--- /srv/reproducible-results/rbuild-debian/r-b-build.zv0zGDGB/b1/numpy_2.2.4+ds-1_amd64.changes
+++ /srv/reproducible-results/rbuild-debian/r-b-build.zv0zGDGB/b2/numpy_2.2.4+ds-1_amd64.changes
├── Files
│ @@ -1,5 +1,5 @@
│  
│ - c35ed55b01dd29be96d90852710caec7 5813716 doc optional python-numpy-doc_2.2.4+ds-1_all.deb
│ + 0a12412148f1c2ce0de727bf9e7176bb 5813704 doc optional python-numpy-doc_2.2.4+ds-1_all.deb
│   5a54d7696adae46a1a8a9d77650829a3 30547976 debug optional python3-numpy-dbgsym_2.2.4+ds-1_amd64.deb
│   0da7207383b6ebbcbe9edbf5799379ed 138728 python optional python3-numpy-dev_2.2.4+ds-1_amd64.deb
│   11f487ebe5931c76367cbca87f910faf 5095276 python optional python3-numpy_2.2.4+ds-1_amd64.deb
├── python-numpy-doc_2.2.4+ds-1_all.deb
│ ├── file list
│ │ @@ -1,3 +1,3 @@
│ │  -rw-r--r--   0        0        0        4 2025-04-01 19:45:23.000000 debian-binary
│ │  -rw-r--r--   0        0        0    64876 2025-04-01 19:45:23.000000 control.tar.xz
│ │ --rw-r--r--   0        0        0  5748648 2025-04-01 19:45:23.000000 data.tar.xz
│ │ +-rw-r--r--   0        0        0  5748636 2025-04-01 19:45:23.000000 data.tar.xz
│ ├── control.tar.xz
│ │ ├── control.tar
│ │ │ ├── ./md5sums
│ │ │ │ ├── ./md5sums
│ │ │ │ │┄ Files differ
│ ├── data.tar.xz
│ │ ├── data.tar
│ │ │ ├── file list
│ │ │ │ @@ -2578,15 +2578,15 @@
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    42758 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/reference/random/generated/numpy.random.wald.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    47423 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/reference/random/generated/numpy.random.weibull.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    45546 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/reference/random/generated/numpy.random.zipf.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    82403 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/reference/random/generator.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    45982 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/reference/random/index.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    89078 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/reference/random/legacy.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    35540 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/reference/random/multithreading.html
│ │ │ │ --rw-r--r--   0 root         (0) root         (0)    44353 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/reference/random/new-or-different.html
│ │ │ │ +-rw-r--r--   0 root         (0) root         (0)    44351 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/reference/random/new-or-different.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    52723 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/reference/random/parallel.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    38070 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/reference/random/performance.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    41915 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/reference/random/upgrading-pcg64.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    45998 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/reference/routines.array-creation.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    50957 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/reference/routines.array-manipulation.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    27535 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/reference/routines.bitwise.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    54450 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/reference/routines.char.html
│ │ │ │ @@ -2755,15 +2755,15 @@
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    31655 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/release/2.2.1-notes.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    32348 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/release/2.2.2-notes.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    32865 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/release/2.2.3-notes.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    32016 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/release/2.2.4-notes.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    13407 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/release/template.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    90990 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/release.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    12397 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/search.html
│ │ │ │ --rw-r--r--   0 root         (0) root         (0)  2687924 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/searchindex.js
│ │ │ │ +-rw-r--r--   0 root         (0) root         (0)  2687935 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/searchindex.js
│ │ │ │  drwxr-xr-x   0 root         (0) root         (0)        0 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/user/
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)   177614 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/user/absolute_beginners.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    50529 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/user/basics.broadcasting.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    33464 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/user/basics.copies.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    64100 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/user/basics.creation.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    65763 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/user/basics.dispatch.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    18746 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/user/basics.html
│ │ │ ├── ./usr/share/doc/python-numpy/html/reference/random/new-or-different.html
│ │ │ │ @@ -536,30 +536,30 @@
│ │ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [1]: </span><span class="kn">import</span> <span class="nn">numpy.random</span>
│ │ │ │  
│ │ │ │  <span class="gp">In [2]: </span><span class="n">rng</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">default_rng</span><span class="p">()</span>
│ │ │ │  
│ │ │ │  <span class="gp">In [3]: </span><span class="o">%</span><span class="k">timeit</span> -n 1 rng.standard_normal(100000)
│ │ │ │  <span class="gp">   ...: </span><span class="o">%</span><span class="k">timeit</span> -n 1 numpy.random.standard_normal(100000)
│ │ │ │  <span class="gp">   ...: </span>
│ │ │ │ -<span class="go">1.36 ms +- 32.2 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ -<span class="go">2.59 ms +- 21.8 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">1.36 ms +- 23 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">2.6 ms +- 16.8 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [4]: </span><span class="o">%</span><span class="k">timeit</span> -n 1 rng.standard_exponential(100000)
│ │ │ │  <span class="gp">   ...: </span><span class="o">%</span><span class="k">timeit</span> -n 1 numpy.random.standard_exponential(100000)
│ │ │ │  <span class="gp">   ...: </span>
│ │ │ │ -<span class="go">725 us +- 6.87 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ -<span class="go">1.92 ms +- 9.03 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">730 us +- 10.9 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">1.91 ms +- 8.68 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [5]: </span><span class="o">%</span><span class="k">timeit</span> -n 1 rng.standard_gamma(3.0, 100000)
│ │ │ │  <span class="gp">   ...: </span><span class="o">%</span><span class="k">timeit</span> -n 1 numpy.random.standard_gamma(3.0, 100000)
│ │ │ │  <span class="gp">   ...: </span>
│ │ │ │ -<span class="go">2.68 ms +- 16.5 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ -<span class="go">5.03 ms +- 12 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">2.67 ms +- 8.9 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">5.04 ms +- 4.78 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │  <ul class="simple">
│ │ │ │  <li><p><a class="reference internal" href="generated/numpy.random.Generator.integers.html#numpy.random.Generator.integers" title="numpy.random.Generator.integers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">integers</span></code></a> is now the canonical way to generate integer
│ │ │ │  random numbers from a discrete uniform distribution. This replaces both
│ │ │ │  <a class="reference internal" href="generated/numpy.random.randint.html#numpy.random.randint" title="numpy.random.randint"><code class="xref py py-obj docutils literal notranslate"><span class="pre">randint</span></code></a> and the deprecated <a class="reference internal" href="generated/numpy.random.random_integers.html#numpy.random.random_integers" title="numpy.random.random_integers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">random_integers</span></code></a>.</p></li>
│ │ │ │  <li><p>The <a class="reference internal" href="generated/numpy.random.rand.html#numpy.random.rand" title="numpy.random.rand"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rand</span></code></a> and <a class="reference internal" href="generated/numpy.random.randn.html#numpy.random.randn" title="numpy.random.randn"><code class="xref py py-obj docutils literal notranslate"><span class="pre">randn</span></code></a> methods are only available through the legacy
│ │ │ │ @@ -586,21 +586,21 @@
│ │ │ │  <li><p>Standard Exponentials (<a class="reference internal" href="generated/numpy.random.Generator.standard_exponential.html#numpy.random.Generator.standard_exponential" title="numpy.random.Generator.standard_exponential"><code class="xref py py-obj docutils literal notranslate"><span class="pre">standard_exponential</span></code></a>)</p></li>
│ │ │ │  </ul>
│ │ │ │  </li>
│ │ │ │  </ul>
│ │ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [6]: </span><span class="n">rng</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">default_rng</span><span class="p">()</span>
│ │ │ │  
│ │ │ │  <span class="gp">In [7]: </span><span class="n">rng</span><span class="o">.</span><span class="n">random</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float64</span><span class="p">)</span>
│ │ │ │ -<span class="gh">Out[7]: </span><span class="go">array([0.57953394, 0.70265076, 0.73784974])</span>
│ │ │ │ +<span class="gh">Out[7]: </span><span class="go">array([0.32847107, 0.72205218, 0.28660008])</span>
│ │ │ │  
│ │ │ │  <span class="gp">In [8]: </span><span class="n">rng</span><span class="o">.</span><span class="n">random</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
│ │ │ │ -<span class="gh">Out[8]: </span><span class="go">array([0.38022113, 0.21040004, 0.7271973 ], dtype=float32)</span>
│ │ │ │ +<span class="gh">Out[8]: </span><span class="go">array([0.86483556, 0.96224266, 0.9081517 ], dtype=float32)</span>
│ │ │ │  
│ │ │ │  <span class="gp">In [9]: </span><span class="n">rng</span><span class="o">.</span><span class="n">integers</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">256</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">uint8</span><span class="p">)</span>
│ │ │ │ -<span class="gh">Out[9]: </span><span class="go">array([233,  25, 245], dtype=uint8)</span>
│ │ │ │ +<span class="gh">Out[9]: </span><span class="go">array([169, 179, 147], dtype=uint8)</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │  <ul>
│ │ │ │  <li><p>Optional <code class="docutils literal notranslate"><span class="pre">out</span></code> argument that allows existing arrays to be filled for
│ │ │ │  select distributions</p>
│ │ │ │  <ul class="simple">
│ │ │ │  <li><p>Uniforms (<a class="reference internal" href="generated/numpy.random.Generator.random.html#numpy.random.Generator.random" title="numpy.random.Generator.random"><code class="xref py py-obj docutils literal notranslate"><span class="pre">random</span></code></a>)</p></li>
│ │ │ │ @@ -613,18 +613,18 @@
│ │ │ │  </li>
│ │ │ │  </ul>
│ │ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [10]: </span><span class="n">rng</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">default_rng</span><span class="p">()</span>
│ │ │ │  
│ │ │ │  <span class="gp">In [11]: </span><span class="n">existing</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="mi">4</span><span class="p">)</span>
│ │ │ │  
│ │ │ │  <span class="gp">In [12]: </span><span class="n">rng</span><span class="o">.</span><span class="n">random</span><span class="p">(</span><span class="n">out</span><span class="o">=</span><span class="n">existing</span><span class="p">[:</span><span class="mi">2</span><span class="p">])</span>
│ │ │ │ -<span class="gh">Out[12]: </span><span class="go">array([0.14709134, 0.35773859])</span>
│ │ │ │ +<span class="gh">Out[12]: </span><span class="go">array([0.33270682, 0.75450799])</span>
│ │ │ │  
│ │ │ │  <span class="gp">In [13]: </span><span class="nb">print</span><span class="p">(</span><span class="n">existing</span><span class="p">)</span>
│ │ │ │ -<span class="go">[0.14709134 0.35773859 0.         0.        ]</span>
│ │ │ │ +<span class="go">[0.33270682 0.75450799 0.         0.        ]</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │  <ul class="simple">
│ │ │ │  <li><p>Optional <code class="docutils literal notranslate"><span class="pre">axis</span></code> argument for methods like <a class="reference internal" href="generated/numpy.random.Generator.choice.html#numpy.random.Generator.choice" title="numpy.random.Generator.choice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">choice</span></code></a>,
│ │ │ │  <a class="reference internal" href="generated/numpy.random.Generator.permutation.html#numpy.random.Generator.permutation" title="numpy.random.Generator.permutation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">permutation</span></code></a> and <a class="reference internal" href="generated/numpy.random.Generator.shuffle.html#numpy.random.Generator.shuffle" title="numpy.random.Generator.shuffle"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shuffle</span></code></a> that controls which
│ │ │ │  axis an operation is performed over for multi-dimensional arrays.</p></li>
│ │ │ │  </ul>
│ │ │ │ @@ -636,25 +636,25 @@
│ │ │ │  <span class="gh">Out[16]: </span>
│ │ │ │  <span class="go">array([[ 0,  1,  2,  3],</span>
│ │ │ │  <span class="go">       [ 4,  5,  6,  7],</span>
│ │ │ │  <span class="go">       [ 8,  9, 10, 11]])</span>
│ │ │ │  
│ │ │ │  <span class="gp">In [17]: </span><span class="n">rng</span><span class="o">.</span><span class="n">choice</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
│ │ │ │  <span class="gh">Out[17]: </span>
│ │ │ │ -<span class="go">array([[ 2,  1,  2,  3,  1],</span>
│ │ │ │ -<span class="go">       [ 6,  5,  6,  7,  5],</span>
│ │ │ │ -<span class="go">       [10,  9, 10, 11,  9]])</span>
│ │ │ │ +<span class="go">array([[ 2,  0,  3,  1,  0],</span>
│ │ │ │ +<span class="go">       [ 6,  4,  7,  5,  4],</span>
│ │ │ │ +<span class="go">       [10,  8, 11,  9,  8]])</span>
│ │ │ │  
│ │ │ │  <span class="gp">In [18]: </span><span class="n">rng</span><span class="o">.</span><span class="n">shuffle</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>        <span class="c1"># Shuffle in-place</span>
│ │ │ │  
│ │ │ │  <span class="gp">In [19]: </span><span class="n">a</span>
│ │ │ │  <span class="gh">Out[19]: </span>
│ │ │ │ -<span class="go">array([[ 2,  1,  0,  3],</span>
│ │ │ │ -<span class="go">       [ 6,  5,  4,  7],</span>
│ │ │ │ -<span class="go">       [10,  9,  8, 11]])</span>
│ │ │ │ +<span class="go">array([[ 1,  0,  3,  2],</span>
│ │ │ │ +<span class="go">       [ 5,  4,  7,  6],</span>
│ │ │ │ +<span class="go">       [ 9,  8, 11, 10]])</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │  <ul class="simple">
│ │ │ │  <li><p>Added a method to sample from the complex normal distribution
│ │ │ │  (<em class="xref py py-obj">complex_normal</em>)</p></li>
│ │ │ │  </ul>
│ │ │ │  </section>
│ │ │ │ ├── html2text {}
│ │ │ │ │ @@ -102,26 +102,26 @@
│ │ │ │ │  In [1]: import numpy.random
│ │ │ │ │  
│ │ │ │ │  In [2]: rng = np.random.default_rng()
│ │ │ │ │  
│ │ │ │ │  In [3]: %timeit -n 1 rng.standard_normal(100000)
│ │ │ │ │     ...: %timeit -n 1 numpy.random.standard_normal(100000)
│ │ │ │ │     ...:
│ │ │ │ │ -1.36 ms +- 32.2 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ -2.59 ms +- 21.8 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +1.36 ms +- 23 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +2.6 ms +- 16.8 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │  In [4]: %timeit -n 1 rng.standard_exponential(100000)
│ │ │ │ │     ...: %timeit -n 1 numpy.random.standard_exponential(100000)
│ │ │ │ │     ...:
│ │ │ │ │ -725 us +- 6.87 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ -1.92 ms +- 9.03 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +730 us +- 10.9 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +1.91 ms +- 8.68 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │  In [5]: %timeit -n 1 rng.standard_gamma(3.0, 100000)
│ │ │ │ │     ...: %timeit -n 1 numpy.random.standard_gamma(3.0, 100000)
│ │ │ │ │     ...:
│ │ │ │ │ -2.68 ms +- 16.5 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ -5.03 ms +- 12 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +2.67 ms +- 8.9 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +5.04 ms +- 4.78 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │      * _i_n_t_e_g_e_r_s is now the canonical way to generate integer random numbers from
│ │ │ │ │        a discrete uniform distribution. This replaces both _r_a_n_d_i_n_t and the
│ │ │ │ │        deprecated _r_a_n_d_o_m___i_n_t_e_g_e_r_s.
│ │ │ │ │      * The _r_a_n_d and _r_a_n_d_n methods are only available through the legacy
│ │ │ │ │        _R_a_n_d_o_m_S_t_a_t_e.
│ │ │ │ │      * _G_e_n_e_r_a_t_o_r_._r_a_n_d_o_m is now the canonical way to generate floating-point
│ │ │ │ │        random numbers, which replaces _R_a_n_d_o_m_S_t_a_t_e_._r_a_n_d_o_m___s_a_m_p_l_e, _s_a_m_p_l_e, and
│ │ │ │ │ @@ -140,38 +140,38 @@
│ │ │ │ │            o Uniforms (_r_a_n_d_o_m and _i_n_t_e_g_e_r_s)
│ │ │ │ │            o Normals (_s_t_a_n_d_a_r_d___n_o_r_m_a_l)
│ │ │ │ │            o Standard Gammas (_s_t_a_n_d_a_r_d___g_a_m_m_a)
│ │ │ │ │            o Standard Exponentials (_s_t_a_n_d_a_r_d___e_x_p_o_n_e_n_t_i_a_l)
│ │ │ │ │  In [6]: rng = np.random.default_rng()
│ │ │ │ │  
│ │ │ │ │  In [7]: rng.random(3, dtype=np.float64)
│ │ │ │ │ -Out[7]: array([0.57953394, 0.70265076, 0.73784974])
│ │ │ │ │ +Out[7]: array([0.32847107, 0.72205218, 0.28660008])
│ │ │ │ │  
│ │ │ │ │  In [8]: rng.random(3, dtype=np.float32)
│ │ │ │ │ -Out[8]: array([0.38022113, 0.21040004, 0.7271973 ], dtype=float32)
│ │ │ │ │ +Out[8]: array([0.86483556, 0.96224266, 0.9081517 ], dtype=float32)
│ │ │ │ │  
│ │ │ │ │  In [9]: rng.integers(0, 256, size=3, dtype=np.uint8)
│ │ │ │ │ -Out[9]: array([233,  25, 245], dtype=uint8)
│ │ │ │ │ +Out[9]: array([169, 179, 147], dtype=uint8)
│ │ │ │ │      * Optional out argument that allows existing arrays to be filled for select
│ │ │ │ │        distributions
│ │ │ │ │            o Uniforms (_r_a_n_d_o_m)
│ │ │ │ │            o Normals (_s_t_a_n_d_a_r_d___n_o_r_m_a_l)
│ │ │ │ │            o Standard Gammas (_s_t_a_n_d_a_r_d___g_a_m_m_a)
│ │ │ │ │            o Standard Exponentials (_s_t_a_n_d_a_r_d___e_x_p_o_n_e_n_t_i_a_l)
│ │ │ │ │        This allows multithreading to fill large arrays in chunks using suitable
│ │ │ │ │        BitGenerators in parallel.
│ │ │ │ │  In [10]: rng = np.random.default_rng()
│ │ │ │ │  
│ │ │ │ │  In [11]: existing = np.zeros(4)
│ │ │ │ │  
│ │ │ │ │  In [12]: rng.random(out=existing[:2])
│ │ │ │ │ -Out[12]: array([0.14709134, 0.35773859])
│ │ │ │ │ +Out[12]: array([0.33270682, 0.75450799])
│ │ │ │ │  
│ │ │ │ │  In [13]: print(existing)
│ │ │ │ │ -[0.14709134 0.35773859 0.         0.        ]
│ │ │ │ │ +[0.33270682 0.75450799 0.         0.        ]
│ │ │ │ │      * Optional axis argument for methods like _c_h_o_i_c_e, _p_e_r_m_u_t_a_t_i_o_n and _s_h_u_f_f_l_e
│ │ │ │ │        that controls which axis an operation is performed over for multi-
│ │ │ │ │        dimensional arrays.
│ │ │ │ │  In [14]: rng = np.random.default_rng()
│ │ │ │ │  
│ │ │ │ │  In [15]: a = np.arange(12).reshape((3, 4))
│ │ │ │ │  
│ │ │ │ │ @@ -179,25 +179,25 @@
│ │ │ │ │  Out[16]:
│ │ │ │ │  array([[ 0,  1,  2,  3],
│ │ │ │ │         [ 4,  5,  6,  7],
│ │ │ │ │         [ 8,  9, 10, 11]])
│ │ │ │ │  
│ │ │ │ │  In [17]: rng.choice(a, axis=1, size=5)
│ │ │ │ │  Out[17]:
│ │ │ │ │ -array([[ 2,  1,  2,  3,  1],
│ │ │ │ │ -       [ 6,  5,  6,  7,  5],
│ │ │ │ │ -       [10,  9, 10, 11,  9]])
│ │ │ │ │ +array([[ 2,  0,  3,  1,  0],
│ │ │ │ │ +       [ 6,  4,  7,  5,  4],
│ │ │ │ │ +       [10,  8, 11,  9,  8]])
│ │ │ │ │  
│ │ │ │ │  In [18]: rng.shuffle(a, axis=1)        # Shuffle in-place
│ │ │ │ │  
│ │ │ │ │  In [19]: a
│ │ │ │ │  Out[19]:
│ │ │ │ │ -array([[ 2,  1,  0,  3],
│ │ │ │ │ -       [ 6,  5,  4,  7],
│ │ │ │ │ -       [10,  9,  8, 11]])
│ │ │ │ │ +array([[ 1,  0,  3,  2],
│ │ │ │ │ +       [ 5,  4,  7,  6],
│ │ │ │ │ +       [ 9,  8, 11, 10]])
│ │ │ │ │      * Added a method to sample from the complex normal distribution
│ │ │ │ │        (ccoommpplleexx__nnoorrmmaall)
│ │ │ │ │  _p_r_e_v_i_o_u_s
│ │ │ │ │  _M_u_l_t_i_t_h_r_e_a_d_e_d_ _g_e_n_e_r_a_t_i_o_n
│ │ │ │ │  _n_e_x_t
│ │ │ │ │  _P_e_r_f_o_r_m_a_n_c_e
│ │ │ │ │  © Copyright 2008-2025, NumPy Developers.
│ │ │ ├── ./usr/share/doc/python-numpy/html/reference/routines.polynomials.html
│ │ │ │ @@ -609,31 +609,31 @@
│ │ │ │  
│ │ │ │  <span class="gp">In [3]: </span><span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span> <span class="o">+</span> <span class="n">rng</span><span class="o">.</span><span class="n">standard_normal</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │  <p>With the legacy polynomial module, a linear fit (i.e. polynomial of degree 1)
│ │ │ │  could be applied to these data with <a class="reference internal" href="generated/numpy.polyfit.html#numpy.polyfit" title="numpy.polyfit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">polyfit</span></code></a>:</p>
│ │ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [4]: </span><span class="n">np</span><span class="o">.</span><span class="n">polyfit</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">deg</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
│ │ │ │ -<span class="gh">Out[4]: </span><span class="go">array([0.97755325, 0.00296976])</span>
│ │ │ │ +<span class="gh">Out[4]: </span><span class="go">array([1.03580974, 0.37820034])</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │  <p>With the new polynomial API, the <a class="reference internal" href="generated/numpy.polynomial.polynomial.Polynomial.fit.html#numpy.polynomial.polynomial.Polynomial.fit" title="numpy.polynomial.polynomial.Polynomial.fit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fit</span></code></a>
│ │ │ │  class method is preferred:</p>
│ │ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [5]: </span><span class="n">p_fitted</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">polynomial</span><span class="o">.</span><span class="n">Polynomial</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">deg</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
│ │ │ │  
│ │ │ │  <span class="gp">In [6]: </span><span class="n">p_fitted</span>
│ │ │ │ -<span class="gh">Out[6]: </span><span class="go">Polynomial([4.4019594 , 4.39898964], domain=[0., 9.], window=[-1.,  1.], symbol=&#39;x&#39;)</span>
│ │ │ │ +<span class="gh">Out[6]: </span><span class="go">Polynomial([5.03934415, 4.66114381], domain=[0., 9.], window=[-1.,  1.], symbol=&#39;x&#39;)</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │  <p>Note that the coefficients are given <em>in the scaled domain</em> defined by the
│ │ │ │  linear mapping between the <code class="docutils literal notranslate"><span class="pre">window</span></code> and <code class="docutils literal notranslate"><span class="pre">domain</span></code>.
│ │ │ │  <a class="reference internal" href="generated/numpy.polynomial.polynomial.Polynomial.convert.html#numpy.polynomial.polynomial.Polynomial.convert" title="numpy.polynomial.polynomial.Polynomial.convert"><code class="xref py py-obj docutils literal notranslate"><span class="pre">convert</span></code></a> can be used to get the
│ │ │ │  coefficients in the unscaled data domain.</p>
│ │ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [7]: </span><span class="n">p_fitted</span><span class="o">.</span><span class="n">convert</span><span class="p">()</span>
│ │ │ │ -<span class="gh">Out[7]: </span><span class="go">Polynomial([0.00296976, 0.97755325], domain=[-1.,  1.], window=[-1.,  1.], symbol=&#39;x&#39;)</span>
│ │ │ │ +<span class="gh">Out[7]: </span><span class="go">Polynomial([0.37820034, 1.03580974], domain=[-1.,  1.], window=[-1.,  1.], symbol=&#39;x&#39;)</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │  </section>
│ │ │ │  </section>
│ │ │ │  <section id="documentation-for-the-polynomial-package">
│ │ │ │  <h2>Documentation for the <a class="reference internal" href="routines.polynomials-package.html#module-numpy.polynomial" title="numpy.polynomial"><code class="xref py py-obj docutils literal notranslate"><span class="pre">polynomial</span></code></a> package<a class="headerlink" href="#documentation-for-the-polynomial-package" title="Link to this heading">#</a></h2>
│ │ │ │  <p>In addition to standard power series polynomials, the polynomial package
│ │ │ │ ├── html2text {}
│ │ │ │ │ @@ -150,26 +150,26 @@
│ │ │ │ │  
│ │ │ │ │  In [2]: x = np.arange(10)
│ │ │ │ │  
│ │ │ │ │  In [3]: y = np.arange(10) + rng.standard_normal(10)
│ │ │ │ │  With the legacy polynomial module, a linear fit (i.e. polynomial of degree 1)
│ │ │ │ │  could be applied to these data with _p_o_l_y_f_i_t:
│ │ │ │ │  In [4]: np.polyfit(x, y, deg=1)
│ │ │ │ │ -Out[4]: array([0.97755325, 0.00296976])
│ │ │ │ │ +Out[4]: array([1.03580974, 0.37820034])
│ │ │ │ │  With the new polynomial API, the _f_i_t class method is preferred:
│ │ │ │ │  In [5]: p_fitted = np.polynomial.Polynomial.fit(x, y, deg=1)
│ │ │ │ │  
│ │ │ │ │  In [6]: p_fitted
│ │ │ │ │ -Out[6]: Polynomial([4.4019594 , 4.39898964], domain=[0., 9.], window=[-1.,
│ │ │ │ │ +Out[6]: Polynomial([5.03934415, 4.66114381], domain=[0., 9.], window=[-1.,
│ │ │ │ │  1.], symbol='x')
│ │ │ │ │  Note that the coefficients are given iinn tthhee ssccaalleedd ddoommaaiinn defined by the linear
│ │ │ │ │  mapping between the window and domain. _c_o_n_v_e_r_t can be used to get the
│ │ │ │ │  coefficients in the unscaled data domain.
│ │ │ │ │  In [7]: p_fitted.convert()
│ │ │ │ │ -Out[7]: Polynomial([0.00296976, 0.97755325], domain=[-1.,  1.], window=[-1.,
│ │ │ │ │ +Out[7]: Polynomial([0.37820034, 1.03580974], domain=[-1.,  1.], window=[-1.,
│ │ │ │ │  1.], symbol='x')
│ │ │ │ │  ********** DDooccuummeennttaattiioonn ffoorr tthhee _pp_oo_ll_yy_nn_oo_mm_ii_aa_ll ppaacckkaaggee_## **********
│ │ │ │ │  In addition to standard power series polynomials, the polynomial package
│ │ │ │ │  provides several additional kinds of polynomials including Chebyshev, Hermite
│ │ │ │ │  (two subtypes), Laguerre, and Legendre polynomials. Each of these has an
│ │ │ │ │  associated ccoonnvveenniieennccee ccllaassss available from the _n_u_m_p_y_._p_o_l_y_n_o_m_i_a_l namespace that
│ │ │ │ │  provides a consistent interface for working with polynomials regardless of
│ │ │ ├── ./usr/share/doc/python-numpy/html/searchindex.js
│ │ │ │ ├── js-beautify {}
│ │ │ │ │ @@ -32326,15 +32326,14 @@
│ │ │ │ │          "001": [335, 420, 947, 1541, 1596, 1602, 1653, 1659, 1710, 1716, 1767, 1773, 1824, 1830, 1879, 1886, 1893, 2160],
│ │ │ │ │          "0010": 1519,
│ │ │ │ │          "0011": 138,
│ │ │ │ │          "001637457145670096": 2315,
│ │ │ │ │          "001j": [1596, 1653, 1710, 1767, 1824, 1879, 1893],
│ │ │ │ │          "002": [1335, 1602, 1659, 1716, 1773, 1830, 1886],
│ │ │ │ │          "0024": 477,
│ │ │ │ │ -        "00296976": 2488,
│ │ │ │ │          "003": [2327, 2372, 2419],
│ │ │ │ │          "005": 2188,
│ │ │ │ │          "0050000029": [357, 359],
│ │ │ │ │          "0050045159": [357, 359],
│ │ │ │ │          "00578369": 1754,
│ │ │ │ │          "00625": 1585,
│ │ │ │ │          "007000999997857": 1541,
│ │ │ │ │ @@ -32369,24 +32368,26 @@
│ │ │ │ │          "0253": 2652,
│ │ │ │ │          "02654825": 1891,
│ │ │ │ │          "02658058e": 2666,
│ │ │ │ │          "02755911": 2666,
│ │ │ │ │          "027559113243068367": 2666,
│ │ │ │ │          "02785049": 1867,
│ │ │ │ │          "02i": [513, 2644],
│ │ │ │ │ -        "03": [55, 67, 163, 566, 669, 1335, 1586, 1816, 2461, 2658],
│ │ │ │ │ +        "03": [55, 67, 163, 566, 669, 1335, 1586, 1816, 2658],
│ │ │ │ │          "03125": [1585, 2491],
│ │ │ │ │          "0326911": [2335, 2378, 2425],
│ │ │ │ │ +        "03580974": 2488,
│ │ │ │ │          "0361": 2607,
│ │ │ │ │          "03703704": 1809,
│ │ │ │ │ +        "03934415": 2488,
│ │ │ │ │          "03943254e": 2104,
│ │ │ │ │          "03968254": [1113, 1543],
│ │ │ │ │          "0396842": 680,
│ │ │ │ │          "03t13": 55,
│ │ │ │ │ -        "04": [54, 55, 164, 410, 547, 1586, 2463, 2594, 2659],
│ │ │ │ │ +        "04": [54, 55, 164, 410, 547, 1586, 2461, 2463, 2594, 2659],
│ │ │ │ │          "0400": 360,
│ │ │ │ │          "04097352": 2635,
│ │ │ │ │          "04166667": [1544, 1585],
│ │ │ │ │          "04211c6": 2521,
│ │ │ │ │          "04551152e": 2104,
│ │ │ │ │          "04719755": 1911,
│ │ │ │ │          "05": [55, 91, 163, 410, 548, 669, 896, 1095, 1871, 2083, 2173, 2353, 2400, 2450, 2648],
│ │ │ │ │ @@ -32934,15 +32935,15 @@
│ │ │ │ │          "14644661": 1756,
│ │ │ │ │          "14673309e": 2666,
│ │ │ │ │          "14682": 2560,
│ │ │ │ │          "14686": 2553,
│ │ │ │ │          "14687": 2557,
│ │ │ │ │          "14692469": 2635,
│ │ │ │ │          "146925": 2635,
│ │ │ │ │ -        "14709134": 2461,
│ │ │ │ │ +        "147": 2461,
│ │ │ │ │          "14717": 2560,
│ │ │ │ │          "14718": 2560,
│ │ │ │ │          "14720": 2560,
│ │ │ │ │          "14730": 2560,
│ │ │ │ │          "14758": 2558,
│ │ │ │ │          "14771": 2560,
│ │ │ │ │          "14777": 2560,
│ │ │ │ │ @@ -33157,14 +33158,15 @@
│ │ │ │ │          "168": 2463,
│ │ │ │ │          "16815": 2572,
│ │ │ │ │          "16830": 2588,
│ │ │ │ │          "16832": 2567,
│ │ │ │ │          "16841": 2572,
│ │ │ │ │          "16872": 2567,
│ │ │ │ │          "16875": 2567,
│ │ │ │ │ +        "169": 2461,
│ │ │ │ │          "16904": 2567,
│ │ │ │ │          "16905": 2567,
│ │ │ │ │          "16906": 2567,
│ │ │ │ │          "16916": 2567,
│ │ │ │ │          "16922": 2567,
│ │ │ │ │          "16938": 2572,
│ │ │ │ │          "16959": 2568,
│ │ │ │ │ @@ -33241,14 +33243,15 @@
│ │ │ │ │          "17756": 2571,
│ │ │ │ │          "1776": 2612,
│ │ │ │ │          "17774": 2571,
│ │ │ │ │          "17775": 2571,
│ │ │ │ │          "17786": 2571,
│ │ │ │ │          "178": 566,
│ │ │ │ │          "17843": [2576, 2583],
│ │ │ │ │ +        "179": 2461,
│ │ │ │ │          "17900": 2576,
│ │ │ │ │          "17917": 2571,
│ │ │ │ │          "17918": 2571,
│ │ │ │ │          "17919": 2571,
│ │ │ │ │          "17921": 2576,
│ │ │ │ │          "17924": 2571,
│ │ │ │ │          "1793": 2612,
│ │ │ │ │ @@ -33666,20 +33669,19 @@
│ │ │ │ │          "20985": 2585,
│ │ │ │ │          "20986": 2585,
│ │ │ │ │          "20992": 2585,
│ │ │ │ │          "20993": 2588,
│ │ │ │ │          "20_ver": 0,
│ │ │ │ │          "20count": 141,
│ │ │ │ │          "20d03bcfd": 0,
│ │ │ │ │ -        "21": [21, 26, 28, 30, 31, 40, 47, 54, 55, 58, 74, 98, 162, 163, 270, 336, 357, 359, 377, 388, 396, 403, 476, 477, 628, 661, 669, 880, 905, 944, 1069, 1229, 1312, 1466, 1869, 1881, 1986, 2091, 2168, 2172, 2208, 2225, 2230, 2237, 2238, 2342, 2343, 2461, 2463, 2513, 2515, 2517, 2519, 2567, 2568, 2572, 2583, 2585, 2588, 2594, 2627, 2628, 2632, 2635, 2637, 2641, 2642, 2649, 2654, 2657, 2665, 2666, 2668],
│ │ │ │ │ +        "21": [21, 26, 28, 30, 31, 40, 47, 54, 55, 58, 74, 98, 162, 163, 270, 336, 357, 359, 377, 388, 396, 403, 476, 477, 628, 661, 669, 880, 905, 944, 1069, 1229, 1312, 1466, 1869, 1881, 1986, 2091, 2168, 2172, 2208, 2225, 2230, 2237, 2238, 2342, 2343, 2463, 2513, 2515, 2517, 2519, 2567, 2568, 2572, 2583, 2585, 2588, 2594, 2627, 2628, 2632, 2635, 2637, 2641, 2642, 2649, 2654, 2657, 2665, 2666, 2668],
│ │ │ │ │          "210": 363,
│ │ │ │ │          "21001": 2588,
│ │ │ │ │          "21029": 2588,
│ │ │ │ │          "210306068529402873165736369884012333109": [2275, 2280],
│ │ │ │ │ -        "21040004": 2461,
│ │ │ │ │          "21048": 2586,
│ │ │ │ │          "211": 2491,
│ │ │ │ │          "21106": 2586,
│ │ │ │ │          "21120": 2599,
│ │ │ │ │          "21130": 2588,
│ │ │ │ │          "21137": 2586,
│ │ │ │ │          "21138": 2586,
│ │ │ │ │ @@ -33898,15 +33900,15 @@
│ │ │ │ │          "22972": 2596,
│ │ │ │ │          "22976": 2596,
│ │ │ │ │          "22982": 2599,
│ │ │ │ │          "22989": 2596,
│ │ │ │ │          "22997": 2599,
│ │ │ │ │          "22998": 2599,
│ │ │ │ │          "22e": 457,
│ │ │ │ │ -        "23": [1, 8, 10, 18, 32, 43, 47, 54, 55, 58, 62, 63, 75, 79, 98, 135, 139, 163, 270, 287, 329, 336, 483, 513, 628, 669, 880, 905, 917, 1029, 1069, 1104, 1229, 1241, 1312, 1324, 1466, 1478, 1545, 1707, 1748, 1777, 1903, 1913, 1986, 1998, 2154, 2208, 2235, 2237, 2256, 2321, 2340, 2342, 2365, 2383, 2412, 2430, 2513, 2519, 2542, 2552, 2595, 2622, 2627, 2635, 2637, 2641, 2645, 2648, 2657, 2666],
│ │ │ │ │ +        "23": [1, 8, 10, 18, 32, 43, 47, 54, 55, 58, 62, 63, 75, 79, 98, 135, 139, 163, 270, 287, 329, 336, 483, 513, 628, 669, 880, 905, 917, 1029, 1069, 1104, 1229, 1241, 1312, 1324, 1466, 1478, 1545, 1707, 1748, 1777, 1903, 1913, 1986, 1998, 2154, 2208, 2235, 2237, 2256, 2321, 2340, 2342, 2365, 2383, 2412, 2430, 2461, 2513, 2519, 2542, 2552, 2595, 2622, 2627, 2635, 2637, 2641, 2645, 2648, 2657, 2666],
│ │ │ │ │          "230": 409,
│ │ │ │ │          "230000071797338e": 477,
│ │ │ │ │          "23011": 2599,
│ │ │ │ │          "23019": 2599,
│ │ │ │ │          "23020": 2599,
│ │ │ │ │          "23030": 2596,
│ │ │ │ │          "23031": 2596,
│ │ │ │ │ @@ -33933,15 +33935,15 @@
│ │ │ │ │          "23208": 2597,
│ │ │ │ │          "23221": 2597,
│ │ │ │ │          "23226": 2597,
│ │ │ │ │          "23229": 2599,
│ │ │ │ │          "23240": 2599,
│ │ │ │ │          "23275": 2599,
│ │ │ │ │          "23297648": 349,
│ │ │ │ │ -        "233": [28, 2461, 2463],
│ │ │ │ │ +        "233": [28, 2463],
│ │ │ │ │          "23302": 2599,
│ │ │ │ │          "23314": 2599,
│ │ │ │ │          "23322": 2599,
│ │ │ │ │          "23341": 2597,
│ │ │ │ │          "23342": 2597,
│ │ │ │ │          "23343": 2597,
│ │ │ │ │          "23344": 2597,
│ │ │ │ │ @@ -34081,15 +34083,14 @@
│ │ │ │ │          "24455": 2602,
│ │ │ │ │          "24456": 2602,
│ │ │ │ │          "24460": 2602,
│ │ │ │ │          "24477": 2622,
│ │ │ │ │          "24494": 2622,
│ │ │ │ │          "24495": 2602,
│ │ │ │ │          "24496": 2602,
│ │ │ │ │ -        "245": 2461,
│ │ │ │ │          "24521": 2602,
│ │ │ │ │          "24522": 2602,
│ │ │ │ │          "24524": 2602,
│ │ │ │ │          "24526": 2602,
│ │ │ │ │          "24532": [2602, 2622],
│ │ │ │ │          "24540": 2622,
│ │ │ │ │          "24541": 2602,
│ │ │ │ │ @@ -34176,15 +34177,15 @@
│ │ │ │ │          "2495": 2615,
│ │ │ │ │          "24955": 2604,
│ │ │ │ │          "24962": 2604,
│ │ │ │ │          "24971": 2604,
│ │ │ │ │          "24972": 2604,
│ │ │ │ │          "24977": 2604,
│ │ │ │ │          "24978": 2622,
│ │ │ │ │ -        "25": [10, 50, 54, 55, 56, 58, 69, 140, 361, 377, 409, 418, 440, 481, 489, 520, 526, 528, 544, 624, 645, 660, 667, 669, 680, 870, 881, 893, 917, 1056, 1070, 1083, 1135, 1142, 1143, 1240, 1349, 1526, 1527, 1542, 1581, 1606, 1651, 1694, 1702, 1834, 1907, 2089, 2090, 2091, 2204, 2239, 2240, 2251, 2265, 2266, 2323, 2325, 2337, 2348, 2349, 2367, 2380, 2390, 2396, 2414, 2427, 2438, 2446, 2461, 2463, 2473, 2476, 2491, 2513, 2515, 2519, 2567, 2602, 2604, 2622, 2623, 2635, 2641, 2645, 2654, 2657, 2659, 2666],
│ │ │ │ │ +        "25": [10, 50, 54, 55, 56, 58, 69, 140, 361, 377, 409, 418, 440, 481, 489, 520, 526, 528, 544, 624, 645, 660, 667, 669, 680, 870, 881, 893, 917, 1056, 1070, 1083, 1135, 1142, 1143, 1240, 1349, 1526, 1527, 1542, 1581, 1606, 1651, 1694, 1702, 1834, 1907, 2089, 2090, 2091, 2204, 2239, 2240, 2251, 2265, 2266, 2323, 2325, 2337, 2348, 2349, 2367, 2380, 2390, 2396, 2414, 2427, 2438, 2446, 2463, 2473, 2476, 2491, 2513, 2515, 2519, 2567, 2602, 2604, 2622, 2623, 2635, 2641, 2645, 2654, 2657, 2659, 2666],
│ │ │ │ │          "250": [361, 2463],
│ │ │ │ │          "2500": 652,
│ │ │ │ │          "25000": 652,
│ │ │ │ │          "25003": 2604,
│ │ │ │ │          "25043": 2604,
│ │ │ │ │          "25049": 2604,
│ │ │ │ │          "25054": 2622,
│ │ │ │ │ @@ -34593,14 +34594,15 @@
│ │ │ │ │          "28521": 2633,
│ │ │ │ │          "28533": 2633,
│ │ │ │ │          "28534": 2633,
│ │ │ │ │          "28542": 2633,
│ │ │ │ │          "286": 354,
│ │ │ │ │          "28613933": 1153,
│ │ │ │ │          "28657": 28,
│ │ │ │ │ +        "28660008": 2461,
│ │ │ │ │          "28790332": 2666,
│ │ │ │ │          "2883": [1643, 1655],
│ │ │ │ │          "28853036": 1867,
│ │ │ │ │          "28904982231052": 675,
│ │ │ │ │          "2892": 2615,
│ │ │ │ │          "28mathematical_const": 76,
│ │ │ │ │          "29": [10, 21, 45, 54, 55, 76, 144, 163, 1638, 1647, 2208, 2328, 2463, 2464, 2513, 2547, 2548, 2549, 2550, 2551, 2552, 2553, 2554, 2555, 2556, 2557, 2558, 2559, 2560, 2561, 2562, 2563, 2564, 2565, 2566, 2567, 2568, 2587, 2602, 2622, 2641, 2657, 2666],
│ │ │ │ │ @@ -34703,32 +34705,34 @@
│ │ │ │ │          "3173": 2617,
│ │ │ │ │          "3175": 2617,
│ │ │ │ │          "317811": 28,
│ │ │ │ │          "317j": [411, 617],
│ │ │ │ │          "318": 1526,
│ │ │ │ │          "3192": 2615,
│ │ │ │ │          "31962608": [196, 836, 1008, 1179, 1266, 1421, 1940],
│ │ │ │ │ -        "32": [1, 13, 21, 50, 54, 55, 56, 59, 61, 62, 63, 65, 69, 74, 137, 144, 215, 270, 336, 390, 434, 514, 584, 661, 880, 893, 1027, 1069, 1083, 1143, 1198, 1229, 1249, 1281, 1312, 1345, 1348, 1435, 1466, 1519, 1884, 1886, 1902, 1955, 1986, 2076, 2091, 2168, 2204, 2208, 2225, 2240, 2261, 2262, 2268, 2269, 2272, 2273, 2274, 2277, 2278, 2279, 2282, 2283, 2284, 2287, 2288, 2299, 2300, 2301, 2302, 2303, 2304, 2314, 2331, 2375, 2422, 2458, 2459, 2460, 2461, 2462, 2508, 2513, 2520, 2521, 2522, 2535, 2543, 2544, 2545, 2546, 2547, 2557, 2562, 2564, 2572, 2574, 2579, 2582, 2587, 2588, 2599, 2602, 2606, 2607, 2617, 2622, 2633, 2637, 2639, 2641, 2645, 2646, 2648, 2649, 2652, 2657, 2658, 2659, 2666],
│ │ │ │ │ +        "32": [1, 13, 21, 50, 54, 55, 56, 59, 61, 62, 63, 65, 69, 74, 137, 144, 215, 270, 336, 390, 434, 514, 584, 661, 880, 893, 1027, 1069, 1083, 1143, 1198, 1229, 1249, 1281, 1312, 1345, 1348, 1435, 1466, 1519, 1884, 1886, 1902, 1955, 1986, 2076, 2091, 2168, 2204, 2208, 2225, 2240, 2261, 2262, 2268, 2269, 2272, 2273, 2274, 2277, 2278, 2279, 2282, 2283, 2284, 2287, 2288, 2299, 2300, 2301, 2302, 2303, 2304, 2314, 2331, 2375, 2422, 2458, 2459, 2460, 2462, 2508, 2513, 2520, 2521, 2522, 2535, 2543, 2544, 2545, 2546, 2547, 2557, 2562, 2564, 2572, 2574, 2579, 2582, 2587, 2588, 2599, 2602, 2606, 2607, 2617, 2622, 2633, 2637, 2639, 2641, 2645, 2646, 2648, 2649, 2652, 2657, 2658, 2659, 2666],
│ │ │ │ │          "320": 1149,
│ │ │ │ │          "32000": 2094,
│ │ │ │ │          "32119158": 1867,
│ │ │ │ │          "323": [260, 421, 948, 1059, 1222, 1305, 1350, 1459, 1579, 1590, 1604, 1605, 1639, 1649, 1661, 1662, 1696, 1706, 1718, 1719, 1753, 1763, 1775, 1776, 1810, 1820, 1832, 1833, 1866, 1875, 1887, 1888, 1979, 2312],
│ │ │ │ │          "3263": 2617,
│ │ │ │ │          "32767": 535,
│ │ │ │ │          "32768": 535,
│ │ │ │ │ +        "32847107": 2461,
│ │ │ │ │          "32_767": 62,
│ │ │ │ │          "32_768": 62,
│ │ │ │ │          "32bit": [50, 61, 62, 2364, 2377, 2379, 2388, 2411, 2424, 2426, 2435, 2517, 2572, 2589],
│ │ │ │ │          "32x": 2583,
│ │ │ │ │          "33": [54, 58, 144, 336, 838, 939, 941, 1010, 1907, 1922, 1999, 2173, 2175, 2176, 2208, 2303, 2513, 2621, 2637, 2641, 2657, 2666],
│ │ │ │ │          "330": 363,
│ │ │ │ │          "3301": 2615,
│ │ │ │ │          "330m": 409,
│ │ │ │ │          "3312": 2615,
│ │ │ │ │          "3324": [13, 2615],
│ │ │ │ │ +        "33270682": 2461,
│ │ │ │ │          "333": [652, 950, 2173],
│ │ │ │ │          "33333": [2173, 2175],
│ │ │ │ │          "33333333": [1335, 1544, 1702, 1750, 1771, 1812, 1816, 1818, 1819, 1863, 1865, 2491, 2645],
│ │ │ │ │          "333333333": 2171,
│ │ │ │ │          "3333333333333": 2171,
│ │ │ │ │          "33333334": 2171,
│ │ │ │ │          "3333333e": 1335,
│ │ │ │ │ @@ -34764,15 +34768,14 @@
│ │ │ │ │          "35": [409, 489, 669, 870, 1056, 2204, 2325, 2369, 2416, 2572, 2635, 2641, 2657, 2666],
│ │ │ │ │          "350": [544, 635],
│ │ │ │ │          "3504": 2617,
│ │ │ │ │          "3534857623790153": 666,
│ │ │ │ │          "35355339": 1636,
│ │ │ │ │          "3541": 2615,
│ │ │ │ │          "35489284e": 2104,
│ │ │ │ │ -        "35773859": 2461,
│ │ │ │ │          "36": [58, 137, 355, 1752, 1761, 2204, 2225, 2323, 2367, 2414, 2461, 2463, 2491, 2536, 2649, 2657, 2659, 2666],
│ │ │ │ │          "360": [544, 2103, 2238, 2576],
│ │ │ │ │          "36045180e": 147,
│ │ │ │ │          "3608": 2615,
│ │ │ │ │          "361": [1344, 1346, 1522, 1908],
│ │ │ │ │          "362": 12,
│ │ │ │ │          "3628523": 2458,
│ │ │ │ │ @@ -34790,19 +34793,19 @@
│ │ │ │ │          "3728": 2615,
│ │ │ │ │          "3728973198": 2594,
│ │ │ │ │          "3743": 2615,
│ │ │ │ │          "375": [1634, 1663],
│ │ │ │ │          "37601032": [2387, 2434],
│ │ │ │ │          "377": 28,
│ │ │ │ │          "378": 652,
│ │ │ │ │ +        "37820034": 2488,
│ │ │ │ │          "379": 533,
│ │ │ │ │          "3793": 2615,
│ │ │ │ │          "38": [59, 542, 968, 969, 1545, 1752, 1761, 2107, 2204, 2208, 2313, 2333, 2361, 2377, 2408, 2424, 2510, 2572, 2657, 2666],
│ │ │ │ │          "380": [2238, 2576],
│ │ │ │ │ -        "38022113": 2461,
│ │ │ │ │          "38268343": 642,
│ │ │ │ │          "38268343j": 642,
│ │ │ │ │          "3832": 2615,
│ │ │ │ │          "38434191e": 660,
│ │ │ │ │          "38446749": 1867,
│ │ │ │ │          "385": [2270, 2300],
│ │ │ │ │          "3854": [287, 1241, 1324, 1478, 1998],
│ │ │ │ │ @@ -34819,15 +34822,14 @@
│ │ │ │ │          "3900": 2615,
│ │ │ │ │          "3900x": 2463,
│ │ │ │ │          "39015": 2316,
│ │ │ │ │          "39211752": 1153,
│ │ │ │ │          "39337286e": 1149,
│ │ │ │ │          "3971": 2615,
│ │ │ │ │          "39804426": 1153,
│ │ │ │ │ -        "39898964": 2488,
│ │ │ │ │          "3992": 2615,
│ │ │ │ │          "39924804": [2339, 2352, 2382, 2389, 2399, 2429, 2436, 2449],
│ │ │ │ │          "3_000": 669,
│ │ │ │ │          "3abcd": 513,
│ │ │ │ │          "3d": [63, 2513, 2621, 2635, 2637, 2657, 2666],
│ │ │ │ │          "3e": [357, 359, 1596, 1653, 1710, 1767, 1824, 1879, 1893, 1915, 2086],
│ │ │ │ │          "3ej": 2086,
│ │ │ │ │ @@ -34848,15 +34850,14 @@
│ │ │ │ │          "4000000000000p": 669,
│ │ │ │ │          "4001": [99, 906],
│ │ │ │ │          "40067661": 2635,
│ │ │ │ │          "4007": 2620,
│ │ │ │ │          "40077": [1644, 1656],
│ │ │ │ │          "400e": 2658,
│ │ │ │ │          "4018": [2615, 2617],
│ │ │ │ │ -        "4019594": 2488,
│ │ │ │ │          "4024": 2617,
│ │ │ │ │          "4027": 2617,
│ │ │ │ │          "40274501": 1154,
│ │ │ │ │          "4051": [2615, 2617],
│ │ │ │ │          "409": 2463,
│ │ │ │ │          "40918587e": 2104,
│ │ │ │ │          "40919914": 2666,
│ │ │ │ │ @@ -35162,24 +35163,23 @@
│ │ │ │ │          "57510612": 660,
│ │ │ │ │          "576": 2615,
│ │ │ │ │          "57721": [2326, 2371, 2418],
│ │ │ │ │          "5772156649015328606065120900824024310421": 76,
│ │ │ │ │          "5773": 2522,
│ │ │ │ │          "57860025": 1154,
│ │ │ │ │          "579365079365115": [1113, 1543],
│ │ │ │ │ -        "57953394": 2461,
│ │ │ │ │          "57x": 2594,
│ │ │ │ │          "58": [669, 1748, 1777, 2204, 2208, 2332, 2376, 2423, 2464, 2572, 2635, 2657],
│ │ │ │ │          "582892": 2635,
│ │ │ │ │          "58289208": 2635,
│ │ │ │ │          "584388": 55,
│ │ │ │ │          "585": [378, 1358, 1514, 2583],
│ │ │ │ │          "58578644": 1756,
│ │ │ │ │          "58826587": 349,
│ │ │ │ │ -        "59": [55, 2208, 2461, 2602, 2657],
│ │ │ │ │ +        "59": [55, 2208, 2602, 2657],
│ │ │ │ │          "5910": [287, 1241, 1324, 1478, 1998],
│ │ │ │ │          "595726": 2635,
│ │ │ │ │          "59572603": 2635,
│ │ │ │ │          "5969": [99, 906],
│ │ │ │ │          "598150": 2642,
│ │ │ │ │          "59815003": 38,
│ │ │ │ │          "5982": 2642,
│ │ │ │ │ @@ -35306,14 +35306,15 @@
│ │ │ │ │          "65_535": 62,
│ │ │ │ │          "65x": 2594,
│ │ │ │ │          "66": [13, 58, 1922, 2547, 2657, 2666],
│ │ │ │ │          "6600475": 1149,
│ │ │ │ │          "6602": 2522,
│ │ │ │ │          "6606": 2522,
│ │ │ │ │          "6611": 2522,
│ │ │ │ │ +        "66114381": 2488,
│ │ │ │ │          "6614": 2522,
│ │ │ │ │          "6618": 2522,
│ │ │ │ │          "6621": 2522,
│ │ │ │ │          "6628": 2522,
│ │ │ │ │          "6636": 2522,
│ │ │ │ │          "6641": 2522,
│ │ │ │ │          "6642": 2522,
│ │ │ │ │ @@ -35331,15 +35332,15 @@
│ │ │ │ │          "6678": 2522,
│ │ │ │ │          "6686": 2522,
│ │ │ │ │          "6689502": 2576,
│ │ │ │ │          "669": 669,
│ │ │ │ │          "6695": 2522,
│ │ │ │ │          "6697": 2522,
│ │ │ │ │          "6698": 2522,
│ │ │ │ │ -        "67": [409, 670, 671, 672, 1901, 2542, 2644, 2657, 2666],
│ │ │ │ │ +        "67": [409, 670, 671, 672, 1901, 2461, 2542, 2644, 2657, 2666],
│ │ │ │ │          "67046769e": 147,
│ │ │ │ │          "6717": 2522,
│ │ │ │ │          "6718": 2522,
│ │ │ │ │          "6719": 2522,
│ │ │ │ │          "6721": 2522,
│ │ │ │ │          "6726": 2522,
│ │ │ │ │          "6735": 2522,
│ │ │ │ │ @@ -35394,15 +35395,14 @@
│ │ │ │ │          "6th": [513, 669],
│ │ │ │ │          "6x": [1527, 2599],
│ │ │ │ │          "7": [12, 31, 32, 38, 42, 47, 54, 55, 56, 58, 59, 60, 61, 63, 66, 68, 74, 75, 89, 91, 96, 97, 98, 99, 117, 118, 132, 135, 137, 139, 140, 141, 147, 149, 150, 160, 170, 171, 213, 227, 234, 261, 270, 337, 348, 353, 355, 357, 359, 364, 365, 366, 367, 369, 370, 372, 375, 408, 435, 467, 471, 472, 478, 514, 520, 527, 530, 542, 543, 544, 548, 565, 566, 567, 577, 608, 628, 640, 648, 651, 653, 659, 661, 664, 666, 669, 830, 853, 857, 860, 863, 864, 865, 880, 881, 883, 886, 887, 888, 893, 896, 897, 903, 904, 906, 912, 913, 914, 917, 919, 920, 921, 924, 926, 927, 928, 941, 943, 946, 950, 952, 953, 957, 963, 968, 969, 1002, 1033, 1040, 1044, 1048, 1049, 1050, 1060, 1069, 1070, 1072, 1076, 1077, 1078, 1083, 1101, 1106, 1107, 1116, 1119, 1127, 1135, 1143, 1148, 1149, 1157, 1159, 1160, 1161, 1164, 1166, 1167, 1191, 1193, 1194, 1195, 1200, 1203, 1204, 1205, 1206, 1212, 1213, 1223, 1228, 1229, 1230, 1236, 1240, 1242, 1248, 1249, 1278, 1283, 1286, 1306, 1312, 1331, 1334, 1342, 1344, 1346, 1433, 1437, 1440, 1460, 1466, 1510, 1512, 1520, 1521, 1522, 1554, 1615, 1638, 1644, 1647, 1656, 1672, 1695, 1704, 1705, 1729, 1758, 1770, 1786, 1805, 1816, 1843, 1870, 1880, 1882, 1904, 1908, 1912, 1913, 1914, 1916, 1953, 1957, 1960, 1980, 1986, 2071, 2076, 2078, 2079, 2081, 2082, 2085, 2087, 2091, 2096, 2098, 2104, 2107, 2110, 2115, 2116, 2162, 2163, 2164, 2168, 2171, 2172, 2204, 2205, 2206, 2208, 2209, 2210, 2211, 2212, 2222, 2224, 2225, 2235, 2236, 2237, 2238, 2240, 2241, 2246, 2248, 2257, 2315, 2320, 2323, 2328, 2333, 2339, 2341, 2342, 2347, 2352, 2367, 2377, 2382, 2384, 2388, 2389, 2395, 2399, 2414, 2424, 2429, 2431, 2435, 2436, 2445, 2449, 2457, 2458, 2460, 2461, 2463, 2488, 2491, 2513, 2518, 2519, 2520, 2521, 2522, 2525, 2526, 2527, 2528, 2529, 2530, 2531, 2532, 2533, 2534, 2535, 2536, 2537, 2538, 2539, 2540, 2541, 2542, 2543, 2544, 2545, 2546, 2547, 2548, 2549, 2550, 2551, 2552, 2553, 2554, 2555, 2556, 2557, 2558, 2559, 2560, 2561, 2562, 2563, 2564, 2565, 2566, 2572, 2574, 2575, 2576, 2577, 2578, 2579, 2580, 2581, 2589, 2591, 2592, 2593, 2594, 2600, 2610, 2612, 2616, 2619, 2622, 2626, 2635, 2637, 2638, 2639, 2641, 2642, 2644, 2645, 2647, 2649, 2656, 2657, 2658, 2660, 2666],
│ │ │ │ │          "70": [59, 457, 567, 2241, 2248, 2657],
│ │ │ │ │          "700": 567,
│ │ │ │ │          "70000000": 2635,
│ │ │ │ │          "701": 2463,
│ │ │ │ │ -        "70265076": 2461,
│ │ │ │ │          "703": 2625,
│ │ │ │ │          "7054": 2535,
│ │ │ │ │          "706": 520,
│ │ │ │ │          "70710678": [216, 247, 641, 1199, 1216, 1282, 1299, 1436, 1453, 1636, 1642, 1956, 1973, 2103],
│ │ │ │ │          "70710678118654746": 637,
│ │ │ │ │          "70710678j": 641,
│ │ │ │ │          "7083": 2529,
│ │ │ │ │ @@ -35417,31 +35417,30 @@
│ │ │ │ │          "7183": 2642,
│ │ │ │ │          "7185": [99, 906],
│ │ │ │ │          "71946897": 1153,
│ │ │ │ │          "72": [13, 355, 544, 669, 1764, 2463, 2572, 2657, 2659],
│ │ │ │ │          "720": [55, 356, 358, 1897, 2225, 2238, 2576],
│ │ │ │ │          "72075441": 680,
│ │ │ │ │          "721fc64": 13,
│ │ │ │ │ +        "72205218": 2461,
│ │ │ │ │          "72375": 1644,
│ │ │ │ │ -        "725": 2461,
│ │ │ │ │          "72538256": [103, 126],
│ │ │ │ │          "72686684e": 566,
│ │ │ │ │          "72717132": 2659,
│ │ │ │ │ -        "7271973": 2461,
│ │ │ │ │          "72727273": 136,
│ │ │ │ │          "72847407": 1154,
│ │ │ │ │          "729": 2666,
│ │ │ │ │          "72904971": 1153,
│ │ │ │ │          "72949656": 2635,
│ │ │ │ │          "73": [2463, 2657],
│ │ │ │ │ +        "730": 2461,
│ │ │ │ │          "7320508075688772j": 59,
│ │ │ │ │          "73472348e": 1816,
│ │ │ │ │          "73496154e": 1867,
│ │ │ │ │          "73603959e": 2666,
│ │ │ │ │ -        "73784974": 2461,
│ │ │ │ │          "73799541": 1153,
│ │ │ │ │          "74": [2463, 2513, 2514, 2657],
│ │ │ │ │          "74000000": 2635,
│ │ │ │ │          "7416573867739413": 653,
│ │ │ │ │          "74165739": 653,
│ │ │ │ │          "74499359e": [420, 947],
│ │ │ │ │          "745966692414834": [648, 653],
│ │ │ │ │ @@ -35456,14 +35455,15 @@
│ │ │ │ │          "75137473": 349,
│ │ │ │ │          "7515": [2353, 2400, 2450],
│ │ │ │ │          "75224494": [2345, 2391, 2439],
│ │ │ │ │          "7530": 2526,
│ │ │ │ │          "7535": 2526,
│ │ │ │ │          "75351311": 2666,
│ │ │ │ │          "754": [62, 65, 69, 76, 457, 552, 555, 556, 558, 559, 1335, 1340, 1343, 2083, 2094, 2610, 2655],
│ │ │ │ │ +        "75450799": 2461,
│ │ │ │ │          "7551": 2526,
│ │ │ │ │          "7558": 2526,
│ │ │ │ │          "756802": 2642,
│ │ │ │ │          "7568025": 2666,
│ │ │ │ │          "75682846": 2659,
│ │ │ │ │          "7578": 2526,
│ │ │ │ │          "7590": 2526,
│ │ │ │ │ @@ -35504,15 +35504,15 @@
│ │ │ │ │          "77555756e": 1877,
│ │ │ │ │          "77598074": 349,
│ │ │ │ │          "77714685": 349,
│ │ │ │ │          "7774613834041182": 2315,
│ │ │ │ │          "7776": [99, 906],
│ │ │ │ │          "7778": 2527,
│ │ │ │ │          "7793": 2527,
│ │ │ │ │ -        "78": [2091, 2644, 2657],
│ │ │ │ │ +        "78": [2091, 2461, 2644, 2657],
│ │ │ │ │          "78096262": [2352, 2399, 2449],
│ │ │ │ │          "7816": 2527,
│ │ │ │ │          "7821": 2527,
│ │ │ │ │          "7824": 2527,
│ │ │ │ │          "7835": 2527,
│ │ │ │ │          "784": 2463,
│ │ │ │ │          "7847": 2527,
│ │ │ │ │ @@ -35620,18 +35620,19 @@
│ │ │ │ │          "86": [59, 88, 101, 103, 106, 126, 131, 542, 968, 969, 2323, 2367, 2414, 2491, 2657],
│ │ │ │ │          "8601": [55, 62, 67, 2613],
│ │ │ │ │          "86260211e": 54,
│ │ │ │ │          "8630830": 13,
│ │ │ │ │          "86399": 55,
│ │ │ │ │          "86400": 55,
│ │ │ │ │          "86401": 55,
│ │ │ │ │ +        "86483556": 2461,
│ │ │ │ │          "8660254": 2103,
│ │ │ │ │          "86820401": [2345, 2391, 2439],
│ │ │ │ │          "86864911e": 1586,
│ │ │ │ │ -        "87": [2461, 2616, 2657],
│ │ │ │ │ +        "87": [2616, 2657],
│ │ │ │ │          "875": [478, 2491],
│ │ │ │ │          "8755": [186, 827, 999, 1172, 1259, 1414, 1933],
│ │ │ │ │          "87649168120691": 674,
│ │ │ │ │          "8770": [2353, 2400, 2450],
│ │ │ │ │          "88": [408, 2462, 2463, 2657, 2659, 2668],
│ │ │ │ │          "8801": [99, 906],
│ │ │ │ │          "88031624": 2666,
│ │ │ │ │ @@ -35662,21 +35663,22 @@
│ │ │ │ │          "8e": [533, 669],
│ │ │ │ │          "8f": [386, 406],
│ │ │ │ │          "8j": [2101, 2241],
│ │ │ │ │          "9": [10, 12, 26, 30, 31, 32, 38, 42, 47, 54, 55, 57, 58, 59, 60, 79, 89, 91, 96, 97, 98, 114, 117, 118, 119, 132, 141, 147, 149, 150, 158, 171, 175, 202, 227, 261, 270, 287, 299, 305, 312, 320, 321, 322, 337, 348, 355, 357, 359, 364, 365, 366, 367, 369, 372, 375, 409, 420, 435, 441, 442, 447, 460, 478, 483, 514, 520, 529, 530, 543, 548, 565, 566, 573, 577, 608, 640, 641, 642, 644, 646, 648, 653, 655, 656, 659, 660, 661, 664, 666, 669, 680, 823, 830, 838, 839, 853, 860, 863, 864, 865, 880, 881, 886, 887, 888, 893, 896, 903, 904, 905, 908, 912, 913, 914, 919, 920, 921, 924, 926, 927, 936, 939, 947, 950, 952, 953, 957, 963, 993, 1002, 1010, 1013, 1033, 1044, 1048, 1049, 1050, 1060, 1069, 1070, 1076, 1077, 1078, 1083, 1104, 1106, 1107, 1108, 1113, 1116, 1119, 1135, 1142, 1143, 1145, 1148, 1149, 1157, 1159, 1160, 1161, 1164, 1166, 1167, 1184, 1193, 1194, 1195, 1200, 1204, 1205, 1206, 1212, 1213, 1223, 1228, 1229, 1236, 1240, 1241, 1246, 1247, 1249, 1271, 1283, 1306, 1312, 1324, 1334, 1335, 1342, 1348, 1426, 1437, 1460, 1466, 1478, 1483, 1510, 1512, 1521, 1527, 1540, 1543, 1545, 1586, 1644, 1650, 1656, 1707, 1752, 1762, 1808, 1816, 1870, 1876, 1882, 1884, 1885, 1886, 1903, 1904, 1907, 1908, 1912, 1913, 1914, 1916, 1945, 1957, 1980, 1986, 1998, 2079, 2085, 2087, 2091, 2104, 2107, 2110, 2111, 2115, 2116, 2118, 2128, 2134, 2140, 2148, 2149, 2150, 2161, 2168, 2171, 2204, 2205, 2206, 2208, 2209, 2210, 2211, 2223, 2224, 2225, 2236, 2237, 2238, 2239, 2240, 2246, 2248, 2257, 2303, 2316, 2319, 2327, 2328, 2332, 2334, 2341, 2342, 2347, 2361, 2363, 2376, 2384, 2388, 2395, 2408, 2410, 2423, 2431, 2435, 2445, 2457, 2461, 2463, 2488, 2489, 2491, 2508, 2513, 2519, 2520, 2521, 2522, 2525, 2566, 2567, 2568, 2569, 2570, 2571, 2572, 2576, 2577, 2578, 2580, 2583, 2586, 2587, 2590, 2592, 2599, 2600, 2601, 2602, 2603, 2604, 2605, 2606, 2616, 2622, 2623, 2624, 2625, 2630, 2632, 2633, 2635, 2638, 2639, 2641, 2644, 2645, 2647, 2648, 2649, 2657, 2658, 2665, 2666, 2668],
│ │ │ │ │          "90": [25, 29, 33, 37, 39, 55, 68, 78, 363, 1910, 2082, 2103, 2248, 2463, 2610, 2654, 2657],
│ │ │ │ │          "90384387e": 2104,
│ │ │ │ │          "90476190e": 1816,
│ │ │ │ │ +        "9081517": 2461,
│ │ │ │ │          "90909091": 136,
│ │ │ │ │          "909297": 2642,
│ │ │ │ │          "90929743": 2666,
│ │ │ │ │ -        "91": 2657,
│ │ │ │ │ +        "91": [2461, 2657],
│ │ │ │ │          "91275558": 2635,
│ │ │ │ │          "916666666666666": 1240,
│ │ │ │ │ -        "92": [98, 2461, 2657, 2659],
│ │ │ │ │ +        "92": [98, 2657, 2659],
│ │ │ │ │          "921fb54442d18p": 2520,
│ │ │ │ │          "9223372036854775807": 2648,
│ │ │ │ │          "9223372036854775808": 2648,
│ │ │ │ │          "92346708": 349,
│ │ │ │ │          "92362781e": 2104,
│ │ │ │ │          "92387953": 642,
│ │ │ │ │          "92387953j": 642,
│ │ │ │ │ @@ -35727,14 +35729,15 @@
│ │ │ │ │          "9558": [2533, 2534],
│ │ │ │ │          "9559": [2533, 2534],
│ │ │ │ │          "9580": [2533, 2534],
│ │ │ │ │          "95892427": 2666,
│ │ │ │ │          "96": [69, 1577, 1867, 2303, 2463, 2566, 2648, 2657, 2659, 2668],
│ │ │ │ │          "96139749": 2666,
│ │ │ │ │          "96202397": [2335, 2378, 2425],
│ │ │ │ │ +        "96224266": 2461,
│ │ │ │ │          "96360618": [2387, 2434],
│ │ │ │ │          "9665554": 349,
│ │ │ │ │          "96767474e": 54,
│ │ │ │ │          "96875": 2491,
│ │ │ │ │          "96979195": 2635,
│ │ │ │ │          "969792": 2635,
│ │ │ │ │          "96e7": 42,
│ │ │ │ │ @@ -35757,15 +35760,14 @@
│ │ │ │ │          "9764": [2533, 2534],
│ │ │ │ │          "9765": [2533, 2534],
│ │ │ │ │          "9766": [2533, 2534],
│ │ │ │ │          "9767": [2533, 2534],
│ │ │ │ │          "9771": [2533, 2534],
│ │ │ │ │          "97719": 1644,
│ │ │ │ │          "9772": 2534,
│ │ │ │ │ -        "97755325": 2488,
│ │ │ │ │          "9794": 2534,
│ │ │ │ │          "9797": 2666,
│ │ │ │ │          "97974649": 524,
│ │ │ │ │          "9798": 2666,
│ │ │ │ │          "9799": 2666,
│ │ │ │ │          "98": [481, 647, 1157, 2635, 2657, 2666],
│ │ │ │ │          "9800": 2666,