--- /srv/reproducible-results/rbuild-debian/r-b-build.8vI4F0wx/b1/numpy_2.2.4+ds-1.2_amd64.changes
+++ /srv/reproducible-results/rbuild-debian/r-b-build.8vI4F0wx/b2/numpy_2.2.4+ds-1.2_amd64.changes
├── Files
│ @@ -1,5 +1,5 @@
│  
│ - c5980280c4302a676996029ca9618d45 5808188 doc optional python-numpy-doc_2.2.4+ds-1.2_all.deb
│ + eecc74da1e1979d051159f53c3c7701b 5808128 doc optional python-numpy-doc_2.2.4+ds-1.2_all.deb
│   398bc5a3401b99cc117d6732c6434fbf 30830248 debug optional python3-numpy-dbgsym_2.2.4+ds-1.2_amd64.deb
│   c0301244eb2d63ca518802b4782b285f 138800 python optional python3-numpy-dev_2.2.4+ds-1.2_amd64.deb
│   0cb2ebcef677e65e7c785a165e572bb9 5097332 python optional python3-numpy_2.2.4+ds-1.2_amd64.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    64948 2025-09-05 09:56:25.000000 control.tar.xz
│ │ --rw-r--r--   0        0        0  5743048 2025-09-05 09:56:25.000000 data.tar.xz
│ │ +-rw-r--r--   0        0        0    64944 2025-09-05 09:56:25.000000 control.tar.xz
│ │ +-rw-r--r--   0        0        0  5742992 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)    44354 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)    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)    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)    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)  2368728 2025-09-05 09:56:25.000000 ./usr/share/doc/python-numpy/html/searchindex.js
│ │ │ │ +-rw-r--r--   0 root         (0) root         (0)  2368711 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">1.39 ms +- 52.3 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ -<span class="go">2.55 ms +- 334 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">1.48 ms +- 31.1 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">2.85 ms +- 16.6 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">651 us +- 126 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ -<span class="go">1.44 ms +- 108 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">701 us +- 19.7 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">2.04 ms +- 27.8 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [5]: </span><span class="o">%</span><span class="k">timeit</span> -n 1 rng.standard_gamma(3.0, 100000)
│ │ │ │  <span class="gp">   ...: </span><span class="o">%</span><span class="k">timeit</span> -n 1 numpy.random.standard_gamma(3.0, 100000)
│ │ │ │  <span class="gp">   ...: </span>
│ │ │ │ -<span class="go">3.15 ms +- 175 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ -<span class="go">4.58 ms +- 277 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">2.85 ms +- 53.4 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">6.54 ms +- 975 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([0.70547514, 0.08925294, 0.40291075])</span>
│ │ │ │ +<span class="gh">Out[7]: </span><span class="go">array([0.1171073 , 0.60991664, 0.51373836])</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([0.7055436 , 0.81983244, 0.7707724 ], dtype=float32)</span>
│ │ │ │ +<span class="gh">Out[8]: </span><span class="go">array([0.14971465, 0.04142678, 0.91847485], 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([ 48,  53, 194], dtype=uint8)</span>
│ │ │ │ +<span class="gh">Out[9]: </span><span class="go">array([198, 105, 169], 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([0.83725004, 0.59525983])</span>
│ │ │ │ +<span class="gh">Out[12]: </span><span class="go">array([0.46374678, 0.08005731])</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">[0.83725004 0.59525983 0.         0.        ]</span>
│ │ │ │ +<span class="go">[0.46374678 0.08005731 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>
│ │ │ │ @@ -636,17 +636,17 @@
│ │ │ │  <span class="gh">Out[16]: </span>
│ │ │ │  <span class="go">array([[ 0,  1,  2,  3],</span>
│ │ │ │  <span class="go">       [ 4,  5,  6,  7],</span>
│ │ │ │  <span class="go">       [ 8,  9, 10, 11]])</span>
│ │ │ │  
│ │ │ │  <span class="gp">In [17]: </span><span class="n">rng</span><span class="o">.</span><span class="n">choice</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
│ │ │ │  <span class="gh">Out[17]: </span>
│ │ │ │ -<span class="go">array([[ 2,  0,  0,  3,  3],</span>
│ │ │ │ -<span class="go">       [ 6,  4,  4,  7,  7],</span>
│ │ │ │ -<span class="go">       [10,  8,  8, 11, 11]])</span>
│ │ │ │ +<span class="go">array([[ 2,  3,  1,  1,  3],</span>
│ │ │ │ +<span class="go">       [ 6,  7,  5,  5,  7],</span>
│ │ │ │ +<span class="go">       [10, 11,  9,  9, 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([[ 0,  3,  2,  1],</span>
│ │ │ │  <span class="go">       [ 4,  7,  6,  5],</span>
│ │ │ │ ├── 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)
│ │ │ │ │     ...:
│ │ │ │ │ -1.39 ms +- 52.3 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ -2.55 ms +- 334 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +1.48 ms +- 31.1 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +2.85 ms +- 16.6 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)
│ │ │ │ │     ...:
│ │ │ │ │ -651 us +- 126 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ -1.44 ms +- 108 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +701 us +- 19.7 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +2.04 ms +- 27.8 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │  In [5]: %timeit -n 1 rng.standard_gamma(3.0, 100000)
│ │ │ │ │     ...: %timeit -n 1 numpy.random.standard_gamma(3.0, 100000)
│ │ │ │ │     ...:
│ │ │ │ │ -3.15 ms +- 175 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ -4.58 ms +- 277 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +2.85 ms +- 53.4 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +6.54 ms +- 975 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([0.70547514, 0.08925294, 0.40291075])
│ │ │ │ │ +Out[7]: array([0.1171073 , 0.60991664, 0.51373836])
│ │ │ │ │  
│ │ │ │ │  In [8]: rng.random(3, dtype=np.float32)
│ │ │ │ │ -Out[8]: array([0.7055436 , 0.81983244, 0.7707724 ], dtype=float32)
│ │ │ │ │ +Out[8]: array([0.14971465, 0.04142678, 0.91847485], dtype=float32)
│ │ │ │ │  
│ │ │ │ │  In [9]: rng.integers(0, 256, size=3, dtype=np.uint8)
│ │ │ │ │ -Out[9]: array([ 48,  53, 194], dtype=uint8)
│ │ │ │ │ +Out[9]: array([198, 105, 169], 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([0.83725004, 0.59525983])
│ │ │ │ │ +Out[12]: array([0.46374678, 0.08005731])
│ │ │ │ │  
│ │ │ │ │  In [13]: print(existing)
│ │ │ │ │ -[0.83725004 0.59525983 0.         0.        ]
│ │ │ │ │ +[0.46374678 0.08005731 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))
│ │ │ │ │  
│ │ │ │ │ @@ -179,17 +179,17 @@
│ │ │ │ │  Out[16]:
│ │ │ │ │  array([[ 0,  1,  2,  3],
│ │ │ │ │         [ 4,  5,  6,  7],
│ │ │ │ │         [ 8,  9, 10, 11]])
│ │ │ │ │  
│ │ │ │ │  In [17]: rng.choice(a, axis=1, size=5)
│ │ │ │ │  Out[17]:
│ │ │ │ │ -array([[ 2,  0,  0,  3,  3],
│ │ │ │ │ -       [ 6,  4,  4,  7,  7],
│ │ │ │ │ -       [10,  8,  8, 11, 11]])
│ │ │ │ │ +array([[ 2,  3,  1,  1,  3],
│ │ │ │ │ +       [ 6,  7,  5,  5,  7],
│ │ │ │ │ +       [10, 11,  9,  9, 11]])
│ │ │ │ │  
│ │ │ │ │  In [18]: rng.shuffle(a, axis=1)        # Shuffle in-place
│ │ │ │ │  
│ │ │ │ │  In [19]: a
│ │ │ │ │  Out[19]:
│ │ │ │ │  array([[ 0,  3,  2,  1],
│ │ │ │ │         [ 4,  7,  6,  5],
│ │ │ ├── ./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([ 1.11425062, -0.49272213])</span>
│ │ │ │ +<span class="gh">Out[4]: </span><span class="go">array([0.95430353, 0.03065741])</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([4.52140567, 5.0141278 ], domain=[0., 9.], window=[-1.,  1.], symbol=&#39;x&#39;)</span>
│ │ │ │ +<span class="gh">Out[6]: </span><span class="go">Polynomial([4.32502331, 4.2943659 ], 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([-0.49272213,  1.11425062], domain=[-1.,  1.], window=[-1.,  1.], symbol=&#39;x&#39;)</span>
│ │ │ │ +<span class="gh">Out[7]: </span><span class="go">Polynomial([0.03065741, 0.95430353], 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([ 1.11425062, -0.49272213])
│ │ │ │ │ +Out[4]: array([0.95430353, 0.03065741])
│ │ │ │ │  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([4.52140567, 5.0141278 ], domain=[0., 9.], window=[-1.,
│ │ │ │ │ +Out[6]: Polynomial([4.32502331, 4.2943659 ], 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([-0.49272213,  1.11425062], domain=[-1.,  1.], window=[-1.,
│ │ │ │ │ +Out[7]: Polynomial([0.03065741, 0.95430353], 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 {}
│ │ │ │ │ @@ -32345,15 +32345,14 @@
│ │ │ │ │          "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],
│ │ │ │ │ -        "0141278": 2488,
│ │ │ │ │          "016": [648, 653],
│ │ │ │ │          "01652764": 2635,
│ │ │ │ │          "01666667": 1544,
│ │ │ │ │          "016j": 2105,
│ │ │ │ │          "01831564": 1660,
│ │ │ │ │          "018318": [2353, 2400, 2450],
│ │ │ │ │          "01j": 514,
│ │ │ │ │ @@ -32370,25 +32369,27 @@
│ │ │ │ │          "02654825": 1891,
│ │ │ │ │          "02658058e": 2666,
│ │ │ │ │          "02755911": 2666,
│ │ │ │ │          "027559113243068367": 2666,
│ │ │ │ │          "02785049": 1867,
│ │ │ │ │          "02i": [513, 2644],
│ │ │ │ │          "03": [55, 67, 163, 566, 669, 1335, 1586, 1816, 2658],
│ │ │ │ │ +        "03065741": 2488,
│ │ │ │ │          "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],
│ │ │ │ │ +        "04": [54, 55, 164, 410, 547, 1586, 2461, 2463, 2594, 2659],
│ │ │ │ │          "0400": 360,
│ │ │ │ │          "04097352": 2635,
│ │ │ │ │ +        "04142678": 2461,
│ │ │ │ │          "04166667": [1544, 1585],
│ │ │ │ │          "04211c6": 2521,
│ │ │ │ │          "04551152e": 2104,
│ │ │ │ │          "04719755": 1911,
│ │ │ │ │          "05": [55, 91, 163, 410, 548, 669, 896, 1095, 1871, 2083, 2173, 2252, 2353, 2400, 2450, 2648],
│ │ │ │ │          "0500": 360,
│ │ │ │ │          "05093587": 2635,
│ │ │ │ │ @@ -32408,25 +32409,25 @@
│ │ │ │ │          "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,
│ │ │ │ │ +        "08005731": 2461,
│ │ │ │ │          "08187135": 54,
│ │ │ │ │          "08333333": [1645, 1871],
│ │ │ │ │          "08405657": 1867,
│ │ │ │ │          "0855": 2642,
│ │ │ │ │          "08553692": 38,
│ │ │ │ │          "085537": 2642,
│ │ │ │ │          "0856306": 1154,
│ │ │ │ │          "08618131": 1526,
│ │ │ │ │          "08703704": [1113, 1543],
│ │ │ │ │          "087300000000000003": [2346, 2392, 2441],
│ │ │ │ │ -        "08925294": 2461,
│ │ │ │ │          "09": [55, 2171, 2323, 2367, 2414],
│ │ │ │ │          "090097550553843": 2642,
│ │ │ │ │          "09417735": [349, 2457, 2639],
│ │ │ │ │          "0943951": 1911,
│ │ │ │ │          "09640474436813": 675,
│ │ │ │ │          "09861229": [657, 2655],
│ │ │ │ │          "0999755859375": 62,
│ │ │ │ │ @@ -32525,15 +32526,15 @@
│ │ │ │ │          "10403": 2536,
│ │ │ │ │          "10412": 2536,
│ │ │ │ │          "10424": 2536,
│ │ │ │ │          "10425": 2536,
│ │ │ │ │          "10431": 2536,
│ │ │ │ │          "10435": 2536,
│ │ │ │ │          "1049": 2098,
│ │ │ │ │ -        "105": 2463,
│ │ │ │ │ +        "105": [2461, 2463],
│ │ │ │ │          "10534": 2536,
│ │ │ │ │          "10536": 2536,
│ │ │ │ │          "10537": 2536,
│ │ │ │ │          "10539": 2536,
│ │ │ │ │          "10540": 2536,
│ │ │ │ │          "10541": 2536,
│ │ │ │ │          "10542": 2536,
│ │ │ │ │ @@ -32564,15 +32565,15 @@
│ │ │ │ │          "1071": 2463,
│ │ │ │ │          "10725": 2537,
│ │ │ │ │          "10726": 2537,
│ │ │ │ │          "10727": 2537,
│ │ │ │ │          "10729": 2537,
│ │ │ │ │          "1073741821": [420, 421, 947, 948, 1923],
│ │ │ │ │          "1078": 2622,
│ │ │ │ │ -        "108": [524, 2461, 2463],
│ │ │ │ │ +        "108": [524, 2463],
│ │ │ │ │          "10862": 2538,
│ │ │ │ │          "10868": 2538,
│ │ │ │ │          "1088311": 2343,
│ │ │ │ │          "10898": 2542,
│ │ │ │ │          "109": [136, 523, 2463],
│ │ │ │ │          "10905": 2538,
│ │ │ │ │          "10941": 2328,
│ │ │ │ │ @@ -32620,15 +32621,14 @@
│ │ │ │ │          "11294": 2540,
│ │ │ │ │          "113": [674, 2463, 2666],
│ │ │ │ │          "11308": 2542,
│ │ │ │ │          "1138": 2612,
│ │ │ │ │          "114": 2463,
│ │ │ │ │          "11407192": 1822,
│ │ │ │ │          "1142": [2353, 2400, 2450],
│ │ │ │ │ -        "11425062": 2488,
│ │ │ │ │          "1149": 2612,
│ │ │ │ │          "115": [1654, 2463],
│ │ │ │ │          "1151": 657,
│ │ │ │ │          "11525": 2547,
│ │ │ │ │          "116": 2463,
│ │ │ │ │          "11625": [2543, 2544, 2545, 2546],
│ │ │ │ │          "11647": 2543,
│ │ │ │ │ @@ -32637,14 +32637,15 @@
│ │ │ │ │          "11659149": [2345, 2391, 2439],
│ │ │ │ │          "11661": 2543,
│ │ │ │ │          "11665": 2543,
│ │ │ │ │          "11675684e": 1586,
│ │ │ │ │          "11682": 2543,
│ │ │ │ │          "11698": 2543,
│ │ │ │ │          "11700": 2543,
│ │ │ │ │ +        "1171073": 2461,
│ │ │ │ │          "11719": 2543,
│ │ │ │ │          "11720": 2543,
│ │ │ │ │          "11746": 2543,
│ │ │ │ │          "11757": 2543,
│ │ │ │ │          "11758": 2543,
│ │ │ │ │          "11759": 2543,
│ │ │ │ │          "11760": 2543,
│ │ │ │ │ @@ -32722,15 +32723,15 @@
│ │ │ │ │          "1234567e": 2172,
│ │ │ │ │          "12346": 2462,
│ │ │ │ │          "1235": 2091,
│ │ │ │ │          "123abc": [302, 305, 2131, 2134],
│ │ │ │ │          "124": [98, 905],
│ │ │ │ │          "125": [470, 660, 1114, 1142, 1645, 1651, 1899, 1900, 2239, 2339, 2382, 2429, 2460, 2491, 2659, 2666],
│ │ │ │ │          "12589991e": 645,
│ │ │ │ │ -        "126": [863, 1048, 1116, 1904, 2461],
│ │ │ │ │ +        "126": [863, 1048, 1116, 1904],
│ │ │ │ │          "1261": 2612,
│ │ │ │ │          "12658": 2560,
│ │ │ │ │          "12697628": 2635,
│ │ │ │ │          "127": [62, 66, 514, 863, 1048, 1102, 1116, 1904, 2301, 2302, 2462, 2463, 2464, 2583, 2639],
│ │ │ │ │          "12736": [2548, 2549],
│ │ │ │ │          "12767": 2548,
│ │ │ │ │          "12768": 2548,
│ │ │ │ │ @@ -32967,14 +32968,15 @@
│ │ │ │ │          "1486618624": 2648,
│ │ │ │ │          "14882": 2572,
│ │ │ │ │          "14924": 2566,
│ │ │ │ │          "14933": 2566,
│ │ │ │ │          "14937": 2559,
│ │ │ │ │          "14939": 2559,
│ │ │ │ │          "14942": 2566,
│ │ │ │ │ +        "14971465": 2461,
│ │ │ │ │          "14981": 2566,
│ │ │ │ │          "14987721": 2666,
│ │ │ │ │          "14993": 2559,
│ │ │ │ │          "14995": 2566,
│ │ │ │ │          "14996": 2560,
│ │ │ │ │          "14j": 1915,
│ │ │ │ │          "14t15": 55,
│ │ │ │ │ @@ -33158,14 +33160,15 @@
│ │ │ │ │          "168": 2463,
│ │ │ │ │          "16815": 2572,
│ │ │ │ │          "16830": 2588,
│ │ │ │ │          "16832": 2567,
│ │ │ │ │          "16841": 2572,
│ │ │ │ │          "16872": 2567,
│ │ │ │ │          "16875": 2567,
│ │ │ │ │ +        "169": 2461,
│ │ │ │ │          "16904": 2567,
│ │ │ │ │          "16905": 2567,
│ │ │ │ │          "16906": 2567,
│ │ │ │ │          "16916": 2567,
│ │ │ │ │          "16922": 2567,
│ │ │ │ │          "16938": 2572,
│ │ │ │ │          "16959": 2568,
│ │ │ │ │ @@ -33211,15 +33214,15 @@
│ │ │ │ │          "174": 2463,
│ │ │ │ │          "17446": 2569,
│ │ │ │ │          "17450": 2569,
│ │ │ │ │          "17456": 2572,
│ │ │ │ │          "1747": 2612,
│ │ │ │ │          "1749": 2611,
│ │ │ │ │          "17492": 2576,
│ │ │ │ │ -        "175": [2461, 2463, 2659],
│ │ │ │ │ +        "175": [2463, 2659],
│ │ │ │ │          "17522": 2569,
│ │ │ │ │          "17530": 2583,
│ │ │ │ │          "17535": 2572,
│ │ │ │ │          "17545176": 1153,
│ │ │ │ │          "17568": 2569,
│ │ │ │ │          "17577": [2572, 2660],
│ │ │ │ │          "17580": 2572,
│ │ │ │ │ @@ -33406,15 +33409,14 @@
│ │ │ │ │          "19365": 2577,
│ │ │ │ │          "19366": 2577,
│ │ │ │ │          "19388": 2594,
│ │ │ │ │          "1939": [2356, 2358, 2403, 2405, 2453, 2455],
│ │ │ │ │          "19390": 2577,
│ │ │ │ │          "19391": 2577,
│ │ │ │ │          "19392": 2577,
│ │ │ │ │ -        "194": 2461,
│ │ │ │ │          "1943": [2332, 2376, 2423],
│ │ │ │ │          "19430": 2577,
│ │ │ │ │          "19459": 2583,
│ │ │ │ │          "19478": 2583,
│ │ │ │ │          "19479": 2583,
│ │ │ │ │          "1948": 2612,
│ │ │ │ │          "19495": 2577,
│ │ │ │ │ @@ -33467,15 +33469,15 @@
│ │ │ │ │          "1971": 55,
│ │ │ │ │          "1972": [351, 2105, 2166, 2167, 2316, 2327, 2329, 2356, 2361, 2372, 2373, 2403, 2408, 2419, 2420, 2453],
│ │ │ │ │          "19745": 2579,
│ │ │ │ │          "1975": [136, 523, 524, 566],
│ │ │ │ │          "19754": 2583,
│ │ │ │ │          "19775622": 2642,
│ │ │ │ │          "1977562209304": 2642,
│ │ │ │ │ -        "198": [36, 2666],
│ │ │ │ │ +        "198": [36, 2461, 2666],
│ │ │ │ │          "1980": [62, 637, 641, 642, 655, 658, 1526],
│ │ │ │ │          "19803": 2583,
│ │ │ │ │          "19805": 2583,
│ │ │ │ │          "1985": [653, 1897],
│ │ │ │ │          "19857": 2583,
│ │ │ │ │          "1986": [136, 523, 524],
│ │ │ │ │          "19879": 2583,
│ │ │ │ │ @@ -34396,15 +34398,15 @@
│ │ │ │ │          "26963": 2623,
│ │ │ │ │          "26971": 2623,
│ │ │ │ │          "26978671": 2635,
│ │ │ │ │          "26981": 2625,
│ │ │ │ │          "2699": 1643,
│ │ │ │ │          "26995": 2623,
│ │ │ │ │          "26aa21a": 13,
│ │ │ │ │ -        "27": [54, 55, 58, 169, 470, 539, 554, 660, 680, 1142, 1884, 1899, 1900, 2208, 2239, 2316, 2361, 2408, 2463, 2491, 2513, 2533, 2534, 2624, 2639, 2641, 2645, 2657, 2659, 2666],
│ │ │ │ │ +        "27": [54, 55, 58, 169, 470, 539, 554, 660, 680, 1142, 1884, 1899, 1900, 2208, 2239, 2316, 2361, 2408, 2461, 2463, 2491, 2513, 2533, 2534, 2624, 2639, 2641, 2645, 2657, 2659, 2666],
│ │ │ │ │          "270": 363,
│ │ │ │ │          "27000": 2624,
│ │ │ │ │          "2700000": 2635,
│ │ │ │ │          "27000000": 2635,
│ │ │ │ │          "27001": 2624,
│ │ │ │ │          "27008": 2625,
│ │ │ │ │          "27021": 2624,
│ │ │ │ │ @@ -34483,15 +34485,14 @@
│ │ │ │ │          "27636": [2628, 2629],
│ │ │ │ │          "27661": 2629,
│ │ │ │ │          "27668": 2628,
│ │ │ │ │          "27669": 2628,
│ │ │ │ │          "27672": 2628,
│ │ │ │ │          "27673": 2628,
│ │ │ │ │          "27695": 2629,
│ │ │ │ │ -        "277": 2461,
│ │ │ │ │          "27723": 2629,
│ │ │ │ │          "27735": 2629,
│ │ │ │ │          "27736": 2629,
│ │ │ │ │          "27807": 2629,
│ │ │ │ │          "27808": 2629,
│ │ │ │ │          "27896": 2629,
│ │ │ │ │          "278dd2a": 13,
│ │ │ │ │ @@ -34609,14 +34610,15 @@
│ │ │ │ │          "29001ed": 13,
│ │ │ │ │          "290301": 55,
│ │ │ │ │          "292": 55,
│ │ │ │ │          "29229249": 524,
│ │ │ │ │          "29239766": 54,
│ │ │ │ │          "2925464970228": 657,
│ │ │ │ │          "294241": 55,
│ │ │ │ │ +        "2943659": 2488,
│ │ │ │ │          "296": 669,
│ │ │ │ │          "2969": 2614,
│ │ │ │ │          "297": [438, 2477, 2666],
│ │ │ │ │          "29718677": [2339, 2352, 2382, 2389, 2399, 2429, 2436, 2449],
│ │ │ │ │          "2973": 2614,
│ │ │ │ │          "29737120e": 566,
│ │ │ │ │          "298": [2300, 2666],
│ │ │ │ │ @@ -34674,15 +34676,15 @@
│ │ │ │ │          "3057": 2615,
│ │ │ │ │          "307": [1149, 2666],
│ │ │ │ │          "308": 1335,
│ │ │ │ │          "3083169284": [850, 1030],
│ │ │ │ │          "308j": 1335,
│ │ │ │ │          "309": [420, 421, 947, 948, 1149, 2460],
│ │ │ │ │          "30z": 360,
│ │ │ │ │ -        "31": [54, 55, 146, 336, 514, 669, 1088, 1094, 1638, 1711, 1867, 1913, 2204, 2236, 2327, 2331, 2375, 2422, 2513, 2520, 2637, 2641, 2657, 2666],
│ │ │ │ │ +        "31": [54, 55, 146, 336, 514, 669, 1088, 1094, 1638, 1711, 1867, 1913, 2204, 2236, 2327, 2331, 2375, 2422, 2461, 2513, 2520, 2637, 2641, 2657, 2666],
│ │ │ │ │          "31018314": 2458,
│ │ │ │ │          "3105": 2614,
│ │ │ │ │          "3108": 2614,
│ │ │ │ │          "3117": 2614,
│ │ │ │ │          "3118": [57, 2547],
│ │ │ │ │          "31183145": 2666,
│ │ │ │ │          "312088": 1867,
│ │ │ │ │ @@ -34709,14 +34711,15 @@
│ │ │ │ │          "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],
│ │ │ │ │          "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],
│ │ │ │ │ +        "32502331": 2488,
│ │ │ │ │          "3263": 2617,
│ │ │ │ │          "32767": 535,
│ │ │ │ │          "32768": 535,
│ │ │ │ │          "32_767": 62,
│ │ │ │ │          "32_768": 62,
│ │ │ │ │          "32bit": [50, 61, 62, 2364, 2377, 2379, 2388, 2411, 2424, 2426, 2435, 2517, 2572, 2589],
│ │ │ │ │          "32x": 2583,
│ │ │ │ │ @@ -34731,15 +34734,14 @@
│ │ │ │ │          "33333333": [1335, 1544, 1702, 1750, 1771, 1812, 1816, 1818, 1819, 1863, 1865, 2491, 2645],
│ │ │ │ │          "333333333": 2171,
│ │ │ │ │          "3333333333333": 2171,
│ │ │ │ │          "33333334": 2171,
│ │ │ │ │          "3333333e": 1335,
│ │ │ │ │          "33339": 2173,
│ │ │ │ │          "33340274885464394": 2202,
│ │ │ │ │ -        "334": 2461,
│ │ │ │ │          "3340": [287, 1241, 1324, 1478, 1998],
│ │ │ │ │          "3348": 2617,
│ │ │ │ │          "33486982e": 438,
│ │ │ │ │          "3361": [99, 906],
│ │ │ │ │          "3364": 2615,
│ │ │ │ │          "3373": 2615,
│ │ │ │ │          "33872321e": 2104,
│ │ │ │ │ @@ -34810,15 +34812,15 @@
│ │ │ │ │          "3871": 2615,
│ │ │ │ │          "38777878e": [147, 1651],
│ │ │ │ │          "38791518e": [421, 948],
│ │ │ │ │          "38885": [2361, 2408],
│ │ │ │ │          "389056": 2642,
│ │ │ │ │          "3890561": [38, 2666],
│ │ │ │ │          "3891": 2642,
│ │ │ │ │ -        "39": [30, 58, 2208, 2461, 2463, 2641, 2657],
│ │ │ │ │ +        "39": [30, 58, 2208, 2463, 2641, 2657],
│ │ │ │ │          "390": [2270, 2300],
│ │ │ │ │          "3900": 2615,
│ │ │ │ │          "3900x": 2463,
│ │ │ │ │          "39015": 2316,
│ │ │ │ │          "39211752": 1153,
│ │ │ │ │          "39337286e": 1149,
│ │ │ │ │          "3971": 2615,
│ │ │ │ │ @@ -34850,15 +34852,14 @@
│ │ │ │ │          "4007": 2620,
│ │ │ │ │          "40077": [1644, 1656],
│ │ │ │ │          "400e": 2658,
│ │ │ │ │          "4018": [2615, 2617],
│ │ │ │ │          "4024": 2617,
│ │ │ │ │          "4027": 2617,
│ │ │ │ │          "40274501": 1154,
│ │ │ │ │ -        "40291075": 2461,
│ │ │ │ │          "4051": [2615, 2617],
│ │ │ │ │          "409": 2463,
│ │ │ │ │          "40918587e": 2104,
│ │ │ │ │          "40919914": 2666,
│ │ │ │ │          "4093": 2617,
│ │ │ │ │          "4094": [2615, 2617],
│ │ │ │ │          "4096": [72, 2092],
│ │ │ │ │ @@ -34917,15 +34918,15 @@
│ │ │ │ │          "4354": 2617,
│ │ │ │ │          "4359": 2617,
│ │ │ │ │          "4368": [287, 1241, 1324, 1478, 1998],
│ │ │ │ │          "4375": 2491,
│ │ │ │ │          "43857224": 1153,
│ │ │ │ │          "43887844": [349, 2457, 2639],
│ │ │ │ │          "43999999999998": 1114,
│ │ │ │ │ -        "44": [16, 1525, 1758, 1905, 1907, 1922, 2208, 2461, 2463, 2624, 2657, 2658, 2659, 2666],
│ │ │ │ │ +        "44": [16, 1525, 1758, 1905, 1907, 1922, 2208, 2463, 2624, 2657, 2658, 2659, 2666],
│ │ │ │ │          "440": [10, 2520],
│ │ │ │ │          "4400": [409, 661, 2168],
│ │ │ │ │          "44069024": 349,
│ │ │ │ │          "4408": 2617,
│ │ │ │ │          "44089210e": 1527,
│ │ │ │ │          "4408921e": [1765, 2175],
│ │ │ │ │          "4409e": 2091,
│ │ │ │ │ @@ -34964,14 +34965,15 @@
│ │ │ │ │          "46009194e": 566,
│ │ │ │ │          "4602": 2618,
│ │ │ │ │          "4610935": 457,
│ │ │ │ │          "4613": 2618,
│ │ │ │ │          "4628": 2618,
│ │ │ │ │          "46351241j": 2081,
│ │ │ │ │          "46368": 28,
│ │ │ │ │ +        "46374678": 2461,
│ │ │ │ │          "464": 680,
│ │ │ │ │          "4642": 2618,
│ │ │ │ │          "465": [58, 1157],
│ │ │ │ │          "4656": 2618,
│ │ │ │ │          "4664": [409, 661, 2168],
│ │ │ │ │          "46666491": 349,
│ │ │ │ │          "46716228e": 1586,
│ │ │ │ │ @@ -35007,15 +35009,14 @@
│ │ │ │ │          "484": [2517, 2583, 2625],
│ │ │ │ │          "4853": 2618,
│ │ │ │ │          "4861946401452": 2334,
│ │ │ │ │          "4874": [409, 661, 2168],
│ │ │ │ │          "4882": [287, 1241, 1324, 1478, 1998],
│ │ │ │ │          "4896": 2620,
│ │ │ │ │          "49": [71, 2208, 2323, 2367, 2414, 2567, 2568, 2641, 2657, 2666],
│ │ │ │ │ -        "49272213": 2488,
│ │ │ │ │          "4928": [409, 661, 2168],
│ │ │ │ │          "49293": 1644,
│ │ │ │ │          "49313049": [2387, 2434],
│ │ │ │ │          "49401501": [2339, 2352, 2382, 2389, 2399, 2429, 2436, 2449],
│ │ │ │ │          "496041986": [420, 947],
│ │ │ │ │          "49778714": 2238,
│ │ │ │ │          "49876311": [2352, 2399, 2449],
│ │ │ │ │ @@ -35062,14 +35063,15 @@
│ │ │ │ │          "510": [143, 570],
│ │ │ │ │          "5100": 2620,
│ │ │ │ │          "5104": 2620,
│ │ │ │ │          "51182162": 2666,
│ │ │ │ │          "512": [69, 893, 1083, 1143, 1247, 2115, 2240, 2542, 2547, 2666],
│ │ │ │ │          "51327412": 1891,
│ │ │ │ │          "5136": 2620,
│ │ │ │ │ +        "51373836": 2461,
│ │ │ │ │          "5138": 2620,
│ │ │ │ │          "514229": 28,
│ │ │ │ │          "5147": 2620,
│ │ │ │ │          "5148": 2620,
│ │ │ │ │          "51506735": 1822,
│ │ │ │ │          "5155": 2621,
│ │ │ │ │          "5162": [409, 661, 2168],
│ │ │ │ │ @@ -35078,17 +35080,16 @@
│ │ │ │ │          "51658839e": 1586,
│ │ │ │ │          "517": 10,
│ │ │ │ │          "5170": 2620,
│ │ │ │ │          "5184": 2620,
│ │ │ │ │          "51851852": 1809,
│ │ │ │ │          "519928": 2635,
│ │ │ │ │          "51992837": 2635,
│ │ │ │ │ -        "52": [10, 50, 62, 457, 1638, 1647, 1650, 2204, 2208, 2461, 2554, 2635, 2641, 2648, 2657, 2659, 2660, 2666],
│ │ │ │ │ +        "52": [10, 50, 62, 457, 1638, 1647, 1650, 2204, 2208, 2554, 2635, 2641, 2648, 2657, 2659, 2660, 2666],
│ │ │ │ │          "5203": 2620,
│ │ │ │ │ -        "52140567": 2488,
│ │ │ │ │          "5225": 2620,
│ │ │ │ │          "5231": 2620,
│ │ │ │ │          "52338984": [2345, 2391, 2439],
│ │ │ │ │          "52359878": 1911,
│ │ │ │ │          "52380952e": 1816,
│ │ │ │ │          "5240": 2620,
│ │ │ │ │          "5251": 2620,
│ │ │ │ │ @@ -35107,15 +35108,15 @@
│ │ │ │ │          "536870910": 1902,
│ │ │ │ │          "5374": 2621,
│ │ │ │ │          "53814331": 2666,
│ │ │ │ │          "5388": 2621,
│ │ │ │ │          "5390": 2621,
│ │ │ │ │          "5393": 2621,
│ │ │ │ │          "5396": [287, 1241, 1324, 1478, 1998],
│ │ │ │ │ -        "54": [38, 59, 523, 1638, 1711, 1764, 2208, 2642, 2657],
│ │ │ │ │ +        "54": [38, 59, 523, 1638, 1711, 1764, 2208, 2461, 2642, 2657],
│ │ │ │ │          "540": [2238, 2576],
│ │ │ │ │          "54030231": 2666,
│ │ │ │ │          "54030231j": 2666,
│ │ │ │ │          "541": 2463,
│ │ │ │ │          "54117": 1644,
│ │ │ │ │          "5424": 2621,
│ │ │ │ │          "54323428": [2345, 2391, 2439],
│ │ │ │ │ @@ -35126,15 +35127,15 @@
│ │ │ │ │          "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, 2461, 2622, 2657],
│ │ │ │ │ +        "55": [28, 59, 60, 73, 893, 1083, 1143, 1525, 1905, 2090, 2204, 2240, 2622, 2657],
│ │ │ │ │          "55000000074505806": 1247,
│ │ │ │ │          "5510652": 2635,
│ │ │ │ │          "55111512e": 642,
│ │ │ │ │          "55131477": 1153,
│ │ │ │ │          "5524": 2621,
│ │ │ │ │          "55458479": 349,
│ │ │ │ │          "55490914e": 2666,
│ │ │ │ │ @@ -35164,24 +35165,23 @@
│ │ │ │ │          "576": 2615,
│ │ │ │ │          "57721": [2326, 2371, 2418],
│ │ │ │ │          "5772156649015328606065120900824024310421": 76,
│ │ │ │ │          "5773": 2522,
│ │ │ │ │          "57860025": 1154,
│ │ │ │ │          "579365079365115": [1113, 1543],
│ │ │ │ │          "57x": 2594,
│ │ │ │ │ -        "58": [669, 1748, 1777, 2204, 2208, 2332, 2376, 2423, 2461, 2464, 2572, 2635, 2657],
│ │ │ │ │ +        "58": [669, 1748, 1777, 2204, 2208, 2332, 2376, 2423, 2464, 2572, 2635, 2657],
│ │ │ │ │          "582892": 2635,
│ │ │ │ │          "58289208": 2635,
│ │ │ │ │          "584388": 55,
│ │ │ │ │          "585": [378, 1358, 1514, 2583],
│ │ │ │ │          "58578644": 1756,
│ │ │ │ │          "58826587": 349,
│ │ │ │ │          "59": [55, 2208, 2602, 2657],
│ │ │ │ │          "5910": [287, 1241, 1324, 1478, 1998],
│ │ │ │ │ -        "59525983": 2461,
│ │ │ │ │          "595726": 2635,
│ │ │ │ │          "59572603": 2635,
│ │ │ │ │          "5969": [99, 906],
│ │ │ │ │          "598150": 2642,
│ │ │ │ │          "59815003": 38,
│ │ │ │ │          "5982": 2642,
│ │ │ │ │          "59903635e": 147,
│ │ │ │ │ @@ -35201,14 +35201,15 @@
│ │ │ │ │          "60393245": 660,
│ │ │ │ │          "60546483": 523,
│ │ │ │ │          "60663578": 2635,
│ │ │ │ │          "607": [2339, 2382, 2429],
│ │ │ │ │          "60860684e": 1594,
│ │ │ │ │          "609": 2583,
│ │ │ │ │          "6094": 2522,
│ │ │ │ │ +        "60991664": 2461,
│ │ │ │ │          "60x": 2599,
│ │ │ │ │          "61": [13, 2657],
│ │ │ │ │          "610": 28,
│ │ │ │ │          "61119": 2098,
│ │ │ │ │          "614064523559687": 2115,
│ │ │ │ │          "6143849206349179": [1113, 1543],
│ │ │ │ │          "6176": [99, 906],
│ │ │ │ │ @@ -35263,15 +35264,14 @@
│ │ │ │ │          "6499": 2522,
│ │ │ │ │          "64bit": [50, 61, 62, 2364, 2377, 2379, 2388, 2411, 2424, 2426, 2435, 2517, 2572, 2594],
│ │ │ │ │          "65": 2657,
│ │ │ │ │          "650": 2618,
│ │ │ │ │          "6500": 2522,
│ │ │ │ │          "6501": 2522,
│ │ │ │ │          "65028784": 2666,
│ │ │ │ │ -        "651": 2461,
│ │ │ │ │          "65143654": 1154,
│ │ │ │ │          "6515": [2353, 2400, 2450],
│ │ │ │ │          "65200189e": 566,
│ │ │ │ │          "6526": 2522,
│ │ │ │ │          "6527": 2522,
│ │ │ │ │          "6530": 2522,
│ │ │ │ │          "6532": 2522,
│ │ │ │ │ @@ -35395,19 +35395,17 @@
│ │ │ │ │          "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],
│ │ │ │ │          "700": 567,
│ │ │ │ │          "70000000": 2635,
│ │ │ │ │ -        "701": 2463,
│ │ │ │ │ +        "701": [2461, 2463],
│ │ │ │ │          "703": 2625,
│ │ │ │ │          "7054": 2535,
│ │ │ │ │ -        "70547514": 2461,
│ │ │ │ │ -        "7055436": 2461,
│ │ │ │ │          "706": 520,
│ │ │ │ │          "70710678": [216, 247, 641, 1199, 1216, 1282, 1299, 1436, 1453, 1636, 1642, 1956, 1973, 2103],
│ │ │ │ │          "70710678118654746": 637,
│ │ │ │ │          "70710678j": 641,
│ │ │ │ │          "7083": 2529,
│ │ │ │ │          "71": [354, 650, 2460, 2657],
│ │ │ │ │          "71080601": 2659,
│ │ │ │ │ @@ -35487,15 +35485,14 @@
│ │ │ │ │          "7676": 2526,
│ │ │ │ │          "7680": 2526,
│ │ │ │ │          "769893": 2635,
│ │ │ │ │          "76989341": 2635,
│ │ │ │ │          "76991118": 1891,
│ │ │ │ │          "77": [29, 36, 37, 38, 39, 2463, 2635, 2654, 2657],
│ │ │ │ │          "770": [287, 1241, 1324, 1478, 1998, 2650],
│ │ │ │ │ -        "7707724": 2461,
│ │ │ │ │          "77086955": 1526,
│ │ │ │ │          "7724": 2526,
│ │ │ │ │          "7725": [2353, 2400, 2450],
│ │ │ │ │          "7731": 2526,
│ │ │ │ │          "7736": 2527,
│ │ │ │ │          "7737": 2526,
│ │ │ │ │          "7738": 2527,
│ │ │ │ │ @@ -35570,15 +35567,14 @@
│ │ │ │ │          "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],
│ │ │ │ │ -        "81983244": 2461,
│ │ │ │ │          "82": [1650, 2323, 2367, 2414, 2463, 2657, 2666],
│ │ │ │ │          "8207540608310198": [2353, 2400, 2450],
│ │ │ │ │          "82276161": 349,
│ │ │ │ │          "8230": [2353, 2400, 2450],
│ │ │ │ │          "82485143": 2635,
│ │ │ │ │          "82502011": 349,
│ │ │ │ │          "8255": 2566,
│ │ │ │ │ @@ -35592,28 +35588,27 @@
│ │ │ │ │          "83314899": 1154,
│ │ │ │ │          "83333333": 1702,
│ │ │ │ │          "833333333333333": [893, 1083, 1143, 2240],
│ │ │ │ │          "8341": 2528,
│ │ │ │ │          "8346": 2528,
│ │ │ │ │          "83571711": 349,
│ │ │ │ │          "83697020e": [470, 1899, 1900],
│ │ │ │ │ -        "83725004": 2461,
│ │ │ │ │          "84": [2657, 2659],
│ │ │ │ │          "840": 1212,
│ │ │ │ │          "84057254": [2339, 2352, 2382, 2389, 2399, 2429, 2436, 2449],
│ │ │ │ │          "84090247": 2458,
│ │ │ │ │          "84123594": 523,
│ │ │ │ │          "84147098": 2666,
│ │ │ │ │          "8414709848078965": 2640,
│ │ │ │ │          "84147098j": 2666,
│ │ │ │ │          "841471": 2642,
│ │ │ │ │          "842523": 2515,
│ │ │ │ │          "84680802e": 2104,
│ │ │ │ │          "8480354764257312": 653,
│ │ │ │ │ -        "85": [409, 2657],
│ │ │ │ │ +        "85": [409, 2461, 2657],
│ │ │ │ │          "85099543": 1822,
│ │ │ │ │          "85355339": 1756,
│ │ │ │ │          "85569": 2098,
│ │ │ │ │          "85602287": [2335, 2378, 2425],
│ │ │ │ │          "857": 410,
│ │ │ │ │          "8570331885190563e": [648, 653],
│ │ │ │ │          "85715698e": 2171,
│ │ │ │ │ @@ -35671,14 +35666,15 @@
│ │ │ │ │          "90476190e": 1816,
│ │ │ │ │          "90909091": 136,
│ │ │ │ │          "909297": 2642,
│ │ │ │ │          "90929743": 2666,
│ │ │ │ │          "91": 2657,
│ │ │ │ │          "91275558": 2635,
│ │ │ │ │          "916666666666666": 1240,
│ │ │ │ │ +        "91847485": 2461,
│ │ │ │ │          "92": [98, 2657, 2659],
│ │ │ │ │          "921fb54442d18p": 2520,
│ │ │ │ │          "9223372036854775807": 2648,
│ │ │ │ │          "9223372036854775808": 2648,
│ │ │ │ │          "92346708": 349,
│ │ │ │ │          "92362781e": 2104,
│ │ │ │ │          "92387953": 642,
│ │ │ │ │ @@ -35720,14 +35716,15 @@
│ │ │ │ │          "9475673279178444": 2348,
│ │ │ │ │          "94864945": 2666,
│ │ │ │ │          "94909878": [2387, 2434],
│ │ │ │ │          "95": [37, 39, 646, 2353, 2400, 2450, 2635, 2654, 2657],
│ │ │ │ │          "9504637": 2666,
│ │ │ │ │          "950684": 2635,
│ │ │ │ │          "95068423": 2635,
│ │ │ │ │ +        "95430353": 2488,
│ │ │ │ │          "9555": [2533, 2534],
│ │ │ │ │          "9556": [2533, 2534],
│ │ │ │ │          "9557": [2533, 2534],
│ │ │ │ │          "9558": [2533, 2534],
│ │ │ │ │          "9559": [2533, 2534],
│ │ │ │ │          "9580": [2533, 2534],
│ │ │ │ │          "95892427": 2666,
│ │ │ │ │ @@ -35750,14 +35747,15 @@
│ │ │ │ │          "9732": [2533, 2534],
│ │ │ │ │          "9736": [2533, 2534],
│ │ │ │ │          "9742": [2533, 2534],
│ │ │ │ │          "9744": [2533, 2534],
│ │ │ │ │          "9745": [2533, 2534],
│ │ │ │ │          "9746": [2533, 2534],
│ │ │ │ │          "9747": [2533, 2534],
│ │ │ │ │ +        "975": 2461,
│ │ │ │ │          "97517215": 349,
│ │ │ │ │          "97562235": [349, 2457, 2639],
│ │ │ │ │          "9757": [2533, 2534],
│ │ │ │ │          "9764": [2533, 2534],
│ │ │ │ │          "9765": [2533, 2534],
│ │ │ │ │          "9766": [2533, 2534],
│ │ │ │ │          "9767": [2533, 2534],