--- /srv/reproducible-results/rbuild-debian/r-b-build.UjAiqi6M/b1/numpy_2.2.4+ds-1.2_arm64.changes
+++ /srv/reproducible-results/rbuild-debian/r-b-build.UjAiqi6M/b2/numpy_2.2.4+ds-1.2_arm64.changes
├── Files
│ @@ -1,5 +1,5 @@
│  
│ - ed64247277f03add106396214396d477 5807884 doc optional python-numpy-doc_2.2.4+ds-1.2_all.deb
│ + 115d385b10dfd93216677ba19b948e3e 5807952 doc optional python-numpy-doc_2.2.4+ds-1.2_all.deb
│   11c761cb3614185a39b982f88823a78f 14207256 debug optional python3-numpy-dbgsym_2.2.4+ds-1.2_arm64.deb
│   c0cbd4b003ff88afdbfa668cce7cae5d 138484 python optional python3-numpy-dev_2.2.4+ds-1.2_arm64.deb
│   8a68428d1b00e098c3b18a8d1908d801 3619724 python optional python3-numpy_2.2.4+ds-1.2_arm64.deb
├── python-numpy-doc_2.2.4+ds-1.2_all.deb
│ ├── file list
│ │ @@ -1,3 +1,3 @@
│ │  -rw-r--r--   0        0        0        4 2025-09-05 09:56:25.000000 debian-binary
│ │ --rw-r--r--   0        0        0    64952 2025-09-05 09:56:25.000000 control.tar.xz
│ │ --rw-r--r--   0        0        0  5742740 2025-09-05 09:56:25.000000 data.tar.xz
│ │ +-rw-r--r--   0        0        0    64948 2025-09-05 09:56:25.000000 control.tar.xz
│ │ +-rw-r--r--   0        0        0  5742812 2025-09-05 09:56:25.000000 data.tar.xz
│ ├── control.tar.xz
│ │ ├── control.tar
│ │ │ ├── ./md5sums
│ │ │ │ ├── ./md5sums
│ │ │ │ │┄ Files differ
│ ├── data.tar.xz
│ │ ├── data.tar
│ │ │ ├── file list
│ │ │ │ @@ -2579,15 +2579,15 @@
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    42758 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/random/generated/numpy.random.wald.html
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│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    45541 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/random/generated/numpy.random.zipf.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    82271 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/random/generator.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    45868 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/random/index.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    88939 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/random/legacy.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    35540 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/random/multithreading.html
│ │ │ │ --rw-r--r--   0 root         (0) root         (0)    44350 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/random/new-or-different.html
│ │ │ │ +-rw-r--r--   0 root         (0) root         (0)    44355 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/random/new-or-different.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    52723 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/random/parallel.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    38070 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/random/performance.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    41915 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/random/upgrading-pcg64.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    45914 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/routines.array-creation.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    50738 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/routines.array-manipulation.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    27400 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/routines.bitwise.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    54402 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/routines.char.html
│ │ │ │ @@ -2611,15 +2611,15 @@
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    24350 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/routines.matlib.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    26240 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/routines.other.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    37407 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials-package.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    46787 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials.chebyshev.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    51499 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials.classes.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    42945 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials.hermite.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    43480 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials.hermite_e.html
│ │ │ │ --rw-r--r--   0 root         (0) root         (0)    47585 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials.html
│ │ │ │ +-rw-r--r--   0 root         (0) root         (0)    47589 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    42872 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials.laguerre.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    42653 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials.legendre.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    28625 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials.poly1d.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    41718 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials.polynomial.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    26512 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials.polyutils.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    26749 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/routines.rec.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    26398 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/reference/routines.set.html
│ │ │ │ @@ -2756,15 +2756,15 @@
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    31655 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/release/2.2.1-notes.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    32348 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/release/2.2.2-notes.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    32865 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/release/2.2.3-notes.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    32016 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/release/2.2.4-notes.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    13407 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/release/template.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    90894 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/release.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    12397 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/search.html
│ │ │ │ --rw-r--r--   0 root         (0) root         (0)  2368721 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/searchindex.js
│ │ │ │ +-rw-r--r--   0 root         (0) root         (0)  2368697 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/searchindex.js
│ │ │ │  drwxr-xr-x   0 root         (0) root         (0)        0 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/user/
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)   177610 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/user/absolute_beginners.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    50529 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/user/basics.broadcasting.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    33464 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/user/basics.copies.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    64099 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/user/basics.creation.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    65763 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/user/basics.dispatch.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    18647 2025-09-05 09:56:25.000000 ./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">942 us +- 46.4 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ -<span class="go">2.42 ms +- 53.5 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">1.03 ms +- 41.5 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">2.43 ms +- 61.1 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">791 us +- 17 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ -<span class="go">1.69 ms +- 21 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">846 us +- 16.6 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">1.69 ms +- 15.2 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">2.33 ms +- 30.5 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ -<span class="go">4.11 ms +- 18.1 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">2.45 ms +- 37.3 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">4.11 ms +- 20.6 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([0.88856232, 0.32971054, 0.90031769])</span>
│ │ │ │ +<span class="gh">Out[7]: </span><span class="go">array([0.36919815, 0.60638863, 0.47996042])</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([0.7861685 , 0.02719402, 0.6552592 ], dtype=float32)</span>
│ │ │ │ +<span class="gh">Out[8]: </span><span class="go">array([0.5662515 , 0.57912993, 0.15133274], 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([167, 232, 239], dtype=uint8)</span>
│ │ │ │ +<span class="gh">Out[9]: </span><span class="go">array([ 99,  14, 108], 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([0.13571341, 0.13990372])</span>
│ │ │ │ +<span class="gh">Out[12]: </span><span class="go">array([0.18950113, 0.97956739])</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">[0.13571341 0.13990372 0.         0.        ]</span>
│ │ │ │ +<span class="go">[0.18950113 0.97956739 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([[ 3,  0,  3,  0,  3],</span>
│ │ │ │ -<span class="go">       [ 7,  4,  7,  4,  7],</span>
│ │ │ │ -<span class="go">       [11,  8, 11,  8, 11]])</span>
│ │ │ │ +<span class="go">array([[ 2,  3,  0,  0,  2],</span>
│ │ │ │ +<span class="go">       [ 6,  7,  4,  4,  6],</span>
│ │ │ │ +<span class="go">       [10, 11,  8,  8, 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([[ 3,  1,  2,  0],</span>
│ │ │ │ -<span class="go">       [ 7,  5,  6,  4],</span>
│ │ │ │ -<span class="go">       [11,  9, 10,  8]])</span>
│ │ │ │ +<span class="go">array([[ 2,  0,  3,  1],</span>
│ │ │ │ +<span class="go">       [ 6,  4,  7,  5],</span>
│ │ │ │ +<span class="go">       [10,  8, 11,  9]])</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)
│ │ │ │ │     ...:
│ │ │ │ │ -942 us +- 46.4 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ -2.42 ms +- 53.5 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +1.03 ms +- 41.5 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +2.43 ms +- 61.1 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)
│ │ │ │ │     ...:
│ │ │ │ │ -791 us +- 17 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ -1.69 ms +- 21 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +846 us +- 16.6 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +1.69 ms +- 15.2 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)
│ │ │ │ │     ...:
│ │ │ │ │ -2.33 ms +- 30.5 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ -4.11 ms +- 18.1 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +2.45 ms +- 37.3 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +4.11 ms +- 20.6 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([0.88856232, 0.32971054, 0.90031769])
│ │ │ │ │ +Out[7]: array([0.36919815, 0.60638863, 0.47996042])
│ │ │ │ │  
│ │ │ │ │  In [8]: rng.random(3, dtype=np.float32)
│ │ │ │ │ -Out[8]: array([0.7861685 , 0.02719402, 0.6552592 ], dtype=float32)
│ │ │ │ │ +Out[8]: array([0.5662515 , 0.57912993, 0.15133274], dtype=float32)
│ │ │ │ │  
│ │ │ │ │  In [9]: rng.integers(0, 256, size=3, dtype=np.uint8)
│ │ │ │ │ -Out[9]: array([167, 232, 239], dtype=uint8)
│ │ │ │ │ +Out[9]: array([ 99,  14, 108], 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([0.13571341, 0.13990372])
│ │ │ │ │ +Out[12]: array([0.18950113, 0.97956739])
│ │ │ │ │  
│ │ │ │ │  In [13]: print(existing)
│ │ │ │ │ -[0.13571341 0.13990372 0.         0.        ]
│ │ │ │ │ +[0.18950113 0.97956739 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([[ 3,  0,  3,  0,  3],
│ │ │ │ │ -       [ 7,  4,  7,  4,  7],
│ │ │ │ │ -       [11,  8, 11,  8, 11]])
│ │ │ │ │ +array([[ 2,  3,  0,  0,  2],
│ │ │ │ │ +       [ 6,  7,  4,  4,  6],
│ │ │ │ │ +       [10, 11,  8,  8, 10]])
│ │ │ │ │  
│ │ │ │ │  In [18]: rng.shuffle(a, axis=1)        # Shuffle in-place
│ │ │ │ │  
│ │ │ │ │  In [19]: a
│ │ │ │ │  Out[19]:
│ │ │ │ │ -array([[ 3,  1,  2,  0],
│ │ │ │ │ -       [ 7,  5,  6,  4],
│ │ │ │ │ -       [11,  9, 10,  8]])
│ │ │ │ │ +array([[ 2,  0,  3,  1],
│ │ │ │ │ +       [ 6,  4,  7,  5],
│ │ │ │ │ +       [10,  8, 11,  9]])
│ │ │ │ │      * 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([0.89412556, 0.56917848])</span>
│ │ │ │ +<span class="gh">Out[4]: </span><span class="go">array([ 1.07717239, -0.51578556])</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([4.59274352, 4.02356504], domain=[0., 9.], window=[-1.,  1.], symbol=&#39;x&#39;)</span>
│ │ │ │ +<span class="gh">Out[6]: </span><span class="go">Polynomial([4.33149017, 4.84727573], 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([0.56917848, 0.89412556], domain=[-1.,  1.], window=[-1.,  1.], symbol=&#39;x&#39;)</span>
│ │ │ │ +<span class="gh">Out[7]: </span><span class="go">Polynomial([-0.51578556,  1.07717239], 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([0.89412556, 0.56917848])
│ │ │ │ │ +Out[4]: array([ 1.07717239, -0.51578556])
│ │ │ │ │  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([4.59274352, 4.02356504], domain=[0., 9.], window=[-1.,
│ │ │ │ │ +Out[6]: Polynomial([4.33149017, 4.84727573], 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([0.56917848, 0.89412556], domain=[-1.,  1.], window=[-1.,
│ │ │ │ │ +Out[7]: Polynomial([-0.51578556,  1.07717239], 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 {}
│ │ │ │ │ @@ -32361,24 +32361,22 @@
│ │ │ │ │          "01t12": 55,
│ │ │ │ │          "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,
│ │ │ │ │ -        "02356504": 2488,
│ │ │ │ │          "0253": 2652,
│ │ │ │ │          "02654825": 1891,
│ │ │ │ │          "02658058e": 2666,
│ │ │ │ │ -        "02719402": 2461,
│ │ │ │ │          "02755911": 2666,
│ │ │ │ │          "027559113243068367": 2666,
│ │ │ │ │          "02785049": 1867,
│ │ │ │ │          "02i": [513, 2644],
│ │ │ │ │ -        "03": [55, 67, 163, 566, 669, 1335, 1586, 1816, 2658],
│ │ │ │ │ +        "03": [55, 67, 163, 566, 669, 1335, 1586, 1816, 2461, 2658],
│ │ │ │ │          "03125": [1585, 2491],
│ │ │ │ │          "0326911": [2335, 2378, 2425],
│ │ │ │ │          "0361": 2607,
│ │ │ │ │          "03703704": 1809,
│ │ │ │ │          "03943254e": 2104,
│ │ │ │ │          "03968254": [1113, 1543],
│ │ │ │ │          "0396842": 680,
│ │ │ │ │ @@ -32404,14 +32402,15 @@
│ │ │ │ │          "06369197489564249": 2458,
│ │ │ │ │          "06381726": 349,
│ │ │ │ │          "0660": [302, 2131],
│ │ │ │ │          "06959433e": [420, 947],
│ │ │ │ │          "07": [55, 164, 547, 896, 897, 1335, 2170, 2508],
│ │ │ │ │          "07106781e": 514,
│ │ │ │ │          "07407407": 1809,
│ │ │ │ │ +        "07717239": 2488,
│ │ │ │ │          "07779185": 2458,
│ │ │ │ │          "07937323": 524,
│ │ │ │ │          "07944154": [657, 2655],
│ │ │ │ │          "08": [55, 91, 147, 410, 523, 548, 896, 1095, 2322, 2366, 2413, 2525, 2659],
│ │ │ │ │          "0800": 2525,
│ │ │ │ │          "08187135": 54,
│ │ │ │ │          "08333333": [1645, 1871],
│ │ │ │ │ @@ -32564,15 +32563,15 @@
│ │ │ │ │          "1071": 2463,
│ │ │ │ │          "10725": 2537,
│ │ │ │ │          "10726": 2537,
│ │ │ │ │          "10727": 2537,
│ │ │ │ │          "10729": 2537,
│ │ │ │ │          "1073741821": [420, 421, 947, 948, 1923],
│ │ │ │ │          "1078": 2622,
│ │ │ │ │ -        "108": [524, 2463],
│ │ │ │ │ +        "108": [524, 2461, 2463],
│ │ │ │ │          "10862": 2538,
│ │ │ │ │          "10868": 2538,
│ │ │ │ │          "1088311": 2343,
│ │ │ │ │          "10898": 2542,
│ │ │ │ │          "109": [136, 523, 2463],
│ │ │ │ │          "10905": 2538,
│ │ │ │ │          "10941": 2328,
│ │ │ │ │ @@ -32777,15 +32776,14 @@
│ │ │ │ │          "13559": 2551,
│ │ │ │ │          "13560": 2551,
│ │ │ │ │          "13561": 2551,
│ │ │ │ │          "13562": 2551,
│ │ │ │ │          "13563": 2551,
│ │ │ │ │          "13564": 2551,
│ │ │ │ │          "13565": 2551,
│ │ │ │ │ -        "13571341": 2461,
│ │ │ │ │          "13578": 2576,
│ │ │ │ │          "13587": 2551,
│ │ │ │ │          "13605": 2560,
│ │ │ │ │          "13610": 2560,
│ │ │ │ │          "13620": 2551,
│ │ │ │ │          "13641": 2551,
│ │ │ │ │          "13644": 2551,
│ │ │ │ │ @@ -32804,15 +32802,14 @@
│ │ │ │ │          "13867": 2552,
│ │ │ │ │          "1387": 2612,
│ │ │ │ │          "13899": 2560,
│ │ │ │ │          "139": 655,
│ │ │ │ │          "13905": 2552,
│ │ │ │ │          "13933": 2552,
│ │ │ │ │          "13984": 2552,
│ │ │ │ │ -        "13990372": 2461,
│ │ │ │ │          "13994": 2552,
│ │ │ │ │          "13d7934": 13,
│ │ │ │ │          "13j": 1915,
│ │ │ │ │          "14": [9, 47, 54, 55, 56, 57, 58, 59, 98, 107, 108, 114, 140, 141, 142, 270, 366, 367, 375, 460, 476, 486, 530, 542, 544, 546, 566, 645, 661, 880, 893, 905, 963, 968, 969, 1069, 1083, 1143, 1229, 1247, 1312, 1466, 1577, 1695, 1704, 1711, 1758, 1764, 1867, 1873, 1986, 2086, 2089, 2115, 2168, 2205, 2206, 2208, 2209, 2210, 2222, 2224, 2225, 2237, 2240, 2246, 2333, 2342, 2377, 2385, 2424, 2432, 2457, 2461, 2463, 2490, 2513, 2519, 2531, 2542, 2543, 2544, 2545, 2546, 2547, 2553, 2554, 2559, 2560, 2561, 2566, 2572, 2576, 2583, 2584, 2585, 2586, 2588, 2591, 2596, 2599, 2600, 2622, 2627, 2635, 2638, 2641, 2645, 2653, 2657, 2659, 2666],
│ │ │ │ │          "140": [2238, 2576],
│ │ │ │ │          "14022471": [2387, 2434],
│ │ │ │ │          "14036": 2560,
│ │ │ │ │ @@ -32990,14 +32987,15 @@
│ │ │ │ │          "15067": 2559,
│ │ │ │ │          "15068": 2560,
│ │ │ │ │          "151": [2358, 2405, 2455, 2463],
│ │ │ │ │          "15113": 2560,
│ │ │ │ │          "15118": 2566,
│ │ │ │ │          "15119": 2566,
│ │ │ │ │          "15121": 2572,
│ │ │ │ │ +        "15133274": 2461,
│ │ │ │ │          "15158": 2561,
│ │ │ │ │          "15159": 2561,
│ │ │ │ │          "15161": 2561,
│ │ │ │ │          "15170": 2561,
│ │ │ │ │          "15172": 2553,
│ │ │ │ │          "15175": 2559,
│ │ │ │ │          "15176": 2561,
│ │ │ │ │ @@ -33135,15 +33133,15 @@
│ │ │ │ │          "166659832": [850, 1030],
│ │ │ │ │          "16666667": [1526, 1544, 1759, 1871],
│ │ │ │ │          "166670640": [850, 1030],
│ │ │ │ │          "166691080": [850, 1030],
│ │ │ │ │          "16672": 2567,
│ │ │ │ │          "16675": 2572,
│ │ │ │ │          "16693": 2567,
│ │ │ │ │ -        "167": [2461, 2463],
│ │ │ │ │ +        "167": 2463,
│ │ │ │ │          "16703": 2567,
│ │ │ │ │          "16705": 2567,
│ │ │ │ │          "16710": 2572,
│ │ │ │ │          "16714": 2567,
│ │ │ │ │          "1672": 2612,
│ │ │ │ │          "16724": 2567,
│ │ │ │ │          "16730": 2572,
│ │ │ │ │ @@ -33356,14 +33354,15 @@
│ │ │ │ │          "18924": 2575,
│ │ │ │ │          "18925": 2575,
│ │ │ │ │          "18934": 2576,
│ │ │ │ │          "18935": 2576,
│ │ │ │ │          "18941": 2575,
│ │ │ │ │          "18948": 2575,
│ │ │ │ │          "1895": 2611,
│ │ │ │ │ +        "18950113": 2461,
│ │ │ │ │          "18953": 2575,
│ │ │ │ │          "1896": [2340, 2383, 2430, 2611],
│ │ │ │ │          "18963": 2576,
│ │ │ │ │          "1899": 2612,
│ │ │ │ │          "18_446_744_073_709_551_615": 62,
│ │ │ │ │          "18e": 2086,
│ │ │ │ │          "19": [10, 47, 54, 55, 56, 58, 98, 163, 270, 281, 353, 364, 403, 438, 669, 880, 889, 1069, 1079, 1229, 1237, 1247, 1312, 1320, 1466, 1474, 1913, 1986, 1994, 2208, 2237, 2238, 2306, 2342, 2458, 2461, 2463, 2477, 2513, 2519, 2532, 2553, 2576, 2594, 2599, 2601, 2606, 2624, 2635, 2641, 2645, 2657, 2666],
│ │ │ │ │ @@ -33517,15 +33516,15 @@
│ │ │ │ │          "1l_0": 1822,
│ │ │ │ │          "1rc1": 577,
│ │ │ │ │          "1st": [36, 74, 642, 2616, 2637, 2641],
│ │ │ │ │          "1th": [661, 2168],
│ │ │ │ │          "1type": 2554,
│ │ │ │ │          "1xn": 2665,
│ │ │ │ │          "2": [0, 1, 2, 4, 5, 9, 12, 13, 14, 19, 20, 24, 25, 26, 29, 30, 31, 32, 34, 36, 37, 38, 43, 47, 48, 52, 53, 54, 55, 56, 58, 59, 60, 61, 62, 65, 66, 68, 69, 70, 72, 73, 74, 75, 76, 79, 86, 88, 89, 90, 95, 96, 97, 98, 99, 101, 102, 103, 104, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 163, 167, 168, 169, 170, 171, 176, 177, 184, 185, 186, 194, 196, 204, 210, 213, 214, 215, 227, 229, 234, 238, 239, 251, 261, 262, 263, 264, 270, 278, 280, 284, 287, 290, 293, 301, 303, 315, 316, 328, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 389, 390, 394, 396, 398, 400, 401, 404, 408, 409, 410, 411, 412, 413, 415, 416, 417, 418, 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│ │ │ │ │ -        "20": [0, 22, 24, 32, 38, 47, 54, 55, 57, 58, 59, 60, 74, 78, 90, 95, 98, 99, 113, 120, 121, 123, 124, 137, 141, 143, 160, 163, 270, 287, 336, 341, 342, 349, 354, 356, 358, 371, 420, 436, 438, 439, 441, 443, 444, 445, 446, 448, 449, 450, 451, 452, 453, 454, 455, 480, 481, 482, 483, 486, 487, 489, 513, 527, 534, 540, 548, 567, 568, 569, 570, 628, 653, 661, 667, 669, 820, 848, 851, 855, 857, 860, 864, 866, 870, 880, 893, 896, 897, 900, 901, 905, 906, 912, 913, 917, 933, 937, 940, 941, 947, 951, 956, 958, 965, 967, 977, 985, 986, 990, 1019, 1024, 1025, 1026, 1031, 1038, 1040, 1044, 1049, 1051, 1056, 1069, 1083, 1088, 1089, 1094, 1097, 1100, 1101, 1106, 1109, 1114, 1117, 1118, 1123, 1124, 1131, 1143, 1145, 1146, 1229, 1241, 1247, 1312, 1324, 1466, 1478, 1482, 1516, 1808, 1867, 1871, 1906, 1986, 1998, 2073, 2089, 2115, 2165, 2168, 2172, 2174, 2203, 2204, 2208, 2223, 2224, 2237, 2238, 2240, 2249, 2256, 2257, 2270, 2300, 2316, 2319, 2321, 2323, 2328, 2333, 2337, 2338, 2342, 2348, 2361, 2365, 2377, 2380, 2381, 2383, 2388, 2390, 2408, 2412, 2424, 2427, 2428, 2430, 2435, 2438, 2462, 2463, 2470, 2513, 2517, 2519, 2533, 2535, 2542, 2560, 2571, 2576, 2577, 2583, 2584, 2594, 2599, 2602, 2603, 2608, 2622, 2627, 2635, 2637, 2641, 2642, 2645, 2657, 2658, 2666],
│ │ │ │ │ +        "20": [0, 22, 24, 32, 38, 47, 54, 55, 57, 58, 59, 60, 74, 78, 90, 95, 98, 99, 113, 120, 121, 123, 124, 137, 141, 143, 160, 163, 270, 287, 336, 341, 342, 349, 354, 356, 358, 371, 420, 436, 438, 439, 441, 443, 444, 445, 446, 448, 449, 450, 451, 452, 453, 454, 455, 480, 481, 482, 483, 486, 487, 489, 513, 527, 534, 540, 548, 567, 568, 569, 570, 628, 653, 661, 667, 669, 820, 848, 851, 855, 857, 860, 864, 866, 870, 880, 893, 896, 897, 900, 901, 905, 906, 912, 913, 917, 933, 937, 940, 941, 947, 951, 956, 958, 965, 967, 977, 985, 986, 990, 1019, 1024, 1025, 1026, 1031, 1038, 1040, 1044, 1049, 1051, 1056, 1069, 1083, 1088, 1089, 1094, 1097, 1100, 1101, 1106, 1109, 1114, 1117, 1118, 1123, 1124, 1131, 1143, 1145, 1146, 1229, 1241, 1247, 1312, 1324, 1466, 1478, 1482, 1516, 1808, 1867, 1871, 1906, 1986, 1998, 2073, 2089, 2115, 2165, 2168, 2172, 2174, 2203, 2204, 2208, 2223, 2224, 2237, 2238, 2240, 2249, 2256, 2257, 2270, 2300, 2316, 2319, 2321, 2323, 2328, 2333, 2337, 2338, 2342, 2348, 2361, 2365, 2377, 2380, 2381, 2383, 2388, 2390, 2408, 2412, 2424, 2427, 2428, 2430, 2435, 2438, 2461, 2462, 2463, 2470, 2513, 2517, 2519, 2533, 2535, 2542, 2560, 2571, 2576, 2577, 2583, 2584, 2594, 2599, 2602, 2603, 2608, 2622, 2627, 2635, 2637, 2641, 2642, 2645, 2657, 2658, 2666],
│ │ │ │ │          "200": [441, 446, 2337, 2339, 2346, 2354, 2357, 2380, 2382, 2392, 2401, 2404, 2427, 2429, 2441, 2451, 2454, 2645, 2648, 2666],
│ │ │ │ │          "2000": [514, 526, 2525, 2613],
│ │ │ │ │          "20000": [2316, 2359, 2361, 2406, 2408, 2456, 2583],
│ │ │ │ │          "2000000": 2635,
│ │ │ │ │          "20000000e": 897,
│ │ │ │ │          "2001": [55, 2322, 2326, 2329, 2330, 2331, 2335, 2339, 2340, 2366, 2371, 2373, 2374, 2375, 2378, 2382, 2383, 2413, 2418, 2420, 2421, 2422, 2425, 2429, 2430],
│ │ │ │ │          "2002": [55, 360, 2316, 2323, 2353, 2361, 2367, 2400, 2408, 2414, 2450],
│ │ │ │ │ @@ -33668,15 +33667,15 @@
│ │ │ │ │          "20985": 2585,
│ │ │ │ │          "20986": 2585,
│ │ │ │ │          "20992": 2585,
│ │ │ │ │          "20993": 2588,
│ │ │ │ │          "20_ver": 0,
│ │ │ │ │          "20count": 141,
│ │ │ │ │          "20d03bcfd": 0,
│ │ │ │ │ -        "21": [21, 26, 28, 30, 31, 40, 47, 54, 55, 58, 74, 98, 162, 163, 270, 336, 357, 359, 377, 388, 396, 403, 476, 477, 628, 661, 669, 880, 905, 944, 1069, 1229, 1312, 1466, 1869, 1881, 1986, 2091, 2168, 2172, 2208, 2225, 2230, 2237, 2238, 2342, 2343, 2461, 2463, 2513, 2515, 2517, 2519, 2567, 2568, 2572, 2583, 2585, 2588, 2594, 2627, 2628, 2632, 2635, 2637, 2641, 2642, 2649, 2654, 2657, 2665, 2666, 2668],
│ │ │ │ │ +        "21": [21, 26, 28, 30, 31, 40, 47, 54, 55, 58, 74, 98, 162, 163, 270, 336, 357, 359, 377, 388, 396, 403, 476, 477, 628, 661, 669, 880, 905, 944, 1069, 1229, 1312, 1466, 1869, 1881, 1986, 2091, 2168, 2172, 2208, 2225, 2230, 2237, 2238, 2342, 2343, 2463, 2513, 2515, 2517, 2519, 2567, 2568, 2572, 2583, 2585, 2588, 2594, 2627, 2628, 2632, 2635, 2637, 2641, 2642, 2649, 2654, 2657, 2665, 2666, 2668],
│ │ │ │ │          "210": 363,
│ │ │ │ │          "21001": 2588,
│ │ │ │ │          "21029": 2588,
│ │ │ │ │          "210306068529402873165736369884012333109": [2275, 2280],
│ │ │ │ │          "21048": 2586,
│ │ │ │ │          "211": 2491,
│ │ │ │ │          "21106": 2586,
│ │ │ │ │ @@ -33924,15 +33923,14 @@
│ │ │ │ │          "23148": 2596,
│ │ │ │ │          "23149": 2596,
│ │ │ │ │          "23150": 2596,
│ │ │ │ │          "23161": 2596,
│ │ │ │ │          "2317": 2620,
│ │ │ │ │          "23194": 2597,
│ │ │ │ │          "23195": 2599,
│ │ │ │ │ -        "232": 2461,
│ │ │ │ │          "23204345": [2345, 2391, 2439],
│ │ │ │ │          "23206": 2597,
│ │ │ │ │          "23207": 2597,
│ │ │ │ │          "23208": 2597,
│ │ │ │ │          "23221": 2597,
│ │ │ │ │          "23226": 2597,
│ │ │ │ │          "23229": 2599,
│ │ │ │ │ @@ -33985,15 +33983,14 @@
│ │ │ │ │          "23809": 2622,
│ │ │ │ │          "23830": 2622,
│ │ │ │ │          "23847": 2622,
│ │ │ │ │          "2385": 2617,
│ │ │ │ │          "23861": 2622,
│ │ │ │ │          "23871": 2622,
│ │ │ │ │          "23890": 2598,
│ │ │ │ │ -        "239": 2461,
│ │ │ │ │          "23919": 2622,
│ │ │ │ │          "23921": 2622,
│ │ │ │ │          "23922": 2622,
│ │ │ │ │          "23936": 2622,
│ │ │ │ │          "2394691": 2312,
│ │ │ │ │          "23968": 2600,
│ │ │ │ │          "23994": 2598,
│ │ │ │ │ @@ -34652,15 +34649,15 @@
│ │ │ │ │          "2nd": [513, 641, 642, 655, 658, 669, 1526, 2335, 2378, 2425, 2637, 2641, 2666],
│ │ │ │ │          "2to3": 2616,
│ │ │ │ │          "2x": [1527, 1542, 2357, 2404, 2454, 2488, 2491, 2616, 2619],
│ │ │ │ │          "2x2": 47,
│ │ │ │ │          "2x3": [47, 72, 2665],
│ │ │ │ │          "2x3x5": 336,
│ │ │ │ │          "3": [1, 2, 5, 10, 11, 12, 14, 20, 24, 26, 29, 30, 31, 32, 34, 36, 37, 38, 42, 47, 50, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 66, 70, 72, 74, 76, 78, 79, 87, 89, 94, 96, 97, 98, 99, 100, 105, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 121, 123, 124, 127, 128, 130, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 143, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 167, 169, 171, 176, 177, 185, 186, 194, 196, 204, 210, 213, 214, 227, 229, 234, 238, 239, 251, 260, 261, 262, 263, 264, 270, 278, 280, 284, 287, 290, 312, 316, 318, 322, 323, 333, 335, 336, 337, 338, 340, 341, 342, 345, 346, 347, 348, 349, 350, 351, 353, 354, 355, 356, 357, 358, 359, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 396, 398, 401, 404, 408, 409, 410, 416, 417, 420, 421, 422, 423, 432, 435, 436, 440, 441, 442, 443, 447, 448, 450, 451, 454, 456, 460, 461, 463, 464, 465, 466, 467, 468, 469, 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│ │ │ │ │ -        "30": [28, 41, 42, 54, 55, 57, 58, 63, 263, 336, 355, 360, 363, 409, 454, 484, 533, 864, 875, 977, 1049, 1064, 1113, 1117, 1118, 1225, 1308, 1462, 1543, 1638, 1906, 1911, 1982, 2089, 2103, 2115, 2165, 2204, 2216, 2224, 2241, 2316, 2319, 2322, 2323, 2325, 2326, 2329, 2339, 2340, 2344, 2371, 2373, 2382, 2383, 2386, 2394, 2418, 2420, 2429, 2430, 2433, 2444, 2461, 2463, 2513, 2531, 2587, 2608, 2637, 2641, 2645, 2657, 2666],
│ │ │ │ │ +        "30": [28, 41, 42, 54, 55, 57, 58, 63, 263, 336, 355, 360, 363, 409, 454, 484, 533, 864, 875, 977, 1049, 1064, 1113, 1117, 1118, 1225, 1308, 1462, 1543, 1638, 1906, 1911, 1982, 2089, 2103, 2115, 2165, 2204, 2216, 2224, 2241, 2316, 2319, 2322, 2323, 2325, 2326, 2329, 2339, 2340, 2344, 2371, 2373, 2382, 2383, 2386, 2394, 2418, 2420, 2429, 2430, 2433, 2444, 2463, 2513, 2531, 2587, 2608, 2637, 2641, 2645, 2657, 2666],
│ │ │ │ │          "300": [66, 363, 2238, 2576, 2645],
│ │ │ │ │          "3000": 2594,
│ │ │ │ │          "30000": 533,
│ │ │ │ │          "3000488281": 476,
│ │ │ │ │          "3003003": 1999,
│ │ │ │ │          "3006": 2614,
│ │ │ │ │          "3007": 2614,
│ │ │ │ │ @@ -34713,24 +34710,24 @@
│ │ │ │ │          "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,
│ │ │ │ │ -        "32971054": 2461,
│ │ │ │ │          "32_767": 62,
│ │ │ │ │          "32_768": 62,
│ │ │ │ │          "32bit": [50, 61, 62, 2364, 2377, 2379, 2388, 2411, 2424, 2426, 2435, 2517, 2572, 2589],
│ │ │ │ │          "32x": 2583,
│ │ │ │ │ -        "33": [54, 58, 144, 336, 838, 939, 941, 1010, 1907, 1922, 1999, 2173, 2175, 2176, 2208, 2303, 2461, 2513, 2621, 2637, 2641, 2657, 2666],
│ │ │ │ │ +        "33": [54, 58, 144, 336, 838, 939, 941, 1010, 1907, 1922, 1999, 2173, 2175, 2176, 2208, 2303, 2513, 2621, 2637, 2641, 2657, 2666],
│ │ │ │ │          "330": 363,
│ │ │ │ │          "3301": 2615,
│ │ │ │ │          "330m": 409,
│ │ │ │ │          "3312": 2615,
│ │ │ │ │ +        "33149017": 2488,
│ │ │ │ │          "3324": [13, 2615],
│ │ │ │ │          "333": [652, 950, 2173],
│ │ │ │ │          "33333": [2173, 2175],
│ │ │ │ │          "33333333": [1335, 1544, 1702, 1750, 1771, 1812, 1816, 1818, 1819, 1863, 1865, 2491, 2645],
│ │ │ │ │          "333333333": 2171,
│ │ │ │ │          "3333333333333": 2171,
│ │ │ │ │          "33333334": 2171,
│ │ │ │ │ @@ -34780,15 +34777,16 @@
│ │ │ │ │          "3628523": 2458,
│ │ │ │ │          "36363636": 136,
│ │ │ │ │          "3644j": [415, 621],
│ │ │ │ │          "365": [544, 1344, 1346, 1522, 1908],
│ │ │ │ │          "366": 55,
│ │ │ │ │          "36674": 2098,
│ │ │ │ │          "36787944": [1660, 1774],
│ │ │ │ │ -        "37": [59, 60, 136, 1913, 2083, 2204, 2236, 2463, 2641, 2657, 2666],
│ │ │ │ │ +        "36919815": 2461,
│ │ │ │ │ +        "37": [59, 60, 136, 1913, 2083, 2204, 2236, 2461, 2463, 2641, 2657, 2666],
│ │ │ │ │          "370": 652,
│ │ │ │ │          "3701": 2615,
│ │ │ │ │          "37079802": [349, 2639],
│ │ │ │ │          "3712": 2615,
│ │ │ │ │          "3728": 2615,
│ │ │ │ │          "3728973198": 2594,
│ │ │ │ │          "3743": 2615,
│ │ │ │ │ @@ -34858,15 +34856,15 @@
│ │ │ │ │          "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, 2585, 2657, 2666],
│ │ │ │ │ +        "41": [941, 1114, 1123, 1124, 1131, 1913, 2104, 2107, 2208, 2236, 2461, 2585, 2657, 2666],
│ │ │ │ │          "4109": 2617,
│ │ │ │ │          "41211849": 2666,
│ │ │ │ │          "4123": [2615, 2617],
│ │ │ │ │          "4134": 2617,
│ │ │ │ │          "41357986e": 2175,
│ │ │ │ │          "4138": 2617,
│ │ │ │ │          "4141": 2615,
│ │ │ │ │ @@ -34882,15 +34880,15 @@
│ │ │ │ │          "4167": 1643,
│ │ │ │ │          "4170": 2617,
│ │ │ │ │          "4176": 2617,
│ │ │ │ │          "4181": [28, 2621],
│ │ │ │ │          "4187": 2617,
│ │ │ │ │          "4191": 2617,
│ │ │ │ │          "4197": 2617,
│ │ │ │ │ -        "42": [31, 58, 63, 147, 349, 669, 896, 897, 974, 1029, 2090, 2208, 2256, 2332, 2376, 2423, 2457, 2461, 2566, 2605, 2622, 2635, 2639, 2657, 2664, 2665, 2666],
│ │ │ │ │ +        "42": [31, 58, 63, 147, 349, 669, 896, 897, 974, 1029, 2090, 2208, 2256, 2332, 2376, 2423, 2457, 2566, 2605, 2622, 2635, 2639, 2657, 2664, 2665, 2666],
│ │ │ │ │          "420": [2238, 2576],
│ │ │ │ │          "42016704": 2666,
│ │ │ │ │          "4206": 2617,
│ │ │ │ │          "4220": 2617,
│ │ │ │ │          "4223": 2617,
│ │ │ │ │          "4225": 2617,
│ │ │ │ │          "423": 55,
│ │ │ │ │ @@ -34906,15 +34904,15 @@
│ │ │ │ │          "42667924": 1154,
│ │ │ │ │          "4267": 2617,
│ │ │ │ │          "4270": 2617,
│ │ │ │ │          "4276": 2617,
│ │ │ │ │          "429": 136,
│ │ │ │ │          "4294967293": 2639,
│ │ │ │ │          "4294967296": [196, 836, 1008, 1179, 1266, 1421, 1940],
│ │ │ │ │ -        "43": [2208, 2583, 2635, 2641, 2657, 2666],
│ │ │ │ │ +        "43": [2208, 2461, 2583, 2635, 2641, 2657, 2666],
│ │ │ │ │          "430148": 2635,
│ │ │ │ │          "43014843": 2635,
│ │ │ │ │          "43181166": 2458,
│ │ │ │ │          "4354": 2617,
│ │ │ │ │          "4359": 2617,
│ │ │ │ │          "4368": [287, 1241, 1324, 1478, 1998],
│ │ │ │ │          "4375": 2491,
│ │ │ │ │ @@ -34941,29 +34939,29 @@
│ │ │ │ │          "4476": 2621,
│ │ │ │ │          "4483": 2617,
│ │ │ │ │          "4485": 2617,
│ │ │ │ │          "4486": 2617,
│ │ │ │ │          "449294e": 2170,
│ │ │ │ │          "44948974": 2659,
│ │ │ │ │          "44999999925494177": 2115,
│ │ │ │ │ -        "45": [12, 18, 38, 58, 94, 105, 130, 339, 666, 851, 866, 944, 1025, 1026, 1031, 1051, 1212, 1882, 1886, 2103, 2204, 2637, 2644, 2657, 2666],
│ │ │ │ │ +        "45": [12, 18, 38, 58, 94, 105, 130, 339, 666, 851, 866, 944, 1025, 1026, 1031, 1051, 1212, 1882, 1886, 2103, 2204, 2461, 2637, 2644, 2657, 2666],
│ │ │ │ │          "450": 55,
│ │ │ │ │          "45000005": 2115,
│ │ │ │ │          "45038594": [349, 2639],
│ │ │ │ │          "45053314": 2635,
│ │ │ │ │          "4511316": 2666,
│ │ │ │ │          "4520525295346629": 1228,
│ │ │ │ │          "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,
│ │ │ │ │ @@ -34992,14 +34990,15 @@
│ │ │ │ │          "4733": 2618,
│ │ │ │ │          "47458546": 349,
│ │ │ │ │          "47536961": 349,
│ │ │ │ │          "47613949": [2335, 2378, 2425],
│ │ │ │ │          "4774": 2618,
│ │ │ │ │          "479": 2620,
│ │ │ │ │          "4796": [409, 661, 2168],
│ │ │ │ │ +        "47996042": 2461,
│ │ │ │ │          "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],
│ │ │ │ │ @@ -35067,14 +35066,15 @@
│ │ │ │ │          "5136": 2620,
│ │ │ │ │          "5138": 2620,
│ │ │ │ │          "514229": 28,
│ │ │ │ │          "5147": 2620,
│ │ │ │ │          "5148": 2620,
│ │ │ │ │          "51506735": 1822,
│ │ │ │ │          "5155": 2621,
│ │ │ │ │ +        "51578556": 2488,
│ │ │ │ │          "5162": [409, 661, 2168],
│ │ │ │ │          "5163": 2620,
│ │ │ │ │          "51640373": 2458,
│ │ │ │ │          "51658839e": 1586,
│ │ │ │ │          "517": 10,
│ │ │ │ │          "5170": 2620,
│ │ │ │ │          "5184": 2620,
│ │ │ │ │ @@ -35089,15 +35089,15 @@
│ │ │ │ │          "52359878": 1911,
│ │ │ │ │          "52380952e": 1816,
│ │ │ │ │          "5240": 2620,
│ │ │ │ │          "5251": 2620,
│ │ │ │ │          "526": 2463,
│ │ │ │ │          "5260": [2353, 2400, 2450],
│ │ │ │ │          "5271": 42,
│ │ │ │ │ -        "53": [162, 457, 1638, 2208, 2461, 2551, 2554, 2657, 2666],
│ │ │ │ │ +        "53": [162, 457, 1638, 2208, 2551, 2554, 2657, 2666],
│ │ │ │ │          "5306": [409, 661, 2168],
│ │ │ │ │          "5313": 2621,
│ │ │ │ │          "5316": 2621,
│ │ │ │ │          "5324j": [416, 417, 622, 623],
│ │ │ │ │          "5354": 2621,
│ │ │ │ │          "5359": 2621,
│ │ │ │ │          "5363922081269535": 2458,
│ │ │ │ │ @@ -35145,42 +35145,42 @@
│ │ │ │ │          "5612": 2621,
│ │ │ │ │          "5614": 2522,
│ │ │ │ │          "562": [680, 2659],
│ │ │ │ │          "5620499351813308": 86,
│ │ │ │ │          "5625": 2491,
│ │ │ │ │          "56294995342131": 2083,
│ │ │ │ │          "5640": [2353, 2400, 2450],
│ │ │ │ │ +        "5662515": 2461,
│ │ │ │ │          "567": 2644,
│ │ │ │ │          "56826729e": 2104,
│ │ │ │ │          "56917101": 2635,
│ │ │ │ │ -        "56917848": 2488,
│ │ │ │ │          "57": [58, 669, 2204, 2322, 2366, 2413, 2463, 2491, 2637, 2657],
│ │ │ │ │          "5707963267948966": [102, 125],
│ │ │ │ │          "57079633": [94, 105, 130, 1911, 2238, 2666],
│ │ │ │ │          "5708": [412, 618],
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│ │ │ │ │          "57136612e": 2173,
│ │ │ │ │          "57510612": 660,
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│ │ │ │ │          "57721": [2326, 2371, 2418],
│ │ │ │ │          "5772156649015328606065120900824024310421": 76,
│ │ │ │ │          "5773": 2522,
│ │ │ │ │          "57860025": 1154,
│ │ │ │ │ +        "57912993": 2461,
│ │ │ │ │          "579365079365115": [1113, 1543],
│ │ │ │ │          "57x": 2594,
│ │ │ │ │          "58": [669, 1748, 1777, 2204, 2208, 2332, 2376, 2423, 2464, 2572, 2635, 2657],
│ │ │ │ │          "582892": 2635,
│ │ │ │ │          "58289208": 2635,
│ │ │ │ │          "584388": 55,
│ │ │ │ │          "585": [378, 1358, 1514, 2583],
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│ │ │ │ │          "58826587": 349,
│ │ │ │ │          "59": [55, 2208, 2602, 2657],
│ │ │ │ │          "5910": [287, 1241, 1324, 1478, 1998],
│ │ │ │ │ -        "59274352": 2488,
│ │ │ │ │          "595726": 2635,
│ │ │ │ │          "59572603": 2635,
│ │ │ │ │          "5969": [99, 906],
│ │ │ │ │          "598150": 2642,
│ │ │ │ │          "59815003": 38,
│ │ │ │ │          "5982": 2642,
│ │ │ │ │          "59903635e": 147,
│ │ │ │ │ @@ -35195,21 +35195,22 @@
│ │ │ │ │          "6": [0, 2, 10, 22, 32, 36, 38, 47, 55, 56, 57, 58, 59, 60, 61, 63, 66, 72, 76, 89, 96, 97, 98, 99, 107, 108, 111, 117, 118, 132, 135, 137, 139, 141, 144, 146, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 160, 167, 171, 194, 213, 227, 234, 262, 270, 287, 315, 337, 339, 340, 341, 342, 348, 351, 355, 356, 357, 358, 359, 363, 364, 365, 366, 367, 369, 370, 371, 374, 375, 391, 399, 408, 409, 420, 421, 422, 435, 440, 443, 454, 456, 461, 463, 464, 465, 467, 470, 478, 480, 483, 488, 489, 514, 520, 527, 528, 529, 530, 531, 538, 539, 540, 541, 542, 543, 544, 545, 553, 554, 565, 566, 567, 568, 569, 573, 574, 575, 584, 608, 628, 638, 640, 642, 644, 645, 648, 651, 653, 655, 656, 659, 660, 661, 662, 664, 665, 666, 667, 668, 680, 822, 830, 834, 835, 851, 853, 860, 863, 864, 865, 873, 880, 881, 883, 886, 887, 888, 893, 903, 904, 906, 907, 911, 912, 913, 914, 917, 919, 920, 921, 926, 927, 932, 935, 936, 943, 944, 947, 948, 950, 952, 953, 956, 957, 963, 964, 967, 968, 969, 976, 992, 1002, 1006, 1007, 1025, 1031, 1033, 1044, 1048, 1049, 1050, 1061, 1069, 1070, 1072, 1076, 1077, 1078, 1083, 1100, 1103, 1104, 1105, 1106, 1108, 1110, 1113, 1116, 1119, 1128, 1129, 1133, 1135, 1140, 1143, 1144, 1145, 1147, 1148, 1149, 1154, 1155, 1159, 1160, 1161, 1164, 1166, 1167, 1178, 1191, 1193, 1194, 1195, 1200, 1203, 1204, 1205, 1206, 1212, 1213, 1224, 1228, 1229, 1236, 1240, 1241, 1242, 1243, 1244, 1248, 1249, 1265, 1278, 1283, 1286, 1307, 1312, 1324, 1326, 1327, 1338, 1339, 1342, 1344, 1345, 1346, 1420, 1433, 1437, 1440, 1461, 1466, 1478, 1480, 1483, 1510, 1512, 1517, 1520, 1521, 1522, 1524, 1525, 1527, 1540, 1541, 1543, 1544, 1588, 1635, 1638, 1643, 1644, 1647, 1648, 1655, 1656, 1692, 1695, 1704, 1749, 1758, 1765, 1770, 1808, 1816, 1818, 1864, 1867, 1869, 1870, 1871, 1880, 1881, 1882, 1883, 1885, 1889, 1890, 1891, 1899, 1900, 1904, 1907, 1908, 1909, 1912, 1913, 1914, 1916, 1922, 1939, 1953, 1957, 1960, 1981, 1986, 1998, 2073, 2074, 2079, 2080, 2082, 2083, 2085, 2087, 2090, 2093, 2097, 2098, 2101, 2104, 2106, 2108, 2110, 2114, 2116, 2123, 2143, 2161, 2162, 2163, 2164, 2168, 2171, 2173, 2178, 2200, 2202, 2204, 2205, 2206, 2208, 2209, 2210, 2216, 2223, 2224, 2225, 2229, 2230, 2236, 2237, 2238, 2240, 2241, 2242, 2244, 2246, 2247, 2248, 2250, 2251, 2257, 2270, 2311, 2320, 2326, 2328, 2332, 2333, 2334, 2335, 2336, 2341, 2342, 2347, 2364, 2371, 2376, 2377, 2378, 2379, 2384, 2388, 2390, 2395, 2411, 2418, 2423, 2424, 2425, 2426, 2431, 2435, 2438, 2445, 2457, 2458, 2460, 2461, 2463, 2488, 2491, 2513, 2519, 2520, 2521, 2522, 2525, 2526, 2527, 2528, 2529, 2530, 2532, 2533, 2534, 2535, 2536, 2537, 2538, 2539, 2540, 2542, 2559, 2563, 2564, 2566, 2567, 2568, 2569, 2570, 2571, 2572, 2591, 2597, 2598, 2599, 2600, 2602, 2609, 2613, 2616, 2617, 2619, 2622, 2629, 2635, 2637, 2638, 2641, 2642, 2644, 2645, 2648, 2649, 2657, 2658, 2659, 2665, 2666],
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│ │ │ │ │ +        "60638863": 2461,
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│ │ │ │ │          "609": 2583,
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│ │ │ │ │          "60x": 2599,
│ │ │ │ │ -        "61": [13, 2657],
│ │ │ │ │ +        "61": [13, 2461, 2657],
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│ │ │ │ │          "6176": [99, 906],
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│ │ │ │ │          "618": 669,
│ │ │ │ │ @@ -35276,15 +35277,14 @@
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│ │ │ │ │          "6546": 2522,
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│ │ │ │ │          "65522": [142, 546],
│ │ │ │ │ -        "6552592": 2461,
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│ │ │ │ │          "65535": [584, 2619, 2622],
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│ │ │ │ │          "6562": 2522,
│ │ │ │ │          "6563": 2522,
│ │ │ │ │          "6566128774142013e": 653,
│ │ │ │ │ @@ -35518,21 +35518,19 @@
│ │ │ │ │          "78497f4": 2521,
│ │ │ │ │          "7851": 2527,
│ │ │ │ │          "78539816": [94, 104, 105, 129, 130, 2238],
│ │ │ │ │          "78539816339744828": [104, 129],
│ │ │ │ │          "7854j": [413, 619],
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│ │ │ │ │          "78606431": [349, 2457, 2639],
│ │ │ │ │ -        "7861685": 2461,
│ │ │ │ │          "789": 2644,
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│ │ │ │ │          "79": [13, 87, 100, 104, 129, 2657],
│ │ │ │ │          "79033856e": 1149,
│ │ │ │ │          "7904": 2527,
│ │ │ │ │ -        "791": 2461,
│ │ │ │ │          "7917": 2527,
│ │ │ │ │          "7919": 2527,
│ │ │ │ │          "7920": [1212, 2527],
│ │ │ │ │          "7932": 2527,
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│ │ │ │ │          "79479508": [2345, 2391, 2439],
│ │ │ │ │          "795": 650,
│ │ │ │ │ @@ -35599,15 +35597,17 @@
│ │ │ │ │          "84090247": 2458,
│ │ │ │ │          "84123594": 523,
│ │ │ │ │          "84147098": 2666,
│ │ │ │ │          "8414709848078965": 2640,
│ │ │ │ │          "84147098j": 2666,
│ │ │ │ │          "841471": 2642,
│ │ │ │ │          "842523": 2515,
│ │ │ │ │ +        "846": 2461,
│ │ │ │ │          "84680802e": 2104,
│ │ │ │ │ +        "84727573": 2488,
│ │ │ │ │          "8480354764257312": 653,
│ │ │ │ │          "85": [409, 2657],
│ │ │ │ │          "85099543": 1822,
│ │ │ │ │          "85355339": 1756,
│ │ │ │ │          "85569": 2098,
│ │ │ │ │          "85602287": [2335, 2378, 2425],
│ │ │ │ │          "857": 410,
│ │ │ │ │ @@ -35634,26 +35634,24 @@
│ │ │ │ │          "88": [408, 2462, 2463, 2657, 2659, 2668],
│ │ │ │ │          "8801": [99, 906],
│ │ │ │ │          "88031624": 2666,
│ │ │ │ │          "88079259": 533,
│ │ │ │ │          "881943016134134": 666,
│ │ │ │ │          "88622693": 1642,
│ │ │ │ │          "888": [2514, 2658],
│ │ │ │ │ -        "88856232": 2461,
│ │ │ │ │          "8888": 2658,
│ │ │ │ │          "88889": 2658,
│ │ │ │ │          "888e": 2658,
│ │ │ │ │          "88975": 1644,
│ │ │ │ │          "89": [28, 2091, 2644, 2657],
│ │ │ │ │          "890": 2644,
│ │ │ │ │          "8900451": 1154,
│ │ │ │ │          "89086505": [2352, 2399, 2449],
│ │ │ │ │          "89206682e": 2104,
│ │ │ │ │          "8922078": 2458,
│ │ │ │ │ -        "89412556": 2488,
│ │ │ │ │          "89442719": 642,
│ │ │ │ │          "89442719j": 642,
│ │ │ │ │          "89721355": 349,
│ │ │ │ │          "89804309e": 2104,
│ │ │ │ │          "89920014": [2319, 2363, 2410],
│ │ │ │ │          "8999999999999999": 2107,
│ │ │ │ │          "8b2": 2554,
│ │ │ │ │ @@ -35661,15 +35659,14 @@
│ │ │ │ │          "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],
│ │ │ │ │ -        "90031769": 2461,
│ │ │ │ │          "90384387e": 2104,
│ │ │ │ │          "90476190e": 1816,
│ │ │ │ │          "90909091": 136,
│ │ │ │ │          "909297": 2642,
│ │ │ │ │          "90929743": 2666,
│ │ │ │ │          "91": 2657,
│ │ │ │ │          "91275558": 2635,
│ │ │ │ │ @@ -35711,15 +35708,14 @@
│ │ │ │ │          "9378": 2532,
│ │ │ │ │          "9379": 2532,
│ │ │ │ │          "9390": [2533, 2534],
│ │ │ │ │          "94": [409, 669, 2635, 2657],
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│ │ │ │ │          "94125714": 2635,
│ │ │ │ │ -        "942": 2461,
│ │ │ │ │          "94708397920832": 2642,
│ │ │ │ │          "9475673279178444": 2348,
│ │ │ │ │          "94864945": 2666,
│ │ │ │ │          "94909878": [2387, 2434],
│ │ │ │ │          "95": [37, 39, 646, 2353, 2400, 2450, 2635, 2654, 2657],
│ │ │ │ │          "9504637": 2666,
│ │ │ │ │          "950684": 2635,
│ │ │ │ │ @@ -35761,14 +35757,15 @@
│ │ │ │ │          "9765": [2533, 2534],
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│ │ │ │ │          "9767": [2533, 2534],
│ │ │ │ │          "9771": [2533, 2534],
│ │ │ │ │          "97719": 1644,
│ │ │ │ │          "9772": 2534,
│ │ │ │ │          "9794": 2534,
│ │ │ │ │ +        "97956739": 2461,
│ │ │ │ │          "9797": 2666,
│ │ │ │ │          "97974649": 524,
│ │ │ │ │          "9798": 2666,
│ │ │ │ │          "9799": 2666,
│ │ │ │ │          "98": [481, 647, 1157, 2635, 2657, 2666],
│ │ │ │ │          "9800": 2666,
│ │ │ │ │          "9801": 2666,
│ │ │ │ │ @@ -35779,15 +35776,15 @@
│ │ │ │ │          "98136677": 523,
│ │ │ │ │          "987": 28,
│ │ │ │ │          "987654321": 2393,
│ │ │ │ │          "98935825": 2666,
│ │ │ │ │          "9897": 2666,
│ │ │ │ │          "9898": 2666,
│ │ │ │ │          "9899": [105, 130, 2666],
│ │ │ │ │ -        "99": [12, 302, 408, 544, 672, 1096, 1906, 2131, 2460, 2635, 2657, 2658, 2666],
│ │ │ │ │ +        "99": [12, 302, 408, 544, 672, 1096, 1906, 2131, 2460, 2461, 2635, 2657, 2658, 2666],
│ │ │ │ │          "9900": 2666,
│ │ │ │ │          "99004057": 349,
│ │ │ │ │          "9901": 2666,
│ │ │ │ │          "9902": 2666,
│ │ │ │ │          "990278": 2635,
│ │ │ │ │          "99027828": 2635,
│ │ │ │ │          "99060736": 2666,