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43 lines (29 loc) · 1.07 KB

Variables

X

The X dataset composed of both X_test.txt and X_train.txt data

Y

The Y dataset composed of both Y_test.txt and Y_train.txt data

features

A vector af all features in features.txt

extractIndexes

All indexes of the features vector with entries contining either "mean" or "std"

extractMeasurementsX

A reformatted version of X with only entries from the indexes in extractIndexes

sortedY

Y with an added column, order, of integers representing the order of the vector

activities

A vector of activity names from activity_labels.txt

namedActivities

A modified vector of Y with both the activity number and name

variableNames

A vector af all features in features.txt

extractedNames

Variable names at the indexes specified by extractIndexes

names

All names for the final dataset including "Activity"

finalDataSet

Final dataset with all names and activity labels

meltedDataset

The melted finalDataset with all columns and the Activity column as ID

tidyDataSet

The tidy dataset with means of all columns by Activity type

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
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(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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43 lines (29 loc) · 1.07 KB

Variables

X

The X dataset composed of both X_test.txt and X_train.txt data

Y

The Y dataset composed of both Y_test.txt and Y_train.txt data

features

A vector af all features in features.txt

extractIndexes

All indexes of the features vector with entries contining either "mean" or "std"

extractMeasurementsX

A reformatted version of X with only entries from the indexes in extractIndexes

sortedY

Y with an added column, order, of integers representing the order of the vector

activities

A vector of activity names from activity_labels.txt

namedActivities

A modified vector of Y with both the activity number and name

variableNames

A vector af all features in features.txt

extractedNames

Variable names at the indexes specified by extractIndexes

names

All names for the final dataset including "Activity"

finalDataSet

Final dataset with all names and activity labels

meltedDataset

The melted finalDataset with all columns and the Activity column as ID

tidyDataSet

The tidy dataset with means of all columns by Activity type

, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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43 lines (29 loc) · 1.07 KB

File metadata and controls

43 lines (29 loc) · 1.07 KB

Variables

X

The X dataset composed of both X_test.txt and X_train.txt data

Y

The Y dataset composed of both Y_test.txt and Y_train.txt data

features

A vector af all features in features.txt

extractIndexes

All indexes of the features vector with entries contining either "mean" or "std"

extractMeasurementsX

A reformatted version of X with only entries from the indexes in extractIndexes

sortedY

Y with an added column, order, of integers representing the order of the vector

activities

A vector of activity names from activity_labels.txt

namedActivities

A modified vector of Y with both the activity number and name

variableNames

A vector af all features in features.txt

extractedNames

Variable names at the indexes specified by extractIndexes

names

All names for the final dataset including "Activity"

finalDataSet

Final dataset with all names and activity labels

meltedDataset

The melted finalDataset with all columns and the Activity column as ID

tidyDataSet

The tidy dataset with means of all columns by Activity type

, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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43 lines (29 loc) · 1.07 KB

Variables

X

The X dataset composed of both X_test.txt and X_train.txt data

Y

The Y dataset composed of both Y_test.txt and Y_train.txt data

features

A vector af all features in features.txt

extractIndexes

All indexes of the features vector with entries contining either "mean" or "std"

extractMeasurementsX

A reformatted version of X with only entries from the indexes in extractIndexes

sortedY

Y with an added column, order, of integers representing the order of the vector

activities

A vector of activity names from activity_labels.txt

namedActivities

A modified vector of Y with both the activity number and name

variableNames

A vector af all features in features.txt

extractedNames

Variable names at the indexes specified by extractIndexes

names

All names for the final dataset including "Activity"

finalDataSet

Final dataset with all names and activity labels

meltedDataset

The melted finalDataset with all columns and the Activity column as ID

tidyDataSet

The tidy dataset with means of all columns by Activity type

, 'i'); if (__m === '*' || __re.test(location.href)) { // 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; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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43 lines (29 loc) · 1.07 KB

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43 lines (29 loc) · 1.07 KB

Variables

X

The X dataset composed of both X_test.txt and X_train.txt data

Y

The Y dataset composed of both Y_test.txt and Y_train.txt data

features

A vector af all features in features.txt

extractIndexes

All indexes of the features vector with entries contining either "mean" or "std"

extractMeasurementsX

A reformatted version of X with only entries from the indexes in extractIndexes

sortedY

Y with an added column, order, of integers representing the order of the vector

activities

A vector of activity names from activity_labels.txt

namedActivities

A modified vector of Y with both the activity number and name

variableNames

A vector af all features in features.txt

extractedNames

Variable names at the indexes specified by extractIndexes

names

All names for the final dataset including "Activity"

finalDataSet

Final dataset with all names and activity labels

meltedDataset

The melted finalDataset with all columns and the Activity column as ID

tidyDataSet

The tidy dataset with means of all columns by Activity type

, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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43 lines (29 loc) · 1.07 KB

File metadata and controls

43 lines (29 loc) · 1.07 KB

Variables

X

The X dataset composed of both X_test.txt and X_train.txt data

Y

The Y dataset composed of both Y_test.txt and Y_train.txt data

features

A vector af all features in features.txt

extractIndexes

All indexes of the features vector with entries contining either "mean" or "std"

extractMeasurementsX

A reformatted version of X with only entries from the indexes in extractIndexes

sortedY

Y with an added column, order, of integers representing the order of the vector

activities

A vector of activity names from activity_labels.txt

namedActivities

A modified vector of Y with both the activity number and name

variableNames

A vector af all features in features.txt

extractedNames

Variable names at the indexes specified by extractIndexes

names

All names for the final dataset including "Activity"

finalDataSet

Final dataset with all names and activity labels

meltedDataset

The melted finalDataset with all columns and the Activity column as ID

tidyDataSet

The tidy dataset with means of all columns by Activity type

, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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43 lines (29 loc) · 1.07 KB

File metadata and controls

43 lines (29 loc) · 1.07 KB

Variables

X

The X dataset composed of both X_test.txt and X_train.txt data

Y

The Y dataset composed of both Y_test.txt and Y_train.txt data

features

A vector af all features in features.txt

extractIndexes

All indexes of the features vector with entries contining either "mean" or "std"

extractMeasurementsX

A reformatted version of X with only entries from the indexes in extractIndexes

sortedY

Y with an added column, order, of integers representing the order of the vector

activities

A vector of activity names from activity_labels.txt

namedActivities

A modified vector of Y with both the activity number and name

variableNames

A vector af all features in features.txt

extractedNames

Variable names at the indexes specified by extractIndexes

names

All names for the final dataset including "Activity"

finalDataSet

Final dataset with all names and activity labels

meltedDataset

The melted finalDataset with all columns and the Activity column as ID

tidyDataSet

The tidy dataset with means of all columns by Activity type

, 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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43 lines (29 loc) · 1.07 KB

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43 lines (29 loc) · 1.07 KB

Variables

X

The X dataset composed of both X_test.txt and X_train.txt data

Y

The Y dataset composed of both Y_test.txt and Y_train.txt data

features

A vector af all features in features.txt

extractIndexes

All indexes of the features vector with entries contining either "mean" or "std"

extractMeasurementsX

A reformatted version of X with only entries from the indexes in extractIndexes

sortedY

Y with an added column, order, of integers representing the order of the vector

activities

A vector of activity names from activity_labels.txt

namedActivities

A modified vector of Y with both the activity number and name

variableNames

A vector af all features in features.txt

extractedNames

Variable names at the indexes specified by extractIndexes

names

All names for the final dataset including "Activity"

finalDataSet

Final dataset with all names and activity labels

meltedDataset

The melted finalDataset with all columns and the Activity column as ID

tidyDataSet

The tidy dataset with means of all columns by Activity type