Reproducible random does not work in trip scheduling choice #891

Description

@jpn--

Describe the bug
The reproducible random code is supposed to ensure that, when run with a fixed seed, household-relevant results (persons, trips, tours) for any particular household remain stable no matter how many other households are in the sample. This is not the case for the trip scheduling choice model (currently used only by ARC).

Note this bug does not impact the statistical distribution or validity of results, it merely makes model testing problematic.

To Reproduce
Steps to reproduce the behavior:

  1. Run the ARC model single process for some moderate sized household sample.
  2. Run the ARC model multi-process, with num_processes > 1 for the same household sample. Some households will be processes in different groups, which should not change the results.
  3. Observe that a small percentage of household trip schedules differ, typically by a small amount.
- Column 'main_leg_duration' failure
AssertionError: Series are different
Series values are different (22.66227 %)
[index]: [18413, 18448, 18473, 18489, 30371, 66957, 66992, 66998, 67033, 67066, 67104, 67148, 88747, 88763, 127869, 127871, 271675, 271676, 271683, 271746, 271779, 271820, 391140, 391142, 391179, 391214, 391226, 391261, 410255, 410256, 410359, 410378, 410443, 533935, 533941, 541799, 541846, 543947, 543986, 544019, 578877, 633385, 633407, 633437, 633442, 633489, 633522, 633530, 656794, 656812, 656853, 656854, 656867, 656892, 721604, 721609, 721639, 721669, 721713, 721754, 721795, 779015, 779028, 779066, 788961, 811612, 811620, 811631, 811664, 977162, 977230, 977233, 977260, 1031632, 1031673, 1178586, 1178601, 1178625, 1178636, 1178637, 1178660, 1178677, 1178740, 1224715, 1224750, 1224791, 1224792, 1224824, 1234344, 1234377, 1234418, 1254855, 1254856, 1254857, 1254912, 1254926, 1254956, 1254959, 1255000, 1274401, ...]
[left]: [0, 20, 4, 21, 19, 3, 16, 1, 21, 23, 6, 11, 1, 24, 13, 2, 0, 1, 0, 19, 17, 23, 2, 2, 15, 2, 2, 18, 2, 2, 17, 31, 4, 1, 3, 4, 14, 5, 16, 26, 21, 0, 21, 1, 3, 17, 5, 22, 6, 3, 3, 2, 4, 21, 1, 0, 9, 2, 17, 24, 16, 8, 4, 4, 22, 4, 1, 7, 0, 0, 6, 18, 5, 15, 8, 9, 5, 10, 2, 4, 2, 0, 19, 3, 21, 20, 14, 16, 16, 16, 16, 4, 1, 1, 4, 24, 2, 15, 23, 15, ...]
[right]: [0, 20, 4, 19, 19, 3, 16, 1, 21, 23, 6, 11, 1, 24, 15, 2, 0, 1, 0, 20, 17, 23, 2, 2, 15, 2, 2, 18, 2, 3, 17, 31, 4, 1, 3, 4, 14, 5, 11, 26, 21, 0, 21, 1, 5, 14, 5, 22, 6, 3, 3, 1, 4, 18, 1, 0, 8, 2, 17, 24, 16, 8, 4, 4, 21, 4, 2, 7, 1, 0, 6, 20, 5, 15, 8, 9, 5, 13, 2, 4, 2, 0, 19, 3, 21, 20, 13, 16, 16, 16, 16, 4, 1, 1, 4, 24, 2, 15, 23, 15, ...]

Expected behavior
Multiprocessing should not alter the results.

Activity

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n 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;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} 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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Reproducible random does not work in trip scheduling choice #891

Description

@jpn--

Describe the bug
The reproducible random code is supposed to ensure that, when run with a fixed seed, household-relevant results (persons, trips, tours) for any particular household remain stable no matter how many other households are in the sample. This is not the case for the trip scheduling choice model (currently used only by ARC).

Note this bug does not impact the statistical distribution or validity of results, it merely makes model testing problematic.

To Reproduce
Steps to reproduce the behavior:

  1. Run the ARC model single process for some moderate sized household sample.
  2. Run the ARC model multi-process, with num_processes > 1 for the same household sample. Some households will be processes in different groups, which should not change the results.
  3. Observe that a small percentage of household trip schedules differ, typically by a small amount.
- Column 'main_leg_duration' failure
AssertionError: Series are different
Series values are different (22.66227 %)
[index]: [18413, 18448, 18473, 18489, 30371, 66957, 66992, 66998, 67033, 67066, 67104, 67148, 88747, 88763, 127869, 127871, 271675, 271676, 271683, 271746, 271779, 271820, 391140, 391142, 391179, 391214, 391226, 391261, 410255, 410256, 410359, 410378, 410443, 533935, 533941, 541799, 541846, 543947, 543986, 544019, 578877, 633385, 633407, 633437, 633442, 633489, 633522, 633530, 656794, 656812, 656853, 656854, 656867, 656892, 721604, 721609, 721639, 721669, 721713, 721754, 721795, 779015, 779028, 779066, 788961, 811612, 811620, 811631, 811664, 977162, 977230, 977233, 977260, 1031632, 1031673, 1178586, 1178601, 1178625, 1178636, 1178637, 1178660, 1178677, 1178740, 1224715, 1224750, 1224791, 1224792, 1224824, 1234344, 1234377, 1234418, 1254855, 1254856, 1254857, 1254912, 1254926, 1254956, 1254959, 1255000, 1274401, ...]
[left]: [0, 20, 4, 21, 19, 3, 16, 1, 21, 23, 6, 11, 1, 24, 13, 2, 0, 1, 0, 19, 17, 23, 2, 2, 15, 2, 2, 18, 2, 2, 17, 31, 4, 1, 3, 4, 14, 5, 16, 26, 21, 0, 21, 1, 3, 17, 5, 22, 6, 3, 3, 2, 4, 21, 1, 0, 9, 2, 17, 24, 16, 8, 4, 4, 22, 4, 1, 7, 0, 0, 6, 18, 5, 15, 8, 9, 5, 10, 2, 4, 2, 0, 19, 3, 21, 20, 14, 16, 16, 16, 16, 4, 1, 1, 4, 24, 2, 15, 23, 15, ...]
[right]: [0, 20, 4, 19, 19, 3, 16, 1, 21, 23, 6, 11, 1, 24, 15, 2, 0, 1, 0, 20, 17, 23, 2, 2, 15, 2, 2, 18, 2, 3, 17, 31, 4, 1, 3, 4, 14, 5, 11, 26, 21, 0, 21, 1, 5, 14, 5, 22, 6, 3, 3, 1, 4, 18, 1, 0, 8, 2, 17, 24, 16, 8, 4, 4, 21, 4, 2, 7, 1, 0, 6, 20, 5, 15, 8, 9, 5, 13, 2, 4, 2, 0, 19, 3, 21, 20, 13, 16, 16, 16, 16, 4, 1, 1, 4, 24, 2, 15, 23, 15, ...]

Expected behavior
Multiprocessing should not alter the results.

Activity

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

Reproducible random does not work in trip scheduling choice #891

Description

@jpn--

Describe the bug
The reproducible random code is supposed to ensure that, when run with a fixed seed, household-relevant results (persons, trips, tours) for any particular household remain stable no matter how many other households are in the sample. This is not the case for the trip scheduling choice model (currently used only by ARC).

Note this bug does not impact the statistical distribution or validity of results, it merely makes model testing problematic.

To Reproduce
Steps to reproduce the behavior:

  1. Run the ARC model single process for some moderate sized household sample.
  2. Run the ARC model multi-process, with num_processes > 1 for the same household sample. Some households will be processes in different groups, which should not change the results.
  3. Observe that a small percentage of household trip schedules differ, typically by a small amount.
- Column 'main_leg_duration' failure
AssertionError: Series are different
Series values are different (22.66227 %)
[index]: [18413, 18448, 18473, 18489, 30371, 66957, 66992, 66998, 67033, 67066, 67104, 67148, 88747, 88763, 127869, 127871, 271675, 271676, 271683, 271746, 271779, 271820, 391140, 391142, 391179, 391214, 391226, 391261, 410255, 410256, 410359, 410378, 410443, 533935, 533941, 541799, 541846, 543947, 543986, 544019, 578877, 633385, 633407, 633437, 633442, 633489, 633522, 633530, 656794, 656812, 656853, 656854, 656867, 656892, 721604, 721609, 721639, 721669, 721713, 721754, 721795, 779015, 779028, 779066, 788961, 811612, 811620, 811631, 811664, 977162, 977230, 977233, 977260, 1031632, 1031673, 1178586, 1178601, 1178625, 1178636, 1178637, 1178660, 1178677, 1178740, 1224715, 1224750, 1224791, 1224792, 1224824, 1234344, 1234377, 1234418, 1254855, 1254856, 1254857, 1254912, 1254926, 1254956, 1254959, 1255000, 1274401, ...]
[left]: [0, 20, 4, 21, 19, 3, 16, 1, 21, 23, 6, 11, 1, 24, 13, 2, 0, 1, 0, 19, 17, 23, 2, 2, 15, 2, 2, 18, 2, 2, 17, 31, 4, 1, 3, 4, 14, 5, 16, 26, 21, 0, 21, 1, 3, 17, 5, 22, 6, 3, 3, 2, 4, 21, 1, 0, 9, 2, 17, 24, 16, 8, 4, 4, 22, 4, 1, 7, 0, 0, 6, 18, 5, 15, 8, 9, 5, 10, 2, 4, 2, 0, 19, 3, 21, 20, 14, 16, 16, 16, 16, 4, 1, 1, 4, 24, 2, 15, 23, 15, ...]
[right]: [0, 20, 4, 19, 19, 3, 16, 1, 21, 23, 6, 11, 1, 24, 15, 2, 0, 1, 0, 20, 17, 23, 2, 2, 15, 2, 2, 18, 2, 3, 17, 31, 4, 1, 3, 4, 14, 5, 11, 26, 21, 0, 21, 1, 5, 14, 5, 22, 6, 3, 3, 1, 4, 18, 1, 0, 8, 2, 17, 24, 16, 8, 4, 4, 21, 4, 2, 7, 1, 0, 6, 20, 5, 15, 8, 9, 5, 13, 2, 4, 2, 0, 19, 3, 21, 20, 13, 16, 16, 16, 16, 4, 1, 1, 4, 24, 2, 15, 23, 15, ...]

Expected behavior
Multiprocessing should not alter the results.

Activity

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

Reproducible random does not work in trip scheduling choice #891

Description

@jpn--

Describe the bug
The reproducible random code is supposed to ensure that, when run with a fixed seed, household-relevant results (persons, trips, tours) for any particular household remain stable no matter how many other households are in the sample. This is not the case for the trip scheduling choice model (currently used only by ARC).

Note this bug does not impact the statistical distribution or validity of results, it merely makes model testing problematic.

To Reproduce
Steps to reproduce the behavior:

  1. Run the ARC model single process for some moderate sized household sample.
  2. Run the ARC model multi-process, with num_processes > 1 for the same household sample. Some households will be processes in different groups, which should not change the results.
  3. Observe that a small percentage of household trip schedules differ, typically by a small amount.
- Column 'main_leg_duration' failure
AssertionError: Series are different
Series values are different (22.66227 %)
[index]: [18413, 18448, 18473, 18489, 30371, 66957, 66992, 66998, 67033, 67066, 67104, 67148, 88747, 88763, 127869, 127871, 271675, 271676, 271683, 271746, 271779, 271820, 391140, 391142, 391179, 391214, 391226, 391261, 410255, 410256, 410359, 410378, 410443, 533935, 533941, 541799, 541846, 543947, 543986, 544019, 578877, 633385, 633407, 633437, 633442, 633489, 633522, 633530, 656794, 656812, 656853, 656854, 656867, 656892, 721604, 721609, 721639, 721669, 721713, 721754, 721795, 779015, 779028, 779066, 788961, 811612, 811620, 811631, 811664, 977162, 977230, 977233, 977260, 1031632, 1031673, 1178586, 1178601, 1178625, 1178636, 1178637, 1178660, 1178677, 1178740, 1224715, 1224750, 1224791, 1224792, 1224824, 1234344, 1234377, 1234418, 1254855, 1254856, 1254857, 1254912, 1254926, 1254956, 1254959, 1255000, 1274401, ...]
[left]: [0, 20, 4, 21, 19, 3, 16, 1, 21, 23, 6, 11, 1, 24, 13, 2, 0, 1, 0, 19, 17, 23, 2, 2, 15, 2, 2, 18, 2, 2, 17, 31, 4, 1, 3, 4, 14, 5, 16, 26, 21, 0, 21, 1, 3, 17, 5, 22, 6, 3, 3, 2, 4, 21, 1, 0, 9, 2, 17, 24, 16, 8, 4, 4, 22, 4, 1, 7, 0, 0, 6, 18, 5, 15, 8, 9, 5, 10, 2, 4, 2, 0, 19, 3, 21, 20, 14, 16, 16, 16, 16, 4, 1, 1, 4, 24, 2, 15, 23, 15, ...]
[right]: [0, 20, 4, 19, 19, 3, 16, 1, 21, 23, 6, 11, 1, 24, 15, 2, 0, 1, 0, 20, 17, 23, 2, 2, 15, 2, 2, 18, 2, 3, 17, 31, 4, 1, 3, 4, 14, 5, 11, 26, 21, 0, 21, 1, 5, 14, 5, 22, 6, 3, 3, 1, 4, 18, 1, 0, 8, 2, 17, 24, 16, 8, 4, 4, 21, 4, 2, 7, 1, 0, 6, 20, 5, 15, 8, 9, 5, 13, 2, 4, 2, 0, 19, 3, 21, 20, 13, 16, 16, 16, 16, 4, 1, 1, 4, 24, 2, 15, 23, 15, ...]

Expected behavior
Multiprocessing should not alter the results.

Activity

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

Reproducible random does not work in trip scheduling choice #891

Description

@jpn--

Describe the bug
The reproducible random code is supposed to ensure that, when run with a fixed seed, household-relevant results (persons, trips, tours) for any particular household remain stable no matter how many other households are in the sample. This is not the case for the trip scheduling choice model (currently used only by ARC).

Note this bug does not impact the statistical distribution or validity of results, it merely makes model testing problematic.

To Reproduce
Steps to reproduce the behavior:

  1. Run the ARC model single process for some moderate sized household sample.
  2. Run the ARC model multi-process, with num_processes > 1 for the same household sample. Some households will be processes in different groups, which should not change the results.
  3. Observe that a small percentage of household trip schedules differ, typically by a small amount.
- Column 'main_leg_duration' failure
AssertionError: Series are different
Series values are different (22.66227 %)
[index]: [18413, 18448, 18473, 18489, 30371, 66957, 66992, 66998, 67033, 67066, 67104, 67148, 88747, 88763, 127869, 127871, 271675, 271676, 271683, 271746, 271779, 271820, 391140, 391142, 391179, 391214, 391226, 391261, 410255, 410256, 410359, 410378, 410443, 533935, 533941, 541799, 541846, 543947, 543986, 544019, 578877, 633385, 633407, 633437, 633442, 633489, 633522, 633530, 656794, 656812, 656853, 656854, 656867, 656892, 721604, 721609, 721639, 721669, 721713, 721754, 721795, 779015, 779028, 779066, 788961, 811612, 811620, 811631, 811664, 977162, 977230, 977233, 977260, 1031632, 1031673, 1178586, 1178601, 1178625, 1178636, 1178637, 1178660, 1178677, 1178740, 1224715, 1224750, 1224791, 1224792, 1224824, 1234344, 1234377, 1234418, 1254855, 1254856, 1254857, 1254912, 1254926, 1254956, 1254959, 1255000, 1274401, ...]
[left]: [0, 20, 4, 21, 19, 3, 16, 1, 21, 23, 6, 11, 1, 24, 13, 2, 0, 1, 0, 19, 17, 23, 2, 2, 15, 2, 2, 18, 2, 2, 17, 31, 4, 1, 3, 4, 14, 5, 16, 26, 21, 0, 21, 1, 3, 17, 5, 22, 6, 3, 3, 2, 4, 21, 1, 0, 9, 2, 17, 24, 16, 8, 4, 4, 22, 4, 1, 7, 0, 0, 6, 18, 5, 15, 8, 9, 5, 10, 2, 4, 2, 0, 19, 3, 21, 20, 14, 16, 16, 16, 16, 4, 1, 1, 4, 24, 2, 15, 23, 15, ...]
[right]: [0, 20, 4, 19, 19, 3, 16, 1, 21, 23, 6, 11, 1, 24, 15, 2, 0, 1, 0, 20, 17, 23, 2, 2, 15, 2, 2, 18, 2, 3, 17, 31, 4, 1, 3, 4, 14, 5, 11, 26, 21, 0, 21, 1, 5, 14, 5, 22, 6, 3, 3, 1, 4, 18, 1, 0, 8, 2, 17, 24, 16, 8, 4, 4, 21, 4, 2, 7, 1, 0, 6, 20, 5, 15, 8, 9, 5, 13, 2, 4, 2, 0, 19, 3, 21, 20, 13, 16, 16, 16, 16, 4, 1, 1, 4, 24, 2, 15, 23, 15, ...]

Expected behavior
Multiprocessing should not alter the results.

Activity

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Metadata

Metadata

Assignees

Labels

BugSomething isn't working/bug f

Type

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Projects

  • Status
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  • Status
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Milestone

No milestone

Relationships

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Development

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Reproducible random does not work in trip scheduling choice #891

Description

@jpn--

Describe the bug
The reproducible random code is supposed to ensure that, when run with a fixed seed, household-relevant results (persons, trips, tours) for any particular household remain stable no matter how many other households are in the sample. This is not the case for the trip scheduling choice model (currently used only by ARC).

Note this bug does not impact the statistical distribution or validity of results, it merely makes model testing problematic.

To Reproduce
Steps to reproduce the behavior:

  1. Run the ARC model single process for some moderate sized household sample.
  2. Run the ARC model multi-process, with num_processes > 1 for the same household sample. Some households will be processes in different groups, which should not change the results.
  3. Observe that a small percentage of household trip schedules differ, typically by a small amount.
- Column 'main_leg_duration' failure
AssertionError: Series are different
Series values are different (22.66227 %)
[index]: [18413, 18448, 18473, 18489, 30371, 66957, 66992, 66998, 67033, 67066, 67104, 67148, 88747, 88763, 127869, 127871, 271675, 271676, 271683, 271746, 271779, 271820, 391140, 391142, 391179, 391214, 391226, 391261, 410255, 410256, 410359, 410378, 410443, 533935, 533941, 541799, 541846, 543947, 543986, 544019, 578877, 633385, 633407, 633437, 633442, 633489, 633522, 633530, 656794, 656812, 656853, 656854, 656867, 656892, 721604, 721609, 721639, 721669, 721713, 721754, 721795, 779015, 779028, 779066, 788961, 811612, 811620, 811631, 811664, 977162, 977230, 977233, 977260, 1031632, 1031673, 1178586, 1178601, 1178625, 1178636, 1178637, 1178660, 1178677, 1178740, 1224715, 1224750, 1224791, 1224792, 1224824, 1234344, 1234377, 1234418, 1254855, 1254856, 1254857, 1254912, 1254926, 1254956, 1254959, 1255000, 1274401, ...]
[left]: [0, 20, 4, 21, 19, 3, 16, 1, 21, 23, 6, 11, 1, 24, 13, 2, 0, 1, 0, 19, 17, 23, 2, 2, 15, 2, 2, 18, 2, 2, 17, 31, 4, 1, 3, 4, 14, 5, 16, 26, 21, 0, 21, 1, 3, 17, 5, 22, 6, 3, 3, 2, 4, 21, 1, 0, 9, 2, 17, 24, 16, 8, 4, 4, 22, 4, 1, 7, 0, 0, 6, 18, 5, 15, 8, 9, 5, 10, 2, 4, 2, 0, 19, 3, 21, 20, 14, 16, 16, 16, 16, 4, 1, 1, 4, 24, 2, 15, 23, 15, ...]
[right]: [0, 20, 4, 19, 19, 3, 16, 1, 21, 23, 6, 11, 1, 24, 15, 2, 0, 1, 0, 20, 17, 23, 2, 2, 15, 2, 2, 18, 2, 3, 17, 31, 4, 1, 3, 4, 14, 5, 11, 26, 21, 0, 21, 1, 5, 14, 5, 22, 6, 3, 3, 1, 4, 18, 1, 0, 8, 2, 17, 24, 16, 8, 4, 4, 21, 4, 2, 7, 1, 0, 6, 20, 5, 15, 8, 9, 5, 13, 2, 4, 2, 0, 19, 3, 21, 20, 13, 16, 16, 16, 16, 4, 1, 1, 4, 24, 2, 15, 23, 15, ...]

Expected behavior
Multiprocessing should not alter the results.

Activity

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Reproducible random does not work in trip scheduling choice #891

Description

@jpn--

Describe the bug
The reproducible random code is supposed to ensure that, when run with a fixed seed, household-relevant results (persons, trips, tours) for any particular household remain stable no matter how many other households are in the sample. This is not the case for the trip scheduling choice model (currently used only by ARC).

Note this bug does not impact the statistical distribution or validity of results, it merely makes model testing problematic.

To Reproduce
Steps to reproduce the behavior:

  1. Run the ARC model single process for some moderate sized household sample.
  2. Run the ARC model multi-process, with num_processes > 1 for the same household sample. Some households will be processes in different groups, which should not change the results.
  3. Observe that a small percentage of household trip schedules differ, typically by a small amount.
- Column 'main_leg_duration' failure
AssertionError: Series are different
Series values are different (22.66227 %)
[index]: [18413, 18448, 18473, 18489, 30371, 66957, 66992, 66998, 67033, 67066, 67104, 67148, 88747, 88763, 127869, 127871, 271675, 271676, 271683, 271746, 271779, 271820, 391140, 391142, 391179, 391214, 391226, 391261, 410255, 410256, 410359, 410378, 410443, 533935, 533941, 541799, 541846, 543947, 543986, 544019, 578877, 633385, 633407, 633437, 633442, 633489, 633522, 633530, 656794, 656812, 656853, 656854, 656867, 656892, 721604, 721609, 721639, 721669, 721713, 721754, 721795, 779015, 779028, 779066, 788961, 811612, 811620, 811631, 811664, 977162, 977230, 977233, 977260, 1031632, 1031673, 1178586, 1178601, 1178625, 1178636, 1178637, 1178660, 1178677, 1178740, 1224715, 1224750, 1224791, 1224792, 1224824, 1234344, 1234377, 1234418, 1254855, 1254856, 1254857, 1254912, 1254926, 1254956, 1254959, 1255000, 1274401, ...]
[left]: [0, 20, 4, 21, 19, 3, 16, 1, 21, 23, 6, 11, 1, 24, 13, 2, 0, 1, 0, 19, 17, 23, 2, 2, 15, 2, 2, 18, 2, 2, 17, 31, 4, 1, 3, 4, 14, 5, 16, 26, 21, 0, 21, 1, 3, 17, 5, 22, 6, 3, 3, 2, 4, 21, 1, 0, 9, 2, 17, 24, 16, 8, 4, 4, 22, 4, 1, 7, 0, 0, 6, 18, 5, 15, 8, 9, 5, 10, 2, 4, 2, 0, 19, 3, 21, 20, 14, 16, 16, 16, 16, 4, 1, 1, 4, 24, 2, 15, 23, 15, ...]
[right]: [0, 20, 4, 19, 19, 3, 16, 1, 21, 23, 6, 11, 1, 24, 15, 2, 0, 1, 0, 20, 17, 23, 2, 2, 15, 2, 2, 18, 2, 3, 17, 31, 4, 1, 3, 4, 14, 5, 11, 26, 21, 0, 21, 1, 5, 14, 5, 22, 6, 3, 3, 1, 4, 18, 1, 0, 8, 2, 17, 24, 16, 8, 4, 4, 21, 4, 2, 7, 1, 0, 6, 20, 5, 15, 8, 9, 5, 13, 2, 4, 2, 0, 19, 3, 21, 20, 13, 16, 16, 16, 16, 4, 1, 1, 4, 24, 2, 15, 23, 15, ...]

Expected behavior
Multiprocessing should not alter the results.

Activity

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Metadata

Metadata

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Labels

BugSomething isn't working/bug f

Type

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  • Status
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  • Status
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Issue actions

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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Reproducible random does not work in trip scheduling choice #891

Description

@jpn--

Describe the bug
The reproducible random code is supposed to ensure that, when run with a fixed seed, household-relevant results (persons, trips, tours) for any particular household remain stable no matter how many other households are in the sample. This is not the case for the trip scheduling choice model (currently used only by ARC).

Note this bug does not impact the statistical distribution or validity of results, it merely makes model testing problematic.

To Reproduce
Steps to reproduce the behavior:

  1. Run the ARC model single process for some moderate sized household sample.
  2. Run the ARC model multi-process, with num_processes > 1 for the same household sample. Some households will be processes in different groups, which should not change the results.
  3. Observe that a small percentage of household trip schedules differ, typically by a small amount.
- Column 'main_leg_duration' failure
AssertionError: Series are different
Series values are different (22.66227 %)
[index]: [18413, 18448, 18473, 18489, 30371, 66957, 66992, 66998, 67033, 67066, 67104, 67148, 88747, 88763, 127869, 127871, 271675, 271676, 271683, 271746, 271779, 271820, 391140, 391142, 391179, 391214, 391226, 391261, 410255, 410256, 410359, 410378, 410443, 533935, 533941, 541799, 541846, 543947, 543986, 544019, 578877, 633385, 633407, 633437, 633442, 633489, 633522, 633530, 656794, 656812, 656853, 656854, 656867, 656892, 721604, 721609, 721639, 721669, 721713, 721754, 721795, 779015, 779028, 779066, 788961, 811612, 811620, 811631, 811664, 977162, 977230, 977233, 977260, 1031632, 1031673, 1178586, 1178601, 1178625, 1178636, 1178637, 1178660, 1178677, 1178740, 1224715, 1224750, 1224791, 1224792, 1224824, 1234344, 1234377, 1234418, 1254855, 1254856, 1254857, 1254912, 1254926, 1254956, 1254959, 1255000, 1274401, ...]
[left]: [0, 20, 4, 21, 19, 3, 16, 1, 21, 23, 6, 11, 1, 24, 13, 2, 0, 1, 0, 19, 17, 23, 2, 2, 15, 2, 2, 18, 2, 2, 17, 31, 4, 1, 3, 4, 14, 5, 16, 26, 21, 0, 21, 1, 3, 17, 5, 22, 6, 3, 3, 2, 4, 21, 1, 0, 9, 2, 17, 24, 16, 8, 4, 4, 22, 4, 1, 7, 0, 0, 6, 18, 5, 15, 8, 9, 5, 10, 2, 4, 2, 0, 19, 3, 21, 20, 14, 16, 16, 16, 16, 4, 1, 1, 4, 24, 2, 15, 23, 15, ...]
[right]: [0, 20, 4, 19, 19, 3, 16, 1, 21, 23, 6, 11, 1, 24, 15, 2, 0, 1, 0, 20, 17, 23, 2, 2, 15, 2, 2, 18, 2, 3, 17, 31, 4, 1, 3, 4, 14, 5, 11, 26, 21, 0, 21, 1, 5, 14, 5, 22, 6, 3, 3, 1, 4, 18, 1, 0, 8, 2, 17, 24, 16, 8, 4, 4, 21, 4, 2, 7, 1, 0, 6, 20, 5, 15, 8, 9, 5, 13, 2, 4, 2, 0, 19, 3, 21, 20, 13, 16, 16, 16, 16, 4, 1, 1, 4, 24, 2, 15, 23, 15, ...]

Expected behavior
Multiprocessing should not alter the results.

Activity

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Metadata

Metadata

Assignees

Labels

BugSomething isn't working/bug f

Type

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Projects

  • Status
    Done
  • Status
    Done

Milestone

No milestone

Relationships

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Development

No branches or pull requests

Issue actions