

    241 self.assertDictEqual(hdr_diff, {}) 

    +

    242 self.assertDictEqual(array_diff, {}) 

    +

    243 

    +

    244 def test_part_filter(self): 

    +

    245 

    +

    246 self.maxDiff = None 

    +

    247 

    +

    248 filepath = "test/simple_d3plot/d3plot" 

    +

    249 part_ids = [1] 

    +

    250 

    +

    251 d3plot = D3plot(filepath) 

    +

    252 shell_filter = d3plot.get_part_filter(FilterType.SHELL, part_ids) 

    +

    253 self.assertEqual(shell_filter.sum(), 4696) 

    +

    254 

    +

    255 part_filter = d3plot.get_part_filter(FilterType.PART, part_ids) 

    +

    256 self.assertEqual(part_filter.sum(), 1) 

    +

    257 

    +

    258 node_filter = d3plot.get_part_filter(FilterType.NODE, part_ids) 

    +

    259 self.assertEqual(len(node_filter), 4915) 

    +

    260 

    +

    261 def test_read_solid_integration_points(self): 

    +

    262 

    +

    263 filepath = "test/d3plot_solid_int/d3plot" 

    +

    264 

    +

    265 # data from META 

    +

    266 stress_valid = np.array( 

    +

    267 [ 

    +

    268 2.132084e02, 

    +

    269 1.792203e02, 

    +

    270 1.397527e02, 

    +

    271 2.307352e02, 

    +

    272 2.132105e02, 

    +

    273 1.792210e02, 

    +

    274 1.397558e02, 

    +

    275 2.307304e02, 

    +

    276 ] 

    +

    277 ) 

    +

    278 pstrain_valid = np.array( 

    +

    279 [ 

    +

    280 2.227418e-02, 

    +

    281 2.576126e-03, 

    +

    282 1.909884e-02, 

    +

    283 3.695280e-02, 

    +

    284 2.227416e-02, 

    +

    285 2.576110e-03, 

    +

    286 1.909888e-02, 

    +

    287 3.695256e-02, 

    +

    288 ] 

    +

    289 ) 

    +

    290 last_timestep = -1 

    +

    291 first_element = 0 

    +

    292 stress_xx = 0 

    +

    293 

    +

    294 d3plot = D3plot(filepath) 

    +

    295 

    +

    296 stress = d3plot.arrays[ArrayType.element_solid_stress] 

    +

    297 np.array_equal(stress[last_timestep, first_element, :, stress_xx], stress_valid) 

    +

    298 

    +

    299 pstrain = d3plot.arrays[ArrayType.element_solid_effective_plastic_strain] 

    +

    300 np.array_equal(pstrain[last_timestep, first_element, :], pstrain_valid) 

    +

    301 

    +

    302 def test_negative_to_positive_state_indexes(self) -> None: 

    +

    303 

    +

    304 indexes = set() 

    +

    305 new_indexes = _negative_to_positive_state_indexes(indexes, len(indexes)) 

    +

    306 self.assertSetEqual(indexes, new_indexes) 

    +

    307 

    +

    308 indexes = {0, 1, 2} 

    +

    309 with self.assertRaises(ValueError): 

    +

    310 new_indexes = _negative_to_positive_state_indexes(indexes, 2) 

    +

    311 

    +

    312 indexes = {0, -1} 

    +

    313 new_indexes = _negative_to_positive_state_indexes(indexes, 8) 

    +

    314 self.assertSetEqual(new_indexes, {0, 7}) 

    +

    315 

    +

    316 def test_is_end_of_file_marker(self) -> None: 

    +

    317 

    +

    318 # -999999. in float32 

    +

    319 bb = BinaryBuffer() 

    +

    320 bb.memoryview = memoryview(struct.pack("<f", -999999.0)) 

    +

    321 

    +

    322 result = D3plot._is_end_of_file_marker(bb, 0, np.float32) 

    +

    323 self.assertEqual(result, True) 

    +

    324 

    +

    325 # -999999. in float64 

    +

    326 bb = BinaryBuffer() 

    +

    327 bb.memoryview = memoryview(struct.pack("<d", -999999.0)) 

    +

    328 

    +

    329 result = D3plot._is_end_of_file_marker(bb, 0, np.float64) 

    +

    330 self.assertEqual(result, True) 

    +

    331 

    +

    332 # some other number 

    +

    333 bb = BinaryBuffer() 

    +

    334 bb.memoryview = memoryview(struct.pack("<d", -41.0)) 

    +

    335 

    +

    336 result = D3plot._is_end_of_file_marker(bb, 0, np.float64) 

    +

    337 self.assertEqual(result, False) 

    +

    338 

    +

    339 # invalid dtype 

    +

    340 with self.assertRaises(ValueError): 

    +

    341 result = D3plot._is_end_of_file_marker(bb, 0, np.int32) 

    +

    342 

    +

    343 def test_write(self): 

    +

    344 

    +

    345 self.maxDiff = None 

    +

    346 

    +

    347 filepaths = [ 

    +

    348 "test/simple_d3plot/d3plot", 

    +

    349 "test/d3plot_beamip/d3plot", 

    +

    350 "test/d3plot_node_temperature/d3plot", 

    +

    351 "test/d3plot_solid_int/d3plot", 

    +

    352 ] 

    +

    353 

    +

    354 d3plot_kwargs_list = [ 

    +

    355 {}, 

    +

    356 {"buffered_reading": True}, 

    +

    357 ] 

    +

    358 

    +

    359 with tempfile.TemporaryDirectory() as dirpath: 

    +

    360 

    +

    361 for d3plot_kwargs in d3plot_kwargs_list: 

    +

    362 for d3plot_filepath, _ in zip(filepaths, d3plot_kwargs_list): 

    +

    363 

    +

    364 print(d3plot_filepath) 

    +

    365 

    +

    366 # read d3plot 

    +

    367 d3plot1 = D3plot(d3plot_filepath, **d3plot_kwargs) 

    +

    368 

    +

    369 # rewrite d3plot 

    +

    370 out_filepath = os.path.join(dirpath, "yay.d3plot") 

    +

    371 d3plot1.write_d3plot(out_filepath) 

    +

    372 

    +

    373 # read it in again and compare 

    +

    374 d3plot2 = D3plot(out_filepath, **d3plot_kwargs) 

    +

    375 hdr_diff, array_diff = d3plot1.compare(d3plot2) 

    +

    376 

    +

    377 err_msg = f"{d3plot_filepath}: {d3plot_kwargs}" 

    +

    378 self.assertDictEqual(hdr_diff, {}, err_msg) 

    +

    379 self.assertDictEqual(array_diff, {}, err_msg) 

    +

    380 

    +

    381 def test_write_new(self): 

    +

    382 

    +

    383 self.maxDiff = None 

    +

    384 

    +

    385 d3plot1 = D3plot() 

    +

    386 d3plot1.arrays[ArrayType.node_coordinates] = np.array([[0, 0, 0], [1, 0, 0], [0, 1, 0]]) 

    +

    387 d3plot1.arrays[ArrayType.element_shell_node_indexes] = np.array([[0, 2, 1, 1]]) 

    +

    388 d3plot1.arrays[ArrayType.element_shell_part_indexes] = np.array([0]) 

    +

    389 d3plot1.arrays[ArrayType.node_displacement] = np.array([[[0, 0, 0], [1, 0, 0], [0, 1, 0]]]) 

    +

    390 

    +

    391 with tempfile.TemporaryDirectory() as dirpath: 

    +

    392 filepath = os.path.join(dirpath, "yay.d3plot") 

    +

    393 

    +

    394 # single file 

    +

    395 d3plot1.write_d3plot(filepath) 

    +

    396 d3plot2 = D3plot(filepath) 

    +

    397 hdr_diff, array_diff = d3plot1.compare(d3plot2) 

    +

    398 array_diff = { 

    +

    399 name: reason 

    +

    400 for name, reason in array_diff.items() 

    +

    401 if "missing in original" not in reason 

    +

    402 } 

    +

    403 self.assertDictEqual(hdr_diff, {}) 

    +

    404 self.assertDictEqual(array_diff, {}) 

    +

    405 

    +

    406 # multiple files 

    +

    407 d3plot1.write_d3plot(filepath, single_file=False) 

    +

    408 d3plot2 = D3plot(filepath) 

    +

    409 hdr_diff, array_diff = d3plot1.compare(d3plot2) 

    +

    410 array_diff = { 

    +

    411 name: reason 

    +

    412 for name, reason in array_diff.items() 

    +

    413 if "missing in original" not in reason 

    +

    414 } 

    +

    415 self.assertDictEqual(hdr_diff, {}) 

    +

    416 self.assertDictEqual(array_diff, {}) 

    +

    417 self.assertTrue(os.path.isfile(filepath)) 

    +

    418 self.assertTrue(os.path.isfile(filepath + "01")) 

    +

    419 

    +

    420 def test_append_4_shell_hists_then_read_bug(self): 

    +

    421 

    +

    422 self.maxDiff = None 

    +

    423 

    +

    424 # we need some d3plot 

    +

    425 d3plot = D3plot() 

    +

    426 d3plot.arrays[ArrayType.node_coordinates] = np.array( 

    +

    427 [[0, 0, 0], [1, 0, 0], [0, 1, 0]], dtype=np.float32 

    +

    428 ) 

    +

    429 d3plot.arrays[ArrayType.element_shell_node_indexes] = np.array([[0, 2, 1, 1]]) 

    +

    430 d3plot.arrays[ArrayType.element_shell_part_indexes] = np.array([0]) 

    +

    431 d3plot.arrays[ArrayType.node_displacement] = np.array( 

    +

    432 [[[0, 0, 0], [1, 0, 0], [0, 1, 0]]], dtype=np.float32 

    +

    433 ) 

    +

    434 

    +

    435 # there was a bug occurring if more than 3 history vars 

    +

    436 # were added, these were written and read back in again 

    +

    437 n_history_vars = 4 

    +

    438 

    +

    439 with tempfile.TemporaryDirectory() as dirpath: 

    +

    440 filepath1 = os.path.join(dirpath, "original") 

    +

    441 d3plot.write_d3plot(filepath1) 

    +

    442 

    +

    443 # open it again to have a safe copy 

    +

    444 d3plot1 = D3plot(filepath1) 

    +

    445 n_timesteps, n_shells, n_layers = 1, d3plot1.header.n_shells, 3 

    +

    446 

    +

    447 d3plot1.arrays[ArrayType.element_shell_history_vars] = np.random.random( 

    +

    448 (n_timesteps, n_shells, n_layers, n_history_vars) 

    +

    449 ) 

    +

    450 

    +

    451 filepath2 = os.path.join(dirpath, "modified") 

    +

    452 d3plot1.write_d3plot(filepath2) 

    +

    453 

    +

    454 d3plot_modif = D3plot(filepath2) 

    +

    455 self.assertTrue(ArrayType.element_shell_internal_energy not in d3plot_modif.arrays) 

    +

    456 

    +

    457 def test_reading_selected_states(self): 

    +

    458 

    +

    459 # read all states 

    +

    460 filepath = "test/d3plot_solid_int/d3plot" 

    +

    461 

    +

    462 d3plot = D3plot(filepath) 

    +

    463 d3plot2 = D3plot(filepath, state_filter=np.arange(0, 22)) 

    +

    464 

    +

    465 hdr_diff, array_diff = d3plot.compare(d3plot2) 

    +

    466 

    +

    467 self.assertDictEqual(hdr_diff, {}) 

    +

    468 self.assertDictEqual(array_diff, {}) 

    +

    469 

    +

    470 # select first and last state 

    +

    471 d3plot = D3plot(filepath, state_filter={0, -1}) 

    +

    472 

    +

    473 node_id = 119 

    +

    474 disp_node_real = np.array( 

    +

    475 [[50.0, 70.0, 5.0], [47.50418, 70.0, -10.000001]], dtype=np.float32 

    +

    476 ) 

    +

    477 

    +

    478 node_index = d3plot.arrays[ArrayType.node_ids].tolist().index(node_id) 

    +

    479 node_disp = d3plot.arrays[ArrayType.node_displacement][:, node_index] 

    +

    480 

    +

    481 np.testing.assert_allclose(node_disp, disp_node_real, rtol=1e-4) 

    +
    + + + diff --git a/coverage/d_233c5ceebba6ed8d_test_mapper_py.html b/coverage/d_233c5ceebba6ed8d_test_mapper_py.html new file mode 100644 index 0000000..6755172 --- /dev/null +++ b/coverage/d_233c5ceebba6ed8d_test_mapper_py.html @@ -0,0 +1,575 @@ + + + + + Coverage for lasso/dyna/test_mapper.py: 92% + + + + + +
    +
    +

    + Coverage for lasso/dyna/test_mapper.py: + 92% +

    + +

    + 102 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1from typing import Dict, Set, Tuple, Union 

    +

    2from unittest import TestCase 

    +

    3 

    +

    4import numpy as np 

    +

    5 

    +

    6from ..femzip.fz_config import FemzipArrayType, FemzipVariableCategory 

    +

    7from .array_type import ArrayType 

    +

    8from .femzip_mapper import FemzipMapper 

    +

    9 

    +

    10part_global_femzip_translations: Dict[Tuple[FemzipArrayType, FemzipVariableCategory], Set[str]] = { 

    +

    11 # GLOBAL 

    +

    12 (FemzipArrayType.GLOBAL_DATA, FemzipVariableCategory.GLOBAL): { 

    +

    13 # ArrayType.global_timesteps, 

    +

    14 ArrayType.global_internal_energy, 

    +

    15 ArrayType.global_kinetic_energy, 

    +

    16 ArrayType.global_total_energy, 

    +

    17 ArrayType.global_velocity, 

    +

    18 }, 

    +

    19 # PART 

    +

    20 (FemzipArrayType.PART_RESULTS, FemzipVariableCategory.PART): { 

    +

    21 ArrayType.part_hourglass_energy, 

    +

    22 ArrayType.part_internal_energy, 

    +

    23 ArrayType.part_kinetic_energy, 

    +

    24 ArrayType.part_mass, 

    +

    25 ArrayType.part_velocity, 

    +

    26 }, 

    +

    27} 

    +

    28 

    +

    29element_nope_femzip_translations: Dict[Tuple[str, FemzipVariableCategory], str] = { 

    +

    30 # NODE 

    +

    31 ( 

    +

    32 FemzipArrayType.NODE_DISPLACEMENT.value, 

    +

    33 FemzipVariableCategory.NODE, 

    +

    34 ): ArrayType.node_displacement, 

    +

    35 ( 

    +

    36 FemzipArrayType.NODE_ACCELERATIONS.value, 

    +

    37 FemzipVariableCategory.NODE, 

    +

    38 ): ArrayType.node_acceleration, 

    +

    39 (FemzipArrayType.NODE_VELOCITIES.value, FemzipVariableCategory.NODE): ArrayType.node_velocity, 

    +

    40 ( 

    +

    41 FemzipArrayType.NODE_TEMPERATURES.value, 

    +

    42 FemzipVariableCategory.NODE, 

    +

    43 ): ArrayType.node_temperature, 

    +

    44 (FemzipArrayType.NODE_HEAT_FLUX.value, FemzipVariableCategory.NODE): ArrayType.node_heat_flux, 

    +

    45 ( 

    +

    46 FemzipArrayType.NODE_MASS_SCALING.value, 

    +

    47 FemzipVariableCategory.NODE, 

    +

    48 ): ArrayType.node_mass_scaling, 

    +

    49 ( 

    +

    50 FemzipArrayType.NODE_TEMPERATURE_GRADIENT.value, 

    +

    51 FemzipVariableCategory.NODE, 

    +

    52 ): ArrayType.node_temperature_gradient, 

    +

    53 # BEAM 

    +

    54 ( 

    +

    55 FemzipArrayType.BEAM_AXIAL_FORCE.value, 

    +

    56 FemzipVariableCategory.BEAM, 

    +

    57 ): ArrayType.element_beam_axial_force, 

    +

    58 ( 

    +

    59 FemzipArrayType.BEAM_S_BENDING_MOMENT.value, 

    +

    60 FemzipVariableCategory.BEAM, 

    +

    61 ): ArrayType.element_beam_bending_moment, 

    +

    62 ( 

    +

    63 FemzipArrayType.BEAM_T_BENDING_MOMENT.value, 

    +

    64 FemzipVariableCategory.BEAM, 

    +

    65 ): ArrayType.element_beam_bending_moment, 

    +

    66 ( 

    +

    67 FemzipArrayType.BEAM_S_SHEAR_RESULTANT.value, 

    +

    68 FemzipVariableCategory.BEAM, 

    +

    69 ): ArrayType.element_beam_shear_force, 

    +

    70 ( 

    +

    71 FemzipArrayType.BEAM_T_SHEAR_RESULTANT.value, 

    +

    72 FemzipVariableCategory.BEAM, 

    +

    73 ): ArrayType.element_beam_shear_force, 

    +

    74 ( 

    +

    75 FemzipArrayType.BEAM_TORSIONAL_MOMENT.value, 

    +

    76 FemzipVariableCategory.BEAM, 

    +

    77 ): ArrayType.element_beam_torsion_moment, 

    +

    78 (FemzipArrayType.STRESS_X.value, FemzipVariableCategory.SHELL): ArrayType.element_shell_stress, 

    +

    79 (FemzipArrayType.STRESS_Y.value, FemzipVariableCategory.SHELL): ArrayType.element_shell_stress, 

    +

    80 (FemzipArrayType.STRESS_Z.value, FemzipVariableCategory.SHELL): ArrayType.element_shell_stress, 

    +

    81 (FemzipArrayType.STRESS_XY.value, FemzipVariableCategory.SHELL): ArrayType.element_shell_stress, 

    +

    82 (FemzipArrayType.STRESS_YZ.value, FemzipVariableCategory.SHELL): ArrayType.element_shell_stress, 

    +

    83 (FemzipArrayType.STRESS_XZ.value, FemzipVariableCategory.SHELL): ArrayType.element_shell_stress, 

    +

    84 ( 

    +

    85 FemzipArrayType.EFF_PSTRAIN.value, 

    +

    86 FemzipVariableCategory.SHELL, 

    +

    87 ): ArrayType.element_shell_effective_plastic_strain, 

    +

    88 ( 

    +

    89 FemzipArrayType.HISTORY_VARS.value, 

    +

    90 FemzipVariableCategory.SHELL, 

    +

    91 ): ArrayType.element_shell_history_vars, 

    +

    92 ( 

    +

    93 FemzipArrayType.BENDING_MOMENT_MX.value, 

    +

    94 FemzipVariableCategory.SHELL, 

    +

    95 ): ArrayType.element_shell_bending_moment, 

    +

    96 ( 

    +

    97 FemzipArrayType.BENDING_MOMENT_MY.value, 

    +

    98 FemzipVariableCategory.SHELL, 

    +

    99 ): ArrayType.element_shell_bending_moment, 

    +

    100 ( 

    +

    101 FemzipArrayType.BENDING_MOMENT_MXY.value, 

    +

    102 FemzipVariableCategory.SHELL, 

    +

    103 ): ArrayType.element_shell_bending_moment, 

    +

    104 ( 

    +

    105 FemzipArrayType.SHEAR_FORCE_X.value, 

    +

    106 FemzipVariableCategory.SHELL, 

    +

    107 ): ArrayType.element_shell_shear_force, 

    +

    108 ( 

    +

    109 FemzipArrayType.SHEAR_FORCE_Y.value, 

    +

    110 FemzipVariableCategory.SHELL, 

    +

    111 ): ArrayType.element_shell_shear_force, 

    +

    112 ( 

    +

    113 FemzipArrayType.NORMAL_FORCE_X.value, 

    +

    114 FemzipVariableCategory.SHELL, 

    +

    115 ): ArrayType.element_shell_normal_force, 

    +

    116 ( 

    +

    117 FemzipArrayType.NORMAL_FORCE_Y.value, 

    +

    118 FemzipVariableCategory.SHELL, 

    +

    119 ): ArrayType.element_shell_normal_force, 

    +

    120 ( 

    +

    121 FemzipArrayType.NORMAL_FORCE_XY.value, 

    +

    122 FemzipVariableCategory.SHELL, 

    +

    123 ): ArrayType.element_shell_normal_force, 

    +

    124 ( 

    +

    125 FemzipArrayType.THICKNESS.value, 

    +

    126 FemzipVariableCategory.SHELL, 

    +

    127 ): ArrayType.element_shell_thickness, 

    +

    128 ( 

    +

    129 FemzipArrayType.UNKNOWN_1.value, 

    +

    130 FemzipVariableCategory.SHELL, 

    +

    131 ): ArrayType.element_shell_unknown_variables, 

    +

    132 ( 

    +

    133 FemzipArrayType.UNKNOWN_2.value, 

    +

    134 FemzipVariableCategory.SHELL, 

    +

    135 ): ArrayType.element_shell_unknown_variables, 

    +

    136 ( 

    +

    137 FemzipArrayType.STRAIN_INNER_X.value, 

    +

    138 FemzipVariableCategory.SHELL, 

    +

    139 ): ArrayType.element_shell_strain, 

    +

    140 ( 

    +

    141 FemzipArrayType.STRAIN_INNER_Y.value, 

    +

    142 FemzipVariableCategory.SHELL, 

    +

    143 ): ArrayType.element_shell_strain, 

    +

    144 ( 

    +

    145 FemzipArrayType.STRAIN_INNER_Z.value, 

    +

    146 FemzipVariableCategory.SHELL, 

    +

    147 ): ArrayType.element_shell_strain, 

    +

    148 ( 

    +

    149 FemzipArrayType.STRAIN_INNER_XY.value, 

    +

    150 FemzipVariableCategory.SHELL, 

    +

    151 ): ArrayType.element_shell_strain, 

    +

    152 ( 

    +

    153 FemzipArrayType.STRAIN_INNER_YZ.value, 

    +

    154 FemzipVariableCategory.SHELL, 

    +

    155 ): ArrayType.element_shell_strain, 

    +

    156 ( 

    +

    157 FemzipArrayType.STRAIN_INNER_XZ.value, 

    +

    158 FemzipVariableCategory.SHELL, 

    +

    159 ): ArrayType.element_shell_strain, 

    +

    160 ( 

    +

    161 FemzipArrayType.STRAIN_OUTER_X.value, 

    +

    162 FemzipVariableCategory.SHELL, 

    +

    163 ): ArrayType.element_shell_strain, 

    +

    164 ( 

    +

    165 FemzipArrayType.STRAIN_OUTER_Y.value, 

    +

    166 FemzipVariableCategory.SHELL, 

    +

    167 ): ArrayType.element_shell_strain, 

    +

    168 ( 

    +

    169 FemzipArrayType.STRAIN_OUTER_Z.value, 

    +

    170 FemzipVariableCategory.SHELL, 

    +

    171 ): ArrayType.element_shell_strain, 

    +

    172 ( 

    +

    173 FemzipArrayType.STRAIN_OUTER_XY.value, 

    +

    174 FemzipVariableCategory.SHELL, 

    +

    175 ): ArrayType.element_shell_strain, 

    +

    176 ( 

    +

    177 FemzipArrayType.STRAIN_OUTER_YZ.value, 

    +

    178 FemzipVariableCategory.SHELL, 

    +

    179 ): ArrayType.element_shell_strain, 

    +

    180 ( 

    +

    181 FemzipArrayType.STRAIN_OUTER_XZ.value, 

    +

    182 FemzipVariableCategory.SHELL, 

    +

    183 ): ArrayType.element_shell_strain, 

    +

    184 ( 

    +

    185 FemzipArrayType.INTERNAL_ENERGY.value, 

    +

    186 FemzipVariableCategory.SHELL, 

    +

    187 ): ArrayType.element_shell_internal_energy, 

    +

    188 # SOLID 

    +

    189 (FemzipArrayType.STRESS_X.value, FemzipVariableCategory.SOLID): ArrayType.element_solid_stress, 

    +

    190 (FemzipArrayType.STRESS_Y.value, FemzipVariableCategory.SOLID): ArrayType.element_solid_stress, 

    +

    191 (FemzipArrayType.STRESS_Z.value, FemzipVariableCategory.SOLID): ArrayType.element_solid_stress, 

    +

    192 (FemzipArrayType.STRESS_XY.value, FemzipVariableCategory.SOLID): ArrayType.element_solid_stress, 

    +

    193 (FemzipArrayType.STRESS_YZ.value, FemzipVariableCategory.SOLID): ArrayType.element_solid_stress, 

    +

    194 (FemzipArrayType.STRESS_XZ.value, FemzipVariableCategory.SOLID): ArrayType.element_solid_stress, 

    +

    195 ( 

    +

    196 FemzipArrayType.EFF_PSTRAIN.value, 

    +

    197 FemzipVariableCategory.SOLID, 

    +

    198 ): ArrayType.element_solid_effective_plastic_strain, 

    +

    199 ( 

    +

    200 FemzipArrayType.STRAIN_INNER_X.value, 

    +

    201 FemzipVariableCategory.SOLID, 

    +

    202 ): ArrayType.element_solid_strain, 

    +

    203 ( 

    +

    204 FemzipArrayType.STRAIN_INNER_Y.value, 

    +

    205 FemzipVariableCategory.SOLID, 

    +

    206 ): ArrayType.element_solid_strain, 

    +

    207 ( 

    +

    208 FemzipArrayType.STRAIN_INNER_Z.value, 

    +

    209 FemzipVariableCategory.SOLID, 

    +

    210 ): ArrayType.element_solid_strain, 

    +

    211 ( 

    +

    212 FemzipArrayType.STRAIN_INNER_XY.value, 

    +

    213 FemzipVariableCategory.SOLID, 

    +

    214 ): ArrayType.element_solid_strain, 

    +

    215 ( 

    +

    216 FemzipArrayType.HISTORY_VARS.value, 

    +

    217 FemzipVariableCategory.SOLID, 

    +

    218 ): ArrayType.element_solid_history_variables, 

    +

    219 ( 

    +

    220 FemzipArrayType.STRAIN_INNER_YZ.value, 

    +

    221 FemzipVariableCategory.SOLID, 

    +

    222 ): ArrayType.element_solid_strain, 

    +

    223 ( 

    +

    224 FemzipArrayType.STRAIN_INNER_XZ.value, 

    +

    225 FemzipVariableCategory.SOLID, 

    +

    226 ): ArrayType.element_solid_strain, 

    +

    227 ( 

    +

    228 FemzipArrayType.STRAIN_OUTER_X.value, 

    +

    229 FemzipVariableCategory.SOLID, 

    +

    230 ): ArrayType.element_solid_strain, 

    +

    231 ( 

    +

    232 FemzipArrayType.STRAIN_OUTER_Y.value, 

    +

    233 FemzipVariableCategory.SOLID, 

    +

    234 ): ArrayType.element_solid_strain, 

    +

    235 ( 

    +

    236 FemzipArrayType.STRAIN_OUTER_Z.value, 

    +

    237 FemzipVariableCategory.SOLID, 

    +

    238 ): ArrayType.element_solid_strain, 

    +

    239 ( 

    +

    240 FemzipArrayType.STRAIN_OUTER_XY.value, 

    +

    241 FemzipVariableCategory.SOLID, 

    +

    242 ): ArrayType.element_solid_strain, 

    +

    243 ( 

    +

    244 FemzipArrayType.STRAIN_OUTER_YZ.value, 

    +

    245 FemzipVariableCategory.SOLID, 

    +

    246 ): ArrayType.element_solid_strain, 

    +

    247 ( 

    +

    248 FemzipArrayType.STRAIN_OUTER_XZ.value, 

    +

    249 FemzipVariableCategory.SOLID, 

    +

    250 ): ArrayType.element_solid_strain, 

    +

    251} 

    +

    252 

    +

    253 

    +

    254class MapperTest(TestCase): 

    +

    255 def validate( 

    +

    256 self, 

    +

    257 fz: Dict[Tuple[str, FemzipVariableCategory], np.ndarray], 

    +

    258 d3plot_shape: tuple, 

    +

    259 data_index_positions: Union[tuple, slice] = slice(None), 

    +

    260 ): 

    +

    261 """Validate that the arrays have the same shape and that the 

    +

    262 raw data has been allocated to the correct positions in the 

    +

    263 d3plot arrays. 

    +

    264 

    +

    265 Parameters 

    +

    266 ---------- 

    +

    267 fz: 

    +

    268 femzip data following the same schema as in the api 

    +

    269 d3plot_shape: 

    +

    270 shape of the d3plot array 

    +

    271 data_index_positions: 

    +

    272 positions of the raw data in the d3plot array 

    +

    273 """ 

    +

    274 d3plot_name = [] 

    +

    275 

    +

    276 m = FemzipMapper() 

    +

    277 

    +

    278 # filter out parts and globals if they exist 

    +

    279 for key in fz.keys(): 

    +

    280 if key in element_nope_femzip_translations: 

    +

    281 d3plot_name.append(element_nope_femzip_translations[key]) 

    +

    282 

    +

    283 d3plot_name = set(d3plot_name).pop() 

    +

    284 

    +

    285 m.map(fz) 

    +

    286 

    +

    287 _ = m.d3plot_arrays[d3plot_name] 

    +

    288 

    +

    289 def test_nodal_disp(self): 

    +

    290 m = FemzipMapper() 

    +

    291 

    +

    292 # NODE DISPLACEMENT 

    +

    293 nd = np.random.randn(2, 10, 3) 

    +

    294 

    +

    295 fz = {(1, FemzipArrayType.NODE_DISPLACEMENT.value, FemzipVariableCategory.NODE): nd} 

    +

    296 

    +

    297 m.map(fz) 

    +

    298 

    +

    299 result = m.d3plot_arrays 

    +

    300 self.assertTrue(np.allclose(nd, result["node_displacement"])) 

    +

    301 

    +

    302 def test_tshells(self): 

    +

    303 d = np.random.randn(2, 2) 

    +

    304 

    +

    305 fz = { 

    +

    306 (1, "Sigma-z (IP 2)", FemzipVariableCategory.THICK_SHELL): d, 

    +

    307 (2, "Epsilon-xy (inner)", FemzipVariableCategory.THICK_SHELL): d, 

    +

    308 } 

    +

    309 

    +

    310 m = FemzipMapper() 

    +

    311 

    +

    312 m.map(fz) 

    +

    313 

    +

    314 r = m.d3plot_arrays 

    +

    315 

    +

    316 self.assertEqual(r[ArrayType.element_tshell_stress].shape, (2, 2, 2, 3)) 

    +

    317 self.assertTrue(np.allclose(r[ArrayType.element_tshell_stress][:, :, 1, 2], d)) 

    +

    318 

    +

    319 self.assertEqual(r[ArrayType.element_tshell_strain].shape, (2, 2, 1, 4)) 

    +

    320 self.assertTrue(np.allclose(r[ArrayType.element_tshell_strain][:, :, 0, 3], d)) 

    +

    321 

    +

    322 def test_internal_shell_energy(self): 

    +

    323 interal_energy = np.array([[1, 1, 0.12, 2.121202, 2.1123, 7.213]]).reshape(2, 3) 

    +

    324 

    +

    325 fz = { 

    +

    326 (1, "internal_energy", FemzipVariableCategory.SHELL): interal_energy, 

    +

    327 } 

    +

    328 m = FemzipMapper() 

    +

    329 

    +

    330 m.map(fz) 

    +

    331 

    +

    332 r = m.d3plot_arrays[ArrayType.element_shell_internal_energy] 

    +

    333 self.assertTrue(np.allclose(r, interal_energy)) 

    +

    334 

    +

    335 def test_dependent_variable(self): 

    +

    336 d1 = np.random.randn(2, 1200) 

    +

    337 d2 = np.random.randn(2, 1200) 

    +

    338 

    +

    339 fz: Dict[Tuple[int, str, FemzipVariableCategory], np.ndarray] = { 

    +

    340 (1, "element_dependent_variable_2", FemzipVariableCategory.SHELL): d2, 

    +

    341 (2, "element_dependent_variable_1", FemzipVariableCategory.SHELL): d1, 

    +

    342 } 

    +

    343 m = FemzipMapper() 

    +

    344 

    +

    345 m.map(fz) 

    +

    346 

    +

    347 r = m.d3plot_arrays 

    +

    348 

    +

    349 self.assertEqual(r[ArrayType.element_shell_unknown_variables].shape, (2, 1200, 2)) 

    +

    350 

    +

    351 self.assertTrue(np.allclose(d1, r[ArrayType.element_shell_unknown_variables][:, :, 0])) 

    +

    352 self.assertTrue(np.allclose(d2, r[ArrayType.element_shell_unknown_variables][:, :, 1])) 

    +

    353 

    +

    354 def test_effective_p_strain(self): 

    +

    355 m = FemzipMapper() 

    +

    356 d1 = np.random.randn(2, 20000) 

    +

    357 d2 = np.random.randn(2, 20000) 

    +

    358 d3 = np.random.randn(2, 20000) 

    +

    359 

    +

    360 fz: Dict[Tuple[int, str, FemzipVariableCategory], np.ndarray] = { 

    +

    361 (1, "Effective plastic strain ( 1)", FemzipVariableCategory.SHELL): d1, 

    +

    362 (2, "Effective plastic strain ( 2)", FemzipVariableCategory.SHELL): d2, 

    +

    363 (3, "Effective plastic strain ( 3)", FemzipVariableCategory.SHELL): d3, 

    +

    364 } 

    +

    365 

    +

    366 m.map(fz) 

    +

    367 

    +

    368 r = m.d3plot_arrays 

    +

    369 

    +

    370 self.assertEqual(r[ArrayType.element_shell_effective_plastic_strain].shape, (2, 20000, 3)) 

    +

    371 

    +

    372 self.assertTrue( 

    +

    373 np.allclose(d1, r[ArrayType.element_shell_effective_plastic_strain][:, :, 0]) 

    +

    374 ) 

    +

    375 self.assertTrue( 

    +

    376 np.allclose(d2, r[ArrayType.element_shell_effective_plastic_strain][:, :, 1]) 

    +

    377 ) 

    +

    378 self.assertTrue( 

    +

    379 np.allclose(d3, r[ArrayType.element_shell_effective_plastic_strain][:, :, 2]) 

    +

    380 ) 

    +

    381 

    +

    382 def test_others(self): 

    +

    383 stress_1 = np.random.randn(2, 2) 

    +

    384 stress_2 = np.random.randn(2, 2) 

    +

    385 stress_3 = np.random.randn(2, 2) 

    +

    386 

    +

    387 strain1 = np.random.randn(1, 2) 

    +

    388 strain2 = np.random.randn(1, 2) 

    +

    389 

    +

    390 history_vars = np.array([[1, 2], [0, 3], [12, 2]], dtype=np.float) 

    +

    391 

    +

    392 history_vars1 = np.random.randn(3, 2) 

    +

    393 history_vars2 = np.random.randn(3, 2) 

    +

    394 

    +

    395 fz: Dict[Tuple[int, str, FemzipVariableCategory], np.ndarray] = { 

    +

    396 # stress 

    +

    397 (1, "Sigma-x (IP 6)", FemzipVariableCategory.SOLID): stress_1, 

    +

    398 (2, "Sigma-y (IP 3)", FemzipVariableCategory.SOLID): stress_2, 

    +

    399 (3, "Sigma-x (IP 3)", FemzipVariableCategory.SOLID): stress_3, 

    +

    400 # history 

    +

    401 (4, "extra_value_per_element 2 (IP 2)", FemzipVariableCategory.SOLID): history_vars, 

    +

    402 (5, "extra_value_per_element 21 (IP 15)", FemzipVariableCategory.SOLID): history_vars1, 

    +

    403 (6, "extra_value_per_element 4 (IP 3)", FemzipVariableCategory.SOLID): history_vars2, 

    +

    404 # strain 

    +

    405 (7, "Epsilon-xy (outer)", FemzipVariableCategory.SHELL): strain1, 

    +

    406 (8, "Epsilon-z (outer)", FemzipVariableCategory.SHELL): strain2, 

    +

    407 } 

    +

    408 

    +

    409 m = FemzipMapper() 

    +

    410 

    +

    411 m.map(fz) 

    +

    412 

    +

    413 r = m.d3plot_arrays 

    +

    414 

    +

    415 self.assertEqual(r[ArrayType.element_solid_stress].shape, (2, 2, 6, 2)) 

    +

    416 

    +

    417 self.assertTrue(np.allclose(stress_1, r[ArrayType.element_solid_stress][:, :, 5, 0])) 

    +

    418 self.assertTrue(np.allclose(stress_2, r[ArrayType.element_solid_stress][:, :, 2, 1])) 

    +

    419 self.assertTrue(np.allclose(stress_3, r[ArrayType.element_solid_stress][:, :, 2, 0])) 

    +

    420 

    +

    421 self.assertEqual(r[ArrayType.element_solid_history_variables].shape, (3, 2, 15, 21)) 

    +

    422 

    +

    423 self.assertTrue( 

    +

    424 np.allclose(history_vars, r[ArrayType.element_solid_history_variables][:, :, 1, 1]) 

    +

    425 ) 

    +

    426 

    +

    427 self.assertTrue( 

    +

    428 np.allclose(history_vars1, r[ArrayType.element_solid_history_variables][:, :, 14, 20]) 

    +

    429 ) 

    +

    430 

    +

    431 self.assertTrue( 

    +

    432 np.allclose(history_vars2, r[ArrayType.element_solid_history_variables][:, :, 2, 3]) 

    +

    433 ) 

    +

    434 

    +

    435 self.assertEqual(r[ArrayType.element_shell_strain].shape, (1, 2, 2, 4)) 

    +

    436 

    +

    437 def test_beam(self): 

    +

    438 axial_force = np.random.randn(5, 12) 

    +

    439 shear = np.random.randn(2, 4) 

    +

    440 

    +

    441 bending = np.random.randn(3, 123) 

    +

    442 torsion = np.random.rand(2, 5) 

    +

    443 

    +

    444 fz: Dict[Tuple[int, str, FemzipVariableCategory], np.ndarray] = { 

    +

    445 (1, "axial_force", FemzipVariableCategory.BEAM): axial_force, 

    +

    446 (2, "s_shear_resultant", FemzipVariableCategory.BEAM): shear, 

    +

    447 (3, "t_bending_moment", FemzipVariableCategory.BEAM): bending, 

    +

    448 (4, "torsional_resultant", FemzipVariableCategory.BEAM): torsion, 

    +

    449 } 

    +

    450 

    +

    451 m = FemzipMapper() 

    +

    452 

    +

    453 m.map(fz) 

    +

    454 

    +

    455 r = m.d3plot_arrays 

    +

    456 

    +

    457 # axial force 

    +

    458 self.assertTrue(np.allclose(r["element_beam_axial_force"], axial_force)) 

    +

    459 

    +

    460 self.assertEqual(r[ArrayType.element_beam_shear_force].shape, (2, 4, 1)) 

    +

    461 self.assertTrue(np.allclose(r[ArrayType.element_beam_shear_force][:, :, 0], shear)) 

    +

    462 

    +

    463 # bending moment 

    +

    464 self.assertEqual(r[ArrayType.element_beam_bending_moment].shape, (3, 123, 2)) 

    +

    465 self.assertTrue(np.allclose(r[ArrayType.element_beam_bending_moment][:, :, 1], bending)) 

    +

    466 

    +

    467 # torsion 

    +

    468 self.assertEqual(r[ArrayType.element_beam_torsion_moment].shape, (2, 5)) 

    +

    469 self.assertTrue(np.allclose(r[ArrayType.element_beam_torsion_moment], torsion)) 

    +

    470 

    +

    471 # # TODO 

    +

    472 # # unknown1 and unknown2 

    +

    473 

    +

    474 # # shp 

    +

    475 

    +

    476 # # airbags 

    +

    477 

    +

    478 # # rigids 

    +
    + + + diff --git a/coverage/d_2a4fb047d150a06c___init___py.html b/coverage/d_2a4fb047d150a06c___init___py.html new file mode 100644 index 0000000..0da2c64 --- /dev/null +++ b/coverage/d_2a4fb047d150a06c___init___py.html @@ -0,0 +1,97 @@ + + + + + Coverage for lasso/utils/__init__.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/utils/__init__.py: + 100% +

    + +

    + 0 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +
    + + + diff --git a/coverage/d_2a4fb047d150a06c_console_coloring_py.html b/coverage/d_2a4fb047d150a06c_console_coloring_py.html new file mode 100644 index 0000000..389c416 --- /dev/null +++ b/coverage/d_2a4fb047d150a06c_console_coloring_py.html @@ -0,0 +1,234 @@ + + + + + Coverage for lasso/utils/console_coloring.py: 85% + + + + + +
    +
    +

    + Coverage for lasso/utils/console_coloring.py: + 85% +

    + +

    + 34 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1class ConsoleColoring: 

    +

    2 """Holds coloring escape sequences for command line shells""" 

    +

    3 

    +

    4 # text coloring 

    +

    5 LIGHT_GREEN = "\033[92m" 

    +

    6 LIGHT_RED = "\033[91m" 

    +

    7 LIGHT_CYAN = "\033[96m" 

    +

    8 LIGHT_BLUE = "\033[94m" 

    +

    9 LIGHT_PURPLE = "\033[95m" 

    +

    10 LIGHT_YELLOW = "\033[93m" 

    +

    11 

    +

    12 PURPLE = "\033[95m" 

    +

    13 RED = "\033[91m" 

    +

    14 GREEN = "\u001b[32m" 

    +

    15 CYAN = "\u001b[36m" 

    +

    16 WHITE = "\u001b[37m" 

    +

    17 BLACK = "\u001b[30m" 

    +

    18 BLUE = "\u001b[34m" 

    +

    19 ORANGE = "\u001b[33m" 

    +

    20 

    +

    21 # special stuff 

    +

    22 BOLD = "\033[1m" 

    +

    23 UNDERLINE = "\033[4m" 

    +

    24 REVERSED = "\u001b[7m" 

    +

    25 

    +

    26 # ends coloring 

    +

    27 RESET = "\033[0m" 

    +

    28 

    +

    29 @staticmethod 

    +

    30 def purple(msg, light=False): 

    +

    31 """Format a string in purple 

    +

    32 

    +

    33 Parameters 

    +

    34 ---------- 

    +

    35 msg : `str` 

    +

    36 string to format 

    +

    37 light : `bool` 

    +

    38 whether to use light coloring 

    +

    39 

    +

    40 Returns 

    +

    41 ------- 

    +

    42 formatted_msg : `str` 

    +

    43 string colored for console output 

    +

    44 """ 

    +

    45 return ( 

    +

    46 ConsoleColoring.LIGHT_PURPLE + msg + ConsoleColoring.RESET 

    +

    47 if light 

    +

    48 else ConsoleColoring.PURPLE + msg + ConsoleColoring.RESET 

    +

    49 ) 

    +

    50 

    +

    51 @staticmethod 

    +

    52 def yellow(msg, light=False): 

    +

    53 """Format a string in yellow 

    +

    54 

    +

    55 Parameters 

    +

    56 ---------- 

    +

    57 msg : `str` 

    +

    58 string to format 

    +

    59 light : `bool` 

    +

    60 whether to use light coloring 

    +

    61 

    +

    62 Returns 

    +

    63 ------- 

    +

    64 formatted_msg : `str` 

    +

    65 string colored for console output 

    +

    66 """ 

    +

    67 return ( 

    +

    68 ConsoleColoring.LIGHT_YELLOW + msg + ConsoleColoring.RESET 

    +

    69 if light 

    +

    70 else ConsoleColoring.ORANGE + msg + ConsoleColoring.RESET 

    +

    71 ) 

    +

    72 

    +

    73 @staticmethod 

    +

    74 def red(msg, light=False): 

    +

    75 """Format a string in red 

    +

    76 

    +

    77 Parameters 

    +

    78 ---------- 

    +

    79 msg : `str` 

    +

    80 string to format 

    +

    81 light : `bool` 

    +

    82 whether to use light coloring 

    +

    83 

    +

    84 Returns 

    +

    85 ------- 

    +

    86 formatted_msg : `str` 

    +

    87 string colored for console output 

    +

    88 """ 

    +

    89 return ( 

    +

    90 ConsoleColoring.LIGHT_RED + msg + ConsoleColoring.RESET 

    +

    91 if light 

    +

    92 else ConsoleColoring.RED + msg + ConsoleColoring.RESET 

    +

    93 ) 

    +

    94 

    +

    95 @staticmethod 

    +

    96 def green(msg, light=False): 

    +

    97 """Format a string in green 

    +

    98 

    +

    99 Parameters 

    +

    100 ---------- 

    +

    101 msg : `str` 

    +

    102 string to format 

    +

    103 light : `bool` 

    +

    104 whether to use light coloring 

    +

    105 

    +

    106 Returns 

    +

    107 ------- 

    +

    108 formatted_msg : `str` 

    +

    109 string colored for console output 

    +

    110 """ 

    +

    111 return ( 

    +

    112 ConsoleColoring.LIGHT_GREEN + msg + ConsoleColoring.RESET 

    +

    113 if light 

    +

    114 else ConsoleColoring.GREEN + msg + ConsoleColoring.RESET 

    +

    115 ) 

    +

    116 

    +

    117 @staticmethod 

    +

    118 def blue(msg, light=False): 

    +

    119 """Format a string in green 

    +

    120 

    +

    121 Parameters 

    +

    122 ---------- 

    +

    123 msg : `str` 

    +

    124 string to format 

    +

    125 light : `bool` 

    +

    126 whether to use light coloring 

    +

    127 

    +

    128 Returns 

    +

    129 ------- 

    +

    130 formatted_msg : `str` 

    +

    131 string colored for console output 

    +

    132 """ 

    +

    133 return ( 

    +

    134 ConsoleColoring.LIGHT_BLUE + msg + ConsoleColoring.RESET 

    +

    135 if light 

    +

    136 else ConsoleColoring.BLUE + msg + ConsoleColoring.RESET 

    +

    137 ) 

    +
    + + + diff --git a/coverage/d_2a4fb047d150a06c_decorators_py.html b/coverage/d_2a4fb047d150a06c_decorators_py.html new file mode 100644 index 0000000..dc6a889 --- /dev/null +++ b/coverage/d_2a4fb047d150a06c_decorators_py.html @@ -0,0 +1,151 @@ + + + + + Coverage for lasso/utils/decorators.py: 0% + + + + + +
    +
    +

    + Coverage for lasso/utils/decorators.py: + 0% +

    + +

    + 28 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import inspect 

    +

    2 

    +

    3 

    +

    4# Source: https://www.fast.ai/2019/08/06/delegation/ 

    +

    5 

    +

    6 

    +

    7def delegates(to_function=None, keep=False): 

    +

    8 """Decorator: replace `**kwargs` in signature with params from `to`""" 

    +

    9 

    +

    10 def _f(f_att): 

    +

    11 if to_function is None: 

    +

    12 to_f, from_f = f_att.__base__.__init__, f_att.__init__ 

    +

    13 else: 

    +

    14 to_f, from_f = to_function, f_att 

    +

    15 sig = inspect.signature(from_f) 

    +

    16 sig_dict = dict(sig.parameters) 

    +

    17 k = sig_dict.pop("kwargs") 

    +

    18 s2_dict = { 

    +

    19 k: v 

    +

    20 for k, v in inspect.signature(to_f).parameters.items() 

    +

    21 if v.default != inspect.Parameter.empty and k not in sig_dict 

    +

    22 } 

    +

    23 sig_dict.update(s2_dict) 

    +

    24 if keep: 

    +

    25 sig_dict["kwargs"] = k 

    +

    26 # noinspection PyTypeChecker 

    +

    27 from_f.__signature__ = sig.replace(parameters=sig_dict.values()) 

    +

    28 return f_att 

    +

    29 

    +

    30 return _f 

    +

    31 

    +

    32 

    +

    33def custom_dir(custom_c, add): 

    +

    34 """Custom dir *add description?""" 

    +

    35 return dir(type(custom_c)) + list(custom_c.__dict__.keys()) + add 

    +

    36 

    +

    37 

    +

    38class GetAttr: 

    +

    39 

    +

    40 """ 

    +

    41 Base class for attr accesses in `self._xtra` passed down to `self.default 

    +

    42 """ 

    +

    43 

    +

    44 @property 

    +

    45 def _xtra(self): 

    +

    46 return [o for o in dir(self.default) if not o.startswith("_")] 

    +

    47 

    +

    48 def __getattr__(self, k): 

    +

    49 if k in self._xtra: 

    +

    50 return getattr(self.default, k) 

    +

    51 raise AttributeError(k) 

    +

    52 

    +

    53 def __dir__(self): 

    +

    54 return custom_dir(self, self._xtra) 

    +
    + + + diff --git a/coverage/d_2a4fb047d150a06c_language_py.html b/coverage/d_2a4fb047d150a06c_language_py.html new file mode 100644 index 0000000..efbcfb4 --- /dev/null +++ b/coverage/d_2a4fb047d150a06c_language_py.html @@ -0,0 +1,154 @@ + + + + + Coverage for lasso/utils/language.py: 0% + + + + + +
    +
    +

    + Coverage for lasso/utils/language.py: + 0% +

    + +

    + 21 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1def get_var(name, context, default=None): 

    +

    2 """Get a variable from a dict context 

    +

    3 

    +

    4 Parameters 

    +

    5 ---------- 

    +

    6 name : str or list(str) 

    +

    7 variable name 

    +

    8 context : dict 

    +

    9 variable dict 

    +

    10 default: 

    +

    11 default value or function which creates the default 

    +

    12 value if failed to find var in context 

    +

    13 """ 

    +

    14 if not isinstance(name, (list, tuple)): 

    +

    15 name = (name,) 

    +

    16 

    +

    17 current_context = context 

    +

    18 for current_name in name: 

    +

    19 if current_name in current_context: 

    +

    20 current_context = current_context[current_name] 

    +

    21 else: 

    +

    22 return default() if callable(default) else default 

    +

    23 

    +

    24 return current_context 

    +

    25 

    +

    26 

    +

    27def set_var(name, value, context): 

    +

    28 """ 

    +

    29 Set a variable in a dict context 

    +

    30 

    +

    31 Parameters 

    +

    32 ---------- 

    +

    33 name : str or list(str) 

    +

    34 variable name or path as list 

    +

    35 value : object 

    +

    36 anything to set 

    +

    37 context : dict 

    +

    38 variable dict 

    +

    39 """ 

    +

    40 

    +

    41 if not isinstance(name, (list, tuple)): 

    +

    42 name = (name,) 

    +

    43 

    +

    44 current_context = context 

    +

    45 for i_name, current_name in enumerate(name): 

    +

    46 

    +

    47 # at last level set var 

    +

    48 if i_name == len(name) - 1: 

    +

    49 current_context[current_name] = value 

    +

    50 # otherwise iterate into next level 

    +

    51 else: 

    +

    52 if current_name in current_context: 

    +

    53 current_context = current_context[current_name] 

    +

    54 else: 

    +

    55 new_level = {} 

    +

    56 current_context[current_name] = new_level 

    +

    57 current_context = new_level 

    +
    + + + diff --git a/coverage/d_2a4fb047d150a06c_rich_progress_bars_py.html b/coverage/d_2a4fb047d150a06c_rich_progress_bars_py.html new file mode 100644 index 0000000..a582b88 --- /dev/null +++ b/coverage/d_2a4fb047d150a06c_rich_progress_bars_py.html @@ -0,0 +1,222 @@ + + + + + Coverage for lasso/utils/rich_progress_bars.py: 42% + + + + + +
    +
    +

    + Coverage for lasso/utils/rich_progress_bars.py: + 42% +

    + +

    + 78 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import math 

    +

    2import time 

    +

    3from typing import Any 

    +

    4 

    +

    5from rich.progress import ProgressColumn 

    +

    6 

    +

    7 

    +

    8class PlaceHolderBar: 

    +

    9 """This bar is simply a placeholder bar""" 

    +

    10 

    +

    11 finished: bool 

    +

    12 tasks: list = [] 

    +

    13 

    +

    14 # noinspection PyUnusedLocal 

    +

    15 # pylint: disable = unused-argument 

    +

    16 def __init__(self, **kwargs): 

    +

    17 """This is a placeholder to not clutter console during testing""" 

    +

    18 self.finished: False 

    +

    19 

    +

    20 # noinspection PyUnusedLocal 

    +

    21 # pylint: disable = unused-argument 

    +

    22 def render(self, task: Any) -> str: 

    +

    23 """returns the planned output: empty string""" 

    +

    24 return "" 

    +

    25 

    +

    26 def add_task(self, description: str, total: int) -> int: 

    +

    27 """Adds a new task""" 

    +

    28 self.tasks.append([description, total, 0]) 

    +

    29 # entry in list is tuple of description, total tasks, remaining tasks 

    +

    30 return len(self.tasks) - 1 

    +

    31 

    +

    32 def advance(self, task_id): 

    +

    33 """advances the given task""" 

    +

    34 prog = self.tasks[task_id][2] 

    +

    35 prog += 1 

    +

    36 self.tasks[task_id][2] = prog 

    +

    37 if prog == self.tasks[task_id][1]: 

    +

    38 self.finished = True 

    +

    39 

    +

    40 def __enter__(self): 

    +

    41 self.finished = False 

    +

    42 

    +

    43 def __exit__(self, exception_type, exception_value, traceback): 

    +

    44 self.finished = True 

    +

    45 

    +

    46 

    +

    47class WorkingDots(ProgressColumn): 

    +

    48 """TODO: add description""" 

    +

    49 

    +

    50 max_refresh = 0.5 

    +

    51 is_silenced: bool = False 

    +

    52 

    +

    53 def __init__(self, output=True): 

    +

    54 self.counter = 0 

    +

    55 if not output: 

    +

    56 self.is_silenced = True 

    +

    57 super().__init__() 

    +

    58 

    +

    59 def render(self, task: Any) -> str: 

    +

    60 self.counter += 1 

    +

    61 if self.is_silenced: 

    +

    62 return "" 

    +

    63 if task.completed == task.total: 

    +

    64 msg = "..." 

    +

    65 elif self.counter % 3 == 0: 

    +

    66 msg = ". " 

    +

    67 elif self.counter % 3 == 1: 

    +

    68 msg = ".. " 

    +

    69 else: 

    +

    70 msg = "..." 

    +

    71 self.counter = 2 

    +

    72 return msg 

    +

    73 

    +

    74 

    +

    75class SubsamplingWaitTime(ProgressColumn): 

    +

    76 """TODO: add description""" 

    +

    77 

    +

    78 max_refresh = 0.5 

    +

    79 

    +

    80 def __init__(self, n_proc: int): 

    +

    81 super().__init__() 

    +

    82 

    +

    83 # Last time we updated 

    +

    84 self.last_time = time.time() 

    +

    85 # Cumulative time of all completed sub-sampling processes 

    +

    86 self.cum_time = 0 

    +

    87 # Number of parallel running processes 

    +

    88 self.n_proc = n_proc 

    +

    89 self.t_rem = -1 

    +

    90 

    +

    91 def render(self, task: Any) -> str: 

    +

    92 """TODO: add description?""" 

    +

    93 

    +

    94 if task.completed == task.total: 

    +

    95 return "Time remaining: 00:00" 

    +

    96 

    +

    97 if self.cum_time > 0: 

    +

    98 avrg_time = self.cum_time / max(1, task.completed) 

    +

    99 rem_tasks = task.total - task.completed 

    +

    100 gr_tasks = math.floor(rem_tasks / self.n_proc) 

    +

    101 if (rem_tasks % self.n_proc) != 0: 

    +

    102 gr_tasks += 1 

    +

    103 

    +

    104 total_time = gr_tasks * avrg_time 

    +

    105 if self.t_rem < 0 or self.t_rem > total_time: 

    +

    106 self.t_rem = total_time 

    +

    107 

    +

    108 t_out = self.t_rem - (time.time() - self.last_time) 

    +

    109 mins = str(math.floor(t_out / 60)) 

    +

    110 secs = str(math.trunc(t_out % 60)) 

    +

    111 

    +

    112 if len(mins) == 1: 

    +

    113 mins = "0" + mins 

    +

    114 if len(secs) == 1: 

    +

    115 secs = "0" + secs 

    +

    116 out_str = "Time remaining: " + mins + ":" + secs 

    +

    117 return out_str 

    +

    118 

    +

    119 return "Time remaining: --:--" 

    +

    120 

    +

    121 def update_avrg(self, new_time: float): 

    +

    122 """TODO: add description""" 

    +

    123 

    +

    124 self.cum_time += new_time 

    +

    125 self.last_time = time.time() 

    +
    + + + diff --git a/coverage/d_306dfaf9bde54f34___init___py.html b/coverage/d_306dfaf9bde54f34___init___py.html new file mode 100644 index 0000000..0dc0b67 --- /dev/null +++ b/coverage/d_306dfaf9bde54f34___init___py.html @@ -0,0 +1,97 @@ + + + + + Coverage for lasso/__init__.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/__init__.py: + 100% +

    + +

    + 0 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +
    + + + diff --git a/coverage/d_306dfaf9bde54f34_logging_py.html b/coverage/d_306dfaf9bde54f34_logging_py.html new file mode 100644 index 0000000..ca61d84 --- /dev/null +++ b/coverage/d_306dfaf9bde54f34_logging_py.html @@ -0,0 +1,205 @@ + + + + + Coverage for lasso/logging.py: 77% + + + + + +
    +
    +

    + Coverage for lasso/logging.py: + 77% +

    + +

    + 22 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import logging 

    +

    2import platform 

    +

    3 

    +

    4from lasso.utils.console_coloring import ConsoleColoring 

    +

    5 

    +

    6# settings 

    +

    7MARKER_INFO = "[/]" 

    +

    8MARKER_RUNNING = "[~]" 

    +

    9MARKER_WARNING = "[!]" 

    +

    10MARKER_SUCCESS = "[Y]" if platform.system() == "Windows" else "[✔]" 

    +

    11MARKER_ERROR = "[X]" if platform.system() == "Windows" else "[✘]" 

    +

    12 

    +

    13LOGGER_NAME = "lasso" 

    +

    14 

    +

    15 

    +

    16def str_info(msg: str): 

    +

    17 """Format a message as stuff is running 

    +

    18 

    +

    19 Parameters 

    +

    20 ---------- 

    +

    21 msg: str 

    +

    22 message to format 

    +

    23 

    +

    24 Returns 

    +

    25 ------- 

    +

    26 msg_ret: str 

    +

    27 formatted message 

    +

    28 """ 

    +

    29 # return ConsoleColoring.blue("[/] {0}".format(msg), light=True) 

    +

    30 return f"{MARKER_INFO} {msg}" 

    +

    31 

    +

    32 

    +

    33def str_running(msg: str): 

    +

    34 """Format a message as stuff is running 

    +

    35 

    +

    36 Parameters 

    +

    37 ---------- 

    +

    38 msg: str 

    +

    39 message to format 

    +

    40 

    +

    41 Returns 

    +

    42 ------- 

    +

    43 msg_ret: str 

    +

    44 formatted message 

    +

    45 """ 

    +

    46 return f"{MARKER_RUNNING} {msg}" 

    +

    47 

    +

    48 

    +

    49def str_success(msg: str): 

    +

    50 """Format a message as successful 

    +

    51 

    +

    52 Parameters 

    +

    53 ---------- 

    +

    54 msg: str 

    +

    55 message to format 

    +

    56 

    +

    57 Returns 

    +

    58 ------- 

    +

    59 msg_ret: str 

    +

    60 formatted message 

    +

    61 """ 

    +

    62 return ConsoleColoring.green(f"{MARKER_SUCCESS} {msg}") 

    +

    63 

    +

    64 

    +

    65def str_warn(msg: str): 

    +

    66 """Format a string as a warning 

    +

    67 

    +

    68 Parameters 

    +

    69 ---------- 

    +

    70 msg: str 

    +

    71 message to format 

    +

    72 

    +

    73 Returns 

    +

    74 ------- 

    +

    75 msg_ret: str 

    +

    76 formatted message 

    +

    77 """ 

    +

    78 return ConsoleColoring.yellow(f"{MARKER_WARNING} {msg}") 

    +

    79 

    +

    80 

    +

    81def str_error(msg: str): 

    +

    82 """Format a string as an error 

    +

    83 

    +

    84 Parameters 

    +

    85 ---------- 

    +

    86 msg: str 

    +

    87 message to format 

    +

    88 

    +

    89 Returns 

    +

    90 ------- 

    +

    91 msg_ret: str 

    +

    92 formatted message 

    +

    93 """ 

    +

    94 return ConsoleColoring.red(f"{MARKER_ERROR} {msg}") 

    +

    95 

    +

    96 

    +

    97def get_logger(file_flag: str) -> logging.Logger: 

    +

    98 """Get the logger for the lasso module 

    +

    99 

    +

    100 Returns 

    +

    101 ------- 

    +

    102 logger: logging.Logger 

    +

    103 logger for the lasso module 

    +

    104 """ 

    +

    105 logging.basicConfig( 

    +

    106 datefmt="[%(levelname)s] %(message)s [%(pathname)s %(funcName)s %(lineno)d]" 

    +

    107 ) 

    +

    108 return logging.getLogger(file_flag) 

    +
    + + + diff --git a/coverage/d_542c2d228fe7f497___init___py.html b/coverage/d_542c2d228fe7f497___init___py.html new file mode 100644 index 0000000..4a34907 --- /dev/null +++ b/coverage/d_542c2d228fe7f497___init___py.html @@ -0,0 +1,97 @@ + + + + + Coverage for lasso/math/__init__.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/math/__init__.py: + 100% +

    + +

    + 0 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +
    + + + diff --git a/coverage/d_542c2d228fe7f497_sampling_py.html b/coverage/d_542c2d228fe7f497_sampling_py.html new file mode 100644 index 0000000..a3f3cec --- /dev/null +++ b/coverage/d_542c2d228fe7f497_sampling_py.html @@ -0,0 +1,175 @@ + + + + + Coverage for lasso/math/sampling.py: 59% + + + + + +
    +
    +

    + Coverage for lasso/math/sampling.py: + 59% +

    + +

    + 22 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import random 

    +

    2from typing import Union 

    +

    3import numpy as np 

    +

    4from sklearn.neighbors import KDTree 

    +

    5 

    +

    6 

    +

    7def unique_subsamples(start: int, end: int, n_samples: int, seed=None) -> np.ndarray: 

    +

    8 """Retrieve unique subsample indexes 

    +

    9 

    +

    10 Parameters 

    +

    11 ---------- 

    +

    12 start: int 

    +

    13 starting index of population 

    +

    14 end: int 

    +

    15 ending index of population (end <= start) 

    +

    16 n_samples: int 

    +

    17 number of samples to draw 

    +

    18 seed: int 

    +

    19 seed for random number generator 

    +

    20 

    +

    21 Returns 

    +

    22 ------- 

    +

    23 indexes: np.ndarray 

    +

    24 unique sample indexes 

    +

    25 """ 

    +

    26 assert start <= end 

    +

    27 

    +

    28 if end - start < n_samples: 

    +

    29 n_samples = end - start 

    +

    30 

    +

    31 random.seed(seed) 

    +

    32 indexes = np.array(random.sample(range(start, end), n_samples), dtype=np.int64) 

    +

    33 random.seed() 

    +

    34 return indexes 

    +

    35 

    +

    36 

    +

    37def homogenize_density( 

    +

    38 points: np.ndarray, 

    +

    39 dim: int = 2, 

    +

    40 target_distance: Union[float, None] = None, 

    +

    41 n_neighbors: int = 18, 

    +

    42 seed=None, 

    +

    43) -> np.ndarray: 

    +

    44 """homogenize a cloud density by probabilities 

    +

    45 

    +

    46 Parameters 

    +

    47 ---------- 

    +

    48 points: np.ndarray 

    +

    49 point cloud 

    +

    50 dim: int 

    +

    51 intrinsic dimension of the data 

    +

    52 target_distance: float 

    +

    53 target distance to aim for 

    +

    54 n_neighbors: int 

    +

    55 neighbors used for computation of average neighborhood distance 

    +

    56 seed: int 

    +

    57 seed for random number generator 

    +

    58 

    +

    59 Returns 

    +

    60 ------- 

    +

    61 is_selected: np.ndarray 

    +

    62 boolean array indicating which subsamples were selected 

    +

    63 """ 

    +

    64 n_neighbors = min(n_neighbors, len(points)) 

    +

    65 

    +

    66 random.seed(seed) 

    +

    67 d, _ = KDTree(points).query(points, k=n_neighbors + 1) 

    +

    68 d_average = np.average(d[:, 1:], axis=1) 

    +

    69 if target_distance is None: 

    +

    70 target_distance = np.median(d_average) 

    +

    71 is_selected = np.array( 

    +

    72 [ 

    +

    73 dist >= target_distance or random.random() < (dist / target_distance) ** dim 

    +

    74 for i, dist in enumerate(d_average) 

    +

    75 ] 

    +

    76 ) 

    +

    77 random.seed() 

    +

    78 return is_selected 

    +
    + + + diff --git a/coverage/d_542c2d228fe7f497_stochastic_py.html b/coverage/d_542c2d228fe7f497_stochastic_py.html new file mode 100644 index 0000000..e19b0f0 --- /dev/null +++ b/coverage/d_542c2d228fe7f497_stochastic_py.html @@ -0,0 +1,123 @@ + + + + + Coverage for lasso/math/stochastic.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/math/stochastic.py: + 100% +

    + +

    + 9 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import numpy as np 

    +

    2from scipy import stats 

    +

    3 

    +

    4 

    +

    5def jensen_shannon_entropy(p: np.ndarray, q: np.ndarray) -> float: 

    +

    6 """Jensen Shannon Entropy 

    +

    7 

    +

    8 Parameters 

    +

    9 ---------- 

    +

    10 p: np.ndarray 

    +

    11 first probability distribution 

    +

    12 q: np.ndarray 

    +

    13 second probability distribution 

    +

    14 

    +

    15 Returns 

    +

    16 ------- 

    +

    17 js_divergence: float 

    +

    18 Jensen-Shannon divergence 

    +

    19 """ 

    +

    20 p = np.asarray(p) 

    +

    21 q = np.asarray(q) 

    +

    22 # normalize 

    +

    23 p = p / p.sum() 

    +

    24 q = q / q.sum() 

    +

    25 m = (p + q) / 2 

    +

    26 return (stats.entropy(p, m) + stats.entropy(q, m)) / 2 

    +
    + + + diff --git a/coverage/d_542c2d228fe7f497_test_sampling_py.html b/coverage/d_542c2d228fe7f497_test_sampling_py.html new file mode 100644 index 0000000..5dac2bd --- /dev/null +++ b/coverage/d_542c2d228fe7f497_test_sampling_py.html @@ -0,0 +1,107 @@ + + + + + Coverage for lasso/math/test_sampling.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/math/test_sampling.py: + 100% +

    + +

    + 6 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import unittest 

    +

    2 

    +

    3from lasso.math.sampling import unique_subsamples 

    +

    4 

    +

    5 

    +

    6class Test(unittest.TestCase): 

    +

    7 def test_unique_subsamples(self): 

    +

    8 

    +

    9 self.assertEqual(len(set(unique_subsamples(0, 20, 100))), 20) 

    +

    10 self.assertEqual(len(set(unique_subsamples(0, 200, 100))), 100) 

    +
    + + + diff --git a/coverage/d_542c2d228fe7f497_test_stochastic_py.html b/coverage/d_542c2d228fe7f497_test_stochastic_py.html new file mode 100644 index 0000000..12131e9 --- /dev/null +++ b/coverage/d_542c2d228fe7f497_test_stochastic_py.html @@ -0,0 +1,110 @@ + + + + + Coverage for lasso/math/test_stochastic.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/math/test_stochastic.py: + 100% +

    + +

    + 9 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import unittest 

    +

    2 

    +

    3from lasso.math.stochastic import jensen_shannon_entropy 

    +

    4 

    +

    5 

    +

    6class Test(unittest.TestCase): 

    +

    7 def test_jensen_shannon_entropy(self): 

    +

    8 p1 = [0.5, 0.5, 0.0] 

    +

    9 p2 = [0, 0.1, 0.9] 

    +

    10 

    +

    11 self.assertEqual(jensen_shannon_entropy(p1, p1), 0) 

    +

    12 self.assertAlmostEqual(jensen_shannon_entropy(p1, p2), 0.55797881790005399) 

    +

    13 self.assertAlmostEqual(jensen_shannon_entropy(p2, p1), 0.55797881790005399) 

    +
    + + + diff --git a/coverage/d_8c1f8dfb65cd62c9___init___py.html b/coverage/d_8c1f8dfb65cd62c9___init___py.html new file mode 100644 index 0000000..b2460bb --- /dev/null +++ b/coverage/d_8c1f8dfb65cd62c9___init___py.html @@ -0,0 +1,97 @@ + + + + + Coverage for lasso/io/__init__.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/io/__init__.py: + 100% +

    + +

    + 0 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +
    + + + diff --git a/coverage/d_8c1f8dfb65cd62c9_binary_buffer_py.html b/coverage/d_8c1f8dfb65cd62c9_binary_buffer_py.html new file mode 100644 index 0000000..a57f98a --- /dev/null +++ b/coverage/d_8c1f8dfb65cd62c9_binary_buffer_py.html @@ -0,0 +1,386 @@ + + + + + Coverage for lasso/io/binary_buffer.py: 87% + + + + + +
    +
    +

    + Coverage for lasso/io/binary_buffer.py: + 87% +

    + +

    + 78 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import mmap 

    +

    2import os 

    +

    3from typing import Any, List, Union 

    +

    4 

    +

    5import numpy as np 

    +

    6 

    +

    7 

    +

    8class BinaryBuffer: 

    +

    9 """This class is used to handle binary data""" 

    +

    10 

    +

    11 def __init__(self, filepath: Union[str, None] = None, n_bytes: int = 0): 

    +

    12 """Buffer used to read binary files 

    +

    13 

    +

    14 Parameters 

    +

    15 ---------- 

    +

    16 filepath: Union[str, None] 

    +

    17 path to a binary file 

    +

    18 n_bytes: int 

    +

    19 how many bytes to load (uses memory mapping) 

    +

    20 

    +

    21 Returns 

    +

    22 ------- 

    +

    23 instance: BinaryBuffer 

    +

    24 """ 

    +

    25 self.filepath_ = None 

    +

    26 self.sizes_ = [] 

    +

    27 self.load(filepath, n_bytes) 

    +

    28 

    +

    29 @property 

    +

    30 def memoryview(self) -> memoryview: 

    +

    31 """Get the underlying memoryview of the binary buffer 

    +

    32 

    +

    33 Returns 

    +

    34 ------- 

    +

    35 mv_: memoryview 

    +

    36 memoryview used to store the data 

    +

    37 """ 

    +

    38 return self.mv_ 

    +

    39 

    +

    40 @memoryview.setter 

    +

    41 def memoryview(self, new_mv): 

    +

    42 """Set the memoryview of the binary buffer manually 

    +

    43 

    +

    44 Parameters 

    +

    45 ---------- 

    +

    46 new_mv: memoryview 

    +

    47 memoryview used to store the bytes 

    +

    48 """ 

    +

    49 assert isinstance(new_mv, memoryview) 

    +

    50 self.mv_ = new_mv 

    +

    51 self.sizes_ = [len(self.mv_)] 

    +

    52 

    +

    53 def get_slice(self, start: int, end=Union[None, int], step: int = 1) -> "BinaryBuffer": 

    +

    54 """Get a slice of the binary buffer 

    +

    55 

    +

    56 Parameters 

    +

    57 ---------- 

    +

    58 start: int 

    +

    59 start position in bytes 

    +

    60 end: Union[int, None] 

    +

    61 end position 

    +

    62 step: int 

    +

    63 step for slicing (default 1) 

    +

    64 

    +

    65 Returns 

    +

    66 ------- 

    +

    67 new_buffer: BinaryBuffer 

    +

    68 the slice as a new buffer 

    +

    69 """ 

    +

    70 

    +

    71 assert start < len(self) 

    +

    72 assert end is None or end < len(self) 

    +

    73 

    +

    74 end = len(self) if end is None else end 

    +

    75 

    +

    76 new_binary_buffer = BinaryBuffer() 

    +

    77 new_binary_buffer.memoryview = self.mv_[start:end:step] 

    +

    78 

    +

    79 return new_binary_buffer 

    +

    80 

    +

    81 def __len__(self) -> int: 

    +

    82 """Get the length of the byte buffer 

    +

    83 

    +

    84 Returns 

    +

    85 ------- 

    +

    86 len: int 

    +

    87 """ 

    +

    88 return len(self.mv_) 

    +

    89 

    +

    90 @property 

    +

    91 def size(self) -> int: 

    +

    92 """Get the size of the byte buffer 

    +

    93 

    +

    94 Returns 

    +

    95 ------- 

    +

    96 size: int 

    +

    97 size of buffer in bytes 

    +

    98 """ 

    +

    99 return len(self.mv_) 

    +

    100 

    +

    101 @size.setter 

    +

    102 def size(self, size: int): 

    +

    103 """Set the length of the byte buffer 

    +

    104 

    +

    105 Parameters 

    +

    106 ---------- 

    +

    107 size: int 

    +

    108 new size of the buffer 

    +

    109 """ 

    +

    110 

    +

    111 if len(self.mv_) > size: 

    +

    112 self.mv_ = self.mv_[:size] 

    +

    113 elif len(self.mv_) < size: 

    +

    114 buffer = bytearray(self.mv_) + bytearray(b"0" * (size - len(self.mv_))) 

    +

    115 self.mv_ = memoryview(buffer) 

    +

    116 

    +

    117 def read_number(self, start: int, dtype: np.dtype) -> Union[float, int]: 

    +

    118 """Read a number from the buffer 

    +

    119 

    +

    120 Parameters 

    +

    121 ---------- 

    +

    122 start: int 

    +

    123 at which byte to start reading 

    +

    124 dtype: np.dtype 

    +

    125 type of the number to read 

    +

    126 

    +

    127 Returns 

    +

    128 ------- 

    +

    129 number: np.dtype 

    +

    130 number with the type specified 

    +

    131 """ 

    +

    132 return np.frombuffer(self.mv_, dtype=dtype, count=1, offset=start)[0] 

    +

    133 

    +

    134 def write_number(self, start: int, value: Any, dtype: np.dtype): 

    +

    135 """Write a number to the buffer 

    +

    136 

    +

    137 Parameters 

    +

    138 ---------- 

    +

    139 start: int 

    +

    140 at which byte to start writing 

    +

    141 value: Any 

    +

    142 value to write 

    +

    143 dtype: np.dtype 

    +

    144 type of the number to write 

    +

    145 """ 

    +

    146 

    +

    147 wrapper = np.frombuffer(self.mv_[start:], dtype=dtype) 

    +

    148 wrapper[0] = value 

    +

    149 

    +

    150 def read_ndarray(self, start: int, length: int, step: int, dtype: np.dtype) -> np.ndarray: 

    +

    151 """Read a numpy array from the buffer 

    +

    152 

    +

    153 Parameters 

    +

    154 ---------- 

    +

    155 start: int 

    +

    156 at which byte to start reading 

    +

    157 length: int 

    +

    158 length in bytes to read 

    +

    159 step: int 

    +

    160 byte step size (how many bytes to skip) 

    +

    161 dtype: np.dtype 

    +

    162 type of the number to read 

    +

    163 

    +

    164 Returns 

    +

    165 ------- 

    +

    166 array: np.ndarray 

    +

    167 """ 

    +

    168 

    +

    169 return np.frombuffer(self.mv_[start : start + length : step], dtype=dtype) 

    +

    170 

    +

    171 def write_ndarray(self, array: np.ndarray, start: int, step: int): 

    +

    172 """Write a numpy array to the buffer 

    +

    173 

    +

    174 Parameters 

    +

    175 ---------- 

    +

    176 array: np.ndarray 

    +

    177 array to save to the file 

    +

    178 start: int 

    +

    179 start in bytes 

    +

    180 step: int 

    +

    181 byte step size (how many bytes to skip) 

    +

    182 """ 

    +

    183 

    +

    184 wrapper = np.frombuffer(self.mv_[start::step], dtype=array.dtype) 

    +

    185 

    +

    186 np.copyto(wrapper[: array.size], array, casting="no") 

    +

    187 

    +

    188 def read_text(self, start: int, length: int, step: int = 1, encoding: str = "utf8") -> str: 

    +

    189 """Read text from the binary buffer 

    +

    190 

    +

    191 Parameters 

    +

    192 ---------- 

    +

    193 start: int 

    +

    194 start in bytes 

    +

    195 length: int 

    +

    196 length in bytes to read 

    +

    197 step: int 

    +

    198 byte step size 

    +

    199 encoding: str 

    +

    200 encoding used 

    +

    201 """ 

    +

    202 return self.mv_[start : start + length : step].tobytes().decode(encoding) 

    +

    203 

    +

    204 def save(self, filepath: Union[str, None] = None): 

    +

    205 """Save the binary buffer to a file 

    +

    206 

    +

    207 Parameters 

    +

    208 ---------- 

    +

    209 filepath: str 

    +

    210 path where to save the data 

    +

    211 

    +

    212 Notes 

    +

    213 ----- 

    +

    214 Overwrites to original file if no filepath 

    +

    215 is specified. 

    +

    216 """ 

    +

    217 

    +

    218 filepath_parsed = filepath if filepath else (self.filepath_[0] if self.filepath_ else None) 

    +

    219 

    +

    220 if filepath_parsed is None: 

    +

    221 return 

    +

    222 

    +

    223 with open(filepath_parsed, "wb") as fp: 

    +

    224 fp.write(self.mv_) 

    +

    225 

    +

    226 self.filepath_ = filepath_parsed 

    +

    227 

    +

    228 def load(self, filepath: Union[List[str], str, None] = None, n_bytes: int = 0): 

    +

    229 """load a file 

    +

    230 

    +

    231 Parameters 

    +

    232 ---------- 

    +

    233 filepath: Union[str, None] 

    +

    234 path to the file to load 

    +

    235 n_bytes: int 

    +

    236 number of bytes to load (uses memory mapping if nonzero) 

    +

    237 

    +

    238 Notes 

    +

    239 ----- 

    +

    240 If not filepath is specified, then the opened file is simply 

    +

    241 reloaded. 

    +

    242 """ 

    +

    243 

    +

    244 filepath = filepath if filepath else self.filepath_ 

    +

    245 

    +

    246 if not filepath: 

    +

    247 return 

    +

    248 

    +

    249 # convert to a list if only a single file is given 

    +

    250 filepath_parsed = [filepath] if isinstance(filepath, str) else filepath 

    +

    251 

    +

    252 # get size of all files 

    +

    253 sizes = [os.path.getsize(path) for path in filepath_parsed] 

    +

    254 

    +

    255 # reduce memory if required 

    +

    256 sizes = [entry if n_bytes == 0 else min(n_bytes, entry) for entry in sizes] 

    +

    257 

    +

    258 memorysize = sum(sizes) 

    +

    259 

    +

    260 # allocate memory 

    +

    261 buffer = memoryview(bytearray(b"0" * memorysize)) 

    +

    262 

    +

    263 # read files and concatenate them 

    +

    264 sizes_tmp = [0] + sizes 

    +

    265 for i_path, path in enumerate(filepath_parsed): 

    +

    266 with open(path, "br") as fp: 

    +

    267 if n_bytes: 

    +

    268 mm = mmap.mmap(fp.fileno(), sizes[i_path], access=mmap.ACCESS_READ) 

    +

    269 buffer[sizes_tmp[i_path] :] = mm[: sizes[i_path]] 

    +

    270 else: 

    +

    271 fp.readinto(buffer[sizes_tmp[i_path] :]) 

    +

    272 

    +

    273 self.filepath_ = filepath_parsed 

    +

    274 self.sizes_ = sizes 

    +

    275 self.mv_ = buffer 

    +

    276 

    +

    277 def append(self, binary_buffer: "BinaryBuffer"): 

    +

    278 """Append another binary buffer to this one 

    +

    279 

    +

    280 Parameters 

    +

    281 ---------- 

    +

    282 binary_buffer: BinaryBuffer 

    +

    283 buffer to append 

    +

    284 """ 

    +

    285 

    +

    286 assert isinstance(binary_buffer, BinaryBuffer) 

    +

    287 

    +

    288 self.mv_ = memoryview(bytearray(self.mv_) + bytearray(binary_buffer.mv_)) 

    +

    289 self.sizes_.append(len(binary_buffer)) 

    +
    + + + diff --git a/coverage/d_8c1f8dfb65cd62c9_files_py.html b/coverage/d_8c1f8dfb65cd62c9_files_py.html new file mode 100644 index 0000000..5a66d2a --- /dev/null +++ b/coverage/d_8c1f8dfb65cd62c9_files_py.html @@ -0,0 +1,181 @@ + + + + + Coverage for lasso/io/files.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/io/files.py: + 100% +

    + +

    + 31 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import contextlib 

    +

    2import glob 

    +

    3import os 

    +

    4import typing 

    +

    5from typing import Iterator, List, Union 

    +

    6 

    +

    7 

    +

    8@contextlib.contextmanager 

    +

    9def open_file_or_filepath( 

    +

    10 path_or_file: Union[str, typing.BinaryIO], mode: str 

    +

    11) -> Iterator[typing.BinaryIO]: 

    +

    12 """This function accepts a file or filepath and handles closing correctly 

    +

    13 

    +

    14 Parameters 

    +

    15 ---------- 

    +

    16 path_or_file: Union[str, typing.IO] 

    +

    17 path or file 

    +

    18 mode: str 

    +

    19 filemode 

    +

    20 

    +

    21 Yields 

    +

    22 ------ 

    +

    23 f: file object 

    +

    24 """ 

    +

    25 if isinstance(path_or_file, str): 

    +

    26 # We open this file in binary mode anyway so no encoding is needed. 

    +

    27 # pylint: disable = unspecified-encoding 

    +

    28 f = file_to_close = open(path_or_file, mode) 

    +

    29 else: 

    +

    30 f = path_or_file 

    +

    31 file_to_close = None 

    +

    32 try: 

    +

    33 yield f 

    +

    34 finally: 

    +

    35 if file_to_close: 

    +

    36 file_to_close.close() 

    +

    37 

    +

    38 

    +

    39def collect_files( 

    +

    40 dirpath: Union[str, List[str]], patterns: Union[str, List[str]], recursive: bool = False 

    +

    41): 

    +

    42 """Collect files from directories 

    +

    43 

    +

    44 Parameters 

    +

    45 ---------- 

    +

    46 dirpath: Union[str, List[str]] 

    +

    47 path to one or multiple directories to search through 

    +

    48 patterns: Union[str, List[str]] 

    +

    49 patterns to search for 

    +

    50 recursive: bool 

    +

    51 whether to also search subdirs 

    +

    52 

    +

    53 Returns 

    +

    54 ------- 

    +

    55 found_files: Union[List[str], List[List[str]]] 

    +

    56 returns the list of files found for every pattern specified 

    +

    57 

    +

    58 Examples 

    +

    59 -------- 

    +

    60 >>> png_images, jpeg_images = collect_files('./folder', ['*.png', '*.jpeg']) 

    +

    61 """ 

    +

    62 

    +

    63 if not isinstance(dirpath, (list, tuple)): 

    +

    64 dirpath = [dirpath] 

    +

    65 if not isinstance(patterns, (list, tuple)): 

    +

    66 patterns = [patterns] 

    +

    67 

    +

    68 found_files = [] 

    +

    69 for pattern in patterns: 

    +

    70 

    +

    71 files_with_pattern = [] 

    +

    72 for current_dir in dirpath: 

    +

    73 # files in root dir 

    +

    74 files_with_pattern += glob.glob(os.path.join(current_dir, pattern)) 

    +

    75 # subfolders 

    +

    76 if recursive: 

    +

    77 files_with_pattern += glob.glob(os.path.join(current_dir, "**", pattern)) 

    +

    78 

    +

    79 found_files.append(sorted(files_with_pattern)) 

    +

    80 

    +

    81 if len(found_files) == 1: 

    +

    82 return found_files[0] 

    +

    83 

    +

    84 return found_files 

    +
    + + + diff --git a/coverage/d_8c1f8dfb65cd62c9_test_binary_buffer_py.html b/coverage/d_8c1f8dfb65cd62c9_test_binary_buffer_py.html new file mode 100644 index 0000000..df4a36d --- /dev/null +++ b/coverage/d_8c1f8dfb65cd62c9_test_binary_buffer_py.html @@ -0,0 +1,165 @@ + + + + + Coverage for lasso/io/test_binary_buffer.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/io/test_binary_buffer.py: + 100% +

    + +

    + 44 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import os 

    +

    2import numpy as np 

    +

    3from unittest import TestCase 

    +

    4import filecmp 

    +

    5 

    +

    6from lasso.io.binary_buffer import BinaryBuffer 

    +

    7 

    +

    8 

    +

    9class BinaryBufferTest(TestCase): 

    +

    10 def setUp(self): 

    +

    11 

    +

    12 # read file 

    +

    13 self.bb = BinaryBuffer("test/simple_d3plot/d3plot") 

    +

    14 

    +

    15 def test_init(self): 

    +

    16 

    +

    17 # test some stuff for fun 

    +

    18 self.assertEqual(self.bb.mv_[40:42].tobytes(), b"\xaf\\") 

    +

    19 self.assertEqual(len(self.bb), len(self.bb.mv_)) 

    +

    20 self.assertEqual(len(self.bb), 192512) 

    +

    21 

    +

    22 def test_memoryview(self): 

    +

    23 

    +

    24 self.assertEqual(self.bb.mv_, self.bb.memoryview) 

    +

    25 with self.assertRaises(AssertionError): 

    +

    26 self.bb.memoryview = None 

    +

    27 self.memoryview = memoryview(bytearray(b"")) 

    +

    28 

    +

    29 def test_reading(self): 

    +

    30 

    +

    31 # numbers 

    +

    32 self.assertEqual(self.bb.read_number(44, np.int32), 1) 

    +

    33 self.assertEqual(self.bb.read_number(56, np.float32), 960.0) 

    +

    34 

    +

    35 self.assertEqual(self.bb.read_text(0, 40), " " * 40) 

    +

    36 self.assertEqual(self.bb.read_text(52, 4), "R712") 

    +

    37 

    +

    38 self.assertListEqual(self.bb.read_ndarray(60, 12, 1, np.int32).tolist(), [4, 4915, 6]) 

    +

    39 

    +

    40 def test_save(self): 

    +

    41 

    +

    42 self.bb.save("test/tmp") 

    +

    43 eq = filecmp.cmp("test/simple_d3plot/d3plot", "test/tmp") 

    +

    44 os.remove("test/tmp") 

    +

    45 self.assertEqual(eq, True) 

    +

    46 

    +

    47 def test_writing(self): 

    +

    48 

    +

    49 bb = BinaryBuffer("test/simple_d3plot/d3plot") 

    +

    50 bb.write_number(44, 13, np.int32) 

    +

    51 self.assertEqual(bb.read_number(44, np.int32), 13) 

    +

    52 

    +

    53 array = np.array([1, 2, 3, 4], np.int32) 

    +

    54 bb.write_ndarray(array, 44, 1) 

    +

    55 self.assertListEqual(bb.read_ndarray(44, 16, 1, array.dtype).tolist(), array.tolist()) 

    +

    56 

    +

    57 def test_size(self): 

    +

    58 

    +

    59 bb = BinaryBuffer("test/simple_d3plot/d3plot") 

    +

    60 self.assertEqual(bb.size, 192512) 

    +

    61 self.assertEqual(bb.size, len(bb)) 

    +

    62 

    +

    63 bb.size = 192511 

    +

    64 self.assertEqual(bb.size, 192511) 

    +

    65 

    +

    66 bb.size = 192512 

    +

    67 self.assertEqual(bb.size, 192512) 

    +

    68 self.assertEqual(bb.mv_[-1 : len(bb)].tobytes(), b"0") 

    +
    + + + diff --git a/coverage/d_8c1f8dfb65cd62c9_test_files_py.html b/coverage/d_8c1f8dfb65cd62c9_test_files_py.html new file mode 100644 index 0000000..52ecd22 --- /dev/null +++ b/coverage/d_8c1f8dfb65cd62c9_test_files_py.html @@ -0,0 +1,118 @@ + + + + + Coverage for lasso/io/test_files.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/io/test_files.py: + 100% +

    + +

    + 14 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import unittest 

    +

    2from lasso.io.files import collect_files 

    +

    3 

    +

    4 

    +

    5class Test(unittest.TestCase): 

    +

    6 def test_collect_files(self): 

    +

    7 files = collect_files("test/io_test", "*.txt") 

    +

    8 self.assertEqual(len(files), 1) 

    +

    9 

    +

    10 files = collect_files("test/io_test/", "*.txt", recursive=True) 

    +

    11 self.assertEqual(len(files), 2) 

    +

    12 

    +

    13 files1, files2 = collect_files("test/io_test/", ["*.txt", "*.yay"], recursive=True) 

    +

    14 self.assertEqual(len(files1), 2) 

    +

    15 self.assertEqual(len(files2), 1) 

    +

    16 

    +

    17 files1, files2 = collect_files( 

    +

    18 ["test/io_test/", "test/io_test/subfolder"], ["*.txt", "*.yay"] 

    +

    19 ) 

    +

    20 self.assertEqual(len(files1), 2) 

    +

    21 self.assertEqual(len(files2), 1) 

    +
    + + + diff --git a/coverage/d_9912f5017dc9b562___init___py.html b/coverage/d_9912f5017dc9b562___init___py.html new file mode 100644 index 0000000..de30f3f --- /dev/null +++ b/coverage/d_9912f5017dc9b562___init___py.html @@ -0,0 +1,97 @@ + + + + + Coverage for lasso/plotting/resources/__init__.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/plotting/resources/__init__.py: + 100% +

    + +

    + 0 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

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    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

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    1# from .algorithms import * 

    +
    + + + diff --git a/coverage/d_9d33c8608d0cbf05_algorithms_py.html b/coverage/d_9d33c8608d0cbf05_algorithms_py.html new file mode 100644 index 0000000..bc8ed48 --- /dev/null +++ b/coverage/d_9d33c8608d0cbf05_algorithms_py.html @@ -0,0 +1,323 @@ + + + + + Coverage for lasso/dimred/sphere/algorithms.py: 0% + + + + + +
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    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import numpy as np 

    +

    2 

    +

    3from sklearn.preprocessing import normalize 

    +

    4 

    +

    5# scipy is C-code which causes invalid linter warning about ConvexHull not 

    +

    6# being around. 

    +

    7# pylint: disable = no-name-in-module 

    +

    8from scipy.spatial import ConvexHull 

    +

    9from scipy.stats import binned_statistic_2d 

    +

    10from scipy.stats._binned_statistic import BinnedStatistic2dResult 

    +

    11 

    +

    12 

    +

    13def to_spherical_coordinates(points: np.ndarray, centroid: np.ndarray, axis: str = "Z"): 

    +

    14 """Converts the points to spherical coordinates. 

    +

    15 

    +

    16 Parameters 

    +

    17 ---------- 

    +

    18 points: np.ndarray 

    +

    19 The point cloud to be sphered. 

    +

    20 centroid: np.ndarray 

    +

    21 Centroid of the point cloud. 

    +

    22 axis: str 

    +

    23 Sphere axis in the global coordinate system. 

    +

    24 

    +

    25 Returns 

    +

    26 ------- 

    +

    27 az : np.ndarray 

    +

    28 Azimuthal angle vector. 

    +

    29 po: np.ndarray 

    +

    30 Polar angle vector. 

    +

    31 

    +

    32 Notes 

    +

    33 ----- 

    +

    34 The local x-axis is set as the zero marker for azimuthal angles. 

    +

    35 """ 

    +

    36 indexes = [0, 1, 2] 

    +

    37 # set the correct indexes for swapping if the sphere 

    +

    38 # axis is not aligned with the global z axis 

    +

    39 if axis == "Y": 

    +

    40 indexes = [0, 2, 1] # sphere z axis aligned with global y-axis 

    +

    41 elif axis == "X": 

    +

    42 indexes = [2, 1, 0] # sphere z axis aligned with global x-axis 

    +

    43 

    +

    44 # vectors from centroid to points 

    +

    45 vec = points - centroid 

    +

    46 vec = normalize(vec, axis=1, norm="l2") 

    +

    47 

    +

    48 # azimuthal angles on the local xy plane 

    +

    49 # x-axis is the zero marker, and we correct 

    +

    50 # all negative angles 

    +

    51 az = np.arctan2(vec[:, indexes[1]], vec[:, indexes[0]]) 

    +

    52 neg_indexes = np.where(az < 0) 

    +

    53 az[neg_indexes] += 2 * np.pi 

    +

    54 

    +

    55 # polar angles 

    +

    56 po = np.arccos(vec[:, indexes[2]]) 

    +

    57 

    +

    58 return az, po 

    +

    59 

    +

    60 

    +

    61def sphere_hashing(histo: BinnedStatistic2dResult, field: np.ndarray): 

    +

    62 """Compute the hash of each bucket in the histogram by mapping 

    +

    63 the bin numbers to the field values and scaling the field values 

    +

    64 by the number of counts in each bin. 

    +

    65 

    +

    66 Parameters 

    +

    67 ---------- 

    +

    68 histo: BinnedStatistic2dResult 

    +

    69 3D histogram containing the indexes of all points of a simulation 

    +

    70 mapped to their projected bins. 

    +

    71 field: ndarray 

    +

    72 

    +

    73 Returns 

    +

    74 ------- 

    +

    75 hashes: np.ndarray 

    +

    76 The hashing result of all points mapped to an embedding space. 

    +

    77 

    +

    78 """ 

    +

    79 bin_n = histo.binnumber 

    +

    80 

    +

    81 assert len(bin_n[0] == len(field)) 

    +

    82 

    +

    83 # get dims of the embedding space 

    +

    84 n_rows = histo.statistic.shape[0] 

    +

    85 n_cols = histo.statistic.shape[1] 

    +

    86 

    +

    87 # bin stores the indexes of the points 

    +

    88 # index 0 stores the azimuthal angles 

    +

    89 # index 1 stores the polar angles 

    +

    90 # we want zero indexing 

    +

    91 binx = np.asarray(bin_n[0]) - 1 

    +

    92 biny = np.asarray(bin_n[1]) - 1 

    +

    93 

    +

    94 # allocate arrays 

    +

    95 bin_count = np.zeros((n_rows, n_cols)) 

    +

    96 hashes = np.zeros((n_rows, n_cols)) 

    +

    97 

    +

    98 # sum all the field values to each bin 

    +

    99 hashes[binx[:], biny[:]] += field[:] 

    +

    100 bin_count[binx[:], biny[:]] += 1 

    +

    101 

    +

    102 hashes = hashes.flatten() 

    +

    103 bin_count = bin_count.flatten() 

    +

    104 

    +

    105 # exclude all zero entries 

    +

    106 nonzero_inds = np.where(bin_count != 0) 

    +

    107 

    +

    108 # average the fields 

    +

    109 hashes[nonzero_inds] /= bin_count[nonzero_inds] 

    +

    110 

    +

    111 return hashes 

    +

    112 

    +

    113 

    +

    114def create_sphere(diameter: float): 

    +

    115 """Creates two vectors along the alpha and beta axis of a sphere. Alpha represents 

    +

    116 the angle from the sphere axis to the equator. Beta between vectors from the 

    +

    117 center of the sphere to one of the poles and the equator. 

    +

    118 

    +

    119 Parameters 

    +

    120 ---------- 

    +

    121 diameter: 

    +

    122 Diameter of the sphere. 

    +

    123 

    +

    124 Returns 

    +

    125 ------- 

    +

    126 bin_beta: np.ndarray 

    +

    127 Bin bounds for the beta angles. 

    +

    128 

    +

    129 bin_alpha: np.ndarray 

    +

    130 Bin bounds for the alpha angles. 

    +

    131 

    +

    132 """ 

    +

    133 # number of partitions for equator 

    +

    134 n_alpha = 145 

    +

    135 # number of partitions for longitude 

    +

    136 n_beta = 144 

    +

    137 

    +

    138 r = diameter / 2.0 

    +

    139 

    +

    140 # area of sphere 

    +

    141 a_sphere = 4 * np.pi * r**2 

    +

    142 n_ele = n_beta**2 

    +

    143 a_ele = a_sphere / n_ele 

    +

    144 

    +

    145 # alpha angles around the equator and the size of one step 

    +

    146 bin_alpha, delt_alpha = np.linspace(0, 2 * np.pi, n_alpha, retstep=True) 

    +

    147 

    +

    148 # bins for beta axis in terms of axis coorindates between -1 and 1 

    +

    149 count = np.linspace(0.0, float(n_beta), 145) 

    +

    150 tmp = count * a_ele 

    +

    151 tmp /= r**2 * delt_alpha 

    +

    152 bin_beta = 1 - tmp 

    +

    153 if bin_beta[-1] < -1: 

    +

    154 bin_beta[-1] = -1 

    +

    155 

    +

    156 bin_beta = np.arccos(bin_beta) 

    +

    157 return bin_alpha, bin_beta 

    +

    158 

    +

    159 

    +

    160def compute_similarity(embeddings: np.ndarray) -> np.ndarray: 

    +

    161 """Computes the similarity of each embedding. 

    +

    162 

    +

    163 Parameters 

    +

    164 ---------- 

    +

    165 embeddings: np.ndarray 

    +

    166 Model embeddings. 

    +

    167 

    +

    168 Returns 

    +

    169 ------- 

    +

    170 smatrix: np.ndarray 

    +

    171 Similarity matrix. 

    +

    172 """ 

    +

    173 

    +

    174 n_runs = len(embeddings) 

    +

    175 smatrix = np.empty((n_runs, n_runs), dtype=np.float32) 

    +

    176 for ii in range(n_runs): 

    +

    177 for jj in range(n_runs): 

    +

    178 smatrix[ii, jj] = np.dot(embeddings[ii], embeddings[jj]) / np.sqrt( 

    +

    179 np.dot(embeddings[ii], embeddings[ii]) * np.dot(embeddings[jj], embeddings[jj]) 

    +

    180 ) 

    +

    181 

    +

    182 return smatrix 

    +

    183 

    +

    184 

    +

    185def create_historgram( 

    +

    186 cloud: np.ndarray, sphere_axis: str = "Z", planar: bool = False 

    +

    187) -> BinnedStatistic2dResult: 

    +

    188 """Builds a histogram using the blocks of a sphered globe and returns a 

    +

    189 binned statistics result for two dimensions. 

    +

    190 

    +

    191 Parameters 

    +

    192 ---------- 

    +

    193 cloud: np.ndarray 

    +

    194 Point cloud around which we create an embedding. 

    +

    195 sphere_axis: str 

    +

    196 Axis of the sphere. This is aligned with the global axis system. 

    +

    197 planar: bool 

    +

    198 Set to true for planar point clouds and false for higher dimensions. 

    +

    199 

    +

    200 Returns 

    +

    201 ------- 

    +

    202 stats: BinnedStatistic2dResult 

    +

    203 Returns a 2D histogram of the sphere with bin numbers and bin statistics. 

    +

    204 """ 

    +

    205 # casting to array because of typing 

    +

    206 centroid = np.array(np.mean(cloud, axis=0)) 

    +

    207 

    +

    208 qhull_options = "" 

    +

    209 if planar: 

    +

    210 qhull_options = "QJ" 

    +

    211 

    +

    212 hull = ConvexHull(cloud, qhull_options=qhull_options) 

    +

    213 

    +

    214 # we need to determine the largest distance in this point 

    +

    215 # cloud, so we can give the sphere a dimension 

    +

    216 # we can also create a sphere of random size but this could 

    +

    217 # skew the results 

    +

    218 dist = np.linalg.norm(hull.max_bound - hull.min_bound) 

    +

    219 

    +

    220 bins_a, bins_b = create_sphere(dist) 

    +

    221 

    +

    222 cloud_alpha, cloud_beta = to_spherical_coordinates(cloud, centroid, axis=sphere_axis) 

    +

    223 

    +

    224 return binned_statistic_2d( 

    +

    225 cloud_alpha, cloud_beta, None, "count", bins=[bins_a, bins_b], expand_binnumbers=True 

    +

    226 ) 

    +
    + + + diff --git a/coverage/d_a84314dfc0388a73___init___py.html b/coverage/d_a84314dfc0388a73___init___py.html new file mode 100644 index 0000000..be61846 --- /dev/null +++ b/coverage/d_a84314dfc0388a73___init___py.html @@ -0,0 +1,100 @@ + + + + + Coverage for lasso/plotting/__init__.py: 100% + + + + + +
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    + Coverage for lasso/plotting/__init__.py: + 100% +

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    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1from .plot_shell_mesh import plot_shell_mesh 

    +

    2 

    +

    3__all__ = ["plot_shell_mesh"] 

    +
    + + + diff --git a/coverage/d_a84314dfc0388a73_plot_shell_mesh_py.html b/coverage/d_a84314dfc0388a73_plot_shell_mesh_py.html new file mode 100644 index 0000000..6cfce1a --- /dev/null +++ b/coverage/d_a84314dfc0388a73_plot_shell_mesh_py.html @@ -0,0 +1,314 @@ + + + + + Coverage for lasso/plotting/plot_shell_mesh.py: 15% + + + + + +
    +
    +

    + Coverage for lasso/plotting/plot_shell_mesh.py: + 15% +

    + +

    + 80 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import os 

    +

    2import io 

    +

    3import uuid 

    +

    4import json 

    +

    5from base64 import b64encode 

    +

    6from zipfile import ZipFile, ZIP_DEFLATED 

    +

    7from typing import Union, Tuple 

    +

    8import numpy as np 

    +

    9 

    +

    10 

    +

    11def _read_file(filepath: str): 

    +

    12 """This function reads file as str 

    +

    13 

    +

    14 Parameters 

    +

    15 ---------- 

    +

    16 filepath : str 

    +

    17 filepath of the file to read as string 

    +

    18 

    +

    19 Returns 

    +

    20 ------- 

    +

    21 file_content : str 

    +

    22 """ 

    +

    23 

    +

    24 with open(filepath, "r", encoding="utf-8") as fp_filepath: 

    +

    25 return fp_filepath.read() 

    +

    26 

    +

    27 

    +

    28def plot_shell_mesh( 

    +

    29 node_coordinates: np.ndarray, 

    +

    30 shell_node_indexes: np.ndarray, 

    +

    31 field: Union[np.ndarray, None] = None, 

    +

    32 is_element_field: bool = True, 

    +

    33 fringe_limits: Union[Tuple[float, float], None] = None, 

    +

    34): 

    +

    35 """Plot a mesh 

    +

    36 

    +

    37 Parameters 

    +

    38 ---------- 

    +

    39 node_coordinates : np.ndarray 

    +

    40 array of node coordinates for elements 

    +

    41 shell_node_indexes : np.ndarray 

    +

    42 node indexes of shells 

    +

    43 field : Union[np.ndarray, None] 

    +

    44 Array containing a field value for every element or node 

    +

    45 is_element_field : bool 

    +

    46 if the specified field is for elements or nodes 

    +

    47 fringe_limits : Union[Tuple[float, float], None] 

    +

    48 limits for the fringe bar. Set by default to min and max. 

    +

    49 

    +

    50 Returns 

    +

    51 ------- 

    +

    52 html : str 

    +

    53 html code for plotting as string 

    +

    54 """ 

    +

    55 

    +

    56 # pylint: disable = too-many-locals, too-many-statements 

    +

    57 

    +

    58 assert node_coordinates.ndim == 2 

    +

    59 assert node_coordinates.shape[1] == 3 

    +

    60 assert shell_node_indexes.ndim == 2 

    +

    61 assert shell_node_indexes.shape[1] in [3, 4] 

    +

    62 if isinstance(field, np.ndarray): 

    +

    63 assert field.ndim == 1 

    +

    64 if is_element_field: 

    +

    65 assert field.shape[0] == shell_node_indexes.shape[0] 

    +

    66 else: 

    +

    67 assert field.shape[0] == node_coordinates.shape[0] 

    +

    68 

    +

    69 # cast types correctly 

    +

    70 # the types MUST be float32 

    +

    71 node_coordinates = node_coordinates.astype(np.float32) 

    +

    72 if isinstance(field, np.ndarray): 

    +

    73 field = field.astype(np.float32) 

    +

    74 

    +

    75 # distinguish tria and quads 

    +

    76 is_quad = shell_node_indexes[:, 2] != shell_node_indexes[:, 3] 

    +

    77 is_tria = np.logical_not(is_quad) 

    +

    78 

    +

    79 # separate tria and quads ... I know its sad :( 

    +

    80 tria_node_indexes = shell_node_indexes[is_tria][:, :3] 

    +

    81 quad_node_indexes = shell_node_indexes[is_quad] 

    +

    82 

    +

    83 # we can only plot tria, therefore we need to split quads 

    +

    84 # into two trias 

    +

    85 quad_node_indexes_tria1 = quad_node_indexes[:, :3] 

    +

    86 # quad_node_indexes_tria2 = quad_node_indexes[:, [True, False, True, True]] 

    +

    87 quad_node_indexes_tria2 = quad_node_indexes[:, [0, 2, 3]] 

    +

    88 

    +

    89 # assemble elements for plotting 

    +

    90 # This seems to take a lot of memory, and you are right, thinking this, 

    +

    91 # the issue is just in order to plot fringe values, we need to output 

    +

    92 # the element values at the 3 corner nodes. Since elements share nodes 

    +

    93 # we can not use the same nodes, thus we need to create multiple nodes 

    +

    94 # at the same position but with different fringe. 

    +

    95 nodes_xyz = np.concatenate( 

    +

    96 [ 

    +

    97 node_coordinates[tria_node_indexes].reshape((-1, 3)), 

    +

    98 node_coordinates[quad_node_indexes_tria1].reshape((-1, 3)), 

    +

    99 node_coordinates[quad_node_indexes_tria2].reshape((-1, 3)), 

    +

    100 ] 

    +

    101 ) 

    +

    102 

    +

    103 # fringe value and hover title 

    +

    104 if isinstance(field, np.ndarray): 

    +

    105 

    +

    106 if is_element_field: 

    +

    107 n_shells = len(shell_node_indexes) 

    +

    108 n_tria = np.sum(is_tria) 

    +

    109 n_quads = n_shells - n_tria 

    +

    110 

    +

    111 # split field according to elements 

    +

    112 field_tria = field[is_tria] 

    +

    113 field_quad = field[is_quad] 

    +

    114 

    +

    115 # allocate fringe array 

    +

    116 node_fringe = np.zeros((len(field_tria) + 2 * len(field_quad), 3), dtype=np.float32) 

    +

    117 

    +

    118 # set fringe values 

    +

    119 node_fringe[:n_tria, 0] = field_tria 

    +

    120 node_fringe[:n_tria, 1] = field_tria 

    +

    121 node_fringe[:n_tria, 2] = field_tria 

    +

    122 

    +

    123 node_fringe[n_tria : n_tria + n_quads, 0] = field_quad 

    +

    124 node_fringe[n_tria : n_tria + n_quads, 1] = field_quad 

    +

    125 node_fringe[n_tria : n_tria + n_quads, 2] = field_quad 

    +

    126 

    +

    127 node_fringe[n_tria + n_quads : n_tria + 2 * n_quads, 0] = field_quad 

    +

    128 node_fringe[n_tria + n_quads : n_tria + 2 * n_quads, 1] = field_quad 

    +

    129 node_fringe[n_tria + n_quads : n_tria + 2 * n_quads, 2] = field_quad 

    +

    130 

    +

    131 # flatty paddy 

    +

    132 node_fringe = node_fringe.flatten() 

    +

    133 else: 

    +

    134 # copy & paste ftw 

    +

    135 node_fringe = np.concatenate( 

    +

    136 [ 

    +

    137 field[tria_node_indexes].reshape((-1, 3)), 

    +

    138 field[quad_node_indexes_tria1].reshape((-1, 3)), 

    +

    139 field[quad_node_indexes_tria2].reshape((-1, 3)), 

    +

    140 ] 

    +

    141 ) 

    +

    142 node_fringe = node_fringe.flatten() 

    +

    143 

    +

    144 # element text 

    +

    145 node_txt = [str(entry) for entry in node_fringe.flatten()] 

    +

    146 else: 

    +

    147 node_fringe = np.zeros(len(nodes_xyz), dtype=np.float32) 

    +

    148 node_txt = [""] * len(nodes_xyz) 

    +

    149 

    +

    150 # zip compression of data for HTML (reduces size) 

    +

    151 zip_data = io.BytesIO() 

    +

    152 with ZipFile(zip_data, "w", compression=ZIP_DEFLATED) as zipfile: 

    +

    153 zipfile.writestr("/intensities", node_fringe.tostring()) 

    +

    154 zipfile.writestr("/positions", nodes_xyz.tostring()) 

    +

    155 zipfile.writestr("/text", json.dumps(node_txt)) 

    +

    156 zip_data = b64encode(zip_data.getvalue()).decode("utf-8") 

    +

    157 

    +

    158 # read html template 

    +

    159 _html_template = _read_file( 

    +

    160 os.path.join(os.path.dirname(__file__), "resources", "template.html") 

    +

    161 ) 

    +

    162 

    +

    163 # format html template file 

    +

    164 min_value = 0 

    +

    165 max_value = 0 

    +

    166 if fringe_limits: 

    +

    167 min_value = fringe_limits[0] 

    +

    168 max_value = fringe_limits[1] 

    +

    169 elif isinstance(field, np.ndarray): 

    +

    170 min_value = field.min() 

    +

    171 max_value = field.max() 

    +

    172 

    +

    173 _html_div = _html_template.format( 

    +

    174 div_id=uuid.uuid4(), lowIntensity=min_value, highIntensity=max_value, zdata=zip_data 

    +

    175 ) 

    +

    176 

    +

    177 # wrap it up with all needed js libraries 

    +

    178 

    +

    179 script_string_js = '<script type="text/javascript">{js_name}</script>' 

    +

    180 jszip_js_format = _read_file( 

    +

    181 os.path.join(os.path.dirname(__file__), "resources", "jszip.min.js") 

    +

    182 ) 

    +

    183 jszip_three_format = _read_file( 

    +

    184 os.path.join(os.path.dirname(__file__), "resources", "three.min.js") 

    +

    185 ) 

    +

    186 jszip_chroma_format = _read_file( 

    +

    187 os.path.join(os.path.dirname(__file__), "resources", "chroma.min.js") 

    +

    188 ) 

    +

    189 jszip_jquery_format = _read_file( 

    +

    190 os.path.join(os.path.dirname(__file__), "resources", "jquery.min.js") 

    +

    191 ) 

    +

    192 _html_jszip_js = script_string_js.format(jszip_js_format) 

    +

    193 _html_three_js = script_string_js.format(jszip_three_format) 

    +

    194 _html_chroma_js = script_string_js.format(jszip_chroma_format) 

    +

    195 _html_jquery_js = script_string_js.format(jszip_jquery_format) 

    +

    196 

    +

    197 # pylint: disable = consider-using-f-string 

    +

    198 return """ 

    +

    199<!DOCTYPE html> 

    +

    200<html lang="en"> 

    +

    201 <head> 

    +

    202 <meta charset="utf-8" /> 

    +

    203 {_jquery_js} 

    +

    204 {_jszip_js} 

    +

    205 {_three_js} 

    +

    206 {_chroma_js} 

    +

    207 </head> 

    +

    208 <body> 

    +

    209 {_html_div} 

    +

    210 </body> 

    +

    211</html>""".format( 

    +

    212 _html_div=_html_div, 

    +

    213 _jszip_js=_html_jszip_js, 

    +

    214 _three_js=_html_three_js, 

    +

    215 _chroma_js=_html_chroma_js, 

    +

    216 _jquery_js=_html_jquery_js, 

    +

    217 ) 

    +
    + + + diff --git a/coverage/d_d5eca2bf8c9eb372___init___py.html b/coverage/d_d5eca2bf8c9eb372___init___py.html new file mode 100644 index 0000000..9d15dd0 --- /dev/null +++ b/coverage/d_d5eca2bf8c9eb372___init___py.html @@ -0,0 +1,100 @@ + + + + + Coverage for lasso/diffcrash/__init__.py: 0% + + + + + +
    +
    +

    + Coverage for lasso/diffcrash/__init__.py: + 0% +

    + +

    + 2 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1from .diffcrash_run import DiffcrashRun 

    +

    2 

    +

    3__all__ = ["DiffcrashRun"] 

    +
    + + + diff --git a/coverage/d_d5eca2bf8c9eb372_diffcrash_run_py.html b/coverage/d_d5eca2bf8c9eb372_diffcrash_run_py.html new file mode 100644 index 0000000..39f06f9 --- /dev/null +++ b/coverage/d_d5eca2bf8c9eb372_diffcrash_run_py.html @@ -0,0 +1,1456 @@ + + + + + Coverage for lasso/diffcrash/diffcrash_run.py: 0% + + + + + +
    +
    +

    + Coverage for lasso/diffcrash/diffcrash_run.py: + 0% +

    + +

    + 585 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import argparse 

    +

    2import glob 

    +

    3import logging 

    +

    4import os 

    +

    5import platform 

    +

    6import re 

    +

    7import shutil 

    +

    8import subprocess 

    +

    9import sys 

    +

    10import time 

    +

    11import typing 

    +

    12from concurrent import futures 

    +

    13from typing import List, Union 

    +

    14 

    +

    15import psutil 

    +

    16 

    +

    17from ..logging import str_error, str_info, str_running, str_success, str_warn 

    +

    18 

    +

    19# pylint: disable = too-many-lines 

    +

    20 

    +

    21DC_STAGE_SETUP = "SETUP" 

    +

    22DC_STAGE_IMPORT = "IMPORT" 

    +

    23DC_STAGE_MATH = "MATH" 

    +

    24DC_STAGE_EXPORT = "EXPORT" 

    +

    25DC_STAGE_MATRIX = "MATRIX" 

    +

    26DC_STAGE_EIGEN = "EIGEN" 

    +

    27DC_STAGE_MERGE = "MERGE" 

    +

    28DC_STAGES = [ 

    +

    29 DC_STAGE_SETUP, 

    +

    30 DC_STAGE_IMPORT, 

    +

    31 DC_STAGE_MATH, 

    +

    32 DC_STAGE_EXPORT, 

    +

    33 DC_STAGE_MATRIX, 

    +

    34 DC_STAGE_EIGEN, 

    +

    35 DC_STAGE_MERGE, 

    +

    36] 

    +

    37 

    +

    38 

    +

    39def get_application_header(): 

    +

    40 """Prints the header of the command line tool""" 

    +

    41 

    +

    42 return """ 

    +

    43 

    +

    44 ==== D I F F C R A S H ==== 

    +

    45 

    +

    46 an open-lasso-python utility script 

    +

    47 """ 

    +

    48 

    +

    49 

    +

    50def str2bool(value) -> bool: 

    +

    51 """Converts some value from the cmd line to a boolean 

    +

    52 

    +

    53 Parameters 

    +

    54 ---------- 

    +

    55 value: `str` or `bool` 

    +

    56 

    +

    57 Returns 

    +

    58 ------- 

    +

    59 bool_value: `bool` 

    +

    60 value as boolean 

    +

    61 """ 

    +

    62 

    +

    63 if isinstance(value, bool): 

    +

    64 return value 

    +

    65 if value.lower() in ("yes", "true", "t", "y", "1"): 

    +

    66 return True 

    +

    67 if value.lower() in ("no", "false", "f", "n", "0"): 

    +

    68 return False 

    +

    69 raise argparse.ArgumentTypeError("Boolean value expected.") 

    +

    70 

    +

    71 

    +

    72def parse_diffcrash_args(): 

    +

    73 """Parse the arguments from the command line 

    +

    74 

    +

    75 Returns 

    +

    76 ------- 

    +

    77 args : `argparse.Namespace` 

    +

    78 parsed arguments 

    +

    79 """ 

    +

    80 

    +

    81 # print title 

    +

    82 print(get_application_header()) 

    +

    83 

    +

    84 parser = argparse.ArgumentParser( 

    +

    85 description="Python utility script for Diffcrash written by LASSO GmbH." 

    +

    86 ) 

    +

    87 

    +

    88 parser.add_argument( 

    +

    89 "--reference-run", type=str, required=True, help="filepath of the reference run." 

    +

    90 ) 

    +

    91 parser.add_argument( 

    +

    92 "--exclude-runs", type=str, nargs="*", default=[], help="Runs to exclude from the analysis." 

    +

    93 ) 

    +

    94 parser.add_argument( 

    +

    95 "--crash-code", 

    +

    96 type=str, 

    +

    97 required=True, 

    +

    98 help="Which crash code is used ('dyna', 'pam' or 'radioss').", 

    +

    99 ) 

    +

    100 parser.add_argument( 

    +

    101 "--start-stage", 

    +

    102 type=str, 

    +

    103 nargs="?", 

    +

    104 default=DC_STAGES[0], 

    +

    105 help=f"At which specific stage to start the analysis ({', '.join(DC_STAGES)}).", 

    +

    106 ) 

    +

    107 parser.add_argument( 

    +

    108 "--end-stage", 

    +

    109 type=str, 

    +

    110 nargs="?", 

    +

    111 default=DC_STAGES[-1], 

    +

    112 help=f"At which specific stage to stop the analysis ({', '.join(DC_STAGES)}).", 

    +

    113 ) 

    +

    114 parser.add_argument( 

    +

    115 "--diffcrash-home", 

    +

    116 type=str, 

    +

    117 default=os.environ["DIFFCRASHHOME"] if "DIFFCRASHHOME" in os.environ else "", 

    +

    118 nargs="?", 

    +

    119 required=False, 

    +

    120 help=( 

    +

    121 "Home directory where Diffcrash is installed." 

    +

    122 " Uses environment variable 'DIFFCRASHHOME' if unspecified." 

    +

    123 ), 

    +

    124 ) 

    +

    125 parser.add_argument( 

    +

    126 "--use-id-mapping", 

    +

    127 type=str2bool, 

    +

    128 nargs="?", 

    +

    129 const=True, 

    +

    130 default=False, 

    +

    131 help="Whether to use id-based mapping (default is nearest neighbour).", 

    +

    132 ) 

    +

    133 parser.add_argument( 

    +

    134 "--project-dir", 

    +

    135 type=str, 

    +

    136 nargs="?", 

    +

    137 default="project", 

    +

    138 help="Project dir to use for femzip.", 

    +

    139 ) 

    +

    140 parser.add_argument( 

    +

    141 "--config-file", type=str, nargs="?", default="", help="Path to the config file." 

    +

    142 ) 

    +

    143 parser.add_argument( 

    +

    144 "--parameter-file", type=str, nargs="?", default="", help="Path to the parameter file." 

    +

    145 ) 

    +

    146 parser.add_argument( 

    +

    147 "--n-processes", 

    +

    148 type=int, 

    +

    149 nargs="?", 

    +

    150 default=max(1, psutil.cpu_count() - 1), 

    +

    151 help="Number of processes to use (default: max-1).", 

    +

    152 ) 

    +

    153 parser.add_argument( 

    +

    154 "simulation_runs", 

    +

    155 type=str, 

    +

    156 nargs="*", 

    +

    157 help="Simulation runs or patterns used to search for simulation runs.", 

    +

    158 ) 

    +

    159 

    +

    160 if len(sys.argv) < 2: 

    +

    161 parser.print_help() 

    +

    162 sys.exit(0) 

    +

    163 

    +

    164 return parser.parse_args(sys.argv[1:]) 

    +

    165 

    +

    166 

    +

    167def run_subprocess(args): 

    +

    168 """Run a subprocess with the specified arguments 

    +

    169 

    +

    170 Parameters: 

    +

    171 ----------- 

    +

    172 args : `list` of `str` 

    +

    173 

    +

    174 Returns 

    +

    175 ------- 

    +

    176 rc : `int` 

    +

    177 process return code 

    +

    178 

    +

    179 Notes 

    +

    180 ----- 

    +

    181 Suppresses stderr. 

    +

    182 """ 

    +

    183 return subprocess.Popen(args, stderr=subprocess.DEVNULL).wait() 

    +

    184 

    +

    185 

    +

    186class DiffcrashRun: 

    +

    187 """Class for handling the settings of a diffcrash run""" 

    +

    188 

    +

    189 # pylint: disable = too-many-instance-attributes 

    +

    190 

    +

    191 # pylint: disable = too-many-arguments 

    +

    192 def __init__( 

    +

    193 self, 

    +

    194 project_dir: str, 

    +

    195 crash_code: str, 

    +

    196 reference_run: str, 

    +

    197 simulation_runs: typing.Sequence[str], 

    +

    198 exclude_runs: typing.Sequence[str], 

    +

    199 diffcrash_home: str = "", 

    +

    200 use_id_mapping: bool = False, 

    +

    201 config_file: str = None, 

    +

    202 parameter_file: str = None, 

    +

    203 n_processes: int = 1, 

    +

    204 logfile_dir: str = None, 

    +

    205 ): 

    +

    206 """Object handling a diffcrash run 

    +

    207 

    +

    208 Parameters 

    +

    209 ---------- 

    +

    210 project_dir : `str` 

    +

    211 directory to put all buffer files etc., in 

    +

    212 crash_code : `str` 

    +

    213 crash code to use. 

    +

    214 reference_run : `str` 

    +

    215 filepath to the reference run 

    +

    216 simulation_runs: `list` of `str` 

    +

    217 patterns used to search for simulation runs 

    +

    218 diffcrash_home : `str` 

    +

    219 home directory of diffcrash installation. Uses environment 

    +

    220 variable DIFFCRASHHOME if not set. 

    +

    221 use_id_mapping : `bool` 

    +

    222 whether to use id mapping instead of nearest neighbor mapping 

    +

    223 config_file : `str` 

    +

    224 filepath to a config file 

    +

    225 parameter_file : `str` 

    +

    226 filepath to the parameter file 

    +

    227 n_processes : `int` 

    +

    228 number of processes to spawn for worker pool 

    +

    229 logfile_dir : `str` 

    +

    230 directory to put logfiles in 

    +

    231 """ 

    +

    232 

    +

    233 # settings 

    +

    234 self._msg_option = "{:16s}: {}" 

    +

    235 self._log_formatter = logging.Formatter("%(levelname)s:%(asctime)s %(message)s") 

    +

    236 

    +

    237 # logdir 

    +

    238 if logfile_dir is not None: 

    +

    239 self.logfile_dir = logfile_dir 

    +

    240 else: 

    +

    241 self.logfile_dir = os.path.join(project_dir, "Log") 

    +

    242 self.logfile_filepath = os.path.join(self.logfile_dir, "DiffcrashRun.log") 

    +

    243 

    +

    244 # logger 

    +

    245 self.logger = self._setup_logger() 

    +

    246 

    +

    247 # make some space in the log 

    +

    248 self.logger.info(get_application_header()) 

    +

    249 

    +

    250 # diffcrash home 

    +

    251 self.diffcrash_home = self._parse_diffcrash_home(diffcrash_home) 

    +

    252 self.diffcrash_home = os.path.join(self.diffcrash_home, "bin") 

    +

    253 self.diffcrash_lib = os.path.join(os.path.dirname(self.diffcrash_home), "lib") 

    +

    254 

    +

    255 if platform.system() == "Linux": 

    +

    256 os.environ["PATH"] = ( 

    +

    257 os.environ["PATH"] + ":" + self.diffcrash_home + ":" + self.diffcrash_lib 

    +

    258 ) 

    +

    259 if platform.system() == "Windows": 

    +

    260 os.environ["PATH"] = ( 

    +

    261 os.environ["PATH"] + ";" + self.diffcrash_home + ";" + self.diffcrash_lib 

    +

    262 ) 

    +

    263 

    +

    264 # project dir 

    +

    265 self.project_dir = self._parse_project_dir(project_dir) 

    +

    266 

    +

    267 # crashcode 

    +

    268 self.crash_code = self._parse_crash_code(crash_code) 

    +

    269 

    +

    270 # reference run 

    +

    271 self.reference_run = self._parse_reference_run(reference_run) 

    +

    272 

    +

    273 # mapping 

    +

    274 self.use_id_mapping = self._parse_use_id_mapping(use_id_mapping) 

    +

    275 

    +

    276 # exlude runs 

    +

    277 self.exclude_runs = exclude_runs 

    +

    278 

    +

    279 # simulation runs 

    +

    280 self.simulation_runs = self._parse_simulation_runs( 

    +

    281 simulation_runs, self.reference_run, self.exclude_runs 

    +

    282 ) 

    +

    283 

    +

    284 # config file 

    +

    285 self.config_file = self._parse_config_file(config_file) 

    +

    286 

    +

    287 # parameter file 

    +

    288 self.parameter_file = self._parse_parameter_file(parameter_file) 

    +

    289 

    +

    290 # n processes 

    +

    291 self.n_processes = self._parse_n_processes(n_processes) 

    +

    292 

    +

    293 def _setup_logger(self) -> logging.Logger: 

    +

    294 

    +

    295 # better safe than sorry 

    +

    296 os.makedirs(self.logfile_dir, exist_ok=True) 

    +

    297 

    +

    298 # create console log channel 

    +

    299 # streamHandler = logging.StreamHandler(sys.stdout) 

    +

    300 # streamHandler.setLevel(logging.INFO) 

    +

    301 # streamHandler.setFormatter(self._log_formatter) 

    +

    302 

    +

    303 # create file log channel 

    +

    304 file_handler = logging.FileHandler(self.logfile_filepath) 

    +

    305 file_handler.setLevel(logging.INFO) 

    +

    306 file_handler.setFormatter(self._log_formatter) 

    +

    307 

    +

    308 # create logger 

    +

    309 logger = logging.getLogger("DiffcrashRun") 

    +

    310 logger.setLevel(logging.INFO) 

    +

    311 # logger.addHandler(streamHandler) 

    +

    312 logger.addHandler(file_handler) 

    +

    313 

    +

    314 return logger 

    +

    315 

    +

    316 def _parse_diffcrash_home(self, diffcrash_home) -> str: 

    +

    317 

    +

    318 diffcrash_home_ok = len(diffcrash_home) != 0 

    +

    319 

    +

    320 msg = self._msg_option.format("diffcrash-home", diffcrash_home) 

    +

    321 print(str_info(msg)) 

    +

    322 self.logger.info(msg) 

    +

    323 

    +

    324 if not diffcrash_home_ok: 

    +

    325 err_msg = ( 

    +

    326 "Specify the path to the Diffcrash installation either " 

    +

    327 + "with the environment variable 'DIFFCRASHHOME' or the option --diffcrash-home." 

    +

    328 ) 

    +

    329 self.logger.error(err_msg) 

    +

    330 raise RuntimeError(str_error(err_msg)) 

    +

    331 

    +

    332 return diffcrash_home 

    +

    333 

    +

    334 def _parse_crash_code(self, crash_code) -> str: 

    +

    335 

    +

    336 # these guys are allowed 

    +

    337 valid_crash_codes = ["dyna", "radioss", "pam"] 

    +

    338 

    +

    339 # do the thing 

    +

    340 crash_code_ok = crash_code in valid_crash_codes 

    +

    341 

    +

    342 print(str_info(self._msg_option.format("crash-code", crash_code))) 

    +

    343 self.logger.info(self._msg_option.format("crash-code", crash_code)) 

    +

    344 

    +

    345 if not crash_code_ok: 

    +

    346 err_msg = ( 

    +

    347 f"Invalid crash code '{crash_code}'. " 

    +

    348 f"Please use one of: {str(valid_crash_codes)}" 

    +

    349 ) 

    +

    350 self.logger.error(err_msg) 

    +

    351 raise RuntimeError(str_error(err_msg)) 

    +

    352 

    +

    353 return crash_code 

    +

    354 

    +

    355 def _parse_reference_run(self, reference_run) -> str: 

    +

    356 

    +

    357 reference_run_ok = os.path.isfile(reference_run) 

    +

    358 

    +

    359 msg = self._msg_option.format("reference-run", reference_run) 

    +

    360 print(str_info(msg)) 

    +

    361 self.logger.info(msg) 

    +

    362 

    +

    363 if not reference_run_ok: 

    +

    364 err_msg = f"Filepath '{reference_run}' is not a file." 

    +

    365 self.logger.error(err_msg) 

    +

    366 raise RuntimeError(str_error(err_msg)) 

    +

    367 

    +

    368 return reference_run 

    +

    369 

    +

    370 def _parse_use_id_mapping(self, use_id_mapping) -> bool: 

    +

    371 

    +

    372 msg = self._msg_option.format("use-id-mapping", use_id_mapping) 

    +

    373 print(str_info(msg)) 

    +

    374 self.logger.info(msg) 

    +

    375 

    +

    376 return use_id_mapping 

    +

    377 

    +

    378 def _parse_project_dir(self, project_dir): 

    +

    379 project_dir = os.path.abspath(project_dir) 

    +

    380 

    +

    381 msg = self._msg_option.format("project-dir", project_dir) 

    +

    382 print(str_info(msg)) 

    +

    383 self.logger.info(msg) 

    +

    384 

    +

    385 return project_dir 

    +

    386 

    +

    387 def _parse_simulation_runs( 

    +

    388 self, 

    +

    389 simulation_run_patterns: typing.Sequence[str], 

    +

    390 reference_run: str, 

    +

    391 exclude_runs: typing.Sequence[str], 

    +

    392 ): 

    +

    393 

    +

    394 # search all denoted runs 

    +

    395 simulation_runs = [] 

    +

    396 for pattern in simulation_run_patterns: 

    +

    397 simulation_runs += glob.glob(pattern) 

    +

    398 simulation_runs = [filepath for filepath in simulation_runs if os.path.isfile(filepath)] 

    +

    399 

    +

    400 # search all excluded runs 

    +

    401 runs_to_exclude = [] 

    +

    402 for pattern in exclude_runs: 

    +

    403 runs_to_exclude += glob.glob(pattern) 

    +

    404 runs_to_exclude = [filepath for filepath in runs_to_exclude if os.path.isfile(filepath)] 

    +

    405 

    +

    406 n_runs_before_filtering = len(simulation_runs) 

    +

    407 simulation_runs = [ 

    +

    408 filepath for filepath in simulation_runs if filepath not in runs_to_exclude 

    +

    409 ] 

    +

    410 n_runs_after_filtering = len(simulation_runs) 

    +

    411 

    +

    412 # remove the reference run 

    +

    413 if reference_run in simulation_runs: 

    +

    414 simulation_runs.remove(reference_run) 

    +

    415 

    +

    416 # sort it because we can! 

    +

    417 def atoi(text): 

    +

    418 return int(text) if text.isdigit() else text 

    +

    419 

    +

    420 def natural_keys(text): 

    +

    421 return [atoi(c) for c in re.split(r"(\d+)", text)] 

    +

    422 

    +

    423 simulation_runs = sorted(simulation_runs, key=natural_keys) 

    +

    424 

    +

    425 # check 

    +

    426 simulation_runs_ok = len(simulation_runs) != 0 

    +

    427 

    +

    428 msg = self._msg_option.format("# simul.-files", len(simulation_runs)) 

    +

    429 print(str_info(msg)) 

    +

    430 self.logger.info(msg) 

    +

    431 

    +

    432 msg = self._msg_option.format( 

    +

    433 "# excluded files", (n_runs_before_filtering - n_runs_after_filtering) 

    +

    434 ) 

    +

    435 print(str_info(msg)) 

    +

    436 self.logger.info(msg) 

    +

    437 

    +

    438 if not simulation_runs_ok: 

    +

    439 err_msg = ( 

    +

    440 "No simulation files could be found with the specified patterns. " 

    +

    441 "Check the argument 'simulation_runs'." 

    +

    442 ) 

    +

    443 self.logger.error(err_msg) 

    +

    444 raise RuntimeError(str_error(err_msg)) 

    +

    445 

    +

    446 return simulation_runs 

    +

    447 

    +

    448 def _parse_config_file(self, config_file) -> Union[str, None]: 

    +

    449 

    +

    450 _msg_config_file = "" 

    +

    451 if len(config_file) > 0 and not os.path.isfile(config_file): 

    +

    452 config_file = None 

    +

    453 _msg_config_file = f"Can not find config file '{config_file}'" 

    +

    454 

    +

    455 # missing config file 

    +

    456 else: 

    +

    457 

    +

    458 config_file = None 

    +

    459 _msg_config_file = ( 

    +

    460 "Config file missing. " 

    +

    461 "Consider specifying the path with the option '--config-file'." 

    +

    462 ) 

    +

    463 

    +

    464 msg = self._msg_option.format("config-file", config_file) 

    +

    465 print(str_info(msg)) 

    +

    466 self.logger.info(msg) 

    +

    467 

    +

    468 if _msg_config_file: 

    +

    469 print(str_warn(_msg_config_file)) 

    +

    470 self.logger.warning(_msg_config_file) 

    +

    471 

    +

    472 return config_file 

    +

    473 

    +

    474 def _parse_parameter_file(self, parameter_file) -> Union[None, str]: 

    +

    475 

    +

    476 _msg_parameter_file = "" 

    +

    477 if len(parameter_file) > 0 and not os.path.isfile(parameter_file): 

    +

    478 parameter_file = None 

    +

    479 _msg_parameter_file = f"Can not find parameter file '{parameter_file}'" 

    +

    480 # missing parameter file 

    +

    481 else: 

    +

    482 parameter_file = None 

    +

    483 _msg_parameter_file = ( 

    +

    484 "Parameter file missing. Consider specifying the " 

    +

    485 "path with the option '--parameter-file'." 

    +

    486 ) 

    +

    487 

    +

    488 msg = self._msg_option.format("parameter-file", parameter_file) 

    +

    489 print(str_info(msg)) 

    +

    490 self.logger.info(msg) 

    +

    491 

    +

    492 if _msg_parameter_file: 

    +

    493 print(str_warn(_msg_parameter_file)) 

    +

    494 self.logger.warning(_msg_parameter_file) 

    +

    495 

    +

    496 return parameter_file 

    +

    497 

    +

    498 def _parse_n_processes(self, n_processes) -> int: 

    +

    499 

    +

    500 print(str_info(self._msg_option.format("n-processes", n_processes))) 

    +

    501 

    +

    502 if n_processes <= 0: 

    +

    503 err_msg = f"n-processes is '{n_processes}' but must be at least 1." 

    +

    504 self.logger.error(err_msg) 

    +

    505 raise ValueError(str_error(err_msg)) 

    +

    506 

    +

    507 return n_processes 

    +

    508 

    +

    509 def create_project_dirs(self): 

    +

    510 """Creates all project relevant directores 

    +

    511 

    +

    512 Notes 

    +

    513 ----- 

    +

    514 Created dirs: 

    +

    515 - logfile_dir 

    +

    516 - project_dir 

    +

    517 """ 

    +

    518 os.makedirs(self.project_dir, exist_ok=True) 

    +

    519 os.makedirs(self.logfile_dir, exist_ok=True) 

    +

    520 

    +

    521 def run_setup(self, pool: futures.ThreadPoolExecutor): 

    +

    522 """Run diffcrash setup 

    +

    523 

    +

    524 Parameters 

    +

    525 ---------- 

    +

    526 pool : `concurrent.futures.ThreadPoolExecutor` 

    +

    527 multiprocessing pool 

    +

    528 """ 

    +

    529 

    +

    530 # SETUP 

    +

    531 msg = "Running Setup ... " 

    +

    532 print(str_running(msg) + "\r", end="", flush="") 

    +

    533 self.logger.info(msg) 

    +

    534 

    +

    535 args = [] 

    +

    536 if self.config_file is None and self.parameter_file is None: 

    +

    537 args = [ 

    +

    538 os.path.join(self.diffcrash_home, "DFC_Setup_" + self.crash_code + "_fem"), 

    +

    539 self.reference_run, 

    +

    540 self.project_dir, 

    +

    541 ] 

    +

    542 elif self.config_file is not None and self.parameter_file is None: 

    +

    543 args = [ 

    +

    544 os.path.join(self.diffcrash_home, "DFC_Setup_" + self.crash_code + "_fem"), 

    +

    545 self.reference_run, 

    +

    546 self.project_dir, 

    +

    547 "-C", 

    +

    548 self.config_file, 

    +

    549 ] 

    +

    550 elif self.config_file is None and self.parameter_file is not None: 

    +

    551 if ".fz" in self.reference_run: 

    +

    552 args = [ 

    +

    553 os.path.join(self.diffcrash_home, "DFC_Setup_" + self.crash_code + "_fem"), 

    +

    554 self.reference_run, 

    +

    555 self.project_dir, 

    +

    556 "-P", 

    +

    557 self.parameter_file, 

    +

    558 ] 

    +

    559 else: 

    +

    560 args = [ 

    +

    561 os.path.join(self.diffcrash_home, "DFC_Setup_" + self.crash_code), 

    +

    562 self.reference_run, 

    +

    563 self.project_dir, 

    +

    564 "-P", 

    +

    565 self.parameter_file, 

    +

    566 ] 

    +

    567 elif self.config_file is not None and self.parameter_file is not None: 

    +

    568 if ".fz" in self.reference_run: 

    +

    569 args = [ 

    +

    570 os.path.join(self.diffcrash_home, "DFC_Setup_" + self.crash_code + "_fem"), 

    +

    571 self.reference_run, 

    +

    572 self.project_dir, 

    +

    573 "-C", 

    +

    574 self.config_file, 

    +

    575 "-P", 

    +

    576 self.parameter_file, 

    +

    577 ] 

    +

    578 else: 

    +

    579 args = [ 

    +

    580 os.path.join(self.diffcrash_home, "DFC_Setup_" + self.crash_code), 

    +

    581 self.reference_run, 

    +

    582 self.project_dir, 

    +

    583 "-C", 

    +

    584 self.config_file, 

    +

    585 "-P", 

    +

    586 self.parameter_file, 

    +

    587 ] 

    +

    588 start_time = time.time() 

    +

    589 

    +

    590 # submit task 

    +

    591 return_code_future = pool.submit(run_subprocess, args) 

    +

    592 return_code = return_code_future.result() 

    +

    593 

    +

    594 # check return code 

    +

    595 if return_code != 0: 

    +

    596 err_msg = f"Running Setup ... done in {time.time() - start_time:.2f}s" 

    +

    597 print(str_error(err_msg)) 

    +

    598 self.logger.error(err_msg) 

    +

    599 

    +

    600 err_msg = "Process somehow failed." 

    +

    601 self.logger.error(err_msg) 

    +

    602 raise RuntimeError(str_error(err_msg)) 

    +

    603 

    +

    604 # check log 

    +

    605 messages = self.check_if_logfiles_show_success("DFC_Setup.log") 

    +

    606 if messages: 

    +

    607 err_msg = f"Running Setup ... done in {time.time() - start_time:.2f}s" 

    +

    608 print(str_error(err_msg)) 

    +

    609 self.logger.error(err_msg) 

    +

    610 

    +

    611 # print failed logs 

    +

    612 for msg in messages: 

    +

    613 print(str_error(msg)) 

    +

    614 self.logger.error(msg) 

    +

    615 

    +

    616 err_msg = "Setup failed." 

    +

    617 self.logger.error(err_msg) 

    +

    618 raise RuntimeError(str_error(err_msg)) 

    +

    619 

    +

    620 # print success 

    +

    621 err_msg = f"Running Setup ... done in {time.time() - start_time:.2f}s" 

    +

    622 print(str_success(msg)) 

    +

    623 self.logger.info(msg) 

    +

    624 

    +

    625 def run_import(self, pool: futures.ThreadPoolExecutor): 

    +

    626 """Run diffcrash import of runs 

    +

    627 

    +

    628 Parameters 

    +

    629 ---------- 

    +

    630 pool : `concurrent.futures.ThreadPoolExecutor` 

    +

    631 multiprocessing pool 

    +

    632 """ 

    +

    633 

    +

    634 # pylint: disable = too-many-locals, too-many-branches, too-many-statements 

    +

    635 

    +

    636 # list of arguments to run in the command line 

    +

    637 import_arguments = [] 

    +

    638 

    +

    639 # id 1 is the reference run 

    +

    640 # id 2 and higher are the imported runs 

    +

    641 counter_offset = 2 

    +

    642 

    +

    643 # assemble arguments for running the import 

    +

    644 # entry 0 is the reference run, thus we start at 1 

    +

    645 # pylint: disable = consider-using-enumerate 

    +

    646 for i_filepath in range(len(self.simulation_runs)): 

    +

    647 

    +

    648 # parameter file missing 

    +

    649 if self.parameter_file is None: 

    +

    650 if self.use_id_mapping: 

    +

    651 args = [ 

    +

    652 os.path.join(self.diffcrash_home, "DFC_Import_" + self.crash_code + "_fem"), 

    +

    653 "-id", 

    +

    654 self.simulation_runs[i_filepath], 

    +

    655 self.project_dir, 

    +

    656 str(i_filepath + counter_offset), 

    +

    657 ] 

    +

    658 else: 

    +

    659 args = [ 

    +

    660 os.path.join(self.diffcrash_home, "DFC_Import_" + self.crash_code + "_fem"), 

    +

    661 self.simulation_runs[i_filepath], 

    +

    662 self.project_dir, 

    +

    663 str(i_filepath + counter_offset), 

    +

    664 ] 

    +

    665 # indeed there is a parameter file 

    +

    666 else: 

    +

    667 if self.use_id_mapping: 

    +

    668 args = [ 

    +

    669 os.path.join(self.diffcrash_home, "DFC_Import_" + self.crash_code), 

    +

    670 "-ID", 

    +

    671 self.simulation_runs[i_filepath], 

    +

    672 self.project_dir, 

    +

    673 str(i_filepath + counter_offset), 

    +

    674 ] 

    +

    675 else: 

    +

    676 args = [ 

    +

    677 os.path.join(self.diffcrash_home, "DFC_Import_" + self.crash_code), 

    +

    678 self.simulation_runs[i_filepath], 

    +

    679 self.project_dir, 

    +

    680 str(i_filepath + counter_offset), 

    +

    681 ] 

    +

    682 

    +

    683 # append args to list 

    +

    684 import_arguments.append(args) 

    +

    685 

    +

    686 # do the thing 

    +

    687 msg = "Running Imports ...\r" 

    +

    688 print(str_running(msg), end="", flush=True) 

    +

    689 self.logger.info(msg) 

    +

    690 start_time = time.time() 

    +

    691 return_code_futures = [pool.submit(run_subprocess, args) for args in import_arguments] 

    +

    692 

    +

    693 # wait for imports to finish (with a progressbar) 

    +

    694 n_imports_finished = sum( 

    +

    695 return_code_future.done() for return_code_future in return_code_futures 

    +

    696 ) 

    +

    697 while n_imports_finished != len(return_code_futures): 

    +

    698 

    +

    699 # check again 

    +

    700 n_new_imports_finished = sum( 

    +

    701 return_code_future.done() for return_code_future in return_code_futures 

    +

    702 ) 

    +

    703 

    +

    704 # print 

    +

    705 percentage = n_new_imports_finished / len(return_code_futures) * 100 

    +

    706 

    +

    707 if n_imports_finished != n_new_imports_finished: 

    +

    708 # pylint: disable = consider-using-f-string 

    +

    709 msg = "Running Imports ... [{0}/{1}] - {2:3.2f}%\r".format( 

    +

    710 n_new_imports_finished, len(return_code_futures), percentage 

    +

    711 ) 

    +

    712 print(str_running(msg), end="", flush=True) 

    +

    713 self.logger.info(msg) 

    +

    714 

    +

    715 n_imports_finished = n_new_imports_finished 

    +

    716 

    +

    717 # wait a little bit 

    +

    718 time.sleep(0.25) 

    +

    719 

    +

    720 return_codes = [return_code_future.result() for return_code_future in return_code_futures] 

    +

    721 

    +

    722 # print failure 

    +

    723 if any(return_code != 0 for return_code in return_codes): 

    +

    724 

    +

    725 n_failed_runs = 0 

    +

    726 for i_run, return_code in enumerate(return_codes): 

    +

    727 if return_code != 0: 

    +

    728 _err_msg = str_error( 

    +

    729 f"Run {i_run} failed to import with error code '{return_code}'." 

    +

    730 ) 

    +

    731 print(str_error(_err_msg)) 

    +

    732 self.logger.error(_err_msg) 

    +

    733 n_failed_runs += 1 

    +

    734 

    +

    735 err_msg = f"Running Imports ... done in {time.time() - start_time:.2f}s " 

    +

    736 print(str_error(err_msg)) 

    +

    737 self.logger.error(err_msg) 

    +

    738 

    +

    739 err_msg = f"Import of {n_failed_runs} runs failed." 

    +

    740 self.logger.error(err_msg) 

    +

    741 raise RuntimeError(str_error(err_msg)) 

    +

    742 

    +

    743 # check log files 

    +

    744 messages = self.check_if_logfiles_show_success("DFC_Import_*.log") 

    +

    745 if messages: 

    +

    746 

    +

    747 # print failure 

    +

    748 msg = f"Running Imports ... done in {time.time() - start_time:.2f}s " 

    +

    749 print(str_error(msg)) 

    +

    750 self.logger.info(msg) 

    +

    751 

    +

    752 # print failed logs 

    +

    753 for msg in messages: 

    +

    754 self.logger.error(msg) 

    +

    755 print(str_error(msg)) 

    +

    756 

    +

    757 err_msg = ( 

    +

    758 f"At least one import failed. Please check the log files in '{self.logfile_dir}'." 

    +

    759 ) 

    +

    760 self.logger.error(err_msg) 

    +

    761 raise RuntimeError(str_error(err_msg)) 

    +

    762 

    +

    763 # print success 

    +

    764 print(str_success(f"Running Imports ... done in {time.time() - start_time:.2f}s ")) 

    +

    765 

    +

    766 def run_math(self, pool: futures.ThreadPoolExecutor): 

    +

    767 """Run diffcrash math 

    +

    768 

    +

    769 Parameters 

    +

    770 ---------- 

    +

    771 pool : `concurrent.futures.ThreadPoolExecutor` 

    +

    772 multiprocessing pool 

    +

    773 """ 

    +

    774 

    +

    775 msg = "Running Math ... \r" 

    +

    776 print(str_running(msg), end="", flush=True) 

    +

    777 self.logger.info(msg) 

    +

    778 

    +

    779 start_time = time.time() 

    +

    780 return_code_future = pool.submit( 

    +

    781 run_subprocess, 

    +

    782 [os.path.join(self.diffcrash_home, "DFC_Math_" + self.crash_code), self.project_dir], 

    +

    783 ) 

    +

    784 return_code = return_code_future.result() 

    +

    785 

    +

    786 # check return code 

    +

    787 if return_code != 0: 

    +

    788 

    +

    789 msg = f"Running Math ... done in {time.time() - start_time:.2f}s " 

    +

    790 print(str_error(msg)) 

    +

    791 self.logger.error(msg) 

    +

    792 

    +

    793 err_msg = f"Caught a nonzero return code '{return_code}'" 

    +

    794 self.logger.error(err_msg) 

    +

    795 raise RuntimeError(str_error(err_msg)) 

    +

    796 

    +

    797 # check logs 

    +

    798 messages = self.check_if_logfiles_show_success("DFC_MATH*.log") 

    +

    799 if messages: 

    +

    800 

    +

    801 # print failure 

    +

    802 msg = f"Running Math ... done in {time.time() - start_time:.2f}s " 

    +

    803 print(str_error(msg)) 

    +

    804 self.logger.error(msg) 

    +

    805 

    +

    806 # print failed logs 

    +

    807 for msg in messages: 

    +

    808 print(str_error(msg)) 

    +

    809 self.logger.error(msg) 

    +

    810 

    +

    811 err_msg = ( 

    +

    812 "Logfile does indicate a failure. " 

    +

    813 f"Please check the log files in '{self.logfile_dir}'." 

    +

    814 ) 

    +

    815 self.logger.error(err_msg) 

    +

    816 raise RuntimeError(str_error(err_msg)) 

    +

    817 

    +

    818 # print success 

    +

    819 msg = f"Running Math ... done in {time.time() - start_time:.2f}s " 

    +

    820 print(str_success(msg)) 

    +

    821 self.logger.info(msg) 

    +

    822 

    +

    823 def run_export(self, pool: futures.ThreadPoolExecutor): 

    +

    824 """Run diffcrash export 

    +

    825 

    +

    826 Parameters 

    +

    827 ---------- 

    +

    828 pool : `concurrent.futures.ThreadPoolExecutor` 

    +

    829 multiprocessing pool 

    +

    830 """ 

    +

    831 

    +

    832 msg = "Running Export ... " 

    +

    833 print(str_running(msg) + "\r", end="", flush=True) 

    +

    834 self.logger.info(msg) 

    +

    835 

    +

    836 if self.config_file is None: 

    +

    837 export_item_list = [] 

    +

    838 

    +

    839 # check for pdmx 

    +

    840 pdmx_filepath_list = glob.glob(os.path.join(self.project_dir, "*_pdmx")) 

    +

    841 if pdmx_filepath_list: 

    +

    842 export_item_list.append(os.path.basename(pdmx_filepath_list[0])) 

    +

    843 

    +

    844 # check for pdij 

    +

    845 pdij_filepath_list = glob.glob(os.path.join(self.project_dir, "*_pdij")) 

    +

    846 if pdij_filepath_list: 

    +

    847 export_item_list.append(os.path.basename(pdij_filepath_list[0])) 

    +

    848 

    +

    849 else: 

    +

    850 export_item_list = self.read_config_file(self.config_file) 

    +

    851 

    +

    852 # remove previous existing exports 

    +

    853 for export_item in export_item_list: 

    +

    854 export_item_filepath = os.path.join(self.project_dir, export_item + ".d3plot.fz") 

    +

    855 if os.path.isfile(export_item_filepath): 

    +

    856 os.remove(export_item_filepath) 

    +

    857 

    +

    858 # do the thing 

    +

    859 start_time = time.time() 

    +

    860 return_code_futures = [ 

    +

    861 pool.submit( 

    +

    862 run_subprocess, 

    +

    863 [ 

    +

    864 os.path.join(self.diffcrash_home, "DFC_Export_" + self.crash_code), 

    +

    865 self.project_dir, 

    +

    866 export_item, 

    +

    867 ], 

    +

    868 ) 

    +

    869 for export_item in export_item_list 

    +

    870 ] 

    +

    871 

    +

    872 return_codes = [result_future.result() for result_future in return_code_futures] 

    +

    873 

    +

    874 # check return code 

    +

    875 if any(rc != 0 for rc in return_codes): 

    +

    876 msg = f"Running Export ... done in {time.time() - start_time:.2f}s " 

    +

    877 print(str_error(msg)) 

    +

    878 self.logger.error(msg) 

    +

    879 

    +

    880 for i_export, export_return_code in enumerate(return_codes): 

    +

    881 if export_return_code != 0: 

    +

    882 msg = ( 

    +

    883 f"Return code of export '{export_item_list[i_export]}' " 

    +

    884 f"was nonzero: '{export_return_code}'" 

    +

    885 ) 

    +

    886 self.logger.error(msg) 

    +

    887 print(str_error(msg)) 

    +

    888 

    +

    889 msg = "At least one export process failed." 

    +

    890 self.logger.error(msg) 

    +

    891 raise RuntimeError(str_error(msg)) 

    +

    892 

    +

    893 # check logs 

    +

    894 messages = self.check_if_logfiles_show_success("DFC_Export_*") 

    +

    895 if messages: 

    +

    896 

    +

    897 # print failure 

    +

    898 msg = f"Running Export ... done in {time.time() - start_time:.2f}s " 

    +

    899 print(str_error(msg)) 

    +

    900 self.logger.error(msg) 

    +

    901 

    +

    902 # print logs 

    +

    903 for msg in messages: 

    +

    904 print(str_error(msg)) 

    +

    905 self.logger.error(msg) 

    +

    906 

    +

    907 msg = ( 

    +

    908 "At least one export failed. " 

    +

    909 f"Please check the log files in '{self.logfile_dir}'." 

    +

    910 ) 

    +

    911 self.logger.error(msg) 

    +

    912 raise RuntimeError(str_error(msg)) 

    +

    913 

    +

    914 # print success 

    +

    915 msg = f"Running Export ... done in {time.time() - start_time:.2f}s " 

    +

    916 print(str_success(msg)) 

    +

    917 self.logger.info(msg) 

    +

    918 

    +

    919 def run_matrix(self, pool: futures.ThreadPoolExecutor): 

    +

    920 """Run diffcrash matrix 

    +

    921 

    +

    922 Parameters 

    +

    923 ---------- 

    +

    924 pool : `concurrent.futures.ThreadPoolExecutor` 

    +

    925 multiprocessing pool 

    +

    926 """ 

    +

    927 

    +

    928 msg = "Running Matrix ... " 

    +

    929 print(str_running(msg) + "\r", end="", flush=True) 

    +

    930 self.logger.info(msg) 

    +

    931 

    +

    932 start_time = time.time() 

    +

    933 

    +

    934 # create the input file for the process 

    +

    935 matrix_inputfile = self._create_matrix_input_file(self.project_dir) 

    +

    936 

    +

    937 # run the thing 

    +

    938 return_code_future = pool.submit( 

    +

    939 run_subprocess, 

    +

    940 [ 

    +

    941 os.path.join(self.diffcrash_home, "DFC_Matrix_" + self.crash_code), 

    +

    942 self.project_dir, 

    +

    943 matrix_inputfile, 

    +

    944 ], 

    +

    945 ) 

    +

    946 

    +

    947 # please hold the line ... 

    +

    948 return_code = return_code_future.result() 

    +

    949 

    +

    950 # check return code 

    +

    951 if return_code != 0: 

    +

    952 

    +

    953 # print failure 

    +

    954 msg = f"Running Matrix ... done in {time.time() - start_time:.2f}s " 

    +

    955 print(str_error(msg)) 

    +

    956 self.logger.error(msg) 

    +

    957 

    +

    958 msg = "The DFC_Matrix process failed somehow." 

    +

    959 self.logger.error(msg) 

    +

    960 raise RuntimeError(str_error(msg)) 

    +

    961 

    +

    962 # check log file 

    +

    963 messages = self.check_if_logfiles_show_success("DFC_Matrix_*") 

    +

    964 if messages: 

    +

    965 

    +

    966 # print failure 

    +

    967 msg = f"Running Matrix ... done in {time.time() - start_time:.2f}s " 

    +

    968 print(str_error(msg)) 

    +

    969 self.logger.info(msg) 

    +

    970 

    +

    971 # print why 

    +

    972 for msg in messages: 

    +

    973 print(str_error(msg)) 

    +

    974 self.logger.error(msg) 

    +

    975 

    +

    976 msg = f"DFC_Matrix failed. Please check the log files in '{self.logfile_dir}'." 

    +

    977 self.logger.error(msg) 

    +

    978 raise RuntimeError(str_error(msg)) 

    +

    979 

    +

    980 # print success 

    +

    981 msg = f"Running Matrix ... done in {time.time() - start_time:.2f}s " 

    +

    982 print(str_success(msg)) 

    +

    983 self.logger.info(msg) 

    +

    984 

    +

    985 def run_eigen(self, pool: futures.ThreadPoolExecutor): 

    +

    986 """Run diffcrash eigen 

    +

    987 

    +

    988 Parameters 

    +

    989 ---------- 

    +

    990 pool : `concurrent.futures.ThreadPoolExecutor` 

    +

    991 multiprocessing pool 

    +

    992 """ 

    +

    993 

    +

    994 msg = "Running Eigen ... " 

    +

    995 print(str_running(msg) + "\r", end="", flush=True) 

    +

    996 self.logger.info(msg) 

    +

    997 

    +

    998 # create input file for process 

    +

    999 eigen_inputfile = self._create_eigen_input_file(self.project_dir) 

    +

    1000 

    +

    1001 # run the thing 

    +

    1002 start_time = time.time() 

    +

    1003 return_code_future = pool.submit( 

    +

    1004 run_subprocess, 

    +

    1005 [ 

    +

    1006 os.path.join(self.diffcrash_home, "DFC_Eigen_" + self.crash_code), 

    +

    1007 self.project_dir, 

    +

    1008 eigen_inputfile, 

    +

    1009 ], 

    +

    1010 ) 

    +

    1011 

    +

    1012 # please hold the line ... 

    +

    1013 return_code = return_code_future.result() 

    +

    1014 

    +

    1015 # check return code 

    +

    1016 if return_code != 0: 

    +

    1017 msg = f"Running Eigen ... done in {time.time() - start_time:.2f}s " 

    +

    1018 print(str_error(msg)) 

    +

    1019 self.logger.error(msg) 

    +

    1020 

    +

    1021 msg = "The process failed somehow." 

    +

    1022 self.logger.error(msg) 

    +

    1023 raise RuntimeError(str_error(msg)) 

    +

    1024 

    +

    1025 # check log file 

    +

    1026 messages = self.check_if_logfiles_show_success("DFC_Matrix_*") 

    +

    1027 if messages: 

    +

    1028 

    +

    1029 # print failure 

    +

    1030 msg = f"Running Eigen ... done in {time.time() - start_time:.2f}s " 

    +

    1031 print(str_error(msg)) 

    +

    1032 self.logger.error(msg) 

    +

    1033 

    +

    1034 # print why 

    +

    1035 for msg in messages: 

    +

    1036 print(str_error(msg)) 

    +

    1037 self.logger.error(msg) 

    +

    1038 

    +

    1039 msg = f"DFC_Eigen failed. Please check the log files in '{self.logfile_dir}'." 

    +

    1040 self.logger.error(msg) 

    +

    1041 raise RuntimeError(str_error(msg)) 

    +

    1042 

    +

    1043 # print success 

    +

    1044 msg = f"Running Eigen ... done in {time.time() - start_time:.2f}s " 

    +

    1045 print(str_success(msg)) 

    +

    1046 self.logger.info(msg) 

    +

    1047 

    +

    1048 def run_merge(self, pool: futures.ThreadPoolExecutor): 

    +

    1049 """Run diffcrash merge 

    +

    1050 

    +

    1051 Parameters 

    +

    1052 ---------- 

    +

    1053 pool : `concurrent.futures.ThreadPoolExecutor` 

    +

    1054 multiprocessing pool 

    +

    1055 """ 

    +

    1056 

    +

    1057 msg = "Running Merge ... " 

    +

    1058 print(str_running(msg) + "\r", end="", flush=True) 

    +

    1059 self.logger.info(msg) 

    +

    1060 

    +

    1061 # create ionput file for merge 

    +

    1062 merge_inputfile = self._create_merge_input_file(self.project_dir) 

    +

    1063 

    +

    1064 # clear previous merges 

    +

    1065 for filepath in glob.glob(os.path.join(self.project_dir, "mode_*")): 

    +

    1066 if os.path.isfile(filepath): 

    +

    1067 os.remove(filepath) 

    +

    1068 

    +

    1069 # run the thing 

    +

    1070 start_time = time.time() 

    +

    1071 return_code_future = pool.submit( 

    +

    1072 run_subprocess, 

    +

    1073 [ 

    +

    1074 os.path.join(self.diffcrash_home, "DFC_Merge_All_" + self.crash_code), 

    +

    1075 self.project_dir, 

    +

    1076 merge_inputfile, 

    +

    1077 ], 

    +

    1078 ) 

    +

    1079 return_code = return_code_future.result() 

    +

    1080 

    +

    1081 # check return code 

    +

    1082 if return_code != 0: 

    +

    1083 msg = f"Running Merge ... done in {time.time() - start_time:.2f}s " 

    +

    1084 print(str_error(msg)) 

    +

    1085 self.logger.info(msg) 

    +

    1086 

    +

    1087 msg = "The process failed somehow." 

    +

    1088 self.logger.error(msg) 

    +

    1089 raise RuntimeError(str_error(msg)) 

    +

    1090 

    +

    1091 # check logfiles 

    +

    1092 messages = self.check_if_logfiles_show_success("DFC_Merge_All.log") 

    +

    1093 if messages: 

    +

    1094 msg = f"Running Merge ... done in {time.time() - start_time:.2f}s " 

    +

    1095 print(str_error(msg)) 

    +

    1096 self.logger.error(msg) 

    +

    1097 

    +

    1098 for msg in messages: 

    +

    1099 print(str_error(msg)) 

    +

    1100 self.logger.info(msg) 

    +

    1101 

    +

    1102 msg = "DFC_Merge_All failed. Please check the log files in '{self.logfile_dir}'." 

    +

    1103 self.logger.error(msg) 

    +

    1104 raise RuntimeError(str_error(msg)) 

    +

    1105 

    +

    1106 # print success 

    +

    1107 msg = f"Running Merge ... done in {time.time() - start_time:.2f}s " 

    +

    1108 print(str_success(msg)) 

    +

    1109 self.logger.info(msg) 

    +

    1110 

    +

    1111 def is_logfile_successful(self, logfile: str) -> bool: 

    +

    1112 """Checks if a logfile indicates a success 

    +

    1113 

    +

    1114 Parameters 

    +

    1115 ---------- 

    +

    1116 logfile : `str` 

    +

    1117 filepath to the logfile 

    +

    1118 

    +

    1119 Returns 

    +

    1120 ------- 

    +

    1121 success : `bool` 

    +

    1122 """ 

    +

    1123 

    +

    1124 with open(logfile, "r", encoding="utf-8") as fp: 

    +

    1125 for line in fp: 

    +

    1126 if "successfully" in line: 

    +

    1127 return True 

    +

    1128 return False 

    +

    1129 

    +

    1130 def _create_merge_input_file(self, directory: str) -> str: 

    +

    1131 """Create an input file for the merge executable 

    +

    1132 

    +

    1133 Notes 

    +

    1134 ----- 

    +

    1135 From the official diffcrash docs. 

    +

    1136 """ 

    +

    1137 

    +

    1138 # creates default inputfile for DFC_Merge 

    +

    1139 filepath = os.path.join(directory, "merge_all.txt") 

    +

    1140 with open(filepath, "w", encoding="utf-8") as merge_input_file: 

    +

    1141 merge_input_file.write("eigen_all ! Name of eigen input file\n") 

    +

    1142 merge_input_file.write( 

    +

    1143 "mode_ ! Name of Output file " 

    +

    1144 + "(string will be apended with mode information)\n" 

    +

    1145 ) 

    +

    1146 merge_input_file.write("1 1 ! Mode number to be generated\n") 

    +

    1147 merge_input_file.write("'d+ d-' ! Mode type to be generated\n") 

    +

    1148 # TIMESTEPSFILE optional 

    +

    1149 merge_input_file.write( 

    +

    1150 " ! Optional: Timestepfile (specify timesteps used for merge)\n" 

    +

    1151 ) 

    +

    1152 # PARTSFILE optional 

    +

    1153 merge_input_file.write( 

    +

    1154 " ! Optional: Partlistfile (specify parts used for merge)\n" 

    +

    1155 ) 

    +

    1156 

    +

    1157 return filepath 

    +

    1158 

    +

    1159 def _create_eigen_input_file(self, directory: str) -> str: 

    +

    1160 """Create an input file for the eigen executable 

    +

    1161 

    +

    1162 Notes 

    +

    1163 ----- 

    +

    1164 From the official diffcrash docs. 

    +

    1165 """ 

    +

    1166 

    +

    1167 # creates default inputfile for DFC_Eigen 

    +

    1168 filepath = os.path.join(directory, "eigen_all.txt") 

    +

    1169 with open(filepath, "w", encoding="utf-8") as eigen_input_file: 

    +

    1170 eigen_input_file.write("matrix_all\n") 

    +

    1171 eigen_input_file.write('""\n') 

    +

    1172 eigen_input_file.write("1 1000\n") 

    +

    1173 eigen_input_file.write('""\n') 

    +

    1174 eigen_input_file.write("0 0\n") 

    +

    1175 eigen_input_file.write('""\n') 

    +

    1176 eigen_input_file.write("eigen_all\n") 

    +

    1177 eigen_input_file.write('""\n') 

    +

    1178 eigen_input_file.write("0 0\n") 

    +

    1179 

    +

    1180 return filepath 

    +

    1181 

    +

    1182 def _create_matrix_input_file(self, directory: str) -> str: 

    +

    1183 """Create an input file for the matrix executable 

    +

    1184 

    +

    1185 Notes 

    +

    1186 ----- 

    +

    1187 From the official diffcrash docs. 

    +

    1188 """ 

    +

    1189 

    +

    1190 # creates default inputfile for DFC_Matrix 

    +

    1191 filepath = os.path.join(directory, "matrix.txt") 

    +

    1192 with open(filepath, "w", encoding="utf-8") as matrix_input_file: 

    +

    1193 matrix_input_file.write("0 1000 ! Initial and final time stept to consider\n") 

    +

    1194 matrix_input_file.write('"" ! not used\n') 

    +

    1195 matrix_input_file.write('"" ! not used\n') 

    +

    1196 matrix_input_file.write("matrix_all ! Name of matrix file set (Output)\n") 

    +

    1197 

    +

    1198 return filepath 

    +

    1199 

    +

    1200 def clear_project_dir(self): 

    +

    1201 """Clears the entire project dir""" 

    +

    1202 

    +

    1203 # disable logging 

    +

    1204 for handler in self.logger.handlers: 

    +

    1205 handler.close() 

    +

    1206 self.logger.removeHandler(handler) 

    +

    1207 

    +

    1208 # delete folder 

    +

    1209 if os.path.exists(self.project_dir): 

    +

    1210 shutil.rmtree(self.project_dir) 

    +

    1211 

    +

    1212 # reinit logger 

    +

    1213 self.logger = self._setup_logger() 

    +

    1214 

    +

    1215 def read_config_file(self, config_file: str) -> List[str]: 

    +

    1216 """Read a diffcrash config file 

    +

    1217 

    +

    1218 Parameters 

    +

    1219 ---------- 

    +

    1220 config_file : `str` 

    +

    1221 path to the config file 

    +

    1222 

    +

    1223 Notes 

    +

    1224 ----- 

    +

    1225 From the official diffcrash docs ... seriously. 

    +

    1226 """ 

    +

    1227 

    +

    1228 # Just to make it clear, this is not code from LASSO 

    +

    1229 # ... 

    +

    1230 

    +

    1231 # pylint: disable = too-many-locals 

    +

    1232 # pylint: disable = consider-using-enumerate 

    +

    1233 # pylint: disable = too-many-nested-blocks 

    +

    1234 # pylint: disable = too-many-branches 

    +

    1235 # pylint: disable = too-many-statements 

    +

    1236 

    +

    1237 with open(config_file, "r", encoding="utf-8") as conf: 

    +

    1238 conf_lines = conf.readlines() 

    +

    1239 line = 0 

    +

    1240 

    +

    1241 for i in range(0, len(conf_lines)): 

    +

    1242 if conf_lines[i].find("FUNCTION") >= 0: 

    +

    1243 line = i + 1 

    +

    1244 break 

    +

    1245 

    +

    1246 export_item_list = [] 

    +

    1247 j = 1 

    +

    1248 if line != 0: 

    +

    1249 while 1: 

    +

    1250 while 1: 

    +

    1251 for i in range(0, len(conf_lines[line])): 

    +

    1252 if conf_lines[line][i] == "<": 

    +

    1253 element_start = i + 1 

    +

    1254 if conf_lines[line][i] == ">": 

    +

    1255 element_end = i 

    +

    1256 elem = conf_lines[line][element_start:element_end] 

    +

    1257 check = conf_lines[line + j][:-1] 

    +

    1258 

    +

    1259 if check.find(elem) >= 0: 

    +

    1260 line = line + j + 1 

    +

    1261 j = 1 

    +

    1262 break 

    +

    1263 j += 1 

    +

    1264 items = check.split(" ") 

    +

    1265 pos = -1 

    +

    1266 for n in range(0, len(items)): 

    +

    1267 if items[n].startswith("!"): 

    +

    1268 msg = f"FOUND at {n}" 

    +

    1269 print(msg) 

    +

    1270 self.logger.info(msg) 

    +

    1271 pos = n 

    +

    1272 break 

    +

    1273 pos = len(items) 

    +

    1274 

    +

    1275 for n in range(0, pos): 

    +

    1276 if items[n] == "PDMX" or items[n] == "pdmx": 

    +

    1277 break 

    +

    1278 if items[n] == "PDXMX" or items[n] == "pdxmx": 

    +

    1279 break 

    +

    1280 if items[n] == "PDYMX" or items[n] == "pdymx": 

    +

    1281 break 

    +

    1282 if items[n] == "PDZMX" or items[n] == "pdzmx": 

    +

    1283 break 

    +

    1284 if items[n] == "PDIJ" or items[n] == "pdij": 

    +

    1285 break 

    +

    1286 if items[n] == "STDDEV" or items[n] == "stddev": 

    +

    1287 break 

    +

    1288 if items[n] == "NCOUNT" or items[n] == "ncount": 

    +

    1289 break 

    +

    1290 if items[n] == "MISES_MX" or items[n] == "mises_mx": 

    +

    1291 break 

    +

    1292 if items[n] == "MISES_IJ" or items[n] == "mises_ij": 

    +

    1293 break 

    +

    1294 

    +

    1295 for k in range(n, pos): 

    +

    1296 postval = None 

    +

    1297 for m in range(0, n): 

    +

    1298 if items[m] == "coordinates": 

    +

    1299 items[m] = "geometry" 

    +

    1300 if postval is None: 

    +

    1301 postval = items[m] 

    +

    1302 else: 

    +

    1303 postval = postval + "_" + items[m] 

    +

    1304 postval = postval.strip("_") 

    +

    1305 

    +

    1306 # hotfix 

    +

    1307 # sometimes the engine writes 'Geometry' instead of 'geometry' 

    +

    1308 postval = postval.lower() 

    +

    1309 

    +

    1310 items[k] = items[k].strip() 

    +

    1311 

    +

    1312 if items[k] != "" and items[k] != "\r": 

    +

    1313 if postval.lower() == "sigma": 

    +

    1314 export_item_list.append( 

    +

    1315 elem + "_" + postval + "_" + "001_" + items[k].lower() 

    +

    1316 ) 

    +

    1317 export_item_list.append( 

    +

    1318 elem + "_" + postval + "_" + "002_" + items[k].lower() 

    +

    1319 ) 

    +

    1320 export_item_list.append( 

    +

    1321 elem + "_" + postval + "_" + "003_" + items[k].lower() 

    +

    1322 ) 

    +

    1323 else: 

    +

    1324 export_item_list.append( 

    +

    1325 elem + "_" + postval + "_" + items[k].lower() 

    +

    1326 ) 

    +

    1327 if export_item_list[-1].endswith("\r"): 

    +

    1328 export_item_list[-1] = export_item_list[-1][:-1] 

    +

    1329 

    +

    1330 if conf_lines[line].find("FUNCTION") >= 0: 

    +

    1331 break 

    +

    1332 else: 

    +

    1333 export_item_list = ["NODE_geometry_pdmx", "NODE_geometry_pdij"] 

    +

    1334 

    +

    1335 return export_item_list 

    +

    1336 

    +

    1337 def check_if_logfiles_show_success(self, pattern: str) -> List[str]: 

    +

    1338 """Check if a logfiles with given pattern show success 

    +

    1339 

    +

    1340 Parameters 

    +

    1341 ---------- 

    +

    1342 pattern : `str` 

    +

    1343 file pattern used to search for logfiles 

    +

    1344 

    +

    1345 Returns 

    +

    1346 ------- 

    +

    1347 messages : `list` 

    +

    1348 list with messages of failed log checks 

    +

    1349 """ 

    +

    1350 

    +

    1351 _msg_logfile_nok = str_error("Logfile '{0}' reports no success.") 

    +

    1352 messages = [] 

    +

    1353 

    +

    1354 logfiles = glob.glob(os.path.join(self.logfile_dir, pattern)) 

    +

    1355 for filepath in logfiles: 

    +

    1356 if not self.is_logfile_successful(filepath): 

    +

    1357 messages.append(_msg_logfile_nok.format(filepath)) 

    +

    1358 

    +

    1359 return messages 

    +
    + + + diff --git a/coverage/d_d5eca2bf8c9eb372_run_py.html b/coverage/d_d5eca2bf8c9eb372_run_py.html new file mode 100644 index 0000000..f00d475 --- /dev/null +++ b/coverage/d_d5eca2bf8c9eb372_run_py.html @@ -0,0 +1,210 @@ + + + + + Coverage for lasso/diffcrash/run.py: 0% + + + + + +
    +
    +

    + Coverage for lasso/diffcrash/run.py: + 0% +

    + +

    + 39 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1from concurrent import futures 

    +

    2 

    +

    3from lasso.diffcrash.diffcrash_run import ( 

    +

    4 DC_STAGE_EIGEN, 

    +

    5 DC_STAGE_EXPORT, 

    +

    6 DC_STAGE_IMPORT, 

    +

    7 DC_STAGE_MATH, 

    +

    8 DC_STAGE_MATRIX, 

    +

    9 DC_STAGE_MERGE, 

    +

    10 DC_STAGE_SETUP, 

    +

    11 DC_STAGES, 

    +

    12 DiffcrashRun, 

    +

    13 parse_diffcrash_args, 

    +

    14) 

    +

    15 

    +

    16from ..logging import str_error 

    +

    17 

    +

    18 

    +

    19def _parse_stages(start_stage: str, end_stage: str): 

    +

    20 

    +

    21 # check validity 

    +

    22 if start_stage not in DC_STAGES or end_stage not in DC_STAGES: 

    +

    23 raise ValueError( 

    +

    24 str_error(f"{start_stage} is not a valid stage. Try: {', '.join(DC_STAGES)}.") 

    +

    25 ) 

    +

    26 

    +

    27 # get indexes 

    +

    28 start_stage_index = DC_STAGES.index(start_stage) 

    +

    29 end_stage_index = DC_STAGES.index(end_stage) 

    +

    30 

    +

    31 # check if start and end are in correct order 

    +

    32 if start_stage_index > end_stage_index: 

    +

    33 raise ValueError( 

    +

    34 str_error( 

    +

    35 f"The specified end stage '{end_stage}' comes before " 

    +

    36 f"the start stage ({start_stage}). " 

    +

    37 f"Try the order: {', '.join(DC_STAGES)}" 

    +

    38 ) 

    +

    39 ) 

    +

    40 

    +

    41 return start_stage_index, end_stage_index 

    +

    42 

    +

    43 

    +

    44def main(): 

    +

    45 """Main function for running diffcrash""" 

    +

    46 

    +

    47 # parse command line stuff 

    +

    48 parser = parse_diffcrash_args() 

    +

    49 

    +

    50 # parse settings from command line 

    +

    51 diffcrash_run = DiffcrashRun( 

    +

    52 project_dir=parser.project_dir, 

    +

    53 crash_code=parser.crash_code, 

    +

    54 reference_run=parser.reference_run, 

    +

    55 exclude_runs=parser.exclude_runs, 

    +

    56 simulation_runs=parser.simulation_runs, 

    +

    57 diffcrash_home=parser.diffcrash_home, 

    +

    58 use_id_mapping=parser.use_id_mapping, 

    +

    59 config_file=parser.config_file, 

    +

    60 parameter_file=parser.parameter_file, 

    +

    61 n_processes=parser.n_processes, 

    +

    62 ) 

    +

    63 

    +

    64 # determine start and end stages 

    +

    65 start_stage_index, end_stage_index = _parse_stages(parser.start_stage, parser.end_stage) 

    +

    66 

    +

    67 # remove old stuff 

    +

    68 if start_stage_index == 0: 

    +

    69 diffcrash_run.clear_project_dir() 

    +

    70 diffcrash_run.create_project_dirs() 

    +

    71 

    +

    72 # do the thing 

    +

    73 print() 

    +

    74 print(" ---- Running Routines ---- ") 

    +

    75 print() 

    +

    76 

    +

    77 # initiate threading pool for handling jobs 

    +

    78 with futures.ThreadPoolExecutor(max_workers=diffcrash_run.n_processes) as pool: 

    +

    79 

    +

    80 # setup 

    +

    81 if start_stage_index <= DC_STAGES.index(DC_STAGE_SETUP) <= end_stage_index: 

    +

    82 diffcrash_run.run_setup(pool) 

    +

    83 

    +

    84 # import 

    +

    85 if start_stage_index <= DC_STAGES.index(DC_STAGE_IMPORT) <= end_stage_index: 

    +

    86 diffcrash_run.run_import(pool) 

    +

    87 

    +

    88 # math 

    +

    89 if start_stage_index <= DC_STAGES.index(DC_STAGE_MATH) <= end_stage_index: 

    +

    90 diffcrash_run.run_math(pool) 

    +

    91 

    +

    92 # export 

    +

    93 if start_stage_index <= DC_STAGES.index(DC_STAGE_EXPORT) <= end_stage_index: 

    +

    94 diffcrash_run.run_export(pool) 

    +

    95 

    +

    96 # matrix 

    +

    97 if start_stage_index <= DC_STAGES.index(DC_STAGE_MATRIX) <= end_stage_index: 

    +

    98 diffcrash_run.run_matrix(pool) 

    +

    99 

    +

    100 # eigen 

    +

    101 if start_stage_index <= DC_STAGES.index(DC_STAGE_EIGEN) <= end_stage_index: 

    +

    102 diffcrash_run.run_eigen(pool) 

    +

    103 

    +

    104 # merge 

    +

    105 if start_stage_index <= DC_STAGES.index(DC_STAGE_MERGE) <= end_stage_index: 

    +

    106 diffcrash_run.run_merge(pool) 

    +

    107 

    +

    108 # final spacing 

    +

    109 print() 

    +

    110 

    +

    111 

    +

    112if __name__ == "__main__": 

    +

    113 main() 

    +
    + + + diff --git a/coverage/d_ec83283597faf9de___init___py.html b/coverage/d_ec83283597faf9de___init___py.html new file mode 100644 index 0000000..ff52a24 --- /dev/null +++ b/coverage/d_ec83283597faf9de___init___py.html @@ -0,0 +1,97 @@ + + + + + Coverage for lasso/dimred/svd/__init__.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/dimred/svd/__init__.py: + 100% +

    + +

    + 0 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +
    + + + diff --git a/coverage/d_ec83283597faf9de_clustering_betas_py.html b/coverage/d_ec83283597faf9de_clustering_betas_py.html new file mode 100644 index 0000000..8c8583a --- /dev/null +++ b/coverage/d_ec83283597faf9de_clustering_betas_py.html @@ -0,0 +1,808 @@ + + + + + Coverage for lasso/dimred/svd/clustering_betas.py: 48% + + + + + +
    +
    +

    + Coverage for lasso/dimred/svd/clustering_betas.py: + 48% +

    + +

    + 223 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1from typing import Sequence, Tuple, Union 

    +

    2 

    +

    3import numpy as np 

    +

    4from sklearn.cluster import DBSCAN, OPTICS, KMeans, SpectralClustering 

    +

    5from sklearn.ensemble import IsolationForest 

    +

    6from sklearn.neighbors import LocalOutlierFactor 

    +

    7from sklearn.svm import OneClassSVM 

    +

    8 

    +

    9from .keyword_types import ClusterType, DetectorType 

    +

    10 

    +

    11 

    +

    12def __apply_spectral_clustering(betas, runids, datasets, idsets, random_state=11, **kwargs): 

    +

    13 """ 

    +

    14 Method to group the input Betas. 

    +

    15 Default keyword arguments: affinity='nearest_neighbors', random_state=11 

    +

    16 

    +

    17 Parameters 

    +

    18 ---------- 

    +

    19 betas: np.ndarray 

    +

    20 Betas that shall be grouped into clusters 

    +

    21 run_ids: np.ndarray 

    +

    22 Ids matching to each Beta 

    +

    23 datasets: list 

    +

    24 List where each grouped Betas will be added 

    +

    25 idsets: list 

    +

    26 List where the grouped ids corresponding to the grouped Betas will be saved 

    +

    27 **kwargs: keyword arguments 

    +

    28 Keyword arguments specific for the SpectralClustering algorythm 

    +

    29 

    +

    30 See Also 

    +

    31 -------- 

    +

    32 Detailed Documentation of the function parameters can be found on sklearn. 

    +

    33 Link: https://scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralClustering.html#sklearn.cluster.SpectralClustering 

    +

    34 """ # noqa pylint: disable = line-too-long 

    +

    35 clustering = SpectralClustering(random_state=random_state, **kwargs).fit(betas) 

    +

    36 

    +

    37 indexes = clustering.labels_ 

    +

    38 

    +

    39 clusters = np.unique(indexes) 

    +

    40 

    +

    41 for clump in clusters: 

    +

    42 clump_index = np.where(indexes == clump)[0] 

    +

    43 clump_betas = betas[clump_index] 

    +

    44 clump_runs = runids[clump_index] 

    +

    45 datasets.append(clump_betas) 

    +

    46 idsets.append(clump_runs.tolist()) 

    +

    47 

    +

    48 

    +

    49def __apply_k_means(betas, runids, datasets, idsets, random_state=11, **kwargs): 

    +

    50 """ 

    +

    51 Method to group the input Betas. 

    +

    52 Recommended keyword arguments: n_clusters=3, random_state=11 

    +

    53 

    +

    54 Parameters 

    +

    55 ---------- 

    +

    56 betas: np.ndarray 

    +

    57 Betas that shall be grouped into clusters 

    +

    58 run_ids: np.ndarray 

    +

    59 Ids matching to each Beta 

    +

    60 datasets: list 

    +

    61 List where each grouped Betas will be added 

    +

    62 idsets: list 

    +

    63 List where the grouped ids corresponding to the grouped Betas will be saved 

    +

    64 **kwargs: keyword arguments 

    +

    65 Keyword arguments specific fot the KMeans algorythm 

    +

    66 

    +

    67 See Also 

    +

    68 -------- 

    +

    69 Detailed Documentation of the function parameters can be found on sklearn. 

    +

    70 Link: https://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html#sklearn.cluster.KMeans 

    +

    71 """ # noqa: E501 pylint: disable = line-too-long 

    +

    72 kmeans = KMeans(random_state=random_state, **kwargs).fit(betas) 

    +

    73 indexes = kmeans.labels_ 

    +

    74 

    +

    75 clusters = np.unique(indexes) 

    +

    76 

    +

    77 for clump in clusters: 

    +

    78 clump_index = np.where(indexes == clump)[0] 

    +

    79 clump_betas = betas[clump_index] 

    +

    80 clump_runs = runids[clump_index] 

    +

    81 datasets.append(clump_betas) 

    +

    82 idsets.append(clump_runs.tolist()) 

    +

    83 

    +

    84 

    +

    85def __apply_dbscan(betas, runids, datasets, idsets, **kwargs): 

    +

    86 """ 

    +

    87 Method to group the input Betas. 

    +

    88 Defautl keyword arguments: eps=0.08 

    +

    89 

    +

    90 Parameters 

    +

    91 ---------- 

    +

    92 betas: np.ndarray 

    +

    93 Betas that shall be grouped into clusters 

    +

    94 run_ids: np.ndarray 

    +

    95 Ids matching to each Beta 

    +

    96 datasets: list 

    +

    97 List where each grouped Betas will be added 

    +

    98 idsets: list 

    +

    99 List where the grouped ids corresponding to the grouped Betas will be saved 

    +

    100 **kwags: keyword arguments 

    +

    101 Keyword arguments for the DBSCAN algorythm 

    +

    102 

    +

    103 See Also 

    +

    104 -------- 

    +

    105 Detailed Documentation of the function parameters can be found on sklearn. 

    +

    106 Link: https://scikit-learn.org/stable/modules/generated/sklearn.cluster.DBSCAN.html#sklearn.cluster.DBSCAN 

    +

    107 """ # noqa: E501 pylint: disable = line-too-long 

    +

    108 deutsche_bahn = DBSCAN(**kwargs).fit(betas) 

    +

    109 indexes = deutsche_bahn.labels_ 

    +

    110 

    +

    111 clusters = np.unique(indexes) 

    +

    112 

    +

    113 for clump in clusters: 

    +

    114 clump_index = np.where(indexes == clump)[0] 

    +

    115 clump_betas = betas[clump_index] 

    +

    116 clump_runs = runids[clump_index] 

    +

    117 datasets.append(clump_betas) 

    +

    118 idsets.append(clump_runs.tolist()) 

    +

    119 

    +

    120 

    +

    121def __apply_optics(betas, runids, datasets, idsets, **kwargs): 

    +

    122 """ 

    +

    123 Method to group the input Betas. 

    +

    124 Default keyword parameters: eps=0.05, min_cluster_size=10 

    +

    125 

    +

    126 Parameters 

    +

    127 ---------- 

    +

    128 betas: np.ndarray 

    +

    129 Betas that shall be grouped into clusters 

    +

    130 run_ids: np.ndarray 

    +

    131 Ids matching to each Beta 

    +

    132 datasets: list 

    +

    133 List where each grouped Betas will be added 

    +

    134 idsets: list 

    +

    135 List where the grouped ids corresponding to the grouped Betas will be saved 

    +

    136 **kwargs: keyword arguments 

    +

    137 Keyword arguments specific to the OPTICS function. 

    +

    138 

    +

    139 See Also 

    +

    140 ------- 

    +

    141 Detailed Documentation of the function parameters can be found on sklearn. 

    +

    142 Link: https://scikit-learn.org/stable/modules/generated/sklearn.cluster.OPTICS.html#sklearn.cluster.OPTICS 

    +

    143 """ # noqa: E501 pylint: disable = line-too-long 

    +

    144 lense = OPTICS(**kwargs).fit(betas) 

    +

    145 indexes = lense.labels_ 

    +

    146 

    +

    147 clusters = np.unique(indexes) 

    +

    148 

    +

    149 for clump in clusters: 

    +

    150 clump_index = np.where(indexes == clump)[0] 

    +

    151 clump_betas = betas[clump_index] 

    +

    152 clump_runs = runids[clump_index] 

    +

    153 datasets.append(clump_betas) 

    +

    154 idsets.append(clump_runs.tolist()) 

    +

    155 

    +

    156 

    +

    157def __detect_outliers_isolation_forest( 

    +

    158 betas, ids, beta_clusters, id_clusters, random_state=11, **kwargs 

    +

    159): 

    +

    160 """ 

    +

    161 Detects outliers based on the IsolationForest algorythm from sklearn. 

    +

    162 Detected outliers will be appended into the provided lists 

    +

    163 Default keyword parameters: random_state=12, behaviour="new", contamination=0.005 

    +

    164 

    +

    165 Parameters 

    +

    166 ---------- 

    +

    167 betas: np.ndarray 

    +

    168 Numpy array containing the betas 

    +

    169 ids: np.ndarray 

    +

    170 Numpy array containing the ids of each beta 

    +

    171 beta_clusters: list 

    +

    172 List where each cluster of betas will be appended 

    +

    173 id_clusters: list 

    +

    174 List where each cluster of ids will be appended 

    +

    175 **kwargs: keyword argument 

    +

    176 Keywords specific to the IsolationForest algorythm 

    +

    177 Returns 

    +

    178 ------- 

    +

    179 inlier_betas: np.array 

    +

    180 Numpy array containing the betas that are not outliers 

    +

    181 inlier_ids: np.array 

    +

    182 Numpy array containing the ids of betas that are not outliers 

    +

    183 

    +

    184 See Also 

    +

    185 -------- 

    +

    186 Detailed Documentation of the function parameters can be found on sklearn. 

    +

    187 Link: https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html 

    +

    188 """ # noqa: E501 pylint: disable = line-too-long 

    +

    189 outcasts = IsolationForest(random_state=random_state, **kwargs).fit(betas).predict(betas) 

    +

    190 

    +

    191 outlier_key = np.where(outcasts == -1)[0] 

    +

    192 inlier_key = np.where(outcasts == 1)[0] 

    +

    193 beta_clusters.append(betas[outlier_key]) 

    +

    194 id_clusters.append(ids[outlier_key].tolist()) 

    +

    195 

    +

    196 return betas[inlier_key], ids[inlier_key] 

    +

    197 

    +

    198 

    +

    199def __detect_outliers_local_outlier_factor(betas, ids, beta_clusters, id_clusters, **kwargs): 

    +

    200 """ 

    +

    201 Detects outliers based on the LocalOutlierFactor algorythm from sklearn. 

    +

    202 Detected outliers will be appended into the provided lists 

    +

    203 Default keyword parameters: contamination=0.01 

    +

    204 

    +

    205 Parameters 

    +

    206 ---------- 

    +

    207 betas: np.ndarray 

    +

    208 Numpy array containing the betas 

    +

    209 ids: np.ndarray 

    +

    210 Numpy array containing the ids of each beta 

    +

    211 beta_clusters: list 

    +

    212 List where each cluster of betas will be appended 

    +

    213 id_clusters: list 

    +

    214 List where each cluster of ids will be appended 

    +

    215 **kwargs: keyword argument 

    +

    216 Keywords specific to the LocalOutlierFactor algorythm. 

    +

    217 Returns 

    +

    218 ------- 

    +

    219 inlier_betas: np.ndarray 

    +

    220 Numpy array containing the betas that are not outliers 

    +

    221 inlier_ids: np.ndarray 

    +

    222 Numpy array containing the ids of betas that are not outliers 

    +

    223 

    +

    224 See Also 

    +

    225 -------- 

    +

    226 Detailed Documentation of the function parameters can be found on sklearn. 

    +

    227 Link:https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.LocalOutlierFactor.html#sklearn.neighbors.LocalOutlierFactor 

    +

    228 """ # noqa pylint: disable = line-too-long 

    +

    229 outcasts = LocalOutlierFactor(**kwargs).fit_predict(betas) 

    +

    230 

    +

    231 outlier_key = np.where(outcasts == -1)[0] 

    +

    232 inlier_key = np.where(outcasts == 1)[0] 

    +

    233 beta_clusters.append(betas[outlier_key]) 

    +

    234 id_clusters.append(ids[outlier_key].tolist()) 

    +

    235 

    +

    236 return betas[inlier_key], ids[inlier_key] 

    +

    237 

    +

    238 

    +

    239def __detect_outliers_one_class_svm(betas, ids, beta_clusters, id_clusters, **kwargs): 

    +

    240 """ 

    +

    241 Detects outliers based on the OneClassSVM algorythm from sklearn. 

    +

    242 Detected outliers will be appended into the provided lists 

    +

    243 Defautl keyword arguments: gamma=0.1, nu=0.01 

    +

    244 

    +

    245 Parameters 

    +

    246 ---------- 

    +

    247 betas: np.ndarray 

    +

    248 Numpy array containing the betas 

    +

    249 ids: np.ndarray 

    +

    250 Numpy array containing the ids of each beta 

    +

    251 beta_clusters: list 

    +

    252 List where each cluster of betas will be appended 

    +

    253 id_clusters: list 

    +

    254 List where each cluster of ids will be appended 

    +

    255 **kwargs: keyword argument 

    +

    256 Keywords specific to the OneClassSVM algorythm. 

    +

    257 

    +

    258 Returns 

    +

    259 ------- 

    +

    260 inlier_betas: np.ndarray 

    +

    261 Numpy array containing the betas that are not outliers 

    +

    262 inlier_ids: np.ndarray 

    +

    263 Numpy array containing the ids of betas that are not outliers 

    +

    264 

    +

    265 See Also 

    +

    266 -------- 

    +

    267 Detailed Documentation of the function parameters can be found on sklearn. 

    +

    268 Link: https://scikit-learn.org/stable/modules/generated/sklearn.svm.OneClassSVM.html#sklearn.svm.OneClassSVM 

    +

    269 """ # noqa: E501 pylint: disable = line-too-long 

    +

    270 

    +

    271 outcasts = OneClassSVM(**kwargs).fit_predict(betas) 

    +

    272 

    +

    273 outlier_key = np.where(outcasts == -1)[0] 

    +

    274 inlier_key = np.where(outcasts == 1)[0] 

    +

    275 beta_clusters.append(betas[outlier_key]) 

    +

    276 id_clusters.append(ids[outlier_key].tolist()) 

    +

    277 

    +

    278 return betas[inlier_key], ids[inlier_key] 

    +

    279 

    +

    280 

    +

    281def __experimental_outlier_detector(betas, ids, **kwargs): 

    +

    282 """ 

    +

    283 Detects outliers by applying LocalOutlierFactor algorythm from sklearn over multiple slices of betas . 

    +

    284 Detected outliers will be appended into the provided lists 

    +

    285 Default keyword arguments: contamination=0.01 

    +

    286 Parameters 

    +

    287 ---------- 

    +

    288 betas: np.ndarray 

    +

    289 Numpy array containing the betas 

    +

    290 ids: np.ndarray 

    +

    291 Numpy array containing the ids of each beta 

    +

    292 **kwargs: keyword argument 

    +

    293 Keywords specific to the LocalOutlierFactor algorythm 

    +

    294 Returns 

    +

    295 ------- 

    +

    296 outliers: np.array 

    +

    297 Numpy array containing the sample names identified as outliers 

    +

    298 outlier_index: np.array 

    +

    299 Array containing the indexes of outliers 

    +

    300 inlier_index: np.array 

    +

    301 Array of booleans to get inlier(not outliers) betas and IDs 

    +

    302 

    +

    303 See Also 

    +

    304 -------- 

    +

    305 Detailed Documentation of the function parameters can be found on sklearn. 

    +

    306 Link:https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.LocalOutlierFactor.html#sklearn.neighbors.LocalOutlierFactor 

    +

    307 """ # noqa pylint: disable = line-too-long 

    +

    308 

    +

    309 # pylint: disable = too-many-locals 

    +

    310 

    +

    311 loops = betas.shape[1] - 2 

    +

    312 alertlist = [] 

    +

    313 for dadoop in range(loops): 

    +

    314 slicer = dadoop + 3 

    +

    315 beta_slice = betas[:, dadoop:slicer] 

    +

    316 

    +

    317 sanitizer = LocalOutlierFactor(**kwargs).fit_predict(beta_slice) 

    +

    318 outlier_key = np.where(sanitizer == -1)[0] 

    +

    319 alertlist.append(outlier_key) 

    +

    320 

    +

    321 suspects = np.concatenate(alertlist) 

    +

    322 individuals = np.unique(suspects) 

    +

    323 crimecounter = np.array([np.where(suspects == tracked)[0].shape[0] for tracked in individuals]) 

    +

    324 

    +

    325 the_cases = np.where(crimecounter > 2)[0] 

    +

    326 the_judged = ids[individuals[the_cases]] 

    +

    327 

    +

    328 innocents = np.full(ids.shape, True) 

    +

    329 

    +

    330 if the_judged.shape != (0,): 

    +

    331 judged_index = np.array([np.where(ids == convict)[0] for convict in the_judged])[:, 0] 

    +

    332 

    +

    333 innocents[judged_index] = False 

    +

    334 else: 

    +

    335 return False 

    +

    336 

    +

    337 return the_judged, judged_index, innocents 

    +

    338 

    +

    339 

    +

    340def __rescale_betas(betas): 

    +

    341 """ 

    +

    342 utility function to rescale betas into the range of [0, 1]. 

    +

    343 Expects only positive betas 

    +

    344 

    +

    345 Parameters 

    +

    346 ---------- 

    +

    347 betas: np.ndarray 

    +

    348 Numpy array containing the betas to be scaled. Expects betas of shape (samples, nr_betas) 

    +

    349 

    +

    350 Returns 

    +

    351 ------- 

    +

    352 betas_scaled: np.ndarray 

    +

    353 Betas scaled to range [0, 1] 

    +

    354 maxb: np.ndarray 

    +

    355 Array to rescale betas back to original values 

    +

    356 """ 

    +

    357 assert len(betas.shape) == 2 

    +

    358 ref_betas = np.abs(betas) 

    +

    359 maxb = np.array([np.max(ref_betas[:, i]) for i in range(betas.shape[1])]) 

    +

    360 # return np.array([(betas[:, i]/maxb[i]) for i in range(betas.shape[1])]).T 

    +

    361 return betas / (maxb.T), maxb.T 

    +

    362 

    +

    363 

    +

    364def list_detectors_and_cluster(): 

    +

    365 """ 

    +

    366 Prints out all keywords for outlier detection and clustering functions 

    +

    367 

    +

    368 See Also 

    +

    369 -------- 

    +

    370 list_detectors_and_cluster(keyword)""" 

    +

    371 

    +

    372 print("Implemented Detectors:") 

    +

    373 for entry in __detector_dict: 

    +

    374 print(" " + entry) 

    +

    375 print("Implemented Clustering Functions") 

    +

    376 for entry in __cluster_dict: 

    +

    377 print(" " + entry) 

    +

    378 

    +

    379 

    +

    380def document_algorithm(keyword): 

    +

    381 """ 

    +

    382 prints out the docstring of the function related to the input keyword 

    +

    383 

    +

    384 Parameters 

    +

    385 ---------- 

    +

    386 keyword: str 

    +

    387 String keyword referencing the outlier detection or clustering function 

    +

    388 

    +

    389 See Also 

    +

    390 -------- 

    +

    391 list_detectors_and_cluster() 

    +

    392 """ 

    +

    393 print(__doc_dict[keyword]) 

    +

    394 

    +

    395 

    +

    396__doc_dict = { 

    +

    397 DetectorType.IsolationForest: __detect_outliers_isolation_forest.__doc__, 

    +

    398 DetectorType.OneClassSVM: __detect_outliers_one_class_svm.__doc__, 

    +

    399 DetectorType.LocalOutlierFactor: __detect_outliers_local_outlier_factor.__doc__, 

    +

    400 # DetectorType.Experimental: __experimental_outlier_detector.__doc__, 

    +

    401 ClusterType.OPTICS: __apply_optics.__doc__, 

    +

    402 ClusterType.DBSCAN: __apply_dbscan.__doc__, 

    +

    403 ClusterType.KMeans: __apply_k_means.__doc__, 

    +

    404 ClusterType.SpectralClustering: __apply_spectral_clustering.__doc__, 

    +

    405} 

    +

    406 

    +

    407__detector_dict = { 

    +

    408 DetectorType.IsolationForest: __detect_outliers_isolation_forest, 

    +

    409 DetectorType.OneClassSVM: __detect_outliers_one_class_svm, 

    +

    410 DetectorType.LocalOutlierFactor: __detect_outliers_local_outlier_factor, 

    +

    411 # DetectorType.Experimental: __experimental_outlier_detector 

    +

    412} 

    +

    413__cluster_dict = { 

    +

    414 ClusterType.OPTICS: __apply_optics, 

    +

    415 ClusterType.DBSCAN: __apply_dbscan, 

    +

    416 ClusterType.KMeans: __apply_k_means, 

    +

    417 ClusterType.SpectralClustering: __apply_spectral_clustering, 

    +

    418} 

    +

    419 

    +

    420 

    +

    421def create_cluster_arg_dict(args: Sequence[str]) -> Union[Tuple[str, dict], str]: 

    +

    422 """Determines which cluster to use and creates a python dictionary to use as cluster_params 

    +

    423 

    +

    424 Parameters 

    +

    425 ---------- 

    +

    426 args: Sequence[str] 

    +

    427 List of strings containing parameters and arguments 

    +

    428 

    +

    429 Returns 

    +

    430 ------- 

    +

    431 cluster_type: str 

    +

    432 determines which cluster algorithm to use 

    +

    433 cluster_arg_dict: dict 

    +

    434 dictionary containing arguments and values for specific cluster_type 

    +

    435 err_msg: str 

    +

    436 message containing error, mostly unrecognised keywords""" 

    +

    437 

    +

    438 # first argument must be cluster type 

    +

    439 cluster_key = args[0].lower() 

    +

    440 cluster_arg_dict = {} 

    +

    441 cluster_type = None 

    +

    442 param_type = [] 

    +

    443 

    +

    444 # all following arguments are a parameter, followed by their respective value 

    +

    445 parameters = [] 

    +

    446 values = [] 

    +

    447 if len(args) % 3 == 0: 

    +

    448 # check if amount of parameters is valid 

    +

    449 err_msg = ( 

    +

    450 "Invalid cluster arguments, first argument must be the chosen clustering algorithm," 

    +

    451 " and each optional subsequent parameter must be followed by its type and value" 

    +

    452 ) 

    +

    453 return err_msg 

    +

    454 if len(args) > 1: 

    +

    455 # check if we even have parameters 

    +

    456 parameters = args[1:-2:3] 

    +

    457 param_type = args[2:-1:3] 

    +

    458 values = args[3::3] 

    +

    459 

    +

    460 for cluster_option in ClusterType.get_cluster_type_name(): 

    +

    461 if cluster_key == cluster_option.lower(): 

    +

    462 cluster_type = cluster_option 

    +

    463 

    +

    464 if not cluster_type: 

    +

    465 err_msg = ( 

    +

    466 f"No existing clustering method matching {args[0]}" 

    +

    467 f"possible clustering methods are: {str(ClusterType.get_cluster_type_name())[1:-1]}" 

    +

    468 ) 

    +

    469 return err_msg 

    +

    470 

    +

    471 for ind, param in enumerate(parameters): 

    +

    472 p_t = param_type[ind] 

    +

    473 v_type = None 

    +

    474 if p_t == "str": 

    +

    475 v_type = str 

    +

    476 elif p_t == "float": 

    +

    477 v_type = float 

    +

    478 elif p_t == "int": 

    +

    479 v_type = int 

    +

    480 else: 

    +

    481 err_msg = f"Clustering: Invalid type identifier {p_t}" 

    +

    482 return err_msg 

    +

    483 

    +

    484 try: 

    +

    485 val = v_type(values[ind]) 

    +

    486 except ValueError: 

    +

    487 err_msg = ( 

    +

    488 f"Clustering: Invalid value {values[ind]} " 

    +

    489 f"for parameter {param} of type {v_type}" 

    +

    490 ) 

    +

    491 return err_msg 

    +

    492 cluster_arg_dict[param] = val 

    +

    493 

    +

    494 return cluster_type, cluster_arg_dict 

    +

    495 

    +

    496 

    +

    497def create_detector_arg_dict(args: Sequence[str]) -> Union[Tuple[str, dict], str]: 

    +

    498 """Determines which detector to use and creates a python dictionary to use as detector_params 

    +

    499 

    +

    500 Parameters 

    +

    501 ---------- 

    +

    502 args: Sequence[str] 

    +

    503 List of strings containing parameters and arguments 

    +

    504 

    +

    505 Returns 

    +

    506 ------- 

    +

    507 detector_type: str 

    +

    508 determines which cluster algorithm to use 

    +

    509 detector_arg_dict: dict 

    +

    510 dictionary containing arguments and values for specific cluster_type 

    +

    511 err_mgs: str 

    +

    512 message containing error, mostly unrecognised keywords""" 

    +

    513 

    +

    514 # first argument must be detector type: 

    +

    515 detector_key = args[0].lower() 

    +

    516 detector_arg_dict = {} 

    +

    517 detector_type = None 

    +

    518 param_type = [] 

    +

    519 

    +

    520 # all following arguments are a parameter, followed by their respective value 

    +

    521 parameters = [] 

    +

    522 values = [] 

    +

    523 if len(args) % 3 == 0: 

    +

    524 # check if amount of parameters is valid 

    +

    525 err_msg = ( 

    +

    526 "Invalid outlier detector arguments, first argument must be " 

    +

    527 "the chosen detector algorithm, and each optional subsequent " 

    +

    528 "parameter must be followed by its type and value" 

    +

    529 ) 

    +

    530 return err_msg 

    +

    531 if len(args) > 1: 

    +

    532 # check if we even have parameters 

    +

    533 parameters = args[1:-2:3] 

    +

    534 param_type = args[2:-1:3] 

    +

    535 values = args[3::3] 

    +

    536 

    +

    537 for detector_option in DetectorType.get_detector_type_name(): 

    +

    538 if detector_key == detector_option.lower(): 

    +

    539 detector_type = detector_option 

    +

    540 

    +

    541 if not detector_type: 

    +

    542 err_msg = ( 

    +

    543 f"No existing outlier detection method matching {args[0]} " 

    +

    544 f"possible outlier detection methods are: " 

    +

    545 f"{str(DetectorType.get_detector_type_name())[1:-1]}" 

    +

    546 ) 

    +

    547 return err_msg 

    +

    548 

    +

    549 for ind, param in enumerate(parameters): 

    +

    550 p_t = param_type[ind] 

    +

    551 v_type = None 

    +

    552 if p_t == "str": 

    +

    553 v_type = str 

    +

    554 elif p_t == "float": 

    +

    555 v_type = float 

    +

    556 elif p_t == "int": 

    +

    557 v_type = int 

    +

    558 else: 

    +

    559 err_msg = f"Outlier Detection: Invalid type identifier {p_t}" 

    +

    560 return err_msg 

    +

    561 

    +

    562 try: 

    +

    563 val = v_type(values[ind]) 

    +

    564 except ValueError: 

    +

    565 err_msg = ( 

    +

    566 f"Outlier Detection: Invalid value {values[ind]} " 

    +

    567 "for parameter {param} of type {v_type}" 

    +

    568 ) 

    +

    569 return err_msg 

    +

    570 detector_arg_dict[param] = val 

    +

    571 

    +

    572 return detector_type, detector_arg_dict 

    +

    573 

    +

    574 

    +

    575def group_betas( 

    +

    576 beta_index, 

    +

    577 betas, 

    +

    578 scale_betas=False, 

    +

    579 cluster=None, 

    +

    580 detector=None, 

    +

    581 cluster_params=None, 

    +

    582 detector_params=None, 

    +

    583) -> Union[Tuple[list, list], str]: 

    +

    584 """ 

    +

    585 Base function to to group betas into groups, detect outliers. Provides that all different 

    +

    586 clustering and outlier detection algorythms are implemented in an easy to access environment. 

    +

    587 To select different clustering and outlier detection algoyrthms, please use appropriate 

    +

    588 KeywordTypes. A description of each function can be accessed with document_algorythm(keyword) 

    +

    589 A list of all functions can be accessed with list_detectors_and_clusters() 

    +

    590 

    +

    591 Parameters 

    +

    592 ---------- 

    +

    593 beta_index: np.ndarray 

    +

    594 Array containing the file names specific to the betas with the same index in the beta array 

    +

    595 betas: np.ndarray 

    +

    596 Numpy array containing the betas. 

    +

    597 Betas are expected to be of shape (samples, timestep, 3) 

    +

    598 The three entries per beta can either be dimesnions (x,y,z) or any three betas/eigenvalues 

    +

    599 cluster: str, optional, default : "KMeans". 

    +

    600 String specifying which clustering algorythm shall be applied. 

    +

    601 Use ClusterTypefor easier access 

    +

    602 detector: str, optional, default: None. 

    +

    603 String specifying which outlier detection algorythm shall be applied. 

    +

    604 Use DetectorType for easier access 

    +

    605 cluster_params: dict, optional 

    +

    606 Dictionary containing parameters for the clustering algorythms. 

    +

    607 See the sklearn documentation for the function to learn more. 

    +

    608 detector_params: dict, optional 

    +

    609 Dictionary containing parameters for the outlier detection algorythms. 

    +

    610 See the sklearn documentation for the function to learn more 

    +

    611 

    +

    612 Returns 

    +

    613 ------- 

    +

    614 beta_clusters: list 

    +

    615 List containing Numpy Arrays of betas in one cluster. 

    +

    616 If a detector was selected, or the clustering algorythm has its 

    +

    617 own outlier detection, the first entry in the list will be oultier betas 

    +

    618 id_clusters: list 

    +

    619 List containing lists of beta ids. Each id corresponds to the beta in 

    +

    620 the same place in the beta_clusters list 

    +

    621 err_msg: str 

    +

    622 Error message if wrong keywords for detector or cluster algorithms were used 

    +

    623 

    +

    624 Notes 

    +

    625 -------- 

    +

    626 document_algorithm: 

    +

    627 Prints docstring of each function into console 

    +

    628 list_detectors_and_clusters: 

    +

    629 Prints out all detection and clustering algorythms into console 

    +

    630 Sklearn Userguide chapter 2.3 Clustering: 

    +

    631 https://scikit-learn.org/stable/modules/clustering.html 

    +

    632 Detailed overview of different clustering algorythms 

    +

    633 Sklearn Examples outlier detection: 

    +

    634 https://scikit-learn.org/stable/auto_examples/plot_anomaly_comparison.html 

    +

    635 Example of different used outlier detection algorythms 

    +

    636 """ 

    +

    637 

    +

    638 # pylint: disable = too-many-arguments, too-many-locals, too-many-branches 

    +

    639 

    +

    640 if cluster_params is None: 

    +

    641 cluster_params = {} 

    +

    642 

    +

    643 if detector_params is None: 

    +

    644 detector_params = {} 

    +

    645 

    +

    646 beta_clusters = [] 

    +

    647 id_clusters = [] 

    +

    648 

    +

    649 if scale_betas: 

    +

    650 betas, _ = __rescale_betas(betas) 

    +

    651 

    +

    652 if detector == "Experimental": 

    +

    653 

    +

    654 experimental_results = __detector_dict[detector](betas, beta_index, **detector_params) 

    +

    655 if not isinstance(experimental_results, bool): 

    +

    656 outlier_betas, outlier_index, inlier_index = experimental_results 

    +

    657 beta_clusters.append(betas[outlier_index]) 

    +

    658 id_clusters.append(outlier_betas.tolist()) 

    +

    659 betas = betas[inlier_index] 

    +

    660 beta_index = beta_index[inlier_index] 

    +

    661 else: 

    +

    662 empy_list = [] 

    +

    663 beta_clusters.append(empy_list) 

    +

    664 id_clusters.append(empy_list) 

    +

    665 

    +

    666 detector = None 

    +

    667 

    +

    668 if detector is not None: 

    +

    669 try: 

    +

    670 betas_det, index_det = __detector_dict[detector]( 

    +

    671 betas, beta_index, beta_clusters, id_clusters, **detector_params 

    +

    672 ) 

    +

    673 

    +

    674 except TypeError as key_err: 

    +

    675 err_msg = ( 

    +

    676 f"During Outlier Detection, a TypeError came up:\n{str(key_err)}\n" 

    +

    677 "Please check your outlier detection arguments" 

    +

    678 ) 

    +

    679 return err_msg 

    +

    680 

    +

    681 except ValueError as val_err: 

    +

    682 err_msg = ( 

    +

    683 f"During Outlier Detection, a ValueError came up:\n{str(val_err)}\n" 

    +

    684 "Please check your outlier detection arguments" 

    +

    685 ) 

    +

    686 return err_msg 

    +

    687 else: 

    +

    688 betas_det, index_det = betas, beta_index 

    +

    689 

    +

    690 if cluster is not None: 

    +

    691 try: 

    +

    692 __cluster_dict[cluster]( 

    +

    693 betas_det, index_det, beta_clusters, id_clusters, **cluster_params 

    +

    694 ) 

    +

    695 except TypeError as key_err: 

    +

    696 err_msg = ( 

    +

    697 f"During Clustering, a TypeError came up:\n{str(key_err)}\n" 

    +

    698 "Please check your outlier detection arguments" 

    +

    699 ) 

    +

    700 return err_msg 

    +

    701 

    +

    702 except ValueError as val_err: 

    +

    703 err_msg = ( 

    +

    704 f"During Clustering, a ValueError came up:\n{str(val_err)}\n" 

    +

    705 "Please check your outlier detection arguments" 

    +

    706 ) 

    +

    707 return err_msg 

    +

    708 else: 

    +

    709 beta_clusters, id_clusters = [*beta_clusters, betas_det], [*id_clusters, index_det] 

    +

    710 

    +

    711 return beta_clusters, id_clusters 

    +
    + + + diff --git a/coverage/d_ec83283597faf9de_html_str_eles_py.html b/coverage/d_ec83283597faf9de_html_str_eles_py.html new file mode 100644 index 0000000..cab1a29 --- /dev/null +++ b/coverage/d_ec83283597faf9de_html_str_eles_py.html @@ -0,0 +1,915 @@ + + + + + Coverage for lasso/dimred/svd/html_str_eles.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/dimred/svd/html_str_eles.py: + 100% +

    + +

    + 4 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1OVERHEAD_STRING = """ 

    +

    2<html> 

    +

    3 <title>3D Beta Embedding</title> 

    +

    4<head> 

    +

    5 <meta charset="utf-8"> 

    +

    6 <style> 

    +

    7 :root{--background:#cfd8dc;--menue-background:#ffffff;--menue-option-background:#ffffff;--menue-option-text-color:#000000;--menue-option-active:#e2f0fb;--content-background:#ffffff;--content-border:1px solid #9ea7aa;--content-shadow:0 4px 8px 0 rgba(0, 0, 0, 0.2),0 6px 20px 0 rgba(0, 0, 0, 0.19);--plot-option-color:#455a64}body{font-family:Lato,sans-serif;background-color:var(--background)}.inputHidden{padding:0;width:0;height:0;display:none;transition:1s}.inputSelected{padding:0 8px 8px 16px;padding-top:15px;display:block;overflow:auto;transition:1s}.menuOption{padding:8px 8px 8px 32px;background-color:var(--menue-option-background)}.navClosed{margin-top:15px;position:fixed;left:1%;transition:.2s;display:flex;min-height:100vh}.navOpen{margin-top:15px;position:fixed;transition:.2s;display:flex;min-height:100vh}.sidenav{height:100%;width:0;position:fixed;z-index:1;top:0;left:0;background-color:var(--menue-background);overflow-x:hidden;transition:.2s;padding-top:60px}.sidenav a{text-decoration:none;font-size:20px;color:var(--menue-option-text-color);display:block;opacity:.7;cursor:pointer}.slider{-webkit-appearance:none;width:90%;background:#137a94;height:5px;border-radius:5px;outline:0}.slider:hover{box-shadow:0 0 .5px .5px #2dceda}.slider::-webkit-slider-thumb{-webkit-appearance:none;appearance:none;width:15px;height:15px;background:#137a94;border-radius:20px;cursor:pointer}.slider::-moz-range-thumb{width:15px;height:15px;background:#137a94;border-radius:20px;cursor:pointer}.sidenav input[type=text]{background-color:var(--menue-background);border-color:#137a94;width:100%}input[type=text]:focus{outline:1px solid #1995b4}.sidenav a:hover{opacity:.9;background-color:var(--menue-option-active)}.sidenav .closebtn{position:absolute;top:0;right:10px;font-size:36px;margin-left:50px;z-index:100}.plotDiv{border-radius:5px;box-shadow:var(--content-shadow);border:var(--content-border);position:relative;background-color:var(--content-background)}.plotDiv p{position:absolute;top:5px;right:15px}#plotOptions{position:absolute;top:5px;left:15px;font-size:30px;cursor:pointer}#downloadPlot{position:absolute;left:0;color:var(--plot-option-color);text-decoration:underline;text-decoration-thickness:3px;text-underline-offset:5px}#resetPlot{position:absolute;margin-left:30px;color:var(--plot-option-color);font-size:35px}#sizeDrag{cursor:col-resize;width:2%}#dragLineDiv{width:0;border:var(--content-border);margin-left:45%;margin-right:49%}.imgDiv{border-radius:5px;box-shadow:var(--content-shadow);border:var(--content-border);display:flex;justify-content:center;align-items:center;background-color:var(--content-background)}.alignedIMG{width:99%;height:auto}.imgDiv :is(p,h2){margin-top:0;padding-left:15px;display:inline-block;vertical-align:middle}.noImgDescr{position:relative;display:none}.traceContainerClass{float:left;padding-bottom:5px}.traceContainerClass :is(p,canvas){float:left}.traceContainerClass p{font-size:16px;padding-left:5px;padding-right:50px;color:var(--menue-option-text-color);margin-top:15px;opacity:.7}.traceContainerClass p:hover{opacity:.9}.traceContainerClass canvas{border-radius:24px;margin-bottom:15px;margin-top:5px}.traceContainerClass canvas:hover{box-shadow:0 0 3px 2px #12678f;transition:.4s}.colorwheel{border-radius:128px!important;border-color:#f1f1f1;position:relative;z-index:10;top:0;left:0} 

    +

    8 </style> 

    +

    9</head> 

    +

    10<body onresize="resizeContents()"> 

    +

    11 <div id="mySidenav" class="sidenav"> 

    +

    12 <a href="javascript:void(0)" class="closebtn" onclick="closeNav()">&times;</a> 

    +

    13 <div class="menuOption"> 

    +

    14 <a href="#" id="imgDirBtn" onclick="showInputField('imgDirDiv', 'imgDirBtn')">Image Directory</a> 

    +

    15 <div id="imgDirDiv" class="inputHidden"> 

    +

    16 <input id="imageDir" type="text" onchange="updateIMGPath(event)" 

    +

    17 placeholder="Enter path to img directory"> 

    +

    18 </div> 

    +

    19 </div> 

    +

    20 <div class="menuOption"> 

    +

    21 <a href="#" id="imgEndBtn" onclick="showInputField('imgEndDiv', 'imgEndBtn')">Image Filetype</a> 

    +

    22 <div id="imgEndDiv" class="inputHidden"> 

    +

    23 <input id="imageEnd" type="text" onchange="updateIMGEnd(event)" 

    +

    24 placeholder="Enter img type ending"> 

    +

    25 </div> 

    +

    26 </div> 

    +

    27 <div class="menuOption"> 

    +

    28 <a href="#" id="pointSliderBtn" onclick="showInputField('sliderDiv', 'pointSliderBtn')">Point Size</a> 

    +

    29 <div id="sliderDiv" class="inputHidden"><input id="slider_pt_size" type="range" class="slider"></div> 

    +

    30 </div> 

    +

    31 <div class="menuOption"> 

    +

    32 <a href="#" id="borderSliderBtn" onclick="showInputField('borderSliderDiv', 'borderSliderBtn')">Border Size</a> 

    +

    33 <div id="borderSliderDiv" class="inputHidden"><input id="slider_border_size" type="range" class="slider"></div> 

    +

    34 </div> 

    +

    35 <div class="menuOption"> 

    +

    36 <a href="#" id="traceColorBtn" onclick="showInputField('traceColorDiv', 'traceColorBtn')">Point Color</a> 

    +

    37 <div id="traceColorDiv" class="inputHidden"></div> 

    +

    38 </div> 

    +

    39 <?xml version="1.0" encoding="UTF-8" standalone="no"?> 

    +

    40 <svg id="lassoLogo" style="position: absolute; top: 15px; left: 32px;" height="50px" preserveAspectRatio="none" data-name="Ebene 1" version="1.1" viewBox="0 0 171.61 53.835" xmlns="http://www.w3.org/2000/svg" xmlns:cc="http://creativecommons.org/ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:xlink="http://www.w3.org/1999/xlink"> 

    +

    41 <metadata> 

    +

    42 <rdf:RDF> 

    +

    43 <cc:Work rdf:about=""> 

    +

    44 <dc:format>image/svg+xml</dc:format> 

    +

    45 <dc:type rdf:resource="http://purl.org/dc/dcmitype/StillImage"/> 

    +

    46 <dc:title>Zeichenfläche 1</dc:title> 

    +

    47 </cc:Work> 

    +

    48 </rdf:RDF> 

    +

    49 </metadata> 

    +

    50 <defs> 

    +

    51 <style>.cls-1{fill:url(#a);}.cls-2{fill:#328ccc;}</style> 

    +

    52 <linearGradient id="a" x1="55.32" x2="149.78" y1="73.4" y2="-21.07" gradientTransform="translate(-12 -.18)" gradientUnits="userSpaceOnUse"> 

    +

    53 <stop stop-color="#006eb7" offset="0"/> 

    +

    54 <stop stop-color="#1178be" offset=".26"/> 

    +

    55 <stop stop-color="#2987c8" offset=".72"/> 

    +

    56 <stop stop-color="#328ccc" offset="1"/> 

    +

    57 </linearGradient> 

    +

    58 <linearGradient id="b" x1="55.32" x2="149.78" y1="73.4" y2="-21.07" gradientTransform="translate(-21,-9.18)" gradientUnits="userSpaceOnUse" xlink:href="#a"/> 

    +

    59 </defs> 

    +

    60 <title>Zeichenfläche 1</title> 

    +

    61 <path class="cls-1" d="m153 1h-38.39-40.2a8.5 8.5 0 1 0 0 17h4.94a7.09 7.09 0 0 1 0 14.17h-39.53a2.5 2.5 0 1 1 0-5h12a3.89 3.89 0 0 0 3.65-5.22l-6.22-17.13a5.64 5.64 0 0 0-10.62 0l-8.95 24.59a4.25 4.25 0 0 1-4 2.8h-17.62a4.25 4.25 0 0 1-4.23-4.25v-26.92h-2.83v26.92a7.08 7.08 0 0 0 7.06 7.08h17.65a7.08 7.08 0 0 0 6.64-4.66l8.95-24.64a2.82 2.82 0 0 1 5.3 0l6.23 17.26a1.07 1.07 0 0 1-1 1.43h-12a5.31 5.31 0 0 0 0 10.62h74.82a9.915 9.915 0 0 0 0-19.83h-4.94a5.67 5.67 0 1 1 0-11.34h33.93a16.92 16.92 0 1 0 9.4-2.87zm-43.33 17h4.94a7.09 7.09 0 0 1 0 14.17h-28.4a9.91 9.91 0 0 0-6.9-17h-4.9a5.67 5.67 0 1 1 0-11.34h29a8.49 8.49 0 0 0 6.29 14.17zm43.33 14.17a14.16 14.16 0 0 1-0.77-28.3h0.79a14.17 14.17 0 0 1 0 28.34z" fill="url(#b)"/> 

    +

    62 </svg> 

    +

    63 </div> 

    +

    64 <span style="font-size: 30px; cursor: pointer;" onclick="openNav()">&#9776; <span style="font-size: 25px;">Options</span> 

    +

    65 </span> 

    +

    66 <div id="content" class="navClosed"> 

    +

    67 <div id="plotDiv" class="plotDiv"> 

    +

    68 <p id="plotInfo"></p> 

    +

    69 <div id="plotOptions"> 

    +

    70 <span id="downloadPlot" onclick="downloadPlot()" title="Download Plot as png"><a>&#8595;</a></span> 

    +

    71 <span id="resetPlot" title="Reset Plot"><a onclick="resetRenderer()">&#8634;</a></span> 

    +

    72 </div> 

    +

    73 </div> 

    +

    74 <div id="sizeDrag"> 

    +

    75 <div id="dragLineDiv"></div> 

    +

    76 </div> 

    +

    77 <div id="imgDiv" class="imgDiv"> 

    +

    78 <div><p id="messageP">Hover over points to see the corresponding image </p></div> 

    +

    79 <div style="display: none;"><img id="hoverIMG" class="alignedIMG"></div> 

    +

    80 <div id="noImgDescr" class="noImgDescr"> 

    +

    81 <h2>No Image</h2> 

    +

    82 <br> 

    +

    83 <p>You can set the image directory in the options tab.</p> 

    +

    84 <p>Every image must have a number as name which corresponds to the run id.</p> 

    +

    85 </div> 

    +

    86 </div> 

    +

    87 </div> 

    +

    88""" # noqa: E501 

    +

    89 

    +

    90TRACE_STRING = """ 

    +

    91 {_traceNr_} = 

    +

    92 {{ 

    +

    93 name: '{_name_}', 

    +

    94 color: '{_color_}', 

    +

    95 border: '#555555', 

    +

    96 text: {_runIDs_}, 

    +

    97 x: {_x_}, 

    +

    98 y: {_y_}, 

    +

    99 z: {_z_}, 

    +

    100 vertices: [] 

    +

    101 }}, 

    +

    102""" 

    +

    103 

    +

    104CONST_STRING = """ 

    +

    105 {_three_min_} 

    +

    106 <script> 

    +

    107 path = "{_path_str_}" 

    +

    108 imgType = "png" 

    +

    109 const runIDs = {_runIdEntries_} 

    +

    110""" 

    +

    111 

    +

    112SCRIPT_STRING = """ 

    +

    113 const pointSlider = document.getElementById("slider_pt_size") 

    +

    114 const borderSlider = document.getElementById("slider_border_size") 

    +

    115 const plotDiv = document.getElementById("plotDiv") 

    +

    116 const imgDiv = document.getElementById("imgDiv") 

    +

    117 const drag = document.getElementById("sizeDrag") 

    +

    118 

    +

    119 let plotDivMult = 0.7 

    +

    120 let sideNavWidthMult = 0.15 

    +

    121 

    +

    122 const camera = new THREE.PerspectiveCamera(40, 2, 0.1, 10000)//(fov, aspect, near, far); 

    +

    123 const cameraStartZ = 500 

    +

    124 camera.position.z = cameraStartZ 

    +

    125 

    +

    126 const renderer = new THREE.WebGLRenderer({alpha: true, preserveDrawingBuffer: true}) 

    +

    127 

    +

    128 const scene = new THREE.Scene() 

    +

    129 const renderObjects = new THREE.Group() 

    +

    130 const centeredGroup = new THREE.Group() 

    +

    131 centeredGroup.add(renderObjects) 

    +

    132 scene.add(centeredGroup) 

    +

    133 

    +

    134 

    +

    135 

    +

    136 mouseProps = { 

    +

    137 start_x : 0, 

    +

    138 start_y : 0, 

    +

    139 is_middle_down : false, 

    +

    140 is_left_down : false, 

    +

    141 is_right_down : false, 

    +

    142 } 

    +

    143 

    +

    144 const dragFunc = (e) => { 

    +

    145 

    +

    146 let widthModi = parseFloat(document.getElementById("mySidenav").style.width) 

    +

    147 let userWidth = window.innerWidth - widthModi 

    +

    148 

    +

    149 const startWidth = parseFloat(plotDiv.style.width) 

    +

    150 document.selection ? document.selection.empty() : window.getSelection().removeAllRanges() 

    +

    151 const newPlotWidth = (e.pageX - drag.offsetWidth / 2 - widthModi) 

    +

    152 

    +

    153 const newPlotDivMult = newPlotWidth / userWidth 

    +

    154 

    +

    155 if(!(newPlotDivMult < 0.1) && !(newPlotDivMult > 0.9)) { 

    +

    156 plotDivMult = newPlotDivMult 

    +

    157 resizeContents() 

    +

    158 } 

    +

    159 } 

    +

    160 

    +

    161 function initDocument(){ 

    +

    162 pointSlider.min = 5 

    +

    163 pointSlider.max = 35 

    +

    164 pointSlider.step = 1 

    +

    165 pointSlider.value = 20 

    +

    166 

    +

    167 borderSlider.min = 1 

    +

    168 borderSlider.max = 10 

    +

    169 borderSlider.step = 1 

    +

    170 borderSlider.value = 3 

    +

    171 

    +

    172 document.getElementById("mySidenav").style.width = 0 

    +

    173 

    +

    174 const plotDivWidth = window.innerWidth * plotDivMult 

    +

    175 const imgDivWidth = window.innerWidth * (1 - plotDivMult - 0.02) 

    +

    176 

    +

    177 plotDiv.style.width = plotDivWidth 

    +

    178 imgDiv.style.width = imgDivWidth 

    +

    179 

    +

    180 plotDiv.style.height = 0.9 * window.innerHeight 

    +

    181 imgDiv.style.height = 0.9 * window.innerHeight 

    +

    182 drag.children[0].style.height = parseFloat(plotDiv.style.height) 

    +

    183 

    +

    184 renderer.setSize(plotDivWidth, Math.min(0.9*window.innerHeight, plotDivWidth), false) 

    +

    185 plotDiv.appendChild(renderer.domElement) 

    +

    186 

    +

    187 if(path !== ""){ 

    +

    188 document.getElementById("imageDir").value = path 

    +

    189 } 

    +

    190 document.getElementById("imageEnd").value = imgType 

    +

    191 

    +

    192 drag.addEventListener("mousedown", () => { 

    +

    193 document.addEventListener("mousemove", dragFunc) 

    +

    194 }) 

    +

    195 document.addEventListener("mouseup", () => { 

    +

    196 document.removeEventListener("mousemove", dragFunc) 

    +

    197 }) 

    +

    198 traceList.forEach(trace =>{ 

    +

    199 for (let n=0; n < trace.x.length; n++){ 

    +

    200 trace.vertices.push(trace.x[n], trace.y[n], trace.z[n]) 

    +

    201 } 

    +

    202 }) 

    +

    203 } 

    +

    204 

    +

    205 function resizeContents(){ 

    +

    206 const sideNav = document.getElementById("mySidenav") 

    +

    207 if(plotDiv.parentElement.className === "navOpen"){ 

    +

    208 sideNav.style.width = Math.min(250, window.innerWidth*sideNavWidthMult) + "px"; 

    +

    209 document.getElementById("lassoLogo").style.width = parseFloat(sideNav.style.width) * 0.6 - 30 

    +

    210 } 

    +

    211 

    +

    212 let sideNavWidth = parseFloat(sideNav.style.width) 

    +

    213 let userWidth = window.innerWidth - sideNavWidth 

    +

    214 let contentBound = window.innerWidth * 0.01 

    +

    215 

    +

    216 plotDiv.parentElement.style.left = sideNavWidth + contentBound 

    +

    217 plotDiv.style.width = userWidth * plotDivMult + 'px' 

    +

    218 imgDiv.style.width = userWidth * (1-plotDivMult) - 2*contentBound + 'px'; 

    +

    219 plotDiv.style.height = 0.9 * window.innerHeight 

    +

    220 imgDiv.style.height = 0.9 * window.innerHeight 

    +

    221 plotDiv.removeChild(renderer.domElement) 

    +

    222 renderer.setSize(userWidth*plotDivMult, Math.min(0.9*window.innerHeight, userWidth*plotDivMult), false) 

    +

    223 plotDiv.appendChild(renderer.domElement) 

    +

    224 drag.children[0].style.height = parseFloat(plotDiv.style.height) 

    +

    225 } 

    +

    226 

    +

    227 function openNav(){ 

    +

    228 const sideNav = document.getElementById("mySidenav") 

    +

    229 sideNav.style.boxShadow = "var(--content-shadow)" 

    +

    230 document.getElementById("content").setAttribute("class", "navOpen"); 

    +

    231 resizeContents() 

    +

    232 } 

    +

    233 function closeNav(){ 

    +

    234 const sideNav = document.getElementById("mySidenav") 

    +

    235 sideNav.style.width = "0"; 

    +

    236 sideNav.style.boxShadow = "" 

    +

    237 document.getElementById("content").setAttribute("class", "navClosed"); 

    +

    238 hideAll(); 

    +

    239 resizeContents(); 

    +

    240 } 

    +

    241 

    +

    242 function showInputField(div, aClicked){ 

    +

    243 hideAll() 

    +

    244 document.getElementById(div).setAttribute("class", "inputSelected") 

    +

    245 document.getElementById(aClicked).setAttribute("onclick", `hideInputField('${div}', '${aClicked}')`) 

    +

    246 document.getElementById(aClicked).style.background = "var(--menue-option-active)" 

    +

    247 } 

    +

    248 

    +

    249 function hideInputField(div, aClicked){ 

    +

    250 document.getElementById(div).setAttribute("class", "inputHidden") 

    +

    251 document.getElementById(aClicked).setAttribute("onclick", `showInputField('${div}', '${aClicked}')`) 

    +

    252 document.getElementById(aClicked).style.background = "var(--menue-option-background)" 

    +

    253 } 

    +

    254 

    +

    255 function hideAll(){ 

    +

    256 document.getElementById("sliderDiv").setAttribute('class', 'inputHidden') 

    +

    257 document.getElementById("imgDirDiv").setAttribute('class', 'inputHidden') 

    +

    258 document.getElementById("imgEndDiv").setAttribute('class', 'inputHidden') 

    +

    259 document.getElementById("traceColorDiv").setAttribute('class', 'inputHidden') 

    +

    260 document.getElementById("borderSliderDiv").setAttribute('class', 'inputHidden') 

    +

    261 document.getElementById("pointSliderBtn").setAttribute("onclick", "showInputField('sliderDiv', 'pointSliderBtn')") 

    +

    262 document.getElementById("imgDirBtn").setAttribute("onclick", "showInputField('imgDirDiv', 'imgDirBtn')") 

    +

    263 document.getElementById("imgEndBtn").setAttribute("onclick", "showInputField('imgEndDiv', 'imgEndBtn')") 

    +

    264 document.getElementById("traceColorBtn").setAttribute("onclick", "showInputField('traceColorDiv', 'traceColorBtn')") 

    +

    265 document.getElementById("borderSliderBtn").setAttribute("onclick", "showInputField('borderSliderDiv','borderSliderBtn')") 

    +

    266 Array.from(document.getElementById("mySidenav").children).forEach(node => { 

    +

    267 if(node.childElementCount > 0){ 

    +

    268 node.children[0].style.background = "var(--menue-option-background)" 

    +

    269 } 

    +

    270 }) 

    +

    271 } 

    +

    272 

    +

    273 let mouseDownInWheel = false 

    +

    274 let colorWheelActive = false 

    +

    275 

    +

    276 document.addEventListener('mousedown', function(event){ 

    +

    277 if (!(event.target.id.slice(0, 5) === "color")){ 

    +

    278 if(colorWheelActive){ 

    +

    279 document.getElementById("colorwheel").remove() 

    +

    280 colorWheelActive = false 

    +

    281 } 

    +

    282 } 

    +

    283 }) 

    +

    284 

    +

    285 function openWheel(event){ 

    +

    286 if(colorWheelActive){ 

    +

    287 document.getElementById("colorwheel").remove() 

    +

    288 } 

    +

    289 const traceId = parseInt(event.target.id.slice(-1)) 

    +

    290 const wheel = makeWheel(128) 

    +

    291 wheel.className = "colorwheel" 

    +

    292 wheel.id = "colorwheel" 

    +

    293 wheel.addEventListener('mousedown', function(event){ 

    +

    294 mouseDownInWheel = true 

    +

    295 let wheelCanvas = this 

    +

    296 updateMarkerColor(event, wheelCanvas) 

    +

    297 }) 

    +

    298 wheel.addEventListener('mousemove', function(event){ 

    +

    299 let wheelCanvas = this 

    +

    300 updateMarkerColor(event, wheelCanvas) 

    +

    301 }) 

    +

    302 wheel.addEventListener('mouseup', removeColorWheel) 

    +

    303 wheel.addEventListener('mouseout', removeColorWheel) 

    +

    304 event.target.parentElement.appendChild(wheel) 

    +

    305 colorWheelActive = true 

    +

    306 } 

    +

    307 

    +

    308 function updateMarkerColor(event, wheelCanvas){ 

    +

    309 if (mouseDownInWheel) { 

    +

    310 let traceID = parseInt(event.target.parentElement.id.slice(-1)) ? parseInt(event.target.parentElement.id.slice(-1)) : 0 

    +

    311 console.log(traceID) 

    +

    312 let targetTrace = traceList[traceID] 

    +

    313 let wheelCtx = wheelCanvas.getContext('2d') 

    +

    314 let data = wheelCtx.getImageData(event.offsetX, event.offsetY, 1, 1).data 

    +

    315 let rgba = 'rgba(' + data[0] + ',' + data[1] + 

    +

    316 ',' + data[2] + ',' + (data[3] / 255) + ')' 

    +

    317 targetTrace.color = rgba 

    +

    318 const markerSize = document.getElementById("slider_pt_size").value 

    +

    319 const borderSize = document.getElementById("slider_border_size").value 

    +

    320 // renderObjects.children = [] 

    +

    321 const targetCanvas = event.target.parentElement.children[0] 

    +

    322 createMarker(16, 3, rgba, targetTrace.border, targetCanvas) 

    +

    323 // traceList.forEach(trace => { 

    +

    324 // addPoints(trace, markerSize, borderSize) 

    +

    325 // }) 

    +

    326 const newTexture = createMarker(markerSize, borderSize, rgba, targetTrace.border,document.createElement("canvas")) 

    +

    327 renderObjects.children[traceID].material.map.image = newTexture 

    +

    328 renderObjects.children[traceID].material.map.needsUpdate = true 

    +

    329 

    +

    330 

    +

    331 } 

    +

    332 } 

    +

    333 

    +

    334 function removeColorWheel(event){ 

    +

    335 if(mouseDownInWheel){ 

    +

    336 mouseDownInWheel = false 

    +

    337 let wheelCanvas = this 

    +

    338 this.remove() 

    +

    339 colorWheelActive = false 

    +

    340 } 

    +

    341 } 

    +

    342 

    +

    343 function updateIMGPath(){ 

    +

    344 path = document.getElementById("imageDir").value 

    +

    345 } 

    +

    346 

    +

    347 function updateIMGEnd(){ 

    +

    348 imgType = document.getElementById("imageEnd").value 

    +

    349 } 

    +

    350 

    +

    351 function createMarker(radius, boundary, color, border, canv){ 

    +

    352 

    +

    353 const ctx = canv.getContext('2d') 

    +

    354 ctx.canvas.height = radius * 2 + 10 

    +

    355 ctx.canvas.width = radius * 2 + 10 

    +

    356 ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height) 

    +

    357 ctx.beginPath(); 

    +

    358 ctx.arc(ctx.canvas.width / 2, ctx.canvas.height / 2, radius, 0, Math.PI * 2) 

    +

    359 ctx.fillStyle = color 

    +

    360 ctx.fill() 

    +

    361 ctx.beginPath(); 

    +

    362 ctx.arc(ctx.canvas.width / 2, ctx.canvas.height / 2, radius, 0, Math.PI * 2) 

    +

    363 ctx.strokeStyle = border 

    +

    364 ctx.lineWidth = boundary 

    +

    365 ctx.stroke() 

    +

    366 

    +

    367 return ctx.canvas 

    +

    368 } 

    +

    369 

    +

    370 function createHoverPoint(point, color) { 

    +

    371 const radius = parseFloat(document.getElementById("slider_pt_size").value)+1 

    +

    372 const outerRadius = radius+1+Math.floor(2*radius/3) 

    +

    373 vertices=[] 

    +

    374 vertices.push(point.x, point.y, point.z) 

    +

    375 

    +

    376 var geometry = new THREE.BufferGeometry() 

    +

    377 

    +

    378 const canv = document.createElement("canvas") 

    +

    379 canv.width = 2 * outerRadius 

    +

    380 canv.height = 2 * outerRadius 

    +

    381 const ctx = canv.getContext('2d') 

    +

    382 const grd = ctx.createRadialGradient(canv.width/2, canv.height/2, 0.5 * radius, canv.width/2, canv.height/2, outerRadius) 

    +

    383 grd.addColorStop(0, color) 

    +

    384 grd.addColorStop(1, "transparent") 

    +

    385 ctx.fillStyle = grd 

    +

    386 ctx.fillRect(0, 0, 2*(outerRadius)+10, 2*(outerRadius)+10) 

    +

    387 

    +

    388 const texture = new THREE.CanvasTexture(ctx.canvas) 

    +

    389 geometry.setAttribute('position', new THREE.Float32BufferAttribute(vertices, 3)) 

    +

    390 material = new THREE.PointsMaterial({size: outerRadius, sizeAttenuation: false, map: texture, alphaTest: 0.5, transparent: true}) 

    +

    391 var particle = new THREE.Points(geometry, material) 

    +

    392 return particle 

    +

    393 } 

    +

    394 

    +

    395 function addPoints(trace, radius, boundary){ 

    +

    396 

    +

    397 var geometry = new THREE.BufferGeometry(); 

    +

    398 

    +

    399 const newCanv = document.createElement("canvas") 

    +

    400 const texture = new THREE.CanvasTexture(createMarker(radius, boundary, trace.color, trace.border, newCanv)) 

    +

    401 

    +

    402 geometry.setAttribute('position', new THREE.Float32BufferAttribute(trace.vertices, 3)) 

    +

    403 material = new THREE.PointsMaterial({ size: radius, sizeAttenuation: false, map: texture, alphaTest: 0.5, transparent: true }) 

    +

    404 var particles = new THREE.Points(geometry, material) 

    +

    405 particles.name = trace.name 

    +

    406 renderObjects.add(particles) 

    +

    407 renderer.render(scene, camera) 

    +

    408 } 

    +

    409 

    +

    410 

    +

    411 let hsv2rgb = function(hsv) { 

    +

    412 let h = hsv.hue, s = hsv.sat, v = hsv.val; 

    +

    413 let rgb, i, data = []; 

    +

    414 if (s === 0) { 

    +

    415 rgb = [v,v,v]; 

    +

    416 } else { 

    +

    417 h = h / 60; 

    +

    418 i = Math.floor(h); 

    +

    419 data = [v*(1-s), v*(1-s*(h-i)), v*(1-s*(1-(h-i)))]; 

    +

    420 switch(i) { 

    +

    421 case 0: 

    +

    422 rgb = [v, data[2], data[0]]; 

    +

    423 break; 

    +

    424 case 1: 

    +

    425 rgb = [data[1], v, data[0]]; 

    +

    426 break; 

    +

    427 case 2: 

    +

    428 rgb = [data[0], v, data[2]]; 

    +

    429 break; 

    +

    430 case 3: 

    +

    431 rgb = [data[0], data[1], v]; 

    +

    432 break; 

    +

    433 case 4: 

    +

    434 rgb = [data[2], data[0], v]; 

    +

    435 break; 

    +

    436 default: 

    +

    437 rgb = [v, data[0], data[1]]; 

    +

    438 break; 

    +

    439 } 

    +

    440 } 

    +

    441 return rgb; 

    +

    442 }; 

    +

    443 

    +

    444 function clamp(min, max, val) 

    +

    445 { 

    +

    446 if (val < min) return min; 

    +

    447 if (val > max) return max; 

    +

    448 return val; 

    +

    449 } 

    +

    450 

    +

    451 function makeWheel(diameter) 

    +

    452 { 

    +

    453 let can = document.createElement('canvas'); 

    +

    454 let ctx = can.getContext('2d'); 

    +

    455 const divisor = 1.8 // how "zoomed in" the colorwheel is 

    +

    456 can.width = diameter; 

    +

    457 can.height = diameter; 

    +

    458 let imgData = ctx.getImageData(0,0,diameter,diameter); 

    +

    459 let maxRange = diameter / divisor; 

    +

    460 for (let y=0; y<diameter; y++) { 

    +

    461 for (let x=0; x<diameter; x++) { 

    +

    462 let xPos = x - (diameter/2); 

    +

    463 let yPos = (diameter-y) - (diameter/2); 

    +

    464 

    +

    465 let polar = pos2polar( {x:xPos, y:yPos} ); 

    +

    466 let sat = clamp(0,1,polar.len / ((maxRange/2))); 

    +

    467 let val = clamp(0,1, (maxRange-polar.len) / (maxRange/2) ); 

    +

    468 

    +

    469 let rgb = hsv2rgb( {hue:polar.ang, sat:sat, val:val} ); 

    +

    470 

    +

    471 let index = 4 * (x + y*diameter); 

    +

    472 imgData.data[index + 0] = rgb[0]*255; 

    +

    473 imgData.data[index + 1] = rgb[1]*255; 

    +

    474 imgData.data[index + 2] = rgb[2]*255; 

    +

    475 imgData.data[index + 3] = 255; 

    +

    476 } 

    +

    477 } 

    +

    478 ctx.putImageData(imgData, 0,0); 

    +

    479 return can; 

    +

    480 } 

    +

    481 

    +

    482 function rad2deg(rad) 

    +

    483 { 

    +

    484 return (rad / (Math.PI * 2)) * 360; 

    +

    485 } 

    +

    486 

    +

    487 function pos2polar(inPos) 

    +

    488 { 

    +

    489 let vecLen = Math.sqrt( inPos.x*inPos.x + inPos.y*inPos.y ); 

    +

    490 let something = Math.atan2(inPos.y,inPos.x); 

    +

    491 while (something < 0) 

    +

    492 something += 2*Math.PI; 

    +

    493 

    +

    494 return { ang: rad2deg(something), len: vecLen }; 

    +

    495 } 

    +

    496 

    +

    497 function downloadPlot(){ 

    +

    498 let downloadLink = document.createElement('a'); 

    +

    499 downloadLink.setAttribute('download', 'PointEmbedding.png'); 

    +

    500 let canvas = renderer.domElement; 

    +

    501 let dataURL = canvas.toDataURL('image/png'); 

    +

    502 let url = dataURL.replace(/^data:image\\/png/,'data:application/octet-stream'); 

    +

    503 downloadLink.setAttribute('href',url); 

    +

    504 downloadLink.click(); 

    +

    505 } 

    +

    506 

    +

    507 initDocument() 

    +

    508 

    +

    509 traceList.forEach(trace =>{ 

    +

    510 const traceDiv = document.getElementById('traceColorDiv') 

    +

    511 const borderDiv = document.getElementById('borderColorDiv') 

    +

    512 const traceContainDiv = document.createElement('div') 

    +

    513 const traceMarkCanvas = createMarker(16, 3, trace.color, trace.border, document.createElement("canvas")) 

    +

    514 const borderContainDiv = document.createElement('div') 

    +

    515 const borderMarkCanvas = createMarker(16, 3, trace.color, trace.border, document.createElement("canvas")) 

    +

    516 const traceMarkName = document.createElement('p') 

    +

    517 traceMarkName.innerHTML = trace.name 

    +

    518 traceContainDiv.id = "contain" + trace.name 

    +

    519 traceMarkCanvas.id = "color" + trace.name 

    +

    520 traceMarkCanvas.addEventListener('mousedown', openWheel) 

    +

    521 traceDiv.appendChild(traceContainDiv) 

    +

    522 traceContainDiv.appendChild(traceMarkCanvas) 

    +

    523 traceContainDiv.appendChild(traceMarkName) 

    +

    524 traceContainDiv.setAttribute("class", "traceContainerClass") 

    +

    525 

    +

    526 addPoints(trace, pointSlider.value, borderSlider.value) 

    +

    527 }) 

    +

    528 

    +

    529 const box = new THREE.BoxHelper(renderObjects) 

    +

    530 

    +

    531 function moveObjectsToBoundingBoxCenter(box) { 

    +

    532 

    +

    533 const positions = box.geometry.attributes.position.array 

    +

    534 let xValue = 0 

    +

    535 let yValue = 0 

    +

    536 let zValue = 0 

    +

    537 positions.forEach((pos, ind) => { 

    +

    538 switch(ind%3){ 

    +

    539 case 0: 

    +

    540 xValue += pos 

    +

    541 break; 

    +

    542 case 1: 

    +

    543 yValue += pos 

    +

    544 break; 

    +

    545 case 2: 

    +

    546 zValue += pos 

    +

    547 } 

    +

    548 }) 

    +

    549 renderObjects.translateX(xValue/-8) 

    +

    550 renderObjects.translateY(yValue/-8) 

    +

    551 renderObjects.translateZ(zValue/-8) 

    +

    552 

    +

    553 } 

    +

    554 

    +

    555 moveObjectsToBoundingBoxCenter(box) 

    +

    556 

    +

    557 pointSlider.oninput = event => { 

    +

    558 const marker_size = parseFloat(event.target.value) 

    +

    559 renderObjects.children = [] 

    +

    560 traceList.forEach(trace =>{ 

    +

    561 addPoints(trace, marker_size, borderSlider.value) 

    +

    562 }) 

    +

    563 } 

    +

    564 

    +

    565 borderSlider.oninput = event => { 

    +

    566 const marker_border = parseFloat(event.target.value) 

    +

    567 renderObjects.children = [] 

    +

    568 traceList.forEach(trace => { 

    +

    569 addPoints(trace, pointSlider.value, marker_border) 

    +

    570 }) 

    +

    571 } 

    +

    572 

    +

    573 class PickHelper { 

    +

    574 constructor() { 

    +

    575 this.hitIndex = null 

    +

    576 this.pickedObject = null 

    +

    577 } 

    +

    578 pick(normalizedPosition, scene, camera) { 

    +

    579 

    +

    580 // pick depending on point size and scale 

    +

    581 const hitRadius = parseFloat(document.getElementById("slider_pt_size").value) * 0.3 / centeredGroup.scale.x 

    +

    582 const raycaster = new THREE.Raycaster() 

    +

    583 raycaster.params.Points.threshold = hitRadius 

    +

    584 raycaster.setFromCamera(normalizedPosition, camera) 

    +

    585 // get the list of objects the ray intersected 

    +

    586 const intersectedObjects = raycaster.intersectObjects(renderObjects.children) 

    +

    587 

    +

    588 if (intersectedObjects.length) { 

    +

    589 // we pick the first object, as it is the closest 

    +

    590 this.hitIndex = intersectedObjects[0].index 

    +

    591 this.pickedObject = intersectedObjects[0].object 

    +

    592 } else { 

    +

    593 this.hitIndex = null 

    +

    594 this.pickedObject = null 

    +

    595 } 

    +

    596 } 

    +

    597 } 

    +

    598 const pickPosition = {x: 0, y: 0}; 

    +

    599 const pickHelper = new PickHelper(); 

    +

    600 clearPickPosition(); 

    +

    601 

    +

    602 function getCanvasRelativePosition(event) { 

    +

    603 const rect = renderer.domElement.getBoundingClientRect(); 

    +

    604 return { 

    +

    605 x: (event.clientX - rect.left) * renderer.domElement.width / rect.width, 

    +

    606 y: (event.clientY - rect.top ) * renderer.domElement.height / rect.height, 

    +

    607 }; 

    +

    608 } 

    +

    609 function setPickPosition(event) { 

    +

    610 const pos = getCanvasRelativePosition(event); 

    +

    611 pickPosition.x = (pos.x / renderer.domElement.width ) * 2 - 1; 

    +

    612 pickPosition.y = (pos.y / renderer.domElement.height) * -2 + 1; 

    +

    613 } 

    +

    614 

    +

    615 function imageExists(imgPath){ 

    +

    616 let http = new XMLHttpRequest() 

    +

    617 http.open("HEAD", imgPath, false) 

    +

    618 http.send() 

    +

    619 return http.status != 404; 

    +

    620 } 

    +

    621 

    +

    622 const hoverPointInfo = { 

    +

    623 hoverPointSet: false, 

    +

    624 currentTraceIndex: null, 

    +

    625 currentPointIndex: null 

    +

    626 } 

    +

    627 

    +

    628 function resetHoverPointInfo(){ 

    +

    629 hoverPointInfo.hoverPointSet = false, 

    +

    630 hoverPointInfo.currentTraceIndex = null, 

    +

    631 hoverPointInfo.currentPointIndex = null 

    +

    632 } 

    +

    633 

    +

    634 function checkForImageUpdate(){ 

    +

    635 if(pickHelper.pickedObject){ 

    +

    636 // first we select the trace 

    +

    637 let traceIndex 

    +

    638 let validTraceIndex = false 

    +

    639 for(let i = 0; i<traceList.length; i++){ 

    +

    640 if (traceList[i].name === pickHelper.pickedObject.name){ 

    +

    641 traceIndex = i 

    +

    642 i = traceList.length 

    +

    643 validTraceIndex = true 

    +

    644 } 

    +

    645 } 

    +

    646 if(validTraceIndex){ 

    +

    647 document.getElementById("messageP").parentElement.setAttribute("style" , "display:none") 

    +

    648 

    +

    649 const runID = runIDs[traceIndex][pickHelper.hitIndex] 

    +

    650 const img = document.getElementById("hoverIMG") 

    +

    651 img.onerror = function() { 

    +

    652 document.getElementById("noImgDescr").style.display = "block" 

    +

    653 img.parentElement.style.display = "none" 

    +

    654 } 

    +

    655 img.onload = function() { 

    +

    656 document.getElementById("noImgDescr").style.display = "none" 

    +

    657 img.parentElement.style.display = "block" 

    +

    658 } 

    +

    659 img.src = path+`/${runID}.`+imgType 

    +

    660 let infoP = document.getElementById("plotInfo") 

    +

    661 infoP.innerHTML = `${traceList[traceIndex].text[pickHelper.hitIndex]}` 

    +

    662 

    +

    663 if(!hoverPointInfo.hoverPointSet || (hoverPointInfo.currentTraceIndex != traceIndex) || (hoverPointInfo.currentPointIndex != pickHelper.hitIndex)){ 

    +

    664 if(hoverPointInfo.hoverPointSet){ 

    +

    665 renderObjects.children.pop() 

    +

    666 } 

    +

    667 renderObjects.add(createHoverPoint({ 

    +

    668 x: traceList[traceIndex].x[pickHelper.hitIndex], 

    +

    669 y: traceList[traceIndex].y[pickHelper.hitIndex], 

    +

    670 z: traceList[traceIndex].z[pickHelper.hitIndex], 

    +

    671 }, traceList[traceIndex].color)) 

    +

    672 hoverPointInfo.hoverPointSet = true 

    +

    673 hoverPointInfo.currentTraceIndex = traceIndex 

    +

    674 hoverPointInfo.currentPointIndex = pickHelper.hitIndex 

    +

    675 } 

    +

    676 } 

    +

    677 } else if(hoverPointInfo.hoverPointSet){ 

    +

    678 renderObjects.children.pop() 

    +

    679 resetHoverPointInfo() 

    +

    680 } 

    +

    681 } 

    +

    682 

    +

    683 function clearPickPosition() { 

    +

    684 pickPosition.x = -100000; 

    +

    685 pickPosition.y = -100000; 

    +

    686 } 

    +

    687 

    +

    688 function initMouseProps(event) { 

    +

    689 mouseProps.start_x = event.offsetX 

    +

    690 mouseProps.start_y = event.offsetY 

    +

    691 } 

    +

    692 

    +

    693 function mouseClickSelector(event) { 

    +

    694 event.preventDefault() 

    +

    695 if(event.button === 0){ 

    +

    696 mouseProps.is_left_down = true 

    +

    697 initMouseProps(event) 

    +

    698 } else if(event.button === 1){ 

    +

    699 mouseProps.is_middle_down = true 

    +

    700 initMouseProps(event) 

    +

    701 } else if(event.button === 2){ 

    +

    702 mouseProps.is_right_down = true 

    +

    703 initMouseProps(event) 

    +

    704 } 

    +

    705 } 

    +

    706 

    +

    707 function toRadians(angle) { 

    +

    708 return angle * (Math.PI / 180); 

    +

    709 } 

    +

    710 

    +

    711 function dragMouse(e) { 

    +

    712 

    +

    713 let delta_x = e.offsetX - mouseProps.start_x 

    +

    714 let delta_y = e.offsetY - mouseProps.start_y 

    +

    715 mouseProps.start_x = e.offsetX 

    +

    716 mouseProps.start_y = e.offsetY 

    +

    717 

    +

    718 if(mouseProps.is_left_down){ 

    +

    719 // here we rotate around x and y axis 

    +

    720 

    +

    721 var deltaQuaternion = new THREE.Quaternion().setFromEuler( 

    +

    722 new THREE.Euler( toRadians(delta_y), toRadians(delta_x), 0, 'XYZ') 

    +

    723 ) 

    +

    724 centeredGroup.quaternion.multiplyQuaternions(deltaQuaternion, centeredGroup.quaternion) 

    +

    725 

    +

    726 } else if (mouseProps.is_middle_down) { 

    +

    727 // here we rotate around z axis 

    +

    728 

    +

    729 const normPos = getCanvasRelativePosition(event) 

    +

    730 if(normPos.x > parseFloat(plotDiv.style.width) / 2){ 

    +

    731 delta_y *= -1 

    +

    732 } 

    +

    733 if(normPos.y < parseFloat(plotDiv.style.height)/2){ 

    +

    734 delta_x *= -1 

    +

    735 } 

    +

    736 let rotationRate = (delta_x + delta_y) 

    +

    737 

    +

    738 var deltaQuaternion = new THREE.Quaternion().setFromEuler( 

    +

    739 new THREE.Euler( 0, 0, toRadians(rotationRate), 'XYZ') 

    +

    740 ) 

    +

    741 centeredGroup.quaternion.multiplyQuaternions(deltaQuaternion, centeredGroup.quaternion) 

    +

    742 

    +

    743 } else if (mouseProps.is_right_down) { 

    +

    744 centeredGroup.position.x += delta_x 

    +

    745 centeredGroup.position.y -= delta_y 

    +

    746 } 

    +

    747 } 

    +

    748 

    +

    749 function mouseUpHandler(event) { 

    +

    750 if(event.button === 0){ 

    +

    751 mouseProps.is_left_down = false 

    +

    752 } else if(event.button === 1){ 

    +

    753 mouseProps.is_middle_down = false 

    +

    754 } else if(event.button === 2){ 

    +

    755 mouseProps.is_right_down = false 

    +

    756 } 

    +

    757 } 

    +

    758 

    +

    759 

    +

    760 function onMouseScroll(event) { 

    +

    761 event.preventDefault() 

    +

    762 let deltaY = event.deltaY 

    +

    763 let dirMult = 1 

    +

    764 

    +

    765 if(deltaY < 0){ 

    +

    766 deltaY *= -1 

    +

    767 dirMult = -1 

    +

    768 } 

    +

    769 

    +

    770 const newScale = 0.1 * centeredGroup.scale.x * Math.exp(3/-10) 

    +

    771 centeredGroup.scale.addScalar((newScale * dirMult)) 

    +

    772 } 

    +

    773 

    +

    774 function resetMouseProps(event) { 

    +

    775 mouseProps.is_left_down = false 

    +

    776 mouseProps.is_middle_down = false 

    +

    777 mouseProps.is_right_down = false 

    +

    778 } 

    +

    779 

    +

    780 function resetRenderer() { 

    +

    781 centeredGroup.quaternion.set(0, 0, 0, 1) 

    +

    782 centeredGroup.scale.set(1, 1, 1) 

    +

    783 centeredGroup.position.set(0, 0, 0) 

    +

    784 } 

    +

    785 

    +

    786 // events for hover image display 

    +

    787 renderer.domElement.addEventListener('mousemove', setPickPosition); 

    +

    788 renderer.domElement.addEventListener('mouseout', clearPickPosition); 

    +

    789 renderer.domElement.addEventListener('mouseleave', clearPickPosition); 

    +

    790 

    +

    791 //events for screen movement 

    +

    792 plotDiv.addEventListener('mousemove', dragMouse) 

    +

    793 plotDiv.addEventListener('mousedown', mouseClickSelector) 

    +

    794 plotDiv.addEventListener('mouseup', mouseUpHandler) 

    +

    795 plotDiv.addEventListener('wheel', onMouseScroll) 

    +

    796 plotDiv.addEventListener('contextmenu', function(event){ 

    +

    797 event.preventDefault() 

    +

    798 }) 

    +

    799 plotDiv.addEventListener('mouseout', resetMouseProps) 

    +

    800 

    +

    801 window.onresize = () => { 

    +

    802 resizeContents() 

    +

    803 } 

    +

    804 

    +

    805 function action(time){ 

    +

    806 

    +

    807 renderer.render(scene, camera) 

    +

    808 

    +

    809 requestAnimationFrame(action) 

    +

    810 pickHelper.pick(pickPosition, scene, camera); 

    +

    811 checkForImageUpdate() 

    +

    812 } 

    +

    813 

    +

    814 requestAnimationFrame(action) 

    +

    815 </script> 

    +

    816</body> 

    +

    817</html> 

    +

    818""" # noqa: E501 

    +
    + + + diff --git a/coverage/d_ec83283597faf9de_keyword_types_py.html b/coverage/d_ec83283597faf9de_keyword_types_py.html new file mode 100644 index 0000000..95d55dd --- /dev/null +++ b/coverage/d_ec83283597faf9de_keyword_types_py.html @@ -0,0 +1,157 @@ + + + + + Coverage for lasso/dimred/svd/keyword_types.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/dimred/svd/keyword_types.py: + 100% +

    + +

    + 16 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import typing 

    +

    2 

    +

    3 

    +

    4class ClusterType: 

    +

    5 """Specifies names of specific clustering algorithms 

    +

    6 

    +

    7 Attributes 

    +

    8 ---------- 

    +

    9 OPTICS: str 

    +

    10 OPTICS 

    +

    11 DBSCAN: str 

    +

    12 DBSCAN 

    +

    13 KMeans: str 

    +

    14 KMeans 

    +

    15 SpectralClustering: str 

    +

    16 SpectralClustering 

    +

    17 """ 

    +

    18 

    +

    19 OPTICS = "OPTICS" 

    +

    20 DBSCAN = "DBSCAN" 

    +

    21 KMeans = "KMeans" 

    +

    22 SpectralClustering = "SpectralClustering" 

    +

    23 

    +

    24 @staticmethod 

    +

    25 def get_cluster_type_name() -> typing.List[str]: 

    +

    26 """Get the name of the clustering algorithms""" 

    +

    27 return [ 

    +

    28 ClusterType.OPTICS, 

    +

    29 ClusterType.DBSCAN, 

    +

    30 ClusterType.KMeans, 

    +

    31 ClusterType.SpectralClustering, 

    +

    32 ] 

    +

    33 

    +

    34 

    +

    35class DetectorType: 

    +

    36 """Specifies names of different outlier detector algorythms 

    +

    37 

    +

    38 Attributes 

    +

    39 ---------- 

    +

    40 IsolationForest: str 

    +

    41 IsolationForest 

    +

    42 OneClassSVM: str 

    +

    43 OneClassSVM 

    +

    44 LocalOutlierFactor: str 

    +

    45 LocalOutlierFactor 

    +

    46 """ 

    +

    47 

    +

    48 IsolationForest = "IsolationForest" 

    +

    49 OneClassSVM = "OneClassSVM" 

    +

    50 LocalOutlierFactor = "LocalOutlierFactor" 

    +

    51 # Experimental = "Experimental" 

    +

    52 

    +

    53 @staticmethod 

    +

    54 def get_detector_type_name() -> typing.List[str]: 

    +

    55 """Get the name of the detector algorithms""" 

    +

    56 return [ 

    +

    57 DetectorType.IsolationForest, 

    +

    58 DetectorType.OneClassSVM, 

    +

    59 DetectorType.LocalOutlierFactor, 

    +

    60 ] 

    +
    + + + diff --git a/coverage/d_ec83283597faf9de_plot_beta_clusters_py.html b/coverage/d_ec83283597faf9de_plot_beta_clusters_py.html new file mode 100644 index 0000000..40980e1 --- /dev/null +++ b/coverage/d_ec83283597faf9de_plot_beta_clusters_py.html @@ -0,0 +1,269 @@ + + + + + Coverage for lasso/dimred/svd/plot_beta_clusters.py: 66% + + + + + +
    +
    +

    + Coverage for lasso/dimred/svd/plot_beta_clusters.py: + 66% +

    + +

    + 65 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import os 

    +

    2import re 

    +

    3import time 

    +

    4import webbrowser 

    +

    5from typing import Sequence, Union 

    +

    6 

    +

    7import numpy as np 

    +

    8 

    +

    9from lasso.dimred.svd.html_str_eles import ( 

    +

    10 CONST_STRING, 

    +

    11 OVERHEAD_STRING, 

    +

    12 SCRIPT_STRING, 

    +

    13 TRACE_STRING, 

    +

    14) 

    +

    15from lasso.plotting.plot_shell_mesh import _read_file 

    +

    16 

    +

    17 

    +

    18def timestamp() -> str: 

    +

    19 """ 

    +

    20 Creates a timestamp string of format yymmdd_hhmmss_ 

    +

    21 """ 

    +

    22 

    +

    23 def add_zero(in_str) -> str: 

    +

    24 if len(in_str) == 1: 

    +

    25 return "0" + in_str 

    +

    26 return in_str 

    +

    27 

    +

    28 year, month, day, hour, minute, second, _, _, _ = time.localtime() 

    +

    29 y_str = str(year)[2:] 

    +

    30 mo_str = add_zero(str(month)) 

    +

    31 d_str = add_zero(str(day)) 

    +

    32 h_str = add_zero(str(hour)) 

    +

    33 mi_str = add_zero(str(minute)) 

    +

    34 s_str = add_zero(str(second)) 

    +

    35 t_str = y_str + mo_str + d_str + "_" + h_str + mi_str + s_str + "_" 

    +

    36 return t_str 

    +

    37 

    +

    38 

    +

    39# pylint: disable = inconsistent-return-statements 

    +

    40def plot_clusters_js( 

    +

    41 beta_cluster: Sequence, 

    +

    42 id_cluster: Union[np.ndarray, Sequence], 

    +

    43 save_path: str, 

    +

    44 img_path: Union[None, str] = None, 

    +

    45 mark_outliers: bool = False, 

    +

    46 mark_timestamp: bool = True, 

    +

    47 filename: str = "3d_beta_plot", 

    +

    48 write: bool = True, 

    +

    49 show_res: bool = True, 

    +

    50) -> Union[None, str]: 

    +

    51 """ 

    +

    52 Creates a .html visualization of input data 

    +

    53 

    +

    54 Parameters 

    +

    55 ---------- 

    +

    56 beta_cluster: np.ndarray 

    +

    57 Numpy array containing beta clusters 

    +

    58 id_cluster: Union[np.ndarray, Sequence] 

    +

    59 Numpy array or sequence containing the ids samples in clusters. 

    +

    60 Must be of same structure as beta_clusters 

    +

    61 save_path: str 

    +

    62 Where to save the .html visualization 

    +

    63 img_path: Union[None, str], default: None 

    +

    64 Path to images of samples 

    +

    65 mark_outliers: bool, default: False 

    +

    66 Set to True if first entry in beta_cluster are outliers 

    +

    67 mark_timestamp: bool, default: True 

    +

    68 Set to True if name of visualization shall contain time of creation. 

    +

    69 If set to False, visualization will override previous file 

    +

    70 filename: str, default "3d_beta_plot" 

    +

    71 Name of .hmtl file 

    +

    72 write: bool, default: True 

    +

    73 Set to False to not write .html file and return as string instead 

    +

    74 show_res: bool, default: True 

    +

    75 Set to False to not open resulting page in webbrowser 

    +

    76 

    +

    77 Returns 

    +

    78 ------- 

    +

    79 html_str_formatted: str 

    +

    80 If **write=False** returns .hmtl file as string, else None 

    +

    81 """ 

    +

    82 

    +

    83 # pylint: disable = too-many-arguments, too-many-locals 

    +

    84 

    +

    85 if not isinstance(img_path, str): 

    +

    86 img_path = "" 

    +

    87 

    +

    88 colorlist = [ 

    +

    89 "#1f77b4", 

    +

    90 "#ff7f0e", 

    +

    91 "#2ca02c", 

    +

    92 "#d62728", 

    +

    93 "#9467bd", 

    +

    94 "#8c564b", 

    +

    95 "#e377c2", 

    +

    96 "#7f7f7f", 

    +

    97 "#bcbd22", 

    +

    98 "#17becf", 

    +

    99 ] 

    +

    100 tracelist = [] 

    +

    101 

    +

    102 # rescaling betas to better fit in viz 

    +

    103 scale_multiplier = 300 

    +

    104 max_val = ( 

    +

    105 max(*[max(np.max(cluster), abs(np.min(cluster))) for cluster in beta_cluster]) 

    +

    106 if len(beta_cluster) > 1 

    +

    107 else max(np.max(beta_cluster[0]), abs(np.min(beta_cluster[0]))) 

    +

    108 ) 

    +

    109 

    +

    110 beta_cluster = [cluster / max_val * scale_multiplier for cluster in beta_cluster] 

    +

    111 

    +

    112 id_nr = [] 

    +

    113 for group in id_cluster: 

    +

    114 id_group = [] 

    +

    115 for entry in group: 

    +

    116 nr = re.findall(r"\d+", entry)[0] 

    +

    117 id_group.append(nr) 

    +

    118 id_nr.append(id_group) 

    +

    119 

    +

    120 # pylint: disable = consider-using-f-string 

    +

    121 _three_min_ = '<script type="text/javascript">%s</script>' % _read_file( 

    +

    122 os.path.join( 

    +

    123 # move path to "~/lasso/" 

    +

    124 os.path.split(os.path.split(os.path.dirname(__file__))[0])[0], 

    +

    125 "plotting/resources/three_latest.min.js", 

    +

    126 ) 

    +

    127 ) 

    +

    128 

    +

    129 html_str_formatted = OVERHEAD_STRING + CONST_STRING.format( 

    +

    130 _three_min_=_three_min_, _path_str_=img_path, _runIdEntries_=id_nr 

    +

    131 ) 

    +

    132 for index, cluster in enumerate(beta_cluster): 

    +

    133 name = "Error, my bad" 

    +

    134 color = "pink" 

    +

    135 if (index == 0) and mark_outliers: 

    +

    136 name = "outliers" 

    +

    137 color = "black" 

    +

    138 else: 

    +

    139 name = "cluster {i}".format(i=index) 

    +

    140 color = colorlist[(index - 1) % 10] 

    +

    141 formated_trace = TRACE_STRING.format( 

    +

    142 _traceNr_="trace{i}".format(i=index), 

    +

    143 _name_=name, 

    +

    144 _color_=color, 

    +

    145 _runIDs_=id_cluster[index].tolist(), 

    +

    146 _x_=np.around(cluster[:, 0], decimals=5).tolist(), 

    +

    147 _y_=np.around(cluster[:, 1], decimals=5).tolist(), 

    +

    148 _z_=np.around(cluster[:, 2], decimals=5).tolist(), 

    +

    149 ) 

    +

    150 tracelist.append(f"trace{index}") 

    +

    151 html_str_formatted += formated_trace 

    +

    152 trace_list_string = " traceList = [" 

    +

    153 for trace in tracelist: 

    +

    154 trace_list_string += trace + ", " 

    +

    155 trace_list_string += "]" 

    +

    156 html_str_formatted += trace_list_string 

    +

    157 html_str_formatted += SCRIPT_STRING 

    +

    158 

    +

    159 if write: 

    +

    160 os.makedirs(save_path, exist_ok=True) 

    +

    161 

    +

    162 # Timestamp for differentiating different viz / not override previous viz 

    +

    163 stamp = timestamp() if mark_timestamp else "" 

    +

    164 

    +

    165 output_filepath = os.path.join(save_path, stamp + filename + ".html") 

    +

    166 with open(output_filepath, "w", encoding="utf-8") as f: 

    +

    167 f.write(html_str_formatted) 

    +

    168 if show_res: 

    +

    169 webbrowser.open("file://" + os.path.realpath(output_filepath)) 

    +

    170 else: 

    +

    171 # only needed for testcases 

    +

    172 return html_str_formatted 

    +
    + + + diff --git a/coverage/d_ec83283597faf9de_pod_functions_py.html b/coverage/d_ec83283597faf9de_pod_functions_py.html new file mode 100644 index 0000000..a4a91ac --- /dev/null +++ b/coverage/d_ec83283597faf9de_pod_functions_py.html @@ -0,0 +1,191 @@ + + + + + Coverage for lasso/dimred/svd/pod_functions.py: 97% + + + + + +
    +
    +

    + Coverage for lasso/dimred/svd/pod_functions.py: + 97% +

    + +

    + 30 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1from typing import Tuple, Union 

    +

    2 

    +

    3import numpy as np 

    +

    4from scipy.sparse import csc_matrix 

    +

    5from scipy.sparse.linalg import svds 

    +

    6from rich.progress import Progress, TaskID 

    +

    7 

    +

    8from lasso.utils.rich_progress_bars import PlaceHolderBar 

    +

    9 

    +

    10 

    +

    11def svd_step_and_dim(s_mat: np.ndarray, k=10) -> np.ndarray: 

    +

    12 """ 

    +

    13 Performs a svds operation on the two dimensional s_mat 

    +

    14 

    +

    15 Parameters 

    +

    16 ---------- 

    +

    17 s_mat: ndarray 

    +

    18 2D array on which the svds operation shall be performed 

    +

    19 k: int, 10, optinal. 

    +

    20 The size of the POD 

    +

    21 

    +

    22 Returns 

    +

    23 ------- 

    +

    24 v: ndarray 

    +

    25 Array containing the right reduced order basis 

    +

    26 """ 

    +

    27 small_mat = csc_matrix(s_mat.astype(np.float64)) 

    +

    28 

    +

    29 _, _, v = svds(small_mat, k=k) 

    +

    30 

    +

    31 v = v[::-1, :] 

    +

    32 

    +

    33 return v 

    +

    34 

    +

    35 

    +

    36def calculate_v_and_betas( 

    +

    37 stacked_sub_displ: np.ndarray, 

    +

    38 progress_bar: Union[None, Progress, PlaceHolderBar] = None, 

    +

    39 task_id: Union[None, TaskID] = None, 

    +

    40) -> Union[str, Tuple[np.ndarray, np.ndarray]]: 

    +

    41 """ 

    +

    42 Calculates the right reduced order Basis V and up to 10 eigenvalues of the subsamples 

    +

    43 

    +

    44 Parameters 

    +

    45 ---------- 

    +

    46 stacked_sub_displ: np.ndarray 

    +

    47 np.ndarray containing all subsampled displacements 

    +

    48 shape must be (samples, timesteps, nodes, dims) 

    +

    49 

    +

    50 Returns 

    +

    51 ------- 

    +

    52 v_big: np.ndarray 

    +

    53 Reduced order basis to transform betas bag into subsamples 

    +

    54 betas: np.ndarray 

    +

    55 Projected simulation runs 

    +

    56 err_msg: str 

    +

    57 Error message if not enough samples where provided 

    +

    58 """ 

    +

    59 

    +

    60 big_mat = stacked_sub_displ.reshape( 

    +

    61 ( 

    +

    62 stacked_sub_displ.shape[0], 

    +

    63 stacked_sub_displ.shape[1], 

    +

    64 stacked_sub_displ.shape[2] * stacked_sub_displ.shape[3], 

    +

    65 ) 

    +

    66 ) 

    +

    67 

    +

    68 diff_mat = np.stack([big_mat[:, 0, :] for _ in range(big_mat.shape[1])]).reshape( 

    +

    69 (big_mat.shape[0], big_mat.shape[1], big_mat.shape[2]) 

    +

    70 ) 

    +

    71 

    +

    72 # We only want the difference in displacement 

    +

    73 big_mat = big_mat - diff_mat 

    +

    74 

    +

    75 k = min(10, big_mat.shape[0] - 1) 

    +

    76 if k < 1: 

    +

    77 return "Must provide more than 1 sample" 

    +

    78 

    +

    79 if task_id is None and progress_bar: 

    +

    80 return "Progress requires a task ID" 

    +

    81 

    +

    82 v_big = np.zeros((k, big_mat.shape[1], big_mat.shape[2])) 

    +

    83 if progress_bar: 

    +

    84 progress_bar.advance(task_id) # type: ignore 

    +

    85 for step in range(big_mat.shape[1] - 1): 

    +

    86 v_big[:, step + 1] = svd_step_and_dim(big_mat[:, step + 1], k) 

    +

    87 progress_bar.advance(task_id) # type: ignore 

    +

    88 else: 

    +

    89 for step in range(big_mat.shape[1] - 1): 

    +

    90 v_big[:, step + 1] = svd_step_and_dim(big_mat[:, step + 1], k) 

    +

    91 

    +

    92 betas_big = np.einsum("stn, ktn -> stk", big_mat, v_big) 

    +

    93 

    +

    94 return v_big, betas_big 

    +
    + + + diff --git a/coverage/d_ec83283597faf9de_subsampling_methods_py.html b/coverage/d_ec83283597faf9de_subsampling_methods_py.html new file mode 100644 index 0000000..caed95c --- /dev/null +++ b/coverage/d_ec83283597faf9de_subsampling_methods_py.html @@ -0,0 +1,388 @@ + + + + + Coverage for lasso/dimred/svd/subsampling_methods.py: 53% + + + + + +
    +
    +

    + Coverage for lasso/dimred/svd/subsampling_methods.py: + 53% +

    + +

    + 120 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import os 

    +

    2import random 

    +

    3import time 

    +

    4from typing import List, Sequence, Tuple, Union 

    +

    5 

    +

    6import numpy as np 

    +

    7from sklearn.neighbors import NearestNeighbors 

    +

    8 

    +

    9from ...dyna import ArrayType, D3plot 

    +

    10 

    +

    11 

    +

    12def _mark_dead_eles(node_indexes: np.ndarray, alive_shells: np.ndarray) -> np.ndarray: 

    +

    13 """ 

    +

    14 Returns a mask to filter out elements mark as 'no alive' 

    +

    15 

    +

    16 Parameters 

    +

    17 ---------- 

    +

    18 node_indexes: ndarray 

    +

    19 Array containing node indexes 

    +

    20 alive_nodes: ndarray 

    +

    21 Array containing float value representing if element is alive. 

    +

    22 Expected for D3plot.arrays[ArrayType.element_shell_is_alive] or equivalent for beams etc 

    +

    23 

    +

    24 Returns 

    +

    25 ------- 

    +

    26 node_coordinate_mask: np.ndarray 

    +

    27 Array containing indizes of alive shells. 

    +

    28 Use node_coordinates[node_coordinate_mask] to get all nodes alive. 

    +

    29 

    +

    30 See Also 

    +

    31 -------- 

    +

    32 bury_the_dead(), also removes dead beam nodes 

    +

    33 """ 

    +

    34 

    +

    35 dead_eles_shell = np.unique(np.where(alive_shells == 0)[1]) 

    +

    36 

    +

    37 ele_filter = np.zeros(node_indexes.shape[0]) 

    +

    38 ele_filter[dead_eles_shell] = 1 

    +

    39 ele_filter_bool = ele_filter == 1 

    +

    40 

    +

    41 dead_nodes = np.unique(node_indexes[ele_filter_bool]) 

    +

    42 

    +

    43 return dead_nodes 

    +

    44 

    +

    45 

    +

    46def _extract_shell_parts( 

    +

    47 part_list: Sequence[int], d3plot: D3plot 

    +

    48) -> Union[Tuple[np.ndarray, np.ndarray], str]: 

    +

    49 """ 

    +

    50 Extracts a shell part defined by its part ID out of the given d3plot. 

    +

    51 Returns a new node index, relevant coordinates and displacement 

    +

    52 

    +

    53 Parameters 

    +

    54 ---------- 

    +

    55 part_list: list 

    +

    56 List of part IDs of the parts that shall be extracted 

    +

    57 d3plot: D3plot 

    +

    58 D3plot the part shall be extracted from 

    +

    59 

    +

    60 Returns 

    +

    61 ------- 

    +

    62 node_coordinates: ndarray 

    +

    63 Numpy array containing the node coordinates of the extracted part 

    +

    64 node_displacement: ndarray 

    +

    65 Numpy array containing the node displacement of the extracted part 

    +

    66 err_msg: str 

    +

    67 If an error occurs, a string containing the error msg is returned instead 

    +

    68 """ 

    +

    69 

    +

    70 # pylint: disable = too-many-locals, too-many-statements 

    +

    71 

    +

    72 # convert into list 

    +

    73 part_list = list(part_list) 

    +

    74 

    +

    75 shell_node_indexes = d3plot.arrays[ArrayType.element_shell_node_indexes] 

    +

    76 shell_part_indexes = d3plot.arrays[ArrayType.element_shell_part_indexes] 

    +

    77 beam_node_indexes = d3plot.arrays[ArrayType.element_beam_node_indexes] 

    +

    78 beam_part_indexes = d3plot.arrays[ArrayType.element_beam_part_indexes] 

    +

    79 solid_node_indexes = d3plot.arrays[ArrayType.element_solid_node_indexes] 

    +

    80 solid_part_indexes = d3plot.arrays[ArrayType.element_solid_part_indexes] 

    +

    81 tshell_node_indexes = d3plot.arrays[ArrayType.element_tshell_node_indexes] 

    +

    82 tshell_part_indexes = d3plot.arrays[ArrayType.element_tshell_part_indexes] 

    +

    83 

    +

    84 node_coordinates = d3plot.arrays[ArrayType.node_coordinates] 

    +

    85 node_displacement = d3plot.arrays[ArrayType.node_displacement] 

    +

    86 

    +

    87 alive_mask = np.full((node_coordinates.shape[0]), True) 

    +

    88 

    +

    89 if ArrayType.element_shell_is_alive in d3plot.arrays: 

    +

    90 dead_shell_mask = _mark_dead_eles( 

    +

    91 shell_node_indexes, d3plot.arrays[ArrayType.element_shell_is_alive] 

    +

    92 ) 

    +

    93 alive_mask[dead_shell_mask] = False 

    +

    94 if ArrayType.element_beam_is_alive in d3plot.arrays: 

    +

    95 dead_beam_mask = _mark_dead_eles( 

    +

    96 beam_node_indexes, d3plot.arrays[ArrayType.element_beam_is_alive] 

    +

    97 ) 

    +

    98 alive_mask[dead_beam_mask] = False 

    +

    99 if ArrayType.element_solid_is_alive in d3plot.arrays: 

    +

    100 dead_solid_mask = _mark_dead_eles( 

    +

    101 solid_node_indexes, d3plot.arrays[ArrayType.element_solid_is_alive] 

    +

    102 ) 

    +

    103 alive_mask[dead_solid_mask] = False 

    +

    104 if ArrayType.element_tshell_is_alive in d3plot.arrays: 

    +

    105 dead_tshell_mask = _mark_dead_eles( 

    +

    106 tshell_node_indexes, d3plot.arrays[ArrayType.element_tshell_is_alive] 

    +

    107 ) 

    +

    108 alive_mask[dead_tshell_mask] = False 

    +

    109 

    +

    110 if len(part_list) > 0: 

    +

    111 try: 

    +

    112 part_ids = d3plot.arrays[ArrayType.part_ids] 

    +

    113 except KeyError: 

    +

    114 err_msg = "KeyError: Loaded plot has no parts" 

    +

    115 return err_msg 

    +

    116 part_ids_as_list = part_ids.tolist() 

    +

    117 # check if parts exist 

    +

    118 for part in part_list: 

    +

    119 try: 

    +

    120 part_ids_as_list.index(int(part)) 

    +

    121 except ValueError: 

    +

    122 err_msg = "ValueError: Could not find part: {0}" 

    +

    123 return err_msg.format(part) 

    +

    124 

    +

    125 def mask_parts( 

    +

    126 part_list2: List[int], element_part_index: np.ndarray, element_node_index: np.ndarray 

    +

    127 ) -> np.ndarray: 

    +

    128 

    +

    129 element_part_filter = np.full(element_part_index.shape, False) 

    +

    130 proc_parts = [] 

    +

    131 

    +

    132 for pid in part_list2: 

    +

    133 part_index = part_ids_as_list.index(int(pid)) 

    +

    134 locs = np.where(element_part_index == part_index)[0] 

    +

    135 if not locs.shape == (0,): 

    +

    136 proc_parts.append(pid) 

    +

    137 element_part_filter[locs] = True 

    +

    138 

    +

    139 for part in proc_parts: 

    +

    140 part_list2.pop(part_list2.index(part)) 

    +

    141 

    +

    142 unique_element_node_indexes = np.unique(element_node_index[element_part_filter]) 

    +

    143 

    +

    144 return unique_element_node_indexes 

    +

    145 

    +

    146 # shells: 

    +

    147 unique_shell_node_indexes = mask_parts(part_list, shell_part_indexes, shell_node_indexes) 

    +

    148 

    +

    149 # beams 

    +

    150 unique_beam_node_indexes = mask_parts(part_list, beam_part_indexes, beam_node_indexes) 

    +

    151 

    +

    152 # solids: 

    +

    153 unique_solide_node_indexes = mask_parts(part_list, solid_part_indexes, solid_node_indexes) 

    +

    154 

    +

    155 # tshells 

    +

    156 unique_tshell_node_indexes = mask_parts(part_list, tshell_part_indexes, tshell_node_indexes) 

    +

    157 

    +

    158 # this check may seem redundant, but also verifies that our masking of parts works 

    +

    159 if not len(part_list) == 0: 

    +

    160 err_msg = "Value Error: Could not find parts: " + str(part_list) 

    +

    161 return err_msg 

    +

    162 

    +

    163 # New coordinate mask 

    +

    164 coord_mask = np.full((node_coordinates.shape[0]), False) 

    +

    165 coord_mask[unique_shell_node_indexes] = True 

    +

    166 coord_mask[unique_solide_node_indexes] = True 

    +

    167 coord_mask[unique_beam_node_indexes] = True 

    +

    168 coord_mask[unique_tshell_node_indexes] = True 

    +

    169 

    +

    170 inv_alive_mask = np.logical_not(alive_mask) 

    +

    171 coord_mask[inv_alive_mask] = False 

    +

    172 

    +

    173 node_coordinates = node_coordinates[coord_mask] 

    +

    174 node_displacement = node_displacement[:, coord_mask] 

    +

    175 else: 

    +

    176 node_coordinates = node_coordinates[alive_mask] 

    +

    177 node_displacement = node_displacement[:, alive_mask] 

    +

    178 

    +

    179 return node_coordinates, node_displacement 

    +

    180 

    +

    181 

    +

    182def create_reference_subsample( 

    +

    183 load_path: str, parts: Sequence[int], nr_samples=2000 

    +

    184) -> Union[Tuple[np.ndarray, float, float], str]: 

    +

    185 """ 

    +

    186 Loads the D3plot at load_path, extracts the node coordinates of part 13, returns 

    +

    187 a random subsample of these nodes 

    +

    188 

    +

    189 Parameters 

    +

    190 ---------- 

    +

    191 load_path: str 

    +

    192 Filepath of the D3plot 

    +

    193 parts: Sequence[int] 

    +

    194 List of parts to be extracted 

    +

    195 nr_samples: int 

    +

    196 How many nodes are subsampled 

    +

    197 

    +

    198 Returns 

    +

    199 ------- 

    +

    200 reference_sample: np.array 

    +

    201 Numpy array containing the reference sample 

    +

    202 t_total: float 

    +

    203 Total time required for subsampling 

    +

    204 t_load: float 

    +

    205 Time required to load plot 

    +

    206 err_msg: str 

    +

    207 If an error occurs, a string containing the error is returned instead 

    +

    208 """ 

    +

    209 t_null = time.time() 

    +

    210 try: 

    +

    211 plot = D3plot( 

    +

    212 load_path, 

    +

    213 state_array_filter=[ArrayType.node_displacement, ArrayType.element_shell_is_alive], 

    +

    214 ) 

    +

    215 except Exception: 

    +

    216 err_msg = ( 

    +

    217 f"Failed to load {load_path}! Please make sure it is a D3plot file. " 

    +

    218 f"This might be due to {os.path.split(load_path)[1]} being a timestep of a plot" 

    +

    219 ) 

    +

    220 return err_msg 

    +

    221 

    +

    222 t_load = time.time() - t_null 

    +

    223 result = _extract_shell_parts(parts, plot) 

    +

    224 if isinstance(result, str): 

    +

    225 return result 

    +

    226 

    +

    227 coordinates = result[0] 

    +

    228 if coordinates.shape[0] < nr_samples: 

    +

    229 err_msg = "Number of nodes is lower than desired samplesize" 

    +

    230 return err_msg 

    +

    231 

    +

    232 random.seed("seed") 

    +

    233 samples = random.sample(range(len(coordinates)), nr_samples) 

    +

    234 

    +

    235 reference_sample = coordinates[samples] 

    +

    236 t_total = time.time() - t_null 

    +

    237 return reference_sample, t_total, t_load 

    +

    238 

    +

    239 

    +

    240def remap_random_subsample( 

    +

    241 load_path: str, parts: list, reference_subsample: np.ndarray 

    +

    242) -> Union[Tuple[np.ndarray, float, float], str]: 

    +

    243 """ 

    +

    244 Remaps the specified sample onto a new mesh provided by reference subsampl, using knn matching 

    +

    245 

    +

    246 Parameters 

    +

    247 ---------- 

    +

    248 load_path: str 

    +

    249 Filepath of the desired D3plot 

    +

    250 parts: list of int 

    +

    251 Which parts shall be extracted from the D3plot 

    +

    252 reference_subsample: np.array 

    +

    253 Numpy array containing the reference nodes 

    +

    254 

    +

    255 Returns 

    +

    256 ------- 

    +

    257 subsampled_displacement: np.ndarray 

    +

    258 Subsampled displacement of provided sample 

    +

    259 t_total: float 

    +

    260 Total time required to perform subsampling 

    +

    261 t_load: float 

    +

    262 Time required to load D3plot 

    +

    263 err_msg: str 

    +

    264 If an error occured, a string is returned instead containing the error 

    +

    265 """ 

    +

    266 t_null = time.time() 

    +

    267 try: 

    +

    268 plot = D3plot( 

    +

    269 load_path, 

    +

    270 state_array_filter=[ArrayType.node_displacement, ArrayType.element_shell_is_alive], 

    +

    271 ) 

    +

    272 except Exception: 

    +

    273 err_msg = ( 

    +

    274 f"Failed to load {load_path}! Please make sure it is a D3plot file. " 

    +

    275 f"This might be due to {os.path.split(load_path)[1]} being a timestep of a plot" 

    +

    276 ) 

    +

    277 return err_msg 

    +

    278 

    +

    279 t_load = time.time() - t_null 

    +

    280 result = _extract_shell_parts(parts, plot) 

    +

    281 if isinstance(result, str): 

    +

    282 return result 

    +

    283 

    +

    284 coordinates, displacement = result[0], result[1] 

    +

    285 

    +

    286 quarantine_zone = NearestNeighbors(n_neighbors=1, n_jobs=4).fit(coordinates) 

    +

    287 _, quarantined_index = quarantine_zone.kneighbors(reference_subsample) 

    +

    288 

    +

    289 subsampled_displacement = displacement[:, quarantined_index[:, 0]] 

    +

    290 

    +

    291 return subsampled_displacement, time.time() - t_null, t_load 

    +
    + + + diff --git a/coverage/d_ec83283597faf9de_test_clustering_betas_py.html b/coverage/d_ec83283597faf9de_test_clustering_betas_py.html new file mode 100644 index 0000000..10e81a5 --- /dev/null +++ b/coverage/d_ec83283597faf9de_test_clustering_betas_py.html @@ -0,0 +1,154 @@ + + + + + Coverage for lasso/dimred/svd/test_clustering_betas.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/dimred/svd/test_clustering_betas.py: + 100% +

    + +

    + 27 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1from unittest import TestCase 

    +

    2import numpy as np 

    +

    3from lasso.dimred.svd.clustering_betas import group_betas 

    +

    4from lasso.dimred.svd.keyword_types import DetectorType, ClusterType 

    +

    5 

    +

    6 

    +

    7class TestClustering(TestCase): 

    +

    8 def test_group_betas(self): 

    +

    9 """tests correct function of the group_betas function 

    +

    10 in clustering_betas.py""" 

    +

    11 

    +

    12 fake_names = np.array(["betas_{i}".format(i=i) for i in range(25)]) 

    +

    13 fake_cluster_0 = np.random.rand(12, 3) + 5 

    +

    14 fake_cluster_1 = np.random.rand(12, 3) - 5 

    +

    15 fake_betas = np.stack([*fake_cluster_0, *fake_cluster_1, np.array([0, 0, 0])]) 

    +

    16 expected_clusters = 2 

    +

    17 expected_outliers = 1 

    +

    18 

    +

    19 # test with recommended settings 

    +

    20 beta_clusters, name_clusters = group_betas( 

    +

    21 fake_names, 

    +

    22 fake_betas, 

    +

    23 cluster=ClusterType.KMeans, 

    +

    24 detector=DetectorType.LocalOutlierFactor, 

    +

    25 cluster_params=dict( 

    +

    26 n_clusters=expected_clusters, 

    +

    27 ), 

    +

    28 ) 

    +

    29 

    +

    30 # verify correct type of output 

    +

    31 self.assertIsInstance(beta_clusters, list) 

    +

    32 self.assertIsInstance(name_clusters, list) 

    +

    33 

    +

    34 # verify that beta_clusters and name_clusters correspond to each other 

    +

    35 self.assertEqual(len(beta_clusters), len(name_clusters)) 

    +

    36 # verify that beta_clusters contains as many clusters as searched for 

    +

    37 # inkluding one outlier 

    +

    38 self.assertEqual(len(beta_clusters), expected_clusters + expected_outliers) 

    +

    39 

    +

    40 # verify that entries correspond to each other 

    +

    41 for c, cluster in enumerate(name_clusters): 

    +

    42 for e, entry in enumerate(cluster): 

    +

    43 index = np.where(fake_names == entry)[0] 

    +

    44 self.assertTrue((fake_betas[index] - beta_clusters[c][e]).max() == 0) 

    +

    45 

    +

    46 # verify differen keyword kombinations 

    +

    47 

    +

    48 for cluster_type in ClusterType.get_cluster_type_name(): 

    +

    49 for detector_type in DetectorType.get_detector_type_name(): 

    +

    50 beta_clusters, name_clusters = group_betas( 

    +

    51 fake_names, fake_betas, cluster=cluster_type, detector=detector_type 

    +

    52 ) 

    +

    53 

    +

    54 # verify correct output 

    +

    55 self.assertIsInstance(beta_clusters, list) 

    +

    56 self.assertIsInstance(name_clusters, list) 

    +

    57 self.assertEqual(len(beta_clusters), len(name_clusters)) 

    +
    + + + diff --git a/coverage/d_ec83283597faf9de_test_plot_betas_clusters_py.html b/coverage/d_ec83283597faf9de_test_plot_betas_clusters_py.html new file mode 100644 index 0000000..78168fb --- /dev/null +++ b/coverage/d_ec83283597faf9de_test_plot_betas_clusters_py.html @@ -0,0 +1,129 @@ + + + + + Coverage for lasso/dimred/svd/test_plot_betas_clusters.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/dimred/svd/test_plot_betas_clusters.py: + 100% +

    + +

    + 18 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import hashlib 

    +

    2from unittest import TestCase 

    +

    3 

    +

    4import numpy as np 

    +

    5from lasso.dimred.svd.plot_beta_clusters import plot_clusters_js 

    +

    6 

    +

    7 

    +

    8def hash_str(data: str) -> str: 

    +

    9 """hashes a string""" 

    +

    10 

    +

    11 hasher1 = hashlib.sha256() 

    +

    12 hasher1.update(data.encode("utf-8")) 

    +

    13 return hasher1.hexdigest() 

    +

    14 

    +

    15 

    +

    16class TestBetaViz(TestCase): 

    +

    17 def test_plot_clusters_js(self): 

    +

    18 """Veryfies correct output .html file""" 

    +

    19 

    +

    20 betas = [np.array([[1, 1, 1], [1, 2, 3]])] 

    +

    21 ids = np.array([["sample0", "sample1"]]) 

    +

    22 

    +

    23 html_page_str = plot_clusters_js( 

    +

    24 betas, ids, "", mark_timestamp=False, filename="testpage", write=False, show_res=False 

    +

    25 ) 

    +

    26 

    +

    27 self.assertIsInstance(html_page_str, str) 

    +

    28 if isinstance(html_page_str, str): 

    +

    29 html_page_hash = hash_str(html_page_str) 

    +

    30 

    +

    31 desired_hash = "0af9f14ded18d4ac479ac2a07d46eb773ae93a61245e57e650115cc51522c54f" 

    +

    32 self.assertEqual(html_page_hash, desired_hash) 

    +
    + + + diff --git a/coverage/d_ec83283597faf9de_test_pod_functions_py.html b/coverage/d_ec83283597faf9de_test_pod_functions_py.html new file mode 100644 index 0000000..aa40f6e --- /dev/null +++ b/coverage/d_ec83283597faf9de_test_pod_functions_py.html @@ -0,0 +1,151 @@ + + + + + Coverage for lasso/dimred/svd/test_pod_functions.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/dimred/svd/test_pod_functions.py: + 100% +

    + +

    + 24 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1from unittest import TestCase 

    +

    2from lasso.dimred.svd.pod_functions import calculate_v_and_betas 

    +

    3import numpy as np 

    +

    4from typing import Tuple 

    +

    5 

    +

    6 

    +

    7class PodFunctionsTest(TestCase): 

    +

    8 def test_calculate_v_and_betas(self): 

    +

    9 """Verify svd works 

    +

    10 Test for: 

    +

    11 - returns V and B of correct shape 

    +

    12 - failes if dataset to small (1 sample)""" 

    +

    13 

    +

    14 # random input for 1 sample, 5 timesteps, 100 nodes, 3 dimensions 

    +

    15 rand_samples = np.random.rand(1, 5, 100, 3) 

    +

    16 

    +

    17 # should return error message string 

    +

    18 err_msg = calculate_v_and_betas(rand_samples) 

    +

    19 self.assertTrue(isinstance(err_msg, str)) 

    +

    20 

    +

    21 # random input for 5 samples, 5 timesteps, 100 nodes, 3 dimensions 

    +

    22 test_shape = (5, 5, 100, 3) 

    +

    23 samples, timesteps, nodes, dimensions = test_shape 

    +

    24 rand_samples = np.random.rand(samples, timesteps, nodes, dimensions) 

    +

    25 result = calculate_v_and_betas(rand_samples) 

    +

    26 

    +

    27 # returns Tuple containing v_rob and betas 

    +

    28 self.assertTrue(isinstance(result, Tuple)) 

    +

    29 

    +

    30 v_rob, betas = result 

    +

    31 

    +

    32 # v_rob and betas should both be numpy arrays 

    +

    33 self.assertTrue(isinstance(v_rob, np.ndarray)) 

    +

    34 self.assertTrue(isinstance(betas, np.ndarray)) 

    +

    35 

    +

    36 # v_rob should be of shape (k_eigen, timesteps, nodes*dimensions) 

    +

    37 # k_eigen should be min(10, samples-1), so in this case k_eigen = samples-1 = 4 

    +

    38 k_eigen = min(10, samples - 1) 

    +

    39 self.assertEqual(v_rob.shape, (k_eigen, timesteps, nodes * dimensions)) 

    +

    40 

    +

    41 # betas should be of shape (samples, timesteps, k_eigen) 

    +

    42 self.assertEqual(betas.shape, (samples, timesteps, k_eigen)) 

    +

    43 

    +

    44 # v_rob and betas should result in difference in displacements of original result 

    +

    45 reshaped_samples = rand_samples.reshape(samples, timesteps, nodes * dimensions) 

    +

    46 

    +

    47 delta_displ = reshaped_samples[:, :] - np.stack( 

    +

    48 [reshaped_samples[0, :] for _ in range(timesteps)] 

    +

    49 ) 

    +

    50 

    +

    51 recacl_displ = np.einsum("ktn, stk -> stn", v_rob, betas) 

    +

    52 

    +

    53 # check if both original and recalc have the same shape 

    +

    54 self.assertEqual(delta_displ.shape, recacl_displ.shape) 

    +
    + + + diff --git a/coverage/d_ec83283597faf9de_test_subsampling_methods_py.html b/coverage/d_ec83283597faf9de_test_subsampling_methods_py.html new file mode 100644 index 0000000..3b6a96a --- /dev/null +++ b/coverage/d_ec83283597faf9de_test_subsampling_methods_py.html @@ -0,0 +1,193 @@ + + + + + Coverage for lasso/dimred/svd/test_subsampling_methods.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/dimred/svd/test_subsampling_methods.py: + 100% +

    + +

    + 46 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import os 

    +

    2import tempfile 

    +

    3from typing import Tuple 

    +

    4from unittest import TestCase 

    +

    5 

    +

    6import numpy as np 

    +

    7 

    +

    8from lasso.dimred.svd.subsampling_methods import create_reference_subsample, remap_random_subsample 

    +

    9from lasso.dimred.test_plot_creator import create_2_fake_plots 

    +

    10 

    +

    11 

    +

    12class TestSubsampling(TestCase): 

    +

    13 def test_create_reference_sample(self): 

    +

    14 """Tests the creation of reference sample""" 

    +

    15 

    +

    16 with tempfile.TemporaryDirectory() as tmp_dir: 

    +

    17 

    +

    18 create_2_fake_plots(tmp_dir, 500, 10) 

    +

    19 load_path = os.path.join(tmp_dir, "SVDTestPlot00/plot") 

    +

    20 n_nodes = 200 

    +

    21 

    +

    22 result = create_reference_subsample(load_path, parts=[], nr_samples=n_nodes) 

    +

    23 

    +

    24 # result should be tuple containing subsample, load time and total process time 

    +

    25 self.assertTrue(isinstance(result, Tuple)) 

    +

    26 

    +

    27 ref_sample, t_total, t_load = result 

    +

    28 

    +

    29 # check for correct types 

    +

    30 self.assertTrue(isinstance(ref_sample, np.ndarray)) 

    +

    31 self.assertTrue(isinstance(t_total, float)) 

    +

    32 self.assertTrue(isinstance(t_load, float)) 

    +

    33 

    +

    34 # t_total should be greater than t_load 

    +

    35 self.assertTrue(t_total - t_load >= 0) 

    +

    36 

    +

    37 # check for correct dimensions of ref_sample 

    +

    38 self.assertEqual(ref_sample.shape, (n_nodes, 3)) 

    +

    39 

    +

    40 # should return string error message if desired samplesize is greater 

    +

    41 # than avaiable nodes 

    +

    42 n_nodes = 5500 

    +

    43 result = create_reference_subsample(load_path, parts=[], nr_samples=n_nodes) 

    +

    44 

    +

    45 self.assertTrue(isinstance(result, str)) 

    +

    46 

    +

    47 # should return string error message for nonexitant parts: 

    +

    48 n_nodes = 200 

    +

    49 result = create_reference_subsample(load_path, parts=[1], nr_samples=n_nodes) 

    +

    50 

    +

    51 self.assertTrue(isinstance(result, str)) 

    +

    52 

    +

    53 def test_remap_random_subsample(self): 

    +

    54 """Verifies correct subsampling""" 

    +

    55 

    +

    56 with tempfile.TemporaryDirectory() as tmp_dir: 

    +

    57 

    +

    58 create_2_fake_plots(tmp_dir, 500, 10) 

    +

    59 ref_path = os.path.join(tmp_dir, "SVDTestPlot00/plot") 

    +

    60 sample_path = os.path.join(tmp_dir, "SVDTestPlot01/plot") 

    +

    61 n_nodes = 200 

    +

    62 

    +

    63 ref_result = create_reference_subsample(ref_path, parts=[], nr_samples=n_nodes) 

    +

    64 

    +

    65 ref_sample = ref_result[0] 

    +

    66 

    +

    67 sub_result = remap_random_subsample( 

    +

    68 sample_path, parts=[], reference_subsample=ref_sample 

    +

    69 ) 

    +

    70 

    +

    71 # sub_result should be Tuple containing subsample, total process time, 

    +

    72 # and plot load time 

    +

    73 self.assertTrue(isinstance(sub_result, Tuple)) 

    +

    74 

    +

    75 subsample, t_total, t_load = sub_result 

    +

    76 

    +

    77 # confirm correct types 

    +

    78 self.assertTrue(isinstance(subsample, np.ndarray)) 

    +

    79 self.assertTrue(isinstance(t_total, float)) 

    +

    80 self.assertTrue(isinstance(t_load, float)) 

    +

    81 

    +

    82 # t_total should be greater t_load 

    +

    83 self.assertTrue(t_total - t_load >= 0) 

    +

    84 

    +

    85 # correct shape of subsample 

    +

    86 self.assertEqual(subsample.shape, (5, n_nodes, 3)) 

    +

    87 

    +

    88 # entries of subsmaple at timestep 0 should be the same as the reference sample 

    +

    89 # this is only true for for the dimredTestPlots, this might not be the case 

    +

    90 # with real plots we check if the difference is 0 

    +

    91 self.assertTrue((ref_sample - subsample[0]).max() == 0) 

    +

    92 

    +

    93 # should return string error message for nonexistant parts: 

    +

    94 err_msg = remap_random_subsample(sample_path, parts=[1], reference_subsample=ref_sample) 

    +

    95 

    +

    96 self.assertTrue(isinstance(err_msg, str)) 

    +
    + + + diff --git a/coverage/d_f6cb54d84c129274___init___py.html b/coverage/d_f6cb54d84c129274___init___py.html new file mode 100644 index 0000000..bc18514 --- /dev/null +++ b/coverage/d_f6cb54d84c129274___init___py.html @@ -0,0 +1,100 @@ + + + + + Coverage for lasso/femzip/__init__.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/femzip/__init__.py: + 100% +

    + +

    + 2 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1from .femzip_api import FemzipAPI 

    +

    2 

    +

    3__all__ = ["FemzipAPI"] 

    +
    + + + diff --git a/coverage/d_f6cb54d84c129274_femzip_api_py.html b/coverage/d_f6cb54d84c129274_femzip_api_py.html new file mode 100644 index 0000000..2e1c2be --- /dev/null +++ b/coverage/d_f6cb54d84c129274_femzip_api_py.html @@ -0,0 +1,1505 @@ + + + + + Coverage for lasso/femzip/femzip_api.py: 35% + + + + + +
    +
    +

    + Coverage for lasso/femzip/femzip_api.py: + 35% +

    + +

    + 417 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import logging 

    +

    2import os 

    +

    3import re 

    +

    4import stat 

    +

    5import sys 

    +

    6import time 

    +

    7from ctypes import ( 

    +

    8 CDLL, 

    +

    9 POINTER, 

    +

    10 Structure, 

    +

    11 byref, 

    +

    12 c_char_p, 

    +

    13 c_float, 

    +

    14 c_int, 

    +

    15 c_int32, 

    +

    16 c_int64, 

    +

    17 c_uint64, 

    +

    18 sizeof, 

    +

    19) 

    +

    20from typing import Any, Dict, List, Set, Tuple, Union 

    +

    21 

    +

    22import numpy as np 

    +

    23 

    +

    24from .fz_config import FemzipArrayType, FemzipVariableCategory, get_last_int_of_line 

    +

    25 

    +

    26# During next refactoring we should take a look at reducing the file size. 

    +

    27# pylint: disable = too-many-lines 

    +

    28 

    +

    29# The c-structs python wrappers set variables outside of the init method which 

    +

    30# is okay. 

    +

    31# pylint: disable = attribute-defined-outside-init 

    +

    32 

    +

    33 

    +

    34class FemzipException(Exception): 

    +

    35 """Custom exception specifically for anything going wrong in femzip""" 

    +

    36 

    +

    37 

    +

    38class FemzipError(Structure): 

    +

    39 """Struct representing femzip errors in c-code 

    +

    40 

    +

    41 Attributes 

    +

    42 ---------- 

    +

    43 ier: c_int32 

    +

    44 Error code 

    +

    45 msg: c_char_p 

    +

    46 Error message 

    +

    47 """ 

    +

    48 

    +

    49 _fields_ = [ 

    +

    50 ("ier", c_int32), 

    +

    51 ("msg", c_char_p), 

    +

    52 ] 

    +

    53 

    +

    54 

    +

    55class VariableInfo(Structure): 

    +

    56 """Struct for details about a single femzip variable 

    +

    57 

    +

    58 Attributes 

    +

    59 ---------- 

    +

    60 var_index: c_int32 

    +

    61 Index of the variable 

    +

    62 name: c_char_p 

    +

    63 Name from femzip 

    +

    64 var_type: c_int32 

    +

    65 Variable type. See FemzipVariableCategory for translation. 

    +

    66 var_size: c_int32 

    +

    67 Array size of the field variable. 

    +

    68 """ 

    +

    69 

    +

    70 _fields_ = [ 

    +

    71 ("var_index", c_int32), 

    +

    72 ("name", c_char_p), 

    +

    73 ("var_type", c_int32), 

    +

    74 ("var_size", c_int32), 

    +

    75 ] 

    +

    76 

    +

    77 

    +

    78class FemzipFileMetadata(Structure): 

    +

    79 """This struct contains metadata about femzip files. 

    +

    80 

    +

    81 Attributes 

    +

    82 ---------- 

    +

    83 version_zip: c_float 

    +

    84 activity_flag: c_int32 

    +

    85 number_of_variables: c_int32 

    +

    86 number_of_nodes: c_int32 

    +

    87 number_of_solid_elements: c_int32 

    +

    88 number_of_thick_shell_elements: c_int32 

    +

    89 number_of_1D_elements: c_int32 

    +

    90 number_of_tool_elements: c_int32 

    +

    91 number_of_shell_elements: c_int32 

    +

    92 number_of_solid_element_neighbors: c_int32 

    +

    93 number_of_rbe_element_neighbors: c_int32 

    +

    94 number_of_bar_elements: c_int32 

    +

    95 number_of_beam_elements: c_int32 

    +

    96 number_of_plotel_elements: c_int32 

    +

    97 number_of_spring_elements: c_int32 

    +

    98 number_of_damper_elements: c_int32 

    +

    99 number_of_joint_elements: c_int32 

    +

    100 number_of_joint_element_neighbors: c_int32 

    +

    101 number_of_bar_element_neighbors: c_int32 

    +

    102 number_of_beamcross_elements: c_int32 

    +

    103 number_of_spotweld_elements: c_int32 

    +

    104 number_of_rbe_elements: c_int32 

    +

    105 number_of_hexa20_elements: c_int32 

    +

    106 number_of_rigid_shell_elements: c_int32 

    +

    107 number_of_timesteps: c_int32 

    +

    108 variable_infos: POINTER(VariableInfo) 

    +

    109 """ 

    +

    110 

    +

    111 _fields_ = [ 

    +

    112 ("version_zip", c_float), 

    +

    113 ("activity_flag", c_int32), 

    +

    114 ("number_of_variables", c_int32), 

    +

    115 ("number_of_nodes", c_int32), 

    +

    116 ("number_of_solid_elements", c_int32), 

    +

    117 ("number_of_thick_shell_elements", c_int32), 

    +

    118 ("number_of_1D_elements", c_int32), 

    +

    119 ("number_of_tool_elements", c_int32), 

    +

    120 ("number_of_shell_elements", c_int32), 

    +

    121 ("number_of_solid_element_neighbors", c_int32), 

    +

    122 ("number_of_rbe_element_neighbors", c_int32), 

    +

    123 ("number_of_bar_elements", c_int32), 

    +

    124 ("number_of_beam_elements", c_int32), 

    +

    125 ("number_of_plotel_elements", c_int32), # NOTE typo? 

    +

    126 ("number_of_spring_elements", c_int32), 

    +

    127 ("number_of_damper_elements", c_int32), 

    +

    128 ("number_of_joint_elements", c_int32), 

    +

    129 ("number_of_joint_element_neighbors", c_int32), 

    +

    130 ("number_of_bar_element_neighbors", c_int32), 

    +

    131 ("number_of_beamcross_elements", c_int32), 

    +

    132 ("number_of_spotweld_elements", c_int32), 

    +

    133 ("number_of_rbe_elements", c_int32), 

    +

    134 ("number_of_hexa20_elements", c_int32), 

    +

    135 ("number_of_rigid_shell_elements", c_int32), 

    +

    136 ("number_of_timesteps", c_int32), 

    +

    137 ("variable_infos", POINTER(VariableInfo)), 

    +

    138 ] 

    +

    139 

    +

    140 

    +

    141class FemzipBufferInfo(Structure): 

    +

    142 """This struct describes necessary buffer sizes for reading the file 

    +

    143 

    +

    144 Attributes 

    +

    145 ---------- 

    +

    146 n_timesteps: c_uint64 

    +

    147 Number of timesteps 

    +

    148 timesteps: POINTER(c_float) 

    +

    149 Time for each timestep 

    +

    150 size_geometry: c_uint64 

    +

    151 Size of the geometry buffer 

    +

    152 size_state: c_uint64 

    +

    153 Size of the state buffer 

    +

    154 size_displacement: c_uint64 

    +

    155 Size for displacement array 

    +

    156 size_activity: c_uint64 

    +

    157 Size for activity array (deletion stuff) 

    +

    158 size_post: c_uint64 

    +

    159 Size of the post region of which I currently don't know anymore what it 

    +

    160 was. 

    +

    161 size_titles: c_uint64 

    +

    162 Size of the titles region behind the geomtry. 

    +

    163 """ 

    +

    164 

    +

    165 _fields_ = [ 

    +

    166 ("n_timesteps", c_uint64), 

    +

    167 ("timesteps", POINTER(c_float)), 

    +

    168 ("size_geometry", c_uint64), 

    +

    169 ("size_state", c_uint64), 

    +

    170 ("size_displacement", c_uint64), 

    +

    171 ("size_activity", c_uint64), 

    +

    172 ("size_post", c_uint64), 

    +

    173 ("size_titles", c_uint64), 

    +

    174 ] 

    +

    175 

    +

    176 

    +

    177class FemzipAPIStatus(Structure): 

    +

    178 """This struct summarizes the state of the femzip API library. The library 

    +

    179 has a shared, global state which is stored in static variables. The state 

    +

    180 of the gloval vars is tracked by this struct. 

    +

    181 

    +

    182 Attributes 

    +

    183 ---------- 

    +

    184 is_file_open: c_int32 

    +

    185 Whether a femzip file is opened and being processed. 

    +

    186 is_geometry_read: c_int32 

    +

    187 Whether the geometry was already read. 

    +

    188 is_states_open: c_int32 

    +

    189 Whether processing of the states was started. 

    +

    190 i_timestep_state: c_int32 

    +

    191 Counter of timestep processing. 

    +

    192 i_timestep_activity: c_int32 

    +

    193 Counter of activity data for timesteps. 

    +

    194 """ 

    +

    195 

    +

    196 _fields_ = [ 

    +

    197 ("is_file_open", c_int32), 

    +

    198 ("is_geometry_read", c_int32), 

    +

    199 ("is_states_open", c_int32), 

    +

    200 ("i_timestep_state", c_int32), 

    +

    201 ("i_timestep_activity", c_int32), 

    +

    202 ] 

    +

    203 

    +

    204 

    +

    205class FemzipAPI: 

    +

    206 """FemzipAPI contains wrapper functions around the femzip library.""" 

    +

    207 

    +

    208 _api: Union[None, CDLL] = None 

    +

    209 

    +

    210 @staticmethod 

    +

    211 def load_dynamic_library(path: str) -> CDLL: 

    +

    212 """Load a library and check for correct execution 

    +

    213 

    +

    214 Parameters 

    +

    215 ---------- 

    +

    216 path: str 

    +

    217 path to the library 

    +

    218 

    +

    219 Returns 

    +

    220 ------- 

    +

    221 library: CDLL 

    +

    222 loaded library 

    +

    223 """ 

    +

    224 

    +

    225 # check executable rights 

    +

    226 if not os.access(path, os.X_OK) or not os.access(path, os.R_OK): 

    +

    227 os.chmod(path, os.stat(path).st_mode | stat.S_IEXEC | stat.S_IREAD) 

    +

    228 if not os.access(path, os.X_OK) or not os.access(path, os.R_OK): 

    +

    229 err_msg = "Library '{0}' is not executable and couldn't change execution rights." 

    +

    230 raise RuntimeError(err_msg.format(path)) 

    +

    231 

    +

    232 return CDLL(path) 

    +

    233 

    +

    234 @property 

    +

    235 def api(self) -> CDLL: 

    +

    236 """Returns the loaded, shared object library of the native interface 

    +

    237 

    +

    238 Returns 

    +

    239 ------- 

    +

    240 shared_object_lib: CDLL 

    +

    241 Loaded shared object library. 

    +

    242 """ 

    +

    243 

    +

    244 # pylint: disable = too-many-statements 

    +

    245 

    +

    246 if self._api is None: 

    +

    247 

    +

    248 bin_dirpath = ( 

    +

    249 os.path.abspath(os.path.dirname(sys.executable)) 

    +

    250 if hasattr(sys, "frozen") 

    +

    251 else os.path.dirname(os.path.abspath(__file__)) 

    +

    252 ) 

    +

    253 

    +

    254 # Flexlm Settings 

    +

    255 # prevent flexlm gui to pop up 

    +

    256 os.environ["FLEXLM_BATCH"] = "1" 

    +

    257 # set a low timeout from originally 10 seconds 

    +

    258 if "FLEXLM_TIMEOUT" not in os.environ: 

    +

    259 os.environ["FLEXLM_TIMEOUT"] = "200000" 

    +

    260 

    +

    261 # windows 

    +

    262 if "win32" in sys.platform: 

    +

    263 

    +

    264 shared_lib_name = "api_extended.dll" 

    +

    265 self.load_dynamic_library(os.path.join(bin_dirpath, "libmmd.dll")) 

    +

    266 self.load_dynamic_library(os.path.join(bin_dirpath, "libifcoremd.dll")) 

    +

    267 self.load_dynamic_library(os.path.join(bin_dirpath, "libifportmd.dll")) 

    +

    268 self.load_dynamic_library(os.path.join(bin_dirpath, "libiomp5md.dll")) 

    +

    269 self.load_dynamic_library( 

    +

    270 os.path.join(bin_dirpath, "femzip_a_dyna_sidact_generic.dll") 

    +

    271 ) 

    +

    272 self.load_dynamic_library( 

    +

    273 os.path.join(bin_dirpath, "libfemzip_post_licgenerator_ext_flexlm.dll") 

    +

    274 ) 

    +

    275 # linux hopefully 

    +

    276 else: 

    +

    277 shared_lib_name = "api_extended.so" 

    +

    278 self.load_dynamic_library(os.path.join(bin_dirpath, "libiomp5.so")) 

    +

    279 self.load_dynamic_library(os.path.join(bin_dirpath, "libintlc.so.5")) 

    +

    280 self.load_dynamic_library(os.path.join(bin_dirpath, "libirng.so")) 

    +

    281 self.load_dynamic_library(os.path.join(bin_dirpath, "libimf.so")) 

    +

    282 self.load_dynamic_library(os.path.join(bin_dirpath, "libsvml.so")) 

    +

    283 self.load_dynamic_library( 

    +

    284 os.path.join(bin_dirpath, "libfemzip_a_dyna_sidact_generic.so") 

    +

    285 ) 

    +

    286 self.load_dynamic_library( 

    +

    287 os.path.join(bin_dirpath, "libfemzip_post_licgenerator_ext_flexlm.so") 

    +

    288 ) 

    +

    289 

    +

    290 filepath = os.path.join(bin_dirpath, shared_lib_name) 

    +

    291 self._api = self.load_dynamic_library(filepath) 

    +

    292 

    +

    293 # license check 

    +

    294 self._api.has_femunziplib_license.restype = c_int 

    +

    295 

    +

    296 # file check 

    +

    297 self._api.is_sidact_file.argtypes = (c_char_p,) 

    +

    298 self._api.is_sidact_file.restype = c_int 

    +

    299 

    +

    300 # content infos 

    +

    301 self._api.get_file_metadata.argtypes = (c_char_p, POINTER(FemzipFileMetadata)) 

    +

    302 self._api.get_file_metadata.restype = FemzipError 

    +

    303 

    +

    304 # free 

    +

    305 self._api.free_variable_array.argtypes = (POINTER(FemzipFileMetadata),) 

    +

    306 self._api.free_variable_array.restype = c_int32 

    +

    307 

    +

    308 # get buffer dims 

    +

    309 self._api.get_buffer_info.argtypes = (c_char_p, POINTER(FemzipBufferInfo)) 

    +

    310 self._api.get_buffer_info.restype = FemzipError 

    +

    311 

    +

    312 # read geom 

    +

    313 self._api.read_geometry.argtypes = ( 

    +

    314 c_char_p, 

    +

    315 POINTER(FemzipBufferInfo), 

    +

    316 POINTER(c_int32), 

    +

    317 c_int32, 

    +

    318 ) 

    +

    319 self._api.read_geometry.restype = FemzipError 

    +

    320 

    +

    321 # read var 

    +

    322 self._api.read_variables.argtypes = ( 

    +

    323 POINTER(c_float), 

    +

    324 c_int, 

    +

    325 c_int, 

    +

    326 POINTER(FemzipFileMetadata), 

    +

    327 ) 

    +

    328 self._api.read_variables.restype = FemzipError 

    +

    329 

    +

    330 # femunzip version 

    +

    331 self._api.is_femunzip_version_ok.argtypes = (c_char_p, POINTER(c_int)) 

    +

    332 self._api.is_femunzip_version_ok.restype = FemzipError 

    +

    333 

    +

    334 # femzip status 

    +

    335 self._api.get_femzip_status.argtypes = tuple() 

    +

    336 self._api.get_femzip_status.restype = FemzipAPIStatus 

    +

    337 

    +

    338 # get part titles 

    +

    339 self._api.get_part_titles.argtypes = (c_char_p, POINTER(c_int32), c_int32) 

    +

    340 self._api.get_part_titles.restype = FemzipError 

    +

    341 

    +

    342 # finish reading states 

    +

    343 self._api.finish_reading_states.argtypes = (POINTER(c_int32), c_int64) 

    +

    344 self._api.finish_reading_states.restype = FemzipError 

    +

    345 

    +

    346 # close file 

    +

    347 self._api.close_current_file.argtypes = tuple() 

    +

    348 self._api.close_current_file.restype = FemzipError 

    +

    349 

    +

    350 # read single state 

    +

    351 self._api.read_single_state.argtypes = (c_int32, c_int32, POINTER(c_float), c_int64) 

    +

    352 self._api.read_single_state.restype = FemzipError 

    +

    353 

    +

    354 # read state activity 

    +

    355 self._api.read_activity.argtypes = (c_int32, c_int32, POINTER(c_float)) 

    +

    356 self._api.read_activity.restype = FemzipError 

    +

    357 

    +

    358 # free buffer info 

    +

    359 self._api.free_buffer_info.argtypes = (POINTER(FemzipBufferInfo),) 

    +

    360 self._api.free_buffer_info.restype = c_int32 

    +

    361 

    +

    362 return self._api 

    +

    363 

    +

    364 @staticmethod 

    +

    365 def _parse_state_filter(state_filter: Union[Set[int], None], n_timesteps: int) -> Set[int]: 

    +

    366 

    +

    367 # convert negative indexes 

    +

    368 state_filter_parsed = ( 

    +

    369 {entry if entry >= 0 else entry + n_timesteps for entry in state_filter} 

    +

    370 if state_filter is not None 

    +

    371 else set(range(n_timesteps)) 

    +

    372 ) 

    +

    373 

    +

    374 # filter invalid indexes 

    +

    375 state_filter_valid = {entry for entry in state_filter_parsed if 0 <= entry < n_timesteps} 

    +

    376 

    +

    377 return state_filter_valid 

    +

    378 

    +

    379 @staticmethod 

    +

    380 def _check_femzip_error(err: FemzipError) -> None: 

    +

    381 """Checks a femzip error coming from C (usually) 

    +

    382 

    +

    383 Parameters 

    +

    384 ---------- 

    +

    385 err: FemzipError 

    +

    386 c struct error 

    +

    387 

    +

    388 Raises 

    +

    389 ------ 

    +

    390 FemzipException 

    +

    391 If the error flag is set with the corresponding 

    +

    392 error message. 

    +

    393 """ 

    +

    394 if err.ier != 0: 

    +

    395 fz_error_msg = "Unknown" 

    +

    396 try: 

    +

    397 fz_error_msg = err.msg.decode("ascii") 

    +

    398 except ValueError: 

    +

    399 pass 

    +

    400 

    +

    401 err_msg = "Error Code '{0}': {1}" 

    +

    402 raise FemzipException(err_msg.format(err.ier, fz_error_msg)) 

    +

    403 

    +

    404 @staticmethod 

    +

    405 def struct_to_dict(struct: Structure) -> Dict[str, Any]: 

    +

    406 """Converts a ctypes struct into a dict 

    +

    407 

    +

    408 Parameters 

    +

    409 ---------- 

    +

    410 struct: Structure 

    +

    411 

    +

    412 Returns 

    +

    413 ------- 

    +

    414 fields: Dict[str, Any] 

    +

    415 struct as dict 

    +

    416 

    +

    417 Examples 

    +

    418 -------- 

    +

    419 >>> api.struct_to_dict(api.get_femzip_status()) 

    +

    420 {'is_file_open': 1, 'is_geometry_read': 1, 'is_states_open': 0, 

    +

    421 'i_timestep_state': -1, 'i_timestep_activity': -1} 

    +

    422 """ 

    +

    423 # We access some internal members to do some magic. 

    +

    424 # pylint: disable = protected-access 

    +

    425 return {field_name: getattr(struct, field_name) for field_name, _ in struct._fields_} 

    +

    426 

    +

    427 @staticmethod 

    +

    428 def copy_struct(src: Structure, dest: Structure): 

    +

    429 """Copies all fields from src struct to dest 

    +

    430 

    +

    431 Parameters 

    +

    432 ---------- 

    +

    433 src: Structure 

    +

    434 src struct 

    +

    435 src: Structure 

    +

    436 destination struct 

    +

    437 

    +

    438 Examples 

    +

    439 -------- 

    +

    440 >>> err1 = FemzipError() 

    +

    441 >>> err1.ier = -1 

    +

    442 >>> err1.msg = b"Oops" 

    +

    443 >>> err2 = FemzipError() 

    +

    444 >>> api.copy_struct(err1, err2) 

    +

    445 >>> err2.ier 

    +

    446 -1 

    +

    447 >>> err2.msg 

    +

    448 b'Oops' 

    +

    449 """ 

    +

    450 # We access some internal members to do some magic. 

    +

    451 # pylint: disable = protected-access 

    +

    452 assert src._fields_ == dest._fields_ 

    +

    453 

    +

    454 for field_name, _ in src._fields_: 

    +

    455 setattr(dest, field_name, getattr(src, field_name)) 

    +

    456 

    +

    457 def get_part_titles( 

    +

    458 self, filepath: str, buffer_info: Union[None, FemzipBufferInfo] = None 

    +

    459 ) -> memoryview: 

    +

    460 """Get the part title section 

    +

    461 

    +

    462 Parameters 

    +

    463 ---------- 

    +

    464 filepath: str 

    +

    465 path to femzip file 

    +

    466 buffer_info: Union[None, FemzipBufferInfo] 

    +

    467 buffer info if previously fetched 

    +

    468 

    +

    469 Returns 

    +

    470 ------- 

    +

    471 mview: memoryview 

    +

    472 memory of the part title section 

    +

    473 """ 

    +

    474 

    +

    475 # find out how much memory to allocate 

    +

    476 buffer_info_parsed = self.get_buffer_info(filepath) if buffer_info is None else buffer_info 

    +

    477 

    +

    478 # allocate memory 

    +

    479 # pylint: disable = invalid-name 

    +

    480 BufferType = c_int32 * (buffer_info_parsed.size_titles) 

    +

    481 buffer = BufferType() 

    +

    482 

    +

    483 # do the thing 

    +

    484 err = self.api.get_part_titles( 

    +

    485 filepath.encode("utf-8"), 

    +

    486 buffer, 

    +

    487 buffer_info_parsed.size_titles, 

    +

    488 ) 

    +

    489 self._check_femzip_error(err) 

    +

    490 

    +

    491 return memoryview(buffer).cast("B") 

    +

    492 

    +

    493 def read_state_deletion_info( 

    +

    494 self, buffer_info: FemzipBufferInfo, state_filter: Union[Set[int], None] = None 

    +

    495 ) -> np.ndarray: 

    +

    496 """Get information which elements are alive 

    +

    497 

    +

    498 Parameters 

    +

    499 ---------- 

    +

    500 buffer_info: FemzipBufferInfo 

    +

    501 infos about buffer sizes 

    +

    502 state_filter: Union[Set[int], None] 

    +

    503 usable to read only specific states 

    +

    504 

    +

    505 Notes 

    +

    506 ----- 

    +

    507 The `buffer` must have the size of at least 

    +

    508 `buffer_info.size_activity`. 

    +

    509 

    +

    510 Examples 

    +

    511 -------- 

    +

    512 >>> # get info about required memory 

    +

    513 >>> buffer_info = api.get_buffer_info(filepath) 

    +

    514 

    +

    515 >>> # first read geometry and leave file open! 

    +

    516 >>> mview_geom = api.read_geometry(filepath, buffer_info, False) 

    +

    517 

    +

    518 >>> # now read deletion info 

    +

    519 >>> array_deletion = api.read_state_activity(buffer_info) 

    +

    520 

    +

    521 >>> # close file 

    +

    522 >>> api.close_current_file() 

    +

    523 """ 

    +

    524 

    +

    525 logging.debug("FemzipAPI.read_state_deletion_info start") 

    +

    526 

    +

    527 # filter timesteps 

    +

    528 state_filter_valid = self._parse_state_filter(state_filter, buffer_info.n_timesteps) 

    +

    529 logging.debug("state filter: %s", state_filter_valid) 

    +

    530 

    +

    531 # allocate memory 

    +

    532 # pylint: disable = invalid-name 

    +

    533 StateBufferType = c_float * buffer_info.size_activity 

    +

    534 BufferType = c_float * (buffer_info.size_activity * len(state_filter_valid)) 

    +

    535 buffer_c = BufferType() 

    +

    536 

    +

    537 # major looping 

    +

    538 n_timesteps_read = 0 

    +

    539 for i_timestep in range(buffer_info.n_timesteps): 

    +

    540 logging.debug("i_timestep %d", i_timestep) 

    +

    541 

    +

    542 # walk forward in buffer 

    +

    543 state_buffer_ptr = StateBufferType.from_buffer( 

    +

    544 buffer_c, sizeof(c_float) * buffer_info.size_activity * n_timesteps_read 

    +

    545 ) 

    +

    546 

    +

    547 # do the thing 

    +

    548 err = self.api.read_activity(i_timestep, buffer_info.size_activity, state_buffer_ptr) 

    +

    549 self._check_femzip_error(err) 

    +

    550 

    +

    551 # increment buffer ptr if we needed this one 

    +

    552 if i_timestep in state_filter_valid: 

    +

    553 logging.debug("saved") 

    +

    554 n_timesteps_read += 1 

    +

    555 state_filter_valid.remove(i_timestep) 

    +

    556 

    +

    557 # we processe what we need 

    +

    558 if not state_filter_valid: 

    +

    559 break 

    +

    560 

    +

    561 # convert buffer into array 

    +

    562 array = np.frombuffer(buffer_c, dtype=np.float32).reshape( 

    +

    563 (n_timesteps_read, buffer_info.size_activity) 

    +

    564 ) 

    +

    565 

    +

    566 logging.debug("FemzipAPI.read_state_deletion_info end") 

    +

    567 

    +

    568 return array 

    +

    569 

    +

    570 # return memoryview(buffer_c).cast('B') 

    +

    571 

    +

    572 def read_single_state( 

    +

    573 self, 

    +

    574 i_timestep: int, 

    +

    575 buffer_info: FemzipBufferInfo, 

    +

    576 state_buffer: Union[None, memoryview] = None, 

    +

    577 ) -> memoryview: 

    +

    578 """Read a single state 

    +

    579 

    +

    580 Parameters 

    +

    581 ---------- 

    +

    582 i_timestep: int 

    +

    583 timestep to be read 

    +

    584 buffer_info: FemzipBufferInfo 

    +

    585 infos about buffer sizes 

    +

    586 state_buffer: Union[None, memoryview] 

    +

    587 buffer in which the states are stored 

    +

    588 

    +

    589 Notes 

    +

    590 ----- 

    +

    591 It is unclear to us why the state buffer needs to be given 

    +

    592 in order to terminate state reading. 

    +

    593 

    +

    594 Examples 

    +

    595 -------- 

    +

    596 >>> # get info about required memory 

    +

    597 >>> buffer_info = api.get_buffer_info(filepath) 

    +

    598 

    +

    599 >>> # first read geometry and leave file open 

    +

    600 >>> mview_geom = api.read_geometry(filepath, buffer_info, False) 

    +

    601 

    +

    602 >>> # now read a state 

    +

    603 >>> mview_state = api.read_single_state(0, buffer_info=buffer_info) 

    +

    604 

    +

    605 >>> # close file 

    +

    606 >>> api.close_current_file() 

    +

    607 """ 

    +

    608 

    +

    609 if state_buffer is not None and "f" not in state_buffer.format: 

    +

    610 err_msg = "The state buffer must have a float format '<f' instead of '{0}'." 

    +

    611 raise ValueError(err_msg.format(state_buffer.format)) 

    +

    612 

    +

    613 # pylint: disable = invalid-name 

    +

    614 StateBufferType = c_float * buffer_info.size_state 

    +

    615 state_buffer_c = ( 

    +

    616 StateBufferType() if state_buffer is None else StateBufferType.from_buffer(state_buffer) 

    +

    617 ) 

    +

    618 

    +

    619 err = self.api.read_single_state( 

    +

    620 i_timestep, buffer_info.n_timesteps, state_buffer_c, buffer_info.size_state 

    +

    621 ) 

    +

    622 self._check_femzip_error(err) 

    +

    623 

    +

    624 return memoryview(state_buffer_c).cast("B") 

    +

    625 

    +

    626 def close_current_file(self) -> None: 

    +

    627 """Closes the current file handle(use not recommended) 

    +

    628 

    +

    629 Notes 

    +

    630 ----- 

    +

    631 Closes a currently opened file by the API. There 

    +

    632 is no arg because femzip can process only one file 

    +

    633 at a time. 

    +

    634 This can also be used in case of bugs. 

    +

    635 

    +

    636 Examples 

    +

    637 -------- 

    +

    638 >>> api.close_current_file() 

    +

    639 """ 

    +

    640 err = self.api.close_current_file() 

    +

    641 self._check_femzip_error(err) 

    +

    642 

    +

    643 def get_femzip_status(self) -> FemzipAPIStatus: 

    +

    644 """Check the status of the femzip api 

    +

    645 

    +

    646 Returns 

    +

    647 ------- 

    +

    648 femzip_status: FemzipAPIStatus 

    +

    649 c struct with info about femzip API 

    +

    650 

    +

    651 Notes 

    +

    652 ----- 

    +

    653 This reports whether a file is currently 

    +

    654 opened and how far it was processed. This 

    +

    655 internal state is used to avoid internal 

    +

    656 conflicts and crashes, thus is useful for 

    +

    657 debugging. 

    +

    658 

    +

    659 Examples 

    +

    660 -------- 

    +

    661 >>> print(api.struct_to_dict(api.get_femzip_status())) 

    +

    662 {'is_file_open': 0, 'is_geometry_read': 0, 'is_states_open': 0, 

    +

    663 'i_timestep_state': -1, 'i_timestep_activity': -1} 

    +

    664 """ 

    +

    665 return self.api.get_femzip_status() 

    +

    666 

    +

    667 def is_femunzip_version_ok(self, filepath: str) -> bool: 

    +

    668 """Checks if the femunzip version can be handled 

    +

    669 

    +

    670 Parameters 

    +

    671 ---------- 

    +

    672 filepath: str 

    +

    673 path to the femzpi file 

    +

    674 

    +

    675 Returns 

    +

    676 ------- 

    +

    677 version_ok: bool 

    +

    678 

    +

    679 Examples 

    +

    680 -------- 

    +

    681 >>> api.is_femunzip_version_ok("path/to/d3plot.fz") 

    +

    682 True 

    +

    683 """ 

    +

    684 is_ok = c_int(-1) 

    +

    685 err = self.api.is_femunzip_version_ok(filepath.encode("ascii"), byref(is_ok)) 

    +

    686 self._check_femzip_error(err) 

    +

    687 return is_ok.value == 1 

    +

    688 

    +

    689 def has_femunziplib_license(self) -> bool: 

    +

    690 """Checks whether the extended libraries are available 

    +

    691 

    +

    692 Returns 

    +

    693 ------- 

    +

    694 has_license: bool 

    +

    695 

    +

    696 Examples 

    +

    697 -------- 

    +

    698 >>> api.has_femunziplib_license() 

    +

    699 False 

    +

    700 """ 

    +

    701 start_time = time.time() 

    +

    702 has_license = self.api.has_femunziplib_license() == 1 

    +

    703 logging.debug("License check duration: %fs", (time.time() - start_time)) 

    +

    704 return has_license 

    +

    705 

    +

    706 def is_sidact_file(self, filepath: str) -> bool: 

    +

    707 """Tests if a filepath points at a sidact file 

    +

    708 

    +

    709 Parameters 

    +

    710 ---------- 

    +

    711 filepath: path to file 

    +

    712 

    +

    713 Returns 

    +

    714 ------- 

    +

    715 is_sidact_file: bool 

    +

    716 

    +

    717 Examples 

    +

    718 -------- 

    +

    719 >>> api.is_sidact_file("path/to/d3plot.fz") 

    +

    720 True 

    +

    721 >>> api.is_sidact_file("path/to/d3plot") 

    +

    722 False 

    +

    723 >>> api.is_sidact_file("path/to/non/existing/file") 

    +

    724 False 

    +

    725 """ 

    +

    726 return self.api.is_sidact_file(filepath.encode("ascii")) == 1 

    +

    727 

    +

    728 def get_buffer_info(self, filepath: str) -> FemzipBufferInfo: 

    +

    729 """Get the dimensions of the buffers for femzip 

    +

    730 

    +

    731 Parameters 

    +

    732 ---------- 

    +

    733 filepath: str 

    +

    734 path to femzip file 

    +

    735 

    +

    736 Returns 

    +

    737 ------- 

    +

    738 buffer_info: FemzipBufferInfo 

    +

    739 c struct with infos about the memory required by femzip 

    +

    740 

    +

    741 Examples 

    +

    742 -------- 

    +

    743 >>> # read memory demand info first 

    +

    744 >>> buffer_info = api.get_buffer_info(filepath) 

    +

    745 >>> # buffer info is a c struct, but we can print it 

    +

    746 >>> api.struct_to_dict(buffer_info) 

    +

    747 {'n_timesteps': 12, 

    +

    748 'timesteps': <lasso.femzip.femzip_api.LP_c_float object at 0x0000028A8F6B21C0>, 

    +

    749 'size_geometry': 537125, 'size_state': 1462902, 'size_displacement': 147716, 

    +

    750 'size_activity': 47385, 'size_post': 1266356, 'size_titles': 1448} 

    +

    751 >>> for i_timestep in range(buffer_info.n_timesteps): 

    +

    752 >>> print(buffer_info.timesteps[i_timestep]) 

    +

    753 0.0 

    +

    754 0.9998100399971008 

    +

    755 1.9998900890350342 

    +

    756 2.9999701976776123 

    +

    757 3.9997801780700684 

    +

    758 """ 

    +

    759 buffer_info = FemzipBufferInfo() 

    +

    760 

    +

    761 err = self.api.get_buffer_info( 

    +

    762 filepath.encode("ascii"), 

    +

    763 byref(buffer_info), 

    +

    764 ) 

    +

    765 self._check_femzip_error(err) 

    +

    766 

    +

    767 # we need to copy the timesteps from C to Python 

    +

    768 buffer_info_2 = FemzipBufferInfo() 

    +

    769 

    +

    770 # pylint: disable = invalid-name 

    +

    771 TimestepsType = c_float * buffer_info.n_timesteps 

    +

    772 timesteps_buffer = TimestepsType() 

    +

    773 for i_timestep in range(buffer_info.n_timesteps): 

    +

    774 timesteps_buffer[i_timestep] = buffer_info.timesteps[i_timestep] 

    +

    775 buffer_info_2.timesteps = timesteps_buffer 

    +

    776 

    +

    777 self.copy_struct(buffer_info, buffer_info_2) 

    +

    778 buffer_info_2.timesteps = timesteps_buffer 

    +

    779 

    +

    780 # free C controlled memory 

    +

    781 self.api.free_buffer_info(byref(buffer_info)) 

    +

    782 

    +

    783 return buffer_info_2 

    +

    784 

    +

    785 def read_geometry( 

    +

    786 self, 

    +

    787 filepath: str, 

    +

    788 buffer_info: Union[FemzipBufferInfo, None] = None, 

    +

    789 close_file: bool = True, 

    +

    790 ) -> memoryview: 

    +

    791 """Read the geometry buffer from femzip 

    +

    792 

    +

    793 Parameters 

    +

    794 ---------- 

    +

    795 filepath: str 

    +

    796 path to femzpi file 

    +

    797 buffer_info: Union[FemzipBufferInfo, None] 

    +

    798 struct with info regarding required memory for femzip 

    +

    799 close_file: bool 

    +

    800 it is useful to leave the file open if 

    +

    801 states are processed right afterwards 

    +

    802 

    +

    803 Returns 

    +

    804 ------- 

    +

    805 buffer: memoryview 

    +

    806 memoryview of buffer 

    +

    807 

    +

    808 Notes 

    +

    809 ----- 

    +

    810 If the file isn't closed appropriately bugs and crashes 

    +

    811 might occur. 

    +

    812 

    +

    813 Examples 

    +

    814 -------- 

    +

    815 >>> mview = api.read_geometry(filepath, buffer_info) 

    +

    816 """ 

    +

    817 

    +

    818 # find out how much memory to allocate 

    +

    819 buffer_info = self.get_buffer_info(filepath) if buffer_info is None else buffer_info 

    +

    820 

    +

    821 # allocate memory 

    +

    822 # pylint: disable = invalid-name 

    +

    823 GeomBufferType = c_int * (buffer_info.size_geometry + buffer_info.size_titles) 

    +

    824 buffer = GeomBufferType() 

    +

    825 

    +

    826 # read geometry 

    +

    827 err = self.api.read_geometry( 

    +

    828 filepath.encode("ascii"), 

    +

    829 byref(buffer_info), 

    +

    830 buffer, 

    +

    831 c_int32(close_file), 

    +

    832 ) 

    +

    833 

    +

    834 self._check_femzip_error(err) 

    +

    835 

    +

    836 return memoryview(buffer).cast("B") 

    +

    837 

    +

    838 def read_states( 

    +

    839 self, 

    +

    840 filepath: str, 

    +

    841 buffer_info: Union[FemzipBufferInfo, None] = None, 

    +

    842 state_filter: Union[Set[int], None] = None, 

    +

    843 ) -> np.ndarray: 

    +

    844 """Reads all femzip state information 

    +

    845 

    +

    846 Parameters 

    +

    847 ---------- 

    +

    848 filepath: str 

    +

    849 path to femzip file 

    +

    850 buffer_info: Union[FemzipBufferInfo, None] 

    +

    851 struct with info regarding required memory for femzip 

    +

    852 state_filter: Union[Set[int], None] 

    +

    853 usable to load only specific states 

    +

    854 

    +

    855 Returns 

    +

    856 ------- 

    +

    857 buffer: memoryview 

    +

    858 buffer containing all state data 

    +

    859 

    +

    860 Examples 

    +

    861 -------- 

    +

    862 >>> buffer_info = api.get_buffer_info("path/to/d3plot.fz") 

    +

    863 >>> array_states = api.read_states("path/to/d3plot.fz", buffer_info) 

    +

    864 """ 

    +

    865 

    +

    866 buffer_info_parsed = self.get_buffer_info(filepath) if buffer_info is None else buffer_info 

    +

    867 

    +

    868 # filter invalid indexes 

    +

    869 state_filter_valid = self._parse_state_filter(state_filter, buffer_info_parsed.n_timesteps) 

    +

    870 

    +

    871 n_states_to_allocate = ( 

    +

    872 buffer_info_parsed.n_timesteps if state_filter is None else len(state_filter_valid) 

    +

    873 ) 

    +

    874 

    +

    875 # allocate buffer 

    +

    876 # pylint: disable = invalid-name 

    +

    877 BufferType = c_float * (buffer_info_parsed.size_state * n_states_to_allocate) 

    +

    878 buffer = BufferType() 

    +

    879 

    +

    880 n_timesteps_read = 0 

    +

    881 for i_timestep in range(buffer_info_parsed.n_timesteps): 

    +

    882 

    +

    883 # forward pointer in buffer 

    +

    884 buffer_state = buffer[buffer_info.size_state * n_timesteps_read] 

    +

    885 

    +

    886 # read state data 

    +

    887 self.read_single_state(i_timestep, buffer_info_parsed, buffer_state) 

    +

    888 

    +

    889 if i_timestep in state_filter_valid: 

    +

    890 n_timesteps_read += 1 

    +

    891 state_filter_valid.remove(i_timestep) 

    +

    892 

    +

    893 if not state_filter_valid: 

    +

    894 break 

    +

    895 

    +

    896 array = np.from_buffer(buffer, dtype=np.float32).reshape( 

    +

    897 (n_timesteps_read, buffer_info_parsed.size_state) 

    +

    898 ) 

    +

    899 

    +

    900 return array 

    +

    901 

    +

    902 def get_file_metadata(self, filepath: str) -> FemzipFileMetadata: 

    +

    903 """Get infos about the femzip variables in the file 

    +

    904 

    +

    905 Parameters 

    +

    906 ---------- 

    +

    907 filepath: str 

    +

    908 path to femzip file 

    +

    909 

    +

    910 Returns 

    +

    911 ------- 

    +

    912 file_metadata: FemzipFileMetadata 

    +

    913 c struct with infos about the femzip file 

    +

    914 

    +

    915 Notes 

    +

    916 ----- 

    +

    917 This is for direct interaction with the C-API, thus should 

    +

    918 not be used by users. 

    +

    919 

    +

    920 Examples 

    +

    921 -------- 

    +

    922 >>> file_metadata = api.get_file_metadata("path/to/d3plot.fz") 

    +

    923 >>> # print general internals 

    +

    924 >>> api.struct_to_dict(file_metadata) 

    +

    925 {'version_zip': 605.0, 'activity_flag': 1, 'number_of_variables': 535, ...} 

    +

    926 

    +

    927 >>> # We can iterate the variable names contained in the file 

    +

    928 >>> print( 

    +

    929 [file_metadata.variable_infos[i_var].name.decode("utf8").strip() 

    +

    930 for i_var in range(file_metadata.number_of_variables)] 

    +

    931 ) 

    +

    932 ['global', 'Parts: Energies and others', 'coordinates', 'velocities', ...] 

    +

    933 """ 

    +

    934 file_metadata = FemzipFileMetadata() 

    +

    935 

    +

    936 # get variable infos 

    +

    937 err = self.api.get_file_metadata(filepath.encode("ascii"), byref(file_metadata)) 

    +

    938 self._check_femzip_error(err) 

    +

    939 

    +

    940 # transfer memory to python 

    +

    941 file_metadata2 = self._copy_variable_info_array(file_metadata) 

    +

    942 

    +

    943 # release c memory 

    +

    944 self.api.free_variable_array(byref(file_metadata)) 

    +

    945 

    +

    946 return file_metadata2 

    +

    947 

    +

    948 def _get_variables_state_buffer_size( 

    +

    949 self, 

    +

    950 n_parts: int, 

    +

    951 n_rigid_walls: int, 

    +

    952 n_rigid_wall_vars: int, 

    +

    953 n_airbag_particles: int, 

    +

    954 n_airbags: int, 

    +

    955 file_metadata: FemzipFileMetadata, 

    +

    956 ) -> int: 

    +

    957 # pylint: disable=too-many-arguments 

    +

    958 # pylint: disable=too-many-locals 

    +

    959 # pylint: disable=too-many-branches 

    +

    960 # pylint: disable=too-many-statements 

    +

    961 

    +

    962 buffer_size_state = 0 

    +

    963 var_indexes_to_remove: Set[int] = set() 

    +

    964 for i_var in range(file_metadata.number_of_variables): 

    +

    965 var_info = file_metadata.variable_infos[i_var] 

    +

    966 variable_name = var_info.name.decode("utf-8") 

    +

    967 variable_category = FemzipVariableCategory.from_int(var_info.var_type) 

    +

    968 if variable_category == FemzipVariableCategory.NODE: 

    +

    969 

    +

    970 variable_multiplier = 1 

    +

    971 if ( 

    +

    972 FemzipArrayType.NODE_DISPLACEMENT.value in variable_name 

    +

    973 or FemzipArrayType.NODE_VELOCITIES.value in variable_name 

    +

    974 or FemzipArrayType.NODE_ACCELERATIONS.value in variable_name 

    +

    975 ): 

    +

    976 variable_multiplier = 3 

    +

    977 

    +

    978 array_size = file_metadata.number_of_nodes * variable_multiplier 

    +

    979 buffer_size_state += array_size 

    +

    980 file_metadata.variable_infos[i_var].var_size = array_size 

    +

    981 

    +

    982 elif variable_category == FemzipVariableCategory.SHELL: 

    +

    983 array_size = ( 

    +

    984 file_metadata.number_of_shell_elements 

    +

    985 - file_metadata.number_of_rigid_shell_elements 

    +

    986 ) 

    +

    987 file_metadata.variable_infos[i_var].var_size = array_size 

    +

    988 buffer_size_state += array_size 

    +

    989 elif variable_category == FemzipVariableCategory.SOLID: 

    +

    990 array_size = file_metadata.number_of_solid_elements 

    +

    991 file_metadata.variable_infos[i_var].var_size = array_size 

    +

    992 buffer_size_state += array_size 

    +

    993 elif variable_category == FemzipVariableCategory.BEAM: 

    +

    994 array_size = file_metadata.number_of_1D_elements 

    +

    995 file_metadata.variable_infos[i_var].var_size = array_size 

    +

    996 buffer_size_state += file_metadata.number_of_1D_elements 

    +

    997 elif variable_category == FemzipVariableCategory.THICK_SHELL: 

    +

    998 array_size = file_metadata.number_of_thick_shell_elements 

    +

    999 file_metadata.variable_infos[i_var].var_size = array_size 

    +

    1000 buffer_size_state += file_metadata.number_of_thick_shell_elements 

    +

    1001 elif variable_category == FemzipVariableCategory.GLOBAL: 

    +

    1002 array_size = 6 

    +

    1003 file_metadata.variable_infos[i_var].var_size = array_size 

    +

    1004 buffer_size_state += array_size 

    +

    1005 elif variable_category == FemzipVariableCategory.PART: 

    +

    1006 logging.debug("n_parts: %d", n_parts) 

    +

    1007 array_size = n_parts * 7 + n_rigid_walls * n_rigid_wall_vars 

    +

    1008 file_metadata.variable_infos[i_var].var_size = array_size 

    +

    1009 buffer_size_state += array_size 

    +

    1010 elif variable_category == FemzipVariableCategory.CPM_FLOAT_VAR: 

    +

    1011 array_size = n_airbag_particles 

    +

    1012 file_metadata.variable_infos[i_var].var_size = array_size 

    +

    1013 buffer_size_state += array_size 

    +

    1014 elif variable_category == FemzipVariableCategory.CPM_INT_VAR: 

    +

    1015 array_size = n_airbag_particles 

    +

    1016 file_metadata.variable_infos[i_var].var_size = array_size 

    +

    1017 buffer_size_state += array_size 

    +

    1018 elif variable_category == FemzipVariableCategory.CPM_AIRBAG: 

    +

    1019 array_size = n_airbags * 2 

    +

    1020 file_metadata.variable_infos[i_var].var_size = array_size 

    +

    1021 buffer_size_state += array_size 

    +

    1022 else: 

    +

    1023 warn_msg = "Femzip variable category '%s' is not supported" 

    +

    1024 logging.warning(warn_msg, variable_category) 

    +

    1025 var_indexes_to_remove.add(i_var) 

    +

    1026 

    +

    1027 # one more for end marker 

    +

    1028 buffer_size_state += 1 

    +

    1029 

    +

    1030 return buffer_size_state 

    +

    1031 

    +

    1032 def _decompose_read_variables_array( 

    +

    1033 self, 

    +

    1034 n_parts: int, 

    +

    1035 n_rigid_walls: int, 

    +

    1036 n_rigid_wall_vars: int, 

    +

    1037 n_airbag_particles: int, 

    +

    1038 n_airbags: int, 

    +

    1039 all_vars_array: np.ndarray, 

    +

    1040 n_timesteps_read: int, 

    +

    1041 file_metadata: FemzipFileMetadata, 

    +

    1042 ) -> Dict[Tuple[int, str, FemzipVariableCategory], np.ndarray]: 

    +

    1043 

    +

    1044 # pylint: disable=too-many-arguments 

    +

    1045 # pylint: disable=too-many-locals 

    +

    1046 # pylint: disable=too-many-branches 

    +

    1047 # pylint: disable=too-many-statements 

    +

    1048 

    +

    1049 # decompose array 

    +

    1050 result_arrays: Dict[Tuple[int, str, FemzipVariableCategory], np.ndarray] = {} 

    +

    1051 var_pos = 0 

    +

    1052 for i_var in range(file_metadata.number_of_variables): 

    +

    1053 

    +

    1054 var_info: VariableInfo = file_metadata.variable_infos[i_var] 

    +

    1055 variable_name: str = var_info.name.decode("utf-8") 

    +

    1056 variable_index: int = var_info.var_index 

    +

    1057 variable_type = FemzipArrayType.from_string(variable_name) 

    +

    1058 variable_category = FemzipVariableCategory.from_int(var_info.var_type) 

    +

    1059 

    +

    1060 if variable_category == FemzipVariableCategory.NODE: 

    +

    1061 if variable_type.value in ( 

    +

    1062 FemzipArrayType.NODE_DISPLACEMENT.value, 

    +

    1063 FemzipArrayType.NODE_VELOCITIES.value, 

    +

    1064 FemzipArrayType.NODE_ACCELERATIONS.value, 

    +

    1065 ): 

    +

    1066 array_size = file_metadata.number_of_nodes * 3 

    +

    1067 var_array = all_vars_array[:, var_pos : var_pos + array_size].reshape( 

    +

    1068 (n_timesteps_read, file_metadata.number_of_nodes, 3) 

    +

    1069 ) 

    +

    1070 var_pos += array_size 

    +

    1071 result_arrays[ 

    +

    1072 (variable_index, variable_name, FemzipVariableCategory.NODE) 

    +

    1073 ] = var_array 

    +

    1074 else: 

    +

    1075 array_size = file_metadata.number_of_nodes 

    +

    1076 var_array = all_vars_array[:, var_pos : var_pos + array_size] 

    +

    1077 var_pos += array_size 

    +

    1078 result_arrays[ 

    +

    1079 (variable_index, variable_name, FemzipVariableCategory.NODE) 

    +

    1080 ] = var_array 

    +

    1081 

    +

    1082 elif variable_category == FemzipVariableCategory.SHELL: 

    +

    1083 array_size = ( 

    +

    1084 file_metadata.number_of_shell_elements 

    +

    1085 - file_metadata.number_of_rigid_shell_elements 

    +

    1086 ) 

    +

    1087 var_array = all_vars_array[:, var_pos : var_pos + array_size] 

    +

    1088 var_pos += array_size 

    +

    1089 result_arrays[ 

    +

    1090 (variable_index, variable_name, FemzipVariableCategory.SHELL) 

    +

    1091 ] = var_array 

    +

    1092 elif variable_category == FemzipVariableCategory.SOLID: 

    +

    1093 array_size = file_metadata.number_of_solid_elements 

    +

    1094 var_array = all_vars_array[:, var_pos : var_pos + array_size] 

    +

    1095 var_pos += array_size 

    +

    1096 result_arrays[ 

    +

    1097 (variable_index, variable_name, FemzipVariableCategory.SOLID) 

    +

    1098 ] = var_array 

    +

    1099 elif variable_category == FemzipVariableCategory.BEAM: 

    +

    1100 array_size = file_metadata.number_of_1D_elements 

    +

    1101 var_array = all_vars_array[:, var_pos : var_pos + array_size] 

    +

    1102 var_pos += array_size 

    +

    1103 result_arrays[ 

    +

    1104 variable_index, variable_name, FemzipVariableCategory.BEAM 

    +

    1105 ] = var_array 

    +

    1106 elif variable_category == FemzipVariableCategory.THICK_SHELL: 

    +

    1107 array_size = file_metadata.number_of_thick_shell_elements 

    +

    1108 var_array = all_vars_array[:, var_pos : var_pos + array_size] 

    +

    1109 var_pos += array_size 

    +

    1110 result_arrays[ 

    +

    1111 variable_index, variable_name, FemzipVariableCategory.THICK_SHELL 

    +

    1112 ] = var_array 

    +

    1113 elif variable_category == FemzipVariableCategory.GLOBAL: 

    +

    1114 array_size = 6 

    +

    1115 var_array = all_vars_array[:, var_pos : var_pos + array_size] 

    +

    1116 var_pos += array_size 

    +

    1117 result_arrays[ 

    +

    1118 variable_index, variable_name, FemzipVariableCategory.GLOBAL 

    +

    1119 ] = var_array 

    +

    1120 elif variable_category == FemzipVariableCategory.PART: 

    +

    1121 array_size = n_parts * 7 + n_rigid_walls * n_rigid_wall_vars 

    +

    1122 var_array = all_vars_array[:, var_pos : var_pos + array_size] 

    +

    1123 var_pos += array_size 

    +

    1124 result_arrays[ 

    +

    1125 variable_index, variable_name, FemzipVariableCategory.PART 

    +

    1126 ] = var_array 

    +

    1127 elif variable_category == FemzipVariableCategory.CPM_FLOAT_VAR: 

    +

    1128 array_size = n_airbag_particles 

    +

    1129 var_array = all_vars_array[:, var_pos : var_pos + array_size] 

    +

    1130 var_pos += array_size 

    +

    1131 result_arrays[variable_index, variable_name, variable_category] = var_array 

    +

    1132 elif variable_category == FemzipVariableCategory.CPM_INT_VAR: 

    +

    1133 array_size = n_airbag_particles 

    +

    1134 var_array = all_vars_array[:, var_pos : var_pos + array_size].view(np.int32) 

    +

    1135 var_pos += array_size 

    +

    1136 result_arrays[variable_index, variable_name, variable_category] = var_array 

    +

    1137 elif variable_category == FemzipVariableCategory.CPM_AIRBAG: 

    +

    1138 n_airbag_vars = 2 

    +

    1139 array_size = n_airbags * n_airbag_vars 

    +

    1140 var_array = all_vars_array[:, var_pos : var_pos + array_size] 

    +

    1141 var_array = var_array.reshape((var_array.shape[0], n_airbags, n_airbag_vars)) 

    +

    1142 var_pos += array_size 

    +

    1143 result_arrays[variable_index, variable_name, variable_category] = var_array 

    +

    1144 else: 

    +

    1145 err_msg = "Femzip variable category '{0}' is not supported" 

    +

    1146 raise RuntimeError(err_msg) 

    +

    1147 

    +

    1148 return result_arrays 

    +

    1149 

    +

    1150 def read_variables( 

    +

    1151 self, 

    +

    1152 file_metadata: FemzipFileMetadata, 

    +

    1153 n_parts: int, 

    +

    1154 n_rigid_walls: int, 

    +

    1155 n_rigid_wall_vars: int, 

    +

    1156 n_airbag_particles: int, 

    +

    1157 n_airbags: int, 

    +

    1158 state_filter: Union[Set[int], None] = None, 

    +

    1159 ) -> Dict[Tuple[int, str, FemzipVariableCategory], np.ndarray]: 

    +

    1160 """Read specific variables from Femzip 

    +

    1161 

    +

    1162 Parameters 

    +

    1163 ---------- 

    +

    1164 file_metadata: FemzipFileMetadata 

    +

    1165 metadata of file including which variables to read 

    +

    1166 n_parts: int 

    +

    1167 number of parts in the file 

    +

    1168 n_rigid_walls: int 

    +

    1169 number of rigid walls 

    +

    1170 n_rigid_wall_vars: int 

    +

    1171 number of rigid wall variables 

    +

    1172 n_airbag_particles: int 

    +

    1173 number of airbag particles in the file 

    +

    1174 n_airbags: int 

    +

    1175 state_filter: Union[Set[int], None] 

    +

    1176 used to read specific arrays 

    +

    1177 

    +

    1178 Returns 

    +

    1179 ------- 

    +

    1180 arrays: dict 

    +

    1181 dictionary with d3plot arrays 

    +

    1182 

    +

    1183 Notes 

    +

    1184 ----- 

    +

    1185 Uses extended femzip library and requires a license 

    +

    1186 for 'FEMUNZIPLIB_DYNA'. Please contact sidact if 

    +

    1187 required. 

    +

    1188 """ 

    +

    1189 

    +

    1190 # pylint: disable = too-many-arguments 

    +

    1191 # pylint: disable = too-many-locals 

    +

    1192 

    +

    1193 # fetch metadata if required 

    +

    1194 n_timesteps = file_metadata.number_of_timesteps 

    +

    1195 logging.info("file_metadata: %s", self.struct_to_dict(file_metadata)) 

    +

    1196 

    +

    1197 # log variable names 

    +

    1198 for i_var in range(file_metadata.number_of_variables): 

    +

    1199 var_info = file_metadata.variable_infos[i_var] 

    +

    1200 logging.debug("%s", self.struct_to_dict(var_info)) 

    +

    1201 

    +

    1202 # estimate float buffer size 

    +

    1203 buffer_size_state = self._get_variables_state_buffer_size( 

    +

    1204 n_parts=n_parts, 

    +

    1205 n_rigid_walls=n_rigid_walls, 

    +

    1206 n_rigid_wall_vars=n_rigid_wall_vars, 

    +

    1207 n_airbag_particles=n_airbag_particles, 

    +

    1208 n_airbags=n_airbags, 

    +

    1209 file_metadata=file_metadata, 

    +

    1210 ) 

    +

    1211 logging.info("buffer_size_state: %s", buffer_size_state) 

    +

    1212 

    +

    1213 # specify which states to read 

    +

    1214 states_to_copy = ( 

    +

    1215 {i_timestep for i_timestep in state_filter if i_timestep < n_timesteps + 1} 

    +

    1216 if state_filter is not None 

    +

    1217 else set(range(n_timesteps)) 

    +

    1218 ) 

    +

    1219 logging.info("states_to_copy: %s", states_to_copy) 

    +

    1220 

    +

    1221 # take timesteps into account 

    +

    1222 buffer_size = len(states_to_copy) * buffer_size_state 

    +

    1223 logging.info("buffer_size: %s", buffer_size) 

    +

    1224 

    +

    1225 # allocate memory 

    +

    1226 # pylint: disable = invalid-name 

    +

    1227 BufferType = c_float * buffer_size 

    +

    1228 buffer = BufferType() 

    +

    1229 

    +

    1230 # do the thing 

    +

    1231 # pylint: disable = invalid-name 

    +

    1232 BufferStateType = c_float * buffer_size_state 

    +

    1233 n_timesteps_read = 0 

    +

    1234 for i_timestep in range(n_timesteps): 

    +

    1235 logging.info("timestep: %d", i_timestep) 

    +

    1236 

    +

    1237 buffer_ptr_state = BufferStateType.from_buffer( 

    +

    1238 buffer, sizeof(c_float) * n_timesteps_read * buffer_size_state 

    +

    1239 ) 

    +

    1240 

    +

    1241 # read the variables into the buffer 

    +

    1242 fortran_offset = 1 

    +

    1243 err = self.api.read_variables( 

    +

    1244 buffer_ptr_state, 

    +

    1245 buffer_size_state, 

    +

    1246 i_timestep + fortran_offset, 

    +

    1247 byref(file_metadata), 

    +

    1248 ) 

    +

    1249 self._check_femzip_error(err) 

    +

    1250 

    +

    1251 # check if there is nothing to read anymore 

    +

    1252 # thus we can terminate earlier 

    +

    1253 if i_timestep in states_to_copy: 

    +

    1254 states_to_copy.remove(i_timestep) 

    +

    1255 n_timesteps_read += 1 

    +

    1256 

    +

    1257 if not states_to_copy: 

    +

    1258 logging.info("All states processed") 

    +

    1259 break 

    +

    1260 

    +

    1261 array = np.ctypeslib.as_array(buffer, shape=(buffer_size,)).reshape((n_timesteps_read, -1)) 

    +

    1262 

    +

    1263 # decompose total array into array pieces again 

    +

    1264 result_arrays = self._decompose_read_variables_array( 

    +

    1265 n_parts=n_parts, 

    +

    1266 n_rigid_walls=n_rigid_walls, 

    +

    1267 n_rigid_wall_vars=n_rigid_wall_vars, 

    +

    1268 n_airbag_particles=n_airbag_particles, 

    +

    1269 n_airbags=n_airbags, 

    +

    1270 all_vars_array=array, 

    +

    1271 n_timesteps_read=n_timesteps_read, 

    +

    1272 file_metadata=file_metadata, 

    +

    1273 ) 

    +

    1274 

    +

    1275 return result_arrays 

    +

    1276 

    +

    1277 def _copy_variable_info_array(self, file_metadata: FemzipFileMetadata) -> FemzipFileMetadata: 

    +

    1278 """Copies a variable info array into python memory 

    +

    1279 

    +

    1280 Parameters 

    +

    1281 ---------- 

    +

    1282 file_metadata: FemzipFileMetadata 

    +

    1283 metadata object for femzip file 

    +

    1284 

    +

    1285 Returns 

    +

    1286 ------- 

    +

    1287 file_metadata2: FemzipFileMetadata 

    +

    1288 very same data object but the data in 

    +

    1289 variable_infos is now managed by python and 

    +

    1290 not C anymore 

    +

    1291 """ 

    +

    1292 file_metadata2 = FemzipFileMetadata() 

    +

    1293 

    +

    1294 # allocate memory on python side 

    +

    1295 data2 = (VariableInfo * file_metadata.number_of_variables)() 

    +

    1296 

    +

    1297 # copy data 

    +

    1298 for i_var in range(file_metadata.number_of_variables): 

    +

    1299 var1 = file_metadata.variable_infos[i_var] 

    +

    1300 var2 = data2[i_var] 

    +

    1301 self.copy_struct(var1, var2) 

    +

    1302 

    +

    1303 # assign 

    +

    1304 self.copy_struct(file_metadata, file_metadata2) 

    +

    1305 file_metadata2.variable_infos = data2 

    +

    1306 return file_metadata2 

    +

    1307 

    +

    1308 

    +

    1309class FemzipD3plotArrayMapping: 

    +

    1310 """Contains information about how to map femzip arrays to d3plot arrays""" 

    +

    1311 

    +

    1312 d3plot_array_type: str 

    +

    1313 i_integration_point: Union[int, None] 

    +

    1314 i_var_index: Union[int, None] 

    +

    1315 

    +

    1316 fz_array_slices = Tuple[slice] 

    +

    1317 

    +

    1318 def __init__( 

    +

    1319 self, 

    +

    1320 d3plot_array_type: str, 

    +

    1321 fz_array_slices: Tuple[slice] = (slice(None),), 

    +

    1322 i_integration_point: Union[int, None] = None, 

    +

    1323 i_var_index: Union[int, None] = None, 

    +

    1324 ): 

    +

    1325 self.d3plot_array_type = d3plot_array_type 

    +

    1326 self.fz_array_slices = fz_array_slices 

    +

    1327 self.i_integration_point = i_integration_point 

    +

    1328 self.i_var_index = i_var_index 

    +

    1329 

    +

    1330 

    +

    1331class FemzipArrayMetadata: 

    +

    1332 """Contains metadata about femzip arrays""" 

    +

    1333 

    +

    1334 array_type: FemzipArrayType 

    +

    1335 category: FemzipVariableCategory 

    +

    1336 d3plot_mappings: List[FemzipD3plotArrayMapping] 

    +

    1337 # set when parsed 

    +

    1338 fz_var_index: Union[int, None] = None 

    +

    1339 

    +

    1340 def __init__( 

    +

    1341 self, 

    +

    1342 array_type: FemzipArrayType, 

    +

    1343 category: FemzipVariableCategory, 

    +

    1344 d3plot_mappings: List[FemzipD3plotArrayMapping], 

    +

    1345 ): 

    +

    1346 self.array_type = array_type 

    +

    1347 self.category = category 

    +

    1348 self.d3plot_mappings = d3plot_mappings 

    +

    1349 

    +

    1350 def match(self, fz_name: str) -> bool: 

    +

    1351 """Checks if the given name matches the array 

    +

    1352 

    +

    1353 Parameters 

    +

    1354 ---------- 

    +

    1355 fz_name: str 

    +

    1356 femzip array name 

    +

    1357 

    +

    1358 Returns 

    +

    1359 ------- 

    +

    1360 match: bool 

    +

    1361 If the array metadata instance matches the given array 

    +

    1362 """ 

    +

    1363 return self.array_type.value in fz_name 

    +

    1364 

    +

    1365 def parse(self, fz_var_name: str, fz_var_index: int) -> None: 

    +

    1366 """Parses the incoming femzip variable name and extracts infos 

    +

    1367 

    +

    1368 Parameters 

    +

    1369 ---------- 

    +

    1370 fz_var_name: str 

    +

    1371 variable name from femzip 

    +

    1372 fz_var_index: int 

    +

    1373 variable index from femzip 

    +

    1374 """ 

    +

    1375 # matches anything until brackets start 

    +

    1376 pattern = re.compile(r"(^[^\(\n]+)(\([^\)]+\))*") 

    +

    1377 

    +

    1378 matches = pattern.findall(fz_var_name) 

    +

    1379 

    +

    1380 if not len(matches) == 1: 

    +

    1381 err_msg = f"Could not match femzip array name: {fz_var_name}" 

    +

    1382 raise RuntimeError(err_msg) 

    +

    1383 if not len(matches[0]) == 2: 

    +

    1384 err_msg = f"Could not match femzip array name: {fz_var_name}" 

    +

    1385 raise RuntimeError(err_msg) 

    +

    1386 

    +

    1387 # first group contains 

    +

    1388 # - var name 

    +

    1389 # - var index (if existing) 

    +

    1390 # second group contains 

    +

    1391 # - integration layer index 

    +

    1392 (first_grp, second_grp) = matches[0] 

    +

    1393 _, var_index = get_last_int_of_line(first_grp) 

    +

    1394 

    +

    1395 # the slice 1:-1 leaves out the brackets '(' and ')' 

    +

    1396 second_grp = second_grp[1:-1] 

    +

    1397 if "inner" in second_grp: 

    +

    1398 i_integration_point = 0 

    +

    1399 elif "outer" in second_grp: 

    +

    1400 i_integration_point = 1 

    +

    1401 else: 

    +

    1402 _, i_integration_point = get_last_int_of_line(second_grp) 

    +

    1403 

    +

    1404 # setters 

    +

    1405 self.fz_var_index = fz_var_index 

    +

    1406 for mapping in self.d3plot_mappings: 

    +

    1407 mapping.i_integration_point = i_integration_point 

    +

    1408 mapping.i_var_index = var_index 

    +
    + + + diff --git a/coverage/d_f6cb54d84c129274_fz_config_py.html b/coverage/d_f6cb54d84c129274_fz_config_py.html new file mode 100644 index 0000000..e29389c --- /dev/null +++ b/coverage/d_f6cb54d84c129274_fz_config_py.html @@ -0,0 +1,324 @@ + + + + + Coverage for lasso/femzip/fz_config.py: 95% + + + + + +
    +
    +

    + Coverage for lasso/femzip/fz_config.py: + 95% +

    + +

    + 113 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1from typing import Dict, Union, Tuple 

    +

    2 

    +

    3import enum 

    +

    4 

    +

    5 

    +

    6def get_last_int_of_line(line: str) -> Tuple[str, Union[None, int]]: 

    +

    7 """Searches an integer in the line 

    +

    8 

    +

    9 Parameters 

    +

    10 ---------- 

    +

    11 line: str 

    +

    12 line to be searched 

    +

    13 

    +

    14 Returns 

    +

    15 ------- 

    +

    16 rest_line: str 

    +

    17 rest of line before match 

    +

    18 number: Union[int, None] 

    +

    19 number or None if not found 

    +

    20 """ 

    +

    21 for entry in line.split(): 

    +

    22 if entry.isdigit(): 

    +

    23 return line[: line.rfind(entry)], int(entry) 

    +

    24 return line, None 

    +

    25 

    +

    26 

    +

    27class FemzipVariableCategory(enum.Enum): 

    +

    28 """Enum for femzip variable categories 

    +

    29 

    +

    30 Attributes 

    +

    31 ---------- 

    +

    32 GEOMETRY: int 

    +

    33 -5 

    +

    34 PART: int 

    +

    35 -2 

    +

    36 GLOBAL: int 

    +

    37 -1 

    +

    38 NODE: int 

    +

    39 0 

    +

    40 SOLID: int 

    +

    41 1 

    +

    42 THICK_SHELL: int 

    +

    43 2 

    +

    44 BEAM: int 

    +

    45 3 

    +

    46 TOOLS: int 

    +

    47 4 

    +

    48 SHELL: int 

    +

    49 5 

    +

    50 SPH: int 

    +

    51 6 

    +

    52 FPM: int 

    +

    53 7 

    +

    54 CFD: int 

    +

    55 8 

    +

    56 CPM_FLOAT_VAR: int 

    +

    57 9 

    +

    58 CPM_AIRBAG: int 

    +

    59 10 

    +

    60 CPM_INT_VAR: int 

    +

    61 11 

    +

    62 RADIOSS_STATE_DATA: int 

    +

    63 12 

    +

    64 HEXA20: int 

    +

    65 13 

    +

    66 """ 

    +

    67 

    +

    68 GEOMETRY = -5 

    +

    69 # REST_OF_HEADER_AND_GEOMETRY_UNCOMPRESSED = -3 

    +

    70 # ALL_STATE_EXCEPT_GEOMETRY_POSITION = -2 

    +

    71 # REST_OF_HEADER_AND_GEOMETRY_COMPRESSED = -1 

    +

    72 # EXTERNAL_NODE_IDS = 1 

    +

    73 # NODE_COORDINATES = 2 

    +

    74 # SOLID_ELEMENT_IDS = 3 

    +

    75 # SOLID_NEIGHBORS = 4 

    +

    76 # SOLID_MATERIALS = 5 

    +

    77 # THICK_SHELLS = (6, 7, 8) 

    +

    78 # BEAMS = (9, 10, 11) 

    +

    79 # TOOL_ELEMENTS = (12, 13, 14) 

    +

    80 # SHELL_ELEMENTS = (15, 16, 17) 

    +

    81 # HEADER_AND_PART_TITLES = -4 

    +

    82 # TIME = -3 

    +

    83 PART = -2 

    +

    84 GLOBAL = -1 

    +

    85 NODE = 0 

    +

    86 SOLID = 1 

    +

    87 THICK_SHELL = 2 

    +

    88 BEAM = 3 

    +

    89 TOOLS = 4 

    +

    90 SHELL = 5 

    +

    91 SPH = 6 

    +

    92 FPM = 7 

    +

    93 CFD = 8 

    +

    94 CPM_FLOAT_VAR = 9 

    +

    95 CPM_AIRBAG = 10 

    +

    96 CPM_INT_VAR = 11 

    +

    97 RADIOSS_STATE_DATA = 12 

    +

    98 HEXA20 = 13 

    +

    99 

    +

    100 @staticmethod 

    +

    101 def from_int(number: int) -> "FemzipVariableCategory": 

    +

    102 """Deserializes an integer into an enum 

    +

    103 

    +

    104 Parameters 

    +

    105 ---------- 

    +

    106 number: int 

    +

    107 number to turn into an enum 

    +

    108 

    +

    109 Returns 

    +

    110 ------- 

    +

    111 enum_value: FemzipVariableCategory 

    +

    112 """ 

    +

    113 if number not in FEMZIP_CATEGORY_TRANSL_DICT: 

    +

    114 err_msg = f"Error: Unknown femzip variable category: '{number}'" 

    +

    115 raise RuntimeError(err_msg) 

    +

    116 

    +

    117 return FEMZIP_CATEGORY_TRANSL_DICT[number] 

    +

    118 

    +

    119 

    +

    120FEMZIP_CATEGORY_TRANSL_DICT: Dict[int, FemzipVariableCategory] = { 

    +

    121 entry.value: entry for entry in FemzipVariableCategory.__members__.values() 

    +

    122} 

    +

    123 

    +

    124 

    +

    125class FemzipArrayType(enum.Enum): 

    +

    126 """Enum for femzip array types""" 

    +

    127 

    +

    128 GLOBAL_DATA = "global" 

    +

    129 PART_RESULTS = "Parts: Energies and others" 

    +

    130 # nodes 

    +

    131 NODE_DISPLACEMENT = "coordinates" 

    +

    132 NODE_TEMPERATURES = "temperatures" 

    +

    133 NODE_ACCELERATIONS = "accelerations" 

    +

    134 NODE_HEAT_FLUX = "heat_flux" 

    +

    135 NODE_MASS_SCALING = "mass_scaling" 

    +

    136 NODE_TEMPERATURE_GRADIENT = "dtdt" 

    +

    137 NODE_VELOCITIES = "velocities" 

    +

    138 

    +

    139 # beam 

    +

    140 BEAM_S_SHEAR_RESULTANT = "s_shear_resultant" 

    +

    141 BEAM_T_SHEAR_RESULTANT = "t_shear_resultant" 

    +

    142 BEAM_S_BENDING_MOMENT = "s_bending_moment" 

    +

    143 BEAM_T_BENDING_MOMENT = "t_bending_moment" 

    +

    144 BEAM_AXIAL_FORCE = "axial_force" 

    +

    145 BEAM_TORSIONAL_MOMENT = "torsional_resultant" 

    +

    146 BEAM_AXIAL_STRESS = "axial_stress" 

    +

    147 BEAM_SHEAR_STRESS_RS = "RS_shear_stress" 

    +

    148 BEAM_SHEAR_STRESS_TR = "TR_shear_stress" 

    +

    149 BEAM_PLASTIC_STRAIN = "plastic_strain" 

    +

    150 BEAM_AXIAL_STRAIN = "axial_strain" 

    +

    151 

    +

    152 # airbag 

    +

    153 AIRBAG_STATE_GEOM = "CPMs_state_geometry" 

    +

    154 AIRBAG_PARTICLE_POS_X = "Pos x" 

    +

    155 AIRBAG_PARTICLE_POS_Y = "Pos y" 

    +

    156 AIRBAG_PARTICLE_POS_Z = "Pos z" 

    +

    157 AIRBAG_PARTICLE_VEL_X = "Vel x" 

    +

    158 AIRBAG_PARTICLE_VEL_Y = "Vel y" 

    +

    159 AIRBAG_PARTICLE_VEL_Z = "Vel z" 

    +

    160 AIRBAG_PARTICLE_MASS = "Mass" 

    +

    161 AIRBAG_PARTICLE_RADIUS = "Radius" 

    +

    162 AIRBAG_PARTICLE_SPIN_ENERGY = "Spin En" 

    +

    163 AIRBAG_PARTICLE_TRAN_ENERGY = "Tran En" 

    +

    164 AIRBAG_PARTICLE_NEIGHBOR_DIST = "NS dist" 

    +

    165 AIRBAG_PARTICLE_GAS_CHAMBER_ID = "GasC ID" 

    +

    166 AIRBAG_PARTICLE_CHAMBER_ID = "Cham ID" 

    +

    167 AIRBAG_PARTICLE_LEAKAGE = "Leakage" 

    +

    168 

    +

    169 STRESS_X = "Sigma-x" 

    +

    170 STRESS_Y = "Sigma-y" 

    +

    171 STRESS_Z = "Sigma-z" 

    +

    172 STRESS_XY = "Sigma-xy" 

    +

    173 STRESS_YZ = "Sigma-yz" 

    +

    174 STRESS_XZ = "Sigma-zx" 

    +

    175 EFF_PSTRAIN = "Effective plastic strain" 

    +

    176 HISTORY_VARS = "extra_value_per_element" 

    +

    177 BENDING_MOMENT_MX = "bending_moment Mx" 

    +

    178 BENDING_MOMENT_MY = "bending_moment My" 

    +

    179 BENDING_MOMENT_MXY = "bending_moment Mxy" 

    +

    180 SHEAR_FORCE_X = "shear_resultant Qx" 

    +

    181 SHEAR_FORCE_Y = "shear_resultant Qy" 

    +

    182 NORMAL_FORCE_X = "normal_resultant Nx" 

    +

    183 NORMAL_FORCE_Y = "normal_resultant Ny" 

    +

    184 NORMAL_FORCE_XY = "normal_resultant Nxy" 

    +

    185 THICKNESS = "thickness" 

    +

    186 UNKNOWN_1 = "element_dependent_variable_1" 

    +

    187 UNKNOWN_2 = "element_dependent_variable_2" 

    +

    188 STRAIN_INNER_X = "Epsilon-x (inner)" 

    +

    189 STRAIN_INNER_Y = "Epsilon-y (inner)" 

    +

    190 STRAIN_INNER_Z = "Epsilon-z (inner)" 

    +

    191 STRAIN_INNER_XY = "Epsilon-xy (inner)" 

    +

    192 STRAIN_INNER_YZ = "Epsilon-yz (inner)" 

    +

    193 STRAIN_INNER_XZ = "Epsilon-zx (inner)" 

    +

    194 STRAIN_OUTER_X = "Epsilon-x (outer)" 

    +

    195 STRAIN_OUTER_Y = "Epsilon-y (outer)" 

    +

    196 STRAIN_OUTER_Z = "Epsilon-z (outer)" 

    +

    197 STRAIN_OUTER_XY = "Epsilon-xy (outer)" 

    +

    198 STRAIN_OUTER_YZ = "Epsilon-yz (outer)" 

    +

    199 STRAIN_OUTER_XZ = "Epsilon-zx (outer)" 

    +

    200 INTERNAL_ENERGY = "internal_energy" 

    +

    201 

    +

    202 STRAIN_X = "Epsilon-x (IP 1)" 

    +

    203 STRAIN_Y = "Epsilon-y (IP 1)" 

    +

    204 STRAIN_Z = "Epsilon-z (IP 1)" 

    +

    205 STRAIN_XY = "Epsilon-xy (IP 1)" 

    +

    206 STRAIN_YZ = "Epsilon-yz (IP 1)" 

    +

    207 STRAIN_XZ = "Epsilon-zx (IP 1)" 

    +

    208 

    +

    209 @staticmethod 

    +

    210 def from_string(femzip_name: str) -> "FemzipArrayType": 

    +

    211 """Converts a variable name to an array type string 

    +

    212 

    +

    213 Parameters 

    +

    214 ---------- 

    +

    215 femzip_name: str 

    +

    216 name of the variable given by femzip 

    +

    217 

    +

    218 Returns 

    +

    219 ------- 

    +

    220 femzip_array_type: FemzipArrayType 

    +

    221 """ 

    +

    222 for fz_array_type in FemzipArrayType.__members__.values(): 

    +

    223 if fz_array_type.value in femzip_name.strip(): 

    +

    224 return fz_array_type 

    +

    225 

    +

    226 err_msg = "Unknown femzip variable name: '{0}'" 

    +

    227 raise ValueError(err_msg.format(femzip_name)) 

    +
    + + + diff --git a/coverage/d_febbda7c1df641f6___init___py.html b/coverage/d_febbda7c1df641f6___init___py.html new file mode 100644 index 0000000..ce1bc85 --- /dev/null +++ b/coverage/d_febbda7c1df641f6___init___py.html @@ -0,0 +1,100 @@ + + + + + Coverage for lasso/dimred/__init__.py: 100% + + + + + +
    +
    +

    + Coverage for lasso/dimred/__init__.py: + 100% +

    + +

    + 2 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1from .dimred_run import DimredRun, DimredStage 

    +

    2 

    +

    3__all__ = ["DimredRun", "DimredStage"] 

    +
    + + + diff --git a/coverage/d_febbda7c1df641f6_dimred_run_py.html b/coverage/d_febbda7c1df641f6_dimred_run_py.html new file mode 100644 index 0000000..cc610ec --- /dev/null +++ b/coverage/d_febbda7c1df641f6_dimred_run_py.html @@ -0,0 +1,1177 @@ + + + + + Coverage for lasso/dimred/dimred_run.py: 65% + + + + + +
    +
    +

    + Coverage for lasso/dimred/dimred_run.py: + 65% +

    + +

    + 451 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import argparse 

    +

    2import enum 

    +

    3import glob 

    +

    4import os 

    +

    5import re 

    +

    6import shutil 

    +

    7import sys 

    +

    8import time 

    +

    9from concurrent.futures.process import ProcessPoolExecutor 

    +

    10from typing import Sequence, Tuple, Union 

    +

    11 

    +

    12import h5py 

    +

    13import numpy as np 

    +

    14import psutil 

    +

    15from rich.console import Console 

    +

    16from rich.progress import BarColumn, Progress 

    +

    17from rich.table import Table 

    +

    18from rich.text import Text 

    +

    19 

    +

    20from ..utils.rich_progress_bars import PlaceHolderBar, WorkingDots 

    +

    21from .svd.clustering_betas import create_cluster_arg_dict, create_detector_arg_dict, group_betas 

    +

    22from .svd.plot_beta_clusters import plot_clusters_js 

    +

    23from .svd.pod_functions import calculate_v_and_betas 

    +

    24from .svd.subsampling_methods import create_reference_subsample, remap_random_subsample 

    +

    25 

    +

    26# pylint: disable = too-many-lines 

    +

    27 

    +

    28 

    +

    29class DimredRunError(Exception): 

    +

    30 """Custom exception for errors during the dimensionality reduction""" 

    +

    31 

    +

    32 def __init__(self, msg): 

    +

    33 self.message = msg 

    +

    34 

    +

    35 

    +

    36def get_application_header(): 

    +

    37 """Prints the header of the command line tool""" 

    +

    38 

    +

    39 return """ 

    +

    40 

    +

    41 ==== LASSO - AI ==== 

    +

    42 

    +

    43 visit us: [link=http://www.lasso.de/en]www.lasso.de/en[/link] 

    +

    44 mail: lasso@lasso.de 

    +

    45 """ 

    +

    46 

    +

    47 

    +

    48def timestamp() -> str: 

    +

    49 """Get current timestamp as string 

    +

    50 

    +

    51 Returns 

    +

    52 ------- 

    +

    53 timestamp : str 

    +

    54 current timestamp as string 

    +

    55 """ 

    +

    56 

    +

    57 def add_zero(in_str) -> str: 

    +

    58 if len(in_str) == 1: 

    +

    59 return "0" + in_str 

    +

    60 return in_str 

    +

    61 

    +

    62 loc_time = time.localtime()[3:6] 

    +

    63 h_str = add_zero(str(loc_time[0])) 

    +

    64 m_str = add_zero(str(loc_time[1])) 

    +

    65 s_str = add_zero(str(loc_time[2])) 

    +

    66 t_str = "[" + h_str + ":" + m_str + ":" + s_str + "]" 

    +

    67 return t_str 

    +

    68 

    +

    69 

    +

    70def parse_dimred_args(): 

    +

    71 """Parse the arguments from the command line 

    +

    72 

    +

    73 Returns 

    +

    74 ------- 

    +

    75 args : `argparse.Namespace` 

    +

    76 parsed arguments 

    +

    77 """ 

    +

    78 

    +

    79 parser = argparse.ArgumentParser( 

    +

    80 description="Python utility script for dimensionality reduction written by LASSO GmbH." 

    +

    81 ) 

    +

    82 

    +

    83 parser.add_argument( 

    +

    84 "simulation_runs", 

    +

    85 type=str, 

    +

    86 nargs="*", 

    +

    87 help="Simulation runs or patterns used to search for simulation runs.", 

    +

    88 ) 

    +

    89 parser.add_argument( 

    +

    90 "--reference-run", 

    +

    91 type=str, 

    +

    92 help="Optional. Set the reference run instead of using the first entry in simulation runs.", 

    +

    93 ) 

    +

    94 parser.add_argument( 

    +

    95 "--exclude-runs", 

    +

    96 type=str, 

    +

    97 nargs="*", 

    +

    98 default=[], 

    +

    99 help="Optional. Runs to exclude from the analysis.", 

    +

    100 ) 

    +

    101 parser.add_argument( 

    +

    102 "--start-stage", 

    +

    103 type=str, 

    +

    104 nargs="?", 

    +

    105 default=DIMRED_STAGES[0], 

    +

    106 help="Optional. " 

    +

    107 f"At which specific stage to start the analysis ({', '.join(DIMRED_STAGES)}).", 

    +

    108 ) 

    +

    109 parser.add_argument( 

    +

    110 "--end-stage", 

    +

    111 type=str, 

    +

    112 nargs="?", 

    +

    113 default=DIMRED_STAGES[-1], 

    +

    114 help="Optional. " 

    +

    115 f"At which specific stage to stop the analysis ({', '.join(DIMRED_STAGES)}).", 

    +

    116 ) 

    +

    117 parser.add_argument( 

    +

    118 "--project-dir", 

    +

    119 type=str, 

    +

    120 required=True, 

    +

    121 help="Project dir for temporary files. Must be specified to allow" 

    +

    122 + " restart at specific steps", 

    +

    123 ) 

    +

    124 parser.add_argument( 

    +

    125 "--embedding-images", 

    +

    126 type=str, 

    +

    127 default="", 

    +

    128 help="Optional. Path to folder containing images of runs. Sample names must be numbers", 

    +

    129 ) 

    +

    130 parser.add_argument( 

    +

    131 "--logfile-filepath", 

    +

    132 type=str, 

    +

    133 nargs="?", 

    +

    134 default="", 

    +

    135 help="Optional. Path for the logfile. A file will be created automatically" 

    +

    136 + "in the project dir if not specified.", 

    +

    137 ) 

    +

    138 parser.add_argument( 

    +

    139 "--n-processes", 

    +

    140 type=int, 

    +

    141 nargs="?", 

    +

    142 default=max(1, psutil.cpu_count() - 1), 

    +

    143 help="Optional. Number of processes to use (default: n_cpu-1).", 

    +

    144 ) 

    +

    145 parser.add_argument( 

    +

    146 "--part-ids", 

    +

    147 type=str, 

    +

    148 nargs="*", 

    +

    149 default=[], 

    +

    150 help="Optional. Part ids to process. By default all are taken.", 

    +

    151 ) 

    +

    152 parser.add_argument( 

    +

    153 "--timestep", 

    +

    154 type=int, 

    +

    155 default="-1", 

    +

    156 help="Optional. Sets timestep to analyse. Uses last timestep if not set.", 

    +

    157 ) 

    +

    158 parser.add_argument( 

    +

    159 "--html-name", 

    +

    160 type=str, 

    +

    161 default="3d-beta-plot", 

    +

    162 help="Optional. Sets the name of the generated 3D visualization. " 

    +

    163 + "Default is '3d_beta_plot'", 

    +

    164 ) 

    +

    165 parser.add_argument( 

    +

    166 "--html-timestamp", 

    +

    167 action="store_true", 

    +

    168 help="""Optional. If set, the visualization will include a timestamp of yymmdd_hhmmss, 

    +

    169 else the previous file will be overwritten""", 

    +

    170 ) 

    +

    171 parser.add_argument( 

    +

    172 "--cluster-args", 

    +

    173 type=str, 

    +

    174 nargs="*", 

    +

    175 help="Optional. Arguments for clustering algorithms. " 

    +

    176 + "If not set, clustering will be skipped.", 

    +

    177 ) 

    +

    178 parser.add_argument( 

    +

    179 "--outlier-args", 

    +

    180 type=str, 

    +

    181 nargs="*", 

    +

    182 help="Optional. Arguments for outlier detection before clustering.", 

    +

    183 ) 

    +

    184 

    +

    185 if len(sys.argv) < 2: 

    +

    186 parser.print_help() 

    +

    187 sys.exit(0) 

    +

    188 

    +

    189 return parser.parse_args(sys.argv[1:]) 

    +

    190 

    +

    191 

    +

    192class DimredStage(enum.Enum): 

    +

    193 """Enum for all stages of the dimenstionality reduction""" 

    +

    194 

    +

    195 REFERENCE_RUN = "REFERENCE_RUN" 

    +

    196 IMPORT_RUNS = "IMPORT_RUNS" 

    +

    197 REDUCTION = "REDUCTION" 

    +

    198 CLUSTERING = "CLUSTERING" 

    +

    199 EXPORT_PLOT = "EXPORT_PLOT" 

    +

    200 

    +

    201 

    +

    202DIMRED_STAGES = ( 

    +

    203 DimredStage.REFERENCE_RUN.value, 

    +

    204 DimredStage.IMPORT_RUNS.value, 

    +

    205 DimredStage.REDUCTION.value, 

    +

    206 DimredStage.CLUSTERING.value, 

    +

    207 DimredStage.EXPORT_PLOT.value, 

    +

    208) 

    +

    209 

    +

    210 

    +

    211class HDF5FileNames(enum.Enum): 

    +

    212 """Enum for arrays in the hdf5 file""" 

    +

    213 

    +

    214 SUBSAMPLE_SAVE_NAME = "subsample" 

    +

    215 SUBSAMPLED_GROUP_NAME = "subsampled_runs" 

    +

    216 BETAS_GROUP_NAME = "betas" 

    +

    217 V_ROB_SAVE_NAME = "v_rob" 

    +

    218 PLOT_LOAD_TIME = "t_load" 

    +

    219 SUBSAMPLE_PROCESS_TIME = "t_total" 

    +

    220 NR_CLUSTER = "nr_clusters" 

    +

    221 HAS_OUTLIERS = "has_outliers" 

    +

    222 OUTLIERS = "outlier" 

    +

    223 CLUSTER = "cluster" 

    +

    224 

    +

    225 

    +

    226class DimredRun: 

    +

    227 """Class to control and run the dimensionality reduction process""" 

    +

    228 

    +

    229 # pylint: disable = too-many-instance-attributes 

    +

    230 

    +

    231 reference_run: str 

    +

    232 simulation_runs: Sequence[str] 

    +

    233 exclude_runs: Sequence[str] 

    +

    234 project_dir: str 

    +

    235 img_path: Union[None, str] 

    +

    236 logfile_filepath: str 

    +

    237 n_processes: int 

    +

    238 part_ids: Sequence[int] 

    +

    239 timestep: int 

    +

    240 start_stage_index: int 

    +

    241 end_stage_index: int 

    +

    242 skip_valid: bool 

    +

    243 html_name: str 

    +

    244 html_set_timestamp: bool 

    +

    245 show_output: bool 

    +

    246 cluster_type: Union[None, str] 

    +

    247 detector_type: Union[None, str] 

    +

    248 cluster_args: Union[None, dict] 

    +

    249 detector_args: Union[None, dict] 

    +

    250 h5file: Union[None, h5py.File] 

    +

    251 use_folder_name: bool 

    +

    252 

    +

    253 def __init__( 

    +

    254 self, 

    +

    255 simulation_runs: Sequence[str], 

    +

    256 start_stage: str, 

    +

    257 end_stage: str, 

    +

    258 project_dir: str, 

    +

    259 html_name: str = "3d-beta-plot", 

    +

    260 html_set_timestamp: bool = False, 

    +

    261 reference_run: Union[str, None] = None, 

    +

    262 console: Union[Console, None] = None, 

    +

    263 img_path: Union[None, str] = None, 

    +

    264 exclude_runs: Union[None, Sequence[str]] = None, 

    +

    265 logfile_filepath: Union[str, None] = None, 

    +

    266 n_processes: int = 1, 

    +

    267 part_id_filter: Union[None, Sequence[int]] = None, 

    +

    268 timestep: int = -1, 

    +

    269 show_output: bool = True, 

    +

    270 cluster_args: Union[None, Sequence[str]] = None, 

    +

    271 outlier_args: Union[None, Sequence[str]] = None, 

    +

    272 ): 

    +

    273 """Class handling a dimensionality reduction 

    +

    274 

    +

    275 Parameters 

    +

    276 ---------- 

    +

    277 simulation_runs : Sequence[str] 

    +

    278 simulation runs to analyze 

    +

    279 start_stage: str 

    +

    280 where to start 

    +

    281 end_stage: str 

    +

    282 where to stop 

    +

    283 project_dir : Union[None, str] 

    +

    284 required project directory for creation of buffer files. Allows restart in between. 

    +

    285 html_name: str 

    +

    286 Name of the output .html file 

    +

    287 html_set_timestamp: bool 

    +

    288 If true, the output .html will include a timestamp (hh_mm_ss) at the end of the filename 

    +

    289 reference_run : str 

    +

    290 filepath to the reference run. 

    +

    291 If not set, first entry in simulation_runs will be used as reference run. 

    +

    292 console: Union[rich.console.Console, None], default: None 

    +

    293 Console for information printing and logging. 

    +

    294 Rich offers pretty text printing, syntax highlighting etc. 

    +

    295 img_path: Union[None, str] 

    +

    296 optional image directory to show images in visualization. 

    +

    297 exclude_runs: Union[Sequence[str], None] 

    +

    298 optional list of runs to exclude from processing 

    +

    299 logfile_filepath : Union[str, None] 

    +

    300 path of the log file (always appends) 

    +

    301 n_processes: int 

    +

    302 number of processes to use during execution 

    +

    303 part_id_filter: Union[Sequence[int], None] 

    +

    304 which part ids to process 

    +

    305 timestep: int, default: -1 

    +

    306 specifies timestep to analyze in clustering and show in output visualization 

    +

    307 show_output: bool, default: True 

    +

    308 Set to false not to show the output html in the browser 

    +

    309 cluster_args: Union[None, [str]], default: None 

    +

    310 Arguments for cluster algorithm 

    +

    311 outlier_args: Union[None, [str]], default: None 

    +

    312 Arguments for outlier detection algorithm 

    +

    313 

    +

    314 Notes 

    +

    315 ----- 

    +

    316 Using a project directory allows to restart stages of the entire 

    +

    317 process. 

    +

    318 """ 

    +

    319 

    +

    320 # pylint: disable = too-many-arguments, too-many-locals 

    +

    321 

    +

    322 # settings 

    +

    323 # Set up Rich Console and Rich logging 

    +

    324 self.console = console 

    +

    325 if self.console: 

    +

    326 self.console.print(get_application_header(), style="success", highlight=True) 

    +

    327 

    +

    328 self.logfile_filepath = ( 

    +

    329 logfile_filepath 

    +

    330 if logfile_filepath 

    +

    331 else os.path.join(project_dir, "logfile") 

    +

    332 if project_dir 

    +

    333 else "" 

    +

    334 ) 

    +

    335 

    +

    336 self._msg_option = "{:16s}: {}" 

    +

    337 

    +

    338 # run variables 

    +

    339 # table is a rich format containing information of the variables 

    +

    340 table = Table(show_header=False) 

    +

    341 self.n_processes = self._parse_n_processes(n_processes, table) 

    +

    342 

    +

    343 # check for correctly parsed simulation-runs 

    +

    344 if len(simulation_runs) == 0: 

    +

    345 err_msg = "No entries in positional argument 'simulation-runs'." 

    +

    346 err_msg += "\nIt is recommended to set the 'simulation-runs' arguments first!" 

    +

    347 self.raise_error(err_msg) 

    +

    348 

    +

    349 # parse simulation and reference run 

    +

    350 # if no reference run was set use first simulation run 

    +

    351 ( 

    +

    352 self.simulation_runs, 

    +

    353 self.reference_run, 

    +

    354 self.exclude_runs, 

    +

    355 ) = self._parse_simulation_and_reference_runs( 

    +

    356 simulation_runs, reference_run, tuple() if not exclude_runs else exclude_runs, table 

    +

    357 ) 

    +

    358 

    +

    359 # check if basename or foldername serves as unique identifier 

    +

    360 self.use_folder_name = os.path.basename(self.simulation_runs[0]) == os.path.basename( 

    +

    361 self.simulation_runs[1] 

    +

    362 ) 

    +

    363 

    +

    364 # set project dir and simulation runs 

    +

    365 self.project_dir = self._parse_project_dir(project_dir, table) 

    +

    366 self.part_ids = part_id_filter if part_id_filter is not None else tuple() 

    +

    367 if self.part_ids is not None and len(self.part_ids) != 0: 

    +

    368 table.add_row("selected parts", ",".join(str(entry) for entry in self.part_ids)) 

    +

    369 self.timestep = timestep 

    +

    370 if timestep != -1: 

    +

    371 table.add_row("Timestep: ", str(timestep)) 

    +

    372 

    +

    373 # check if start_stage_index and end_stage_index are valid 

    +

    374 self.start_stage_index, self.end_stage_index = self._parse_stages(start_stage, end_stage) 

    +

    375 if self.console: 

    +

    376 self.console.print(table) 

    +

    377 

    +

    378 # check valid image path 

    +

    379 self.img_path = self._check_img_path(img_path) if img_path else None 

    +

    380 

    +

    381 # set cluster and outlier arguments 

    +

    382 self._parse_cluster_and_outlier_args(cluster_args, outlier_args) 

    +

    383 

    +

    384 self.html_name = self._parse_html_name(html_name) 

    +

    385 self.html_set_timestamp = html_set_timestamp 

    +

    386 self.show_output = show_output 

    +

    387 

    +

    388 self.pool = None 

    +

    389 

    +

    390 def log(self, msg: str, style: Union[str, None] = None, highlight: bool = False): 

    +

    391 """Log a message 

    +

    392 

    +

    393 Parameters 

    +

    394 ---------- 

    +

    395 msg : str 

    +

    396 message to log 

    +

    397 style : Union[str, None] 

    +

    398 style of the message 

    +

    399 highlight : bool 

    +

    400 whether to highlight the message or not 

    +

    401 """ 

    +

    402 if self.console: 

    +

    403 self.console.print(timestamp() + msg, style=style, highlight=highlight) 

    +

    404 

    +

    405 def raise_error(self, err_msg: str): 

    +

    406 """ 

    +

    407 Parameters 

    +

    408 ---------- 

    +

    409 err_msg : str 

    +

    410 error message to be raised 

    +

    411 

    +

    412 Raises 

    +

    413 ------ 

    +

    414 RuntimeError 

    +

    415 raises an exception with error msg 

    +

    416 

    +

    417 Notes 

    +

    418 ----- 

    +

    419 Logs correctly and deals with open file handles. 

    +

    420 """ 

    +

    421 

    +

    422 err_msg_text = Text(err_msg, style="error") 

    +

    423 

    +

    424 if not self.console: 

    +

    425 raise DimredRunError(err_msg) 

    +

    426 

    +

    427 try: 

    +

    428 self.h5file.close() 

    +

    429 self.console.print("closed hdf5 file") 

    +

    430 except AttributeError: 

    +

    431 self.console.print("no hdf5 file to close") 

    +

    432 

    +

    433 self.console.print(err_msg_text, style="error") 

    +

    434 if self.logfile_filepath: 

    +

    435 self.console.save_html(self.logfile_filepath) 

    +

    436 

    +

    437 raise DimredRunError(err_msg) 

    +

    438 

    +

    439 # pylint believes this function has different return statements 

    +

    440 # whereas it only has one. 

    +

    441 # pylint: disable = inconsistent-return-statements 

    +

    442 def _check_img_path(self, img_path: str) -> str: 

    +

    443 """checks if provided image path is valid""" 

    +

    444 

    +

    445 if os.path.isdir(img_path): 

    +

    446 abs_path = os.path.abspath(img_path) 

    +

    447 js_path = re.sub(r"\\", "/", abs_path) 

    +

    448 return js_path 

    +

    449 

    +

    450 err_msg = "provided argument --embedding.images is not a folder" 

    +

    451 self.raise_error(err_msg) 

    +

    452 

    +

    453 def _parse_stages(self, start_stage: str, end_stage: str): 

    +

    454 

    +

    455 # check validity 

    +

    456 if start_stage not in DIMRED_STAGES: 

    +

    457 err_msg = f"{start_stage} is not a valid stage. Try: {', '.join(DIMRED_STAGES)}." 

    +

    458 self.raise_error(err_msg) 

    +

    459 

    +

    460 if end_stage not in DIMRED_STAGES: 

    +

    461 err_msg = f"{end_stage} is not a valid stage. Try: {', '.join(DIMRED_STAGES)}." 

    +

    462 self.raise_error(err_msg) 

    +

    463 

    +

    464 # get indexes 

    +

    465 start_stage_index = DIMRED_STAGES.index(start_stage) 

    +

    466 end_stage_index = DIMRED_STAGES.index(end_stage) 

    +

    467 

    +

    468 # check if start and end are in correct order 

    +

    469 if start_stage_index > end_stage_index: 

    +

    470 err_msg = ( 

    +

    471 f"The specified end stage '{end_stage}' " 

    +

    472 f"comes before the start stage ({start_stage}). " 

    +

    473 f"Try the order: {', '.join(DIMRED_STAGES)}" 

    +

    474 ) 

    +

    475 self.raise_error(err_msg) 

    +

    476 

    +

    477 return start_stage_index, end_stage_index 

    +

    478 

    +

    479 def _check_valid_stage_skip(self): 

    +

    480 # check if stage skip is valid 

    +

    481 if self.start_stage_index == DIMRED_STAGES.index(DimredStage.IMPORT_RUNS.value): 

    +

    482 self.log("Skipped setup stage", style="warning") 

    +

    483 if HDF5FileNames.SUBSAMPLE_SAVE_NAME.value not in self.h5file: # type: ignore 

    +

    484 msg = "no reference sample found" 

    +

    485 self.raise_error(msg) 

    +

    486 elif self.start_stage_index == DIMRED_STAGES.index(DimredStage.REDUCTION.value): 

    +

    487 self.log("Skipped import stage", style="warning") 

    +

    488 if HDF5FileNames.SUBSAMPLED_GROUP_NAME.value not in self.h5file: # type: ignore 

    +

    489 msg = "no subsampled samples found" 

    +

    490 self.raise_error(msg) 

    +

    491 elif self.start_stage_index == DIMRED_STAGES.index(DimredStage.CLUSTERING.value): 

    +

    492 self.log("Skipped reduction stage", style="warning") 

    +

    493 if ( 

    +

    494 HDF5FileNames.V_ROB_SAVE_NAME.value not in self.h5file # type: ignore 

    +

    495 or HDF5FileNames.BETAS_GROUP_NAME.value not in self.h5file 

    +

    496 ): # type: ignore 

    +

    497 err_msg = "Could not find reduced betas and V_ROB" 

    +

    498 self.raise_error(err_msg) 

    +

    499 elif self.start_stage_index == DIMRED_STAGES.index(DimredStage.CLUSTERING.value): 

    +

    500 self.log("Skipped clustering stage", style="warning") 

    +

    501 

    +

    502 def _parse_part_ids(self, part_ids: Union[Sequence[int], None]) -> Sequence[int]: 

    +

    503 

    +

    504 if not part_ids: 

    +

    505 return tuple() 

    +

    506 

    +

    507 assert all(isinstance(pid, int) for pid in part_ids), "All part ids must be of type 'int'" 

    +

    508 

    +

    509 return part_ids 

    +

    510 

    +

    511 def _parse_project_dir(self, project_dir: Union[str, None], table: Table): 

    +

    512 

    +

    513 if not project_dir: 

    +

    514 return "" 

    +

    515 

    +

    516 project_dir = os.path.abspath(project_dir) 

    +

    517 

    +

    518 if os.path.isfile(project_dir): 

    +

    519 err_msg = ( 

    +

    520 f"The project path '{project_dir}' is pointing at an existing file." 

    +

    521 " Change either the project path or move the file." 

    +

    522 ) 

    +

    523 self.raise_error(err_msg) 

    +

    524 

    +

    525 if not os.path.exists(project_dir): 

    +

    526 os.makedirs(project_dir, exist_ok=True) 

    +

    527 

    +

    528 table.add_row("project-dir", project_dir) 

    +

    529 return project_dir 

    +

    530 

    +

    531 def _parse_simulation_and_reference_runs( 

    +

    532 self, 

    +

    533 simulation_run_patterns: Sequence[str], 

    +

    534 reference_run_pattern: Union[None, str], 

    +

    535 exclude_runs: Sequence[str], 

    +

    536 table: Table, 

    +

    537 ) -> Tuple[Sequence[str], str, Sequence[str]]: 

    +

    538 

    +

    539 # pylint: disable = too-many-locals 

    +

    540 

    +

    541 # search all denoted runs 

    +

    542 simulation_runs = [] 

    +

    543 for pattern in simulation_run_patterns: 

    +

    544 simulation_runs += glob.glob(pattern) 

    +

    545 simulation_runs = [ 

    +

    546 os.path.normpath(filepath) for filepath in simulation_runs if os.path.isfile(filepath) 

    +

    547 ] 

    +

    548 

    +

    549 # search all excluded runs 

    +

    550 runs_to_exclude = [] 

    +

    551 for pattern in exclude_runs: 

    +

    552 runs_to_exclude += glob.glob(pattern) 

    +

    553 runs_to_exclude = [ 

    +

    554 os.path.normpath(filepath) for filepath in runs_to_exclude if os.path.isfile(filepath) 

    +

    555 ] 

    +

    556 

    +

    557 n_runs_before_filtering = len(simulation_runs) 

    +

    558 simulation_runs = [ 

    +

    559 filepath for filepath in simulation_runs if filepath not in runs_to_exclude 

    +

    560 ] 

    +

    561 n_runs_after_filtering = len(simulation_runs) 

    +

    562 

    +

    563 # check if simulation runs are valid 

    +

    564 

    +

    565 simulation_runs_ok = len(simulation_runs) != 0 

    +

    566 

    +

    567 if not simulation_runs_ok: 

    +

    568 err_msg = ( 

    +

    569 "No simulation files could be found with the specified patterns. " 

    +

    570 "Check the argument 'simulation_runs'." 

    +

    571 ) 

    +

    572 self.raise_error(err_msg) 

    +

    573 

    +

    574 table.add_row("# simul.-files", str(len(simulation_runs))) 

    +

    575 

    +

    576 table.add_row("# excluded files", f"{n_runs_before_filtering - n_runs_after_filtering}") 

    +

    577 

    +

    578 # check for valid reference run 

    +

    579 reference_run = "" 

    +

    580 if reference_run_pattern: 

    +

    581 

    +

    582 reference_run_ok = os.path.isfile(reference_run_pattern) 

    +

    583 if not reference_run_ok: 

    +

    584 err_msg = f"Filepath '{reference_run_pattern}' is not a file." 

    +

    585 self.raise_error(err_msg) 

    +

    586 

    +

    587 reference_run = os.path.normpath(reference_run_pattern) 

    +

    588 else: 

    +

    589 # use first simulation run if no reference run was provided 

    +

    590 # check if enough simulation runs remain 

    +

    591 if len(simulation_runs) > 1: 

    +

    592 reference_run = simulation_runs[0] 

    +

    593 else: 

    +

    594 err_msg = "Number of Simulation runs after using first as reference run is zero." 

    +

    595 self.raise_error(err_msg) 

    +

    596 

    +

    597 # add to table 

    +

    598 table.add_row("reference-run", reference_run) 

    +

    599 

    +

    600 # remove the reference run from simulation runs 

    +

    601 if reference_run and reference_run in simulation_runs: 

    +

    602 simulation_runs.remove(reference_run) 

    +

    603 

    +

    604 # sort it because we can! 

    +

    605 def atoi(text): 

    +

    606 return int(text) if text.isdigit() else text 

    +

    607 

    +

    608 def natural_keys(text): 

    +

    609 return [atoi(c) for c in re.split(r"(\d+)", text)] 

    +

    610 

    +

    611 simulation_runs = sorted(simulation_runs, key=natural_keys) 

    +

    612 

    +

    613 return simulation_runs, reference_run, runs_to_exclude 

    +

    614 

    +

    615 def _parse_cluster_and_outlier_args( 

    +

    616 self, cluster_args: Union[Sequence[str], None], outlier_args: Union[Sequence[str], None] 

    +

    617 ): 

    +

    618 """verifies correct oultier and cluster args, if provided""" 

    +

    619 

    +

    620 # creates a valid argument dict for clustering arguments 

    +

    621 if cluster_args is None: 

    +

    622 self.cluster_type = None 

    +

    623 self.cluster_args = None 

    +

    624 else: 

    +

    625 result = create_cluster_arg_dict(cluster_args) 

    +

    626 

    +

    627 # check for errors 

    +

    628 if isinstance(result, str): 

    +

    629 self.raise_error(result) 

    +

    630 else: 

    +

    631 self.cluster_type, self.cluster_args = result[0], result[1] 

    +

    632 

    +

    633 # creates a valid argument dict for outlier detection arguments 

    +

    634 self.detector_type = None 

    +

    635 self.detector_args = {} 

    +

    636 

    +

    637 if outlier_args: 

    +

    638 result = create_detector_arg_dict(outlier_args) 

    +

    639 # check for errors 

    +

    640 if isinstance(result, str): 

    +

    641 self.raise_error(result) 

    +

    642 self.detector_type = result[0] 

    +

    643 self.detector_args = result[1] 

    +

    644 

    +

    645 def _parse_n_processes(self, n_processes: int, table: Table) -> int: 

    +

    646 

    +

    647 if n_processes <= 0: 

    +

    648 err_msg = f"n-processes is '{n_processes}' but must be at least 1." 

    +

    649 self.raise_error(err_msg) 

    +

    650 

    +

    651 table.add_row("n-processes", str(n_processes)) 

    +

    652 return n_processes 

    +

    653 

    +

    654 def _parse_html_name(self, html_name_string: str) -> str: 

    +

    655 

    +

    656 html_name, replace_count = re.subn(r"[!§$%&/()=?\"\[\]{}\\.,;:<>|]", "", html_name_string) 

    +

    657 html_name = html_name.replace(" ", "-") 

    +

    658 

    +

    659 if replace_count > 0: 

    +

    660 msg = ( 

    +

    661 f"Replaced {replace_count} invalid characters for the html file name. " 

    +

    662 f"The new hmtl name is: {html_name}" 

    +

    663 ) 

    +

    664 self.log(msg) 

    +

    665 

    +

    666 return html_name 

    +

    667 

    +

    668 def __enter__(self): 

    +

    669 self.pool = ProcessPoolExecutor(max_workers=self.n_processes) 

    +

    670 self.h5file = h5py.File(os.path.join(self.project_dir, "project_buffer.hdf5"), "a") 

    +

    671 self._check_valid_stage_skip() 

    +

    672 return self 

    +

    673 

    +

    674 def __exit__(self, exception_type, exception_value, traceback): 

    +

    675 self.pool = None 

    +

    676 self.h5file.close() 

    +

    677 self.h5file = None 

    +

    678 

    +

    679 def _perform_context_check(self): 

    +

    680 if self.pool is None: 

    +

    681 msg = "The class function can only be used in a 'with' block on the instance itself." 

    +

    682 self.raise_error(msg) 

    +

    683 

    +

    684 def reset_project_dir(self): 

    +

    685 """resets the project directory entirely""" 

    +

    686 

    +

    687 # delete folder 

    +

    688 if os.path.exists(self.project_dir): 

    +

    689 shutil.rmtree(self.project_dir) 

    +

    690 

    +

    691 if self.project_dir: 

    +

    692 os.makedirs(self.project_dir, exist_ok=True) 

    +

    693 

    +

    694 def process_reference_run(self): 

    +

    695 """Process the reference run""" 

    +

    696 

    +

    697 # is a process pool up 

    +

    698 self._perform_context_check() 

    +

    699 

    +

    700 msg = "Reference Subsample" 

    +

    701 self.log(msg) 

    +

    702 

    +

    703 # init progress bar 

    +

    704 if self.console: 

    +

    705 prog = Progress("", WorkingDots()) 

    +

    706 else: 

    +

    707 prog = PlaceHolderBar() 

    +

    708 with prog: 

    +

    709 ref_task = prog.add_task("", total=1) 

    +

    710 

    +

    711 # Delete existing reference subsample 

    +

    712 if HDF5FileNames.SUBSAMPLE_SAVE_NAME.value in self.h5file: # type: ignore 

    +

    713 del self.h5file[HDF5FileNames.SUBSAMPLE_SAVE_NAME.value] 

    +

    714 

    +

    715 reference_sample = create_reference_subsample(self.reference_run, self.part_ids) 

    +

    716 

    +

    717 prog.advance(ref_task) # type: ignore 

    +

    718 

    +

    719 if isinstance(reference_sample, str): 

    +

    720 self.raise_error(reference_sample) 

    +

    721 

    +

    722 # create dataset in h5file 

    +

    723 h5_ref = self.h5file.create_dataset( 

    +

    724 HDF5FileNames.SUBSAMPLE_SAVE_NAME.value, data=reference_sample[0] 

    +

    725 ) 

    +

    726 h5_ref.attrs[HDF5FileNames.PLOT_LOAD_TIME.value] = reference_sample[2] 

    +

    727 h5_ref.attrs[HDF5FileNames.SUBSAMPLE_PROCESS_TIME.value] = reference_sample[1] 

    +

    728 

    +

    729 # log time and success 

    +

    730 self.log("Loadtime Reference subsample: " + str(reference_sample[2])[:5]) 

    +

    731 self.log("Total time for Reference subsample: " + str(reference_sample[1])[:5]) 

    +

    732 self.log("Reference subsample completed", style="success") 

    +

    733 

    +

    734 def subsample_to_reference_run(self): 

    +

    735 """Subsamples all runs""" 

    +

    736 

    +

    737 # pylint: disable = too-many-branches,too-many-locals 

    +

    738 

    +

    739 self._perform_context_check() 

    +

    740 self.log("Subsampling") 

    +

    741 

    +

    742 # init progress bar 

    +

    743 if self.console: 

    +

    744 prog = Progress( 

    +

    745 "[progress.description]{task.description}", 

    +

    746 WorkingDots(), 

    +

    747 BarColumn(), 

    +

    748 "{task.completed} of {task.total};", 

    +

    749 # SubsamplingWaitTime(self.n_processes) 

    +

    750 ) 

    +

    751 else: 

    +

    752 prog = PlaceHolderBar() 

    +

    753 

    +

    754 with prog: 

    +

    755 

    +

    756 # define progressbar task 

    +

    757 task1 = prog.add_task( 

    +

    758 "[cyan]Subsampling plots [/cyan]", total=len(self.simulation_runs) 

    +

    759 ) 

    +

    760 h5_ref = self.h5file[HDF5FileNames.SUBSAMPLE_SAVE_NAME.value] 

    +

    761 # prog.columns[4].update_avrg(h5_ref.attrs[HDF5FileNames.plot_load_time.value]) 

    +

    762 

    +

    763 submitted_samples = [] 

    +

    764 

    +

    765 # delete previous subsample entries 

    +

    766 if HDF5FileNames.SUBSAMPLED_GROUP_NAME.value in self.h5file: # type: ignore 

    +

    767 del self.h5file[HDF5FileNames.SUBSAMPLED_GROUP_NAME.value] 

    +

    768 

    +

    769 # submit all simulation runs 

    +

    770 for _, entry in enumerate(self.simulation_runs): 

    +

    771 name = "overwrite_this" 

    +

    772 if self.use_folder_name: 

    +

    773 name = os.path.basename(os.path.split(entry)[0]) 

    +

    774 else: 

    +

    775 name = os.path.basename(entry) 

    +

    776 

    +

    777 try: 

    +

    778 future = self.pool.submit( 

    +

    779 remap_random_subsample, entry, self.part_ids, h5_ref[:] 

    +

    780 ) 

    +

    781 

    +

    782 submitted_samples.append(np.array([name, future])) 

    +

    783 except Exception: 

    +

    784 break 

    +

    785 

    +

    786 # check if an error occurred 

    +

    787 # pylint: disable = protected-access, undefined-loop-variable 

    +

    788 if self.pool._broken and "entry" in locals(): 

    +

    789 msg = f"Failed to load file: {entry}" 

    +

    790 self.raise_error(msg) 

    +

    791 

    +

    792 # we measure required time here 

    +

    793 t_cum = 0 

    +

    794 t_cum_io = 0 

    +

    795 

    +

    796 # prepare hdf5 file 

    +

    797 self.h5file.create_group(HDF5FileNames.SUBSAMPLED_GROUP_NAME.value) 

    +

    798 # This isn't very elegant, there must be a better way 

    +

    799 while not prog.finished: 

    +

    800 for i, sub in enumerate(submitted_samples): 

    +

    801 if sub[1].done(): 

    +

    802 try: 

    +

    803 if isinstance(sub[1].result()[0], str): 

    +

    804 self.raise_error(sub[1].result()) 

    +

    805 h5_sample = self.h5file[ 

    +

    806 HDF5FileNames.SUBSAMPLED_GROUP_NAME.value 

    +

    807 ].create_dataset(sub[0], data=sub[1].result()[0]) 

    +

    808 h5_sample.attrs[HDF5FileNames.PLOT_LOAD_TIME.value] = sub[1].result()[2] 

    +

    809 h5_sample.attrs[HDF5FileNames.SUBSAMPLE_PROCESS_TIME.value] = sub[ 

    +

    810 1 

    +

    811 ].result()[1] 

    +

    812 submitted_samples.pop(i) 

    +

    813 prog.advance(task1) # type: ignore 

    +

    814 t_cum_io += sub[1].result()[2] 

    +

    815 t_cum += sub[1].result()[1] 

    +

    816 except RuntimeError: 

    +

    817 err_msg = f"Error while loading {sub}" 

    +

    818 self.raise_error(err_msg) 

    +

    819 time.sleep(0.5) 

    +

    820 

    +

    821 # calculate required time 

    +

    822 t_avrg = t_cum / len(self.simulation_runs) 

    +

    823 t_avrg_io = t_cum_io / len(self.simulation_runs) 

    +

    824 

    +

    825 # log results 

    +

    826 self.log("Average Time per Subsampling Process: " + str(t_avrg)[0:5]) 

    +

    827 self.log("Average Loadtime per sample: " + str(t_avrg_io)[0:5]) 

    +

    828 

    +

    829 self.log("Subsampling completed", style="success") 

    +

    830 

    +

    831 # Finished: We either have all sub-sampled runs in the project_dir, 

    +

    832 # or a list containing all sub-sampled runs 

    +

    833 # Problem: we might be running into issues with available RAM? 

    +

    834 # 1000 runs, 30 timesteps, sub-sampled onto 2000 points -> 1,34GB 

    +

    835 

    +

    836 def dimension_reduction_svd(self): 

    +

    837 """Calculate V_ROB and Betas""" 

    +

    838 

    +

    839 # pylint: disable = too-many-locals 

    +

    840 

    +

    841 # applying pod_functions.py 

    +

    842 # (TODO: lots of stuff in the pod_functions.py has to be overhauled) 

    +

    843 # save if appropriate into project_dir 

    +

    844 self.log("Dimension Reduction") 

    +

    845 

    +

    846 if self.console: 

    +

    847 # prog = Progress("", WorkingDots()) 

    +

    848 prog = Progress( 

    +

    849 "[progress.description]{task.description}", 

    +

    850 WorkingDots(), 

    +

    851 BarColumn(), 

    +

    852 "{task.completed} of {task.total} timesteps;", 

    +

    853 # SubsamplingWaitTime(self.n_processes) 

    +

    854 ) 

    +

    855 else: 

    +

    856 prog = PlaceHolderBar() 

    +

    857 with prog: 

    +

    858 # deletes old files 

    +

    859 if HDF5FileNames.BETAS_GROUP_NAME.value in self.h5file: # type: ignore 

    +

    860 del self.h5file[HDF5FileNames.BETAS_GROUP_NAME.value] 

    +

    861 if HDF5FileNames.V_ROB_SAVE_NAME.value in self.h5file: # type: ignore 

    +

    862 del self.h5file[HDF5FileNames.V_ROB_SAVE_NAME.value] 

    +

    863 

    +

    864 beta_group = self.h5file.create_group(HDF5FileNames.BETAS_GROUP_NAME.value) 

    +

    865 

    +

    866 excluded_entries = [ 

    +

    867 os.path.basename(os.path.split(entry)[0]) 

    +

    868 if self.use_folder_name 

    +

    869 else os.path.basename(entry) 

    +

    870 for entry in self.exclude_runs 

    +

    871 ] 

    +

    872 

    +

    873 valid_entries = [ 

    +

    874 entry 

    +

    875 for entry in self.h5file[HDF5FileNames.SUBSAMPLED_GROUP_NAME.value].keys() 

    +

    876 if entry not in excluded_entries 

    +

    877 ] 

    +

    878 

    +

    879 run_timesteps = np.array( 

    +

    880 [ 

    +

    881 self.h5file[HDF5FileNames.SUBSAMPLED_GROUP_NAME.value][entry].shape[0] 

    +

    882 for entry in valid_entries 

    +

    883 ] 

    +

    884 ) 

    +

    885 

    +

    886 min_step = np.min(run_timesteps) 

    +

    887 max_step = np.max(run_timesteps) 

    +

    888 

    +

    889 if min_step != max_step: 

    +

    890 warn_msg = ( 

    +

    891 "The timesteps fo the samples don't match, only " 

    +

    892 + "processing up to timestep {}. Skipped {} timesteps" 

    +

    893 ) 

    +

    894 warn_msg = warn_msg.format(min_step, max_step - min_step) 

    +

    895 self.log(warn_msg, style="warning") 

    +

    896 

    +

    897 # add task after checking condition, else output looks wonky 

    +

    898 beta_task = prog.add_task("[cyan]Reducing Plots [/cyan]", total=int(min_step)) 

    +

    899 

    +

    900 sub_displ = np.stack( 

    +

    901 [ 

    +

    902 self.h5file[HDF5FileNames.SUBSAMPLED_GROUP_NAME.value][entry][:min_step, :] 

    +

    903 for entry in valid_entries 

    +

    904 ] 

    +

    905 ) 

    +

    906 

    +

    907 result = calculate_v_and_betas( 

    +

    908 sub_displ, progress_bar=prog, task_id=beta_task 

    +

    909 ) # type: ignore 

    +

    910 # returns string if samplesize to small 

    +

    911 if isinstance(result, str): 

    +

    912 self.raise_error(result) 

    +

    913 

    +

    914 v_rob, betas = result 

    +

    915 for i, sample in enumerate( 

    +

    916 self.h5file[HDF5FileNames.SUBSAMPLED_GROUP_NAME.value].keys() 

    +

    917 ): 

    +

    918 beta_group.create_dataset(sample, data=betas[i]) 

    +

    919 

    +

    920 self.h5file.create_dataset(HDF5FileNames.V_ROB_SAVE_NAME.value, data=v_rob) 

    +

    921 

    +

    922 self.log("Dimension Reduction completed", style="success") 

    +

    923 

    +

    924 def clustering_results(self): 

    +

    925 """clustering results""" 

    +

    926 

    +

    927 # pylint: disable = too-many-locals 

    +

    928 

    +

    929 self._perform_context_check() 

    +

    930 # delete old entries 

    +

    931 betas_group = self.h5file[HDF5FileNames.BETAS_GROUP_NAME.value] 

    +

    932 if HDF5FileNames.HAS_OUTLIERS.value in betas_group.attrs: 

    +

    933 del betas_group.attrs[HDF5FileNames.HAS_OUTLIERS.value] 

    +

    934 

    +

    935 if HDF5FileNames.NR_CLUSTER.value in betas_group.attrs: 

    +

    936 del betas_group.attrs[HDF5FileNames.NR_CLUSTER.value] 

    +

    937 

    +

    938 if not self.cluster_type and not self.detector_type: 

    +

    939 msg = "No arguments provided for clustering, clustering aborted" 

    +

    940 self.log(msg) 

    +

    941 return 

    +

    942 

    +

    943 self.log("Clustering") 

    +

    944 

    +

    945 # init progress bar 

    +

    946 if self.console: 

    +

    947 prog = Progress("", WorkingDots()) 

    +

    948 else: 

    +

    949 prog = PlaceHolderBar() 

    +

    950 with prog: 

    +

    951 cluster_task = prog.add_task("", total=1) 

    +

    952 

    +

    953 # performs clustering with provided arguments 

    +

    954 

    +

    955 excluded_entries = [ 

    +

    956 os.path.basename(os.path.split(entry)[0]) 

    +

    957 if self.use_folder_name 

    +

    958 else os.path.basename(entry) 

    +

    959 for entry in self.exclude_runs 

    +

    960 ] 

    +

    961 

    +

    962 beta_index = np.stack( 

    +

    963 [key for key in betas_group.keys() if key not in excluded_entries] 

    +

    964 ) 

    +

    965 try: 

    +

    966 betas = np.stack( 

    +

    967 [betas_group[entry][self.timestep, :3] for entry in beta_index] 

    +

    968 ) # betas_group.keys()]) 

    +

    969 except ValueError: 

    +

    970 log_msg = ( 

    +

    971 "Invalid parameter for timestep. Set a valid timestep with --timestep.\n" 

    +

    972 "To save time, you can restart the tool with --start-stage CLUSTERING." 

    +

    973 ) 

    +

    974 self.log(log_msg, style="warning") 

    +

    975 t_max = betas_group[beta_index[0]][:].shape[0] 

    +

    976 err_msg = ( 

    +

    977 f"Timestep {self.timestep} is not a valid timestep. " 

    +

    978 f"Samples have {t_max} timesteps. " 

    +

    979 f"Choose a timestep between 0 and {t_max - 1}" 

    +

    980 ) 

    +

    981 self.raise_error(err_msg) 

    +

    982 

    +

    983 result = group_betas( 

    +

    984 beta_index, 

    +

    985 betas, 

    +

    986 cluster=self.cluster_type, 

    +

    987 cluster_params=self.cluster_args, 

    +

    988 detector=self.detector_type, 

    +

    989 detector_params=self.detector_args, 

    +

    990 ) 

    +

    991 

    +

    992 if isinstance(result, str): 

    +

    993 self.raise_error(result) 

    +

    994 

    +

    995 id_cluster = result[1] 

    +

    996 

    +

    997 # Save clusters 

    +

    998 if len(id_cluster) > 1: 

    +

    999 betas_group.attrs.create(HDF5FileNames.NR_CLUSTER.value, len(id_cluster)) 

    +

    1000 if self.detector_type is not None: 

    +

    1001 # if attribute has_outliers is set, the first cluster contains the outliers 

    +

    1002 # so all outliers can be found by searching for the cluster attribute "0" 

    +

    1003 betas_group.attrs.create(HDF5FileNames.HAS_OUTLIERS.value, len(id_cluster[0])) 

    +

    1004 for index, cluster in enumerate(id_cluster): 

    +

    1005 for entry in cluster: 

    +

    1006 # Enter appropriate cluster as attribute 

    +

    1007 sample = betas_group[entry] 

    +

    1008 sample.attrs.create(HDF5FileNames.CLUSTER.value, index) 

    +

    1009 

    +

    1010 prog.advance(cluster_task) # type: ignore 

    +

    1011 

    +

    1012 self.log("Clustering completed", style="success") 

    +

    1013 

    +

    1014 def visualize_results(self): 

    +

    1015 """creates an output .html file""" 

    +

    1016 

    +

    1017 self._perform_context_check() 

    +

    1018 self.log("Creating .html viz") 

    +

    1019 betas_group = self.h5file[HDF5FileNames.BETAS_GROUP_NAME.value] 

    +

    1020 mark_outliers = False 

    +

    1021 

    +

    1022 excluded_entries = [ 

    +

    1023 os.path.basename(os.path.split(entry)[0]) 

    +

    1024 if self.use_folder_name 

    +

    1025 else os.path.basename(entry) 

    +

    1026 for entry in self.exclude_runs 

    +

    1027 ] 

    +

    1028 

    +

    1029 # check if clustering was performed, else load all betas into one pseudo-cluster 

    +

    1030 if HDF5FileNames.NR_CLUSTER.value not in betas_group.attrs: 

    +

    1031 

    +

    1032 # plotfunction expects list of cluster 

    +

    1033 # we have no clusters -> we claim all is in one cluster 

    +

    1034 

    +

    1035 # Create and load ids 

    +

    1036 id_cluster = [ 

    +

    1037 np.stack([key for key in betas_group.keys() if key not in excluded_entries]) 

    +

    1038 ] 

    +

    1039 

    +

    1040 # Create and load betas 

    +

    1041 beta_cluster = [np.stack([betas_group[entry][-1] for entry in id_cluster[0]])] 

    +

    1042 

    +

    1043 else: 

    +

    1044 # check if outlier where detected 

    +

    1045 if HDF5FileNames.HAS_OUTLIERS.value in betas_group.attrs: 

    +

    1046 mark_outliers = True 

    +

    1047 

    +

    1048 # index of all runs 

    +

    1049 id_data = np.stack([key for key in betas_group.keys() if key not in excluded_entries]) 

    +

    1050 

    +

    1051 # create an index referencing each run to a cluster 

    +

    1052 cluster_index = np.stack( 

    +

    1053 [betas_group[entry].attrs[HDF5FileNames.CLUSTER.value] for entry in id_data] 

    +

    1054 ) 

    +

    1055 

    +

    1056 # load betas & ids 

    +

    1057 beta_data = np.stack([betas_group[entry][-1] for entry in id_data]) 

    +

    1058 

    +

    1059 # create list containing list of clusters 

    +

    1060 beta_cluster = [] 

    +

    1061 id_cluster = [] 

    +

    1062 for i, cluster in enumerate(range(betas_group.attrs[HDF5FileNames.NR_CLUSTER.value])): 

    +

    1063 chosen = np.where(cluster_index == cluster)[0] 

    +

    1064 if len(chosen) > 0: 

    +

    1065 beta_cluster.append(beta_data[chosen]) 

    +

    1066 id_cluster.append(id_data[chosen]) 

    +

    1067 elif len(chosen) == 0 and i == 0: 

    +

    1068 mark_outliers = False 

    +

    1069 

    +

    1070 plot_clusters_js( 

    +

    1071 beta_cluster, 

    +

    1072 id_cluster, 

    +

    1073 save_path=self.project_dir, 

    +

    1074 img_path=self.img_path, 

    +

    1075 mark_outliers=mark_outliers, 

    +

    1076 mark_timestamp=self.html_set_timestamp, 

    +

    1077 filename=self.html_name, 

    +

    1078 show_res=self.show_output, 

    +

    1079 ) 

    +

    1080 self.log("Finished creating viz", style="success") 

    +
    + + + diff --git a/coverage/d_febbda7c1df641f6_graph_laplacian_py.html b/coverage/d_febbda7c1df641f6_graph_laplacian_py.html new file mode 100644 index 0000000..4e11c93 --- /dev/null +++ b/coverage/d_febbda7c1df641f6_graph_laplacian_py.html @@ -0,0 +1,255 @@ + + + + + Coverage for lasso/dimred/graph_laplacian.py: 0% + + + + + +
    +
    +

    + Coverage for lasso/dimred/graph_laplacian.py: + 0% +

    + +

    + 47 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1from typing import Union 

    +

    2 

    +

    3import numpy as np 

    +

    4from scipy.sparse import csgraph, dok_matrix 

    +

    5from scipy.sparse.linalg import eigsh 

    +

    6from sklearn.neighbors import KDTree 

    +

    7 

    +

    8 

    +

    9def run_graph_laplacian( 

    +

    10 points: np.ndarray, 

    +

    11 n_eigenmodes: int = 5, 

    +

    12 min_neighbors: Union[int, None] = None, 

    +

    13 sigma: Union[float, None] = None, 

    +

    14 search_radius: Union[float, None] = None, 

    +

    15): 

    +

    16 """ 

    +

    17 Compute a graph laplacian. 

    +

    18 

    +

    19 Parameters 

    +

    20 ---------- 

    +

    21 points : np.ndarray 

    +

    22 points with features 

    +

    23 n_eigenmodes : int 

    +

    24 number of eigenmodes to compute 

    +

    25 min_neighbors : int 

    +

    26 The minimum number of neighbors of a point to be considered for the laplacian 

    +

    27 weights. Can be used to avoid unconnected points. 

    +

    28 sigma : float 

    +

    29 The standard deviation of the gaussian normal distribution function used to 

    +

    30 transform the distances for the inverse distance based weighting. 

    +

    31 search_radius: 

    +

    32 

    +

    33 

    +

    34 Returns 

    +

    35 ------- 

    +

    36 eigenvalues : np.ndarray 

    +

    37 eigenvalues from the graph 

    +

    38 eigenvectors : np.ndarray 

    +

    39 eigenvectors with shape (n_points x n_eigenvectors) 

    +

    40 """ 

    +

    41 with np.warnings.catch_warnings(): 

    +

    42 regex_string = ( 

    +

    43 r"the matrix subclass is not the recommended way to represent" 

    +

    44 + r"matrices or deal with linear algebra" 

    +

    45 ) 

    +

    46 np.warnings.filterwarnings("ignore", regex_string) 

    +

    47 lapl = _laplacian_gauss_idw(points, min_neighbors, sigma, search_radius) 

    +

    48 return _laplacian(lapl, n_eigenmodes) 

    +

    49 

    +

    50 

    +

    51def _laplacian_gauss_idw( 

    +

    52 points: np.ndarray, 

    +

    53 min_neighbors: Union[int, None] = None, 

    +

    54 sigma: Union[float, None] = None, 

    +

    55 search_radius: Union[float, None] = None, 

    +

    56): 

    +

    57 """ 

    +

    58 Calculates the laplacian matrix for the sample points of a manifold. The inverse 

    +

    59 of the gauss-transformed distance is used as weighting of the neighbors. 

    +

    60 

    +

    61 Parameters 

    +

    62 ---------- 

    +

    63 points: array-like, shape (n_points, n_components) : 

    +

    64 The sampling points of a manifold. 

    +

    65 min_neighbors: int 

    +

    66 The minimum number of neighbors of a point to be considered for the laplacian 

    +

    67 weights. Can be used to avoid unconnected points. 

    +

    68 sigma: float 

    +

    69 The standard deviation of the gaussian normal distribution function used to 

    +

    70 transform the distances for the inverse distance based weighting. 

    +

    71 search_radius : float 

    +

    72 radius search parameter for nearest neighbors 

    +

    73 

    +

    74 Returns 

    +

    75 ------- 

    +

    76 L: array-like, shape (n_points, n_points) 

    +

    77 The laplacian matrix for manifold given by its sampling `points`. 

    +

    78 """ 

    +

    79 assert 2 == points.ndim 

    +

    80 

    +

    81 if min_neighbors is None: 

    +

    82 min_neighbors = points.shape[1] 

    +

    83 

    +

    84 tree = KDTree(points) 

    +

    85 

    +

    86 if sigma is None: 

    +

    87 d, _ = tree.query(points, 2 + 2 * points.shape[1], return_distance=True) 

    +

    88 sigma = np.sum(d[:, -2:]) 

    +

    89 sigma /= 3 * len(points) 

    +

    90 

    +

    91 if search_radius is None: 

    +

    92 search_radius = 3 * sigma 

    +

    93 

    +

    94 graph = dok_matrix((len(points), len(points)), dtype=np.double) 

    +

    95 

    +

    96 for i, (j, d, e, k) in enumerate( 

    +

    97 zip( 

    +

    98 *tree.query_radius(points, return_distance=True, r=search_radius), 

    +

    99 *tree.query(points, return_distance=True, k=1 + min_neighbors) 

    +

    100 ) 

    +

    101 ): 

    +

    102 # Always search for k neighbors, this prevents strongly connected local areas 

    +

    103 # a little, attracting the eigenfield 

    +

    104 

    +

    105 d, j = e, k 

    +

    106 k = j != i 

    +

    107 d, j = d[k], j[k] 

    +

    108 d **= 2 

    +

    109 d /= -2 * sigma**2 

    +

    110 graph[i, j] = d = np.exp(d) 

    +

    111 graph[j, i] = d[:, np.newaxis] 

    +

    112 

    +

    113 assert 0 == (graph != graph.T).sum() 

    +

    114 

    +

    115 return csgraph.laplacian(graph, normed=True) 

    +

    116 

    +

    117 

    +

    118def _laplacian(lapl: csgraph, n_eigenmodes: int = 5): 

    +

    119 """ 

    +

    120 Compute the laplacian of a graph L 

    +

    121 

    +

    122 Parameters 

    +

    123 ---------- 

    +

    124 L : csgraph 

    +

    125 sparse cs graph from scipy 

    +

    126 n_eigenmodes : int 

    +

    127 number of eigenmodes to compute 

    +

    128 points : np.ndarray 

    +

    129 coordintes of graph nodes (only for plotting) 

    +

    130 

    +

    131 Returns 

    +

    132 ------- 

    +

    133 eigen_values : np.ndarray 

    +

    134 eingenvalues of the graph 

    +

    135 eigen_vecs : np.ndarray 

    +

    136 eigenvectors of each graph vector (iNode x nEigenmodes) 

    +

    137 """ 

    +

    138 

    +

    139 n_nonzero_eigenvalues = 0 

    +

    140 n_eigenvalues = int(n_eigenmodes * 1.5) 

    +

    141 

    +

    142 eigen_vals = np.empty((0,)) 

    +

    143 eigen_vecs = np.empty((0, 0)) 

    +

    144 

    +

    145 while n_nonzero_eigenvalues < n_eigenmodes: 

    +

    146 

    +

    147 eigen_vals, eigen_vecs = map(np.real, eigsh(lapl, n_eigenvalues, which="SA")) 

    +

    148 

    +

    149 i_start = np.argmax(eigen_vals > 1e-7) 

    +

    150 n_nonzero_eigenvalues = len(eigen_vals) - i_start 

    +

    151 

    +

    152 if n_nonzero_eigenvalues >= n_eigenmodes: 

    +

    153 eigen_vecs = eigen_vecs[:, i_start : i_start + n_eigenmodes] 

    +

    154 eigen_vals = eigen_vals[i_start : i_start + n_eigenmodes] 

    +

    155 

    +

    156 n_eigenvalues = int(n_eigenvalues * 1.5) 

    +

    157 

    +

    158 return eigen_vals, eigen_vecs 

    +
    + + + diff --git a/coverage/d_febbda7c1df641f6_hashing_py.html b/coverage/d_febbda7c1df641f6_hashing_py.html new file mode 100644 index 0000000..f72e8e4 --- /dev/null +++ b/coverage/d_febbda7c1df641f6_hashing_py.html @@ -0,0 +1,755 @@ + + + + + Coverage for lasso/dimred/hashing.py: 0% + + + + + +
    +
    +

    + Coverage for lasso/dimred/hashing.py: + 0% +

    + +

    + 217 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import multiprocessing 

    +

    2import os 

    +

    3import time 

    +

    4from typing import List, Tuple, Union, Sequence 

    +

    5 

    +

    6import h5py 

    +

    7import numpy as np 

    +

    8from scipy import integrate 

    +

    9from sklearn.neighbors import KDTree 

    +

    10 

    +

    11 

    +

    12from ..math.stochastic import jensen_shannon_entropy 

    +

    13 

    +

    14 

    +

    15def _match_modes( 

    +

    16 hashes1: np.ndarray, 

    +

    17 hashes2: np.ndarray, 

    +

    18 eigenvectors_sub1: np.ndarray, 

    +

    19 eigenvectors_sub2: np.ndarray, 

    +

    20): 

    +

    21 """Match the eigenvalue modes 

    +

    22 

    +

    23 Parameters 

    +

    24 ---------- 

    +

    25 hashes1 : np.ndarray 

    +

    26 hashes of first model 

    +

    27 hashes2 : np.ndarray 

    +

    28 hashes of second model 

    +

    29 eigenvectors_sub1 : np.ndarray 

    +

    30 eigenvector field of first model 

    +

    31 eigenvectors_sub2 : np.ndarray 

    +

    32 eigenvector field of second model 

    +

    33 

    +

    34 Returns 

    +

    35 ------- 

    +

    36 matches : list(tuple(int.int)) 

    +

    37 indexes of the matched modes 

    +

    38 """ 

    +

    39 

    +

    40 matches = [] 

    +

    41 mode1_hash_indexes = list(range(len(hashes1))) 

    +

    42 mode2_hash_indexes = list(range(len(hashes2))) 

    +

    43 

    +

    44 for i_hash in mode1_hash_indexes: 

    +

    45 

    +

    46 field1 = eigenvectors_sub1[:, i_hash] 

    +

    47 

    +

    48 found_match = False 

    +

    49 for j_entry, j_hash in enumerate(mode2_hash_indexes): 

    +

    50 

    +

    51 field2 = eigenvectors_sub2[:, j_hash] 

    +

    52 

    +

    53 if is_mode_match(field1, field2): 

    +

    54 matches.append((i_hash, j_hash)) 

    +

    55 del mode2_hash_indexes[j_entry] 

    +

    56 found_match = True 

    +

    57 break 

    +

    58 

    +

    59 if not found_match: 

    +

    60 break 

    +

    61 

    +

    62 return matches 

    +

    63 

    +

    64 

    +

    65def is_orientation_flip_required(eigenvectors1: np.ndarray, eigenvectors2: np.ndarray): 

    +

    66 """Checks whether the eigenfields require to be flipped 

    +

    67 

    +

    68 Parameters 

    +

    69 ---------- 

    +

    70 eigenvectors1 : np.ndarray 

    +

    71 eigenvector_field of mesh1. 

    +

    72 eigenvectors2 : np.ndarray 

    +

    73 eigenvector_field of mesh2. 

    +

    74 

    +

    75 Returns 

    +

    76 ------- 

    +

    77 flip_required : bool or list(bool) 

    +

    78 whether a flip of the eigenvector field is required. 

    +

    79 

    +

    80 Note 

    +

    81 ---- 

    +

    82 If the eigenvector field has multiple modes (e.g. shape n_nodes,n_modes) 

    +

    83 then for every mode a flip value is returned 

    +

    84 

    +

    85 The eigenmodes require switching if the dot product of the knn-eigenfields yield 

    +

    86 a negative result. 

    +

    87 """ 

    +

    88 assert eigenvectors1.shape == eigenvectors2.shape 

    +

    89 

    +

    90 # one eigenmode only 

    +

    91 if eigenvectors1.ndim == 1: 

    +

    92 knn_error_basic = np.dot(eigenvectors1, eigenvectors2) 

    +

    93 return knn_error_basic < 0 

    +

    94 

    +

    95 # multiple eigenmodes 

    +

    96 n_modes = min(eigenvectors1.shape[1], eigenvectors2.shape[1]) 

    +

    97 errors = [ 

    +

    98 np.dot(eigenvectors1[:, i_mode], eigenvectors2[:, i_mode]) for i_mode in range(n_modes) 

    +

    99 ] 

    +

    100 

    +

    101 return np.array([err < 0 for err in errors]) 

    +

    102 

    +

    103 

    +

    104def _compute_mode_similarities( 

    +

    105 hashes1: np.ndarray, 

    +

    106 hashes2: np.ndarray, 

    +

    107 eigenvectors_sub1: np.ndarray, 

    +

    108 eigenvectors_sub2: np.ndarray, 

    +

    109 matches: List[Tuple[int, int]], 

    +

    110) -> List[float]: 

    +

    111 """Compute the mode similarity between different meshes 

    +

    112 

    +

    113 Parameters 

    +

    114 ---------- 

    +

    115 hashes1 : np.ndarray 

    +

    116 hashes of first model 

    +

    117 hashes2 : np.ndarray 

    +

    118 hashes of second model 

    +

    119 eigenvectors_sub1 : np.ndarray 

    +

    120 eigenvector field of first model 

    +

    121 eigenvectors_sub2 : np.ndarray 

    +

    122 eigenvector field of second model 

    +

    123 matches : list(tuple(int, int)) 

    +

    124 matches of modes (every match will be computed) 

    +

    125 

    +

    126 Returns 

    +

    127 ------- 

    +

    128 mode_similarities : list(float) 

    +

    129 similarities of the matched modes 

    +

    130 

    +

    131 Notes 

    +

    132 ----- 

    +

    133 This function cannot deal with unequal sampling of the input hashes. 

    +

    134 """ 

    +

    135 

    +

    136 mode_similarities = [] 

    +

    137 for i_hash, j_hash in matches: 

    +

    138 

    +

    139 assert hashes1.shape[2] == hashes2.shape[2] 

    +

    140 

    +

    141 field1 = eigenvectors_sub1[:, i_hash] 

    +

    142 field2 = eigenvectors_sub2[:, j_hash] 

    +

    143 

    +

    144 # flip orientation of eigenvector field and hash if required 

    +

    145 if is_orientation_flip_required(field1, field2): 

    +

    146 field2 *= -1 

    +

    147 # hdf5 can not handle negative slicing 

    +

    148 mode_ = np.array(hashes2[j_hash, 1], copy=True) 

    +

    149 mode_ = mode_[::-1] 

    +

    150 else: 

    +

    151 mode_ = hashes2[j_hash, 1, :] 

    +

    152 

    +

    153 # Warning: x is usually originally hashes[i_mode, 0] 

    +

    154 x = np.linspace(0, 1, hashes1.shape[2]) 

    +

    155 norm1 = curve_normalizer(x, hashes1[i_hash, 1]) 

    +

    156 norm2 = curve_normalizer(x, mode_) 

    +

    157 if norm1 != 0 and norm2 != 0: 

    +

    158 mode_similarities.append( 

    +

    159 integrate.simps(hashes1[i_hash, 1] * mode_ / np.sqrt(norm1 * norm2), x=x) 

    +

    160 ) 

    +

    161 else: 

    +

    162 mode_similarities.append(0) 

    +

    163 

    +

    164 return mode_similarities 

    +

    165 

    +

    166 

    +

    167def _join_hash_comparison_thread_files( 

    +

    168 comparison_filepath: str, thread_filepaths: Sequence[str], n_runs: int 

    +

    169): 

    +

    170 # pylint: disable = too-many-locals 

    +

    171 

    +

    172 if os.path.exists(comparison_filepath): 

    +

    173 if os.path.isfile(comparison_filepath): 

    +

    174 os.remove(comparison_filepath) 

    +

    175 else: 

    +

    176 raise OSError("Can not delete directory", comparison_filepath) 

    +

    177 

    +

    178 with h5py.File(comparison_filepath, "w") as hdf5_file: 

    +

    179 smatrix = hdf5_file.create_dataset( 

    +

    180 "similarity_matrix", 

    +

    181 shape=(n_runs, n_runs, 25), 

    +

    182 maxshape=(n_runs, n_runs, None), 

    +

    183 dtype="float64", 

    +

    184 compression="gzip", 

    +

    185 ) 

    +

    186 ds_matches = hdf5_file.create_dataset( 

    +

    187 "matches", 

    +

    188 shape=(n_runs, n_runs, 25, 2), 

    +

    189 maxshape=(n_runs, n_runs, None, 2), 

    +

    190 dtype="int64", 

    +

    191 compression="gzip", 

    +

    192 ) 

    +

    193 ds_weights = hdf5_file.create_dataset( 

    +

    194 "weights", 

    +

    195 shape=(n_runs, n_runs, 25), 

    +

    196 maxshape=(n_runs, n_runs, None), 

    +

    197 dtype="float64", 

    +

    198 compression="gzip", 

    +

    199 ) 

    +

    200 

    +

    201 for thread_filepath in thread_filepaths: 

    +

    202 

    +

    203 # open thread file 

    +

    204 with h5py.File(thread_filepath, "r") as thread_file: 

    +

    205 

    +

    206 # insert matrix entries 

    +

    207 matrix_indexes = thread_file["matrix_indexes"] 

    +

    208 matrix_similarities = thread_file["matrix_similarities"] 

    +

    209 matrix_matches = thread_file["matrix_matches"] 

    +

    210 thread_weights = thread_file["weights"] 

    +

    211 

    +

    212 for (i_row, i_col), values, matches in zip( 

    +

    213 matrix_indexes, matrix_similarities, matrix_matches 

    +

    214 ): 

    +

    215 smatrix[i_row, i_col] = values 

    +

    216 ds_matches[i_row, i_col] = matches 

    +

    217 ds_weights[i_row, i_col] = (thread_weights[i_row] + thread_weights[i_col]) / 2 

    +

    218 

    +

    219 # delete thread file 

    +

    220 os.remove(thread_filepath) 

    +

    221 

    +

    222 

    +

    223def run_hash_comparison( 

    +

    224 comparison_filepath: str, 

    +

    225 hashes_filepaths: List[str], 

    +

    226 n_threads: int = 1, 

    +

    227 print_progress: bool = False, 

    +

    228): 

    +

    229 """Compare two hashes of a simulation run part 

    +

    230 

    +

    231 Parameters 

    +

    232 ---------- 

    +

    233 comparison_filepath: str 

    +

    234 filepath to the hdf5 in which the result of the comparison will be 

    +

    235 stored 

    +

    236 hashes_filepaths: List[str] 

    +

    237 filepath to the stored hashes 

    +

    238 n_threads: int 

    +

    239 number of threads used for the comparison 

    +

    240 print_progress: bool 

    +

    241 whether to print the progress 

    +

    242 """ 

    +

    243 

    +

    244 # pylint: disable = too-many-locals, too-many-statements 

    +

    245 

    +

    246 assert n_threads > 0 

    +

    247 

    +

    248 # fixed settings 

    +

    249 hdf5_dataset_compression = "gzip" 

    +

    250 

    +

    251 # ! this is an inlined function ! 

    +

    252 # the actual function starts way much down 

    +

    253 

    +

    254 def _threading_run_comparison(run_indices, comparison_filepath, comm_q): 

    +

    255 # pylint: disable = too-many-statements 

    +

    256 

    +

    257 n_comparisons_thread = len(run_indices) 

    +

    258 

    +

    259 # setup storage file 

    +

    260 if os.path.exists(comparison_filepath): 

    +

    261 if os.path.isfile(comparison_filepath): 

    +

    262 os.remove(comparison_filepath) 

    +

    263 else: 

    +

    264 raise OSError("Can not delete directory", comparison_filepath) 

    +

    265 

    +

    266 hdf5_file = h5py.File(comparison_filepath, "w") 

    +

    267 

    +

    268 max_len = np.max([len(entry) for entry in hashes_filepaths]) 

    +

    269 hashes_filepaths_ascii = [entry.encode("ascii", "ignore") for entry in hashes_filepaths] 

    +

    270 

    +

    271 hdf5_file.require_dataset( 

    +

    272 "filepaths", 

    +

    273 data=hashes_filepaths_ascii, 

    +

    274 shape=(len(hashes_filepaths_ascii), 1), 

    +

    275 dtype=f"S{max_len}", 

    +

    276 ) 

    +

    277 

    +

    278 n_modes_estimated = 25 

    +

    279 

    +

    280 # could be compressed to one per run only! 

    +

    281 ds_weights = hdf5_file.create_dataset( 

    +

    282 "weights", 

    +

    283 (n_runs, n_modes_estimated), 

    +

    284 maxshape=(n_runs, None), 

    +

    285 dtype="float64", 

    +

    286 compression=hdf5_dataset_compression, 

    +

    287 ) 

    +

    288 ds_matrix_indexes = hdf5_file.create_dataset( 

    +

    289 "matrix_indexes", 

    +

    290 (n_comparisons_thread, 2), 

    +

    291 dtype="float64", 

    +

    292 compression=hdf5_dataset_compression, 

    +

    293 ) 

    +

    294 ds_matrix_values = hdf5_file.create_dataset( 

    +

    295 "matrix_similarities", 

    +

    296 (n_comparisons_thread, n_modes_estimated), 

    +

    297 maxshape=(n_comparisons_thread, None), 

    +

    298 dtype="float64", 

    +

    299 compression=hdf5_dataset_compression, 

    +

    300 ) 

    +

    301 

    +

    302 # info only! 

    +

    303 ds_matrix_matches = hdf5_file.create_dataset( 

    +

    304 "matrix_matches", 

    +

    305 (n_comparisons_thread, n_modes_estimated, 2), 

    +

    306 maxshape=(n_comparisons_thread, None, 2), 

    +

    307 dtype="int64", 

    +

    308 compression=hdf5_dataset_compression, 

    +

    309 ) 

    +

    310 

    +

    311 def _save_data(computed_results, counter): 

    +

    312 

    +

    313 start = counter + 1 - len(computed_results) 

    +

    314 for i_result, result in enumerate(computed_results): 

    +

    315 

    +

    316 i_run, j_run = result["matrix_index"] 

    +

    317 similarities = result["similarities"] 

    +

    318 matches_tmp = result["matches"] 

    +

    319 

    +

    320 ds_matrix_indexes[start + i_result, :] = i_run, j_run 

    +

    321 ds_matrix_values[start + i_result, : len(similarities)] = similarities 

    +

    322 ds_matrix_matches[start + i_result, : len(matches_tmp)] = matches_tmp 

    +

    323 weights1 = result["weights1"] 

    +

    324 n_weights1 = len(weights1) 

    +

    325 ds_weights[i_run, :n_weights1] = weights1 

    +

    326 weights2 = result["weights2"] 

    +

    327 n_weights2 = len(weights2) 

    +

    328 ds_weights[j_run, :n_weights2] = weights2 

    +

    329 

    +

    330 computed_results.clear() 

    +

    331 

    +

    332 # log 

    +

    333 computation_times = [] 

    +

    334 io_times = [] 

    +

    335 

    +

    336 counter = None # bugfix 

    +

    337 computed_results = [] 

    +

    338 for counter, (i_run, j_run) in enumerate(run_indices): 

    +

    339 

    +

    340 start = time.time() 

    +

    341 

    +

    342 # get data (io) 

    +

    343 fp1 = h5py.File(hashes_filepaths[i_run], "r") 

    +

    344 fp2 = h5py.File(hashes_filepaths[j_run], "r") 

    +

    345 hashes1 = fp1["hashes"] 

    +

    346 hashes2 = fp2["hashes"] 

    +

    347 xyz1, xyz2 = fp1["subsample_xyz"], fp2["subsample_xyz"] 

    +

    348 eigenvalues1, eigenvalues2 = fp1["eigenvalues"], fp2["eigenvalues"] 

    +

    349 

    +

    350 # hdf5 can only handle increasing indexes ... thus we need to copy the field 

    +

    351 eigenvectors_sub1 = np.array(fp1["eigenvectors"], copy=True) 

    +

    352 eigenvectors_sub2 = np.array(fp2["eigenvectors"], copy=True) 

    +

    353 

    +

    354 # time 

    +

    355 io_times.append(time.time() - start) 

    +

    356 start = time.time() 

    +

    357 

    +

    358 # match points roughly in xyz 

    +

    359 tree = KDTree(xyz1) 

    +

    360 knn_indexes = tree.query(xyz2, return_distance=False, k=1) 

    +

    361 eigenvectors_sub1 = np.squeeze(eigenvectors_sub1[knn_indexes]) 

    +

    362 

    +

    363 # match modes 

    +

    364 matches = _match_modes(hashes1, hashes2, eigenvectors_sub1, eigenvectors_sub2) 

    +

    365 

    +

    366 # mode weights 

    +

    367 weights1 = get_mode_weights_inv(eigenvalues1) 

    +

    368 weights2 = get_mode_weights_inv(eigenvalues2) 

    +

    369 

    +

    370 # compute mode similarity 

    +

    371 mode_similarities = _compute_mode_similarities( 

    +

    372 hashes1, hashes2, eigenvectors_sub1, eigenvectors_sub2, matches 

    +

    373 ) 

    +

    374 

    +

    375 # time 

    +

    376 computation_times.append(time.time() - start) 

    +

    377 

    +

    378 # assemble computations 

    +

    379 computation_result = { 

    +

    380 "matrix_index": [i_run, j_run], 

    +

    381 "matches": matches, # info only 

    +

    382 "similarities": mode_similarities, 

    +

    383 "weights1": weights1.tolist(), 

    +

    384 "weights2": weights2.tolist(), 

    +

    385 } 

    +

    386 computed_results.append(computation_result) 

    +

    387 

    +

    388 # save to file occasionally 

    +

    389 if counter % 500 == 0: 

    +

    390 _save_data(computed_results, counter) 

    +

    391 

    +

    392 # print status 

    +

    393 if comm_q and not comm_q.full(): 

    +

    394 comm_q.put( 

    +

    395 { 

    +

    396 "i_entry": counter + 1, 

    +

    397 "n_entries": len(run_indices), 

    +

    398 "io_time": np.mean(io_times), 

    +

    399 "computation_time": np.mean(computation_times), 

    +

    400 }, 

    +

    401 False, 

    +

    402 ) 

    +

    403 

    +

    404 # dump at end (if anything was computed) 

    +

    405 if counter: 

    +

    406 _save_data(computed_results, counter) 

    +

    407 

    +

    408 # <-- FUNCTION STARTS HERE 

    +

    409 

    +

    410 # helper vars 

    +

    411 n_runs = len(hashes_filepaths) 

    +

    412 

    +

    413 # THREADS 

    +

    414 if n_threads == 1: 

    +

    415 matrix_entries = [] 

    +

    416 for i_run in range(n_runs): 

    +

    417 for j_run in range(i_run + 1, n_runs): 

    +

    418 matrix_entries.append((i_run, j_run)) 

    +

    419 _threading_run_comparison(matrix_entries, comparison_filepath, None) 

    +

    420 else: 

    +

    421 # enlist runs 

    +

    422 thread_matrix_entries = [[] for i_thread in range(n_threads)] 

    +

    423 i_thread = 0 

    +

    424 for i_run in range(n_runs): 

    +

    425 for j_run in range(i_run + 1, n_runs): 

    +

    426 thread_matrix_entries[i_thread % n_threads].append((i_run, j_run)) 

    +

    427 i_thread += 1 

    +

    428 

    +

    429 # comm queues 

    +

    430 queues = [multiprocessing.Queue(1) for i_thread in range(n_threads)] 

    +

    431 

    +

    432 # run threads 

    +

    433 thread_filepaths = [ 

    +

    434 comparison_filepath + f"_thread{i_thread}" for i_thread in range(n_threads) 

    +

    435 ] 

    +

    436 threads = [ 

    +

    437 multiprocessing.Process( 

    +

    438 target=_threading_run_comparison, 

    +

    439 args=(matrix_indexes, thread_filepaths[i_thread], queues[i_thread]), 

    +

    440 ) 

    +

    441 for i_thread, matrix_indexes in enumerate(thread_matrix_entries) 

    +

    442 ] 

    +

    443 for thread in threads: 

    +

    444 thread.start() 

    +

    445 

    +

    446 # logging 

    +

    447 if print_progress: 

    +

    448 thread_stats = [ 

    +

    449 { 

    +

    450 "i_entry": 0, 

    +

    451 "n_entries": len(thread_matrix_entries[i_thread]), 

    +

    452 "io_time": 0, 

    +

    453 "computation_time": 0, 

    +

    454 } 

    +

    455 for i_thread in range(n_threads) 

    +

    456 ] 

    +

    457 

    +

    458 while any(thread.is_alive() for thread in threads): 

    +

    459 

    +

    460 # fetch data from channel 

    +

    461 for i_thread, comm_q in enumerate(queues): 

    +

    462 if not comm_q.empty(): 

    +

    463 thread_stats[i_thread] = comm_q.get(False) 

    +

    464 

    +

    465 # print msg 

    +

    466 # pylint: disable = consider-using-f-string 

    +

    467 thread_msg_list = [ 

    +

    468 ( 

    +

    469 f"Thread {i_thread}: " 

    +

    470 f"{(100 * stats['i_entry'] / stats['n_entries']):.1f}% " 

    +

    471 f"({stats['i_entry']}/{stats['n_entries']}) " 

    +

    472 f"{stats['computation_time']:.2f}s | " 

    +

    473 ) 

    +

    474 for i_thread, stats in enumerate(thread_stats) 

    +

    475 ] 

    +

    476 msg = "| " + "".join(thread_msg_list) + "\r" 

    +

    477 print(msg, end="") 

    +

    478 time.sleep(0.35) 

    +

    479 

    +

    480 # print completion message 

    +

    481 thread_msg_list = [ 

    +

    482 ( 

    +

    483 f"Thread {i_thread}: " 

    +

    484 f"{(100 * stats['i_entry'] / stats['n_entries']):.1f}% " 

    +

    485 f"({stats['i_entry']}/{stats['n_entries']}) " 

    +

    486 f"{stats['computation_time']:.2f}s | " 

    +

    487 ) 

    +

    488 for i_thread, stats in enumerate(thread_stats) 

    +

    489 ] 

    +

    490 msg = "| " + "".join(thread_msg_list) + "\r" 

    +

    491 print(msg, end="") 

    +

    492 

    +

    493 print("") 

    +

    494 print("done.") 

    +

    495 

    +

    496 # join thread worker files 

    +

    497 for thread in threads: 

    +

    498 thread.join() 

    +

    499 _join_hash_comparison_thread_files(comparison_filepath, thread_filepaths, n_runs) 

    +

    500 

    +

    501 

    +

    502def is_mode_match( 

    +

    503 eigenvectors1: np.ndarray, 

    +

    504 eigenvectors2: np.ndarray, 

    +

    505 knn_indexes: Union[np.ndarray, None] = None, 

    +

    506): 

    +

    507 """Detect a mode match from the eigenvector field 

    +

    508 

    +

    509 Parameters 

    +

    510 ---------- 

    +

    511 eigenvectors1 : np.ndarray 

    +

    512 subsample eigenvector field from model 1 

    +

    513 eigenvectors2 : np.ndarray 

    +

    514 subsample eigenvector field from model 2 

    +

    515 knn_indexes : np.ndarray 

    +

    516 kdd_indexes obtained for matching xyz1 and xyz2 of the eigenvectorfields 

    +

    517 so that only the coordinates of near points will be compared 

    +

    518 

    +

    519 Returns 

    +

    520 ------- 

    +

    521 is_matched : bool 

    +

    522 

    +

    523 Notes 

    +

    524 ----- 

    +

    525 A mode match is detected by watching the distribution 

    +

    526 of the eigenvector field errors. In case of a mode switch 

    +

    527 a correct orientation of the field is (obviously) not possible. 

    +

    528 In such a case will the probability distribution of the 

    +

    529 basic error and inverted error be quite similar, since both are wrong. 

    +

    530 

    +

    531 A matching orientation (empirically) seems to have a normal 

    +

    532 distribution like character. A non-matching orientation 

    +

    533 is more like a uniform distribution (constantly wrong across 

    +

    534 the entire model). 

    +

    535 """ 

    +

    536 

    +

    537 # pylint: disable = too-many-locals 

    +

    538 

    +

    539 # if the jensen-shannon-divergence is below this value 

    +

    540 # then a mode switch is assumed 

    +

    541 distance_limit = 0.1 

    +

    542 

    +

    543 # number of bins for probability distribution 

    +

    544 n_bins = 25 

    +

    545 

    +

    546 # (1) match sub-samples in xyz 

    +

    547 # tree = KDTree(xyz1) 

    +

    548 # indexes = tree.query(xyz2, return_distance=False, k=1) 

    +

    549 

    +

    550 # (2) compute field errors of normal field and inverted field 

    +

    551 if knn_indexes: 

    +

    552 tmp1 = eigenvectors1[knn_indexes].flatten() - eigenvectors2 

    +

    553 tmp2 = eigenvectors1[knn_indexes].flatten() + eigenvectors2 

    +

    554 else: 

    +

    555 tmp1 = eigenvectors1 - eigenvectors2 

    +

    556 tmp2 = eigenvectors1 + eigenvectors2 

    +

    557 

    +

    558 # (3) create a probability distribution for each error vector 

    +

    559 

    +

    560 # bin the values 

    +

    561 xmin = min(tmp1.min(), tmp2.min()) 

    +

    562 xmax = max(tmp1.max(), tmp2.max()) 

    +

    563 bins = np.linspace(xmin, xmax, n_bins) 

    +

    564 indexes_p1 = np.digitize(tmp1, bins) 

    +

    565 indexes_p2 = np.digitize(tmp2, bins) 

    +

    566 p1 = np.bincount(indexes_p1) / len(tmp1) 

    +

    567 p2 = np.bincount(indexes_p2) / len(tmp2) 

    +

    568 

    +

    569 # align bin vector size 

    +

    570 p1_tmp = np.zeros(max(len(p1), len(p2))) 

    +

    571 p2_tmp = np.zeros(max(len(p1), len(p2))) 

    +

    572 p1_tmp[: len(p1)] = p1 

    +

    573 p2_tmp[: len(p2)] = p2 

    +

    574 p1 = p1_tmp 

    +

    575 p2 = p2_tmp 

    +

    576 

    +

    577 # compute similarity 

    +

    578 similarity_js = jensen_shannon_entropy(p1, p2) 

    +

    579 

    +

    580 return similarity_js > distance_limit 

    +

    581 

    +

    582 

    +

    583def get_mode_weights_inv(vec: np.ndarray): 

    +

    584 """Inverse value weights (higher decay than softmax)""" 

    +

    585 val = 1.0 / (vec[:]) 

    +

    586 return val / np.sum(val) 

    +

    587 

    +

    588 

    +

    589def curve_normalizer(x: np.ndarray, y: np.ndarray): 

    +

    590 """Compute the curve normalizer for a curve dot product 

    +

    591 

    +

    592 Parameters 

    +

    593 ---------- 

    +

    594 x : np.ndarray 

    +

    595 array of x values 

    +

    596 y : np.ndarray 

    +

    597 array of y values 

    +

    598 

    +

    599 Returns 

    +

    600 ------- 

    +

    601 norm : float 

    +

    602 normalizing factor 

    +

    603 """ 

    +

    604 return integrate.simps(y**2, x=x) 

    +

    605 

    +

    606 

    +

    607def compute_hashes( 

    +

    608 eig_vecs: np.ndarray, 

    +

    609 result_field: np.ndarray, 

    +

    610 n_points: int = 100, 

    +

    611 bandwidth: float = 0.05, 

    +

    612) -> List[Tuple[np.ndarray, np.ndarray]]: 

    +

    613 """Compute hashes for a result field 

    +

    614 

    +

    615 Parameters 

    +

    616 ---------- 

    +

    617 eig_vecs : np.ndarray 

    +

    618 eigenvector field of the component with (n_samples, n_modes) 

    +

    619 result_field : np.ndarray 

    +

    620 result field to hash 

    +

    621 n_points : resolution of the hash 

    +

    622 Number of equidistant points to use for smoothing. 

    +

    623 Should be determined from the mesh size (2.5 times average elem size). 

    +

    624 bandwidth : float 

    +

    625 Bandwidth in percent of the kernel. 

    +

    626 Recommended as 5 times global element size median. 

    +

    627 

    +

    628 Returns 

    +

    629 ------- 

    +

    630 hash_functions : list(tuple(np.ndarray, np.ndarray)) 

    +

    631 list of the computed hash functions. Every item is the hash for 

    +

    632 an eigenmode. The hash consists of a pair of two functions: (x,y). 

    +

    633 For comparison, only y is usually used. 

    +

    634 """ 

    +

    635 

    +

    636 assert eig_vecs.shape[0] == len(result_field), f"{eig_vecs.shape[0]} != {len(result_field)}" 

    +

    637 

    +

    638 # Note: needs to be vectorized to speed it up 

    +

    639 

    +

    640 hash_functions = [] 

    +

    641 for i_eigen in range(eig_vecs.shape[1]): 

    +

    642 

    +

    643 xmin = eig_vecs[:, i_eigen].min() 

    +

    644 xmax = eig_vecs[:, i_eigen].max() 

    +

    645 

    +

    646 x = np.linspace(xmin, xmax, n_points) 

    +

    647 y = np.zeros(n_points) 

    +

    648 

    +

    649 local_bandwidth = bandwidth * (xmax - xmin) 

    +

    650 c = -0.5 / local_bandwidth**2 

    +

    651 

    +

    652 for ii, point in enumerate(x): 

    +

    653 y[ii] = np.dot(result_field, np.exp(c * np.square(point - eig_vecs[:, i_eigen]))) 

    +

    654 y /= np.sqrt(2 * np.pi) * bandwidth 

    +

    655 

    +

    656 hash_functions.append((x, y)) 

    +

    657 

    +

    658 return hash_functions 

    +
    + + + diff --git a/coverage/d_febbda7c1df641f6_hashing_sphere_py.html b/coverage/d_febbda7c1df641f6_hashing_sphere_py.html new file mode 100644 index 0000000..707c0a3 --- /dev/null +++ b/coverage/d_febbda7c1df641f6_hashing_sphere_py.html @@ -0,0 +1,355 @@ + + + + + Coverage for lasso/dimred/hashing_sphere.py: 0% + + + + + +
    +
    +

    + Coverage for lasso/dimred/hashing_sphere.py: + 0% +

    + +

    + 85 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import os 

    +

    2import typing 

    +

    3import warnings 

    +

    4 

    +

    5import h5py 

    +

    6import numpy as np 

    +

    7 

    +

    8# scipy is C-code which causes invalid linter warning about ConvexHull not 

    +

    9# being around. 

    +

    10# pylint: disable = no-name-in-module 

    +

    11from scipy.spatial import ConvexHull 

    +

    12from scipy.stats import binned_statistic_2d 

    +

    13from sklearn.preprocessing import normalize 

    +

    14 

    +

    15warnings.simplefilter(action="ignore", category=FutureWarning) 

    +

    16 

    +

    17 

    +

    18def _create_sphere_mesh(diameter: np.ndarray) -> typing.Tuple[np.ndarray, np.ndarray]: 

    +

    19 """Compute the alpha and beta increments for a 

    +

    20 meshed sphere for binning the projected values 

    +

    21 

    +

    22 Parameters 

    +

    23 ---------- 

    +

    24 diameter : np.ndarray 

    +

    25 sphere diameter 

    +

    26 

    +

    27 Returns 

    +

    28 ------- 

    +

    29 bin_alpha : np.ndarray 

    +

    30 alpha bin boundaries 

    +

    31 bin_beta : np.ndarray 

    +

    32 beta bin boundaries 

    +

    33 """ 

    +

    34 

    +

    35 assert diameter.dtype == np.float 

    +

    36 

    +

    37 # partition latitude 

    +

    38 n_alpha = 145 

    +

    39 

    +

    40 # sphere radius 

    +

    41 r = diameter / 2 

    +

    42 

    +

    43 # sphere area 

    +

    44 a_sphere = 4 * np.pi * r**2 

    +

    45 

    +

    46 # number of elements 

    +

    47 n_ele = 144**2 

    +

    48 

    +

    49 # area of one element 

    +

    50 a_ele = a_sphere / n_ele 

    +

    51 

    +

    52 # bin values for alpha and the increment 

    +

    53 bin_alpha, delt_alpha = np.linspace(0, 2 * np.pi, n_alpha, retstep=True) 

    +

    54 

    +

    55 # for beta axis binning 

    +

    56 count = np.linspace(0.0, 144.0, 145) 

    +

    57 # compute required bin boundaries to ensure area of each element is the same 

    +

    58 tmp = count * a_ele 

    +

    59 tmp /= r**2 * delt_alpha 

    +

    60 bin_beta = 1 - tmp 

    +

    61 

    +

    62 # In case of trailing floats (-1.00000004 for example) 

    +

    63 if bin_beta[-1] < -1: 

    +

    64 bin_beta[-1] = -1 

    +

    65 

    +

    66 bin_beta = np.arccos(bin_beta) 

    +

    67 

    +

    68 return bin_alpha, bin_beta 

    +

    69 

    +

    70 

    +

    71def _project_to_sphere( 

    +

    72 points: np.ndarray, centroid: np.ndarray, axis: str = "Z" 

    +

    73) -> typing.Tuple[np.ndarray, np.ndarray]: 

    +

    74 """compute the projection vectors of centroid to each point in terms of spherical coordinates 

    +

    75 

    +

    76 Parameters 

    +

    77 ---------- 

    +

    78 points : np.ndarray 

    +

    79 hashes of first model 

    +

    80 centroid : np.ndarray 

    +

    81 hashes of first model 

    +

    82 AXIS : str 

    +

    83 global axis position 

    +

    84 

    +

    85 Returns 

    +

    86 ------- 

    +

    87 proj_alpha : np.ndarray 

    +

    88 alpha angles of all points 

    +

    89 proj_beta : np.ndarray 

    +

    90 beta angle of all points 

    +

    91 """ 

    +

    92 # standard global axis 

    +

    93 indexes = [0, 1, 2] 

    +

    94 

    +

    95 # correct the indexes based on user input 

    +

    96 if axis == "Z": 

    +

    97 indexes = [0, 1, 2] # z axis aligned with global z-axis 

    +

    98 elif axis == "Y": 

    +

    99 indexes = [0, 2, 1] # z axis aligned with global y-axis 

    +

    100 elif axis == "X": 

    +

    101 indexes = [2, 1, 0] # z axis aligned with global x-axis 

    +

    102 

    +

    103 # projection 

    +

    104 vec = points - centroid 

    +

    105 

    +

    106 # normalize 

    +

    107 vec = normalize(vec, axis=1, norm="l2") 

    +

    108 

    +

    109 # alpha based on sphere axis alignment 

    +

    110 ang = np.arctan2(vec[:, indexes[1]], vec[:, indexes[0]]) 

    +

    111 

    +

    112 # atan2 returns neg angles for values greater than 180 

    +

    113 neg_indexes = np.where(ang < 0) 

    +

    114 ang[neg_indexes] += 2 * np.pi 

    +

    115 

    +

    116 proj_alpha = ang 

    +

    117 proj_beta = np.arccos(vec[:, indexes[2]]) 

    +

    118 

    +

    119 return proj_alpha, proj_beta 

    +

    120 

    +

    121 

    +

    122def sphere_hashing( 

    +

    123 bin_numbers: np.ndarray, bin_counts: np.ndarray, field: np.ndarray 

    +

    124) -> np.ndarray: 

    +

    125 """Compute average field values for all the binned values 

    +

    126 

    +

    127 Parameters 

    +

    128 ---------- 

    +

    129 bin_numbers : np.ndarray 

    +

    130 bin numbers for the respective index for the x and y-axis 

    +

    131 bin_counts : np.ndarray 

    +

    132 number of points that fall into each bin 

    +

    133 field : np.ndarray 

    +

    134 a fields value (p_strain,velocity etc..) 

    +

    135 

    +

    136 Returns 

    +

    137 ------- 

    +

    138 binned_field : np.ndarray 

    +

    139 the averaged field values for each field 

    +

    140 """ 

    +

    141 # bin_numbers holds the bin_number for its respective index and must have 

    +

    142 # same length as the number of points 

    +

    143 assert len(bin_numbers[0] == len(field)) 

    +

    144 # check data types 

    +

    145 assert bin_numbers.dtype == np.int 

    +

    146 assert bin_counts.dtype == np.float 

    +

    147 

    +

    148 n_rows = bin_counts.shape[0] 

    +

    149 n_cols = bin_counts.shape[1] 

    +

    150 

    +

    151 # bin x and y indexes for each point in field 

    +

    152 binx = np.asarray(bin_numbers[0]) - 1 

    +

    153 biny = np.asarray(bin_numbers[1]) - 1 

    +

    154 

    +

    155 # bincout for averaging 

    +

    156 bin_count = np.zeros((n_rows, n_cols)) 

    +

    157 

    +

    158 # averaged result to return 

    +

    159 binned_field = np.zeros((n_rows, n_cols)) 

    +

    160 

    +

    161 # bin the field values 

    +

    162 binned_field[binx[:], biny[:]] += field[:] 

    +

    163 # count 

    +

    164 bin_count[binx[:], biny[:]] += 1 

    +

    165 

    +

    166 binned_field = binned_field.flatten() 

    +

    167 bin_count = bin_count.flatten() 

    +

    168 

    +

    169 # exclude all zero entries 

    +

    170 nonzero_inds = np.where(bin_count != 0) 

    +

    171 # average the fields 

    +

    172 binned_field[nonzero_inds] /= bin_count[nonzero_inds] 

    +

    173 

    +

    174 return binned_field 

    +

    175 

    +

    176 

    +

    177def compute_hashes( 

    +

    178 source_path: str, target_path: str = None, n_files: int = None, ret_vals: bool = False 

    +

    179): 

    +

    180 """Compute the hashes using spherical projection of the field values 

    +

    181 

    +

    182 Parameters 

    +

    183 ---------- 

    +

    184 source_path : str 

    +

    185 path to source directory from which the displacements/strains are 

    +

    186 loaded, this directory should contain HDF5 files of the data 

    +

    187 target_path : str (optional) 

    +

    188 directory in which the hashes are to be written to 

    +

    189 n_files : int (optional) 

    +

    190 number of files to process, useful for verification and quick visualization 

    +

    191 ret_vals : bool (optional) 

    +

    192 return the hashes, setting this to true, be aware that the hash list can 

    +

    193 take up a lot of ram 

    +

    194 

    +

    195 Returns 

    +

    196 ------- 

    +

    197 hashes : np.ndarray 

    +

    198 hashed field values 

    +

    199 

    +

    200 Notes 

    +

    201 ----- 

    +

    202 Key for node_displacements for all timesteps: 'xyz' 

    +

    203 Key for field values for all timesteps: 'fields' 

    +

    204 """ 

    +

    205 

    +

    206 # pylint: disable = too-many-locals 

    +

    207 

    +

    208 node_displacement_key = "xyz" 

    +

    209 fields_key = "fields" 

    +

    210 file_name = "run_" 

    +

    211 counter = 0 

    +

    212 

    +

    213 hashed_data = [] 

    +

    214 # if n_files is none get total number of files in directory 

    +

    215 if n_files is None: 

    +

    216 n_files = len(os.listdir(source_path)) 

    +

    217 

    +

    218 # load the displacements and compute the hashes for each run and consider 

    +

    219 # the last time step only 

    +

    220 for ii in range(n_files): 

    +

    221 with h5py.File(source_path + file_name + str(ii) + ".h5", "r") as hf: 

    +

    222 node_displacements = hf[node_displacement_key] 

    +

    223 fields = hf[fields_key] 

    +

    224 

    +

    225 xyz = node_displacements[:, 0, :] 

    +

    226 

    +

    227 # centorid of point cloud 

    +

    228 centroid = np.mean(xyz, axis=0) 

    +

    229 

    +

    230 # convex hull of point cloud 

    +

    231 hull = ConvexHull(xyz) 

    +

    232 dist = np.linalg.norm(hull.max_bound - hull.min_bound) 

    +

    233 

    +

    234 # compute the bin intervals for alpha and beta split into 144 elements 

    +

    235 bins_a, bins_b = _create_sphere_mesh(dist) 

    +

    236 

    +

    237 # compute the point projections 

    +

    238 proj_alpha, proj_beta = _project_to_sphere(xyz, centroid, axis="Y") 

    +

    239 

    +

    240 # bin the spherical coordinates in terms of alpha and beta 

    +

    241 histo = binned_statistic_2d( 

    +

    242 proj_alpha, proj_beta, None, "count", bins=[bins_a, bins_b], expand_binnumbers=True 

    +

    243 ) 

    +

    244 # get the field value 

    +

    245 p_strains = fields[:, -1] 

    +

    246 

    +

    247 # compute hashes 

    +

    248 hashes = sphere_hashing(histo.binnumber, histo.statistic, p_strains) 

    +

    249 

    +

    250 if target_path: 

    +

    251 # write the hashes for each timestep to file 

    +

    252 with h5py.File(target_path + "hashes_sphere_" + str(counter) + ".h5", "w") as hf: 

    +

    253 hf.create_dataset("hashes", data=hashes) 

    +

    254 

    +

    255 if ret_vals: 

    +

    256 hashed_data.append(hashes) 

    +

    257 

    +

    258 return np.asarray(hashed_data) 

    +
    + + + diff --git a/coverage/d_febbda7c1df641f6_run_py.html b/coverage/d_febbda7c1df641f6_run_py.html new file mode 100644 index 0000000..c1cee55 --- /dev/null +++ b/coverage/d_febbda7c1df641f6_run_py.html @@ -0,0 +1,198 @@ + + + + + Coverage for lasso/dimred/run.py: 0% + + + + + +
    +
    +

    + Coverage for lasso/dimred/run.py: + 0% +

    + +

    + 28 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1from rich.console import Console 

    +

    2from rich.theme import Theme 

    +

    3 

    +

    4from lasso.dimred.dimred_run import ( 

    +

    5 DIMRED_STAGES, 

    +

    6 DimredRun, 

    +

    7 DimredRunError, 

    +

    8 DimredStage, 

    +

    9 parse_dimred_args, 

    +

    10) 

    +

    11 

    +

    12 

    +

    13def main(): 

    +

    14 """Runs the dimensionality reduction CLI""" 

    +

    15 

    +

    16 # parse command line stuff 

    +

    17 parser = parse_dimred_args() 

    +

    18 log_theme = Theme( 

    +

    19 {"info": "royal_blue1", "success": "green", "warning": "dark_orange3", "error": "bold red"} 

    +

    20 ) 

    +

    21 console = Console(theme=log_theme, record=True, highlight=False) 

    +

    22 

    +

    23 try: 

    +

    24 # parse settings from command line 

    +

    25 dimred_run = DimredRun( 

    +

    26 reference_run=parser.reference_run, 

    +

    27 simulation_runs=parser.simulation_runs, 

    +

    28 console=console, 

    +

    29 exclude_runs=parser.exclude_runs, 

    +

    30 project_dir=parser.project_dir, 

    +

    31 html_name=parser.html_name, 

    +

    32 html_set_timestamp=parser.html_timestamp, 

    +

    33 img_path=parser.embedding_images, 

    +

    34 logfile_filepath=parser.logfile_filepath, 

    +

    35 n_processes=parser.n_processes, 

    +

    36 part_id_filter=parser.part_ids, 

    +

    37 start_stage=parser.start_stage, 

    +

    38 end_stage=parser.end_stage, 

    +

    39 timestep=parser.timestep, 

    +

    40 cluster_args=parser.cluster_args, 

    +

    41 outlier_args=parser.outlier_args, 

    +

    42 ) 

    +

    43 

    +

    44 # do the thing 

    +

    45 console.print() 

    +

    46 console.print(" ---- Running Routines ---- ") 

    +

    47 console.print() 

    +

    48 

    +

    49 # initiate threading pool for handling jobs 

    +

    50 with dimred_run: 

    +

    51 

    +

    52 # setup 

    +

    53 if ( 

    +

    54 dimred_run.start_stage_index 

    +

    55 <= DIMRED_STAGES.index(DimredStage.REFERENCE_RUN.value) 

    +

    56 <= dimred_run.end_stage_index 

    +

    57 ): 

    +

    58 dimred_run.process_reference_run() 

    +

    59 

    +

    60 # import 

    +

    61 if ( 

    +

    62 dimred_run.start_stage_index 

    +

    63 <= DIMRED_STAGES.index(DimredStage.IMPORT_RUNS.value) 

    +

    64 <= dimred_run.end_stage_index 

    +

    65 ): 

    +

    66 dimred_run.subsample_to_reference_run() 

    +

    67 

    +

    68 # math 

    +

    69 if ( 

    +

    70 dimred_run.start_stage_index 

    +

    71 <= DIMRED_STAGES.index(DimredStage.REDUCTION.value) 

    +

    72 <= dimred_run.end_stage_index 

    +

    73 ): 

    +

    74 dimred_run.dimension_reduction_svd() 

    +

    75 

    +

    76 # clustering 

    +

    77 if ( 

    +

    78 dimred_run.start_stage_index 

    +

    79 <= DIMRED_STAGES.index(DimredStage.CLUSTERING.value) 

    +

    80 <= dimred_run.end_stage_index 

    +

    81 ): 

    +

    82 dimred_run.clustering_results() 

    +

    83 

    +

    84 # export 

    +

    85 if ( 

    +

    86 dimred_run.start_stage_index 

    +

    87 <= DIMRED_STAGES.index(DimredStage.EXPORT_PLOT.value) 

    +

    88 <= dimred_run.end_stage_index 

    +

    89 ): 

    +

    90 dimred_run.visualize_results() 

    +

    91 

    +

    92 # print logfile 

    +

    93 console.save_html(dimred_run.logfile_filepath) 

    +

    94 

    +

    95 # Catch if DimredrunError was called 

    +

    96 except DimredRunError as err: 

    +

    97 print(err) 

    +

    98 

    +

    99 

    +

    100if __name__ == "__main__": 

    +

    101 main() 

    +
    + + + diff --git a/coverage/d_febbda7c1df641f6_test_dimred_run_py.html b/coverage/d_febbda7c1df641f6_test_dimred_run_py.html new file mode 100644 index 0000000..5fe2cc5 --- /dev/null +++ b/coverage/d_febbda7c1df641f6_test_dimred_run_py.html @@ -0,0 +1,359 @@ + + + + + Coverage for lasso/dimred/test_dimred_run.py: 99% + + + + + +
    +
    +

    + Coverage for lasso/dimred/test_dimred_run.py: + 99% +

    + +

    + 73 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import os 

    +

    2import tempfile 

    +

    3from unittest import TestCase 

    +

    4 

    +

    5import h5py 

    +

    6import numpy as np 

    +

    7 

    +

    8from lasso.dimred.dimred_run import DIMRED_STAGES, DimredRun, DimredRunError, HDF5FileNames 

    +

    9from lasso.dimred.test_plot_creator import create_50_fake_plots 

    +

    10 

    +

    11 

    +

    12class TestDimredRun(TestCase): 

    +

    13 def test_run(self): 

    +

    14 """Verifies correct function of DimredRun.py""" 

    +

    15 verification_hdf5_file = h5py.File("test/DimredRunTest/verificationFile.hdf5", "r") 

    +

    16 

    +

    17 with tempfile.TemporaryDirectory() as tmpdir: 

    +

    18 

    +

    19 # create simulation runs 

    +

    20 create_50_fake_plots(folder=tmpdir, n_nodes_x=500, n_nodes_y=10) 

    +

    21 

    +

    22 # collect all simulation runs 

    +

    23 # sim_dir = "test/dimredTestPlots" 

    +

    24 sim_files = os.listdir(tmpdir) 

    +

    25 # sim_files.pop(sim_files.index("htmlTestPage.html")) 

    +

    26 sim_runs = [] 

    +

    27 for sim in sim_files: 

    +

    28 sim_runs.append(os.path.join(tmpdir, sim, "plot")) 

    +

    29 

    +

    30 test_run = DimredRun( 

    +

    31 reference_run=os.path.join(tmpdir, "SVDTestPlot00/plot"), 

    +

    32 simulation_runs=sim_runs, 

    +

    33 start_stage=DIMRED_STAGES[0], 

    +

    34 end_stage="CLUSTERING", 

    +

    35 console=None, 

    +

    36 project_dir="test/DimredRunTest", 

    +

    37 n_processes=5, 

    +

    38 cluster_args=["kmeans"], 

    +

    39 ) 

    +

    40 

    +

    41 with test_run: 

    +

    42 # verify creation of reference_subsample 

    +

    43 # to be able to reproduce results, each DimredRun must return same results 

    +

    44 test_run.process_reference_run() 

    +

    45 

    +

    46 # check if reference subsamples match 

    +

    47 test_refsample = test_run.h5file[HDF5FileNames.SUBSAMPLE_SAVE_NAME.value] 

    +

    48 verification_refsample = verification_hdf5_file[ 

    +

    49 HDF5FileNames.SUBSAMPLE_SAVE_NAME.value 

    +

    50 ] 

    +

    51 self.assertEqual(test_refsample.shape, verification_refsample.shape) 

    +

    52 self.assertTrue((test_refsample[:] - verification_refsample[:]).max() == 0) 

    +

    53 

    +

    54 # check if the expected reference run is chosen 

    +

    55 self.assertEqual( 

    +

    56 os.path.abspath(os.path.join(tmpdir, "SVDTestPlot00/plot")), 

    +

    57 test_run.reference_run, 

    +

    58 ) 

    +

    59 

    +

    60 # check if subsampled samples match 

    +

    61 test_run.subsample_to_reference_run() 

    +

    62 

    +

    63 # get subsampled samples 

    +

    64 test_sub_group = test_run.h5file[HDF5FileNames.SUBSAMPLED_GROUP_NAME.value] 

    +

    65 test_subs = np.stack([test_sub_group[key][:] for key in test_sub_group.keys()]) 

    +

    66 

    +

    67 # check if shape is equal to (n_samples, timesteps, subsampled nodes, dims) 

    +

    68 # we have 50 sample, minus ref_run is 49 

    +

    69 # we have 5 timesteps 

    +

    70 # we subsample to 2000 nodes 

    +

    71 # we always have 3 spatial dimensions 

    +

    72 self.assertEqual(test_subs.shape, (49, 5, 2000, 3)) 

    +

    73 

    +

    74 # check if svd yields consistent results 

    +

    75 test_run.dimension_reduction_svd() 

    +

    76 

    +

    77 # get test betas 

    +

    78 test_betas_group = test_run.h5file[HDF5FileNames.BETAS_GROUP_NAME.value] 

    +

    79 test_ids = np.stack([key for key in test_betas_group.keys()]) 

    +

    80 test_betas = np.stack([test_betas_group[key][:] for key in test_betas_group.keys()]) 

    +

    81 

    +

    82 # we check if test_ids and test_betas are of correct shape 

    +

    83 # we have 44 samples, 5 timesteps and save the first 10 betas 

    +

    84 self.assertEqual(test_ids.shape, (49,)) 

    +

    85 self.assertEqual(test_betas.shape, (49, 5, 10)) 

    +

    86 

    +

    87 test_v_rob = test_run.h5file[HDF5FileNames.V_ROB_SAVE_NAME.value][:] 

    +

    88 # shape of v_rob must be (eigen, timesteps, nodes) 

    +

    89 self.assertEqual(test_v_rob.shape, (10, 5, 2000 * 3)) 

    +

    90 

    +

    91 # verify that calculated betas are reproducable as expected 

    +

    92 # first, create displ mat containing difference in displ over time 

    +

    93 verify_displ_stacked = test_subs.reshape(49, 5, 2000 * 3) 

    +

    94 verify_diff_mat = np.stack( 

    +

    95 [verify_displ_stacked[:, 0, :] for _ in range(5)] 

    +

    96 ).reshape(49, 5, 2000 * 3) 

    +

    97 verify_displ_stacked = verify_displ_stacked - verify_diff_mat 

    +

    98 

    +

    99 # calculate betas and check if they are similar 

    +

    100 verify_betas = np.einsum("stn, ktn -> stk", verify_displ_stacked, test_v_rob) 

    +

    101 self.assertTrue(np.allclose(verify_betas, test_betas)) 

    +

    102 

    +

    103 # recalculate displ 

    +

    104 recalc_displ_stacked = np.einsum("stk, ktn -> stn", test_betas, test_v_rob) 

    +

    105 

    +

    106 # Due to projection into eigenspace and back not using all avaiable eigenvectors, 

    +

    107 # a small error margin is inevitable 

    +

    108 self.assertTrue((verify_displ_stacked - recalc_displ_stacked).max() <= 1e-5) 

    +

    109 

    +

    110 # checking clustering and html output makes little sense here, 

    +

    111 # but we know how the created plots are laid out: 25 bending up, 25 bending down 

    +

    112 # this should be presented in the betas 

    +

    113 # We will only look at the last timestep 

    +

    114 # We only check the first beta 

    +

    115 

    +

    116 # first 24 betas point one direction (reference run is run 0 and points up) 

    +

    117 betas_up = test_betas[:24, -1] 

    +

    118 # other 25 betas point down 

    +

    119 betas_down = test_betas[24:, -1] 

    +

    120 

    +

    121 # check that first beta has the same sign as others bending up 

    +

    122 is_pos_up = betas_up[0, 0] > 0 

    +

    123 for b in betas_up: 

    +

    124 self.assertEqual(is_pos_up, b[0] > 0) 

    +

    125 

    +

    126 # check that 25th betas has same sign as other bending down 

    +

    127 is_pos_down = betas_down[0, 0] > 0 

    +

    128 for b in betas_down: 

    +

    129 self.assertEqual(is_pos_down, b[0] > 0) 

    +

    130 

    +

    131 # verify that one group has negative and other group positive direction 

    +

    132 self.assertFalse(is_pos_down and is_pos_up) 

    +

    133 

    +

    134 test_run.clustering_results() 

    +

    135 

    +

    136 # check if glob pattern works correctly 

    +

    137 DimredRun( 

    +

    138 simulation_runs=os.path.join(tmpdir, "SVDTestPlot*/plot"), 

    +

    139 start_stage=DIMRED_STAGES[0], 

    +

    140 end_stage=DIMRED_STAGES[0], 

    +

    141 project_dir="test/DimredRunTest", 

    +

    142 console=None, 

    +

    143 ) 

    +

    144 

    +

    145 def test_for_errors(self): 

    +

    146 """Verifies correct error behaviour when facing incorrect parser arguments""" 

    +

    147 

    +

    148 with tempfile.TemporaryDirectory() as tmpdir: 

    +

    149 # collect all simulation runs 

    +

    150 sim_files = os.listdir(tmpdir) 

    +

    151 sim_runs = [] 

    +

    152 for sim in sim_files: 

    +

    153 sim_runs.append(os.path.join(tmpdir, sim, "plot")) 

    +

    154 

    +

    155 # check invalid start_stage 

    +

    156 self.assertRaises( 

    +

    157 DimredRunError, 

    +

    158 DimredRun, 

    +

    159 reference_run="test/dimredTestPlots/SVDTestPlot0/plot", 

    +

    160 simulation_runs=sim_runs, 

    +

    161 start_stage="INVALID_START", 

    +

    162 end_stage=DIMRED_STAGES[-1], 

    +

    163 console=None, 

    +

    164 project_dir="test/DimredRunTest", 

    +

    165 n_processes=5, 

    +

    166 ) 

    +

    167 

    +

    168 # check invalid end_stage 

    +

    169 self.assertRaises( 

    +

    170 DimredRunError, 

    +

    171 DimredRun, 

    +

    172 reference_run="test/dimredTestPlots/SVDTestPlot0/plot", 

    +

    173 simulation_runs=sim_runs, 

    +

    174 start_stage=DIMRED_STAGES[0], 

    +

    175 end_stage="INVALID_END", 

    +

    176 console=None, 

    +

    177 project_dir="test/DimredRunTest", 

    +

    178 n_processes=5, 

    +

    179 ) 

    +

    180 

    +

    181 # check invalid start_stage after end_stage 

    +

    182 self.assertRaises( 

    +

    183 DimredRunError, 

    +

    184 DimredRun, 

    +

    185 reference_run="test/dimredTestPlots/SVDTestPlot0/plot", 

    +

    186 simulation_runs=sim_runs, 

    +

    187 start_stage=DIMRED_STAGES[-1], 

    +

    188 end_stage=DIMRED_STAGES[0], 

    +

    189 console=None, 

    +

    190 project_dir="test/DimredRunTest", 

    +

    191 n_processes=5, 

    +

    192 ) 

    +

    193 

    +

    194 # check invalid simulation runs 

    +

    195 self.assertRaises( 

    +

    196 DimredRunError, 

    +

    197 DimredRun, 

    +

    198 simulation_runs="test/dimredTestPlots200/plot", 

    +

    199 start_stage=DIMRED_STAGES[0], 

    +

    200 end_stage=DIMRED_STAGES[-1], 

    +

    201 console=None, 

    +

    202 project_dir="test/DimredRunTest", 

    +

    203 n_processes=5, 

    +

    204 ) 

    +

    205 

    +

    206 # check invalid cluster_args 

    +

    207 self.assertRaises( 

    +

    208 DimredRunError, 

    +

    209 DimredRun, 

    +

    210 simulation_runs=sim_runs, 

    +

    211 start_stage=DIMRED_STAGES[0], 

    +

    212 end_stage=DIMRED_STAGES[-1], 

    +

    213 console=None, 

    +

    214 project_dir="test/DimredRunTest", 

    +

    215 n_processes=5, 

    +

    216 cluster_args=["noMeans"], 

    +

    217 ) 

    +

    218 

    +

    219 # check invalid outlier-args 

    +

    220 self.assertRaises( 

    +

    221 DimredRunError, 

    +

    222 DimredRun, 

    +

    223 simulation_runs=sim_runs, 

    +

    224 start_stage=DIMRED_STAGES[0], 

    +

    225 end_stage=DIMRED_STAGES[-1], 

    +

    226 console=None, 

    +

    227 project_dir="test/DimredRunTest", 

    +

    228 n_processes=5, 

    +

    229 cluster_args=["kmeans"], 

    +

    230 outlier_args=["DoesNotExist"], 

    +

    231 ) 

    +

    232 

    +

    233 # check inexistent reference run 

    +

    234 self.assertRaises( 

    +

    235 DimredRunError, 

    +

    236 DimredRun, 

    +

    237 reference_run=os.path.join(tmpdir, "IDontExist"), 

    +

    238 simulation_runs=sim_runs, 

    +

    239 start_stage=DIMRED_STAGES[0], 

    +

    240 end_stage=DIMRED_STAGES[-1], 

    +

    241 console=None, 

    +

    242 project_dir="test/DimredRunTest", 

    +

    243 n_processes=5, 

    +

    244 ) 

    +

    245 # check for empty simulation runs 

    +

    246 self.assertRaises( 

    +

    247 DimredRunError, 

    +

    248 DimredRun, 

    +

    249 simulation_runs="", 

    +

    250 start_stage=DIMRED_STAGES[0], 

    +

    251 end_stage=DIMRED_STAGES[-1], 

    +

    252 console=None, 

    +

    253 project_dir="test/DimredRunTest", 

    +

    254 n_processes=5, 

    +

    255 ) 

    +

    256 

    +

    257 def tearDown(self): 

    +

    258 # cleanup of created files 

    +

    259 test_files = os.listdir("test/DimredRunTest") 

    +

    260 test_files.pop(test_files.index("verificationFile.hdf5")) 

    +

    261 for entry in test_files: 

    +

    262 os.remove(os.path.join("test/DimredRunTest", entry)) 

    +
    + + + diff --git a/coverage/d_febbda7c1df641f6_test_plot_creator_py.html b/coverage/d_febbda7c1df641f6_test_plot_creator_py.html new file mode 100644 index 0000000..16860de --- /dev/null +++ b/coverage/d_febbda7c1df641f6_test_plot_creator_py.html @@ -0,0 +1,304 @@ + + + + + Coverage for lasso/dimred/test_plot_creator.py: 94% + + + + + +
    +
    +

    + Coverage for lasso/dimred/test_plot_creator.py: + 94% +

    + +

    + 52 statements   + + + +

    +

    + « prev     + ^ index     + » next +       + coverage.py v7.0.0, + created at 2022-12-23 14:07 +0100 +

    + +
    +
    +
    +

    1import math 

    +

    2import os 

    +

    3import random 

    +

    4 

    +

    5import numpy as np 

    +

    6import plotly.graph_objects as go 

    +

    7 

    +

    8from lasso.dyna.d3plot import ArrayType, D3plot 

    +

    9 

    +

    10 

    +

    11def create_fake_d3plots( 

    +

    12 path: str, 

    +

    13 element_shell_node_indexes: np.ndarray, 

    +

    14 bend_multiplicator: float, 

    +

    15 n_nodes_x: int = 500, 

    +

    16 n_nodes_y: int = 10, 

    +

    17 n_timesteps: int = 5, 

    +

    18): 

    +

    19 """ 

    +

    20 Creates a number of artificial D3plots to be used in testing 

    +

    21 """ 

    +

    22 

    +

    23 # if bend_multiplicator > 0: 

    +

    24 # bend_loc_x = int(n_nodes_x/10) 

    +

    25 # bend_start = bend_loc_x - int(bend_loc_x/2) 

    +

    26 # bend_end = bend_loc_x + int(bend_loc_x/2) 

    +

    27 # else: 

    +

    28 # bend_loc_x = n_nodes_x - int(n_nodes_x/10) 

    +

    29 # bend_start = bend_loc_x - int(n_nodes_x/20) 

    +

    30 # bend_end = bend_loc_x + int(n_nodes_x/20) 

    +

    31 

    +

    32 x_coords = np.arange(n_nodes_x) 

    +

    33 y_coords = np.arange(n_nodes_y) 

    +

    34 # z_bend_mat = np.stack( 

    +

    35 # [np.array([1+math.sin(x*2*math.pi/(bend_end - bend_start)) 

    +

    36 # for x in range(bend_end - bend_start)] 

    +

    37 # ) 

    +

    38 # for _ in range(n_nodes_y)]).reshape(((bend_end - bend_start)*n_nodes_y)) 

    +

    39 

    +

    40 z_bend_mat = np.stack( 

    +

    41 [ 

    +

    42 np.array([1 + math.sin(x * math.pi / n_nodes_x) for x in range(n_nodes_x)]) 

    +

    43 for _ in range(n_nodes_y) 

    +

    44 ] 

    +

    45 ).reshape((n_nodes_x * n_nodes_y,)) 

    +

    46 node_coordinates = np.zeros((n_nodes_x * n_nodes_y, 3)) 

    +

    47 

    +

    48 # fill in y coords 

    +

    49 for n in range(n_nodes_y): 

    +

    50 node_coordinates[n * n_nodes_x : n_nodes_x + n * n_nodes_x, 1] = y_coords[n] 

    +

    51 node_coordinates[n * n_nodes_x : n_nodes_x + n * n_nodes_x, 0] = x_coords 

    +

    52 # fill in x coords 

    +

    53 # for n in range(n_nodes_x): 

    +

    54 # node_coordinates[n*n_nodes_y:n_nodes_y+n*n_nodes_y, 0] = x_coords[n] 

    +

    55 

    +

    56 node_displacement = np.zeros((n_timesteps, n_nodes_x * n_nodes_y, 3)) 

    +

    57 

    +

    58 for t in range(n_timesteps): 

    +

    59 node_displacement[t] = node_coordinates 

    +

    60 # node_displacement[t, bend_start*n_nodes_y:bend_end*n_nodes_y, 2] = \ 

    +

    61 # z_bend_mat * bend_multiplicator * t 

    +

    62 node_displacement[t, :, 2] = z_bend_mat * bend_multiplicator * t 

    +

    63 

    +

    64 # print(node_displacement.shape) 

    +

    65 

    +

    66 plot = D3plot() 

    +

    67 plot.arrays[ArrayType.node_displacement] = node_displacement 

    +

    68 plot.arrays[ArrayType.node_coordinates] = node_coordinates 

    +

    69 plot.arrays[ArrayType.element_shell_node_indexes] = element_shell_node_indexes 

    +

    70 plot.arrays[ArrayType.element_shell_part_indexes] = np.full( 

    +

    71 (element_shell_node_indexes.shape[0]), 0 

    +

    72 ) 

    +

    73 

    +

    74 # we could create an artificial array element_shell_is_alive to test the 

    +

    75 # correct part extraction process not neccessary currently 

    +

    76 

    +

    77 os.makedirs(path, exist_ok=True) 

    +

    78 plot.write_d3plot(os.path.join(path, "plot")) 

    +

    79 # plotUtilFunc(node_displacement) 

    +

    80 

    +

    81 

    +

    82def plot_util_func(xyz_array: np.array): 

    +

    83 trace = go.Scatter3d( 

    +

    84 x=xyz_array[-1, :, 0], 

    +

    85 y=xyz_array[-1, :, 1], 

    +

    86 z=xyz_array[-1, :, 2], 

    +

    87 mode="markers", 

    +

    88 text=np.arange(xyz_array.shape[1]), 

    +

    89 ) 

    +

    90 fig = go.Figure([trace]) 

    +

    91 fig.show() 

    +

    92 

    +

    93 

    +

    94def create_element_shell_node_indexes(n_nodes_x: int = 500, n_nodes_y: int = 10) -> np.ndarray: 

    +

    95 """ 

    +

    96 returns a element_shell_node_indexes array 

    +

    97 """ 

    +

    98 

    +

    99 new_shell_node_indexes = np.full( 

    +

    100 ((n_nodes_x - 1) * (n_nodes_y - 1), 4), np.array([0, 1, n_nodes_x + 1, n_nodes_x]) 

    +

    101 ) 

    +

    102 mod = np.full((4, n_nodes_x - 1), np.arange(n_nodes_x - 1)) 

    +

    103 for i in range(n_nodes_y - 1): 

    +

    104 new_shell_node_indexes[(n_nodes_x - 1) * i : (n_nodes_x - 1) + ((n_nodes_x - 1) * i)] += ( 

    +

    105 mod + i * n_nodes_x 

    +

    106 ).T 

    +

    107 

    +

    108 return new_shell_node_indexes 

    +

    109 

    +

    110 

    +

    111def create_2_fake_plots(folder: str, n_nodes_x: int, n_nodes_y: int, n_timesteps=5): 

    +

    112 """ 

    +

    113 creates 2 faked plots 

    +

    114 

    +

    115 Parameters 

    +

    116 ---------- 

    +

    117 folder: str 

    +

    118 folder path 

    +

    119 n_nodes_x: int 

    +

    120 how many nodes in x 

    +

    121 n_nodes_y: int 

    +

    122 how many nodes in y 

    +

    123 n_timesteps: int, default: 5 

    +

    124 how many timesteps 

    +

    125 """ 

    +

    126 

    +

    127 randy_random = random.Random("The_Seed") 

    +

    128 plot_name = "SVDTestPlot{i}" 

    +

    129 

    +

    130 element_shell_node_indexes = create_element_shell_node_indexes( 

    +

    131 n_nodes_x=n_nodes_x, n_nodes_y=n_nodes_y 

    +

    132 ) 

    +

    133 

    +

    134 create_fake_d3plots( 

    +

    135 path=os.path.join(folder, plot_name.format(i="00")), 

    +

    136 element_shell_node_indexes=element_shell_node_indexes, 

    +

    137 bend_multiplicator=5 * (1 + randy_random.random()), 

    +

    138 n_nodes_x=n_nodes_x, 

    +

    139 n_nodes_y=n_nodes_y, 

    +

    140 n_timesteps=n_timesteps, 

    +

    141 ) 

    +

    142 

    +

    143 create_fake_d3plots( 

    +

    144 path=os.path.join(folder, plot_name.format(i="01")), 

    +

    145 element_shell_node_indexes=element_shell_node_indexes, 

    +

    146 bend_multiplicator=5 * (1 + randy_random.random()), 

    +

    147 n_nodes_x=n_nodes_x, 

    +

    148 n_nodes_y=n_nodes_y, 

    +

    149 n_timesteps=n_timesteps, 

    +

    150 ) 

    +

    151 

    +

    152 

    +

    153def create_50_fake_plots(folder: str, n_nodes_x: int, n_nodes_y: int, n_timesteps=5): 

    +

    154 """ 

    +

    155 creates 50 faked plots, 25 bending up, 25 bending down 

    +

    156 

    +

    157 Parameters 

    +

    158 ---------- 

    +

    159 folder: str 

    +

    160 folder path 

    +

    161 n_nodes_x: int 

    +

    162 how many nodes in x 

    +

    163 n_nodes_y: int 

    +

    164 how many nodes in y 

    +

    165 n_timesteps: int, default: 5 

    +

    166 how many timesteps 

    +

    167 """ 

    +

    168 

    +

    169 # init random 

    +

    170 randy_random = random.Random("The_Seed") 

    +

    171 

    +

    172 plot_name = "SVDTestPlot{i}" 

    +

    173 

    +

    174 # doesn't change for each plot with same dimensions, so only created once 

    +

    175 element_shell_node_indexes = create_element_shell_node_indexes( 

    +

    176 n_nodes_x=n_nodes_x, n_nodes_y=n_nodes_y 

    +

    177 ) 

    +

    178 

    +

    179 # 25 plots bending up 

    +

    180 for i in range(25): 

    +

    181 nr = str(i) 

    +

    182 if i < 10: 

    +

    183 nr = "0" + str(i) 

    +

    184 create_fake_d3plots( 

    +

    185 path=os.path.join(folder, plot_name.format(i=nr)), 

    +

    186 element_shell_node_indexes=element_shell_node_indexes, 

    +

    187 bend_multiplicator=5 * (1 + randy_random.random()), 

    +

    188 n_nodes_x=n_nodes_x, 

    +

    189 n_nodes_y=n_nodes_y, 

    +

    190 n_timesteps=n_timesteps, 

    +

    191 ) 

    +

    192 

    +

    193 # 25 plots bending down 

    +

    194 for i in range(25): 

    +

    195 create_fake_d3plots( 

    +

    196 path=os.path.join(folder, plot_name.format(i=i + 25)), 

    +

    197 element_shell_node_indexes=element_shell_node_indexes, 

    +

    198 bend_multiplicator=-5 * (1 + randy_random.random()), 

    +

    199 n_nodes_x=n_nodes_x, 

    +

    200 n_nodes_y=n_nodes_y, 

    +

    201 n_timesteps=n_timesteps, 

    +

    202 ) 

    +

    203 

    +

    204 

    +

    205# TODO: Remove after fixing D3plot writing two files issue 

    +

    206# if __name__ == "__main__": 

    +

    207# create_2_fake_plots("../delteThisPlease/", 200, 10) 

    +
    + + + diff --git a/coverage/favicon_32.png b/coverage/favicon_32.png new file mode 100644 index 0000000000000000000000000000000000000000..8649f0475d8d20793b2ec431fe25a186a414cf10 GIT binary patch literal 1732 zcmV;#20QtQP)K2KOkBOVxIZChq#W-v7@TU%U6P(wycKT1hUJUToW3ke1U1ONa4 z000000000000000bb)GRa9mqwR9|UWHy;^RUrt?IT__Y0JUcxmBP0(51q1>E00030 z|NrOz)aw7%8sJzM<5^g%z7^qE`}_Ot|JUUG(NUkWzR|7K?Zo%@_v-8G-1N%N=D$;; zw;keH4dGY$`1t4M=HK_s*zm^0#KgqfwWhe3qO_HtvXYvtjgX>;-~C$L`&k>^R)9)7 zdPh2TL^pCnHC#0+_4D)M`p?qp!pq{jO_{8;$fbaflbx`Tn52n|n}8VFRTA1&ugOP< zPd{uvFjz7t*Vot1&d$l-xWCk}s;sQL&#O(Bskh6gqNJv>#iB=ypG1e3K!K4yc7!~M zfj4S*g^zZ7eP$+_Sl07Z646l;%urinP#D8a6TwRtnLIRcI!r4f@bK~9-`~;E(N?Lv zSEst7s;rcxsi~}{Nsytfz@MtUoR*iFc8!#vvx}Umhm4blk(_~MdVD-@dW&>!Nn~ro z_E~-ESVQAj6Wmn;(olz(O&_{U2*pZBc1aYjMh>Dq3z|6`jW`RDHV=t3I6yRKJ~LOX zz_z!!vbVXPqob#=pj3^VMT?x6t(irRmSKsMo1~LLkB&=#j!=M%NP35mfqim$drWb9 zYIb>no_LUwc!r^NkDzs4YHu@=ZHRzrafWDZd1EhEVq=tGX?tK$pIa)DTh#bkvh!J- z?^%@YS!U*0E8$q$_*aOTQ&)Ra64g>ep;BdcQgvlg8qQHrP*E$;P{-m=A*@axn@$bO zO-Y4JzS&EAi%YG}N?cn?YFS7ivPY=EMV6~YH;+Xxu|tefLS|Aza)Cg6us#)=JW!uH zQa?H>d^j+YHCtyjL^LulF*05|F$RG!AX_OHVI&MtA~_@=5_lU|0000rbW%=J06GH4 z^5LD8b8apw8vNh1ua1mF{{Hy)_U`NA;Nacc+sCpuHXa-V{r&yz?c(9#+}oX+NmiRW z+W-IqK1oDDR5;6GfCDCOP5}iL5fK(cB~ET81`MFgF2kGa9AjhSIk~-E-4&*tPPKdiilQJ11k_J082ZS z>@TvivP!5ZFG?t@{t+GpR3XR&@*hA_VE1|Lo8@L@)l*h(Z@=?c-NS$Fk&&61IzUU9 z*nPqBM=OBZ-6ka1SJgGAS-Us5EN)r#dUX%>wQZLa2ytPCtMKp)Ob z*xcu38Z&d5<-NBS)@jRD+*!W*cf-m_wmxDEqBf?czI%3U0J$Xik;lA`jg}VH?(S(V zE!M3;X2B8w0TnnW&6(8;_Uc)WD;Ms6PKP+s(sFgO!}B!^ES~GDt4qLPxwYB)^7)XA zZwo9zDy-B0B+jT6V=!=bo(zs_8{eBA78gT9GH$(DVhz;4VAYwz+bOIdZ-PNb|I&rl z^XG=vFLF)1{&nT2*0vMz#}7^9hXzzf&ZdKlEj{LihP;|;Ywqn35ajP?H?7t|i-Un% z&&kxee@9B{nwgv1+S-~0)E1{ob1^Wn`F2isurqThKK=3%&;`@{0{!D- z&CSj80t;uPu&FaJFtSXKH#ajgGj}=sEad7US6jP0|Db@0j)?(5@sf<7`~a9>s;wCa zm^)spe{uxGFmrJYI9cOh7s$>8Npkt-5EWB1UKc`{W{y5Ce$1+nM9Cr;);=Ju#N^62OSlJMn7omiUgP&ErsYzT~iGxcW aE(`!K@+CXylaC4j0000Coverage - LASSO-Python + Code Coverage Report - LASSO-Python @@ -96,7 +96,7 @@
    - Coverage + Code Coverage Report
    @@ -826,6 +826,44 @@ + + + + + + + + + +
  • + + + + + + + Code Coverage Report + + +
    • + + + + + + + + + + +
  • + + Changelog + +
    • + + +
    @@ -862,7 +900,7 @@ -

    Coverage

    +

    Code Coverage Report

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
    + + + + +
    + + +
    + +
    + + + + + + +
    +
    + + + +
    +
    +
    + + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    + + + + + + + + + +

    Open LASSO Python Contribution Guide

    +

    Roles

    +

    There are roughly two roles in which you can contribute:

    +
      +
    • Contributors who just want to add changes from time to time
      • +
    • Maintainers who oversee the repo, code themselves and review contribution + before they can be merged
      • +
    +

    Community

    +

    The community can be found on discord. +Nothing beats a good discussion about existing features, new features or ideas +so jump right in.

    +

    Spirit

    +

    We are all learners, some in the early stage some in the later. +In a code review, we take the patience to imaginarily sit down together and +explain other people why something is recommended differently or how things are +usually done in software or python. +This often seems tedious at first but growing together is important for any kind +of project which wants to grow itself. +So no fear in case of lack of experience but bring your learning spirit. +Samewise to any experienced developer, have patience and explain things. +Take the opportunity to sit down together on discord.

    +

    How to make a Contribution

    +

    Tl;dr;

    +
      +
    1. Fork the open lasso python repository
      2. +
    2. Clone the repo to your filesystem
      3. +
    3. Install task
      4. +
    4. Check out the develop branch
      5. +
    5. Set up the repo for development through task setup
      6. +
    6. Create a new branch from develop with the naming pattern feature/...
      7. +
    7. Make changes, commit and push them
      8. +
    8. Create a Pull Request in your for repo with target on the original repo
      9. +
    9. Add as reviewer open-lasso-python/developers
      10. +
    10. Wait for review patiently but you may nudge us a bit 🫶
      11. +
    11. Perform a Squash Merge and give a reasonable commit message as + <branch type>: <description> where branch_type is one of the categories + below.
      12. +
    +

    You can fork the repo (1) by clicking on for in the top-right of the original +repo. +Cloning the repo (2) is traditionally done with git then of course. +Task is required (3) since it is used to store complex commands such as testing, +linting, build docs, etc. +(4) All development activities originate from the develop branch in which all +Pull Requests are finally merged again. +To create a branch choose a respective naming pattern following the angular +scheme: <branch type>/<issue nr if exists>-<rough description/name>. +Typical branch types are:

    +
      +
    • feature for new features or if you got no clue what it is
      • +
    • bugfix for 🐛-fixes
      • +
    • ci for changes on the Continuous Integration pipeline
      • +
    • docs for documentation related works
      • +
    • refactor if the PR just does cleanup 🧹 and improves the code
      • +
    • test for solely test-related work
      • +
    +

    Don't take these too seriously but they ought to provide rough categories. +They are also used in the commit message when you squash merge a PR where it +is important! +Install all dependencies otherwise obviously you can't code (5). +After making changes and pushing your branch to your forked repo (7 & 8), open a +Pull Request but make the target not develop in your fork but develop in the +original repo (7). +If not done automatically, add the maintainer group as reviewers (9). +Enjoy a healthy code review but be a bit patient with time as people contribute +voluntarily and may privately be occupied (10). +After approval, perform a Squash Merge (11). +A Squash Merge tosses away all the little, dirty commits we all do during +development. +What stays is the final merge commit message and please pay attention here +to format it right. +Why is this important? +This is needed to automatically generate a reasonable changelog during releases. +Thanks for contributing at this point. +Go wild and have fun 🥳

    + + + + + + +
    +
    + + +
    + +
    + + + +
    +
    +
    +
    + + + + + + + + + + \ No newline at end of file diff --git a/coverage/covindex.html b/coverage/covindex.html index c76eff2..8fdb78f 100644 --- a/coverage/covindex.html +++ b/coverage/covindex.html @@ -45,7 +45,7 @@

    Coverage report:

    coverage.py v7.0.0, - created at 2022-12-23 17:06 +0100 + created at 2022-12-23 19:22 +0100

  • - + VariableInfo

    • @@ -486,7 +486,7 @@

    Coverage report:

    coverage.py v7.0.0, - created at 2022-12-23 17:06 +0100 + created at 2022-12-23 19:22 +0100

    @@ -259,10 +259,10 @@

    Coverage report: lasso/dyna/d3plot.py - 3903 - 1941 + 3905 + 1940 0 - 50% + 50% lasso/dyna/d3plot_header.py @@ -471,10 +471,10 @@

    Coverage report: Total - 8824 - 4410 + 8830 + 4413 0 - 50% + 50% @@ -486,7 +486,7 @@

    Coverage report:

    coverage.py v7.0.0, - created at 2022-12-23 19:22 +0100 + created at 2023-01-12 19:40 +0100

    - 3903 statements   - - + 3905 statements   + +

    @@ -65,7 +65,7 @@

    » next       coverage.py v7.0.0, - created at 2022-12-23 14:07 +0100 + created at 2023-01-12 19:25 +0100

    @@ -77,10 +77,10 @@

    Coverage report: lasso/diffcrash/diffcrash_run.py - 585 - 585 + 587 + 587 0 - 0% + 0% lasso/diffcrash/run.py @@ -259,10 +259,10 @@

    Coverage report: lasso/dyna/d3plot.py - 3905 - 1940 + 3907 + 1941 0 - 50% + 50% lasso/dyna/d3plot_header.py @@ -287,10 +287,10 @@

    Coverage report: lasso/dyna/lsda_py3.py - 422 - 361 + 424 + 363 0 - 14% + 14% lasso/dyna/test_d3plot.py @@ -471,10 +471,10 @@

    Coverage report: Total - 8830 - 4413 + 8832 + 4414 0 - 50% + 50% @@ -485,8 +485,8 @@

    Coverage report:

    - coverage.py v7.0.0, - created at 2023-01-12 19:40 +0100 + coverage.py v7.2.4, + created at 2023-04-28 19:49 +0100

    diff --git a/coverage/d_233c5ceebba6ed8d_array_type_py.html b/coverage/d_233c5ceebba6ed8d_array_type_py.html index d4e4543..5a1fa1c 100644 --- a/coverage/d_233c5ceebba6ed8d_array_type_py.html +++ b/coverage/d_233c5ceebba6ed8d_array_type_py.html @@ -64,8 +64,8 @@

    ^ index     » next       - coverage.py v7.0.0, - created at 2022-12-23 14:07 +0100 + coverage.py v7.2.4, + created at 2023-04-28 18:42 +0100

    - 3905 statements   - - + 3907 statements   + +

    @@ -64,8 +64,8 @@

    ^ index     » next       - coverage.py v7.0.0, - created at 2023-01-12 19:25 +0100 + coverage.py v7.2.4, + created at 2023-04-28 19:49 +0100

    diff --git a/coverage/d_233c5ceebba6ed8d_femzip_mapper_py.html b/coverage/d_233c5ceebba6ed8d_femzip_mapper_py.html index 8d771d7..b518911 100644 --- a/coverage/d_233c5ceebba6ed8d_femzip_mapper_py.html +++ b/coverage/d_233c5ceebba6ed8d_femzip_mapper_py.html @@ -64,8 +64,8 @@

    ^ index     » next       - coverage.py v7.0.0, - created at 2023-01-12 19:25 +0100 + coverage.py v7.2.4, + created at 2023-04-28 19:49 +0100

    - 422 statements   + 424 statements   - +

    @@ -64,8 +64,8 @@

    ^ index     » next       - coverage.py v7.0.0, - created at 2022-12-23 14:07 +0100 + coverage.py v7.2.4, + created at 2023-04-28 18:42 +0100

    - 585 statements   + 587 statements   - +

    @@ -64,8 +64,8 @@

    ^ index     » next       - coverage.py v7.0.0, - created at 2022-12-23 14:07 +0100 + coverage.py v7.2.4, + created at 2023-04-28 18:42 +0100

    diff --git a/coverage/d_f6cb54d84c129274_fz_config_py.html b/coverage/d_f6cb54d84c129274_fz_config_py.html index e29389c..b2a0787 100644 --- a/coverage/d_f6cb54d84c129274_fz_config_py.html +++ b/coverage/d_f6cb54d84c129274_fz_config_py.html @@ -64,8 +64,8 @@

    ^ index     » next       - coverage.py v7.0.0, - created at 2022-12-23 14:07 +0100 + coverage.py v7.2.4, + created at 2023-04-28 18:42 +0100