--- /srv/reproducible-results/rbuild-debian/r-b-build.WRA8iwP4/b1/numpy_2.2.4+ds-1_arm64.changes
+++ /srv/reproducible-results/rbuild-debian/r-b-build.WRA8iwP4/b2/numpy_2.2.4+ds-1_arm64.changes
├── Files
│ @@ -1,5 +1,5 @@
│  
│ - 4d67ba741c74c3da256c4171f663287f 5814136 doc optional python-numpy-doc_2.2.4+ds-1_all.deb
│ + 91f90c3e4c74ae47e65c93c4714987a3 5814016 doc optional python-numpy-doc_2.2.4+ds-1_all.deb
│   bcf02a7b158e3fd72ac0ca631097dbbe 14380220 debug optional python3-numpy-dbgsym_2.2.4+ds-1_arm64.deb
│   3a5b3ecec4a4b617987f388521dd977f 136096 python optional python3-numpy-dev_2.2.4+ds-1_arm64.deb
│   c5979eb908a4d2251ef0d8267822664e 3604888 python optional python3-numpy_2.2.4+ds-1_arm64.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    64868 2025-04-01 19:45:23.000000 control.tar.xz
│ │ --rw-r--r--   0        0        0  5749076 2025-04-01 19:45:23.000000 data.tar.xz
│ │ +-rw-r--r--   0        0        0    64872 2025-04-01 19:45:23.000000 control.tar.xz
│ │ +-rw-r--r--   0        0        0  5748952 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)    44355 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)  2687916 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/searchindex.js
│ │ │ │ +-rw-r--r--   0 root         (0) root         (0)  2687921 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">1.03 ms +- 56.9 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ -<span class="go">2.51 ms +- 23.1 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">1.03 ms +- 65.8 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">2.52 ms +- 38.9 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">1.02 ms +- 28.1 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ -<span class="go">1.77 ms +- 13.9 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">980 us +- 11.9 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">1.76 ms +- 12.8 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 [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">2.46 ms +- 25.3 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ -<span class="go">4.48 ms +- 17.2 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">2.49 ms +- 22.4 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">4.47 ms +- 15.5 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([0.98180209, 0.81425915, 0.17006705])</span>
│ │ │ │ +<span class="gh">Out[7]: </span><span class="go">array([0.66860127, 0.02797909, 0.29098487])</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([0.6130314 , 0.27063346, 0.4075511 ], dtype=float32)</span>
│ │ │ │ +<span class="gh">Out[8]: </span><span class="go">array([0.7061747 , 0.13191795, 0.6566726 ], 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([95, 67, 54], dtype=uint8)</span>
│ │ │ │ +<span class="gh">Out[9]: </span><span class="go">array([166,  24, 143], 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([0.27613164, 0.97058246])</span>
│ │ │ │ +<span class="gh">Out[12]: </span><span class="go">array([0.79146522, 0.52044738])</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">[0.27613164 0.97058246 0.         0.        ]</span>
│ │ │ │ +<span class="go">[0.79146522 0.52044738 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([[ 1,  0,  1,  0,  3],</span>
│ │ │ │ -<span class="go">       [ 5,  4,  5,  4,  7],</span>
│ │ │ │ -<span class="go">       [ 9,  8,  9,  8, 11]])</span>
│ │ │ │ +<span class="go">array([[ 0,  3,  1,  2,  2],</span>
│ │ │ │ +<span class="go">       [ 4,  7,  5,  6,  6],</span>
│ │ │ │ +<span class="go">       [ 8, 11,  9, 10, 10]])</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([[ 0,  2,  3,  1],</span>
│ │ │ │ -<span class="go">       [ 4,  6,  7,  5],</span>
│ │ │ │ -<span class="go">       [ 8, 10, 11,  9]])</span>
│ │ │ │ +<span class="go">array([[ 1,  2,  3,  0],</span>
│ │ │ │ +<span class="go">       [ 5,  6,  7,  4],</span>
│ │ │ │ +<span class="go">       [ 9, 10, 11,  8]])</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)
│ │ │ │ │     ...:
│ │ │ │ │ -1.03 ms +- 56.9 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ -2.51 ms +- 23.1 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +1.03 ms +- 65.8 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +2.52 ms +- 38.9 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)
│ │ │ │ │     ...:
│ │ │ │ │ -1.02 ms +- 28.1 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ -1.77 ms +- 13.9 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +980 us +- 11.9 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +1.76 ms +- 12.8 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)
│ │ │ │ │     ...:
│ │ │ │ │ -2.46 ms +- 25.3 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ -4.48 ms +- 17.2 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +2.49 ms +- 22.4 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +4.47 ms +- 15.5 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([0.98180209, 0.81425915, 0.17006705])
│ │ │ │ │ +Out[7]: array([0.66860127, 0.02797909, 0.29098487])
│ │ │ │ │  
│ │ │ │ │  In [8]: rng.random(3, dtype=np.float32)
│ │ │ │ │ -Out[8]: array([0.6130314 , 0.27063346, 0.4075511 ], dtype=float32)
│ │ │ │ │ +Out[8]: array([0.7061747 , 0.13191795, 0.6566726 ], dtype=float32)
│ │ │ │ │  
│ │ │ │ │  In [9]: rng.integers(0, 256, size=3, dtype=np.uint8)
│ │ │ │ │ -Out[9]: array([95, 67, 54], dtype=uint8)
│ │ │ │ │ +Out[9]: array([166,  24, 143], 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([0.27613164, 0.97058246])
│ │ │ │ │ +Out[12]: array([0.79146522, 0.52044738])
│ │ │ │ │  
│ │ │ │ │  In [13]: print(existing)
│ │ │ │ │ -[0.27613164 0.97058246 0.         0.        ]
│ │ │ │ │ +[0.79146522 0.52044738 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([[ 1,  0,  1,  0,  3],
│ │ │ │ │ -       [ 5,  4,  5,  4,  7],
│ │ │ │ │ -       [ 9,  8,  9,  8, 11]])
│ │ │ │ │ +array([[ 0,  3,  1,  2,  2],
│ │ │ │ │ +       [ 4,  7,  5,  6,  6],
│ │ │ │ │ +       [ 8, 11,  9, 10, 10]])
│ │ │ │ │  
│ │ │ │ │  In [18]: rng.shuffle(a, axis=1)        # Shuffle in-place
│ │ │ │ │  
│ │ │ │ │  In [19]: a
│ │ │ │ │  Out[19]:
│ │ │ │ │ -array([[ 0,  2,  3,  1],
│ │ │ │ │ -       [ 4,  6,  7,  5],
│ │ │ │ │ -       [ 8, 10, 11,  9]])
│ │ │ │ │ +array([[ 1,  2,  3,  0],
│ │ │ │ │ +       [ 5,  6,  7,  4],
│ │ │ │ │ +       [ 9, 10, 11,  8]])
│ │ │ │ │      * 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([0.81868064, 0.42563875])</span>
│ │ │ │ +<span class="gh">Out[4]: </span><span class="go">array([1.03261073, 0.34294784])</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([4.10970163, 3.68406288], domain=[0., 9.], window=[-1.,  1.], symbol=&#39;x&#39;)</span>
│ │ │ │ +<span class="gh">Out[6]: </span><span class="go">Polynomial([4.98969613, 4.64674829], 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([0.42563875, 0.81868064], domain=[-1.,  1.], window=[-1.,  1.], symbol=&#39;x&#39;)</span>
│ │ │ │ +<span class="gh">Out[7]: </span><span class="go">Polynomial([0.34294784, 1.03261073], 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([0.81868064, 0.42563875])
│ │ │ │ │ +Out[4]: array([1.03261073, 0.34294784])
│ │ │ │ │  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([4.10970163, 3.68406288], domain=[0., 9.], window=[-1.,
│ │ │ │ │ +Out[6]: Polynomial([4.98969613, 4.64674829], 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([0.42563875, 0.81868064], domain=[-1.,  1.], window=[-1.,
│ │ │ │ │ +Out[7]: Polynomial([0.34294784, 1.03261073], 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 {}
│ │ │ │ │ @@ -32355,29 +32355,31 @@
│ │ │ │ │          "016j": 2105,
│ │ │ │ │          "01831564": 1660,
│ │ │ │ │          "018318": [2353, 2400, 2450],
│ │ │ │ │          "01j": 514,
│ │ │ │ │          "01t00": [55, 62, 361, 2525],
│ │ │ │ │          "01t08": 2525,
│ │ │ │ │          "01t12": 55,
│ │ │ │ │ -        "02": [54, 55, 147, 162, 163, 410, 547, 566, 669, 1335, 1586, 1601, 1658, 1715, 1772, 1816, 1829, 1885, 2104, 2461],
│ │ │ │ │ +        "02": [54, 55, 147, 162, 163, 410, 547, 566, 669, 1335, 1586, 1601, 1658, 1715, 1772, 1816, 1829, 1885, 2104],
│ │ │ │ │          "020995": 57,
│ │ │ │ │          "02284196": 1697,
│ │ │ │ │          "02294967": 1640,
│ │ │ │ │          "023": 2644,
│ │ │ │ │          "02332573e": 54,
│ │ │ │ │          "0253": 2652,
│ │ │ │ │          "02654825": 1891,
│ │ │ │ │          "02658058e": 2666,
│ │ │ │ │          "02755911": 2666,
│ │ │ │ │          "027559113243068367": 2666,
│ │ │ │ │          "02785049": 1867,
│ │ │ │ │ +        "02797909": 2461,
│ │ │ │ │          "02i": [513, 2644],
│ │ │ │ │          "03": [55, 67, 163, 566, 669, 1335, 1586, 1816, 2461, 2658],
│ │ │ │ │          "03125": [1585, 2491],
│ │ │ │ │ +        "03261073": 2488,
│ │ │ │ │          "0326911": [2335, 2378, 2425],
│ │ │ │ │          "0361": 2607,
│ │ │ │ │          "03703704": 1809,
│ │ │ │ │          "03943254e": 2104,
│ │ │ │ │          "03968254": [1113, 1543],
│ │ │ │ │          "0396842": 680,
│ │ │ │ │          "03t13": 55,
│ │ │ │ │ @@ -32576,15 +32578,14 @@
│ │ │ │ │          "10941": 2328,
│ │ │ │ │          "10946": 28,
│ │ │ │ │          "10947": 2538,
│ │ │ │ │          "10959": 2538,
│ │ │ │ │          "10960": 2538,
│ │ │ │ │          "10961": 2538,
│ │ │ │ │          "10962": 2538,
│ │ │ │ │ -        "10970163": 2488,
│ │ │ │ │          "10974": 2538,
│ │ │ │ │          "10_qbz5n2kfra8p0": 42,
│ │ │ │ │          "10j": 2665,
│ │ │ │ │          "10n": 2336,
│ │ │ │ │          "10th": [87, 88, 100, 101, 102, 103, 104, 106, 125, 126, 129, 131, 533, 670, 671, 672],
│ │ │ │ │          "10x": [2594, 2602, 2616, 2622],
│ │ │ │ │          "10x100": 652,
│ │ │ │ │ @@ -32752,14 +32753,15 @@
│ │ │ │ │          "13028": 2549,
│ │ │ │ │          "13038": 2549,
│ │ │ │ │          "13041": 2549,
│ │ │ │ │          "13090": [186, 827, 999, 1172, 1259, 1414, 1933],
│ │ │ │ │          "131": [527, 2463],
│ │ │ │ │          "1312": 485,
│ │ │ │ │          "13182611e": [420, 947],
│ │ │ │ │ +        "13191795": 2461,
│ │ │ │ │          "132": [527, 2330, 2374, 2421, 2463, 2637],
│ │ │ │ │          "1324274851176597e": 1867,
│ │ │ │ │          "133": [527, 2330, 2374, 2421],
│ │ │ │ │          "13392": 2551,
│ │ │ │ │          "13394": 2551,
│ │ │ │ │          "13396": 2551,
│ │ │ │ │          "134": [542, 968, 969],
│ │ │ │ │ @@ -32863,15 +32865,15 @@
│ │ │ │ │          "14248": 2560,
│ │ │ │ │          "14255": 2560,
│ │ │ │ │          "14256": 2560,
│ │ │ │ │          "14259": 2560,
│ │ │ │ │          "14275": 2553,
│ │ │ │ │          "14296": 2555,
│ │ │ │ │          "14297": 2552,
│ │ │ │ │ -        "143": 2463,
│ │ │ │ │ +        "143": [2461, 2463],
│ │ │ │ │          "14301": 2555,
│ │ │ │ │          "14302": 2555,
│ │ │ │ │          "14307": 2555,
│ │ │ │ │          "14308": 2555,
│ │ │ │ │          "14309": 2555,
│ │ │ │ │          "14322": 2552,
│ │ │ │ │          "14325": 2560,
│ │ │ │ │ @@ -33119,15 +33121,15 @@
│ │ │ │ │          "16551": 2566,
│ │ │ │ │          "16554": 2572,
│ │ │ │ │          "16558": 2572,
│ │ │ │ │          "16570": 2572,
│ │ │ │ │          "16589": 2572,
│ │ │ │ │          "16592": 2572,
│ │ │ │ │          "16594": 2572,
│ │ │ │ │ -        "166": [675, 2463],
│ │ │ │ │ +        "166": [675, 2461, 2463],
│ │ │ │ │          "16649": 2567,
│ │ │ │ │          "16650": 2572,
│ │ │ │ │          "16652": 2567,
│ │ │ │ │          "16654": 2567,
│ │ │ │ │          "16656": 2567,
│ │ │ │ │          "166659832": [850, 1030],
│ │ │ │ │          "16666667": [1526, 1544, 1759, 1871],
│ │ │ │ │ @@ -33172,15 +33174,14 @@
│ │ │ │ │          "16998": 2568,
│ │ │ │ │          "16bit": 2517,
│ │ │ │ │          "16j": [438, 514, 642, 2167],
│ │ │ │ │          "16x": 2622,
│ │ │ │ │          "17": [2, 12, 47, 54, 55, 56, 58, 61, 98, 140, 146, 147, 159, 164, 270, 351, 423, 438, 439, 453, 514, 547, 562, 642, 645, 669, 880, 1069, 1114, 1229, 1312, 1466, 1512, 1541, 1545, 1586, 1594, 1651, 1695, 1867, 1877, 1880, 1986, 2085, 2104, 2204, 2222, 2237, 2303, 2333, 2342, 2377, 2424, 2458, 2461, 2463, 2464, 2491, 2513, 2519, 2542, 2547, 2553, 2560, 2566, 2572, 2576, 2577, 2583, 2596, 2597, 2599, 2613, 2625, 2633, 2635, 2641, 2645, 2648, 2657, 2666],
│ │ │ │ │          "170": 544,
│ │ │ │ │          "17000": 2568,
│ │ │ │ │ -        "17006705": 2461,
│ │ │ │ │          "17010": 2572,
│ │ │ │ │          "17015": 2568,
│ │ │ │ │          "17022005e": 54,
│ │ │ │ │          "17029": 2572,
│ │ │ │ │          "17067": 2572,
│ │ │ │ │          "17068": 2572,
│ │ │ │ │          "171": 2463,
│ │ │ │ │ @@ -33749,15 +33750,15 @@
│ │ │ │ │          "219": 2463,
│ │ │ │ │          "21925": 2594,
│ │ │ │ │          "21949": 2589,
│ │ │ │ │          "21951": 2589,
│ │ │ │ │          "21952": 2589,
│ │ │ │ │          "21976": 2594,
│ │ │ │ │          "21995": 2594,
│ │ │ │ │ -        "22": [21, 22, 29, 30, 40, 47, 52, 54, 55, 58, 59, 98, 107, 108, 109, 163, 270, 336, 378, 425, 485, 628, 658, 669, 880, 905, 1045, 1069, 1113, 1211, 1229, 1294, 1312, 1336, 1337, 1340, 1341, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1358, 1448, 1466, 1514, 1521, 1522, 1543, 1591, 1905, 1908, 1913, 1968, 1986, 2091, 2208, 2236, 2237, 2342, 2513, 2517, 2519, 2534, 2588, 2635, 2637, 2641, 2657, 2666],
│ │ │ │ │ +        "22": [21, 22, 29, 30, 40, 47, 52, 54, 55, 58, 59, 98, 107, 108, 109, 163, 270, 336, 378, 425, 485, 628, 658, 669, 880, 905, 1045, 1069, 1113, 1211, 1229, 1294, 1312, 1336, 1337, 1340, 1341, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1358, 1448, 1466, 1514, 1521, 1522, 1543, 1591, 1905, 1908, 1913, 1968, 1986, 2091, 2208, 2236, 2237, 2342, 2461, 2513, 2517, 2519, 2534, 2588, 2635, 2637, 2641, 2657, 2666],
│ │ │ │ │          "220": [2238, 2576],
│ │ │ │ │          "22004": 2594,
│ │ │ │ │          "22014": 2594,
│ │ │ │ │          "22030": 2590,
│ │ │ │ │          "22031": 2590,
│ │ │ │ │          "22032": 2590,
│ │ │ │ │          "22033": 2590,
│ │ │ │ │ @@ -33897,15 +33898,15 @@
│ │ │ │ │          "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, 2461, 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, 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,
│ │ │ │ │ @@ -33992,15 +33993,15 @@
│ │ │ │ │          "23936": 2622,
│ │ │ │ │          "2394691": 2312,
│ │ │ │ │          "23968": 2600,
│ │ │ │ │          "23994": 2598,
│ │ │ │ │          "23998": 2622,
│ │ │ │ │          "23e": 477,
│ │ │ │ │          "23e24": 477,
│ │ │ │ │ -        "24": [10, 38, 47, 54, 55, 56, 58, 59, 62, 67, 98, 107, 108, 355, 356, 358, 408, 409, 477, 528, 531, 541, 542, 567, 638, 661, 662, 664, 838, 905, 939, 964, 968, 969, 1010, 1133, 1144, 1546, 1577, 1607, 1664, 1721, 1778, 1835, 1864, 1883, 1902, 2100, 2114, 2168, 2175, 2200, 2208, 2223, 2225, 2226, 2230, 2237, 2247, 2342, 2463, 2513, 2519, 2543, 2555, 2622, 2623, 2635, 2641, 2645, 2649, 2652, 2657, 2659, 2666, 2668],
│ │ │ │ │ +        "24": [10, 38, 47, 54, 55, 56, 58, 59, 62, 67, 98, 107, 108, 355, 356, 358, 408, 409, 477, 528, 531, 541, 542, 567, 638, 661, 662, 664, 838, 905, 939, 964, 968, 969, 1010, 1133, 1144, 1546, 1577, 1607, 1664, 1721, 1778, 1835, 1864, 1883, 1902, 2100, 2114, 2168, 2175, 2200, 2208, 2223, 2225, 2226, 2230, 2237, 2247, 2342, 2461, 2463, 2513, 2519, 2543, 2555, 2622, 2623, 2635, 2641, 2645, 2649, 2652, 2657, 2659, 2666, 2668],
│ │ │ │ │          "240": [57, 363],
│ │ │ │ │          "24011": 2622,
│ │ │ │ │          "24018": 2622,
│ │ │ │ │          "2403": 2615,
│ │ │ │ │          "24036": 2600,
│ │ │ │ │          "24037": 2600,
│ │ │ │ │          "24038": 2600,
│ │ │ │ │ @@ -34174,15 +34175,15 @@
│ │ │ │ │          "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,
│ │ │ │ │ @@ -34404,15 +34405,14 @@
│ │ │ │ │          "2700000": 2635,
│ │ │ │ │          "27000000": 2635,
│ │ │ │ │          "27001": 2624,
│ │ │ │ │          "27008": 2625,
│ │ │ │ │          "27021": 2624,
│ │ │ │ │          "27022": 2624,
│ │ │ │ │          "27061": 2624,
│ │ │ │ │ -        "27063346": 2461,
│ │ │ │ │          "27073": 2624,
│ │ │ │ │          "27074": 2624,
│ │ │ │ │          "27076": 2625,
│ │ │ │ │          "27077": 2624,
│ │ │ │ │          "27088": 2629,
│ │ │ │ │          "27091": 2625,
│ │ │ │ │          "27119": 2629,
│ │ │ │ │ @@ -34474,15 +34474,14 @@
│ │ │ │ │          "27569": 2628,
│ │ │ │ │          "27570": 2628,
│ │ │ │ │          "27571": 2628,
│ │ │ │ │          "27574": 2628,
│ │ │ │ │          "27592": 2628,
│ │ │ │ │          "27593": 2628,
│ │ │ │ │          "276": 59,
│ │ │ │ │ -        "27613164": 2461,
│ │ │ │ │          "27616": 2628,
│ │ │ │ │          "27636": [2628, 2629],
│ │ │ │ │          "27661": 2629,
│ │ │ │ │          "27668": 2628,
│ │ │ │ │          "27669": 2628,
│ │ │ │ │          "27672": 2628,
│ │ │ │ │          "27673": 2628,
│ │ │ │ │ @@ -34511,15 +34510,15 @@
│ │ │ │ │          "27t00": 360,
│ │ │ │ │          "27t01": 360,
│ │ │ │ │          "27t02": 360,
│ │ │ │ │          "27t04": 360,
│ │ │ │ │          "27t05": 360,
│ │ │ │ │          "27t06": 360,
│ │ │ │ │          "27t07": 360,
│ │ │ │ │ -        "28": [36, 54, 55, 146, 409, 661, 1695, 1704, 1707, 1862, 2168, 2208, 2225, 2461, 2463, 2513, 2538, 2539, 2540, 2543, 2629, 2641, 2649, 2657, 2659, 2666],
│ │ │ │ │ +        "28": [36, 54, 55, 146, 409, 661, 1695, 1704, 1707, 1862, 2168, 2208, 2225, 2463, 2513, 2538, 2539, 2540, 2543, 2629, 2641, 2649, 2657, 2659, 2666],
│ │ │ │ │          "28000000e": 1335,
│ │ │ │ │          "2800000e": 1335,
│ │ │ │ │          "28006": 2630,
│ │ │ │ │          "28007": 2630,
│ │ │ │ │          "2801": 2613,
│ │ │ │ │          "28021": 2630,
│ │ │ │ │          "28044": 2630,
│ │ │ │ │ @@ -34603,14 +34602,15 @@
│ │ │ │ │          "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],
│ │ │ │ │          "290": 2300,
│ │ │ │ │          "29001ed": 13,
│ │ │ │ │          "290301": 55,
│ │ │ │ │ +        "29098487": 2461,
│ │ │ │ │          "292": 55,
│ │ │ │ │          "29229249": 524,
│ │ │ │ │          "29239766": 54,
│ │ │ │ │          "2925464970228": 657,
│ │ │ │ │          "294241": 55,
│ │ │ │ │          "296": 669,
│ │ │ │ │          "2969": 2614,
│ │ │ │ │ @@ -34741,14 +34741,15 @@
│ │ │ │ │          "3364": 2615,
│ │ │ │ │          "3373": 2615,
│ │ │ │ │          "33872321e": 2104,
│ │ │ │ │          "34": [12, 28, 144, 441, 1880, 1919, 2208, 2463, 2491, 2566, 2583, 2641, 2657, 2666],
│ │ │ │ │          "340": [2238, 2576],
│ │ │ │ │          "34132519": [680, 2659],
│ │ │ │ │          "3421": 2615,
│ │ │ │ │ +        "34294784": 2488,
│ │ │ │ │          "343": 2666,
│ │ │ │ │          "34317802": 1153,
│ │ │ │ │          "34376245": 2635,
│ │ │ │ │          "3456": 13,
│ │ │ │ │          "3458": 2615,
│ │ │ │ │          "3471280": 1923,
│ │ │ │ │          "3472": 2615,
│ │ │ │ │ @@ -34791,15 +34792,15 @@
│ │ │ │ │          "3743": 2615,
│ │ │ │ │          "375": [1634, 1663],
│ │ │ │ │          "37601032": [2387, 2434],
│ │ │ │ │          "377": 28,
│ │ │ │ │          "378": 652,
│ │ │ │ │          "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],
│ │ │ │ │ +        "38": [59, 542, 968, 969, 1545, 1752, 1761, 2107, 2204, 2208, 2313, 2333, 2361, 2377, 2408, 2424, 2461, 2510, 2572, 2657, 2666],
│ │ │ │ │          "380": [2238, 2576],
│ │ │ │ │          "38268343": 642,
│ │ │ │ │          "38268343j": 642,
│ │ │ │ │          "3832": 2615,
│ │ │ │ │          "38434191e": 660,
│ │ │ │ │          "38446749": 1867,
│ │ │ │ │          "385": [2270, 2300],
│ │ │ │ │ @@ -34849,15 +34850,14 @@
│ │ │ │ │          "40077": [1644, 1656],
│ │ │ │ │          "400e": 2658,
│ │ │ │ │          "4018": [2615, 2617],
│ │ │ │ │          "4024": 2617,
│ │ │ │ │          "4027": 2617,
│ │ │ │ │          "40274501": 1154,
│ │ │ │ │          "4051": [2615, 2617],
│ │ │ │ │ -        "4075511": 2461,
│ │ │ │ │          "409": 2463,
│ │ │ │ │          "40918587e": 2104,
│ │ │ │ │          "40919914": 2666,
│ │ │ │ │          "4093": 2617,
│ │ │ │ │          "4094": [2615, 2617],
│ │ │ │ │          "4096": [72, 2092],
│ │ │ │ │          "41": [941, 1114, 1123, 1124, 1131, 1913, 2104, 2107, 2208, 2236, 2585, 2657, 2666],
│ │ │ │ │ @@ -34894,15 +34894,14 @@
│ │ │ │ │          "423": 55,
│ │ │ │ │          "42310646": 1153,
│ │ │ │ │          "42332645": 2666,
│ │ │ │ │          "42457905e": 1586,
│ │ │ │ │          "425": [523, 524],
│ │ │ │ │          "4253": 2617,
│ │ │ │ │          "4254": 2617,
│ │ │ │ │ -        "42563875": 2488,
│ │ │ │ │          "4261": 2617,
│ │ │ │ │          "4262": 2617,
│ │ │ │ │          "4266": 2617,
│ │ │ │ │          "42667924": 1154,
│ │ │ │ │          "4267": 2617,
│ │ │ │ │          "4270": 2617,
│ │ │ │ │          "4276": 2617,
│ │ │ │ │ @@ -34954,15 +34953,15 @@
│ │ │ │ │          "4532": [409, 661, 2168],
│ │ │ │ │          "4545724517479104": 2460,
│ │ │ │ │          "45560727e": 54,
│ │ │ │ │          "456": 1921,
│ │ │ │ │          "4567": 2644,
│ │ │ │ │          "45674898e": 566,
│ │ │ │ │          "45a3d84": 2521,
│ │ │ │ │ -        "46": [409, 523, 905, 1707, 2204, 2208, 2461, 2641, 2657],
│ │ │ │ │ +        "46": [409, 523, 905, 1707, 2204, 2208, 2641, 2657],
│ │ │ │ │          "460": [2238, 2576],
│ │ │ │ │          "46009194e": 566,
│ │ │ │ │          "4602": 2618,
│ │ │ │ │          "4610935": 457,
│ │ │ │ │          "4613": 2618,
│ │ │ │ │          "4628": 2618,
│ │ │ │ │          "46351241j": 2081,
│ │ │ │ │ @@ -34975,15 +34974,15 @@
│ │ │ │ │          "46666491": 349,
│ │ │ │ │          "46716228e": 1586,
│ │ │ │ │          "46755891e": 54,
│ │ │ │ │          "468": [136, 147],
│ │ │ │ │          "4685006": [2352, 2399, 2449],
│ │ │ │ │          "4686": 12,
│ │ │ │ │          "46957616e": [470, 1899, 1900],
│ │ │ │ │ -        "47": [52, 2208, 2323, 2367, 2414, 2657, 2666],
│ │ │ │ │ +        "47": [52, 2208, 2323, 2367, 2414, 2461, 2657, 2666],
│ │ │ │ │          "4702687338396767": 2348,
│ │ │ │ │          "471": [136, 147, 2463],
│ │ │ │ │          "47108547995356098": [2345, 2391, 2439],
│ │ │ │ │          "47140452j": 2491,
│ │ │ │ │          "472": 55,
│ │ │ │ │          "4722": 2618,
│ │ │ │ │          "4723": 2621,
│ │ │ │ │ @@ -34991,29 +34990,29 @@
│ │ │ │ │          "4733": 2618,
│ │ │ │ │          "47458546": 349,
│ │ │ │ │          "47536961": 349,
│ │ │ │ │          "47613949": [2335, 2378, 2425],
│ │ │ │ │          "4774": 2618,
│ │ │ │ │          "479": 2620,
│ │ │ │ │          "4796": [409, 661, 2168],
│ │ │ │ │ -        "48": [58, 270, 355, 880, 1069, 1142, 1229, 1312, 1466, 1867, 1986, 2208, 2239, 2323, 2367, 2414, 2461, 2657, 2659],
│ │ │ │ │ +        "48": [58, 270, 355, 880, 1069, 1142, 1229, 1312, 1466, 1867, 1986, 2208, 2239, 2323, 2367, 2414, 2657, 2659],
│ │ │ │ │          "480": [238, 858, 1041, 1207, 1290, 1444, 1964],
│ │ │ │ │          "4800": 57,
│ │ │ │ │          "48000000": 2635,
│ │ │ │ │          "4809319": 1153,
│ │ │ │ │          "4816": [99, 906],
│ │ │ │ │          "48219694e": [421, 948],
│ │ │ │ │          "4836": 2618,
│ │ │ │ │          "484": [2517, 2583, 2625],
│ │ │ │ │          "4853": 2618,
│ │ │ │ │          "4861946401452": 2334,
│ │ │ │ │          "4874": [409, 661, 2168],
│ │ │ │ │          "4882": [287, 1241, 1324, 1478, 1998],
│ │ │ │ │          "4896": 2620,
│ │ │ │ │ -        "49": [71, 2208, 2323, 2367, 2414, 2567, 2568, 2641, 2657, 2666],
│ │ │ │ │ +        "49": [71, 2208, 2323, 2367, 2414, 2461, 2567, 2568, 2641, 2657, 2666],
│ │ │ │ │          "4928": [409, 661, 2168],
│ │ │ │ │          "49293": 1644,
│ │ │ │ │          "49313049": [2387, 2434],
│ │ │ │ │          "49401501": [2339, 2352, 2382, 2389, 2399, 2429, 2436, 2449],
│ │ │ │ │          "496041986": [420, 947],
│ │ │ │ │          "49778714": 2238,
│ │ │ │ │          "49876311": [2352, 2399, 2449],
│ │ │ │ │ @@ -35052,15 +35051,15 @@
│ │ │ │ │          "50491123200": 55,
│ │ │ │ │          "50491123200000000": 55,
│ │ │ │ │          "50629471": 1154,
│ │ │ │ │          "5063": 2620,
│ │ │ │ │          "5067": 2620,
│ │ │ │ │          "5082": 2620,
│ │ │ │ │          "5095": 2620,
│ │ │ │ │ -        "51": [58, 520, 1654, 1752, 1761, 1867, 1870, 2083, 2204, 2331, 2339, 2356, 2375, 2382, 2403, 2422, 2429, 2453, 2461, 2622, 2657, 2666],
│ │ │ │ │ +        "51": [58, 520, 1654, 1752, 1761, 1867, 1870, 2083, 2204, 2331, 2339, 2356, 2375, 2382, 2403, 2422, 2429, 2453, 2622, 2657, 2666],
│ │ │ │ │          "510": [143, 570],
│ │ │ │ │          "5100": 2620,
│ │ │ │ │          "5104": 2620,
│ │ │ │ │          "51182162": 2666,
│ │ │ │ │          "512": [69, 893, 1083, 1143, 1247, 2115, 2240, 2542, 2547, 2666],
│ │ │ │ │          "51327412": 1891,
│ │ │ │ │          "5136": 2620,
│ │ │ │ │ @@ -35076,16 +35075,17 @@
│ │ │ │ │          "51658839e": 1586,
│ │ │ │ │          "517": 10,
│ │ │ │ │          "5170": 2620,
│ │ │ │ │          "5184": 2620,
│ │ │ │ │          "51851852": 1809,
│ │ │ │ │          "519928": 2635,
│ │ │ │ │          "51992837": 2635,
│ │ │ │ │ -        "52": [10, 50, 62, 457, 1638, 1647, 1650, 2204, 2208, 2554, 2635, 2641, 2648, 2657, 2659, 2660, 2666],
│ │ │ │ │ +        "52": [10, 50, 62, 457, 1638, 1647, 1650, 2204, 2208, 2461, 2554, 2635, 2641, 2648, 2657, 2659, 2660, 2666],
│ │ │ │ │          "5203": 2620,
│ │ │ │ │ +        "52044738": 2461,
│ │ │ │ │          "5225": 2620,
│ │ │ │ │          "5231": 2620,
│ │ │ │ │          "52338984": [2345, 2391, 2439],
│ │ │ │ │          "52359878": 1911,
│ │ │ │ │          "52380952e": 1816,
│ │ │ │ │          "5240": 2620,
│ │ │ │ │          "5251": 2620,
│ │ │ │ │ @@ -35104,15 +35104,15 @@
│ │ │ │ │          "536870910": 1902,
│ │ │ │ │          "5374": 2621,
│ │ │ │ │          "53814331": 2666,
│ │ │ │ │          "5388": 2621,
│ │ │ │ │          "5390": 2621,
│ │ │ │ │          "5393": 2621,
│ │ │ │ │          "5396": [287, 1241, 1324, 1478, 1998],
│ │ │ │ │ -        "54": [38, 59, 523, 1638, 1711, 1764, 2208, 2461, 2642, 2657],
│ │ │ │ │ +        "54": [38, 59, 523, 1638, 1711, 1764, 2208, 2642, 2657],
│ │ │ │ │          "540": [2238, 2576],
│ │ │ │ │          "54030231": 2666,
│ │ │ │ │          "54030231j": 2666,
│ │ │ │ │          "541": 2463,
│ │ │ │ │          "54117": 1644,
│ │ │ │ │          "5424": 2621,
│ │ │ │ │          "54323428": [2345, 2391, 2439],
│ │ │ │ │ @@ -35136,15 +35136,15 @@
│ │ │ │ │          "55458479": 349,
│ │ │ │ │          "55490914e": 2666,
│ │ │ │ │          "5555555555555554": 1349,
│ │ │ │ │          "55627469": 349,
│ │ │ │ │          "55645993": 2635,
│ │ │ │ │          "5580": 2535,
│ │ │ │ │          "55914881e": 2104,
│ │ │ │ │ -        "56": [52, 55, 61, 544, 1764, 2204, 2461, 2463, 2657, 2659],
│ │ │ │ │ +        "56": [52, 55, 61, 544, 1764, 2204, 2463, 2657, 2659],
│ │ │ │ │          "5612": 2621,
│ │ │ │ │          "5614": 2522,
│ │ │ │ │          "562": [680, 2659],
│ │ │ │ │          "5620499351813308": 86,
│ │ │ │ │          "5625": 2491,
│ │ │ │ │          "56294995342131": 2083,
│ │ │ │ │          "5640": [2353, 2400, 2450],
│ │ │ │ │ @@ -35201,15 +35201,14 @@
│ │ │ │ │          "60860684e": 1594,
│ │ │ │ │          "609": 2583,
│ │ │ │ │          "6094": 2522,
│ │ │ │ │          "60x": 2599,
│ │ │ │ │          "61": [13, 2657],
│ │ │ │ │          "610": 28,
│ │ │ │ │          "61119": 2098,
│ │ │ │ │ -        "6130314": 2461,
│ │ │ │ │          "614064523559687": 2115,
│ │ │ │ │          "6143849206349179": [1113, 1543],
│ │ │ │ │          "6176": [99, 906],
│ │ │ │ │          "61799388": 1911,
│ │ │ │ │          "618": 669,
│ │ │ │ │          "6180": [2353, 2400, 2450],
│ │ │ │ │          "61988120985": [2323, 2367, 2414],
│ │ │ │ │ @@ -35240,14 +35239,15 @@
│ │ │ │ │          "64386512": 349,
│ │ │ │ │          "64402274e": 660,
│ │ │ │ │          "6446": [2550, 2554],
│ │ │ │ │          "646": [2517, 2576],
│ │ │ │ │          "6460": 2522,
│ │ │ │ │          "6462": 2522,
│ │ │ │ │          "6467": 2522,
│ │ │ │ │ +        "64674829": 2488,
│ │ │ │ │          "6468": 2522,
│ │ │ │ │          "6470": 2522,
│ │ │ │ │          "6472": 2522,
│ │ │ │ │          "6474": 2522,
│ │ │ │ │          "6475": 2522,
│ │ │ │ │          "6478": 2522,
│ │ │ │ │          "6481": 2522,
│ │ │ │ │ @@ -35255,15 +35255,15 @@
│ │ │ │ │          "6488": 2522,
│ │ │ │ │          "6491": 2522,
│ │ │ │ │          "6495": 2522,
│ │ │ │ │          "6497": 2522,
│ │ │ │ │          "6498": 2522,
│ │ │ │ │          "6499": 2522,
│ │ │ │ │          "64bit": [50, 61, 62, 2364, 2377, 2379, 2388, 2411, 2424, 2426, 2435, 2517, 2572, 2594],
│ │ │ │ │ -        "65": 2657,
│ │ │ │ │ +        "65": [2461, 2657],
│ │ │ │ │          "650": 2618,
│ │ │ │ │          "6500": 2522,
│ │ │ │ │          "6501": 2522,
│ │ │ │ │          "65028784": 2666,
│ │ │ │ │          "65143654": 1154,
│ │ │ │ │          "6515": [2353, 2400, 2450],
│ │ │ │ │          "65200189e": 566,
│ │ │ │ │ @@ -35281,14 +35281,15 @@
│ │ │ │ │          "6553": 2522,
│ │ │ │ │          "65535": [584, 2619, 2622],
│ │ │ │ │          "6556": 2522,
│ │ │ │ │          "6558": 2522,
│ │ │ │ │          "6562": 2522,
│ │ │ │ │          "6563": 2522,
│ │ │ │ │          "6566128774142013e": 653,
│ │ │ │ │ +        "6566726": 2461,
│ │ │ │ │          "6567": 2522,
│ │ │ │ │          "65685425": 2659,
│ │ │ │ │          "6569": 2522,
│ │ │ │ │          "6569866": 2666,
│ │ │ │ │          "6572": 2522,
│ │ │ │ │          "6574": 2522,
│ │ │ │ │          "65745445": [88, 101],
│ │ │ │ │ @@ -35324,20 +35325,21 @@
│ │ │ │ │          "66666667e": 1816,
│ │ │ │ │          "66669964e": 2171,
│ │ │ │ │          "6667": 2522,
│ │ │ │ │          "6668": 2522,
│ │ │ │ │          "6675": 2522,
│ │ │ │ │          "6678": 2522,
│ │ │ │ │          "6686": 2522,
│ │ │ │ │ +        "66860127": 2461,
│ │ │ │ │          "6689502": 2576,
│ │ │ │ │          "669": 669,
│ │ │ │ │          "6695": 2522,
│ │ │ │ │          "6697": 2522,
│ │ │ │ │          "6698": 2522,
│ │ │ │ │ -        "67": [409, 670, 671, 672, 1901, 2461, 2542, 2644, 2657, 2666],
│ │ │ │ │ +        "67": [409, 670, 671, 672, 1901, 2542, 2644, 2657, 2666],
│ │ │ │ │          "67046769e": 147,
│ │ │ │ │          "6717": 2522,
│ │ │ │ │          "6718": 2522,
│ │ │ │ │          "6719": 2522,
│ │ │ │ │          "6721": 2522,
│ │ │ │ │          "6726": 2522,
│ │ │ │ │          "6735": 2522,
│ │ │ │ │ @@ -35358,15 +35360,14 @@
│ │ │ │ │          "68080986": 349,
│ │ │ │ │          "6813": 2522,
│ │ │ │ │          "6817": 2522,
│ │ │ │ │          "6819": 2522,
│ │ │ │ │          "68206631e": 2104,
│ │ │ │ │          "684": [2463, 2572],
│ │ │ │ │          "6840": 2524,
│ │ │ │ │ -        "68406288": 2488,
│ │ │ │ │          "6843": 2524,
│ │ │ │ │          "68456316": [2339, 2352, 2382, 2389, 2399, 2429, 2436, 2449],
│ │ │ │ │          "68482974": 1153,
│ │ │ │ │          "6884": 2524,
│ │ │ │ │          "68862757": 660,
│ │ │ │ │          "6888893": [2352, 2399, 2449],
│ │ │ │ │          "69": [58, 431, 2657, 2666],
│ │ │ │ │ @@ -35396,14 +35397,15 @@
│ │ │ │ │          "70": [59, 457, 567, 2241, 2248, 2657],
│ │ │ │ │          "700": 567,
│ │ │ │ │          "70000000": 2635,
│ │ │ │ │          "701": 2463,
│ │ │ │ │          "703": 2625,
│ │ │ │ │          "7054": 2535,
│ │ │ │ │          "706": 520,
│ │ │ │ │ +        "7061747": 2461,
│ │ │ │ │          "70710678": [216, 247, 641, 1199, 1216, 1282, 1299, 1436, 1453, 1636, 1642, 1956, 1973, 2103],
│ │ │ │ │          "70710678118654746": 637,
│ │ │ │ │          "70710678j": 641,
│ │ │ │ │          "7083": 2529,
│ │ │ │ │          "71": [354, 650, 2460, 2657],
│ │ │ │ │          "71080601": 2659,
│ │ │ │ │          "71238898": 1911,
│ │ │ │ │ @@ -35461,15 +35463,15 @@
│ │ │ │ │          "7568025": 2666,
│ │ │ │ │          "75682846": 2659,
│ │ │ │ │          "7578": 2526,
│ │ │ │ │          "7590": 2526,
│ │ │ │ │          "75958653": 1911,
│ │ │ │ │          "7597": 2526,
│ │ │ │ │          "75j": 2659,
│ │ │ │ │ -        "76": [541, 1897, 2463, 2657, 2659],
│ │ │ │ │ +        "76": [541, 1897, 2461, 2463, 2657, 2659],
│ │ │ │ │          "7608": 2526,
│ │ │ │ │          "7611397": [349, 2457, 2639],
│ │ │ │ │          "76190476e": 1816,
│ │ │ │ │          "76322758": 1154,
│ │ │ │ │          "7638": 2526,
│ │ │ │ │          "76425276e": 1149,
│ │ │ │ │          "76492172": 349,
│ │ │ │ │ @@ -35480,15 +35482,15 @@
│ │ │ │ │          "7670": 2526,
│ │ │ │ │          "7671": 2526,
│ │ │ │ │          "7676": 2526,
│ │ │ │ │          "7680": 2526,
│ │ │ │ │          "769893": 2635,
│ │ │ │ │          "76989341": 2635,
│ │ │ │ │          "76991118": 1891,
│ │ │ │ │ -        "77": [29, 36, 37, 38, 39, 2461, 2463, 2635, 2654, 2657],
│ │ │ │ │ +        "77": [29, 36, 37, 38, 39, 2463, 2635, 2654, 2657],
│ │ │ │ │          "770": [287, 1241, 1324, 1478, 1998, 2650],
│ │ │ │ │          "77086955": 1526,
│ │ │ │ │          "7724": 2526,
│ │ │ │ │          "7725": [2353, 2400, 2450],
│ │ │ │ │          "7731": 2526,
│ │ │ │ │          "7736": 2527,
│ │ │ │ │          "7737": 2526,
│ │ │ │ │ @@ -35521,14 +35523,15 @@
│ │ │ │ │          "78571429e": 1816,
│ │ │ │ │          "78606431": [349, 2457, 2639],
│ │ │ │ │          "789": 2644,
│ │ │ │ │          "7896": 2527,
│ │ │ │ │          "79": [13, 87, 100, 104, 129, 2657],
│ │ │ │ │          "79033856e": 1149,
│ │ │ │ │          "7904": 2527,
│ │ │ │ │ +        "79146522": 2461,
│ │ │ │ │          "7917": 2527,
│ │ │ │ │          "7919": 2527,
│ │ │ │ │          "7920": [1212, 2527],
│ │ │ │ │          "7932": 2527,
│ │ │ │ │          "7939": 2527,
│ │ │ │ │          "79479508": [2345, 2391, 2439],
│ │ │ │ │          "795": 650,
│ │ │ │ │ @@ -35562,17 +35565,15 @@
│ │ │ │ │          "80b3a34": 2614,
│ │ │ │ │          "81": [1650, 1884, 2635, 2641, 2645, 2657, 2666],
│ │ │ │ │          "81299683": 2635,
│ │ │ │ │          "812997": 2635,
│ │ │ │ │          "813": [270, 880, 1069, 1229, 1312, 1466, 1986],
│ │ │ │ │          "81327024": 2635,
│ │ │ │ │          "81349206": [1113, 1543],
│ │ │ │ │ -        "81425915": 2461,
│ │ │ │ │          "81814867": [2339, 2352, 2382, 2389, 2399, 2429, 2436, 2449],
│ │ │ │ │ -        "81868064": 2488,
│ │ │ │ │          "8192": [72, 517, 2092, 2619],
│ │ │ │ │          "82": [1650, 2323, 2367, 2414, 2463, 2657, 2666],
│ │ │ │ │          "8207540608310198": [2353, 2400, 2450],
│ │ │ │ │          "82276161": 349,
│ │ │ │ │          "8230": [2353, 2400, 2450],
│ │ │ │ │          "82485143": 2635,
│ │ │ │ │          "82502011": 349,
│ │ │ │ │ @@ -35710,15 +35711,15 @@
│ │ │ │ │          "940": 2587,
│ │ │ │ │          "941257": 2635,
│ │ │ │ │          "94125714": 2635,
│ │ │ │ │          "94708397920832": 2642,
│ │ │ │ │          "9475673279178444": 2348,
│ │ │ │ │          "94864945": 2666,
│ │ │ │ │          "94909878": [2387, 2434],
│ │ │ │ │ -        "95": [37, 39, 646, 2353, 2400, 2450, 2461, 2635, 2654, 2657],
│ │ │ │ │ +        "95": [37, 39, 646, 2353, 2400, 2450, 2635, 2654, 2657],
│ │ │ │ │          "9504637": 2666,
│ │ │ │ │          "950684": 2635,
│ │ │ │ │          "95068423": 2635,
│ │ │ │ │          "9555": [2533, 2534],
│ │ │ │ │          "9556": [2533, 2534],
│ │ │ │ │          "9557": [2533, 2534],
│ │ │ │ │          "9558": [2533, 2534],
│ │ │ │ │ @@ -35735,15 +35736,14 @@
│ │ │ │ │          "96979195": 2635,
│ │ │ │ │          "969792": 2635,
│ │ │ │ │          "96e7": 42,
│ │ │ │ │          "97": [2463, 2635, 2657, 2666],
│ │ │ │ │          "9700": 2666,
│ │ │ │ │          "9701": 2666,
│ │ │ │ │          "9702": 2666,
│ │ │ │ │ -        "97058246": 2461,
│ │ │ │ │          "97074098": 349,
│ │ │ │ │          "973": [941, 1114, 1123, 1124, 1131],
│ │ │ │ │          "9732": [2533, 2534],
│ │ │ │ │          "9736": [2533, 2534],
│ │ │ │ │          "9742": [2533, 2534],
│ │ │ │ │          "9744": [2533, 2534],
│ │ │ │ │          "9745": [2533, 2534],
│ │ │ │ │ @@ -35761,25 +35761,26 @@
│ │ │ │ │          "9772": 2534,
│ │ │ │ │          "9794": 2534,
│ │ │ │ │          "9797": 2666,
│ │ │ │ │          "97974649": 524,
│ │ │ │ │          "9798": 2666,
│ │ │ │ │          "9799": 2666,
│ │ │ │ │          "98": [481, 647, 1157, 2635, 2657, 2666],
│ │ │ │ │ +        "980": 2461,
│ │ │ │ │          "9800": 2666,
│ │ │ │ │          "9801": 2666,
│ │ │ │ │          "9802": 2666,
│ │ │ │ │          "98024613": 680,
│ │ │ │ │          "9807642": 1153,
│ │ │ │ │          "981": 2592,
│ │ │ │ │          "98136677": 523,
│ │ │ │ │ -        "98180209": 2461,
│ │ │ │ │          "987": 28,
│ │ │ │ │          "987654321": 2393,
│ │ │ │ │          "98935825": 2666,
│ │ │ │ │ +        "98969613": 2488,
│ │ │ │ │          "9897": 2666,
│ │ │ │ │          "9898": 2666,
│ │ │ │ │          "9899": [105, 130, 2666],
│ │ │ │ │          "99": [12, 302, 408, 544, 672, 1096, 1906, 2131, 2460, 2635, 2657, 2658, 2666],
│ │ │ │ │          "9900": 2666,
│ │ │ │ │          "99004057": 349,
│ │ │ │ │          "9901": 2666,