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-- https://github.com/HTTPArchive/almanac.httparchive.org/blob/a54cc07fc61461e1366112ba81cf6e8fed7236fa/sql/2022/css/multicol.sql#L9
-- https://github.com/HTTPArchive/almanac.httparchive.org/blob/a54cc07fc61461e1366112ba81cf6e8fed7236fa/sql/2021/css/grid_named_lines.sql#L9
CREATE TEMPORARY FUNCTION countMozImageRect(css STRING)
RETURNS NUMERIC
LANGUAGE js
OPTIONS (library = "gs://httparchive/lib/css-utils.js")
AS '''
try {
  const ast = JSON.parse(css);
  return countDeclarations(ast.stylesheet.rules, {values: /^-moz-image-rect/});

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    { "version": "development", "options": { "test-interval": 30, "display": "minimal", "tiles": "big", "controller": "ramp", "kalman-process-error": 1, "kalman-measurement-error": 4, "time-measurement": "performance", "warmup-length": 2000, "warmup-frame-count": 30, "first-frame-minimum-length": 0, "system-frame-rate": 60, "frame-rate": 60, "configuration": "medium" }, "data": [ { "MotionMark": { "Multiply": { "marks": { "Start sampling": { "time": 0, "index": 205 }, "Complexity: 2": { "time": -4473, "index": 10 }, "Complexity: 3": { "time": -4106, "index": 32 }, "Complexity: 10": { "time": -3772, "index": 52 }, "Complexity: 32": { "time": -3438, "index": 72 }, "Complexity: 100": { "time": -3105, "index": 92 }, "Complexity: 178": { "time": -2704, "index": 113 }, "Complexity: 316": { "time": -1753, "index": 153 }, "Complexity: 562": { "time": -929, "index": 183 } }, "samples": { "controller": { "fieldMap": { "time": 0, "complexity": 1, "frameLength": 2, "smoothedFrameLength": 3 }, "data": [ [ -4639, 1, 16.66

bgrins

from google.colab import files
langs.to_csv('langs.csv', encoding = 'utf-8-sig')
files.download('langs.csv')

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{
  "url": "https://www.archdaily.com/",
  "client": "mobile",
  "total_elements": "2686",
  "css_variables": [
    "--gray-1",
    "--gray-2",
    "--gray-3",
    "--gray-4",
    "--gray-5",

bgrins

Analysis of news sites for Speedometer using HTTPArchive

• create-dataset.sql is used to create a smaller table with both desktop and mobile results so that analysis is cheaper to run. Takes about 5TB of processing to generate this table. Note that the set of URLs is gathered from external links on the pages beneath https://en.wikipedia.org/wiki/Wikipedia:News_sources. The data may be skewed due to the lists on Wikipedia not reflecting the most popular content, including non-news sites, and including URL paths which are ignored. The list could be swapped out with a different list and have queries re-run.
• query-dataset.sql creates a summary table the first time it runs, and then queries the results of that along with some reporting
• running-the-same-custom-metrics-in-the-ui.js is meant to be used as a "Custom Metric" on the webpagetest UI as per the instructions at https://github.com/HTTPArchive/custom-metrics/tree/8497c859ef0a7c99924981f369bb53eb3441bd6c#testing

The following custom metrics are used to

bgrins

/**!

 @license
 handlebars v4.0.6

Copyright (C) 2011-2016 by Yehuda Katz

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

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var prefs = Services.prefs;
var prefNames = prefs.getChildList("", {});

var prefSizes = {};

for (var i = 0; i < prefNames.length; i++) {
  var prefName = prefNames[i];
  if (prefs.getPrefType(prefName) !== prefs.PREF_STRING) continue;

  prefSizes[prefName] = new Blob([prefs.getStringPref(prefName)]).size;

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var EOL = {}, EOF = {}, QUOTE = 34, NEWLINE = 10, RETURN = 13;
function objectConverter(columns) {
  return new Function("d", "return {" + columns.map(function(name, i) {
    return JSON.stringify(name) + ": d[" + i + '] || ""';
  }).join(",") + "}");
}
function customConverter(columns, f) {
  var object = objectConverter(columns);
  return function(row, i) {
    return f(object(row), i, columns);

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function zoomOnMarkers(marker1, marker2) {
  const zeroAt = selectors.profile.getZeroAt(getState());
  dispatch(actions.commitRange(marker1.start - zeroAt, marker2.start - zeroAt));
}

function resetRange() {
  dispatch(actions.popCommittedRanges(0));
}

function findRanges(suiteName) {

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#!/bin/bash

# First install whisper.cpp:
#   xcode-select --install # if necessary
#   git clone https://github.com/ggerganov/whisper.cpp.git
#   cd whisper.cpp && make && cd models && bash ./download-ggml-model.sh small
# Next, install ffmpeg if necessary (`brew install ffmpeg`)

if [[ ! -f $1 ]]; then
    echo "$1 is not a file."