--- /srv/reproducible-results/rbuild-debian/r-b-build.JzXBloSU/b1/numpy_2.2.2+ds-2_arm64.changes
+++ /srv/reproducible-results/rbuild-debian/r-b-build.JzXBloSU/b2/numpy_2.2.2+ds-2_arm64.changes
├── Files
│ @@ -1,5 +1,5 @@
│  
│ - c8368b2f7931b3cce08724c7fbf5e948 5811552 doc optional python-numpy-doc_2.2.2+ds-2_all.deb
│ + d469f6e50047d238672c0562ecb611c9 5811436 doc optional python-numpy-doc_2.2.2+ds-2_all.deb
│   88d44eb20f4280ed39ce9ae5cc43f9f6 28633924 debug optional python3-numpy-dbgsym_2.2.2+ds-2_arm64.deb
│   8fb76d66fb6a0644c2be36d32b977443 135200 python optional python3-numpy-dev_2.2.2+ds-2_arm64.deb
│   49241d89960d9d11003489c1d2dc32f7 4128632 python optional python3-numpy_2.2.2+ds-2_arm64.deb
├── python-numpy-doc_2.2.2+ds-2_all.deb
│ ├── file list
│ │ @@ -1,3 +1,3 @@
│ │  -rw-r--r--   0        0        0        4 2025-01-26 20:02:29.000000 debian-binary
│ │ --rw-r--r--   0        0        0    64836 2025-01-26 20:02:29.000000 control.tar.xz
│ │ --rw-r--r--   0        0        0  5746524 2025-01-26 20:02:29.000000 data.tar.xz
│ │ +-rw-r--r--   0        0        0    64828 2025-01-26 20:02:29.000000 control.tar.xz
│ │ +-rw-r--r--   0        0        0  5746416 2025-01-26 20:02:29.000000 data.tar.xz
│ ├── control.tar.xz
│ │ ├── control.tar
│ │ │ ├── ./md5sums
│ │ │ │ ├── ./md5sums
│ │ │ │ │┄ Files differ
│ ├── data.tar.xz
│ │ ├── data.tar
│ │ │ ├── file list
│ │ │ │ @@ -2578,15 +2578,15 @@
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    42758 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/random/generated/numpy.random.wald.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    46891 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/random/generated/numpy.random.weibull.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    45382 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/random/generated/numpy.random.zipf.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    82403 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/random/generator.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    45982 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/random/index.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    89078 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/random/legacy.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    35540 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/random/multithreading.html
│ │ │ │ --rw-r--r--   0 root         (0) root         (0)    44351 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/random/new-or-different.html
│ │ │ │ +-rw-r--r--   0 root         (0) root         (0)    44353 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/random/new-or-different.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    52723 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/random/parallel.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    38070 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/random/performance.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    41915 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/random/upgrading-pcg64.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    45998 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/routines.array-creation.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    50957 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/routines.array-manipulation.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    27535 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/routines.bitwise.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    54450 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/routines.char.html
│ │ │ │ @@ -2610,15 +2610,15 @@
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    24374 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/routines.matlib.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    26288 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/routines.other.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    37419 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials-package.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    46847 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials.chebyshev.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    51499 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials.classes.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    43104 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials.hermite.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    43639 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials.hermite_e.html
│ │ │ │ --rw-r--r--   0 root         (0) root         (0)    47589 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials.html
│ │ │ │ +-rw-r--r--   0 root         (0) root         (0)    47585 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    43031 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials.laguerre.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    42812 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials.legendre.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    28772 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials.poly1d.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    41877 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials.polynomial.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    26623 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/routines.polynomials.polyutils.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    26761 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/routines.rec.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    26422 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/reference/routines.set.html
│ │ │ │ @@ -2753,15 +2753,15 @@
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    33612 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/release/2.1.3-notes.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    46107 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/release/2.2.0-notes.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    31471 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/release/2.2.1-notes.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    32138 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/release/2.2.2-notes.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    13407 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/release/template.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    90056 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/release.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    12397 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/search.html
│ │ │ │ --rw-r--r--   0 root         (0) root         (0)  2684893 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/searchindex.js
│ │ │ │ +-rw-r--r--   0 root         (0) root         (0)  2684885 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/searchindex.js
│ │ │ │  drwxr-xr-x   0 root         (0) root         (0)        0 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/user/
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)   177614 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/user/absolute_beginners.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    50529 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/user/basics.broadcasting.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    33464 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/user/basics.copies.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    64100 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/user/basics.creation.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    65763 2025-01-26 20:02:29.000000 ./usr/share/doc/python-numpy/html/user/basics.dispatch.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    18746 2025-01-26 20:02:29.000000 ./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">948 us +- 44.1 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ -<span class="go">2.53 ms +- 18 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">935 us +- 45.4 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">2.57 ms +- 164 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">802 us +- 22.8 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ -<span class="go">1.9 ms +- 45.7 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">809 us +- 26.8 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">1.82 ms +- 76.5 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">2.35 ms +- 26.6 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ -<span class="go">4.48 ms +- 24.6 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">2.33 ms +- 16.5 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">4.48 ms +- 20.5 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │  <ul class="simple">
│ │ │ │  <li><p><a class="reference internal" href="generated/numpy.random.Generator.integers.html#numpy.random.Generator.integers" title="numpy.random.Generator.integers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">integers</span></code></a> is now the canonical way to generate integer
│ │ │ │  random numbers from a discrete uniform distribution. This replaces both
│ │ │ │  <a class="reference internal" href="generated/numpy.random.randint.html#numpy.random.randint" title="numpy.random.randint"><code class="xref py py-obj docutils literal notranslate"><span class="pre">randint</span></code></a> and the deprecated <a class="reference internal" href="generated/numpy.random.random_integers.html#numpy.random.random_integers" title="numpy.random.random_integers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">random_integers</span></code></a>.</p></li>
│ │ │ │  <li><p>The <a class="reference internal" href="generated/numpy.random.rand.html#numpy.random.rand" title="numpy.random.rand"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rand</span></code></a> and <a class="reference internal" href="generated/numpy.random.randn.html#numpy.random.randn" title="numpy.random.randn"><code class="xref py py-obj docutils literal notranslate"><span class="pre">randn</span></code></a> methods are only available through the legacy
│ │ │ │ @@ -586,21 +586,21 @@
│ │ │ │  <li><p>Standard Exponentials (<a class="reference internal" href="generated/numpy.random.Generator.standard_exponential.html#numpy.random.Generator.standard_exponential" title="numpy.random.Generator.standard_exponential"><code class="xref py py-obj docutils literal notranslate"><span class="pre">standard_exponential</span></code></a>)</p></li>
│ │ │ │  </ul>
│ │ │ │  </li>
│ │ │ │  </ul>
│ │ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [6]: </span><span class="n">rng</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">default_rng</span><span class="p">()</span>
│ │ │ │  
│ │ │ │  <span class="gp">In [7]: </span><span class="n">rng</span><span class="o">.</span><span class="n">random</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float64</span><span class="p">)</span>
│ │ │ │ -<span class="gh">Out[7]: </span><span class="go">array([0.79819486, 0.355267  , 0.6147047 ])</span>
│ │ │ │ +<span class="gh">Out[7]: </span><span class="go">array([0.71252806, 0.30697903, 0.47754345])</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([0.81918645, 0.02769953, 0.48200166], dtype=float32)</span>
│ │ │ │ +<span class="gh">Out[8]: </span><span class="go">array([0.92524886, 0.79389125, 0.03102648], 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([165, 112, 106], dtype=uint8)</span>
│ │ │ │ +<span class="gh">Out[9]: </span><span class="go">array([150,   2,  17], 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([0.22958304, 0.1248007 ])</span>
│ │ │ │ +<span class="gh">Out[12]: </span><span class="go">array([0.15493638, 0.05857967])</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">[0.22958304 0.1248007  0.         0.        ]</span>
│ │ │ │ +<span class="go">[0.15493638 0.05857967 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([[ 0,  3,  1,  1,  3],</span>
│ │ │ │ -<span class="go">       [ 4,  7,  5,  5,  7],</span>
│ │ │ │ -<span class="go">       [ 8, 11,  9,  9, 11]])</span>
│ │ │ │ +<span class="go">array([[ 1,  3,  2,  2,  3],</span>
│ │ │ │ +<span class="go">       [ 5,  7,  6,  6,  7],</span>
│ │ │ │ +<span class="go">       [ 9, 11, 10, 10, 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([[ 2,  1,  3,  0],</span>
│ │ │ │ -<span class="go">       [ 6,  5,  7,  4],</span>
│ │ │ │ -<span class="go">       [10,  9, 11,  8]])</span>
│ │ │ │ +<span class="go">array([[ 0,  3,  2,  1],</span>
│ │ │ │ +<span class="go">       [ 4,  7,  6,  5],</span>
│ │ │ │ +<span class="go">       [ 8, 11, 10,  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)
│ │ │ │ │     ...:
│ │ │ │ │ -948 us +- 44.1 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ -2.53 ms +- 18 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +935 us +- 45.4 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +2.57 ms +- 164 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)
│ │ │ │ │     ...:
│ │ │ │ │ -802 us +- 22.8 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ -1.9 ms +- 45.7 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +809 us +- 26.8 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +1.82 ms +- 76.5 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)
│ │ │ │ │     ...:
│ │ │ │ │ -2.35 ms +- 26.6 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ -4.48 ms +- 24.6 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +2.33 ms +- 16.5 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +4.48 ms +- 20.5 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │      * _i_n_t_e_g_e_r_s is now the canonical way to generate integer random numbers from
│ │ │ │ │        a discrete uniform distribution. This replaces both _r_a_n_d_i_n_t and the
│ │ │ │ │        deprecated _r_a_n_d_o_m___i_n_t_e_g_e_r_s.
│ │ │ │ │      * The _r_a_n_d and _r_a_n_d_n methods are only available through the legacy
│ │ │ │ │        _R_a_n_d_o_m_S_t_a_t_e.
│ │ │ │ │      * _G_e_n_e_r_a_t_o_r_._r_a_n_d_o_m is now the canonical way to generate floating-point
│ │ │ │ │        random numbers, which replaces _R_a_n_d_o_m_S_t_a_t_e_._r_a_n_d_o_m___s_a_m_p_l_e, _s_a_m_p_l_e, and
│ │ │ │ │ @@ -140,38 +140,38 @@
│ │ │ │ │            o Uniforms (_r_a_n_d_o_m and _i_n_t_e_g_e_r_s)
│ │ │ │ │            o Normals (_s_t_a_n_d_a_r_d___n_o_r_m_a_l)
│ │ │ │ │            o Standard Gammas (_s_t_a_n_d_a_r_d___g_a_m_m_a)
│ │ │ │ │            o Standard Exponentials (_s_t_a_n_d_a_r_d___e_x_p_o_n_e_n_t_i_a_l)
│ │ │ │ │  In [6]: rng = np.random.default_rng()
│ │ │ │ │  
│ │ │ │ │  In [7]: rng.random(3, dtype=np.float64)
│ │ │ │ │ -Out[7]: array([0.79819486, 0.355267  , 0.6147047 ])
│ │ │ │ │ +Out[7]: array([0.71252806, 0.30697903, 0.47754345])
│ │ │ │ │  
│ │ │ │ │  In [8]: rng.random(3, dtype=np.float32)
│ │ │ │ │ -Out[8]: array([0.81918645, 0.02769953, 0.48200166], dtype=float32)
│ │ │ │ │ +Out[8]: array([0.92524886, 0.79389125, 0.03102648], dtype=float32)
│ │ │ │ │  
│ │ │ │ │  In [9]: rng.integers(0, 256, size=3, dtype=np.uint8)
│ │ │ │ │ -Out[9]: array([165, 112, 106], dtype=uint8)
│ │ │ │ │ +Out[9]: array([150,   2,  17], 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([0.22958304, 0.1248007 ])
│ │ │ │ │ +Out[12]: array([0.15493638, 0.05857967])
│ │ │ │ │  
│ │ │ │ │  In [13]: print(existing)
│ │ │ │ │ -[0.22958304 0.1248007  0.         0.        ]
│ │ │ │ │ +[0.15493638 0.05857967 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([[ 0,  3,  1,  1,  3],
│ │ │ │ │ -       [ 4,  7,  5,  5,  7],
│ │ │ │ │ -       [ 8, 11,  9,  9, 11]])
│ │ │ │ │ +array([[ 1,  3,  2,  2,  3],
│ │ │ │ │ +       [ 5,  7,  6,  6,  7],
│ │ │ │ │ +       [ 9, 11, 10, 10, 11]])
│ │ │ │ │  
│ │ │ │ │  In [18]: rng.shuffle(a, axis=1)        # Shuffle in-place
│ │ │ │ │  
│ │ │ │ │  In [19]: a
│ │ │ │ │  Out[19]:
│ │ │ │ │ -array([[ 2,  1,  3,  0],
│ │ │ │ │ -       [ 6,  5,  7,  4],
│ │ │ │ │ -       [10,  9, 11,  8]])
│ │ │ │ │ +array([[ 0,  3,  2,  1],
│ │ │ │ │ +       [ 4,  7,  6,  5],
│ │ │ │ │ +       [ 8, 11, 10,  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([ 1.05092886, -0.15072429])</span>
│ │ │ │ +<span class="gh">Out[4]: </span><span class="go">array([0.93116891, 0.6440683 ])</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([4.57845557, 4.72917986], domain=[0., 9.], window=[-1.,  1.], symbol=&#39;x&#39;)</span>
│ │ │ │ +<span class="gh">Out[6]: </span><span class="go">Polynomial([4.83432837, 4.19026008], 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([-0.15072429,  1.05092886], domain=[-1.,  1.], window=[-1.,  1.], symbol=&#39;x&#39;)</span>
│ │ │ │ +<span class="gh">Out[7]: </span><span class="go">Polynomial([0.6440683 , 0.93116891], 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([ 1.05092886, -0.15072429])
│ │ │ │ │ +Out[4]: array([0.93116891, 0.6440683 ])
│ │ │ │ │  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([4.57845557, 4.72917986], domain=[0., 9.], window=[-1.,
│ │ │ │ │ +Out[6]: Polynomial([4.83432837, 4.19026008], 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([-0.15072429,  1.05092886], domain=[-1.,  1.], window=[-1.,
│ │ │ │ │ +Out[7]: Polynomial([0.6440683 , 0.93116891], 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 {}
│ │ │ │ │ @@ -32356,18 +32356,18 @@
│ │ │ │ │          "023": 2642,
│ │ │ │ │          "02332573e": 54,
│ │ │ │ │          "0253": 2650,
│ │ │ │ │          "02654825": 1891,
│ │ │ │ │          "02658058e": 2664,
│ │ │ │ │          "02755911": 2664,
│ │ │ │ │          "027559113243068367": 2664,
│ │ │ │ │ -        "02769953": 2461,
│ │ │ │ │          "02785049": 1867,
│ │ │ │ │          "02i": [513, 2642],
│ │ │ │ │          "03": [55, 67, 163, 566, 669, 1335, 1586, 1816, 2656],
│ │ │ │ │ +        "03102648": 2461,
│ │ │ │ │          "03125": [1585, 2491],
│ │ │ │ │          "0326911": [2335, 2378, 2425],
│ │ │ │ │          "0361": 2607,
│ │ │ │ │          "03703704": 1809,
│ │ │ │ │          "03943254e": 2104,
│ │ │ │ │          "03968254": [1113, 1543],
│ │ │ │ │          "0396842": 680,
│ │ │ │ │ @@ -32377,20 +32377,20 @@
│ │ │ │ │          "04097352": 2633,
│ │ │ │ │          "04166667": [1544, 1585],
│ │ │ │ │          "04211c6": 2521,
│ │ │ │ │          "04551152e": 2104,
│ │ │ │ │          "04719755": 1911,
│ │ │ │ │          "05": [55, 91, 163, 410, 548, 669, 896, 1095, 1871, 2083, 2173, 2353, 2400, 2450, 2646],
│ │ │ │ │          "0500": 360,
│ │ │ │ │ -        "05092886": 2488,
│ │ │ │ │          "05093587": 2633,
│ │ │ │ │          "05208333": 1585,
│ │ │ │ │          "05263157894736836": 2257,
│ │ │ │ │          "0549999999999997": 2083,
│ │ │ │ │          "055": 2083,
│ │ │ │ │ +        "05857967": 2461,
│ │ │ │ │          "0596779": 1153,
│ │ │ │ │          "06": [55, 566, 2083, 2508],
│ │ │ │ │          "0614962j": [439, 453],
│ │ │ │ │          "0625": [418, 624, 1645],
│ │ │ │ │          "06369197489564249": 2458,
│ │ │ │ │          "06381726": 349,
│ │ │ │ │          "0660": [302, 2131],
│ │ │ │ │ @@ -32533,15 +32533,15 @@
│ │ │ │ │          "10558": 2536,
│ │ │ │ │          "10559": 2536,
│ │ │ │ │          "10560": 2536,
│ │ │ │ │          "10561": 2536,
│ │ │ │ │          "10562": 2536,
│ │ │ │ │          "10563": 2536,
│ │ │ │ │          "1057109529998157": 2664,
│ │ │ │ │ -        "106": [55, 524, 2461],
│ │ │ │ │ +        "106": [55, 524],
│ │ │ │ │          "10607": 2536,
│ │ │ │ │          "10608": 2536,
│ │ │ │ │          "10609": 2536,
│ │ │ │ │          "10610": 2536,
│ │ │ │ │          "10612": 2536,
│ │ │ │ │          "10615": 2599,
│ │ │ │ │          "10622": 2536,
│ │ │ │ │ @@ -32595,15 +32595,15 @@
│ │ │ │ │          "1111111111110010": [142, 546],
│ │ │ │ │          "11170": 2539,
│ │ │ │ │          "11174": 2539,
│ │ │ │ │          "11181": 2539,
│ │ │ │ │          "11194": 2539,
│ │ │ │ │          "11198": 2539,
│ │ │ │ │          "11199": 2539,
│ │ │ │ │ -        "112": [333, 2158, 2461, 2463, 2664],
│ │ │ │ │ +        "112": [333, 2158, 2463, 2664],
│ │ │ │ │          "11203": 2539,
│ │ │ │ │          "11210": 2542,
│ │ │ │ │          "11211": 2539,
│ │ │ │ │          "11218": 2542,
│ │ │ │ │          "11219": 2539,
│ │ │ │ │          "11251": 2539,
│ │ │ │ │          "11274": 2540,
│ │ │ │ │ @@ -32709,15 +32709,14 @@
│ │ │ │ │          "123456789a12": 25,
│ │ │ │ │          "123456789a123456789b": 25,
│ │ │ │ │          "1234567e": 2172,
│ │ │ │ │          "12346": 2462,
│ │ │ │ │          "1235": 2091,
│ │ │ │ │          "123abc": [302, 305, 2131, 2134],
│ │ │ │ │          "124": [98, 905],
│ │ │ │ │ -        "1248007": 2461,
│ │ │ │ │          "125": [470, 660, 1114, 1142, 1645, 1651, 1899, 1900, 2239, 2339, 2382, 2429, 2460, 2491, 2657, 2664],
│ │ │ │ │          "12589991e": 645,
│ │ │ │ │          "126": [863, 1048, 1116, 1904],
│ │ │ │ │          "1261": 2612,
│ │ │ │ │          "12658": 2560,
│ │ │ │ │          "12697628": 2633,
│ │ │ │ │          "127": [62, 66, 514, 863, 1048, 1102, 1116, 1904, 2301, 2302, 2462, 2463, 2464, 2583, 2637],
│ │ │ │ │ @@ -32966,23 +32965,22 @@
│ │ │ │ │          "14993": 2559,
│ │ │ │ │          "14995": 2566,
│ │ │ │ │          "14996": 2560,
│ │ │ │ │          "14j": 1915,
│ │ │ │ │          "14t15": 55,
│ │ │ │ │          "14x": 2583,
│ │ │ │ │          "15": [47, 54, 55, 58, 59, 61, 98, 107, 108, 141, 270, 329, 357, 359, 366, 367, 371, 375, 409, 443, 448, 470, 477, 489, 530, 645, 652, 653, 655, 661, 671, 756, 880, 893, 905, 963, 1069, 1083, 1114, 1143, 1229, 1247, 1312, 1466, 1483, 1591, 1695, 1704, 1886, 1899, 1900, 1986, 2089, 2115, 2154, 2162, 2168, 2170, 2204, 2205, 2206, 2209, 2210, 2223, 2224, 2225, 2237, 2240, 2246, 2316, 2327, 2341, 2342, 2355, 2361, 2372, 2384, 2390, 2402, 2408, 2419, 2431, 2438, 2452, 2457, 2461, 2463, 2513, 2515, 2519, 2536, 2538, 2539, 2547, 2560, 2562, 2563, 2564, 2565, 2567, 2573, 2575, 2583, 2587, 2588, 2590, 2591, 2602, 2604, 2622, 2623, 2628, 2633, 2635, 2636, 2639, 2643, 2655, 2657, 2664],
│ │ │ │ │ -        "150": [363, 2463],
│ │ │ │ │ +        "150": [363, 2461, 2463],
│ │ │ │ │          "1500000": 2633,
│ │ │ │ │          "15006": 2588,
│ │ │ │ │          "15012": 2560,
│ │ │ │ │          "15028c96": 2666,
│ │ │ │ │          "15038": 2559,
│ │ │ │ │          "15067": 2559,
│ │ │ │ │          "15068": 2560,
│ │ │ │ │ -        "15072429": 2488,
│ │ │ │ │          "151": [2358, 2405, 2455, 2463],
│ │ │ │ │          "15113": 2560,
│ │ │ │ │          "15118": 2566,
│ │ │ │ │          "15119": 2566,
│ │ │ │ │          "15121": 2572,
│ │ │ │ │          "15158": 2561,
│ │ │ │ │          "15159": 2561,
│ │ │ │ │ @@ -33016,14 +33014,15 @@
│ │ │ │ │          "15302337": 523,
│ │ │ │ │          "1534": 485,
│ │ │ │ │          "15355": 2566,
│ │ │ │ │          "15385": 2566,
│ │ │ │ │          "154": [2463, 2664],
│ │ │ │ │          "15427": 2566,
│ │ │ │ │          "15463": 2566,
│ │ │ │ │ +        "15493638": 2461,
│ │ │ │ │          "155": [2463, 2635],
│ │ │ │ │          "15534": 2566,
│ │ │ │ │          "15648": 2566,
│ │ │ │ │          "15666": 2572,
│ │ │ │ │          "15675": 2562,
│ │ │ │ │          "15676": 2562,
│ │ │ │ │          "15677": 2562,
│ │ │ │ │ @@ -33096,21 +33095,20 @@
│ │ │ │ │          "16200": 2572,
│ │ │ │ │          "1621": [1913, 2236],
│ │ │ │ │          "1622776601683795": 637,
│ │ │ │ │          "16232": 2572,
│ │ │ │ │          "16236208e": 2104,
│ │ │ │ │          "16350": 2572,
│ │ │ │ │          "16354": 2658,
│ │ │ │ │ -        "164": 675,
│ │ │ │ │ +        "164": [675, 2461],
│ │ │ │ │          "16434881e": 2104,
│ │ │ │ │          "16439": 2565,
│ │ │ │ │          "16441": 2565,
│ │ │ │ │          "16476": 2572,
│ │ │ │ │          "16484065": 1154,
│ │ │ │ │ -        "165": 2461,
│ │ │ │ │          "16515": 2572,
│ │ │ │ │          "16519": 2572,
│ │ │ │ │          "1654503": [2345, 2391, 2439],
│ │ │ │ │          "16551": 2566,
│ │ │ │ │          "16554": 2572,
│ │ │ │ │          "16558": 2572,
│ │ │ │ │          "16570": 2572,
│ │ │ │ │ @@ -33356,14 +33354,15 @@
│ │ │ │ │          "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, 2633, 2639, 2643, 2655, 2664],
│ │ │ │ │          "190": 544,
│ │ │ │ │          "19001": 2576,
│ │ │ │ │ +        "19026008": 2488,
│ │ │ │ │          "19029263503854454": 2348,
│ │ │ │ │          "19031": 2576,
│ │ │ │ │          "19049": 2576,
│ │ │ │ │          "1905": 2612,
│ │ │ │ │          "19062": 2583,
│ │ │ │ │          "1908": [2353, 2400, 2450],
│ │ │ │ │          "19083": 2583,
│ │ │ │ │ @@ -33508,15 +33507,15 @@
│ │ │ │ │          "1l_0": 1822,
│ │ │ │ │          "1rc1": 577,
│ │ │ │ │          "1st": [36, 74, 642, 2616, 2635, 2639],
│ │ │ │ │          "1th": [661, 2168],
│ │ │ │ │          "1type": 2554,
│ │ │ │ │          "1xn": 2663,
│ │ │ │ │          "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, 2633, 2635, 2639, 2640, 2643, 2655, 2656, 2664],
│ │ │ │ │ +        "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, 2633, 2635, 2639, 2640, 2643, 2655, 2656, 2664],
│ │ │ │ │          "200": [441, 446, 2337, 2339, 2346, 2354, 2357, 2380, 2382, 2392, 2401, 2404, 2427, 2429, 2441, 2451, 2454, 2643, 2646, 2664],
│ │ │ │ │          "2000": [514, 526, 2525, 2613],
│ │ │ │ │          "20000": [2316, 2359, 2361, 2406, 2408, 2456, 2583],
│ │ │ │ │          "2000000": 2633,
│ │ │ │ │          "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],
│ │ │ │ │ @@ -33742,15 +33741,15 @@
│ │ │ │ │          "219": 2463,
│ │ │ │ │          "21925": 2594,
│ │ │ │ │          "21949": 2589,
│ │ │ │ │          "21951": 2589,
│ │ │ │ │          "21952": 2589,
│ │ │ │ │          "21976": 2594,
│ │ │ │ │          "21995": 2594,
│ │ │ │ │ -        "22": [21, 22, 29, 30, 40, 47, 52, 54, 55, 58, 59, 98, 107, 108, 109, 163, 270, 336, 378, 425, 485, 628, 658, 669, 880, 905, 1045, 1069, 1113, 1211, 1229, 1294, 1312, 1336, 1337, 1340, 1341, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1358, 1448, 1466, 1514, 1521, 1522, 1543, 1591, 1905, 1908, 1913, 1968, 1986, 2091, 2208, 2236, 2237, 2342, 2461, 2513, 2517, 2519, 2534, 2588, 2633, 2635, 2639, 2655, 2664],
│ │ │ │ │ +        "22": [21, 22, 29, 30, 40, 47, 52, 54, 55, 58, 59, 98, 107, 108, 109, 163, 270, 336, 378, 425, 485, 628, 658, 669, 880, 905, 1045, 1069, 1113, 1211, 1229, 1294, 1312, 1336, 1337, 1340, 1341, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1358, 1448, 1466, 1514, 1521, 1522, 1543, 1591, 1905, 1908, 1913, 1968, 1986, 2091, 2208, 2236, 2237, 2342, 2513, 2517, 2519, 2534, 2588, 2633, 2635, 2639, 2655, 2664],
│ │ │ │ │          "220": [2238, 2576],
│ │ │ │ │          "22004": 2594,
│ │ │ │ │          "22014": 2594,
│ │ │ │ │          "22030": 2590,
│ │ │ │ │          "22031": 2590,
│ │ │ │ │          "22032": 2590,
│ │ │ │ │          "22033": 2590,
│ │ │ │ │ @@ -33874,15 +33873,14 @@
│ │ │ │ │          "22867": 2595,
│ │ │ │ │          "22868": 2595,
│ │ │ │ │          "22875": 2595,
│ │ │ │ │          "22877": 2595,
│ │ │ │ │          "22883": 2595,
│ │ │ │ │          "22884": 2595,
│ │ │ │ │          "22887": 2595,
│ │ │ │ │ -        "22958304": 2461,
│ │ │ │ │          "22959": 2596,
│ │ │ │ │          "22963": 2599,
│ │ │ │ │          "22965": 2596,
│ │ │ │ │          "22966": 2596,
│ │ │ │ │          "22967": 2596,
│ │ │ │ │          "22968": 2596,
│ │ │ │ │          "22969": 2596,
│ │ │ │ │ @@ -33986,15 +33984,15 @@
│ │ │ │ │          "23936": 2622,
│ │ │ │ │          "2394691": 2312,
│ │ │ │ │          "23968": 2600,
│ │ │ │ │          "23994": 2598,
│ │ │ │ │          "23998": 2622,
│ │ │ │ │          "23e": 477,
│ │ │ │ │          "23e24": 477,
│ │ │ │ │ -        "24": [10, 38, 47, 54, 55, 56, 58, 59, 62, 67, 98, 107, 108, 355, 356, 358, 408, 409, 477, 528, 531, 541, 542, 567, 638, 661, 662, 664, 838, 905, 939, 964, 968, 969, 1010, 1133, 1144, 1546, 1577, 1607, 1664, 1721, 1778, 1835, 1864, 1883, 1902, 2100, 2114, 2168, 2175, 2200, 2208, 2223, 2225, 2226, 2230, 2237, 2247, 2342, 2461, 2463, 2513, 2519, 2543, 2555, 2622, 2623, 2633, 2639, 2643, 2647, 2650, 2655, 2657, 2664, 2666],
│ │ │ │ │ +        "24": [10, 38, 47, 54, 55, 56, 58, 59, 62, 67, 98, 107, 108, 355, 356, 358, 408, 409, 477, 528, 531, 541, 542, 567, 638, 661, 662, 664, 838, 905, 939, 964, 968, 969, 1010, 1133, 1144, 1546, 1577, 1607, 1664, 1721, 1778, 1835, 1864, 1883, 1902, 2100, 2114, 2168, 2175, 2200, 2208, 2223, 2225, 2226, 2230, 2237, 2247, 2342, 2463, 2513, 2519, 2543, 2555, 2622, 2623, 2633, 2639, 2643, 2647, 2650, 2655, 2657, 2664, 2666],
│ │ │ │ │          "240": [57, 363],
│ │ │ │ │          "24011": 2622,
│ │ │ │ │          "24018": 2622,
│ │ │ │ │          "2403": 2615,
│ │ │ │ │          "24036": 2600,
│ │ │ │ │          "24037": 2600,
│ │ │ │ │          "24038": 2600,
│ │ │ │ │ @@ -34612,14 +34610,15 @@
│ │ │ │ │          "30278462": 1154,
│ │ │ │ │          "3039": 2614,
│ │ │ │ │          "304": 22,
│ │ │ │ │          "30464": 2094,
│ │ │ │ │          "30498948e": 2664,
│ │ │ │ │          "305": [421, 948],
│ │ │ │ │          "3057": 2615,
│ │ │ │ │ +        "30697903": 2461,
│ │ │ │ │          "307": [1149, 2664],
│ │ │ │ │          "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, 2635, 2639, 2655, 2664],
│ │ │ │ │ @@ -34660,15 +34659,15 @@
│ │ │ │ │          "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,
│ │ │ │ │ -        "33": [54, 58, 144, 336, 838, 939, 941, 1010, 1907, 1922, 1999, 2173, 2175, 2176, 2208, 2303, 2513, 2621, 2635, 2639, 2655, 2664],
│ │ │ │ │ +        "33": [54, 58, 144, 336, 838, 939, 941, 1010, 1907, 1922, 1999, 2173, 2175, 2176, 2208, 2303, 2461, 2513, 2621, 2635, 2639, 2655, 2664],
│ │ │ │ │          "330": 363,
│ │ │ │ │          "3301": 2615,
│ │ │ │ │          "330m": 409,
│ │ │ │ │          "3312": 2615,
│ │ │ │ │          "3324": [13, 2615],
│ │ │ │ │          "333": [652, 950, 2173],
│ │ │ │ │          "33333": [2173, 2175],
│ │ │ │ │ @@ -34702,22 +34701,21 @@
│ │ │ │ │          "34784527": 2633,
│ │ │ │ │          "3480": 2615,
│ │ │ │ │          "3484692283495345": [648, 653],
│ │ │ │ │          "34889999999999999": [2325, 2369, 2416],
│ │ │ │ │          "34890909": 523,
│ │ │ │ │          "34960421": 680,
│ │ │ │ │          "3497": 2615,
│ │ │ │ │ -        "35": [409, 489, 669, 870, 1056, 2204, 2325, 2369, 2416, 2461, 2572, 2633, 2639, 2655, 2664],
│ │ │ │ │ +        "35": [409, 489, 669, 870, 1056, 2204, 2325, 2369, 2416, 2572, 2633, 2639, 2655, 2664],
│ │ │ │ │          "350": [544, 635],
│ │ │ │ │          "3504": 2617,
│ │ │ │ │          "3534857623790153": 666,
│ │ │ │ │          "35355339": 1636,
│ │ │ │ │          "3541": 2615,
│ │ │ │ │          "35489284e": 2104,
│ │ │ │ │ -        "355267": 2461,
│ │ │ │ │          "36": [58, 137, 355, 1752, 1761, 2204, 2225, 2323, 2367, 2414, 2463, 2491, 2536, 2647, 2655, 2657, 2664],
│ │ │ │ │          "360": [544, 2103, 2238, 2576],
│ │ │ │ │          "36045180e": 147,
│ │ │ │ │          "3608": 2615,
│ │ │ │ │          "361": [1344, 1346, 1522, 1908],
│ │ │ │ │          "362": 12,
│ │ │ │ │          "3628523": 2458,
│ │ │ │ │ @@ -34860,15 +34858,15 @@
│ │ │ │ │          "4354": 2617,
│ │ │ │ │          "4359": 2617,
│ │ │ │ │          "4368": [287, 1241, 1324, 1478, 1998],
│ │ │ │ │          "4375": 2491,
│ │ │ │ │          "43857224": 1153,
│ │ │ │ │          "43887844": [349, 2457, 2637],
│ │ │ │ │          "43999999999998": 1114,
│ │ │ │ │ -        "44": [16, 1525, 1758, 1905, 1907, 1922, 2208, 2461, 2463, 2624, 2655, 2656, 2657, 2664],
│ │ │ │ │ +        "44": [16, 1525, 1758, 1905, 1907, 1922, 2208, 2463, 2624, 2655, 2656, 2657, 2664],
│ │ │ │ │          "440": [10, 2520],
│ │ │ │ │          "4400": [409, 661, 2168],
│ │ │ │ │          "44069024": 349,
│ │ │ │ │          "4408": 2617,
│ │ │ │ │          "44089210e": 1527,
│ │ │ │ │          "4408921e": [1765, 2175],
│ │ │ │ │          "4409e": 2091,
│ │ │ │ │ @@ -34933,23 +34931,23 @@
│ │ │ │ │          "4723": 2621,
│ │ │ │ │          "4730": [409, 661, 2168],
│ │ │ │ │          "4733": 2618,
│ │ │ │ │          "47458546": 349,
│ │ │ │ │          "47536961": 349,
│ │ │ │ │          "47613949": [2335, 2378, 2425],
│ │ │ │ │          "4774": 2618,
│ │ │ │ │ +        "47754345": 2461,
│ │ │ │ │          "479": 2620,
│ │ │ │ │          "4796": [409, 661, 2168],
│ │ │ │ │          "48": [58, 270, 355, 880, 1069, 1142, 1229, 1312, 1466, 1867, 1986, 2208, 2239, 2323, 2367, 2414, 2461, 2655, 2657],
│ │ │ │ │          "480": [238, 858, 1041, 1207, 1290, 1444, 1964],
│ │ │ │ │          "4800": 57,
│ │ │ │ │          "48000000": 2633,
│ │ │ │ │          "4809319": 1153,
│ │ │ │ │          "4816": [99, 906],
│ │ │ │ │ -        "48200166": 2461,
│ │ │ │ │          "48219694e": [421, 948],
│ │ │ │ │          "4836": 2618,
│ │ │ │ │          "484": [2517, 2583, 2625],
│ │ │ │ │          "4853": 2618,
│ │ │ │ │          "4861946401452": 2334,
│ │ │ │ │          "4874": [409, 661, 2168],
│ │ │ │ │          "4882": [287, 1241, 1324, 1478, 1998],
│ │ │ │ │ @@ -35033,15 +35031,15 @@
│ │ │ │ │          "52359878": 1911,
│ │ │ │ │          "52380952e": 1816,
│ │ │ │ │          "5240": 2620,
│ │ │ │ │          "5251": 2620,
│ │ │ │ │          "526": 2463,
│ │ │ │ │          "5260": [2353, 2400, 2450],
│ │ │ │ │          "5271": 42,
│ │ │ │ │ -        "53": [162, 457, 1638, 2208, 2461, 2551, 2554, 2655, 2664],
│ │ │ │ │ +        "53": [162, 457, 1638, 2208, 2551, 2554, 2655, 2664],
│ │ │ │ │          "5306": [409, 661, 2168],
│ │ │ │ │          "5313": 2621,
│ │ │ │ │          "5316": 2621,
│ │ │ │ │          "5324j": [416, 417, 622, 623],
│ │ │ │ │          "5354": 2621,
│ │ │ │ │          "5359": 2621,
│ │ │ │ │          "5363922081269535": 2458,
│ │ │ │ │ @@ -35092,26 +35090,25 @@
│ │ │ │ │          "5620499351813308": 86,
│ │ │ │ │          "5625": 2491,
│ │ │ │ │          "56294995342131": 2083,
│ │ │ │ │          "5640": [2353, 2400, 2450],
│ │ │ │ │          "567": 2642,
│ │ │ │ │          "56826729e": 2104,
│ │ │ │ │          "56917101": 2633,
│ │ │ │ │ -        "57": [58, 669, 2204, 2322, 2366, 2413, 2463, 2491, 2635, 2655],
│ │ │ │ │ +        "57": [58, 669, 2204, 2322, 2366, 2413, 2461, 2463, 2491, 2635, 2655],
│ │ │ │ │          "5707963267948966": [102, 125],
│ │ │ │ │          "57079633": [94, 105, 130, 1911, 2238, 2664],
│ │ │ │ │          "5708": [412, 618],
│ │ │ │ │          "57115742": 524,
│ │ │ │ │          "57136612e": 2173,
│ │ │ │ │          "57510612": 660,
│ │ │ │ │          "576": 2615,
│ │ │ │ │          "57721": [2326, 2371, 2418],
│ │ │ │ │          "5772156649015328606065120900824024310421": 76,
│ │ │ │ │          "5773": 2522,
│ │ │ │ │ -        "57845557": 2488,
│ │ │ │ │          "57860025": 1154,
│ │ │ │ │          "579365079365115": [1113, 1543],
│ │ │ │ │          "57x": 2594,
│ │ │ │ │          "58": [669, 1748, 1777, 2204, 2208, 2332, 2376, 2423, 2464, 2572, 2633, 2655],
│ │ │ │ │          "582892": 2633,
│ │ │ │ │          "58289208": 2633,
│ │ │ │ │          "584388": 55,
│ │ │ │ │ @@ -35149,15 +35146,14 @@
│ │ │ │ │          "6094": 2522,
│ │ │ │ │          "60x": 2599,
│ │ │ │ │          "61": [13, 2655],
│ │ │ │ │          "610": 28,
│ │ │ │ │          "61119": 2098,
│ │ │ │ │          "614064523559687": 2115,
│ │ │ │ │          "6143849206349179": [1113, 1543],
│ │ │ │ │ -        "6147047": 2461,
│ │ │ │ │          "6176": [99, 906],
│ │ │ │ │          "61799388": 1911,
│ │ │ │ │          "618": 669,
│ │ │ │ │          "6180": [2353, 2400, 2450],
│ │ │ │ │          "61988120985": [2323, 2367, 2414],
│ │ │ │ │          "61c54bbd": 42,
│ │ │ │ │          "62": [542, 968, 969, 2323, 2333, 2367, 2377, 2414, 2424, 2655],
│ │ │ │ │ @@ -35181,14 +35177,15 @@
│ │ │ │ │          "6376": 2522,
│ │ │ │ │          "6390": [2353, 2400, 2450],
│ │ │ │ │          "64": [1, 5, 13, 21, 30, 50, 55, 56, 59, 61, 62, 63, 65, 66, 69, 74, 79, 315, 339, 409, 457, 470, 514, 584, 660, 669, 944, 1345, 1348, 1519, 1899, 1900, 2076, 2083, 2143, 2261, 2262, 2264, 2268, 2269, 2273, 2274, 2278, 2279, 2283, 2284, 2287, 2288, 2299, 2300, 2303, 2304, 2314, 2328, 2458, 2462, 2464, 2513, 2520, 2542, 2547, 2578, 2579, 2580, 2583, 2599, 2602, 2603, 2610, 2615, 2616, 2633, 2637, 2646, 2647, 2655, 2657, 2663, 2664],
│ │ │ │ │          "64023025": 2098,
│ │ │ │ │          "6416010000000001": 1114,
│ │ │ │ │          "64386512": 349,
│ │ │ │ │          "64402274e": 660,
│ │ │ │ │ +        "6440683": 2488,
│ │ │ │ │          "6446": [2550, 2554],
│ │ │ │ │          "646": [2517, 2576],
│ │ │ │ │          "6460": 2522,
│ │ │ │ │          "6462": 2522,
│ │ │ │ │          "6467": 2522,
│ │ │ │ │          "6468": 2522,
│ │ │ │ │          "6470": 2522,
│ │ │ │ │ @@ -35348,14 +35345,15 @@
│ │ │ │ │          "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, 2655],
│ │ │ │ │          "71080601": 2657,
│ │ │ │ │          "71238898": 1911,
│ │ │ │ │ +        "71252806": 2461,
│ │ │ │ │          "71387850e": 1586,
│ │ │ │ │          "718281": 431,
│ │ │ │ │          "71828182845904523536028747135266249775724709369995": 76,
│ │ │ │ │          "71828183": [38, 2664],
│ │ │ │ │          "718282": 2640,
│ │ │ │ │          "7183": 2640,
│ │ │ │ │          "7185": [99, 906],
│ │ │ │ │ @@ -35368,15 +35366,14 @@
│ │ │ │ │          "72538256": [103, 126],
│ │ │ │ │          "72686684e": 566,
│ │ │ │ │          "72717132": 2657,
│ │ │ │ │          "72727273": 136,
│ │ │ │ │          "72847407": 1154,
│ │ │ │ │          "729": 2664,
│ │ │ │ │          "72904971": 1153,
│ │ │ │ │ -        "72917986": 2488,
│ │ │ │ │          "72949656": 2633,
│ │ │ │ │          "73": [2463, 2655],
│ │ │ │ │          "7320508075688772j": 59,
│ │ │ │ │          "73472348e": 1816,
│ │ │ │ │          "73496154e": 1867,
│ │ │ │ │          "73603959e": 2664,
│ │ │ │ │          "73799541": 1153,
│ │ │ │ │ @@ -35407,15 +35404,15 @@
│ │ │ │ │          "7568025": 2664,
│ │ │ │ │          "75682846": 2657,
│ │ │ │ │          "7578": 2526,
│ │ │ │ │          "7590": 2526,
│ │ │ │ │          "75958653": 1911,
│ │ │ │ │          "7597": 2526,
│ │ │ │ │          "75j": 2657,
│ │ │ │ │ -        "76": [541, 1897, 2463, 2655, 2657],
│ │ │ │ │ +        "76": [541, 1897, 2461, 2463, 2655, 2657],
│ │ │ │ │          "7608": 2526,
│ │ │ │ │          "7611397": [349, 2457, 2637],
│ │ │ │ │          "76190476e": 1816,
│ │ │ │ │          "76322758": 1154,
│ │ │ │ │          "7638": 2526,
│ │ │ │ │          "76425276e": 1149,
│ │ │ │ │          "76492172": 349,
│ │ │ │ │ @@ -35471,57 +35468,56 @@
│ │ │ │ │          "79": [13, 87, 100, 104, 129, 2655],
│ │ │ │ │          "79033856e": 1149,
│ │ │ │ │          "7904": 2527,
│ │ │ │ │          "7917": 2527,
│ │ │ │ │          "7919": 2527,
│ │ │ │ │          "7920": [1212, 2527],
│ │ │ │ │          "7932": 2527,
│ │ │ │ │ +        "79389125": 2461,
│ │ │ │ │          "7939": 2527,
│ │ │ │ │          "79479508": [2345, 2391, 2439],
│ │ │ │ │          "795": 650,
│ │ │ │ │          "7953": 2527,
│ │ │ │ │          "7954": 2527,
│ │ │ │ │          "7955": 2527,
│ │ │ │ │          "79579319e": 1867,
│ │ │ │ │          "79694221e": 1586,
│ │ │ │ │          "7972": 2527,
│ │ │ │ │          "7976931348623157e": 1335,
│ │ │ │ │          "79769313e": 1335,
│ │ │ │ │ -        "79819486": 2461,
│ │ │ │ │          "79ff": [102, 125],
│ │ │ │ │          "7e": 669,
│ │ │ │ │          "7e13": 55,
│ │ │ │ │          "7e17": 55,
│ │ │ │ │          "7x": [2566, 2599],
│ │ │ │ │          "8": [9, 11, 13, 17, 18, 24, 26, 28, 30, 31, 32, 34, 36, 38, 39, 43, 47, 50, 56, 57, 58, 59, 60, 61, 62, 69, 72, 73, 74, 76, 89, 91, 96, 97, 98, 99, 114, 117, 118, 119, 132, 135, 141, 142, 149, 150, 169, 171, 172, 173, 209, 215, 229, 234, 261, 262, 270, 295, 313, 315, 320, 331, 332, 334, 337, 348, 355, 364, 365, 366, 367, 369, 370, 375, 385, 387, 391, 396, 399, 401, 406, 409, 410, 416, 417, 432, 435, 438, 440, 454, 455, 467, 470, 478, 486, 514, 520, 529, 530, 533, 538, 541, 543, 544, 546, 548, 554, 565, 566, 577, 608, 622, 623, 639, 640, 645, 651, 653, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 680, 830, 854, 860, 863, 864, 865, 873, 880, 881, 883, 886, 887, 888, 893, 896, 903, 904, 905, 906, 912, 913, 914, 917, 919, 920, 921, 924, 926, 927, 936, 943, 950, 952, 953, 957, 963, 1002, 1027, 1029, 1035, 1044, 1048, 1049, 1050, 1060, 1061, 1069, 1070, 1072, 1076, 1077, 1078, 1083, 1100, 1104, 1106, 1107, 1111, 1112, 1113, 1116, 1119, 1122, 1123, 1124, 1135, 1142, 1143, 1145, 1148, 1159, 1160, 1161, 1164, 1166, 1167, 1193, 1194, 1195, 1198, 1202, 1203, 1204, 1205, 1206, 1212, 1213, 1223, 1224, 1228, 1229, 1236, 1240, 1242, 1243, 1246, 1249, 1281, 1285, 1286, 1306, 1307, 1312, 1334, 1435, 1439, 1440, 1460, 1461, 1466, 1482, 1510, 1512, 1518, 1520, 1521, 1543, 1574, 1578, 1579, 1585, 1586, 1590, 1591, 1604, 1605, 1637, 1639, 1644, 1649, 1656, 1661, 1662, 1696, 1706, 1718, 1719, 1752, 1753, 1758, 1761, 1763, 1765, 1770, 1775, 1776, 1809, 1810, 1816, 1819, 1820, 1832, 1833, 1865, 1866, 1867, 1870, 1873, 1875, 1882, 1884, 1886, 1887, 1888, 1899, 1900, 1902, 1904, 1908, 1912, 1913, 1914, 1916, 1955, 1959, 1960, 1980, 1981, 1986, 2076, 2079, 2082, 2085, 2087, 2091, 2095, 2104, 2107, 2110, 2115, 2116, 2124, 2141, 2143, 2148, 2156, 2157, 2159, 2164, 2168, 2172, 2200, 2202, 2204, 2205, 2206, 2208, 2209, 2210, 2223, 2224, 2225, 2236, 2237, 2238, 2239, 2240, 2242, 2246, 2248, 2256, 2257, 2290, 2308, 2312, 2313, 2320, 2328, 2329, 2334, 2335, 2341, 2342, 2347, 2354, 2373, 2378, 2384, 2388, 2390, 2394, 2395, 2401, 2420, 2425, 2431, 2435, 2438, 2444, 2445, 2451, 2457, 2458, 2460, 2461, 2463, 2470, 2508, 2513, 2519, 2525, 2535, 2538, 2542, 2544, 2545, 2547, 2554, 2555, 2556, 2557, 2558, 2559, 2560, 2561, 2562, 2563, 2564, 2565, 2566, 2567, 2568, 2569, 2571, 2572, 2573, 2576, 2579, 2580, 2583, 2584, 2585, 2586, 2587, 2589, 2590, 2591, 2592, 2593, 2594, 2595, 2596, 2597, 2598, 2599, 2613, 2615, 2619, 2622, 2623, 2631, 2633, 2635, 2636, 2637, 2639, 2640, 2642, 2643, 2644, 2646, 2647, 2651, 2653, 2655, 2656, 2657, 2658, 2663, 2664],
│ │ │ │ │          "80": [69, 396, 409, 446, 977, 2248, 2346, 2357, 2383, 2392, 2404, 2430, 2441, 2454, 2588, 2622, 2646, 2647, 2655],
│ │ │ │ │          "800": [2335, 2378, 2425],
│ │ │ │ │          "8000": [2350, 2352, 2397, 2399, 2447, 2449],
│ │ │ │ │          "80000000000000204": [1113, 1543],
│ │ │ │ │          "8005": 2527,
│ │ │ │ │          "801": [941, 1114, 1123, 1124, 1131],
│ │ │ │ │          "8010": 2527,
│ │ │ │ │ -        "802": 2461,
│ │ │ │ │          "8020": 2527,
│ │ │ │ │          "8024": 2527,
│ │ │ │ │          "8031": 2527,
│ │ │ │ │          "804": 2508,
│ │ │ │ │          "8044": 2527,
│ │ │ │ │          "8058837395885292": 666,
│ │ │ │ │ +        "809": 2461,
│ │ │ │ │          "80b3a34": 2614,
│ │ │ │ │          "81": [1650, 1884, 2633, 2639, 2643, 2655, 2664],
│ │ │ │ │          "81299683": 2633,
│ │ │ │ │          "812997": 2633,
│ │ │ │ │          "813": [270, 880, 1069, 1229, 1312, 1466, 1986],
│ │ │ │ │          "81327024": 2633,
│ │ │ │ │          "81349206": [1113, 1543],
│ │ │ │ │          "81814867": [2339, 2352, 2382, 2389, 2399, 2429, 2436, 2449],
│ │ │ │ │ -        "81918645": 2461,
│ │ │ │ │          "8192": [72, 517, 2092, 2619],
│ │ │ │ │ -        "82": [1650, 2323, 2367, 2414, 2463, 2655, 2664],
│ │ │ │ │ +        "82": [1650, 2323, 2367, 2414, 2461, 2463, 2655, 2664],
│ │ │ │ │          "8207540608310198": [2353, 2400, 2450],
│ │ │ │ │          "82276161": 349,
│ │ │ │ │          "8230": [2353, 2400, 2450],
│ │ │ │ │          "82485143": 2633,
│ │ │ │ │          "82502011": 349,
│ │ │ │ │          "8255": 2566,
│ │ │ │ │          "826716f": 2521,
│ │ │ │ │ @@ -35531,14 +35527,15 @@
│ │ │ │ │          "827941": [514, 680, 2657],
│ │ │ │ │          "82842712": [642, 644],
│ │ │ │ │          "83": [2105, 2167, 2353, 2400, 2450, 2554, 2655],
│ │ │ │ │          "83314899": 1154,
│ │ │ │ │          "83333333": 1702,
│ │ │ │ │          "833333333333333": [893, 1083, 1143, 2240],
│ │ │ │ │          "8341": 2528,
│ │ │ │ │ +        "83432837": 2488,
│ │ │ │ │          "8346": 2528,
│ │ │ │ │          "83571711": 349,
│ │ │ │ │          "83697020e": [470, 1899, 1900],
│ │ │ │ │          "84": [2655, 2657],
│ │ │ │ │          "840": 1212,
│ │ │ │ │          "84057254": [2339, 2352, 2382, 2389, 2399, 2429, 2436, 2449],
│ │ │ │ │          "84090247": 2458,
│ │ │ │ │ @@ -35621,31 +35618,34 @@
│ │ │ │ │          "9223372036854775807": 2646,
│ │ │ │ │          "9223372036854775808": 2646,
│ │ │ │ │          "92346708": 349,
│ │ │ │ │          "92362781e": 2104,
│ │ │ │ │          "92387953": 642,
│ │ │ │ │          "92387953j": 642,
│ │ │ │ │          "9240": 2532,
│ │ │ │ │ +        "92524886": 2461,
│ │ │ │ │          "9255": 2532,
│ │ │ │ │          "9261": 2532,
│ │ │ │ │          "9262": 2532,
│ │ │ │ │          "9263": 2532,
│ │ │ │ │          "9267": 2532,
│ │ │ │ │          "92676499": [349, 2637],
│ │ │ │ │          "927": [539, 554],
│ │ │ │ │          "92771843": 1154,
│ │ │ │ │          "9299": 2532,
│ │ │ │ │          "93": 2655,
│ │ │ │ │          "9304e": 2091,
│ │ │ │ │          "931": 2587,
│ │ │ │ │ +        "93116891": 2488,
│ │ │ │ │          "9317": 2532,
│ │ │ │ │          "9319": 2532,
│ │ │ │ │          "9339": 2532,
│ │ │ │ │          "9340": 2532,
│ │ │ │ │          "934284": 349,
│ │ │ │ │ +        "935": 2461,
│ │ │ │ │          "93657855": 349,
│ │ │ │ │          "9371": 2532,
│ │ │ │ │          "9372": 2532,
│ │ │ │ │          "9373": 2532,
│ │ │ │ │          "9374": 2532,
│ │ │ │ │          "9376": 2532,
│ │ │ │ │          "9377": 2532,
│ │ │ │ │ @@ -35655,15 +35655,14 @@
│ │ │ │ │          "9390": [2533, 2534],
│ │ │ │ │          "94": [409, 669, 2633, 2655],
│ │ │ │ │          "940": 2587,
│ │ │ │ │          "941257": 2633,
│ │ │ │ │          "94125714": 2633,
│ │ │ │ │          "94708397920832": 2640,
│ │ │ │ │          "9475673279178444": 2348,
│ │ │ │ │ -        "948": 2461,
│ │ │ │ │          "94864945": 2664,
│ │ │ │ │          "94909878": [2387, 2434],
│ │ │ │ │          "95": [37, 39, 646, 2353, 2400, 2450, 2633, 2652, 2655],
│ │ │ │ │          "9504637": 2664,
│ │ │ │ │          "950684": 2633,
│ │ │ │ │          "95068423": 2633,
│ │ │ │ │          "9555": [2533, 2534],