--- /srv/reproducible-results/rbuild-debian/r-b-build.smvmLap4/b1/numpy_2.2.3+ds-5_arm64.changes
+++ /srv/reproducible-results/rbuild-debian/r-b-build.smvmLap4/b2/numpy_2.2.3+ds-5_arm64.changes
├── Files
│ @@ -1,5 +1,5 @@
│  
│ - 81590e859a535d93064dfdcdf6cb0f20 5811684 doc optional python-numpy-doc_2.2.3+ds-5_all.deb
│ + 1dc0f98d6d6bd7a7754f86da8f60c722 5811696 doc optional python-numpy-doc_2.2.3+ds-5_all.deb
│   3378b7732053d210d6587f3e4f54a631 14376308 debug optional python3-numpy-dbgsym_2.2.3+ds-5_arm64.deb
│   2fb069c89762b4d9883e4eb3c4b60efe 136044 python optional python3-numpy-dev_2.2.3+ds-5_arm64.deb
│   8c85ab08528f6f73d38fe6acd7144aeb 3595824 python optional python3-numpy_2.2.3+ds-5_arm64.deb
├── python-numpy-doc_2.2.3+ds-5_all.deb
│ ├── file list
│ │ @@ -1,3 +1,3 @@
│ │  -rw-r--r--   0        0        0        4 2025-03-09 20:14:24.000000 debian-binary
│ │ --rw-r--r--   0        0        0    64888 2025-03-09 20:14:24.000000 control.tar.xz
│ │ --rw-r--r--   0        0        0  5746604 2025-03-09 20:14:24.000000 data.tar.xz
│ │ +-rw-r--r--   0        0        0    64868 2025-03-09 20:14:24.000000 control.tar.xz
│ │ +-rw-r--r--   0        0        0  5746636 2025-03-09 20:14:24.000000 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 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/reference/random/generated/numpy.random.wald.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    46891 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/reference/random/generated/numpy.random.weibull.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    45382 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/reference/random/generated/numpy.random.zipf.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    82403 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/reference/random/generator.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    45982 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/reference/random/index.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    89078 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/reference/random/legacy.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    35540 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/reference/random/multithreading.html
│ │ │ │ --rw-r--r--   0 root         (0) root         (0)    44353 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/reference/random/new-or-different.html
│ │ │ │ +-rw-r--r--   0 root         (0) root         (0)    44354 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/reference/random/new-or-different.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    52723 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/reference/random/parallel.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    38070 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/reference/random/performance.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    41915 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/reference/random/upgrading-pcg64.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    45998 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/reference/routines.array-creation.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    50957 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/reference/routines.array-manipulation.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    27535 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/reference/routines.bitwise.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    54450 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/reference/routines.char.html
│ │ │ │ @@ -2754,15 +2754,15 @@
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    46199 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/release/2.2.0-notes.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    31563 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/release/2.2.1-notes.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    32256 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/release/2.2.2-notes.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    32747 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/release/2.2.3-notes.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    13407 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/release/template.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    90523 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/release.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    12397 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/search.html
│ │ │ │ --rw-r--r--   0 root         (0) root         (0)  2686410 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/searchindex.js
│ │ │ │ +-rw-r--r--   0 root         (0) root         (0)  2686428 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/searchindex.js
│ │ │ │  drwxr-xr-x   0 root         (0) root         (0)        0 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/user/
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)   177614 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/user/absolute_beginners.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    50529 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/user/basics.broadcasting.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    33464 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/user/basics.copies.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    64100 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/user/basics.creation.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    65763 2025-03-09 20:14:24.000000 ./usr/share/doc/python-numpy/html/user/basics.dispatch.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    18746 2025-03-09 20:14:24.000000 ./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">1.02 ms +- 53.6 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ -<span class="go">2.57 ms +- 68.7 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">935 us +- 46.7 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">2.54 ms +- 43.2 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [4]: </span><span class="o">%</span><span class="k">timeit</span> -n 1 rng.standard_exponential(100000)
│ │ │ │  <span class="gp">   ...: </span><span class="o">%</span><span class="k">timeit</span> -n 1 numpy.random.standard_exponential(100000)
│ │ │ │  <span class="gp">   ...: </span>
│ │ │ │ -<span class="go">1 ms +- 15.6 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ -<span class="go">1.88 ms +- 18.7 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">799 us +- 18.1 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">1.88 ms +- 14.3 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [5]: </span><span class="o">%</span><span class="k">timeit</span> -n 1 rng.standard_gamma(3.0, 100000)
│ │ │ │  <span class="gp">   ...: </span><span class="o">%</span><span class="k">timeit</span> -n 1 numpy.random.standard_gamma(3.0, 100000)
│ │ │ │  <span class="gp">   ...: </span>
│ │ │ │ -<span class="go">2.47 ms +- 22.2 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ -<span class="go">7.95 ms +- 3.34 ms per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">2.34 ms +- 29.3 us per loop (mean +- std. dev. of 7 runs, 1 loop each)</span>
│ │ │ │ +<span class="go">4.47 ms +- 19.3 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([0.26314191, 0.23305205, 0.21018643])</span>
│ │ │ │ +<span class="gh">Out[7]: </span><span class="go">array([0.22978782, 0.08194945, 0.27917787])</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([0.1394285 , 0.46245968, 0.24632704], dtype=float32)</span>
│ │ │ │ +<span class="gh">Out[8]: </span><span class="go">array([0.0332737 , 0.40015244, 0.07163864], 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([140, 155,   8], dtype=uint8)</span>
│ │ │ │ +<span class="gh">Out[9]: </span><span class="go">array([ 42, 218,  66], 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([0.12454461, 0.18662093])</span>
│ │ │ │ +<span class="gh">Out[12]: </span><span class="go">array([0.71719118, 0.0370398 ])</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">[0.12454461 0.18662093 0.         0.        ]</span>
│ │ │ │ +<span class="go">[0.71719118 0.0370398  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([[ 2,  2,  1,  1,  1],</span>
│ │ │ │ -<span class="go">       [ 6,  6,  5,  5,  5],</span>
│ │ │ │ -<span class="go">       [10, 10,  9,  9,  9]])</span>
│ │ │ │ +<span class="go">array([[ 0,  3,  1,  1,  0],</span>
│ │ │ │ +<span class="go">       [ 4,  7,  5,  5,  4],</span>
│ │ │ │ +<span class="go">       [ 8, 11,  9,  9,  8]])</span>
│ │ │ │  
│ │ │ │  <span class="gp">In [18]: </span><span class="n">rng</span><span class="o">.</span><span class="n">shuffle</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>        <span class="c1"># Shuffle in-place</span>
│ │ │ │  
│ │ │ │  <span class="gp">In [19]: </span><span class="n">a</span>
│ │ │ │  <span class="gh">Out[19]: </span>
│ │ │ │ -<span class="go">array([[ 3,  0,  1,  2],</span>
│ │ │ │ -<span class="go">       [ 7,  4,  5,  6],</span>
│ │ │ │ -<span class="go">       [11,  8,  9, 10]])</span>
│ │ │ │ +<span class="go">array([[ 3,  2,  1,  0],</span>
│ │ │ │ +<span class="go">       [ 7,  6,  5,  4],</span>
│ │ │ │ +<span class="go">       [11, 10,  9,  8]])</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │  <ul class="simple">
│ │ │ │  <li><p>Added a method to sample from the complex normal distribution
│ │ │ │  (<em class="xref py py-obj">complex_normal</em>)</p></li>
│ │ │ │  </ul>
│ │ │ │  </section>
│ │ │ │ ├── html2text {}
│ │ │ │ │ @@ -102,26 +102,26 @@
│ │ │ │ │  In [1]: import numpy.random
│ │ │ │ │  
│ │ │ │ │  In [2]: rng = np.random.default_rng()
│ │ │ │ │  
│ │ │ │ │  In [3]: %timeit -n 1 rng.standard_normal(100000)
│ │ │ │ │     ...: %timeit -n 1 numpy.random.standard_normal(100000)
│ │ │ │ │     ...:
│ │ │ │ │ -1.02 ms +- 53.6 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ -2.57 ms +- 68.7 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +935 us +- 46.7 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +2.54 ms +- 43.2 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │  In [4]: %timeit -n 1 rng.standard_exponential(100000)
│ │ │ │ │     ...: %timeit -n 1 numpy.random.standard_exponential(100000)
│ │ │ │ │     ...:
│ │ │ │ │ -1 ms +- 15.6 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ -1.88 ms +- 18.7 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +799 us +- 18.1 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +1.88 ms +- 14.3 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │  In [5]: %timeit -n 1 rng.standard_gamma(3.0, 100000)
│ │ │ │ │     ...: %timeit -n 1 numpy.random.standard_gamma(3.0, 100000)
│ │ │ │ │     ...:
│ │ │ │ │ -2.47 ms +- 22.2 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ -7.95 ms +- 3.34 ms per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +2.34 ms +- 29.3 us per loop (mean +- std. dev. of 7 runs, 1 loop each)
│ │ │ │ │ +4.47 ms +- 19.3 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([0.26314191, 0.23305205, 0.21018643])
│ │ │ │ │ +Out[7]: array([0.22978782, 0.08194945, 0.27917787])
│ │ │ │ │  
│ │ │ │ │  In [8]: rng.random(3, dtype=np.float32)
│ │ │ │ │ -Out[8]: array([0.1394285 , 0.46245968, 0.24632704], dtype=float32)
│ │ │ │ │ +Out[8]: array([0.0332737 , 0.40015244, 0.07163864], dtype=float32)
│ │ │ │ │  
│ │ │ │ │  In [9]: rng.integers(0, 256, size=3, dtype=np.uint8)
│ │ │ │ │ -Out[9]: array([140, 155,   8], dtype=uint8)
│ │ │ │ │ +Out[9]: array([ 42, 218,  66], 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([0.12454461, 0.18662093])
│ │ │ │ │ +Out[12]: array([0.71719118, 0.0370398 ])
│ │ │ │ │  
│ │ │ │ │  In [13]: print(existing)
│ │ │ │ │ -[0.12454461 0.18662093 0.         0.        ]
│ │ │ │ │ +[0.71719118 0.0370398  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([[ 2,  2,  1,  1,  1],
│ │ │ │ │ -       [ 6,  6,  5,  5,  5],
│ │ │ │ │ -       [10, 10,  9,  9,  9]])
│ │ │ │ │ +array([[ 0,  3,  1,  1,  0],
│ │ │ │ │ +       [ 4,  7,  5,  5,  4],
│ │ │ │ │ +       [ 8, 11,  9,  9,  8]])
│ │ │ │ │  
│ │ │ │ │  In [18]: rng.shuffle(a, axis=1)        # Shuffle in-place
│ │ │ │ │  
│ │ │ │ │  In [19]: a
│ │ │ │ │  Out[19]:
│ │ │ │ │ -array([[ 3,  0,  1,  2],
│ │ │ │ │ -       [ 7,  4,  5,  6],
│ │ │ │ │ -       [11,  8,  9, 10]])
│ │ │ │ │ +array([[ 3,  2,  1,  0],
│ │ │ │ │ +       [ 7,  6,  5,  4],
│ │ │ │ │ +       [11, 10,  9,  8]])
│ │ │ │ │      * Added a method to sample from the complex normal distribution
│ │ │ │ │        (ccoommpplleexx__nnoorrmmaall)
│ │ │ │ │  _p_r_e_v_i_o_u_s
│ │ │ │ │  _M_u_l_t_i_t_h_r_e_a_d_e_d_ _g_e_n_e_r_a_t_i_o_n
│ │ │ │ │  _n_e_x_t
│ │ │ │ │  _P_e_r_f_o_r_m_a_n_c_e
│ │ │ │ │  © Copyright 2008-2025, NumPy Developers.
│ │ │ ├── ./usr/share/doc/python-numpy/html/reference/routines.polynomials.html
│ │ │ │ @@ -609,31 +609,31 @@
│ │ │ │  
│ │ │ │  <span class="gp">In [3]: </span><span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span> <span class="o">+</span> <span class="n">rng</span><span class="o">.</span><span class="n">standard_normal</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │  <p>With the legacy polynomial module, a linear fit (i.e. polynomial of degree 1)
│ │ │ │  could be applied to these data with <a class="reference internal" href="generated/numpy.polyfit.html#numpy.polyfit" title="numpy.polyfit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">polyfit</span></code></a>:</p>
│ │ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [4]: </span><span class="n">np</span><span class="o">.</span><span class="n">polyfit</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">deg</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
│ │ │ │ -<span class="gh">Out[4]: </span><span class="go">array([ 1.14016016, -1.11946821])</span>
│ │ │ │ +<span class="gh">Out[4]: </span><span class="go">array([ 1.06730508, -0.0899841 ])</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([4.01125252, 5.13072073], domain=[0., 9.], window=[-1.,  1.], symbol=&#39;x&#39;)</span>
│ │ │ │ +<span class="gh">Out[6]: </span><span class="go">Polynomial([4.71288877, 4.80287287], domain=[0., 9.], window=[-1.,  1.], symbol=&#39;x&#39;)</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │  <p>Note that the coefficients are given <em>in the scaled domain</em> defined by the
│ │ │ │  linear mapping between the <code class="docutils literal notranslate"><span class="pre">window</span></code> and <code class="docutils literal notranslate"><span class="pre">domain</span></code>.
│ │ │ │  <a class="reference internal" href="generated/numpy.polynomial.polynomial.Polynomial.convert.html#numpy.polynomial.polynomial.Polynomial.convert" title="numpy.polynomial.polynomial.Polynomial.convert"><code class="xref py py-obj docutils literal notranslate"><span class="pre">convert</span></code></a> can be used to get the
│ │ │ │  coefficients in the unscaled data domain.</p>
│ │ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [7]: </span><span class="n">p_fitted</span><span class="o">.</span><span class="n">convert</span><span class="p">()</span>
│ │ │ │ -<span class="gh">Out[7]: </span><span class="go">Polynomial([-1.11946821,  1.14016016], domain=[-1.,  1.], window=[-1.,  1.], symbol=&#39;x&#39;)</span>
│ │ │ │ +<span class="gh">Out[7]: </span><span class="go">Polynomial([-0.0899841 ,  1.06730508], 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([ 1.14016016, -1.11946821])
│ │ │ │ │ +Out[4]: array([ 1.06730508, -0.0899841 ])
│ │ │ │ │  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([4.01125252, 5.13072073], domain=[0., 9.], window=[-1.,
│ │ │ │ │ +Out[6]: Polynomial([4.71288877, 4.80287287], domain=[0., 9.], window=[-1.,
│ │ │ │ │  1.], symbol='x')
│ │ │ │ │  Note that the coefficients are given iinn tthhee ssccaalleedd ddoommaaiinn defined by the linear
│ │ │ │ │  mapping between the window and domain. _c_o_n_v_e_r_t can be used to get the
│ │ │ │ │  coefficients in the unscaled data domain.
│ │ │ │ │  In [7]: p_fitted.convert()
│ │ │ │ │ -Out[7]: Polynomial([-1.11946821,  1.14016016], domain=[-1.,  1.], window=[-1.,
│ │ │ │ │ +Out[7]: Polynomial([-0.0899841 ,  1.06730508], 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 {}
│ │ │ │ │ @@ -32337,29 +32337,28 @@
│ │ │ │ │          "009a87ff44bf": 42,
│ │ │ │ │          "00j": [514, 642, 2167],
│ │ │ │ │          "01": [41, 42, 45, 54, 55, 62, 147, 162, 163, 164, 335, 361, 410, 514, 547, 557, 566, 669, 897, 1088, 1094, 1586, 1594, 1601, 1658, 1715, 1772, 1829, 1885, 2104, 2160, 2323, 2329, 2367, 2373, 2414, 2420, 2525, 2657],
│ │ │ │ │          "010": [653, 1602, 1659, 1716, 1773, 1830, 1886],
│ │ │ │ │          "0100": 1519,
│ │ │ │ │          "01041667": 1585,
│ │ │ │ │          "011": [1602, 1659, 1716, 1773, 1830, 1886],
│ │ │ │ │ -        "01125252": 2488,
│ │ │ │ │          "012": [1602, 1659, 1716, 1773, 1830, 1886],
│ │ │ │ │          "0123456789": [303, 2132],
│ │ │ │ │          "01280782": [2335, 2378, 2425],
│ │ │ │ │          "016": [648, 653],
│ │ │ │ │          "01652764": 2634,
│ │ │ │ │          "01666667": 1544,
│ │ │ │ │          "016j": 2105,
│ │ │ │ │          "01831564": 1660,
│ │ │ │ │          "018318": [2353, 2400, 2450],
│ │ │ │ │          "01j": 514,
│ │ │ │ │          "01t00": [55, 62, 361, 2525],
│ │ │ │ │          "01t08": 2525,
│ │ │ │ │          "01t12": 55,
│ │ │ │ │ -        "02": [54, 55, 147, 162, 163, 410, 547, 566, 669, 1335, 1586, 1601, 1658, 1715, 1772, 1816, 1829, 1885, 2104, 2461],
│ │ │ │ │ +        "02": [54, 55, 147, 162, 163, 410, 547, 566, 669, 1335, 1586, 1601, 1658, 1715, 1772, 1816, 1829, 1885, 2104],
│ │ │ │ │          "020995": 57,
│ │ │ │ │          "02284196": 1697,
│ │ │ │ │          "02294967": 1640,
│ │ │ │ │          "023": 2643,
│ │ │ │ │          "02332573e": 54,
│ │ │ │ │          "0253": 2651,
│ │ │ │ │          "02654825": 1891,
│ │ │ │ │ @@ -32367,16 +32366,18 @@
│ │ │ │ │          "02755911": 2665,
│ │ │ │ │          "027559113243068367": 2665,
│ │ │ │ │          "02785049": 1867,
│ │ │ │ │          "02i": [513, 2643],
│ │ │ │ │          "03": [55, 67, 163, 566, 669, 1335, 1586, 1816, 2657],
│ │ │ │ │          "03125": [1585, 2491],
│ │ │ │ │          "0326911": [2335, 2378, 2425],
│ │ │ │ │ +        "0332737": 2461,
│ │ │ │ │          "0361": 2607,
│ │ │ │ │          "03703704": 1809,
│ │ │ │ │ +        "0370398": 2461,
│ │ │ │ │          "03943254e": 2104,
│ │ │ │ │          "03968254": [1113, 1543],
│ │ │ │ │          "0396842": 680,
│ │ │ │ │          "03t13": 55,
│ │ │ │ │          "04": [54, 55, 164, 410, 547, 1586, 2463, 2594, 2658],
│ │ │ │ │          "0400": 360,
│ │ │ │ │          "04097352": 2634,
│ │ │ │ │ @@ -32394,33 +32395,37 @@
│ │ │ │ │          "0596779": 1153,
│ │ │ │ │          "06": [55, 566, 2083, 2508],
│ │ │ │ │          "0614962j": [439, 453],
│ │ │ │ │          "0625": [418, 624, 1645],
│ │ │ │ │          "06369197489564249": 2458,
│ │ │ │ │          "06381726": 349,
│ │ │ │ │          "0660": [302, 2131],
│ │ │ │ │ +        "06730508": 2488,
│ │ │ │ │          "06959433e": [420, 947],
│ │ │ │ │          "07": [55, 164, 547, 896, 897, 1335, 2170, 2508],
│ │ │ │ │          "07106781e": 514,
│ │ │ │ │ +        "07163864": 2461,
│ │ │ │ │          "07407407": 1809,
│ │ │ │ │          "07779185": 2458,
│ │ │ │ │          "07937323": 524,
│ │ │ │ │          "07944154": [657, 2654],
│ │ │ │ │          "08": [55, 91, 147, 410, 523, 548, 896, 1095, 2322, 2366, 2413, 2525, 2658],
│ │ │ │ │          "0800": 2525,
│ │ │ │ │          "08187135": 54,
│ │ │ │ │ +        "08194945": 2461,
│ │ │ │ │          "08333333": [1645, 1871],
│ │ │ │ │          "08405657": 1867,
│ │ │ │ │          "0855": 2641,
│ │ │ │ │          "08553692": 38,
│ │ │ │ │          "085537": 2641,
│ │ │ │ │          "0856306": 1154,
│ │ │ │ │          "08618131": 1526,
│ │ │ │ │          "08703704": [1113, 1543],
│ │ │ │ │          "087300000000000003": [2346, 2392, 2441],
│ │ │ │ │ +        "0899841": 2488,
│ │ │ │ │          "09": [55, 2171, 2252, 2323, 2367, 2414],
│ │ │ │ │          "090097550553843": 2641,
│ │ │ │ │          "09417735": [349, 2457, 2638],
│ │ │ │ │          "0943951": 1911,
│ │ │ │ │          "09640474436813": 675,
│ │ │ │ │          "09861229": [657, 2654],
│ │ │ │ │          "0999755859375": 62,
│ │ │ │ │ @@ -32655,15 +32660,14 @@
│ │ │ │ │          "1179": 2463,
│ │ │ │ │          "118": 2463,
│ │ │ │ │          "1180339887498949": 2115,
│ │ │ │ │          "11803399": 1228,
│ │ │ │ │          "11885628817151628": 2458,
│ │ │ │ │          "119": 2616,
│ │ │ │ │          "11902": 2544,
│ │ │ │ │ -        "11946821": 2488,
│ │ │ │ │          "11981": 2544,
│ │ │ │ │          "11982": 2544,
│ │ │ │ │          "11985": 2541,
│ │ │ │ │          "11986": 2541,
│ │ │ │ │          "11987": 2541,
│ │ │ │ │          "11992": 2544,
│ │ │ │ │          "11995": 2541,
│ │ │ │ │ @@ -32714,15 +32718,14 @@
│ │ │ │ │          "123456789a12": 25,
│ │ │ │ │          "123456789a123456789b": 25,
│ │ │ │ │          "1234567e": 2172,
│ │ │ │ │          "12346": 2462,
│ │ │ │ │          "1235": 2091,
│ │ │ │ │          "123abc": [302, 305, 2131, 2134],
│ │ │ │ │          "124": [98, 905],
│ │ │ │ │ -        "12454461": 2461,
│ │ │ │ │          "125": [470, 660, 1114, 1142, 1645, 1651, 1899, 1900, 2239, 2339, 2382, 2429, 2460, 2491, 2658, 2665],
│ │ │ │ │          "12589991e": 645,
│ │ │ │ │          "126": [863, 1048, 1116, 1904],
│ │ │ │ │          "1261": 2612,
│ │ │ │ │          "12658": 2560,
│ │ │ │ │          "12697628": 2634,
│ │ │ │ │          "127": [62, 66, 514, 863, 1048, 1102, 1116, 1904, 2301, 2302, 2462, 2463, 2464, 2583, 2638],
│ │ │ │ │ @@ -32745,15 +32748,14 @@
│ │ │ │ │          "130": 409,
│ │ │ │ │          "1300000": 2634,
│ │ │ │ │          "13020": 2549,
│ │ │ │ │          "13026": 2549,
│ │ │ │ │          "13028": 2549,
│ │ │ │ │          "13038": 2549,
│ │ │ │ │          "13041": 2549,
│ │ │ │ │ -        "13072073": 2488,
│ │ │ │ │          "13090": [186, 827, 999, 1172, 1259, 1414, 1933],
│ │ │ │ │          "131": [527, 2463],
│ │ │ │ │          "1312": 485,
│ │ │ │ │          "13182611e": [420, 947],
│ │ │ │ │          "132": [527, 2330, 2374, 2421, 2463, 2636],
│ │ │ │ │          "1324274851176597e": 1867,
│ │ │ │ │          "133": [527, 2330, 2374, 2421],
│ │ │ │ │ @@ -32799,22 +32801,20 @@
│ │ │ │ │          "13845": 2552,
│ │ │ │ │          "13867": 2552,
│ │ │ │ │          "1387": 2612,
│ │ │ │ │          "13899": 2560,
│ │ │ │ │          "139": 655,
│ │ │ │ │          "13905": 2552,
│ │ │ │ │          "13933": 2552,
│ │ │ │ │ -        "1394285": 2461,
│ │ │ │ │          "13984": 2552,
│ │ │ │ │          "13994": 2552,
│ │ │ │ │          "13d7934": 13,
│ │ │ │ │          "13j": 1915,
│ │ │ │ │          "14": [9, 47, 54, 55, 56, 57, 58, 59, 98, 107, 108, 114, 140, 141, 142, 270, 366, 367, 375, 460, 476, 486, 530, 542, 544, 546, 566, 645, 661, 880, 893, 905, 963, 968, 969, 1069, 1083, 1143, 1229, 1247, 1312, 1466, 1577, 1695, 1704, 1711, 1758, 1764, 1867, 1873, 1986, 2086, 2089, 2115, 2168, 2205, 2206, 2208, 2209, 2210, 2222, 2224, 2225, 2237, 2240, 2246, 2333, 2342, 2377, 2385, 2424, 2432, 2457, 2461, 2463, 2490, 2513, 2519, 2531, 2542, 2543, 2544, 2545, 2546, 2547, 2553, 2554, 2559, 2560, 2561, 2566, 2572, 2576, 2583, 2584, 2585, 2586, 2588, 2591, 2596, 2599, 2600, 2622, 2627, 2634, 2637, 2640, 2644, 2652, 2656, 2658, 2665],
│ │ │ │ │ -        "140": [2238, 2461, 2576],
│ │ │ │ │ -        "14016016": 2488,
│ │ │ │ │ +        "140": [2238, 2576],
│ │ │ │ │          "14022471": [2387, 2434],
│ │ │ │ │          "14036": 2560,
│ │ │ │ │          "14039": 2560,
│ │ │ │ │          "14042": 2552,
│ │ │ │ │          "14043": 2552,
│ │ │ │ │          "14044": 2552,
│ │ │ │ │          "14045": 2552,
│ │ │ │ │ @@ -33023,15 +33023,15 @@
│ │ │ │ │          "15302337": 523,
│ │ │ │ │          "1534": 485,
│ │ │ │ │          "15355": 2566,
│ │ │ │ │          "15385": 2566,
│ │ │ │ │          "154": [2463, 2665],
│ │ │ │ │          "15427": 2566,
│ │ │ │ │          "15463": 2566,
│ │ │ │ │ -        "155": [2461, 2463, 2636],
│ │ │ │ │ +        "155": [2463, 2636],
│ │ │ │ │          "15534": 2566,
│ │ │ │ │          "15648": 2566,
│ │ │ │ │          "15666": 2572,
│ │ │ │ │          "15675": 2562,
│ │ │ │ │          "15676": 2562,
│ │ │ │ │          "15677": 2562,
│ │ │ │ │          "15679": 2562,
│ │ │ │ │ @@ -33317,15 +33317,14 @@
│ │ │ │ │          "18629": 2576,
│ │ │ │ │          "1863": 2611,
│ │ │ │ │          "18636": 2574,
│ │ │ │ │          "18638": 2574,
│ │ │ │ │          "18657": 2576,
│ │ │ │ │          "18658": 2576,
│ │ │ │ │          "18661": 2574,
│ │ │ │ │ -        "18662093": 2461,
│ │ │ │ │          "18666": 2576,
│ │ │ │ │          "1867": 1643,
│ │ │ │ │          "18671": 2574,
│ │ │ │ │          "18695": 2576,
│ │ │ │ │          "18697": 2576,
│ │ │ │ │          "187": [2332, 2376, 2423],
│ │ │ │ │          "1870": 2611,
│ │ │ │ │ @@ -33669,15 +33668,14 @@
│ │ │ │ │          "20993": 2588,
│ │ │ │ │          "20_ver": 0,
│ │ │ │ │          "20count": 141,
│ │ │ │ │          "20d03bcfd": 0,
│ │ │ │ │          "21": [21, 26, 28, 30, 31, 40, 47, 54, 55, 58, 74, 98, 162, 163, 270, 336, 357, 359, 377, 388, 396, 403, 476, 477, 628, 661, 669, 880, 905, 944, 1069, 1229, 1312, 1466, 1869, 1881, 1986, 2091, 2168, 2172, 2208, 2225, 2230, 2237, 2238, 2342, 2343, 2463, 2513, 2515, 2517, 2519, 2567, 2568, 2572, 2583, 2585, 2588, 2594, 2627, 2628, 2632, 2634, 2636, 2640, 2641, 2648, 2653, 2656, 2664, 2665, 2667],
│ │ │ │ │          "210": 363,
│ │ │ │ │          "21001": 2588,
│ │ │ │ │ -        "21018643": 2461,
│ │ │ │ │          "21029": 2588,
│ │ │ │ │          "210306068529402873165736369884012333109": [2275, 2280],
│ │ │ │ │          "21048": 2586,
│ │ │ │ │          "211": 2491,
│ │ │ │ │          "21106": 2586,
│ │ │ │ │          "21120": 2599,
│ │ │ │ │          "21130": 2588,
│ │ │ │ │ @@ -33735,30 +33733,30 @@
│ │ │ │ │          "21595": 2594,
│ │ │ │ │          "216": 2665,
│ │ │ │ │          "21623": [2588, 2594],
│ │ │ │ │          "21627": 2594,
│ │ │ │ │          "21645": 2594,
│ │ │ │ │          "21663": 2588,
│ │ │ │ │          "21760": 2622,
│ │ │ │ │ -        "218": [566, 2463],
│ │ │ │ │ +        "218": [566, 2461, 2463],
│ │ │ │ │          "21807": 2594,
│ │ │ │ │          "2184": 2225,
│ │ │ │ │          "21866": 2589,
│ │ │ │ │          "21867": 2589,
│ │ │ │ │          "21868": 2589,
│ │ │ │ │          "21869": 2589,
│ │ │ │ │          "21870": 2589,
│ │ │ │ │          "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, 2634, 2636, 2640, 2656, 2665],
│ │ │ │ │ +        "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, 2634, 2636, 2640, 2656, 2665],
│ │ │ │ │          "220": [2238, 2576],
│ │ │ │ │          "22004": 2594,
│ │ │ │ │          "22014": 2594,
│ │ │ │ │          "22030": 2590,
│ │ │ │ │          "22031": 2590,
│ │ │ │ │          "22032": 2590,
│ │ │ │ │          "22033": 2590,
│ │ │ │ │ @@ -33893,14 +33891,15 @@
│ │ │ │ │          "22967": 2596,
│ │ │ │ │          "22968": 2596,
│ │ │ │ │          "22969": 2596,
│ │ │ │ │          "22970": 2596,
│ │ │ │ │          "22971": 2596,
│ │ │ │ │          "22972": 2596,
│ │ │ │ │          "22976": 2596,
│ │ │ │ │ +        "22978782": 2461,
│ │ │ │ │          "22982": 2599,
│ │ │ │ │          "22989": 2596,
│ │ │ │ │          "22997": 2599,
│ │ │ │ │          "22998": 2599,
│ │ │ │ │          "22e": 457,
│ │ │ │ │          "23": [1, 8, 10, 18, 32, 43, 47, 54, 55, 58, 62, 63, 75, 79, 98, 135, 139, 163, 270, 287, 329, 336, 483, 513, 628, 669, 880, 905, 917, 1029, 1069, 1104, 1229, 1241, 1312, 1324, 1466, 1478, 1545, 1707, 1748, 1777, 1903, 1913, 1986, 1998, 2154, 2208, 2235, 2237, 2256, 2321, 2340, 2342, 2365, 2383, 2412, 2430, 2513, 2519, 2542, 2552, 2595, 2622, 2627, 2634, 2636, 2640, 2644, 2647, 2656, 2665],
│ │ │ │ │          "230": 409,
│ │ │ │ │ @@ -33935,15 +33934,14 @@
│ │ │ │ │          "23226": 2597,
│ │ │ │ │          "23229": 2599,
│ │ │ │ │          "23240": 2599,
│ │ │ │ │          "23275": 2599,
│ │ │ │ │          "23297648": 349,
│ │ │ │ │          "233": [28, 2463],
│ │ │ │ │          "23302": 2599,
│ │ │ │ │ -        "23305205": 2461,
│ │ │ │ │          "23314": 2599,
│ │ │ │ │          "23322": 2599,
│ │ │ │ │          "23341": 2597,
│ │ │ │ │          "23342": 2597,
│ │ │ │ │          "23343": 2597,
│ │ │ │ │          "23344": 2597,
│ │ │ │ │          "23345": 2597,
│ │ │ │ │ @@ -34109,15 +34107,14 @@
│ │ │ │ │          "24614": 2602,
│ │ │ │ │          "24615": 2602,
│ │ │ │ │          "24616": 2602,
│ │ │ │ │          "24617": 2602,
│ │ │ │ │          "24622": 2602,
│ │ │ │ │          "24629": 2602,
│ │ │ │ │          "24630": 2602,
│ │ │ │ │ -        "24632704": 2461,
│ │ │ │ │          "24634": 2622,
│ │ │ │ │          "24637": 2602,
│ │ │ │ │          "24638": 2602,
│ │ │ │ │          "24647": 2602,
│ │ │ │ │          "24648": 2602,
│ │ │ │ │          "24653": 2602,
│ │ │ │ │          "24659": 2602,
│ │ │ │ │ @@ -34345,15 +34342,14 @@
│ │ │ │ │          "26137788e": 2104,
│ │ │ │ │          "26157": 2625,
│ │ │ │ │          "262": 2665,
│ │ │ │ │          "26268": 2625,
│ │ │ │ │          "26285": 2625,
│ │ │ │ │          "26292": 2625,
│ │ │ │ │          "26313": 2625,
│ │ │ │ │ -        "26314191": 2461,
│ │ │ │ │          "26388": 2625,
│ │ │ │ │          "26393": 2622,
│ │ │ │ │          "26452": 2625,
│ │ │ │ │          "26501": 2625,
│ │ │ │ │          "26579": 2625,
│ │ │ │ │          "26580": 2625,
│ │ │ │ │          "26590556": 2634,
│ │ │ │ │ @@ -34493,14 +34489,15 @@
│ │ │ │ │          "27735": 2629,
│ │ │ │ │          "27736": 2629,
│ │ │ │ │          "27807": 2629,
│ │ │ │ │          "27808": 2629,
│ │ │ │ │          "27896": 2629,
│ │ │ │ │          "278dd2a": 13,
│ │ │ │ │          "2791": 2615,
│ │ │ │ │ +        "27917787": 2461,
│ │ │ │ │          "27935": 2630,
│ │ │ │ │          "2794155": 2665,
│ │ │ │ │          "27950": 2630,
│ │ │ │ │          "27955": 2630,
│ │ │ │ │          "27958": 2630,
│ │ │ │ │          "2795853": 533,
│ │ │ │ │          "27959": 2630,
│ │ │ │ │ @@ -34577,15 +34574,15 @@
│ │ │ │ │          "28657": 28,
│ │ │ │ │          "28790332": 2665,
│ │ │ │ │          "2883": [1643, 1655],
│ │ │ │ │          "28853036": 1867,
│ │ │ │ │          "28904982231052": 675,
│ │ │ │ │          "2892": 2615,
│ │ │ │ │          "28mathematical_const": 76,
│ │ │ │ │ -        "29": [10, 21, 45, 54, 55, 76, 144, 163, 1638, 1647, 2208, 2328, 2463, 2464, 2513, 2547, 2548, 2549, 2550, 2551, 2552, 2553, 2554, 2555, 2556, 2557, 2558, 2559, 2560, 2561, 2562, 2563, 2564, 2565, 2566, 2567, 2568, 2587, 2602, 2622, 2640, 2656, 2665],
│ │ │ │ │ +        "29": [10, 21, 45, 54, 55, 76, 144, 163, 1638, 1647, 2208, 2328, 2461, 2463, 2464, 2513, 2547, 2548, 2549, 2550, 2551, 2552, 2553, 2554, 2555, 2556, 2557, 2558, 2559, 2560, 2561, 2562, 2563, 2564, 2565, 2566, 2567, 2568, 2587, 2602, 2622, 2640, 2656, 2665],
│ │ │ │ │          "290": 2300,
│ │ │ │ │          "29001ed": 13,
│ │ │ │ │          "290301": 55,
│ │ │ │ │          "292": 55,
│ │ │ │ │          "29229249": 524,
│ │ │ │ │          "29239766": 54,
│ │ │ │ │          "2925464970228": 657,
│ │ │ │ │ @@ -34818,14 +34815,15 @@
│ │ │ │ │          "3x4x5": 2664,
│ │ │ │ │          "3x8000": [2350, 2397, 2447],
│ │ │ │ │          "4": [4, 5, 9, 12, 14, 25, 29, 30, 32, 37, 38, 39, 40, 47, 50, 54, 55, 56, 57, 58, 59, 61, 63, 65, 66, 67, 68, 69, 76, 78, 89, 90, 95, 96, 97, 98, 99, 104, 105, 107, 108, 109, 110, 111, 113, 115, 118, 120, 121, 127, 129, 130, 132, 134, 135, 136, 138, 140, 141, 144, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 167, 171, 176, 177, 185, 194, 213, 214, 215, 234, 239, 262, 264, 270, 280, 284, 287, 290, 295, 302, 305, 336, 337, 338, 339, 340, 341, 342, 345, 348, 352, 353, 354, 355, 356, 357, 358, 359, 360, 364, 365, 366, 367, 368, 369, 370, 371, 372, 374, 375, 376, 385, 396, 401, 404, 408, 409, 410, 411, 412, 413, 415, 416, 417, 418, 419, 421, 422, 432, 435, 439, 440, 442, 443, 444, 445, 446, 447, 448, 450, 453, 454, 455, 456, 461, 464, 466, 467, 470, 472, 473, 474, 477, 478, 482, 483, 489, 513, 514, 520, 521, 522, 523, 524, 526, 527, 528, 529, 530, 531, 532, 533, 538, 540, 541, 542, 543, 544, 545, 549, 553, 554, 560, 565, 566, 567, 569, 572, 573, 574, 575, 582, 584, 608, 617, 618, 619, 621, 622, 623, 624, 625, 628, 638, 639, 640, 645, 647, 648, 649, 650, 651, 653, 657, 660, 661, 662, 663, 664, 666, 667, 668, 669, 673, 676, 680, 751, 823, 826, 830, 831, 834, 844, 847, 855, 859, 860, 863, 864, 865, 868, 873, 874, 877, 880, 881, 883, 884, 886, 887, 888, 891, 893, 897, 903, 904, 905, 906, 908, 911, 912, 913, 914, 916, 917, 919, 922, 924, 925, 926, 928, 929, 932, 936, 942, 943, 944, 945, 946, 948, 950, 952, 953, 957, 958, 959, 960, 961, 963, 964, 967, 968, 969, 976, 978, 988, 993, 997, 1002, 1003, 1006, 1011, 1020, 1023, 1027, 1029, 1038, 1042, 1044, 1045, 1048, 1049, 1050, 1052, 1054, 1061, 1063, 1066, 1069, 1070, 1072, 1074, 1076, 1077, 1078, 1081, 1083, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1094, 1096, 1097, 1100, 1103, 1104, 1105, 1106, 1107, 1110, 1113, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1133, 1135, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1147, 1148, 1153, 1154, 1155, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1166, 1167, 1171, 1178, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1203, 1204, 1205, 1206, 1208, 1211, 1212, 1213, 1224, 1226, 1227, 1228, 1229, 1230, 1236, 1239, 1240, 1241, 1242, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1258, 1265, 1278, 1279, 1281, 1286, 1291, 1294, 1307, 1309, 1312, 1319, 1322, 1324, 1326, 1327, 1328, 1329, 1331, 1333, 1334, 1336, 1337, 1339, 1341, 1342, 1344, 1346, 1347, 1349, 1351, 1413, 1420, 1433, 1434, 1435, 1440, 1445, 1448, 1461, 1463, 1466, 1473, 1476, 1478, 1479, 1480, 1483, 1510, 1512, 1513, 1515, 1517, 1520, 1521, 1522, 1523, 1526, 1527, 1540, 1541, 1542, 1543, 1544, 1545, 1554, 1557, 1574, 1575, 1577, 1578, 1579, 1586, 1588, 1590, 1591, 1596, 1604, 1605, 1606, 1615, 1618, 1635, 1639, 1643, 1644, 1649, 1652, 1653, 1654, 1655, 1656, 1657, 1658, 1659, 1661, 1662, 1663, 1672, 1675, 1692, 1694, 1696, 1706, 1709, 1710, 1711, 1718, 1719, 1720, 1729, 1732, 1749, 1750, 1751, 1753, 1757, 1758, 1759, 1763, 1765, 1766, 1767, 1768, 1769, 1770, 1775, 1776, 1777, 1786, 1789, 1805, 1806, 1808, 1809, 1810, 1812, 1816, 1818, 1820, 1822, 1824, 1832, 1833, 1834, 1843, 1846, 1862, 1864, 1865, 1866, 1867, 1869, 1870, 1875, 1876, 1879, 1880, 1881, 1882, 1883, 1884, 1886, 1887, 1888, 1889, 1890, 1893, 1896, 1897, 1899, 1900, 1902, 1904, 1905, 1908, 1909, 1911, 1912, 1913, 1914, 1915, 1916, 1919, 1922, 1923, 1924, 1932, 1939, 1953, 1954, 1955, 1960, 1965, 1968, 1981, 1983, 1986, 1993, 1996, 1998, 2071, 2072, 2074, 2075, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2087, 2088, 2089, 2090, 2091, 2093, 2095, 2096, 2097, 2098, 2101, 2104, 2106, 2107, 2110, 2111, 2114, 2115, 2116, 2119, 2123, 2124, 2126, 2127, 2131, 2134, 2139, 2145, 2161, 2163, 2164, 2168, 2175, 2176, 2178, 2184, 2195, 2199, 2201, 2202, 2204, 2205, 2206, 2208, 2209, 2210, 2211, 2217, 2223, 2224, 2225, 2229, 2230, 2236, 2237, 2238, 2239, 2240, 2241, 2243, 2244, 2246, 2247, 2248, 2250, 2251, 2256, 2257, 2290, 2303, 2304, 2308, 2312, 2316, 2319, 2320, 2322, 2324, 2327, 2328, 2329, 2332, 2333, 2334, 2339, 2340, 2341, 2342, 2343, 2347, 2352, 2356, 2359, 2361, 2363, 2364, 2366, 2368, 2373, 2376, 2377, 2382, 2383, 2384, 2388, 2389, 2390, 2395, 2399, 2403, 2406, 2408, 2410, 2411, 2413, 2415, 2420, 2423, 2424, 2429, 2430, 2431, 2435, 2436, 2438, 2445, 2449, 2453, 2456, 2457, 2460, 2461, 2462, 2463, 2470, 2488, 2489, 2490, 2491, 2510, 2513, 2519, 2529, 2530, 2531, 2532, 2533, 2534, 2535, 2536, 2537, 2538, 2540, 2541, 2542, 2543, 2544, 2545, 2547, 2548, 2549, 2550, 2552, 2559, 2566, 2572, 2579, 2581, 2588, 2591, 2593, 2599, 2602, 2607, 2609, 2610, 2613, 2614, 2615, 2616, 2617, 2619, 2620, 2622, 2624, 2625, 2628, 2634, 2636, 2637, 2639, 2640, 2641, 2643, 2644, 2645, 2646, 2648, 2649, 2651, 2652, 2654, 2656, 2657, 2658, 2664, 2665],
│ │ │ │ │          "40": [32, 99, 143, 270, 409, 444, 446, 454, 568, 569, 570, 880, 906, 1069, 1117, 1229, 1312, 1466, 1906, 1986, 2089, 2165, 2204, 2208, 2323, 2367, 2414, 2634, 2638, 2640, 2656, 2665],
│ │ │ │ │          "400": [55, 444],
│ │ │ │ │          "4000000000000p": 669,
│ │ │ │ │          "4001": [99, 906],
│ │ │ │ │ +        "40015244": 2461,
│ │ │ │ │          "40067661": 2634,
│ │ │ │ │          "4007": 2620,
│ │ │ │ │          "40077": [1644, 1656],
│ │ │ │ │          "400e": 2657,
│ │ │ │ │          "4018": [2615, 2617],
│ │ │ │ │          "4024": 2617,
│ │ │ │ │          "4027": 2617,
│ │ │ │ │ @@ -34857,15 +34855,15 @@
│ │ │ │ │          "4167": 1643,
│ │ │ │ │          "4170": 2617,
│ │ │ │ │          "4176": 2617,
│ │ │ │ │          "4181": [28, 2621],
│ │ │ │ │          "4187": 2617,
│ │ │ │ │          "4191": 2617,
│ │ │ │ │          "4197": 2617,
│ │ │ │ │ -        "42": [31, 58, 63, 147, 349, 669, 896, 897, 974, 1029, 2090, 2208, 2256, 2332, 2376, 2423, 2457, 2566, 2605, 2622, 2634, 2638, 2656, 2663, 2664, 2665],
│ │ │ │ │ +        "42": [31, 58, 63, 147, 349, 669, 896, 897, 974, 1029, 2090, 2208, 2256, 2332, 2376, 2423, 2457, 2461, 2566, 2605, 2622, 2634, 2638, 2656, 2663, 2664, 2665],
│ │ │ │ │          "420": [2238, 2576],
│ │ │ │ │          "42016704": 2665,
│ │ │ │ │          "4206": 2617,
│ │ │ │ │          "4220": 2617,
│ │ │ │ │          "4223": 2617,
│ │ │ │ │          "4225": 2617,
│ │ │ │ │          "423": 55,
│ │ │ │ │ @@ -34881,15 +34879,15 @@
│ │ │ │ │          "42667924": 1154,
│ │ │ │ │          "4267": 2617,
│ │ │ │ │          "4270": 2617,
│ │ │ │ │          "4276": 2617,
│ │ │ │ │          "429": 136,
│ │ │ │ │          "4294967293": 2638,
│ │ │ │ │          "4294967296": [196, 836, 1008, 1179, 1266, 1421, 1940],
│ │ │ │ │ -        "43": [2208, 2583, 2634, 2640, 2656, 2665],
│ │ │ │ │ +        "43": [2208, 2461, 2583, 2634, 2640, 2656, 2665],
│ │ │ │ │          "430148": 2634,
│ │ │ │ │          "43014843": 2634,
│ │ │ │ │          "43181166": 2458,
│ │ │ │ │          "4354": 2617,
│ │ │ │ │          "4359": 2617,
│ │ │ │ │          "4368": [287, 1241, 1324, 1478, 1998],
│ │ │ │ │          "4375": 2491,
│ │ │ │ │ @@ -34930,21 +34928,20 @@
│ │ │ │ │          "4532": [409, 661, 2168],
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│ │ │ │ │          "45560727e": 54,
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│ │ │ │ │ -        "46": [409, 523, 905, 1707, 2204, 2208, 2640, 2656],
│ │ │ │ │ +        "46": [409, 523, 905, 1707, 2204, 2208, 2461, 2640, 2656],
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│ │ │ │ │          "46009194e": 566,
│ │ │ │ │          "4602": 2618,
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│ │ │ │ │          "464": 680,
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│ │ │ │ │          "465": [58, 1157],
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│ │ │ │ │ @@ -35065,15 +35062,15 @@
│ │ │ │ │          "52359878": 1911,
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│ │ │ │ │          "5363922081269535": 2458,
│ │ │ │ │ @@ -35081,15 +35078,15 @@
│ │ │ │ │          "536870910": 1902,
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│ │ │ │ │ +        "54": [38, 59, 523, 1638, 1711, 1764, 2208, 2461, 2641, 2656],
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│ │ │ │ │          "54323428": [2345, 2391, 2439],
│ │ │ │ │ @@ -35124,15 +35121,15 @@
│ │ │ │ │          "5620499351813308": 86,
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│ │ │ │ │          "56294995342131": 2083,
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│ │ │ │ │ -        "57": [58, 669, 2204, 2322, 2366, 2413, 2461, 2463, 2491, 2636, 2656],
│ │ │ │ │ +        "57": [58, 669, 2204, 2322, 2366, 2413, 2463, 2491, 2636, 2656],
│ │ │ │ │          "5707963267948966": [102, 125],
│ │ │ │ │          "57079633": [94, 105, 130, 1911, 2238, 2665],
│ │ │ │ │          "5708": [412, 618],
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│ │ │ │ │          "57136612e": 2173,
│ │ │ │ │          "57510612": 660,
│ │ │ │ │          "576": 2615,
│ │ │ │ │ @@ -35275,15 +35272,15 @@
│ │ │ │ │          "6586976": 1149,
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│ │ │ │ │          "6596": 2522,
│ │ │ │ │          "6596288841243357": 2458,
│ │ │ │ │          "659885634118668e": 645,
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│ │ │ │ │          "65x": 2594,
│ │ │ │ │ -        "66": [13, 58, 1922, 2547, 2656, 2665],
│ │ │ │ │ +        "66": [13, 58, 1922, 2461, 2547, 2656, 2665],
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│ │ │ │ │          "6621": 2522,
│ │ │ │ │ @@ -35324,15 +35321,15 @@
│ │ │ │ │          "6765": 28,
│ │ │ │ │          "6771": 2522,
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│ │ │ │ │ -        "68": [2461, 2656, 2658, 2665],
│ │ │ │ │ +        "68": [2656, 2658, 2665],
│ │ │ │ │          "6805": [2353, 2400, 2450],
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│ │ │ │ │          "68080986": 349,
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│ │ │ │ │          "68206631e": 2104,
│ │ │ │ │ @@ -35378,15 +35375,17 @@
│ │ │ │ │          "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, 2656],
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│ │ │ │ │          "71238898": 1911,
│ │ │ │ │ +        "71288877": 2488,
│ │ │ │ │          "71387850e": 1586,
│ │ │ │ │ +        "71719118": 2461,
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│ │ │ │ │          "71828182845904523536028747135266249775724709369995": 76,
│ │ │ │ │          "71828183": [38, 2665],
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│ │ │ │ │          "7183": 2641,
│ │ │ │ │          "7185": [99, 906],
│ │ │ │ │          "71946897": 1153,
│ │ │ │ │ @@ -35511,14 +35510,15 @@
│ │ │ │ │          "7954": 2527,
│ │ │ │ │          "7955": 2527,
│ │ │ │ │          "79579319e": 1867,
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│ │ │ │ │          "7972": 2527,
│ │ │ │ │          "7976931348623157e": 1335,
│ │ │ │ │          "79769313e": 1335,
│ │ │ │ │ +        "799": 2461,
│ │ │ │ │          "79ff": [102, 125],
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│ │ │ │ │          "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, 2634, 2636, 2637, 2638, 2640, 2641, 2643, 2644, 2645, 2647, 2648, 2652, 2654, 2656, 2657, 2658, 2659, 2664, 2665],
│ │ │ │ │          "80": [69, 396, 409, 446, 977, 2248, 2346, 2357, 2383, 2392, 2404, 2430, 2441, 2454, 2588, 2622, 2647, 2648, 2656],
│ │ │ │ │ @@ -35526,14 +35526,15 @@
│ │ │ │ │          "8000": [2350, 2352, 2397, 2399, 2447, 2449],
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│ │ │ │ │ +        "80287287": 2488,
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│ │ │ │ │          "8058837395885292": 666,
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│ │ │ │ │ @@ -35664,14 +35665,15 @@
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│ │ │ │ │ +        "935": 2461,
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│ │ │ │ │ @@ -35683,15 +35685,15 @@
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│ │ │ │ │          "9555": [2533, 2534],
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│ │ │ │ │          "9558": [2533, 2534],