From 7976439738f89768d9587b1aca64aa8bec47a102 Mon Sep 17 00:00:00 2001
From: vincentsarago <vincent.sarago@gmail.com>
Date: Wed, 29 Mar 2023 12:53:28 +0200
Subject: [PATCH 001/150] Initial commit on orphan branch


From 7e125ba76bd0200791cd59c6d1d9fd1b00dffbc8 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 29 Mar 2023 12:10:07 +0000
Subject: [PATCH 002/150] add TiPg Benchmarks (pytest) benchmark result for
 e29f717adab8ea1a2808f55553b11daddf20237b

---
 dev/bench/data.js    | 228 +++++++++++++++++++++++++++++++++++
 dev/bench/index.html | 281 +++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 509 insertions(+)
 create mode 100644 dev/bench/data.js
 create mode 100644 dev/bench/index.html

diff --git a/dev/bench/data.js b/dev/bench/data.js
new file mode 100644
index 00000000..8f4b587e
--- /dev/null
+++ b/dev/bench/data.js
@@ -0,0 +1,228 @@
+window.BENCHMARK_DATA = {
+  "lastUpdate": 1680091807437,
+  "repoUrl": "https://github.com/developmentseed/tipg",
+  "entries": {
+    "TiPg Benchmarks": [
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "e29f717adab8ea1a2808f55553b11daddf20237b",
+          "message": "fix workflows",
+          "timestamp": "2023-03-29T14:05:05+02:00",
+          "tree_id": "5661b8154a9a1b7ee1e4ea19168b173ffe37db22",
+          "url": "https://github.com/developmentseed/tipg/commit/e29f717adab8ea1a2808f55553b11daddf20237b"
+        },
+        "date": 1680091806353,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 118.0082018689884,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010250192973965593",
+            "extra": "mean: 8.47398726666635 msec\nrounds: 75"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 99.321289355085,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008704120139991101",
+            "extra": "mean: 10.068334860463656 msec\nrounds: 86"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 55.41061239705176,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009701688719146955",
+            "extra": "mean: 18.047084425531583 msec\nrounds: 47"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 37.08427374115463,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001463309792512347",
+            "extra": "mean: 26.965608305556227 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 22.35447412269926,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0013184864647363675",
+            "extra": "mean: 44.73377429999914 msec\nrounds: 10"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 17.606921920788206,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012683114002412151",
+            "extra": "mean: 56.79584452631191 msec\nrounds: 19"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 106.23500645527308,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005594117188969441",
+            "extra": "mean: 9.413093041237953 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 97.40765065037978,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006186203580288776",
+            "extra": "mean: 10.266134059523187 msec\nrounds: 84"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 49.57553734769715,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0020029385014040343",
+            "extra": "mean: 20.17123875000119 msec\nrounds: 48"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 34.91656373936137,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005719925676814658",
+            "extra": "mean: 28.639702562503366 msec\nrounds: 32"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 19.587810414690843,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0026080067610396653",
+            "extra": "mean: 51.0521584000017 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 16.861845855215854,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006369571044138304",
+            "extra": "mean: 59.30548817647217 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 105.88406083327453,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008543003842752834",
+            "extra": "mean: 9.444292107143529 msec\nrounds: 28"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 81.72262538956745,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0017770881034579074",
+            "extra": "mean: 12.236513391891814 msec\nrounds: 74"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 42.288968261118754,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01030246349643128",
+            "extra": "mean: 23.646828975002876 msec\nrounds: 40"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 27.45939602608689,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013479746522896812",
+            "extra": "mean: 36.417406961536344 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 15.00832116355775,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02481847127512793",
+            "extra": "mean: 66.62970422222416 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 11.867857614723183,
+            "unit": "iter/sec",
+            "range": "stddev: 0.029992760279428123",
+            "extra": "mean: 84.26120639999985 msec\nrounds: 15"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.8270173271253698,
+            "unit": "iter/sec",
+            "range": "stddev: 0.033718231008324565",
+            "extra": "mean: 547.3401840000065 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 40.02092627532212,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01904599494907731",
+            "extra": "mean: 24.986927916674045 msec\nrounds: 12"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7271371057846017,
+            "unit": "iter/sec",
+            "range": "stddev: 0.07244467737993869",
+            "extra": "mean: 1.3752564572000097 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 15.044669612123265,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03757916631719832",
+            "extra": "mean: 66.46872452381288 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 7.321588753898889,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009345790360679692",
+            "extra": "mean: 136.58237762500391 msec\nrounds: 8"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 4.566001281411692,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011852401165121212",
+            "extra": "mean: 219.0100130000019 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 140.43875073797872,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009937536067928048",
+            "extra": "mean: 7.120541835819471 msec\nrounds: 67"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 85.51049022870147,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00096071904198087",
+            "extra": "mean: 11.694471606062102 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 177.1214555823443,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0013451801928652677",
+            "extra": "mean: 5.645843394365607 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 139.53942786361188,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00027722906303661606",
+            "extra": "mean: 7.166433282049976 msec\nrounds: 39"
+          }
+        ]
+      }
+    ]
+  }
+}
\ No newline at end of file
diff --git a/dev/bench/index.html b/dev/bench/index.html
new file mode 100644
index 00000000..6c887805
--- /dev/null
+++ b/dev/bench/index.html
@@ -0,0 +1,281 @@
+<!DOCTYPE html>
+<html>
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, minimum-scale=1.0, initial-scale=1, user-scalable=yes" />
+    <style>
+      html {
+        font-family: BlinkMacSystemFont,-apple-system,"Segoe UI",Roboto,Oxygen,Ubuntu,Cantarell,"Fira Sans","Droid Sans","Helvetica Neue",Helvetica,Arial,sans-serif;
+        -webkit-font-smoothing: antialiased;
+        background-color: #fff;
+        font-size: 16px;
+      }
+      body {
+        color: #4a4a4a;
+        margin: 8px;
+        font-size: 1em;
+        font-weight: 400;
+      }
+      header {
+        margin-bottom: 8px;
+        display: flex;
+        flex-direction: column;
+      }
+      main {
+        width: 100%;
+        display: flex;
+        flex-direction: column;
+      }
+      a {
+        color: #3273dc;
+        cursor: pointer;
+        text-decoration: none;
+      }
+      a:hover {
+        color: #000;
+      }
+      button {
+        color: #fff;
+        background-color: #3298dc;
+        border-color: transparent;
+        cursor: pointer;
+        text-align: center;
+      }
+      button:hover {
+        background-color: #2793da;
+        flex: none;
+      }
+      .spacer {
+        flex: auto;
+      }
+      .small {
+        font-size: 0.75rem;
+      }
+      footer {
+        margin-top: 16px;
+        display: flex;
+        align-items: center;
+      }
+      .header-label {
+        margin-right: 4px;
+      }
+      .benchmark-set {
+        margin: 8px 0;
+        width: 100%;
+        display: flex;
+        flex-direction: column;
+      }
+      .benchmark-title {
+        font-size: 3rem;
+        font-weight: 600;
+        word-break: break-word;
+        text-align: center;
+      }
+      .benchmark-graphs {
+        display: flex;
+        flex-direction: row;
+        justify-content: space-around;
+        align-items: center;
+        flex-wrap: wrap;
+        width: 100%;
+      }
+      .benchmark-chart {
+        max-width: 1000px;
+      }
+    </style>
+    <title>Benchmarks</title>
+  </head>
+
+  <body>
+    <header id="header">
+      <div class="header-item">
+        <strong class="header-label">Last Update:</strong>
+        <span id="last-update"></span>
+      </div>
+      <div class="header-item">
+        <strong class="header-label">Repository:</strong>
+        <a id="repository-link" rel="noopener"></a>
+      </div>
+    </header>
+    <main id="main"></main>
+    <footer>
+      <button id="dl-button">Download data as JSON</button>
+      <div class="spacer"></div>
+      <div class="small">Powered by <a rel="noopener" href="https://github.com/marketplace/actions/continuous-benchmark">github-action-benchmark</a></div>
+    </footer>
+
+    <script src="https://cdn.jsdelivr.net/npm/chart.js@2.9.2/dist/Chart.min.js"></script>
+    <script src="data.js"></script>
+    <script id="main-script">
+      'use strict';
+      (function() {
+        // Colors from https://github.com/github/linguist/blob/master/lib/linguist/languages.yml
+        const toolColors = {
+          cargo: '#dea584',
+          go: '#00add8',
+          benchmarkjs: '#f1e05a',
+          benchmarkluau: '#000080',
+          pytest: '#3572a5',
+          googlecpp: '#f34b7d',
+          catch2: '#f34b7d',
+          julia: '#a270ba',
+          jmh: '#b07219',
+          benchmarkdotnet: '#178600',
+          customBiggerIsBetter: '#38ff38',
+          customSmallerIsBetter: '#ff3838',
+          _: '#333333'
+        };
+
+        function init() {
+          function collectBenchesPerTestCase(entries) {
+            const map = new Map();
+            for (const entry of entries) {
+              const {commit, date, tool, benches} = entry;
+              for (const bench of benches) {
+                const result = { commit, date, tool, bench };
+                const arr = map.get(bench.name);
+                if (arr === undefined) {
+                  map.set(bench.name, [result]);
+                } else {
+                  arr.push(result);
+                }
+              }
+            }
+            return map;
+          }
+
+          const data = window.BENCHMARK_DATA;
+
+          // Render header
+          document.getElementById('last-update').textContent = new Date(data.lastUpdate).toString();
+          const repoLink = document.getElementById('repository-link');
+          repoLink.href = data.repoUrl;
+          repoLink.textContent = data.repoUrl;
+
+          // Render footer
+          document.getElementById('dl-button').onclick = () => {
+            const dataUrl = 'data:,' + JSON.stringify(data, null, 2);
+            const a = document.createElement('a');
+            a.href = dataUrl;
+            a.download = 'benchmark_data.json';
+            a.click();
+          };
+
+          // Prepare data points for charts
+          return Object.keys(data.entries).map(name => ({
+            name,
+            dataSet: collectBenchesPerTestCase(data.entries[name]),
+          }));
+        }
+
+        function renderAllChars(dataSets) {
+
+          function renderGraph(parent, name, dataset) {
+            const canvas = document.createElement('canvas');
+            canvas.className = 'benchmark-chart';
+            parent.appendChild(canvas);
+
+            const color = toolColors[dataset.length > 0 ? dataset[0].tool : '_'];
+            const data = {
+              labels: dataset.map(d => d.commit.id.slice(0, 7)),
+              datasets: [
+                {
+                  label: name,
+                  data: dataset.map(d => d.bench.value),
+                  borderColor: color,
+                  backgroundColor: color + '60', // Add alpha for #rrggbbaa
+                }
+              ],
+            };
+            const options = {
+              scales: {
+                xAxes: [
+                  {
+                    scaleLabel: {
+                      display: true,
+                      labelString: 'commit',
+                    },
+                  }
+                ],
+                yAxes: [
+                  {
+                    scaleLabel: {
+                      display: true,
+                      labelString: dataset.length > 0 ? dataset[0].bench.unit : '',
+                    },
+                    ticks: {
+                      beginAtZero: true,
+                    }
+                  }
+                ],
+              },
+              tooltips: {
+                callbacks: {
+                  afterTitle: items => {
+                    const {index} = items[0];
+                    const data = dataset[index];
+                    return '\n' + data.commit.message + '\n\n' + data.commit.timestamp + ' committed by @' + data.commit.committer.username + '\n';
+                  },
+                  label: item => {
+                    let label = item.value;
+                    const { range, unit } = dataset[item.index].bench;
+                    label += ' ' + unit;
+                    if (range) {
+                      label += ' (' + range + ')';
+                    }
+                    return label;
+                  },
+                  afterLabel: item => {
+                    const { extra } = dataset[item.index].bench;
+                    return extra ? '\n' + extra : '';
+                  }
+                }
+              },
+              onClick: (_mouseEvent, activeElems) => {
+                if (activeElems.length === 0) {
+                  return;
+                }
+                // XXX: Undocumented. How can we know the index?
+                const index = activeElems[0]._index;
+                const url = dataset[index].commit.url;
+                window.open(url, '_blank');
+              },
+            };
+
+            new Chart(canvas, {
+              type: 'line',
+              data,
+              options,
+            });
+          }
+
+          function renderBenchSet(name, benchSet, main) {
+            const setElem = document.createElement('div');
+            setElem.className = 'benchmark-set';
+            main.appendChild(setElem);
+
+            const nameElem = document.createElement('h1');
+            nameElem.className = 'benchmark-title';
+            nameElem.textContent = name;
+            setElem.appendChild(nameElem);
+
+            const graphsElem = document.createElement('div');
+            graphsElem.className = 'benchmark-graphs';
+            setElem.appendChild(graphsElem);
+
+            for (const [benchName, benches] of benchSet.entries()) {
+              renderGraph(graphsElem, benchName, benches)
+            }
+          }
+
+          const main = document.getElementById('main');
+          for (const {name, dataSet} of dataSets) {
+            renderBenchSet(name, dataSet, main);
+          }
+        }
+
+        renderAllChars(init()); // Start
+      })();
+    </script>
+  </body>
+</html>

From cdd33ac32d0f724dde9552860fce2e8685a36522 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 30 Mar 2023 22:36:10 +0000
Subject: [PATCH 003/150] add TiPg Benchmarks (pytest) benchmark result for
 e10b29a17ba2ac2727d0b34739eaf5ab95668b5e

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 8f4b587e..22d35e51 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1680091807437,
+  "lastUpdate": 1680215770372,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -222,6 +222,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 7.166433282049976 msec\nrounds: 39"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "e10b29a17ba2ac2727d0b34739eaf5ab95668b5e",
+          "message": "Merge pull request #48 from developmentseed/schemasFiltering\n\nupdate search_path with user schemas",
+          "timestamp": "2023-03-31T00:30:58+02:00",
+          "tree_id": "0a732e64d35d924a0b0b07950fbba7c90c6935f5",
+          "url": "https://github.com/developmentseed/tipg/commit/e10b29a17ba2ac2727d0b34739eaf5ab95668b5e"
+        },
+        "date": 1680215769550,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 149.83142993003838,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00044738546708013267",
+            "extra": "mean: 6.674167098765163 msec\nrounds: 81"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 124.82275726884693,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000766476208559317",
+            "extra": "mean: 8.011359642105731 msec\nrounds: 95"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 70.00187773511385,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004860512090228835",
+            "extra": "mean: 14.285331084745847 msec\nrounds: 59"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 42.38387157250966,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009073785748169244",
+            "extra": "mean: 23.59388047619047 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 25.095457619086297,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011571439008796376",
+            "extra": "mean: 39.847848769231135 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 19.921435058674724,
+            "unit": "iter/sec",
+            "range": "stddev: 0.016338656284690202",
+            "extra": "mean: 50.197186952380385 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 152.48096537224566,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003628161621071373",
+            "extra": "mean: 6.55819562499975 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 121.30087542756948,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004266193185467915",
+            "extra": "mean: 8.243963586207707 msec\nrounds: 87"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 63.168496878747774,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0019235369584782716",
+            "extra": "mean: 15.830675881357518 msec\nrounds: 59"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 42.427949510669734,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009093950720202503",
+            "extra": "mean: 23.56936904878048 msec\nrounds: 41"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 24.114444452553407,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008873628165103074",
+            "extra": "mean: 41.46892133333443 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 20.12755455274277,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001665647873733915",
+            "extra": "mean: 49.68313449999968 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 136.17174525198425,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000916228555298157",
+            "extra": "mean: 7.343667352941034 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 107.96389010288549,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000743550347766999",
+            "extra": "mean: 9.262356136362243 msec\nrounds: 88"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 53.898783192080835,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007928134139689893",
+            "extra": "mean: 18.553294541664656 msec\nrounds: 48"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 30.85763514046069,
+            "unit": "iter/sec",
+            "range": "stddev: 0.015490355642510672",
+            "extra": "mean: 32.40689039999681 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 17.782572099719303,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02250756712241557",
+            "extra": "mean: 56.23483455555819 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 14.28444234615114,
+            "unit": "iter/sec",
+            "range": "stddev: 0.025795424054172705",
+            "extra": "mean: 70.0062330588246 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.9632175925901034,
+            "unit": "iter/sec",
+            "range": "stddev: 0.034615213186040765",
+            "extra": "mean: 509.36788860000206 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 44.117489787657554,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0194095904477744",
+            "extra": "mean: 22.666747469384877 msec\nrounds: 49"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.770830223919836,
+            "unit": "iter/sec",
+            "range": "stddev: 0.06457455021399412",
+            "extra": "mean: 1.2973025303999974 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 16.606066160957,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03907021078847613",
+            "extra": "mean: 60.21895795833506 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.393172213716156,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007173330847099153",
+            "extra": "mean: 119.14446344444072 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.199726437400254,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009031888497934699",
+            "extra": "mean: 192.31780980000508 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 175.9908327301773,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001625491598611007",
+            "extra": "mean: 5.682114144735955 msec\nrounds: 76"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 107.69407670386259,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005135007886483872",
+            "extra": "mean: 9.285561756101055 msec\nrounds: 41"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 230.9563428421142,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009497178191421679",
+            "extra": "mean: 4.329822630953321 msec\nrounds: 84"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 166.70474541287683,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007353257339825508",
+            "extra": "mean: 5.998629478262931 msec\nrounds: 46"
+          }
+        ]
       }
     ]
   }

From c4cef0c8a2ce25cad138787ff1f63292737ffa4b Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Fri, 31 Mar 2023 12:16:05 +0000
Subject: [PATCH 004/150] add TiPg Benchmarks (pytest) benchmark result for
 6eacd39192dcca67849950d508df0ff3f888df0f

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 22d35e51..98faf08b 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1680215770372,
+  "lastUpdate": 1680264965854,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -442,6 +442,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 5.998629478262931 msec\nrounds: 46"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "6eacd39192dcca67849950d508df0ff3f888df0f",
+          "message": "lower case debug",
+          "timestamp": "2023-03-31T14:10:45+02:00",
+          "tree_id": "7d63bf15388ba16474e5d0a4a6cad16b71d7eeff",
+          "url": "https://github.com/developmentseed/tipg/commit/6eacd39192dcca67849950d508df0ff3f888df0f"
+        },
+        "date": 1680264965026,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 135.36916053055117,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003241743907024866",
+            "extra": "mean: 7.387206924241155 msec\nrounds: 66"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 108.79633395963114,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005300079369315051",
+            "extra": "mean: 9.191486179773758 msec\nrounds: 89"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 59.25493746408831,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0014252235739865694",
+            "extra": "mean: 16.876230788464746 msec\nrounds: 52"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 39.25841429804153,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006215509226927669",
+            "extra": "mean: 25.472246342101663 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 22.192509839388887,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007560406457735884",
+            "extra": "mean: 45.06024813043575 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 18.845363428122113,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008206210972177294",
+            "extra": "mean: 53.06345000000073 msec\nrounds: 19"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 127.20497096670728,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015409633385021436",
+            "extra": "mean: 7.861328000001864 msec\nrounds: 105"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 96.69782420624149,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007682395401439497",
+            "extra": "mean: 10.341494322221301 msec\nrounds: 90"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 53.50306396493633,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008338743489624221",
+            "extra": "mean: 18.69051837209469 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 31.467008660605657,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001989317833334391",
+            "extra": "mean: 31.779315625000137 msec\nrounds: 32"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 17.940233851125544,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004367872893699313",
+            "extra": "mean: 55.740633500006545 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 13.790419940343334,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004925856229518223",
+            "extra": "mean: 72.5141079333298 msec\nrounds: 15"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 115.90752668440452,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007341822994150458",
+            "extra": "mean: 8.627567411759388 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 89.38160275865773,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0014065400276655423",
+            "extra": "mean: 11.187984653845753 msec\nrounds: 78"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 43.52755253346471,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008822019699804808",
+            "extra": "mean: 22.973954238092833 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 26.740244078130086,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013622157994962126",
+            "extra": "mean: 37.39681646428445 msec\nrounds: 28"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 14.70797703653384,
+            "unit": "iter/sec",
+            "range": "stddev: 0.019150372356778824",
+            "extra": "mean: 67.99031556250412 msec\nrounds: 16"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 13.971208282997955,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01874566286539766",
+            "extra": "mean: 71.57577066665984 msec\nrounds: 15"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.3352810481807555,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0490570407192477",
+            "extra": "mean: 428.2139833999963 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 49.91667310866622,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01302589949784753",
+            "extra": "mean: 20.033386396225723 msec\nrounds: 53"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8330592696072046,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0742151697777061",
+            "extra": "mean: 1.200394781600005 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 19.2189175649401,
+            "unit": "iter/sec",
+            "range": "stddev: 0.023172735563799472",
+            "extra": "mean: 52.03206666665968 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.46190899063227,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013036624121505684",
+            "extra": "mean: 118.17664325000976 msec\nrounds: 8"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.364557772845492,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011686714412042179",
+            "extra": "mean: 186.40865516666358 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 153.2009725983437,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004432077830637403",
+            "extra": "mean: 6.527373704224194 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 92.44568954403515,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0014751759212340944",
+            "extra": "mean: 10.817162000005037 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 183.0517591949079,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00039666059391524745",
+            "extra": "mean: 5.462935753243599 msec\nrounds: 77"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 118.99522245201128,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0018440128228715004",
+            "extra": "mean: 8.403698731714064 msec\nrounds: 41"
+          }
+        ]
       }
     ]
   }

From 476f34ab28a539ed3a40ab0db6504612ffc825c6 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Fri, 31 Mar 2023 12:23:02 +0000
Subject: [PATCH 005/150] add TiPg Benchmarks (pytest) benchmark result for
 40d06fa9d34c6bb442b651ab713cdf1507ab4c33

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 98faf08b..f4469733 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1680264965854,
+  "lastUpdate": 1680265382800,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -662,6 +662,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 8.403698731714064 msec\nrounds: 41"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "40d06fa9d34c6bb442b651ab713cdf1507ab4c33",
+          "message": "do not fail on benchmark",
+          "timestamp": "2023-03-31T14:17:45+02:00",
+          "tree_id": "77a0e102997fcb2fb37ca6fc84ea5378a51b8234",
+          "url": "https://github.com/developmentseed/tipg/commit/40d06fa9d34c6bb442b651ab713cdf1507ab4c33"
+        },
+        "date": 1680265381315,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 125.54600338600262,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005534306065413059",
+            "extra": "mean: 7.9652077567567705 msec\nrounds: 74"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 103.87918206085797,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007183506585857761",
+            "extra": "mean: 9.626567904762155 msec\nrounds: 84"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 57.4978377192674,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006870639333260266",
+            "extra": "mean: 17.39195837037368 msec\nrounds: 54"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 33.66425101008801,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010299648168483938",
+            "extra": "mean: 29.705101702703402 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 21.011064577339926,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011393311691023035",
+            "extra": "mean: 47.5939710869521 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 17.334422286877597,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013429046550531263",
+            "extra": "mean: 57.68868344444419 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 123.63560406087132,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005582333405128432",
+            "extra": "mean: 8.088284985509963 msec\nrounds: 69"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 96.32741417874722,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009292417528270062",
+            "extra": "mean: 10.381260708860912 msec\nrounds: 79"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 54.84559940520235,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005006036950733302",
+            "extra": "mean: 18.233003392158125 msec\nrounds: 51"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 34.58423131586771,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012104181675179214",
+            "extra": "mean: 28.91491185293994 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 19.439680391669874,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005198452629923723",
+            "extra": "mean: 51.44117495000131 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 15.990419548943072,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005015248642141144",
+            "extra": "mean: 62.5374460588245 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 96.80146314510526,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010104464654259624",
+            "extra": "mean: 10.330422366664038 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 95.4573814999263,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00044119305701100696",
+            "extra": "mean: 10.475879227849678 msec\nrounds: 79"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 45.424929888811306,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0083918769728102",
+            "extra": "mean: 22.01434327907046 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 26.122070686418404,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014837281272681135",
+            "extra": "mean: 38.28180437931086 msec\nrounds: 29"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 15.615207624681,
+            "unit": "iter/sec",
+            "range": "stddev: 0.020730785745105014",
+            "extra": "mean: 64.04013472221948 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 12.185413366768145,
+            "unit": "iter/sec",
+            "range": "stddev: 0.027664035302888707",
+            "extra": "mean: 82.06533253333721 msec\nrounds: 15"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.8745209382906856,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03254965252444936",
+            "extra": "mean: 533.4696346000101 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 38.51599115320708,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0195080680908616",
+            "extra": "mean: 25.96324202127494 msec\nrounds: 47"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7418843123239469,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0768041678924576",
+            "extra": "mean: 1.347919053399994 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 15.044383063604743,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03710022390048018",
+            "extra": "mean: 66.4699905454543 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 7.140342489098245,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010065054753005237",
+            "extra": "mean: 140.04930457142402 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 4.57485714818712,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010423231515192349",
+            "extra": "mean: 218.58606019999343 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 151.59280296942933,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002546645962413747",
+            "extra": "mean: 6.596619235292214 msec\nrounds: 68"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 92.67564885232879,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022669056676311565",
+            "extra": "mean: 10.79032100000098 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 189.37024608147948,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004580560108379243",
+            "extra": "mean: 5.280660614285385 msec\nrounds: 70"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 125.93904916162263,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0028842063745373745",
+            "extra": "mean: 7.940348975611685 msec\nrounds: 41"
+          }
+        ]
       }
     ]
   }

From 217e1636dc5ca3159c62df40fc7ef1f16064c78d Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Fri, 31 Mar 2023 12:51:20 +0000
Subject: [PATCH 006/150] add TiPg Benchmarks (pytest) benchmark result for
 ffc44c2e1e0ab2363cb2a30b164d490a96954733

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index f4469733..2ceb9b26 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1680265382800,
+  "lastUpdate": 1680267080016,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -882,6 +882,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 7.940348975611685 msec\nrounds: 41"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "ffc44c2e1e0ab2363cb2a30b164d490a96954733",
+          "message": "Merge pull request #51 from developmentseed/moveToRuff\n\nuse ruff for linting",
+          "timestamp": "2023-03-31T14:46:04+02:00",
+          "tree_id": "eaed05fc5166fbc6057f8e72af121240d75c0843",
+          "url": "https://github.com/developmentseed/tipg/commit/ffc44c2e1e0ab2363cb2a30b164d490a96954733"
+        },
+        "date": 1680267079492,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 145.40767130886678,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006643622577483739",
+            "extra": "mean: 6.877216250000018 msec\nrounds: 80"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 125.21161295405794,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000326042686570854",
+            "extra": "mean: 7.986479659573711 msec\nrounds: 94"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 66.09309498680756,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00048232307380480623",
+            "extra": "mean: 15.130173586206002 msec\nrounds: 58"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 40.57493704262507,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008140453347587631",
+            "extra": "mean: 24.645756047618086 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 24.18528346435896,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012744079435026737",
+            "extra": "mean: 41.34745832000135 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 20.62387567652697,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011225075718005146",
+            "extra": "mean: 48.48749166666808 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 149.30851277842967,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002489922799927745",
+            "extra": "mean: 6.697541763636589 msec\nrounds: 110"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 122.75774530181775,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00023263665932234624",
+            "extra": "mean: 8.146125505493398 msec\nrounds: 91"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 65.865632950928,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008145991362448422",
+            "extra": "mean: 15.18242450877276 msec\nrounds: 57"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 41.68076197818887,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004607466676240322",
+            "extra": "mean: 23.991883846156416 msec\nrounds: 39"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 23.583389542295876,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004254088795755799",
+            "extra": "mean: 42.40272579166534 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 19.57841159201109,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007133568453753574",
+            "extra": "mean: 51.07666652631038 msec\nrounds: 19"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 144.15498311465814,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003563074809292577",
+            "extra": "mean: 6.936978371428332 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 108.08859332261207,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005690448301376527",
+            "extra": "mean: 9.251670035295026 msec\nrounds: 85"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 52.1200074725334,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00822572086854337",
+            "extra": "mean: 19.186489958332942 msec\nrounds: 48"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 30.86769127379969,
+            "unit": "iter/sec",
+            "range": "stddev: 0.015859546232653513",
+            "extra": "mean: 32.39633282353041 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 16.91081286337251,
+            "unit": "iter/sec",
+            "range": "stddev: 0.024719371372768154",
+            "extra": "mean: 59.13376299999874 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 13.969258415062857,
+            "unit": "iter/sec",
+            "range": "stddev: 0.027238828397971104",
+            "extra": "mean: 71.58576141176643 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.9609493795232766,
+            "unit": "iter/sec",
+            "range": "stddev: 0.036374444997135866",
+            "extra": "mean: 509.9570699999958 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 41.410488708187124,
+            "unit": "iter/sec",
+            "range": "stddev: 0.021519537903115366",
+            "extra": "mean: 24.148471346156644 msec\nrounds: 52"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7770953314488813,
+            "unit": "iter/sec",
+            "range": "stddev: 0.07017552454911402",
+            "extra": "mean: 1.2868434020000052 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 16.58301924221427,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03773195333183504",
+            "extra": "mean: 60.30264968000324 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.533801294125421,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007995027385089695",
+            "extra": "mean: 117.18107388888812 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.321421711609184,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011149226657705581",
+            "extra": "mean: 187.91970533333333 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 173.01166655228468,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006417587243271343",
+            "extra": "mean: 5.779957039473964 msec\nrounds: 76"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 109.41205048949648,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002047885988697827",
+            "extra": "mean: 9.13976107317356 msec\nrounds: 41"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 229.6120954008542,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019248281243205274",
+            "extra": "mean: 4.355171265059932 msec\nrounds: 83"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 168.06880811378278,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016759893915836886",
+            "extra": "mean: 5.949944021278468 msec\nrounds: 47"
+          }
+        ]
       }
     ]
   }

From e54764816d4b6b29545cb85a12aa64449ddd3558 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 5 Apr 2023 08:28:18 +0000
Subject: [PATCH 007/150] add TiPg Benchmarks (pytest) benchmark result for
 497ae966d67efa0c5abf28370d709c7f58411530

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 2ceb9b26..0cb489ef 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1680267080016,
+  "lastUpdate": 1680683298662,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -1102,6 +1102,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 5.949944021278468 msec\nrounds: 47"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "497ae966d67efa0c5abf28370d709c7f58411530",
+          "message": "more docs",
+          "timestamp": "2023-04-05T10:22:08+02:00",
+          "tree_id": "2f2cb668d007edd77dbd54a327b52dd939c6c580",
+          "url": "https://github.com/developmentseed/tipg/commit/497ae966d67efa0c5abf28370d709c7f58411530"
+        },
+        "date": 1680683297438,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 165.09925088585013,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017787083003509296",
+            "extra": "mean: 6.0569626732673765 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 134.07108908914458,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002518678822478075",
+            "extra": "mean: 7.458729594827821 msec\nrounds: 116"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 70.66539471710401,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007109046074236426",
+            "extra": "mean: 14.151198107692135 msec\nrounds: 65"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 44.420132229225466,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005217078345990565",
+            "extra": "mean: 22.512314795453648 msec\nrounds: 44"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 26.037249952487848,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006400309030207377",
+            "extra": "mean: 38.4065138148144 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 20.868341200923854,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009987869815239157",
+            "extra": "mean: 47.919477181814976 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 163.63955778586427,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016329621152122372",
+            "extra": "mean: 6.110991825757569 msec\nrounds: 132"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 131.1930729152971,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003120125510873538",
+            "extra": "mean: 7.62235366379165 msec\nrounds: 116"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 71.60864079875908,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000344677139961757",
+            "extra": "mean: 13.964795153845863 msec\nrounds: 65"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 45.64158594681565,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00025518064133823695",
+            "extra": "mean: 21.909843386363935 msec\nrounds: 44"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 26.396681677208864,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003874527154851811",
+            "extra": "mean: 37.8835496153825 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 21.76806936220387,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003560273977030228",
+            "extra": "mean: 45.93884663636319 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 153.2246603558945,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016827120746758053",
+            "extra": "mean: 6.526364605261991 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 118.19644429495226,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002484676303929392",
+            "extra": "mean: 8.460491396040299 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 55.18865551537628,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007039632692217715",
+            "extra": "mean: 18.119665910712154 msec\nrounds: 56"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 34.248815907353105,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009509365449014597",
+            "extra": "mean: 29.198089729732914 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 18.590116433934753,
+            "unit": "iter/sec",
+            "range": "stddev: 0.015715995407586215",
+            "extra": "mean: 53.792024571432 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 15.367751733301706,
+            "unit": "iter/sec",
+            "range": "stddev: 0.017177517461327747",
+            "extra": "mean: 65.0713271111098 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.666156233544111,
+            "unit": "iter/sec",
+            "range": "stddev: 0.020153253885890503",
+            "extra": "mean: 375.0717934000079 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 54.64719935620456,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012081718582486025",
+            "extra": "mean: 18.299199442623614 msec\nrounds: 61"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.9776041312827934,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04574392992769722",
+            "extra": "mean: 1.0229089342000008 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 20.581337473996456,
+            "unit": "iter/sec",
+            "range": "stddev: 0.024194670162177388",
+            "extra": "mean: 48.58770725000028 msec\nrounds: 28"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.986376464565426,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00833168729983661",
+            "extra": "mean: 111.27955788889368 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.410712739410044,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011076794259795504",
+            "extra": "mean: 184.8185346666611 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 190.78769836929177,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011049905857360049",
+            "extra": "mean: 5.24142808235143 msec\nrounds: 85"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 113.78659250097914,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014100462375334094",
+            "extra": "mean: 8.788381636363662 msec\nrounds: 44"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 243.78075029190063,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001241654273002228",
+            "extra": "mean: 4.102046608694944 msec\nrounds: 92"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 178.63782667542912,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010872871720255214",
+            "extra": "mean: 5.5979185294104665 msec\nrounds: 51"
+          }
+        ]
       }
     ]
   }

From 78f9edd687ce7696b74af600bade1ae26fdbf65e Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 5 Apr 2023 12:24:35 +0000
Subject: [PATCH 008/150] add TiPg Benchmarks (pytest) benchmark result for
 b0b14ce5ce67a7bb3bb7770fe3876937dea41244

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 0cb489ef..8a7d9eeb 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1680683298662,
+  "lastUpdate": 1680697475002,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -1322,6 +1322,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 5.5979185294104665 msec\nrounds: 51"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "b0b14ce5ce67a7bb3bb7770fe3876937dea41244",
+          "message": "Merge pull request #56 from developmentseed/optionalViewer\n\nadd option to add/remove viewer in tiles endpoints",
+          "timestamp": "2023-04-05T14:19:07+02:00",
+          "tree_id": "f9c5bb659ab5769fd62df841dab18f6897df1f14",
+          "url": "https://github.com/developmentseed/tipg/commit/b0b14ce5ce67a7bb3bb7770fe3876937dea41244"
+        },
+        "date": 1680697474178,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 160.03803745278768,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017148577798210466",
+            "extra": "mean: 6.2485145151508545 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 126.03420787386267,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002815988306234652",
+            "extra": "mean: 7.9343538303570575 msec\nrounds: 112"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 69.28631437015456,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005424004849661028",
+            "extra": "mean: 14.432864687499602 msec\nrounds: 64"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 42.26167988435677,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0059376420812161075",
+            "extra": "mean: 23.662097738101313 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 25.454082225848147,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007255127693026856",
+            "extra": "mean: 39.286429230770636 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 20.31809754929217,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011040865202416176",
+            "extra": "mean: 49.21720636363602 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 161.4363998442425,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020016100824970522",
+            "extra": "mean: 6.194389870963567 msec\nrounds: 124"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 124.9424879789329,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005768780115140421",
+            "extra": "mean: 8.003682463635702 msec\nrounds: 110"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 69.49495725503863,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005753616476966924",
+            "extra": "mean: 14.389533276927033 msec\nrounds: 65"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 43.35046033737805,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001016849611032072",
+            "extra": "mean: 23.06780579069815 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 24.949296891190095,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0024980947117468526",
+            "extra": "mean: 40.081289839999954 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 20.83717117644049,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0013873498254948365",
+            "extra": "mean: 47.991159238095065 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 150.84312869878235,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002573220968055478",
+            "extra": "mean: 6.629403729730995 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 114.46855287751347,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003655865827099091",
+            "extra": "mean: 8.736023779998732 msec\nrounds: 100"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 54.20824474836035,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00549894657792827",
+            "extra": "mean: 18.447378339625125 msec\nrounds: 53"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 32.51027035434418,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010560316484784246",
+            "extra": "mean: 30.75951042856754 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 18.281118592179773,
+            "unit": "iter/sec",
+            "range": "stddev: 0.017088445272939325",
+            "extra": "mean: 54.70124789999318 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 14.45697067345716,
+            "unit": "iter/sec",
+            "range": "stddev: 0.021670762749163148",
+            "extra": "mean: 69.17078429411143 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.3344969673932945,
+            "unit": "iter/sec",
+            "range": "stddev: 0.023572908959834",
+            "extra": "mean: 428.3578063999812 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 49.119869912373055,
+            "unit": "iter/sec",
+            "range": "stddev: 0.015033897427123438",
+            "extra": "mean: 20.358360105267803 msec\nrounds: 57"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.9046130061244777,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03787919507527348",
+            "extra": "mean: 1.1054450834000022 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 17.994010001360767,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03121344034119962",
+            "extra": "mean: 55.57404936000239 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.720154088145838,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009994890094252867",
+            "extra": "mean: 114.67687266666518 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.3512445281302705,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01321545624432471",
+            "extra": "mean: 186.8724172000043 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 182.18084861502194,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008747604133700936",
+            "extra": "mean: 5.489051168672314 msec\nrounds: 83"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 108.40890923885064,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010724271630052921",
+            "extra": "mean: 9.22433411627417 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 233.8830451224293,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006247658524214026",
+            "extra": "mean: 4.2756412696633745 msec\nrounds: 89"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 169.6166680263919,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010382835453139293",
+            "extra": "mean: 5.895647000001218 msec\nrounds: 49"
+          }
+        ]
       }
     ]
   }

From 5329733305d9f0056635099fd648e7eaa35d8e06 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 11 Apr 2023 19:32:11 +0000
Subject: [PATCH 009/150] add TiPg Benchmarks (pytest) benchmark result for
 f76e299b2c19118011d444d61b9a371c55306067

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 8a7d9eeb..bb974789 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1680697475002,
+  "lastUpdate": 1681241531493,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -1542,6 +1542,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 5.895647000001218 msec\nrounds: 49"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "f76e299b2c19118011d444d61b9a371c55306067",
+          "message": "Merge pull request #58 from developmentseed/defaultLimit\n\nadd setting to set Limit value",
+          "timestamp": "2023-04-11T21:27:17+02:00",
+          "tree_id": "914e583214a3c9398348e52d229fddb69ee9dc77",
+          "url": "https://github.com/developmentseed/tipg/commit/f76e299b2c19118011d444d61b9a371c55306067"
+        },
+        "date": 1681241530743,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 131.49129893556162,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003817692047662113",
+            "extra": "mean: 7.60506594805226 msec\nrounds: 77"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 106.24287880262284,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00037171800291851183",
+            "extra": "mean: 9.412395553190835 msec\nrounds: 94"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 62.578550864192046,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00036032639382739746",
+            "extra": "mean: 15.979916220338813 msec\nrounds: 59"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 38.954887086381696,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010694972407599465",
+            "extra": "mean: 25.670720025000193 msec\nrounds: 40"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 23.92529640480268,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01309786692804454",
+            "extra": "mean: 41.79676536000045 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 20.071299203172323,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01372767242721669",
+            "extra": "mean: 49.822385181819584 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 122.59251390939745,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005988458777823773",
+            "extra": "mean: 8.15710493333267 msec\nrounds: 105"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 95.80474209899396,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007091666126491496",
+            "extra": "mean: 10.437896685392788 msec\nrounds: 89"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 57.41001105582679,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001889809889172382",
+            "extra": "mean: 17.418564839285214 msec\nrounds: 56"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 38.44306274075012,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000609198526573985",
+            "extra": "mean: 26.012495589743622 msec\nrounds: 39"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 22.971793164890865,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006340217025318299",
+            "extra": "mean: 43.531647391304155 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 18.628908582906746,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0034351123455314448",
+            "extra": "mean: 53.68001005263218 msec\nrounds: 19"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 119.93613858557869,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00041582042444175763",
+            "extra": "mean: 8.337770515151815 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 92.98096925053365,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000592212962873876",
+            "extra": "mean: 10.754888963412915 msec\nrounds: 82"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 47.258092692471145,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010384859995323455",
+            "extra": "mean: 21.16039693999994 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 28.59851961711502,
+            "unit": "iter/sec",
+            "range": "stddev: 0.018901041551780642",
+            "extra": "mean: 34.96684490624968 msec\nrounds: 32"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 15.707089076113506,
+            "unit": "iter/sec",
+            "range": "stddev: 0.030176030319305134",
+            "extra": "mean: 63.66552040000499 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 12.93346758150934,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03271774107667883",
+            "extra": "mean: 77.31878505882484 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.794969246513677,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04149255983587481",
+            "extra": "mean: 557.1126090000007 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 40.08752881011599,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02243612603507894",
+            "extra": "mean: 24.945413939999526 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7465421954594689,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0851001425596208",
+            "extra": "mean: 1.3395090138 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 15.280524121264932,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04381606183111969",
+            "extra": "mean: 65.44278141666382 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.357193512554852,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009295485267176523",
+            "extra": "mean: 119.65739437500389 msec\nrounds: 8"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.132977049015949,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010380908646376637",
+            "extra": "mean: 194.81871640001032 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 156.40852782208998,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00030934900478106454",
+            "extra": "mean: 6.393513281689282 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 98.79076531585956,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022000506086604837",
+            "extra": "mean: 10.122403615385931 msec\nrounds: 39"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 213.15866289780277,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002877245400175171",
+            "extra": "mean: 4.691341118420517 msec\nrounds: 76"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 161.85585273134944,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003618032142373158",
+            "extra": "mean: 6.1783369777787005 msec\nrounds: 45"
+          }
+        ]
       }
     ]
   }

From f7d11fe2c25b14b50b53326a2e085af93696c6d2 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 17 Apr 2023 15:29:36 +0000
Subject: [PATCH 010/150] add TiPg Benchmarks (pytest) benchmark result for
 90367414922915c61c5316007ca7ba939adf92fe

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index bb974789..80952aaa 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1681241531493,
+  "lastUpdate": 1681745376785,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -1762,6 +1762,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 6.1783369777787005 msec\nrounds: 45"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "90367414922915c61c5316007ca7ba939adf92fe",
+          "message": "Merge pull request #64 from developmentseed/ZXYTileParam\n\nswitch to z/x/y tile parameter",
+          "timestamp": "2023-04-17T17:24:18+02:00",
+          "tree_id": "45e3aa23a2e289628a53cf5c32926f7570f62616",
+          "url": "https://github.com/developmentseed/tipg/commit/90367414922915c61c5316007ca7ba939adf92fe"
+        },
+        "date": 1681745375864,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 129.54008781300524,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000556411535052732",
+            "extra": "mean: 7.7196180493835085 msec\nrounds: 81"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 104.29701884196028,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007498740427345674",
+            "extra": "mean: 9.588001757895737 msec\nrounds: 95"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 57.19430367042147,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009130721843920735",
+            "extra": "mean: 17.48425867307409 msec\nrounds: 52"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 38.654135948561006,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006118454260845988",
+            "extra": "mean: 25.870452810813052 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 21.866040588649824,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008369606514621267",
+            "extra": "mean: 45.733016727275164 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 17.809051280932643,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010209355905891641",
+            "extra": "mean: 56.15122244443506 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 118.59046769687062,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012297447856058305",
+            "extra": "mean: 8.432380944445741 msec\nrounds: 90"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 89.29641729847962,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006555446742973447",
+            "extra": "mean: 11.198657575000226 msec\nrounds: 80"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 49.04707634883127,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00165569980525932",
+            "extra": "mean: 20.388575108694095 msec\nrounds: 46"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 31.177701443545036,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009918951453890478",
+            "extra": "mean: 32.07420539999551 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 17.380730247403463,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0019568916545398556",
+            "extra": "mean: 57.53498188888765 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 14.321476034334433,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0035890006374932953",
+            "extra": "mean: 69.82520500000078 msec\nrounds: 15"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 123.33403379812897,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003414557936371331",
+            "extra": "mean: 8.108062058821353 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 95.08435142333038,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006018238989495988",
+            "extra": "mean: 10.516977662789579 msec\nrounds: 86"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 46.629421321773,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005771478231076355",
+            "extra": "mean: 21.445687543479398 msec\nrounds: 46"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 26.476269266476702,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01227754782052829",
+            "extra": "mean: 37.7696717741938 msec\nrounds: 31"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 14.894526471203704,
+            "unit": "iter/sec",
+            "range": "stddev: 0.021123830942843005",
+            "extra": "mean: 67.13875744444427 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 11.209168929207172,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0252137336244316",
+            "extra": "mean: 89.21267993333117 msec\nrounds: 15"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.9895635795078035,
+            "unit": "iter/sec",
+            "range": "stddev: 0.08862058712976777",
+            "extra": "mean: 502.622791400006 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 40.28823134173244,
+            "unit": "iter/sec",
+            "range": "stddev: 0.016890960147912498",
+            "extra": "mean: 24.821144207543135 msec\nrounds: 53"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7459609658546699,
+            "unit": "iter/sec",
+            "range": "stddev: 0.055624868809794364",
+            "extra": "mean: 1.340552717600002 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 16.02102583827826,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03835258580508514",
+            "extra": "mean: 62.4179756086997 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 7.255362472866708,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01469062984580117",
+            "extra": "mean: 137.82908899999921 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 4.397163214124103,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013818472719960307",
+            "extra": "mean: 227.4193499999967 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 130.9858868303602,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0036603320530067098",
+            "extra": "mean: 7.63441027272732 msec\nrounds: 66"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 82.70507096753097,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001541380334902618",
+            "extra": "mean: 12.09115702702907 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 154.9162008303938,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015901696890456148",
+            "extra": "mean: 6.4551027887317325 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 115.87212915961796,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0013507343664752054",
+            "extra": "mean: 8.630203028568367 msec\nrounds: 35"
+          }
+        ]
       }
     ]
   }

From bd7aaea1c95353731d1d6a2169a7e189a8a501dd Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 17 Apr 2023 20:06:32 +0000
Subject: [PATCH 011/150] add TiPg Benchmarks (pytest) benchmark result for
 71af728ca44ee623d9168c1be8bdf300b3215eb1

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 80952aaa..62849f37 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1681745376785,
+  "lastUpdate": 1681761992360,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -1982,6 +1982,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 8.630203028568367 msec\nrounds: 35"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "71af728ca44ee623d9168c1be8bdf300b3215eb1",
+          "message": "Merge pull request #62 from developmentseed/StyleJSON\n\nadd styleJSON and update TileJSON",
+          "timestamp": "2023-04-17T22:00:53+02:00",
+          "tree_id": "ebce5ab55442d7c5bf1b3c5fa8d2624b8f94a85f",
+          "url": "https://github.com/developmentseed/tipg/commit/71af728ca44ee623d9168c1be8bdf300b3215eb1"
+        },
+        "date": 1681761991528,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 164.69606548886574,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017464884054315758",
+            "extra": "mean: 6.07179046464595 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 134.9786713985315,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003267911383281764",
+            "extra": "mean: 7.408577885964282 msec\nrounds: 114"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 71.0611268417631,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008204202957512043",
+            "extra": "mean: 14.072391537313667 msec\nrounds: 67"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 44.34804497861987,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005161353554336072",
+            "extra": "mean: 22.548908311112665 msec\nrounds: 45"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 25.734147231085228,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007401142885741504",
+            "extra": "mean: 38.85887459259047 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 20.551533508349063,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011780827873424224",
+            "extra": "mean: 48.65816945454459 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 164.19571405596466,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001776949828357601",
+            "extra": "mean: 6.09029295161236 msec\nrounds: 124"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 130.96890767497624,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007148183110146704",
+            "extra": "mean: 7.63540001785528 msec\nrounds: 112"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 71.16132108248526,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00024893017074350155",
+            "extra": "mean: 14.052577787880995 msec\nrounds: 66"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 44.321360887257406,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00029724503013487595",
+            "extra": "mean: 22.562484093025777 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 24.96841730490239,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0028259210856809917",
+            "extra": "mean: 40.05059623076936 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 20.844287792364533,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000982482284344418",
+            "extra": "mean: 47.974774190476765 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 152.85597761062508,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00024047046405841215",
+            "extra": "mean: 6.542105945946922 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 115.41838194300476,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003129197739814942",
+            "extra": "mean: 8.664131164945756 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 54.05443522414682,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007873459759123175",
+            "extra": "mean: 18.499869545455674 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 33.27817210082061,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010557798353030938",
+            "extra": "mean: 30.049727400001657 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 18.219563580703664,
+            "unit": "iter/sec",
+            "range": "stddev: 0.017332821660069084",
+            "extra": "mean: 54.88605671428375 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 14.930167382791801,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0197369384749943",
+            "extra": "mean: 66.97848552941069 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.516980117971832,
+            "unit": "iter/sec",
+            "range": "stddev: 0.025279438201008492",
+            "extra": "mean: 397.30150940000044 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 54.24939798798695,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01256164907550356",
+            "extra": "mean: 18.433384278687132 msec\nrounds: 61"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.9180544321887046,
+            "unit": "iter/sec",
+            "range": "stddev: 0.05497794172463161",
+            "extra": "mean: 1.0892600318000007 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 18.92243976142231,
+            "unit": "iter/sec",
+            "range": "stddev: 0.028713311189646106",
+            "extra": "mean: 52.84730788461681 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.877383256585485,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008141993646228316",
+            "extra": "mean: 112.64580688889068 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.3913558768427885,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010671935758137102",
+            "extra": "mean: 185.48209816666864 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 192.20263781327935,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011517284062357569",
+            "extra": "mean: 5.20284222618983 msec\nrounds: 84"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 114.05414859091539,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019166582387611614",
+            "extra": "mean: 8.767765244443302 msec\nrounds: 45"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 250.047893582072,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010733267398971271",
+            "extra": "mean: 3.999233849461623 msec\nrounds: 93"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 181.4377085604089,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013532270033072085",
+            "extra": "mean: 5.511533450980805 msec\nrounds: 51"
+          }
+        ]
       }
     ]
   }

From 685009c94a39029142db01c49d4009edbafa3373 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 25 Apr 2023 09:40:36 +0000
Subject: [PATCH 012/150] add TiPg Benchmarks (pytest) benchmark result for
 2bc89d378a13a114d7b51d9259e9d33a5592425d

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 62849f37..acbfdfeb 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1681761992360,
+  "lastUpdate": 1682415636752,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -2202,6 +2202,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 5.511533450980805 msec\nrounds: 51"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "2bc89d378a13a114d7b51d9259e9d33a5592425d",
+          "message": "add flake8 rules in ruff",
+          "timestamp": "2023-04-25T11:34:47+02:00",
+          "tree_id": "7d79ecef5526a9b2bc0815aa3443187027773846",
+          "url": "https://github.com/developmentseed/tipg/commit/2bc89d378a13a114d7b51d9259e9d33a5592425d"
+        },
+        "date": 1682415635515,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 102.11619754079658,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0023068281960068526",
+            "extra": "mean: 9.792765732395086 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 88.35545056592957,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0023956166360289753",
+            "extra": "mean: 11.317920893333167 msec\nrounds: 75"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 49.91612608015937,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0024505127681605696",
+            "extra": "mean: 20.03360594117658 msec\nrounds: 51"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 32.33073366817088,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01017586791114495",
+            "extra": "mean: 30.930321911763016 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 20.162089256982558,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012917474171222505",
+            "extra": "mean: 49.59803457142611 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 16.152204259504412,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01674162875833528",
+            "extra": "mean: 61.91105461111116 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 103.99944891013786,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0027412178594636524",
+            "extra": "mean: 9.615435567010204 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 84.54861727272049,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002355704165495119",
+            "extra": "mean: 11.827514538462461 msec\nrounds: 78"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 46.568534508462996,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00263600959473951",
+            "extra": "mean: 21.473727068183088 msec\nrounds: 44"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 29.42566908831591,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004371462468378489",
+            "extra": "mean: 33.98393412903128 msec\nrounds: 31"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 17.88522445968152,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004744482077597684",
+            "extra": "mean: 55.91207436363406 msec\nrounds: 11"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 16.320070745221503,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012503959443431753",
+            "extra": "mean: 61.27424418750138 msec\nrounds: 16"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 104.2527420883626,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012028248646682468",
+            "extra": "mean: 9.592073838714185 msec\nrounds: 31"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 77.86560563878312,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0018740964408632476",
+            "extra": "mean: 12.842640749999154 msec\nrounds: 60"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 36.343875082539796,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011654930998737769",
+            "extra": "mean: 27.514952594595965 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 22.632638280153003,
+            "unit": "iter/sec",
+            "range": "stddev: 0.021427470028505487",
+            "extra": "mean: 44.18397836000054 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 14.169594813435136,
+            "unit": "iter/sec",
+            "range": "stddev: 0.023565547737541062",
+            "extra": "mean: 70.57364823529277 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 11.57150590002389,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02985792560302432",
+            "extra": "mean: 86.41917557142976 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.6987906281318046,
+            "unit": "iter/sec",
+            "range": "stddev: 0.044737326059010964",
+            "extra": "mean: 588.6540598000124 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 35.59180161357398,
+            "unit": "iter/sec",
+            "range": "stddev: 0.022745510286580936",
+            "extra": "mean: 28.096358000001345 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.6754491506591249,
+            "unit": "iter/sec",
+            "range": "stddev: 0.08892341579006316",
+            "extra": "mean: 1.4804963468000039 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 13.044678562340854,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04429871004099751",
+            "extra": "mean: 76.6596122105251 msec\nrounds: 19"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 7.335602878042117,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013668695219195686",
+            "extra": "mean: 136.3214471428559 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 4.027162755298789,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013534394555170576",
+            "extra": "mean: 248.31377840000073 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 138.6274807654689,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010199591055211979",
+            "extra": "mean: 7.213576950819788 msec\nrounds: 61"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 79.8225016143325,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001275334367216195",
+            "extra": "mean: 12.527795794117852 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 184.5216698012596,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006532039534955849",
+            "extra": "mean: 5.419417681820553 msec\nrounds: 66"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 118.41073196176933,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003334650454515933",
+            "extra": "mean: 8.445180461538444 msec\nrounds: 39"
+          }
+        ]
       }
     ]
   }

From 9a4ac4ff77b81a6908ac7a7e8fa407bc97af424a Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 10 May 2023 19:54:25 +0000
Subject: [PATCH 013/150] add TiPg Benchmarks (pytest) benchmark result for
 a788f2a53ec6e312baf1eace97f0afc6d6e6a6af

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index acbfdfeb..aed68495 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1682415636752,
+  "lastUpdate": 1683748465797,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -2422,6 +2422,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 8.445180461538444 msec\nrounds: 39"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "bitner@dbspatial.com",
+            "name": "David Bitner",
+            "username": "bitner"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "a788f2a53ec6e312baf1eace97f0afc6d6e6a6af",
+          "message": "Merge pull request #68 from developmentseed/catalogttlbg\n\napproach using background tasks",
+          "timestamp": "2023-05-10T10:44:57-05:00",
+          "tree_id": "d947d29eaf99c93a4cb69ff70b89c04dd3abbc41",
+          "url": "https://github.com/developmentseed/tipg/commit/a788f2a53ec6e312baf1eace97f0afc6d6e6a6af"
+        },
+        "date": 1683748465315,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 159.36923717302193,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019918729043696132",
+            "extra": "mean: 6.274736691588308 msec\nrounds: 107"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 122.88623685709406,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00041009175819649144",
+            "extra": "mean: 8.13760780357293 msec\nrounds: 112"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 68.66999630692605,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002321941454844405",
+            "extra": "mean: 14.562400666666994 msec\nrounds: 66"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 43.32610600712485,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005716236122057628",
+            "extra": "mean: 23.080772590907504 msec\nrounds: 44"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 25.63023102988637,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007211380595777783",
+            "extra": "mean: 39.01642551851915 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 20.595620688202658,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01137209298402693",
+            "extra": "mean: 48.5540113181832 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 149.51457377832813,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003987760768803209",
+            "extra": "mean: 6.688311210936604 msec\nrounds: 128"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 121.86891683685738,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005267843536226381",
+            "extra": "mean: 8.205537769230139 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 66.28668068635163,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00039171515926383514",
+            "extra": "mean: 15.085986953121022 msec\nrounds: 64"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 43.52680858111258,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00039642235012024086",
+            "extra": "mean: 22.974346904769998 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 25.478225788483925,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005561887111347993",
+            "extra": "mean: 39.2492008000022 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 21.155358862743906,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00038910029860423284",
+            "extra": "mean: 47.269347047620705 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 151.79305837373602,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022361024803677464",
+            "extra": "mean: 6.5879165405433655 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 113.79922981099698,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00037840239800938084",
+            "extra": "mean: 8.787405693877245 msec\nrounds: 98"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 54.22269929540038,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0060789716269368695",
+            "extra": "mean: 18.442460685184447 msec\nrounds: 54"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 32.255828367058704,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01274687300400388",
+            "extra": "mean: 31.002149088232713 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 18.365555446305613,
+            "unit": "iter/sec",
+            "range": "stddev: 0.017591904159545018",
+            "extra": "mean: 54.4497553000042 msec\nrounds: 10"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 14.685000054205654,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02054960782058258",
+            "extra": "mean: 68.09669705882015 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.343264195565453,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03127039988751465",
+            "extra": "mean: 426.7551229999867 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 49.887252402724506,
+            "unit": "iter/sec",
+            "range": "stddev: 0.015024683620658055",
+            "extra": "mean: 20.04520096491397 msec\nrounds: 57"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.9017251199034613,
+            "unit": "iter/sec",
+            "range": "stddev: 0.052812309572735534",
+            "extra": "mean: 1.1089854080000123 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 19.292791405259926,
+            "unit": "iter/sec",
+            "range": "stddev: 0.027981952799247527",
+            "extra": "mean: 51.832831185194024 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 9.01823255756428,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008877062989635155",
+            "extra": "mean: 110.88647288888372 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.356098953456716,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009785616751578066",
+            "extra": "mean: 186.70304800000395 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 193.83163109270447,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001248582163257391",
+            "extra": "mean: 5.159116674417948 msec\nrounds: 86"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 110.58294712889892,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003091303894342151",
+            "extra": "mean: 9.042985613635064 msec\nrounds: 44"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 245.67547451218988,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015997872361975693",
+            "extra": "mean: 4.070410373626376 msec\nrounds: 91"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 177.42557869899738,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020671824796528643",
+            "extra": "mean: 5.6361659200024405 msec\nrounds: 50"
+          }
+        ]
       }
     ]
   }

From f61d72a0fff8a70b8411e6945d1450e3e807ee1f Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 8 Jun 2023 19:22:55 +0000
Subject: [PATCH 014/150] add TiPg Benchmarks (pytest) benchmark result for
 e06f60a9d00e06231c45bd7e9d98f666d1833497

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index aed68495..87fed287 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1683748465797,
+  "lastUpdate": 1686252175736,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -2642,6 +2642,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 5.6361659200024405 msec\nrounds: 50"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "e06f60a9d00e06231c45bd7e9d98f666d1833497",
+          "message": "publish tipg:uvicorn",
+          "timestamp": "2023-06-08T21:16:52+02:00",
+          "tree_id": "45e1348f27fe904df30d4609e94d4218c568a323",
+          "url": "https://github.com/developmentseed/tipg/commit/e06f60a9d00e06231c45bd7e9d98f666d1833497"
+        },
+        "date": 1686252174616,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 77.95498530296003,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004660672367392654",
+            "extra": "mean: 12.827915958339986 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 72.62960094297499,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0039262914163589605",
+            "extra": "mean: 13.768490904764139 msec\nrounds: 63"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 44.82606620001345,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004742098276395703",
+            "extra": "mean: 22.308448739133393 msec\nrounds: 46"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 31.5725634055962,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005421268791958832",
+            "extra": "mean: 31.6730696571426 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 18.2550758010069,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010803042738273061",
+            "extra": "mean: 54.779285000002176 msec\nrounds: 8"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 14.987506115154142,
+            "unit": "iter/sec",
+            "range": "stddev: 0.019759406639013977",
+            "extra": "mean: 66.72224133332507 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 72.87624611994003,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0058829628510686585",
+            "extra": "mean: 13.72189229332965 msec\nrounds: 75"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 68.15101500052893,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002794225224273799",
+            "extra": "mean: 14.673295768114956 msec\nrounds: 69"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 42.56809693492247,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015183580749774336",
+            "extra": "mean: 23.491771350003887 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 24.319490683136745,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014977874659642785",
+            "extra": "mean: 41.119282185190045 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 16.030015929489917,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014478790356572123",
+            "extra": "mean: 62.38296982352535 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 10.997931222303219,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02429038018061497",
+            "extra": "mean: 90.92619146154081 msec\nrounds: 13"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 81.85518102438361,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001444371857965089",
+            "extra": "mean: 12.216697678575931 msec\nrounds: 28"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 64.14980526456738,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0039900328043393374",
+            "extra": "mean: 15.588511857141084 msec\nrounds: 56"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 34.62137587776564,
+            "unit": "iter/sec",
+            "range": "stddev: 0.015935377592048196",
+            "extra": "mean: 28.88388963889257 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 20.737281184669268,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03580677989005012",
+            "extra": "mean: 48.222329199995784 msec\nrounds: 15"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 11.779143777510908,
+            "unit": "iter/sec",
+            "range": "stddev: 0.043329411600066585",
+            "extra": "mean: 84.8958140666582 msec\nrounds: 15"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 9.813320324272269,
+            "unit": "iter/sec",
+            "range": "stddev: 0.05897317811884538",
+            "extra": "mean: 101.90230900000276 msec\nrounds: 13"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.5143639408146021,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04474244039734858",
+            "extra": "mean: 660.3432458000043 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 27.236980448516476,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03392505777948487",
+            "extra": "mean: 36.71478936111169 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.5899202145180266,
+            "unit": "iter/sec",
+            "range": "stddev: 0.09974163732534018",
+            "extra": "mean: 1.6951444879999826 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 11.973221250421018,
+            "unit": "iter/sec",
+            "range": "stddev: 0.05891021647488052",
+            "extra": "mean: 83.51971278947482 msec\nrounds: 19"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 6.242064443965733,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014470875174848092",
+            "extra": "mean: 160.20340850000517 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 3.9639382839294726,
+            "unit": "iter/sec",
+            "range": "stddev: 0.022641633031732073",
+            "extra": "mean: 252.27436159997296 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 95.33873693260895,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003158290361686382",
+            "extra": "mean: 10.48891596609738 msec\nrounds: 59"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 81.49847701006115,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007031641432115005",
+            "extra": "mean: 12.270167942850614 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 121.17394413603097,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0029597612821808065",
+            "extra": "mean: 8.252599245902163 msec\nrounds: 61"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 126.78092091417525,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001257604146710763",
+            "extra": "mean: 7.887622149999629 msec\nrounds: 20"
+          }
+        ]
       }
     ]
   }

From 4ebfa1bf55d0a0b451329bce441097fcea799bde Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 12 Jun 2023 08:14:07 +0000
Subject: [PATCH 015/150] add TiPg Benchmarks (pytest) benchmark result for
 1043f4db0b067fe44c35d1456761d61a4e2ad3cc

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 87fed287..f7dfc9ad 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1686252175736,
+  "lastUpdate": 1686557647505,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -2862,6 +2862,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 7.887622149999629 msec\nrounds: 20"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "1043f4db0b067fe44c35d1456761d61a4e2ad3cc",
+          "message": "Merge pull request #71 from developmentseed/OGCTile1.0TMS2.0\n\nOGC Tiles 1.0 impl",
+          "timestamp": "2023-06-12T10:07:03+02:00",
+          "tree_id": "a6672ba8d5f7c714fe59cccb77e4c7b6e2993aa6",
+          "url": "https://github.com/developmentseed/tipg/commit/1043f4db0b067fe44c35d1456761d61a4e2ad3cc"
+        },
+        "date": 1686557646393,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 100.45516954860068,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0019954433789014727",
+            "extra": "mean: 9.954689285713616 msec\nrounds: 70"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 88.4560387640328,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015946650193992644",
+            "extra": "mean: 11.305050666666425 msec\nrounds: 78"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 49.75582980918972,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0016099668071587997",
+            "extra": "mean: 20.09814736956319 msec\nrounds: 46"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 31.04743473131651,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0017205571067393157",
+            "extra": "mean: 32.208780166669726 msec\nrounds: 12"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 19.088444139381636,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0029483997944523255",
+            "extra": "mean: 52.38771649999939 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 14.904848462806328,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011435608070722317",
+            "extra": "mean: 67.09226212499964 msec\nrounds: 16"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 98.11796892218358,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0021352936714991886",
+            "extra": "mean: 10.191813089741904 msec\nrounds: 78"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 81.68006360793929,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015312793345593685",
+            "extra": "mean: 12.242889584415067 msec\nrounds: 77"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 43.6874000514222,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003931808460919712",
+            "extra": "mean: 22.889894999998884 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 26.25667186134501,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0029973657418348337",
+            "extra": "mean: 38.08555803571575 msec\nrounds: 28"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 14.962754311494065,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008939640124609977",
+            "extra": "mean: 66.83261511764726 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 12.59763693904227,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00816667624683857",
+            "extra": "mean: 79.37996664285711 msec\nrounds: 14"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 97.62968081522544,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001596698485622393",
+            "extra": "mean: 10.242786739133221 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 77.97541252558933,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012638697009224524",
+            "extra": "mean: 12.824555428569592 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 38.66601309647688,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011681649733551711",
+            "extra": "mean: 25.862506111112776 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 23.925077490574377,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01488879722507448",
+            "extra": "mean: 41.7971478000004 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 14.812344680003644,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002250367493431275",
+            "extra": "mean: 67.51125642856388 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 10.96530743316464,
+            "unit": "iter/sec",
+            "range": "stddev: 0.028273086351442683",
+            "extra": "mean: 91.19671346153908 msec\nrounds: 13"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.7090101655321988,
+            "unit": "iter/sec",
+            "range": "stddev: 0.05008282241398545",
+            "extra": "mean: 585.1340268000058 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 37.15198668912911,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02207144174245578",
+            "extra": "mean: 26.91646097872354 msec\nrounds: 47"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.6710012014805262,
+            "unit": "iter/sec",
+            "range": "stddev: 0.08248143909203408",
+            "extra": "mean: 1.4903102972 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 13.931465640802541,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04004768963425336",
+            "extra": "mean: 71.7799566666694 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 6.91286794500066,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014453680970789794",
+            "extra": "mean: 144.65776114285435 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 4.218906264464574,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01652982750860733",
+            "extra": "mean: 237.02825740000435 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 132.60562468975255,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006182692967941074",
+            "extra": "mean: 7.541158245282771 msec\nrounds: 53"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 89.57799880560064,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015123983307441544",
+            "extra": "mean: 11.163455461537698 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 166.4885883727124,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004714092087127355",
+            "extra": "mean: 6.006417675674765 msec\nrounds: 74"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 142.60027536190444,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010129059846049743",
+            "extra": "mean: 7.012609179485143 msec\nrounds: 39"
+          }
+        ]
       }
     ]
   }

From ec01975209e89a9f1b9f07037043c609c5264bf3 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 12 Jun 2023 08:45:30 +0000
Subject: [PATCH 016/150] add TiPg Benchmarks (pytest) benchmark result for
 e849f4f129a28f07fbde92d1448a1a2f297a3f5f

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index f7dfc9ad..f623296d 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1686557647505,
+  "lastUpdate": 1686559530827,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -3082,6 +3082,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 7.012609179485143 msec\nrounds: 39"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "e849f4f129a28f07fbde92d1448a1a2f297a3f5f",
+          "message": "add customization docs",
+          "timestamp": "2023-06-12T10:39:56+02:00",
+          "tree_id": "d3c45fd4233c82f611ed7a81894e5b6922c08468",
+          "url": "https://github.com/developmentseed/tipg/commit/e849f4f129a28f07fbde92d1448a1a2f297a3f5f"
+        },
+        "date": 1686559530297,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 166.0590311872493,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017665415164649467",
+            "extra": "mean: 6.021954920791951 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 135.01634289743296,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011942528912455735",
+            "extra": "mean: 7.406510786325058 msec\nrounds: 117"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 69.6314677248426,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004516527894378161",
+            "extra": "mean: 14.361323014928027 msec\nrounds: 67"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 46.382342843192426,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005492744244705614",
+            "extra": "mean: 21.559928600001083 msec\nrounds: 45"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 26.117339061992784,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007120542755091601",
+            "extra": "mean: 38.28873981481706 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 22.19998622268995,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00038760402847938893",
+            "extra": "mean: 45.04507299999716 msec\nrounds: 12"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 163.8020786725383,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014723536611577733",
+            "extra": "mean: 6.104928631578177 msec\nrounds: 133"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 131.27996790613292,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001817883328186278",
+            "extra": "mean: 7.617308382608796 msec\nrounds: 115"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 66.60320666745783,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004772355347540976",
+            "extra": "mean: 15.01429210447607 msec\nrounds: 67"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 44.85938106126532,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006951940088675689",
+            "extra": "mean: 22.291881348837176 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 25.746876152559146,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010610699900993998",
+            "extra": "mean: 38.83966326923135 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 21.291167208116292,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008419781633931977",
+            "extra": "mean: 46.967833666666955 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 156.9123514238593,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001631586934812091",
+            "extra": "mean: 6.3729846052638095 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 117.36808647551216,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0011193659684374272",
+            "extra": "mean: 8.520203660376122 msec\nrounds: 106"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 56.668768028530465,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005863106816632122",
+            "extra": "mean: 17.64640444444707 msec\nrounds: 54"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 33.40782811912969,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010816393347646561",
+            "extra": "mean: 29.933104194444443 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 18.173929390456877,
+            "unit": "iter/sec",
+            "range": "stddev: 0.017541131990634198",
+            "extra": "mean: 55.023873952382566 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 14.798238298978825,
+            "unit": "iter/sec",
+            "range": "stddev: 0.020490950461684563",
+            "extra": "mean: 67.57561135294101 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.5995395377387154,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014580152258281994",
+            "extra": "mean: 384.6835123999995 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 51.55956974075086,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014626160443898332",
+            "extra": "mean: 19.395041600000695 msec\nrounds: 60"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.9207990552471996,
+            "unit": "iter/sec",
+            "range": "stddev: 0.048351226476625264",
+            "extra": "mean: 1.0860132776000058 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 21.877135148567756,
+            "unit": "iter/sec",
+            "range": "stddev: 0.021891357968789774",
+            "extra": "mean: 45.70982412500513 msec\nrounds: 8"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 9.066471123166785,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009091861833016933",
+            "extra": "mean: 110.29649644444186 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.566937835208485,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011798940191351248",
+            "extra": "mean: 179.63196816666974 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 197.34953295999983,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011796439891209797",
+            "extra": "mean: 5.06715159139843 msec\nrounds: 93"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 133.1044708961619,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00023927444152076042",
+            "extra": "mean: 7.512895647060006 msec\nrounds: 51"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 252.97493753428833,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011700963917532416",
+            "extra": "mean: 3.952960754716896 msec\nrounds: 106"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 230.45169245756037,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001462436567037166",
+            "extra": "mean: 4.33930421311251 msec\nrounds: 61"
+          }
+        ]
       }
     ]
   }

From 1e79ef7dedd350890f905893d390b42b0964f829 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 12 Jun 2023 15:22:47 +0000
Subject: [PATCH 017/150] add TiPg Benchmarks (pytest) benchmark result for
 2543707238a97a0527effff710a83f9bea66440f

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index f623296d..cce54719 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1686559530827,
+  "lastUpdate": 1686583367236,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -3302,6 +3302,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.33930421311251 msec\nrounds: 61"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "2543707238a97a0527effff710a83f9bea66440f",
+          "message": "Merge pull request #74 from developmentseed/fixAndTestFunctions\n\nfix and tests functions",
+          "timestamp": "2023-06-12T17:17:17+02:00",
+          "tree_id": "e17da1c558c961f0764c8c53f580a3a5fa56c331",
+          "url": "https://github.com/developmentseed/tipg/commit/2543707238a97a0527effff710a83f9bea66440f"
+        },
+        "date": 1686583366697,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 154.13374129659763,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002069151581806682",
+            "extra": "mean: 6.487872101123611 msec\nrounds: 89"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 131.67377135315465,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00032684823051184174",
+            "extra": "mean: 7.594526910890686 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 66.88945905607359,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006372819492800623",
+            "extra": "mean: 14.950038677419974 msec\nrounds: 62"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 45.07250135632739,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004678886519374587",
+            "extra": "mean: 22.18647667442174 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 25.5335877573322,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009984580363935333",
+            "extra": "mean: 39.1641006153881 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 21.06316929456701,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01047848635299372",
+            "extra": "mean: 47.476236173914145 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 157.88761276584725,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00030796927690013396",
+            "extra": "mean: 6.333619100841269 msec\nrounds: 119"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 126.90472459146939,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002205564725498341",
+            "extra": "mean: 7.8799272699987455 msec\nrounds: 100"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 68.4002015261405,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00027081864921567496",
+            "extra": "mean: 14.619839966667788 msec\nrounds: 60"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 42.73885216823415,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003938100812924304",
+            "extra": "mean: 23.397914292683193 msec\nrounds: 41"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 23.083576185300608,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011919352888388647",
+            "extra": "mean: 43.32084387499672 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 20.14707268367902,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010388308653183108",
+            "extra": "mean: 49.63500234999856 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 146.0827490845126,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00034332298710634975",
+            "extra": "mean: 6.8454352499998095 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 110.80132885957629,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004879736244051541",
+            "extra": "mean: 9.025162516483416 msec\nrounds: 91"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 52.72141566375115,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007985944277379337",
+            "extra": "mean: 18.967624207548635 msec\nrounds: 53"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 31.102507723577922,
+            "unit": "iter/sec",
+            "range": "stddev: 0.015349945984146756",
+            "extra": "mean: 32.15174830555315 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 16.89098796724713,
+            "unit": "iter/sec",
+            "range": "stddev: 0.024889117661481924",
+            "extra": "mean: 59.20316809999946 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 13.800136490493419,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02853194784057574",
+            "extra": "mean: 72.4630514117651 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.0269430373553456,
+            "unit": "iter/sec",
+            "range": "stddev: 0.023724738840734814",
+            "extra": "mean: 493.35377539999854 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 43.034273648858544,
+            "unit": "iter/sec",
+            "range": "stddev: 0.019264304449286177",
+            "extra": "mean: 23.237292399996726 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8023856711793779,
+            "unit": "iter/sec",
+            "range": "stddev: 0.07631516621093837",
+            "extra": "mean: 1.2462834717999898 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 16.091687624545052,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03764543384092538",
+            "extra": "mean: 62.143885919999775 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.853056690603838,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007731087295376544",
+            "extra": "mean: 112.95533677778735 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.3770394827343635,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010843957210753959",
+            "extra": "mean: 185.97594516666524 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 189.94051681377815,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021670132320825475",
+            "extra": "mean: 5.264806144443746 msec\nrounds: 90"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 130.7658932212932,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014536210988581628",
+            "extra": "mean: 7.6472539999991795 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 244.90790514665778,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013875182257612297",
+            "extra": "mean: 4.0831675049491425 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 223.78191961150753,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001115368386294779",
+            "extra": "mean: 4.4686362586219275 msec\nrounds: 58"
+          }
+        ]
       }
     ]
   }

From aa3571eaf47f73ed13e14629f8a04033a40202de Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 14 Jun 2023 21:34:15 +0000
Subject: [PATCH 018/150] add TiPg Benchmarks (pytest) benchmark result for
 58b9994084f3fe0e87cffe0b3cb47daa1215002f

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index cce54719..11e79f98 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1686583367236,
+  "lastUpdate": 1686778455841,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -3522,6 +3522,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.4686362586219275 msec\nrounds: 58"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "58b9994084f3fe0e87cffe0b3cb47daa1215002f",
+          "message": "Merge pull request #76 from developmentseed/Annotations\n\nswitch to Annotation type hint",
+          "timestamp": "2023-06-14T23:28:54+02:00",
+          "tree_id": "c0b583bdc6cca223ccdc065cc7da420612adf808",
+          "url": "https://github.com/developmentseed/tipg/commit/58b9994084f3fe0e87cffe0b3cb47daa1215002f"
+        },
+        "date": 1686778455324,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 162.39311616508706,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001836597858730831",
+            "extra": "mean: 6.157896489795855 msec\nrounds: 98"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 133.65287971035795,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020929146083126698",
+            "extra": "mean: 7.482068490908101 msec\nrounds: 110"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 71.89799414341714,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021169207085051123",
+            "extra": "mean: 13.908593861537629 msec\nrounds: 65"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 43.797845325877155,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005444447501359034",
+            "extra": "mean: 22.832173422220116 msec\nrounds: 45"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 25.232223899234384,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00869871964769842",
+            "extra": "mean: 39.631861384613934 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 20.582719524279952,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010433393360003866",
+            "extra": "mean: 48.58444477273141 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 164.16615537379056,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020926694186553782",
+            "extra": "mean: 6.091389529852217 msec\nrounds: 134"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 131.19345263959326,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022464854152721414",
+            "extra": "mean: 7.622331601769334 msec\nrounds: 113"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 70.78700900079673,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00025861527578684385",
+            "extra": "mean: 14.126885909090252 msec\nrounds: 66"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 44.13715463963566,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004557082765567105",
+            "extra": "mean: 22.656648534882873 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 25.18593941150609,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007297708410755209",
+            "extra": "mean: 39.70469330769351 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 21.083481965439262,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009291407372889449",
+            "extra": "mean: 47.43049566666611 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 154.59809196702892,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021575570264052246",
+            "extra": "mean: 6.46838513513653 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 117.29409431982074,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00033352626054855485",
+            "extra": "mean: 8.525578425741905 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 54.741773762848645,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00637504717509847",
+            "extra": "mean: 18.267584903846604 msec\nrounds: 52"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 35.97186029285098,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004674938630394849",
+            "extra": "mean: 27.79950749999825 msec\nrounds: 14"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 18.492131069355587,
+            "unit": "iter/sec",
+            "range": "stddev: 0.015549669410787543",
+            "extra": "mean: 54.0770555999984 msec\nrounds: 10"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 14.49182329260827,
+            "unit": "iter/sec",
+            "range": "stddev: 0.021593334417382398",
+            "extra": "mean: 69.00442958823974 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.4589457757447586,
+            "unit": "iter/sec",
+            "range": "stddev: 0.025149951812374848",
+            "extra": "mean: 406.6783456000053 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 53.4417476853929,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013735711657333519",
+            "extra": "mean: 18.711962899995648 msec\nrounds: 60"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8852691457942962,
+            "unit": "iter/sec",
+            "range": "stddev: 0.05424893433360473",
+            "extra": "mean: 1.1295999693999987 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 21.03175446322664,
+            "unit": "iter/sec",
+            "range": "stddev: 0.023455335785626176",
+            "extra": "mean: 47.547150749998934 msec\nrounds: 8"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 9.145837280545615,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008564639911561304",
+            "extra": "mean: 109.33936055555351 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.482782707593804,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011561812248786713",
+            "extra": "mean: 182.38913583333746 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 197.8273599777915,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012344781218381852",
+            "extra": "mean: 5.054912526317199 msec\nrounds: 95"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 132.21066980082182,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017983807257754205",
+            "extra": "mean: 7.563686058822039 msec\nrounds: 51"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 253.88108695462654,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014787951388429084",
+            "extra": "mean: 3.9388518932043146 msec\nrounds: 103"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 230.6020868286504,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022347625601912697",
+            "extra": "mean: 4.336474200006061 msec\nrounds: 60"
+          }
+        ]
       }
     ]
   }

From f1113c3cf3a1f173e68c2683b41aa6d8281dccaf Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 14 Jun 2023 21:49:59 +0000
Subject: [PATCH 019/150] add TiPg Benchmarks (pytest) benchmark result for
 9401d5c2e7dc7bbd31d486b32caa61f8f1842e6b

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 11e79f98..ad2b2109 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1686778455841,
+  "lastUpdate": 1686779399298,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -3742,6 +3742,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.336474200006061 msec\nrounds: 60"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "9401d5c2e7dc7bbd31d486b32caa61f8f1842e6b",
+          "message": "Merge pull request #75 from developmentseed/FixFunctionsAndDocs\n\nfix function parameters and add docs",
+          "timestamp": "2023-06-14T23:44:05+02:00",
+          "tree_id": "5a8d44c47dffce3c0ead5a5f76ebf5c0426159ea",
+          "url": "https://github.com/developmentseed/tipg/commit/9401d5c2e7dc7bbd31d486b32caa61f8f1842e6b"
+        },
+        "date": 1686779398809,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 143.3725060706479,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00026640640440286846",
+            "extra": "mean: 6.9748379756104875 msec\nrounds: 82"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 117.56009217190204,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006112868475210118",
+            "extra": "mean: 8.506287988765369 msec\nrounds: 89"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 65.58225445567646,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00027650736865122966",
+            "extra": "mean: 15.248027203393052 msec\nrounds: 59"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 39.84173992352892,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00923772552204825",
+            "extra": "mean: 25.09930544999719 msec\nrounds: 40"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 23.677222419990184,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013823121588774615",
+            "extra": "mean: 42.234683708327246 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 18.87383537942876,
+            "unit": "iter/sec",
+            "range": "stddev: 0.016980379356131253",
+            "extra": "mean: 52.98340161904423 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 150.2190184330633,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000686732757978137",
+            "extra": "mean: 6.656946706422491 msec\nrounds: 109"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 123.00461845190486,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00023160361540627044",
+            "extra": "mean: 8.129776040815921 msec\nrounds: 98"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 65.7366576485575,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005071169512530902",
+            "extra": "mean: 15.212212421054597 msec\nrounds: 57"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 40.98909011886117,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006948239955725141",
+            "extra": "mean: 24.39673574358873 msec\nrounds: 39"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 23.58757212994754,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006211964089368848",
+            "extra": "mean: 42.39520686956874 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 19.22616463828603,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00034287462570205984",
+            "extra": "mean: 52.012453799997616 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 144.18333588399426,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00029513660474572066",
+            "extra": "mean: 6.9356142571466854 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 111.51607884979737,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004103962596192123",
+            "extra": "mean: 8.96731673418068 msec\nrounds: 79"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 51.42518756894164,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009135406614212756",
+            "extra": "mean: 19.44572392000282 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 30.190253571199737,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01627305678713746",
+            "extra": "mean: 33.123272636370274 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 16.103852637716635,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02623262930818254",
+            "extra": "mean: 62.096941799995875 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 12.884665487380097,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03053572329735004",
+            "extra": "mean: 77.6116385000023 msec\nrounds: 16"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.9165363807471005,
+            "unit": "iter/sec",
+            "range": "stddev: 0.032497534576550705",
+            "extra": "mean: 521.7745981999997 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 42.4269993106533,
+            "unit": "iter/sec",
+            "range": "stddev: 0.020470939083002477",
+            "extra": "mean: 23.569896911113926 msec\nrounds: 45"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7534776905970294,
+            "unit": "iter/sec",
+            "range": "stddev: 0.047340850527359486",
+            "extra": "mean: 1.3271793079999952 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 16.099482480257915,
+            "unit": "iter/sec",
+            "range": "stddev: 0.038459991822453",
+            "extra": "mean: 62.11379783333134 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 9.027830340858001,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008201123010524525",
+            "extra": "mean: 110.7685858333222 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.308419423297891,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008262805857336067",
+            "extra": "mean: 188.3799903999943 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 179.3993521629623,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0013028310344591753",
+            "extra": "mean: 5.574156137930882 msec\nrounds: 87"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 128.14535811007667,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015943179767319567",
+            "extra": "mean: 7.803638108693734 msec\nrounds: 46"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 240.63243606783817,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017023428400054824",
+            "extra": "mean: 4.155715731182989 msec\nrounds: 93"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 219.6888767751859,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017119953469641204",
+            "extra": "mean: 4.551891814820145 msec\nrounds: 54"
+          }
+        ]
       }
     ]
   }

From 509f8ebee85a06acc6bdba4f2cf0e75987f92436 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 15 Jun 2023 09:05:51 +0000
Subject: [PATCH 020/150] add TiPg Benchmarks (pytest) benchmark result for
 eea26680d19570e335b87e144d47a0e97e7355bb

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index ad2b2109..1f6fe073 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1686779399298,
+  "lastUpdate": 1686819951368,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -3962,6 +3962,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.551891814820145 msec\nrounds: 54"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "eea26680d19570e335b87e144d47a0e97e7355bb",
+          "message": "Merge pull request #78 from developmentseed/FastAPILifespan\n\nuse new lifespan style",
+          "timestamp": "2023-06-15T11:00:22+02:00",
+          "tree_id": "054d9f83ce437cd305813a1d1cd08e08e635deb3",
+          "url": "https://github.com/developmentseed/tipg/commit/eea26680d19570e335b87e144d47a0e97e7355bb"
+        },
+        "date": 1686819950447,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 146.35730094037808,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0014847317216275283",
+            "extra": "mean: 6.832593888892309 msec\nrounds: 90"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 124.48580186840496,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002598686560698657",
+            "extra": "mean: 8.033044612245089 msec\nrounds: 98"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 68.55085203431086,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006225553803816377",
+            "extra": "mean: 14.587710733332433 msec\nrounds: 60"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 41.53215103390125,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007724414712050469",
+            "extra": "mean: 24.07773195237913 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 24.68464006942285,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009473505997073885",
+            "extra": "mean: 40.51102212499794 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 19.717526800678304,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014328126228963496",
+            "extra": "mean: 50.71629977272804 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 154.1880319993054,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021804907421863254",
+            "extra": "mean: 6.485587675212723 msec\nrounds: 117"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 124.04426894971888,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003169849883235513",
+            "extra": "mean: 8.061638062499673 msec\nrounds: 96"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 66.06549292312096,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003136774713350361",
+            "extra": "mean: 15.136494949998772 msec\nrounds: 60"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 41.4105832658183,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007682594603011604",
+            "extra": "mean: 24.148416205125844 msec\nrounds: 39"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 24.110205434461662,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00047892959021615206",
+            "extra": "mean: 41.47621233333254 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 19.83358898879312,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003571319869052622",
+            "extra": "mean: 50.41951814999521 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 146.91780344347515,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003324197903772264",
+            "extra": "mean: 6.806527027779434 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 113.89748998855217,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003195171647423013",
+            "extra": "mean: 8.779824736265127 msec\nrounds: 91"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 53.43075730421689,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007708209426768538",
+            "extra": "mean: 18.71581183673542 msec\nrounds: 49"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 31.090113995417024,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01433456520947848",
+            "extra": "mean: 32.16456524242431 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 16.855754904438477,
+            "unit": "iter/sec",
+            "range": "stddev: 0.022877436290499105",
+            "extra": "mean: 59.32691865000237 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 13.881333417468825,
+            "unit": "iter/sec",
+            "range": "stddev: 0.025076126569327194",
+            "extra": "mean: 72.03918888235621 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.1020469269683795,
+            "unit": "iter/sec",
+            "range": "stddev: 0.023214958901069938",
+            "extra": "mean: 475.72677239999734 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 45.646473892310034,
+            "unit": "iter/sec",
+            "range": "stddev: 0.018025268342354118",
+            "extra": "mean: 21.907497222221757 msec\nrounds: 54"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8087022365754895,
+            "unit": "iter/sec",
+            "range": "stddev: 0.06174594103706953",
+            "extra": "mean: 1.2365490717999932 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 17.060213665868908,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03387354610315027",
+            "extra": "mean: 58.615913000001 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.787506150278158,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007891384304570955",
+            "extra": "mean: 113.79792888888574 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.3528631235919075,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010919612288713893",
+            "extra": "mean: 186.81591083333635 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 183.77067900773994,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018814073825443257",
+            "extra": "mean: 5.441564483515254 msec\nrounds: 91"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 129.15390090227967,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001673565641640504",
+            "extra": "mean: 7.742700708332606 msec\nrounds: 48"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 242.88584055260714,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009977727045319261",
+            "extra": "mean: 4.117160546390138 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 221.4360802017493,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015953075543198252",
+            "extra": "mean: 4.515975892857682 msec\nrounds: 56"
+          }
+        ]
       }
     ]
   }

From 5351322b3f98b50895b04100599e5576bfe28da0 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 15 Jun 2023 09:09:40 +0000
Subject: [PATCH 021/150] add TiPg Benchmarks (pytest) benchmark result for
 43606f12f0912048e712bd1fb0dc47e026e1bf44

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 1f6fe073..e0a8186b 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1686819951368,
+  "lastUpdate": 1686820180189,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -4182,6 +4182,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.515975892857682 msec\nrounds: 56"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "43606f12f0912048e712bd1fb0dc47e026e1bf44",
+          "message": "Merge pull request #79 from developmentseed/rewriteMiddleWare\n\nrewrite middleware in pure asgi",
+          "timestamp": "2023-06-15T11:03:47+02:00",
+          "tree_id": "d275b74db9c78ae12de8500a771ec2f7e793435c",
+          "url": "https://github.com/developmentseed/tipg/commit/43606f12f0912048e712bd1fb0dc47e026e1bf44"
+        },
+        "date": 1686820179334,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 145.0064251311301,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00040406501205087045",
+            "extra": "mean: 6.896246142856736 msec\nrounds: 98"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 118.06851199011025,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003339857836942505",
+            "extra": "mean: 8.469658701921837 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 65.40307483040732,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009791874611491428",
+            "extra": "mean: 15.289801016130179 msec\nrounds: 62"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 40.978016025181255,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007334637972832053",
+            "extra": "mean: 24.403328833330868 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 24.655282366828366,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009626810551089562",
+            "extra": "mean: 40.55925968000338 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 19.75715226873119,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014199429229015513",
+            "extra": "mean: 50.61458181818326 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 144.8009366058645,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00028940412778338077",
+            "extra": "mean: 6.906032677964733 msec\nrounds: 118"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 113.43918982920273,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000624494721579905",
+            "extra": "mean: 8.815295679611504 msec\nrounds: 103"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 62.787966310746675,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007072602315345966",
+            "extra": "mean: 15.926618725805772 msec\nrounds: 62"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 40.951292421198225,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004703731375603104",
+            "extra": "mean: 24.41925372500222 msec\nrounds: 40"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 23.891465278138,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009450024126488702",
+            "extra": "mean: 41.85595100000228 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 20.15871368538036,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0013258038146423947",
+            "extra": "mean: 49.60633975000235 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 140.5689184924779,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002684108563056191",
+            "extra": "mean: 7.113948166667526 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 107.47106032722158,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000318401471383164",
+            "extra": "mean: 9.304830499999337 msec\nrounds: 94"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 52.06570275547803,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007160078506674616",
+            "extra": "mean: 19.206501537036996 msec\nrounds: 54"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 30.988330866040545,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014143087489476555",
+            "extra": "mean: 32.27021178787912 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 16.95456629344153,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02186688872719695",
+            "extra": "mean: 58.98116074999962 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 14.103798327444625,
+            "unit": "iter/sec",
+            "range": "stddev: 0.023964507930604086",
+            "extra": "mean: 70.90288564705982 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.290586659351642,
+            "unit": "iter/sec",
+            "range": "stddev: 0.023368183953737895",
+            "extra": "mean: 436.5693809999982 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 47.24602531509841,
+            "unit": "iter/sec",
+            "range": "stddev: 0.017082377586703966",
+            "extra": "mean: 21.16580163793017 msec\nrounds: 58"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8712929992884202,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0801631195005101",
+            "extra": "mean: 1.14771953959999 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 18.728436345936927,
+            "unit": "iter/sec",
+            "range": "stddev: 0.029340099174760482",
+            "extra": "mean: 53.3947405714384 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.805024246234053,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008198032721053723",
+            "extra": "mean: 113.57152144444171 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.301022737448977,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011218538653381002",
+            "extra": "mean: 188.64284299999667 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 188.6251474499081,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002493874078339622",
+            "extra": "mean: 5.301520043956828 msec\nrounds: 91"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 127.65599432851998,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018290976799068033",
+            "extra": "mean: 7.833553020835993 msec\nrounds: 48"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 243.5827051070738,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00031471208747926914",
+            "extra": "mean: 4.10538178217711 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 221.02238689999731,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020360249467102817",
+            "extra": "mean: 4.52442856140385 msec\nrounds: 57"
+          }
+        ]
       }
     ]
   }

From 84b026c201672e8e55f2096aebd1aa854bd075cf Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 15 Jun 2023 09:29:11 +0000
Subject: [PATCH 022/150] add TiPg Benchmarks (pytest) benchmark result for
 0fe15d3caa05fb7acda968652e16d5ae7a42949e

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index e0a8186b..9e3543de 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1686820180189,
+  "lastUpdate": 1686821351983,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -4402,6 +4402,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.52442856140385 msec\nrounds: 57"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "0fe15d3caa05fb7acda968652e16d5ae7a42949e",
+          "message": "update webpage logo",
+          "timestamp": "2023-06-15T11:23:29+02:00",
+          "tree_id": "1a14fa59e8ef5c8b673f80d9dfee6cea5168eeb9",
+          "url": "https://github.com/developmentseed/tipg/commit/0fe15d3caa05fb7acda968652e16d5ae7a42949e"
+        },
+        "date": 1686821350915,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 164.36038295354751,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013357248309889502",
+            "extra": "mean: 6.084191226803274 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 133.07126325439546,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019369743937324037",
+            "extra": "mean: 7.514770473684289 msec\nrounds: 114"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 71.07792785638473,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002750354717130788",
+            "extra": "mean: 14.069065181817521 msec\nrounds: 66"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 44.944226000084115,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002623063905632816",
+            "extra": "mean: 22.249799117647026 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 25.47173194458343,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0067351884893610695",
+            "extra": "mean: 39.25920711538621 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 20.189657790899854,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011380307742074415",
+            "extra": "mean: 49.53030954545119 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 160.64040609586291,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006597266314103265",
+            "extra": "mean: 6.225083864661331 msec\nrounds: 133"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 129.24938175125703,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000372829644541792",
+            "extra": "mean: 7.73698091588956 msec\nrounds: 107"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 70.2872756711046,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003361144329964693",
+            "extra": "mean: 14.22732621874978 msec\nrounds: 64"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 43.91160985078171,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008497924549274267",
+            "extra": "mean: 22.77302069767315 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 25.353764736156425,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006042135906670618",
+            "extra": "mean: 39.44187423076947 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 20.878383271296048,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0014655044241986426",
+            "extra": "mean: 47.896428904761834 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 153.62314714663114,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00027311032007267314",
+            "extra": "mean: 6.509435710528142 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 118.38757724069833,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000270253483230304",
+            "extra": "mean: 8.446832204082202 msec\nrounds: 98"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 55.935297465019815,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005351435212109227",
+            "extra": "mean: 17.877798909094363 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 31.507707361814578,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013228804748867524",
+            "extra": "mean: 31.738266085711434 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 18.405519501667357,
+            "unit": "iter/sec",
+            "range": "stddev: 0.016643142237185007",
+            "extra": "mean: 54.33152810000337 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 14.651996871355095,
+            "unit": "iter/sec",
+            "range": "stddev: 0.020181162342661513",
+            "extra": "mean: 68.25008282352401 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.5564527633317184,
+            "unit": "iter/sec",
+            "range": "stddev: 0.016661445209570504",
+            "extra": "mean: 391.1670163999986 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 50.78267876868583,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014140933481451875",
+            "extra": "mean: 19.691753649999082 msec\nrounds: 60"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.913134410543739,
+            "unit": "iter/sec",
+            "range": "stddev: 0.045115355128649476",
+            "extra": "mean: 1.0951290286000017 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 20.06521847007661,
+            "unit": "iter/sec",
+            "range": "stddev: 0.027900235647413615",
+            "extra": "mean: 49.83748377777727 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.959034242547759,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008289638683857424",
+            "extra": "mean: 111.61917377777779 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.370926741190258,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011290426349451174",
+            "extra": "mean: 186.18760750000263 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 197.5849359663809,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016603777794609216",
+            "extra": "mean: 5.061114578948216 msec\nrounds: 95"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 131.7805491692448,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003452563125584347",
+            "extra": "mean: 7.588373294117232 msec\nrounds: 51"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 253.81240494056223,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012903342909482756",
+            "extra": "mean: 3.9399177523816458 msec\nrounds: 105"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 234.17171882393635,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012652519976966273",
+            "extra": "mean: 4.270370499999861 msec\nrounds: 60"
+          }
+        ]
       }
     ]
   }

From b1ab649a6cead9172585f44dffc43e4980df94ac Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 15 Jun 2023 09:54:13 +0000
Subject: [PATCH 023/150] add TiPg Benchmarks (pytest) benchmark result for
 21613ae251c4e5093b2126097845e41a230cec3e

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 9e3543de..92f50836 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1686821351983,
+  "lastUpdate": 1686822853386,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -4622,6 +4622,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.270370499999861 msec\nrounds: 60"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "21613ae251c4e5093b2126097845e41a230cec3e",
+          "message": "fix action",
+          "timestamp": "2023-06-15T11:48:12+02:00",
+          "tree_id": "5d36b53978b59551b84ac672929f67db995d8b08",
+          "url": "https://github.com/developmentseed/tipg/commit/21613ae251c4e5093b2126097845e41a230cec3e"
+        },
+        "date": 1686822852504,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 131.72503464106862,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002920352172967365",
+            "extra": "mean: 7.591571357144474 msec\nrounds: 84"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 104.70559959722284,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00048482310512172757",
+            "extra": "mean: 9.550587588885012 msec\nrounds: 90"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 62.231993324070245,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006509055905678535",
+            "extra": "mean: 16.06890518181775 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 39.10030130405276,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009831470701265471",
+            "extra": "mean: 25.57525048781017 msec\nrounds: 41"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 23.67093165441672,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012064128431115128",
+            "extra": "mean: 42.24590796000257 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 19.928071656123244,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012774764830327356",
+            "extra": "mean: 50.18046990476034 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 124.20567529715683,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001449752615481041",
+            "extra": "mean: 8.051161894233434 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 107.9370026970034,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000299627254213015",
+            "extra": "mean: 9.264663414891755 msec\nrounds: 94"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 60.28134891891697,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004894383027255548",
+            "extra": "mean: 16.588878947368556 msec\nrounds: 57"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 39.047445740571156,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004626589422006779",
+            "extra": "mean: 25.60986976315785 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 22.801630805548456,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008434766531606326",
+            "extra": "mean: 43.8565122173921 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 19.010847018981067,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005807732879024508",
+            "extra": "mean: 52.60154894737549 msec\nrounds: 19"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 123.65297685084603,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005132685950628872",
+            "extra": "mean: 8.0871486111186 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 97.36921298985969,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003198440701877587",
+            "extra": "mean: 10.270186738637221 msec\nrounds: 88"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 48.653945585300924,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009216696795885125",
+            "extra": "mean: 20.553317679997463 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 29.20323572170416,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01712651568969424",
+            "extra": "mean: 34.242780818181366 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 16.412431550649124,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02632702371047054",
+            "extra": "mean: 60.929423950008754 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 13.493203239381836,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0303030287993095",
+            "extra": "mean: 74.11138647058672 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.9023070344220008,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03521151000845972",
+            "extra": "mean: 525.6774968000059 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 42.5066593759664,
+            "unit": "iter/sec",
+            "range": "stddev: 0.020431789301484263",
+            "extra": "mean: 23.525725490566494 msec\nrounds: 53"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.784932958054242,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0722459629523474",
+            "extra": "mean: 1.2739941541999769 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 16.04288244295255,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03833592741111614",
+            "extra": "mean: 62.33293820832605 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.603624251095088,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00724999804277445",
+            "extra": "mean: 116.23008755556914 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.2852092620732565,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010074153667617892",
+            "extra": "mean: 189.20726700000614 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 171.24200252468827,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004198311820766784",
+            "extra": "mean: 5.839688775280633 msec\nrounds: 89"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 119.50170676656029,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002145314149924713",
+            "extra": "mean: 8.368081319151722 msec\nrounds: 47"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 233.75606291102773,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014557856431380174",
+            "extra": "mean: 4.277963906247943 msec\nrounds: 96"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 205.6937972871007,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002552384577694483",
+            "extra": "mean: 4.8615953090905935 msec\nrounds: 55"
+          }
+        ]
       }
     ]
   }

From 7236697a13a7023d3641217520c740df124e2b0f Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 19 Jun 2023 07:04:44 +0000
Subject: [PATCH 024/150] add TiPg Benchmarks (pytest) benchmark result for
 436e053a2ed9074b9995dbe54e60bc1d314a4b10

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 92f50836..0f02710f 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1686822853386,
+  "lastUpdate": 1687158283993,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -4842,6 +4842,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.8615953090905935 msec\nrounds: 55"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "436e053a2ed9074b9995dbe54e60bc1d314a4b10",
+          "message": "remove useless app.state.db_settings` and update docs",
+          "timestamp": "2023-06-19T08:59:26+02:00",
+          "tree_id": "ce556608e599c79889393d1f0a33b2d85c6acce1",
+          "url": "https://github.com/developmentseed/tipg/commit/436e053a2ed9074b9995dbe54e60bc1d314a4b10"
+        },
+        "date": 1687158283502,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 160.64775850451608,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002757937579474062",
+            "extra": "mean: 6.224798959593876 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 125.3686081048401,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009368187445299783",
+            "extra": "mean: 7.976478443182085 msec\nrounds: 88"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 67.97061390051111,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00027900555699834917",
+            "extra": "mean: 14.712240225808529 msec\nrounds: 62"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 40.22013752992548,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007802356426600883",
+            "extra": "mean: 24.863167095238243 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 24.781630798412984,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00706619321596969",
+            "extra": "mean: 40.35246946153519 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 20.574724131337767,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003323323190153273",
+            "extra": "mean: 48.603324818187005 msec\nrounds: 11"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 157.92383464692406,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004185864509931907",
+            "extra": "mean: 6.3321664031001745 msec\nrounds: 129"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 121.25194134798929,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0039668238527501894",
+            "extra": "mean: 8.247290632073522 msec\nrounds: 106"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 69.47559621321254,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007455276642010973",
+            "extra": "mean: 14.393543265625475 msec\nrounds: 64"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 43.428167781778775,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007603086048266188",
+            "extra": "mean: 23.02652980952081 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 25.786414148617645,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003341496642182799",
+            "extra": "mean: 38.7801108846151 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 21.25411354390822,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003092673750299463",
+            "extra": "mean: 47.04971571428424 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 153.8241221383254,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001667276949233298",
+            "extra": "mean: 6.500930972976762 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 114.88249501627577,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005552765927169241",
+            "extra": "mean: 8.704546326734347 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 55.59165752629255,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0056801652399210145",
+            "extra": "mean: 17.98831055769549 msec\nrounds: 52"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 32.70610068699104,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011601647332028049",
+            "extra": "mean: 30.5753354571477 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 17.396324200883917,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01957267001456827",
+            "extra": "mean: 57.48340789999702 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 14.663169150058472,
+            "unit": "iter/sec",
+            "range": "stddev: 0.019170799588781477",
+            "extra": "mean: 68.19808117647011 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.5189720599977385,
+            "unit": "iter/sec",
+            "range": "stddev: 0.023916506773626594",
+            "extra": "mean: 396.98733299999276 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 47.22334613551984,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0171233927285257",
+            "extra": "mean: 21.17596658928481 msec\nrounds: 56"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.9190169611485669,
+            "unit": "iter/sec",
+            "range": "stddev: 0.047902704930118827",
+            "extra": "mean: 1.0881191994000006 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 21.950655300048734,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02157646897500838",
+            "extra": "mean: 45.55672649999565 msec\nrounds: 8"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.95716169345653,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009032095093791256",
+            "extra": "mean: 111.64250844444723 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.4293856763851664,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01249800714865176",
+            "extra": "mean: 184.18290016667052 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 190.92273147051856,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006261690335692383",
+            "extra": "mean: 5.237720999997403 msec\nrounds: 93"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 127.76547704303148,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004998660460600077",
+            "extra": "mean: 7.826840419992322 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 250.85035165903201,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018680448323257727",
+            "extra": "mean: 3.9864404948463004 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 232.88801638347257,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014797142242791458",
+            "extra": "mean: 4.293909216665763 msec\nrounds: 60"
+          }
+        ]
       }
     ]
   }

From 83e4fc541c3018159dfe783d88cc80bc0d5887a8 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 22 Jun 2023 18:12:19 +0000
Subject: [PATCH 025/150] add TiPg Benchmarks (pytest) benchmark result for
 881bdc0f12d416e35b22c2076c0ca1e1399537d9

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 0f02710f..d7da53e0 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1687158283993,
+  "lastUpdate": 1687457539398,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -5062,6 +5062,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.293909216665763 msec\nrounds: 60"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "881bdc0f12d416e35b22c2076c0ca1e1399537d9",
+          "message": "Merge pull request #81 from developmentseed/RenameSubmodules\n\nrefactor submodule names",
+          "timestamp": "2023-06-22T20:05:51+02:00",
+          "tree_id": "3031ad6589e4a39c6fc69a27e085b6256b6e6a2d",
+          "url": "https://github.com/developmentseed/tipg/commit/881bdc0f12d416e35b22c2076c0ca1e1399537d9"
+        },
+        "date": 1687457538279,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 94.42967665581455,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002634974126031291",
+            "extra": "mean: 10.589891180554249 msec\nrounds: 72"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 76.0316047329765,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001798165694335168",
+            "extra": "mean: 13.152425277777665 msec\nrounds: 72"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 43.64798299856231,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0018273623342269345",
+            "extra": "mean: 22.91056610870056 msec\nrounds: 46"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 26.05473137372394,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013397751999098224",
+            "extra": "mean: 38.380744965518815 msec\nrounds: 29"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 15.765596039025304,
+            "unit": "iter/sec",
+            "range": "stddev: 0.015341707773245037",
+            "extra": "mean: 63.429254277773836 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 13.947134407956252,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012166041991040086",
+            "extra": "mean: 71.69931620000322 msec\nrounds: 15"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 92.54010228256385,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0024091217733870607",
+            "extra": "mean: 10.806125942530077 msec\nrounds: 87"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 75.82250629661537,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0016190980177426823",
+            "extra": "mean: 13.188696191181414 msec\nrounds: 68"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 41.21490003447095,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0029318673735015343",
+            "extra": "mean: 24.2630698888904 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 23.659955537264405,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005037521790290201",
+            "extra": "mean: 42.26550630769365 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 14.099720882228253,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005088771140063114",
+            "extra": "mean: 70.92338978571077 msec\nrounds: 14"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 11.584842180755475,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011829330370140589",
+            "extra": "mean: 86.3196912307689 msec\nrounds: 13"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 95.4198137099362,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0021886991296603975",
+            "extra": "mean: 10.480003692313526 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 74.43523366321367,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015895693344897478",
+            "extra": "mean: 13.434498029851769 msec\nrounds: 67"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 35.47462888051996,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00992941583538424",
+            "extra": "mean: 28.189160297294215 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 20.897496374924213,
+            "unit": "iter/sec",
+            "range": "stddev: 0.019341379288204626",
+            "extra": "mean: 47.852622250000344 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 12.378518457709001,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02642332218447627",
+            "extra": "mean: 80.78511199999282 msec\nrounds: 14"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 9.885107374013154,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02956920348669282",
+            "extra": "mean: 101.16228000000167 msec\nrounds: 12"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.6098286307222198,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03176141852075863",
+            "extra": "mean: 621.1841316000005 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 31.862359119542454,
+            "unit": "iter/sec",
+            "range": "stddev: 0.023516612793257008",
+            "extra": "mean: 31.384995575756353 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.6541939188899553,
+            "unit": "iter/sec",
+            "range": "stddev: 0.042873929710744205",
+            "extra": "mean: 1.528598739799986 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 13.918241991783772,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04038095721339829",
+            "extra": "mean: 71.84815442857803 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 6.372118997960081,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013052709542849391",
+            "extra": "mean: 156.93366685715253 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 3.927616488378082,
+            "unit": "iter/sec",
+            "range": "stddev: 0.016199928459362863",
+            "extra": "mean: 254.60734340000502 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 116.11813138753054,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015022954326771407",
+            "extra": "mean: 8.611919500001411 msec\nrounds: 68"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 89.84098460166706,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008776892880214083",
+            "extra": "mean: 11.130777388891666 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 152.6647407692931,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00039792560837573866",
+            "extra": "mean: 6.5503009729744965 msec\nrounds: 74"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 144.76128866786843,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00047377391420864415",
+            "extra": "mean: 6.907924136364521 msec\nrounds: 44"
+          }
+        ]
       }
     ]
   }

From 8d802bc30638df245cfe5dfe26b1a2c138da09ab Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 22 Jun 2023 18:16:30 +0000
Subject: [PATCH 026/150] add TiPg Benchmarks (pytest) benchmark result for
 4d3ea35a9985eac9374dfc3bfae40d02724bd8fc

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index d7da53e0..48571737 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1687457539398,
+  "lastUpdate": 1687457790560,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -5282,6 +5282,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 6.907924136364521 msec\nrounds: 44"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "4d3ea35a9985eac9374dfc3bfae40d02724bd8fc",
+          "message": "Bump version: 0.1.0 → 0.2.0",
+          "timestamp": "2023-06-22T20:10:09+02:00",
+          "tree_id": "1470e2ff8418d368c856e81a4595488e8481fddd",
+          "url": "https://github.com/developmentseed/tipg/commit/4d3ea35a9985eac9374dfc3bfae40d02724bd8fc"
+        },
+        "date": 1687457790076,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 163.58887985223132,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010094766510140244",
+            "extra": "mean: 6.112884939998935 msec\nrounds: 100"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 134.1484915889513,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002252813874209393",
+            "extra": "mean: 7.454425973451361 msec\nrounds: 113"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 71.33338821608798,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010350402204018352",
+            "extra": "mean: 14.018680803030575 msec\nrounds: 66"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 44.994623367480386,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002170163056045733",
+            "extra": "mean: 22.224877666666824 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 25.21337964399054,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007149101533414917",
+            "extra": "mean: 39.66148188461297 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 20.821397921408273,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007830281727348891",
+            "extra": "mean: 48.027514952385296 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 163.37078184218947,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001447400446796207",
+            "extra": "mean: 6.1210455671685855 msec\nrounds: 134"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 131.54527634089473,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018494406628009413",
+            "extra": "mean: 7.601945336361124 msec\nrounds: 110"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 69.96254476722609,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0013481171174980781",
+            "extra": "mean: 14.293362303031168 msec\nrounds: 66"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 45.059360940946675,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021220537497011467",
+            "extra": "mean: 22.19294679546315 msec\nrounds: 44"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 25.773167338793154,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00038746562401835097",
+            "extra": "mean: 38.8000429615348 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 20.36214355442378,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008169431693318458",
+            "extra": "mean: 49.11074304761714 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 154.87912550350632,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001781811021083042",
+            "extra": "mean: 6.456648026317536 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 117.98057100164135,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022998338782800014",
+            "extra": "mean: 8.4759718613846 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 55.55256935244618,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005375888163365065",
+            "extra": "mean: 18.000967581816564 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 32.84221887405062,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010423405492523203",
+            "extra": "mean: 30.44861261764876 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 17.640329562096756,
+            "unit": "iter/sec",
+            "range": "stddev: 0.017834994503143752",
+            "extra": "mean: 56.68828331578736 msec\nrounds: 19"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 14.692789470500411,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01881248892886033",
+            "extra": "mean: 68.06059543749399 msec\nrounds: 16"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.5127796076032793,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0283926946859071",
+            "extra": "mean: 397.96566200002417 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 55.09067022547588,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012501368150989584",
+            "extra": "mean: 18.15189388524746 msec\nrounds: 61"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.9446395419091599,
+            "unit": "iter/sec",
+            "range": "stddev: 0.039142361577034615",
+            "extra": "mean: 1.058604849399967 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 21.252705994895305,
+            "unit": "iter/sec",
+            "range": "stddev: 0.025414743374658606",
+            "extra": "mean: 47.05283177775999 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 9.20437771208375,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00847517761623816",
+            "extra": "mean: 108.64395522221709 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.469052992656321,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011148315415443873",
+            "extra": "mean: 182.84701233335454 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 197.48372427678885,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022783435644111466",
+            "extra": "mean: 5.063708432996847 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 132.03238506582971,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005188028256591567",
+            "extra": "mean: 7.5738993846200104 msec\nrounds: 52"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 253.7136967835471,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011040924483986871",
+            "extra": "mean: 3.9414505904785204 msec\nrounds: 105"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 231.8272676162613,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016250702639912837",
+            "extra": "mean: 4.313556426223677 msec\nrounds: 61"
+          }
+        ]
       }
     ]
   }

From 6ca8f91da6bfbfac7acba01336eb45c525d8b4b7 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 28 Jun 2023 15:50:48 +0000
Subject: [PATCH 027/150] add TiPg Benchmarks (pytest) benchmark result for
 fad27145c6b48a1a99c21aeeb85ba60983ea853a

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 48571737..fafc4646 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1687457790560,
+  "lastUpdate": 1687967447991,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -5502,6 +5502,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.313556426223677 msec\nrounds: 61"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "fad27145c6b48a1a99c21aeeb85ba60983ea853a",
+          "message": "Merge pull request #82 from developmentseed/CollectionTypeFilter\n\nadd collection type filter",
+          "timestamp": "2023-06-28T17:44:24+02:00",
+          "tree_id": "ffbd816191fe156551837c883bf2857a34119ed9",
+          "url": "https://github.com/developmentseed/tipg/commit/fad27145c6b48a1a99c21aeeb85ba60983ea853a"
+        },
+        "date": 1687967447073,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 153.24840020925302,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007133153513773289",
+            "extra": "mean: 6.525353600002023 msec\nrounds: 85"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 128.09981963627362,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017291375839663194",
+            "extra": "mean: 7.806412240387208 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 68.09503388180597,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005103200584988338",
+            "extra": "mean: 14.685358725802557 msec\nrounds: 62"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 41.41993960535723,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007193833682599946",
+            "extra": "mean: 24.14296132558003 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 24.370631807951852,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009143780861421357",
+            "extra": "mean: 41.032994461543325 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 19.295526714735697,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01502089125622414",
+            "extra": "mean: 51.82548342856665 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 155.31606324620014,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016144783648924387",
+            "extra": "mean: 6.438484076272551 msec\nrounds: 118"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 123.81584468662531,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019933196412201247",
+            "extra": "mean: 8.076510744896778 msec\nrounds: 98"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 64.71748489093382,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005495298387592336",
+            "extra": "mean: 15.451774766668791 msec\nrounds: 60"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 41.33731131291589,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006227886388368754",
+            "extra": "mean: 24.1912201891938 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 23.58961402832757,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008564551489056224",
+            "extra": "mean: 42.39153717390843 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 19.673436863868854,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005572299127208399",
+            "extra": "mean: 50.82995955000342 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 139.63820679301736,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009455079706334897",
+            "extra": "mean: 7.161363805554149 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 111.2693661342255,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00042892565345460247",
+            "extra": "mean: 8.98719957471213 msec\nrounds: 87"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 52.30319639061275,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007946403087213115",
+            "extra": "mean: 19.119290387756827 msec\nrounds: 49"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 30.79224865608097,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014177626483553096",
+            "extra": "mean: 32.475705531252785 msec\nrounds: 32"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 16.724566810347326,
+            "unit": "iter/sec",
+            "range": "stddev: 0.022177108059151247",
+            "extra": "mean: 59.792281099998945 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 13.676855469973074,
+            "unit": "iter/sec",
+            "range": "stddev: 0.023772128335498837",
+            "extra": "mean: 73.11622194118051 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.0778164328836923,
+            "unit": "iter/sec",
+            "range": "stddev: 0.023952765975596025",
+            "extra": "mean: 481.27446879999525 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 46.115797924573165,
+            "unit": "iter/sec",
+            "range": "stddev: 0.017274689210948053",
+            "extra": "mean: 21.684542933326156 msec\nrounds: 15"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7991019738046713,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03811275467628806",
+            "extra": "mean: 1.2514047427999913 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 18.144162446862186,
+            "unit": "iter/sec",
+            "range": "stddev: 0.028465759690017866",
+            "extra": "mean: 55.114145000004555 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.761971058779205,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007916353021197716",
+            "extra": "mean: 114.12957122222325 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.352708845186784,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01116240292144533",
+            "extra": "mean: 186.821295333336 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 189.12734926433876,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009779633978678001",
+            "extra": "mean: 5.287442582417438 msec\nrounds: 91"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 130.25386078896824,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015556056530917808",
+            "extra": "mean: 7.677315619996534 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 241.94329255038033,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010231115326109068",
+            "extra": "mean: 4.133199930689411 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 221.88878119409412,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010278947782903512",
+            "extra": "mean: 4.50676232758818 msec\nrounds: 58"
+          }
+        ]
       }
     ]
   }

From 84fec79520d337497d089c4a343b2d271c13476e Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 12 Jul 2023 21:42:38 +0000
Subject: [PATCH 028/150] add TiPg Benchmarks (pytest) benchmark result for
 12a5e544259e32809f981b9d83f9b04eff6ba0d6

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index fafc4646..04ed3ce0 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1687967447991,
+  "lastUpdate": 1689198158072,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -5722,6 +5722,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.50676232758818 msec\nrounds: 58"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "12a5e544259e32809f981b9d83f9b04eff6ba0d6",
+          "message": "Merge pull request #87 from RemcoMeeuwissen/transform-to-4326\n\nSmall fix to transform to 4326",
+          "timestamp": "2023-07-12T23:36:32+02:00",
+          "tree_id": "27757648853590c9767e702c71f65cc4cff0e5ae",
+          "url": "https://github.com/developmentseed/tipg/commit/12a5e544259e32809f981b9d83f9b04eff6ba0d6"
+        },
+        "date": 1689198157468,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 110.10762630583372,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001275534471915872",
+            "extra": "mean: 9.082023049179273 msec\nrounds: 61"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 85.32463867058173,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012819172715469252",
+            "extra": "mean: 11.719944151896893 msec\nrounds: 79"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 48.6597526635193,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0019685951132461174",
+            "extra": "mean: 20.55086483720888 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 29.785577675295304,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010157319672527355",
+            "extra": "mean: 33.57329546874688 msec\nrounds: 32"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 16.856955901036695,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0123778814116792",
+            "extra": "mean: 59.32269182352791 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 14.656064435781941,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014321943730412331",
+            "extra": "mean: 68.23114106666708 msec\nrounds: 15"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 105.09612079598969,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009087048195060722",
+            "extra": "mean: 9.51509905813915 msec\nrounds: 86"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 79.19410918686644,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00199741198417844",
+            "extra": "mean: 12.627201824322562 msec\nrounds: 74"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 44.994095264182604,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015474546431017797",
+            "extra": "mean: 22.22513852381085 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 26.512622031114734,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003121651917690342",
+            "extra": "mean: 37.71788391304406 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 15.071969018094263,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004713224816189869",
+            "extra": "mean: 66.34833171428868 msec\nrounds: 14"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 12.793452473206479,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0058329246293893355",
+            "extra": "mean: 78.1649833846114 msec\nrounds: 13"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 105.78518686527907,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009253183312835429",
+            "extra": "mean: 9.453119379309062 msec\nrounds: 29"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 78.72774811151125,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001489919977943321",
+            "extra": "mean: 12.702001822579556 msec\nrounds: 62"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 38.85802714627966,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008331123234484712",
+            "extra": "mean: 25.734708461537064 msec\nrounds: 39"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 22.772701140774213,
+            "unit": "iter/sec",
+            "range": "stddev: 0.017100066063907612",
+            "extra": "mean: 43.912226038461185 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 12.536409798594708,
+            "unit": "iter/sec",
+            "range": "stddev: 0.019879691430425863",
+            "extra": "mean: 79.76765406249697 msec\nrounds: 16"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 10.56096234192545,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02824130205621895",
+            "extra": "mean: 94.68834066665958 msec\nrounds: 12"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.6755513974744456,
+            "unit": "iter/sec",
+            "range": "stddev: 0.05655022324394742",
+            "extra": "mean: 596.8184571999984 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 33.71119670595962,
+            "unit": "iter/sec",
+            "range": "stddev: 0.022841742455864605",
+            "extra": "mean: 29.663734833335518 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.6611121604327401,
+            "unit": "iter/sec",
+            "range": "stddev: 0.06244181295553205",
+            "extra": "mean: 1.5126026411999987 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 13.669478323229248,
+            "unit": "iter/sec",
+            "range": "stddev: 0.041435031418217805",
+            "extra": "mean: 73.15568131818524 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 6.533390277491871,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012238641981089893",
+            "extra": "mean: 153.05989042857146 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 4.153321383989506,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02338444236343124",
+            "extra": "mean: 240.77115820000472 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 124.49921480302044,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010578378991703637",
+            "extra": "mean: 8.03217917142831 msec\nrounds: 70"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 82.88753553075365,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012372385870711117",
+            "extra": "mean: 12.064540145833766 msec\nrounds: 48"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 151.80713290109122,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000864389313595989",
+            "extra": "mean: 6.587305753620565 msec\nrounds: 69"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 135.09891460030798,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006195386315895239",
+            "extra": "mean: 7.401983968254031 msec\nrounds: 63"
+          }
+        ]
       }
     ]
   }

From c1a54b84998b12cccd9c96740611d3f1820f6d48 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 17 Jul 2023 08:56:09 +0000
Subject: [PATCH 029/150] add TiPg Benchmarks (pytest) benchmark result for
 03dc1347e7c1ea71d7dd7dd5c4293e69309dea13

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 04ed3ce0..58303222 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1689198158072,
+  "lastUpdate": 1689584169695,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -5942,6 +5942,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 7.401983968254031 msec\nrounds: 63"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "03dc1347e7c1ea71d7dd7dd5c4293e69309dea13",
+          "message": "Merge pull request #91 from krishnaglodha/fix/addpopup\n\nadded popup in item and items",
+          "timestamp": "2023-07-17T10:50:27+02:00",
+          "tree_id": "cc2256768c6d30516de512c65c48e39a3802eed3",
+          "url": "https://github.com/developmentseed/tipg/commit/03dc1347e7c1ea71d7dd7dd5c4293e69309dea13"
+        },
+        "date": 1689584169156,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 150.82940308605052,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00033458961190861014",
+            "extra": "mean: 6.630007011494201 msec\nrounds: 87"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 128.62419572898486,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00025047314553748996",
+            "extra": "mean: 7.774586999999834 msec\nrounds: 103"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 66.76842985355263,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004140704027545932",
+            "extra": "mean: 14.977138180325081 msec\nrounds: 61"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 43.09373931477636,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003314913565349183",
+            "extra": "mean: 23.20522692856944 msec\nrounds: 14"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 23.963953735197894,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010805543579655675",
+            "extra": "mean: 41.72934112000121 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 20.195574171079002,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009783507248037551",
+            "extra": "mean: 49.515799428572144 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 154.1982595380069,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003311510054471722",
+            "extra": "mean: 6.485157504346015 msec\nrounds: 115"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 116.53624832221328,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00041186605155787596",
+            "extra": "mean: 8.5810210505068 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 65.71421771517942,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005360980200539154",
+            "extra": "mean: 15.217407050849037 msec\nrounds: 59"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 38.88900785490257,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007856848746971692",
+            "extra": "mean: 25.71420705128465 msec\nrounds: 39"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 23.472186895223942,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006662927407307775",
+            "extra": "mean: 42.603614416664236 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 19.551441923486564,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010381994816238548",
+            "extra": "mean: 51.147122749996754 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 144.34300206137095,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00028604915250144655",
+            "extra": "mean: 6.92794237142737 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 110.35724982312234,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00037081294996688216",
+            "extra": "mean: 9.061479890109378 msec\nrounds: 91"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 51.04193251006557,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00850422483749642",
+            "extra": "mean: 19.59173469387739 msec\nrounds: 49"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 30.69508015609047,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013876224013155039",
+            "extra": "mean: 32.57851078787887 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 16.401106850274978,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02378177209746123",
+            "extra": "mean: 60.97149473684663 msec\nrounds: 19"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 14.233446048909967,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02072463403286405",
+            "extra": "mean: 70.25705486666614 msec\nrounds: 15"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.0964739138989774,
+            "unit": "iter/sec",
+            "range": "stddev: 0.025758765018037276",
+            "extra": "mean: 476.9913870000039 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 43.92601487035199,
+            "unit": "iter/sec",
+            "range": "stddev: 0.017996745944520737",
+            "extra": "mean: 22.765552553572377 msec\nrounds: 56"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7929373510381776,
+            "unit": "iter/sec",
+            "range": "stddev: 0.05729623725508751",
+            "extra": "mean: 1.261133680600011 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 16.24253846799259,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03446249995275843",
+            "extra": "mean: 61.56673120833863 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.596548718369954,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008832904437866338",
+            "extra": "mean: 116.32575266666043 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.293238094594304,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011340135527870306",
+            "extra": "mean: 188.92027566665584 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 182.6073625814731,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004043353063087333",
+            "extra": "mean: 5.476230453489161 msec\nrounds: 86"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 128.76059812385128,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016873833068691962",
+            "extra": "mean: 7.766351000001783 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 237.6718382097568,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010095423137681268",
+            "extra": "mean: 4.207482079208106 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 219.9624639555136,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012103576073493465",
+            "extra": "mean: 4.546230215907407 msec\nrounds: 88"
+          }
+        ]
       }
     ]
   }

From c9c233145faee4ba86b4d1fa4e36bd18a4b2041e Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 17 Jul 2023 16:17:39 +0000
Subject: [PATCH 030/150] add TiPg Benchmarks (pytest) benchmark result for
 09926e009f1e3467a934c51bfbfb55ed154e9925

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 58303222..2077d22d 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1689584169695,
+  "lastUpdate": 1689610659473,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -6162,6 +6162,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.546230215907407 msec\nrounds: 88"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "09926e009f1e3467a934c51bfbfb55ed154e9925",
+          "message": "Merge pull request #94 from jackharrhy/fix-popup-xss\n\ngenerate popup contents without string concat.",
+          "timestamp": "2023-07-17T18:09:09+02:00",
+          "tree_id": "3e8ff6d6a110e7de53098796b07d426be8206167",
+          "url": "https://github.com/developmentseed/tipg/commit/09926e009f1e3467a934c51bfbfb55ed154e9925"
+        },
+        "date": 1689610658937,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 157.08993949514078,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00131095681256047",
+            "extra": "mean: 6.3657800315782325 msec\nrounds: 95"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 130.4336905745461,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00042979914363284056",
+            "extra": "mean: 7.666730854544632 msec\nrounds: 110"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 68.6533728993382,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00029994622009924183",
+            "extra": "mean: 14.565926738460943 msec\nrounds: 65"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 41.666960677142725,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005848809272266471",
+            "extra": "mean: 23.99983065116076 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 24.24964340535619,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007605760164139921",
+            "extra": "mean: 41.23771980000015 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 21.12975741770604,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00029231187255902966",
+            "extra": "mean: 47.32662000000213 msec\nrounds: 12"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 161.28585928995386,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022130476877193415",
+            "extra": "mean: 6.200171573642028 msec\nrounds: 129"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 129.8145039805777,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022843822165496768",
+            "extra": "mean: 7.703299472219343 msec\nrounds: 108"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 65.18330175847625,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00507403414497331",
+            "extra": "mean: 15.341352355934665 msec\nrounds: 59"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 41.95817625568928,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0027260480949199625",
+            "extra": "mean: 23.83325704878333 msec\nrounds: 41"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 25.33899253829354,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00047933065673579637",
+            "extra": "mean: 39.46486816667042 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 20.847083660219795,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005487279622434933",
+            "extra": "mean: 47.96834014285607 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 153.81684997747553,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019055174015492114",
+            "extra": "mean: 6.5012383243216645 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 113.31261258287795,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005230053657856481",
+            "extra": "mean: 8.825142913976944 msec\nrounds: 93"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 53.25101657077926,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006165693832716742",
+            "extra": "mean: 18.778984222223016 msec\nrounds: 54"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 32.07567431954046,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010787551927474093",
+            "extra": "mean: 31.176273647060984 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 17.35671288691875,
+            "unit": "iter/sec",
+            "range": "stddev: 0.018377960863238722",
+            "extra": "mean: 57.614595950001046 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 13.937586890075076,
+            "unit": "iter/sec",
+            "range": "stddev: 0.022728332493805396",
+            "extra": "mean: 71.74843162499656 msec\nrounds: 16"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.376007733487004,
+            "unit": "iter/sec",
+            "range": "stddev: 0.031639011327349406",
+            "extra": "mean: 420.8740509999984 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 49.51442080314458,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01482081018555134",
+            "extra": "mean: 20.19613647457816 msec\nrounds: 59"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.9128918734977471,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04423541774682363",
+            "extra": "mean: 1.0954199823999944 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 19.529232685642768,
+            "unit": "iter/sec",
+            "range": "stddev: 0.028005493756600875",
+            "extra": "mean: 51.20528881481176 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.875278856947379,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00825992006152124",
+            "extra": "mean: 112.67251611111027 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.249840876666751,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011593922632730068",
+            "extra": "mean: 190.48196383333504 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 193.8056997202763,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002798692247970352",
+            "extra": "mean: 5.159806968749218 msec\nrounds: 96"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 131.95496073517506,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001649083732080034",
+            "extra": "mean: 7.578343356161761 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 251.0762254428134,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014461193399800207",
+            "extra": "mean: 3.982854203883059 msec\nrounds: 103"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 231.16644101096043,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015163738411850874",
+            "extra": "mean: 4.325887423912827 msec\nrounds: 92"
+          }
+        ]
       }
     ]
   }

From 36c0a343ab16cb45d2b7166d529f0bde072adce9 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 25 Jul 2023 08:58:52 +0000
Subject: [PATCH 031/150] add TiPg Benchmarks (pytest) benchmark result for
 ef9aa7e01d573e13c142187c26fc51618932396e

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 2077d22d..b21794c1 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1689610659473,
+  "lastUpdate": 1690275532617,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -6382,6 +6382,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.325887423912827 msec\nrounds: 92"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "ef9aa7e01d573e13c142187c26fc51618932396e",
+          "message": "Merge pull request #98 from developmentseed/pinGeojsonDependency\n\nupdate dependencies to avoid pydantic breaking changes",
+          "timestamp": "2023-07-25T10:52:48+02:00",
+          "tree_id": "539b3540cd50def6cd989c62868ac5909c583c9b",
+          "url": "https://github.com/developmentseed/tipg/commit/ef9aa7e01d573e13c142187c26fc51618932396e"
+        },
+        "date": 1690275532094,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 162.8768418077316,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014291144866682533",
+            "extra": "mean: 6.139608239582965 msec\nrounds: 96"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 131.26408173475374,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015357209475316236",
+            "extra": "mean: 7.61823026363531 msec\nrounds: 110"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 70.31550556529096,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002209649164937221",
+            "extra": "mean: 14.221614307692876 msec\nrounds: 65"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 42.444965773471324,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0056235848459243445",
+            "extra": "mean: 23.559920046513824 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 24.822152775287208,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0074784378140253654",
+            "extra": "mean: 40.286594360002255 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 19.841980362402648,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011376590894339475",
+            "extra": "mean: 50.39819522726867 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 160.72512203156603,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003211231980091524",
+            "extra": "mean: 6.221802711113217 msec\nrounds: 135"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 129.9964730620807,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020534991985704585",
+            "extra": "mean: 7.692516392521229 msec\nrounds: 107"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 70.06935558240505,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003675542916446458",
+            "extra": "mean: 14.271574095239826 msec\nrounds: 63"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 42.97037261559688,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010405199918245348",
+            "extra": "mean: 23.271848465122034 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 24.799471842675526,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0024719022472045873",
+            "extra": "mean: 40.32343939999464 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 21.08552326189145,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000683283063092806",
+            "extra": "mean: 47.425903904757845 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 152.7215737736532,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020406499752298704",
+            "extra": "mean: 6.547863378373038 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 115.84325586254252,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00044184675780720867",
+            "extra": "mean: 8.632354059407495 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 55.31530787649797,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0055446640081864",
+            "extra": "mean: 18.078178326923386 msec\nrounds: 52"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 35.603734936562866,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004790439509488224",
+            "extra": "mean: 28.086940928578283 msec\nrounds: 14"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 18.33330858336726,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01539929712629881",
+            "extra": "mean: 54.54552818181666 msec\nrounds: 11"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 14.229131382497883,
+            "unit": "iter/sec",
+            "range": "stddev: 0.019392425393389413",
+            "extra": "mean: 70.2783587499951 msec\nrounds: 16"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.3727071535424833,
+            "unit": "iter/sec",
+            "range": "stddev: 0.027937398687746674",
+            "extra": "mean: 421.45951239999704 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 48.81996667569068,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01629437126460049",
+            "extra": "mean: 20.48342242105499 msec\nrounds: 57"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.905479818860201,
+            "unit": "iter/sec",
+            "range": "stddev: 0.05973554059286627",
+            "extra": "mean: 1.1043868446000034 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 19.77948457750188,
+            "unit": "iter/sec",
+            "range": "stddev: 0.025886823406096333",
+            "extra": "mean: 50.55743470370544 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 9.211923157137715,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007922079125153454",
+            "extra": "mean: 108.55496544444856 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.494551211989546,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010938470154822907",
+            "extra": "mean: 181.9984856666584 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 197.89803374213903,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001627437607611295",
+            "extra": "mean: 5.053107305265089 msec\nrounds: 95"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 133.66390270906405,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014528656655729143",
+            "extra": "mean: 7.481451459461147 msec\nrounds: 74"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 253.99985005861294,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011601850889689538",
+            "extra": "mean: 3.9370101981132675 msec\nrounds: 106"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 230.46653455834206,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001472328339323106",
+            "extra": "mean: 4.3390247608676225 msec\nrounds: 92"
+          }
+        ]
       }
     ]
   }

From c1b30ed6245307d4a7c4ba7bfc7d07475d929e5d Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 25 Jul 2023 09:07:36 +0000
Subject: [PATCH 032/150] add TiPg Benchmarks (pytest) benchmark result for
 2061bbc06ab6959a90bcfa1bb88bd573e2809373

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index b21794c1..79c9bf96 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1690275532617,
+  "lastUpdate": 1690276056377,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -6602,6 +6602,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.3390247608676225 msec\nrounds: 92"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "2061bbc06ab6959a90bcfa1bb88bd573e2809373",
+          "message": "Merge pull request #99 from developmentseed/catalogDependency\n\nadd Catalog Dependency",
+          "timestamp": "2023-07-25T11:02:26+02:00",
+          "tree_id": "7b2bf21d8eb5be7bfd6b876f9f78896eec02c62e",
+          "url": "https://github.com/developmentseed/tipg/commit/2061bbc06ab6959a90bcfa1bb88bd573e2809373"
+        },
+        "date": 1690276055742,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 160.73088745874577,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008477948339344006",
+            "extra": "mean: 6.221579534653328 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 131.18424312560626,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019136217282508819",
+            "extra": "mean: 7.622866711534252 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 70.25219942992248,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00037083638633051135",
+            "extra": "mean: 14.234429784614978 msec\nrounds: 65"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 43.19384768209505,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005580918752098889",
+            "extra": "mean: 23.151445255814185 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 24.681535945349005,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008139005494555887",
+            "extra": "mean: 40.51611707692123 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 20.050194093349155,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010989972202283033",
+            "extra": "mean: 49.874828909098184 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 163.17242368177452,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018007095632830772",
+            "extra": "mean: 6.128486526315504 msec\nrounds: 133"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 131.43505934857544,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002322912721582009",
+            "extra": "mean: 7.608320070430572 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 71.09938152294555,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006921350357553041",
+            "extra": "mean: 14.064819954548758 msec\nrounds: 66"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 44.432300333765156,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007073382518883997",
+            "extra": "mean: 22.50614963637335 msec\nrounds: 44"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 25.836842715238934,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004436099682314585",
+            "extra": "mean: 38.70441953846729 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 20.9081978321747,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005151181300728728",
+            "extra": "mean: 47.828129809502 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 153.76964096432596,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020822780867590387",
+            "extra": "mean: 6.503234277772663 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 117.79915695116237,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00037352664752489617",
+            "extra": "mean: 8.489025099004603 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 54.73728173833255,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005735706523901559",
+            "extra": "mean: 18.269084036368938 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 32.70661186611327,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010276801681195663",
+            "extra": "mean: 30.57485758823224 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 18.325455064432763,
+            "unit": "iter/sec",
+            "range": "stddev: 0.015187151019613094",
+            "extra": "mean: 54.568904100005966 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 14.442825146040152,
+            "unit": "iter/sec",
+            "range": "stddev: 0.019494042619571987",
+            "extra": "mean: 69.23853123529464 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.570630415068958,
+            "unit": "iter/sec",
+            "range": "stddev: 0.032980797626313285",
+            "extra": "mean: 389.00963520000005 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 52.48264231035394,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014000218007707151",
+            "extra": "mean: 19.053918704903257 msec\nrounds: 61"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.9173636366557715,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04390309031968965",
+            "extra": "mean: 1.0900802691999842 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 19.420962143517784,
+            "unit": "iter/sec",
+            "range": "stddev: 0.030304060950199413",
+            "extra": "mean: 51.49075481483157 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.91661053858425,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0073012562479160366",
+            "extra": "mean: 112.15023866667353 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.386958382769641,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01204326734994344",
+            "extra": "mean: 185.63351133332162 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 195.1233501024895,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019313072245827218",
+            "extra": "mean: 5.124963257727715 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 131.85896380628483,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005367869416681082",
+            "extra": "mean: 7.583860597214374 msec\nrounds: 72"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 250.59048574668736,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00023965552132327656",
+            "extra": "mean: 3.990574490568899 msec\nrounds: 106"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 231.57511954291996,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011095163612761794",
+            "extra": "mean: 4.31825319565326 msec\nrounds: 92"
+          }
+        ]
       }
     ]
   }

From 752b011ff77741dda95017ab5e8d90d8fc15c7ac Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 25 Jul 2023 09:38:15 +0000
Subject: [PATCH 033/150] add TiPg Benchmarks (pytest) benchmark result for
 212d04b8c3855647c5c838bd86f99f224a52dd7b

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 79c9bf96..347de42e 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1690276056377,
+  "lastUpdate": 1690277895895,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -6822,6 +6822,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.31825319565326 msec\nrounds: 92"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "212d04b8c3855647c5c838bd86f99f224a52dd7b",
+          "message": "add python-dotenv",
+          "timestamp": "2023-07-25T11:31:58+02:00",
+          "tree_id": "54afd9f2b4a79c19ea0fd62eff333ad152526dac",
+          "url": "https://github.com/developmentseed/tipg/commit/212d04b8c3855647c5c838bd86f99f224a52dd7b"
+        },
+        "date": 1690277894988,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 105.00325163571058,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010169796231847665",
+            "extra": "mean: 9.523514599998443 msec\nrounds: 65"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 87.78636793902102,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007291133369957465",
+            "extra": "mean: 11.391290282047315 msec\nrounds: 78"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 47.811910893223505,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001228633490402312",
+            "extra": "mean: 20.91529038095259 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 28.883540506574608,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008791621050958194",
+            "extra": "mean: 34.62179436666967 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 17.432584218807882,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011289843905308823",
+            "extra": "mean: 57.36384161110822 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 14.302747018488358,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01245222382226618",
+            "extra": "mean: 69.91663900000162 msec\nrounds: 15"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 103.47716751981328,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008407276568322371",
+            "extra": "mean: 9.663967655555755 msec\nrounds: 90"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 78.11131776800298,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0017439816085647699",
+            "extra": "mean: 12.802242089553296 msec\nrounds: 67"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 43.22166784107944,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009460560136786619",
+            "extra": "mean: 23.136543542856156 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 26.391769656115443,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0020038642735650094",
+            "extra": "mean: 37.89060047999783 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 14.846047746779767,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002811127261065107",
+            "extra": "mean: 67.35799433333418 msec\nrounds: 15"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 12.188881986866368,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0043335044426142805",
+            "extra": "mean: 82.04197900000256 msec\nrounds: 13"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 100.68838072758113,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007731553135188455",
+            "extra": "mean: 9.931632555553396 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 74.01738951955632,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0030334791376776206",
+            "extra": "mean: 13.510338671641312 msec\nrounds: 67"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 38.24080331553383,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00888762771810401",
+            "extra": "mean: 26.150078274997668 msec\nrounds: 40"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 23.419021132710945,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013031787318397266",
+            "extra": "mean: 42.70033296153578 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 12.803280403926665,
+            "unit": "iter/sec",
+            "range": "stddev: 0.023091136311944368",
+            "extra": "mean: 78.10498313333105 msec\nrounds: 15"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 10.104908467916458,
+            "unit": "iter/sec",
+            "range": "stddev: 0.025669768684655887",
+            "extra": "mean: 98.96180684615257 msec\nrounds: 13"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.8090879926799093,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03709925361481404",
+            "extra": "mean: 552.7647101999946 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 37.28878165330165,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01934732301181426",
+            "extra": "mean: 26.817717170211097 msec\nrounds: 47"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.6866186540727094,
+            "unit": "iter/sec",
+            "range": "stddev: 0.07817089856328971",
+            "extra": "mean: 1.4564125137999895 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 15.27703100679635,
+            "unit": "iter/sec",
+            "range": "stddev: 0.036974224320526015",
+            "extra": "mean: 65.45774500000205 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 6.554344791313247,
+            "unit": "iter/sec",
+            "range": "stddev: 0.018246665639017397",
+            "extra": "mean: 152.5705515714313 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 4.043692544365607,
+            "unit": "iter/sec",
+            "range": "stddev: 0.020120889614549404",
+            "extra": "mean: 247.29872239999509 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 126.54978183676988,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009175786530689313",
+            "extra": "mean: 7.902028636365799 msec\nrounds: 66"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 89.43707994684456,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005896479763260558",
+            "extra": "mean: 11.181044826087048 msec\nrounds: 46"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 154.59202436722595,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010980549418486722",
+            "extra": "mean: 6.468639013514357 msec\nrounds: 74"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 143.79954404461074,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009297213461523417",
+            "extra": "mean: 6.954124970589415 msec\nrounds: 68"
+          }
+        ]
       }
     ]
   }

From de2e20f0e5ff0be4b65ecbdca41c3e3ba2017ad1 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 25 Jul 2023 10:05:58 +0000
Subject: [PATCH 034/150] add TiPg Benchmarks (pytest) benchmark result for
 d82345bc831fdb7f6f7d87d8705256194c52eb74

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 347de42e..0ef4d5b7 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1690277895895,
+  "lastUpdate": 1690279558614,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -7042,6 +7042,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 6.954124970589415 msec\nrounds: 68"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "d82345bc831fdb7f6f7d87d8705256194c52eb74",
+          "message": "Merge pull request #96 from jackharrhy/fix-functions-without-params\n\nfix function based collections without params",
+          "timestamp": "2023-07-25T12:00:19+02:00",
+          "tree_id": "b88bf18a247eae9f32660fe878bfd78fd2a7fe02",
+          "url": "https://github.com/developmentseed/tipg/commit/d82345bc831fdb7f6f7d87d8705256194c52eb74"
+        },
+        "date": 1690279557794,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 147.6843872139382,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003965843132542051",
+            "extra": "mean: 6.771196460675172 msec\nrounds: 89"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 122.07321596718607,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003837201132353725",
+            "extra": "mean: 8.19180515624988 msec\nrounds: 96"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 66.26072124147035,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005756287985380435",
+            "extra": "mean: 15.091897299996996 msec\nrounds: 60"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 41.51872109155455,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007345007397036521",
+            "extra": "mean: 24.0855203076911 msec\nrounds: 13"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 23.06508607474991,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010393128132840717",
+            "extra": "mean: 43.355571999999256 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 18.840460433646307,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012490159939016336",
+            "extra": "mean: 53.077259100003005 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 122.17063906352409,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006015271471279031",
+            "extra": "mean: 8.18527272727155 msec\nrounds: 110"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 109.73744650569799,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007354138473109917",
+            "extra": "mean: 9.11265964210381 msec\nrounds: 95"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 59.52040603877231,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006591653141157724",
+            "extra": "mean: 16.800960654545737 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 37.60410676813701,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0026505493424491613",
+            "extra": "mean: 26.59284014285715 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 21.936398398632065,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0023682327445616914",
+            "extra": "mean: 45.58633472221945 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 17.847738897177624,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0035988112931765077",
+            "extra": "mean: 56.02950635714064 msec\nrounds: 14"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 131.56996084964695,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000314188819532124",
+            "extra": "mean: 7.600519096777427 msec\nrounds: 31"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 106.99816750607526,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00039152298150208533",
+            "extra": "mean: 9.345954452380886 msec\nrounds: 84"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 48.0192400571532,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008643942567900482",
+            "extra": "mean: 20.82498595999823 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 27.290515719062352,
+            "unit": "iter/sec",
+            "range": "stddev: 0.019291810433902223",
+            "extra": "mean: 36.642766677417626 msec\nrounds: 31"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 15.496152587913079,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02621048499740607",
+            "extra": "mean: 64.53214721052727 msec\nrounds: 19"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 13.556907973677824,
+            "unit": "iter/sec",
+            "range": "stddev: 0.025106102391975502",
+            "extra": "mean: 73.76313256249922 msec\nrounds: 16"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.999749696129927,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03252189993674356",
+            "extra": "mean: 500.0625838000019 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 40.45541960421821,
+            "unit": "iter/sec",
+            "range": "stddev: 0.020815020731728105",
+            "extra": "mean: 24.718567000000462 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7745983615666685,
+            "unit": "iter/sec",
+            "range": "stddev: 0.05669248544009443",
+            "extra": "mean: 1.2909916281999927 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 17.27678484680565,
+            "unit": "iter/sec",
+            "range": "stddev: 0.031180264279218745",
+            "extra": "mean: 57.881139857158814 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.412960980765318,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011306347912375565",
+            "extra": "mean: 118.86421466666913 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.179645963083899,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011396115931285629",
+            "extra": "mean: 193.06338833332384 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 181.56865256917774,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021091527212534252",
+            "extra": "mean: 5.507558633332918 msec\nrounds: 90"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 125.61026770074818,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022743750511270666",
+            "extra": "mean: 7.961132623189558 msec\nrounds: 69"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 216.84198217968503,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005233457988317943",
+            "extra": "mean: 4.6116531030940076 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 210.24746318390163,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00030318728144414475",
+            "extra": "mean: 4.756299956519849 msec\nrounds: 69"
+          }
+        ]
       }
     ]
   }

From 1726f54218d1955feba145664c761339dc9b6e7c Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 26 Jul 2023 15:35:20 +0000
Subject: [PATCH 035/150] add TiPg Benchmarks (pytest) benchmark result for
 09c9a8e2d8c723c57fe68ab8ea3e5845e857e0f1

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 0ef4d5b7..0518dd9b 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1690279558614,
+  "lastUpdate": 1690385720335,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -7262,6 +7262,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.756299956519849 msec\nrounds: 69"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "09c9a8e2d8c723c57fe68ab8ea3e5845e857e0f1",
+          "message": "Merge pull request #89 from RemcoMeeuwissen/fix-decimal-error\n\nFixed a bug where floats in the database would not be serialized corr…",
+          "timestamp": "2023-07-26T17:29:13+02:00",
+          "tree_id": "e25d6e93cef954669373c72b02dcbba720f72d1e",
+          "url": "https://github.com/developmentseed/tipg/commit/09c9a8e2d8c723c57fe68ab8ea3e5845e857e0f1"
+        },
+        "date": 1690385719767,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 146.18751005180297,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00029832764698919614",
+            "extra": "mean: 6.8405296707334315 msec\nrounds: 82"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 120.38756003476055,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00029826656208947",
+            "extra": "mean: 8.30650608510764 msec\nrounds: 94"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 67.60263446534374,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00044847616515546125",
+            "extra": "mean: 14.792322931033798 msec\nrounds: 58"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 40.20836591090399,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008988461427947429",
+            "extra": "mean: 24.870446170726197 msec\nrounds: 41"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 23.288125653753895,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013378839088361016",
+            "extra": "mean: 42.94033855999942 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 18.17812090940749,
+            "unit": "iter/sec",
+            "range": "stddev: 0.019792512389984716",
+            "extra": "mean: 55.01118652382177 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 151.3327212210829,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018346444056715366",
+            "extra": "mean: 6.607956243244275 msec\nrounds: 111"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 118.76741005719592,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00042365365117087847",
+            "extra": "mean: 8.419818193546703 msec\nrounds: 93"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 63.07405677048163,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0016585666018277432",
+            "extra": "mean: 15.854378982453454 msec\nrounds: 57"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 37.35981928488639,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0029133472516693934",
+            "extra": "mean: 26.766724763161307 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 22.926316446709453,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005463700381408414",
+            "extra": "mean: 43.617996913042134 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 18.869425987452864,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005825550337440239",
+            "extra": "mean: 52.995782736843466 msec\nrounds: 19"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 135.0724075304927,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00040276175779324955",
+            "extra": "mean: 7.403436558826784 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 101.22630861657937,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012319796687617075",
+            "extra": "mean: 9.878854752945271 msec\nrounds: 85"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 49.27847190556349,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009704152078359809",
+            "extra": "mean: 20.292837040815403 msec\nrounds: 49"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 29.63249262229695,
+            "unit": "iter/sec",
+            "range": "stddev: 0.016618072396826198",
+            "extra": "mean: 33.74673918749416 msec\nrounds: 32"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 16.007019499286542,
+            "unit": "iter/sec",
+            "range": "stddev: 0.026188953326994925",
+            "extra": "mean: 62.47259210526803 msec\nrounds: 19"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 14.119575880097665,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02429894988819139",
+            "extra": "mean: 70.82365706250116 msec\nrounds: 16"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.879165021991727,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04335137191477952",
+            "extra": "mean: 532.1512417999884 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 43.08388816961201,
+            "unit": "iter/sec",
+            "range": "stddev: 0.020065420963998985",
+            "extra": "mean: 23.210532811319506 msec\nrounds: 53"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7208458288005087,
+            "unit": "iter/sec",
+            "range": "stddev: 0.062489376785663894",
+            "extra": "mean: 1.387259189200006 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 15.116968259964022,
+            "unit": "iter/sec",
+            "range": "stddev: 0.040397484796777294",
+            "extra": "mean: 66.15083016668184 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.55581499944816,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008374062458492352",
+            "extra": "mean: 116.87957255556587 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.117666418353592,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013699994045810519",
+            "extra": "mean: 195.40155966666362 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 181.42094304596816,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00033807579256629316",
+            "extra": "mean: 5.512042784093684 msec\nrounds: 88"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 126.40577747277955,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015474747881671572",
+            "extra": "mean: 7.911030808819967 msec\nrounds: 68"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 235.4387070442592,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011828061156006256",
+            "extra": "mean: 4.2473899578968295 msec\nrounds: 95"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 217.4276206829725,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011603969520798529",
+            "extra": "mean: 4.599231674700993 msec\nrounds: 83"
+          }
+        ]
       }
     ]
   }

From 166eeaf3098082717471a6c43dd9c960cc2c62fb Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 26 Jul 2023 23:37:20 +0000
Subject: [PATCH 036/150] add TiPg Benchmarks (pytest) benchmark result for
 b221c04cee4e04d4f915c22d24059b78ecd7a1f0

---
 dev/bench/data.js | 222 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 221 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 0518dd9b..9adcbadf 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1690385720335,
+  "lastUpdate": 1690414640643,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -7482,6 +7482,226 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.599231674700993 msec\nrounds: 83"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "b221c04cee4e04d4f915c22d24059b78ecd7a1f0",
+          "message": "Bump version: 0.2.0 → 0.3.0",
+          "timestamp": "2023-07-27T01:31:28+02:00",
+          "tree_id": "97a48a26fbeb50540dccf613b575430e41a7402d",
+          "url": "https://github.com/developmentseed/tipg/commit/b221c04cee4e04d4f915c22d24059b78ecd7a1f0"
+        },
+        "date": 1690414640060,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 163.99835462203632,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013590631526260664",
+            "extra": "mean: 6.097622151787314 msec\nrounds: 112"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 131.89288972563457,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017109394123749128",
+            "extra": "mean: 7.581909851851863 msec\nrounds: 108"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 69.9067717720951,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018149112777717606",
+            "extra": "mean: 14.30476582812501 msec\nrounds: 64"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 42.3602657149329,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005808810662568753",
+            "extra": "mean: 23.607028500000144 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 24.782744902528837,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007255799218981546",
+            "extra": "mean: 40.350655423078656 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 19.929534839976935,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010679224949665481",
+            "extra": "mean: 50.176785761907794 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 162.07547605591162,
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+          {
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+            "extra": "mean: 7.63800825000121 msec\nrounds: 108"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 69.17395727363494,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003111440886636293",
+            "extra": "mean: 14.456307538460596 msec\nrounds: 65"
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+            "extra": "mean: 22.515739813954053 msec\nrounds: 43"
+          },
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+          },
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+            "value": 20.94286029579706,
+            "unit": "iter/sec",
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+            "extra": "mean: 47.748969619048935 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 154.17223999305912,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016772981834538235",
+            "extra": "mean: 6.486252000003504 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 117.13054824490762,
+            "unit": "iter/sec",
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+            "extra": "mean: 8.537482450001903 msec\nrounds: 100"
+          },
+          {
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+            "value": 55.66157600370841,
+            "unit": "iter/sec",
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+            "extra": "mean: 17.9657148035725 msec\nrounds: 56"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 32.80307552263518,
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
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+            "extra": "mean: 54.888838600003 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 14.379071215156278,
+            "unit": "iter/sec",
+            "range": "stddev: 0.019725252532199315",
+            "extra": "mean: 69.54552105882532 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.5548172289323636,
+            "unit": "iter/sec",
+            "range": "stddev: 0.024185337516436558",
+            "extra": "mean: 391.4174324000044 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 52.58035757113382,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012849280796398741",
+            "extra": "mean: 19.018508929825 msec\nrounds: 57"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.9402115984562898,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03827049720294203",
+            "extra": "mean: 1.063590368000007 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 22.202407190538096,
+            "unit": "iter/sec",
+            "range": "stddev: 0.020684992914153533",
+            "extra": "mean: 45.04016125000021 msec\nrounds: 8"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.95564081246,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008242105019332958",
+            "extra": "mean: 111.66146800000041 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.455393063925138,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011136893963916726",
+            "extra": "mean: 183.30484866667027 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 192.22413473324917,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004134576947355003",
+            "extra": "mean: 5.2022603789462085 msec\nrounds: 95"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 132.05119145022482,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013179581227348825",
+            "extra": "mean: 7.5728207297314585 msec\nrounds: 74"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 249.04050683784044,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015431250215822338",
+            "extra": "mean: 4.01541103773587 msec\nrounds: 106"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 228.36798784400196,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001136653364245568",
+            "extra": "mean: 4.378897451612612 msec\nrounds: 93"
+          }
+        ]
       }
     ]
   }

From 30f4c93ad33eb525cc5ecdb21991c188b41a6b90 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Fri, 28 Jul 2023 09:13:34 +0000
Subject: [PATCH 037/150] add TiPg Benchmarks (pytest) benchmark result for
 5b56d5a361649f81fb0937df84f30c4b7edfb6f5

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 9adcbadf..7006ef97 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1690414640643,
+  "lastUpdate": 1690535614500,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -7702,6 +7702,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.378897451612612 msec\nrounds: 93"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "5b56d5a361649f81fb0937df84f30c4b7edfb6f5",
+          "message": "Merge pull request #103 from developmentseed/fixQueryables\n\nfix queryable mediatype and add more benchmarks",
+          "timestamp": "2023-07-28T11:07:26+02:00",
+          "tree_id": "163a8118953eb99a57ae4aba666aa91a04fa5193",
+          "url": "https://github.com/developmentseed/tipg/commit/5b56d5a361649f81fb0937df84f30c4b7edfb6f5"
+        },
+        "date": 1690535613569,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 202.51897260257877,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0014283228472898124",
+            "extra": "mean: 4.937808972408675 msec\nrounds: 145"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 74.20033929055055,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0013100572335618492",
+            "extra": "mean: 13.477027323072504 msec\nrounds: 65"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 205.11501743333085,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00768592623385865",
+            "extra": "mean: 4.87531343396167 msec\nrounds: 53"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 116.41186648832058,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010435404014175328",
+            "extra": "mean: 8.590189558556114 msec\nrounds: 111"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 233.67830422532305,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010250747421822542",
+            "extra": "mean: 4.27938743956202 msec\nrounds: 182"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 271.2123775590695,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007912901141325826",
+            "extra": "mean: 3.6871473529345167 msec\nrounds: 68"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 298.54969209153825,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012380950744016938",
+            "extra": "mean: 3.349526147537912 msec\nrounds: 244"
+          },
+          {
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+            "value": 109.75499796886919,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012883314082100473",
+            "extra": "mean: 9.11120239174565 msec\nrounds: 97"
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+            "extra": "mean: 19.37031548979752 msec\nrounds: 49"
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+            "extra": "mean: 9.532752733334368 msec\nrounds: 60"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 173.9578480087039,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001338161465229377",
+            "extra": "mean: 5.748519031748228 msec\nrounds: 63"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 187.88918753736007,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013290524649129664",
+            "extra": "mean: 5.3222860405480175 msec\nrounds: 74"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 236.42139222899286,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021656108700195443",
+            "extra": "mean: 4.229735687502512 msec\nrounds: 16"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 67.89948045484856,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0014375524808720752",
+            "extra": "mean: 14.72765319117537 msec\nrounds: 68"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 64.52472859343712,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001309633717668366",
+            "extra": "mean: 15.49793423077972 msec\nrounds: 65"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 13.45823689721071,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007530971503977255",
+            "extra": "mean: 74.30393800002548 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 83.65954468033804,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010336480791151698",
+            "extra": "mean: 11.953208732141515 msec\nrounds: 56"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 74.63303857482894,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015180085814139258",
+            "extra": "mean: 13.398891685180084 msec\nrounds: 54"
+          }
+        ]
       }
     ]
   }

From ae1e46de3fdc853fa485173a034869fc14ea3986 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Fri, 28 Jul 2023 09:14:06 +0000
Subject: [PATCH 038/150] add TiPg Benchmarks (pytest) benchmark result for
 9ab9dfa8353beb2ae928fbfa75087522a9ab67af

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 7006ef97..311c959f 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1690535614500,
+  "lastUpdate": 1690535646592,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -8013,6 +8013,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 13.398891685180084 msec\nrounds: 54"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "9ab9dfa8353beb2ae928fbfa75087522a9ab67af",
+          "message": "Bump version: 0.3.0 → 0.3.1",
+          "timestamp": "2023-07-28T11:08:16+02:00",
+          "tree_id": "d5059504e6c2a0890448348a9ffe3588e985decf",
+          "url": "https://github.com/developmentseed/tipg/commit/9ab9dfa8353beb2ae928fbfa75087522a9ab67af"
+        },
+        "date": 1690535646012,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 286.76431861406854,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008631645712990422",
+            "extra": "mean: 3.487184196531139 msec\nrounds: 173"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 93.16741445249104,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0048601690665402795",
+            "extra": "mean: 10.733366444444274 msec\nrounds: 90"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 331.1665752847282,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004170698124405977",
+            "extra": "mean: 3.019628412499742 msec\nrounds: 80"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 149.6852038516404,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002073632217206974",
+            "extra": "mean: 6.68068703030357 msec\nrounds: 132"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 321.3984230600226,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010395858433282049",
+            "extra": "mean: 3.111402944915027 msec\nrounds: 236"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 369.8120972271591,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013126390478508941",
+            "extra": "mean: 2.704075955053857 msec\nrounds: 89"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 428.55551621483454,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008922848198768916",
+            "extra": "mean: 2.3334199704915264 msec\nrounds: 305"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 155.72262554154105,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000504483262753289",
+            "extra": "mean: 6.421674413222868 msec\nrounds: 121"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 128.39329700588343,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014634961680762984",
+            "extra": "mean: 7.788568588235385 msec\nrounds: 102"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 67.8772736430315,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006327792356177469",
+            "extra": "mean: 14.732471508196221 msec\nrounds: 61"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 44.081607982785386,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003530081623505423",
+            "extra": "mean: 22.685197880951097 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 23.35282556630204,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013460126464505945",
+            "extra": "mean: 42.82137067999997 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 20.392610104973738,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009992079435067289",
+            "extra": "mean: 49.03737161905042 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 154.20994533333356,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019333902967295114",
+            "extra": "mean: 6.4846660689648985 msec\nrounds: 116"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 123.9004723224775,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002240856687799088",
+            "extra": "mean: 8.070994252526221 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 65.32580323816155,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007065386519347086",
+            "extra": "mean: 15.307886783332 msec\nrounds: 60"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 41.47027674106725,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005445667071152338",
+            "extra": "mean: 24.113656300000486 msec\nrounds: 40"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 24.04888286556055,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00044361496464213825",
+            "extra": "mean: 41.58197308333437 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 19.565070938241742,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015025850679868417",
+            "extra": "mean: 51.11149370000021 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 147.26623118270118,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002374096732250611",
+            "extra": "mean: 6.790422977276995 msec\nrounds: 44"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 101.92727049243763,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005094840757490294",
+            "extra": "mean: 9.810917089889049 msec\nrounds: 89"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 52.254645824650176,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007604973333825073",
+            "extra": "mean: 19.137054403845337 msec\nrounds: 52"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 30.829754515686652,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013477882325261469",
+            "extra": "mean: 32.43619729411679 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 16.792801315667823,
+            "unit": "iter/sec",
+            "range": "stddev: 0.022320962820431643",
+            "extra": "mean: 59.549326000004044 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 13.762283437033314,
+            "unit": "iter/sec",
+            "range": "stddev: 0.025428806629403767",
+            "extra": "mean: 72.66236047057947 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.15747557290408,
+            "unit": "iter/sec",
+            "range": "stddev: 0.034427315609366446",
+            "extra": "mean: 463.5046683999974 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 46.52843960605907,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0171304142536",
+            "extra": "mean: 21.492231599999265 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8080933854748051,
+            "unit": "iter/sec",
+            "range": "stddev: 0.05234569413066211",
+            "extra": "mean: 1.2374807392000093 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 16.85727368076158,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03381256955190462",
+            "extra": "mean: 59.32157351999649 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.71820430688592,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008223568872350472",
+            "extra": "mean: 114.70251955556579 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.289346777609338,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011246058703993067",
+            "extra": "mean: 189.05926233333048 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 185.62194753418638,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022190245007439917",
+            "extra": "mean: 5.38729397726973 msec\nrounds: 88"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 128.61958857522302,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010604749713943805",
+            "extra": "mean: 7.774865485712163 msec\nrounds: 70"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 239.85122126550894,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007737705626186187",
+            "extra": "mean: 4.16925123300926 msec\nrounds: 103"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 220.33329131503334,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009342415493519985",
+            "extra": "mean: 4.538578777776239 msec\nrounds: 90"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 282.83060862519676,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00023708223776374031",
+            "extra": "mean: 3.5356852105253798 msec\nrounds: 19"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 88.06658951731735,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00031340708312263283",
+            "extra": "mean: 11.355044012501025 msec\nrounds: 80"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 85.1710554567315,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00028491168310076703",
+            "extra": "mean: 11.741077935895943 msec\nrounds: 78"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 17.639522306499206,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00045765218661362317",
+            "extra": "mean: 56.69087759998774 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 105.76408558275295,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001168761347963868",
+            "extra": "mean: 9.455005397059574 msec\nrounds: 68"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 96.96005271377315,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001396444242341492",
+            "extra": "mean: 10.313525746030768 msec\nrounds: 63"
+          }
+        ]
       }
     ]
   }

From a846f445c716adbae818af0df631ac81a7cf8195 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Sat, 29 Jul 2023 08:07:07 +0000
Subject: [PATCH 039/150] add TiPg Benchmarks (pytest) benchmark result for
 10d2a56bf6b56d1623dc1ae6f22ceaa95eb59b7d

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 311c959f..5b7f9bbf 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1690535646592,
+  "lastUpdate": 1690618027681,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -8324,6 +8324,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 10.313525746030768 msec\nrounds: 63"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "10d2a56bf6b56d1623dc1ae6f22ceaa95eb59b7d",
+          "message": "Merge pull request #102 from developmentseed/pydantic2.0\n\nupdate to pydantic 2.0",
+          "timestamp": "2023-07-29T10:01:17+02:00",
+          "tree_id": "77e2842a6822d543323399fdc5ca616fd9a3fd6b",
+          "url": "https://github.com/developmentseed/tipg/commit/10d2a56bf6b56d1623dc1ae6f22ceaa95eb59b7d"
+        },
+        "date": 1690618026578,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 347.63624223001307,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001117491255011305",
+            "extra": "mean: 2.876570042252244 msec\nrounds: 142"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 222.6552207039787,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011635561210881972",
+            "extra": "mean: 4.491248832334838 msec\nrounds: 167"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 346.7739622912217,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002520407915469434",
+            "extra": "mean: 2.883722853332908 msec\nrounds: 75"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 187.66529824316132,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006705304639214229",
+            "extra": "mean: 5.328635658065466 msec\nrounds: 155"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 447.4476939647223,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001440240619515655",
+            "extra": "mean: 2.2348980975614148 msec\nrounds: 246"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 425.6996979748443,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015402354901536736",
+            "extra": "mean: 2.3490737831321944 msec\nrounds: 83"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 508.80856331630497,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000874752558931561",
+            "extra": "mean: 1.9653757269378775 msec\nrounds: 271"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 147.25991090804237,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00043197708198756447",
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+          },
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+            "value": 120.65338380670893,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000293788096531491",
+            "extra": "mean: 8.288205174601948 msec\nrounds: 63"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 209.00828376383876,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016941295246266134",
+            "extra": "mean: 4.784499360465126 msec\nrounds: 86"
+          },
+          {
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+            "value": 199.46832903604312,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012450571184145074",
+            "extra": "mean: 5.0133272025320075 msec\nrounds: 79"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 513.2823511193628,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007495579445069315",
+            "extra": "mean: 1.9482454399984852 msec\nrounds: 325"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
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+            "unit": "iter/sec",
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+            "extra": "mean: 1.5354051635876262 msec\nrounds: 379"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 568.9938081962266,
+            "unit": "iter/sec",
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+            "extra": "mean: 1.757488369109166 msec\nrounds: 382"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 47.65164679134862,
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+            "range": "stddev: 0.0004888724832032812",
+            "extra": "mean: 20.985633600002984 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 222.13102761327522,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001131033474932489",
+            "extra": "mean: 4.50184744897942 msec\nrounds: 98"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 218.7584351371738,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010967386274578008",
+            "extra": "mean: 4.571252301073301 msec\nrounds: 93"
+          }
+        ]
       }
     ]
   }

From dcbd624bb3432e4242a10078a4faca160aae3501 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 31 Jul 2023 10:25:11 +0000
Subject: [PATCH 040/150] add TiPg Benchmarks (pytest) benchmark result for
 8a55a62862ab344ea0b1f54f24b0b8dda01dda4b

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 5b7f9bbf..b2c6e4f2 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1690618027681,
+  "lastUpdate": 1690799111809,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -8635,6 +8635,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.571252301073301 msec\nrounds: 93"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "8a55a62862ab344ea0b1f54f24b0b8dda01dda4b",
+          "message": "Merge pull request #105 from developmentseed/customCatalogFuncInMiddleware\n\nallow custom function in middleware",
+          "timestamp": "2023-07-31T12:18:01+02:00",
+          "tree_id": "fbde86e2b2bd49d74060972e8d4635c376e52eac",
+          "url": "https://github.com/developmentseed/tipg/commit/8a55a62862ab344ea0b1f54f24b0b8dda01dda4b"
+        },
+        "date": 1690799110901,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 278.71544482350714,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00046021207566134393",
+            "extra": "mean: 3.5878887179475707 msec\nrounds: 117"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 178.8703157702964,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006218431123226768",
+            "extra": "mean: 5.590642559630692 msec\nrounds: 109"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 285.6631887986418,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00030800856480145427",
+            "extra": "mean: 3.5006260491787753 msec\nrounds: 61"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 179.10599415236453,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008303054311373497",
+            "extra": "mean: 5.583286057692214 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 389.9159392997291,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001292476783230711",
+            "extra": "mean: 2.564655350576213 msec\nrounds: 174"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 372.9029641574772,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001877049024908442",
+            "extra": "mean: 2.681662781252925 msec\nrounds: 64"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
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+            "unit": "iter/sec",
+            "range": "stddev: 0.0006595685730006517",
+            "extra": "mean: 2.4828937213099955 msec\nrounds: 183"
+          },
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+            "extra": "mean: 8.86418649494744 msec\nrounds: 99"
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+            "unit": "iter/sec",
+            "range": "stddev: 0.011540020485440972",
+            "extra": "mean: 227.91786799999727 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 131.61867649260435,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001311562148144681",
+            "extra": "mean: 7.597705938459197 msec\nrounds: 65"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 94.95006460687657,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009191854647195392",
+            "extra": "mean: 10.531851706897912 msec\nrounds: 58"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 184.09250932349966,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022198639556609014",
+            "extra": "mean: 5.4320515466641455 msec\nrounds: 75"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 153.14913678244096,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015958781867165314",
+            "extra": "mean: 6.529583000004562 msec\nrounds: 69"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 407.29613588231945,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012943119536191637",
+            "extra": "mean: 2.4552160256411844 msec\nrounds: 273"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 543.1394493007977,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013812967419820198",
+            "extra": "mean: 1.841147795998495 msec\nrounds: 250"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 534.7519592239221,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014616851956417444",
+            "extra": "mean: 1.8700258741478677 msec\nrounds: 294"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 38.40526470426876,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012607111800344438",
+            "extra": "mean: 26.03809680001632 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 177.60436953578377,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010236316765277408",
+            "extra": "mean: 5.630492102270715 msec\nrounds: 88"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 181.94643835408982,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020974558584597346",
+            "extra": "mean: 5.496122974684884 msec\nrounds: 79"
+          }
+        ]
       }
     ]
   }

From 27d098979f7bfeb775cbcb871125ae60063b6445 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 31 Jul 2023 10:33:33 +0000
Subject: [PATCH 041/150] add TiPg Benchmarks (pytest) benchmark result for
 7286527686ffebbeee1ce81f4b14f93e67235403

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index b2c6e4f2..a71cb789 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1690799111809,
+  "lastUpdate": 1690799613278,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -8946,6 +8946,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 5.496122974684884 msec\nrounds: 79"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "7286527686ffebbeee1ce81f4b14f93e67235403",
+          "message": "fix dsn construct",
+          "timestamp": "2023-07-31T12:27:31+02:00",
+          "tree_id": "d8ccec0121b677dde443c7f4f5f2a3b60e9be155",
+          "url": "https://github.com/developmentseed/tipg/commit/7286527686ffebbeee1ce81f4b14f93e67235403"
+        },
+        "date": 1690799612740,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 377.71211390431563,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013139400062925984",
+            "extra": "mean: 2.6475190050518904 msec\nrounds: 198"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 232.3271183165135,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020023611645186352",
+            "extra": "mean: 4.304275829899627 msec\nrounds: 194"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 378.94718732399724,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015814277424633475",
+            "extra": "mean: 2.638890150001316 msec\nrounds: 80"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 212.40213870501398,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00399191450038647",
+            "extra": "mean: 4.708050521980897 msec\nrounds: 182"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 495.40196268165187,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011322423292332025",
+            "extra": "mean: 2.018562854670412 msec\nrounds: 289"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 466.2997894252864,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014187328211069788",
+            "extra": "mean: 2.1445431086994446 msec\nrounds: 92"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 552.537982236958,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011010651980381874",
+            "extra": "mean: 1.8098303322994838 msec\nrounds: 322"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 158.39041777216588,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017889343398061518",
+            "extra": "mean: 6.313513241933826 msec\nrounds: 124"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 138.28673915770636,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007580990509207676",
+            "extra": "mean: 7.231351365220709 msec\nrounds: 115"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 91.35430812909183,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00028179241130272495",
+            "extra": "mean: 10.94639125925961 msec\nrounds: 81"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 60.24464189106877,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0014587983170594764",
+            "extra": "mean: 16.598986542374142 msec\nrounds: 59"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 34.77148067441637,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013629089037301392",
+            "extra": "mean: 28.75920094871786 msec\nrounds: 39"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 29.756613650621308,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013713415567284231",
+            "extra": "mean: 33.60597451515188 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 146.58370329736334,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010027750788373728",
+            "extra": "mean: 6.822040769234594 msec\nrounds: 117"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 114.91111994543311,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002256374504636824",
+            "extra": "mean: 8.702377981128908 msec\nrounds: 106"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 66.01645825993816,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012481275535443706",
+            "extra": "mean: 15.147737796876726 msec\nrounds: 64"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 42.72528039103436,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0011770970330490793",
+            "extra": "mean: 23.40534669047705 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 24.850570142055982,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001364246341136007",
+            "extra": "mean: 40.240525440003694 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 20.481826422749425,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012563477220513528",
+            "extra": "mean: 48.82377085713837 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 142.15695615444866,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000416531686667675",
+            "extra": "mean: 7.034478136360308 msec\nrounds: 44"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 119.29641327974556,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00036374847184965353",
+            "extra": "mean: 8.382481689998826 msec\nrounds: 100"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 65.15535912999754,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008113071771998583",
+            "extra": "mean: 15.34793167212549 msec\nrounds: 61"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 37.93749896716877,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01604060045866516",
+            "extra": "mean: 26.359144045457583 msec\nrounds: 44"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 21.66745253356227,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02513485001321875",
+            "extra": "mean: 46.15217217857191 msec\nrounds: 28"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 18.94005423672482,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02530610479143542",
+            "extra": "mean: 52.798159260864054 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.0790430460914,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0343486636804605",
+            "extra": "mean: 480.99052200001324 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 48.1367167869039,
+            "unit": "iter/sec",
+            "range": "stddev: 0.018449733049073682",
+            "extra": "mean: 20.774162983048743 msec\nrounds: 59"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8605752380722784,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04816452302976771",
+            "extra": "mean: 1.1620134483999778 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 18.19577944192157,
+            "unit": "iter/sec",
+            "range": "stddev: 0.033897056505308394",
+            "extra": "mean: 54.95779959258479 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.960445832280199,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008691587656239423",
+            "extra": "mean: 111.60158977776291 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.414545626708649,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012174221886499451",
+            "extra": "mean: 184.68770399998866 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 181.4795868171031,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000168224368551209",
+            "extra": "mean: 5.51026160869437 msec\nrounds: 92"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 125.54349569608836,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015557482190898113",
+            "extra": "mean: 7.965366859154279 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 229.05438253828942,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014333004209821678",
+            "extra": "mean: 4.3657754499975 msec\nrounds: 100"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 211.47565597969634,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014570206301753688",
+            "extra": "mean: 4.728676666670369 msec\nrounds: 87"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 535.849414356135,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015865230623031545",
+            "extra": "mean: 1.866195937158163 msec\nrounds: 366"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 708.7449810587152,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007751026957901431",
+            "extra": "mean: 1.4109447357302076 msec\nrounds: 473"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 699.5140170961059,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006971543031679814",
+            "extra": "mean: 1.4295639194641192 msec\nrounds: 447"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 50.672009658473655,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000647140952879379",
+            "extra": "mean: 19.73476100000653 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 228.81241622966346,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009522558094604729",
+            "extra": "mean: 4.370392203700522 msec\nrounds: 108"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 222.4848352755302,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011605437351787853",
+            "extra": "mean: 4.494688362744264 msec\nrounds: 102"
+          }
+        ]
       }
     ]
   }

From 6288fde4b3678e27013a4e7e56d7ac6ae9a7e648 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 1 Aug 2023 07:03:32 +0000
Subject: [PATCH 042/150] add TiPg Benchmarks (pytest) benchmark result for
 ed443307f9b4bb9073638f992e7a687cde3f4f77

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index a71cb789..534a4a06 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1690799613278,
+  "lastUpdate": 1690873412664,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -9257,6 +9257,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.494688362744264 msec\nrounds: 102"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "ed443307f9b4bb9073638f992e7a687cde3f4f77",
+          "message": "add global conformance classes variables",
+          "timestamp": "2023-08-01T08:32:53+02:00",
+          "tree_id": "8ac4a1db58bc827794c3a5274898ee93bcd15989",
+          "url": "https://github.com/developmentseed/tipg/commit/ed443307f9b4bb9073638f992e7a687cde3f4f77"
+        },
+        "date": 1690873412020,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 355.9886646493779,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001033118535507717",
+            "extra": "mean: 2.8090782075460883 msec\nrounds: 159"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 222.7537971771644,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010816779257686385",
+            "extra": "mean: 4.489261295082044 msec\nrounds: 183"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 357.44095864723727,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000130139223537629",
+            "extra": "mean: 2.7976648333324103 msec\nrounds: 78"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 195.6149717646286,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005641832992215358",
+            "extra": "mean: 5.112083144654378 msec\nrounds: 159"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 460.99243373100484,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007815686987733758",
+            "extra": "mean: 2.169233000000849 msec\nrounds: 253"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 444.8380992022307,
+            "unit": "iter/sec",
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+          },
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+            "extra": "mean: 5.9220306705857615 msec\nrounds: 85"
+          },
+          {
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+            "value": 120.05555648555628,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014294069729537792",
+            "extra": "mean: 8.329477029414367 msec\nrounds: 68"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 183.2507004602369,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008380476585426996",
+            "extra": "mean: 5.45700506185507 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 198.66009747427137,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010992970349732899",
+            "extra": "mean: 5.033723494117941 msec\nrounds: 85"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 509.1522499704589,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006761143232458129",
+            "extra": "mean: 1.96404906402362 msec\nrounds: 328"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
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+            "extra": "mean: 1.5248366865293186 msec\nrounds: 386"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 644.3504387218894,
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+            "range": "stddev: 0.0000924301040506494",
+            "extra": "mean: 1.5519505224262196 msec\nrounds: 379"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 45.69150325192192,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006172021814872651",
+            "extra": "mean: 21.885907199998655 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 216.70675727385228,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002948092535268957",
+            "extra": "mean: 4.614530772274444 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 209.97923049689015,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020126320733921456",
+            "extra": "mean: 4.762375772278156 msec\nrounds: 101"
+          }
+        ]
       }
     ]
   }

From 50005a189dc49b6c8513d58a7eb1dc31e65b220a Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 1 Aug 2023 12:14:07 +0000
Subject: [PATCH 043/150] add TiPg Benchmarks (pytest) benchmark result for
 8718f4e6eff5ffc0446f9472d68ff4f2b76b36b7

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 534a4a06..f0868fe8 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1690873412664,
+  "lastUpdate": 1690892047125,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -9568,6 +9568,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.762375772278156 msec\nrounds: 101"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "8718f4e6eff5ffc0446f9472d68ff4f2b76b36b7",
+          "message": "Bump version: 0.3.1 → 0.4.0",
+          "timestamp": "2023-08-01T14:07:55+02:00",
+          "tree_id": "bbb85c25075e60b92c9efbfdfb292c38343142ef",
+          "url": "https://github.com/developmentseed/tipg/commit/8718f4e6eff5ffc0446f9472d68ff4f2b76b36b7"
+        },
+        "date": 1690892046424,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 336.7392224836744,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022988230867294554",
+            "extra": "mean: 2.969657032003397 msec\nrounds: 125"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 214.24754872824263,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00033153502686018594",
+            "extra": "mean: 4.667497975757132 msec\nrounds: 165"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 332.48222282220877,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021621466043511214",
+            "extra": "mean: 3.0076796031730666 msec\nrounds: 63"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 201.8690929544467,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003634636896124336",
+            "extra": "mean: 4.9537053214265825 msec\nrounds: 140"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 450.77568101107147,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018664253486750033",
+            "extra": "mean: 2.2183982901585124 msec\nrounds: 193"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 313.87715174585963,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007134356085740312",
+            "extra": "mean: 3.1859598395033255 msec\nrounds: 81"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 488.28102208402254,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001494954252349151",
+            "extra": "mean: 2.048000955949342 msec\nrounds: 227"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 147.84409253505015,
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+            "range": "stddev: 0.00045059739462554243",
+            "extra": "mean: 6.7638820249982246 msec\nrounds: 120"
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+            "range": "stddev: 0.000425167764138489",
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+            "extra": "mean: 15.199873813560123 msec\nrounds: 59"
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+            "range": "stddev: 0.04242620015144281",
+            "extra": "mean: 62.47979195454822 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.792561384744603,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008908270013247564",
+            "extra": "mean: 113.73250139999413 msec\nrounds: 10"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.530054039061245,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007634471632902721",
+            "extra": "mean: 180.83005933333615 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 168.16795554234446,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003759080585668816",
+            "extra": "mean: 5.946436089889916 msec\nrounds: 89"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 116.87949956018507,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000749883716017865",
+            "extra": "mean: 8.555820342857194 msec\nrounds: 70"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 215.81436554215065,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007011568152934483",
+            "extra": "mean: 4.633611842695848 msec\nrounds: 89"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 199.3717105602847,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00030327394860300795",
+            "extra": "mean: 5.0157567349437295 msec\nrounds: 83"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 514.8621850895909,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016731166933271402",
+            "extra": "mean: 1.9422673269857462 msec\nrounds: 315"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 671.5977784185854,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014479044072184045",
+            "extra": "mean: 1.4889864620378954 msec\nrounds: 461"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 649.7823800699699,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016194238885891936",
+            "extra": "mean: 1.5389767877244038 msec\nrounds: 391"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 49.319296548602324,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001633496027404733",
+            "extra": "mean: 20.276039400005175 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 231.98051373455272,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003454147879534396",
+            "extra": "mean: 4.310706894736278 msec\nrounds: 95"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 217.05548398563346,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003173430966531262",
+            "extra": "mean: 4.607116952945489 msec\nrounds: 85"
+          }
+        ]
       }
     ]
   }

From 2e21d6307f2599b25d2c6ba49ca6bc65136f389f Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Fri, 4 Aug 2023 14:53:39 +0000
Subject: [PATCH 044/150] add TiPg Benchmarks (pytest) benchmark result for
 fb77a7185a0e704ab430ec1afd8ea39905d14534

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index f0868fe8..0418dc05 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1690892047125,
+  "lastUpdate": 1691160819804,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -9879,6 +9879,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.607116952945489 msec\nrounds: 85"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "fb77a7185a0e704ab430ec1afd8ea39905d14534",
+          "message": "Merge pull request #108 from jackharrhy/fix-custom-sql-dir-not-optional\n\nfix custom sql dir not optional",
+          "timestamp": "2023-08-04T16:46:41+02:00",
+          "tree_id": "f978da05c766dec472341dc2a69f2fdc0238f7f3",
+          "url": "https://github.com/developmentseed/tipg/commit/fb77a7185a0e704ab430ec1afd8ea39905d14534"
+        },
+        "date": 1691160818674,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 274.3847715885969,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0021802932418432666",
+            "extra": "mean: 3.6445171290313647 msec\nrounds: 155"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 180.52281340933288,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006995746594475077",
+            "extra": "mean: 5.539466071429511 msec\nrounds: 154"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 296.1443327967591,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00033373352971744554",
+            "extra": "mean: 3.3767318474613184 msec\nrounds: 59"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 173.13281161142115,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012182197686508435",
+            "extra": "mean: 5.775912668965358 msec\nrounds: 145"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 375.6616741823571,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005337673006657883",
+            "extra": "mean: 2.6619697156398527 msec\nrounds: 211"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 250.89179240001016,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009712453437613849",
+            "extra": "mean: 3.985782039476392 msec\nrounds: 76"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 423.45006685130267,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004055009002218291",
+            "extra": "mean: 2.3615535296423906 msec\nrounds: 253"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 122.58241159752548,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008151513318933591",
+            "extra": "mean: 8.157777180002768 msec\nrounds: 100"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 105.37011536800748,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0018505057837135735",
+            "extra": "mean: 9.49035688636648 msec\nrounds: 88"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 73.99420982300542,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005788537740851672",
+            "extra": "mean: 13.514570969701627 msec\nrounds: 66"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 49.958608550183826,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0014315019328407404",
+            "extra": "mean: 20.01657029729905 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 30.653551069863042,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013855007363460603",
+            "extra": "mean: 32.622647787882144 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 24.241854259364956,
+            "unit": "iter/sec",
+            "range": "stddev: 0.016966741785872208",
+            "extra": "mean: 41.25096988460305 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 115.3220076223768,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007633078262399948",
+            "extra": "mean: 8.671371758238125 msec\nrounds: 91"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 87.21179939716254,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0021453846602799316",
+            "extra": "mean: 11.466338349997804 msec\nrounds: 60"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 47.48635433776881,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002923531832305988",
+            "extra": "mean: 21.058681255820023 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 33.13525375475183,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0019883085933570833",
+            "extra": "mean: 30.179337312501886 msec\nrounds: 32"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 20.01130872408341,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002785782365754906",
+            "extra": "mean: 49.971744166662624 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 14.22894121679907,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01031498929117397",
+            "extra": "mean: 70.27929800000672 msec\nrounds: 14"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 106.9270973544238,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0018784425068976913",
+            "extra": "mean: 9.352166333341769 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 91.52869419987078,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0013252899567413447",
+            "extra": "mean: 10.925535524589748 msec\nrounds: 61"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 47.83353200846646,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01417858697774938",
+            "extra": "mean: 20.90583651282539 msec\nrounds: 39"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 29.839125424444525,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02152490987929095",
+            "extra": "mean: 33.51304657142496 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 16.84314851004292,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03724820510820347",
+            "extra": "mean: 59.3713223750143 msec\nrounds: 8"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 15.232956142190408,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03477274737487962",
+            "extra": "mean: 65.64713970588546 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.5815377112706173,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03528049381372359",
+            "extra": "mean: 632.2960197999919 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 35.30570009733197,
+            "unit": "iter/sec",
+            "range": "stddev: 0.026562353406788107",
+            "extra": "mean: 28.32403825000398 msec\nrounds: 40"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.6537335835782201,
+            "unit": "iter/sec",
+            "range": "stddev: 0.08094548456110058",
+            "extra": "mean: 1.5296751232000134 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 12.54357571128716,
+            "unit": "iter/sec",
+            "range": "stddev: 0.052699284756476214",
+            "extra": "mean: 79.72208427778406 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 6.859715731899242,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009129431087359944",
+            "extra": "mean: 145.7786355999815 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 3.1800831180614204,
+            "unit": "iter/sec",
+            "range": "stddev: 0.029267345500715178",
+            "extra": "mean: 314.4571896000002 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 136.66044199566474,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008110523637079429",
+            "extra": "mean: 7.3174064520567175 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 90.17202986040289,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012641482703841375",
+            "extra": "mean: 11.089913375002425 msec\nrounds: 48"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 148.60208696967882,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001577711040110143",
+            "extra": "mean: 6.729380592104624 msec\nrounds: 76"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 155.95319603577806,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009250755545807017",
+            "extra": "mean: 6.412180227268856 msec\nrounds: 66"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 378.74265654113486,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0013993856822063523",
+            "extra": "mean: 2.6403152186038255 msec\nrounds: 215"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 425.5051004122827,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0052103549650832515",
+            "extra": "mean: 2.350148092305062 msec\nrounds: 325"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 531.7102241649773,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003297737763000506",
+            "extra": "mean: 1.8807236621609957 msec\nrounds: 148"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 40.7638317000643,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003194973683859287",
+            "extra": "mean: 24.53155059999972 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 178.43288106212285,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006672112549243847",
+            "extra": "mean: 5.604348223530852 msec\nrounds: 85"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 172.61727072920985,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001276351315360658",
+            "extra": "mean: 5.793163081397176 msec\nrounds: 86"
+          }
+        ]
       }
     ]
   }

From ef1d3d9ebf68efee4afe4e0bed56a2749f34f3eb Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 23 Aug 2023 09:31:36 +0000
Subject: [PATCH 045/150] add TiPg Benchmarks (pytest) benchmark result for
 0c5bfbd8937eb498cd7c90c69c016b69fff6e319

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 0418dc05..f536453a 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1691160819804,
+  "lastUpdate": 1692783096528,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -10190,6 +10190,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 5.793163081397176 msec\nrounds: 86"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "0c5bfbd8937eb498cd7c90c69c016b69fff6e319",
+          "message": "Merge pull request #112 from developmentseed/LimitLEthenMaxLimit\n\nfix limit max bounds",
+          "timestamp": "2023-08-23T11:24:53+02:00",
+          "tree_id": "8e0b9db4a11ba79dd9da458b3ebd33dbbc7f40ac",
+          "url": "https://github.com/developmentseed/tipg/commit/0c5bfbd8937eb498cd7c90c69c016b69fff6e319"
+        },
+        "date": 1692783096000,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 351.1752606863668,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011059761992607813",
+            "extra": "mean: 2.847580999998448 msec\nrounds: 178"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 220.1762759876583,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010529192068997087",
+            "extra": "mean: 4.541815395479092 msec\nrounds: 177"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 351.3360628599826,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001500494713953132",
+            "extra": "mean: 2.846277697369565 msec\nrounds: 76"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
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+          },
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+            "extra": "mean: 62.82110895454517 msec\nrounds: 22"
+          },
+          {
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+            "value": 1.6303696174439473,
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+          },
+          {
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+            "value": 36.35652557161021,
+            "unit": "iter/sec",
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+            "extra": "mean: 27.50537858823539 msec\nrounds: 51"
+          },
+          {
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 14.269359755938586,
+            "unit": "iter/sec",
+            "range": "stddev: 0.05355542517536898",
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+          },
+          {
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+            "value": 8.311078122262174,
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+          },
+          {
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+            "value": 5.201277210235694,
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+            "extra": "mean: 192.26046980001001 msec\nrounds: 5"
+          },
+          {
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+            "value": 171.1454145186599,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00037911883770080397",
+            "extra": "mean: 5.842984475000179 msec\nrounds: 80"
+          },
+          {
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+            "value": 122.02348796946103,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012378270087726992",
+            "extra": "mean: 8.195143546874117 msec\nrounds: 64"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 216.17627233705068,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012151801990327828",
+            "extra": "mean: 4.625854582416208 msec\nrounds: 91"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 198.049633941588,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003306496942746104",
+            "extra": "mean: 5.049239325001409 msec\nrounds: 80"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 509.4110316514264,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006688845143508362",
+            "extra": "mean: 1.9630513237182265 msec\nrounds: 312"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 660.2658973514885,
+            "unit": "iter/sec",
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+            "extra": "mean: 1.5145413446480882 msec\nrounds: 383"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 644.5778345470698,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021703528643257744",
+            "extra": "mean: 1.5514030213320589 msec\nrounds: 375"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 47.85429248457596,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007156984752543712",
+            "extra": "mean: 20.896766999999272 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 222.45208096883132,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00031052295981707974",
+            "extra": "mean: 4.495350169999597 msec\nrounds: 100"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 216.83401323426452,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022403511412344047",
+            "extra": "mean: 4.611822587628877 msec\nrounds: 97"
+          }
+        ]
       }
     ]
   }

From 6fe42bd4de8346ce7dd74dd274bf8016cb9cbb1d Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 23 Aug 2023 11:24:54 +0000
Subject: [PATCH 046/150] add TiPg Benchmarks (pytest) benchmark result for
 8ee337e7dd81397d3ac3959984948541631c652b

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index f536453a..30e20526 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1692783096528,
+  "lastUpdate": 1692789894147,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -10501,6 +10501,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.611822587628877 msec\nrounds: 97"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "8ee337e7dd81397d3ac3959984948541631c652b",
+          "message": "replace stamen by osm",
+          "timestamp": "2023-08-23T13:12:52+02:00",
+          "tree_id": "1d68134f299d34d7daae12a98a8c22c46ba08961",
+          "url": "https://github.com/developmentseed/tipg/commit/8ee337e7dd81397d3ac3959984948541631c652b"
+        },
+        "date": 1692789893200,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 198.35354865381453,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0022683598745776275",
+            "extra": "mean: 5.041502946565856 msec\nrounds: 131"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 127.47223970238488,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008916232056562081",
+            "extra": "mean: 7.8448452960012665 msec\nrounds: 125"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 205.01572461298022,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009342142313904138",
+            "extra": "mean: 4.877674636361462 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 133.27994757051576,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0018045745598911527",
+            "extra": "mean: 7.503004152000585 msec\nrounds: 125"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 270.44314624241247,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0018101867403058616",
+            "extra": "mean: 3.6976348407944015 msec\nrounds: 201"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 246.41219227808105,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0013080918135224575",
+            "extra": "mean: 4.05824075000104 msec\nrounds: 72"
+          },
+          {
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+            "value": 293.48710589046544,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001132219527662965",
+            "extra": "mean: 3.407304716048471 msec\nrounds: 243"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 91.8440773935854,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001432294552791577",
+            "extra": "mean: 10.888018349998063 msec\nrounds: 80"
+          },
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+            "extra": "mean: 12.07103701315647 msec\nrounds: 76"
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+          },
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.5925339349283278,
+            "unit": "iter/sec",
+            "range": "stddev: 0.08663548458668195",
+            "extra": "mean: 1.6876670534000027 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 13.462967962641237,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0543593478575802",
+            "extra": "mean: 74.2778266111104 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 6.006239805654169,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0067459334469639675",
+            "extra": "mean: 166.49351880000154 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 3.751480579020586,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01682986338157055",
+            "extra": "mean: 266.56142260000024 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 104.90104534193765,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001852325958819851",
+            "extra": "mean: 9.532793469696886 msec\nrounds: 66"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 77.46722943763076,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0023833990084964948",
+            "extra": "mean: 12.908684191489057 msec\nrounds: 47"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 138.76218506166947,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0020008920007003753",
+            "extra": "mean: 7.2065743239454925 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 120.43683845016703,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0024953630964628325",
+            "extra": "mean: 8.303107362069857 msec\nrounds: 58"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 348.1610023459707,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010109668485546108",
+            "extra": "mean: 2.8722343779510697 msec\nrounds: 254"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 427.6961601629596,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005524023892408437",
+            "extra": "mean: 2.3381084357151645 msec\nrounds: 280"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 432.0708701635866,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010684444869703156",
+            "extra": "mean: 2.3144351287125406 msec\nrounds: 303"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 35.586796270838725,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0014004476523779112",
+            "extra": "mean: 28.100309799998513 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 156.73869473484942,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005951477670171625",
+            "extra": "mean: 6.3800454743589174 msec\nrounds: 78"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 149.9458075666864,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0016760561004696794",
+            "extra": "mean: 6.669076089741711 msec\nrounds: 78"
+          }
+        ]
       }
     ]
   }

From 358db902ac5583c3bb2a5cfbc70b10aaae8723e2 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 24 Aug 2023 08:32:46 +0000
Subject: [PATCH 047/150] add TiPg Benchmarks (pytest) benchmark result for
 7f560400b8ca0f851a3835b65f6dc555905987d1

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 30e20526..88ea8ab5 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1692789894147,
+  "lastUpdate": 1692865966386,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -10812,6 +10812,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 6.669076089741711 msec\nrounds: 78"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "7f560400b8ca0f851a3835b65f6dc555905987d1",
+          "message": "Bump version: 0.4.1 → 0.4.2",
+          "timestamp": "2023-08-24T10:26:13+02:00",
+          "tree_id": "5cc9d66cd2ff9f74cbcc6eee23d20dc2b362da05",
+          "url": "https://github.com/developmentseed/tipg/commit/7f560400b8ca0f851a3835b65f6dc555905987d1"
+        },
+        "date": 1692865965482,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 321.0333360692814,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013893762909992846",
+            "extra": "mean: 3.1149413087249997 msec\nrounds: 149"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 188.02749608986,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005096088537376831",
+            "extra": "mean: 5.318371093566502 msec\nrounds: 171"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 314.6994656362525,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019369878150175284",
+            "extra": "mean: 3.1776348840574666 msec\nrounds: 69"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 192.73275966675138,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002353129239471544",
+            "extra": "mean: 5.188531527951299 msec\nrounds: 161"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 413.17655253021286,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011032100450786559",
+            "extra": "mean: 2.4202728685260437 msec\nrounds: 251"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 394.0713744420855,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016225716223562756",
+            "extra": "mean: 2.537611369046458 msec\nrounds: 84"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 459.2956120980983,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010768381276925884",
+            "extra": "mean: 2.1772470140350824 msec\nrounds: 285"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 132.68415195742497,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000597166416869997",
+            "extra": "mean: 7.536695115788018 msec\nrounds: 95"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 119.53176371537451,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004610283501388436",
+            "extra": "mean: 8.365977117021133 msec\nrounds: 94"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 79.05344874244446,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005134121110545427",
+            "extra": "mean: 12.64966950724683 msec\nrounds: 69"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 55.10349911422278,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006564959610907585",
+            "extra": "mean: 18.147667862745394 msec\nrounds: 51"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 34.61472511168205,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004663743203026604",
+            "extra": "mean: 28.88943929999641 msec\nrounds: 10"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 26.881884840386373,
+            "unit": "iter/sec",
+            "range": "stddev: 0.017849387801061708",
+            "extra": "mean: 37.19977248387123 msec\nrounds: 31"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 126.39692487285116,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00039107207757935436",
+            "extra": "mean: 7.911584882353339 msec\nrounds: 102"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 105.09589216717958,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00029517365378043655",
+            "extra": "mean: 9.515119757575931 msec\nrounds: 66"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 55.65636850457983,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0014690061276341885",
+            "extra": "mean: 17.967395769231914 msec\nrounds: 52"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 36.437768047941546,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006365103097411149",
+            "extra": "mean: 27.444051970589687 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 21.136476282801414,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015833344733025554",
+            "extra": "mean: 47.31157580952564 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 17.525206318685466,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0013957404915761519",
+            "extra": "mean: 57.060669176476104 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 124.38150437731834,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022831845132946935",
+            "extra": "mean: 8.039780552632996 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 92.20625542588667,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0023469402737279596",
+            "extra": "mean: 10.84525117500057 msec\nrounds: 80"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 53.90336971891784,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01162604378978923",
+            "extra": "mean: 18.551715880000756 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 35.175447148252125,
+            "unit": "iter/sec",
+            "range": "stddev: 0.018429659601643188",
+            "extra": "mean: 28.428920769232928 msec\nrounds: 39"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 19.78991925459045,
+            "unit": "iter/sec",
+            "range": "stddev: 0.027612303480114227",
+            "extra": "mean: 50.53077716666484 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 15.98297952052562,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03238175224232871",
+            "extra": "mean: 62.566557050003276 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.7246290756602434,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0333606589248284",
+            "extra": "mean: 579.8348260000012 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 35.217308007756436,
+            "unit": "iter/sec",
+            "range": "stddev: 0.026398392805377105",
+            "extra": "mean: 28.395128888890515 msec\nrounds: 45"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.6876045893767304,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04691290996107222",
+            "extra": "mean: 1.4543242082000005 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 15.222335284195612,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04333734240131064",
+            "extra": "mean: 65.69294272727238 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 7.596345075083812,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0025998974066651806",
+            "extra": "mean: 131.64225560000204 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 4.610467859249983,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011108559119185239",
+            "extra": "mean: 216.89772720000633 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 151.3879955586381,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004879300179907673",
+            "extra": "mean: 6.605543565788632 msec\nrounds: 76"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 101.86476628035535,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001765099979118353",
+            "extra": "mean: 9.816937067796035 msec\nrounds: 59"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 191.43775241423796,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001684876331251218",
+            "extra": "mean: 5.223630069768967 msec\nrounds: 86"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 172.33670737131078,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008179858808695659",
+            "extra": "mean: 5.802594323944197 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 460.58504456979273,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015924762969733358",
+            "extra": "mean: 2.1711516945454563 msec\nrounds: 275"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 588.3012390066857,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008895825345798501",
+            "extra": "mean: 1.6998094406335862 msec\nrounds: 379"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 569.5862091928216,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001695267995816632",
+            "extra": "mean: 1.7556604845070447 msec\nrounds: 355"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 43.15383856673039,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002726183411737109",
+            "extra": "mean: 23.172909600003777 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 199.3023252485973,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011160937725369315",
+            "extra": "mean: 5.017502925531161 msec\nrounds: 94"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 191.18471653719814,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00035875588730159303",
+            "extra": "mean: 5.230543623529831 msec\nrounds: 85"
+          }
+        ]
       }
     ]
   }

From d2e6f5e376d18b8da3b20c8e7c5953f1f945b61f Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Fri, 25 Aug 2023 21:27:53 +0000
Subject: [PATCH 048/150] add TiPg Benchmarks (pytest) benchmark result for
 638fed0ac2e2d427b013464a592056223da6229e

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 88ea8ab5..04cc8bf4 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1692865966386,
+  "lastUpdate": 1692998873876,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -11123,6 +11123,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 5.230543623529831 msec\nrounds: 85"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "638fed0ac2e2d427b013464a592056223da6229e",
+          "message": "Merge pull request #113 from developmentseed/FowardCatalogDep\n\nforward dependency to Factories",
+          "timestamp": "2023-08-25T17:22:12-04:00",
+          "tree_id": "9b82ce3deffad54855017d916f6e1f91f31bd4e2",
+          "url": "https://github.com/developmentseed/tipg/commit/638fed0ac2e2d427b013464a592056223da6229e"
+        },
+        "date": 1692998873422,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 349.0268506065629,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018471419277522622",
+            "extra": "mean: 2.8651090833330763 msec\nrounds: 168"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 204.15284156957745,
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+          {
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+          {
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+            "extra": "mean: 26.735439520000455 msec\nrounds: 50"
+          },
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+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
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+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 16.010887456837704,
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+            "range": "stddev: 0.04283750223467742",
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+          },
+          {
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+          {
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+          },
+          {
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+            "value": 167.77175678994683,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00036062545453042583",
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+          },
+          {
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+            "value": 118.24093026256621,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00027843017884810985",
+            "extra": "mean: 8.45730829230958 msec\nrounds: 65"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 212.50535179301747,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00032616617753859756",
+            "extra": "mean: 4.705763838710334 msec\nrounds: 93"
+          },
+          {
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+            "value": 196.92885080968662,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011936636105644734",
+            "extra": "mean: 5.077976111110336 msec\nrounds: 81"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 506.79247149165417,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001017252667850463",
+            "extra": "mean: 1.9731942683692136 msec\nrounds: 313"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 656.1380861995661,
+            "unit": "iter/sec",
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+            "extra": "mean: 1.5240694314700203 msec\nrounds: 394"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 648.2961976363388,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001439150361686797",
+            "extra": "mean: 1.5425048051275925 msec\nrounds: 390"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 48.90207123550996,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019723420482102585",
+            "extra": "mean: 20.44903159999194 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 224.80784111422523,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010192352690924675",
+            "extra": "mean: 4.448243419996629 msec\nrounds: 100"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 217.94305444485673,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001014958047902868",
+            "extra": "mean: 4.588354524750486 msec\nrounds: 101"
+          }
+        ]
       }
     ]
   }

From 47345102020384dc4717a675d859d71a119d8af3 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Sat, 26 Aug 2023 13:54:12 +0000
Subject: [PATCH 049/150] add TiPg Benchmarks (pytest) benchmark result for
 3a8ea56f48731379e0911dbadbc82194c22ee070

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 04cc8bf4..3c076cdc 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1692998873876,
+  "lastUpdate": 1693058052026,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -11434,6 +11434,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.588354524750486 msec\nrounds: 101"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "3a8ea56f48731379e0911dbadbc82194c22ee070",
+          "message": "Merge pull request #114 from developmentseed/changeDependencies\n\nchange dependencies to callables",
+          "timestamp": "2023-08-26T09:48:03-04:00",
+          "tree_id": "eadbb09e4d32fe92d21606e14157efd754583722",
+          "url": "https://github.com/developmentseed/tipg/commit/3a8ea56f48731379e0911dbadbc82194c22ee070"
+        },
+        "date": 1693058051537,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 354.8189832504806,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021211029390692308",
+            "extra": "mean: 2.8183384971092735 msec\nrounds: 173"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 203.8019393871527,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005596770176637011",
+            "extra": "mean: 4.906724651429093 msec\nrounds: 175"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 356.23717306438834,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013614221981625874",
+            "extra": "mean: 2.8071186153817087 msec\nrounds: 78"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 215.10421156138602,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001756802403327898",
+            "extra": "mean: 4.6489094413412815 msec\nrounds: 179"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 465.1603382062862,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008541233333546759",
+            "extra": "mean: 2.1497963559320628 msec\nrounds: 295"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 445.5487186480368,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012394722268124433",
+            "extra": "mean: 2.2444234673917993 msec\nrounds: 92"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 513.4133906225769,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013595465207386198",
+            "extra": "mean: 1.9477481855067649 msec\nrounds: 345"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 161.0946205484162,
+            "unit": "iter/sec",
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+            "extra": "mean: 6.207531924999661 msec\nrounds: 120"
+          },
+          {
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.8614299659050022,
+            "unit": "iter/sec",
+            "range": "stddev: 0.033640043571790394",
+            "extra": "mean: 537.2213934000001 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 45.633987912103834,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02160643719957927",
+            "extra": "mean: 21.913491363632563 msec\nrounds: 11"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7509026972645225,
+            "unit": "iter/sec",
+            "range": "stddev: 0.07861838881757618",
+            "extra": "mean: 1.3317304673999957 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 15.914031262843073,
+            "unit": "iter/sec",
+            "range": "stddev: 0.042879876756057644",
+            "extra": "mean: 62.83762947826131 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.208011080868333,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0024713633032154175",
+            "extra": "mean: 121.8321941999875 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.213598905302809,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00868533270749243",
+            "extra": "mean: 191.80608599999687 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 179.33451791322545,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00032115660298987153",
+            "extra": "mean: 5.576171345239123 msec\nrounds: 84"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 124.92758884635482,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004174086894089251",
+            "extra": "mean: 8.004636999997444 msec\nrounds: 69"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 237.83806333962198,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002837488814482964",
+            "extra": "mean: 4.204541468083035 msec\nrounds: 94"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 216.92348228935626,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00032665981294296374",
+            "extra": "mean: 4.609920463410645 msec\nrounds: 82"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 512.7281082909576,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009072974250000949",
+            "extra": "mean: 1.9503514315476742 msec\nrounds: 336"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 657.545585309494,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006955688987832678",
+            "extra": "mean: 1.52080710804152 msec\nrounds: 398"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 647.9168287509029,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015580721871208582",
+            "extra": "mean: 1.5434079740263367 msec\nrounds: 385"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 47.35969824369578,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003790088799645641",
+            "extra": "mean: 21.114999400003853 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 222.7756026433057,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002352716401513595",
+            "extra": "mean: 4.488821882354583 msec\nrounds: 102"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 218.1887631439125,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00023098324598600157",
+            "extra": "mean: 4.5831874455442145 msec\nrounds: 101"
+          }
+        ]
       }
     ]
   }

From 2418c406804efab1357d6db42d15cb8389c58063 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Sun, 27 Aug 2023 14:53:07 +0000
Subject: [PATCH 050/150] add TiPg Benchmarks (pytest) benchmark result for
 6478f8d117daf12e76c087a6197a7876007c2a05

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 3c076cdc..f82fa7dd 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1693058052026,
+  "lastUpdate": 1693147987200,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -11745,6 +11745,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.5831874455442145 msec\nrounds: 101"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "6478f8d117daf12e76c087a6197a7876007c2a05",
+          "message": "Merge pull request #117 from developmentseed/fixUrlFor\n\nallow prefix with path parameters",
+          "timestamp": "2023-08-27T10:46:44-04:00",
+          "tree_id": "675a98257c3030c3962bda79102b61725464862d",
+          "url": "https://github.com/developmentseed/tipg/commit/6478f8d117daf12e76c087a6197a7876007c2a05"
+        },
+        "date": 1693147986255,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 295.3165348876867,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002872796479674789",
+            "extra": "mean: 3.386197120253747 msec\nrounds: 158"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 167.34458388126907,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007146535111775273",
+            "extra": "mean: 5.975693845637094 msec\nrounds: 149"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 305.800105116454,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001496675548704794",
+            "extra": "mean: 3.270110059704468 msec\nrounds: 67"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 179.87115152257013,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00028852267640231934",
+            "extra": "mean: 5.559535209149537 msec\nrounds: 153"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 377.9114999484628,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00039063250440481037",
+            "extra": "mean: 2.646122174467762 msec\nrounds: 235"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 382.8109463259811,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014838998901989036",
+            "extra": "mean: 2.6122554999993497 msec\nrounds: 80"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 414.0304903472904,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006198106135695866",
+            "extra": "mean: 2.4152810561395994 msec\nrounds: 285"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 134.46988551291125,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00040053767516968147",
+            "extra": "mean: 7.436609291260116 msec\nrounds: 103"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 120.37332364184803,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003642393439044593",
+            "extra": "mean: 8.307488484536186 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 75.9741646655492,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00046638567555502906",
+            "extra": "mean: 13.162369134325662 msec\nrounds: 67"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 52.27347335537828,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00047297812608711377",
+            "extra": "mean: 19.13016174000063 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 28.593838072930332,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02076061448493233",
+            "extra": "mean: 34.9725698750003 msec\nrounds: 32"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 26.032649773319744,
+            "unit": "iter/sec",
+            "range": "stddev: 0.016548395724354147",
+            "extra": "mean: 38.41330055555377 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 123.273588797236,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001021321096199363",
+            "extra": "mean: 8.112037702129603 msec\nrounds: 94"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 90.5025919836134,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002231396210705231",
+            "extra": "mean: 11.04940729411443 msec\nrounds: 85"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 53.07038624068857,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006079487770070069",
+            "extra": "mean: 18.842900359999817 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 33.422145223360424,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0016286388054384607",
+            "extra": "mean: 29.92028169697047 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 19.651397319042584,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010348967567378453",
+            "extra": "mean: 50.88696664999901 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 16.44092518811379,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008994509292172195",
+            "extra": "mean: 60.82382764705752 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 128.1117514614871,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00036057890684834063",
+            "extra": "mean: 7.805685181820495 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 92.15114055591543,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008822490140177032",
+            "extra": "mean: 10.851737634144857 msec\nrounds: 82"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 51.555263935155764,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013219398414273498",
+            "extra": "mean: 19.396661439998866 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 31.32266861764213,
+            "unit": "iter/sec",
+            "range": "stddev: 0.021037439093705583",
+            "extra": "mean: 31.925759972978856 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 17.36534182902665,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03514766301546389",
+            "extra": "mean: 57.5859669130424 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 14.797233924091014,
+            "unit": "iter/sec",
+            "range": "stddev: 0.036470116199489006",
+            "extra": "mean: 67.58019810526375 msec\nrounds: 19"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.5882842133648545,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013013309243021156",
+            "extra": "mean: 629.6102369999971 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 30.949622455147612,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03168184640750574",
+            "extra": "mean: 32.310571847821606 msec\nrounds: 46"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.6446609196558758,
+            "unit": "iter/sec",
+            "range": "stddev: 0.05586596643930856",
+            "extra": "mean: 1.5512030736000042 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 13.467612514062706,
+            "unit": "iter/sec",
+            "range": "stddev: 0.05087869451208701",
+            "extra": "mean: 74.25221055000009 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 7.028549443509692,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003536260825883599",
+            "extra": "mean: 142.27686780000113 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 4.39949555700711,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010370792555175605",
+            "extra": "mean: 227.29878619999795 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 153.4797098541762,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004226984868446525",
+            "extra": "mean: 6.515519223681864 msec\nrounds: 76"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 96.91699610842554,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007746243175576754",
+            "extra": "mean: 10.31810766071674 msec\nrounds: 56"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 195.63943921003334,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003370560045338458",
+            "extra": "mean: 5.111443807229617 msec\nrounds: 83"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 178.29737816061132,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004886651234561886",
+            "extra": "mean: 5.608607430554556 msec\nrounds: 72"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 429.30996139419244,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018325948333989094",
+            "extra": "mean: 2.3293193494799898 msec\nrounds: 289"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 478.263596059878,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005152280410787148",
+            "extra": "mean: 2.0908971710127844 msec\nrounds: 345"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 543.5564707363901,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000796252058516512",
+            "extra": "mean: 1.8397352507739209 msec\nrounds: 323"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 41.457807071362275,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020881114515270275",
+            "extra": "mean: 24.12090920001333 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 187.47738380953538,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004063421950877155",
+            "extra": "mean: 5.3339767159111515 msec\nrounds: 88"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 185.37023129796435,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011374399863229694",
+            "extra": "mean: 5.394609441861237 msec\nrounds: 86"
+          }
+        ]
       }
     ]
   }

From c59625451da35fb0dbe55ec83df2519315cc7a1d Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 28 Aug 2023 01:29:40 +0000
Subject: [PATCH 051/150] add TiPg Benchmarks (pytest) benchmark result for
 53bc1463e65c4be4e8296af4b22be5acb92db1d6

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index f82fa7dd..1880d46b 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1693147987200,
+  "lastUpdate": 1693186180615,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -12056,6 +12056,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 5.394609441861237 msec\nrounds: 86"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "53bc1463e65c4be4e8296af4b22be5acb92db1d6",
+          "message": "Merge pull request #119 from developmentseed/pgSettingsTypeAndTests\n\nfix pg settings type and add tests",
+          "timestamp": "2023-08-27T21:23:17-04:00",
+          "tree_id": "7946a615ba65d1c3685b097a084eae53883ccc53",
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+            "extra": "mean: 52.709463444450144 msec\nrounds: 18"
+          },
+          {
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+          },
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+            "extra": "mean: 50.90503095652079 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
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+            "unit": "iter/sec",
+            "range": "stddev: 0.02506403061191454",
+            "extra": "mean: 445.773855799996 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 47.637842155787474,
+            "unit": "iter/sec",
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+            "extra": "mean: 20.991714879312834 msec\nrounds: 58"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
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+            "extra": "mean: 1.1356520518000082 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 18.67080860459428,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03439261817396284",
+            "extra": "mean: 53.5595442692253 msec\nrounds: 26"
+          },
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+            "extra": "mean: 116.18485659999465 msec\nrounds: 5"
+          },
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+            "extra": "mean: 189.4899500000065 msec\nrounds: 5"
+          },
+          {
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+            "unit": "iter/sec",
+            "range": "stddev: 0.00045870775734972334",
+            "extra": "mean: 5.306633597824249 msec\nrounds: 92"
+          },
+          {
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+            "value": 130.6695968210945,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00031584507772132366",
+            "extra": "mean: 7.652889611109338 msec\nrounds: 72"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 250.76946479962612,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013491299630719646",
+            "extra": "mean: 3.9877263398039156 msec\nrounds: 103"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 231.0995137113197,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002504555115625382",
+            "extra": "mean: 4.327140217392063 msec\nrounds: 92"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 496.13289752275347,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003135626139760459",
+            "extra": "mean: 2.0155889782618948 msec\nrounds: 368"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 707.0418846801508,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001280358102443457",
+            "extra": "mean: 1.4143433672990624 msec\nrounds: 422"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 695.6569238765836,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019597822303086466",
+            "extra": "mean: 1.4374901847126729 msec\nrounds: 471"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 50.60180166097077,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000258336248309548",
+            "extra": "mean: 19.76214219999406 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 227.92353241453515,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002508749875344936",
+            "extra": "mean: 4.387436388890522 msec\nrounds: 108"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 222.19004346104956,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00023082881887353341",
+            "extra": "mean: 4.500651714284859 msec\nrounds: 105"
+          }
+        ]
       }
     ]
   }

From 6684ed4226c197ed4f5710bf01477b42bf00611b Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 28 Aug 2023 13:13:08 +0000
Subject: [PATCH 052/150] add TiPg Benchmarks (pytest) benchmark result for
 1fc3b73c17da45826dc821414583059459e7b1b1

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 1880d46b..a4e8dac0 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1693186180615,
+  "lastUpdate": 1693228388403,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -12367,6 +12367,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.500651714284859 msec\nrounds: 105"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "1fc3b73c17da45826dc821414583059459e7b1b1",
+          "message": "Bump version: 0.4.2 → 0.4.3",
+          "timestamp": "2023-08-28T09:05:29-04:00",
+          "tree_id": "97900e0248f94133674d9f6b7fa7c7fdb41e244f",
+          "url": "https://github.com/developmentseed/tipg/commit/1fc3b73c17da45826dc821414583059459e7b1b1"
+        },
+        "date": 1693228387523,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 300.2505540832046,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00048005297011138",
+            "extra": "mean: 3.330551722222244 msec\nrounds: 198"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 173.59223165657912,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005851862433518302",
+            "extra": "mean: 5.760626443113649 msec\nrounds: 167"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 322.4188014697722,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00027853995620129513",
+            "extra": "mean: 3.1015560985941857 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 188.93399570867356,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00044086568812001125",
+            "extra": "mean: 5.292853709302524 msec\nrounds: 172"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 387.6876327883827,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006923211721873868",
+            "extra": "mean: 2.5793961824566245 msec\nrounds: 285"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 392.48382485841097,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00028089576210376933",
+            "extra": "mean: 2.547875700000507 msec\nrounds: 90"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 455.34308435946076,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003155634730064095",
+            "extra": "mean: 2.1961462342328484 msec\nrounds: 333"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 133.40078974334963,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003865204604214973",
+            "extra": "mean: 7.496207495652045 msec\nrounds: 115"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 116.80265413744196,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008108032183274185",
+            "extra": "mean: 8.561449287130905 msec\nrounds: 101"
+          },
+          {
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+            "value": 80.09443682115811,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004271427779422232",
+            "extra": "mean: 12.485261644736799 msec\nrounds: 76"
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+          {
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+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 35.00115069946079,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0204739857342182",
+            "extra": "mean: 28.570489255811967 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 20.564875497466957,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02904098229394478",
+            "extra": "mean: 48.62660122222346 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 17.687019783595694,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03266021290086232",
+            "extra": "mean: 56.538637499997435 msec\nrounds: 8"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.8609752533938722,
+            "unit": "iter/sec",
+            "range": "stddev: 0.042001150717214046",
+            "extra": "mean: 537.3526585999969 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 36.67422060756109,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02709997602444722",
+            "extra": "mean: 27.267109796297376 msec\nrounds: 54"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7896153747882001,
+            "unit": "iter/sec",
+            "range": "stddev: 0.05627361558888153",
+            "extra": "mean: 1.2664393727999936 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 16.619669156275016,
+            "unit": "iter/sec",
+            "range": "stddev: 0.043674931223312355",
+            "extra": "mean: 60.1696694799989 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.18113336889396,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0042077136617225935",
+            "extra": "mean: 122.23245299999235 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.0561447560816175,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008666254420523573",
+            "extra": "mean: 197.77914759999362 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 158.50974439803198,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004682611021182939",
+            "extra": "mean: 6.308760409637099 msec\nrounds: 83"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 110.5669886575283,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003176721264528653",
+            "extra": "mean: 9.044290815384452 msec\nrounds: 65"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 198.00644879782288,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008402895213875097",
+            "extra": "mean: 5.050340562498867 msec\nrounds: 96"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 183.51350693138318,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00035392882666905194",
+            "extra": "mean: 5.449190180720081 msec\nrounds: 83"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 458.76189683331296,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005109164443670558",
+            "extra": "mean: 2.1797799836967306 msec\nrounds: 368"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 610.1214367786964,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00029843175731004593",
+            "extra": "mean: 1.639017972028281 msec\nrounds: 429"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 598.2562612707826,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004707090284588973",
+            "extra": "mean: 1.6715245033555617 msec\nrounds: 447"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 47.32148695429904,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016624255147059815",
+            "extra": "mean: 21.13204940000628 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 185.79264537868679,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000538486671580805",
+            "extra": "mean: 5.382344376236085 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 174.31601980020636,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008914307320913378",
+            "extra": "mean: 5.736707395832911 msec\nrounds: 96"
+          }
+        ]
       }
     ]
   }

From 1034e70ea78565a78783ff2e60517ee702f1c891 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 2 Oct 2023 13:45:43 +0000
Subject: [PATCH 053/150] add TiPg Benchmarks (pytest) benchmark result for
 70778c5e48b47736b07f7a7ce855324f7f4a915e

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index a4e8dac0..ae9fd0f7 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1693228388403,
+  "lastUpdate": 1696254343475,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -12678,6 +12678,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 5.736707395832911 msec\nrounds: 96"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "70778c5e48b47736b07f7a7ce855324f7f4a915e",
+          "message": "Merge pull request #126 from developmentseed/updatePydantic24\n\nupdate pydantic version",
+          "timestamp": "2023-10-02T15:39:03+02:00",
+          "tree_id": "d0a727160036d91e1388a3afb9bdc349dfc2891a",
+          "url": "https://github.com/developmentseed/tipg/commit/70778c5e48b47736b07f7a7ce855324f7f4a915e"
+        },
+        "date": 1696254342444,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 301.9379705575961,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002923182501945342",
+            "extra": "mean: 3.311938535432546 msec\nrounds: 127"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 182.62515111043646,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008113098322857138",
+            "extra": "mean: 5.475697043477234 msec\nrounds: 138"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 291.4285889381081,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004361990185472074",
+            "extra": "mean: 3.4313723428567755 msec\nrounds: 70"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 182.82306081542305,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00030856679356151053",
+            "extra": "mean: 5.4697694893621405 msec\nrounds: 141"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 394.53833368316396,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021151310010321208",
+            "extra": "mean: 2.534607957266467 msec\nrounds: 234"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 376.6702991695437,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001382397548497694",
+            "extra": "mean: 2.6548416538408524 msec\nrounds: 78"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 438.32788171742857,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017569615810327798",
+            "extra": "mean: 2.281397195364035 msec\nrounds: 302"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 136.27145152593295,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009761881057411929",
+            "extra": "mean: 7.338294182693845 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 120.22869028504864,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003621502693073133",
+            "extra": "mean: 8.317482271736578 msec\nrounds: 92"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 77.63679109046586,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00039539549827937777",
+            "extra": "mean: 12.880491142849468 msec\nrounds: 63"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 50.78454102076905,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010480014081608787",
+            "extra": "mean: 19.691031559998464 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 30.38872116883807,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013700112759350123",
+            "extra": "mean: 32.906945785709595 msec\nrounds: 28"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 24.774494885805886,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0188586471662266",
+            "extra": "mean: 40.36409237037291 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 115.02832551545502,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0018486892477239238",
+            "extra": "mean: 8.693510885417885 msec\nrounds: 96"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 104.84748215926247,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00035230267510047913",
+            "extra": "mean: 9.537663465117914 msec\nrounds: 86"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 52.35530180274983,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0016648603799764925",
+            "extra": "mean: 19.100262352942405 msec\nrounds: 51"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 34.19075209158947,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009613876028265024",
+            "extra": "mean: 29.247674848485957 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 19.212997033495707,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0063179148289532585",
+            "extra": "mean: 52.04810047368519 msec\nrounds: 19"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 15.571827448535542,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004444334370019816",
+            "extra": "mean: 64.21853846666181 msec\nrounds: 15"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 126.26897445896068,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004447380915362727",
+            "extra": "mean: 7.919601820517004 msec\nrounds: 39"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 89.73205966497783,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008507342118369211",
+            "extra": "mean: 11.144288939021168 msec\nrounds: 82"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 52.61483097566902,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010357405035768878",
+            "extra": "mean: 19.00604794230805 msec\nrounds: 52"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 32.03616572099078,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01874126012558669",
+            "extra": "mean: 31.214721783786334 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 17.70944594856434,
+            "unit": "iter/sec",
+            "range": "stddev: 0.032142002658281314",
+            "extra": "mean: 56.46704040907997 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 14.8852185909237,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03243684124482536",
+            "extra": "mean: 67.18073999999923 msec\nrounds: 19"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.6890547792313966,
+            "unit": "iter/sec",
+            "range": "stddev: 0.029286454299408772",
+            "extra": "mean: 592.0471095999915 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 34.28013334644516,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02592763706933788",
+            "extra": "mean: 29.171415113637522 msec\nrounds: 44"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.6669612142577269,
+            "unit": "iter/sec",
+            "range": "stddev: 0.06019047741716083",
+            "extra": "mean: 1.4993375606000086 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 13.96734666626308,
+            "unit": "iter/sec",
+            "range": "stddev: 0.048015420530724676",
+            "extra": "mean: 71.59555955000485 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 7.268757658794815,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008274512014340717",
+            "extra": "mean: 137.57509149999692 msec\nrounds: 8"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 4.428451785595645,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011929270081202526",
+            "extra": "mean: 225.81255220000003 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 155.198785957175,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005192315261934151",
+            "extra": "mean: 6.443349371791713 msec\nrounds: 78"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 107.5298720099264,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019562732620752586",
+            "extra": "mean: 9.29974137705369 msec\nrounds: 61"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 204.1185320839941,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002051822306544784",
+            "extra": "mean: 4.8991142048214575 msec\nrounds: 83"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 172.7018745850407,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0018416457142202852",
+            "extra": "mean: 5.790325104477002 msec\nrounds: 67"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 440.2154767298256,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00048117555143984905",
+            "extra": "mean: 2.2716148178809537 msec\nrounds: 302"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 568.8249660956095,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012122673357057292",
+            "extra": "mean: 1.758010037540999 msec\nrounds: 293"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 505.861653401944,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004013788143562567",
+            "extra": "mean: 1.9768250731696142 msec\nrounds: 369"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 41.19383626185273,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00023475003324113452",
+            "extra": "mean: 24.275476399998297 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 192.82729404387894,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020920061155921182",
+            "extra": "mean: 5.185987828945234 msec\nrounds: 76"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 186.21117163830854,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008937369023382544",
+            "extra": "mean: 5.370247075950806 msec\nrounds: 79"
+          }
+        ]
       }
     ]
   }

From 986170536620b50d874c2ba1b952baf53ffcd88b Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 3 Oct 2023 06:30:58 +0000
Subject: [PATCH 054/150] add TiPg Benchmarks (pytest) benchmark result for
 e75fd752f7b3105e1d6b8e7634605550ecef7e54

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index ae9fd0f7..3b4f00ad 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1696254343475,
+  "lastUpdate": 1696314658951,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -12989,6 +12989,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 5.370247075950806 msec\nrounds: 79"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "e75fd752f7b3105e1d6b8e7634605550ecef7e54",
+          "message": "Bump version: 0.4.3 → 0.4.4",
+          "timestamp": "2023-10-03T08:24:07+02:00",
+          "tree_id": "c5a7e888fb82a1775ae5839cb0742d7e3316cf0b",
+          "url": "https://github.com/developmentseed/tipg/commit/e75fd752f7b3105e1d6b8e7634605550ecef7e54"
+        },
+        "date": 1696314657819,
+        "tool": "pytest",
+        "benches": [
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+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 267.73099803072216,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008079838263803516",
+            "extra": "mean: 3.735092340279738 msec\nrounds: 144"
+          },
+          {
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+            "value": 169.58833127786977,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008104651717529764",
+            "extra": "mean: 5.896632111801986 msec\nrounds: 161"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 269.71994438724937,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005836133451227648",
+            "extra": "mean: 3.7075493333346308 msec\nrounds: 75"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 175.05923181080325,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0013245915849923455",
+            "extra": "mean: 5.7123522687495765 msec\nrounds: 160"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 340.08493544916905,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004946614672628768",
+            "extra": "mean: 2.9404419183673762 msec\nrounds: 245"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 342.0550585824008,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003146143409870563",
+            "extra": "mean: 2.923505952943247 msec\nrounds: 85"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 392.818909828259,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000774885510089034",
+            "extra": "mean: 2.5457022943147045 msec\nrounds: 299"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 132.92403592312527,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000816070781249228",
+            "extra": "mean: 7.523093871287024 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 121.99002399103077,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009263629026094873",
+            "extra": "mean: 8.19739161682208 msec\nrounds: 107"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 76.84699859829705,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012248311285389785",
+            "extra": "mean: 13.012869965518215 msec\nrounds: 58"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 57.20867185895398,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006542016572128997",
+            "extra": "mean: 17.479867431033284 msec\nrounds: 58"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 35.79934196751819,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007428568660599457",
+            "extra": "mean: 27.93347433333635 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 28.450108228330965,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012534437074346625",
+            "extra": "mean: 35.14925117241514 msec\nrounds: 29"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 126.54939427588509,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008488161897162848",
+            "extra": "mean: 7.902052836538606 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 91.91998848417087,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0011282472183745795",
+            "extra": "mean: 10.87902660227384 msec\nrounds: 88"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 51.880737339217475,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001577207100635283",
+            "extra": "mean: 19.274976634614713 msec\nrounds: 52"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 32.728019468667824,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0022010778222656666",
+            "extra": "mean: 30.554858382351863 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 18.40926388399906,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0030869897023960142",
+            "extra": "mean: 54.320477249999044 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 14.181040795726634,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011605240708933706",
+            "extra": "mean: 70.51668593333034 msec\nrounds: 15"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 126.59373452455834,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005832197662749906",
+            "extra": "mean: 7.899285093023357 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 99.72858206028634,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012702637284808275",
+            "extra": "mean: 10.027215662160883 msec\nrounds: 74"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 52.68987394664432,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007714800082616045",
+            "extra": "mean: 18.978978788460118 msec\nrounds: 52"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 37.093799042431556,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0018696312593765425",
+            "extra": "mean: 26.958683818179452 msec\nrounds: 11"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 18.488802545516286,
+            "unit": "iter/sec",
+            "range": "stddev: 0.025491150159529744",
+            "extra": "mean: 54.086791047617616 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 16.196885321134925,
+            "unit": "iter/sec",
+            "range": "stddev: 0.026767074128293548",
+            "extra": "mean: 61.740265500004746 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.062646403676705,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04013449166466239",
+            "extra": "mean: 484.8140709999939 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 47.267283472342214,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01647908518837106",
+            "extra": "mean: 21.156282454546727 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7881949772045831,
+            "unit": "iter/sec",
+            "range": "stddev: 0.06302266234795938",
+            "extra": "mean: 1.2687216094000064 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 18.29548117433429,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03360805299530729",
+            "extra": "mean: 54.6583055384651 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 7.860587842113984,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01707086466830246",
+            "extra": "mean: 127.21694866666175 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.024724967345072,
+            "unit": "iter/sec",
+            "range": "stddev: 0.019493243883916142",
+            "extra": "mean: 199.01586783333394 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 160.4615561302861,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00068328238606103",
+            "extra": "mean: 6.232022324325796 msec\nrounds: 74"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 103.89433998394951,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008893832393445805",
+            "extra": "mean: 9.625163412698793 msec\nrounds: 63"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 167.96417257013428,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007042617294150588",
+            "extra": "mean: 5.953650619047613 msec\nrounds: 84"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 159.10099372887805,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000622944837639525",
+            "extra": "mean: 6.285315864865602 msec\nrounds: 74"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 373.68245396741054,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004600375574433743",
+            "extra": "mean: 2.676068917293108 msec\nrounds: 266"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 488.77950311521084,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005091498456500569",
+            "extra": "mean: 2.045912305296257 msec\nrounds: 321"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 479.89639078194614,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003604823372770729",
+            "extra": "mean: 2.083783123208311 msec\nrounds: 349"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 42.521924304142814,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010290248144180314",
+            "extra": "mean: 23.517280000015717 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 198.93270099366825,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004945340594391225",
+            "extra": "mean: 5.026825629999507 msec\nrounds: 100"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 196.4391672765982,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00039154133398389937",
+            "extra": "mean: 5.0906344893630076 msec\nrounds: 94"
+          }
+        ]
       }
     ]
   }

From 2558ad372ba9cc695b4893f67cf14b9a81f699ec Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 18 Oct 2023 15:38:13 +0000
Subject: [PATCH 055/150] add TiPg Benchmarks (pytest) benchmark result for
 11b44114aa5f60011d027ec0c2c10863a978d1d3

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 3b4f00ad..2dd6afbe 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1696314658951,
+  "lastUpdate": 1697643493821,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -13300,6 +13300,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 5.0906344893630076 msec\nrounds: 94"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "11b44114aa5f60011d027ec0c2c10863a978d1d3",
+          "message": "Merge pull request #133 from developmentseed/patch/hide-map-elelemt\n\nhide map element in HTML pages when collections/items do not have spatial component",
+          "timestamp": "2023-10-18T17:31:29+02:00",
+          "tree_id": "9c4fe5b0d0128b91559a1be66be9a5764025fcd8",
+          "url": "https://github.com/developmentseed/tipg/commit/11b44114aa5f60011d027ec0c2c10863a978d1d3"
+        },
+        "date": 1697643492717,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 245.78842355529304,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00047675986020069333",
+            "extra": "mean: 4.068539866667228 msec\nrounds: 150"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 146.7844615232402,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015306568696800708",
+            "extra": "mean: 6.812710212120588 msec\nrounds: 132"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 232.69802470102965,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005391769180764781",
+            "extra": "mean: 4.2974150781245335 msec\nrounds: 64"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 146.1465621128356,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007820394135744702",
+            "extra": "mean: 6.84244627819523 msec\nrounds: 133"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 322.66195288265413,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00048566778171638396",
+            "extra": "mean: 3.099218829694744 msec\nrounds: 229"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 272.16161187851674,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006340402992621338",
+            "extra": "mean: 3.6742874687498706 msec\nrounds: 64"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 330.0025334880132,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004491120556264463",
+            "extra": "mean: 3.0302797661288965 msec\nrounds: 248"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 107.88222189601002,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000954130633661728",
+            "extra": "mean: 9.269367857142592 msec\nrounds: 84"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 88.81248473575877,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00132049696777434",
+            "extra": "mean: 11.259678219512395 msec\nrounds: 82"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 60.76418874531718,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012624289183398969",
+            "extra": "mean: 16.457061645162923 msec\nrounds: 62"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 42.03670323802795,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01110872178855118",
+            "extra": "mean: 23.78873515217443 msec\nrounds: 46"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 26.18532353558364,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01729365839408987",
+            "extra": "mean: 38.18933146428703 msec\nrounds: 28"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 21.546270857264798,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02338308830002849",
+            "extra": "mean: 46.41174366666926 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 91.12423236173998,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001067989287990261",
+            "extra": "mean: 10.97402934523777 msec\nrounds: 84"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 79.95594143339117,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001163674427587834",
+            "extra": "mean: 12.50688794444462 msec\nrounds: 72"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 36.720544915185094,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005363783957623249",
+            "extra": "mean: 27.232711342103986 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 25.35853760910675,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0023609443999235524",
+            "extra": "mean: 39.43445065384529 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 15.208231038547824,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0022025993527433506",
+            "extra": "mean: 65.75386693332916 msec\nrounds: 15"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 12.423616003741902,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0023675637095660652",
+            "extra": "mean: 80.49186321428537 msec\nrounds: 14"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 92.33223796147803,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0018863512955781384",
+            "extra": "mean: 10.830453393940374 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 79.32969890199547,
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+            "extra": "mean: 12.605619507460979 msec\nrounds: 67"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
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+            "range": "stddev: 0.01140696524740737",
+            "extra": "mean: 21.90993541666882 msec\nrounds: 48"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 28.670557892687896,
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+            "extra": "mean: 34.878986441175556 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 15.859431209293096,
+            "unit": "iter/sec",
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+            "extra": "mean: 63.05396371428715 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 12.67505661420302,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04489551776575911",
+            "extra": "mean: 78.89511111764591 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.4399636624133039,
+            "unit": "iter/sec",
+            "range": "stddev: 0.06418297720040653",
+            "extra": "mean: 694.4619687999989 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 33.80724152911537,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02690112325881413",
+            "extra": "mean: 29.579461522726803 msec\nrounds: 44"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.6161029343074929,
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+            "range": "stddev: 0.08157959383656917",
+            "extra": "mean: 1.6231054006000023 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 15.673638238255727,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03387820522232193",
+            "extra": "mean: 63.801396000019395 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 6.777147794558584,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009895997495781175",
+            "extra": "mean: 147.5546985714118 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 4.3459813803623915,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013763509380835476",
+            "extra": "mean: 230.09762640000417 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 121.77490875020004,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002121986612389241",
+            "extra": "mean: 8.21187229999347 msec\nrounds: 70"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 93.78509752115387,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006674114081744083",
+            "extra": "mean: 10.66267484313745 msec\nrounds: 51"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 152.31525949713432,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0014490631734695226",
+            "extra": "mean: 6.565330376624637 msec\nrounds: 77"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 146.40447056483603,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003742159393846497",
+            "extra": "mean: 6.8303925156243395 msec\nrounds: 64"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 370.0128514986745,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00032572998328144446",
+            "extra": "mean: 2.7026088308816005 msec\nrounds: 272"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 481.58671074523033,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002892323228773966",
+            "extra": "mean: 2.076469258158208 msec\nrounds: 337"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 452.45314501714483,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00040447071646847736",
+            "extra": "mean: 2.2101736080585916 msec\nrounds: 273"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 37.196535229025855,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006023757341254087",
+            "extra": "mean: 26.88422440000977 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 163.84278739431238,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006357925872708522",
+            "extra": "mean: 6.103411788236666 msec\nrounds: 85"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 159.63107260619202,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005139844505959196",
+            "extra": "mean: 6.264444532468865 msec\nrounds: 77"
+          }
+        ]
       }
     ]
   }

From 7c187b9988a5b2d6770b211f844e6f8dbe6bc06a Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Fri, 27 Oct 2023 08:14:20 +0000
Subject: [PATCH 056/150] add TiPg Benchmarks (pytest) benchmark result for
 7859298f02f3c4490aad28893f4e0c8fd36f96c8

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 2dd6afbe..3b687915 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1697643493821,
+  "lastUpdate": 1698394460373,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -13611,6 +13611,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 6.264444532468865 msec\nrounds: 77"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "7859298f02f3c4490aad28893f4e0c8fd36f96c8",
+          "message": "Merge pull request #135 from developmentseed/splitRouteRegistration\n\nsplit route registration to allow endpoint overriding",
+          "timestamp": "2023-10-27T10:06:56+02:00",
+          "tree_id": "5bb78a3695981577eced4686d1152f69a9826657",
+          "url": "https://github.com/developmentseed/tipg/commit/7859298f02f3c4490aad28893f4e0c8fd36f96c8"
+        },
+        "date": 1698394459788,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 220.68157813717056,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007502643968261362",
+            "extra": "mean: 4.531415845587361 msec\nrounds: 136"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 148.47257981974167,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008123597158507053",
+            "extra": "mean: 6.735250382354001 msec\nrounds: 136"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 252.72387294563813,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00038720609109610274",
+            "extra": "mean: 3.956887761905674 msec\nrounds: 63"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 134.5087597393702,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015114615902210584",
+            "extra": "mean: 7.4344600451126155 msec\nrounds: 133"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 288.25088288318966,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0016257866257088033",
+            "extra": "mean: 3.469200128713009 msec\nrounds: 202"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 298.075546545562,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00035385316623880565",
+            "extra": "mean: 3.354854202530653 msec\nrounds: 79"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 327.26360545809865,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0016523082521522755",
+            "extra": "mean: 3.0556407230196436 msec\nrounds: 278"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 96.2987953067582,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002204943101332048",
+            "extra": "mean: 10.384345897729215 msec\nrounds: 88"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 80.40159414153521,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0026800672351834005",
+            "extra": "mean: 12.437564337836967 msec\nrounds: 74"
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+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
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+            "unit": "iter/sec",
+            "range": "stddev: 0.0016400179365324544",
+            "extra": "mean: 17.084792965518098 msec\nrounds: 58"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
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+            "unit": "iter/sec",
+            "range": "stddev: 0.014157972081790576",
+            "extra": "mean: 25.72907190909487 msec\nrounds: 44"
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+          {
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+            "value": 25.907027708731757,
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+            "extra": "mean: 38.59956500000029 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 21.335317875191613,
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+            "extra": "mean: 46.87063983999906 msec\nrounds: 25"
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+          {
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+            "extra": "mean: 85.81338523076563 msec\nrounds: 13"
+          },
+          {
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+            "extra": "mean: 11.680323696966202 msec\nrounds: 33"
+          },
+          {
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+            "value": 76.94395602725348,
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+          {
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+            "value": 41.261825459180926,
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+            "extra": "mean: 24.23547646938863 msec\nrounds: 49"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
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+            "value": 15.65505849060849,
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+            "value": 30.550244423852476,
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+            "extra": "mean: 32.7329623333304 msec\nrounds: 42"
+          },
+          {
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+          },
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+          },
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+            "extra": "mean: 6.493784063289822 msec\nrounds: 79"
+          }
+        ]
       }
     ]
   }

From a66cbad6624fe064ef916dad0a3f62f922d1f628 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 30 Oct 2023 19:29:40 +0000
Subject: [PATCH 057/150] add TiPg Benchmarks (pytest) benchmark result for
 8a54e31e7acc0a82167a0f3c9da294b7c3f7882f

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 3b687915..3f8a9bda 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1698394460373,
+  "lastUpdate": 1698694180636,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -13922,6 +13922,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 6.493784063289822 msec\nrounds: 79"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "8a54e31e7acc0a82167a0f3c9da294b7c3f7882f",
+          "message": "Merge pull request #131 from developmentseed/patch/includes-excludes\n\nfix exclude/include tables",
+          "timestamp": "2023-10-30T20:23:10+01:00",
+          "tree_id": "4a6902147f17a1e35f7631de483acbf07682774c",
+          "url": "https://github.com/developmentseed/tipg/commit/8a54e31e7acc0a82167a0f3c9da294b7c3f7882f"
+        },
+        "date": 1698694180089,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 240.21953147459286,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00035240039769226893",
+            "extra": "mean: 4.162858839418586 msec\nrounds: 137"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 152.5813676827347,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012273647671282803",
+            "extra": "mean: 6.553880170213959 msec\nrounds: 141"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 236.6347245980547,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00040479828454374197",
+            "extra": "mean: 4.225922470586638 msec\nrounds: 68"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 152.99146735001906,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005593091036420572",
+            "extra": "mean: 6.5363122357155135 msec\nrounds: 140"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 319.28436973855673,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006054822068501102",
+            "extra": "mean: 3.1320042406674697 msec\nrounds: 241"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 284.2290434124812,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005772017622583643",
+            "extra": "mean: 3.5182892923042064 msec\nrounds: 65"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 333.4470449719176,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0013297239168036164",
+            "extra": "mean: 2.998976944252778 msec\nrounds: 287"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 119.08399608378124,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005063463324822539",
+            "extra": "mean: 8.397434020407347 msec\nrounds: 98"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 104.12935760142868,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000904033315217505",
+            "extra": "mean: 9.603439635416322 msec\nrounds: 96"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 71.68163022378047,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006835865850530904",
+            "extra": "mean: 13.95057557812418 msec\nrounds: 64"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 47.669144661690915,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009759764345513492",
+            "extra": "mean: 20.97793042222646 msec\nrounds: 45"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 31.29104716668051,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009362209670602143",
+            "extra": "mean: 31.958022838712317 msec\nrounds: 31"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 25.44347707255588,
+            "unit": "iter/sec",
+            "range": "stddev: 0.015811881674654697",
+            "extra": "mean: 39.30280429629765 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 102.13898595112923,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0017838449240502392",
+            "extra": "mean: 9.790580851061838 msec\nrounds: 94"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 82.86055588157778,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008973623131004267",
+            "extra": "mean: 12.068468396822908 msec\nrounds: 63"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 43.04521553769777,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0023060487706052044",
+            "extra": "mean: 23.231385590907973 msec\nrounds: 44"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 26.52119400059654,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005842445459578478",
+            "extra": "mean: 37.70569303846226 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 16.145611012622723,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0028230589679194428",
+            "extra": "mean: 61.93633670588216 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 12.391881666527588,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008115825567969807",
+            "extra": "mean: 80.69799461539053 msec\nrounds: 13"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 106.97646333192887,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006542832903851717",
+            "extra": "mean: 9.347850628574049 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 92.1592853151175,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009483579825505519",
+            "extra": "mean: 10.850778590358312 msec\nrounds: 83"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 49.108282039401736,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009174676000236644",
+            "extra": "mean: 20.363163981131656 msec\nrounds: 53"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 29.815957162415916,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01903371849429721",
+            "extra": "mean: 33.53908762857145 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 18.618411294503932,
+            "unit": "iter/sec",
+            "range": "stddev: 0.025098534534298923",
+            "extra": "mean: 53.71027549999367 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 15.961083880176076,
+            "unit": "iter/sec",
+            "range": "stddev: 0.025686011197741575",
+            "extra": "mean: 62.652386736844115 msec\nrounds: 19"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.8175237331540628,
+            "unit": "iter/sec",
+            "range": "stddev: 0.038106712417492694",
+            "extra": "mean: 550.1991427999883 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 38.916788998275464,
+            "unit": "iter/sec",
+            "range": "stddev: 0.019223539147694396",
+            "extra": "mean: 25.695850704545883 msec\nrounds: 44"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.6877473664366971,
+            "unit": "iter/sec",
+            "range": "stddev: 0.07448212168269079",
+            "extra": "mean: 1.454022288999988 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 15.279647085961418,
+            "unit": "iter/sec",
+            "range": "stddev: 0.041019507920175884",
+            "extra": "mean: 65.44653776190789 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 7.391875188601499,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013514663713418727",
+            "extra": "mean: 135.28366949999793 msec\nrounds: 8"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 4.494810215263886,
+            "unit": "iter/sec",
+            "range": "stddev: 0.018398741981674092",
+            "extra": "mean: 222.4788038000156 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 138.32568351447543,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006364198686434687",
+            "extra": "mean: 7.229315443038115 msec\nrounds: 79"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 97.39432135331413,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006999323638653883",
+            "extra": "mean: 10.267539073169713 msec\nrounds: 41"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 166.0384197436887,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008852895453109733",
+            "extra": "mean: 6.022702465752726 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 163.22413704467482,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00042917925579649707",
+            "extra": "mean: 6.126544873239536 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 383.9450141409382,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00045522711059247826",
+            "extra": "mean: 2.604539616792421 msec\nrounds: 274"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 482.69566786521494,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007622084050351511",
+            "extra": "mean: 2.0716987256642088 msec\nrounds: 339"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 447.7310877713822,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003658147758521166",
+            "extra": "mean: 2.2334835067575516 msec\nrounds: 296"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 40.68475568403995,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004386873975191705",
+            "extra": "mean: 24.5792308000091 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 172.36545739745924,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000543839364241205",
+            "extra": "mean: 5.801626469125365 msec\nrounds: 81"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 172.11135225052283,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004988526174331316",
+            "extra": "mean: 5.8101919886400895 msec\nrounds: 88"
+          }
+        ]
       }
     ]
   }

From 83cadb335cd740814fe49e89cd15d0fa8c1f5dbb Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 31 Oct 2023 14:20:34 +0000
Subject: [PATCH 058/150] add TiPg Benchmarks (pytest) benchmark result for
 a284292cb76b2ef70de6d81fbf729729c39ad9f3

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 3f8a9bda..720780bf 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1698694180636,
+  "lastUpdate": 1698762034591,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -14233,6 +14233,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 5.8101919886400895 msec\nrounds: 88"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "a284292cb76b2ef70de6d81fbf729729c39ad9f3",
+          "message": "Merge pull request #136 from developmentseed/refactorCatalogParams\n\nRefactor catalog params",
+          "timestamp": "2023-10-31T15:14:07+01:00",
+          "tree_id": "69bdd6d66da19d3e26a77fe17b2cc959e56c6b02",
+          "url": "https://github.com/developmentseed/tipg/commit/a284292cb76b2ef70de6d81fbf729729c39ad9f3"
+        },
+        "date": 1698762033920,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 389.8174657849523,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001346513331121",
+            "extra": "mean: 2.5653032195116228 msec\nrounds: 205"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 235.81724379810439,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001314043223951821",
+            "extra": "mean: 4.240571995049492 msec\nrounds: 202"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 386.9907532429826,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012887457842136315",
+            "extra": "mean: 2.5840410697671707 msec\nrounds: 86"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 226.57826331125347,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016911503432068357",
+            "extra": "mean: 4.413486030768482 msec\nrounds: 195"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 497.36579735757243,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012218872577341353",
+            "extra": "mean: 2.0105926167678705 msec\nrounds: 334"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 474.5252825568808,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012230952747538322",
+            "extra": "mean: 2.10736927358582 msec\nrounds: 106"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 560.1728217671863,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009868798011117214",
+            "extra": "mean: 1.785163365914976 msec\nrounds: 399"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 171.72340015031662,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001975764018515539",
+            "extra": "mean: 5.823318191490841 msec\nrounds: 141"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 150.89509342585401,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005174120591189715",
+            "extra": "mean: 6.627120718748714 msec\nrounds: 128"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 92.37633529510073,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004799516181177598",
+            "extra": "mean: 10.825283302324683 msec\nrounds: 86"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 65.4199256164811,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005496999397562707",
+            "extra": "mean: 15.285862687500096 msec\nrounds: 64"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 40.93348370299044,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006767118864512801",
+            "extra": "mean: 24.42987768292352 msec\nrounds: 41"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 31.877819596559092,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012522450839551913",
+            "extra": "mean: 31.369774114285423 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 164.99236600027038,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001625180883885496",
+            "extra": "mean: 6.0608864776104925 msec\nrounds: 134"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 131.78887347828973,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003126913356476361",
+            "extra": "mean: 7.587893982299919 msec\nrounds: 113"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 71.00074025478915,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004241045785840394",
+            "extra": "mean: 14.084360196970593 msec\nrounds: 66"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 44.912298902681094,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004133500660856742",
+            "extra": "mean: 22.2656159767476 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
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+            "extra": "mean: 3.9409928773576093 msec\nrounds: 106"
+          },
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+            "unit": "iter/sec",
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+            "extra": "mean: 4.308773344087852 msec\nrounds: 93"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
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+          },
+          {
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+          {
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+            "extra": "mean: 4.3303812792793135 msec\nrounds: 111"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 224.97888641484812,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008029404899892052",
+            "extra": "mean: 4.444861542056251 msec\nrounds: 107"
+          }
+        ]
       }
     ]
   }

From fb871e5e8ce526f07a66ba6faafa8c13961446cb Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 2 Nov 2023 16:39:38 +0000
Subject: [PATCH 059/150] add TiPg Benchmarks (pytest) benchmark result for
 e921266dfb1b19ebc012d7533e860faa2b3f5623

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 720780bf..b5cf0c2c 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1698762034591,
+  "lastUpdate": 1698943177985,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -14544,6 +14544,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.444861542056251 msec\nrounds: 107"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "e921266dfb1b19ebc012d7533e860faa2b3f5623",
+          "message": "Bump version: 0.4.4 → 0.5.0",
+          "timestamp": "2023-11-02T17:32:55+01:00",
+          "tree_id": "8e887aaebeff2c81401c50f20adc14c644e60389",
+          "url": "https://github.com/developmentseed/tipg/commit/e921266dfb1b19ebc012d7533e860faa2b3f5623"
+        },
+        "date": 1698943176295,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 293.42886200801485,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00024045578576869213",
+            "extra": "mean: 3.4079810457523623 msec\nrounds: 153"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 188.14398200895758,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00042374904812340143",
+            "extra": "mean: 5.315078320987114 msec\nrounds: 162"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 303.645174208001,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019365798169811426",
+            "extra": "mean: 3.2933176119406617 msec\nrounds: 67"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 176.6114781868409,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006546231929774913",
+            "extra": "mean: 5.662146142857597 msec\nrounds: 133"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 384.900489262013,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00026244042473215165",
+            "extra": "mean: 2.598074120189727 msec\nrounds: 208"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
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+            "unit": "iter/sec",
+            "range": "stddev: 0.0012252263822878898",
+            "extra": "mean: 2.9928992117644984 msec\nrounds: 85"
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+            "unit": "iter/sec",
+            "range": "stddev: 0.0004695337976789282",
+            "extra": "mean: 5.377472144444559 msec\nrounds: 90"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 182.4968335261223,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005136992803556794",
+            "extra": "mean: 5.479547127905985 msec\nrounds: 86"
+          }
+        ]
       }
     ]
   }

From e76eaf9d403dd2e0c9911a6a4d59452682145cfe Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 15 Nov 2023 15:57:14 +0000
Subject: [PATCH 060/150] add TiPg Benchmarks (pytest) benchmark result for
 f5d4c57e2be4fe84f26a65230901f6269db41437

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index b5cf0c2c..3cde7850 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1698943177985,
+  "lastUpdate": 1700063833994,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -14855,6 +14855,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 5.479547127905985 msec\nrounds: 86"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "f5d4c57e2be4fe84f26a65230901f6269db41437",
+          "message": "Merge pull request #140 from developmentseed/nullfix\n\nadd fix for using is null",
+          "timestamp": "2023-11-15T16:51:20+01:00",
+          "tree_id": "dff5b35fca98c934000533631f3ab4cfd15a95d3",
+          "url": "https://github.com/developmentseed/tipg/commit/f5d4c57e2be4fe84f26a65230901f6269db41437"
+        },
+        "date": 1700063832981,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 234.19558862359992,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007096140451321241",
+            "extra": "mean: 4.269935253166548 msec\nrounds: 158"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 145.26760205974784,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001110479401059739",
+            "extra": "mean: 6.883847367348329 msec\nrounds: 147"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 243.2225315545225,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006439897350665763",
+            "extra": "mean: 4.111461194029357 msec\nrounds: 67"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 143.23781833345964,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009532839027454591",
+            "extra": "mean: 6.98139647500066 msec\nrounds: 120"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 304.8818598037252,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005417464543250425",
+            "extra": "mean: 3.279959000000109 msec\nrounds: 239"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 283.12505480370027,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008778816292424868",
+            "extra": "mean: 3.5320081463413127 msec\nrounds: 82"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 298.2872240037227,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0013712089721707593",
+            "extra": "mean: 3.3524734535312173 msec\nrounds: 269"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 103.12735570809903,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002123457622727346",
+            "extra": "mean: 9.696748191920001 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 94.9247498818027,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001524495810003594",
+            "extra": "mean: 10.534660362499437 msec\nrounds: 80"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 63.31610471746825,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008367569883390633",
+            "extra": "mean: 15.793770075753104 msec\nrounds: 66"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 44.15354782969055,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0029359979658351355",
+            "extra": "mean: 22.648236645834412 msec\nrounds: 48"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 25.4908716091016,
+            "unit": "iter/sec",
+            "range": "stddev: 0.016401326292430587",
+            "extra": "mean: 39.22972958064513 msec\nrounds: 31"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 23.207172858548542,
+            "unit": "iter/sec",
+            "range": "stddev: 0.019369897646956673",
+            "extra": "mean: 43.09012588888621 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 93.70515426254825,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0020338046274040126",
+            "extra": "mean: 10.671771556964146 msec\nrounds: 79"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 75.1566828193599,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001912450490465613",
+            "extra": "mean: 13.305536679998417 msec\nrounds: 75"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 40.459923805882276,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003156650371882264",
+            "extra": "mean: 24.71581520513429 msec\nrounds: 39"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 24.99863804919744,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0037182253741879384",
+            "extra": "mean: 40.00217924000481 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 14.402675685305299,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0033780917877960026",
+            "extra": "mean: 69.4315432666637 msec\nrounds: 15"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 11.640403522574845,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00479146804929302",
+            "extra": "mean: 85.90767476923352 msec\nrounds: 13"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 88.79897630767107,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0017370165450902482",
+            "extra": "mean: 11.261391083329563 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 78.15054847258315,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0021369176246238825",
+            "extra": "mean: 12.795815506666864 msec\nrounds: 75"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 44.43790618832984,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01246089175283311",
+            "extra": "mean: 22.503310479165133 msec\nrounds: 48"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 26.751163186241005,
+            "unit": "iter/sec",
+            "range": "stddev: 0.025575509296598953",
+            "extra": "mean: 37.38155208571762 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 16.97621638489322,
+            "unit": "iter/sec",
+            "range": "stddev: 0.030431974673749224",
+            "extra": "mean: 58.90594095453914 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 13.523342658667882,
+            "unit": "iter/sec",
+            "range": "stddev: 0.038663264296602204",
+            "extra": "mean: 73.94621472221905 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.5802754418830738,
+            "unit": "iter/sec",
+            "range": "stddev: 0.060688746543796704",
+            "extra": "mean: 632.8010760000097 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 29.65758319603349,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03124534376208584",
+            "extra": "mean: 33.71818915216745 msec\nrounds: 46"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.6456399086018754,
+            "unit": "iter/sec",
+            "range": "stddev: 0.09076728056696547",
+            "extra": "mean: 1.548850971999991 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 13.518558702254527,
+            "unit": "iter/sec",
+            "range": "stddev: 0.052929330747369406",
+            "extra": "mean: 73.97238285714788 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 5.763190322904954,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01208561364578674",
+            "extra": "mean: 173.51500539998597 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 3.7462575149667914,
+            "unit": "iter/sec",
+            "range": "stddev: 0.017930390889685347",
+            "extra": "mean: 266.93306479996863 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 86.41023099894556,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0032103252880456234",
+            "extra": "mean: 11.572703700007498 msec\nrounds: 60"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 61.93057139236294,
+            "unit": "iter/sec",
+            "range": "stddev: 0.015458616069852672",
+            "extra": "mean: 16.147114058813873 msec\nrounds: 51"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 102.60389826951581,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0031372282494998255",
+            "extra": "mean: 9.746218388050325 msec\nrounds: 67"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 110.13926008037951,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002769751510082749",
+            "extra": "mean: 9.079414545460002 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 284.879652097171,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015284162720615405",
+            "extra": "mean: 3.5102542166083 msec\nrounds: 277"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 399.9397056262399,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0013881513886409484",
+            "extra": "mean: 2.500376896647869 msec\nrounds: 358"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 382.022420299441,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015673098671692876",
+            "extra": "mean: 2.617647412463826 msec\nrounds: 337"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 36.054068267125345,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006502642671058779",
+            "extra": "mean: 27.73612100002083 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 141.9559763943754,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0019845069146193083",
+            "extra": "mean: 7.044437475614603 msec\nrounds: 82"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 135.023357229028,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0018019594767435098",
+            "extra": "mean: 7.4061260253201215 msec\nrounds: 79"
+          }
+        ]
       }
     ]
   }

From ad3e9b944e25d6a7f1ebc9b2ef617ef706a39906 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 15 Nov 2023 15:59:28 +0000
Subject: [PATCH 061/150] add TiPg Benchmarks (pytest) benchmark result for
 a849919901ff6a23cb48fc30f97e0777bef1f195

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 3cde7850..64cab1fb 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1700063833994,
+  "lastUpdate": 1700063968803,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -15166,6 +15166,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 7.4061260253201215 msec\nrounds: 79"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "a849919901ff6a23cb48fc30f97e0777bef1f195",
+          "message": "Bump version: 0.5.0 → 0.5.1",
+          "timestamp": "2023-11-15T16:53:38+01:00",
+          "tree_id": "3b5c531215c1d410c180459ac5660aeb33a047bb",
+          "url": "https://github.com/developmentseed/tipg/commit/a849919901ff6a23cb48fc30f97e0777bef1f195"
+        },
+        "date": 1700063967578,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 382.806278197355,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001423069510272549",
+            "extra": "mean: 2.6122873551317567 msec\nrounds: 214"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 232.95078343010547,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013359126803253658",
+            "extra": "mean: 4.292752251249843 msec\nrounds: 199"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 373.54754707926065,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015596683171788955",
+            "extra": "mean: 2.6770353809546408 msec\nrounds: 84"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 224.10947920908686,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018306927755248374",
+            "extra": "mean: 4.462104876282509 msec\nrounds: 194"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 487.6460509988866,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004264257342418436",
+            "extra": "mean: 2.0506676880733794 msec\nrounds: 327"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 461.91043883417757,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002239025298015566",
+            "extra": "mean: 2.164921846156832 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 562.1405676843289,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011701578249821452",
+            "extra": "mean: 1.7789144877399277 msec\nrounds: 367"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 166.69630197648746,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00023539458810225463",
+            "extra": "mean: 5.998933318515069 msec\nrounds: 135"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 145.5298772371822,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004712269409230203",
+            "extra": "mean: 6.8714412393148425 msec\nrounds: 117"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 87.17064881168929,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006029585731316838",
+            "extra": "mean: 11.471751256093706 msec\nrounds: 82"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 67.07399181551307,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021865853402424173",
+            "extra": "mean: 14.908908400002474 msec\nrounds: 60"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 37.29118745975828,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010906842720268787",
+            "extra": "mean: 26.81598704999999 msec\nrounds: 40"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 31.58277246262352,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011528304239487306",
+            "extra": "mean: 31.66283141175922 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 161.28744182825056,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002666653412337647",
+            "extra": "mean: 6.200110738099904 msec\nrounds: 126"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 128.89482784275992,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00028026798092749906",
+            "extra": "mean: 7.75826320370209 msec\nrounds: 108"
+          },
+          {
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+            "extra": "mean: 440.13768219997473 msec\nrounds: 5"
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+          },
+          {
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+            "value": 18.718676673420536,
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+          },
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+            "extra": "mean: 5.1758602608703335 msec\nrounds: 92"
+          },
+          {
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+            "value": 130.49229512522413,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002557798865398671",
+            "extra": "mean: 7.663287698636701 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 248.87228236910036,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00028613367241870843",
+            "extra": "mean: 4.018125242717502 msec\nrounds: 103"
+          },
+          {
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+            "value": 229.16800045602122,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013245019878651518",
+            "extra": "mean: 4.363610966671179 msec\nrounds: 90"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 532.0732591561483,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011424170606726235",
+            "extra": "mean: 1.8794404394349173 msec\nrounds: 355"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 703.5823068657693,
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+          },
+          {
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+            "extra": "mean: 1.5461592930642007 msec\nrounds: 447"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 50.66683328617669,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014957839506358995",
+            "extra": "mean: 19.736777200023425 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 229.32430153927305,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002401936714849597",
+            "extra": "mean: 4.360636850468046 msec\nrounds: 107"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 222.29711069893008,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007944567290429753",
+            "extra": "mean: 4.498484019229374 msec\nrounds: 104"
+          }
+        ]
       }
     ]
   }

From 5bd37293a20638a36acfcb57b9a443ba1eee59ca Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 28 Nov 2023 11:27:26 +0000
Subject: [PATCH 062/150] add TiPg Benchmarks (pytest) benchmark result for
 76956abaca663aa2aba13a399f5490481cbdab84

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 64cab1fb..82205250 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1700063968803,
+  "lastUpdate": 1701170846830,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -15477,6 +15477,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.498484019229374 msec\nrounds: 104"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "76956abaca663aa2aba13a399f5490481cbdab84",
+          "message": "Merge pull request #143 from hrodmn/extents-optional\n\nmake calculating spatial/datetime extents optional",
+          "timestamp": "2023-11-28T12:22:14+01:00",
+          "tree_id": "a48b90acaccec71d475c081fb50396f70dd0b164",
+          "url": "https://github.com/developmentseed/tipg/commit/76956abaca663aa2aba13a399f5490481cbdab84"
+        },
+        "date": 1701170846126,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 437.36004349553735,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011080690173811668",
+            "extra": "mean: 2.2864457210303066 msec\nrounds: 233"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 260.64512188771465,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002968330150865635",
+            "extra": "mean: 3.836634243363272 msec\nrounds: 226"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 422.1014153400645,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00043156897608188146",
+            "extra": "mean: 2.369098902912594 msec\nrounds: 103"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 258.7334447788722,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022471444347124187",
+            "extra": "mean: 3.864981586955853 msec\nrounds: 230"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 571.0508881605241,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00025662693373450403",
+            "extra": "mean: 1.7511574200001894 msec\nrounds: 350"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 540.8202516043875,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011101146281807812",
+            "extra": "mean: 1.8490431840032215 msec\nrounds: 125"
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+          {
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+            "value": 642.0685692060706,
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+            "extra": "mean: 1.5574660526312913 msec\nrounds: 399"
+          },
+          {
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 64.11648395558406,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016702066706758637",
+            "extra": "mean: 15.596613200011689 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 284.7909867052577,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00004575984558862273",
+            "extra": "mean: 3.511347081482402 msec\nrounds: 135"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 268.414174710928,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003285819872133372",
+            "extra": "mean: 3.725585659091821 msec\nrounds: 132"
+          }
+        ]
       }
     ]
   }

From d0a957a1e7e33ae3b9bb0a58c8f47442657e18a8 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 28 Nov 2023 11:36:53 +0000
Subject: [PATCH 063/150] add TiPg Benchmarks (pytest) benchmark result for
 a575d7f4861ee29aed63da3fa303146c44e707ab

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 82205250..ef237588 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1701170846830,
+  "lastUpdate": 1701171413040,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -15788,6 +15788,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.725585659091821 msec\nrounds: 132"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "a575d7f4861ee29aed63da3fa303146c44e707ab",
+          "message": "Bump version: 0.5.1 → 0.5.2",
+          "timestamp": "2023-11-28T12:31:45+01:00",
+          "tree_id": "01ea782f867df0b738cb75f97cc026d1a0261d9e",
+          "url": "https://github.com/developmentseed/tipg/commit/a575d7f4861ee29aed63da3fa303146c44e707ab"
+        },
+        "date": 1701171412331,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 458.0449024274386,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010918640874740576",
+            "extra": "mean: 2.1831920728741556 msec\nrounds: 247"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 277.12070622952837,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010947682505751163",
+            "extra": "mean: 3.608535838428972 msec\nrounds: 229"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 446.3699662093272,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001250171685975216",
+            "extra": "mean: 2.240294096155756 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 265.874493002194,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016707792090581752",
+            "extra": "mean: 3.7611731336399687 msec\nrounds: 217"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 594.308273319994,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007278010358797539",
+            "extra": "mean: 1.6826284352625342 msec\nrounds: 363"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 572.0643596710179,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009182438270505807",
+            "extra": "mean: 1.7480550625021962 msec\nrounds: 128"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 655.5782203133098,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007303010484966523",
+            "extra": "mean: 1.5253709916142215 msec\nrounds: 477"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 200.55961959033866,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018735993136506846",
+            "extra": "mean: 4.986048547771437 msec\nrounds: 157"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 182.94820250484938,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001367093044571038",
+            "extra": "mean: 5.4660280139866 msec\nrounds: 143"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 110.2371941598387,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004384245703992375",
+            "extra": "mean: 9.071348446605485 msec\nrounds: 103"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 82.56282667007434,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020940021736277065",
+            "extra": "mean: 12.111988413333469 msec\nrounds: 75"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 46.718988730461945,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009302286803722656",
+            "extra": "mean: 21.404572897956907 msec\nrounds: 49"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 37.60045939668524,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012378894884455774",
+            "extra": "mean: 26.59541973809388 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 194.53521659196625,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022517091871336262",
+            "extra": "mean: 5.140457432432299 msec\nrounds: 148"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 143.37321354443745,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00031243240202121115",
+            "extra": "mean: 6.974803558337328 msec\nrounds: 120"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 80.97992615013335,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00047723860909878687",
+            "extra": "mean: 12.348739342464235 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 48.85082730626285,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001386674871887685",
+            "extra": "mean: 20.47048238775265 msec\nrounds: 49"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 28.294564473959205,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0031514065088821272",
+            "extra": "mean: 35.34247720689768 msec\nrounds: 29"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 24.473946518680194,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0024308490863622642",
+            "extra": "mean: 40.859777119997034 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 193.78952131830897,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017057117079702992",
+            "extra": "mean: 5.160237732139551 msec\nrounds: 56"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 151.05860670242495,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00039880752340590026",
+            "extra": "mean: 6.619947196851426 msec\nrounds: 127"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 69.53872834919254,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01029585023027358",
+            "extra": "mean: 14.38047579729162 msec\nrounds: 74"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 43.190919494094324,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01763297255638058",
+            "extra": "mean: 23.15301483999974 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 25.800014915228143,
+            "unit": "iter/sec",
+            "range": "stddev: 0.025381373271567163",
+            "extra": "mean: 38.759667515144045 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 21.27914380896533,
+            "unit": "iter/sec",
+            "range": "stddev: 0.025864003327739863",
+            "extra": "mean: 46.99437199999936 msec\nrounds: 29"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.7761819559002903,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02511816561376896",
+            "extra": "mean: 360.20693740000524 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 58.66444635704361,
+            "unit": "iter/sec",
+            "range": "stddev: 0.016442221537231867",
+            "extra": "mean: 17.04609967532633 msec\nrounds: 77"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 1.0938432776905906,
+            "unit": "iter/sec",
+            "range": "stddev: 0.05387222248069638",
+            "extra": "mean: 914.2077484000083 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 23.146352225708732,
+            "unit": "iter/sec",
+            "range": "stddev: 0.028758614854600326",
+            "extra": "mean: 43.203351882345274 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 12.274425726216633,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005435479451426277",
+            "extra": "mean: 81.47020661537961 msec\nrounds: 13"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.599705874867952,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007177347862071177",
+            "extra": "mean: 151.52190400000336 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 224.52168736658487,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00026495069841626136",
+            "extra": "mean: 4.45391272321619 msec\nrounds: 112"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 159.8986367654484,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00026312300611504503",
+            "extra": "mean: 6.253962011363967 msec\nrounds: 88"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 293.97201901668944,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013997175378123008",
+            "extra": "mean: 3.4016842941206176 msec\nrounds: 119"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 285.1357497218763,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011184787339643658",
+            "extra": "mean: 3.5071014454532894 msec\nrounds: 110"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 596.9966162249265,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0037606408661245293",
+            "extra": "mean: 1.6750513701793524 msec\nrounds: 389"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 931.7453152208391,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000052139424769584425",
+            "extra": "mean: 1.0732546583966278 msec\nrounds: 524"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 914.4357725391797,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005602300514662616",
+            "extra": "mean: 1.0935705164106035 msec\nrounds: 579"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 60.154392263204635,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00023908781755158505",
+            "extra": "mean: 16.623889999993935 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 273.12115536697524,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018164309509855479",
+            "extra": "mean: 3.661378770371576 msec\nrounds: 135"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 267.32651452053614,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022040136568244231",
+            "extra": "mean: 3.740743793385222 msec\nrounds: 121"
+          }
+        ]
       }
     ]
   }

From 3041bf8cca21f025fe470df9319341fdf9747855 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 29 Nov 2023 09:57:53 +0000
Subject: [PATCH 064/150] add TiPg Benchmarks (pytest) benchmark result for
 02d9211af4b4f128ca5b802c8938d262bd8696cd

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index ef237588..29250856 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1701171413040,
+  "lastUpdate": 1701251873822,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -16099,6 +16099,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.740743793385222 msec\nrounds: 121"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "02d9211af4b4f128ca5b802c8938d262bd8696cd",
+          "message": "Merge pull request #145 from developmentseed/patch/allow-postgres-date-type\n\npatch: allow postgres date type",
+          "timestamp": "2023-11-29T10:53:10+01:00",
+          "tree_id": "8558710b896f8291847acb3ec6ceba41374b1951",
+          "url": "https://github.com/developmentseed/tipg/commit/02d9211af4b4f128ca5b802c8938d262bd8696cd"
+        },
+        "date": 1701251872615,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 446.3991717999409,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000658446374091126",
+            "extra": "mean: 2.240147525291919 msec\nrounds: 257"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 267.10819936339084,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011493977620021064",
+            "extra": "mean: 3.7438012100839213 msec\nrounds: 238"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 448.9423983335552,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010301589694702737",
+            "extra": "mean: 2.227457249998963 msec\nrounds: 100"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 257.9047957857,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001716352175930695",
+            "extra": "mean: 3.877399786047122 msec\nrounds: 215"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 589.6936531025995,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012579375758035023",
+            "extra": "mean: 1.6957957657143246 msec\nrounds: 350"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 531.9354048015432,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001283854640178445",
+            "extra": "mean: 1.879927508064789 msec\nrounds: 124"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 698.7443636186025,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005283370889611801",
+            "extra": "mean: 1.4311385566264585 msec\nrounds: 415"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 214.98133975640405,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008306385648232228",
+            "extra": "mean: 4.651566508670486 msec\nrounds: 173"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 169.70517276815312,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0038483651358327134",
+            "extra": "mean: 5.89257229870167 msec\nrounds: 154"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 115.90002175266146,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008630963316737728",
+            "extra": "mean: 8.628126076922298 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 81.26510845343645,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005014543007347321",
+            "extra": "mean: 12.305404115383457 msec\nrounds: 78"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 48.84570711721997,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009082446244322475",
+            "extra": "mean: 20.472628179999504 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 41.49833095145368,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00978351862787873",
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+          },
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+          },
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+          },
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+          },
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+            "value": 160.90484311599081,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001231878157313325",
+            "extra": "mean: 6.214853329673453 msec\nrounds: 91"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 311.40560158471027,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010980293138498397",
+            "extra": "mean: 3.2112460241919396 msec\nrounds: 124"
+          },
+          {
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+            "value": 275.0767559695683,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010854497337897819",
+            "extra": "mean: 3.6353489646018287 msec\nrounds: 113"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 665.4710104453665,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008743959964225335",
+            "extra": "mean: 1.5026950600458915 msec\nrounds: 433"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 824.4788401635739,
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+            "extra": "mean: 1.2128874038800115 msec\nrounds: 567"
+          },
+          {
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+            "value": 861.1365624807787,
+            "unit": "iter/sec",
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+            "extra": "mean: 1.1612559999997918 msec\nrounds: 569"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 63.703568236858516,
+            "unit": "iter/sec",
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+            "extra": "mean: 15.697707800006809 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 284.5473303140062,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009076759014144651",
+            "extra": "mean: 3.5143538296299286 msec\nrounds: 135"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 277.9992071162712,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005916234714721183",
+            "extra": "mean: 3.597132561539131 msec\nrounds: 130"
+          }
+        ]
       }
     ]
   }

From a4ef092172aaf5ede01e35b702ecdf7533048cd0 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 29 Nov 2023 10:00:07 +0000
Subject: [PATCH 065/150] add TiPg Benchmarks (pytest) benchmark result for
 2ac83aeef52b7ab83b4eb05121fd273d554e3076

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 29250856..4a117468 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1701251873822,
+  "lastUpdate": 1701252007223,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -16410,6 +16410,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.597132561539131 msec\nrounds: 130"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "2ac83aeef52b7ab83b4eb05121fd273d554e3076",
+          "message": "Bump version: 0.5.2 → 0.5.3",
+          "timestamp": "2023-11-29T10:55:09+01:00",
+          "tree_id": "9f083fb4cbafa9ff6993c80a00262f23fa214250",
+          "url": "https://github.com/developmentseed/tipg/commit/2ac83aeef52b7ab83b4eb05121fd273d554e3076"
+        },
+        "date": 1701252006243,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 430.77723381953564,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001427593880386329",
+            "extra": "mean: 2.3213854435467387 msec\nrounds: 248"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 267.0781182280883,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011684257650308938",
+            "extra": "mean: 3.7442228761923007 msec\nrounds: 210"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 436.6146856412463,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010664094910025677",
+            "extra": "mean: 2.2903489802028125 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 253.17379360432074,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00028028081505039777",
+            "extra": "mean: 3.949855890546381 msec\nrounds: 201"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 593.5697842107745,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010272167058116522",
+            "extra": "mean: 1.6847218753387614 msec\nrounds: 369"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 535.9743784212369,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012271321393513774",
+            "extra": "mean: 1.8657608278694109 msec\nrounds: 122"
+          },
+          {
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+            "value": 636.6612828140617,
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+            "extra": "mean: 1.5706939105515736 msec\nrounds: 436"
+          },
+          {
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+            "value": 196.36327058301163,
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+            "extra": "mean: 5.092602078947626 msec\nrounds: 152"
+          },
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+            "value": 667.6300562933377,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008122325098724689",
+            "extra": "mean: 1.4978355012234925 msec\nrounds: 409"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 850.4544667293693,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008835299549306776",
+            "extra": "mean: 1.1758419046768542 msec\nrounds: 556"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 842.7682153341113,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000872608054334348",
+            "extra": "mean: 1.1865658692450272 msec\nrounds: 543"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 62.480162548426755,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000153683299068508",
+            "extra": "mean: 16.005079999990812 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 274.69637461216803,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011565149407513787",
+            "extra": "mean: 3.6403829552241334 msec\nrounds: 134"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 267.31162665496504,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006958704097959902",
+            "extra": "mean: 3.740952133334474 msec\nrounds: 120"
+          }
+        ]
       }
     ]
   }

From f75b022c7cf261eb30072c5de6f08a21192a4398 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 12 Dec 2023 15:09:37 +0000
Subject: [PATCH 066/150] add TiPg Benchmarks (pytest) benchmark result for
 c856a09ebc00dc85f60c43c50117fb28057991ac

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 4a117468..aea1d8d0 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1701252007223,
+  "lastUpdate": 1702393777524,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -16721,6 +16721,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.740952133334474 msec\nrounds: 120"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "bitner@dbspatial.com",
+            "name": "David Bitner",
+            "username": "bitner"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "c856a09ebc00dc85f60c43c50117fb28057991ac",
+          "message": "Merge pull request #147 from developmentseed/sampledataloads\n\nUse multi-values inserts rather than separate inserts for data loads.",
+          "timestamp": "2023-12-12T09:04:22-06:00",
+          "tree_id": "260cd9620875e447c65b6ae607e9c638530c52ab",
+          "url": "https://github.com/developmentseed/tipg/commit/c856a09ebc00dc85f60c43c50117fb28057991ac"
+        },
+        "date": 1702393777040,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 451.11688247223907,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007835506907661326",
+            "extra": "mean: 2.2167204085108434 msec\nrounds: 235"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 275.44669214548856,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011639042005491921",
+            "extra": "mean: 3.6304665422222926 msec\nrounds: 225"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 442.1058997535948,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010770005572863974",
+            "extra": "mean: 2.261901504950158 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 268.2110281298112,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017794437928591157",
+            "extra": "mean: 3.7284074669592293 msec\nrounds: 227"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 626.4460787395608,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007028967264159233",
+            "extra": "mean: 1.5963065839793387 msec\nrounds: 387"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 548.7506565041868,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012060080945292356",
+            "extra": "mean: 1.8223212822568535 msec\nrounds: 124"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 643.3176028042922,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009567950856429384",
+            "extra": "mean: 1.554442153674779 msec\nrounds: 449"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 195.41325373316582,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018549718488123523",
+            "extra": "mean: 5.1173601631212104 msec\nrounds: 141"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 169.2214728702105,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00027975517270805106",
+            "extra": "mean: 5.909415531248685 msec\nrounds: 128"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 102.69938761156509,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006393220692589393",
+            "extra": "mean: 9.737156406250946 msec\nrounds: 96"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 76.69784369198476,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002772779190627118",
+            "extra": "mean: 13.038176197181723 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 42.90359395289442,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011862036977029968",
+            "extra": "mean: 23.30807067347179 msec\nrounds: 49"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 36.413191307406294,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01397618294534741",
+            "extra": "mean: 27.462575075000473 msec\nrounds: 40"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 181.54216719681364,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00024532656019549424",
+            "extra": "mean: 5.508362136692349 msec\nrounds: 139"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 143.90328028706244,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00034905067405616305",
+            "extra": "mean: 6.949111917429338 msec\nrounds: 109"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 72.96999977102881,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007906472472036013",
+            "extra": "mean: 13.704262068492273 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 47.56216822025003,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001538579660852751",
+            "extra": "mean: 21.025113812499423 msec\nrounds: 48"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 28.86952130860312,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000931789422439416",
+            "extra": "mean: 34.63860690000426 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 21.971374859679273,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003934791723374337",
+            "extra": "mean: 45.51376535999793 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 189.27540527302082,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002356347229254411",
+            "extra": "mean: 5.2833066111127716 msec\nrounds: 54"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 137.64554285113752,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004860800987251103",
+            "extra": "mean: 7.265037278261102 msec\nrounds: 115"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 71.29720816861021,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01238411808906792",
+            "extra": "mean: 14.0257946374998 msec\nrounds: 80"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 46.0070617416865,
+            "unit": "iter/sec",
+            "range": "stddev: 0.016306430225711356",
+            "extra": "mean: 21.7357936399992 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 26.39074034698652,
+            "unit": "iter/sec",
+            "range": "stddev: 0.024291132342821584",
+            "extra": "mean: 37.89207831428598 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 20.907364614211506,
+            "unit": "iter/sec",
+            "range": "stddev: 0.029563699110600732",
+            "extra": "mean: 47.83003589655021 msec\nrounds: 29"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.4276305325236276,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011260204286383147",
+            "extra": "mean: 411.92429679999805 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 56.18857748058414,
+            "unit": "iter/sec",
+            "range": "stddev: 0.018337467236737393",
+            "extra": "mean: 17.79721154794403 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 1.0894067011404691,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04277193750756119",
+            "extra": "mean: 917.9308323999919 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 21.628339012947862,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03329531910802866",
+            "extra": "mean: 46.2356355428564 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 11.898910926951489,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0018371403099538442",
+            "extra": "mean: 84.04130480000163 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.929693997256209,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0077624856622357415",
+            "extra": "mean: 144.3065163333254 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 244.9958830553431,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001963127270453062",
+            "extra": "mean: 4.081701241380068 msec\nrounds: 116"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 167.28739926307236,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001273650909482363",
+            "extra": "mean: 5.977736544444825 msec\nrounds: 90"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 306.3714255645521,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017054464944322865",
+            "extra": "mean: 3.264011968992523 msec\nrounds: 129"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 275.3000723894217,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008230694429310651",
+            "extra": "mean: 3.6324000619421004 msec\nrounds: 113"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 632.4768830575055,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00004675281467188926",
+            "extra": "mean: 1.5810854543265243 msec\nrounds: 416"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 933.2791353495787,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006539062535279966",
+            "extra": "mean: 1.0714907921148686 msec\nrounds: 558"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 916.3387523507879,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006169460544311746",
+            "extra": "mean: 1.0912994756956271 msec\nrounds: 576"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 63.5496713700608,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019330962016710212",
+            "extra": "mean: 15.735722599993098 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 283.78729486198796,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005679182113578549",
+            "extra": "mean: 3.5237659264708174 msec\nrounds: 136"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 266.31264243088134,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00040013720638054856",
+            "extra": "mean: 3.754985083967764 msec\nrounds: 131"
+          }
+        ]
       }
     ]
   }

From 41076d7db56cd41b445e3b5e4974f76c74ada22c Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 19 Dec 2023 12:02:45 +0000
Subject: [PATCH 067/150] add TiPg Benchmarks (pytest) benchmark result for
 15996fb1e6aa79ffa8ccdd604d01256644a7cff9

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index aea1d8d0..aaf52c49 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1702393777524,
+  "lastUpdate": 1702987365703,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -17032,6 +17032,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.754985083967764 msec\nrounds: 131"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "15996fb1e6aa79ffa8ccdd604d01256644a7cff9",
+          "message": "Merge pull request #148 from RemcoMeeuwissen/fix-decimal-error-again\n\nFix decimal error again",
+          "timestamp": "2023-12-19T12:58:08+01:00",
+          "tree_id": "54821fc7c3aa4a1d13ba4267f6f6fc87b36acb88",
+          "url": "https://github.com/developmentseed/tipg/commit/15996fb1e6aa79ffa8ccdd604d01256644a7cff9"
+        },
+        "date": 1702987365172,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 435.9514360341827,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000060307302868804564",
+            "extra": "mean: 2.2938334808503544 msec\nrounds: 235"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 281.5024580702409,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011974779744722718",
+            "extra": "mean: 3.5523668491394793 msec\nrounds: 232"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 446.08590451185785,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010601229778811884",
+            "extra": "mean: 2.2417206862751655 msec\nrounds: 102"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 256.91665460963566,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013882731625021366",
+            "extra": "mean: 3.892312865117367 msec\nrounds: 215"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 586.0992672724752,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007551769667415097",
+            "extra": "mean: 1.7061956153838764 msec\nrounds: 364"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 579.6656051034835,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011936382580926132",
+            "extra": "mean: 1.7251325439974607 msec\nrounds: 125"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 629.7244585524945,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00024112502770289826",
+            "extra": "mean: 1.587996125001454 msec\nrounds: 424"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 198.49257222754395,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009084999890844366",
+            "extra": "mean: 5.037971893747439 msec\nrounds: 160"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 189.46687816128255,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011719896272829972",
+            "extra": "mean: 5.277967366669524 msec\nrounds: 150"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 110.13470645176149,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004546654623199202",
+            "extra": "mean: 9.079789942855076 msec\nrounds: 105"
+          },
+          {
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+          },
+          {
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+            "unit": "iter/sec",
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+            "extra": "mean: 3.1642012755917777 msec\nrounds: 127"
+          },
+          {
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+            "unit": "iter/sec",
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+            "extra": "mean: 3.471180280703385 msec\nrounds: 114"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 697.5262663682869,
+            "unit": "iter/sec",
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+            "extra": "mean: 1.4336377685195443 msec\nrounds: 432"
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+          {
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+            "value": 857.8695073505762,
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
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+            "unit": "iter/sec",
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+            "extra": "mean: 15.994319999992967 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 281.37211589805355,
+            "unit": "iter/sec",
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+            "extra": "mean: 3.55401243939296 msec\nrounds: 132"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 273.0739501552143,
+            "unit": "iter/sec",
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+            "extra": "mean: 3.6620116984121096 msec\nrounds: 126"
+          }
+        ]
       }
     ]
   }

From 84fd4c24f85f559f9f3692a175770b895c6f29c6 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 19 Dec 2023 12:09:38 +0000
Subject: [PATCH 068/150] add TiPg Benchmarks (pytest) benchmark result for
 bebcd766833529c14e933e923e10cfd311e9e5d8

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index aaf52c49..84f5e5bd 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1702987365703,
+  "lastUpdate": 1702987778147,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -17343,6 +17343,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.6620116984121096 msec\nrounds: 126"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "bebcd766833529c14e933e923e10cfd311e9e5d8",
+          "message": "update changelog and add tests",
+          "timestamp": "2023-12-19T13:04:37+01:00",
+          "tree_id": "b0140daa540321a2a2d189ad1981cc125e37934b",
+          "url": "https://github.com/developmentseed/tipg/commit/bebcd766833529c14e933e923e10cfd311e9e5d8"
+        },
+        "date": 1702987777485,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 450.57793771032283,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005389416332686623",
+            "extra": "mean: 2.2193718695629996 msec\nrounds: 230"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 271.8001673636887,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008763869318132923",
+            "extra": "mean: 3.6791735991167593 msec\nrounds: 227"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 465.21132282568055,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010029409940509132",
+            "extra": "mean: 2.1495607499964273 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 263.08163734042245,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015349235579792392",
+            "extra": "mean: 3.8011014759879256 msec\nrounds: 229"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 607.4123338105962,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011339485148012151",
+            "extra": "mean: 1.6463281108016168 msec\nrounds: 361"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 573.616994525261,
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+            "extra": "mean: 1.7433235234385336 msec\nrounds: 128"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
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+            "range": "stddev: 0.00007240846893013688",
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+          {
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 295.9808349427319,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016246986369450436",
+            "extra": "mean: 3.37859713178215 msec\nrounds: 129"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 268.77410018133793,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012847775844592244",
+            "extra": "mean: 3.7205965877118166 msec\nrounds: 114"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 653.1012394470268,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000077329162224221",
+            "extra": "mean: 1.5311561816154082 msec\nrounds: 446"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 885.5913939726863,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000936015339646252",
+            "extra": "mean: 1.1291889316065804 msec\nrounds: 541"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 879.7679817043255,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007658487612870918",
+            "extra": "mean: 1.1366633257813676 msec\nrounds: 574"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 63.67330237135339,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00024351897433529798",
+            "extra": "mean: 15.705169400007435 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 282.73079331025355,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009328283469893937",
+            "extra": "mean: 3.536933449278211 msec\nrounds: 138"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 276.8286160785777,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013119248626011887",
+            "extra": "mean: 3.6123433124997106 msec\nrounds: 128"
+          }
+        ]
       }
     ]
   }

From 3cb491087639b9cddce1cf49442f467fcff0e6e6 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 19 Dec 2023 12:39:14 +0000
Subject: [PATCH 069/150] add TiPg Benchmarks (pytest) benchmark result for
 d6de9427d3730e39c1509bd55f35da2a9bc5d503

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 84f5e5bd..4c38163e 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1702987778147,
+  "lastUpdate": 1702989554382,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -17654,6 +17654,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.6123433124997106 msec\nrounds: 128"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "d6de9427d3730e39c1509bd55f35da2a9bc5d503",
+          "message": "Bump version: 0.5.3 → 0.5.4",
+          "timestamp": "2023-12-19T13:34:11+01:00",
+          "tree_id": "3d47a3fe5a70d5942a6160934366729f3626178b",
+          "url": "https://github.com/developmentseed/tipg/commit/d6de9427d3730e39c1509bd55f35da2a9bc5d503"
+        },
+        "date": 1702989553912,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 448.381255156945,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006189201160086474",
+            "extra": "mean: 2.2302448831184396 msec\nrounds: 231"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 275.8609358900038,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001292037593324201",
+            "extra": "mean: 3.6250148893815757 msec\nrounds: 226"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 469.4641309112052,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001011082928119619",
+            "extra": "mean: 2.1300881881200433 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 257.88610825062904,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017600229656144603",
+            "extra": "mean: 3.8776807590897473 msec\nrounds: 220"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 590.1985868995624,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008798984738607133",
+            "extra": "mean: 1.694344958115218 msec\nrounds: 382"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 536.2683917810401,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011223451287555874",
+            "extra": "mean: 1.8647379098343406 msec\nrounds: 122"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 664.1315290356523,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008162629749095427",
+            "extra": "mean: 1.5057258333331098 msec\nrounds: 456"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 203.87600774045288,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018041077116782644",
+            "extra": "mean: 4.904942033557297 msec\nrounds: 149"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 178.59859145677876,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003425055636174522",
+            "extra": "mean: 5.599148301469119 msec\nrounds: 136"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 107.5684794487823,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004169085285514552",
+            "extra": "mean: 9.296403603772614 msec\nrounds: 106"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 75.24950943711448,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005601890416633826",
+            "extra": "mean: 13.289123178081226 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 45.16969802949286,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010590363241937078",
+            "extra": "mean: 22.1387355600001 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 36.36752492521119,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01607686515017683",
+            "extra": "mean: 27.49705958974311 msec\nrounds: 39"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 197.74181840224293,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015093122572602076",
+            "extra": "mean: 5.057099242234223 msec\nrounds: 161"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 156.2651636974489,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015695523986780568",
+            "extra": "mean: 6.399378955223438 msec\nrounds: 134"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 81.09822892895684,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006366935860006128",
+            "extra": "mean: 12.330725506669372 msec\nrounds: 75"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 51.51409294737248,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012041571468342552",
+            "extra": "mean: 19.412163599999985 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 28.270412888391174,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002643141261877912",
+            "extra": "mean: 35.372670499999494 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 24.282392011853762,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002318084724812471",
+            "extra": "mean: 41.182104279999976 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 188.85079890367803,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004489582472762821",
+            "extra": "mean: 5.295185436361552 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 162.12253771396388,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022903373213155575",
+            "extra": "mean: 6.168173864662299 msec\nrounds: 133"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 81.68261010111699,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008748675347616936",
+            "extra": "mean: 12.2425079066655 msec\nrounds: 75"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 51.24290753539405,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013336326503765986",
+            "extra": "mean: 19.514895779660606 msec\nrounds: 59"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 26.873647860803878,
+            "unit": "iter/sec",
+            "range": "stddev: 0.022528902680037217",
+            "extra": "mean: 37.211174500002805 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 20.94446246948118,
+            "unit": "iter/sec",
+            "range": "stddev: 0.028254221542735363",
+            "extra": "mean: 47.74531700000087 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.6549909637090745,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03079215116682007",
+            "extra": "mean: 376.64911619999657 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 55.02187013223749,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01779668625882716",
+            "extra": "mean: 18.174591259741582 msec\nrounds: 77"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 1.094902289060576,
+            "unit": "iter/sec",
+            "range": "stddev: 0.05032421013045681",
+            "extra": "mean: 913.3235084000034 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 22.32064660145366,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03125321230452936",
+            "extra": "mean: 44.80156950000157 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 11.639589958010887,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001423181797534141",
+            "extra": "mean: 85.91367939999941 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.960933913976976,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006101430776029598",
+            "extra": "mean: 143.65888433333396 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 232.00680954658094,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007146133749439475",
+            "extra": "mean: 4.310218316239661 msec\nrounds: 117"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 159.91914836775177,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016213919880329392",
+            "extra": "mean: 6.253159863635524 msec\nrounds: 88"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 289.34083632378986,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013165999856959852",
+            "extra": "mean: 3.456131573771148 msec\nrounds: 122"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 274.00447761332157,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014350356013603848",
+            "extra": "mean: 3.6495753963963025 msec\nrounds: 111"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 680.4858924694886,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008155911992416966",
+            "extra": "mean: 1.4695381800950968 msec\nrounds: 422"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 920.5844251781244,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00004950509297416674",
+            "extra": "mean: 1.0862664766531427 msec\nrounds: 514"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 888.8907807996924,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006783613890751587",
+            "extra": "mean: 1.1249976055554856 msec\nrounds: 540"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 62.63412628388936,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010465219628030016",
+            "extra": "mean: 15.965737199996964 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 278.1564385477504,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012052492929647832",
+            "extra": "mean: 3.595099237037192 msec\nrounds: 135"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 272.1217448892775,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010121905725310984",
+            "extra": "mean: 3.674825767440547 msec\nrounds: 129"
+          }
+        ]
       }
     ]
   }

From ac9eb7c07d94effb952463f5e587ad0b849cfaa0 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 19 Dec 2023 14:38:27 +0000
Subject: [PATCH 070/150] add TiPg Benchmarks (pytest) benchmark result for
 50510a519d9ea11b46a72ca9e8a905cf14dc9c66

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 4c38163e..59ce5916 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1702989554382,
+  "lastUpdate": 1702996706990,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -17965,6 +17965,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.674825767440547 msec\nrounds: 129"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "50510a519d9ea11b46a72ca9e8a905cf14dc9c66",
+          "message": "Merge pull request #151 from developmentseed/patch/fix-previous-offset\n\nfix `prev` offset",
+          "timestamp": "2023-12-19T15:33:39+01:00",
+          "tree_id": "d09fb4abdaef87324df80202e9b1ec1bc35c1610",
+          "url": "https://github.com/developmentseed/tipg/commit/50510a519d9ea11b46a72ca9e8a905cf14dc9c66"
+        },
+        "date": 1702996706324,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 454.8740650794464,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013392195980666707",
+            "extra": "mean: 2.198410674007858 msec\nrounds: 227"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 270.15218148696766,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011638427309111239",
+            "extra": "mean: 3.70161734210627 msec\nrounds: 228"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 448.3771444358895,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011768717486711481",
+            "extra": "mean: 2.2302653300005204 msec\nrounds: 100"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 260.27983343450126,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018354142531389512",
+            "extra": "mean: 3.8420187488388238 msec\nrounds: 215"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 602.0073680441092,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009676350217460578",
+            "extra": "mean: 1.6611092373320087 msec\nrounds: 375"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 572.6899437565787,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012371941960607192",
+            "extra": "mean: 1.7461455555522185 msec\nrounds: 126"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 684.4599526296502,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000800180266394917",
+            "extra": "mean: 1.4610058574764901 msec\nrounds: 428"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 193.3401440449373,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00045529310864208633",
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+            "range": "stddev: 0.0003734849943792084",
+            "extra": "mean: 6.438801942529519 msec\nrounds: 87"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 307.9801133609369,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000132814312942687",
+            "extra": "mean: 3.246962893438679 msec\nrounds: 122"
+          },
+          {
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+            "value": 271.6878370269062,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016101990600884012",
+            "extra": "mean: 3.6806947669908623 msec\nrounds: 103"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 622.8281630959932,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000054198668498485096",
+            "extra": "mean: 1.6055792901675117 msec\nrounds: 417"
+          },
+          {
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+            "extra": "mean: 1.118892440312788 msec\nrounds: 511"
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+          {
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 59.529148012700084,
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+            "extra": "mean: 16.798493400017378 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 278.9741293153517,
+            "unit": "iter/sec",
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+            "extra": "mean: 3.584561774434655 msec\nrounds: 133"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 269.1159626658673,
+            "unit": "iter/sec",
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+            "extra": "mean: 3.7158702519686417 msec\nrounds: 127"
+          }
+        ]
       }
     ]
   }

From 8eb8001affa452c9b8e34088fe6efd79f1d9de66 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 19 Dec 2023 14:39:15 +0000
Subject: [PATCH 071/150] add TiPg Benchmarks (pytest) benchmark result for
 5a0ce8d7b57ba53c603911fcad27e29d1da91e3c

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 59ce5916..0e51f8f7 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1702996706990,
+  "lastUpdate": 1702996755829,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -18276,6 +18276,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.7158702519686417 msec\nrounds: 127"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "5a0ce8d7b57ba53c603911fcad27e29d1da91e3c",
+          "message": "Bump version: 0.5.4 → 0.5.5",
+          "timestamp": "2023-12-19T15:34:15+01:00",
+          "tree_id": "6aec88f2165aa7874698986f95f0255cfab2c147",
+          "url": "https://github.com/developmentseed/tipg/commit/5a0ce8d7b57ba53c603911fcad27e29d1da91e3c"
+        },
+        "date": 1702996755311,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 461.19216783708174,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019566907008920474",
+            "extra": "mean: 2.168293543860126 msec\nrounds: 228"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 272.46856791350757,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001617086436959529",
+            "extra": "mean: 3.670148111606914 msec\nrounds: 224"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 465.77727955518577,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001194451722197608",
+            "extra": "mean: 2.1469488613849808 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 259.6997762070313,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013534528489826382",
+            "extra": "mean: 3.8506001607132894 msec\nrounds: 224"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 607.8810250661014,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008253073546351113",
+            "extra": "mean: 1.6450587512437311 msec\nrounds: 402"
+          },
+          {
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+            "value": 567.2659174655821,
+            "unit": "iter/sec",
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+            "extra": "mean: 1.7628416747965001 msec\nrounds: 123"
+          },
+          {
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+            "unit": "iter/sec",
+            "range": "stddev: 0.00008327758276950822",
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+            "unit": "iter/sec",
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+            "extra": "mean: 142.9895561999956 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 236.24593961603944,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015811394630101946",
+            "extra": "mean: 4.232876982458441 msec\nrounds: 114"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 159.3836838531965,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001991800482098814",
+            "extra": "mean: 6.274167943822091 msec\nrounds: 89"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 294.9162883190496,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012843660769653112",
+            "extra": "mean: 3.3907927083300633 msec\nrounds: 120"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 276.8693693767248,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009781436527446308",
+            "extra": "mean: 3.611811600001664 msec\nrounds: 110"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 660.0530739806305,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009166906991956769",
+            "extra": "mean: 1.5150296838544006 msec\nrounds: 446"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 934.0642008997912,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007337003019961184",
+            "extra": "mean: 1.0705902217820704 msec\nrounds: 505"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 869.9393443454672,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007685330309777259",
+            "extra": "mean: 1.1495054298899297 msec\nrounds: 542"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 63.71827916099476,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000968697030111492",
+            "extra": "mean: 15.694083599987605 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 280.26546037665736,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012821032643148058",
+            "extra": "mean: 3.5680458043458843 msec\nrounds: 138"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 275.4448207676516,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006115808547552726",
+            "extra": "mean: 3.6304912076874327 msec\nrounds: 130"
+          }
+        ]
       }
     ]
   }

From 8d45b1e54dc57eb77cce74f9e999ee9fe28aa0c0 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 19 Dec 2023 15:28:22 +0000
Subject: [PATCH 072/150] add TiPg Benchmarks (pytest) benchmark result for
 1af49b832bc175ff65ee9f37e9d8b43e34071c4c

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 0e51f8f7..431602f6 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1702996755829,
+  "lastUpdate": 1702999702587,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -18587,6 +18587,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.6304912076874327 msec\nrounds: 130"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "1af49b832bc175ff65ee9f37e9d8b43e34071c4c",
+          "message": "Merge pull request #152 from developmentseed/patch/fix-collections-links\n\nfix collection prev and other links",
+          "timestamp": "2023-12-19T16:23:17+01:00",
+          "tree_id": "9e3743056e397eaad6763cd4931903478555ec46",
+          "url": "https://github.com/developmentseed/tipg/commit/1af49b832bc175ff65ee9f37e9d8b43e34071c4c"
+        },
+        "date": 1702999702064,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 438.3781107187066,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010022808354392291",
+            "extra": "mean: 2.2811357947606754 msec\nrounds: 229"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 271.84278811531254,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001341190156615377",
+            "extra": "mean: 3.6785967615069186 msec\nrounds: 239"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 440.3889299728711,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001150317414106409",
+            "extra": "mean: 2.2707201111108812 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 256.3697047121929,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000149304339585974",
+            "extra": "mean: 3.9006168888895245 msec\nrounds: 216"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 578.9919902582527,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006699215872083544",
+            "extra": "mean: 1.72713960957208 msec\nrounds: 397"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 540.8233632553587,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001024686535266022",
+            "extra": "mean: 1.8490325454520602 msec\nrounds: 121"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 646.0046936661757,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000969036819442816",
+            "extra": "mean: 1.547976368909716 msec\nrounds: 431"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 204.63358586127157,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022766650967054764",
+            "extra": "mean: 4.88678334883862 msec\nrounds: 172"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 186.11972465332983,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015370577030539523",
+            "extra": "mean: 5.3728856619717185 msec\nrounds: 142"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 109.17795080618775,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004865568549715969",
+            "extra": "mean: 9.159358575754878 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 78.27770582117118,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005154911848964912",
+            "extra": "mean: 12.775029486486783 msec\nrounds: 74"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 45.580603620822906,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011431358049695797",
+            "extra": "mean: 21.939156583331492 msec\nrounds: 48"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 40.113347895344184,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009703738229237374",
+            "extra": "mean: 24.929357744185364 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 189.34877696051774,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017450169398684615",
+            "extra": "mean: 5.281259356687136 msec\nrounds: 157"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 155.1752435523179,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017478728044053124",
+            "extra": "mean: 6.444326924241922 msec\nrounds: 132"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 80.20460837233475,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006632987500606764",
+            "extra": "mean: 12.468111499998713 msec\nrounds: 76"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 49.89104273485277,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015365547155632698",
+            "extra": "mean: 20.043678086956927 msec\nrounds: 46"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 27.206417676459004,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0033553790667516766",
+            "extra": "mean: 36.75603351724154 msec\nrounds: 29"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 22.125749121168745,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003875367815579798",
+            "extra": "mean: 45.196209833331835 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 198.73437566582118,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011682909096607083",
+            "extra": "mean: 5.031842109095082 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 146.3610880396871,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004289732861789284",
+            "extra": "mean: 6.832417095238054 msec\nrounds: 126"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 84.44963990987578,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006921329969704145",
+            "extra": "mean: 11.8413767195123 msec\nrounds: 82"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 49.34862698027124,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013617248523141756",
+            "extra": "mean: 20.263988305080574 msec\nrounds: 59"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 28.92263154124675,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01985896854793225",
+            "extra": "mean: 34.57500050000269 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 25.35048549947171,
+            "unit": "iter/sec",
+            "range": "stddev: 0.017949344794425386",
+            "extra": "mean: 39.44697627273606 msec\nrounds: 11"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.673412895070572,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02467315654943151",
+            "extra": "mean: 374.05370560001074 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 54.77920046364999,
+            "unit": "iter/sec",
+            "range": "stddev: 0.017990007768868107",
+            "extra": "mean: 18.255103972603123 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 1.072640929738929,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04295472291698244",
+            "extra": "mean: 932.2784282000043 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 23.24412561188976,
+            "unit": "iter/sec",
+            "range": "stddev: 0.029220693059918437",
+            "extra": "mean: 43.02162261111183 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 11.399820711599318,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007291220422414583",
+            "extra": "mean: 87.72067783333644 msec\nrounds: 12"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 7.009987044422565,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006542531955273575",
+            "extra": "mean: 142.6536159999955 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 232.10131757527247,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001989457684374641",
+            "extra": "mean: 4.308463262711515 msec\nrounds: 118"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 157.99706776875942,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002075197979774481",
+            "extra": "mean: 6.32923138462022 msec\nrounds: 91"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 294.0290005153306,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013873521583413026",
+            "extra": "mean: 3.4010250629949685 msec\nrounds: 127"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 276.0504087763381,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008968829698466265",
+            "extra": "mean: 3.6225267857155075 msec\nrounds: 112"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 652.1871848218268,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010432032423764179",
+            "extra": "mean: 1.5333021305427723 msec\nrounds: 406"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 882.8353180720925,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009000450015159412",
+            "extra": "mean: 1.1327140855485573 msec\nrounds: 526"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 893.9068078006121,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008036806971542424",
+            "extra": "mean: 1.1186848464219912 msec\nrounds: 573"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 63.120259116155815,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012667128267994019",
+            "extra": "mean: 15.842774000020654 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 277.58271550106923,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000050661631400848586",
+            "extra": "mean: 3.6025297835813848 msec\nrounds: 134"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 273.2739047701672,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008730316230975141",
+            "extra": "mean: 3.659332203127974 msec\nrounds: 128"
+          }
+        ]
       }
     ]
   }

From c65b77b1df55b36db608fce516c5d2de5b1346c8 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 19 Dec 2023 15:28:26 +0000
Subject: [PATCH 073/150] add TiPg Benchmarks (pytest) benchmark result for
 f3f44658c10f60e9a17d58c50f0efc115db8e4a4

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 431602f6..05d4c385 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1702999702587,
+  "lastUpdate": 1702999706496,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -18898,6 +18898,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.659332203127974 msec\nrounds: 128"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "f3f44658c10f60e9a17d58c50f0efc115db8e4a4",
+          "message": "Bump version: 0.5.5 → 0.5.6",
+          "timestamp": "2023-12-19T16:23:33+01:00",
+          "tree_id": "0eb286245c14af4bec894e536ba1b8e7bdb16860",
+          "url": "https://github.com/developmentseed/tipg/commit/f3f44658c10f60e9a17d58c50f0efc115db8e4a4"
+        },
+        "date": 1702999705785,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 453.076843099072,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000146167757296848",
+            "extra": "mean: 2.2071311196571908 msec\nrounds: 234"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 271.48144563891765,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011095684863748236",
+            "extra": "mean: 3.6834929829055216 msec\nrounds: 234"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 452.02752098281024,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009812245228554779",
+            "extra": "mean: 2.2122546826922695 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 258.6483409618977,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017399409898895718",
+            "extra": "mean: 3.866253293104684 msec\nrounds: 232"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 598.8860694878625,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012248302492041325",
+            "extra": "mean: 1.669766673409435 msec\nrounds: 346"
+          },
+          {
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+          {
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+          },
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+          },
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+            "value": 153.70535753893645,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003107974036536752",
+            "extra": "mean: 6.505954093022953 msec\nrounds: 86"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 282.57883974124667,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014936176136887337",
+            "extra": "mean: 3.538835395161525 msec\nrounds: 124"
+          },
+          {
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+            "value": 266.4543768723341,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001846495292179802",
+            "extra": "mean: 3.75298770370407 msec\nrounds: 108"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 651.5451447271652,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007857238346414117",
+            "extra": "mean: 1.5348130641334923 msec\nrounds: 421"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 867.2602465832503,
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+            "extra": "mean: 1.153056425611234 msec\nrounds: 531"
+          },
+          {
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+            "value": 880.6208018010674,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000864242853829198",
+            "extra": "mean: 1.1355625462795966 msec\nrounds: 551"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 63.00444508963752,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020324943989004802",
+            "extra": "mean: 15.871895999993058 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 281.37074969445047,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014431396314558005",
+            "extra": "mean: 3.554029696000498 msec\nrounds: 125"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 271.2025422592397,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018841563966646904",
+            "extra": "mean: 3.687281069231683 msec\nrounds: 130"
+          }
+        ]
       }
     ]
   }

From 4520cc76b9967b2221d65ca693d358ef79126fcd Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 20 Dec 2023 11:40:55 +0000
Subject: [PATCH 074/150] add TiPg Benchmarks (pytest) benchmark result for
 ba3f8f9712c33dac23ea6d68826c0d926ad373da

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 05d4c385..3da84e7c 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1702999706496,
+  "lastUpdate": 1703072455819,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -19209,6 +19209,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.687281069231683 msec\nrounds: 130"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "ba3f8f9712c33dac23ea6d68826c0d926ad373da",
+          "message": "Merge pull request #153 from developmentseed/patch/add-tags-to-routes\n\nPatch/add tags to routes",
+          "timestamp": "2023-12-20T12:36:14+01:00",
+          "tree_id": "a0e4fa1f22479aaa5f1422b7774c095601a7b7d6",
+          "url": "https://github.com/developmentseed/tipg/commit/ba3f8f9712c33dac23ea6d68826c0d926ad373da"
+        },
+        "date": 1703072455096,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 434.8171088002661,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013429135566748982",
+            "extra": "mean: 2.2998175089273025 msec\nrounds: 224"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 274.2317851872096,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010889040300010884",
+            "extra": "mean: 3.646550305309542 msec\nrounds: 226"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 441.5218610377404,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012109484335041894",
+            "extra": "mean: 2.2648935154640557 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 252.66544229859767,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019098685603749035",
+            "extra": "mean: 3.95780281981819 msec\nrounds: 222"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 582.7999022948969,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000803787091225241",
+            "extra": "mean: 1.7158547831979554 msec\nrounds: 369"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 551.8703200815893,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010707074822570552",
+            "extra": "mean: 1.8120198960004927 msec\nrounds: 125"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 648.1637262369737,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006574531733266419",
+            "extra": "mean: 1.5428200615385752 msec\nrounds: 455"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 197.90232251149274,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00031919996400652537",
+            "extra": "mean: 5.052997798658614 msec\nrounds: 149"
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+            "value": 20.728135207507012,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03605962997731149",
+            "extra": "mean: 48.243606575753844 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 11.56774044163483,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003349603339089933",
+            "extra": "mean: 86.44730619998882 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.76114485397551,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00595289132548328",
+            "extra": "mean: 147.9039455000001 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 234.73840052536084,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001613311586052938",
+            "extra": "mean: 4.260061403511017 msec\nrounds: 114"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 159.09991745106416,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001917579868512314",
+            "extra": "mean: 6.285358383718705 msec\nrounds: 86"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 278.1295090398801,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002018115987875137",
+            "extra": "mean: 3.5954473275851266 msec\nrounds: 116"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 270.3756657657498,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001466883419754468",
+            "extra": "mean: 3.698557698111738 msec\nrounds: 106"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 611.5831486704891,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007505791623274421",
+            "extra": "mean: 1.6351006435901383 msec\nrounds: 390"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 823.4626756253501,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000798212700277744",
+            "extra": "mean: 1.2143841240170172 msec\nrounds: 508"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 897.0915778651553,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000052433327486188704",
+            "extra": "mean: 1.114713396796947 msec\nrounds: 562"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 62.48068643881196,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00024122494047662302",
+            "extra": "mean: 16.004945800000314 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 275.79390781246303,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012282406281204222",
+            "extra": "mean: 3.6258959015149435 msec\nrounds: 132"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 271.04088613090767,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011916770052918126",
+            "extra": "mean: 3.689480263568127 msec\nrounds: 129"
+          }
+        ]
       }
     ]
   }

From 075b1c806eb70854187af0accc11ea98e0869473 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 20 Dec 2023 11:43:02 +0000
Subject: [PATCH 075/150] add TiPg Benchmarks (pytest) benchmark result for
 4426af78f3859f60f7250ec30189243d04d84ae2

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 3da84e7c..5df68f08 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1703072455819,
+  "lastUpdate": 1703072582047,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -19520,6 +19520,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.689480263568127 msec\nrounds: 129"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "4426af78f3859f60f7250ec30189243d04d84ae2",
+          "message": "keep query-parameters when changing page size",
+          "timestamp": "2023-12-20T12:38:35+01:00",
+          "tree_id": "e17cd9a09adb60ced8996b1e2b8b33a20491524f",
+          "url": "https://github.com/developmentseed/tipg/commit/4426af78f3859f60f7250ec30189243d04d84ae2"
+        },
+        "date": 1703072581574,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 472.35655077061824,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010963833984183657",
+            "extra": "mean: 2.11704484328325 msec\nrounds: 268"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 280.8320553185264,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010100884982189054",
+            "extra": "mean: 3.5608470652175956 msec\nrounds: 230"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 467.38873312370583,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010753942870710363",
+            "extra": "mean: 2.1395466538456875 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 270.8002965496589,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012948880088212985",
+            "extra": "mean: 3.6927581422224245 msec\nrounds: 225"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 636.8878778612118,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005493218728612823",
+            "extra": "mean: 1.5701350814811965 msec\nrounds: 405"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 567.6747128776229,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010809183776547942",
+            "extra": "mean: 1.7615722125984077 msec\nrounds: 127"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 650.2870957835594,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011738969649796803",
+            "extra": "mean: 1.5377823218144229 msec\nrounds: 463"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 207.24155835899163,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015952399017632975",
+            "extra": "mean: 4.825287012500468 msec\nrounds: 160"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 189.09223469290617,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000150501564563112",
+            "extra": "mean: 5.288424464516179 msec\nrounds: 155"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 113.53690763990386,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004283554620672561",
+            "extra": "mean: 8.807708619047665 msec\nrounds: 105"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 84.69053405788512,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022620346305139697",
+            "extra": "mean: 11.807695052631386 msec\nrounds: 76"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 48.15028294979098,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008470819746121717",
+            "extra": "mean: 20.768309940000904 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 40.09506790494962,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011099348645186599",
+            "extra": "mean: 24.940723441861355 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 191.67417794108127,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013868714993416835",
+            "extra": "mean: 5.217186846667421 msec\nrounds: 150"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 148.1310773299313,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00031999882405476897",
+            "extra": "mean: 6.75077787878844 msec\nrounds: 132"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 85.09239403053589,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000398925329906306",
+            "extra": "mean: 11.751931666667462 msec\nrounds: 81"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 49.88746210225603,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015230058889809084",
+            "extra": "mean: 20.04511670588225 msec\nrounds: 51"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 30.488344094160773,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002378753267140055",
+            "extra": "mean: 32.79941989999789 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 23.57104191503617,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003900941534574412",
+            "extra": "mean: 42.4249383461531 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 194.24398834026482,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019000994321683728",
+            "extra": "mean: 5.148164473683792 msec\nrounds: 57"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 160.13777534150785,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022430287121745165",
+            "extra": "mean: 6.24462278102348 msec\nrounds: 137"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 84.54917647226446,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0074969777331205184",
+            "extra": "mean: 11.827436312499628 msec\nrounds: 80"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 53.18036923139599,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011942270214883123",
+            "extra": "mean: 18.803931120689395 msec\nrounds: 58"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 32.28990901669839,
+            "unit": "iter/sec",
+            "range": "stddev: 0.015045477862115228",
+            "extra": "mean: 30.969427615384753 msec\nrounds: 13"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 24.327624405813022,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02136831486542796",
+            "extra": "mean: 41.10553432258074 msec\nrounds: 31"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.8829651393326223,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02268087667707208",
+            "extra": "mean: 346.86510299999327 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 59.97789229095474,
+            "unit": "iter/sec",
+            "range": "stddev: 0.015488309688408924",
+            "extra": "mean: 16.672809960526234 msec\nrounds: 76"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 1.1236699365045384,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04103894360364523",
+            "extra": "mean: 889.9410471999943 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 24.028618078936127,
+            "unit": "iter/sec",
+            "range": "stddev: 0.027523238408880216",
+            "extra": "mean: 41.61704167567655 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 12.357375015486884,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005619626036890185",
+            "extra": "mean: 80.92333515384536 msec\nrounds: 13"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 2.5752518225538297,
+            "unit": "iter/sec",
+            "range": "stddev: 0.6452432532422236",
+            "extra": "mean: 388.31153957142664 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 238.00074018225328,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016470297618285528",
+            "extra": "mean: 4.201667605042876 msec\nrounds: 119"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 167.75341414650183,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008035369869127841",
+            "extra": "mean: 5.961130538462148 msec\nrounds: 91"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 297.7459495186406,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013561816022067915",
+            "extra": "mean: 3.3585679389314214 msec\nrounds: 131"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 279.35049949760685,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010094846124988255",
+            "extra": "mean: 3.579732278261299 msec\nrounds: 115"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 678.2066514222762,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008190801714473045",
+            "extra": "mean: 1.4744768396223877 msec\nrounds: 424"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 831.3079575208096,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002236181599291386",
+            "extra": "mean: 1.202923646950616 msec\nrounds: 541"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 904.0286165494059,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000745137788501371",
+            "extra": "mean: 1.106159674255565 msec\nrounds: 571"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 63.67487223098711,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011603119979826963",
+            "extra": "mean: 15.70478219999245 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 280.34850006725395,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006727313306209008",
+            "extra": "mean: 3.5669889432620683 msec\nrounds: 141"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 277.04841902888785,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000045244614652030684",
+            "extra": "mean: 3.609477374046051 msec\nrounds: 131"
+          }
+        ]
       }
     ]
   }

From 63e33a54f2dcdba74ee2f894ab9fadbfe9970d89 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 8 Jan 2024 15:13:04 +0000
Subject: [PATCH 076/150] add TiPg Benchmarks (pytest) benchmark result for
 17139473b8a4f14f17a3dfe554b4e72fe2a884bb

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 5df68f08..74d81185 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1703072582047,
+  "lastUpdate": 1704726784294,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -19831,6 +19831,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.609477374046051 msec\nrounds: 131"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "17139473b8a4f14f17a3dfe554b4e72fe2a884bb",
+          "message": "Merge pull request #156 from developmentseed/patch/limit-fastapi-version\n\nlimit fastapi upper version to avoid starlette breaking change",
+          "timestamp": "2024-01-08T16:08:27+01:00",
+          "tree_id": "8799a8b1bfb2562227d3ee13884bbc50c322f9b9",
+          "url": "https://github.com/developmentseed/tipg/commit/17139473b8a4f14f17a3dfe554b4e72fe2a884bb"
+        },
+        "date": 1704726783786,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 456.9165891088676,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011613803441209755",
+            "extra": "mean: 2.1885832640708394 msec\nrounds: 231"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 271.6332061871341,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013860364484020784",
+            "extra": "mean: 3.6814350279070007 msec\nrounds: 215"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 453.2986709121772,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012246994780507222",
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+          },
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+            "extra": "mean: 22.766571528571994 msec\nrounds: 70"
+          },
+          {
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+          },
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+          },
+          {
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+          {
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+            "unit": "iter/sec",
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+            "extra": "mean: 4.2098637899160245 msec\nrounds: 119"
+          },
+          {
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+            "unit": "iter/sec",
+            "range": "stddev: 0.0075805731783408934",
+            "extra": "mean: 7.00908651723976 msec\nrounds: 87"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 294.69172595604584,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022445059126479175",
+            "extra": "mean: 3.3933765759991275 msec\nrounds: 125"
+          },
+          {
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+            "value": 271.08760848432183,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002471035721928198",
+            "extra": "mean: 3.6888443761450436 msec\nrounds: 109"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 663.9286637017412,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006660025706533609",
+            "extra": "mean: 1.5061859122401637 msec\nrounds: 433"
+          },
+          {
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+            "value": 806.832905313054,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000054911530802216956",
+            "extra": "mean: 1.2394140018520894 msec\nrounds: 540"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 836.556978754171,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009044536621161421",
+            "extra": "mean: 1.1953758385821296 msec\nrounds: 508"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 62.74256747153066,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016292408631165298",
+            "extra": "mean: 15.93814280000174 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 295.0741045848267,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016866349614210854",
+            "extra": "mean: 3.3889791901834747 msec\nrounds: 163"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 286.13712876733103,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002571524779656039",
+            "extra": "mean: 3.4948278271609348 msec\nrounds: 162"
+          }
+        ]
       }
     ]
   }

From 085c7ca452efe9810ee10efd405a4b61a12b3416 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 8 Jan 2024 16:08:03 +0000
Subject: [PATCH 077/150] add TiPg Benchmarks (pytest) benchmark result for
 2e03692a68b5391b87857e4cefe5b6fa2e71b277

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 74d81185..7431e005 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1704726784294,
+  "lastUpdate": 1704730083539,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -20142,6 +20142,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.4948278271609348 msec\nrounds: 162"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "2e03692a68b5391b87857e4cefe5b6fa2e71b277",
+          "message": "Bump version: 0.5.6 → 0.5.7",
+          "timestamp": "2024-01-08T16:59:28+01:00",
+          "tree_id": "e8a8c4395a9d0798f10be0fcb5ca81432b37cd51",
+          "url": "https://github.com/developmentseed/tipg/commit/2e03692a68b5391b87857e4cefe5b6fa2e71b277"
+        },
+        "date": 1704730082910,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 463.6035946305881,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010948434615355792",
+            "extra": "mean: 2.157015199152688 msec\nrounds: 236"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 279.60341444378423,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010741374053742219",
+            "extra": "mean: 3.5764942355561087 msec\nrounds: 225"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 443.44606799612865,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012428318516179558",
+            "extra": "mean: 2.2550656599997865 msec\nrounds: 100"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 262.75499426765583,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001797920666522053",
+            "extra": "mean: 3.805826803738498 msec\nrounds: 214"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 585.1329742299298,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008762803526156364",
+            "extra": "mean: 1.7090132397957238 msec\nrounds: 392"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 547.3382902596126,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010003513939484295",
+            "extra": "mean: 1.8270236484381197 msec\nrounds: 128"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 639.7532691454003,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020142376559372955",
+            "extra": "mean: 1.5631026025639962 msec\nrounds: 390"
+          },
+          {
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+            "value": 197.72406966982635,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00041301686886209907",
+            "extra": "mean: 5.057553193548316 msec\nrounds: 155"
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 49.06775809829645,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02221406017953691",
+            "extra": "mean: 20.3799814533348 msec\nrounds: 75"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 1.0090564717382822,
+            "unit": "iter/sec",
+            "range": "stddev: 0.06735466390886764",
+            "extra": "mean: 991.024811799997 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 18.988168942707574,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04558556789673926",
+            "extra": "mean: 52.66437237930996 msec\nrounds: 29"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 10.641267986082802,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0035199611338707897",
+            "extra": "mean: 93.97376339998686 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.580342754634236,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006360920880409565",
+            "extra": "mean: 151.9677678333314 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 236.24777365761176,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018428207402806403",
+            "extra": "mean: 4.232844121736682 msec\nrounds: 115"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 146.26612008928834,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00045515844214144265",
+            "extra": "mean: 6.836853260273457 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 275.34241554125157,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004796964538589456",
+            "extra": "mean: 3.631841458332019 msec\nrounds: 120"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 251.48305779368033,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000603770788407726",
+            "extra": "mean: 3.9764110106391812 msec\nrounds: 94"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 642.1693478279628,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001126224657096607",
+            "extra": "mean: 1.5572216322413135 msec\nrounds: 397"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 884.9157750726256,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007086655052166745",
+            "extra": "mean: 1.1300510491158657 msec\nrounds: 509"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 787.1110842192213,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005902974599353055",
+            "extra": "mean: 1.2704687051789583 msec\nrounds: 502"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 60.198047724302924,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004259367192268222",
+            "extra": "mean: 16.611834400009684 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 234.63247023013048,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005952111918051504",
+            "extra": "mean: 4.261984707483953 msec\nrounds: 147"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 235.28082227156207,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006755944982925303",
+            "extra": "mean: 4.250240161290306 msec\nrounds: 155"
+          }
+        ]
       }
     ]
   }

From 2ec24a921ab9b4481f4335703d447eda8ef53d8d Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 8 Jan 2024 19:15:46 +0000
Subject: [PATCH 078/150] add TiPg Benchmarks (pytest) benchmark result for
 8483d5451a9f8ce5b171e120aeb338c2e2c30ea8

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 7431e005..0587f8b4 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1704730083539,
+  "lastUpdate": 1704741346614,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -20453,6 +20453,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.250240161290306 msec\nrounds: 155"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "8483d5451a9f8ce5b171e120aeb338c2e2c30ea8",
+          "message": "Merge pull request #157 from developmentseed/patch/update-starlette-env\n\nupdate FastAPI version lower limit to `>0.107.0` and adapt for new starlette version",
+          "timestamp": "2024-01-08T20:11:18+01:00",
+          "tree_id": "eb8571712b8f7dbc2ff020ddea886194046ed2dd",
+          "url": "https://github.com/developmentseed/tipg/commit/8483d5451a9f8ce5b171e120aeb338c2e2c30ea8"
+        },
+        "date": 1704741345885,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 432.08237928714016,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00023977037849567256",
+            "extra": "mean: 2.3143734804687566 msec\nrounds: 256"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 268.0155522485443,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00024235800129570185",
+            "extra": "mean: 3.731126763392632 msec\nrounds: 224"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 442.210116776162,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011703519610688272",
+            "extra": "mean: 2.2613684356438646 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 255.5676673753587,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021957174498817223",
+            "extra": "mean: 3.9128580319640927 msec\nrounds: 219"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 545.6283927312232,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0022577605597112996",
+            "extra": "mean: 1.8327491994951965 msec\nrounds: 396"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 543.9546951702359,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010171701398683711",
+            "extra": "mean: 1.8383883968260266 msec\nrounds: 126"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 638.4410707615143,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012070251508257965",
+            "extra": "mean: 1.5663152729307162 msec\nrounds: 447"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 203.24198588197538,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003174032038846021",
+            "extra": "mean: 4.920243204968041 msec\nrounds: 161"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 175.62934504723808,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00034721754717245934",
+            "extra": "mean: 5.693809310346374 msec\nrounds: 145"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 116.77857258842543,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005496797609254381",
+            "extra": "mean: 8.563214790477028 msec\nrounds: 105"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 83.27111583998185,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003845440359777174",
+            "extra": "mean: 12.008966013156982 msec\nrounds: 76"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 47.103972591012614,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0093617821703514",
+            "extra": "mean: 21.22963191836603 msec\nrounds: 49"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 38.078989401894994,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012152415164490261",
+            "extra": "mean: 26.261201142860035 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 195.23979745495302,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001273845392005926",
+            "extra": "mean: 5.121906563290337 msec\nrounds: 158"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 158.0629280572509,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015660412510368335",
+            "extra": "mean: 6.3265941754400306 msec\nrounds: 114"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 79.01707811911798,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0026524403090785226",
+            "extra": "mean: 12.65549200000161 msec\nrounds: 75"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 49.10310517018522,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0018113076186515819",
+            "extra": "mean: 20.365310839999324 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 28.076464041135367,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0028530984727025252",
+            "extra": "mean: 35.61702066666518 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 23.180659688732426,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004035168258140415",
+            "extra": "mean: 43.13941075999992 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 195.25996910511898,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022994092294141056",
+            "extra": "mean: 5.12137743636355 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 155.48979595541792,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00032829361835803373",
+            "extra": "mean: 6.431290194031256 msec\nrounds: 134"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 90.65877218921247,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005838705148685516",
+            "extra": "mean: 11.030372195124329 msec\nrounds: 82"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 53.21495548852103,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013604485081792668",
+            "extra": "mean: 18.7917097894728 msec\nrounds: 57"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 30.026282215817414,
+            "unit": "iter/sec",
+            "range": "stddev: 0.018491430833606867",
+            "extra": "mean: 33.30415643243419 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 23.69395097511278,
+            "unit": "iter/sec",
+            "range": "stddev: 0.023411921378495418",
+            "extra": "mean: 42.204864906252304 msec\nrounds: 32"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.688859248936097,
+            "unit": "iter/sec",
+            "range": "stddev: 0.026872030475886422",
+            "extra": "mean: 371.904926000002 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 59.648170056890955,
+            "unit": "iter/sec",
+            "range": "stddev: 0.015723076906418273",
+            "extra": "mean: 16.764973662163058 msec\nrounds: 74"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 1.08625883209601,
+            "unit": "iter/sec",
+            "range": "stddev: 0.06910642976855769",
+            "extra": "mean: 920.5909038000016 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 21.876384652095133,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03017151104330465",
+            "extra": "mean: 45.711392257140105 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 7.622517267915683,
+            "unit": "iter/sec",
+            "range": "stddev: 0.1447163345939142",
+            "extra": "mean: 131.19025708333254 msec\nrounds: 12"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.865450397357643,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00598631628122935",
+            "extra": "mean: 145.65686766666866 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 250.79776489037258,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017354445914912478",
+            "extra": "mean: 3.9872763636355164 msec\nrounds: 121"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 155.15928539882938,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007545065244141216",
+            "extra": "mean: 6.444989724137673 msec\nrounds: 87"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 286.86077044228944,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001646840324494393",
+            "extra": "mean: 3.4860116929135128 msec\nrounds: 127"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 265.17502507924894,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015363007584289295",
+            "extra": "mean: 3.7710942035402644 msec\nrounds: 113"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 621.9078889569214,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002299970040093004",
+            "extra": "mean: 1.6079551614584335 msec\nrounds: 384"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 784.8401521467136,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005534683837371369",
+            "extra": "mean: 1.2741448016704753 msec\nrounds: 479"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 840.3901885286646,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010432836310950821",
+            "extra": "mean: 1.1899234589480114 msec\nrounds: 475"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 53.20207600886906,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005015256861954951",
+            "extra": "mean: 18.796258999992688 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 288.58818463438604,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010448212585794667",
+            "extra": "mean: 3.465145329033153 msec\nrounds: 155"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 275.877120858402,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005977557363327717",
+            "extra": "mean: 3.62480221951158 msec\nrounds: 164"
+          }
+        ]
       }
     ]
   }

From bd8dcaa92c83d20e10a70af655567c5342867009 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 9 Jan 2024 15:19:47 +0000
Subject: [PATCH 079/150] add TiPg Benchmarks (pytest) benchmark result for
 3d6a047afbccb2637c38ef6190069fc08dac6e4a

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 0587f8b4..9445f827 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1704741346614,
+  "lastUpdate": 1704813587796,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -20764,6 +20764,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.62480221951158 msec\nrounds: 164"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "3d6a047afbccb2637c38ef6190069fc08dac6e4a",
+          "message": "Merge pull request #160 from developmentseed/patch/do-not-exclude-null-properties\n\nPatch/do not exclude null properties",
+          "timestamp": "2024-01-09T16:14:57+01:00",
+          "tree_id": "a4b1fd96cacf6fd2025548018925a50b19c52e2e",
+          "url": "https://github.com/developmentseed/tipg/commit/3d6a047afbccb2637c38ef6190069fc08dac6e4a"
+        },
+        "date": 1704813587010,
+        "tool": "pytest",
+        "benches": [
+          {
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+          },
+          {
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+            "value": 305.75543724715544,
+            "unit": "iter/sec",
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+            "extra": "mean: 3.270587790697754 msec\nrounds: 129"
+          },
+          {
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+            "value": 282.93788882366783,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008782969719138068",
+            "extra": "mean: 3.5343446017695372 msec\nrounds: 113"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 629.5737470794911,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006821573777163091",
+            "extra": "mean: 1.5883762698792112 msec\nrounds: 415"
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+          {
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+          {
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+            "value": 804.1650155774101,
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+            "extra": "mean: 1.2435258692296822 msec\nrounds: 520"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 63.24574240730176,
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+            "extra": "mean: 15.811340999999857 msec\nrounds: 5"
+          },
+          {
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+            "value": 300.1891724024249,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009437074907990044",
+            "extra": "mean: 3.3312327423303234 msec\nrounds: 163"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 293.426194781492,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005506456303288254",
+            "extra": "mean: 3.4080120240957967 msec\nrounds: 166"
+          }
+        ]
       }
     ]
   }

From 99e26b62b8aec160fb0a947efaaaf6d82594a7be Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 9 Jan 2024 21:04:01 +0000
Subject: [PATCH 080/150] add TiPg Benchmarks (pytest) benchmark result for
 fa17fb89014757ba012ca416ecfa71dbd890acd6

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 9445f827..aa4e96df 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1704813587796,
+  "lastUpdate": 1704834241199,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -21075,6 +21075,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.4080120240957967 msec\nrounds: 166"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "fa17fb89014757ba012ca416ecfa71dbd890acd6",
+          "message": "Merge pull request #161 from developmentseed/patch/parse-sub-model-settings\n\nparse sub-model for table_settings",
+          "timestamp": "2024-01-09T21:58:36+01:00",
+          "tree_id": "57acb64f785d42f059c1b4a0869d5ab1d9dcdafb",
+          "url": "https://github.com/developmentseed/tipg/commit/fa17fb89014757ba012ca416ecfa71dbd890acd6"
+        },
+        "date": 1704834239967,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 474.8493965821374,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008087435138554247",
+            "extra": "mean: 2.105930863970308 msec\nrounds: 272"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 271.36093117648915,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009540574715630571",
+            "extra": "mean: 3.68512886385113 msec\nrounds: 213"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 435.6504965358485,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010680932259292205",
+            "extra": "mean: 2.2954180196090115 msec\nrounds: 102"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 267.17256051858567,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001296307041353068",
+            "extra": "mean: 3.742899338386345 msec\nrounds: 198"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 581.7763265059344,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010119758758648352",
+            "extra": "mean: 1.7188736537388127 msec\nrounds: 361"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 559.662833834997,
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+            "extra": "mean: 1.786790080641349 msec\nrounds: 124"
+          },
+          {
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+            "value": 649.3169379339009,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006528174209234692",
+            "extra": "mean: 1.5400799541468266 msec\nrounds: 458"
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+            "extra": "mean: 28.30256837498979 msec\nrounds: 8"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 22.77513764193216,
+            "unit": "iter/sec",
+            "range": "stddev: 0.028466719627330297",
+            "extra": "mean: 43.90752827587142 msec\nrounds: 29"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.654492276010955,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0403861097783471",
+            "extra": "mean: 376.71987559999707 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 52.90304832253112,
+            "unit": "iter/sec",
+            "range": "stddev: 0.020441139942799166",
+            "extra": "mean: 18.902502439998443 msec\nrounds: 75"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 1.0174708124492104,
+            "unit": "iter/sec",
+            "range": "stddev: 0.054558556179021514",
+            "extra": "mean: 982.8291757999864 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 19.70970571204682,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04013302306956748",
+            "extra": "mean: 50.73642471428619 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 12.022678503496513,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0019994577357903345",
+            "extra": "mean: 83.1761408000034 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 7.089251916403304,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005664722159784008",
+            "extra": "mean: 141.0586070000098 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 255.5921149172294,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020192720525829844",
+            "extra": "mean: 3.9124837647039254 msec\nrounds: 119"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 165.81597085825072,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008037431072866779",
+            "extra": "mean: 6.030782166663904 msec\nrounds: 84"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 295.6353780182113,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000805539706686061",
+            "extra": "mean: 3.382545102360514 msec\nrounds: 127"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 281.9705916606391,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020600657004601756",
+            "extra": "mean: 3.546469133928452 msec\nrounds: 112"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 589.6473719428527,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003905282176661471",
+            "extra": "mean: 1.695928867969105 msec\nrounds: 409"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 855.8758458238599,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009424091343165177",
+            "extra": "mean: 1.168393762809613 msec\nrounds: 527"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 851.3130548071086,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006954270579082881",
+            "extra": "mean: 1.1746560144394602 msec\nrounds: 554"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 62.758769311115564,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00032144684672357604",
+            "extra": "mean: 15.93402819999028 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 302.52918148623024,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010094662553135029",
+            "extra": "mean: 3.3054662531637975 msec\nrounds: 158"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 296.24494117587284,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00003999275313548872",
+            "extra": "mean: 3.375585068324682 msec\nrounds: 161"
+          }
+        ]
       }
     ]
   }

From 63acfcd481391f2d723789947d7935c461dd69de Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 9 Jan 2024 21:37:15 +0000
Subject: [PATCH 081/150] add TiPg Benchmarks (pytest) benchmark result for
 78599be3b696713f6f6c9956ab6a3ed510c4f17d

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index aa4e96df..0e29f361 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1704834241199,
+  "lastUpdate": 1704836235949,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -21386,6 +21386,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.375585068324682 msec\nrounds: 161"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "78599be3b696713f6f6c9956ab6a3ed510c4f17d",
+          "message": "Bump version: 0.5.7 → 0.6.0",
+          "timestamp": "2024-01-09T22:31:34+01:00",
+          "tree_id": "3e290fe69d08cb4dc5e334d4d67f5564c050eba4",
+          "url": "https://github.com/developmentseed/tipg/commit/78599be3b696713f6f6c9956ab6a3ed510c4f17d"
+        },
+        "date": 1704836234757,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 437.5357886044008,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015398856614512137",
+            "extra": "mean: 2.285527323809739 msec\nrounds: 210"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 274.80185430707434,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001386499192524353",
+            "extra": "mean: 3.6389856339272035 msec\nrounds: 224"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 346.9582737639487,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007139640946916691",
+            "extra": "mean: 2.882190959597479 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 256.36230103272635,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001396076812193734",
+            "extra": "mean: 3.9007295377347364 msec\nrounds: 212"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 578.9167655826445,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009164487010226523",
+            "extra": "mean: 1.7273640347823764 msec\nrounds: 345"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 556.9253702683859,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010117680648439504",
+            "extra": "mean: 1.7955727165348807 msec\nrounds: 127"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 572.3488631382023,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004125038133047671",
+            "extra": "mean: 1.7471861383928962 msec\nrounds: 448"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 204.69753995804834,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021531582980216857",
+            "extra": "mean: 4.885256560508469 msec\nrounds: 157"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 159.55052739094432,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009036961312636203",
+            "extra": "mean: 6.26760698540165 msec\nrounds: 137"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 115.65104342643133,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018989917753842856",
+            "extra": "mean: 8.646701061855325 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 79.75152156198722,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004043338873004972",
+            "extra": "mean: 12.53894572058723 msec\nrounds: 68"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 46.16756426847432,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012434398912097567",
+            "extra": "mean: 21.66022868749984 msec\nrounds: 48"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 36.92002733159162,
+            "unit": "iter/sec",
+            "range": "stddev: 0.015571418637594502",
+            "extra": "mean: 27.085570414633004 msec\nrounds: 41"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 200.25555288015016,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001597290158978461",
+            "extra": "mean: 4.993619330987962 msec\nrounds: 142"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 141.456428210172,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006631103809695311",
+            "extra": "mean: 7.0693146480005 msec\nrounds: 125"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 77.27100738740133,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001138504701367015",
+            "extra": "mean: 12.941464513157692 msec\nrounds: 76"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 46.174385273412085,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012351374085136098",
+            "extra": "mean: 21.657028980000632 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 30.72483699356485,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006086349810295868",
+            "extra": "mean: 32.54695867741934 msec\nrounds: 31"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 21.400496423035786,
+            "unit": "iter/sec",
+            "range": "stddev: 0.018655529892065113",
+            "extra": "mean: 46.72788799999921 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 187.4055260716214,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00025512724460523154",
+            "extra": "mean: 5.336021946427699 msec\nrounds: 56"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 142.75938869465543,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00781924237601353",
+            "extra": "mean: 7.0047932338718235 msec\nrounds: 124"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 85.07965539075187,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008999529856578746",
+            "extra": "mean: 11.753691236844146 msec\nrounds: 76"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 51.51038260978379,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0166462027783159",
+            "extra": "mean: 19.413561875000745 msec\nrounds: 56"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 28.45144944138748,
+            "unit": "iter/sec",
+            "range": "stddev: 0.024199513988887165",
+            "extra": "mean: 35.14759422222369 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 24.000532299806313,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02663385235297306",
+            "extra": "mean: 41.66574255555449 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.404234819210547,
+            "unit": "iter/sec",
+            "range": "stddev: 0.022874483593159693",
+            "extra": "mean: 415.93275000000176 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 51.222720304284515,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02263742342545328",
+            "extra": "mean: 19.522586736112007 msec\nrounds: 72"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 1.0327523374928074,
+            "unit": "iter/sec",
+            "range": "stddev: 0.05637344334675821",
+            "extra": "mean: 968.2863584000017 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 20.507822769932645,
+            "unit": "iter/sec",
+            "range": "stddev: 0.038800816690860385",
+            "extra": "mean: 48.76188034285828 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 11.666128197075977,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002671494595966535",
+            "extra": "mean: 85.71824200000151 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.8738955697670425,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006632619407952782",
+            "extra": "mean: 145.47791566666035 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 250.52023630359162,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016468839865940935",
+            "extra": "mean: 3.991693504504583 msec\nrounds: 111"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 164.8327308354387,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011973950531927365",
+            "extra": "mean: 6.0667562499971766 msec\nrounds: 88"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 308.4545846954134,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011717845798579752",
+            "extra": "mean: 3.2419683467744855 msec\nrounds: 124"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 286.9392122885071,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013897226918458194",
+            "extra": "mean: 3.4850587064222363 msec\nrounds: 109"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 642.169908020596,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008507602752481687",
+            "extra": "mean: 1.5572202738094156 msec\nrounds: 420"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 828.5056604387618,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008500936298668551",
+            "extra": "mean: 1.2069923571438461 msec\nrounds: 518"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 883.0038028314412,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007272511619008493",
+            "extra": "mean: 1.132497953908464 msec\nrounds: 499"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 63.220822480900935,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001971116362487189",
+            "extra": "mean: 15.817573399999674 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 299.6400994138002,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007535885547406146",
+            "extra": "mean: 3.3373370318470266 msec\nrounds: 157"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 291.787500065976,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007978859062179185",
+            "extra": "mean: 3.427151607844374 msec\nrounds: 153"
+          }
+        ]
       }
     ]
   }

From 55d409fcd72be581934cb67e5d7e990ad037368f Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 11 Jan 2024 12:17:30 +0000
Subject: [PATCH 082/150] add TiPg Benchmarks (pytest) benchmark result for
 c3efc80393ca8020a2967703592314cfada08921

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 0e29f361..396a0388 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1704836235949,
+  "lastUpdate": 1704975450011,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -21697,6 +21697,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.427151607844374 msec\nrounds: 153"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "c3efc80393ca8020a2967703592314cfada08921",
+          "message": "Merge pull request #164 from hrodmn/optional-extent-middleware\n\nuse spatial_extent and datetime_extent everywhere",
+          "timestamp": "2024-01-11T13:11:50+01:00",
+          "tree_id": "693da0351e52ec4e78ac2a389921c77ce5e441ae",
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+            "extra": "mean: 18.56360770833258 msec\nrounds: 48"
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+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
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+            "extra": "mean: 41.42152415384824 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 193.19650319794627,
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+          },
+          {
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+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
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+          },
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+            "value": 25.361766412929697,
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+            "extra": "mean: 39.4294302580671 msec\nrounds: 31"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.550050353396268,
+            "unit": "iter/sec",
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+            "extra": "mean: 392.1491192000019 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 53.123365263864585,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01950362968542565",
+            "extra": "mean: 18.824108657894403 msec\nrounds: 76"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 1.0290538177179414,
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+            "extra": "mean: 971.7664739999975 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 20.251376443022895,
+            "unit": "iter/sec",
+            "range": "stddev: 0.038051256458655876",
+            "extra": "mean: 49.37935961111054 msec\nrounds: 36"
+          },
+          {
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+            "value": 11.953159907710242,
+            "unit": "iter/sec",
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+            "extra": "mean: 83.65988639999387 msec\nrounds: 5"
+          },
+          {
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+            "value": 7.025796771402416,
+            "unit": "iter/sec",
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+            "extra": "mean: 142.33261116666066 msec\nrounds: 6"
+          },
+          {
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+            "value": 249.06581364437744,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002453274918265866",
+            "extra": "mean: 4.015003044246874 msec\nrounds: 113"
+          },
+          {
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+            "value": 164.63369681572757,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001006324263029087",
+            "extra": "mean: 6.074090659090814 msec\nrounds: 88"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 307.7865736878176,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000776950086511881",
+            "extra": "mean: 3.2490046203713936 msec\nrounds: 108"
+          },
+          {
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+            "value": 280.07007427242416,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011039306799737273",
+            "extra": "mean: 3.570534990565611 msec\nrounds: 106"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 652.7218741212108,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006859775919990491",
+            "extra": "mean: 1.5320460974995598 msec\nrounds: 400"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 816.7291976235961,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00004951530755256557",
+            "extra": "mean: 1.2243960457268575 msec\nrounds: 503"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 837.7319361553322,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007845783831354247",
+            "extra": "mean: 1.1936992692308916 msec\nrounds: 520"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 63.80765819515787,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021899980497486096",
+            "extra": "mean: 15.672099999994769 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 300.0385096631834,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009139449668539155",
+            "extra": "mean: 3.3329055031055113 msec\nrounds: 161"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 297.65407830592056,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009609222496943433",
+            "extra": "mean: 3.3596045641015135 msec\nrounds: 156"
+          }
+        ]
       }
     ]
   }

From c6b8737924c0cb7194823918dd1fa8295db7b661 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 11 Jan 2024 12:19:31 +0000
Subject: [PATCH 083/150] add TiPg Benchmarks (pytest) benchmark result for
 80a86a999cfbd52556476cda20400b5a1c3e8fce

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 396a0388..cdc56497 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1704975450011,
+  "lastUpdate": 1704975570976,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -22008,6 +22008,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.3596045641015135 msec\nrounds: 156"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "80a86a999cfbd52556476cda20400b5a1c3e8fce",
+          "message": "Bump version: 0.6.0 → 0.6.1",
+          "timestamp": "2024-01-11T13:14:05+01:00",
+          "tree_id": "bf48465ff94e970961efebedd6f0828eef6dc3c0",
+          "url": "https://github.com/developmentseed/tipg/commit/80a86a999cfbd52556476cda20400b5a1c3e8fce"
+        },
+        "date": 1704975570307,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 454.25229663131046,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010133634079523445",
+            "extra": "mean: 2.2014198000007923 msec\nrounds: 240"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 267.6690261222054,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013586629197917288",
+            "extra": "mean: 3.735957105262698 msec\nrounds: 209"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 356.54399057589035,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006439901509993089",
+            "extra": "mean: 2.8047029999995194 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 258.204588959943,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016217140639967305",
+            "extra": "mean: 3.8728978599026243 msec\nrounds: 207"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 598.1599446743099,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006574012173091093",
+            "extra": "mean: 1.671793654696298 msec\nrounds: 362"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 543.4603448920893,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008946459933795356",
+            "extra": "mean: 1.8400606583329686 msec\nrounds: 120"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 569.7629492135885,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0037456816702124084",
+            "extra": "mean: 1.755115879999293 msec\nrounds: 425"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 200.7180127287593,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015084900516323994",
+            "extra": "mean: 4.982113894039754 msec\nrounds: 151"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 162.61307444237656,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006723638671635091",
+            "extra": "mean: 6.149567022388223 msec\nrounds: 134"
+          },
+          {
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+            "value": 112.91938677280365,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019823792518444534",
+            "extra": "mean: 8.855875227271847 msec\nrounds: 88"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 84.27256501970712,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001924807831957503",
+            "extra": "mean: 11.866258013698173 msec\nrounds: 73"
+          },
+          {
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+            "value": 52.56206216214969,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002637628579095349",
+            "extra": "mean: 19.025128749992366 msec\nrounds: 12"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 38.613902982104435,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013299460011013599",
+            "extra": "mean: 25.897408000000638 msec\nrounds: 41"
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+          {
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+            "value": 195.06440786035247,
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+            "value": 155.1415532154166,
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+            "extra": "mean: 20.68487216666881 msec\nrounds: 48"
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+          },
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+          },
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+            "value": 194.26191389162076,
+            "unit": "iter/sec",
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+            "extra": "mean: 5.147689425925777 msec\nrounds: 54"
+          },
+          {
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+            "value": 146.91503737481204,
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+            "extra": "mean: 6.806655178862212 msec\nrounds: 123"
+          },
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+            "value": 87.28672565123611,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008539959958852336",
+            "extra": "mean: 11.456495733333062 msec\nrounds: 75"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 50.96681414614635,
+            "unit": "iter/sec",
+            "range": "stddev: 0.015971789735997177",
+            "extra": "mean: 19.620610327585307 msec\nrounds: 58"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 28.431068739976173,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02546258451923218",
+            "extra": "mean: 35.17278963888989 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 23.866060763564995,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02512495477274089",
+            "extra": "mean: 41.900505068965764 msec\nrounds: 29"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.4988613913081994,
+            "unit": "iter/sec",
+            "range": "stddev: 0.031033565145562075",
+            "extra": "mean: 400.1822603999983 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 53.98851299983101,
+            "unit": "iter/sec",
+            "range": "stddev: 0.019362173563335236",
+            "extra": "mean: 18.52245865714305 msec\nrounds: 70"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 1.0425309204558528,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04514451904434326",
+            "extra": "mean: 959.2041639999934 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 20.686004239524628,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03724100003542772",
+            "extra": "mean: 48.341863823526914 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 11.894908672198742,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002214166209980159",
+            "extra": "mean: 84.06958200000645 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.799738208266038,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004906908901567081",
+            "extra": "mean: 147.06448533332642 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 249.0765051006722,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006497135790586801",
+            "extra": "mean: 4.014830702702442 msec\nrounds: 111"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 158.44071405354833,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021922238708005915",
+            "extra": "mean: 6.311509045976838 msec\nrounds: 87"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 303.2735899227547,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018159038118359267",
+            "extra": "mean: 3.297352731092427 msec\nrounds: 119"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 267.5851787327869,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017486696603812317",
+            "extra": "mean: 3.737127761469216 msec\nrounds: 109"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 664.0572643571986,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007629635301294519",
+            "extra": "mean: 1.5058942258059491 msec\nrounds: 372"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 833.5697519343954,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010098601157381605",
+            "extra": "mean: 1.1996596537714856 msec\nrounds: 517"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 823.9240597849392,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001129554239666018",
+            "extra": "mean: 1.2137040885309505 msec\nrounds: 497"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 62.55930309138395,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002689785522857752",
+            "extra": "mean: 15.984832799995276 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 300.8525437888285,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011979061935913514",
+            "extra": "mean: 3.3238874679481203 msec\nrounds: 156"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 291.71749259014325,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010794950338085416",
+            "extra": "mean: 3.42797406875075 msec\nrounds: 160"
+          }
+        ]
       }
     ]
   }

From 8f941fa80cda35dca65e4f43b4370fb060441417 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Fri, 19 Jan 2024 17:32:44 +0000
Subject: [PATCH 084/150] add TiPg Benchmarks (pytest) benchmark result for
 43a1f2a4756f327c294e2a4dc56ddbb43935a4cf

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index cdc56497..28797f9f 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1704975570976,
+  "lastUpdate": 1705685564106,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -22319,6 +22319,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.42797406875075 msec\nrounds: 160"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "43a1f2a4756f327c294e2a4dc56ddbb43935a4cf",
+          "message": "Merge pull request #166 from developmentseed/patch/fix-url-parsing-html-template\n\nbetter handle URL path when app if proxied",
+          "timestamp": "2024-01-19T18:27:19+01:00",
+          "tree_id": "620a9d045d1eaea59cde767bfe150f290de7701f",
+          "url": "https://github.com/developmentseed/tipg/commit/43a1f2a4756f327c294e2a4dc56ddbb43935a4cf"
+        },
+        "date": 1705685563397,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 435.6822329024197,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001384886374722497",
+            "extra": "mean: 2.2952508146550272 msec\nrounds: 232"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 266.48680045860465,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013607943246638385",
+            "extra": "mean: 3.752531075757117 msec\nrounds: 198"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 435.23069328061234,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017111185120941206",
+            "extra": "mean: 2.297632072918295 msec\nrounds: 96"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 254.29446654849625,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019481060863454593",
+            "extra": "mean: 3.9324489186605676 msec\nrounds: 209"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 557.4935404562821,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006497064461794508",
+            "extra": "mean: 1.793742756519739 msec\nrounds: 345"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 539.5113258951562,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011322440098717313",
+            "extra": "mean: 1.8535292068999696 msec\nrounds: 116"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 529.7617349004336,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005104177858275339",
+            "extra": "mean: 1.8876410546864915 msec\nrounds: 384"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 179.82238460044806,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005073825238881451",
+            "extra": "mean: 5.5610429270078106 msec\nrounds: 137"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 156.12116239860407,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002946613886500846",
+            "extra": "mean: 6.405281543105788 msec\nrounds: 116"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 102.55010628057647,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00028347092525336836",
+            "extra": "mean: 9.75133070329548 msec\nrounds: 91"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 74.15431582920394,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003452784155395367",
+            "extra": "mean: 13.485391764698521 msec\nrounds: 68"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 42.4713892642404,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013235198669512107",
+            "extra": "mean: 23.545262288887947 msec\nrounds: 45"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 34.236987134756305,
+            "unit": "iter/sec",
+            "range": "stddev: 0.016126165433672367",
+            "extra": "mean: 29.20817757894449 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 168.1964347394741,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002971805299665404",
+            "extra": "mean: 5.945429233080583 msec\nrounds: 133"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 134.8149522262423,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005640275113536097",
+            "extra": "mean: 7.4175748571407025 msec\nrounds: 119"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 72.44995799894872,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008694409296723241",
+            "extra": "mean: 13.802630499999884 msec\nrounds: 70"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 48.47954478433106,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010269235053782476",
+            "extra": "mean: 20.62725639130191 msec\nrounds: 46"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 27.13300369954216,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0031904148096758966",
+            "extra": "mean: 36.85548459999192 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 22.669378628743218,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0034526094934961187",
+            "extra": "mean: 44.11236921739304 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 168.96478010819,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003397714702042868",
+            "extra": "mean: 5.918393166668752 msec\nrounds: 54"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 127.5878109112371,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000499268297991177",
+            "extra": "mean: 7.837739301724524 msec\nrounds: 116"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 74.46884394325667,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011057455370412765",
+            "extra": "mean: 13.428434591545079 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 44.78717235451104,
+            "unit": "iter/sec",
+            "range": "stddev: 0.020522464512384903",
+            "extra": "mean: 22.327821727269153 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 25.013286154347764,
+            "unit": "iter/sec",
+            "range": "stddev: 0.029166579890087103",
+            "extra": "mean: 39.97875344444424 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 22.031839961419536,
+            "unit": "iter/sec",
+            "range": "stddev: 0.029105901902668322",
+            "extra": "mean: 45.38885548148149 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.145952708149114,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04386095375585805",
+            "extra": "mean: 465.9934938000106 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 42.44585272330035,
+            "unit": "iter/sec",
+            "range": "stddev: 0.027507033621739587",
+            "extra": "mean: 23.55942773770822 msec\nrounds: 61"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.9812751806152514,
+            "unit": "iter/sec",
+            "range": "stddev: 0.041379420080044034",
+            "extra": "mean: 1.0190821288000051 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 17.924482558075926,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04302523905642195",
+            "extra": "mean: 55.78961606060127 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 11.612934150674839,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0033991201079070807",
+            "extra": "mean: 86.11088180000479 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.758998613079927,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008904114041536503",
+            "extra": "mean: 147.95091066667965 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 250.42374746717195,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008596892170431797",
+            "extra": "mean: 3.9932315130420686 msec\nrounds: 115"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 157.08892502992128,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00029523569891322214",
+            "extra": "mean: 6.365821141175462 msec\nrounds: 85"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 292.3204369956028,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017436743046830532",
+            "extra": "mean: 3.4209034793384716 msec\nrounds: 121"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 263.5302461507293,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015298450080155376",
+            "extra": "mean: 3.794630842594205 msec\nrounds: 108"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 613.4383252039792,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010057386823900997",
+            "extra": "mean: 1.6301557286422923 msec\nrounds: 398"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 829.4887422507469,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000097538999791798",
+            "extra": "mean: 1.2055618709020517 msec\nrounds: 488"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 853.4647044627166,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008958831509178721",
+            "extra": "mean: 1.1716946169783695 msec\nrounds: 483"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 60.94784281084777,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00043622228665860695",
+            "extra": "mean: 16.407471599995915 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 293.59685696640855,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012522242549643176",
+            "extra": "mean: 3.4060310124996107 msec\nrounds: 160"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 279.56701227609125,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001749927019655278",
+            "extra": "mean: 3.5769599276342112 msec\nrounds: 152"
+          }
+        ]
       }
     ]
   }

From 01f779bf897f8ed07f7491ed0aaae3f8b3a061b1 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Fri, 19 Jan 2024 17:33:08 +0000
Subject: [PATCH 085/150] add TiPg Benchmarks (pytest) benchmark result for
 1ed838c700fe33157171171632e6d77bafb41aa3

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 28797f9f..cb1c6271 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1705685564106,
+  "lastUpdate": 1705685588667,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -22630,6 +22630,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.5769599276342112 msec\nrounds: 152"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "1ed838c700fe33157171171632e6d77bafb41aa3",
+          "message": "Bump version: 0.6.1 → 0.6.2",
+          "timestamp": "2024-01-19T18:27:44+01:00",
+          "tree_id": "a6e635a7eb9b67eb26afec6223a5965f094e4ed2",
+          "url": "https://github.com/developmentseed/tipg/commit/1ed838c700fe33157171171632e6d77bafb41aa3"
+        },
+        "date": 1705685587137,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 441.6790778034144,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000854301095103629",
+            "extra": "mean: 2.2640873209871333 msec\nrounds: 243"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 271.46017362828695,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013201028371296995",
+            "extra": "mean: 3.6837816267269825 msec\nrounds: 217"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 356.57551488322963,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006610281793618251",
+            "extra": "mean: 2.8044550404070154 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 261.82694555654746,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001609068852326417",
+            "extra": "mean: 3.8193166019424356 msec\nrounds: 206"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 577.5106702541374,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005523759881894191",
+            "extra": "mean: 1.7315697380274262 msec\nrounds: 355"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 581.883706239104,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007753338351156821",
+            "extra": "mean: 1.718556456002716 msec\nrounds: 125"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 658.3064217745527,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008515072862620615",
+            "extra": "mean: 1.5190494379568205 msec\nrounds: 411"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 208.52953235865047,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001932766132951912",
+            "extra": "mean: 4.7954838275860965 msec\nrounds: 145"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 185.1416249556714,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00023500643530224838",
+            "extra": "mean: 5.401270515149852 msec\nrounds: 132"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 114.75387152420336,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000162665341657159",
+            "extra": "mean: 8.714302940002199 msec\nrounds: 100"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 78.17241369389596,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006588761955157129",
+            "extra": "mean: 12.792236452052704 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 46.280303969418696,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012687872677072784",
+            "extra": "mean: 21.607463958334943 msec\nrounds: 48"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 35.95138687620824,
+            "unit": "iter/sec",
+            "range": "stddev: 0.016752423633946977",
+            "extra": "mean: 27.815338624996855 msec\nrounds: 40"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 191.23954090311346,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017604133786295852",
+            "extra": "mean: 5.229044136362072 msec\nrounds: 154"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 132.9811556703487,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007516997485580535",
+            "extra": "mean: 7.5198624568952654 msec\nrounds: 116"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 78.0470089910172,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008646386963579204",
+            "extra": "mean: 12.812790815790196 msec\nrounds: 76"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 48.63094733947171,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011918069086805014",
+            "extra": "mean: 20.56303762744802 msec\nrounds: 51"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 29.94570565070096,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0023925674800097762",
+            "extra": "mean: 33.39376976667078 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 23.453164038445976,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003875936553618058",
+            "extra": "mean: 42.63817020000943 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 194.2132790484021,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002061388961837057",
+            "extra": "mean: 5.148978509089375 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 148.75312341294003,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0060743575691097045",
+            "extra": "mean: 6.722547917356941 msec\nrounds: 121"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 86.11907272967709,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008660525231540584",
+            "extra": "mean: 11.61182962500007 msec\nrounds: 80"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 50.76022868098708,
+            "unit": "iter/sec",
+            "range": "stddev: 0.016342074102023523",
+            "extra": "mean: 19.70046286207066 msec\nrounds: 58"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 28.768119814026434,
+            "unit": "iter/sec",
+            "range": "stddev: 0.024103109485536695",
+            "extra": "mean: 34.76070061111298 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 24.322347732586284,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02459330183425408",
+            "extra": "mean: 41.114452066657734 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.6531245036749436,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04674144736265317",
+            "extra": "mean: 376.9140870000115 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 52.2289814280186,
+            "unit": "iter/sec",
+            "range": "stddev: 0.020838005411507935",
+            "extra": "mean: 19.146458013510927 msec\nrounds: 74"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 1.0538081255473768,
+            "unit": "iter/sec",
+            "range": "stddev: 0.05169212375614449",
+            "extra": "mean: 948.9393521999773 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 21.112600948016127,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03628791307435907",
+            "extra": "mean: 47.365078441174546 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 12.015891333507103,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0020108349907785503",
+            "extra": "mean: 83.22312280000688 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.730165154225437,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006539741635063773",
+            "extra": "mean: 148.58476383334582 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 241.69654129548303,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013318677965660063",
+            "extra": "mean: 4.137419570176897 msec\nrounds: 114"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 163.91438806877073,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013108671229345288",
+            "extra": "mean: 6.100745711111384 msec\nrounds: 90"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 294.017104975165,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016387129936243263",
+            "extra": "mean: 3.401162663935718 msec\nrounds: 122"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 266.20270588766897,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010922752689673749",
+            "extra": "mean: 3.7565358198198613 msec\nrounds: 111"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 622.5892729623157,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005823592810967246",
+            "extra": "mean: 1.6061953577226642 msec\nrounds: 369"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 865.4263523366594,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007345362576330261",
+            "extra": "mean: 1.155499826530577 msec\nrounds: 490"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 874.2552860409569,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007806613454267355",
+            "extra": "mean: 1.1438306590383627 msec\nrounds: 437"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 63.33237984320666,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002772796912060457",
+            "extra": "mean: 15.789711400009308 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 298.254527931275,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007719061234538349",
+            "extra": "mean: 3.352840967532349 msec\nrounds: 154"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 285.7486809489277,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002489268774337408",
+            "extra": "mean: 3.499578709092034 msec\nrounds: 165"
+          }
+        ]
       }
     ]
   }

From 49a9a7cf6d9565537d5c829f11fdd49d83cac879 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Fri, 2 Feb 2024 09:06:03 +0000
Subject: [PATCH 086/150] add TiPg Benchmarks (pytest) benchmark result for
 b4732c0dfe5c4071952bef61154834779b0ca47b

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index cb1c6271..e1f9b3ea 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1705685588667,
+  "lastUpdate": 1706864763554,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -22941,6 +22941,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.499578709092034 msec\nrounds: 165"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "b4732c0dfe5c4071952bef61154834779b0ca47b",
+          "message": "Merge pull request #167 from developmentseed/patch/avoid-future-deprecation\n\nPatch/avoid future deprecation",
+          "timestamp": "2024-02-02T10:00:29+01:00",
+          "tree_id": "5ab5899a683013c72a951285459aa404054434fd",
+          "url": "https://github.com/developmentseed/tipg/commit/b4732c0dfe5c4071952bef61154834779b0ca47b"
+        },
+        "date": 1706864763007,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 453.000807587204,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007697004415815945",
+            "extra": "mean: 2.2075015833332636 msec\nrounds: 240"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 270.3330918160361,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009291865780713074",
+            "extra": "mean: 3.699140172896437 msec\nrounds: 214"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 356.3811089051202,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006885195154225933",
+            "extra": "mean: 2.805984871286293 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 260.6797717971639,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001486993336116826",
+            "extra": "mean: 3.8361242727268636 msec\nrounds: 209"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 564.0259172608468,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005402766526526833",
+            "extra": "mean: 1.7729681729102655 msec\nrounds: 347"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 562.0615096701031,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014517147629768818",
+            "extra": "mean: 1.7791647049216035 msec\nrounds: 122"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 550.999992294446,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0043041400403440845",
+            "extra": "mean: 1.814882058048406 msec\nrounds: 379"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 203.81619587129032,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017075774202573128",
+            "extra": "mean: 4.9063814370841206 msec\nrounds: 151"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 176.83152828587524,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013403532376909564",
+            "extra": "mean: 5.655100137930986 msec\nrounds: 116"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 114.9099919296506,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002382518379127511",
+            "extra": "mean: 8.702463408162217 msec\nrounds: 98"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 83.32449722698047,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000203690718184273",
+            "extra": "mean: 12.001272534245787 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 51.64520689379685,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00029661762225133357",
+            "extra": "mean: 19.362881090909344 msec\nrounds: 11"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 43.89434946121884,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004133312969233749",
+            "extra": "mean: 22.781975636374597 msec\nrounds: 11"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 176.19305741885057,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005845546372882595",
+            "extra": "mean: 5.675592527024347 msec\nrounds: 148"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 152.5391896059054,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003797271589902969",
+            "extra": "mean: 6.555692360655402 msec\nrounds: 122"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 83.5185742391323,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009490767061895226",
+            "extra": "mean: 11.973384472976957 msec\nrounds: 74"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 49.64387600815865,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0019224558644953763",
+            "extra": "mean: 20.143471469384387 msec\nrounds: 49"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 27.097913484238656,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013845300483644327",
+            "extra": "mean: 36.90321029999761 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 22.935944555515963,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0039620959469549915",
+            "extra": "mean: 43.599686839995684 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 142.97847439045577,
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+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 157.35380674206957,
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+            "extra": "mean: 6.355105228812005 msec\nrounds: 118"
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+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
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+            "extra": "mean: 10.54575709091213 msec\nrounds: 11"
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+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 53.19045353678691,
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+          {
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+            "value": 30.599211470559723,
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+            "extra": "mean: 32.68058070588274 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 24.296428525962106,
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+            "extra": "mean: 41.15831258620762 msec\nrounds: 29"
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+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.575590425168242,
+            "unit": "iter/sec",
+            "range": "stddev: 0.029156152818292595",
+            "extra": "mean: 388.2604897999954 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 55.25246698064548,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01906105031859481",
+            "extra": "mean: 18.09873938027586 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 1.0498322082156921,
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+            "extra": "mean: 952.5331688000051 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 21.559060723463862,
+            "unit": "iter/sec",
+            "range": "stddev: 0.035742574274291124",
+            "extra": "mean: 46.38421000000465 msec\nrounds: 35"
+          },
+          {
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+            "value": 11.962883145278802,
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+            "extra": "mean: 83.59188899999026 msec\nrounds: 5"
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+          {
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+            "extra": "mean: 141.67725266665343 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 254.9104658854092,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009296371161840531",
+            "extra": "mean: 3.92294602940914 msec\nrounds: 102"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 158.79219430067604,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019280346057809833",
+            "extra": "mean: 6.297538770114108 msec\nrounds: 87"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 306.2968016964182,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012611085614237794",
+            "extra": "mean: 3.264807188522772 msec\nrounds: 122"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 271.02853526398604,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013437927795437716",
+            "extra": "mean: 3.6896483944983296 msec\nrounds: 109"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 648.4002455719698,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009511942811618903",
+            "extra": "mean: 1.542257281407837 msec\nrounds: 398"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 857.7723004335031,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008811094931876849",
+            "extra": "mean: 1.1658105530973866 msec\nrounds: 452"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 807.4350027598415,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008524943862853181",
+            "extra": "mean: 1.2384897813222915 msec\nrounds: 439"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 62.565120123257174,
+            "unit": "iter/sec",
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+            "extra": "mean: 15.983346599989547 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 295.1597745431656,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005848114554590696",
+            "extra": "mean: 3.387995540882063 msec\nrounds: 159"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 288.71878823597154,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013032690951926505",
+            "extra": "mean: 3.463577850647856 msec\nrounds: 154"
+          }
+        ]
       }
     ]
   }

From 58cf63dcb7fd8d16e8417e5057e4e9024f8532d2 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Fri, 2 Feb 2024 09:13:56 +0000
Subject: [PATCH 087/150] add TiPg Benchmarks (pytest) benchmark result for
 53646a2347518e20bc287e9ae91bc8117ab4d2b4

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index e1f9b3ea..92dfb3b0 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1706864763554,
+  "lastUpdate": 1706865236486,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -23252,6 +23252,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.463577850647856 msec\nrounds: 154"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "53646a2347518e20bc287e9ae91bc8117ab4d2b4",
+          "message": "Bump version: 0.6.2 → 0.6.3",
+          "timestamp": "2024-02-02T10:07:30+01:00",
+          "tree_id": "c8139615d42dcb96cfa240062e42678fa96ca2b4",
+          "url": "https://github.com/developmentseed/tipg/commit/53646a2347518e20bc287e9ae91bc8117ab4d2b4"
+        },
+        "date": 1706865235809,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 441.5861159672806,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001294228948464787",
+            "extra": "mean: 2.2645639521739294 msec\nrounds: 230"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 265.3496011345728,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014539264349583124",
+            "extra": "mean: 3.7686131643847736 msec\nrounds: 219"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 293.8234969902069,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00986722947395224",
+            "extra": "mean: 3.403403778947366 msec\nrounds: 95"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 246.12439998209896,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002283288580823544",
+            "extra": "mean: 4.062986034999909 msec\nrounds: 200"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 486.55916825537554,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005908017887344836",
+            "extra": "mean: 2.0552484985241093 msec\nrounds: 339"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 518.3545241058963,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001484582771361396",
+            "extra": "mean: 1.9291815803573595 msec\nrounds: 112"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 488.9159227211801,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006712783950504436",
+            "extra": "mean: 2.0453414452821614 msec\nrounds: 265"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 165.58830930303014,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003745564739445513",
+            "extra": "mean: 6.03907367741752 msec\nrounds: 93"
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+          {
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+            "value": 148.11129828027282,
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+            "extra": "mean: 6.751679389830801 msec\nrounds: 118"
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+          {
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+            "extra": "mean: 10.440343582417057 msec\nrounds: 91"
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+          {
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       }
     ]
   }

From f1af4edfc7ab06487a919fe6ff27a959435ebc39 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 15 Feb 2024 15:38:26 +0000
Subject: [PATCH 088/150] add TiPg Benchmarks (pytest) benchmark result for
 e621bab6fd8628b0171cb5a89a60d1286bce65ee

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 92dfb3b0..8ea28add 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1706865236486,
+  "lastUpdate": 1708011506861,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -23563,6 +23563,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.6499362171040306 msec\nrounds: 152"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "e621bab6fd8628b0171cb5a89a60d1286bce65ee",
+          "message": "Merge pull request #168 from developmentseed/vincents/update-leaflet\n\nupdate leaflet",
+          "timestamp": "2024-02-15T16:33:00+01:00",
+          "tree_id": "3434bc634f46ee6d397348e1eaac482ba0887257",
+          "url": "https://github.com/developmentseed/tipg/commit/e621bab6fd8628b0171cb5a89a60d1286bce65ee"
+        },
+        "date": 1708011506351,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 450.9029596675844,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011681878901103963",
+            "extra": "mean: 2.217772091665182 msec\nrounds: 240"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 265.4578048581455,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002640105945214048",
+            "extra": "mean: 3.767077033332574 msec\nrounds: 210"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 330.05948322107884,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007130072774096137",
+            "extra": "mean: 3.029756909999719 msec\nrounds: 100"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 259.6046756355839,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019811848264637388",
+            "extra": "mean: 3.85201074499804 msec\nrounds: 200"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 470.0724995665943,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005630926012530786",
+            "extra": "mean: 2.127331424242 msec\nrounds: 264"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 543.7887351765086,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011607328388723978",
+            "extra": "mean: 1.838949458332214 msec\nrounds: 120"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 633.9286143938862,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010103674287933277",
+            "extra": "mean: 1.5774646818177205 msec\nrounds: 396"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 198.69450246642285,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014486703584300426",
+            "extra": "mean: 5.032851878571672 msec\nrounds: 140"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 162.39525348260685,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006675563137111729",
+            "extra": "mean: 6.157815444446496 msec\nrounds: 126"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 114.9661529585949,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00041349087100364115",
+            "extra": "mean: 8.698212250001532 msec\nrounds: 84"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 82.11382167035326,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00031528645050316235",
+            "extra": "mean: 12.178217742860756 msec\nrounds: 70"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 48.4922886202829,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009060062718975975",
+            "extra": "mean: 20.621835521735502 msec\nrounds: 46"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 38.75648725461653,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013750755510170172",
+            "extra": "mean: 25.80213200000172 msec\nrounds: 41"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 189.1560559497846,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020568066657642",
+            "extra": "mean: 5.286640150001176 msec\nrounds: 140"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 155.47125441484246,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019417420747036633",
+            "extra": "mean: 6.432057191303735 msec\nrounds: 115"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 73.20217151416935,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008264295141219456",
+            "extra": "mean: 13.660796931501347 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 51.32521873892494,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012980058008695726",
+            "extra": "mean: 19.483599379998395 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 26.21055777083819,
+            "unit": "iter/sec",
+            "range": "stddev: 0.017712477272958268",
+            "extra": "mean: 38.15256465517105 msec\nrounds: 29"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 24.78437266908497,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0020950216047024525",
+            "extra": "mean: 40.348005307689704 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 186.55544930078463,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022242168798192508",
+            "extra": "mean: 5.360336584902932 msec\nrounds: 53"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 150.71953813017984,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007836536088363814",
+            "extra": "mean: 6.634839864863954 msec\nrounds: 111"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 82.04016782540867,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008469795413943229",
+            "extra": "mean: 12.18915107692271 msec\nrounds: 78"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 53.83453980599596,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014861496493386332",
+            "extra": "mean: 18.575435094341096 msec\nrounds: 53"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 37.50258334200869,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005676470343435317",
+            "extra": "mean: 26.66482975000406 msec\nrounds: 8"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 23.744007200238002,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0266930564384945",
+            "extra": "mean: 42.115890193546456 msec\nrounds: 31"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.3367857875842697,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04058499112512845",
+            "extra": "mean: 427.9382412000132 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 48.60519886248354,
+            "unit": "iter/sec",
+            "range": "stddev: 0.023262397487889712",
+            "extra": "mean: 20.57393084285601 msec\nrounds: 70"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 1.0128680465153788,
+            "unit": "iter/sec",
+            "range": "stddev: 0.047379206290829805",
+            "extra": "mean: 987.2954363999838 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 19.43112377218954,
+            "unit": "iter/sec",
+            "range": "stddev: 0.039588400807719235",
+            "extra": "mean: 51.46382740000003 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 12.064581291601549,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005300594720869136",
+            "extra": "mean: 82.88725284615758 msec\nrounds: 13"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 7.152580335019578,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007935512923527987",
+            "extra": "mean: 139.8096845000012 msec\nrounds: 8"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 247.0755226052469,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014932907877525552",
+            "extra": "mean: 4.047345481477346 msec\nrounds: 108"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 163.43429018615672,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015746641377269846",
+            "extra": "mean: 6.118667012050953 msec\nrounds: 83"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 302.04619634297353,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011712787159512542",
+            "extra": "mean: 3.310751838981941 msec\nrounds: 118"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 267.8982318810928,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00027800459886275126",
+            "extra": "mean: 3.732760731484977 msec\nrounds: 108"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 661.5236784632625,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000638181464935164",
+            "extra": "mean: 1.5116616873382782 msec\nrounds: 387"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 857.1303517450768,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008939404633637394",
+            "extra": "mean: 1.1666836881508715 msec\nrounds: 481"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 837.6122473961987,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000641516107489697",
+            "extra": "mean: 1.193869840261529 msec\nrounds: 457"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 60.98427026617011,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006748334483224037",
+            "extra": "mean: 16.397671000004266 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 294.6819177901583,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007975354166975927",
+            "extra": "mean: 3.3934895208334286 msec\nrounds: 144"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 282.708259803171,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018307255071232386",
+            "extra": "mean: 3.537215363626894 msec\nrounds: 11"
+          }
+        ]
       }
     ]
   }

From 5dbed14c95efdc8659bf6ce01e63350a0e2a6c09 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 27 Mar 2024 08:25:10 +0000
Subject: [PATCH 089/150] add TiPg Benchmarks (pytest) benchmark result for
 9a42606243c6835328c7569e8c77df920ab2e674

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 8ea28add..bb33228a 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1708011506861,
+  "lastUpdate": 1711527910538,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -23874,6 +23874,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.537215363626894 msec\nrounds: 11"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "9a42606243c6835328c7569e8c77df920ab2e674",
+          "message": "update docker for db",
+          "timestamp": "2024-03-27T09:19:29+01:00",
+          "tree_id": "0ffa5e2a0dee0bd0c0b26fa4aff7d2ef1b20a4dd",
+          "url": "https://github.com/developmentseed/tipg/commit/9a42606243c6835328c7569e8c77df920ab2e674"
+        },
+        "date": 1711527910061,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 410.39406609668407,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003266847394798869",
+            "extra": "mean: 2.4366824050628733 msec\nrounds: 237"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 271.47827489785374,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008647824961220247",
+            "extra": "mean: 3.683536004404991 msec\nrounds: 227"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 454.3978440940236,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013571234861770574",
+            "extra": "mean: 2.2007146666679187 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 270.48452264439567,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014425197655238645",
+            "extra": "mean: 3.6970692083357903 msec\nrounds: 216"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 539.1640903701741,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003606440540742859",
+            "extra": "mean: 1.8547229273252037 msec\nrounds: 344"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 544.1796148019935,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001296993068566902",
+            "extra": "mean: 1.8376285564534833 msec\nrounds: 124"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 653.448266895238,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007685189617045341",
+            "extra": "mean: 1.5303430289154347 msec\nrounds: 415"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 198.09082787044946,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00033752454933305573",
+            "extra": "mean: 5.048189311692895 msec\nrounds: 154"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 161.83128056287973,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0063156122678750355",
+            "extra": "mean: 6.179275085272831 msec\nrounds: 129"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 114.29942691827992,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00040457701996443027",
+            "extra": "mean: 8.748950252523706 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 83.4378386547697,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00025151598684917996",
+            "extra": "mean: 11.984970082189866 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 46.68223945976631,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011008950011330048",
+            "extra": "mean: 21.421423041665832 msec\nrounds: 48"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 38.92688939040073,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013901573233512265",
+            "extra": "mean: 25.689183380950993 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 189.86063354095234,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022349171813302527",
+            "extra": "mean: 5.267021295303448 msec\nrounds: 149"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 123.40753321446877,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009700699212397565",
+            "extra": "mean: 8.103233035718407 msec\nrounds: 112"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 77.79971758235926,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005732744961044948",
+            "extra": "mean: 12.853517095886549 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 41.62172030526555,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011936739668658802",
+            "extra": "mean: 24.025917061229457 msec\nrounds: 49"
+          },
+          {
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+            "extra": "mean: 46.78394575001003 msec\nrounds: 24"
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+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
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+            "extra": "mean: 5.056822634619843 msec\nrounds: 52"
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+            "extra": "mean: 11.33151624096476 msec\nrounds: 83"
+          },
+          {
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+            "extra": "mean: 36.220789750002616 msec\nrounds: 36"
+          },
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+            "extra": "mean: 40.48852480645799 msec\nrounds: 31"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
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+            "extra": "mean: 384.9781471999904 msec\nrounds: 5"
+          },
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+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 53.80109572164032,
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+            "extra": "mean: 18.586982041664474 msec\nrounds: 72"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
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+            "extra": "mean: 945.7824589999973 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 19.908404743940412,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03922465884110311",
+            "extra": "mean: 50.230041676461965 msec\nrounds: 34"
+          },
+          {
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+          },
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+          },
+          {
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+            "value": 237.99846910116977,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001344530488756429",
+            "extra": "mean: 4.201707699115133 msec\nrounds: 113"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 163.92794571640636,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019192108835736448",
+            "extra": "mean: 6.100241149425429 msec\nrounds: 87"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 285.382175716324,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001294611225224621",
+            "extra": "mean: 3.5040730819643806 msec\nrounds: 122"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 269.6505423349879,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010733589968671192",
+            "extra": "mean: 3.708503574072905 msec\nrounds: 108"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 657.3238876048555,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007743415895244572",
+            "extra": "mean: 1.5213200354604202 msec\nrounds: 423"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 761.6216182747085,
+            "unit": "iter/sec",
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+            "extra": "mean: 1.3129879404753335 msec\nrounds: 504"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 883.0686180714156,
+            "unit": "iter/sec",
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+            "extra": "mean: 1.1324148311191917 msec\nrounds: 527"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 63.45302155290607,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002816343123760432",
+            "extra": "mean: 15.75969080000732 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 300.22956716101925,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001369100547314323",
+            "extra": "mean: 3.3307845374991984 msec\nrounds: 160"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 247.28126180797244,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006915125493417843",
+            "extra": "mean: 4.043978070512093 msec\nrounds: 156"
+          }
+        ]
       }
     ]
   }

From 8b137af177decf86774c8948256d3bea55e83dad Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 27 Mar 2024 16:44:24 +0000
Subject: [PATCH 090/150] add TiPg Benchmarks (pytest) benchmark result for
 1edfab5dbdcc737b475c7ab965e4c129a89870c6

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index bb33228a..c5ff69da 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1711527910538,
+  "lastUpdate": 1711557864338,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -24185,6 +24185,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.043978070512093 msec\nrounds: 156"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "1edfab5dbdcc737b475c7ab965e4c129a89870c6",
+          "message": "Merge pull request #172 from developmentseed/feature/avoid-serialization-deserialization\n\navoid serializing and deserializing when not necessary",
+          "timestamp": "2024-03-27T17:38:09+01:00",
+          "tree_id": "d4fcd9ae220b801a3babcf393ae395f74c7f429d",
+          "url": "https://github.com/developmentseed/tipg/commit/1edfab5dbdcc737b475c7ab965e4c129a89870c6"
+        },
+        "date": 1711557863262,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 371.1588128875116,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004769507059566006",
+            "extra": "mean: 2.694264463829594 msec\nrounds: 235"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 252.70161536880389,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007154089263623298",
+            "extra": "mean: 3.9572362786069095 msec\nrounds: 201"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 271.68107933836603,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01026253622540092",
+            "extra": "mean: 3.6807863191479266 msec\nrounds: 94"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 253.506884693427,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017304395572651413",
+            "extra": "mean: 3.9446660441168224 msec\nrounds: 204"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 492.8765435813262,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0051213700949956625",
+            "extra": "mean: 2.0289056418344176 msec\nrounds: 349"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 522.9255523227819,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012732083909576644",
+            "extra": "mean: 1.9123181025637441 msec\nrounds: 117"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 540.3991964104129,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005280148108355531",
+            "extra": "mean: 1.8504838768126841 msec\nrounds: 414"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 201.1794456177129,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018778136053465783",
+            "extra": "mean: 4.970686726616344 msec\nrounds: 139"
+          },
+          {
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+            "value": 160.66187671592908,
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+            "extra": "mean: 6.2242519534869425 msec\nrounds: 129"
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+          {
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+            "range": "stddev: 0.000448497241462951",
+            "extra": "mean: 9.686875715909144 msec\nrounds: 88"
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+          {
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+            "value": 287.47163876206304,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012372073602676223",
+            "extra": "mean: 3.4786040261442577 msec\nrounds: 153"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 285.9533859983033,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013320203905635807",
+            "extra": "mean: 3.4970734705898305 msec\nrounds: 153"
+          }
+        ]
       }
     ]
   }

From 788598f1bbe8a6999761d1b68b4188410f2b413a Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Fri, 29 Mar 2024 14:37:01 +0000
Subject: [PATCH 091/150] add TiPg Benchmarks (pytest) benchmark result for
 a6c0038e9bd88a74a9c535327fcfa9a1eb6c80c8

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index c5ff69da..10d5903e 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1711557864338,
+  "lastUpdate": 1711723021601,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -24496,6 +24496,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.4970734705898305 msec\nrounds: 153"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "a6c0038e9bd88a74a9c535327fcfa9a1eb6c80c8",
+          "message": "Merge pull request #174 from developmentseed/patch/better-handle-prefix-and-root-path-in-template\n\nbetter handle router-prefix and root-path in HTML template",
+          "timestamp": "2024-03-29T15:31:12+01:00",
+          "tree_id": "1bd9f8d13d7b8673ddd3a6ff8201aef3e3e52ebe",
+          "url": "https://github.com/developmentseed/tipg/commit/a6c0038e9bd88a74a9c535327fcfa9a1eb6c80c8"
+        },
+        "date": 1711723021103,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 395.7642195291134,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004288253765470166",
+            "extra": "mean: 2.5267569695659096 msec\nrounds: 230"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 276.2805894039062,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022215993611371775",
+            "extra": "mean: 3.61950871089991 msec\nrounds: 211"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 313.28437544977044,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008606750752347844",
+            "extra": "mean: 3.1919881052616756 msec\nrounds: 95"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 260.3163320724842,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002049413109540478",
+            "extra": "mean: 3.8414800640382154 msec\nrounds: 203"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 520.4976087124721,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004314431897413332",
+            "extra": "mean: 1.9212384135128842 msec\nrounds: 370"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 581.5820023462337,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011568752376912186",
+            "extra": "mean: 1.719447981481155 msec\nrounds: 108"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 641.5216015594962,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007865496729938833",
+            "extra": "mean: 1.5587939635533186 msec\nrounds: 439"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 189.72245724337435,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009693364145701841",
+            "extra": "mean: 5.270857306666699 msec\nrounds: 150"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 184.87732918864094,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002107288667620193",
+            "extra": "mean: 5.408992029410175 msec\nrounds: 136"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 117.00719217942489,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00037375489969380954",
+            "extra": "mean: 8.546483180850526 msec\nrounds: 94"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 81.07178127130409,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007205644051126107",
+            "extra": "mean: 12.33474810000205 msec\nrounds: 70"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 44.40767786782983,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013214150711548467",
+            "extra": "mean: 22.51862848979158 msec\nrounds: 49"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 36.24326405230001,
+            "unit": "iter/sec",
+            "range": "stddev: 0.016320292774337233",
+            "extra": "mean: 27.59133389743741 msec\nrounds: 39"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 169.10920458770988,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007593212389870616",
+            "extra": "mean: 5.9133386762595865 msec\nrounds: 139"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 146.97639519143982,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003584978433163963",
+            "extra": "mean: 6.803813623932464 msec\nrounds: 117"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 75.926666030703,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006962875174964973",
+            "extra": "mean: 13.170603323944489 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 46.55228198777065,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0014697092527281726",
+            "extra": "mean: 21.481224062500342 msec\nrounds: 48"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 27.614708119328274,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0025235569205666825",
+            "extra": "mean: 36.212586266666825 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 22.369861818903047,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003978289300224556",
+            "extra": "mean: 44.703002999999626 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 185.4142340775898,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00030806825973766485",
+            "extra": "mean: 5.393329185188299 msec\nrounds: 54"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 151.98156015575645,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00034686125388439204",
+            "extra": "mean: 6.579745588709329 msec\nrounds: 124"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 83.21537933291744,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009729077050539279",
+            "extra": "mean: 12.017009452054868 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 52.93130587179984,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01417688091173677",
+            "extra": "mean: 18.892411277779736 msec\nrounds: 54"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 28.207303779709264,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02406057288847956",
+            "extra": "mean: 35.45181091428325 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 22.61559750644034,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0282813010796363",
+            "extra": "mean: 44.2172708333364 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 2.3386050859849754,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01855584078171706",
+            "extra": "mean: 427.605330199998 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 47.668687655406515,
+            "unit": "iter/sec",
+            "range": "stddev: 0.025031968074139415",
+            "extra": "mean: 20.9781315405393 msec\nrounds: 74"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.9858663318027857,
+            "unit": "iter/sec",
+            "range": "stddev: 0.05129172039373582",
+            "extra": "mean: 1.0143362926000008 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 19.07944963013326,
+            "unit": "iter/sec",
+            "range": "stddev: 0.04155471913404719",
+            "extra": "mean: 52.41241332352916 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 11.912483065751092,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0023780406546475997",
+            "extra": "mean: 83.94555479999326 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.931254227538058,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006333624305973402",
+            "extra": "mean: 144.27403283333243 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 238.94824940971355,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014339884534014555",
+            "extra": "mean: 4.185006596492557 msec\nrounds: 114"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 161.40460010026072,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001905621164436231",
+            "extra": "mean: 6.1956102823514545 msec\nrounds: 85"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 296.53084294003844,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001916146457929629",
+            "extra": "mean: 3.372330480314354 msec\nrounds: 127"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 288.4429358620447,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008735060383452316",
+            "extra": "mean: 3.4668902429916884 msec\nrounds: 107"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 644.0714462236843,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008288432272315662",
+            "extra": "mean: 1.5526227810023154 msec\nrounds: 379"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 881.5750572609419,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000053565779688201914",
+            "extra": "mean: 1.1343333636355422 msec\nrounds: 495"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 828.9580856490179,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008768348391036926",
+            "extra": "mean: 1.2063336100003994 msec\nrounds: 500"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 62.64795253708858,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018846396477344927",
+            "extra": "mean: 15.96221360000527 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 292.2975961153165,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010047165206979613",
+            "extra": "mean: 3.421170797468627 msec\nrounds: 158"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 244.97695944588187,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00767076416256284",
+            "extra": "mean: 4.082016538461084 msec\nrounds: 156"
+          }
+        ]
       }
     ]
   }

From 6ad35465ef48087d30fa885306d96613829dbc54 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Fri, 29 Mar 2024 17:45:51 +0000
Subject: [PATCH 092/150] add TiPg Benchmarks (pytest) benchmark result for
 5ed605c84020b14c5e6b8efca93a718456d96d16

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 10d5903e..2e942967 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1711723021601,
+  "lastUpdate": 1711734351425,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -24807,6 +24807,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 4.082016538461084 msec\nrounds: 156"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "5ed605c84020b14c5e6b8efca93a718456d96d16",
+          "message": "Merge pull request #173 from developmentseed/feature/new-multi-tms-viewer\n\n(feature): new tile viewer supporting multiple TMS",
+          "timestamp": "2024-03-29T18:40:04+01:00",
+          "tree_id": "c150db07950f8e4f834911fb256ef7e37f48d2c7",
+          "url": "https://github.com/developmentseed/tipg/commit/5ed605c84020b14c5e6b8efca93a718456d96d16"
+        },
+        "date": 1711734350965,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 374.68025554720754,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004639958611929306",
+            "extra": "mean: 2.6689423453593375 msec\nrounds: 194"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 276.7721899816369,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012741164950248366",
+            "extra": "mean: 3.6130797681166857 msec\nrounds: 207"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 334.30150610769806,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0077156344443582",
+            "extra": "mean: 2.9913116804141517 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 265.50870815734925,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017791472463082384",
+            "extra": "mean: 3.7663548097539867 msec\nrounds: 205"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 563.5513366548956,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007284579408931",
+            "extra": "mean: 1.7744612335333247 msec\nrounds: 334"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 546.738711138123,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012140338329662192",
+            "extra": "mean: 1.829027247619511 msec\nrounds: 105"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 613.3563863757809,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001432979338200092",
+            "extra": "mean: 1.6303735026039767 msec\nrounds: 384"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 203.29364131205173,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002226015701961685",
+            "extra": "mean: 4.918993007090761 msec\nrounds: 141"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 177.88056135873137,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016103367782643196",
+            "extra": "mean: 5.6217497424201515 msec\nrounds: 132"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 117.12097166539844,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017421217659637688",
+            "extra": "mean: 8.538180530613156 msec\nrounds: 98"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 83.19417740123164,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003416193025684286",
+            "extra": "mean: 12.020071971830033 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 47.57554500366371,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008236788313879228",
+            "extra": "mean: 21.019202195644667 msec\nrounds: 46"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 39.61538217750831,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01247444164985545",
+            "extra": "mean: 25.242720000004226 msec\nrounds: 40"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 194.9026331983573,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001261844920857024",
+            "extra": "mean: 5.130767007043332 msec\nrounds: 142"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 142.3667876614744,
+            "unit": "iter/sec",
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+            "extra": "mean: 5.0470641061973875 msec\nrounds: 113"
+          },
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+            "unit": "iter/sec",
+            "range": "stddev: 0.0002489725743514634",
+            "extra": "mean: 6.434592517649327 msec\nrounds: 85"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 237.16917048791024,
+            "unit": "iter/sec",
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+            "extra": "mean: 4.216399618646789 msec\nrounds: 118"
+          },
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+            "value": 257.12195615900947,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019184764276396462",
+            "extra": "mean: 3.8892050097097877 msec\nrounds: 103"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 558.0970667577528,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00481511585194881",
+            "extra": "mean: 1.7918030026738327 msec\nrounds: 374"
+          },
+          {
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+          {
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+            "value": 717.3587095118128,
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+            "extra": "mean: 1.3940027307684526 msec\nrounds: 468"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 61.75315350197084,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007073153199339498",
+            "extra": "mean: 16.193505000001096 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 286.529200072898,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012984908184305409",
+            "extra": "mean: 3.490045690790267 msec\nrounds: 152"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 282.94718887672735,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009870471320556266",
+            "extra": "mean: 3.5342284331217497 msec\nrounds: 157"
+          }
+        ]
       }
     ]
   }

From acb17a4afd81b4a0aba69a771fef6f13fb16753e Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 1 Apr 2024 16:51:43 +0000
Subject: [PATCH 093/150] add TiPg Benchmarks (pytest) benchmark result for
 baeb57773737e9d151a65e19b24a08f8b4af3861

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 2e942967..a607eb85 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1711734351425,
+  "lastUpdate": 1711990303686,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -25118,6 +25118,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.5342284331217497 msec\nrounds: 157"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "baeb57773737e9d151a65e19b24a08f8b4af3861",
+          "message": "Bump version: 0.6.3 → 0.7.0",
+          "timestamp": "2024-04-01T18:45:46+02:00",
+          "tree_id": "0c08670282a417e9ebdac0630c31f0a78213d36b",
+          "url": "https://github.com/developmentseed/tipg/commit/baeb57773737e9d151a65e19b24a08f8b4af3861"
+        },
+        "date": 1711990303116,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 374.91578804956436,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0042902604166330785",
+            "extra": "mean: 2.6672656417120497 msec\nrounds: 187"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 282.4565523020959,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010031347999748826",
+            "extra": "mean: 3.5403675073200978 msec\nrounds: 205"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 306.94336882376336,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00954911330674187",
+            "extra": "mean: 3.257929968749925 msec\nrounds: 96"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 262.4631156737342,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001613799796423882",
+            "extra": "mean: 3.810059167487336 msec\nrounds: 203"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 574.7704712405376,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009905960871646153",
+            "extra": "mean: 1.7398249388867901 msec\nrounds: 360"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 524.6247746154983,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013221979343901823",
+            "extra": "mean: 1.906124240382868 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
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+            "unit": "iter/sec",
+            "range": "stddev: 0.00009140817846396179",
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+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 876.9617192612398,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006440354867918215",
+            "extra": "mean: 1.1403006289059103 msec\nrounds: 512"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 62.610533418313636,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004586125487578401",
+            "extra": "mean: 15.971753400003765 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 291.1797100140718,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006538433392133309",
+            "extra": "mean: 3.4343052266645677 msec\nrounds: 150"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 284.1814448320428,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017013060606033102",
+            "extra": "mean: 3.5188785833326346 msec\nrounds: 156"
+          }
+        ]
       }
     ]
   }

From 84336a242d8216b6267dc21ea9ddd8cd28930d11 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 7 May 2024 08:09:14 +0000
Subject: [PATCH 094/150] add TiPg Benchmarks (pytest) benchmark result for
 39bad9c1971b141958fd57a75d8602c516bbfe4d

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index a607eb85..4acc9351 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1711990303686,
+  "lastUpdate": 1715069354620,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -25429,6 +25429,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.5188785833326346 msec\nrounds: 156"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "39bad9c1971b141958fd57a75d8602c516bbfe4d",
+          "message": "Merge pull request #177 from developmentseed/patch/update-ci\n\nupdate workflows",
+          "timestamp": "2024-05-07T10:00:28+02:00",
+          "tree_id": "875b9f63f78ec33f7b0493013a6567de2f487d57",
+          "url": "https://github.com/developmentseed/tipg/commit/39bad9c1971b141958fd57a75d8602c516bbfe4d"
+        },
+        "date": 1715069354061,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 518.3787123228316,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008037740750903039",
+            "extra": "mean: 1.9290915622654434 msec\nrounds: 265"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 360.88640971916954,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000868555870934141",
+            "extra": "mean: 2.770954996000455 msec\nrounds: 250"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 511.12110794574374,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001412875369719726",
+            "extra": "mean: 1.9564834722226956 msec\nrounds: 108"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 350.81683546435056,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013794363880605503",
+            "extra": "mean: 2.8504903382882785 msec\nrounds: 269"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 650.7536950890111,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008142516051087866",
+            "extra": "mean: 1.5366797108439292 msec\nrounds: 415"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 625.0325050874285,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001257798130668343",
+            "extra": "mean: 1.5999167913037127 msec\nrounds: 115"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 732.2360700964176,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010076173327897317",
+            "extra": "mean: 1.3656797866681498 msec\nrounds: 450"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 219.09500091732784,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00024260242779871244",
+            "extra": "mean: 4.564230109373124 msec\nrounds: 128"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 195.2734821367379,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003521171762460922",
+            "extra": "mean: 5.121023034247743 msec\nrounds: 146"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 139.84704679585286,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002752814408409797",
+            "extra": "mean: 7.15066941284637 msec\nrounds: 109"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 94.09579388936318,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007908778456358671",
+            "extra": "mean: 10.627467590908358 msec\nrounds: 88"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 57.18221782231968,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007447457693996808",
+            "extra": "mean: 17.487954089281136 msec\nrounds: 56"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 44.760417537586854,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011670282657802324",
+            "extra": "mean: 22.341167822222964 msec\nrounds: 45"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 218.73708147016436,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020162625292206458",
+            "extra": "mean: 4.57169855828217 msec\nrounds: 163"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 171.56144300249755,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00034120016884772557",
+            "extra": "mean: 5.828815510635698 msec\nrounds: 141"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 90.42809305013436,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0011538312637220504",
+            "extra": "mean: 11.058510317646405 msec\nrounds: 85"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 57.03297976402306,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001475126156155607",
+            "extra": "mean: 17.533714775863935 msec\nrounds: 58"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 35.383014587048336,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004665493069729639",
+            "extra": "mean: 28.262148142856145 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 28.378995375205,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002406052374801353",
+            "extra": "mean: 35.23732911538192 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 201.42025605905673,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00034072148484132355",
+            "extra": "mean: 4.964743961534824 msec\nrounds: 52"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 162.0067732717056,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0070041065245765935",
+            "extra": "mean: 6.1725814285732055 msec\nrounds: 133"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 100.38184249060423,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007616927000251868",
+            "extra": "mean: 9.96196100000456 msec\nrounds: 91"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 62.86171227927726,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014154892984383854",
+            "extra": "mean: 15.907934476192368 msec\nrounds: 63"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 34.93129766476044,
+            "unit": "iter/sec",
+            "range": "stddev: 0.017584658560902106",
+            "extra": "mean: 28.627622414635482 msec\nrounds: 41"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 29.59912262002228,
+            "unit": "iter/sec",
+            "range": "stddev: 0.019281457338208546",
+            "extra": "mean: 33.78478520588146 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 5.036726383394077,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0024178671392063827",
+            "extra": "mean: 198.54165660000263 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 84.46380782368765,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009908364421836003",
+            "extra": "mean: 11.839390453333937 msec\nrounds: 75"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 1.5876626747158893,
+            "unit": "iter/sec",
+            "range": "stddev: 0.10163456526524502",
+            "extra": "mean: 629.8567170000069 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 34.063962244613954,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003121663546087754",
+            "extra": "mean: 29.356537939391234 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 12.240310760339758,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0020721402985954427",
+            "extra": "mean: 81.69727219999459 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 7.8731147236310575,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006125822026545154",
+            "extra": "mean: 127.01453428571443 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 277.83015162460407,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001449862299847609",
+            "extra": "mean: 3.599321362899339 msec\nrounds: 124"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 192.69630449104199,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001524808800385784",
+            "extra": "mean: 5.189513118278238 msec\nrounds: 93"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 353.31877031820244,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010044733275198068",
+            "extra": "mean: 2.830305333337909 msec\nrounds: 12"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 321.6348825095838,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012968234701075032",
+            "extra": "mean: 3.109115504504406 msec\nrounds: 111"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 770.2892107974457,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014683170806738518",
+            "extra": "mean: 1.2982136916662057 msec\nrounds: 480"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 988.322260076458,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008800646517120193",
+            "extra": "mean: 1.0118157208385032 msec\nrounds: 523"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 970.9220879678421,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007613324715826553",
+            "extra": "mean: 1.029948759424166 msec\nrounds: 557"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 65.59193666257771,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014047576384050282",
+            "extra": "mean: 15.245776399990518 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 327.9225266269572,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000514136876741492",
+            "extra": "mean: 3.0495007777785097 msec\nrounds: 144"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 267.2025157794832,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0072569642156080855",
+            "extra": "mean: 3.742479733331851 msec\nrounds: 165"
+          }
+        ]
       }
     ]
   }

From 4b0d8698bc7e3bb0c4d0588d982d8c1ac4749767 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 7 May 2024 08:09:31 +0000
Subject: [PATCH 095/150] add TiPg Benchmarks (pytest) benchmark result for
 d30d51581b98fd4b1e54d35484feef28cfa36663

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 4acc9351..d093a4b3 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1715069354620,
+  "lastUpdate": 1715069371708,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -25740,6 +25740,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.742479733331851 msec\nrounds: 165"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "d30d51581b98fd4b1e54d35484feef28cfa36663",
+          "message": "Merge pull request #175 from developmentseed/feature/fastapi-slim\n\nswitch to fastapi-slim",
+          "timestamp": "2024-05-07T10:01:29+02:00",
+          "tree_id": "3fff2c77330d2573932d77e88e662e46783138de",
+          "url": "https://github.com/developmentseed/tipg/commit/d30d51581b98fd4b1e54d35484feef28cfa36663"
+        },
+        "date": 1715069370509,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 531.9871052923045,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008008311575471672",
+            "extra": "mean: 1.879744809698991 msec\nrounds: 268"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 361.43139874938214,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000138182496298085",
+            "extra": "mean: 2.7667767755103196 msec\nrounds: 245"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 534.2634243728193,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001224895748307777",
+            "extra": "mean: 1.871735841123537 msec\nrounds: 107"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 335.5811183739263,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018849868019423362",
+            "extra": "mean: 2.9799054393928532 msec\nrounds: 264"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 682.3764212185476,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006877378838561072",
+            "extra": "mean: 1.4654668140705371 msec\nrounds: 398"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 635.843350502528,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008060949628263267",
+            "extra": "mean: 1.5727144102547697 msec\nrounds: 117"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 662.8155981010426,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0036611021322081497",
+            "extra": "mean: 1.5087152488037185 msec\nrounds: 418"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 223.0083094965817,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015295436790036868",
+            "extra": "mean: 4.484137843371832 msec\nrounds: 166"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 207.05675803883835,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015195554201882983",
+            "extra": "mean: 4.829593631580122 msec\nrounds: 152"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 137.20518182885652,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019696229963851616",
+            "extra": "mean: 7.2883544678899534 msec\nrounds: 109"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 88.31877936738617,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008843320995922162",
+            "extra": "mean: 11.322620253165251 msec\nrounds: 79"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 57.344219956232365,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00036495772746697485",
+            "extra": "mean: 17.438549181822406 msec\nrounds: 11"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
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+            "extra": "mean: 35.30433643333216 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
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+          },
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+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
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+            "extra": "mean: 11.422963027025554 msec\nrounds: 74"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
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+            "extra": "mean: 578.4948545999896 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 33.73537028637649,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0036104190779863055",
+            "extra": "mean: 29.642478843750375 msec\nrounds: 32"
+          },
+          {
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+          {
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+          {
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+            "value": 271.654226185832,
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+            "range": "stddev: 0.00015798899285190428",
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+          },
+          {
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+            "value": 188.20607353405498,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021266717533950698",
+            "extra": "mean: 5.31332481052507 msec\nrounds: 95"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 342.4274014794337,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015840445170585323",
+            "extra": "mean: 2.9203270406502804 msec\nrounds: 123"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 327.73312481419674,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008180337136308728",
+            "extra": "mean: 3.051263129312713 msec\nrounds: 116"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 786.7149507781356,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006730475474731844",
+            "extra": "mean: 1.2711084224481881 msec\nrounds: 490"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 901.0879856898489,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000056182216330898465",
+            "extra": "mean: 1.109769540689666 msec\nrounds: 553"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 952.6003725767148,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007564596148818914",
+            "extra": "mean: 1.0497581449554472 msec\nrounds: 545"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 64.42296179180663,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005494849988244796",
+            "extra": "mean: 15.522415800001 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 322.6810740235373,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000886313323454842",
+            "extra": "mean: 3.099035179011017 msec\nrounds: 162"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 275.2718883104908,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006099175122559258",
+            "extra": "mean: 3.6327719700605887 msec\nrounds: 167"
+          }
+        ]
       }
     ]
   }

From c3b854734a1ec15b8cfbc258b08763099d3be016 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 7 May 2024 08:19:02 +0000
Subject: [PATCH 096/150] add TiPg Benchmarks (pytest) benchmark result for
 26b2188b13fc6431098ae935f3222501ba043030

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index d093a4b3..b3569675 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1715069371708,
+  "lastUpdate": 1715069942509,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -26051,6 +26051,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.6327719700605887 msec\nrounds: 167"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "26b2188b13fc6431098ae935f3222501ba043030",
+          "message": "Merge pull request #178 from developmentseed/dependabot/github_actions/all-ec64423157\n\nBump the all group with 7 updates",
+          "timestamp": "2024-05-07T10:10:32+02:00",
+          "tree_id": "d9db7f2cb6da205be85a1efc2acc843554600f47",
+          "url": "https://github.com/developmentseed/tipg/commit/26b2188b13fc6431098ae935f3222501ba043030"
+        },
+        "date": 1715069941377,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 547.0000126690854,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006914982206793015",
+            "extra": "mean: 1.8281535225575265 msec\nrounds: 266"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 363.2720695108729,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010298510348981657",
+            "extra": "mean: 2.752757737049392 msec\nrounds: 251"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 508.09642090729426,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013329791969497447",
+            "extra": "mean: 1.96813037614854 msec\nrounds: 109"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 345.29536471156007,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001497403499914439",
+            "extra": "mean: 2.8960713122672312 msec\nrounds: 269"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 672.6269254368873,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007737312508765481",
+            "extra": "mean: 1.4867082511608882 msec\nrounds: 430"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 636.2210977741346,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009088948098426348",
+            "extra": "mean: 1.5717806333341855 msec\nrounds: 120"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 665.0227364271973,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0033379071363528376",
+            "extra": "mean: 1.5037079865456207 msec\nrounds: 446"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 231.397431434357,
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+            "range": "stddev: 0.00015638993739733323",
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 739.2771805947052,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006496382416247086",
+            "extra": "mean: 1.3526726189432203 msec\nrounds: 454"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 1018.0117090590741,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007575333218203709",
+            "extra": "mean: 982.306972602779 usec\nrounds: 584"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 986.6510306474223,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007976181540375236",
+            "extra": "mean: 1.0135295752377802 msec\nrounds: 525"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 65.52791727799153,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015924561031472215",
+            "extra": "mean: 15.260671199996523 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 321.84282097784956,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000942118461617219",
+            "extra": "mean: 3.1071067453414587 msec\nrounds: 161"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 315.74567271105497,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015148122752461782",
+            "extra": "mean: 3.1671059540224307 msec\nrounds: 174"
+          }
+        ]
       }
     ]
   }

From c3c9c82451ce4c7ea2c75207170ee19b5e02051a Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 7 May 2024 08:19:14 +0000
Subject: [PATCH 097/150] add TiPg Benchmarks (pytest) benchmark result for
 ade4b6b4121c3d6e6a40198c30de78c12a795745

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index b3569675..156a02d4 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1715069942509,
+  "lastUpdate": 1715069954633,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -26362,6 +26362,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.1671059540224307 msec\nrounds: 174"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "ade4b6b4121c3d6e6a40198c30de78c12a795745",
+          "message": "Bump version: 0.7.0 → 0.7.1",
+          "timestamp": "2024-05-07T10:11:06+02:00",
+          "tree_id": "78d08bfd7df726f590435fb04cb85bfd687060d2",
+          "url": "https://github.com/developmentseed/tipg/commit/ade4b6b4121c3d6e6a40198c30de78c12a795745"
+        },
+        "date": 1715069953812,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 535.3440290192203,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005162476399604899",
+            "extra": "mean: 1.8679576978416195 msec\nrounds: 278"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 351.93732852372267,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001452927185902106",
+            "extra": "mean: 2.841414987704534 msec\nrounds: 244"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 519.2668604446386,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011428806529703804",
+            "extra": "mean: 1.9257920660365624 msec\nrounds: 106"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 347.63297364869544,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018380410969938226",
+            "extra": "mean: 2.8765970888899672 msec\nrounds: 270"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 677.6003765453546,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007657922838885871",
+            "extra": "mean: 1.475796110235877 msec\nrounds: 381"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 628.3519184691693,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010830181272745725",
+            "extra": "mean: 1.5914648632509363 msec\nrounds: 117"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 760.7591519504821,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007546977122653953",
+            "extra": "mean: 1.3144764639848727 msec\nrounds: 472"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 226.8996381221996,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012375393232873103",
+            "extra": "mean: 4.407234882681645 msec\nrounds: 179"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 201.78609931015114,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017058652654933305",
+            "extra": "mean: 4.955742756407471 msec\nrounds: 156"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 143.47003257833956,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001531697350939929",
+            "extra": "mean: 6.9700966956563954 msec\nrounds: 115"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 102.95324159304164,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012892534386443845",
+            "extra": "mean: 9.713147294116744 msec\nrounds: 85"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 55.85395631455863,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009245302385166788",
+            "extra": "mean: 17.90383467857128 msec\nrounds: 56"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 46.444926166688056,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010605953533565915",
+            "extra": "mean: 21.530877159995043 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 219.49726751279823,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019797129184987575",
+            "extra": "mean: 4.55586537058687 msec\nrounds: 170"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 174.1510851888794,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002539068753582055",
+            "extra": "mean: 5.74214050354856 msec\nrounds: 141"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 88.18116912420118,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001140589893327172",
+            "extra": "mean: 11.340289655170286 msec\nrounds: 87"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 56.17564157995942,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0017549762652889008",
+            "extra": "mean: 17.80130981818192 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 36.63001429369781,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00023534715826211599",
+            "extra": "mean: 27.300016647060108 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 30.168811303276357,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007022187092769758",
+            "extra": "mean: 33.14681476665935 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 215.84664385598066,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014552648803685275",
+            "extra": "mean: 4.632918919356605 msec\nrounds: 62"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 181.66699162702398,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00024666808957146035",
+            "extra": "mean: 5.504577309526187 msec\nrounds: 126"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 110.7227034269062,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004332990138219949",
+            "extra": "mean: 9.0315713855393 msec\nrounds: 83"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 70.91796172608476,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006451584765426523",
+            "extra": "mean: 14.100800074633053 msec\nrounds: 67"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 37.57748770106252,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014191735347579023",
+            "extra": "mean: 26.61167792682757 msec\nrounds: 41"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 31.39849151221995,
+            "unit": "iter/sec",
+            "range": "stddev: 0.015815162143509587",
+            "extra": "mean: 31.848663800004875 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 5.115608584795327,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000632547481642232",
+            "extra": "mean: 195.480163000002 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 87.60825935627739,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007006030145100098",
+            "extra": "mean: 11.414448904107203 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 1.6004395974815477,
+            "unit": "iter/sec",
+            "range": "stddev: 0.09311268513028628",
+            "extra": "mean: 624.8283293999975 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 33.46609836546793,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004046264121761523",
+            "extra": "mean: 29.88098549999639 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 12.657253111436251,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001350629563978996",
+            "extra": "mean: 79.00608380000449 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 8.009117698581054,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005260502873082514",
+            "extra": "mean: 124.85769814285115 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 279.49746291501276,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016374545314183758",
+            "extra": "mean: 3.577850008263122 msec\nrounds: 121"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 190.6249997887068,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012860877165621245",
+            "extra": "mean: 5.245901645158942 msec\nrounds: 93"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 342.7161921435235,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014226475502771262",
+            "extra": "mean: 2.9178662197005787 msec\nrounds: 132"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 306.439842398434,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008583506315530917",
+            "extra": "mean: 3.263283234233612 msec\nrounds: 111"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 782.4151464689774,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001019617378570722",
+            "extra": "mean: 1.2780938668084052 msec\nrounds: 473"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 1017.6549225371996,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006536875121145947",
+            "extra": "mean: 982.6513662478213 usec\nrounds: 557"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 983.1662011353786,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006575409571689626",
+            "extra": "mean: 1.017122027633966 msec\nrounds: 579"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 66.29888553301154,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007521601287367141",
+            "extra": "mean: 15.083209799990982 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 327.28120304436936,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007697489804176878",
+            "extra": "mean: 3.055476424243132 msec\nrounds: 165"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 309.6652804743548,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000047911642944302544",
+            "extra": "mean: 3.2292932500155302 msec\nrounds: 12"
+          }
+        ]
       }
     ]
   }

From 68282d7ca7ce90e4969e7c8e40ea3abdd67608e7 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 28 May 2024 14:07:47 +0000
Subject: [PATCH 098/150] add TiPg Benchmarks (pytest) benchmark result for
 594cf1036720c964d552d11f22876ec28a581f46

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 156a02d4..70fece35 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1715069954633,
+  "lastUpdate": 1716905267559,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -26673,6 +26673,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.2292932500155302 msec\nrounds: 12"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "594cf1036720c964d552d11f22876ec28a581f46",
+          "message": "Merge pull request #180 from developmentseed/dependabot/github_actions/all-77d833d2d7\n\nBump nyurik/action-setup-postgis from 1 to 2 in the all group",
+          "timestamp": "2024-05-28T16:00:57+02:00",
+          "tree_id": "5f6c033f35fe49aa2a158a16a6507e3622e5e2ec",
+          "url": "https://github.com/developmentseed/tipg/commit/594cf1036720c964d552d11f22876ec28a581f46"
+        },
+        "date": 1716905266364,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 544.8051121622327,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010428902720688477",
+            "extra": "mean: 1.8355187528090204 msec\nrounds: 267"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 372.85166822682737,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009432222220957646",
+            "extra": "mean: 2.6820317172126527 msec\nrounds: 244"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 548.8388983803492,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011794853053683879",
+            "extra": "mean: 1.8220282909084062 msec\nrounds: 110"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 350.24240270322616,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014574383584369462",
+            "extra": "mean: 2.855165429090944 msec\nrounds: 275"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 692.9834654395438,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007832741182114599",
+            "extra": "mean: 1.4430358729637547 msec\nrounds: 307"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 618.3513162059536,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010531485300829584",
+            "extra": "mean: 1.6172036410235942 msec\nrounds: 117"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 757.2649718467123,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000799470057447531",
+            "extra": "mean: 1.3205417352942381 msec\nrounds: 476"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 225.15418242644523,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001367657070058406",
+            "extra": "mean: 4.4414009512201105 msec\nrounds: 164"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 192.8031362929767,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00542487311815329",
+            "extra": "mean: 5.186637620253418 msec\nrounds: 158"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 143.49251201422405,
+            "unit": "iter/sec",
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+          },
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+            "extra": "mean: 35.685514233330196 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
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+            "extra": "mean: 8.969586905881416 msec\nrounds: 85"
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+          },
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+          },
+          {
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+            "value": 4.921073263126602,
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
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+            "unit": "iter/sec",
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+            "extra": "mean: 11.36892459701383 msec\nrounds: 67"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
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+            "extra": "mean: 627.3512036 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 31.08634132092286,
+            "unit": "iter/sec",
+            "range": "stddev: 0.023949841127603583",
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+          },
+          {
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+          },
+          {
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+          },
+          {
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+            "value": 279.8387260536739,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015145919272147436",
+            "extra": "mean: 3.5734868225786487 msec\nrounds: 124"
+          },
+          {
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+            "value": 186.42914477807747,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015189699357398017",
+            "extra": "mean: 5.363968177778133 msec\nrounds: 90"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 361.26728160982213,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014466829025414145",
+            "extra": "mean: 2.7680336717567062 msec\nrounds: 131"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 319.41249987859476,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001920381816749647",
+            "extra": "mean: 3.130747858584399 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 810.9815702188276,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000920374955233331",
+            "extra": "mean: 1.2330736439918968 msec\nrounds: 441"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 967.9928115041364,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008833874037776327",
+            "extra": "mean: 1.0330655229207009 msec\nrounds: 589"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 1032.1445210094146,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005401521802141692",
+            "extra": "mean: 968.8565696420325 usec\nrounds: 560"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 65.73557138063086,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022779071261146776",
+            "extra": "mean: 15.212463799997522 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 324.2472530176429,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000539809792069072",
+            "extra": "mean: 3.084066220124887 msec\nrounds: 159"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 312.1314305870962,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021903820334544564",
+            "extra": "mean: 3.2037786073612446 msec\nrounds: 163"
+          }
+        ]
       }
     ]
   }

From ba571fa113ba163ef30386fea32358250a422479 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 25 Jun 2024 13:34:36 +0000
Subject: [PATCH 099/150] add TiPg Benchmarks (pytest) benchmark result for
 0975f181f28aa94e11ccf3bf8737cd8734421018

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 70fece35..87a893f2 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1716905267559,
+  "lastUpdate": 1719322476906,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -26984,6 +26984,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.2037786073612446 msec\nrounds: 163"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "0975f181f28aa94e11ccf3bf8737cd8734421018",
+          "message": "Merge pull request #182 from developmentseed/dependabot/github_actions/all-bf940bc907\n\nBump docker/build-push-action from 5 to 6 in the all group",
+          "timestamp": "2024-06-25T15:28:41+02:00",
+          "tree_id": "6e7ede7fd29d6c4de606eef5f3f966e276f44f62",
+          "url": "https://github.com/developmentseed/tipg/commit/0975f181f28aa94e11ccf3bf8737cd8734421018"
+        },
+        "date": 1719322476137,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 539.9148087373347,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000998996303958398",
+            "extra": "mean: 1.8521440490558836 msec\nrounds: 265"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 359.45618506053785,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012184381242503124",
+            "extra": "mean: 2.781980228916036 msec\nrounds: 249"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 534.2120107273023,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001238111833803839",
+            "extra": "mean: 1.8719159807705392 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 330.6473568609015,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014814066413935855",
+            "extra": "mean: 3.0243701612914613 msec\nrounds: 217"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 655.8767386442875,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006897457721502683",
+            "extra": "mean: 1.5246767282325384 msec\nrounds: 379"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 636.369595096833,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001461463400547331",
+            "extra": "mean: 1.57141385714356 msec\nrounds: 112"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 645.6983748663328,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004761336074348674",
+            "extra": "mean: 1.5487107276784025 msec\nrounds: 448"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 225.59840638096765,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018991973388528616",
+            "extra": "mean: 4.432655425372561 msec\nrounds: 134"
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+          {
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+            "extra": "mean: 7.703509735849156 msec\nrounds: 106"
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+          {
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+            "value": 189.6403312143473,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014680934201754154",
+            "extra": "mean: 5.273139914893509 msec\nrounds: 94"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 336.7417468822949,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017272345184073289",
+            "extra": "mean: 2.9696347698449794 msec\nrounds: 126"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 328.71345768620034,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001630067715790259",
+            "extra": "mean: 3.0421632477080687 msec\nrounds: 109"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 826.9215159356747,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008151087387187234",
+            "extra": "mean: 1.2093046083925925 msec\nrounds: 429"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 903.5279952852186,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006059461854179092",
+            "extra": "mean: 1.106772568440813 msec\nrounds: 526"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 953.7051920872959,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009292390033646119",
+            "extra": "mean: 1.0485420529287277 msec\nrounds: 529"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 64.40620882554987,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013726378401130265",
+            "extra": "mean: 15.52645339999117 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 320.4191325099828,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007406158732756189",
+            "extra": "mean: 3.1209122631553368 msec\nrounds: 114"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 309.7906816831807,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001610414503475856",
+            "extra": "mean: 3.227986053572419 msec\nrounds: 168"
+          }
+        ]
       }
     ]
   }

From 5c2099cdb32756ea8a55fd0884526cb479b811da Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 27 Aug 2024 07:24:11 +0000
Subject: [PATCH 100/150] add TiPg Benchmarks (pytest) benchmark result for
 8b576de62017c31b08b96738ed00fa4b8ad39af2

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 87a893f2..99d862fa 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1719322476906,
+  "lastUpdate": 1724743451005,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -27295,6 +27295,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.227986053572419 msec\nrounds: 168"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "8b576de62017c31b08b96738ed00fa4b8ad39af2",
+          "message": "Merge pull request #186 from developmentseed/patch/update-fastapi-version\n\nrevert to fastapi and update version",
+          "timestamp": "2024-08-27T09:17:24+02:00",
+          "tree_id": "df21e1cce8004d01d3b782fb7e4ccdf3f0d2b781",
+          "url": "https://github.com/developmentseed/tipg/commit/8b576de62017c31b08b96738ed00fa4b8ad39af2"
+        },
+        "date": 1724743449939,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 534.1190363715967,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011507462431085348",
+            "extra": "mean: 1.8722418260791607 msec\nrounds: 253"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 369.765737732244,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007912186133300543",
+            "extra": "mean: 2.7044149794217094 msec\nrounds: 243"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 519.6176241787167,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013879020620308498",
+            "extra": "mean: 1.9244920754575123 msec\nrounds: 106"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 337.08658743430897,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005058030861878387",
+            "extra": "mean: 2.966596824902975 msec\nrounds: 257"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 656.2967218620547,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006686172937915719",
+            "extra": "mean: 1.5237010435809968 msec\nrounds: 436"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 622.6255582319299,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011174721093649672",
+            "extra": "mean: 1.6061017521344618 msec\nrounds: 117"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 719.9020942105029,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007887751619751142",
+            "extra": "mean: 1.389077776050468 msec\nrounds: 451"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 228.37507586368486,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015072766760046733",
+            "extra": "mean: 4.378761544875814 msec\nrounds: 156"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 199.90335705724607,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002513216283068156",
+            "extra": "mean: 5.0024172416155634 msec\nrounds: 149"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 139.40644399825612,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006304422726489168",
+            "extra": "mean: 7.173269551388237 msec\nrounds: 107"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 101.60554810169883,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002579063254667421",
+            "extra": "mean: 9.84198224096072 msec\nrounds: 83"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 59.33226679442126,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002209434548332021",
+            "extra": "mean: 16.854235545472626 msec\nrounds: 11"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 42.01664530925799,
+            "unit": "iter/sec",
+            "range": "stddev: 0.016470321933492432",
+            "extra": "mean: 23.80009143137515 msec\nrounds: 51"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 224.63429824145743,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001271418807923835",
+            "extra": "mean: 4.451679943038391 msec\nrounds: 158"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 174.96812582045834,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00034303074593423",
+            "extra": "mean: 5.715326693423802 msec\nrounds: 137"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 87.7932596790129,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001035268475784319",
+            "extra": "mean: 11.39039606976857 msec\nrounds: 86"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 52.059329957887215,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014449863417724695",
+            "extra": "mean: 19.20885268421507 msec\nrounds: 57"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 34.72820573666316,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0017281422597018356",
+            "extra": "mean: 28.795037888878976 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 28.84463723915349,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0023819478392022473",
+            "extra": "mean: 34.66848938708814 msec\nrounds: 31"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 207.76686059518534,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00036151349014715896",
+            "extra": "mean: 4.813087116662018 msec\nrounds: 60"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 172.91526920352254,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007508276921668482",
+            "extra": "mean: 5.783179268124625 msec\nrounds: 138"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 101.60214068280517,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00657931918459317",
+            "extra": "mean: 9.842312310347186 msec\nrounds: 87"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 58.75622441085997,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014870302904615787",
+            "extra": "mean: 17.019473426464227 msec\nrounds: 68"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 34.75370926528379,
+            "unit": "iter/sec",
+            "range": "stddev: 0.019732154248298005",
+            "extra": "mean: 28.77390704879151 msec\nrounds: 41"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 33.49232923508439,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006195988640127766",
+            "extra": "mean: 29.857583000004222 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 4.575818667290981,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0048960636179464535",
+            "extra": "mean: 218.54012859998875 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 77.31828217646215,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010691618493302739",
+            "extra": "mean: 12.93355170149432 msec\nrounds: 67"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 1.580293788043864,
+            "unit": "iter/sec",
+            "range": "stddev: 0.12819528980918518",
+            "extra": "mean: 632.7937296000073 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 32.525451179091284,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004176599718655829",
+            "extra": "mean: 30.745153833341494 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 12.125507755031276,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00218440751114148",
+            "extra": "mean: 82.4707731999979 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 7.714915021477841,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005927740351276222",
+            "extra": "mean: 129.6190557142966 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 294.59490327909117,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006479159524453816",
+            "extra": "mean: 3.3944918560000588 msec\nrounds: 125"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 189.12325375191804,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022253408293776192",
+            "extra": "mean: 5.287557083338612 msec\nrounds: 96"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 355.54966876856145,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011852506859844208",
+            "extra": "mean: 2.812546566175911 msec\nrounds: 136"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 326.8606039022424,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009003820618814881",
+            "extra": "mean: 3.059408163790459 msec\nrounds: 116"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 799.7687803017336,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006504120961747033",
+            "extra": "mean: 1.2503613852277702 msec\nrounds: 501"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 987.5400068491002,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000881313096740862",
+            "extra": "mean: 1.0126172034190852 msec\nrounds: 585"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 997.216674184479,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009527576157205291",
+            "extra": "mean: 1.0027910943404523 msec\nrounds: 583"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 62.59292310630738,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015557686891103938",
+            "extra": "mean: 15.976247000025978 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 256.8663127535934,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008375944506855932",
+            "extra": "mean: 3.893075698716786 msec\nrounds: 156"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 305.94029807605244,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022029108422937695",
+            "extra": "mean: 3.2686115764697794 msec\nrounds: 170"
+          }
+        ]
       }
     ]
   }

From 7727d047a5fa51497d00660f8287e754c65574a3 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 27 Aug 2024 07:35:57 +0000
Subject: [PATCH 101/150] add TiPg Benchmarks (pytest) benchmark result for
 c9e140f4583b0c08a3b64fb0580834eabc6c946b

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 99d862fa..8e28448b 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1724743451005,
+  "lastUpdate": 1724744157050,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -27606,6 +27606,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.2686115764697794 msec\nrounds: 170"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "c9e140f4583b0c08a3b64fb0580834eabc6c946b",
+          "message": "Bump version: 0.7.1 → 0.7.2",
+          "timestamp": "2024-08-27T09:29:14+02:00",
+          "tree_id": "367b61f7686164f01787fec9073edff667368b32",
+          "url": "https://github.com/developmentseed/tipg/commit/c9e140f4583b0c08a3b64fb0580834eabc6c946b"
+        },
+        "date": 1724744155842,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 522.129486492518,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015574434607257612",
+            "extra": "mean: 1.9152337224194091 msec\nrounds: 281"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 357.56189971026424,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012514313976271855",
+            "extra": "mean: 2.7967185564522095 msec\nrounds: 248"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 519.9541780291693,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009387783153678376",
+            "extra": "mean: 1.9232463979622072 msec\nrounds: 98"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 351.8835170164725,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016293304567227302",
+            "extra": "mean: 2.841849508833878 msec\nrounds: 283"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 686.4273139074952,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007927615534096897",
+            "extra": "mean: 1.4568184857148074 msec\nrounds: 420"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 657.0550232370132,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008400255628201572",
+            "extra": "mean: 1.5219425537201619 msec\nrounds: 121"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 747.389559967492,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006115304764431065",
+            "extra": "mean: 1.3379903246755218 msec\nrounds: 462"
+          },
+          {
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+          },
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+            "range": "stddev: 0.00018934883456572552",
+            "extra": "mean: 5.145171773195676 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 356.6983910484465,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014436639746851174",
+            "extra": "mean: 2.8034889562038443 msec\nrounds: 137"
+          },
+          {
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+            "value": 329.828585212412,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011957203903122203",
+            "extra": "mean: 3.0318779051730544 msec\nrounds: 116"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 835.4932433910672,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006824580770372733",
+            "extra": "mean: 1.196897770161778 msec\nrounds: 496"
+          },
+          {
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+            "value": 1055.9039387320736,
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+            "range": "stddev: 0.00003854858128290216",
+            "extra": "mean: 947.0558479029798 usec\nrounds: 572"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 1010.1587339287851,
+            "unit": "iter/sec",
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+            "extra": "mean: 989.9434281092883 usec\nrounds: 619"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 65.4089399631281,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011822879317391673",
+            "extra": "mean: 15.288429999992559 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 319.37510896855605,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007653096223908881",
+            "extra": "mean: 3.1311143915678623 msec\nrounds: 166"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 319.7087057561842,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015873165102245088",
+            "extra": "mean: 3.1278472621969153 msec\nrounds: 164"
+          }
+        ]
       }
     ]
   }

From 611e6502c4ebb64e642a1f713e214438f4a082ab Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Fri, 30 Aug 2024 14:25:35 +0000
Subject: [PATCH 102/150] add TiPg Benchmarks (pytest) benchmark result for
 4654a91ccf034800de1e30c8a05a2872012e22d0

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 8e28448b..80b7ebdc 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1724744157050,
+  "lastUpdate": 1725027935524,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -27917,6 +27917,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.1278472621969153 msec\nrounds: 164"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "4654a91ccf034800de1e30c8a05a2872012e22d0",
+          "message": "Merge pull request #187 from mattdiez-at/add_sorted_env\n\nAdded in environment variable for sorting/config",
+          "timestamp": "2024-08-30T16:19:27+02:00",
+          "tree_id": "f412935ee8978a953f11218227d8d80679039085",
+          "url": "https://github.com/developmentseed/tipg/commit/4654a91ccf034800de1e30c8a05a2872012e22d0"
+        },
+        "date": 1725027934775,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 549.5489198208314,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008750195678700706",
+            "extra": "mean: 1.8196742163118589 msec\nrounds: 282"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 351.9523545001326,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009897196795017608",
+            "extra": "mean: 2.8412936785726863 msec\nrounds: 252"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 543.0005406645553,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010464188209025013",
+            "extra": "mean: 1.8416187924530285 msec\nrounds: 106"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 348.6482846589274,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015075069085071453",
+            "extra": "mean: 2.8682200486896736 msec\nrounds: 267"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 678.0992326666429,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008624444340029038",
+            "extra": "mean: 1.4747104137951519 msec\nrounds: 377"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 621.9051382479873,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009303610112842109",
+            "extra": "mean: 1.6079622735023067 msec\nrounds: 117"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 739.2979606648615,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007998050539050353",
+            "extra": "mean: 1.3526345982351762 msec\nrounds: 453"
+          },
+          {
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+            "value": 211.6643127970385,
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+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 7.827946311590942,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008126120500574971",
+            "extra": "mean: 127.74742700001492 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 282.52579062403066,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001601984488521659",
+            "extra": "mean: 3.539499872883263 msec\nrounds: 118"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 189.95468738304362,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013664972116262267",
+            "extra": "mean: 5.264413391302631 msec\nrounds: 92"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 336.6879603860916,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012226656459635147",
+            "extra": "mean: 2.9701091742433134 msec\nrounds: 132"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 334.2230888738723,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008647314060589627",
+            "extra": "mean: 2.9920135181844834 msec\nrounds: 110"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 763.7650030694538,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000943253351662519",
+            "extra": "mean: 1.3093032490113505 msec\nrounds: 506"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 914.1419793150208,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000715657854650775",
+            "extra": "mean: 1.0939219756096463 msec\nrounds: 492"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 896.5616807567072,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007991276059834971",
+            "extra": "mean: 1.1153722286636094 msec\nrounds: 621"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 61.428376595319094,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00027724807228043355",
+            "extra": "mean: 16.279121399998076 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 320.6758159485163,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011719864656753138",
+            "extra": "mean: 3.1184141437112536 msec\nrounds: 167"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 308.7346744524685,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014567052335201782",
+            "extra": "mean: 3.2390271736515164 msec\nrounds: 167"
+          }
+        ]
       }
     ]
   }

From c77c4704f687e45a4f436c7b38a896c8690f213c Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 4 Sep 2024 15:12:45 +0000
Subject: [PATCH 103/150] add TiPg Benchmarks (pytest) benchmark result for
 b617fa9a45bce574ef247863d93208c8ea6f0e22

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 80b7ebdc..fa07c74f 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1725027935524,
+  "lastUpdate": 1725462765216,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -28228,6 +28228,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.2390271736515164 msec\nrounds: 167"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "b617fa9a45bce574ef247863d93208c8ea6f0e22",
+          "message": "Merge pull request #188 from developmentseed/feature/switch-to-pytest-postgresql\n\nswitch to pytest-postgresql",
+          "timestamp": "2024-09-04T17:06:40+02:00",
+          "tree_id": "2ffcc356045e0b893e92c962947acd92fb650717",
+          "url": "https://github.com/developmentseed/tipg/commit/b617fa9a45bce574ef247863d93208c8ea6f0e22"
+        },
+        "date": 1725462764732,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 497.39814686733297,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014547991493713005",
+            "extra": "mean: 2.010461852940361 msec\nrounds: 238"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 338.9855576937779,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010040997136155501",
+            "extra": "mean: 2.949978184331229 msec\nrounds: 217"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 420.7486614869765,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001834060338321955",
+            "extra": "mean: 2.376715820000186 msec\nrounds: 100"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 300.8435187325614,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012937529847718593",
+            "extra": "mean: 3.323987181817809 msec\nrounds: 198"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 533.526131568192,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004690853616864137",
+            "extra": "mean: 1.8743224386417636 msec\nrounds: 383"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 484.9763965249447,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008777523943752073",
+            "extra": "mean: 2.0619560192318866 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 675.1016787694106,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008367298388059625",
+            "extra": "mean: 1.4812583518127536 msec\nrounds: 469"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 177.01568353014787,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000423904049108239",
+            "extra": "mean: 5.649216951048793 msec\nrounds: 143"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 167.01133259964027,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004496244269067597",
+            "extra": "mean: 5.987617633093205 msec\nrounds: 139"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 110.16000649778219,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00024104636499660946",
+            "extra": "mean: 9.077704620688568 msec\nrounds: 87"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 71.23824636833852,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010021116298326783",
+            "extra": "mean: 14.037403375000046 msec\nrounds: 72"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 38.363367710207555,
+            "unit": "iter/sec",
+            "range": "stddev: 0.016447566551609113",
+            "extra": "mean: 26.066533249997356 msec\nrounds: 44"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 34.93993338652336,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013160619274726273",
+            "extra": "mean: 28.620546837839964 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 189.47889363862504,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002915637236030242",
+            "extra": "mean: 5.277632673469185 msec\nrounds: 147"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 151.2250609272902,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00031641741675055886",
+            "extra": "mean: 6.612660585938235 msec\nrounds: 128"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 71.00156302840414,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0011476160285063962",
+            "extra": "mean: 14.084196985916359 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 46.97059931699743,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003056088738823749",
+            "extra": "mean: 21.289913574471388 msec\nrounds: 47"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 25.023452605367492,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0025834350492620266",
+            "extra": "mean: 39.962511000000916 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 21.167425525446447,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002410268310070886",
+            "extra": "mean: 47.24240077272735 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 179.1139694922261,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000590918182972544",
+            "extra": "mean: 5.5830374528291715 msec\nrounds: 53"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 151.6668120077298,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002076572844317047",
+            "extra": "mean: 6.593400274999084 msec\nrounds: 120"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 89.97114002940768,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002805493137321321",
+            "extra": "mean: 11.114675213331111 msec\nrounds: 75"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 55.038340920181504,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008687682287535189",
+            "extra": "mean: 18.169152326924866 msec\nrounds: 52"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 29.985939808345595,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013593582299068225",
+            "extra": "mean: 33.34896309375246 msec\nrounds: 32"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 26.88361850351059,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00048694579458065216",
+            "extra": "mean: 37.19737355555076 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.251048494986298,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008639351885028764",
+            "extra": "mean: 799.3295256000067 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 28.049708650636404,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003362621960458943",
+            "extra": "mean: 35.650994185186 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8282069244767926,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007671405737285104",
+            "extra": "mean: 1.207427721800002 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 18.358146603741137,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004912912836775413",
+            "extra": "mean: 54.47172972222663 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.80186017949757,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003013161907552094",
+            "extra": "mean: 113.6123477999945 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.757496437884652,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003301300658669529",
+            "extra": "mean: 173.68660333334182 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 250.8660640624774,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012573137130582844",
+            "extra": "mean: 3.9861908135607895 msec\nrounds: 118"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 169.74646094521975,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017185779429729748",
+            "extra": "mean: 5.891139022466678 msec\nrounds: 89"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 315.038521335197,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013373183727287288",
+            "extra": "mean: 3.1742149999999927 msec\nrounds: 124"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 310.4376371715772,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014133081869960993",
+            "extra": "mean: 3.221258894736741 msec\nrounds: 114"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 687.124478012459,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010918227455369166",
+            "extra": "mean: 1.455340381545639 msec\nrounds: 401"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 743.6114488491183,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007398710181767776",
+            "extra": "mean: 1.3447883320619822 msec\nrounds: 524"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 702.6658911154038,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004141808030169169",
+            "extra": "mean: 1.4231514758922073 msec\nrounds: 477"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 64.53359140582732,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009937713540970001",
+            "extra": "mean: 15.495805799980644 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 297.54437240320067,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007131407761529414",
+            "extra": "mean: 3.3608432648993465 msec\nrounds: 151"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 292.3104794643422,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009713149929133354",
+            "extra": "mean: 3.4210200121203176 msec\nrounds: 165"
+          }
+        ]
       }
     ]
   }

From f837e2adddd48bb39c60c51c83b81ed5c295ba7f Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 16 Sep 2024 15:49:51 +0000
Subject: [PATCH 104/150] add TiPg Benchmarks (pytest) benchmark result for
 aeed49b7f8b5be8cc07e0a5146662e8dea27cf6e

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index fa07c74f..00748c9b 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1725462765216,
+  "lastUpdate": 1726501791032,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -28539,6 +28539,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.4210200121203176 msec\nrounds: 165"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "aeed49b7f8b5be8cc07e0a5146662e8dea27cf6e",
+          "message": "Merge pull request #190 from bmcandr/fix/protomaps-leaflet-source\n\nUse non-minified protomaps-leaflet@latest",
+          "timestamp": "2024-09-16T17:43:57+02:00",
+          "tree_id": "6950e08f9762b124efa01bc19d620afc9203b63e",
+          "url": "https://github.com/developmentseed/tipg/commit/aeed49b7f8b5be8cc07e0a5146662e8dea27cf6e"
+        },
+        "date": 1726501790588,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 521.0238036694436,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011652205546447197",
+            "extra": "mean: 1.91929810683743 msec\nrounds: 234"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 347.9830892006587,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014021497170893515",
+            "extra": "mean: 2.873702863829014 msec\nrounds: 235"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 430.262130184854,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009402467074725505",
+            "extra": "mean: 2.3241645728160387 msec\nrounds: 103"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 308.58039008327665,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015584714294797727",
+            "extra": "mean: 3.240646626087062 msec\nrounds: 230"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 602.9594601957375,
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+            "extra": "mean: 52.70918194737293 msec\nrounds: 19"
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+          {
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+            "unit": "iter/sec",
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+            "extra": "mean: 792.2601381999925 msec\nrounds: 5"
+          },
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+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
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+            "unit": "iter/sec",
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+          },
+          {
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 18.063955325447413,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008097926006159629",
+            "extra": "mean: 55.358861444440144 msec\nrounds: 18"
+          },
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+          },
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+          },
+          {
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+            "unit": "iter/sec",
+            "range": "stddev: 0.00021473406871069087",
+            "extra": "mean: 3.8883216637926883 msec\nrounds: 116"
+          },
+          {
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+            "value": 162.07477976365988,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002644895656350835",
+            "extra": "mean: 6.169991416667149 msec\nrounds: 84"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 330.995290941854,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001419615181082109",
+            "extra": "mean: 3.0211910180186523 msec\nrounds: 111"
+          },
+          {
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+            "value": 304.80804237450144,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015073876239968123",
+            "extra": "mean: 3.280753329898537 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 661.0921090664197,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006332983661382318",
+            "extra": "mean: 1.5126485194509114 msec\nrounds: 437"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 827.3931762359559,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008307585193233434",
+            "extra": "mean: 1.2086152372554981 msec\nrounds: 510"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 824.6607112778858,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009303015195664027",
+            "extra": "mean: 1.2126199130432809 msec\nrounds: 506"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 60.842215424694615,
+            "unit": "iter/sec",
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+            "extra": "mean: 16.435956400005125 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 296.5595350351822,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019319096010815095",
+            "extra": "mean: 3.3720042077937755 msec\nrounds: 154"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 291.27154213240226,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000156880651489437",
+            "extra": "mean: 3.433222458599933 msec\nrounds: 157"
+          }
+        ]
       }
     ]
   }

From 43406ac30d0ae2cdf46365b81e7232d314674805 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 16 Sep 2024 16:04:59 +0000
Subject: [PATCH 105/150] add TiPg Benchmarks (pytest) benchmark result for
 ea1ef949873abb7886811dce85a47913f38e3e38

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 00748c9b..987bc756 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1726501791032,
+  "lastUpdate": 1726502699464,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -28850,6 +28850,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.433222458599933 msec\nrounds: 157"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "ea1ef949873abb7886811dce85a47913f38e3e38",
+          "message": "Bump version: 0.7.2 → 0.7.3",
+          "timestamp": "2024-09-16T17:56:09+02:00",
+          "tree_id": "14a0e58a2840987e9e49bc357b632f1228bdc7c9",
+          "url": "https://github.com/developmentseed/tipg/commit/ea1ef949873abb7886811dce85a47913f38e3e38"
+        },
+        "date": 1726502699005,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 524.6889074794863,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009791957614920748",
+            "extra": "mean: 1.905891254312627 msec\nrounds: 232"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 330.9552160170208,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008270311272392032",
+            "extra": "mean: 3.0215568500016348 msec\nrounds: 240"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 438.55860765437603,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009162296621634208",
+            "extra": "mean: 2.2801969509810434 msec\nrounds: 102"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 313.9419072972253,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011777327513057621",
+            "extra": "mean: 3.1853026842104497 msec\nrounds: 228"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 635.5349483998475,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009153766617482594",
+            "extra": "mean: 1.5734775916223083 msec\nrounds: 382"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 516.4667535205068,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011477943549348186",
+            "extra": "mean: 1.9362330550485165 msec\nrounds: 109"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 731.5553160511669,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007591103791317734",
+            "extra": "mean: 1.366950629786767 msec\nrounds: 470"
+          },
+          {
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+            "value": 230.83216627154079,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015746134262574328",
+            "extra": "mean: 4.332151866666815 msec\nrounds: 165"
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+          {
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+            "value": 0.836044309841449,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009808663932817005",
+            "extra": "mean: 1.1961088523999934 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 18.993810126213393,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005146845224442513",
+            "extra": "mean: 52.64873099999553 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 9.026003395885214,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0014375994538847968",
+            "extra": "mean: 110.79100640000661 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.927055133835459,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005825710910957347",
+            "extra": "mean: 168.7178501666627 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 260.6485734392088,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001842509049579622",
+            "extra": "mean: 3.836583438018434 msec\nrounds: 121"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 172.69583363603365,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020306733790484722",
+            "extra": "mean: 5.790527651683579 msec\nrounds: 89"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 356.1641539051313,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011619615047045798",
+            "extra": "mean: 2.8076941181070185 msec\nrounds: 127"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 257.96974502319114,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006852457676298652",
+            "extra": "mean: 3.87642357017526 msec\nrounds: 114"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 734.07937820453,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005338828013190399",
+            "extra": "mean: 1.3622505000016207 msec\nrounds: 448"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 740.1469443542892,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0032422345715524743",
+            "extra": "mean: 1.3510830621241152 msec\nrounds: 499"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 828.4079805236955,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008497454351138191",
+            "extra": "mean: 1.2071346770076128 msec\nrounds: 548"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 64.92282993264706,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016301591250627928",
+            "extra": "mean: 15.402902200003155 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 305.4957100162693,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006177854176703457",
+            "extra": "mean: 3.2733683885339815 msec\nrounds: 157"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 298.51277482901213,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013346569438001715",
+            "extra": "mean: 3.349940385542291 msec\nrounds: 166"
+          }
+        ]
       }
     ]
   }

From c6097d61f49908f443808affda2a72938c7e66cf Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 17 Oct 2024 19:54:13 +0000
Subject: [PATCH 106/150] add TiPg Benchmarks (pytest) benchmark result for
 4474da838256c8e965ca248a78116421b82f2b33

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 987bc756..b4190229 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1726502699464,
+  "lastUpdate": 1729194853282,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -29161,6 +29161,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.349940385542291 msec\nrounds: 166"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "4474da838256c8e965ca248a78116421b82f2b33",
+          "message": "Merge pull request #193 from developmentseed/feature/update-starlette-cramjam-and-ruff\n\nupdate starlette-cramjam and update ruff",
+          "timestamp": "2024-10-17T21:48:58+02:00",
+          "tree_id": "d73cf942ce332123ac706bd18aafe7fded43d5bc",
+          "url": "https://github.com/developmentseed/tipg/commit/4474da838256c8e965ca248a78116421b82f2b33"
+        },
+        "date": 1729194852215,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 489.6124733113733,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011251661679080955",
+            "extra": "mean: 2.0424316260505915 msec\nrounds: 238"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 321.8229189743315,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008899387299518949",
+            "extra": "mean: 3.107298893400938 msec\nrounds: 197"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 434.43446013141863,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009026158796102336",
+            "extra": "mean: 2.3018431818173335 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 306.62056052945104,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013040341863908482",
+            "extra": "mean: 3.2613598979574943 msec\nrounds: 196"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 609.286791096844,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007428012649160978",
+            "extra": "mean: 1.6412632189182867 msec\nrounds: 370"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 487.1526695574976,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007374041760013665",
+            "extra": "mean: 2.0527445757576253 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 685.6760917726291,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007271292370644295",
+            "extra": "mean: 1.4584145662929153 msec\nrounds: 445"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 212.1280573864888,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001888705835161529",
+            "extra": "mean: 4.714133586666662 msec\nrounds: 150"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 191.45848731827473,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003140464135515436",
+            "extra": "mean: 5.223064352000392 msec\nrounds: 125"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 121.95176482499512,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003141733015601559",
+            "extra": "mean: 8.199963333331285 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 81.90420398935952,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0056712635099156455",
+            "extra": "mean: 12.209385492958502 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 42.89470924421849,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012520030315665282",
+            "extra": "mean: 23.312898434782696 msec\nrounds: 46"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 35.93281331359593,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013672218781675363",
+            "extra": "mean: 27.829716289473755 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 200.14614883867537,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00023583789796765526",
+            "extra": "mean: 4.996348947018882 msec\nrounds: 151"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 155.67356306501497,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00031642239302425454",
+            "extra": "mean: 6.423698284482404 msec\nrounds: 116"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 77.09195315247393,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009332095134776324",
+            "extra": "mean: 12.971522436617748 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 45.17524100750535,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0017701731268232053",
+            "extra": "mean: 22.13601914893739 msec\nrounds: 47"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 27.08070326445712,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010862010580395998",
+            "extra": "mean: 36.92666288000282 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 20.849388212096652,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0036613264819408786",
+            "extra": "mean: 47.963038043476395 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 181.6593266350557,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001087080064893133",
+            "extra": "mean: 5.504809571428991 msec\nrounds: 56"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 152.5120075267103,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005408528085689628",
+            "extra": "mean: 6.556860775862939 msec\nrounds: 116"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 92.30612175545208,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007447685043513696",
+            "extra": "mean: 10.833517658225466 msec\nrounds: 79"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 55.25287794610042,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010434104376289036",
+            "extra": "mean: 18.09860476363796 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 30.68577458043186,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014054135199518819",
+            "extra": "mean: 32.58839034285594 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 25.050628483229488,
+            "unit": "iter/sec",
+            "range": "stddev: 0.015462301248778393",
+            "extra": "mean: 39.919158142857164 msec\nrounds: 28"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.252038325593277,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0025600277924462444",
+            "extra": "mean: 798.6975954000059 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 28.20673348538598,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003433330992489469",
+            "extra": "mean: 35.45252769230099 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8327557659951398,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010018010706047211",
+            "extra": "mean: 1.2008322737999948 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 19.002352227284188,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00031221284098542743",
+            "extra": "mean: 52.62506388888887 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.97034011937992,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0022831619452211367",
+            "extra": "mean: 111.47849320000205 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.846526156837352,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0052532723892452435",
+            "extra": "mean: 171.04173883332882 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 251.35704943078707,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013426684551361625",
+            "extra": "mean: 3.9784044341090063 msec\nrounds: 129"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 167.54423970111787,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017104198681753546",
+            "extra": "mean: 5.968572848484077 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 318.0941782467571,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012518659204133501",
+            "extra": "mean: 3.143723049292226 msec\nrounds: 142"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 295.8747484300365,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001251037932271334",
+            "extra": "mean: 3.3798085348823315 msec\nrounds: 129"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 663.2253494008171,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002932683696003474",
+            "extra": "mean: 1.5077831402304478 msec\nrounds: 435"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 770.8195079333127,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000838668463889776",
+            "extra": "mean: 1.2973205655901936 msec\nrounds: 465"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 846.2795119804316,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005433693912613824",
+            "extra": "mean: 1.1816426911480316 msec\nrounds: 531"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 303.6823304674525,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00043319603246244707",
+            "extra": "mean: 3.2929146666541933 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 449.35422332676325,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010801954516910413",
+            "extra": "mean: 2.2254158258412895 msec\nrounds: 178"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 429.5471816540572,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012020401685285321",
+            "extra": "mean: 2.3280329675294347 msec\nrounds: 154"
+          }
+        ]
       }
     ]
   }

From 4f529275c4108de9655858c61da8faa7b897e9fd Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 17 Oct 2024 21:24:15 +0000
Subject: [PATCH 107/150] add TiPg Benchmarks (pytest) benchmark result for
 27c5b69615c335fe2de8ff9b165eb9f7a0d27f1b

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index b4190229..8a9e3430 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1729194853282,
+  "lastUpdate": 1729200255376,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -29472,6 +29472,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.3280329675294347 msec\nrounds: 154"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "27c5b69615c335fe2de8ff9b165eb9f7a0d27f1b",
+          "message": "Merge pull request #194 from developmentseed/feature/update-morecantile\n\nupdate morecantile requirement",
+          "timestamp": "2024-10-17T23:18:44+02:00",
+          "tree_id": "0fcc64fc170e8fdc8f05b27ae68de0362fe07b07",
+          "url": "https://github.com/developmentseed/tipg/commit/27c5b69615c335fe2de8ff9b165eb9f7a0d27f1b"
+        },
+        "date": 1729200253495,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 465.6518613537022,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013101743525797588",
+            "extra": "mean: 2.147527118420375 msec\nrounds: 228"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 329.14918106348745,
+            "unit": "iter/sec",
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+          },
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+          },
+          {
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+          },
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+            "value": 18.317029647136206,
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+          },
+          {
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+            "extra": "mean: 117.07615280000141 msec\nrounds: 5"
+          },
+          {
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+            "extra": "mean: 181.63462820000404 msec\nrounds: 5"
+          },
+          {
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+            "extra": "mean: 4.161628975411446 msec\nrounds: 122"
+          },
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+            "value": 153.20203614916454,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000561637188031039",
+            "extra": "mean: 6.527328390246419 msec\nrounds: 82"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 319.51786282816613,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010612274384452239",
+            "extra": "mean: 3.1297154755250447 msec\nrounds: 143"
+          },
+          {
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+            "value": 281.04927255310093,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004515297892660237",
+            "extra": "mean: 3.5580949593493854 msec\nrounds: 123"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 564.4421987042888,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004152127650950088",
+            "extra": "mean: 1.771660592166143 msec\nrounds: 434"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 816.2338037056435,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011277552285959803",
+            "extra": "mean: 1.2251391641219356 msec\nrounds: 524"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 821.7830040854601,
+            "unit": "iter/sec",
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+            "extra": "mean: 1.216866246963665 msec\nrounds: 494"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 323.01990170618893,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012643994401495825",
+            "extra": "mean: 3.0957844848506446 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 419.8681759023449,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019313757363784953",
+            "extra": "mean: 2.3816999177203306 msec\nrounds: 158"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 409.91708422548083,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00037308538212754445",
+            "extra": "mean: 2.4395177426904597 msec\nrounds: 171"
+          }
+        ]
       }
     ]
   }

From a259b681d1283b4d1d2aad80840aeb858b426a1f Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 17 Oct 2024 21:32:10 +0000
Subject: [PATCH 108/150] add TiPg Benchmarks (pytest) benchmark result for
 151344d2127765ba862524e2adaf809e7c26bbcf

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 8a9e3430..d118cbb2 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1729200255376,
+  "lastUpdate": 1729200730521,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -29783,6 +29783,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.4395177426904597 msec\nrounds: 171"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "151344d2127765ba862524e2adaf809e7c26bbcf",
+          "message": "Bump version: 0.7.3 → 0.8.0",
+          "timestamp": "2024-10-17T23:26:14+02:00",
+          "tree_id": "5dbf279527852a140b2da5807957c94fd362fea4",
+          "url": "https://github.com/developmentseed/tipg/commit/151344d2127765ba862524e2adaf809e7c26bbcf"
+        },
+        "date": 1729200730018,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 495.9117511658377,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010942480434781733",
+            "extra": "mean: 2.0164878078591655 msec\nrounds: 229"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 334.2478302811375,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015749339225911327",
+            "extra": "mean: 2.9917920459166334 msec\nrounds: 196"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 425.0538065526294,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007574922194818636",
+            "extra": "mean: 2.3526433232310833 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 301.2018730911746,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001293692965070784",
+            "extra": "mean: 3.32003247435748 msec\nrounds: 234"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 618.6369923951349,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007792118493101493",
+            "extra": "mean: 1.6164568435010127 msec\nrounds: 377"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 486.6794039475005,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009906506615365622",
+            "extra": "mean: 2.054740742856406 msec\nrounds: 105"
+          },
+          {
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+            "value": 706.6251288858648,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009511565966978843",
+            "extra": "mean: 1.4151775235855242 msec\nrounds: 424"
+          },
+          {
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+            "value": 217.5159477150073,
+            "unit": "iter/sec",
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+            "extra": "mean: 4.59736405769298 msec\nrounds: 156"
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.2614787702494543,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0024884264764618363",
+            "extra": "mean: 792.7204353999969 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 26.029234318052307,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01569357971898333",
+            "extra": "mean: 38.4183410000063 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8184424897338619,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004633659107457241",
+            "extra": "mean: 1.2218329480000194 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 18.06171528959113,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010079479724629675",
+            "extra": "mean: 55.365727117639516 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.755487970504722,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0018525909677320478",
+            "extra": "mean: 114.21407959999215 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.864472331771029,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0041688019345959846",
+            "extra": "mean: 170.51832516669188 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 257.34168444563437,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010338880880529182",
+            "extra": "mean: 3.885884256000736 msec\nrounds: 125"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 168.58974145331325,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019240365151285442",
+            "extra": "mean: 5.931559010528082 msec\nrounds: 95"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 319.17656043774525,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013795345307992242",
+            "extra": "mean: 3.1330621478861636 msec\nrounds: 142"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 289.38902041224475,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011437397531747547",
+            "extra": "mean: 3.455556118112101 msec\nrounds: 127"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 675.3498276812733,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000862077111507002",
+            "extra": "mean: 1.480714081816488 msec\nrounds: 440"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 676.305108711439,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00378948635860842",
+            "extra": "mean: 1.478622573035557 msec\nrounds: 445"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 745.6573197501923,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006258410327925156",
+            "extra": "mean: 1.3410986166340013 msec\nrounds: 493"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 171.9735729487939,
+            "unit": "iter/sec",
+            "range": "stddev: 0.016012017634204925",
+            "extra": "mean: 5.814846914285812 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 449.3935037124119,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001094499691707759",
+            "extra": "mean: 2.2252213076937295 msec\nrounds: 169"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 415.6837457831742,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016633129600089",
+            "extra": "mean: 2.4056750116989476 msec\nrounds: 171"
+          }
+        ]
       }
     ]
   }

From 56681e18ebd1169225e513f1fcdcaa2d29097569 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 12 Dec 2024 10:42:45 +0000
Subject: [PATCH 109/150] add TiPg Benchmarks (pytest) benchmark result for
 26b408699b33255fc8eef27d69c35107d5e9483b

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index d118cbb2..8c438855 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1729200730521,
+  "lastUpdate": 1734000165335,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -30094,6 +30094,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.4056750116989476 msec\nrounds: 171"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "26b408699b33255fc8eef27d69c35107d5e9483b",
+          "message": "Merge pull request #196 from developmentseed/dependabot/github_actions/all-d109cd9e8b\n\nBump codecov/codecov-action from 4 to 5 in the all group",
+          "timestamp": "2024-12-12T11:37:02+01:00",
+          "tree_id": "500ae4e298c9ac51c051d0f7e91c799cce54cb32",
+          "url": "https://github.com/developmentseed/tipg/commit/26b408699b33255fc8eef27d69c35107d5e9483b"
+        },
+        "date": 1734000164228,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 478.37627578365806,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011010105482617434",
+            "extra": "mean: 2.090404668086513 msec\nrounds: 235"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 320.76076682284804,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009547588832349635",
+            "extra": "mean: 3.117588257145821 msec\nrounds: 245"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 421.9108622252853,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008802639191335019",
+            "extra": "mean: 2.3701688900013096 msec\nrounds: 100"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 297.4422145852239,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000148197554991004",
+            "extra": "mean: 3.3619975610875423 msec\nrounds: 221"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 607.3052371382148,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000054103516092617386",
+            "extra": "mean: 1.6466184364097833 msec\nrounds: 401"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 341.45789090897716,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008661271366648241",
+            "extra": "mean: 2.928618803735806 msec\nrounds: 107"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 706.2015868295852,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007775017485593418",
+            "extra": "mean: 1.4160262716052376 msec\nrounds: 486"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 207.34218236521994,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00026056448474204",
+            "extra": "mean: 4.822945281045437 msec\nrounds: 153"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 184.65127313844138,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021715322554585685",
+            "extra": "mean: 5.41561389208649 msec\nrounds: 139"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 103.71293919744967,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008176171161255661",
+            "extra": "mean: 9.641998459769718 msec\nrounds: 87"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 70.4195769278187,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01008115797824752",
+            "extra": "mean: 14.200596533333584 msec\nrounds: 75"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 38.14526900072924,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01592420313247187",
+            "extra": "mean: 26.21557079544733 msec\nrounds: 44"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 32.01118450569995,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01683666927877224",
+            "extra": "mean: 31.239081447359087 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 195.79399210189436,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00034406497217212085",
+            "extra": "mean: 5.107409013242775 msec\nrounds: 151"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 145.38891355063404,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000689247748679982",
+            "extra": "mean: 6.878103533332572 msec\nrounds: 120"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 73.38889029828142,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00098242612840099",
+            "extra": "mean: 13.62604061644215 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 44.183703561985126,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012126622257591204",
+            "extra": "mean: 22.632779042551384 msec\nrounds: 47"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 24.730116246534898,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002471069247531229",
+            "extra": "mean: 40.43652646154127 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 21.543794847999994,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009309106169295945",
+            "extra": "mean: 46.41707772727118 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 177.8683881747122,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003442435245296739",
+            "extra": "mean: 5.622134490912147 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 151.10159636669715,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00025425878710538493",
+            "extra": "mean: 6.618063766667129 msec\nrounds: 120"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 86.92207334789983,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00023218966447341961",
+            "extra": "mean: 11.504557605265195 msec\nrounds: 76"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 53.00131061640438,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008405297597612195",
+            "extra": "mean: 18.867457962265767 msec\nrounds: 53"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 28.005704685030267,
+            "unit": "iter/sec",
+            "range": "stddev: 0.017068749795367617",
+            "extra": "mean: 35.70701081249794 msec\nrounds: 32"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 23.15037784074258,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01876781145132101",
+            "extra": "mean: 43.195839259266435 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.2449743411137135,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007155226745540721",
+            "extra": "mean: 803.2294055999841 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 27.255385080986027,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000369361256035578",
+            "extra": "mean: 36.68999711538189 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8132019523370109,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01186836842838822",
+            "extra": "mean: 1.229706836199989 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 17.793694268054022,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00042111743662366435",
+            "extra": "mean: 56.19968427778114 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.724611770174635,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0031609668276391042",
+            "extra": "mean: 114.61828060000698 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.774474602931877,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004384357747504212",
+            "extra": "mean: 173.17592833333606 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 256.4291927197986,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001619789411860309",
+            "extra": "mean: 3.899712000001126 msec\nrounds: 127"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 144.75920730555893,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008352671830444003",
+            "extra": "mean: 6.908023459186204 msec\nrounds: 98"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 316.34159834726427,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011077886363081701",
+            "extra": "mean: 3.161139746478265 msec\nrounds: 142"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 282.42885186991293,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016399295721298654",
+            "extra": "mean: 3.5407147441883917 msec\nrounds: 129"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 674.2717180137562,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000763040781521968",
+            "extra": "mean: 1.4830816320544506 msec\nrounds: 443"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 838.0658725717634,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008050004567955491",
+            "extra": "mean: 1.1932236268389156 msec\nrounds: 544"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 805.2422597392026,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009567203246665723",
+            "extra": "mean: 1.2418622941173934 msec\nrounds: 527"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 327.4761357148251,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011966971023455455",
+            "extra": "mean: 3.053657628569389 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 444.15649638936617,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012656358177257323",
+            "extra": "mean: 2.251458682084339 msec\nrounds: 173"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 422.71474546703365,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010774347558754762",
+            "extra": "mean: 2.365661502759163 msec\nrounds: 181"
+          }
+        ]
       }
     ]
   }

From 6459ba01a2ad52176472a85100d12a99d0c8d430 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Fri, 17 Jan 2025 10:07:10 +0000
Subject: [PATCH 110/150] add TiPg Benchmarks (pytest) benchmark result for
 14373c40325ad96714da76397bd5e004877b022c

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 8c438855..2604f39e 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1734000165335,
+  "lastUpdate": 1737108429964,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -30405,6 +30405,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.365661502759163 msec\nrounds: 181"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "14373c40325ad96714da76397bd5e004877b022c",
+          "message": "Merge pull request #199 from giorgiobasile/features_serialization_default\n\nFallback to string for UUID columns",
+          "timestamp": "2025-01-17T11:00:03+01:00",
+          "tree_id": "081cb2094f013d6730e5660d448300dd8ddcd008",
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+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
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+            "extra": "mean: 3.270331843140184 msec\nrounds: 102"
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+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 33.013458544772995,
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+          {
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+            "extra": "mean: 23.10041960465419 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 22.924020277828635,
+            "unit": "iter/sec",
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+            "extra": "mean: 51.302765649998605 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 147.42439976843443,
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+            "extra": "mean: 6.783137673076785 msec\nrounds: 52"
+          },
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+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 122.52236746308901,
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+            "extra": "mean: 14.022346458332102 msec\nrounds: 72"
+          },
+          {
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+            "extra": "mean: 36.45993541379437 msec\nrounds: 29"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 20.757334784576233,
+            "unit": "iter/sec",
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+            "extra": "mean: 48.175741749998245 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.21181673119623,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002177195138299037",
+            "extra": "mean: 825.2072893999923 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 26.074813027837557,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017432220330920853",
+            "extra": "mean: 38.3511858333326 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8002930879443507,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011976369462622706",
+            "extra": "mean: 1.2495422178000068 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 17.09314004148023,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004673950638875154",
+            "extra": "mean: 58.50300164705151 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.579266973759836,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006020168457180628",
+            "extra": "mean: 116.56007477778176 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.848519969880886,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009168877069108697",
+            "extra": "mean: 170.98342916667283 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 231.61498843380133,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002448455495901772",
+            "extra": "mean: 4.317509876032109 msec\nrounds: 121"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 153.31746955827688,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002196061626735982",
+            "extra": "mean: 6.522413935483679 msec\nrounds: 93"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 306.06167610622714,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013783146451431567",
+            "extra": "mean: 3.2673153095225236 msec\nrounds: 126"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 274.543782303585,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014612796981980106",
+            "extra": "mean: 3.642406291664694 msec\nrounds: 120"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 652.0189141828336,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000890227282565376",
+            "extra": "mean: 1.5336978395071355 msec\nrounds: 405"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 819.5676763586908,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008349123411534734",
+            "extra": "mean: 1.2201554903226093 msec\nrounds: 465"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 752.6231037246653,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012325912695749198",
+            "extra": "mean: 1.3286862907225254 msec\nrounds: 485"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 307.9553805493029,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003262122094903809",
+            "extra": "mean: 3.247223666676291 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 434.33108986937214,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000995377229698701",
+            "extra": "mean: 2.302391017646829 msec\nrounds: 170"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 423.89202117738034,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015863273535157642",
+            "extra": "mean: 2.3590913488356122 msec\nrounds: 172"
+          }
+        ]
       }
     ]
   }

From dc0da22194067b572bec2c7b1de7e739c5c67d1f Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Fri, 17 Jan 2025 10:55:11 +0000
Subject: [PATCH 111/150] add TiPg Benchmarks (pytest) benchmark result for
 d9ab851a67c7ad490f8be4409b05b905263bbbb1

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 2604f39e..569af1df 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1737108429964,
+  "lastUpdate": 1737111311061,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -30716,6 +30716,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.3590913488356122 msec\nrounds: 172"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "d9ab851a67c7ad490f8be4409b05b905263bbbb1",
+          "message": "Merge pull request #203 from developmentseed/feature/docker-and-python3.13\n\nremove python 3.8, add python 3.13 and unify docker images",
+          "timestamp": "2025-01-17T11:48:43+01:00",
+          "tree_id": "8699e6e99b72e52a2bd5248acdf6541c4138f2d5",
+          "url": "https://github.com/developmentseed/tipg/commit/d9ab851a67c7ad490f8be4409b05b905263bbbb1"
+        },
+        "date": 1737111310527,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 513.8867451481619,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007031853944369181",
+            "extra": "mean: 1.9459540636948782 msec\nrounds: 157"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 334.1367819573211,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009830561847052906",
+            "extra": "mean: 2.9927863497761495 msec\nrounds: 223"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 418.0725005538008,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007150703187598436",
+            "extra": "mean: 2.3919296262618266 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 292.1029833270499,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021797966149738517",
+            "extra": "mean: 3.4234501428571886 msec\nrounds: 210"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 623.0923698512034,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009946233155632502",
+            "extra": "mean: 1.6048984843752834 msec\nrounds: 384"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 460.77469530581294,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000747145129682342",
+            "extra": "mean: 2.1702580679616252 msec\nrounds: 103"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 743.010747879185,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005914153742720119",
+            "extra": "mean: 1.3458755514026588 msec\nrounds: 214"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 224.20934983030475,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011349199845356862",
+            "extra": "mean: 4.460117300000472 msec\nrounds: 150"
+          },
+          {
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+            "value": 189.05859183867545,
+            "unit": "iter/sec",
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+            "extra": "mean: 5.2893655362317755 msec\nrounds: 138"
+          },
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+            "value": 119.45162870243628,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000457020049922845",
+            "extra": "mean: 8.371589494950138 msec\nrounds: 99"
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+          {
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+          },
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+            "extra": "mean: 12.72724793670896 msec\nrounds: 79"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 54.88894522049781,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008889582142455022",
+            "extra": "mean: 18.218604784311985 msec\nrounds: 51"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 32.93409080556655,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000604289560890392",
+            "extra": "mean: 30.363674099999116 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 26.918578728872905,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005708432500094233",
+            "extra": "mean: 37.14906385185183 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.2000583048807494,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005552124255310733",
+            "extra": "mean: 833.2928457999969 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 26.949691551185232,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007880209264851092",
+            "extra": "mean: 37.106176080001205 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7969819416022066,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01312274393424498",
+            "extra": "mean: 1.2547335740000052 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 16.120286121717946,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0238684042326782",
+            "extra": "mean: 62.033638388884235 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.71436176548913,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0059240193078302856",
+            "extra": "mean: 114.75309688888855 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.218823046711709,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007236001915599104",
+            "extra": "mean: 160.8021312857204 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 244.70246816167352,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00030470344897900976",
+            "extra": "mean: 4.086595478633692 msec\nrounds: 117"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 166.9163843648695,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011884548849336261",
+            "extra": "mean: 5.991023612242033 msec\nrounds: 98"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 308.407798572889,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003862888728793755",
+            "extra": "mean: 3.2424601603051233 msec\nrounds: 131"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 303.89366128451445,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009038332444782659",
+            "extra": "mean: 3.2906247394998136 msec\nrounds: 119"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 669.5790149616099,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007004941221232124",
+            "extra": "mean: 1.4934757178095475 msec\nrounds: 365"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 843.3737675149728,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001041423974336293",
+            "extra": "mean: 1.185713901140809 msec\nrounds: 526"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 756.6440529547654,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006006980509264866",
+            "extra": "mean: 1.3216254011313602 msec\nrounds: 177"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 348.4321906443333,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008391379340728516",
+            "extra": "mean: 2.8699988888821215 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 476.4909456106981,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007822739709854236",
+            "extra": "mean: 2.098675765430008 msec\nrounds: 162"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 341.28352253724705,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01032667197873756",
+            "extra": "mean: 2.930115091890678 msec\nrounds: 185"
+          }
+        ]
       }
     ]
   }

From c2d31d679279ab3c8fa5520bcf6c284763011596 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Fri, 17 Jan 2025 12:59:20 +0000
Subject: [PATCH 112/150] add TiPg Benchmarks (pytest) benchmark result for
 1fc8daa595dee9c06d5404a0bf73e130a653588f

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 569af1df..c5f2ae6d 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1737111311061,
+  "lastUpdate": 1737118760096,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -31027,6 +31027,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.930115091890678 msec\nrounds: 185"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "1fc8daa595dee9c06d5404a0bf73e130a653588f",
+          "message": "Bump version: 0.8.0 → 0.9.0",
+          "timestamp": "2025-01-17T13:52:42+01:00",
+          "tree_id": "4074859b0b275635141e1ba92b69c52bd3db8b5a",
+          "url": "https://github.com/developmentseed/tipg/commit/1fc8daa595dee9c06d5404a0bf73e130a653588f"
+        },
+        "date": 1737118759608,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 467.28710375067266,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001470717627739434",
+            "extra": "mean: 2.1400119797304815 msec\nrounds: 148"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 338.7297222286372,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011907755195821356",
+            "extra": "mean: 2.9522062410720955 msec\nrounds: 224"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 409.49174795144415,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00004726321543841278",
+            "extra": "mean: 2.442051653061824 msec\nrounds: 98"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 297.2482671785748,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019463837801871606",
+            "extra": "mean: 3.364191184331582 msec\nrounds: 217"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 636.8598324768292,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000671944947043476",
+            "extra": "mean: 1.570204225490046 msec\nrounds: 408"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 473.15575158338424,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008357468614194568",
+            "extra": "mean: 2.1134689722222895 msec\nrounds: 108"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 687.3787657381685,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005151998556533271",
+            "extra": "mean: 1.4548019954123999 msec\nrounds: 218"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 213.5259812185341,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002567412950403328",
+            "extra": "mean: 4.683270833335011 msec\nrounds: 156"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 188.1345636716708,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012025285233360162",
+            "extra": "mean: 5.315344402877415 msec\nrounds: 139"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 124.86589569492774,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002799382776946558",
+            "extra": "mean: 8.008591893203564 msec\nrounds: 103"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 73.13006137537417,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014543925592111172",
+            "extra": "mean: 13.674267205479746 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 43.94643071106998,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008781226235673673",
+            "extra": "mean: 22.754976543478488 msec\nrounds: 46"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 38.45399268081804,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009166426387922097",
+            "extra": "mean: 26.005101948719847 msec\nrounds: 39"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 206.57663745561794,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00030541118295290354",
+            "extra": "mean: 4.840818460000567 msec\nrounds: 150"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 160.44657935891846,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001429808118058187",
+            "extra": "mean: 6.232604047999075 msec\nrounds: 125"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 74.59850364554707,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009437827051039864",
+            "extra": "mean: 13.405094621622373 msec\nrounds: 74"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 48.64400675285815,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006901665724830677",
+            "extra": "mean: 20.557517086958374 msec\nrounds: 46"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 27.27650935149404,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002701368527899103",
+            "extra": "mean: 36.661582576922584 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 20.676898945276722,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0044411983413478505",
+            "extra": "mean: 48.363151681816035 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 184.36565160847044,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002709070875203812",
+            "extra": "mean: 5.424003827587462 msec\nrounds: 58"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 154.70049376475004,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015942230858560086",
+            "extra": "mean: 6.464103479337823 msec\nrounds: 121"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 80.88341503591164,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010980599461135254",
+            "extra": "mean: 12.363474014493669 msec\nrounds: 69"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 56.28444740927884,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007760739081928329",
+            "extra": "mean: 17.766897358490255 msec\nrounds: 53"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 33.104299106571446,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015553181570405253",
+            "extra": "mean: 30.207556933337777 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 27.231213095818934,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008232152615792593",
+            "extra": "mean: 36.722565259259035 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.1975592866083655,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004643408673057997",
+            "extra": "mean: 835.0317275999942 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 27.310633339376956,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003765178612432639",
+            "extra": "mean: 36.615774800000054 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7969150118052658,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013796268688112153",
+            "extra": "mean: 1.2548389541999996 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 16.485720305690133,
+            "unit": "iter/sec",
+            "range": "stddev: 0.020276104731834558",
+            "extra": "mean: 60.658556705881075 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 9.055629966449239,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005834729219210614",
+            "extra": "mean: 110.42854044444856 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.129269802576306,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00795193078336603",
+            "extra": "mean: 163.15157142856916 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 248.78535116706726,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014017981740918446",
+            "extra": "mean: 4.019529266128166 msec\nrounds: 124"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 170.39804959796214,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012491275061731616",
+            "extra": "mean: 5.868611773194612 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 329.3090109506982,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011928185385544266",
+            "extra": "mean: 3.0366615147063585 msec\nrounds: 136"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 300.708233770959,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001162641742214771",
+            "extra": "mean: 3.3254826030526052 msec\nrounds: 131"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 734.0708634359214,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014254736850771946",
+            "extra": "mean: 1.3622663012660112 msec\nrounds: 395"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 888.2989255723612,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012729282827065474",
+            "extra": "mean: 1.1257471682245546 msec\nrounds: 428"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 807.5356753510973,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009569184324758271",
+            "extra": "mean: 1.2383353832203434 msec\nrounds: 441"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 345.01320524035276,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009027210778159008",
+            "extra": "mean: 2.898439783785528 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 455.8338804104061,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011377204282841258",
+            "extra": "mean: 2.1937816449704415 msec\nrounds: 169"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 437.1628404878834,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009660711978556591",
+            "extra": "mean: 2.2874771306819626 msec\nrounds: 176"
+          }
+        ]
       }
     ]
   }

From a00f677e7529aa42213fed3f6a897ae47ccc2077 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 20 Feb 2025 16:54:20 +0000
Subject: [PATCH 113/150] add TiPg Benchmarks (pytest) benchmark result for
 d0bb3fbcb15c0aaa2e13b37f98358e0c2e2da184

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index c5f2ae6d..84ebf51f 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1737118760096,
+  "lastUpdate": 1740070460083,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -31338,6 +31338,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.2874771306819626 msec\nrounds: 176"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "d0bb3fbcb15c0aaa2e13b37f98358e0c2e2da184",
+          "message": "Merge pull request #205 from callsumzg/fix/spatial-envelopes\n\nFix CRS Transformation for custom TMS",
+          "timestamp": "2025-02-20T11:48:57-05:00",
+          "tree_id": "ea1e257492f0521bd8e5951a08061604e7d9c63a",
+          "url": "https://github.com/developmentseed/tipg/commit/d0bb3fbcb15c0aaa2e13b37f98358e0c2e2da184"
+        },
+        "date": 1740070459346,
+        "tool": "pytest",
+        "benches": [
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+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 490.90831127428964,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011395833902246668",
+            "extra": "mean: 2.0370402721522898 msec\nrounds: 158"
+          },
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+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 341.123018310627,
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+            "range": "stddev: 0.00008535277478693253",
+            "extra": "mean: 2.9314937612606338 msec\nrounds: 222"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 407.09278666835814,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011373598837339728",
+            "extra": "mean: 2.456442444446109 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 286.35921325271516,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00024313928408984875",
+            "extra": "mean: 3.492117430555618 msec\nrounds: 216"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 616.2293171598965,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006795286796801555",
+            "extra": "mean: 1.6227725169078973 msec\nrounds: 414"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 476.9954868841939,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007183073898389637",
+            "extra": "mean: 2.0964558942310965 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 680.3372889053192,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005856045964793495",
+            "extra": "mean: 1.4698591658984719 msec\nrounds: 217"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 219.38369009069015,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014380219458463514",
+            "extra": "mean: 4.5582239937098965 msec\nrounds: 159"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 191.47618268165434,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018414975630959868",
+            "extra": "mean: 5.222581659999909 msec\nrounds: 150"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 123.32089841029935,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002902816170835485",
+            "extra": "mean: 8.108925680000425 msec\nrounds: 100"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 73.54042771781012,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012920362309168668",
+            "extra": "mean: 13.597962794521777 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 45.34221935870072,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008004279562571466",
+            "extra": "mean: 22.054500510639652 msec\nrounds: 47"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 38.120864998008166,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009574114788242848",
+            "extra": "mean: 26.232353333332032 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 198.8120714520133,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002855176470547268",
+            "extra": "mean: 5.0298756644732565 msec\nrounds: 152"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 156.98523309918292,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00031272791015270624",
+            "extra": "mean: 6.370025895163033 msec\nrounds: 124"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 78.35860659589726,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009315286174299493",
+            "extra": "mean: 12.761840000002737 msec\nrounds: 72"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 46.123821825613476,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015808259839745896",
+            "extra": "mean: 21.68077059574192 msec\nrounds: 47"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 25.199301132664228,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0033925138012530958",
+            "extra": "mean: 39.683640222218884 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 19.8813191018224,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0034816200102777434",
+            "extra": "mean: 50.29847340000373 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 183.29923495921014,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019346694207659934",
+            "extra": "mean: 5.455560140349367 msec\nrounds: 57"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 154.61657100407407,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012799473520596694",
+            "extra": "mean: 6.467612064515714 msec\nrounds: 93"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 81.85343463250041,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010459131664115722",
+            "extra": "mean: 12.216958329112606 msec\nrounds: 79"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 55.74404772151344,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008472086948623383",
+            "extra": "mean: 17.939135044441123 msec\nrounds: 45"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 31.68300645117612,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01064459605947569",
+            "extra": "mean: 31.562661249998847 msec\nrounds: 32"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 27.797013434618034,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004931026835397496",
+            "extra": "mean: 35.97508783999842 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.196277063566529,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003369651054556423",
+            "extra": "mean: 835.926751799991 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 27.082213286339282,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000385853360150491",
+            "extra": "mean: 36.92460396153872 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7989340443019691,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01378382348573837",
+            "extra": "mean: 1.251667778000001 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 16.44494381363789,
+            "unit": "iter/sec",
+            "range": "stddev: 0.020408689133813936",
+            "extra": "mean: 60.80896422222458 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 9.056074461410315,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005449429331540143",
+            "extra": "mean: 110.42312033334018 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.279651493910828,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007570949084669",
+            "extra": "mean: 159.2445060000013 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 253.88638487801725,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00026691943502435173",
+            "extra": "mean: 3.9387696999997144 msec\nrounds: 140"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 166.27775168326863,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009603298966688943",
+            "extra": "mean: 6.0140336868689035 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 323.371366874072,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001084492706666843",
+            "extra": "mean: 3.0924197453431987 msec\nrounds: 161"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 303.8852281337343,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010825847550677631",
+            "extra": "mean: 3.2907160579714603 msec\nrounds: 138"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 713.5141649886681,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009156557280741325",
+            "extra": "mean: 1.4015138718596873 msec\nrounds: 398"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 857.6779529857928,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007631363209884085",
+            "extra": "mean: 1.1659387961632317 msec\nrounds: 417"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 772.4326202066749,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007761937303382067",
+            "extra": "mean: 1.2946113018018792 msec\nrounds: 444"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 336.32370887886987,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000055300119977916303",
+            "extra": "mean: 2.9733259166696437 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 474.08788420147937,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006973322743562049",
+            "extra": "mean: 2.1093135541405585 msec\nrounds: 157"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 444.12678283434906,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008667177272819366",
+            "extra": "mean: 2.2516093121386493 msec\nrounds: 173"
+          }
+        ]
       }
     ]
   }

From 86d512fdee48325616ae43f512ca62d5d1fbc42c Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 20 Feb 2025 17:14:54 +0000
Subject: [PATCH 114/150] add TiPg Benchmarks (pytest) benchmark result for
 0d9c74730e2a0beb21f85748b6b6ad60228f306a

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 84ebf51f..6bc3df53 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1740070460083,
+  "lastUpdate": 1740071694236,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -31649,6 +31649,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.2516093121386493 msec\nrounds: 173"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "0d9c74730e2a0beb21f85748b6b6ad60228f306a",
+          "message": "update doc gen",
+          "timestamp": "2025-02-20T12:09:02-05:00",
+          "tree_id": "9c584c011fa3ac8749ad6a638b27f4b920a8dcda",
+          "url": "https://github.com/developmentseed/tipg/commit/0d9c74730e2a0beb21f85748b6b6ad60228f306a"
+        },
+        "date": 1740071693139,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 497.50351006861985,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012942043742679622",
+            "extra": "mean: 2.01003606961903 msec\nrounds: 158"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 345.544079842014,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001257052313976889",
+            "extra": "mean: 2.8939867829806527 msec\nrounds: 235"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 414.5835371340066,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00004302138844205751",
+            "extra": "mean: 2.4120591157886913 msec\nrounds: 95"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 300.63703899303664,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002288924965901334",
+            "extra": "mean: 3.326270120772318 msec\nrounds: 207"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 653.0400497291358,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008108227936224782",
+            "extra": "mean: 1.5312996506336392 msec\nrounds: 395"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 466.91078007333454,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010651679490515679",
+            "extra": "mean: 2.1417368000004986 msec\nrounds: 105"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 746.6831272500879,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007031316665336917",
+            "extra": "mean: 1.339256189814864 msec\nrounds: 216"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 221.82382034801176,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003034171431134144",
+            "extra": "mean: 4.508082127659394 msec\nrounds: 141"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 185.54713750951146,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004815369155276417",
+            "extra": "mean: 5.38946605925806 msec\nrounds: 135"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 116.83562694669808,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007327083704242173",
+            "extra": "mean: 8.559033114584244 msec\nrounds: 96"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 72.37027403664112,
+            "unit": "iter/sec",
+            "range": "stddev: 0.015202189482389895",
+            "extra": "mean: 13.817828014492514 msec\nrounds: 69"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 42.62946350351114,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012012987030844628",
+            "extra": "mean: 23.457954142857925 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 34.10394842555783,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01323229176837767",
+            "extra": "mean: 29.32211799999645 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 188.21686362718606,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004906925728745007",
+            "extra": "mean: 5.3130202083314275 msec\nrounds: 144"
+          },
+          {
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+            "value": 158.12289875748004,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002747656587209853",
+            "extra": "mean: 6.324194710936482 msec\nrounds: 128"
+          },
+          {
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+            "value": 81.12125669455033,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006716484994867567",
+            "extra": "mean: 12.327225202702998 msec\nrounds: 74"
+          },
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+            "value": 47.15861047375359,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015516065729302866",
+            "extra": "mean: 21.205035304349266 msec\nrounds: 46"
+          },
+          {
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+            "value": 26.134819021260192,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0025448121393341462",
+            "extra": "mean: 38.263130851853944 msec\nrounds: 27"
+          },
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+            "value": 21.60140808496736,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0028712376380560325",
+            "extra": "mean: 46.29327847826318 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 191.70050381841548,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000927230549030372",
+            "extra": "mean: 5.216470380000828 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 152.00305538913986,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014899683699858438",
+            "extra": "mean: 6.578815126050729 msec\nrounds: 119"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 79.60858849377743,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01027639996301755",
+            "extra": "mean: 12.561458743589764 msec\nrounds: 78"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 53.816680090444905,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009529855442173857",
+            "extra": "mean: 18.581599576922788 msec\nrounds: 52"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 33.24204584997004,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0015361029677895322",
+            "extra": "mean: 30.082384354839615 msec\nrounds: 31"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 27.907800651688287,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005924649271624664",
+            "extra": "mean: 35.832275444446566 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.200138295872296,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00655562469771952",
+            "extra": "mean: 833.2373055999938 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 25.999900426623864,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001176086481134516",
+            "extra": "mean: 38.46168575999627 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8039556532196052,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0018702614108131134",
+            "extra": "mean: 1.2438497023999957 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 15.471108950371008,
+            "unit": "iter/sec",
+            "range": "stddev: 0.02788747566759986",
+            "extra": "mean: 64.63660770587613 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.755835540627205,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00482877046642372",
+            "extra": "mean: 114.20954577778275 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.176560521681539,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006306448590703189",
+            "extra": "mean: 161.9024044999975 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 257.7100763943083,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015983356978479857",
+            "extra": "mean: 3.8803294539013438 msec\nrounds: 141"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 163.40626600638865,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006323981147261097",
+            "extra": "mean: 6.119716363636284 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 340.23755855485655,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00025545317240657463",
+            "extra": "mean: 2.939122900621125 msec\nrounds: 161"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 307.17467235529597,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011873033064137673",
+            "extra": "mean: 3.255476736842881 msec\nrounds: 133"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 683.6781248276393,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005356391905153131",
+            "extra": "mean: 1.4626766071418593 msec\nrounds: 168"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 785.2450051816323,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014806100477055727",
+            "extra": "mean: 1.2734878839104407 msec\nrounds: 491"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 793.9320175664503,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009812990494178257",
+            "extra": "mean: 1.2595536870589834 msec\nrounds: 425"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 359.3306827693814,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009053799104277956",
+            "extra": "mean: 2.782951882352336 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 476.41724183885015,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006635229364707155",
+            "extra": "mean: 2.0990004394892443 msec\nrounds: 157"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 436.7320697351655,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009521828075252876",
+            "extra": "mean: 2.2897333841464866 msec\nrounds: 164"
+          }
+        ]
       }
     ]
   }

From 67b045f287406a3d3737d785e809576da12c0c18 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 20 Feb 2025 17:30:19 +0000
Subject: [PATCH 115/150] add TiPg Benchmarks (pytest) benchmark result for
 6832efa54f4601385c1467178a7fcb3028fe2d8c

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 6bc3df53..c7512d50 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1740071694236,
+  "lastUpdate": 1740072619219,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -31960,6 +31960,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.2897333841464866 msec\nrounds: 164"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "6832efa54f4601385c1467178a7fcb3028fe2d8c",
+          "message": "Bump version: 0.9.0 → 0.10.0",
+          "timestamp": "2025-02-20T12:24:09-05:00",
+          "tree_id": "a5b7a20abe033225068bb23b03061c88db6118a3",
+          "url": "https://github.com/developmentseed/tipg/commit/6832efa54f4601385c1467178a7fcb3028fe2d8c"
+        },
+        "date": 1740072618488,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 495.6900902145857,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010391699099295127",
+            "extra": "mean: 2.017389533785307 msec\nrounds: 148"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 332.9199128116206,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012619728884694288",
+            "extra": "mean: 3.003725405172265 msec\nrounds: 232"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 407.6148309893285,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000049583433023429894",
+            "extra": "mean: 2.4532964062492133 msec\nrounds: 96"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 293.9139545278531,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022662471016518537",
+            "extra": "mean: 3.4023563175365794 msec\nrounds: 211"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 604.869980120442,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005731396831036896",
+            "extra": "mean: 1.6532478596489106 msec\nrounds: 399"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 445.5439591346183,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009338914818544086",
+            "extra": "mean: 2.244447443395493 msec\nrounds: 106"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 701.1954983361844,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015470513260107532",
+            "extra": "mean: 1.4261357957557157 msec\nrounds: 377"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 218.81061022822092,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015339517040322643",
+            "extra": "mean: 4.570162292207829 msec\nrounds: 154"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 192.51580424352187,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013772615512534664",
+            "extra": "mean: 5.194378736485734 msec\nrounds: 148"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 121.9928762173432,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002905704578010623",
+            "extra": "mean: 8.197199959597594 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 72.38687660060499,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014118119900920491",
+            "extra": "mean: 13.814658774649246 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 42.79513784042826,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011479332712563671",
+            "extra": "mean: 23.36714053191592 msec\nrounds: 47"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 36.82667273241269,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010689400147601637",
+            "extra": "mean: 27.154231588233014 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 206.69577105897093,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00026634058905586556",
+            "extra": "mean: 4.838028348991702 msec\nrounds: 149"
+          },
+          {
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+            "value": 155.31427120988474,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004127592404365466",
+            "extra": "mean: 6.438558364341451 msec\nrounds: 129"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 76.29052695433333,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001042847042489999",
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+          },
+          {
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+            "unit": "iter/sec",
+            "range": "stddev: 0.0014967878110254099",
+            "extra": "mean: 21.66430030769325 msec\nrounds: 39"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 26.80384576591105,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007849130311197224",
+            "extra": "mean: 37.308079173914415 msec\nrounds: 23"
+          },
+          {
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+            "value": 20.53731185753238,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004402396601686841",
+            "extra": "mean: 48.6918641999992 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 175.95363295000035,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001783769715964176",
+            "extra": "mean: 5.683315446428797 msec\nrounds: 56"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 148.1061651272428,
+            "unit": "iter/sec",
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+            "extra": "mean: 6.751913393617799 msec\nrounds: 94"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 78.48999128833809,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01267204819223023",
+            "extra": "mean: 12.740477907895734 msec\nrounds: 76"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 54.633520686178585,
+            "unit": "iter/sec",
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+            "extra": "mean: 18.303781038460222 msec\nrounds: 52"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 32.55255140341575,
+            "unit": "iter/sec",
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+            "extra": "mean: 30.719558280002275 msec\nrounds: 25"
+          },
+          {
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+            "value": 27.32124890325402,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005259411726919983",
+            "extra": "mean: 36.601547884617304 msec\nrounds: 26"
+          },
+          {
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+            "value": 1.1756562291459818,
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+            "extra": "mean: 850.5887820000055 msec\nrounds: 5"
+          },
+          {
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+            "value": 27.00912280726332,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008498405153724938",
+            "extra": "mean: 37.02452712500085 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7922680765977504,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009808357258669093",
+            "extra": "mean: 1.262199032800004 sec\nrounds: 5"
+          },
+          {
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+            "value": 16.57733110699583,
+            "unit": "iter/sec",
+            "range": "stddev: 0.020143348164695846",
+            "extra": "mean: 60.323341166660306 msec\nrounds: 18"
+          },
+          {
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+            "value": 8.877797446625456,
+            "unit": "iter/sec",
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+            "extra": "mean: 112.64055144444758 msec\nrounds: 9"
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+            "unit": "iter/sec",
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+            "extra": "mean: 157.66180157144 msec\nrounds: 7"
+          },
+          {
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+            "value": 249.71821058507135,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007268806996561211",
+            "extra": "mean: 4.004513718311027 msec\nrounds: 142"
+          },
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+            "range": "stddev: 0.00010054195466235592",
+            "extra": "mean: 5.926221430001419 msec\nrounds: 100"
+          },
+          {
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+            "value": 327.0909223323567,
+            "unit": "iter/sec",
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+            "extra": "mean: 3.057253906251489 msec\nrounds: 160"
+          },
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+            "value": 295.496032791478,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009521076349303681",
+            "extra": "mean: 3.38414018812113 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 710.1979943274189,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009628558626036747",
+            "extra": "mean: 1.4080580457665657 msec\nrounds: 437"
+          },
+          {
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+          },
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+            "value": 854.0203108608288,
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+            "extra": "mean: 1.1709323388246209 msec\nrounds: 425"
+          },
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+          },
+          {
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+            "value": 457.7559832200789,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000273294219754148",
+            "extra": "mean: 2.184570025640107 msec\nrounds: 156"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 430.19253153852196,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001937600342765963",
+            "extra": "mean: 2.324540587498447 msec\nrounds: 160"
+          }
+        ]
       }
     ]
   }

From 52f9678903d29791b500adecbbcc152205322035 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Sun, 23 Feb 2025 10:07:05 +0000
Subject: [PATCH 116/150] add TiPg Benchmarks (pytest) benchmark result for
 8c1e1e393434c030b263eab4763be3fd38c586a5

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index c7512d50..c1600477 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1740072619219,
+  "lastUpdate": 1740305225583,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -32271,6 +32271,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.324540587498447 msec\nrounds: 160"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "8c1e1e393434c030b263eab4763be3fd38c586a5",
+          "message": "Merge pull request #206 from developmentseed/feature/collection-base-class\n\nadd Collection Abstract BaseClass",
+          "timestamp": "2025-02-23T05:00:42-05:00",
+          "tree_id": "27bf014f44c9718dbe67164b56be6a8f2cc7f254",
+          "url": "https://github.com/developmentseed/tipg/commit/8c1e1e393434c030b263eab4763be3fd38c586a5"
+        },
+        "date": 1740305224421,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 501.49324502452436,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007977257843539231",
+            "extra": "mean: 1.9940448050324135 msec\nrounds: 159"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 348.24999554726867,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000785778635777665",
+            "extra": "mean: 2.871500395652605 msec\nrounds: 230"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 403.7438619228917,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006950163273453752",
+            "extra": "mean: 2.4768178399972385 msec\nrounds: 100"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 287.2237016027322,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00031029691280789226",
+            "extra": "mean: 3.4816068256899295 msec\nrounds: 218"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 595.444130198041,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010729764066489502",
+            "extra": "mean: 1.6794186881435984 msec\nrounds: 388"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 479.8943069812095,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008224643712727047",
+            "extra": "mean: 2.083792171427355 msec\nrounds: 105"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 678.1015450193955,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007513049714851225",
+            "extra": "mean: 1.4747053849750442 msec\nrounds: 213"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 224.53927940976018,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007818896331297755",
+            "extra": "mean: 4.453563771241587 msec\nrounds: 153"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 188.70623864720213,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003239846521406205",
+            "extra": "mean: 5.299241864862567 msec\nrounds: 148"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 119.97202286697926,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005131987025490405",
+            "extra": "mean: 8.335276642861682 msec\nrounds: 98"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 73.30540812001273,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014927013712542507",
+            "extra": "mean: 13.641558319446764 msec\nrounds: 72"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 45.195674367586875,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009200227298202177",
+            "extra": "mean: 22.126011260873522 msec\nrounds: 46"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 37.70100494171243,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009763176311609553",
+            "extra": "mean: 26.524491894739892 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 200.17464757582647,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004028160642895788",
+            "extra": "mean: 4.995637619999798 msec\nrounds: 150"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 158.58686726609827,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003958000595446231",
+            "extra": "mean: 6.305692376923407 msec\nrounds: 130"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 80.79801484452358,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005132210734879869",
+            "extra": "mean: 12.376541699994245 msec\nrounds: 70"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 47.47012589729704,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0029193795568779163",
+            "extra": "mean: 21.06588051111405 msec\nrounds: 45"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 25.986969059585345,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002701663696511252",
+            "extra": "mean: 38.48082466666685 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 22.162218083918738,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0009323017944803422",
+            "extra": "mean: 45.12183736363537 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 189.67033696329577,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009786148304467618",
+            "extra": "mean: 5.272305706893513 msec\nrounds: 58"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 156.1253570772967,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001268908276666211",
+            "extra": "mean: 6.405109449997326 msec\nrounds: 120"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 79.85025113213612,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012880844866852072",
+            "extra": "mean: 12.523442141029726 msec\nrounds: 78"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 55.913128033908556,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008717962388513635",
+            "extra": "mean: 17.88488741666446 msec\nrounds: 48"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 30.670806764239078,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01126891996372406",
+            "extra": "mean: 32.60429396875075 msec\nrounds: 32"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 25.653955843842528,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012190614721624873",
+            "extra": "mean: 38.98034307406903 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.21369162875698,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0016557834098754709",
+            "extra": "mean: 823.9325182000016 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 26.92993763143393,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005521740941878481",
+            "extra": "mean: 37.13339457692436 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7982383985859433,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010324361024708122",
+            "extra": "mean: 1.2527585766000129 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 17.631458466373626,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00036292861881555104",
+            "extra": "mean: 56.716805470584326 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.984072820086295,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004876105118522753",
+            "extra": "mean: 111.30809155556183 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.3008711521447625,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007202023515125325",
+            "extra": "mean: 158.7082128571394 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 263.28391304163773,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006747902372954586",
+            "extra": "mean: 3.7981811666626677 msec\nrounds: 150"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 168.27186894837956,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014881408687597458",
+            "extra": "mean: 5.942763970291244 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 319.9481735151744,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002341952673086892",
+            "extra": "mean: 3.1255061999988953 msec\nrounds: 160"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 298.25547680605524,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012684207352954037",
+            "extra": "mean: 3.352830300750064 msec\nrounds: 133"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 717.1992150484161,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009671532499019297",
+            "extra": "mean: 1.3943127362911192 msec\nrounds: 383"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 805.647351361818,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009889020643657467",
+            "extra": "mean: 1.2412378670514588 msec\nrounds: 519"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 770.2866187647136,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016891199131678053",
+            "extra": "mean: 1.298218060186053 msec\nrounds: 432"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 347.11239450544105,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009793848258427091",
+            "extra": "mean: 2.8809112432437924 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 443.5784882449836,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007157593150065714",
+            "extra": "mean: 2.2543924615381954 msec\nrounds: 169"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 459.7391318505779,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000982602988383585",
+            "extra": "mean: 2.1751465792670763 msec\nrounds: 164"
+          }
+        ]
       }
     ]
   }

From cba24febb92e024c83eedadfab46865fa6a42b9a Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 24 Feb 2025 17:45:11 +0000
Subject: [PATCH 117/150] add TiPg Benchmarks (pytest) benchmark result for
 5d48cd75d23fb5a18ec3db9de4317a912b9346c6

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index c1600477..fbd5e03c 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1740305225583,
+  "lastUpdate": 1740419111097,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -32582,6 +32582,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.1751465792670763 msec\nrounds: 164"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "5d48cd75d23fb5a18ec3db9de4317a912b9346c6",
+          "message": "Merge pull request #208 from developmentseed/refactor/collections-and-index\n\nupdate get_collections_index and features/get_tile methods",
+          "timestamp": "2025-02-24T18:39:44+01:00",
+          "tree_id": "74d5486c26aa152b328d2de7b54464b36127a885",
+          "url": "https://github.com/developmentseed/tipg/commit/5d48cd75d23fb5a18ec3db9de4317a912b9346c6"
+        },
+        "date": 1740419110547,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 491.10083390840657,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010810974962480326",
+            "extra": "mean: 2.036241706293878 msec\nrounds: 143"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 320.61241374098546,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011543969174090084",
+            "extra": "mean: 3.1190308208336384 msec\nrounds: 240"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 400.993776921774,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001397946383345529",
+            "extra": "mean: 2.493804287130073 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 284.9603990269925,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002760240622788884",
+            "extra": "mean: 3.5092595441841596 msec\nrounds: 215"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 605.2810619455715,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015938737843473012",
+            "extra": "mean: 1.652125042183994 msec\nrounds: 403"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 456.3211331511379,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009266082729906227",
+            "extra": "mean: 2.1914391584156383 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 670.9915722749439,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019997878209300366",
+            "extra": "mean: 1.490331684211143 msec\nrounds: 380"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 188.10234390718873,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00026908371596168505",
+            "extra": "mean: 5.316254860138311 msec\nrounds: 143"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 158.40316210722838,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019265782588710246",
+            "extra": "mean: 6.313005287880975 msec\nrounds: 132"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 107.1351709349127,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000523204038751118",
+            "extra": "mean: 9.334002935483484 msec\nrounds: 93"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 63.54499724952989,
+            "unit": "iter/sec",
+            "range": "stddev: 0.022881798213801166",
+            "extra": "mean: 15.736880057971803 msec\nrounds: 69"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 40.80457521916324,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01232022718275269",
+            "extra": "mean: 24.507055756099756 msec\nrounds: 41"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 36.8597970534259,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00041489115789059504",
+            "extra": "mean: 27.12982924324202 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 183.84734450668262,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003561751801184877",
+            "extra": "mean: 5.439295316901633 msec\nrounds: 142"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 138.30341935380707,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005119222777585364",
+            "extra": "mean: 7.230479222222303 msec\nrounds: 126"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 70.16656213627418,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008974933872396022",
+            "extra": "mean: 14.251802704226085 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 43.43988537944278,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0017482907155514016",
+            "extra": "mean: 23.020318568180056 msec\nrounds: 44"
+          },
+          {
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+            "extra": "mean: 49.97186971428526 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 147.49015849798587,
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+            "extra": "mean: 6.780113399997845 msec\nrounds: 55"
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+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
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+          },
+          {
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+          },
+          {
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+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.1986634910704852,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002243344312335085",
+            "extra": "mean: 834.2624994000062 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 26.115541248807382,
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+            "range": "stddev: 0.00025451443135722735",
+            "extra": "mean: 38.29137564000007 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7874202064052667,
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 16.2977124648953,
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+            "range": "stddev: 0.0009114188140524767",
+            "extra": "mean: 61.35830424999611 msec\nrounds: 16"
+          },
+          {
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+          },
+          {
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+          },
+          {
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+            "unit": "iter/sec",
+            "range": "stddev: 0.00016352829557114536",
+            "extra": "mean: 4.496218088236475 msec\nrounds: 102"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 150.7714732252371,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015785178524049497",
+            "extra": "mean: 6.6325544123728415 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 294.4649493671254,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013618617987436475",
+            "extra": "mean: 3.3959899205295425 msec\nrounds: 151"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 261.82752806267905,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002621474159966253",
+            "extra": "mean: 3.8193081048399518 msec\nrounds: 124"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 669.8244321925457,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006707575110861891",
+            "extra": "mean: 1.4929285226677773 msec\nrounds: 375"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 846.0750458595937,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008450132225895273",
+            "extra": "mean: 1.1819282519838672 msec\nrounds: 504"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 810.7563661066307,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000947681568993365",
+            "extra": "mean: 1.2334161553391736 msec\nrounds: 206"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 324.7059261287182,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007389773378915311",
+            "extra": "mean: 3.0797097297312193 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 431.812422775437,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009622355056376635",
+            "extra": "mean: 2.315820359156382 msec\nrounds: 142"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 419.3221151851778,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011185232814165712",
+            "extra": "mean: 2.38480147787671 msec\nrounds: 113"
+          }
+        ]
       }
     ]
   }

From 220528ee1c5e184029c0c03e12bf6ba766f2d771 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 25 Feb 2025 17:57:57 +0000
Subject: [PATCH 118/150] add TiPg Benchmarks (pytest) benchmark result for
 2053459cd61dd7ec16df56e2c9e320690ad1f3f7

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index fbd5e03c..76e10b6f 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1740419111097,
+  "lastUpdate": 1740506277178,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -32893,6 +32893,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.38480147787671 msec\nrounds: 113"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "2053459cd61dd7ec16df56e2c9e320690ad1f3f7",
+          "message": "Merge pull request #209 from developmentseed/feature/infer-ogc-tiles-links-in-ogc-feature-responses\n\ninfer OGC Tiles links /collections and /collections/{collectionId} response",
+          "timestamp": "2025-02-25T18:52:22+01:00",
+          "tree_id": "2766440ff06881b868b402623f5dfbb5ef1d1bea",
+          "url": "https://github.com/developmentseed/tipg/commit/2053459cd61dd7ec16df56e2c9e320690ad1f3f7"
+        },
+        "date": 1740506275944,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 455.20520828301017,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009183988700045824",
+            "extra": "mean: 2.196811420000889 msec\nrounds: 150"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 205.88738644408718,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00048693342708740884",
+            "extra": "mean: 4.857024110467155 msec\nrounds: 172"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 370.5276462291848,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000690863434720747",
+            "extra": "mean: 2.6988539456552822 msec\nrounds: 92"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 196.86125922616094,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010557246603651671",
+            "extra": "mean: 5.079719615382353 msec\nrounds: 156"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 560.070514640189,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000823653860799036",
+            "extra": "mean: 1.785489458666537 msec\nrounds: 375"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 426.95584997918115,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007105594146577051",
+            "extra": "mean: 2.342162544555277 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 683.3775909065512,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016366536142490721",
+            "extra": "mean: 1.4633198590451666 msec\nrounds: 376"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 219.1501457014162,
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+            "extra": "mean: 4.563081611464964 msec\nrounds: 157"
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+          {
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 445.36979544570806,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007306900071353268",
+            "extra": "mean: 2.2453251437925656 msec\nrounds: 153"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 430.52962308491715,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007291417454469547",
+            "extra": "mean: 2.3227205432104756 msec\nrounds: 162"
+          }
+        ]
       }
     ]
   }

From a076f35b8710af17e94e3f243cb994cfcac1b649 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 4 Mar 2025 09:53:29 +0000
Subject: [PATCH 119/150] add TiPg Benchmarks (pytest) benchmark result for
 b15f0bacfd4ba0e18ff5e2b3e4de40172d149cf5

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 76e10b6f..8291cc68 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1740506277178,
+  "lastUpdate": 1741082009669,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -33204,6 +33204,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.3227205432104756 msec\nrounds: 162"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "b15f0bacfd4ba0e18ff5e2b3e4de40172d149cf5",
+          "message": "Merge pull request #210 from developmentseed/feature/custom-application-schema\n\nadd the ability to use a schema other than pg_temp for installing catalog functions",
+          "timestamp": "2025-03-04T10:46:04+01:00",
+          "tree_id": "a3a97f2929845cd3bc612378e7f4973a4eb725f2",
+          "url": "https://github.com/developmentseed/tipg/commit/b15f0bacfd4ba0e18ff5e2b3e4de40172d149cf5"
+        },
+        "date": 1741082009121,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 464.4183053261065,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008109770888447254",
+            "extra": "mean: 2.1532312325583667 msec\nrounds: 215"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 206.50933774859968,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003956054669627937",
+            "extra": "mean: 4.842396043211276 msec\nrounds: 162"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 370.3029311229105,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000060372883952973146",
+            "extra": "mean: 2.700491721649595 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 193.68109323699963,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000402186178053119",
+            "extra": "mean: 5.163126577235605 msec\nrounds: 123"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 576.9121717876474,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012522296339492485",
+            "extra": "mean: 1.7333660978262126 msec\nrounds: 368"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 406.2502207778597,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012653781710976494",
+            "extra": "mean: 2.461537123808252 msec\nrounds: 105"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 693.0673572262378,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007857760923582833",
+            "extra": "mean: 1.442861201834918 msec\nrounds: 218"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 220.3231376544135,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00024246335313189466",
+            "extra": "mean: 4.538787939596902 msec\nrounds: 149"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 198.17783461745609,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001700086892448576",
+            "extra": "mean: 5.045972986486134 msec\nrounds: 148"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 127.7116873899311,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003721134838191224",
+            "extra": "mean: 7.830136931374073 msec\nrounds: 102"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 75.15738922160763,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013107692246134539",
+            "extra": "mean: 13.305411621622717 msec\nrounds: 74"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 45.656043634405954,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008079072581376093",
+            "extra": "mean: 21.902905297874074 msec\nrounds: 47"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 37.071246742038326,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011934294319353734",
+            "extra": "mean: 26.975084138889034 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 215.02707888370855,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002408803190381369",
+            "extra": "mean: 4.650577058440264 msec\nrounds: 154"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 150.35882542997834,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000416679684345815",
+            "extra": "mean: 6.650756928569497 msec\nrounds: 126"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 78.15107022012666,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007950749215147647",
+            "extra": "mean: 12.795730080001704 msec\nrounds: 75"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 48.74979091915172,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003594959665553936",
+            "extra": "mean: 20.512908489360157 msec\nrounds: 47"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 23.529315456990478,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0023663745524592004",
+            "extra": "mean: 42.500173956522964 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 19.88505271734326,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003842345074179834",
+            "extra": "mean: 50.28902936363977 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 184.4062741824506,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015111745621651873",
+            "extra": "mean: 5.422808982142361 msec\nrounds: 56"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 156.3008959988465,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002883526190111701",
+            "extra": "mean: 6.397915978724652 msec\nrounds: 94"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 82.11409813869261,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011323320718485552",
+            "extra": "mean: 12.178176740259351 msec\nrounds: 77"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 56.19225403014546,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007565288562206833",
+            "extra": "mean: 17.796047111111253 msec\nrounds: 54"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 30.415555039519383,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010516999119576648",
+            "extra": "mean: 32.87791390624584 msec\nrounds: 32"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 26.50675313973259,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0039029173721776703",
+            "extra": "mean: 37.72623507407397 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.2017027325944825,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007848847548231279",
+            "extra": "mean: 832.1525555999983 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 27.32394997223263,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006655378556772259",
+            "extra": "mean: 36.59792969231127 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7968398407966557,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006338797672447621",
+            "extra": "mean: 1.254957331199995 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 15.99681917825471,
+            "unit": "iter/sec",
+            "range": "stddev: 0.024876977329733527",
+            "extra": "mean: 62.51242755555747 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.97996812378929,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005630315488677649",
+            "extra": "mean: 111.35896989999878 msec\nrounds: 10"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.181692294624963,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008406928661621233",
+            "extra": "mean: 161.76800014285877 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 254.90412236981177,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012357242529681815",
+            "extra": "mean: 3.9230436554070796 msec\nrounds: 148"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 165.46157892697,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002054601216109607",
+            "extra": "mean: 6.043699126317243 msec\nrounds: 95"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 326.78425148588155,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010119515834896925",
+            "extra": "mean: 3.060122987729732 msec\nrounds: 163"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 289.5777390411227,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011381136192421582",
+            "extra": "mean: 3.453304122448414 msec\nrounds: 98"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 744.8547599336537,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006335228906941971",
+            "extra": "mean: 1.342543612246061 msec\nrounds: 392"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 852.448540215238,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008965879532877312",
+            "extra": "mean: 1.1730913396221032 msec\nrounds: 424"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 828.9294066245158,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009492976018899456",
+            "extra": "mean: 1.2063753463302753 msec\nrounds: 436"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 337.4933370152686,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00004211414633543167",
+            "extra": "mean: 2.9630214594570172 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 453.4264943979593,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002292756941692105",
+            "extra": "mean: 2.205429132075218 msec\nrounds: 159"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 431.1627866087977,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009393107671709526",
+            "extra": "mean: 2.3193096228578725 msec\nrounds: 175"
+          }
+        ]
       }
     ]
   }

From ed4698707d0178b1e4126213b79adea43191dbbe Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 4 Mar 2025 10:07:21 +0000
Subject: [PATCH 120/150] add TiPg Benchmarks (pytest) benchmark result for
 0b7b8b09f5e5aa491349adeec084f7c5f7f4a0f2

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 8291cc68..c831215c 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1741082009669,
+  "lastUpdate": 1741082841795,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -33515,6 +33515,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.3193096228578725 msec\nrounds: 175"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "0b7b8b09f5e5aa491349adeec084f7c5f7f4a0f2",
+          "message": "fix URL in html templates",
+          "timestamp": "2025-03-04T11:01:19+01:00",
+          "tree_id": "f26346ecbdd66be1127f2b73cce2c7d19d3dad6f",
+          "url": "https://github.com/developmentseed/tipg/commit/0b7b8b09f5e5aa491349adeec084f7c5f7f4a0f2"
+        },
+        "date": 1741082841224,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 470.60483965350886,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009069657042531377",
+            "extra": "mean: 2.1249250235851114 msec\nrounds: 212"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 218.62395645713076,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011113934862134034",
+            "extra": "mean: 4.57406414285658 msec\nrounds: 161"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 391.70101305010064,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019518852465822046",
+            "extra": "mean: 2.552967612243818 msec\nrounds: 98"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 196.9188975987821,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014402812714380084",
+            "extra": "mean: 5.078232776000391 msec\nrounds: 125"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 561.6739388603834,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016106489823034036",
+            "extra": "mean: 1.7803923785906193 msec\nrounds: 383"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 431.3634008934786,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005831633713861158",
+            "extra": "mean: 2.318230980951815 msec\nrounds: 105"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 743.5253256996558,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006967430337137376",
+            "extra": "mean: 1.3449440999995557 msec\nrounds: 220"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 184.0622790628837,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002385153141344567",
+            "extra": "mean: 5.432943703029757 msec\nrounds: 165"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 164.79795548857453,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00033688792996548723",
+            "extra": "mean: 6.068036445205355 msec\nrounds: 146"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 113.04194657829589,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003540507283718336",
+            "extra": "mean: 8.846273708736723 msec\nrounds: 103"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 76.90654533845459,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013258950163784292",
+            "extra": "mean: 13.002794438355597 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 44.17578395241475,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008656241766695832",
+            "extra": "mean: 22.63683653191485 msec\nrounds: 47"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 36.8162983674788,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00922829065028614",
+            "extra": "mean: 27.161883305556245 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 181.64810526160133,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000246046913103597",
+            "extra": "mean: 5.5051496329116425 msec\nrounds: 158"
+          },
+          {
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+          {
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+            "extra": "mean: 48.21576927272533 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 163.49016226907875,
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+            "extra": "mean: 6.1165759830500335 msec\nrounds: 59"
+          },
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+            "extra": "mean: 12.873197012820672 msec\nrounds: 78"
+          },
+          {
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+            "extra": "mean: 30.0175989999957 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
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+            "extra": "mean: 36.58267281481589 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.208579155503462,
+            "unit": "iter/sec",
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+            "extra": "mean: 827.4178778000078 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 27.46362312400711,
+            "unit": "iter/sec",
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+            "extra": "mean: 36.41180173077229 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7993966326886096,
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+            "extra": "mean: 1.2509434730000066 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 16.358289998587725,
+            "unit": "iter/sec",
+            "range": "stddev: 0.023167113835180764",
+            "extra": "mean: 61.1310839999984 msec\nrounds: 17"
+          },
+          {
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+            "value": 9.011921540267982,
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+            "extra": "mean: 110.96412630000145 msec\nrounds: 10"
+          },
+          {
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+          },
+          {
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+            "value": 261.4126976575888,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009434446637054056",
+            "extra": "mean: 3.825368885905646 msec\nrounds: 149"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 167.0400730134185,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011353984674682742",
+            "extra": "mean: 5.9865874215684105 msec\nrounds: 102"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 322.9175327067866,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002742348677023872",
+            "extra": "mean: 3.0967658882369 msec\nrounds: 170"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 311.7717929110871,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000860606486139794",
+            "extra": "mean: 3.207474257573987 msec\nrounds: 132"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 748.0441608229753,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012154073858030128",
+            "extra": "mean: 1.3368194718608999 msec\nrounds: 462"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 807.4723162890506,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001513227263425404",
+            "extra": "mean: 1.2384325503513987 msec\nrounds: 427"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 817.1057898462103,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008144303207880988",
+            "extra": "mean: 1.2238317393249811 msec\nrounds: 445"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 353.3503288021563,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007176518758012247",
+            "extra": "mean: 2.830052552632286 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 445.1959573418556,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006408793585139173",
+            "extra": "mean: 2.246201888199365 msec\nrounds: 161"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 463.9066814313265,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010574683461774049",
+            "extra": "mean: 2.155605944097688 msec\nrounds: 161"
+          }
+        ]
       }
     ]
   }

From 090727d2fdef5ac8e60a3b4404e7c4558d8bc153 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 4 Mar 2025 12:41:27 +0000
Subject: [PATCH 121/150] add TiPg Benchmarks (pytest) benchmark result for
 27dd522c720d0f2e5f3311021f83d057d91e4339

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index c831215c..66fdd128 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1741082841795,
+  "lastUpdate": 1741092087170,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -33826,6 +33826,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.155605944097688 msec\nrounds: 161"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "27dd522c720d0f2e5f3311021f83d057d91e4339",
+          "message": "Merge pull request #211 from developmentseed/feature/remove-deprecated-and-move-endpoints\n\nremove deprecated endpoints and add /tiles prefix for tilejson and stylejson",
+          "timestamp": "2025-03-04T13:34:57+01:00",
+          "tree_id": "918e84e9519ae1595082eaf461c2cfb9f6663b51",
+          "url": "https://github.com/developmentseed/tipg/commit/27dd522c720d0f2e5f3311021f83d057d91e4339"
+        },
+        "date": 1741092086535,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 456.33225333235157,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007587189696878002",
+            "extra": "mean: 2.191385756096643 msec\nrounds: 246"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 218.7012469436865,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010193248981092453",
+            "extra": "mean: 4.572447637929978 msec\nrounds: 116"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 392.50144417793547,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006652573408600482",
+            "extra": "mean: 2.5477613263167074 msec\nrounds: 95"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 201.06353903502458,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009075799863199536",
+            "extra": "mean: 4.973552165645525 msec\nrounds: 163"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 560.4152141094814,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000608945763683975",
+            "extra": "mean: 1.7843912421061472 msec\nrounds: 190"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 416.4122899828269,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009297818597735669",
+            "extra": "mean: 2.4014661047617993 msec\nrounds: 105"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 696.7230501167456,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012466352726170146",
+            "extra": "mean: 1.4352905359345238 msec\nrounds: 487"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 228.68461446129294,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012943232792323679",
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+            "range": "stddev: 0.0001422931893355165",
+            "extra": "mean: 1.1493832063496574 msec\nrounds: 504"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 808.7325257972277,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010235777771488188",
+            "extra": "mean: 1.236502759690821 msec\nrounds: 516"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 348.165775653492,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005095861728931492",
+            "extra": "mean: 2.8721949999911494 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 471.9388589301247,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008666131139550147",
+            "extra": "mean: 2.1189185443787752 msec\nrounds: 169"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 453.0681434872545,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010957604220587756",
+            "extra": "mean: 2.207173500001621 msec\nrounds: 174"
+          }
+        ]
       }
     ]
   }

From 9164df747d37b88b31424557804f2756d624d4e9 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 4 Mar 2025 17:15:41 +0000
Subject: [PATCH 122/150] add TiPg Benchmarks (pytest) benchmark result for
 6ab7cbd3dd2c94493dd8a41c6f596cc514b7e54a

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 66fdd128..9d818f53 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1741092087170,
+  "lastUpdate": 1741108541415,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -34137,6 +34137,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.207173500001621 msec\nrounds: 174"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "6ab7cbd3dd2c94493dd8a41c6f596cc514b7e54a",
+          "message": "update ci",
+          "timestamp": "2025-03-04T18:10:03+01:00",
+          "tree_id": "194eb13b01759c1924852e1d8498891b4cabc2f9",
+          "url": "https://github.com/developmentseed/tipg/commit/6ab7cbd3dd2c94493dd8a41c6f596cc514b7e54a"
+        },
+        "date": 1741108540243,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 482.87597261881314,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006154300758203998",
+            "extra": "mean: 2.070925158227762 msec\nrounds: 158"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 332.9068324814036,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009365375708084812",
+            "extra": "mean: 3.0038434253399124 msec\nrounds: 221"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 400.2487599683217,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000390324042557102",
+            "extra": "mean: 2.498446216495828 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 297.1896648392531,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020254239052062333",
+            "extra": "mean: 3.364854563636625 msec\nrounds: 220"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 613.0167515749228,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006601558676484098",
+            "extra": "mean: 1.6312767920792783 msec\nrounds: 404"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 452.5164727198315,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011137089174224698",
+            "extra": "mean: 2.2098643039214494 msec\nrounds: 102"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 702.5625951800743,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009945518287391195",
+            "extra": "mean: 1.4233607181203396 msec\nrounds: 149"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 214.93921204784525,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012989655404582853",
+            "extra": "mean: 4.652478207547355 msec\nrounds: 159"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 184.33096212492902,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001348551746906585",
+            "extra": "mean: 5.42502457792336 msec\nrounds: 154"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 121.95446201363498,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00045460135447999213",
+            "extra": "mean: 8.199781980000012 msec\nrounds: 100"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 73.86256202307887,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013601632821811125",
+            "extra": "mean: 13.538658457142917 msec\nrounds: 70"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 45.18218020361024,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008803235052255654",
+            "extra": "mean: 22.13261944185898 msec\nrounds: 43"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 36.3184429362313,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009697796461637535",
+            "extra": "mean: 27.534220058823045 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 203.1040660739817,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00032736264704819377",
+            "extra": "mean: 4.923584344371249 msec\nrounds: 151"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 153.72840723639698,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003135492873299085",
+            "extra": "mean: 6.504978604652052 msec\nrounds: 129"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 77.20993265199213,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008036236356170955",
+            "extra": "mean: 12.951701492958088 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 47.12546808301478,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0013910939053509755",
+            "extra": "mean: 21.21994837777379 msec\nrounds: 45"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 25.930455238878,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0014937873252527313",
+            "extra": "mean: 38.56469124000114 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 19.34056346247294,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0038574998885534772",
+            "extra": "mean: 51.70480177272649 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 182.95557783679217,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010918405479322439",
+            "extra": "mean: 5.4658076666679305 msec\nrounds: 57"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 151.8139263124355,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002451968481300134",
+            "extra": "mean: 6.5870109830502885 msec\nrounds: 118"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 81.83508625733023,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010401141160787065",
+            "extra": "mean: 12.219697512818675 msec\nrounds: 78"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 55.99582815443894,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008428656128871382",
+            "extra": "mean: 17.858473264150255 msec\nrounds: 53"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 30.72260768382219,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010531287623102037",
+            "extra": "mean: 32.549320366662 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 26.169005861922226,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011283039821474685",
+            "extra": "mean: 38.21314440741027 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.2131543723233347,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0030820607400488505",
+            "extra": "mean: 824.2974041999958 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 27.207026686086756,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005581293713319157",
+            "extra": "mean: 36.75521075999768 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8044432327920403,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001252213144911351",
+            "extra": "mean: 1.2430957950000106 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 17.80061437243934,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00042781033180143126",
+            "extra": "mean: 56.1778362857126 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 9.05512025922331,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00534040961417509",
+            "extra": "mean: 110.43475639999656 msec\nrounds: 10"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.347444649768361,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008463889897847946",
+            "extra": "mean: 157.54371328570673 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 258.16207726085986,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008139690134082966",
+            "extra": "mean: 3.873535612240794 msec\nrounds: 147"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 167.22498314617872,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011012936087542858",
+            "extra": "mean: 5.979967712873716 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 323.07862296742866,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010292121919609549",
+            "extra": "mean: 3.0952218095247224 msec\nrounds: 168"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 283.7329588105032,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010807270988889004",
+            "extra": "mean: 3.5244407424231254 msec\nrounds: 132"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 710.4842627197519,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009546351033777473",
+            "extra": "mean: 1.4074907108736998 msec\nrounds: 377"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 848.071877523203,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008037783588725979",
+            "extra": "mean: 1.1791453372095104 msec\nrounds: 430"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 849.9207979566004,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000040013129232778224",
+            "extra": "mean: 1.1765802206561171 msec\nrounds: 213"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 337.80475443939895,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003314534479104383",
+            "extra": "mean: 2.9602898918919642 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 457.2064641075886,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008470039891277719",
+            "extra": "mean: 2.187195673079291 msec\nrounds: 156"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 435.8277176605768,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001519048672500196",
+            "extra": "mean: 2.294484631146845 msec\nrounds: 122"
+          }
+        ]
       }
     ]
   }

From a02162c98b2b24fa2c11a7b47bafbea20022b8b3 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 4 Mar 2025 20:32:51 +0000
Subject: [PATCH 123/150] add TiPg Benchmarks (pytest) benchmark result for
 214ff7847f8d7daf6b43e120662de7a16690a198

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 9d818f53..ade5768e 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1741108541415,
+  "lastUpdate": 1741120371694,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -34448,6 +34448,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.294484631146845 msec\nrounds: 122"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "214ff7847f8d7daf6b43e120662de7a16690a198",
+          "message": "update from 0.10.1",
+          "timestamp": "2025-03-04T21:27:36+01:00",
+          "tree_id": "ffaa03bfbfe98f226031b91cd78b29a6c07ab00f",
+          "url": "https://github.com/developmentseed/tipg/commit/214ff7847f8d7daf6b43e120662de7a16690a198"
+        },
+        "date": 1741120371104,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 447.32263891450754,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001719973799687529",
+            "extra": "mean: 2.2355228933340894 msec\nrounds: 225"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 216.48508835559048,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011951051873959403",
+            "extra": "mean: 4.619255799999658 msec\nrounds: 120"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 371.1049971715858,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000114616490735378",
+            "extra": "mean: 2.694655172044572 msec\nrounds: 93"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 195.10416360525994,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004010347825824651",
+            "extra": "mean: 5.125467245400396 msec\nrounds: 163"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 548.9015263135069,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007936759962614872",
+            "extra": "mean: 1.8218204032262915 msec\nrounds: 186"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 416.7961314843635,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000938637674299391",
+            "extra": "mean: 2.3992545142840798 msec\nrounds: 105"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 715.7878700124065,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019911592564980716",
+            "extra": "mean: 1.3970619535403237 msec\nrounds: 452"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 209.77633681295907,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00044692522046751277",
+            "extra": "mean: 4.766981896969726 msec\nrounds: 165"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 190.34966278599146,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013601937134666324",
+            "extra": "mean: 5.253489737590404 msec\nrounds: 141"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 118.99089876476319,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00027825420824840395",
+            "extra": "mean: 8.404004090908929 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 71.71669488666798,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014069615234822669",
+            "extra": "mean: 13.943754680556234 msec\nrounds: 72"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 45.821827336115305,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000490515310885947",
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+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
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+            "range": "stddev: 0.003193319896515502",
+            "extra": "mean: 48.06881263636275 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 174.77268304252402,
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+            "extra": "mean: 5.721717962965011 msec\nrounds: 54"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
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+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
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+            "extra": "mean: 34.09288512499842 msec\nrounds: 32"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 24.775762238116283,
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+            "extra": "mean: 40.36202762963028 msec\nrounds: 27"
+          },
+          {
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+            "value": 1.1979404708419374,
+            "unit": "iter/sec",
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+            "extra": "mean: 834.7660207999979 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 26.204653002585644,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005450135242293467",
+            "extra": "mean: 38.161161680001214 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 16.92479034443356,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005903063211236718",
+            "extra": "mean: 59.084926882352356 msec\nrounds: 17"
+          },
+          {
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+            "extra": "mean: 114.98259244444222 msec\nrounds: 9"
+          },
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+            "extra": "mean: 167.69188642857102 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
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+            "unit": "iter/sec",
+            "range": "stddev: 0.0001484312029028295",
+            "extra": "mean: 4.0507054733336645 msec\nrounds: 150"
+          },
+          {
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+            "value": 163.55167692787555,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001581616344525193",
+            "extra": "mean: 6.114275431373222 msec\nrounds: 102"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 326.12610261082955,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003309423741307719",
+            "extra": "mean: 3.0662985636366336 msec\nrounds: 165"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 293.7936372112863,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012106587772076759",
+            "extra": "mean: 3.403749684615648 msec\nrounds: 130"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 680.1930280772859,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001585195901566808",
+            "extra": "mean: 1.4701709054953391 msec\nrounds: 455"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 804.4967736845368,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011105640074635238",
+            "extra": "mean: 1.2430130644527915 msec\nrounds: 512"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 762.669823715458,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017086365360051512",
+            "extra": "mean: 1.3111833835621725 msec\nrounds: 511"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 340.3391459887893,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006762598535948535",
+            "extra": "mean: 2.938245605261464 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 465.79626764282904,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00028475856651082916",
+            "extra": "mean: 2.146861341462694 msec\nrounds: 164"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 454.54243110680824,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010384268220310176",
+            "extra": "mean: 2.200014633540384 msec\nrounds: 161"
+          }
+        ]
       }
     ]
   }

From 336c5d1f24b59fe407cfd3fcd70b5791a733a0fe Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Fri, 7 Mar 2025 14:32:59 +0000
Subject: [PATCH 124/150] add TiPg Benchmarks (pytest) benchmark result for
 88f8685e0bc99e67c801ff40fc0702524e5d70e5

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index ade5768e..6eddddf1 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1741120371694,
+  "lastUpdate": 1741357979021,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -34759,6 +34759,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.200014633540384 msec\nrounds: 161"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "88f8685e0bc99e67c801ff40fc0702524e5d70e5",
+          "message": "Bump version: 0.10.0 → 1.0.0",
+          "timestamp": "2025-03-07T15:25:31+01:00",
+          "tree_id": "585ec4a460742b1d19f05e009dbf7a4fa1331bfd",
+          "url": "https://github.com/developmentseed/tipg/commit/88f8685e0bc99e67c801ff40fc0702524e5d70e5"
+        },
+        "date": 1741357977808,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 465.48038716187284,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009474711973198022",
+            "extra": "mean: 2.148318226890719 msec\nrounds: 238"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 210.31690877806204,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018420751237920502",
+            "extra": "mean: 4.754729449999928 msec\nrounds: 120"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 378.9914537148521,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010592507547307466",
+            "extra": "mean: 2.638581926315378 msec\nrounds: 95"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 201.41030153748582,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011129763543523298",
+            "extra": "mean: 4.964989339504481 msec\nrounds: 162"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 549.1620640803454,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011515701953328988",
+            "extra": "mean: 1.820956080924218 msec\nrounds: 173"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 429.7499346079861,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013218268327056158",
+            "extra": "mean: 2.3269346181802 msec\nrounds: 110"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 692.18400937672,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011932701804995148",
+            "extra": "mean: 1.4447025450652264 msec\nrounds: 466"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 229.80191715003946,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015093054533396618",
+            "extra": "mean: 4.351573791906585 msec\nrounds: 173"
+          },
+          {
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+            "value": 48.543804788659784,
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+            "unit": "iter/sec",
+            "range": "stddev: 0.0001453940587186033",
+            "extra": "mean: 3.3212076666677275 msec\nrounds: 138"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 725.8044467731416,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009266224348512956",
+            "extra": "mean: 1.377781583518682 msec\nrounds: 449"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 837.6059350498111,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009482570010071927",
+            "extra": "mean: 1.193878837475682 msec\nrounds: 523"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 786.7633167825971,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015932308122548367",
+            "extra": "mean: 1.271030281494842 msec\nrounds: 508"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 349.2767304906434,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00004954372164694275",
+            "extra": "mean: 2.863059324322175 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 477.3965818476968,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007398453626522858",
+            "extra": "mean: 2.0946945119079814 msec\nrounds: 168"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 326.05319436880205,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009666424330348991",
+            "extra": "mean: 3.0669842138362546 msec\nrounds: 159"
+          }
+        ]
       }
     ]
   }

From dad8144cfbb9d5eb018f896560cfc651701cd508 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 17 Mar 2025 10:26:36 +0000
Subject: [PATCH 125/150] add TiPg Benchmarks (pytest) benchmark result for
 ec2746953db7a9ad5a136570ed455687e220b7f1

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 6eddddf1..2e510341 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1741357979021,
+  "lastUpdate": 1742207196900,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -35070,6 +35070,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 3.0669842138362546 msec\nrounds: 159"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "ec2746953db7a9ad5a136570ed455687e220b7f1",
+          "message": "Merge pull request #216 from developmentseed/patch/fix-typo-issue215\n\nfix typo",
+          "timestamp": "2025-03-17T11:21:10+01:00",
+          "tree_id": "3fed587a5152e44ff411c7dd6874cdab8cb93528",
+          "url": "https://github.com/developmentseed/tipg/commit/ec2746953db7a9ad5a136570ed455687e220b7f1"
+        },
+        "date": 1742207196142,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 445.1057028886075,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011607584569157396",
+            "extra": "mean: 2.2466573524227815 msec\nrounds: 227"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 217.61050881648075,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009342989606504855",
+            "extra": "mean: 4.595366305785068 msec\nrounds: 121"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 394.04858032897283,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006230996157473108",
+            "extra": "mean: 2.5377581595780563 msec\nrounds: 94"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 201.82914453335567,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000983949576137958",
+            "extra": "mean: 4.954685817611108 msec\nrounds: 159"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 569.8576316381302,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008496976167164586",
+            "extra": "mean: 1.754824265712419 msec\nrounds: 350"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 438.9015791594535,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006403875182264235",
+            "extra": "mean: 2.278415133331518 msec\nrounds: 105"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 693.7887766007372,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001703201460420974",
+            "extra": "mean: 1.441360877729335 msec\nrounds: 458"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 219.7845805347086,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007429989427570668",
+            "extra": "mean: 4.549909723271415 msec\nrounds: 159"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 189.86643367104872,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002982102939796374",
+            "extra": "mean: 5.266860395832475 msec\nrounds: 144"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 126.96220815510944,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004103688264989932",
+            "extra": "mean: 7.876359544552835 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 76.9289924009466,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012365462048704853",
+            "extra": "mean: 12.999000361113467 msec\nrounds: 72"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 45.20730606164817,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00878611433412433",
+            "extra": "mean: 22.120318309529942 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 40.27042531656098,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00048746716848988795",
+            "extra": "mean: 24.832119157896148 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 203.94923781347154,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018572562156680142",
+            "extra": "mean: 4.9031808636352086 msec\nrounds: 110"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 160.4082010007334,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00038252658286971945",
+            "extra": "mean: 6.234095225564109 msec\nrounds: 133"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 74.26164485481708,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00109277264796248",
+            "extra": "mean: 13.465901569444346 msec\nrounds: 72"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 47.043334871156,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001572076509659231",
+            "extra": "mean: 21.256996399996652 msec\nrounds: 45"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 24.04610191331944,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003215522981795226",
+            "extra": "mean: 41.58678207406612 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 20.81964670263084,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003472816974825409",
+            "extra": "mean: 48.03155472727771 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 188.00161505064912,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001653016217231747",
+            "extra": "mean: 5.319103241376901 msec\nrounds: 58"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 157.41425219302485,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000163551479287006",
+            "extra": "mean: 6.35266493388272 msec\nrounds: 121"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 91.341836336397,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003321398538943537",
+            "extra": "mean: 10.947885876928993 msec\nrounds: 65"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 54.35086749507046,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00988234795050212",
+            "extra": "mean: 18.398970358489652 msec\nrounds: 53"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 30.0431208350035,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01131076371378545",
+            "extra": "mean: 33.285490062500145 msec\nrounds: 32"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 25.751380342225374,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012603470229417645",
+            "extra": "mean: 38.83286980000321 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.19551708141847,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004677963830006377",
+            "extra": "mean: 836.4581447999967 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 26.592381761902633,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004978520503914007",
+            "extra": "mean: 37.604754961537225 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7879293614065989,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008694357331713712",
+            "extra": "mean: 1.2691493031999925 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 17.00937480196868,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0013804365515806172",
+            "extra": "mean: 58.7911085294128 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.895984317193374,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005792031899830552",
+            "extra": "mean: 112.41027011112061 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.038152654107989,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008608948185994435",
+            "extra": "mean: 165.613567142868 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 257.09700892338117,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010277539276364363",
+            "extra": "mean: 3.8895823961064258 msec\nrounds: 154"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 168.1288827516843,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014337291591895863",
+            "extra": "mean: 5.947818028844791 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 314.87943915465155,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00027551450866546937",
+            "extra": "mean: 3.1758186647075894 msec\nrounds: 170"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 287.7273518098516,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010858875955025917",
+            "extra": "mean: 3.475512472866546 msec\nrounds: 129"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 674.1013577934718,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001360546339080467",
+            "extra": "mean: 1.4834564393599332 msec\nrounds: 437"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 869.5290815266156,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010541426696267032",
+            "extra": "mean: 1.150047791667093 msec\nrounds: 528"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 853.3442743105309,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001447508143520421",
+            "extra": "mean: 1.171859975046954 msec\nrounds: 521"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 356.09455359893525,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000066294898824367",
+            "extra": "mean: 2.8082428947405 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 477.6346953296427,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020285319685726594",
+            "extra": "mean: 2.093650251495745 msec\nrounds: 167"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 444.4729789266432,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009940885423803322",
+            "extra": "mean: 2.24985555345771 msec\nrounds: 159"
+          }
+        ]
       }
     ]
   }

From 4dd077297b6482a8831ee3a5f81833bd992fa277 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 17 Mar 2025 10:27:00 +0000
Subject: [PATCH 126/150] add TiPg Benchmarks (pytest) benchmark result for
 1a2e5eb6816d51f97ae1d5bbc1d1e952d996987b

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 2e510341..1c965775 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1742207196900,
+  "lastUpdate": 1742207220561,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -35381,6 +35381,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.24985555345771 msec\nrounds: 159"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "1a2e5eb6816d51f97ae1d5bbc1d1e952d996987b",
+          "message": "Bump version: 1.0.0 → 1.0.1",
+          "timestamp": "2025-03-17T11:21:28+01:00",
+          "tree_id": "2c424285cf0a6205b6b270ba1455e8663674535f",
+          "url": "https://github.com/developmentseed/tipg/commit/1a2e5eb6816d51f97ae1d5bbc1d1e952d996987b"
+        },
+        "date": 1742207219245,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 433.9190477312347,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010519820790402951",
+            "extra": "mean: 2.3045773289477496 msec\nrounds: 228"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 207.39923906815253,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002314646590013495",
+            "extra": "mean: 4.821618461538301 msec\nrounds: 117"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 354.55008856111743,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005157519303425636",
+            "extra": "mean: 2.820475956044275 msec\nrounds: 91"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 199.77617767637489,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008744106520963556",
+            "extra": "mean: 5.005601827160485 msec\nrounds: 162"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 574.7472446005853,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011519414338114707",
+            "extra": "mean: 1.7398952485538923 msec\nrounds: 346"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 445.4139265352007,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006027518922696179",
+            "extra": "mean: 2.2451026796104694 msec\nrounds: 103"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 693.4473329928021,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016630506839442232",
+            "extra": "mean: 1.4420705833335146 msec\nrounds: 468"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 215.94030316646257,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001222862879154782",
+            "extra": "mean: 4.630909493672086 msec\nrounds: 158"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 187.4973858142197,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00032739647875527916",
+            "extra": "mean: 5.333407693432281 msec\nrounds: 137"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 115.01572139714204,
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+          },
+          {
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+            "extra": "mean: 3.1802757716051553 msec\nrounds: 162"
+          },
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+            "value": 281.2321388527338,
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+            "extra": "mean: 3.555781370078924 msec\nrounds: 127"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 676.1765409094133,
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+            "extra": "mean: 1.478903717444952 msec\nrounds: 407"
+          },
+          {
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+          },
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+            "extra": "mean: 1.1795900870447602 msec\nrounds: 494"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 353.8675357629921,
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+            "extra": "mean: 2.8259161944422178 msec\nrounds: 36"
+          },
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+            "value": 438.4009425137712,
+            "unit": "iter/sec",
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+            "extra": "mean: 2.281016993864213 msec\nrounds: 163"
+          },
+          {
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+            "value": 439.6291382837644,
+            "unit": "iter/sec",
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+          }
+        ]
       }
     ]
   }

From acdfaa8423fff0667288757a960616a9de134344 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 6 May 2025 07:43:41 +0000
Subject: [PATCH 127/150] add TiPg Benchmarks (pytest) benchmark result for
 52809f829ba9279bee92dd2d7a36607c4225419b

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 1c965775..0a273000 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1742207220561,
+  "lastUpdate": 1746517421320,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -35692,6 +35692,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.2746444967315536 msec\nrounds: 153"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "52809f829ba9279bee92dd2d7a36607c4225419b",
+          "message": "Merge pull request #217 from developmentseed/feature/update-geojson-pydantic\n\nupdate geojson-pydantic req",
+          "timestamp": "2025-05-06T09:36:43+02:00",
+          "tree_id": "43352af17347de1375a3c9e06996bb30ad899ece",
+          "url": "https://github.com/developmentseed/tipg/commit/52809f829ba9279bee92dd2d7a36607c4225419b"
+        },
+        "date": 1746517420682,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 462.6266166575268,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012686068449159032",
+            "extra": "mean: 2.161570398229551 msec\nrounds: 226"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 216.73845263926952,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001151583106498182",
+            "extra": "mean: 4.613855953213611 msec\nrounds: 171"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 375.99027466677137,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009282285394914711",
+            "extra": "mean: 2.6596432604174916 msec\nrounds: 96"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 196.1765134472556,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018096603300563448",
+            "extra": "mean: 5.097450160713872 msec\nrounds: 168"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 585.031887231913,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009680790510723735",
+            "extra": "mean: 1.7093085382602218 msec\nrounds: 379"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 407.1054278874776,
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+            "range": "stddev: 0.00009206751313277901",
+            "extra": "mean: 2.456366168314504 msec\nrounds: 101"
+          },
+          {
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+            "extra": "mean: 1.3905290597941746 msec\nrounds: 485"
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+            "value": 166.94975724290643,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016466696073265822",
+            "extra": "mean: 5.989826020202191 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 325.8712751350527,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010449150884304391",
+            "extra": "mean: 3.068696372779602 msec\nrounds: 169"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 286.5508641397724,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009257197573126424",
+            "extra": "mean: 3.4897818333300323 msec\nrounds: 126"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 672.3062211697056,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008130027501064124",
+            "extra": "mean: 1.4874174423972448 msec\nrounds: 434"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 806.9726245377902,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017620911406180542",
+            "extra": "mean: 1.2391994097355783 msec\nrounds: 493"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 797.1683351352202,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014161946693307397",
+            "extra": "mean: 1.2544401927735558 msec\nrounds: 498"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 343.83665315762494,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009051553383572592",
+            "extra": "mean: 2.908357764701631 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 446.5833438723964,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000850166529721867",
+            "extra": "mean: 2.239223682927442 msec\nrounds: 164"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 445.2288611370528,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009428628603389417",
+            "extra": "mean: 2.246035886905756 msec\nrounds: 168"
+          }
+        ]
       }
     ]
   }

From b314a38036afbb5402c2afd62a34881e191b5c67 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 6 May 2025 07:44:06 +0000
Subject: [PATCH 128/150] add TiPg Benchmarks (pytest) benchmark result for
 871ee56e38281dbfeec493fc20d08b7b60e922cd

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 0a273000..5c474180 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1746517421320,
+  "lastUpdate": 1746517446754,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -36003,6 +36003,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.246035886905756 msec\nrounds: 168"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "871ee56e38281dbfeec493fc20d08b7b60e922cd",
+          "message": "Bump version: 1.0.1 → 1.1.0",
+          "timestamp": "2025-05-06T09:37:52+02:00",
+          "tree_id": "23e32e702e6200a41113d07a84e2bc510ca8144f",
+          "url": "https://github.com/developmentseed/tipg/commit/871ee56e38281dbfeec493fc20d08b7b60e922cd"
+        },
+        "date": 1746517445930,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 469.66292365004085,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011404500566170545",
+            "extra": "mean: 2.1291865924360858 msec\nrounds: 238"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 219.21254789021307,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001368037000245554",
+            "extra": "mean: 4.56178266082115 msec\nrounds: 171"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 396.6026078673252,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000099113396560679",
+            "extra": "mean: 2.5214155937535545 msec\nrounds: 96"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 202.64191432319404,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009549858122364645",
+            "extra": "mean: 4.9348132312108826 msec\nrounds: 173"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 600.0941533981498,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002114372261953805",
+            "extra": "mean: 1.666405170484174 msec\nrounds: 393"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 424.61292673527623,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011266689950373484",
+            "extra": "mean: 2.355086096150453 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 730.4341373758022,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00029061166236028996",
+            "extra": "mean: 1.36904882840314 msec\nrounds: 507"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 208.36104715669978,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00027418193424818724",
+            "extra": "mean: 4.799361558439188 msec\nrounds: 154"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 176.63596398580594,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002267376259093783",
+            "extra": "mean: 5.661361239437953 msec\nrounds: 142"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 108.07172258818875,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003535871466707907",
+            "extra": "mean: 9.253114284210463 msec\nrounds: 95"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 68.89942709286483,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010203999278294518",
+            "extra": "mean: 14.513908782611043 msec\nrounds: 69"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 43.84400813003594,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006044241827273081",
+            "extra": "mean: 22.808133714283667 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 35.06146359852993,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010355795345298466",
+            "extra": "mean: 28.521342162165993 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 182.69047995799906,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004051762875672311",
+            "extra": "mean: 5.4737389722217715 msec\nrounds: 144"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 138.06962852040436,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00041131643689664923",
+            "extra": "mean: 7.242722463414299 msec\nrounds: 123"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 69.57391978067481,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0011504048311846565",
+            "extra": "mean: 14.373201957750911 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 47.00812137410928,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001462153987256573",
+            "extra": "mean: 21.27291988636609 msec\nrounds: 44"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 25.8691759812466,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0024105774253618375",
+            "extra": "mean: 38.656043807693464 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 21.542096165112355,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0017536662272032626",
+            "extra": "mean: 46.420737904768544 msec\nrounds: 21"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 188.0581474625221,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018139060851432158",
+            "extra": "mean: 5.3175042586192065 msec\nrounds: 58"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 142.1800682785906,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0014213056135728922",
+            "extra": "mean: 7.03333464463232 msec\nrounds: 121"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 92.18076234923895,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021952304074544248",
+            "extra": "mean: 10.848250486488368 msec\nrounds: 74"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 55.25538165400983,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006881900442246615",
+            "extra": "mean: 18.097784687501672 msec\nrounds: 48"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 31.831827232456213,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007504262508938331",
+            "extra": "mean: 31.41509887878459 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 25.8689849296141,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010349873159861262",
+            "extra": "mean: 38.65632929629286 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.191485009770181,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001406618926466453",
+            "extra": "mean: 839.2887797999947 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 26.94826444233479,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00033698953121778487",
+            "extra": "mean: 37.10814112500079 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7944507026080402,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012455119948593184",
+            "extra": "mean: 1.2587313431999974 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 18.208592482448104,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000498958737412321",
+            "extra": "mean: 54.91912683333074 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 9.005445189261478,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004936040706827738",
+            "extra": "mean: 111.04392720000646 msec\nrounds: 10"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.275015922450133,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008021203266939976",
+            "extra": "mean: 159.36214542855558 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 253.6257112641205,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002261783517890621",
+            "extra": "mean: 3.94281792258286 msec\nrounds: 155"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 169.40455546520198,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017549366858728174",
+            "extra": "mean: 5.90302897849411 msec\nrounds: 93"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 330.32587976973406,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013796927848487537",
+            "extra": "mean: 3.0273135144515084 msec\nrounds: 173"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 304.43771672153355,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005065379666539084",
+            "extra": "mean: 3.284744120304552 msec\nrounds: 133"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 737.2428593915333,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008259643339121164",
+            "extra": "mean: 1.3564051347005617 msec\nrounds: 438"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 815.0386039254323,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008871483597162662",
+            "extra": "mean: 1.2269357490353792 msec\nrounds: 518"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 795.5117360433494,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017683859101974643",
+            "extra": "mean: 1.2570524791673312 msec\nrounds: 528"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 349.36223386774174,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009873347202605299",
+            "extra": "mean: 2.8623586153807645 msec\nrounds: 39"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 444.3791427210502,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007072034500370493",
+            "extra": "mean: 2.2503306385550355 msec\nrounds: 166"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 442.67442442098087,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008636062371902892",
+            "extra": "mean: 2.2589965555566085 msec\nrounds: 171"
+          }
+        ]
       }
     ]
   }

From d32ae0cdcd14d5ffb35fd2d74c80d79aac78f24c Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Fri, 13 Jun 2025 16:25:40 +0000
Subject: [PATCH 129/150] add TiPg Benchmarks (pytest) benchmark result for
 977154f9d4fd417e80fe8cbb3d9df4bdb133fcf1

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 5c474180..7fc7ee55 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1746517446754,
+  "lastUpdate": 1749831940868,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -36314,6 +36314,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.2589965555566085 msec\nrounds: 171"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "977154f9d4fd417e80fe8cbb3d9df4bdb133fcf1",
+          "message": "Merge pull request #225 from developmentseed/patch/remove-tipg-schema-alias-settings\n\nremove alias for tipg-schema in DatabaseSettings",
+          "timestamp": "2025-06-13T18:20:49+02:00",
+          "tree_id": "3cc3da8f059958cb4f9e2875f4ded19f840ed536",
+          "url": "https://github.com/developmentseed/tipg/commit/977154f9d4fd417e80fe8cbb3d9df4bdb133fcf1"
+        },
+        "date": 1749831939671,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 478.5101187471004,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000819704004717561",
+            "extra": "mean: 2.089819965810409 msec\nrounds: 234"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 219.80247946382462,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008605039787539721",
+            "extra": "mean: 4.549539215569136 msec\nrounds: 167"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 383.06603566955124,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000903365002229216",
+            "extra": "mean: 2.6105159603934234 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 194.59910397105673,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00026103066151115465",
+            "extra": "mean: 5.138769807227544 msec\nrounds: 166"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 579.1662644933525,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002258276665063997",
+            "extra": "mean: 1.7266199040007753 msec\nrounds: 375"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 413.6833832558731,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000836417381009117",
+            "extra": "mean: 2.4173076330249312 msec\nrounds: 109"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 730.6230905133125,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000260840309268699",
+            "extra": "mean: 1.3686947661309632 msec\nrounds: 496"
+          },
+          {
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+          {
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+          },
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+            "extra": "mean: 836.4413212000045 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
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+            "extra": "mean: 39.01325835998932 msec\nrounds: 25"
+          },
+          {
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+          },
+          {
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+            "value": 18.085818729076824,
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+            "range": "stddev: 0.00087509527278349",
+            "extra": "mean: 55.29193977778214 msec\nrounds: 18"
+          },
+          {
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+          },
+          {
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+            "unit": "iter/sec",
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+            "extra": "mean: 3.9755322258051526 msec\nrounds: 155"
+          },
+          {
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+            "value": 162.6860342113954,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002122917398496921",
+            "extra": "mean: 6.146809127454621 msec\nrounds: 102"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 319.3196779900024,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001176684260228836",
+            "extra": "mean: 3.131657924418016 msec\nrounds: 172"
+          },
+          {
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+            "value": 286.14862774307386,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005561791094286563",
+            "extra": "mean: 3.494687386367187 msec\nrounds: 132"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 655.0912427996558,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006077485192550517",
+            "extra": "mean: 1.5265049120887524 msec\nrounds: 455"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 731.4373179974302,
+            "unit": "iter/sec",
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+            "extra": "mean: 1.367171151094472 msec\nrounds: 503"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 814.4953897480708,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010721025933408719",
+            "extra": "mean: 1.2277540334627395 msec\nrounds: 508"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 358.7977002538416,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006596278623952593",
+            "extra": "mean: 2.7870858684225728 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 451.53369286075974,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00033122411673831126",
+            "extra": "mean: 2.214674155685591 msec\nrounds: 167"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 420.4407798576566,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00023158217884610297",
+            "extra": "mean: 2.378456248555522 msec\nrounds: 173"
+          }
+        ]
       }
     ]
   }

From b4c8c630f1b5c67c7f71c44b4796a6c45b19a3be Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Fri, 13 Jun 2025 16:26:32 +0000
Subject: [PATCH 130/150] add TiPg Benchmarks (pytest) benchmark result for
 1aee146a070456cf45399befabdc5a5c39a5e3d0

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 7fc7ee55..9dc23d89 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1749831940868,
+  "lastUpdate": 1749831992038,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -36625,6 +36625,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.378456248555522 msec\nrounds: 173"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "1aee146a070456cf45399befabdc5a5c39a5e3d0",
+          "message": "Bump version: 1.1.0 → 1.1.1",
+          "timestamp": "2025-06-13T18:21:09+02:00",
+          "tree_id": "47063eb50c0ef0810ee43fb2caf291161b042264",
+          "url": "https://github.com/developmentseed/tipg/commit/1aee146a070456cf45399befabdc5a5c39a5e3d0"
+        },
+        "date": 1749831990711,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 472.6523582851424,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009711697848434183",
+            "extra": "mean: 2.115719899564573 msec\nrounds: 229"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 216.06417920682773,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009060412267721736",
+            "extra": "mean: 4.628254455092941 msec\nrounds: 167"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 366.0612601777688,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007339147646558774",
+            "extra": "mean: 2.7317831980209384 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 199.6286874654959,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00023957429380077312",
+            "extra": "mean: 5.0093000795431335 msec\nrounds: 176"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 616.1625814145484,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001906071078721419",
+            "extra": "mean: 1.622948277229463 msec\nrounds: 404"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 431.85069884918795,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006458688892827973",
+            "extra": "mean: 2.3156151018507964 msec\nrounds: 108"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 745.8763118775405,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00024797482846083713",
+            "extra": "mean: 1.3407048649698665 msec\nrounds: 511"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 230.42676423237205,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010284045066328456",
+            "extra": "mean: 4.339773651430343 msec\nrounds: 175"
+          },
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+            "range": "stddev: 0.00012174051265837078",
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+            "extra": "mean: 7.909416359223308 msec\nrounds: 103"
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+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.128467654765948,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00894602856983195",
+            "extra": "mean: 163.17292614285503 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 245.88282829377448,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020188822152702215",
+            "extra": "mean: 4.066977783439296 msec\nrounds: 157"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 160.21925861031667,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00023940571511427302",
+            "extra": "mean: 6.241446931371639 msec\nrounds: 102"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 324.0296694079083,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001980476317918631",
+            "extra": "mean: 3.0861371485743154 msec\nrounds: 175"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 296.5364141489122,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013434498911022442",
+            "extra": "mean: 3.372267122302991 msec\nrounds: 139"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 741.4369572068733,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007252661497917744",
+            "extra": "mean: 1.3487323369571165 msec\nrounds: 460"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 855.0039126541787,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015407438088377813",
+            "extra": "mean: 1.1695852910142968 msec\nrounds: 512"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 845.8850656884204,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011415580785694648",
+            "extra": "mean: 1.1821937052241889 msec\nrounds: 536"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 359.6866599132059,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006781657776927223",
+            "extra": "mean: 2.7801976315755073 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 377.1471833213901,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005336921222942024",
+            "extra": "mean: 2.6514847365248357 msec\nrounds: 167"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 433.30932469478006,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010392638527943116",
+            "extra": "mean: 2.3078201714315583 msec\nrounds: 175"
+          }
+        ]
       }
     ]
   }

From 74a349867005873df6dd015bd877faabb055eb19 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 2 Jul 2025 15:01:09 +0000
Subject: [PATCH 131/150] add TiPg Benchmarks (pytest) benchmark result for
 2ab3a83bb727220e3f237aee67547eafea6586ee

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 9dc23d89..527c3d3f 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1749831992038,
+  "lastUpdate": 1751468469785,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -36936,6 +36936,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.3078201714315583 msec\nrounds: 175"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "2ab3a83bb727220e3f237aee67547eafea6586ee",
+          "message": "Merge pull request #227 from developmentseed/fix/tileset-rel\n\nfix rel for tiling-scheme and openapi media-type",
+          "timestamp": "2025-07-02T16:55:44+02:00",
+          "tree_id": "c259089b041aea7b7c678af82ea2db17e338bb1a",
+          "url": "https://github.com/developmentseed/tipg/commit/2ab3a83bb727220e3f237aee67547eafea6586ee"
+        },
+        "date": 1751468469059,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 475.01669516778895,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006438631070166344",
+            "extra": "mean: 2.1051891652919115 msec\nrounds: 242"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 223.03789292966695,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000209576406512335",
+            "extra": "mean: 4.48354307362176 msec\nrounds: 163"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 378.7757674123718,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008976902674637236",
+            "extra": "mean: 2.6400844141417936 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 200.69388483775057,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009400273113489476",
+            "extra": "mean: 4.982712855493541 msec\nrounds: 173"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 603.8932985554129,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009009179448217628",
+            "extra": "mean: 1.6559216709178972 msec\nrounds: 392"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 417.6313299870907,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003593142033623318",
+            "extra": "mean: 2.3944563738331386 msec\nrounds: 107"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 740.4285527778168,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007180379156703882",
+            "extra": "mean: 1.350569202454938 msec\nrounds: 489"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 227.57390160073712,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017279438733246427",
+            "extra": "mean: 4.394176981481961 msec\nrounds: 162"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 192.69152220893272,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015913612138069194",
+            "extra": "mean: 5.189641913336042 msec\nrounds: 150"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 126.52238181185201,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00024088548366860488",
+            "extra": "mean: 7.903739920791823 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 80.12417297491427,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006873811552413266",
+            "extra": "mean: 12.48062804109174 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 48.57753178460438,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002089339171488516",
+            "extra": "mean: 20.585648617020283 msec\nrounds: 47"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 38.678255979086174,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007028630241855412",
+            "extra": "mean: 25.854319815782613 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 211.0344921223581,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00024384407053410577",
+            "extra": "mean: 4.738561881250192 msec\nrounds: 160"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 157.50934006869133,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004008791088691894",
+            "extra": "mean: 6.348829850749743 msec\nrounds: 134"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 74.51915501765156,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006068043383841067",
+            "extra": "mean: 13.419368479998562 msec\nrounds: 75"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 47.35954774284297,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012075983292710332",
+            "extra": "mean: 21.115066499998857 msec\nrounds: 46"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 26.75944801286119,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006895119702630136",
+            "extra": "mean: 37.36997861538017 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 20.743674770805654,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0036487582791808817",
+            "extra": "mean: 48.2074661818062 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 193.35573322198553,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001278362483278782",
+            "extra": "mean: 5.171814578944665 msec\nrounds: 57"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 152.9003080599352,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00046217571430420313",
+            "extra": "mean: 6.540209190474693 msec\nrounds: 126"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 93.90527756833127,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016885751242293168",
+            "extra": "mean: 10.64902874359046 msec\nrounds: 78"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 58.23944638462824,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007278742624770806",
+            "extra": "mean: 17.17049288888743 msec\nrounds: 54"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 32.68377641768213,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007244997068662956",
+            "extra": "mean: 30.59621958064165 msec\nrounds: 31"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 26.80293211172477,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008452881540860385",
+            "extra": "mean: 37.30935092592188 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.2027515923574839,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003240201377396976",
+            "extra": "mean: 831.426876799992 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 27.362175477667236,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00030961744556829123",
+            "extra": "mean: 36.54680165384478 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8101688082603561,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0043330937696172",
+            "extra": "mean: 1.2343106644000046 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 16.507745030903536,
+            "unit": "iter/sec",
+            "range": "stddev: 0.015134090831084818",
+            "extra": "mean: 60.57762572222537 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.897319892556766,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006558644622413112",
+            "extra": "mean: 112.39339622222309 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.210934425829839,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008051434002853592",
+            "extra": "mean: 161.0063690000061 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 237.85781620258558,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015855469654237693",
+            "extra": "mean: 4.204192302632978 msec\nrounds: 152"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 164.07161087547365,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00032346129165706236",
+            "extra": "mean: 6.0948996274497205 msec\nrounds: 102"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 313.2477206310726,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021992238732996332",
+            "extra": "mean: 3.192361617142459 msec\nrounds: 175"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 298.8924324749707,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019770980937175268",
+            "extra": "mean: 3.3456852410732756 msec\nrounds: 112"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 736.0658185180196,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00024204110953487983",
+            "extra": "mean: 1.3585741585085154 msec\nrounds: 429"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 824.6904768574136,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011299376458007127",
+            "extra": "mean: 1.2125761459143136 msec\nrounds: 514"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 836.9588202868805,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006306252174796586",
+            "extra": "mean: 1.1948019135006362 msec\nrounds: 474"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 342.8864872233962,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000650120499945153",
+            "extra": "mean: 2.916417057136706 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 460.65308998657713,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010394994913622533",
+            "extra": "mean: 2.1708309826579884 msec\nrounds: 173"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 432.9686637464608,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008429136434139604",
+            "extra": "mean: 2.309635970758344 msec\nrounds: 171"
+          }
+        ]
       }
     ]
   }

From a209eb7b97fa3ed4957db0f688e3a195a5e30e1d Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 2 Jul 2025 15:07:06 +0000
Subject: [PATCH 132/150] add TiPg Benchmarks (pytest) benchmark result for
 b325f00130bd59f695341546f1f31a685932bc68

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 527c3d3f..ab25bc38 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1751468469785,
+  "lastUpdate": 1751468826317,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -37247,6 +37247,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.309635970758344 msec\nrounds: 171"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "b325f00130bd59f695341546f1f31a685932bc68",
+          "message": "Bump version: 1.1.1 → 1.1.2",
+          "timestamp": "2025-07-02T16:59:56+02:00",
+          "tree_id": "169321e224dc2474d746724f42532ca256e35f41",
+          "url": "https://github.com/developmentseed/tipg/commit/b325f00130bd59f695341546f1f31a685932bc68"
+        },
+        "date": 1751468825200,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 467.23762152629644,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007872987487409079",
+            "extra": "mean: 2.14023861506135 msec\nrounds: 239"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 219.27061051959018,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008707036328846229",
+            "extra": "mean: 4.560574705521958 msec\nrounds: 163"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 361.5438487665249,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000995214268467899",
+            "extra": "mean: 2.765916232323379 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 197.2209023819906,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015501045403875797",
+            "extra": "mean: 5.070456467454616 msec\nrounds: 169"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 583.9324319141333,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010402819168113645",
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+            "extra": "mean: 52.50610085714752 msec\nrounds: 21"
+          },
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+          {
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+          },
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+            "extra": "mean: 37.48921671999369 msec\nrounds: 25"
+          },
+          {
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+            "value": 1.1932374103127839,
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+          },
+          {
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
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+          },
+          {
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+            "value": 17.54075211209993,
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+            "range": "stddev: 0.0007558749853684474",
+            "extra": "mean: 57.010098176473385 msec\nrounds: 17"
+          },
+          {
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+            "value": 8.562502333995317,
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+          },
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+            "extra": "mean: 164.87356671429356 msec\nrounds: 7"
+          },
+          {
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+            "value": 232.22408357048346,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004945248971670568",
+            "extra": "mean: 4.306185580000299 msec\nrounds: 150"
+          },
+          {
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+            "value": 155.98225888981534,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001908081396682674",
+            "extra": "mean: 6.4109855000009475 msec\nrounds: 100"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 310.5417384432539,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005885511124186534",
+            "extra": "mean: 3.220179049080491 msec\nrounds: 163"
+          },
+          {
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+            "value": 285.908830499158,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016096133092515023",
+            "extra": "mean: 3.4976184480001393 msec\nrounds: 125"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 710.0625981115451,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002159852487942913",
+            "extra": "mean: 1.4083265372089182 msec\nrounds: 430"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 841.5073278672857,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008212379455289411",
+            "extra": "mean: 1.1883437813125144 msec\nrounds: 503"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 774.2058116694449,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011440131468754745",
+            "extra": "mean: 1.2916462068964167 msec\nrounds: 493"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 347.41582249068705,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008864324494250675",
+            "extra": "mean: 2.878395096777166 msec\nrounds: 31"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 448.78880627599216,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011364653502587295",
+            "extra": "mean: 2.2282195679030123 msec\nrounds: 162"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 426.6435138091083,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001075672366562949",
+            "extra": "mean: 2.3438771893469514 msec\nrounds: 169"
+          }
+        ]
       }
     ]
   }

From 6919d2d67003d94911113ae57ef68482eb8ca5c9 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 23 Jul 2025 08:53:48 +0000
Subject: [PATCH 133/150] add TiPg Benchmarks (pytest) benchmark result for
 f16c76701e17e0ab85751edfb217e9b6d46a6a60

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index ab25bc38..a3d4241e 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1751468826317,
+  "lastUpdate": 1753260828808,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -37558,6 +37558,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.3438771893469514 msec\nrounds: 169"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "f16c76701e17e0ab85751edfb217e9b6d46a6a60",
+          "message": "Merge pull request #229 from developmentseed/feature/enable-external-use-of-api\n\nextract pool/connection creation within FastAPI endpoint",
+          "timestamp": "2025-07-23T10:48:22+02:00",
+          "tree_id": "789198173c9b20b828950bdbc215158122274f4c",
+          "url": "https://github.com/developmentseed/tipg/commit/f16c76701e17e0ab85751edfb217e9b6d46a6a60"
+        },
+        "date": 1753260828100,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 419.5888382310894,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003196641895174919",
+            "extra": "mean: 2.3832855140184828 msec\nrounds: 214"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 224.72744590409332,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010377839066886825",
+            "extra": "mean: 4.449834758620311 msec\nrounds: 174"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 373.1679688851816,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009859201187127906",
+            "extra": "mean: 2.679758402060723 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 194.9152625444595,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015496764032561834",
+            "extra": "mean: 5.130434563952648 msec\nrounds: 172"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 611.9893007265172,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007465610184041186",
+            "extra": "mean: 1.6340154947363617 msec\nrounds: 380"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 431.3153410952159,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000967658759857643",
+            "extra": "mean: 2.3184892924530662 msec\nrounds: 106"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 723.3495649072366,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009392214911953138",
+            "extra": "mean: 1.3824574569672154 msec\nrounds: 488"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 216.7619559404979,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016044885278914306",
+            "extra": "mean: 4.6133556770197455 msec\nrounds: 161"
+          },
+          {
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+            "value": 186.60799492496173,
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+            "range": "stddev: 0.0002465720398978192",
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+          },
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+            "unit": "iter/sec",
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+            "extra": "mean: 8.420830178947295 msec\nrounds: 95"
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+          {
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+            "extra": "mean: 1.242939614399998 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 17.58520080476687,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007689065915993",
+            "extra": "mean: 56.86599835294046 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.6267360634158,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00683792874409868",
+            "extra": "mean: 115.91869655555973 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.013101592286541,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009473319886772585",
+            "extra": "mean: 166.30352649999716 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 250.28908473275803,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013314540745339948",
+            "extra": "mean: 3.9953799865772543 msec\nrounds: 149"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 164.36571054235478,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012724194208240766",
+            "extra": "mean: 6.083994019800826 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 323.5933176380657,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012023774019297018",
+            "extra": "mean: 3.090298672726256 msec\nrounds: 165"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 283.5397730803364,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012214369269819263",
+            "extra": "mean: 3.5268420692312055 msec\nrounds: 130"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 737.5424487521191,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001903464979072461",
+            "extra": "mean: 1.3558541636375567 msec\nrounds: 440"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 838.5021605039574,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009834570599966381",
+            "extra": "mean: 1.1926027708729803 msec\nrounds: 515"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 776.843948359569,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011173616154723295",
+            "extra": "mean: 1.2872598185409836 msec\nrounds: 507"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 355.3816542958238,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015979161077472174",
+            "extra": "mean: 2.8138762592612285 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 465.4208577680686,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009761087707790917",
+            "extra": "mean: 2.14859300632875 msec\nrounds: 158"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 439.65393101391885,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011951881012407082",
+            "extra": "mean: 2.274516226191416 msec\nrounds: 168"
+          }
+        ]
       }
     ]
   }

From 143f5b462507edfbdbd8fbcf114ab2d4b0941905 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 23 Jul 2025 08:57:01 +0000
Subject: [PATCH 134/150] add TiPg Benchmarks (pytest) benchmark result for
 4d5a4e91490a0e29ee69ee03a8f41c010d088c66

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index a3d4241e..0410b92b 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1753260828808,
+  "lastUpdate": 1753261021834,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -37869,6 +37869,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.274516226191416 msec\nrounds: 168"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "4d5a4e91490a0e29ee69ee03a8f41c010d088c66",
+          "message": "Bump version: 1.1.2 → 1.2.0",
+          "timestamp": "2025-07-23T10:50:15+02:00",
+          "tree_id": "453c053a7ed63834a48484648a15acb2be2b2aa8",
+          "url": "https://github.com/developmentseed/tipg/commit/4d5a4e91490a0e29ee69ee03a8f41c010d088c66"
+        },
+        "date": 1753261020507,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 427.96660166076407,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002674077905825365",
+            "extra": "mean: 2.3366309336275477 msec\nrounds: 226"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 222.01158241119018,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012418937954491627",
+            "extra": "mean: 4.504269503146411 msec\nrounds: 159"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 374.0917838562505,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007775621473178603",
+            "extra": "mean: 2.673140772277059 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 198.9111953264093,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008377246360495356",
+            "extra": "mean: 5.027369114941067 msec\nrounds: 174"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 616.9276335254663,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000721340125048675",
+            "extra": "mean: 1.6209356586694714 msec\nrounds: 375"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 432.71088929611057,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008138451312693521",
+            "extra": "mean: 2.31101186666852 msec\nrounds: 105"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 744.9457477652959,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007916750417647102",
+            "extra": "mean: 1.3423796336844946 msec\nrounds: 475"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 230.9610127729252,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002962763192683275",
+            "extra": "mean: 4.32973508383068 msec\nrounds: 167"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 193.9725960979404,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020341231177764928",
+            "extra": "mean: 5.155367408162549 msec\nrounds: 147"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 125.11661344359506,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002258189644244519",
+            "extra": "mean: 7.992543695652528 msec\nrounds: 69"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 75.09528848978131,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007829870317876242",
+            "extra": "mean: 13.316414652779132 msec\nrounds: 72"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 47.461883886518756,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003739489460670826",
+            "extra": "mean: 21.06953871428697 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 37.95262434627543,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007276913159266712",
+            "extra": "mean: 26.348639052628187 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 202.55237548680452,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00032613424500921675",
+            "extra": "mean: 4.936994679014003 msec\nrounds: 162"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 150.96048768267565,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00045282824971552285",
+            "extra": "mean: 6.6242499302336375 msec\nrounds: 129"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 77.93666380244392,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008543546579372953",
+            "extra": "mean: 12.830931569445012 msec\nrounds: 72"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 46.28670042517843,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012851840783535233",
+            "extra": "mean: 21.604477977782864 msec\nrounds: 45"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 26.13819464774338,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0016330884829647535",
+            "extra": "mean: 38.25818934615418 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 20.748650467218976,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003603193738437349",
+            "extra": "mean: 48.19590563636469 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 187.40622341644666,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002479038885829229",
+            "extra": "mean: 5.336002090911569 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 155.02943465744076,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00025570401389503523",
+            "extra": "mean: 6.450387967998722 msec\nrounds: 125"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 92.47544550181372,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00032002127268776373",
+            "extra": "mean: 10.813681346151363 msec\nrounds: 78"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 56.978828212295625,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006973963533911055",
+            "extra": "mean: 17.55037847170411 msec\nrounds: 53"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 30.615302474380552,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008946517109716355",
+            "extra": "mean: 32.66340421875036 msec\nrounds: 32"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 26.701030662762467,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0014854685144292585",
+            "extra": "mean: 37.45173782353691 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.1800670889758906,
+            "unit": "iter/sec",
+            "range": "stddev: 0.03252413731159895",
+            "extra": "mean: 847.4094476000005 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 26.884611248523772,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005632222163550317",
+            "extra": "mean: 37.195999999996644 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8061678198560619,
+            "unit": "iter/sec",
+            "range": "stddev: 0.017648668337894784",
+            "extra": "mean: 1.2404365138000002 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 18.10302381977697,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0010744851272661315",
+            "extra": "mean: 55.2393903888881 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.895438110171591,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005075341165962055",
+            "extra": "mean: 112.41717244443963 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.19879214887838,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007603056637258405",
+            "extra": "mean: 161.32175042858015 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 258.9409982845952,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001628322828902077",
+            "extra": "mean: 3.861883620688473 msec\nrounds: 145"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 167.19398474720325,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001315512936615583",
+            "extra": "mean: 5.981076421571007 msec\nrounds: 102"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 316.7987408788685,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018675152550992163",
+            "extra": "mean: 3.1565782023810534 msec\nrounds: 168"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 254.76416449903857,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0059465034673748625",
+            "extra": "mean: 3.925198828361019 msec\nrounds: 134"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 657.4058065157913,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011483595068749178",
+            "extra": "mean: 1.5211304647580406 msec\nrounds: 454"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 796.4107214577666,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011761681602070009",
+            "extra": "mean: 1.2556335230766098 msec\nrounds: 520"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 811.863780052103,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013058823245670146",
+            "extra": "mean: 1.2317337274682003 msec\nrounds: 466"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 339.3229169369327,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00031536550316169543",
+            "extra": "mean: 2.9470452777755125 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 437.2427130476499,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007437703506774685",
+            "extra": "mean: 2.2870592697356673 msec\nrounds: 152"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 425.5469817183302,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009452275892314629",
+            "extra": "mean: 2.3499167964065144 msec\nrounds: 167"
+          }
+        ]
       }
     ]
   }

From b8e0e62613d54bad0a3ba7ff5b93d13c507cfbf6 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 26 Aug 2025 11:36:06 +0000
Subject: [PATCH 135/150] add TiPg Benchmarks (pytest) benchmark result for
 0816f8a49338fe882b93f906a9517a6a680cab14

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 0410b92b..0da2e753 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1753261021834,
+  "lastUpdate": 1756208166299,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -38180,6 +38180,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.3499167964065144 msec\nrounds: 167"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "0816f8a49338fe882b93f906a9517a6a680cab14",
+          "message": "Merge pull request #230 from developmentseed/dependabot/github_actions/all-a331d3ec2d\n\nBump actions/checkout from 4 to 5 in the all group",
+          "timestamp": "2025-08-26T13:29:56+02:00",
+          "tree_id": "e19db97a2b3bcc61bd2bb93d64c800d4c58aeeb1",
+          "url": "https://github.com/developmentseed/tipg/commit/0816f8a49338fe882b93f906a9517a6a680cab14"
+        },
+        "date": 1756208165628,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 439.3567491925858,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0025612506720998638",
+            "extra": "mean: 2.2760547137098013 msec\nrounds: 248"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 213.7027989434843,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007083406381660931",
+            "extra": "mean: 4.67939589440969 msec\nrounds: 161"
+          },
+          {
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+          },
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+          },
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+          },
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+            "extra": "mean: 4.077151670968203 msec\nrounds: 155"
+          },
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+            "unit": "iter/sec",
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+            "extra": "mean: 6.033934588233434 msec\nrounds: 102"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 323.1566219774748,
+            "unit": "iter/sec",
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+            "extra": "mean: 3.0944747283244705 msec\nrounds: 173"
+          },
+          {
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+            "value": 305.9195729894601,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005435918206409401",
+            "extra": "mean: 3.2688330145990796 msec\nrounds: 137"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 706.5295898309948,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021815869913545516",
+            "extra": "mean: 1.415368888144097 msec\nrounds: 447"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 765.4115112665231,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005666909358387631",
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 794.8187436882015,
+            "unit": "iter/sec",
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+            "extra": "mean: 1.2581484872383544 msec\nrounds: 431"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 348.5860611524418,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006276912768181673",
+            "extra": "mean: 2.8687320333290245 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 440.05976159134264,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008470553073055679",
+            "extra": "mean: 2.2724186287421584 msec\nrounds: 167"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 437.9739547992473,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011373788950696109",
+            "extra": "mean: 2.283240793298695 msec\nrounds: 179"
+          }
+        ]
       }
     ]
   }

From 70c98d71dfb9e6030cda6e299af6128581bd8500 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 26 Aug 2025 11:44:19 +0000
Subject: [PATCH 136/150] add TiPg Benchmarks (pytest) benchmark result for
 df182ecb380fabf84994e206b5847f9718fb9b2f

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 0da2e753..82c81617 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1756208166299,
+  "lastUpdate": 1756208659119,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -38491,6 +38491,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.283240793298695 msec\nrounds: 179"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "df182ecb380fabf84994e206b5847f9718fb9b2f",
+          "message": "update starlette-cramjam and fix docs",
+          "timestamp": "2025-08-26T13:37:19+02:00",
+          "tree_id": "63ce22667ad6df5f27707641dc93e0c94e6d7a64",
+          "url": "https://github.com/developmentseed/tipg/commit/df182ecb380fabf84994e206b5847f9718fb9b2f"
+        },
+        "date": 1756208658122,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 427.9855398830141,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0033690783068706896",
+            "extra": "mean: 2.3365275384615583 msec\nrounds: 234"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 220.2762266819406,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014984221123910254",
+            "extra": "mean: 4.539754539394355 msec\nrounds: 165"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 381.44550352739657,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010163821272877218",
+            "extra": "mean: 2.621606470000444 msec\nrounds: 100"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 194.80982808949773,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001906673241084128",
+            "extra": "mean: 5.1332112440476525 msec\nrounds: 168"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 565.5885258256059,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000100388213270073",
+            "extra": "mean: 1.7680698146064249 msec\nrounds: 356"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 437.87859555587926,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011713051254357771",
+            "extra": "mean: 2.28373802727333 msec\nrounds: 110"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 736.4270634269262,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010384379537553589",
+            "extra": "mean: 1.3579077272724749 msec\nrounds: 484"
+          },
+          {
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+            "value": 190.16577080857184,
+            "unit": "iter/sec",
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+            "extra": "mean: 5.2585699084965105 msec\nrounds: 153"
+          },
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+            "unit": "iter/sec",
+            "range": "stddev: 0.004268895403328705",
+            "extra": "mean: 813.9901467999948 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 26.289673533386658,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001631238301214672",
+            "extra": "mean: 38.037748879994524 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8166610137636319,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0029392379246837397",
+            "extra": "mean: 1.224498271799996 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 17.170216591141788,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014563675813680328",
+            "extra": "mean: 58.24038355555198 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.834116528804376,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00582688290004674",
+            "extra": "mean: 113.19751066667688 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.128175589949669,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008792158537151037",
+            "extra": "mean: 163.18070285714725 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 255.81183933710764,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011712039435372276",
+            "extra": "mean: 3.9091232156859035 msec\nrounds: 153"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 164.0912495092669,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013732539686581372",
+            "extra": "mean: 6.094170182691709 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 324.52948795024423,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011550767348183969",
+            "extra": "mean: 3.0813840872091003 msec\nrounds: 172"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 301.8753922809547,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008915272035351687",
+            "extra": "mean: 3.312625094891148 msec\nrounds: 137"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 762.0968045946886,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000805332309397298",
+            "extra": "mean: 1.3121692598249868 msec\nrounds: 458"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 758.4745218600344,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015844284448272026",
+            "extra": "mean: 1.3184358487713788 msec\nrounds: 529"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 864.2881766132704,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012508543457133534",
+            "extra": "mean: 1.1570214970642303 msec\nrounds: 511"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 349.4995623699363,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012681999874815028",
+            "extra": "mean: 2.861233911765319 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 461.98535162793195,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011857665784749117",
+            "extra": "mean: 2.164570795321164 msec\nrounds: 171"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 444.65102749010185,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012784682082521377",
+            "extra": "mean: 2.248954659218145 msec\nrounds: 179"
+          }
+        ]
       }
     ]
   }

From 49e36c43824a6b53f3b5cdca25a991a7e594d584 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 27 Aug 2025 07:47:22 +0000
Subject: [PATCH 137/150] add TiPg Benchmarks (pytest) benchmark result for
 b9aff728e857b9d40b56f315d91aa8b6ab397f8f

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 82c81617..d52b0901 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1756208659119,
+  "lastUpdate": 1756280842681,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -38802,6 +38802,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.248954659218145 msec\nrounds: 179"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "b9aff728e857b9d40b56f315d91aa8b6ab397f8f",
+          "message": "Bump version: 1.2.0 → 1.2.1",
+          "timestamp": "2025-08-27T09:39:47+02:00",
+          "tree_id": "322eb45c5e2f094cb8e08d93b51b0be882b80d17",
+          "url": "https://github.com/developmentseed/tipg/commit/b9aff728e857b9d40b56f315d91aa8b6ab397f8f"
+        },
+        "date": 1756280842006,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 432.91689414320774,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0024823329439436184",
+            "extra": "mean: 2.3099121645024154 msec\nrounds: 231"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 224.49791403509508,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000958714622064108",
+            "extra": "mean: 4.454384372781624 msec\nrounds: 169"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 412.8636042708691,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007366944788306846",
+            "extra": "mean: 2.4221074215685188 msec\nrounds: 102"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 203.25128026006817,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017939702016642179",
+            "extra": "mean: 4.920018209580082 msec\nrounds: 167"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 603.7361014582863,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009657139182067853",
+            "extra": "mean: 1.65635282962964 msec\nrounds: 405"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 458.0685819630919,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006857814657661079",
+            "extra": "mean: 2.183079214283623 msec\nrounds: 112"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 735.5684712211028,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006080210466253141",
+            "extra": "mean: 1.359492744896909 msec\nrounds: 490"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 226.82627554614913,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003227708275740946",
+            "extra": "mean: 4.408660317647125 msec\nrounds: 170"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 193.74841734206217,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003460420507942109",
+            "extra": "mean: 5.161332483219739 msec\nrounds: 149"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 126.32607505693076,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00028400758246547453",
+            "extra": "mean: 7.916022084508957 msec\nrounds: 71"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 81.92870501168836,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006869476603823178",
+            "extra": "mean: 12.205734239999705 msec\nrounds: 75"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 48.580467492428674,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020879593888181375",
+            "extra": "mean: 20.584404630438176 msec\nrounds: 46"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 38.836298013335075,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006909698114670925",
+            "extra": "mean: 25.74910717949053 msec\nrounds: 39"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 210.2565539317423,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00027987320809626655",
+            "extra": "mean: 4.756094310975152 msec\nrounds: 164"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 158.86489718297182,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003768406726542657",
+            "extra": "mean: 6.2946567664237065 msec\nrounds: 137"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 78.33708679128762,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005486712274269302",
+            "extra": "mean: 12.765345776315192 msec\nrounds: 76"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 47.501581549993915,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0013945859750346206",
+            "extra": "mean: 21.051930638299517 msec\nrounds: 47"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 27.007639569984814,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006779469606740304",
+            "extra": "mean: 37.02656048147796 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 20.088902029708198,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0035348011029723648",
+            "extra": "mean: 49.77872850000283 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 197.99763326138893,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015077319498072497",
+            "extra": "mean: 5.050565421051464 msec\nrounds: 57"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 159.99032018567823,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013771077979755436",
+            "extra": "mean: 6.250378140624013 msec\nrounds: 128"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 93.96865862352173,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00032551339944552845",
+            "extra": "mean: 10.641846064935585 msec\nrounds: 77"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 58.67644256882901,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007043720132083427",
+            "extra": "mean: 17.04261465454341 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 31.537127135308648,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009031893863440235",
+            "extra": "mean: 31.7086586774231 msec\nrounds: 31"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 27.226884700563144,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007858375102580821",
+            "extra": "mean: 36.728403230771264 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.2418789215580535,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005274434183760389",
+            "extra": "mean: 805.2314784000089 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 28.09890825215001,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004747069650374046",
+            "extra": "mean: 35.58857130769429 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8198311199214356,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013538600103635091",
+            "extra": "mean: 1.219763407000005 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 17.39692888418947,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012928503078702452",
+            "extra": "mean: 57.481409888892024 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 9.061020909810539,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005155070001117301",
+            "extra": "mean: 110.362839900003 msec\nrounds: 10"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.2376930260901915,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008382527078385363",
+            "extra": "mean: 160.31568014285622 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 245.81514665267727,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017492433426626817",
+            "extra": "mean: 4.068097566879972 msec\nrounds: 157"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 165.80267371667833,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006526594712028193",
+            "extra": "mean: 6.031265826923806 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 323.5564599494068,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010661457619767591",
+            "extra": "mean: 3.0906507017550067 msec\nrounds: 171"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 287.26302250262114,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004889481953983492",
+            "extra": "mean: 3.481130259258744 msec\nrounds: 135"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 675.0847664549325,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011222573769245148",
+            "extra": "mean: 1.4812954604964537 msec\nrounds: 443"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 885.8293748359788,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006451181455939471",
+            "extra": "mean: 1.1288855714286525 msec\nrounds: 434"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 789.0883859374085,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019022053496895328",
+            "extra": "mean: 1.267285158191799 msec\nrounds: 531"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 348.8388084846682,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000050028186815640454",
+            "extra": "mean: 2.8666535250017944 msec\nrounds: 40"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 479.7968461966678,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005168391591455356",
+            "extra": "mean: 2.0842154506161594 msec\nrounds: 162"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 443.24051639019945,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001356297997991714",
+            "extra": "mean: 2.256111440678105 msec\nrounds: 177"
+          }
+        ]
       }
     ]
   }

From 8a7fb84fda9870500131eb3b5dfa5993fafa9f1b Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 18 Sep 2025 11:37:02 +0000
Subject: [PATCH 138/150] add TiPg Benchmarks (pytest) benchmark result for
 ab12a2b26ab1a9a0318069d30a57e83887529c59

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index d52b0901..2f49dbc0 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1756280842681,
+  "lastUpdate": 1758195422500,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -39113,6 +39113,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.256111440678105 msec\nrounds: 177"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "ab12a2b26ab1a9a0318069d30a57e83887529c59",
+          "message": "Merge pull request #233 from developmentseed/dependabot/github_actions/all-1cc54e3a68\n\nBump actions/setup-python from 5 to 6 in the all group",
+          "timestamp": "2025-09-18T13:30:45+02:00",
+          "tree_id": "09287ed77d7341c926cd5b959db013d5abd1212f",
+          "url": "https://github.com/developmentseed/tipg/commit/ab12a2b26ab1a9a0318069d30a57e83887529c59"
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+          },
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+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
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+          },
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+          },
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+          },
+          {
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+            "unit": "iter/sec",
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+            "extra": "mean: 773.7875161999966 msec\nrounds: 5"
+          },
+          {
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+            "unit": "iter/sec",
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+            "extra": "mean: 34.20832357692278 msec\nrounds: 26"
+          },
+          {
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+          },
+          {
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+            "value": 19.12865755474615,
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+            "extra": "mean: 52.277583888885225 msec\nrounds: 9"
+          },
+          {
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+            "value": 9.166671351854191,
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+            "extra": "mean: 109.090853333334 msec\nrounds: 9"
+          },
+          {
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+            "value": 6.4337932882179585,
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+            "extra": "mean: 155.4293019999997 msec\nrounds: 7"
+          },
+          {
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+            "value": 256.5937806017166,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006302707238297075",
+            "extra": "mean: 3.897210593549788 msec\nrounds: 155"
+          },
+          {
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+            "value": 173.83705284895765,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002374702438765043",
+            "extra": "mean: 5.752513538462212 msec\nrounds: 104"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 338.92379790410166,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005326234295088517",
+            "extra": "mean: 2.950515738888744 msec\nrounds: 180"
+          },
+          {
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+            "value": 311.5321422199861,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016623359711853206",
+            "extra": "mean: 3.2099416544115615 msec\nrounds: 136"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 710.4708327981673,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003098024457632217",
+            "extra": "mean: 1.4075173164555272 msec\nrounds: 474"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 862.8155215477062,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001862761940996367",
+            "extra": "mean: 1.158996303411666 msec\nrounds: 557"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 830.8243065141777,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010845940657985748",
+            "extra": "mean: 1.2036239096032457 msec\nrounds: 531"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 377.97590307413054,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006134077173237777",
+            "extra": "mean: 2.645671303029799 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 467.5643186275218,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011063723011145794",
+            "extra": "mean: 2.1387431849705267 msec\nrounds: 173"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 463.90985282879075,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013656429433611477",
+            "extra": "mean: 2.155591207865674 msec\nrounds: 178"
+          }
+        ]
       }
     ]
   }

From f903eda6482639ad21222bd3bc33a2dc8d18a1f5 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 6 Oct 2025 08:38:04 +0000
Subject: [PATCH 139/150] add TiPg Benchmarks (pytest) benchmark result for
 22ebea167ff65d3627c5923c825b252ce907820a

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 2f49dbc0..27562682 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1758195422500,
+  "lastUpdate": 1759739883999,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -39424,6 +39424,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.155591207865674 msec\nrounds: 178"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "22ebea167ff65d3627c5923c825b252ce907820a",
+          "message": "Merge pull request #237 from developmentseed/switch-to-official-python\n\nfix: switch to official python docker image over bitnami",
+          "timestamp": "2025-10-06T10:30:58+02:00",
+          "tree_id": "f4fc883557aa98c7cadce0950c410a691ca74b15",
+          "url": "https://github.com/developmentseed/tipg/commit/22ebea167ff65d3627c5923c825b252ce907820a"
+        },
+        "date": 1759739883211,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 462.1706232261442,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00024211681927385992",
+            "extra": "mean: 2.1637030779230013 msec\nrounds: 231"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 221.91380874681008,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008952588058965143",
+            "extra": "mean: 4.506254052630578 msec\nrounds: 171"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 395.8712645278018,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006835477471973017",
+            "extra": "mean: 2.526073725489541 msec\nrounds: 102"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 204.21886478828185,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000146705244625041",
+            "extra": "mean: 4.896707270587964 msec\nrounds: 170"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 583.3969975762192,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000728046792332065",
+            "extra": "mean: 1.714098639784914 msec\nrounds: 372"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 428.98980990437536,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008708597841966547",
+            "extra": "mean: 2.33105770093445 msec\nrounds: 107"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 735.4863897997199,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007423048036847106",
+            "extra": "mean: 1.3596444663949658 msec\nrounds: 491"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 218.70446531608457,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003340902636985067",
+            "extra": "mean: 4.572380351515645 msec\nrounds: 165"
+          },
+          {
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+            "value": 196.04581358525934,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013460177642379975",
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+            "range": "stddev: 0.0006222362596448762",
+            "extra": "mean: 7.991921551020836 msec\nrounds: 98"
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+          {
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+            "value": 56.426749973847365,
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+            "range": "stddev: 0.007920266871030621",
+            "extra": "mean: 17.722091037734398 msec\nrounds: 53"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 32.28903536464429,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007681782604022004",
+            "extra": "mean: 30.970265562500376 msec\nrounds: 32"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 26.668586330773774,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007876954889820913",
+            "extra": "mean: 37.49730066666738 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.2391292869771435,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003286367035135644",
+            "extra": "mean: 807.0182914000043 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 28.08002431954652,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00043076312191351294",
+            "extra": "mean: 35.61250476923196 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8194821061438924,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011616357530310333",
+            "extra": "mean: 1.220282898800002 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 17.626201134907436,
+            "unit": "iter/sec",
+            "range": "stddev: 0.013140287677044196",
+            "extra": "mean: 56.73372227777267 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.92568760266201,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00518801605214595",
+            "extra": "mean: 112.03618639999888 msec\nrounds: 10"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.203689804566573,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009504564791676644",
+            "extra": "mean: 161.19439099999713 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 245.7559961659198,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001559076339915658",
+            "extra": "mean: 4.069076708610029 msec\nrounds: 151"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 166.28593537546473,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001870149244797607",
+            "extra": "mean: 6.013737708736783 msec\nrounds: 103"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 312.2642844059959,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001286803392204117",
+            "extra": "mean: 3.202415549707351 msec\nrounds: 171"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 296.601292654956,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007981129666199461",
+            "extra": "mean: 3.37152947328293 msec\nrounds: 131"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 704.3044879479679,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010978958396652336",
+            "extra": "mean: 1.4198404484309877 msec\nrounds: 446"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 849.0002393201476,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018944036171435799",
+            "extra": "mean: 1.1778559695115849 msec\nrounds: 492"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 806.5331174745678,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016255319319786262",
+            "extra": "mean: 1.2398746912355187 msec\nrounds: 502"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 352.4069358483407,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013505157399042587",
+            "extra": "mean: 2.837628599995412 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 449.4122774826623,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010889395229777874",
+            "extra": "mean: 2.2251283511910254 msec\nrounds: 168"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 438.7924903972017,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012596567279907",
+            "extra": "mean: 2.2789815730319014 msec\nrounds: 178"
+          }
+        ]
       }
     ]
   }

From 729216f49e3d5f635d46fb5f96d01dcb1b87456d Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Tue, 4 Nov 2025 08:35:51 +0000
Subject: [PATCH 140/150] add TiPg Benchmarks (pytest) benchmark result for
 7eb3065aa2d97dcadf5e8a02acdc28d6d87f1dcb

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 27562682..c263823b 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1759739883999,
+  "lastUpdate": 1762245351322,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -39735,6 +39735,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.2789815730319014 msec\nrounds: 178"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "7eb3065aa2d97dcadf5e8a02acdc28d6d87f1dcb",
+          "message": "update docstring",
+          "timestamp": "2025-11-04T09:20:54+01:00",
+          "tree_id": "da61f05141466a48f7828a02ebdeb701575bf44a",
+          "url": "https://github.com/developmentseed/tipg/commit/7eb3065aa2d97dcadf5e8a02acdc28d6d87f1dcb"
+        },
+        "date": 1762245350456,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 427.56682610313214,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003370824851230914",
+            "extra": "mean: 2.3388156866940677 msec\nrounds: 233"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 221.33921909941273,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010331523124712401",
+            "extra": "mean: 4.51795214634266 msec\nrounds: 164"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 400.53546223310235,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008193686595183518",
+            "extra": "mean: 2.496657835050878 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 198.06167646858833,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010422990957121824",
+            "extra": "mean: 5.048932321637676 msec\nrounds: 171"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 574.7087243264423,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009499994554092675",
+            "extra": "mean: 1.7400118663101876 msec\nrounds: 374"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 425.3077870741459,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003543478018957309",
+            "extra": "mean: 2.3512383981477987 msec\nrounds: 108"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 728.1653239144176,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008724256509261821",
+            "extra": "mean: 1.3733145031189808 msec\nrounds: 481"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 195.32612217991257,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00032629107007700126",
+            "extra": "mean: 5.119642927631112 msec\nrounds: 152"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 174.82807164618316,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004012451740959311",
+            "extra": "mean: 5.71990522222197 msec\nrounds: 135"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 114.81128501044935,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004749018568661014",
+            "extra": "mean: 8.709945193183637 msec\nrounds: 88"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 76.28679024095393,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00811947428790267",
+            "extra": "mean: 13.10842934722345 msec\nrounds: 72"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 45.26501974339995,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005262605844359515",
+            "extra": "mean: 22.092114521739695 msec\nrounds: 46"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 36.20174908951684,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008491584641721565",
+            "extra": "mean: 27.622974722223464 msec\nrounds: 36"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 193.20115386237694,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003284203518282705",
+            "extra": "mean: 5.1759525241362185 msec\nrounds: 145"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 152.03610645895677,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00048095728161877605",
+            "extra": "mean: 6.5773849599993355 msec\nrounds: 125"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 73.42695486162529,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007248569816596396",
+            "extra": "mean: 13.61897687142987 msec\nrounds: 70"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 42.217391720772255,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0018335517861924062",
+            "extra": "mean: 23.68692046666562 msec\nrounds: 45"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 23.01342875083838,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0035586338855047276",
+            "extra": "mean: 43.45289051999998 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 19.614118366753775,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0035385382698656623",
+            "extra": "mean: 50.98368335000032 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 176.8786482226819,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00042944645166460247",
+            "extra": "mean: 5.65359363636162 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 147.8767914030784,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006744032924110972",
+            "extra": "mean: 6.762386379308353 msec\nrounds: 116"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 89.92524937485716,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003075569479416257",
+            "extra": "mean: 11.120347254545363 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 54.013219773674074,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007695200827119353",
+            "extra": "mean: 18.513986098036646 msec\nrounds: 51"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 30.15992317749898,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008617237800945384",
+            "extra": "mean: 33.156583129033194 msec\nrounds: 31"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 26.56204414620716,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007711942354587442",
+            "extra": "mean: 37.64770491667117 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.1745196828535864,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006111083490770145",
+            "extra": "mean: 851.4118704000111 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 25.88102918438629,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00039303463741642764",
+            "extra": "mean: 38.638339799998676 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7886292507238856,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00505917046724424",
+            "extra": "mean: 1.2680229639999994 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 17.4768588911431,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008080056391520687",
+            "extra": "mean: 57.218519999997184 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.72214313445859,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005703177873471736",
+            "extra": "mean: 114.65072111111061 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.091401274233527,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009329204806143002",
+            "extra": "mean: 164.16583885714024 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 249.267081096181,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005505485326420897",
+            "extra": "mean: 4.011761182432849 msec\nrounds: 148"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 164.25712521804635,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00042958667309109537",
+            "extra": "mean: 6.0880159607842295 msec\nrounds: 102"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 314.5503692708104,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000489888256916153",
+            "extra": "mean: 3.179141077844533 msec\nrounds: 167"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 290.73244513455467,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009369685814712236",
+            "extra": "mean: 3.439588586465426 msec\nrounds: 133"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 614.6363561753067,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0037001879859439642",
+            "extra": "mean: 1.6269782774040458 msec\nrounds: 447"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 753.5124940762186,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015696417295132923",
+            "extra": "mean: 1.3271180078121558 msec\nrounds: 512"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 811.5224942748314,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008888359023216198",
+            "extra": "mean: 1.2322517330756066 msec\nrounds: 517"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 344.5046279679202,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016968361969086702",
+            "extra": "mean: 2.902718624996581 msec\nrounds: 16"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 438.3520264189881,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010244456714417796",
+            "extra": "mean: 2.2812715345911836 msec\nrounds: 159"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 432.65794353288464,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001295240630687001",
+            "extra": "mean: 2.31129467272567 msec\nrounds: 165"
+          }
+        ]
       }
     ]
   }

From afdd05960b74d875ceb94c030c4c2584b4c9f04a Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 12 Nov 2025 11:06:21 +0000
Subject: [PATCH 141/150] add TiPg Benchmarks (pytest) benchmark result for
 5e9a27de623fe5bd24c56bd24797b9a18de3117f

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index c263823b..88790440 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1762245351322,
+  "lastUpdate": 1762945581340,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -40046,6 +40046,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.31129467272567 msec\nrounds: 165"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "5e9a27de623fe5bd24c56bd24797b9a18de3117f",
+          "message": "Merge pull request #242 from developmentseed/non-root-container\n\nAdd non-root user for container.",
+          "timestamp": "2025-11-12T12:00:41+01:00",
+          "tree_id": "befcb5dca40dff8c2eea2ce9be362d873ed925c6",
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+          {
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+            "extra": "mean: 4.852619013793507 msec\nrounds: 145"
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+            "extra": "mean: 23.693671857142952 msec\nrounds: 42"
+          },
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+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
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+            "extra": "mean: 49.69284725000023 msec\nrounds: 20"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 186.7295522004058,
+            "unit": "iter/sec",
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+          },
+          {
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+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 25.659764579643024,
+            "unit": "iter/sec",
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+            "extra": "mean: 38.97151888888888 msec\nrounds: 27"
+          },
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+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
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+            "unit": "iter/sec",
+            "range": "stddev: 0.006947952472058392",
+            "extra": "mean: 851.2953928000002 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 26.374744965250713,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00028805711129517526",
+            "extra": "mean: 37.91505856521158 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7942019082559963,
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+            "range": "stddev: 0.0036768650218412064",
+            "extra": "mean: 1.259125657599992 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 17.65972708680599,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000561065824192159",
+            "extra": "mean: 56.626016647059295 msec\nrounds: 17"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.822457889656162,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005819264789638994",
+            "extra": "mean: 113.34709811111072 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.095435797671368,
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+            "extra": "mean: 164.0571787142814 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 235.94452525860873,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018124965000356047",
+            "extra": "mean: 4.238284397164726 msec\nrounds: 141"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 156.2832201740645,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00037444415989558487",
+            "extra": "mean: 6.39863959090569 msec\nrounds: 66"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 313.0074911766754,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016474573358506183",
+            "extra": "mean: 3.1948117159776066 msec\nrounds: 169"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 288.7516706035442,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005833854439617099",
+            "extra": "mean: 3.4631834264709735 msec\nrounds: 136"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 704.2953423858296,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012199973543718954",
+            "extra": "mean: 1.4198588856380319 msec\nrounds: 376"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 742.5786004695553,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016049847598380542",
+            "extra": "mean: 1.3466587905545206 msec\nrounds: 487"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 759.6748940566185,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00027823988178869816",
+            "extra": "mean: 1.3163525711111232 msec\nrounds: 450"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 343.5382194233418,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021182433764980568",
+            "extra": "mean: 2.9108842727268756 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 429.44615014557417,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009899518514389109",
+            "extra": "mean: 2.3285806606044055 msec\nrounds: 165"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 418.2006686574395,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020760799148385084",
+            "extra": "mean: 2.3911965593224087 msec\nrounds: 177"
+          }
+        ]
       }
     ]
   }

From dbee93a34306d9a77f02888e73d795fc62f54c8e Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 17 Nov 2025 12:26:13 +0000
Subject: [PATCH 142/150] add TiPg Benchmarks (pytest) benchmark result for
 791407fca9170660982f8d5091f750ed8c812d98

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 88790440..ef0c3dad 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1762945581340,
+  "lastUpdate": 1763382373073,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -40357,6 +40357,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.3911965593224087 msec\nrounds: 177"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "791407fca9170660982f8d5091f750ed8c812d98",
+          "message": "Merge pull request #239 from developmentseed/feature/add-viewer-extension\n\nadd viewer extension",
+          "timestamp": "2025-11-17T13:21:18+01:00",
+          "tree_id": "9bb822e2ec2980dda18012865a7fc0cc4f47e4cb",
+          "url": "https://github.com/developmentseed/tipg/commit/791407fca9170660982f8d5091f750ed8c812d98"
+        },
+        "date": 1763382371938,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 466.1735076262755,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010483770442796229",
+            "extra": "mean: 2.145124044246816 msec\nrounds: 226"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 221.06196458240802,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00025760157375481426",
+            "extra": "mean: 4.523618533333071 msec\nrounds: 165"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 402.38937785185624,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010227075177849291",
+            "extra": "mean: 2.4851550638301396 msec\nrounds: 94"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 200.60109552475726,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004742857377326903",
+            "extra": "mean: 4.985017641025717 msec\nrounds: 156"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 582.9569406149614,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010601026763926842",
+            "extra": "mean: 1.715392562176376 msec\nrounds: 386"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 437.24422488116016,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016418606747105514",
+            "extra": "mean: 2.287051361906021 msec\nrounds: 105"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 702.9430202933788,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009840113769775678",
+            "extra": "mean: 1.422590410788405 msec\nrounds: 482"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 227.48625414308736,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002339910053997428",
+            "extra": "mean: 4.395870000000117 msec\nrounds: 163"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 187.8579572321159,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014190299319955687",
+            "extra": "mean: 5.323170840000178 msec\nrounds: 150"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 123.18009175401289,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00023697464088671692",
+            "extra": "mean: 8.118194959595998 msec\nrounds: 99"
+          },
+          {
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+            "value": 75.20228965763752,
+            "unit": "iter/sec",
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+            "extra": "mean: 13.297467464788026 msec\nrounds: 71"
+          },
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+            "value": 47.231334395859314,
+            "unit": "iter/sec",
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+          {
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+            "value": 37.282257049317714,
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+            "extra": "mean: 26.822410421053103 msec\nrounds: 38"
+          },
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+            "extra": "mean: 53.551477714286136 msec\nrounds: 21"
+          },
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+            "value": 191.16564302244564,
+            "unit": "iter/sec",
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+            "extra": "mean: 5.231065499999837 msec\nrounds: 54"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 157.30267070126325,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020102415492138104",
+            "extra": "mean: 6.357171149999867 msec\nrounds: 120"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 89.37539696381135,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004752823730282442",
+            "extra": "mean: 11.188761493332512 msec\nrounds: 75"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 53.43164542364991,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009295487283638777",
+            "extra": "mean: 18.715500749998988 msec\nrounds: 52"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 30.83123792250505,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010411877949611544",
+            "extra": "mean: 32.43463666666647 msec\nrounds: 30"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 26.170593247619276,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00884089807423655",
+            "extra": "mean: 38.21082657692406 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.1761030255994878,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003133213822170069",
+            "extra": "mean: 850.2656469999948 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 26.486565704512458,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005621534509843879",
+            "extra": "mean: 37.754989119998754 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.7864825346625742,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01963978760965763",
+            "extra": "mean: 1.2714840519999995 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 16.89617374637219,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014229795991991034",
+            "extra": "mean: 59.18499744444875 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.687173609977169,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004726807034121737",
+            "extra": "mean: 115.11223844444709 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.113575144875514,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008370373549038615",
+            "extra": "mean: 163.57041114285056 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 258.0724450264101,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000682670827050581",
+            "extra": "mean: 3.8748809463081733 msec\nrounds: 149"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 165.9269895892412,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011404744160527187",
+            "extra": "mean: 6.026747079999097 msec\nrounds: 100"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 325.15028136315516,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010987624505946918",
+            "extra": "mean: 3.0755009523830488 msec\nrounds: 168"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 284.33282391739584,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011945779563052729",
+            "extra": "mean: 3.517005128787098 msec\nrounds: 132"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 692.8073784354035,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011782860147544219",
+            "extra": "mean: 1.4434026413782468 msec\nrounds: 435"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 848.9330297324822,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015987060371198657",
+            "extra": "mean: 1.177949219757797 msec\nrounds: 496"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 770.4605024593376,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00019693459848025936",
+            "extra": "mean: 1.2979250679404903 msec\nrounds: 471"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 344.2784202262871,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010465848151606895",
+            "extra": "mean: 2.904625852944023 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 434.2034909133419,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006041221670381918",
+            "extra": "mean: 2.303067619047723 msec\nrounds: 168"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 425.72113382077487,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007716863067290857",
+            "extra": "mean: 2.3489555029255182 msec\nrounds: 171"
+          }
+        ]
       }
     ]
   }

From 219aedc499365be231f7c2c7f72bb5c75f118e1a Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 17 Nov 2025 13:09:15 +0000
Subject: [PATCH 143/150] add TiPg Benchmarks (pytest) benchmark result for
 bf5fa717b23df08710001a6b20d789db83412ced

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index ef0c3dad..04acb0cb 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1763382373073,
+  "lastUpdate": 1763384955549,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -40668,6 +40668,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.3489555029255182 msec\nrounds: 171"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "bf5fa717b23df08710001a6b20d789db83412ced",
+          "message": "Merge pull request #243 from developmentseed/feature/switch-to-uv\n\nswitch to UV",
+          "timestamp": "2025-11-17T14:04:18+01:00",
+          "tree_id": "390d88d45a0ac214e5c715efb44939620f573852",
+          "url": "https://github.com/developmentseed/tipg/commit/bf5fa717b23df08710001a6b20d789db83412ced"
+        },
+        "date": 1763384954992,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 509.86519378946423,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006853305991285639",
+            "extra": "mean: 1.9613027368424845 msec\nrounds: 190"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 232.92588328051224,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0039740407880234346",
+            "extra": "mean: 4.293211153333706 msec\nrounds: 150"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 441.3234612270063,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010953218172109121",
+            "extra": "mean: 2.2659117129638022 msec\nrounds: 108"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 224.23663910349853,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00043806423700175416",
+            "extra": "mean: 4.459574510205001 msec\nrounds: 196"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 681.2507527035636,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009692531329952453",
+            "extra": "mean: 1.467888286407715 msec\nrounds: 412"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 504.89239071218356,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00005765174196997198",
+            "extra": "mean: 1.9806200655736461 msec\nrounds: 122"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 760.9522314653335,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0026872883959992884",
+            "extra": "mean: 1.3141429365077784 msec\nrounds: 504"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 241.66994850215357,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007767830782701291",
+            "extra": "mean: 4.137874842105529 msec\nrounds: 171"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 215.78889238868186,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018635240509482843",
+            "extra": "mean: 4.634158825000068 msec\nrounds: 160"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 128.78378640236238,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00498695348076602",
+            "extra": "mean: 7.764952622806687 msec\nrounds: 114"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 90.8655806988677,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0050538165683520625",
+            "extra": "mean: 11.005267256410779 msec\nrounds: 78"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 47.84574584170994,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00873256658743121",
+            "extra": "mean: 20.900499770833154 msec\nrounds: 48"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 40.78369347215471,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009136311461585488",
+            "extra": "mean: 24.519603666665343 msec\nrounds: 42"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 224.75754782274947,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00030707831143590226",
+            "extra": "mean: 4.4492387894738465 msec\nrounds: 171"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 169.74932063907778,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021045289608512095",
+            "extra": "mean: 5.89103977697918 msec\nrounds: 139"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 84.5009814069676,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000721273937959062",
+            "extra": "mean: 11.834182081079879 msec\nrounds: 74"
+          },
+          {
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+            "value": 47.01765503543235,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00925801101234397",
+            "extra": "mean: 21.268606425531075 msec\nrounds: 47"
+          },
+          {
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+            "value": 28.549052610547275,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0006675329587742789",
+            "extra": "mean: 35.02743203571512 msec\nrounds: 28"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 21.08551010387537,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0032830684293499415",
+            "extra": "mean: 47.42593350000135 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 211.0886559689769,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000082960608345577",
+            "extra": "mean: 4.737345999999958 msec\nrounds: 65"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 156.00584952787764,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005412229374310718",
+            "extra": "mean: 6.410016054053819 msec\nrounds: 111"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 103.4801078234178,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001903469583383425",
+            "extra": "mean: 9.663693061727729 msec\nrounds: 81"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 61.05802437576549,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008341080387720917",
+            "extra": "mean: 16.37786368333446 msec\nrounds: 60"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 33.79144746514983,
+            "unit": "iter/sec",
+            "range": "stddev: 0.010619338584187064",
+            "extra": "mean: 29.593286911764615 msec\nrounds: 34"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 27.760665534502053,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012449475274841552",
+            "extra": "mean: 36.02219113793077 msec\nrounds: 29"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.1987483558659815,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006880947506650111",
+            "extra": "mean: 834.2034382000008 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 27.126663879301518,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0008995965023219334",
+            "extra": "mean: 36.86409816000378 msec\nrounds: 25"
+          },
+          {
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+            "value": 0.8200905921864001,
+            "unit": "iter/sec",
+            "range": "stddev: 0.035143098337677516",
+            "extra": "mean: 1.2193774804000044 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 18.64343918969703,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0013784705257446864",
+            "extra": "mean: 53.63817211111095 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.912946043829315,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005666952616730348",
+            "extra": "mean: 112.19634844444373 msec\nrounds: 9"
+          },
+          {
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+            "value": 6.076483000529273,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008525369383952383",
+            "extra": "mean: 164.5688797142851 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 271.7411275011531,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011830371045441456",
+            "extra": "mean: 3.679972955127143 msec\nrounds: 156"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 154.64987411367966,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007256426827072401",
+            "extra": "mean: 6.46621929523798 msec\nrounds: 105"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 351.62987913933927,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010479535498846126",
+            "extra": "mean: 2.8438993934407177 msec\nrounds: 183"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 313.1309866877475,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010322091975716394",
+            "extra": "mean: 3.1935517164169847 msec\nrounds: 134"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 823.4627211760825,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000054481781745661954",
+            "extra": "mean: 1.214384056842044 msec\nrounds: 475"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 859.4886395783303,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010716682161997038",
+            "extra": "mean: 1.163482510357095 msec\nrounds: 531"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 729.0261350343569,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002843155243843408",
+            "extra": "mean: 1.3716929365678678 msec\nrounds: 536"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 375.91446095863995,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006793080205697077",
+            "extra": "mean: 2.66017965217365 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 509.66977124733523,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009209794710220602",
+            "extra": "mean: 1.9620547586188208 msec\nrounds: 174"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 499.67429376818825,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011385709407469545",
+            "extra": "mean: 2.0013036741568415 msec\nrounds: 178"
+          }
+        ]
       }
     ]
   }

From 9f6b05995390e0fdd1c78634884353726bcd4524 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 17 Nov 2025 14:01:13 +0000
Subject: [PATCH 144/150] add TiPg Benchmarks (pytest) benchmark result for
 55ab225b63e9e09aa0b210336c058a9dea357e22

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 04acb0cb..f6702ea7 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1763384955549,
+  "lastUpdate": 1763388073050,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -40979,6 +40979,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.0013036741568415 msec\nrounds: 178"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "55ab225b63e9e09aa0b210336c058a9dea357e22",
+          "message": "Bump version: 1.2.1 → 1.3.0",
+          "timestamp": "2025-11-17T14:55:05+01:00",
+          "tree_id": "83ac0588f8201c63eda6ceaf94429dae4a8ca0da",
+          "url": "https://github.com/developmentseed/tipg/commit/55ab225b63e9e09aa0b210336c058a9dea357e22"
+        },
+        "date": 1763388071924,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 529.830000859453,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007758850379490181",
+            "extra": "mean: 1.8873978415300574 msec\nrounds: 183"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 234.38316859959195,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0037964449248370077",
+            "extra": "mean: 4.266517967031789 msec\nrounds: 182"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 444.56278188231084,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009732588527824663",
+            "extra": "mean: 2.249401076189797 msec\nrounds: 105"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 232.06253404732544,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012711555815411165",
+            "extra": "mean: 4.309183316062842 msec\nrounds: 193"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 678.5570231093351,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011463006904473147",
+            "extra": "mean: 1.473715496182951 msec\nrounds: 393"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 475.54667848729827,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009037657357524216",
+            "extra": "mean: 2.1028429915249838 msec\nrounds: 118"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 703.6305057068618,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0029008484352640238",
+            "extra": "mean: 1.4212004623014571 msec\nrounds: 504"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 235.56511613927094,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011539686053494052",
+            "extra": "mean: 4.245110720930256 msec\nrounds: 172"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 202.67665767059833,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002781855367840787",
+            "extra": "mean: 4.9339672929936365 msec\nrounds: 157"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 121.30437455376374,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006551095775221548",
+            "extra": "mean: 8.243725782179327 msec\nrounds: 101"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 88.39961841574065,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005439218742309631",
+            "extra": "mean: 11.31226602469064 msec\nrounds: 81"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 44.93148078930722,
+            "unit": "iter/sec",
+            "range": "stddev: 0.012223336933084002",
+            "extra": "mean: 22.256110469387856 msec\nrounds: 49"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 38.8978955648417,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01206896762446514",
+            "extra": "mean: 25.708331658534796 msec\nrounds: 41"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 200.98556322930872,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004155399793279527",
+            "extra": "mean: 4.975481740741143 msec\nrounds: 162"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 166.15973901811532,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003401709665019041",
+            "extra": "mean: 6.018305071428744 msec\nrounds: 140"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 83.96831021762428,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005344574757995527",
+            "extra": "mean: 11.909254782051194 msec\nrounds: 78"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 47.00874099237186,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0016545335616518898",
+            "extra": "mean: 21.272639489797665 msec\nrounds: 49"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 27.17164554012385,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0022641320112059805",
+            "extra": "mean: 36.803070999999576 msec\nrounds: 24"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 21.99159111546296,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0025008698682561273",
+            "extra": "mean: 45.47192582608857 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 165.58668830094442,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015725705463053735",
+            "extra": "mean: 6.0391327966083646 msec\nrounds: 59"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 136.4848071149054,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003549697803805557",
+            "extra": "mean: 7.326822824742012 msec\nrounds: 97"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 86.72839503462184,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00816589942449902",
+            "extra": "mean: 11.530249113924011 msec\nrounds: 79"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 58.30073372639672,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008521079154715283",
+            "extra": "mean: 17.152442792452057 msec\nrounds: 53"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 32.793694937296564,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00885540399519019",
+            "extra": "mean: 30.493666599999106 msec\nrounds: 35"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 28.862539789928952,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0012165053415199615",
+            "extra": "mean: 34.64698558333149 msec\nrounds: 12"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.1970824174858765,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0014568418338947863",
+            "extra": "mean: 835.3643704000007 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 26.775810009218606,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00026095220919509815",
+            "extra": "mean: 37.34714280000162 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8230905855702164,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003108723004586334",
+            "extra": "mean: 1.2149331039999993 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 18.742240009803663,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005447171614360277",
+            "extra": "mean: 53.35541533332844 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.833888089563112,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004483633595842556",
+            "extra": "mean: 113.20043788889065 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 6.1709370944229125,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008283174009461505",
+            "extra": "mean: 162.04994228571326 msec\nrounds: 7"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 273.671078120093,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021117376856249958",
+            "extra": "mean: 3.654021487653064 msec\nrounds: 162"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 162.261190103796,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007173601898679562",
+            "extra": "mean: 6.162903152382374 msec\nrounds: 105"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 350.16879316152716,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013592583248007143",
+            "extra": "mean: 2.8557656179793165 msec\nrounds: 178"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 326.3835260306554,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010124324549233221",
+            "extra": "mean: 3.063880129495493 msec\nrounds: 139"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 678.1519982553651,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003886664343723415",
+            "extra": "mean: 1.4745956696620095 msec\nrounds: 445"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 913.7145389431752,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008475495139861998",
+            "extra": "mean: 1.0944337179493988 msec\nrounds: 507"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 896.5919577887593,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009368596419501106",
+            "extra": "mean: 1.115334563636142 msec\nrounds: 550"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 402.15842317590887,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000823751399045536",
+            "extra": "mean: 2.4865822580634798 msec\nrounds: 31"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 488.19195778162236,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000058580565005027734",
+            "extra": "mean: 2.0483745872096466 msec\nrounds: 172"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 402.8108775067887,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005961653706326022",
+            "extra": "mean: 2.482554607734362 msec\nrounds: 181"
+          }
+        ]
       }
     ]
   }

From 19b8326f07c3341ac5e25880703beb6cc56e22ba Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Mon, 17 Nov 2025 14:07:07 +0000
Subject: [PATCH 145/150] add TiPg Benchmarks (pytest) benchmark result for
 a0273b046b14d9506c61876eaadf6dd8056e2d77

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index f6702ea7..bf3bc7e1 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1763388073050,
+  "lastUpdate": 1763388427877,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -41290,6 +41290,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.482554607734362 msec\nrounds: 181"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "a0273b046b14d9506c61876eaadf6dd8056e2d77",
+          "message": "fix publish",
+          "timestamp": "2025-11-17T15:02:49+01:00",
+          "tree_id": "ecc26245d19fed7d6b55539136f43207cfe98a91",
+          "url": "https://github.com/developmentseed/tipg/commit/a0273b046b14d9506c61876eaadf6dd8056e2d77"
+        },
+        "date": 1763388427297,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 515.0360408631409,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011431043619360185",
+            "extra": "mean: 1.9416116944439763 msec\nrounds: 180"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 227.52155474289572,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004425160854251515",
+            "extra": "mean: 4.3951879685861925 msec\nrounds: 191"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 424.1741214972933,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001291992409143311",
+            "extra": "mean: 2.3575224166672344 msec\nrounds: 108"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 223.28532312741828,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004251722046501529",
+            "extra": "mean: 4.478574704300415 msec\nrounds: 186"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 648.7174111548156,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010415158002793127",
+            "extra": "mean: 1.5415032536583964 msec\nrounds: 410"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 472.91393520122733,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007213988996625019",
+            "extra": "mean: 2.114549658120129 msec\nrounds: 117"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 728.2612050380816,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003570285789167494",
+            "extra": "mean: 1.3731336958251248 msec\nrounds: 503"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 218.42148997530447,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00046942718376355674",
+            "extra": "mean: 4.578304085889459 msec\nrounds: 163"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 193.86711749780156,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002220507120711108",
+            "extra": "mean: 5.158172323944209 msec\nrounds: 142"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 112.33645311121596,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007367617764355748",
+            "extra": "mean: 8.901829925233391 msec\nrounds: 107"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 83.30205642535712,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004824472610069718",
+            "extra": "mean: 12.004505565790575 msec\nrounds: 76"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 43.87724990427196,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011512285436826048",
+            "extra": "mean: 22.790854080000997 msec\nrounds: 50"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 37.743769401080456,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01267335128141958",
+            "extra": "mean: 26.494439105262604 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 215.95750341988924,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00022981785310181998",
+            "extra": "mean: 4.630540658064961 msec\nrounds: 155"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 164.23278558729797,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002914317087583899",
+            "extra": "mean: 6.088918217053865 msec\nrounds: 129"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 82.84063393466285,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005923035078458716",
+            "extra": "mean: 12.071370684931129 msec\nrounds: 73"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 50.61045327069645,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003887717093476423",
+            "extra": "mean: 19.758763958334313 msec\nrounds: 48"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 25.25993088686265,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0030558464673756756",
+            "extra": "mean: 39.588390185187976 msec\nrounds: 27"
+          },
+          {
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+            "extra": "mean: 46.3829568260866 msec\nrounds: 23"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 196.32373823056653,
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+            "extra": "mean: 5.09362754098325 msec\nrounds: 61"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
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+            "extra": "mean: 10.40389896511667 msec\nrounds: 86"
+          },
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+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 62.20369123240357,
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+          {
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+            "value": 33.76288966637227,
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+            "extra": "mean: 29.618317918919036 msec\nrounds: 37"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 27.803698244378445,
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+            "extra": "mean: 35.96643839285615 msec\nrounds: 28"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.204426812164794,
+            "unit": "iter/sec",
+            "range": "stddev: 0.001990402139853814",
+            "extra": "mean: 830.2704571999982 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 27.1901256389922,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00044132841527638126",
+            "extra": "mean: 36.77805734615447 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8288504893832672,
+            "unit": "iter/sec",
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+            "extra": "mean: 1.2064902087999996 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 17.361643303224163,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01502923557812283",
+            "extra": "mean: 57.59823436841914 msec\nrounds: 19"
+          },
+          {
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+            "value": 8.88140891805337,
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+            "extra": "mean: 112.59474811111166 msec\nrounds: 9"
+          },
+          {
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+            "extra": "mean: 161.7236537142901 msec\nrounds: 7"
+          },
+          {
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+            "value": 274.7546953476325,
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+            "range": "stddev: 0.00014454965219487425",
+            "extra": "mean: 3.639610230262865 msec\nrounds: 152"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 175.15087856071094,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016830519033798536",
+            "extra": "mean: 5.70936331132007 msec\nrounds: 106"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 337.62668871758154,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007797559230372972",
+            "extra": "mean: 2.961851161110316 msec\nrounds: 180"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 263.40705241227573,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006999966864853569",
+            "extra": "mean: 3.7964055663735 msec\nrounds: 113"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 763.6628729251124,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012058219684366109",
+            "extra": "mean: 1.309478351578922 msec\nrounds: 475"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 944.7619477280231,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00007743205266102674",
+            "extra": "mean: 1.0584676937982254 msec\nrounds: 516"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 863.3326430724787,
+            "unit": "iter/sec",
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+            "extra": "mean: 1.1583020843983631 msec\nrounds: 391"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 379.2837382913542,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008111006220133118",
+            "extra": "mean: 2.6365485757573675 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 417.14854236296253,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005246026587612806",
+            "extra": "mean: 2.397227602271941 msec\nrounds: 176"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 465.73961374722046,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001521193050295391",
+            "extra": "mean: 2.1471224918023584 msec\nrounds: 183"
+          }
+        ]
       }
     ]
   }

From 8714de5e0e491f50d1c278b1d0787ac0bcc7e27e Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Wed, 3 Dec 2025 09:29:18 +0000
Subject: [PATCH 146/150] add TiPg Benchmarks (pytest) benchmark result for
 e63dfa1e7b94a1c430dfecd7a9cee1df62bb1c38

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index bf3bc7e1..bccf95d5 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1763388427877,
+  "lastUpdate": 1764754158863,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -41601,6 +41601,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.1471224918023584 msec\nrounds: 183"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "e63dfa1e7b94a1c430dfecd7a9cee1df62bb1c38",
+          "message": "Merge pull request #245 from developmentseed/dependabot/github_actions/all-76468cb07f\n\nBump actions/checkout from 5 to 6 in the all group",
+          "timestamp": "2025-12-03T10:24:54+01:00",
+          "tree_id": "aecc12543fba2d6b9b7fb01eb0cfe9360afbabbb",
+          "url": "https://github.com/developmentseed/tipg/commit/e63dfa1e7b94a1c430dfecd7a9cee1df62bb1c38"
+        },
+        "date": 1764754158013,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 503.8509326786895,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000749548146734795",
+            "extra": "mean: 1.9847139999991017 msec\nrounds: 183"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 238.8930388749174,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004181800305628618",
+            "extra": "mean: 4.185973792746604 msec\nrounds: 193"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 438.2151360123943,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016049683863201397",
+            "extra": "mean: 2.281984162162113 msec\nrounds: 111"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 235.1170004289564,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011837074835083285",
+            "extra": "mean: 4.253201589742818 msec\nrounds: 195"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 670.6954109368526,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009909359271726265",
+            "extra": "mean: 1.4909897752292092 msec\nrounds: 436"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 507.21707225263884,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000625070994796394",
+            "extra": "mean: 1.9715424710742224 msec\nrounds: 121"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 710.1943696352345,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0039360274283058005",
+            "extra": "mean: 1.4080652322175038 msec\nrounds: 478"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 234.70254329047688,
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 486.0993102625802,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00018161008967518876",
+            "extra": "mean: 2.0571927976195274 msec\nrounds: 168"
+          }
+        ]
       }
     ]
   }

From b45a432d5f60530a84bd0efcc0d9a5b5707c0b96 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 26 Feb 2026 15:07:00 +0000
Subject: [PATCH 147/150] add TiPg Benchmarks (pytest) benchmark result for
 f728f44d3785f4b905f2b4120f2f3a2f654fd9be

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index bccf95d5..69ecfa3a 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1764754158863,
+  "lastUpdate": 1772118420650,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -41912,6 +41912,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.0571927976195274 msec\nrounds: 168"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "Vincent Sarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "f728f44d3785f4b905f2b4120f2f3a2f654fd9be",
+          "message": "Merge pull request #251 from developmentseed/fix/bbox-filter-non-epsg4326\n\nfix: bbox filter for non-epsg4326 geometries",
+          "timestamp": "2026-02-26T10:02:08-05:00",
+          "tree_id": "c42d2186d5bb6556568fcbd4b60ff842ccabc242",
+          "url": "https://github.com/developmentseed/tipg/commit/f728f44d3785f4b905f2b4120f2f3a2f654fd9be"
+        },
+        "date": 1772118419825,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 502.61076787976657,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013305773447718603",
+            "extra": "mean: 1.9896111741068345 msec\nrounds: 224"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 220.41136134226844,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004581302517924135",
+            "extra": "mean: 4.536971206521146 msec\nrounds: 184"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 392.4055619284602,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008148667331550903",
+            "extra": "mean: 2.548383858489526 msec\nrounds: 106"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 220.2458079008886,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00026367150050072636",
+            "extra": "mean: 4.54038153793149 msec\nrounds: 145"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 616.7038779281024,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008187404756140898",
+            "extra": "mean: 1.621523774683615 msec\nrounds: 395"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 456.66800229472983,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016923063195028155",
+            "extra": "mean: 2.1897746173917567 msec\nrounds: 115"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 688.208583961717,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003691311826787161",
+            "extra": "mean: 1.4530478452381919 msec\nrounds: 504"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 211.2135368276494,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00037029180153911695",
+            "extra": "mean: 4.734545024999992 msec\nrounds: 160"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 168.20140173912858,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00048273398932104127",
+            "extra": "mean: 5.945253664121935 msec\nrounds: 131"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 101.06946895780527,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008302368156341743",
+            "extra": "mean: 9.894184765307141 msec\nrounds: 98"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 76.61529204268116,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00859413679549655",
+            "extra": "mean: 13.052224606060575 msec\nrounds: 66"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 44.69050411169115,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00952368696561504",
+            "extra": "mean: 22.37611814583218 msec\nrounds: 48"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 35.51677084301278,
+            "unit": "iter/sec",
+            "range": "stddev: 0.01401869998672718",
+            "extra": "mean: 28.155712815787428 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 205.41511155422617,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00027551310191533676",
+            "extra": "mean: 4.868191012986971 msec\nrounds: 154"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 152.98081681748516,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004382915070731226",
+            "extra": "mean: 6.5367672941180395 msec\nrounds: 136"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 67.49447230817303,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007898078543392193",
+            "extra": "mean: 14.81602812500111 msec\nrounds: 72"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-100]",
+            "value": 43.747737634357954,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0017029155488396128",
+            "extra": "mean: 22.858324888888305 msec\nrounds: 45"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 24.593196255365996,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0024635210042408522",
+            "extra": "mean: 40.66165250000027 msec\nrounds: 22"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
+            "value": 19.121438808895668,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0040646361352363785",
+            "extra": "mean: 52.29731977777637 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 163.6387051574911,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002595068787039378",
+            "extra": "mean: 6.111023666665953 msec\nrounds: 60"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 126.41509011354049,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007972807104364479",
+            "extra": "mean: 7.910448025641906 msec\nrounds: 117"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 89.10432979267478,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00038623636453358846",
+            "extra": "mean: 11.22279918750042 msec\nrounds: 80"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 54.33421257483088,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009382964409202074",
+            "extra": "mean: 18.404610145454246 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-200]",
+            "value": 29.77791799307073,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014719971103606564",
+            "extra": "mean: 33.581931424241894 msec\nrounds: 33"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
+            "value": 24.923407320636752,
+            "unit": "iter/sec",
+            "range": "stddev: 0.016359458954847618",
+            "extra": "mean: 40.12292489285737 msec\nrounds: 28"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
+            "value": 1.1913023856267473,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003689550922258575",
+            "extra": "mean: 839.4174410000005 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 26.280164249007147,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004255511107384353",
+            "extra": "mean: 38.05151256000158 msec\nrounds: 25"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8294514730674792,
+            "unit": "iter/sec",
+            "range": "stddev: 0.002277595492743338",
+            "extra": "mean: 1.2056160395999995 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 18.332251769519743,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0005630706336528618",
+            "extra": "mean: 54.54867261111139 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WGS1984Quad]",
+            "value": 8.282473462966434,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005904758946853845",
+            "extra": "mean: 120.73687944444582 msec\nrounds: 9"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[0/0/0-WebMercatorQuad]",
+            "value": 5.774096761580198,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00811929194564895",
+            "extra": "mean: 173.18726050000066 msec\nrounds: 6"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 238.7364325699443,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00020592975873581724",
+            "extra": "mean: 4.188719707483369 msec\nrounds: 147"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 153.06474995756605,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000342294730581375",
+            "extra": "mean: 6.533182854166153 msec\nrounds: 96"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 324.05914222606253,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016567572684215127",
+            "extra": "mean: 3.0858564678369835 msec\nrounds: 171"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 291.4405029964149,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001544115797292603",
+            "extra": "mean: 3.4312320687022053 msec\nrounds: 131"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 741.08512601243,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010627369775726491",
+            "extra": "mean: 1.3493726495102092 msec\nrounds: 408"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 826.8104198097511,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012094914516334084",
+            "extra": "mean: 1.2094670991569019 msec\nrounds: 474"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 783.160540181931,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008653631381195694",
+            "extra": "mean: 1.2768774072397677 msec\nrounds: 442"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 349.0425626768655,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003560160151316875",
+            "extra": "mean: 2.8649801111097557 msec\nrounds: 18"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 488.93263219211997,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011018797315706494",
+            "extra": "mean: 2.0452715449089975 msec\nrounds: 167"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 447.2393969829022,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000061018004456058567",
+            "extra": "mean: 2.235938977527576 msec\nrounds: 178"
+          }
+        ]
       }
     ]
   }

From c50c7f5ed7f7b15dfa010d77a71ca5ac900c1514 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 26 Feb 2026 15:12:45 +0000
Subject: [PATCH 148/150] add TiPg Benchmarks (pytest) benchmark result for
 e6b2b183374c727a0fcd2fea90a5963f61ce8409

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 69ecfa3a..776f988e 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1772118420650,
+  "lastUpdate": 1772118765461,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -42223,6 +42223,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.235938977527576 msec\nrounds: 178"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "e6b2b183374c727a0fcd2fea90a5963f61ce8409",
+          "message": "update lock file",
+          "timestamp": "2026-02-26T10:08:23-05:00",
+          "tree_id": "e7968adef8241cb076c637bb58e65622a36b56b3",
+          "url": "https://github.com/developmentseed/tipg/commit/e6b2b183374c727a0fcd2fea90a5963f61ce8409"
+        },
+        "date": 1772118764679,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 589.1096936040589,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011012922103180344",
+            "extra": "mean: 1.6974767362631462 msec\nrounds: 182"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 261.5548224503273,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0031972564453003256",
+            "extra": "mean: 3.8232902403851226 msec\nrounds: 208"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 497.54441927312075,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013217792978729097",
+            "extra": "mean: 2.009870799999995 msec\nrounds: 115"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 248.50289552409808,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001986343230922184",
+            "extra": "mean: 4.024097980391649 msec\nrounds: 204"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 721.2262371270116,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0000996781757212192",
+            "extra": "mean: 1.3865274840575372 msec\nrounds: 345"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 517.0359487874133,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009382019152790988",
+            "extra": "mean: 1.9341014920631066 msec\nrounds: 126"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 858.5154677216916,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006170781705228229",
+            "extra": "mean: 1.1648013781903974 msec\nrounds: 431"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 256.00611019065127,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00015747798835613703",
+            "extra": "mean: 3.906156768114973 msec\nrounds: 138"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 226.89171789489515,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016742218768218592",
+            "extra": "mean: 4.407388728323869 msec\nrounds: 173"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 139.49120484569016,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005795382675960724",
+            "extra": "mean: 7.1689107647054415 msec\nrounds: 119"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 98.8836376658171,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0047365761106719475",
+            "extra": "mean: 10.11289656818206 msec\nrounds: 88"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 51.06760481521015,
+            "unit": "iter/sec",
+            "range": "stddev: 0.009561201043112217",
+            "extra": "mean: 19.581885690909797 msec\nrounds: 55"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 45.54302818343853,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008833691065230546",
+            "extra": "mean: 21.95725756250096 msec\nrounds: 48"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 242.63685112689367,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00017155070000739888",
+            "extra": "mean: 4.121385499999842 msec\nrounds: 176"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 188.9405697944205,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00021548112733225274",
+            "extra": "mean: 5.292669547297673 msec\nrounds: 148"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
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+            "extra": "mean: 18.786388240742355 msec\nrounds: 54"
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+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-200]",
+            "value": 32.12742889435096,
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+            "name": "tests/benchmarks.py::test_benchmark_items[csv-250]",
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+            "extra": "mean: 38.11500653846058 msec\nrounds: 26"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
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+          {
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+            "extra": "mean: 9.067106012194037 msec\nrounds: 82"
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+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
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+          {
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+            "extra": "mean: 27.28353826315929 msec\nrounds: 38"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-250]",
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+            "extra": "mean: 33.327570812499815 msec\nrounds: 32"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-NewfoundlandandLabrador]",
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+            "extra": "mean: 776.3301795999979 msec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[geojson-Saskatchewan]",
+            "value": 26.98387834696247,
+            "unit": "iter/sec",
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+            "extra": "mean: 37.05916499999965 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
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+            "extra": "mean: 1.1200749594000001 sec\nrounds: 5"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-Saskatchewan]",
+            "value": 19.83112144193557,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0004714354145978319",
+            "extra": "mean: 50.42579174999986 msec\nrounds: 20"
+          },
+          {
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+          },
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WGS1984Quad]",
+            "value": 299.750265182449,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00008253027441783229",
+            "extra": "mean: 3.3361104764705707 msec\nrounds: 170"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[4/8/5-WebMercatorQuad]",
+            "value": 186.38217164312485,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010622372211536126",
+            "extra": "mean: 5.36532003669723 msec\nrounds: 109"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WGS1984Quad]",
+            "value": 396.641859096828,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00011801036718209734",
+            "extra": "mean: 2.521166077319844 msec\nrounds: 194"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tile[6/33/25-WebMercatorQuad]",
+            "value": 357.731078490622,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006354866206974833",
+            "extra": "mean: 2.795395927631754 msec\nrounds: 152"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets]",
+            "value": 785.7956029067424,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0035116843870667738",
+            "extra": "mean: 1.2725955659472927 msec\nrounds: 417"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WGS1984Quad]",
+            "value": 1080.8994249538891,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009651920533939347",
+            "extra": "mean: 925.1554556453387 usec\nrounds: 496"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/tileMatrixSets/WebMercatorQuad]",
+            "value": 986.7888423998136,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010241099066799183",
+            "extra": "mean: 1.0133880289607426 msec\nrounds: 587"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 428.9428436563572,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00010258796721262954",
+            "extra": "mean: 2.3313129354855002 msec\nrounds: 31"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 519.2992596022439,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00006797980529538485",
+            "extra": "mean: 1.9256719155847593 msec\nrounds: 154"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 507.10454248187665,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000149220778010711",
+            "extra": "mean: 1.9719799690726272 msec\nrounds: 194"
+          }
+        ]
       }
     ]
   }

From d6e3bd6151665037cfb119e7a978cba55ee147a7 Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 26 Feb 2026 15:20:12 +0000
Subject: [PATCH 149/150] add TiPg Benchmarks (pytest) benchmark result for
 14469c5874e2448457f02873d8d1be1c1862bdf1

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 776f988e..3e0dbe08 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1772118765461,
+  "lastUpdate": 1772119212622,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -42534,6 +42534,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 1.9719799690726272 msec\nrounds: 194"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "14469c5874e2448457f02873d8d1be1c1862bdf1",
+          "message": "Bump version: 1.3.0 → 1.3.1",
+          "timestamp": "2026-02-26T10:15:11-05:00",
+          "tree_id": "1d2db4661d4d07c3a724f91b9e2e16e5a48804a6",
+          "url": "https://github.com/developmentseed/tipg/commit/14469c5874e2448457f02873d8d1be1c1862bdf1"
+        },
+        "date": 1772119211255,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 493.4146316370627,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001400488559914565",
+            "extra": "mean: 2.026693040460062 msec\nrounds: 173"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 225.9481569805503,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003649733212804854",
+            "extra": "mean: 4.425794011172574 msec\nrounds: 179"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 417.5258806243645,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001427194071128041",
+            "extra": "mean: 2.395061112150961 msec\nrounds: 107"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 230.3459070117901,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012782878562287662",
+            "extra": "mean: 4.3412970213914654 msec\nrounds: 187"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 641.5569665640033,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009579385929745945",
+            "extra": "mean: 1.5587080370363924 msec\nrounds: 324"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 378.3611245365169,
+            "unit": "iter/sec",
+            "range": "stddev: 0.005981063848947427",
+            "extra": "mean: 2.642977661156324 msec\nrounds: 121"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 840.9417746971108,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00009071630279845806",
+            "extra": "mean: 1.1891429705227554 msec\nrounds: 441"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 234.78353486804465,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002394116685365914",
+            "extra": "mean: 4.259242457364099 msec\nrounds: 129"
+          },
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+            "value": 208.81326388491226,
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+            "extra": "mean: 1.2347165709519277 msec\nrounds: 599"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles]",
+            "value": 364.1836544183446,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001933120255435624",
+            "extra": "mean: 2.7458673333297963 msec\nrounds: 27"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WGS1984Quad]",
+            "value": 472.53907750723477,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0001191998778331237",
+            "extra": "mean: 2.1162270965509506 msec\nrounds: 145"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_tilematrixset_endpoints[/collections/public.landsat_wrs/tiles/WebMercatorQuad]",
+            "value": 484.6829962178446,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016231710393610978",
+            "extra": "mean: 2.0632042134825417 msec\nrounds: 178"
+          }
+        ]
       }
     ]
   }

From ce1fdc8caea6ec459814a8bf8dcf26de6a05e44a Mon Sep 17 00:00:00 2001
From: github-action-benchmark <github@users.noreply.github.com>
Date: Thu, 26 Feb 2026 16:44:45 +0000
Subject: [PATCH 150/150] add TiPg Benchmarks (pytest) benchmark result for
 0bdb98ac7ba20af6efdda775b512163f3c37a1fe

---
 dev/bench/data.js | 313 +++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 312 insertions(+), 1 deletion(-)

diff --git a/dev/bench/data.js b/dev/bench/data.js
index 3e0dbe08..3b8349c8 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1772119212622,
+  "lastUpdate": 1772124285580,
   "repoUrl": "https://github.com/developmentseed/tipg",
   "entries": {
     "TiPg Benchmarks": [
@@ -42845,6 +42845,317 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 2.0632042134825417 msec\nrounds: 178"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "committer": {
+            "email": "vincent.sarago@gmail.com",
+            "name": "vincentsarago",
+            "username": "vincentsarago"
+          },
+          "distinct": true,
+          "id": "0bdb98ac7ba20af6efdda775b512163f3c37a1fe",
+          "message": "1.3.0 -> 1.3.1",
+          "timestamp": "2026-02-26T11:39:56-05:00",
+          "tree_id": "5105268112c1e57c968d89db3532a6f8d9584d3e",
+          "url": "https://github.com/developmentseed/tipg/commit/0bdb98ac7ba20af6efdda775b512163f3c37a1fe"
+        },
+        "date": 1772124285064,
+        "tool": "pytest",
+        "benches": [
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-1]",
+            "value": 493.17492330688304,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002088524740028424",
+            "extra": "mean: 2.0276781173193186 msec\nrounds: 179"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[json-10]",
+            "value": 216.512642782364,
+            "unit": "iter/sec",
+            "range": "stddev: 0.004526619335723151",
+            "extra": "mean: 4.618667931577503 msec\nrounds: 190"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-1]",
+            "value": 391.25818928297525,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00012939655478183047",
+            "extra": "mean: 2.5558570462962393 msec\nrounds: 108"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collections[html-10]",
+            "value": 219.94332375085236,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00014299704405303256",
+            "extra": "mean: 4.546625844086912 msec\nrounds: 186"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[json]",
+            "value": 613.6723261239246,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00013979979405894226",
+            "extra": "mean: 1.629534129909682 msec\nrounds: 331"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_collection[html]",
+            "value": 344.7323280933573,
+            "unit": "iter/sec",
+            "range": "stddev: 0.007965536601736645",
+            "extra": "mean: 2.900801342104443 msec\nrounds: 114"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_queryables",
+            "value": 750.1098897162717,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00016243151871295471",
+            "extra": "mean: 1.3331380024575452 msec\nrounds: 407"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-1]",
+            "value": 209.28314477915293,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00026057426960741025",
+            "extra": "mean: 4.778215661157304 msec\nrounds: 121"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-10]",
+            "value": 192.54356490699115,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0002506913472199553",
+            "extra": "mean: 5.193629818181945 msec\nrounds: 143"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-50]",
+            "value": 116.45176935537017,
+            "unit": "iter/sec",
+            "range": "stddev: 0.00720255974600916",
+            "extra": "mean: 8.587246080807487 msec\nrounds: 99"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-100]",
+            "value": 83.95973419642863,
+            "unit": "iter/sec",
+            "range": "stddev: 0.006819179095836128",
+            "extra": "mean: 11.910471246376776 msec\nrounds: 69"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-200]",
+            "value": 43.746986034751494,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011773404408140044",
+            "extra": "mean: 22.858717608697102 msec\nrounds: 46"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[geojson-250]",
+            "value": 35.489239412368725,
+            "unit": "iter/sec",
+            "range": "stddev: 0.014974790896859394",
+            "extra": "mean: 28.1775551282026 msec\nrounds: 39"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-1]",
+            "value": 180.4503751875995,
+            "unit": "iter/sec",
+            "range": "stddev: 0.000535852113042782",
+            "extra": "mean: 5.541689780142501 msec\nrounds: 141"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-10]",
+            "value": 137.8801983185954,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0007847872850362315",
+            "extra": "mean: 7.252673061068071 msec\nrounds: 131"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[csv-50]",
+            "value": 72.44720573391967,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0020004475588407127",
+            "extra": "mean: 13.803154861110142 msec\nrounds: 72"
+          },
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+            "range": "stddev: 0.0026203566334360427",
+            "extra": "mean: 22.235170148931918 msec\nrounds: 47"
+          },
+          {
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+            "value": 25.216300063482088,
+            "unit": "iter/sec",
+            "range": "stddev: 0.003039171419646852",
+            "extra": "mean: 39.65688849999793 msec\nrounds: 24"
+          },
+          {
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+            "value": 20.88349392864756,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0038494071305537865",
+            "extra": "mean: 47.88470757894682 msec\nrounds: 19"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-1]",
+            "value": 200.5198801310792,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003083390968635488",
+            "extra": "mean: 4.987036693550301 msec\nrounds: 62"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-10]",
+            "value": 159.02089448395614,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003256258296407899",
+            "extra": "mean: 6.288481795081913 msec\nrounds: 122"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-50]",
+            "value": 88.79428054428931,
+            "unit": "iter/sec",
+            "range": "stddev: 0.008216756003223212",
+            "extra": "mean: 11.261986626505907 msec\nrounds: 83"
+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_items[html-100]",
+            "value": 56.44142425302777,
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+            "extra": "mean: 17.717483448273466 msec\nrounds: 58"
+          },
+          {
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+            "value": 31.267028172979717,
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+          },
+          {
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+            "extra": "mean: 39.204807000000336 msec\nrounds: 28"
+          },
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+            "value": 27.039593214197726,
+            "unit": "iter/sec",
+            "range": "stddev: 0.0003110389813163053",
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+          },
+          {
+            "name": "tests/benchmarks.py::test_benchmark_item[html-NewfoundlandandLabrador]",
+            "value": 0.8395573613276133,
+            "unit": "iter/sec",
+            "range": "stddev: 0.011663424290144261",
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+          },
+          {
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+          },
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+            "value": 8.670629783535192,
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+          },
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+            "unit": "iter/sec",
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+            "extra": "mean: 2.143916799999677 msec\nrounds: 150"
+          },
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+          }
+        ]
       }
     ]
   }