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JSON encoding engine instrumentation - #3012

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This PR should not be merged!

This PR is instrumented for testing the new JSON encoding engine being introduced in #2955 (comment). Idea from @nicolaskruchten in #2955 (comment).

With this branch, every call to to_plotly_json performs JSON encoding with all three engines, then decodes the result and checks that identical dictionaries are produced. When they are not identical, and exception is raised.

Locally, nearly all of the documentation examples work. The two exceptions are imshow and ml-tsne-umap-projections. Both of these fail due to difference in how the orjson encoding handles floating-point numbers with precision less than 64 bits.

When encoding a float32 numpy array, the legacy and json encoders will convert this to a list of regular Python 64-bit floats before encoding them. This results extra digits in the JSON representation. In contrast, the orjson encoder will only write out the number of digits corresponding to the original 32-bit values.

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jonmmease marked this pull request as draft January 8, 2021 21:02
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awesome! To get a bit more mileage out of our extant tests which don't call fig.show() maybe add a JSON call to the end of px._core.make_figure() or something? Maybe consider adding it to all the update_* methods so that we check a bunch of intermediate representations as well? Super-slow, I know, but doing it just a couple of times would do ;)

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Yeah, those are good ideas. I'll add that sometime over the next couple of days

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@nicolaskruchten, I added the extra instrumentation points in be81b16 and everything looks the same as far as I can tell. See what you think!

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OK, are you just running these locally or...? CI is failing because orjson isn't installed so I assume your goal wasn't to get CI to go green here, right?

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Yeah, I was running locally. And on CI I was mostly looking at the docs. I had the orjson stuff working on CI, but maybe that's in the other PR. I'll take a look.

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Merged in #3022, and a couple CI fixes and now all existing tests are passing with the instrumented version.

@archmoj
archmoj deleted the orjson_encoding_instrumentation branch November 23, 2021 23:34
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JSON encoding engine instrumentation by jonmmease · Pull Request #3012 · plotly/plotly.py · GitHub
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JSON encoding engine instrumentation - #3012

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jonmmease wants to merge 18 commits into
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This PR should not be merged!

This PR is instrumented for testing the new JSON encoding engine being introduced in #2955 (comment). Idea from @nicolaskruchten in #2955 (comment).

With this branch, every call to to_plotly_json performs JSON encoding with all three engines, then decodes the result and checks that identical dictionaries are produced. When they are not identical, and exception is raised.

Locally, nearly all of the documentation examples work. The two exceptions are imshow and ml-tsne-umap-projections. Both of these fail due to difference in how the orjson encoding handles floating-point numbers with precision less than 64 bits.

When encoding a float32 numpy array, the legacy and json encoders will convert this to a list of regular Python 64-bit floats before encoding them. This results extra digits in the JSON representation. In contrast, the orjson encoder will only write out the number of digits corresponding to the original 32-bit values.

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jonmmease marked this pull request as draft January 8, 2021 21:02
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awesome! To get a bit more mileage out of our extant tests which don't call fig.show() maybe add a JSON call to the end of px._core.make_figure() or something? Maybe consider adding it to all the update_* methods so that we check a bunch of intermediate representations as well? Super-slow, I know, but doing it just a couple of times would do ;)

@jonmmease

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Yeah, those are good ideas. I'll add that sometime over the next couple of days

@jonmmease

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@nicolaskruchten, I added the extra instrumentation points in be81b16 and everything looks the same as far as I can tell. See what you think!

@nicolaskruchten

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OK, are you just running these locally or...? CI is failing because orjson isn't installed so I assume your goal wasn't to get CI to go green here, right?

@jonmmease

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Yeah, I was running locally. And on CI I was mostly looking at the docs. I had the orjson stuff working on CI, but maybe that's in the other PR. I'll take a look.

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Merged in #3022, and a couple CI fixes and now all existing tests are passing with the instrumented version.

@archmoj
archmoj deleted the orjson_encoding_instrumentation branch November 23, 2021 23:34
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JSON encoding engine instrumentation - #3012

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jonmmease wants to merge 18 commits into
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This PR should not be merged!

This PR is instrumented for testing the new JSON encoding engine being introduced in #2955 (comment). Idea from @nicolaskruchten in #2955 (comment).

With this branch, every call to to_plotly_json performs JSON encoding with all three engines, then decodes the result and checks that identical dictionaries are produced. When they are not identical, and exception is raised.

Locally, nearly all of the documentation examples work. The two exceptions are imshow and ml-tsne-umap-projections. Both of these fail due to difference in how the orjson encoding handles floating-point numbers with precision less than 64 bits.

When encoding a float32 numpy array, the legacy and json encoders will convert this to a list of regular Python 64-bit floats before encoding them. This results extra digits in the JSON representation. In contrast, the orjson encoder will only write out the number of digits corresponding to the original 32-bit values.

@jonmmease
jonmmease marked this pull request as draft January 8, 2021 21:02
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awesome! To get a bit more mileage out of our extant tests which don't call fig.show() maybe add a JSON call to the end of px._core.make_figure() or something? Maybe consider adding it to all the update_* methods so that we check a bunch of intermediate representations as well? Super-slow, I know, but doing it just a couple of times would do ;)

@jonmmease

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Yeah, those are good ideas. I'll add that sometime over the next couple of days

@jonmmease

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@nicolaskruchten, I added the extra instrumentation points in be81b16 and everything looks the same as far as I can tell. See what you think!

@nicolaskruchten

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OK, are you just running these locally or...? CI is failing because orjson isn't installed so I assume your goal wasn't to get CI to go green here, right?

@jonmmease

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Yeah, I was running locally. And on CI I was mostly looking at the docs. I had the orjson stuff working on CI, but maybe that's in the other PR. I'll take a look.

@jonmmease

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Merged in #3022, and a couple CI fixes and now all existing tests are passing with the instrumented version.

@archmoj
archmoj deleted the orjson_encoding_instrumentation branch November 23, 2021 23:34
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, '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('^' + ".*" + ' JSON encoding engine instrumentation by jonmmease · Pull Request #3012 · plotly/plotly.py · GitHub
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JSON encoding engine instrumentation - #3012

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This PR should not be merged!

This PR is instrumented for testing the new JSON encoding engine being introduced in #2955 (comment). Idea from @nicolaskruchten in #2955 (comment).

With this branch, every call to to_plotly_json performs JSON encoding with all three engines, then decodes the result and checks that identical dictionaries are produced. When they are not identical, and exception is raised.

Locally, nearly all of the documentation examples work. The two exceptions are imshow and ml-tsne-umap-projections. Both of these fail due to difference in how the orjson encoding handles floating-point numbers with precision less than 64 bits.

When encoding a float32 numpy array, the legacy and json encoders will convert this to a list of regular Python 64-bit floats before encoding them. This results extra digits in the JSON representation. In contrast, the orjson encoder will only write out the number of digits corresponding to the original 32-bit values.

@jonmmease
jonmmease marked this pull request as draft January 8, 2021 21:02
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awesome! To get a bit more mileage out of our extant tests which don't call fig.show() maybe add a JSON call to the end of px._core.make_figure() or something? Maybe consider adding it to all the update_* methods so that we check a bunch of intermediate representations as well? Super-slow, I know, but doing it just a couple of times would do ;)

@jonmmease

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Yeah, those are good ideas. I'll add that sometime over the next couple of days

@jonmmease

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@nicolaskruchten, I added the extra instrumentation points in be81b16 and everything looks the same as far as I can tell. See what you think!

@nicolaskruchten

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OK, are you just running these locally or...? CI is failing because orjson isn't installed so I assume your goal wasn't to get CI to go green here, right?

@jonmmease

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Yeah, I was running locally. And on CI I was mostly looking at the docs. I had the orjson stuff working on CI, but maybe that's in the other PR. I'll take a look.

@jonmmease

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Merged in #3022, and a couple CI fixes and now all existing tests are passing with the instrumented version.

@archmoj
archmoj deleted the orjson_encoding_instrumentation branch November 23, 2021 23:34
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, '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" + ' JSON encoding engine instrumentation by jonmmease · Pull Request #3012 · plotly/plotly.py · GitHub
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JSON encoding engine instrumentation - #3012

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This PR should not be merged!

This PR is instrumented for testing the new JSON encoding engine being introduced in #2955 (comment). Idea from @nicolaskruchten in #2955 (comment).

With this branch, every call to to_plotly_json performs JSON encoding with all three engines, then decodes the result and checks that identical dictionaries are produced. When they are not identical, and exception is raised.

Locally, nearly all of the documentation examples work. The two exceptions are imshow and ml-tsne-umap-projections. Both of these fail due to difference in how the orjson encoding handles floating-point numbers with precision less than 64 bits.

When encoding a float32 numpy array, the legacy and json encoders will convert this to a list of regular Python 64-bit floats before encoding them. This results extra digits in the JSON representation. In contrast, the orjson encoder will only write out the number of digits corresponding to the original 32-bit values.

@jonmmease
jonmmease marked this pull request as draft January 8, 2021 21:02
@nicolaskruchten

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awesome! To get a bit more mileage out of our extant tests which don't call fig.show() maybe add a JSON call to the end of px._core.make_figure() or something? Maybe consider adding it to all the update_* methods so that we check a bunch of intermediate representations as well? Super-slow, I know, but doing it just a couple of times would do ;)

@jonmmease

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Yeah, those are good ideas. I'll add that sometime over the next couple of days

@jonmmease

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@nicolaskruchten, I added the extra instrumentation points in be81b16 and everything looks the same as far as I can tell. See what you think!

@nicolaskruchten

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Contributor

OK, are you just running these locally or...? CI is failing because orjson isn't installed so I assume your goal wasn't to get CI to go green here, right?

@jonmmease

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Yeah, I was running locally. And on CI I was mostly looking at the docs. I had the orjson stuff working on CI, but maybe that's in the other PR. I'll take a look.

@jonmmease

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Merged in #3022, and a couple CI fixes and now all existing tests are passing with the instrumented version.

@archmoj
archmoj deleted the orjson_encoding_instrumentation branch November 23, 2021 23:34
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JSON encoding engine instrumentation - #3012

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This PR should not be merged!

This PR is instrumented for testing the new JSON encoding engine being introduced in #2955 (comment). Idea from @nicolaskruchten in #2955 (comment).

With this branch, every call to to_plotly_json performs JSON encoding with all three engines, then decodes the result and checks that identical dictionaries are produced. When they are not identical, and exception is raised.

Locally, nearly all of the documentation examples work. The two exceptions are imshow and ml-tsne-umap-projections. Both of these fail due to difference in how the orjson encoding handles floating-point numbers with precision less than 64 bits.

When encoding a float32 numpy array, the legacy and json encoders will convert this to a list of regular Python 64-bit floats before encoding them. This results extra digits in the JSON representation. In contrast, the orjson encoder will only write out the number of digits corresponding to the original 32-bit values.

@jonmmease
jonmmease marked this pull request as draft January 8, 2021 21:02
@nicolaskruchten

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awesome! To get a bit more mileage out of our extant tests which don't call fig.show() maybe add a JSON call to the end of px._core.make_figure() or something? Maybe consider adding it to all the update_* methods so that we check a bunch of intermediate representations as well? Super-slow, I know, but doing it just a couple of times would do ;)

@jonmmease

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Yeah, those are good ideas. I'll add that sometime over the next couple of days

@jonmmease

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@nicolaskruchten, I added the extra instrumentation points in be81b16 and everything looks the same as far as I can tell. See what you think!

@nicolaskruchten

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Contributor

OK, are you just running these locally or...? CI is failing because orjson isn't installed so I assume your goal wasn't to get CI to go green here, right?

@jonmmease

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ContributorAuthor

Yeah, I was running locally. And on CI I was mostly looking at the docs. I had the orjson stuff working on CI, but maybe that's in the other PR. I'll take a look.

@jonmmease

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ContributorAuthor

Merged in #3022, and a couple CI fixes and now all existing tests are passing with the instrumented version.

@archmoj
archmoj deleted the orjson_encoding_instrumentation branch November 23, 2021 23:34
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JSON encoding engine instrumentation - #3012

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This PR should not be merged!

This PR is instrumented for testing the new JSON encoding engine being introduced in #2955 (comment). Idea from @nicolaskruchten in #2955 (comment).

With this branch, every call to to_plotly_json performs JSON encoding with all three engines, then decodes the result and checks that identical dictionaries are produced. When they are not identical, and exception is raised.

Locally, nearly all of the documentation examples work. The two exceptions are imshow and ml-tsne-umap-projections. Both of these fail due to difference in how the orjson encoding handles floating-point numbers with precision less than 64 bits.

When encoding a float32 numpy array, the legacy and json encoders will convert this to a list of regular Python 64-bit floats before encoding them. This results extra digits in the JSON representation. In contrast, the orjson encoder will only write out the number of digits corresponding to the original 32-bit values.

@jonmmease
jonmmease marked this pull request as draft January 8, 2021 21:02
@nicolaskruchten

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awesome! To get a bit more mileage out of our extant tests which don't call fig.show() maybe add a JSON call to the end of px._core.make_figure() or something? Maybe consider adding it to all the update_* methods so that we check a bunch of intermediate representations as well? Super-slow, I know, but doing it just a couple of times would do ;)

@jonmmease

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Yeah, those are good ideas. I'll add that sometime over the next couple of days

@jonmmease

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ContributorAuthor

@nicolaskruchten, I added the extra instrumentation points in be81b16 and everything looks the same as far as I can tell. See what you think!

@nicolaskruchten

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Contributor

OK, are you just running these locally or...? CI is failing because orjson isn't installed so I assume your goal wasn't to get CI to go green here, right?

@jonmmease

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Yeah, I was running locally. And on CI I was mostly looking at the docs. I had the orjson stuff working on CI, but maybe that's in the other PR. I'll take a look.

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Merged in #3022, and a couple CI fixes and now all existing tests are passing with the instrumented version.

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archmoj deleted the orjson_encoding_instrumentation branch November 23, 2021 23:34
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, '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); } })(); })(); JSON encoding engine instrumentation by jonmmease · Pull Request #3012 · plotly/plotly.py · GitHub
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JSON encoding engine instrumentation - #3012

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orjson_encoding_instrumentation
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JSON encoding engine instrumentation#3012
jonmmease wants to merge 18 commits into
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@jonmmease

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This PR should not be merged!

This PR is instrumented for testing the new JSON encoding engine being introduced in #2955 (comment). Idea from @nicolaskruchten in #2955 (comment).

With this branch, every call to to_plotly_json performs JSON encoding with all three engines, then decodes the result and checks that identical dictionaries are produced. When they are not identical, and exception is raised.

Locally, nearly all of the documentation examples work. The two exceptions are imshow and ml-tsne-umap-projections. Both of these fail due to difference in how the orjson encoding handles floating-point numbers with precision less than 64 bits.

When encoding a float32 numpy array, the legacy and json encoders will convert this to a list of regular Python 64-bit floats before encoding them. This results extra digits in the JSON representation. In contrast, the orjson encoder will only write out the number of digits corresponding to the original 32-bit values.

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jonmmease marked this pull request as draft January 8, 2021 21:02
@nicolaskruchten

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awesome! To get a bit more mileage out of our extant tests which don't call fig.show() maybe add a JSON call to the end of px._core.make_figure() or something? Maybe consider adding it to all the update_* methods so that we check a bunch of intermediate representations as well? Super-slow, I know, but doing it just a couple of times would do ;)

@jonmmease

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Yeah, those are good ideas. I'll add that sometime over the next couple of days

@jonmmease

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@nicolaskruchten, I added the extra instrumentation points in be81b16 and everything looks the same as far as I can tell. See what you think!

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OK, are you just running these locally or...? CI is failing because orjson isn't installed so I assume your goal wasn't to get CI to go green here, right?

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Yeah, I was running locally. And on CI I was mostly looking at the docs. I had the orjson stuff working on CI, but maybe that's in the other PR. I'll take a look.

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Merged in #3022, and a couple CI fixes and now all existing tests are passing with the instrumented version.

@archmoj
archmoj deleted the orjson_encoding_instrumentation branch November 23, 2021 23:34
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