--- /srv/reproducible-results/rbuild-debian/r-b-build.VY2ERTE7/b1/lmfit-py_1.2.2-3_i386.changes
+++ /srv/reproducible-results/rbuild-debian/r-b-build.VY2ERTE7/b2/lmfit-py_1.2.2-3_i386.changes
├── Files
│ @@ -1,3 +1,3 @@
│  
│ - 175bf116f3a93205ea313665821a3238 5456908 doc optional python-lmfit-doc_1.2.2-3_all.deb
│ + dd3b3a442194384792df67ea5caa64a4 5456908 doc optional python-lmfit-doc_1.2.2-3_all.deb
│   5dcd200c5a54ac442a66e787bece09e6 80160 python optional python3-lmfit_1.2.2-3_all.deb
├── python-lmfit-doc_1.2.2-3_all.deb
│ ├── file list
│ │ @@ -1,3 +1,3 @@
│ │  -rw-r--r--   0        0        0        4 2024-02-15 20:12:51.000000 debian-binary
│ │ --rw-r--r--   0        0        0     7500 2024-02-15 20:12:51.000000 control.tar.xz
│ │ --rw-r--r--   0        0        0  5449216 2024-02-15 20:12:51.000000 data.tar.xz
│ │ +-rw-r--r--   0        0        0     7508 2024-02-15 20:12:51.000000 control.tar.xz
│ │ +-rw-r--r--   0        0        0  5449208 2024-02-15 20:12:51.000000 data.tar.xz
│ ├── control.tar.xz
│ │ ├── control.tar
│ │ │ ├── ./md5sums
│ │ │ │ ├── ./md5sums
│ │ │ │ │┄ Files differ
│ ├── data.tar.xz
│ │ ├── data.tar
│ │ │ ├── file list
│ │ │ │ @@ -249,15 +249,15 @@
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    25280 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/index.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    24391 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/installation.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    16721 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/intro.html
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│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    62962 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/parameters.html
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│ │ │ │  -rw-r--r--   0 root         (0) root         (0)     8574 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/support.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    62049 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/whatsnew.html
│ │ │ │  drwxr-xr-x   0 root         (0) root         (0)        0 2024-02-15 20:12:51.000000 ./usr/share/doc-base/
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)      305 2024-02-15 20:12:51.000000 ./usr/share/doc-base/python-lmfit-doc.python-lmfit-doc
│ │ │ │  lrwxrwxrwx   0 root         (0) root         (0)        0 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/_static/doctools.js -> ../../../../javascript/sphinxdoc/1.0/doctools.js
│ │ │ │  lrwxrwxrwx   0 root         (0) root         (0)        0 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/_static/language_data.js -> ../../../../javascript/sphinxdoc/1.0/language_data.js
│ │ │ │  lrwxrwxrwx   0 root         (0) root         (0)        0 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/_static/searchtools.js -> ../../../../javascript/sphinxdoc/1.0/searchtools.js
│ │ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_Model_interface.rst.txt
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│ │ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_complex_resonator_model.rst.txt
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│ │ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_confidence_interval.rst.txt
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│ │ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_detect_outliers.rst.txt
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│ │ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_diffev.rst.txt
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│ │ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_expression_model.rst.txt
│ │ │ │ @@ -139,15 +139,15 @@
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│ │ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_multi_datasets.rst.txt
│ │ │ │ @@ -207,15 +207,15 @@
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│ │ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_with_algebraic_constraint.rst.txt
│ │ │ │ @@ -121,15 +121,15 @@
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│ │ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_with_bounds.rst.txt
│ │ │ │ @@ -178,15 +178,15 @@
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│ │ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_with_derivfunc.rst.txt
│ │ │ │ @@ -175,15 +175,15 @@
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│ │ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_with_inequality.rst.txt
│ │ │ │ @@ -163,15 +163,15 @@
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│ │ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_reduce_fcn.rst.txt
│ │ │ │ @@ -199,15 +199,15 @@
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│ │ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_sympy.rst.txt
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│ │ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_two_dimensional_peak.rst.txt
│ │ │ │ @@ -368,15 +368,15 @@
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│ │ │ │  .. _sphx_glr_download_examples_example_two_dimensional_peak.py:
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│ │ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_use_pandas.rst.txt
│ │ │ │ @@ -123,15 +123,15 @@
│ │ │ │  
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│ │ │ │  
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│ │ │ │  .. _sphx_glr_download_examples_example_use_pandas.py:
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│ │ │ ├── ./usr/share/doc/python3-lmfit/html/examples/example_Model_interface.html
│ │ │ │ @@ -337,15 +337,15 @@
│ │ │ │  <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>[[Variables]]
│ │ │ │      N:    7.11270194 +/- 0.24334895 (3.42%) (init = 10)
│ │ │ │      tau:  2.92065227 +/- 0.13488230 (4.62%) (init = 1)
│ │ │ │  [[Correlations]] (unreported correlations are &lt; 0.100)
│ │ │ │      C(N, tau) = -0.9320
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │ -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.546 seconds)</p>
│ │ │ │ +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.903 seconds)</p>
│ │ │ │  <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-example-model-interface-py">
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/a69966d88009a9341e88bfe1935158a7/example_Model_interface.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">example_Model_interface.ipynb</span></code></a></p>
│ │ │ │  </div>
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-python docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/8b2fe0a32f4790de5b0465c00682a37b/example_Model_interface.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">example_Model_interface.py</span></code></a></p>
│ │ │ │  </div>
│ │ │ │ ├── html2text {}
│ │ │ │ │ @@ -179,15 +179,15 @@
│ │ │ │ │  result = model.fit(truncated_data_with_holes, params, t=t)
│ │ │ │ │  report_fit(result.params)
│ │ │ │ │  [[Variables]]
│ │ │ │ │      N:    7.11270194 +/- 0.24334895 (3.42%) (init = 10)
│ │ │ │ │      tau:  2.92065227 +/- 0.13488230 (4.62%) (init = 1)
│ │ │ │ │  [[Correlations]] (unreported correlations are < 0.100)
│ │ │ │ │      C(N, tau) = -0.9320
│ │ │ │ │ -TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.546 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.903 seconds)
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _J_u_p_y_t_e_r_ _n_o_t_e_b_o_o_k_:_ _e_x_a_m_p_l_e___M_o_d_e_l___i_n_t_e_r_f_a_c_e_._i_p_y_n_b
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _P_y_t_h_o_n_ _s_o_u_r_c_e_ _c_o_d_e_:_ _e_x_a_m_p_l_e___M_o_d_e_l___i_n_t_e_r_f_a_c_e_._p_y
│ │ │ │ │  _G_a_l_l_e_r_y_ _g_e_n_e_r_a_t_e_d_ _b_y_ _S_p_h_i_n_x_-_G_a_l_l_e_r_y
│ │ │ │ │  ******** NNaavviiggaattiioonn ********
│ │ │ │ │      * _i_n_d_e_x
│ │ │ │ │      * _n_e_x_t |
│ │ │ │ │      * _p_r_e_v_i_o_u_s |
│ │ │ ├── ./usr/share/doc/python3-lmfit/html/examples/example_brute.html
│ │ │ │ @@ -649,15 +649,15 @@
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │  <p>and finally, to generated the figure:</p>
│ │ │ │  <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">plot_results_brute</span><span class="p">(</span><span class="n">result_brute</span><span class="p">,</span> <span class="n">best_vals</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">varlabels</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │ -<img src="../_images/sphx_glr_example_brute_004.png" srcset="../_images/sphx_glr_example_brute_004.png, ../_images/sphx_glr_example_brute_004_3_00x.png 3.00x" alt="example brute" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 43.284 seconds)</p>
│ │ │ │ +<img src="../_images/sphx_glr_example_brute_004.png" srcset="../_images/sphx_glr_example_brute_004.png, ../_images/sphx_glr_example_brute_004_3_00x.png 3.00x" alt="example brute" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 24.166 seconds)</p>
│ │ │ │  <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-example-brute-py">
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/9254f2af7eef00978dc5823dc5418985/example_brute.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">example_brute.ipynb</span></code></a></p>
│ │ │ │  </div>
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-python docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/c004866ac6395edd2609ff96cecdc255/example_brute.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">example_brute.py</span></code></a></p>
│ │ │ │  </div>
│ │ │ │ ├── html2text {}
│ │ │ │ │ @@ -476,15 +476,15 @@
│ │ │ │ │  
│ │ │ │ │      if output is not None:
│ │ │ │ │          plt.savefig(output)
│ │ │ │ │  and finally, to generated the figure:
│ │ │ │ │  plot_results_brute(result_brute, best_vals=True, varlabels=None)
│ │ │ │ │  plt.show()
│ │ │ │ │  [example brute]
│ │ │ │ │ -TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 43.284 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (1 minutes 24.166 seconds)
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _J_u_p_y_t_e_r_ _n_o_t_e_b_o_o_k_:_ _e_x_a_m_p_l_e___b_r_u_t_e_._i_p_y_n_b
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _P_y_t_h_o_n_ _s_o_u_r_c_e_ _c_o_d_e_:_ _e_x_a_m_p_l_e___b_r_u_t_e_._p_y
│ │ │ │ │  _G_a_l_l_e_r_y_ _g_e_n_e_r_a_t_e_d_ _b_y_ _S_p_h_i_n_x_-_G_a_l_l_e_r_y
│ │ │ │ │  ******** NNaavviiggaattiioonn ********
│ │ │ │ │      * _i_n_d_e_x
│ │ │ │ │      * _p_r_e_v_i_o_u_s |
│ │ │ │ │      * [ _i_n_t_r_o |
│ │ │ ├── ./usr/share/doc/python3-lmfit/html/examples/example_complex_resonator_model.html
│ │ │ │ @@ -278,15 +278,15 @@
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;MHz&#39;</span><span class="p">)</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │  <ul class="sphx-glr-horizontal">
│ │ │ │  <li><img src="../_images/sphx_glr_example_complex_resonator_model_002.png" srcset="../_images/sphx_glr_example_complex_resonator_model_002.png, ../_images/sphx_glr_example_complex_resonator_model_002_3_00x.png 3.00x" alt="example complex resonator model" class = "sphx-glr-multi-img"/></li>
│ │ │ │  <li><img src="../_images/sphx_glr_example_complex_resonator_model_003.png" srcset="../_images/sphx_glr_example_complex_resonator_model_003.png, ../_images/sphx_glr_example_complex_resonator_model_003_3_00x.png 3.00x" alt="example complex resonator model" class = "sphx-glr-multi-img"/></li>
│ │ │ │  </ul>
│ │ │ │ -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.117 seconds)</p>
│ │ │ │ +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.597 seconds)</p>
│ │ │ │  <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-example-complex-resonator-model-py">
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/3dcc7459227dbd4ba1982949be8491e1/example_complex_resonator_model.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">example_complex_resonator_model.ipynb</span></code></a></p>
│ │ │ │  </div>
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-python docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/3805fc8171e8a0686d5cf65be55085ee/example_complex_resonator_model.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">example_complex_resonator_model.py</span></code></a></p>
│ │ │ │  </div>
│ │ │ │ ├── html2text {}
│ │ │ │ │ @@ -158,15 +158,15 @@
│ │ │ │ │  plt.plot(f, 20*np.log10(np.abs(fit_s21)), '.-', label='best fit')
│ │ │ │ │  plt.plot(f, 20*np.log10(np.abs(guess_s21)), '--', label='initial fit')
│ │ │ │ │  plt.legend()
│ │ │ │ │  plt.ylabel('|S21| (dB)')
│ │ │ │ │  plt.xlabel('MHz')
│ │ │ │ │      * [example complex resonator model]
│ │ │ │ │      * [example complex resonator model]
│ │ │ │ │ -TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 1.117 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 1.597 seconds)
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _J_u_p_y_t_e_r_ _n_o_t_e_b_o_o_k_:_ _e_x_a_m_p_l_e___c_o_m_p_l_e_x___r_e_s_o_n_a_t_o_r___m_o_d_e_l_._i_p_y_n_b
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _P_y_t_h_o_n_ _s_o_u_r_c_e_ _c_o_d_e_:_ _e_x_a_m_p_l_e___c_o_m_p_l_e_x___r_e_s_o_n_a_t_o_r___m_o_d_e_l_._p_y
│ │ │ │ │  _G_a_l_l_e_r_y_ _g_e_n_e_r_a_t_e_d_ _b_y_ _S_p_h_i_n_x_-_G_a_l_l_e_r_y
│ │ │ │ │  ******** NNaavviiggaattiioonn ********
│ │ │ │ │      * _i_n_d_e_x
│ │ │ │ │      * _n_e_x_t |
│ │ │ │ │      * _p_r_e_v_i_o_u_s |
│ │ │ ├── ./usr/share/doc/python3-lmfit/html/examples/example_confidence_interval.html
│ │ │ │ @@ -291,15 +291,15 @@
│ │ │ │              <span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;prob&#39;</span><span class="p">)</span>
│ │ │ │              <span class="n">ax</span><span class="o">.</span><span class="n">tick_params</span><span class="p">(</span><span class="n">labelleft</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
│ │ │ │  
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │ -<img src="../_images/sphx_glr_example_confidence_interval_002.png" srcset="../_images/sphx_glr_example_confidence_interval_002.png, ../_images/sphx_glr_example_confidence_interval_002_3_00x.png 3.00x" alt="example confidence interval" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 36.872 seconds)</p>
│ │ │ │ +<img src="../_images/sphx_glr_example_confidence_interval_002.png" srcset="../_images/sphx_glr_example_confidence_interval_002.png, ../_images/sphx_glr_example_confidence_interval_002_3_00x.png 3.00x" alt="example confidence interval" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 59.104 seconds)</p>
│ │ │ │  <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-example-confidence-interval-py">
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/2c0316848a8a5e58fdf5c1bd1978018e/example_confidence_interval.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">example_confidence_interval.ipynb</span></code></a></p>
│ │ │ │  </div>
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-python docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/b6a243851aa5b1d7362705005c5ed3b1/example_confidence_interval.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">example_confidence_interval.py</span></code></a></p>
│ │ │ │  </div>
│ │ │ │ ├── html2text {}
│ │ │ │ │ @@ -171,15 +171,15 @@
│ │ │ │ │              plt.plot(xn, f(xn), lw=1)
│ │ │ │ │              plt.ylabel('prob')
│ │ │ │ │              ax.tick_params(labelleft=True)
│ │ │ │ │  
│ │ │ │ │  plt.tight_layout()
│ │ │ │ │  plt.show()
│ │ │ │ │  [example confidence interval]
│ │ │ │ │ -TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 36.872 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 59.104 seconds)
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _J_u_p_y_t_e_r_ _n_o_t_e_b_o_o_k_:_ _e_x_a_m_p_l_e___c_o_n_f_i_d_e_n_c_e___i_n_t_e_r_v_a_l_._i_p_y_n_b
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _P_y_t_h_o_n_ _s_o_u_r_c_e_ _c_o_d_e_:_ _e_x_a_m_p_l_e___c_o_n_f_i_d_e_n_c_e___i_n_t_e_r_v_a_l_._p_y
│ │ │ │ │  _G_a_l_l_e_r_y_ _g_e_n_e_r_a_t_e_d_ _b_y_ _S_p_h_i_n_x_-_G_a_l_l_e_r_y
│ │ │ │ │  ******** NNaavviiggaattiioonn ********
│ │ │ │ │      * _i_n_d_e_x
│ │ │ │ │      * _n_e_x_t |
│ │ │ │ │      * _p_r_e_v_i_o_u_s |
│ │ │ ├── ./usr/share/doc/python3-lmfit/html/examples/example_detect_outliers.html
│ │ │ │ @@ -240,15 +240,15 @@
│ │ │ │  <span class="n">axs</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">stderrs</span><span class="p">[</span><span class="s1">&#39;b&#39;</span><span class="p">])</span>
│ │ │ │  <span class="n">axs</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="n">idx</span><span class="p">],</span> <span class="n">stderrs</span><span class="p">[</span><span class="s1">&#39;b&#39;</span><span class="p">][</span><span class="n">idx</span><span class="p">],</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;r&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;outlier&#39;</span><span class="p">)</span>
│ │ │ │  <span class="n">axs</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">&#39;err b change&#39;</span><span class="p">)</span>
│ │ │ │  
│ │ │ │  <span class="n">axs</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">&#39;x&#39;</span><span class="p">)</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │ -<img src="../_images/sphx_glr_example_detect_outliers_003.png" srcset="../_images/sphx_glr_example_detect_outliers_003.png, ../_images/sphx_glr_example_detect_outliers_003_3_00x.png 3.00x" alt="example detect outliers" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.549 seconds)</p>
│ │ │ │ +<img src="../_images/sphx_glr_example_detect_outliers_003.png" srcset="../_images/sphx_glr_example_detect_outliers_003.png, ../_images/sphx_glr_example_detect_outliers_003_3_00x.png 3.00x" alt="example detect outliers" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 2.582 seconds)</p>
│ │ │ │  <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-example-detect-outliers-py">
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/a4a9bd70fc277eac0b5a505f48c84a99/example_detect_outliers.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">example_detect_outliers.ipynb</span></code></a></p>
│ │ │ │  </div>
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-python docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/997bd062873174254128e513e48dc191/example_detect_outliers.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">example_detect_outliers.py</span></code></a></p>
│ │ │ │  </div>
│ │ │ │ ├── html2text {}
│ │ │ │ │ @@ -117,15 +117,15 @@
│ │ │ │ │  
│ │ │ │ │  axs[3].plot(x, stderrs['b'])
│ │ │ │ │  axs[3].scatter(x[idx], stderrs['b'][idx], color='r', label='outlier')
│ │ │ │ │  axs[3].set_ylabel('err b change')
│ │ │ │ │  
│ │ │ │ │  axs[3].set_xlabel('x')
│ │ │ │ │  [example detect outliers]
│ │ │ │ │ -TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 1.549 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 2.582 seconds)
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _J_u_p_y_t_e_r_ _n_o_t_e_b_o_o_k_:_ _e_x_a_m_p_l_e___d_e_t_e_c_t___o_u_t_l_i_e_r_s_._i_p_y_n_b
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _P_y_t_h_o_n_ _s_o_u_r_c_e_ _c_o_d_e_:_ _e_x_a_m_p_l_e___d_e_t_e_c_t___o_u_t_l_i_e_r_s_._p_y
│ │ │ │ │  _G_a_l_l_e_r_y_ _g_e_n_e_r_a_t_e_d_ _b_y_ _S_p_h_i_n_x_-_G_a_l_l_e_r_y
│ │ │ │ │  ******** NNaavviiggaattiioonn ********
│ │ │ │ │      * _i_n_d_e_x
│ │ │ │ │      * _n_e_x_t |
│ │ │ │ │      * _p_r_e_v_i_o_u_s |
│ │ │ ├── ./usr/share/doc/python3-lmfit/html/examples/example_diffev.html
│ │ │ │ @@ -223,15 +223,15 @@
│ │ │ │  </div>
│ │ │ │  <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">yn</span><span class="p">,</span> <span class="s1">&#39;o&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;data&#39;</span><span class="p">)</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">yn</span><span class="o">+</span><span class="n">o1</span><span class="o">.</span><span class="n">residual</span><span class="p">,</span> <span class="s1">&#39;-&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;leastsq&#39;</span><span class="p">)</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">yn</span><span class="o">+</span><span class="n">o2</span><span class="o">.</span><span class="n">residual</span><span class="p">,</span> <span class="s1">&#39;--&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;diffev&#39;</span><span class="p">)</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │ -<img src="../_images/sphx_glr_example_diffev_001.png" srcset="../_images/sphx_glr_example_diffev_001.png, ../_images/sphx_glr_example_diffev_001_3_00x.png 3.00x" alt="example diffev" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.698 seconds)</p>
│ │ │ │ +<img src="../_images/sphx_glr_example_diffev_001.png" srcset="../_images/sphx_glr_example_diffev_001.png, ../_images/sphx_glr_example_diffev_001_3_00x.png 3.00x" alt="example diffev" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.149 seconds)</p>
│ │ │ │  <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-example-diffev-py">
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/b14ecb1d89648d4116095890700c90a4/example_diffev.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">example_diffev.ipynb</span></code></a></p>
│ │ │ │  </div>
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-python docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/9be2a6edec6597f9b4fc9ae817df3c9e/example_diffev.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">example_diffev.py</span></code></a></p>
│ │ │ │  </div>
│ │ │ │ ├── html2text {}
│ │ │ │ │ @@ -105,15 +105,15 @@
│ │ │ │ │      amp:     1.80252727 (init = 2.5)
│ │ │ │ │      decay:   5.76285646 (init = 1)
│ │ │ │ │  plt.plot(x, yn, 'o', label='data')
│ │ │ │ │  plt.plot(x, yn+o1.residual, '-', label='leastsq')
│ │ │ │ │  plt.plot(x, yn+o2.residual, '--', label='diffev')
│ │ │ │ │  plt.legend()
│ │ │ │ │  [example diffev]
│ │ │ │ │ -TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.698 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 1.149 seconds)
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _J_u_p_y_t_e_r_ _n_o_t_e_b_o_o_k_:_ _e_x_a_m_p_l_e___d_i_f_f_e_v_._i_p_y_n_b
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _P_y_t_h_o_n_ _s_o_u_r_c_e_ _c_o_d_e_:_ _e_x_a_m_p_l_e___d_i_f_f_e_v_._p_y
│ │ │ │ │  _G_a_l_l_e_r_y_ _g_e_n_e_r_a_t_e_d_ _b_y_ _S_p_h_i_n_x_-_G_a_l_l_e_r_y
│ │ │ │ │  ******** NNaavviiggaattiioonn ********
│ │ │ │ │      * _i_n_d_e_x
│ │ │ │ │      * _n_e_x_t |
│ │ │ │ │      * _p_r_e_v_i_o_u_s |
│ │ │ ├── ./usr/share/doc/python3-lmfit/html/examples/example_expression_model.html
│ │ │ │ @@ -181,15 +181,15 @@
│ │ │ │  </div>
│ │ │ │  <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">plot</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="s1">&#39;o&#39;</span><span class="p">)</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">result</span><span class="o">.</span><span class="n">init_fit</span><span class="p">,</span> <span class="s1">&#39;--&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;initial fit&#39;</span><span class="p">)</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">result</span><span class="o">.</span><span class="n">best_fit</span><span class="p">,</span> <span class="s1">&#39;-&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;best fit&#39;</span><span class="p">)</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │ -<img src="../_images/sphx_glr_example_expression_model_001.png" srcset="../_images/sphx_glr_example_expression_model_001.png, ../_images/sphx_glr_example_expression_model_001_3_00x.png 3.00x" alt="example expression model" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.368 seconds)</p>
│ │ │ │ +<img src="../_images/sphx_glr_example_expression_model_001.png" srcset="../_images/sphx_glr_example_expression_model_001.png, ../_images/sphx_glr_example_expression_model_001_3_00x.png 3.00x" alt="example expression model" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.559 seconds)</p>
│ │ │ │  <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-example-expression-model-py">
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/18a51e50a47e90524ad3b8de0632b714/example_expression_model.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">example_expression_model.ipynb</span></code></a></p>
│ │ │ │  </div>
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-python docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/dd61d0d99d106be1eecc4533c0a813be/example_expression_model.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">example_expression_model.py</span></code></a></p>
│ │ │ │  </div>
│ │ │ │ ├── html2text {}
│ │ │ │ │ @@ -64,15 +64,15 @@
│ │ │ │ │  [[Correlations]] (unreported correlations are < 0.100)
│ │ │ │ │      C(amp, wid) = +0.5774
│ │ │ │ │  plt.plot(x, y, 'o')
│ │ │ │ │  plt.plot(x, result.init_fit, '--', label='initial fit')
│ │ │ │ │  plt.plot(x, result.best_fit, '-', label='best fit')
│ │ │ │ │  plt.legend()
│ │ │ │ │  [example expression model]
│ │ │ │ │ -TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.368 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.559 seconds)
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _J_u_p_y_t_e_r_ _n_o_t_e_b_o_o_k_:_ _e_x_a_m_p_l_e___e_x_p_r_e_s_s_i_o_n___m_o_d_e_l_._i_p_y_n_b
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _P_y_t_h_o_n_ _s_o_u_r_c_e_ _c_o_d_e_:_ _e_x_a_m_p_l_e___e_x_p_r_e_s_s_i_o_n___m_o_d_e_l_._p_y
│ │ │ │ │  _G_a_l_l_e_r_y_ _g_e_n_e_r_a_t_e_d_ _b_y_ _S_p_h_i_n_x_-_G_a_l_l_e_r_y
│ │ │ │ │  ******** NNaavviiggaattiioonn ********
│ │ │ │ │      * _i_n_d_e_x
│ │ │ │ │      * _n_e_x_t |
│ │ │ │ │      * _p_r_e_v_i_o_u_s |
│ │ │ ├── ./usr/share/doc/python3-lmfit/html/examples/example_fit_multi_datasets.html
│ │ │ │ @@ -230,15 +230,15 @@
│ │ │ │  <p>Plot the data sets and fits</p>
│ │ │ │  <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
│ │ │ │  <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">5</span><span class="p">):</span>
│ │ │ │      <span class="n">y_fit</span> <span class="o">=</span> <span class="n">gauss_dataset</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">params</span><span class="p">,</span> <span class="n">i</span><span class="p">,</span> <span class="n">x</span><span class="p">)</span>
│ │ │ │      <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">data</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="p">:],</span> <span class="s1">&#39;o&#39;</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y_fit</span><span class="p">,</span> <span class="s1">&#39;-&#39;</span><span class="p">)</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │ -<img src="../_images/sphx_glr_example_fit_multi_datasets_001.png" srcset="../_images/sphx_glr_example_fit_multi_datasets_001.png, ../_images/sphx_glr_example_fit_multi_datasets_001_3_00x.png 3.00x" alt="example fit multi datasets" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.385 seconds)</p>
│ │ │ │ +<img src="../_images/sphx_glr_example_fit_multi_datasets_001.png" srcset="../_images/sphx_glr_example_fit_multi_datasets_001.png, ../_images/sphx_glr_example_fit_multi_datasets_001_3_00x.png 3.00x" alt="example fit multi datasets" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.635 seconds)</p>
│ │ │ │  <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-example-fit-multi-datasets-py">
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/e9797dfaa256c029a43c2a364328ed36/example_fit_multi_datasets.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">example_fit_multi_datasets.ipynb</span></code></a></p>
│ │ │ │  </div>
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-python docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/5c7aecfc832cba8709209d4aee80c638/example_fit_multi_datasets.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">example_fit_multi_datasets.py</span></code></a></p>
│ │ │ │  </div>
│ │ │ │ ├── html2text {}
│ │ │ │ │ @@ -111,15 +111,15 @@
│ │ │ │ │      C(amp_2, amp_5) = +0.1092
│ │ │ │ │  Plot the data sets and fits
│ │ │ │ │  plt.figure()
│ │ │ │ │  for i in range(5):
│ │ │ │ │      y_fit = gauss_dataset(out.params, i, x)
│ │ │ │ │      plt.plot(x, data[i, :], 'o', x, y_fit, '-')
│ │ │ │ │  [example fit multi datasets]
│ │ │ │ │ -TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.385 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.635 seconds)
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _J_u_p_y_t_e_r_ _n_o_t_e_b_o_o_k_:_ _e_x_a_m_p_l_e___f_i_t___m_u_l_t_i___d_a_t_a_s_e_t_s_._i_p_y_n_b
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _P_y_t_h_o_n_ _s_o_u_r_c_e_ _c_o_d_e_:_ _e_x_a_m_p_l_e___f_i_t___m_u_l_t_i___d_a_t_a_s_e_t_s_._p_y
│ │ │ │ │  _G_a_l_l_e_r_y_ _g_e_n_e_r_a_t_e_d_ _b_y_ _S_p_h_i_n_x_-_G_a_l_l_e_r_y
│ │ │ │ │  ******** NNaavviiggaattiioonn ********
│ │ │ │ │      * _i_n_d_e_x
│ │ │ │ │      * _n_e_x_t |
│ │ │ │ │      * _p_r_e_v_i_o_u_s |
│ │ │ ├── ./usr/share/doc/python3-lmfit/html/examples/example_fit_with_algebraic_constraint.html
│ │ │ │ @@ -210,15 +210,15 @@
│ │ │ │      C(g_sigma, total_amplitude)        = -0.4115
│ │ │ │      C(g_center, line_intercept)        = +0.3868
│ │ │ │      C(g_amplitude, line_intercept)     = +0.1834
│ │ │ │      C(g_amplitude, line_slope)         = +0.1825
│ │ │ │      C(g_sigma, line_slope)             = +0.1739
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │ -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.381 seconds)</p>
│ │ │ │ +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.641 seconds)</p>
│ │ │ │  <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-example-fit-with-algebraic-constraint-py">
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/795f02254c8fb4ff85239a1247e0cdb3/example_fit_with_algebraic_constraint.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">example_fit_with_algebraic_constraint.ipynb</span></code></a></p>
│ │ │ │  </div>
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-python docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/cb6735e259aa0fe1e9993a89862af987/example_fit_with_algebraic_constraint.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">example_fit_with_algebraic_constraint.py</span></code></a></p>
│ │ │ │  </div>
│ │ │ │ ├── html2text {}
│ │ │ │ │ @@ -106,15 +106,15 @@
│ │ │ │ │      C(g_amplitude, total_amplitude)    = -0.6115
│ │ │ │ │      C(line_intercept, total_amplitude) = -0.5883
│ │ │ │ │      C(g_sigma, total_amplitude)        = -0.4115
│ │ │ │ │      C(g_center, line_intercept)        = +0.3868
│ │ │ │ │      C(g_amplitude, line_intercept)     = +0.1834
│ │ │ │ │      C(g_amplitude, line_slope)         = +0.1825
│ │ │ │ │      C(g_sigma, line_slope)             = +0.1739
│ │ │ │ │ -TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.381 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.641 seconds)
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _J_u_p_y_t_e_r_ _n_o_t_e_b_o_o_k_:_ _e_x_a_m_p_l_e___f_i_t___w_i_t_h___a_l_g_e_b_r_a_i_c___c_o_n_s_t_r_a_i_n_t_._i_p_y_n_b
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _P_y_t_h_o_n_ _s_o_u_r_c_e_ _c_o_d_e_:_ _e_x_a_m_p_l_e___f_i_t___w_i_t_h___a_l_g_e_b_r_a_i_c___c_o_n_s_t_r_a_i_n_t_._p_y
│ │ │ │ │  _G_a_l_l_e_r_y_ _g_e_n_e_r_a_t_e_d_ _b_y_ _S_p_h_i_n_x_-_G_a_l_l_e_r_y
│ │ │ │ │  ******** NNaavviiggaattiioonn ********
│ │ │ │ │      * _i_n_d_e_x
│ │ │ │ │      * _n_e_x_t |
│ │ │ │ │      * _p_r_e_v_i_o_u_s |
│ │ │ ├── ./usr/share/doc/python3-lmfit/html/examples/example_fit_with_bounds.html
│ │ │ │ @@ -208,15 +208,15 @@
│ │ │ │  </div>
│ │ │ │  <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="s1">&#39;o&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;data&#39;</span><span class="p">)</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">fit</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;best fit&#39;</span><span class="p">)</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │ -<img src="../_images/sphx_glr_example_fit_with_bounds_001.png" srcset="../_images/sphx_glr_example_fit_with_bounds_001.png, ../_images/sphx_glr_example_fit_with_bounds_001_3_00x.png 3.00x" alt="example fit with bounds" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.377 seconds)</p>
│ │ │ │ +<img src="../_images/sphx_glr_example_fit_with_bounds_001.png" srcset="../_images/sphx_glr_example_fit_with_bounds_001.png, ../_images/sphx_glr_example_fit_with_bounds_001_3_00x.png 3.00x" alt="example fit with bounds" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.619 seconds)</p>
│ │ │ │  <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-example-fit-with-bounds-py">
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/fd01b33f1731fe67d0f89a803067a496/example_fit_with_bounds.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">example_fit_with_bounds.ipynb</span></code></a></p>
│ │ │ │  </div>
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-python docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/27b87cac9cd9afd7fa73c15f10211608/example_fit_with_bounds.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">example_fit_with_bounds.py</span></code></a></p>
│ │ │ │  </div>
│ │ │ │ ├── html2text {}
│ │ │ │ │ @@ -91,15 +91,15 @@
│ │ │ │ │    | decay    | +0.5757  | -0.0404  | -0.0502  | +1.0000  |
│ │ │ │ │    +----------+----------+----------+----------+----------+
│ │ │ │ │  plt.plot(x, data, 'o', label='data')
│ │ │ │ │  plt.plot(x, fit, label='best fit')
│ │ │ │ │  plt.legend()
│ │ │ │ │  plt.show()
│ │ │ │ │  [example fit with bounds]
│ │ │ │ │ -TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.377 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.619 seconds)
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _J_u_p_y_t_e_r_ _n_o_t_e_b_o_o_k_:_ _e_x_a_m_p_l_e___f_i_t___w_i_t_h___b_o_u_n_d_s_._i_p_y_n_b
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _P_y_t_h_o_n_ _s_o_u_r_c_e_ _c_o_d_e_:_ _e_x_a_m_p_l_e___f_i_t___w_i_t_h___b_o_u_n_d_s_._p_y
│ │ │ │ │  _G_a_l_l_e_r_y_ _g_e_n_e_r_a_t_e_d_ _b_y_ _S_p_h_i_n_x_-_G_a_l_l_e_r_y
│ │ │ │ │  ******** NNaavviiggaattiioonn ********
│ │ │ │ │      * _i_n_d_e_x
│ │ │ │ │      * _n_e_x_t |
│ │ │ │ │      * _p_r_e_v_i_o_u_s |
│ │ │ ├── ./usr/share/doc/python3-lmfit/html/examples/example_fit_with_derivfunc.html
│ │ │ │ @@ -214,15 +214,15 @@
│ │ │ │  both methods:</p>
│ │ │ │  <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="s1">&#39;o&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;data&#39;</span><span class="p">)</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">fit1</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;with analytical derivative&#39;</span><span class="p">)</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">fit2</span><span class="p">,</span> <span class="s1">&#39;--&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;without analytical derivative&#39;</span><span class="p">)</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │ -<img src="../_images/sphx_glr_example_fit_with_derivfunc_001.png" srcset="../_images/sphx_glr_example_fit_with_derivfunc_001.png, ../_images/sphx_glr_example_fit_with_derivfunc_001_3_00x.png 3.00x" alt="example fit with derivfunc" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.362 seconds)</p>
│ │ │ │ +<img src="../_images/sphx_glr_example_fit_with_derivfunc_001.png" srcset="../_images/sphx_glr_example_fit_with_derivfunc_001.png, ../_images/sphx_glr_example_fit_with_derivfunc_001_3_00x.png 3.00x" alt="example fit with derivfunc" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.570 seconds)</p>
│ │ │ │  <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-example-fit-with-derivfunc-py">
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/a48b6f5c2c4202cb67d15a117c5eb6bc/example_fit_with_derivfunc.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">example_fit_with_derivfunc.ipynb</span></code></a></p>
│ │ │ │  </div>
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-python docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/34710c8e386116e372179d0463d53c6a/example_fit_with_derivfunc.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">example_fit_with_derivfunc.py</span></code></a></p>
│ │ │ │  </div>
│ │ │ │ ├── html2text {}
│ │ │ │ │ @@ -100,15 +100,15 @@
│ │ │ │ │  and the best-fit to the synthetic data (with added noise) is the same for both
│ │ │ │ │  methods:
│ │ │ │ │  plt.plot(x, data, 'o', label='data')
│ │ │ │ │  plt.plot(x, fit1, label='with analytical derivative')
│ │ │ │ │  plt.plot(x, fit2, '--', label='without analytical derivative')
│ │ │ │ │  plt.legend()
│ │ │ │ │  [example fit with derivfunc]
│ │ │ │ │ -TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.362 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.570 seconds)
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _J_u_p_y_t_e_r_ _n_o_t_e_b_o_o_k_:_ _e_x_a_m_p_l_e___f_i_t___w_i_t_h___d_e_r_i_v_f_u_n_c_._i_p_y_n_b
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _P_y_t_h_o_n_ _s_o_u_r_c_e_ _c_o_d_e_:_ _e_x_a_m_p_l_e___f_i_t___w_i_t_h___d_e_r_i_v_f_u_n_c_._p_y
│ │ │ │ │  _G_a_l_l_e_r_y_ _g_e_n_e_r_a_t_e_d_ _b_y_ _S_p_h_i_n_x_-_G_a_l_l_e_r_y
│ │ │ │ │  ******** NNaavviiggaattiioonn ********
│ │ │ │ │      * _i_n_d_e_x
│ │ │ │ │      * _n_e_x_t |
│ │ │ │ │      * _p_r_e_v_i_o_u_s |
│ │ │ ├── ./usr/share/doc/python3-lmfit/html/examples/example_fit_with_inequality.html
│ │ │ │ @@ -200,15 +200,15 @@
│ │ │ │  <p>and figure:</p>
│ │ │ │  <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="s1">&#39;o&#39;</span><span class="p">)</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">best_fit</span><span class="p">,</span> <span class="s1">&#39;--&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;best fit&#39;</span><span class="p">)</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │ -<img src="../_images/sphx_glr_example_fit_with_inequality_001.png" srcset="../_images/sphx_glr_example_fit_with_inequality_001.png, ../_images/sphx_glr_example_fit_with_inequality_001_3_00x.png 3.00x" alt="example fit with inequality" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.405 seconds)</p>
│ │ │ │ +<img src="../_images/sphx_glr_example_fit_with_inequality_001.png" srcset="../_images/sphx_glr_example_fit_with_inequality_001.png, ../_images/sphx_glr_example_fit_with_inequality_001_3_00x.png 3.00x" alt="example fit with inequality" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.580 seconds)</p>
│ │ │ │  <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-example-fit-with-inequality-py">
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/8cc2f5f768207b7533d24c7fd6035d90/example_fit_with_inequality.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">example_fit_with_inequality.ipynb</span></code></a></p>
│ │ │ │  </div>
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-python docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/0372b8f3b0b615eb40855b665c11d339/example_fit_with_inequality.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">example_fit_with_inequality.py</span></code></a></p>
│ │ │ │  </div>
│ │ │ │ ├── html2text {}
│ │ │ │ │ @@ -84,15 +84,15 @@
│ │ │ │ │      C(cen_g, wid_g)      = +0.1546
│ │ │ │ │  and figure:
│ │ │ │ │  plt.plot(x, data, 'o')
│ │ │ │ │  plt.plot(x, best_fit, '--', label='best fit')
│ │ │ │ │  plt.legend()
│ │ │ │ │  plt.show()
│ │ │ │ │  [example fit with inequality]
│ │ │ │ │ -TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.405 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.580 seconds)
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _J_u_p_y_t_e_r_ _n_o_t_e_b_o_o_k_:_ _e_x_a_m_p_l_e___f_i_t___w_i_t_h___i_n_e_q_u_a_l_i_t_y_._i_p_y_n_b
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _P_y_t_h_o_n_ _s_o_u_r_c_e_ _c_o_d_e_:_ _e_x_a_m_p_l_e___f_i_t___w_i_t_h___i_n_e_q_u_a_l_i_t_y_._p_y
│ │ │ │ │  _G_a_l_l_e_r_y_ _g_e_n_e_r_a_t_e_d_ _b_y_ _S_p_h_i_n_x_-_G_a_l_l_e_r_y
│ │ │ │ │  ******** NNaavviiggaattiioonn ********
│ │ │ │ │      * _i_n_d_e_x
│ │ │ │ │      * _n_e_x_t |
│ │ │ │ │      * _p_r_e_v_i_o_u_s |
│ │ │ ├── ./usr/share/doc/python3-lmfit/html/examples/example_reduce_fcn.html
│ │ │ │ @@ -237,15 +237,15 @@
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">yn</span><span class="p">,</span> <span class="s1">&#39;--*&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;with noise+outliers&#39;</span><span class="p">)</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">yn</span><span class="o">+</span><span class="n">o1</span><span class="o">.</span><span class="n">residual</span><span class="p">,</span> <span class="s1">&#39;-&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;sum of squares fit&#39;</span><span class="p">)</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">yn</span><span class="o">+</span><span class="n">o2</span><span class="o">.</span><span class="n">residual</span><span class="p">,</span> <span class="s1">&#39;-&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;robust fit&#39;</span><span class="p">)</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │ -<img src="../_images/sphx_glr_example_reduce_fcn_001.png" srcset="../_images/sphx_glr_example_reduce_fcn_001.png, ../_images/sphx_glr_example_reduce_fcn_001_3_00x.png 3.00x" alt="example reduce fcn" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.668 seconds)</p>
│ │ │ │ +<img src="../_images/sphx_glr_example_reduce_fcn_001.png" srcset="../_images/sphx_glr_example_reduce_fcn_001.png, ../_images/sphx_glr_example_reduce_fcn_001_3_00x.png 3.00x" alt="example reduce fcn" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.681 seconds)</p>
│ │ │ │  <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-example-reduce-fcn-py">
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/5d125e1fb5f23aa5a5473c67a4699244/example_reduce_fcn.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">example_reduce_fcn.ipynb</span></code></a></p>
│ │ │ │  </div>
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-python docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/d0e8e1e708ca0de18639372a3ff96a6a/example_reduce_fcn.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">example_reduce_fcn.py</span></code></a></p>
│ │ │ │  </div>
│ │ │ │ ├── html2text {}
│ │ │ │ │ @@ -118,15 +118,15 @@
│ │ │ │ │  plt.plot(x, y, 'o', label='true function')
│ │ │ │ │  plt.plot(x, yn, '--*', label='with noise+outliers')
│ │ │ │ │  plt.plot(x, yn+o1.residual, '-', label='sum of squares fit')
│ │ │ │ │  plt.plot(x, yn+o2.residual, '-', label='robust fit')
│ │ │ │ │  plt.legend()
│ │ │ │ │  plt.show()
│ │ │ │ │  [example reduce fcn]
│ │ │ │ │ -TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.668 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.681 seconds)
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _J_u_p_y_t_e_r_ _n_o_t_e_b_o_o_k_:_ _e_x_a_m_p_l_e___r_e_d_u_c_e___f_c_n_._i_p_y_n_b
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _P_y_t_h_o_n_ _s_o_u_r_c_e_ _c_o_d_e_:_ _e_x_a_m_p_l_e___r_e_d_u_c_e___f_c_n_._p_y
│ │ │ │ │  _G_a_l_l_e_r_y_ _g_e_n_e_r_a_t_e_d_ _b_y_ _S_p_h_i_n_x_-_G_a_l_l_e_r_y
│ │ │ │ │  ******** NNaavviiggaattiioonn ********
│ │ │ │ │      * _i_n_d_e_x
│ │ │ │ │      * _n_e_x_t |
│ │ │ │ │      * _p_r_e_v_i_o_u_s |
│ │ │ ├── ./usr/share/doc/python3-lmfit/html/examples/example_sympy.html
│ │ │ │ @@ -199,15 +199,15 @@
│ │ │ │  <span class="n">param2_values</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">x</span><span class="p">,</span> <span class="n">A1</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">sigma1</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">xc1</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">xc2</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">xw</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">B</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
│ │ │ │  <span class="n">res2</span> <span class="o">=</span> <span class="n">lm_mod</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">yn</span><span class="p">,</span> <span class="o">**</span><span class="n">param2_values</span><span class="p">)</span>
│ │ │ │  <span class="n">res2</span><span class="o">.</span><span class="n">plot_fit</span><span class="p">()</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">plot</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">label</span><span class="o">=</span><span class="s1">&#39;true&#39;</span><span class="p">)</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │ -<img src="../_images/sphx_glr_example_sympy_003.png" srcset="../_images/sphx_glr_example_sympy_003.png, ../_images/sphx_glr_example_sympy_003_3_00x.png 3.00x" alt="Model(_lambdifygenerated)" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.573 seconds)</p>
│ │ │ │ +<img src="../_images/sphx_glr_example_sympy_003.png" srcset="../_images/sphx_glr_example_sympy_003.png, ../_images/sphx_glr_example_sympy_003_3_00x.png 3.00x" alt="Model(_lambdifygenerated)" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 2.407 seconds)</p>
│ │ │ │  <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-example-sympy-py">
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/6069607ae016c4f4f055d1c8dfd4bfa7/example_sympy.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">example_sympy.ipynb</span></code></a></p>
│ │ │ │  </div>
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-python docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/ecc08a53d28f5c81caa3656731ba5657/example_sympy.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">example_sympy.py</span></code></a></p>
│ │ │ │  </div>
│ │ │ │ ├── html2text {}
│ │ │ │ │ @@ -82,15 +82,15 @@
│ │ │ │ │  lm_mod = lmfit.Model(model2_func, independent_vars=('x'))
│ │ │ │ │  param2_values = dict(x=x, A1=2, sigma1=1, xc1=2, xc2=5, xw=4, B=5)
│ │ │ │ │  res2 = lm_mod.fit(data=yn, **param2_values)
│ │ │ │ │  res2.plot_fit()
│ │ │ │ │  plt.plot(x, y, label='true')
│ │ │ │ │  plt.legend()
│ │ │ │ │  [Model(_lambdifygenerated)]
│ │ │ │ │ -TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 1.573 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 2.407 seconds)
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _J_u_p_y_t_e_r_ _n_o_t_e_b_o_o_k_:_ _e_x_a_m_p_l_e___s_y_m_p_y_._i_p_y_n_b
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _P_y_t_h_o_n_ _s_o_u_r_c_e_ _c_o_d_e_:_ _e_x_a_m_p_l_e___s_y_m_p_y_._p_y
│ │ │ │ │  _G_a_l_l_e_r_y_ _g_e_n_e_r_a_t_e_d_ _b_y_ _S_p_h_i_n_x_-_G_a_l_l_e_r_y
│ │ │ │ │  ******** NNaavviiggaattiioonn ********
│ │ │ │ │      * _i_n_d_e_x
│ │ │ │ │      * _n_e_x_t |
│ │ │ │ │      * _p_r_e_v_i_o_u_s |
│ │ │ ├── ./usr/share/doc/python3-lmfit/html/examples/example_two_dimensional_peak.html
│ │ │ │ @@ -350,15 +350,15 @@
│ │ │ │  <span class="k">for</span> <span class="n">ax</span> <span class="ow">in</span> <span class="n">axs</span><span class="o">.</span><span class="n">ravel</span><span class="p">():</span>
│ │ │ │      <span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">&#39;x&#39;</span><span class="p">)</span>
│ │ │ │      <span class="n">ax</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">&#39;y&#39;</span><span class="p">)</span>
│ │ │ │  <span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">remove</span><span class="p">()</span>
│ │ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │ -<img src="../_images/sphx_glr_example_two_dimensional_peak_004.png" srcset="../_images/sphx_glr_example_two_dimensional_peak_004.png, ../_images/sphx_glr_example_two_dimensional_peak_004_3_00x.png 3.00x" alt="Data, Fit, Data - Fit" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 3.944 seconds)</p>
│ │ │ │ +<img src="../_images/sphx_glr_example_two_dimensional_peak_004.png" srcset="../_images/sphx_glr_example_two_dimensional_peak_004.png, ../_images/sphx_glr_example_two_dimensional_peak_004_3_00x.png 3.00x" alt="Data, Fit, Data - Fit" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 7.101 seconds)</p>
│ │ │ │  <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-example-two-dimensional-peak-py">
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/ee6bdfefbd3fee18a7b2cb99c291f27e/example_two_dimensional_peak.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">example_two_dimensional_peak.ipynb</span></code></a></p>
│ │ │ │  </div>
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-python docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/87be2ee5d3294a608face2290f955fe3/example_two_dimensional_peak.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">example_two_dimensional_peak.py</span></code></a></p>
│ │ │ │  </div>
│ │ │ │ ├── html2text {}
│ │ │ │ │ @@ -219,15 +219,15 @@
│ │ │ │ │  
│ │ │ │ │  for ax in axs.ravel():
│ │ │ │ │      ax.set_xlabel('x')
│ │ │ │ │      ax.set_ylabel('y')
│ │ │ │ │  axs[1, 1].remove()
│ │ │ │ │  plt.show()
│ │ │ │ │  [Data, Fit, Data - Fit]
│ │ │ │ │ -TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 3.944 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 7.101 seconds)
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _J_u_p_y_t_e_r_ _n_o_t_e_b_o_o_k_:_ _e_x_a_m_p_l_e___t_w_o___d_i_m_e_n_s_i_o_n_a_l___p_e_a_k_._i_p_y_n_b
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _P_y_t_h_o_n_ _s_o_u_r_c_e_ _c_o_d_e_:_ _e_x_a_m_p_l_e___t_w_o___d_i_m_e_n_s_i_o_n_a_l___p_e_a_k_._p_y
│ │ │ │ │  _G_a_l_l_e_r_y_ _g_e_n_e_r_a_t_e_d_ _b_y_ _S_p_h_i_n_x_-_G_a_l_l_e_r_y
│ │ │ │ │  ******** NNaavviiggaattiioonn ********
│ │ │ │ │      * _i_n_d_e_x
│ │ │ │ │      * _n_e_x_t |
│ │ │ │ │      * _p_r_e_v_i_o_u_s |
│ │ │ ├── ./usr/share/doc/python3-lmfit/html/examples/example_use_pandas.html
│ │ │ │ @@ -175,15 +175,15 @@
│ │ │ │      C(amplitude, sigma) = +0.7087
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │  <p>and plot below:</p>
│ │ │ │  <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="n">result</span><span class="o">.</span><span class="n">plot_fit</span><span class="p">()</span>
│ │ │ │  </pre></div>
│ │ │ │  </div>
│ │ │ │ -<img src="../_images/sphx_glr_example_use_pandas_001.png" srcset="../_images/sphx_glr_example_use_pandas_001.png, ../_images/sphx_glr_example_use_pandas_001_3_00x.png 3.00x" alt="Model(lorentzian)" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.393 seconds)</p>
│ │ │ │ +<img src="../_images/sphx_glr_example_use_pandas_001.png" srcset="../_images/sphx_glr_example_use_pandas_001.png, ../_images/sphx_glr_example_use_pandas_001_3_00x.png 3.00x" alt="Model(lorentzian)" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.609 seconds)</p>
│ │ │ │  <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-example-use-pandas-py">
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/5adbaff47e6aef0917d3da79f59fba26/example_use_pandas.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">example_use_pandas.ipynb</span></code></a></p>
│ │ │ │  </div>
│ │ │ │  <div class="sphx-glr-download sphx-glr-download-python docutils container">
│ │ │ │  <p><a class="reference download internal" download="" href="../_downloads/67e6ee8d13b1ad43c31b4b2dc6d01d54/example_use_pandas.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">example_use_pandas.py</span></code></a></p>
│ │ │ │  </div>
│ │ │ │ ├── html2text {}
│ │ │ │ │ @@ -61,15 +61,15 @@
│ │ │ │ │      height:     10.7899573 +/- 0.17160652 (1.59%) == '0.3183099*amplitude/max
│ │ │ │ │  (1e-15, sigma)'
│ │ │ │ │  [[Correlations]] (unreported correlations are < 0.100)
│ │ │ │ │      C(amplitude, sigma) = +0.7087
│ │ │ │ │  and plot below:
│ │ │ │ │  result.plot_fit()
│ │ │ │ │  [Model(lorentzian)]
│ │ │ │ │ -TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.393 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.609 seconds)
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _J_u_p_y_t_e_r_ _n_o_t_e_b_o_o_k_:_ _e_x_a_m_p_l_e___u_s_e___p_a_n_d_a_s_._i_p_y_n_b
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _P_y_t_h_o_n_ _s_o_u_r_c_e_ _c_o_d_e_:_ _e_x_a_m_p_l_e___u_s_e___p_a_n_d_a_s_._p_y
│ │ │ │ │  _G_a_l_l_e_r_y_ _g_e_n_e_r_a_t_e_d_ _b_y_ _S_p_h_i_n_x_-_G_a_l_l_e_r_y
│ │ │ │ │  ******** NNaavviiggaattiioonn ********
│ │ │ │ │      * _i_n_d_e_x
│ │ │ │ │      * _n_e_x_t |
│ │ │ │ │      * _p_r_e_v_i_o_u_s |
│ │ │ ├── ./usr/share/doc/python3-lmfit/html/searchindex.js
│ │ │ │ ├── js-beautify {}
│ │ │ │ │ @@ -1402,19 +1402,20 @@
│ │ │ │ │          "1": [0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29, 30],
│ │ │ │ │          "10": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 26, 29, 30],
│ │ │ │ │          "100": [5, 6, 7, 8, 9, 10, 11, 12, 13, 16, 19, 20, 22, 25, 29, 30],
│ │ │ │ │          "1000": [1, 5, 25, 29],
│ │ │ │ │          "10000": [7, 19],
│ │ │ │ │          "1001440": 17,
│ │ │ │ │          "10059": 7,
│ │ │ │ │ -        "101": [6, 10, 17, 20],
│ │ │ │ │ +        "101": [6, 10, 17, 19, 20],
│ │ │ │ │          "10197422": 12,
│ │ │ │ │          "102": 30,
│ │ │ │ │          "103": 17,
│ │ │ │ │          "10392444": 17,
│ │ │ │ │ +        "104": 8,
│ │ │ │ │          "10496396": 16,
│ │ │ │ │          "106": 6,
│ │ │ │ │          "107": 17,
│ │ │ │ │          "10725864": 5,
│ │ │ │ │          "1092": 12,
│ │ │ │ │          "11": [1, 2, 6, 16, 25, 32],
│ │ │ │ │          "110": 6,
│ │ │ │ │ @@ -1423,15 +1424,14 @@
│ │ │ │ │          "11125903": 13,
│ │ │ │ │          "11134755": 5,
│ │ │ │ │          "11270194": 5,
│ │ │ │ │          "11287": 19,
│ │ │ │ │          "11301": 14,
│ │ │ │ │          "115": 6,
│ │ │ │ │          "11643510": 12,
│ │ │ │ │ -        "117": 7,
│ │ │ │ │          "11741198": 19,
│ │ │ │ │          "11813": 24,
│ │ │ │ │          "119": 6,
│ │ │ │ │          "12": [1, 4, 13, 15, 17, 26],
│ │ │ │ │          "120": 13,
│ │ │ │ │          "1208": 6,
│ │ │ │ │          "12156": 8,
│ │ │ │ │ @@ -1468,27 +1468,29 @@
│ │ │ │ │          "146": 10,
│ │ │ │ │          "14669316": 5,
│ │ │ │ │          "14669319": 5,
│ │ │ │ │          "146693193034349": 5,
│ │ │ │ │          "147": 5,
│ │ │ │ │          "14795": 8,
│ │ │ │ │          "14847": 8,
│ │ │ │ │ +        "149": 10,
│ │ │ │ │          "15": [4, 6, 8, 11, 13, 15, 19, 20, 22, 23, 24, 25, 26, 27],
│ │ │ │ │          "1500": 14,
│ │ │ │ │          "151": 12,
│ │ │ │ │          "1530": 7,
│ │ │ │ │          "1530621": 20,
│ │ │ │ │          "1543": 7,
│ │ │ │ │          "15448795": 5,
│ │ │ │ │          "1546": 16,
│ │ │ │ │          "15503770": 20,
│ │ │ │ │          "1591549": 19,
│ │ │ │ │          "16": [1, 6, 8, 19, 32],
│ │ │ │ │          "1647": 8,
│ │ │ │ │          "1651": 16,
│ │ │ │ │ +        "166": 6,
│ │ │ │ │          "1670": 8,
│ │ │ │ │          "1674767": 17,
│ │ │ │ │          "17": [5, 11, 32],
│ │ │ │ │          "17160652": 20,
│ │ │ │ │          "1739": 13,
│ │ │ │ │          "175": 1,
│ │ │ │ │          "1774": 19,
│ │ │ │ │ @@ -1585,15 +1587,14 @@
│ │ │ │ │          "27": [4, 8, 16, 19, 26],
│ │ │ │ │          "2722842": 16,
│ │ │ │ │          "2761": 16,
│ │ │ │ │          "27s_t": 1,
│ │ │ │ │          "28": [5, 23, 27],
│ │ │ │ │          "28002384": 5,
│ │ │ │ │          "28378389": 19,
│ │ │ │ │ -        "284": 6,
│ │ │ │ │          "28588": 11,
│ │ │ │ │          "2887": 13,
│ │ │ │ │          "28904676": 19,
│ │ │ │ │          "29": 16,
│ │ │ │ │          "2913": 13,
│ │ │ │ │          "2919": 12,
│ │ │ │ │          "294636": 7,
│ │ │ │ │ @@ -1635,49 +1636,42 @@
│ │ │ │ │          "34544481": 17,
│ │ │ │ │          "35": 8,
│ │ │ │ │          "3539e": 7,
│ │ │ │ │          "35409534": 19,
│ │ │ │ │          "3548": 1,
│ │ │ │ │          "3548200": [13, 19],
│ │ │ │ │          "3585": 15,
│ │ │ │ │ -        "36": [8, 12],
│ │ │ │ │ -        "362": 15,
│ │ │ │ │ +        "36": 12,
│ │ │ │ │          "3646": 14,
│ │ │ │ │          "36481425": 13,
│ │ │ │ │ -        "368": 11,
│ │ │ │ │          "37": [12, 14, 19],
│ │ │ │ │          "3742": 12,
│ │ │ │ │          "375000": 6,
│ │ │ │ │ -        "377": 14,
│ │ │ │ │          "3796": 16,
│ │ │ │ │          "38": 19,
│ │ │ │ │ -        "381": 13,
│ │ │ │ │          "3823": 19,
│ │ │ │ │ -        "385": 12,
│ │ │ │ │          "3868": 13,
│ │ │ │ │          "39": [15, 20],
│ │ │ │ │          "39269908": 6,
│ │ │ │ │ -        "393": 20,
│ │ │ │ │          "3989423": 13,
│ │ │ │ │          "3f": [15, 23],
│ │ │ │ │          "4": [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 22, 23, 26, 27, 29, 30],
│ │ │ │ │          "40": 18,
│ │ │ │ │          "401856": 9,
│ │ │ │ │          "404": 30,
│ │ │ │ │ -        "405": 16,
│ │ │ │ │          "40625133": 11,
│ │ │ │ │ +        "407": 18,
│ │ │ │ │          "41": [5, 7, 8],
│ │ │ │ │          "411487": 10,
│ │ │ │ │          "4115": 13,
│ │ │ │ │          "41261395": 13,
│ │ │ │ │          "416": 25,
│ │ │ │ │          "41851637": 13,
│ │ │ │ │          "4195833": 19,
│ │ │ │ │          "42": 5,
│ │ │ │ │ -        "43": 6,
│ │ │ │ │          "4321": 14,
│ │ │ │ │          "436525": 17,
│ │ │ │ │          "43989663": 6,
│ │ │ │ │          "44": 6,
│ │ │ │ │          "44026387": 14,
│ │ │ │ │          "44044": 14,
│ │ │ │ │          "45": 8,
│ │ │ │ │ @@ -1748,94 +1742,96 @@
│ │ │ │ │          "537781821432": 7,
│ │ │ │ │          "538": 7,
│ │ │ │ │          "539": 32,
│ │ │ │ │          "540": 32,
│ │ │ │ │          "542": 32,
│ │ │ │ │          "543": 32,
│ │ │ │ │          "545": 32,
│ │ │ │ │ -        "546": 5,
│ │ │ │ │          "547": 32,
│ │ │ │ │          "54740777": 19,
│ │ │ │ │          "548": 32,
│ │ │ │ │ -        "549": [9, 32],
│ │ │ │ │ +        "549": 32,
│ │ │ │ │          "55": [9, 13],
│ │ │ │ │          "550": 32,
│ │ │ │ │          "552": 32,
│ │ │ │ │          "553": 32,
│ │ │ │ │          "554": 32,
│ │ │ │ │          "55438813": 14,
│ │ │ │ │          "556": 32,
│ │ │ │ │          "558": 32,
│ │ │ │ │ -        "559": 32,
│ │ │ │ │ +        "559": [11, 32],
│ │ │ │ │          "560": 32,
│ │ │ │ │          "560626": 17,
│ │ │ │ │          "561": 32,
│ │ │ │ │          "5624928": 6,
│ │ │ │ │          "5625": 6,
│ │ │ │ │          "5635": 15,
│ │ │ │ │          "564": 32,
│ │ │ │ │          "565": 32,
│ │ │ │ │          "567": 32,
│ │ │ │ │          "569": 32,
│ │ │ │ │ -        "570": 32,
│ │ │ │ │ +        "570": [15, 32],
│ │ │ │ │          "57079633": 6,
│ │ │ │ │          "571": [6, 32],
│ │ │ │ │          "572": 32,
│ │ │ │ │ -        "573": [18, 32],
│ │ │ │ │ +        "573": 32,
│ │ │ │ │          "574": 32,
│ │ │ │ │          "575": 32,
│ │ │ │ │          "5757": 14,
│ │ │ │ │          "5758": 8,
│ │ │ │ │          "576": 32,
│ │ │ │ │          "5767": 19,
│ │ │ │ │          "5774": 11,
│ │ │ │ │          "57742880": 19,
│ │ │ │ │          "578": 32,
│ │ │ │ │          "579": 32,
│ │ │ │ │          "58": [16, 19],
│ │ │ │ │ +        "580": 16,
│ │ │ │ │ +        "582": 9,
│ │ │ │ │          "583": 32,
│ │ │ │ │          "5838": 6,
│ │ │ │ │          "584": 32,
│ │ │ │ │          "585": 32,
│ │ │ │ │          "586": 32,
│ │ │ │ │          "587": 32,
│ │ │ │ │          "588": 32,
│ │ │ │ │          "5883": 13,
│ │ │ │ │          "589": 32,
│ │ │ │ │ -        "59": 20,
│ │ │ │ │ +        "59": [8, 20],
│ │ │ │ │          "591": 32,
│ │ │ │ │          "593": 32,
│ │ │ │ │          "594": 1,
│ │ │ │ │          "595": 32,
│ │ │ │ │          "596": 32,
│ │ │ │ │ -        "597": 32,
│ │ │ │ │ +        "597": [7, 32],
│ │ │ │ │          "598": 32,
│ │ │ │ │          "599": 32,
│ │ │ │ │          "6": [4, 5, 6, 9, 12, 13, 16, 19, 22, 24, 25, 26, 27],
│ │ │ │ │          "60": [9, 12, 22],
│ │ │ │ │          "600": 32,
│ │ │ │ │          "6003779": 13,
│ │ │ │ │          "6008": 9,
│ │ │ │ │          "601": [13, 16],
│ │ │ │ │          "6013": 1,
│ │ │ │ │          "604": 32,
│ │ │ │ │          "607": 32,
│ │ │ │ │          "608": 32,
│ │ │ │ │ +        "609": 20,
│ │ │ │ │          "61": 5,
│ │ │ │ │          "610": 32,
│ │ │ │ │          "611": 32,
│ │ │ │ │          "61125903": 13,
│ │ │ │ │          "6115": 13,
│ │ │ │ │          "612": 32,
│ │ │ │ │          "612196": 9,
│ │ │ │ │          "614": 32,
│ │ │ │ │          "616": 32,
│ │ │ │ │          "61672968": 13,
│ │ │ │ │          "617": 1,
│ │ │ │ │ -        "619": 32,
│ │ │ │ │ +        "619": [14, 32],
│ │ │ │ │          "6199": 16,
│ │ │ │ │          "62": 5,
│ │ │ │ │          "620": 32,
│ │ │ │ │          "62017": 7,
│ │ │ │ │          "6227": 13,
│ │ │ │ │          "623": 32,
│ │ │ │ │          "62389897": 20,
│ │ │ │ │ @@ -1844,17 +1840,19 @@
│ │ │ │ │          "62659935": 16,
│ │ │ │ │          "627": 32,
│ │ │ │ │          "629": 32,
│ │ │ │ │          "630": 32,
│ │ │ │ │          "631": 32,
│ │ │ │ │          "633": 32,
│ │ │ │ │          "634": 32,
│ │ │ │ │ +        "635": 12,
│ │ │ │ │          "636": 32,
│ │ │ │ │          "637": 32,
│ │ │ │ │          "64": 25,
│ │ │ │ │ +        "641": 13,
│ │ │ │ │          "6417887": 19,
│ │ │ │ │          "642": 32,
│ │ │ │ │          "644": 32,
│ │ │ │ │          "645": 32,
│ │ │ │ │          "646": 32,
│ │ │ │ │          "647": 32,
│ │ │ │ │          "649": 32,
│ │ │ │ │ @@ -1875,44 +1873,43 @@
│ │ │ │ │          "662": 32,
│ │ │ │ │          "663": 32,
│ │ │ │ │          "664": 32,
│ │ │ │ │          "66441": 8,
│ │ │ │ │          "666": 32,
│ │ │ │ │          "666582": 19,
│ │ │ │ │          "667": 32,
│ │ │ │ │ -        "668": [17, 32],
│ │ │ │ │ +        "668": 32,
│ │ │ │ │          "670": 32,
│ │ │ │ │          "673": 32,
│ │ │ │ │          "674": 32,
│ │ │ │ │          "675": 32,
│ │ │ │ │          "676": 32,
│ │ │ │ │          "677": 32,
│ │ │ │ │          "678": 32,
│ │ │ │ │          "68": [2, 6, 8],
│ │ │ │ │          "680437": 6,
│ │ │ │ │          "68049261": 12,
│ │ │ │ │ -        "681": 32,
│ │ │ │ │ +        "681": [17, 32],
│ │ │ │ │          "6827": [2, 29],
│ │ │ │ │          "684": 32,
│ │ │ │ │          "6847e": 11,
│ │ │ │ │          "6848e": 11,
│ │ │ │ │          "685": 32,
│ │ │ │ │          "687": 32,
│ │ │ │ │          "6875": 6,
│ │ │ │ │          "688": 32,
│ │ │ │ │          "689": 32,
│ │ │ │ │          "69": 13,
│ │ │ │ │          "693": 32,
│ │ │ │ │          "694": 32,
│ │ │ │ │          "6952": 13,
│ │ │ │ │          "696": 32,
│ │ │ │ │ -        "698": 10,
│ │ │ │ │          "699": 32,
│ │ │ │ │          "69977034": 17,
│ │ │ │ │ -        "7": [1, 2, 4, 5, 6, 7, 9, 12, 13, 14, 17, 18, 22, 23, 25, 26, 27],
│ │ │ │ │ +        "7": [1, 2, 4, 5, 6, 7, 9, 12, 13, 14, 17, 18, 19, 22, 23, 25, 26, 27],
│ │ │ │ │          "70": 19,
│ │ │ │ │          "700": [5, 24, 32],
│ │ │ │ │          "70062332": 9,
│ │ │ │ │          "70099": 7,
│ │ │ │ │          "701": 32,
│ │ │ │ │          "702": 32,
│ │ │ │ │          "706": 32,
│ │ │ │ │ @@ -2040,15 +2037,15 @@
│ │ │ │ │          "865": 32,
│ │ │ │ │          "8653514": 6,
│ │ │ │ │          "866": 32,
│ │ │ │ │          "8662": 13,
│ │ │ │ │          "87": [6, 19, 25],
│ │ │ │ │          "871": 32,
│ │ │ │ │          "871969": 10,
│ │ │ │ │ -        "872": [1, 8, 32],
│ │ │ │ │ +        "872": [1, 32],
│ │ │ │ │          "873": 32,
│ │ │ │ │          "875": [6, 32],
│ │ │ │ │          "8758310": 19,
│ │ │ │ │          "87992": 19,
│ │ │ │ │          "883": 32,
│ │ │ │ │          "884": 32,
│ │ │ │ │          "888": 32,
│ │ │ │ │ @@ -2070,14 +2067,15 @@
│ │ │ │ │          "899": 32,
│ │ │ │ │          "9": [4, 6, 7, 8, 11, 12, 13, 16, 19, 20, 23, 25, 26, 27, 29],
│ │ │ │ │          "90": 6,
│ │ │ │ │          "900": 32,
│ │ │ │ │          "9000": 7,
│ │ │ │ │          "901": 32,
│ │ │ │ │          "902": 32,
│ │ │ │ │ +        "903": 5,
│ │ │ │ │          "9137": 7,
│ │ │ │ │          "91629786": 6,
│ │ │ │ │          "9180": 7,
│ │ │ │ │          "9181": 7,
│ │ │ │ │          "92": [10, 17],
│ │ │ │ │          "92065227": 5,
│ │ │ │ │          "92503564": 5,
│ │ │ │ │ @@ -2085,15 +2083,14 @@
│ │ │ │ │          "93162": 19,
│ │ │ │ │          "9320": 5,
│ │ │ │ │          "935": 6,
│ │ │ │ │          "9353671": 6,
│ │ │ │ │          "94": 6,
│ │ │ │ │          "940764": 19,
│ │ │ │ │          "9426e": 12,
│ │ │ │ │ -        "944": 19,
│ │ │ │ │          "948": 6,
│ │ │ │ │          "95": [2, 7, 8],
│ │ │ │ │          "952483": 6,
│ │ │ │ │          "9545": [2, 29],
│ │ │ │ │          "96": [6, 8, 19],
│ │ │ │ │          "96059": 8,
│ │ │ │ │          "963": 6,