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found = true;
var frag = document.createDocumentFragment();
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if (i % 2 === 0) {
frag.appendChild(document.createTextNode(part));
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span.className = 'userscript-highlight';
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Array.from(node.childNodes).forEach(highlight);
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m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
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observer.observe(document.body, { childList: true, subtree: true });
})();
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} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
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try {
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var __re = new RegExp('^' + ".*" + ', 'i');
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// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
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u.searchParams.delete(p);
changed = true;
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function cleanLinks() {
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var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
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observer.observe(document.body, { childList: true, subtree: true });
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function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
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btn.click();
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tryTheater();
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setTimeout(tryTheater, 500);
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observer.observe(document.body, { childList: true, subtree: true });
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var __re = new RegExp('^' + ".*" + ', 'i');
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})();
})();
GitHub - lljbash/xerus: A general purpose library for numerical calculations with higher order tensors, Tensor-Train Decompositions / Matrix Product States and other Tensor Networks · GitHub
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The xerus library is a general purpose library for numerical calculations with higher order tensors, Tensor-Train Decompositions / Matrix Product States and other Tensor Networks.
The focus of development was the simple usability and adaptibility to any setting that requires higher order tensors or decompositions thereof.
The source code is licenced under the AGPL v3.0. For more details see the LICENSE file.
Features
Intuitive notation for expressions involving tensors of arbitrary degree: A(i,j) = B(i,k,l) * C(k,j,l);
Lazy evaluation of tensor expressions with automatically optimized contraction orders.
Full implementation of all common functionality of the Tensor Train (or Matrix Product State) decompositions with either dense or sparse component tensors.
Implementations of common algorithms like the ALS, (multi-site-)DMRG, ASD, AFD, CG, and some less common ones e.g. to find the maximal entries in a Tensor Train.
Building the Xerus library
Copy the default configuration and modify it for your needs
Should you have any problems with the library do not hesitate to contact us at contact[at]libxerus.org or describe your problem in the issuetracker.
About
A general purpose library for numerical calculations with higher order tensors, Tensor-Train Decompositions / Matrix Product States and other Tensor Networks