--- /srv/rebuilderd/tmp/rebuilderd7HqZMb/inputs/python-numpy-doc_2.2.4+ds-1_all.deb
+++ /srv/rebuilderd/tmp/rebuilderd7HqZMb/out/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  5748876 2025-04-01 19:45:23.000000 data.tar.xz
│ +-rw-r--r--   0        0        0    64880 2025-04-01 19:45:23.000000 control.tar.xz
│ +-rw-r--r--   0        0        0  5748968 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)    44354 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)    44349 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)  2687918 2025-04-01 19:45:23.000000 ./usr/share/doc/python-numpy/html/searchindex.js
│ │ │ +-rw-r--r--   0 root         (0) root         (0)  2687933 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">1.28 ms +- 15.7 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ -<span class="go">2.24 ms +- 23.1 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ +<span class="go">1.32 ms +- 150 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ +<span class="go">2.55 ms +- 88.6 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">626 us +- 7.21 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ -<span class="go">1.56 ms +- 15.2 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ +<span class="go">543 us +- 26.3 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ +<span class="go">1.67 ms +- 90.3 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">2.3 ms +- 8.81 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ -<span class="go">4.41 ms +- 9.56 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ +<span class="go">2.48 ms +- 102 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ +<span class="go">4.66 ms +- 154 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([0.20603939, 0.47061387, 0.86256701])</span>
│ │ │ +<span class="gh">Out[7]: </span><span class="go">array([0.75191984, 0.0435789 , 0.59265575])</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([0.18358761, 0.15874952, 0.03037512], dtype=float32)</span>
│ │ │ +<span class="gh">Out[8]: </span><span class="go">array([0.0158866, 0.1820417, 0.5507613], 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([217,  76,  75], dtype=uint8)</span>
│ │ │ +<span class="gh">Out[9]: </span><span class="go">array([222,  21,  70], 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([0.05299698, 0.2293819 ])</span>
│ │ │ +<span class="gh">Out[12]: </span><span class="go">array([0.28327652, 0.68506651])</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">[0.05299698 0.2293819  0.         0.        ]</span>
│ │ │ +<span class="go">[0.28327652 0.68506651 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,  2,  3,  0,  1],</span>
│ │ │ -<span class="go">       [ 5,  6,  7,  4,  5],</span>
│ │ │ -<span class="go">       [ 9, 10, 11,  8,  9]])</span>
│ │ │ +<span class="go">array([[ 1,  3,  2,  0,  3],</span>
│ │ │ +<span class="go">       [ 5,  7,  6,  4,  7],</span>
│ │ │ +<span class="go">       [ 9, 11, 10,  8, 11]])</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([[ 3,  2,  0,  1],</span>
│ │ │ -<span class="go">       [ 7,  6,  4,  5],</span>
│ │ │ -<span class="go">       [11, 10,  8,  9]])</span>
│ │ │ +<span class="go">array([[ 2,  0,  1,  3],</span>
│ │ │ +<span class="go">       [ 6,  4,  5,  7],</span>
│ │ │ +<span class="go">       [10,  8,  9, 11]])</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)
│ │ │ │     ...:
│ │ │ │ -1.28 ms +- 15.7 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ -2.24 ms +- 23.1 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ +1.32 ms +- 150 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ +2.55 ms +- 88.6 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)
│ │ │ │     ...:
│ │ │ │ -626 us +- 7.21 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ -1.56 ms +- 15.2 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ +543 us +- 26.3 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ +1.67 ms +- 90.3 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)
│ │ │ │     ...:
│ │ │ │ -2.3 ms +- 8.81 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ -4.41 ms +- 9.56 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ +2.48 ms +- 102 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ +4.66 ms +- 154 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([0.20603939, 0.47061387, 0.86256701])
│ │ │ │ +Out[7]: array([0.75191984, 0.0435789 , 0.59265575])
│ │ │ │  
│ │ │ │  In [8]: rng.random(3, dtype=np.float32)
│ │ │ │ -Out[8]: array([0.18358761, 0.15874952, 0.03037512], dtype=float32)
│ │ │ │ +Out[8]: array([0.0158866, 0.1820417, 0.5507613], dtype=float32)
│ │ │ │  
│ │ │ │  In [9]: rng.integers(0, 256, size=3, dtype=np.uint8)
│ │ │ │ -Out[9]: array([217,  76,  75], dtype=uint8)
│ │ │ │ +Out[9]: array([222,  21,  70], 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([0.05299698, 0.2293819 ])
│ │ │ │ +Out[12]: array([0.28327652, 0.68506651])
│ │ │ │  
│ │ │ │  In [13]: print(existing)
│ │ │ │ -[0.05299698 0.2293819  0.         0.        ]
│ │ │ │ +[0.28327652 0.68506651 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,  2,  3,  0,  1],
│ │ │ │ -       [ 5,  6,  7,  4,  5],
│ │ │ │ -       [ 9, 10, 11,  8,  9]])
│ │ │ │ +array([[ 1,  3,  2,  0,  3],
│ │ │ │ +       [ 5,  7,  6,  4,  7],
│ │ │ │ +       [ 9, 11, 10,  8, 11]])
│ │ │ │  
│ │ │ │  In [18]: rng.shuffle(a, axis=1)        # Shuffle in-place
│ │ │ │  
│ │ │ │  In [19]: a
│ │ │ │  Out[19]:
│ │ │ │ -array([[ 3,  2,  0,  1],
│ │ │ │ -       [ 7,  6,  4,  5],
│ │ │ │ -       [11, 10,  8,  9]])
│ │ │ │ +array([[ 2,  0,  1,  3],
│ │ │ │ +       [ 6,  4,  5,  7],
│ │ │ │ +       [10,  8,  9, 11]])
│ │ │ │      * 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([ 1.33339157, -1.74432687])</span>
│ │ │ +<span class="gh">Out[4]: </span><span class="go">array([ 0.96847818, -0.08005699])</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([4.2559352 , 6.00026207], domain=[0., 9.], window=[-1.,  1.], symbol=&#39;x&#39;)</span>
│ │ │ +<span class="gh">Out[6]: </span><span class="go">Polynomial([4.27809482, 4.35815181], 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([-1.74432687,  1.33339157], domain=[-1.,  1.], window=[-1.,  1.], symbol=&#39;x&#39;)</span>
│ │ │ +<span class="gh">Out[7]: </span><span class="go">Polynomial([-0.08005699,  0.96847818], 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([ 1.33339157, -1.74432687])
│ │ │ │ +Out[4]: array([ 0.96847818, -0.08005699])
│ │ │ │  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([4.2559352 , 6.00026207], domain=[0., 9.], window=[-1.,
│ │ │ │ +Out[6]: Polynomial([4.27809482, 4.35815181], 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([-1.74432687,  1.33339157], domain=[-1.,  1.], window=[-1.,
│ │ │ │ +Out[7]: Polynomial([-0.08005699,  0.96847818], 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 {}
│ │ │ │ @@ -32314,15 +32314,14 @@
│ │ │ │          "00010001": [140, 146],
│ │ │ │          "00011100": 146,
│ │ │ │          "00011101": 144,
│ │ │ │          "00012": 137,
│ │ │ │          "00016403": 1640,
│ │ │ │          "0001e10": [91, 548],
│ │ │ │          "0002": 2607,
│ │ │ │ -        "00026207": 2488,
│ │ │ │          "0003": [1596, 1653, 1710, 1767, 1824, 1879, 1893, 2607],
│ │ │ │          "0003163943736596009": 2315,
│ │ │ │          "00032805": 1697,
│ │ │ │          "000e": [410, 2658],
│ │ │ │          "000j": 1335,
│ │ │ │          "001": [335, 420, 947, 1541, 1596, 1602, 1653, 1659, 1710, 1716, 1767, 1773, 1824, 1830, 1879, 1886, 1893, 2160],
│ │ │ │          "0010": 1519,
│ │ │ │ @@ -32346,14 +32345,15 @@
│ │ │ │          "010": [653, 1602, 1659, 1716, 1773, 1830, 1886],
│ │ │ │          "0100": 1519,
│ │ │ │          "01041667": 1585,
│ │ │ │          "011": [1602, 1659, 1716, 1773, 1830, 1886],
│ │ │ │          "012": [1602, 1659, 1716, 1773, 1830, 1886],
│ │ │ │          "0123456789": [303, 2132],
│ │ │ │          "01280782": [2335, 2378, 2425],
│ │ │ │ +        "0158866": 2461,
│ │ │ │          "016": [648, 653],
│ │ │ │          "01652764": 2635,
│ │ │ │          "01666667": 1544,
│ │ │ │          "016j": 2105,
│ │ │ │          "01831564": 1660,
│ │ │ │          "018318": [2353, 2400, 2450],
│ │ │ │          "01j": 514,
│ │ │ │ @@ -32370,36 +32370,35 @@
│ │ │ │          "02654825": 1891,
│ │ │ │          "02658058e": 2666,
│ │ │ │          "02755911": 2666,
│ │ │ │          "027559113243068367": 2666,
│ │ │ │          "02785049": 1867,
│ │ │ │          "02i": [513, 2644],
│ │ │ │          "03": [55, 67, 163, 566, 669, 1335, 1586, 1816, 2658],
│ │ │ │ -        "03037512": 2461,
│ │ │ │          "03125": [1585, 2491],
│ │ │ │          "0326911": [2335, 2378, 2425],
│ │ │ │          "0361": 2607,
│ │ │ │          "03703704": 1809,
│ │ │ │          "03943254e": 2104,
│ │ │ │          "03968254": [1113, 1543],
│ │ │ │          "0396842": 680,
│ │ │ │          "03t13": 55,
│ │ │ │          "04": [54, 55, 164, 410, 547, 1586, 2463, 2594, 2659],
│ │ │ │          "0400": 360,
│ │ │ │          "04097352": 2635,
│ │ │ │          "04166667": [1544, 1585],
│ │ │ │          "04211c6": 2521,
│ │ │ │ +        "0435789": 2461,
│ │ │ │          "04551152e": 2104,
│ │ │ │          "04719755": 1911,
│ │ │ │          "05": [55, 91, 163, 410, 548, 669, 896, 1095, 1871, 2083, 2173, 2353, 2400, 2450, 2648],
│ │ │ │          "0500": 360,
│ │ │ │          "05093587": 2635,
│ │ │ │          "05208333": 1585,
│ │ │ │          "05263157894736836": 2257,
│ │ │ │ -        "05299698": 2461,
│ │ │ │          "0549999999999997": 2083,
│ │ │ │          "055": 2083,
│ │ │ │          "0596779": 1153,
│ │ │ │          "06": [55, 566, 2083, 2508],
│ │ │ │          "0614962j": [439, 453],
│ │ │ │          "0625": [418, 624, 1645],
│ │ │ │          "06369197489564249": 2458,
│ │ │ │ @@ -32410,14 +32409,15 @@
│ │ │ │          "07106781e": 514,
│ │ │ │          "07407407": 1809,
│ │ │ │          "07779185": 2458,
│ │ │ │          "07937323": 524,
│ │ │ │          "07944154": [657, 2655],
│ │ │ │          "08": [55, 91, 147, 410, 523, 548, 896, 1095, 2322, 2366, 2413, 2525, 2659],
│ │ │ │          "0800": 2525,
│ │ │ │ +        "08005699": 2488,
│ │ │ │          "08187135": 54,
│ │ │ │          "08333333": [1645, 1871],
│ │ │ │          "08405657": 1867,
│ │ │ │          "0855": 2642,
│ │ │ │          "08553692": 38,
│ │ │ │          "085537": 2642,
│ │ │ │          "0856306": 1154,
│ │ │ │ @@ -32503,15 +32503,15 @@
│ │ │ │          "100j": 1909,
│ │ │ │          "100x5": 652,
│ │ │ │          "101": [86, 137, 138, 143, 145, 570, 1325, 2077, 2463, 2666],
│ │ │ │          "1010": [145, 1519, 2077],
│ │ │ │          "10100": [143, 570],
│ │ │ │          "1015": 2592,
│ │ │ │          "10151": 2560,
│ │ │ │ -        "102": [2463, 2637, 2666],
│ │ │ │ +        "102": [2461, 2463, 2637, 2666],
│ │ │ │          "1023": [141, 2583],
│ │ │ │          "1024": [66, 72, 2658],
│ │ │ │          "10240": 977,
│ │ │ │          "103": 2463,
│ │ │ │          "10330": 55,
│ │ │ │          "10339": [2536, 2542],
│ │ │ │          "1035": [1643, 1655],
│ │ │ │ @@ -32976,15 +32976,15 @@
│ │ │ │          "14993": 2559,
│ │ │ │          "14995": 2566,
│ │ │ │          "14996": 2560,
│ │ │ │          "14j": 1915,
│ │ │ │          "14t15": 55,
│ │ │ │          "14x": 2583,
│ │ │ │          "15": [47, 54, 55, 58, 59, 61, 98, 107, 108, 141, 270, 329, 357, 359, 366, 367, 371, 375, 409, 443, 448, 470, 477, 489, 530, 645, 652, 653, 655, 661, 671, 756, 880, 893, 905, 963, 1069, 1083, 1114, 1143, 1229, 1247, 1312, 1466, 1483, 1591, 1695, 1704, 1886, 1899, 1900, 1986, 2089, 2115, 2154, 2162, 2168, 2170, 2204, 2205, 2206, 2209, 2210, 2223, 2224, 2225, 2237, 2240, 2246, 2316, 2327, 2341, 2342, 2355, 2361, 2372, 2384, 2390, 2402, 2408, 2419, 2431, 2438, 2452, 2457, 2461, 2463, 2513, 2515, 2519, 2536, 2538, 2539, 2547, 2560, 2562, 2563, 2564, 2565, 2567, 2573, 2575, 2583, 2587, 2588, 2590, 2591, 2602, 2604, 2622, 2623, 2628, 2633, 2635, 2637, 2638, 2641, 2645, 2657, 2659, 2666],
│ │ │ │ -        "150": [363, 2463],
│ │ │ │ +        "150": [363, 2461, 2463],
│ │ │ │          "1500000": 2635,
│ │ │ │          "15006": 2588,
│ │ │ │          "15012": 2560,
│ │ │ │          "15028c96": 2668,
│ │ │ │          "15038": 2559,
│ │ │ │          "15067": 2559,
│ │ │ │          "15068": 2560,
│ │ │ │ @@ -33022,15 +33022,15 @@
│ │ │ │          "15255": 2566,
│ │ │ │          "15271": 2576,
│ │ │ │          "153": 2583,
│ │ │ │          "15302337": 523,
│ │ │ │          "1534": 485,
│ │ │ │          "15355": 2566,
│ │ │ │          "15385": 2566,
│ │ │ │ -        "154": [2463, 2666],
│ │ │ │ +        "154": [2461, 2463, 2666],
│ │ │ │          "15427": 2566,
│ │ │ │          "15463": 2566,
│ │ │ │          "155": [2463, 2637],
│ │ │ │          "15534": 2566,
│ │ │ │          "15648": 2566,
│ │ │ │          "15666": 2572,
│ │ │ │          "15675": 2562,
│ │ │ │ @@ -33056,15 +33056,14 @@
│ │ │ │          "1582": 55,
│ │ │ │          "15840": 2566,
│ │ │ │          "15844": 2588,
│ │ │ │          "15852": 2572,
│ │ │ │          "15867": 2566,
│ │ │ │          "15870": 2566,
│ │ │ │          "15872": 2566,
│ │ │ │ -        "15874952": 2461,
│ │ │ │          "15882": 2566,
│ │ │ │          "15886": 2572,
│ │ │ │          "15888336": 680,
│ │ │ │          "159": 2463,
│ │ │ │          "15900": 2572,
│ │ │ │          "15916": 2563,
│ │ │ │          "15929": 2563,
│ │ │ │ @@ -33266,14 +33265,15 @@
│ │ │ │          "18053": 2599,
│ │ │ │          "18070": 2576,
│ │ │ │          "181": 2327,
│ │ │ │          "18110": 2576,
│ │ │ │          "18114": 2571,
│ │ │ │          "18181818": 136,
│ │ │ │          "182": [1526, 2463],
│ │ │ │ +        "1820417": 2461,
│ │ │ │          "18249173": 1153,
│ │ │ │          "18306": 2573,
│ │ │ │          "18310": 2573,
│ │ │ │          "18322": 2576,
│ │ │ │          "18326": 2573,
│ │ │ │          "18327": 2573,
│ │ │ │          "18328": 2573,
│ │ │ │ @@ -33284,15 +33284,14 @@
│ │ │ │          "18345": 2573,
│ │ │ │          "18351": 2573,
│ │ │ │          "18352": 2573,
│ │ │ │          "18353": 2573,
│ │ │ │          "18354": 2573,
│ │ │ │          "18356": 2573,
│ │ │ │          "18357": 2573,
│ │ │ │ -        "18358761": 2461,
│ │ │ │          "18359": 2573,
│ │ │ │          "1837": 2611,
│ │ │ │          "1838": 2611,
│ │ │ │          "18382": 2574,
│ │ │ │          "184": [520, 2572],
│ │ │ │          "1843": 2611,
│ │ │ │          "18459": 2574,
│ │ │ │ @@ -33609,15 +33608,14 @@
│ │ │ │          "20495": 2581,
│ │ │ │          "20497": 2581,
│ │ │ │          "20500": 2588,
│ │ │ │          "2052": 2615,
│ │ │ │          "20580": 2588,
│ │ │ │          "20589": 2588,
│ │ │ │          "206": 2463,
│ │ │ │ -        "20603939": 2461,
│ │ │ │          "20613": 2581,
│ │ │ │          "20618": 2581,
│ │ │ │          "2063": 2612,
│ │ │ │          "207": 2463,
│ │ │ │          "20702": 2584,
│ │ │ │          "20703": 2584,
│ │ │ │          "20704": 2584,
│ │ │ │ @@ -33737,15 +33735,14 @@
│ │ │ │          "2155": [305, 2134],
│ │ │ │          "21595": 2594,
│ │ │ │          "216": 2666,
│ │ │ │          "21623": [2588, 2594],
│ │ │ │          "21627": 2594,
│ │ │ │          "21645": 2594,
│ │ │ │          "21663": 2588,
│ │ │ │ -        "217": 2461,
│ │ │ │          "21760": 2622,
│ │ │ │          "218": [566, 2463],
│ │ │ │          "21807": 2594,
│ │ │ │          "2184": 2225,
│ │ │ │          "21866": 2589,
│ │ │ │          "21867": 2589,
│ │ │ │          "21868": 2589,
│ │ │ │ @@ -33785,15 +33782,15 @@
│ │ │ │          "22137": 2599,
│ │ │ │          "22139": 2594,
│ │ │ │          "22148": 2591,
│ │ │ │          "22155": 2591,
│ │ │ │          "22156": 2591,
│ │ │ │          "22159": 2594,
│ │ │ │          "22195": 2591,
│ │ │ │ -        "222": [642, 669, 2460],
│ │ │ │ +        "222": [642, 669, 2460, 2461],
│ │ │ │          "22214": 2591,
│ │ │ │          "22215": 2591,
│ │ │ │          "22216": 2591,
│ │ │ │          "22220": 2591,
│ │ │ │          "22221": 2591,
│ │ │ │          "22222": 2591,
│ │ │ │          "222222": 1335,
│ │ │ │ @@ -33886,15 +33883,14 @@
│ │ │ │          "22867": 2595,
│ │ │ │          "22868": 2595,
│ │ │ │          "22875": 2595,
│ │ │ │          "22877": 2595,
│ │ │ │          "22883": 2595,
│ │ │ │          "22884": 2595,
│ │ │ │          "22887": 2595,
│ │ │ │ -        "2293819": 2461,
│ │ │ │          "22959": 2596,
│ │ │ │          "22963": 2599,
│ │ │ │          "22965": 2596,
│ │ │ │          "22966": 2596,
│ │ │ │          "22967": 2596,
│ │ │ │          "22968": 2596,
│ │ │ │          "22969": 2596,
│ │ │ │ @@ -33903,15 +33899,15 @@
│ │ │ │          "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,
│ │ │ │ @@ -33998,15 +33994,15 @@
│ │ │ │          "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, 2461, 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, 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,
│ │ │ │ @@ -34293,15 +34289,14 @@
│ │ │ │          "25536": 2622,
│ │ │ │          "25539": 2606,
│ │ │ │          "25553": 2622,
│ │ │ │          "25557246e": 438,
│ │ │ │          "25570": 2622,
│ │ │ │          "25584": 2606,
│ │ │ │          "25585": 2606,
│ │ │ │ -        "2559352": 2488,
│ │ │ │          "25599": 2606,
│ │ │ │          "256": [69, 186, 287, 333, 418, 438, 514, 624, 827, 999, 1172, 1241, 1259, 1324, 1414, 1478, 1933, 1998, 2158, 2290, 2303, 2304, 2461, 2462, 2613, 2637, 2650],
│ │ │ │          "2561": 2615,
│ │ │ │          "25618": 2606,
│ │ │ │          "25619": 2606,
│ │ │ │          "25620": 2606,
│ │ │ │          "25630": 2606,
│ │ │ │ @@ -34337,15 +34332,15 @@
│ │ │ │          "25914": 2622,
│ │ │ │          "25943": 2622,
│ │ │ │          "25954": 2622,
│ │ │ │          "25d0": 32,
│ │ │ │          "25j": 2659,
│ │ │ │          "25t03": 55,
│ │ │ │          "25x": 138,
│ │ │ │ -        "26": [29, 30, 40, 50, 54, 55, 58, 63, 79, 146, 944, 2204, 2208, 2310, 2333, 2377, 2424, 2513, 2519, 2534, 2536, 2537, 2577, 2599, 2601, 2622, 2625, 2629, 2641, 2657, 2658, 2666],
│ │ │ │ +        "26": [29, 30, 40, 50, 54, 55, 58, 63, 79, 146, 944, 2204, 2208, 2310, 2333, 2377, 2424, 2461, 2513, 2519, 2534, 2536, 2537, 2577, 2599, 2601, 2622, 2625, 2629, 2641, 2657, 2658, 2666],
│ │ │ │          "260": [162, 1328, 2238, 2576, 2666],
│ │ │ │          "26064346e": 147,
│ │ │ │          "26081": 2625,
│ │ │ │          "26103": 2625,
│ │ │ │          "26137788e": 2104,
│ │ │ │          "26157": 2625,
│ │ │ │          "262": 2666,
│ │ │ │ @@ -34493,14 +34488,15 @@
│ │ │ │          "27673": 2628,
│ │ │ │          "27695": 2629,
│ │ │ │          "27723": 2629,
│ │ │ │          "27735": 2629,
│ │ │ │          "27736": 2629,
│ │ │ │          "27807": 2629,
│ │ │ │          "27808": 2629,
│ │ │ │ +        "27809482": 2488,
│ │ │ │          "27896": 2629,
│ │ │ │          "278dd2a": 13,
│ │ │ │          "2791": 2615,
│ │ │ │          "27935": 2630,
│ │ │ │          "2794155": 2666,
│ │ │ │          "27950": 2630,
│ │ │ │          "27955": 2630,
│ │ │ │ @@ -34516,15 +34512,15 @@
│ │ │ │          "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,
│ │ │ │ @@ -34570,14 +34566,15 @@
│ │ │ │          "28293632": 90,
│ │ │ │          "2829785": 1154,
│ │ │ │          "28305": 2632,
│ │ │ │          "283185307179586": 2238,
│ │ │ │          "28318531": [1891, 2238],
│ │ │ │          "28321": 2632,
│ │ │ │          "28324": 2632,
│ │ │ │ +        "28327652": 2461,
│ │ │ │          "28333": 2633,
│ │ │ │          "28348": 2633,
│ │ │ │          "28377": 2633,
│ │ │ │          "28379": 2633,
│ │ │ │          "28385": 2633,
│ │ │ │          "28420": 2633,
│ │ │ │          "28422": 2633,
│ │ │ │ @@ -34708,15 +34705,15 @@
│ │ │ │          "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, 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, 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],
│ │ │ │          "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,
│ │ │ │ @@ -34734,15 +34731,14 @@
│ │ │ │          "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,
│ │ │ │          "33339": 2173,
│ │ │ │ -        "33339157": 2488,
│ │ │ │          "33340274885464394": 2202,
│ │ │ │          "3340": [287, 1241, 1324, 1478, 1998],
│ │ │ │          "3348": 2617,
│ │ │ │          "33486982e": 438,
│ │ │ │          "3361": [99, 906],
│ │ │ │          "3364": 2615,
│ │ │ │          "3373": 2615,
│ │ │ │ @@ -34770,14 +34766,15 @@
│ │ │ │          "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,
│ │ │ │ +        "35815181": 2488,
│ │ │ │          "36": [58, 137, 355, 1752, 1761, 2204, 2225, 2323, 2367, 2414, 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,
│ │ │ │ @@ -34861,15 +34858,15 @@
│ │ │ │          "4051": [2615, 2617],
│ │ │ │          "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, 2461, 2585, 2657, 2666],
│ │ │ │ +        "41": [941, 1114, 1123, 1124, 1131, 1913, 2104, 2107, 2208, 2236, 2585, 2657, 2666],
│ │ │ │          "4109": 2617,
│ │ │ │          "41211849": 2666,
│ │ │ │          "4123": [2615, 2617],
│ │ │ │          "4134": 2617,
│ │ │ │          "41357986e": 2175,
│ │ │ │          "4138": 2617,
│ │ │ │          "4141": 2615,
│ │ │ │ @@ -34981,30 +34978,29 @@
│ │ │ │          "46755891e": 54,
│ │ │ │          "468": [136, 147],
│ │ │ │          "4685006": [2352, 2399, 2449],
│ │ │ │          "4686": 12,
│ │ │ │          "46957616e": [470, 1899, 1900],
│ │ │ │          "47": [52, 2208, 2323, 2367, 2414, 2657, 2666],
│ │ │ │          "4702687338396767": 2348,
│ │ │ │ -        "47061387": 2461,
│ │ │ │          "471": [136, 147, 2463],
│ │ │ │          "47108547995356098": [2345, 2391, 2439],
│ │ │ │          "47140452j": 2491,
│ │ │ │          "472": 55,
│ │ │ │          "4722": 2618,
│ │ │ │          "4723": 2621,
│ │ │ │          "4730": [409, 661, 2168],
│ │ │ │          "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, 2657, 2659],
│ │ │ │ +        "48": [58, 270, 355, 880, 1069, 1142, 1229, 1312, 1466, 1867, 1986, 2208, 2239, 2323, 2367, 2414, 2461, 2657, 2659],
│ │ │ │          "480": [238, 858, 1041, 1207, 1290, 1444, 1964],
│ │ │ │          "4800": 57,
│ │ │ │          "48000000": 2635,
│ │ │ │          "4809319": 1153,
│ │ │ │          "4816": [99, 906],
│ │ │ │          "48219694e": [421, 948],
│ │ │ │          "4836": 2618,
│ │ │ │ @@ -35116,40 +35112,42 @@
│ │ │ │          "54": [38, 59, 523, 1638, 1711, 1764, 2208, 2642, 2657],
│ │ │ │          "540": [2238, 2576],
│ │ │ │          "54030231": 2666,
│ │ │ │          "54030231j": 2666,
│ │ │ │          "541": 2463,
│ │ │ │          "54117": 1644,
│ │ │ │          "5424": 2621,
│ │ │ │ +        "543": 2461,
│ │ │ │          "54323428": [2345, 2391, 2439],
│ │ │ │          "54362499": 2635,
│ │ │ │          "54402111": 2666,
│ │ │ │          "54545455": 136,
│ │ │ │          "54627315": 2635,
│ │ │ │          "5470": [2353, 2400, 2450],
│ │ │ │          "5481": 2621,
│ │ │ │          "5492": 2621,
│ │ │ │          "54930614": [106, 131],
│ │ │ │          "5493061443340549": [413, 619],
│ │ │ │          "54959369": 2666,
│ │ │ │          "54999924": 1247,
│ │ │ │ -        "55": [28, 59, 60, 73, 893, 1083, 1143, 1525, 1905, 2090, 2204, 2240, 2622, 2657],
│ │ │ │ +        "55": [28, 59, 60, 73, 893, 1083, 1143, 1525, 1905, 2090, 2204, 2240, 2461, 2622, 2657],
│ │ │ │          "55000000074505806": 1247,
│ │ │ │ +        "5507613": 2461,
│ │ │ │          "5510652": 2635,
│ │ │ │          "55111512e": 642,
│ │ │ │          "55131477": 1153,
│ │ │ │          "5524": 2621,
│ │ │ │          "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],
│ │ │ │ @@ -35175,14 +35173,15 @@
│ │ │ │          "58289208": 2635,
│ │ │ │          "584388": 55,
│ │ │ │          "585": [378, 1358, 1514, 2583],
│ │ │ │          "58578644": 1756,
│ │ │ │          "58826587": 349,
│ │ │ │          "59": [55, 2208, 2602, 2657],
│ │ │ │          "5910": [287, 1241, 1324, 1478, 1998],
│ │ │ │ +        "59265575": 2461,
│ │ │ │          "595726": 2635,
│ │ │ │          "59572603": 2635,
│ │ │ │          "5969": [99, 906],
│ │ │ │          "598150": 2642,
│ │ │ │          "59815003": 38,
│ │ │ │          "5982": 2642,
│ │ │ │          "59903635e": 147,
│ │ │ │ @@ -35223,15 +35222,14 @@
│ │ │ │          "6227766": 514,
│ │ │ │          "623": [2394, 2444],
│ │ │ │          "62318272": [2319, 2363, 2410],
│ │ │ │          "62341325": 514,
│ │ │ │          "62374854": 2666,
│ │ │ │          "624": [2300, 2370, 2394, 2417, 2444, 2462],
│ │ │ │          "625": [99, 478, 645, 906, 2390, 2438],
│ │ │ │ -        "626": 2461,
│ │ │ │          "6273591314603949": [2335, 2378, 2425],
│ │ │ │          "62949953e": 645,
│ │ │ │          "63": [58, 514, 669, 1748, 1777, 2336, 2463, 2520, 2566, 2594, 2642, 2657],
│ │ │ │          "631198583": 55,
│ │ │ │          "631198588": 55,
│ │ │ │          "63317787e": [2166, 2167],
│ │ │ │          "63526532": 2458,
│ │ │ │ @@ -35304,15 +35302,15 @@
│ │ │ │          "6586976": 1149,
│ │ │ │          "6590": 2522,
│ │ │ │          "6596": 2522,
│ │ │ │          "6596288841243357": 2458,
│ │ │ │          "659885634118668e": 645,
│ │ │ │          "65_535": 62,
│ │ │ │          "65x": 2594,
│ │ │ │ -        "66": [13, 58, 1922, 2547, 2657, 2666],
│ │ │ │ +        "66": [13, 58, 1922, 2461, 2547, 2657, 2666],
│ │ │ │          "6600475": 1149,
│ │ │ │          "6602": 2522,
│ │ │ │          "6606": 2522,
│ │ │ │          "6611": 2522,
│ │ │ │          "6614": 2522,
│ │ │ │          "6618": 2522,
│ │ │ │          "6621": 2522,
│ │ │ │ @@ -35334,15 +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,
│ │ │ │ @@ -35366,14 +35364,15 @@
│ │ │ │          "6819": 2522,
│ │ │ │          "68206631e": 2104,
│ │ │ │          "684": [2463, 2572],
│ │ │ │          "6840": 2524,
│ │ │ │          "6843": 2524,
│ │ │ │          "68456316": [2339, 2352, 2382, 2389, 2399, 2429, 2436, 2449],
│ │ │ │          "68482974": 1153,
│ │ │ │ +        "68506651": 2461,
│ │ │ │          "6884": 2524,
│ │ │ │          "68862757": 660,
│ │ │ │          "6888893": [2352, 2399, 2449],
│ │ │ │          "69": [58, 431, 2657, 2666],
│ │ │ │          "6916": 2524,
│ │ │ │          "6922": 2524,
│ │ │ │          "6924": 2524,
│ │ │ │ @@ -35393,15 +35392,15 @@
│ │ │ │          "699": 520,
│ │ │ │          "6ad92e5": 13,
│ │ │ │          "6e17": 55,
│ │ │ │          "6j": [538, 851, 866, 1025, 1026, 1031, 1051, 1891, 1909, 1914, 2241],
│ │ │ │          "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],
│ │ │ │ +        "70": [59, 457, 567, 2241, 2248, 2461, 2657],
│ │ │ │          "700": 567,
│ │ │ │          "70000000": 2635,
│ │ │ │          "701": 2463,
│ │ │ │          "703": 2625,
│ │ │ │          "7054": 2535,
│ │ │ │          "706": 520,
│ │ │ │          "70710678": [216, 247, 641, 1199, 1216, 1282, 1299, 1436, 1453, 1636, 1642, 1956, 1973, 2103],
│ │ │ │ @@ -35438,27 +35437,27 @@
│ │ │ │          "73496154e": 1867,
│ │ │ │          "73603959e": 2666,
│ │ │ │          "73799541": 1153,
│ │ │ │          "74": [2463, 2513, 2514, 2657],
│ │ │ │          "74000000": 2635,
│ │ │ │          "7416573867739413": 653,
│ │ │ │          "74165739": 653,
│ │ │ │ -        "74432687": 2488,
│ │ │ │          "74499359e": [420, 947],
│ │ │ │          "745966692414834": [648, 653],
│ │ │ │ -        "75": [58, 135, 440, 478, 516, 520, 528, 544, 645, 667, 870, 1056, 1542, 1606, 1634, 1663, 1834, 2091, 2257, 2461, 2491, 2657, 2659, 2666],
│ │ │ │ +        "75": [58, 135, 440, 478, 516, 520, 528, 544, 645, 667, 870, 1056, 1542, 1606, 1634, 1663, 1834, 2091, 2257, 2491, 2657, 2659, 2666],
│ │ │ │          "7500": 652,
│ │ │ │          "75000": 652,
│ │ │ │          "75008178": 349,
│ │ │ │          "75025": 28,
│ │ │ │          "7506": 2526,
│ │ │ │          "75078643": 349,
│ │ │ │          "75098725": 2666,
│ │ │ │          "75137473": 349,
│ │ │ │          "7515": [2353, 2400, 2450],
│ │ │ │ +        "75191984": 2461,
│ │ │ │          "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],
│ │ │ │          "7551": 2526,
│ │ │ │          "7558": 2526,
│ │ │ │ @@ -35466,15 +35465,15 @@
│ │ │ │          "7568025": 2666,
│ │ │ │          "75682846": 2659,
│ │ │ │          "7578": 2526,
│ │ │ │          "7590": 2526,
│ │ │ │          "75958653": 1911,
│ │ │ │          "7597": 2526,
│ │ │ │          "75j": 2659,
│ │ │ │ -        "76": [541, 1897, 2461, 2463, 2657, 2659],
│ │ │ │ +        "76": [541, 1897, 2463, 2657, 2659],
│ │ │ │          "7608": 2526,
│ │ │ │          "7611397": [349, 2457, 2639],
│ │ │ │          "76190476e": 1816,
│ │ │ │          "76322758": 1154,
│ │ │ │          "7638": 2526,
│ │ │ │          "76425276e": 1149,
│ │ │ │          "76492172": 349,
│ │ │ │ @@ -35561,15 +35560,15 @@
│ │ │ │          "8020": 2527,
│ │ │ │          "8024": 2527,
│ │ │ │          "8031": 2527,
│ │ │ │          "804": 2508,
│ │ │ │          "8044": 2527,
│ │ │ │          "8058837395885292": 666,
│ │ │ │          "80b3a34": 2614,
│ │ │ │ -        "81": [1650, 1884, 2461, 2635, 2641, 2645, 2657, 2666],
│ │ │ │ +        "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],
│ │ │ │          "81814867": [2339, 2352, 2382, 2389, 2399, 2429, 2436, 2449],
│ │ │ │          "8192": [72, 517, 2092, 2619],
│ │ │ │ @@ -35615,29 +35614,28 @@
│ │ │ │          "8570331885190563e": [648, 653],
│ │ │ │          "85715698e": 2171,
│ │ │ │          "8577": 2539,
│ │ │ │          "85859792": [349, 2457, 2639],
│ │ │ │          "8595784": 2635,
│ │ │ │          "86": [59, 88, 101, 103, 106, 126, 131, 542, 968, 969, 2323, 2367, 2414, 2491, 2657],
│ │ │ │          "8601": [55, 62, 67, 2613],
│ │ │ │ -        "86256701": 2461,
│ │ │ │          "86260211e": 54,
│ │ │ │          "8630830": 13,
│ │ │ │          "86399": 55,
│ │ │ │          "86400": 55,
│ │ │ │          "86401": 55,
│ │ │ │          "8660254": 2103,
│ │ │ │          "86820401": [2345, 2391, 2439],
│ │ │ │          "86864911e": 1586,
│ │ │ │          "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],
│ │ │ │ +        "88": [408, 2461, 2462, 2463, 2657, 2659, 2668],
│ │ │ │          "8801": [99, 906],
│ │ │ │          "88031624": 2666,
│ │ │ │          "88079259": 533,
│ │ │ │          "881943016134134": 666,
│ │ │ │          "88622693": 1642,
│ │ │ │          "888": [2514, 2658],
│ │ │ │          "8888": 2658,
│ │ │ │ @@ -35660,15 +35658,15 @@
│ │ │ │          "8b3": 2555,
│ │ │ │          "8b4": 2556,
│ │ │ │          "8d": 11,
│ │ │ │          "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],
│ │ │ │ +        "90": [25, 29, 33, 37, 39, 55, 68, 78, 363, 1910, 2082, 2103, 2248, 2461, 2463, 2610, 2654, 2657],
│ │ │ │          "90384387e": 2104,
│ │ │ │          "90476190e": 1816,
│ │ │ │          "90909091": 136,
│ │ │ │          "909297": 2642,
│ │ │ │          "90929743": 2666,
│ │ │ │          "91": 2657,
│ │ │ │          "91275558": 2635,
│ │ │ │ @@ -35731,14 +35729,15 @@
│ │ │ │          "95892427": 2666,
│ │ │ │          "96": [69, 1577, 1867, 2303, 2463, 2566, 2648, 2657, 2659, 2668],
│ │ │ │          "96139749": 2666,
│ │ │ │          "96202397": [2335, 2378, 2425],
│ │ │ │          "96360618": [2387, 2434],
│ │ │ │          "9665554": 349,
│ │ │ │          "96767474e": 54,
│ │ │ │ +        "96847818": 2488,
│ │ │ │          "96875": 2491,
│ │ │ │          "96979195": 2635,
│ │ │ │          "969792": 2635,
│ │ │ │          "96e7": 42,
│ │ │ │          "97": [2463, 2635, 2657, 2666],
│ │ │ │          "9700": 2666,
│ │ │ │          "9701": 2666,