--- /srv/reproducible-results/rbuild-debian/r-b-build.XbvKLiyz/b1/lmfit-py_1.2.2-4_amd64.changes
+++ /srv/reproducible-results/rbuild-debian/r-b-build.XbvKLiyz/b2/lmfit-py_1.2.2-4_amd64.changes
├── Files
│ @@ -1,3 +1,3 @@
│  
│ - 5da5777b8cec5471203cd51dbead9eb5 5454000 doc optional python-lmfit-doc_1.2.2-4_all.deb
│ + c5ea0795e863ba0d3fd67b7ed227f0b8 5453980 doc optional python-lmfit-doc_1.2.2-4_all.deb
│   928908d48f43b67d9e0726a8aaefb6a6 80240 python optional python3-lmfit_1.2.2-4_all.deb
├── python-lmfit-doc_1.2.2-4_all.deb
│ ├── file list
│ │ @@ -1,3 +1,3 @@
│ │  -rw-r--r--   0        0        0        4 2025-01-08 11:03:40.000000 debian-binary
│ │ --rw-r--r--   0        0        0     8080 2025-01-08 11:03:40.000000 control.tar.xz
│ │ --rw-r--r--   0        0        0  5445728 2025-01-08 11:03:40.000000 data.tar.xz
│ │ +-rw-r--r--   0        0        0     8072 2025-01-08 11:03:40.000000 control.tar.xz
│ │ +-rw-r--r--   0        0        0  5445716 2025-01-08 11:03:40.000000 data.tar.xz
│ ├── control.tar.xz
│ │ ├── control.tar
│ │ │ ├── ./md5sums
│ │ │ │ ├── ./md5sums
│ │ │ │ │┄ Files differ
│ ├── data.tar.xz
│ │ ├── data.tar
│ │ │ ├── file list
│ │ │ │ @@ -276,15 +276,15 @@
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    25280 2025-01-08 11:03:40.000000 ./usr/share/doc/python3-lmfit/html/index.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    24391 2025-01-08 11:03:40.000000 ./usr/share/doc/python3-lmfit/html/installation.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    16721 2025-01-08 11:03:40.000000 ./usr/share/doc/python3-lmfit/html/intro.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)   199909 2025-01-08 11:03:40.000000 ./usr/share/doc/python3-lmfit/html/model.html
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│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    62962 2025-01-08 11:03:40.000000 ./usr/share/doc/python3-lmfit/html/parameters.html
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│ │ │ │  -rw-r--r--   0 root         (0) root         (0)     8574 2025-01-08 11:03:40.000000 ./usr/share/doc/python3-lmfit/html/support.html
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)    62049 2025-01-08 11:03:40.000000 ./usr/share/doc/python3-lmfit/html/whatsnew.html
│ │ │ │  drwxr-xr-x   0 root         (0) root         (0)        0 2025-01-08 11:03:40.000000 ./usr/share/doc-base/
│ │ │ │  -rw-r--r--   0 root         (0) root         (0)      305 2024-12-23 23:31:41.000000 ./usr/share/doc-base/python-lmfit-doc.python-lmfit-doc
│ │ │ │  lrwxrwxrwx   0 root         (0) root         (0)        0 2025-01-08 11:03:40.000000 ./usr/share/doc/python3-lmfit/html/_static/doctools.js -> ../../../../javascript/sphinxdoc/1.0/doctools.js
│ │ │ │  lrwxrwxrwx   0 root         (0) root         (0)        0 2025-01-08 11:03:40.000000 ./usr/share/doc/python3-lmfit/html/_static/language_data.js -> ../../../../javascript/sphinxdoc/1.0/language_data.js
│ │ │ │  lrwxrwxrwx   0 root         (0) root         (0)        0 2025-01-08 11:03:40.000000 ./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
│ │ │ │ @@ -261,15 +261,15 @@
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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
│ │ │ │ @@ -195,15 +195,15 @@
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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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│ │ │ │ -   **Total running time of the script:** (0 minutes 0.209 seconds)
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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 0.288 seconds)</p>
│ │ │ │ +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.592 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 0.288 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.592 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
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _z_i_p_p_e_d_:_ _e_x_a_m_p_l_e___M_o_d_e_l___i_n_t_e_r_f_a_c_e_._z_i_p
│ │ │ │ │  _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 |
│ │ │ ├── ./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 15.344 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> (0 minutes 24.313 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 15.344 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 24.313 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
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _z_i_p_p_e_d_:_ _e_x_a_m_p_l_e___b_r_u_t_e_._z_i_p
│ │ │ │ │  _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 |
│ │ │ ├── ./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 0.527 seconds)</p>
│ │ │ │ +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.751 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 0.527 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.751 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
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _z_i_p_p_e_d_:_ _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_._z_i_p
│ │ │ │ │  _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 |
│ │ │ ├── ./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 12.220 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 15.871 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 12.220 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 15.871 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
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _z_i_p_p_e_d_:_ _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_._z_i_p
│ │ │ │ │  _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 |
│ │ │ ├── ./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 0.819 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 1.302 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 0.819 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 1.302 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
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _z_i_p_p_e_d_:_ _e_x_a_m_p_l_e___d_e_t_e_c_t___o_u_t_l_i_e_r_s_._z_i_p
│ │ │ │ │  _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 |
│ │ │ ├── ./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 0.293 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 0.527 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:     1.80253519 (init = 2.5)
│ │ │ │ │      decay:   5.76281245 (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 0.293 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.527 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
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _z_i_p_p_e_d_:_ _e_x_a_m_p_l_e___d_i_f_f_e_v_._z_i_p
│ │ │ │ │  _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 |
│ │ │ ├── ./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 0.188 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 0.287 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 0.188 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.287 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
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _z_i_p_p_e_d_:_ _e_x_a_m_p_l_e___e_x_p_r_e_s_s_i_o_n___m_o_d_e_l_._z_i_p
│ │ │ │ │  _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 |
│ │ │ ├── ./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 0.203 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 0.336 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 0.203 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.336 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
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _z_i_p_p_e_d_:_ _e_x_a_m_p_l_e___f_i_t___m_u_l_t_i___d_a_t_a_s_e_t_s_._z_i_p
│ │ │ │ │  _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 |
│ │ │ ├── ./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 0.202 seconds)</p>
│ │ │ │ +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.366 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 0.202 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.366 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
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _z_i_p_p_e_d_:_ _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_._z_i_p
│ │ │ │ │  _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 |
│ │ │ ├── ./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 0.200 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 0.290 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 0.200 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.290 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
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _z_i_p_p_e_d_:_ _e_x_a_m_p_l_e___f_i_t___w_i_t_h___b_o_u_n_d_s_._z_i_p
│ │ │ │ │  _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 |
│ │ │ ├── ./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 0.183 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 0.313 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 0.183 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.313 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
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _z_i_p_p_e_d_:_ _e_x_a_m_p_l_e___f_i_t___w_i_t_h___d_e_r_i_v_f_u_n_c_._z_i_p
│ │ │ │ │  _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 |
│ │ │ ├── ./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 0.189 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 0.292 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 0.189 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.292 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
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _z_i_p_p_e_d_:_ _e_x_a_m_p_l_e___f_i_t___w_i_t_h___i_n_e_q_u_a_l_i_t_y_._z_i_p
│ │ │ │ │  _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 |
│ │ │ ├── ./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 0.224 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 0.449 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 0.224 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.449 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
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _z_i_p_p_e_d_:_ _e_x_a_m_p_l_e___r_e_d_u_c_e___f_c_n_._z_i_p
│ │ │ │ │  _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 |
│ │ │ ├── ./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 0.764 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 2.009 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 0.764 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 2.009 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
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _z_i_p_p_e_d_:_ _e_x_a_m_p_l_e___s_y_m_p_y_._z_i_p
│ │ │ │ │  _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 |
│ │ │ ├── ./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 1.994 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 2.976 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 1.994 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 2.976 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
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _z_i_p_p_e_d_:_ _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_._z_i_p
│ │ │ │ │  _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 |
│ │ │ ├── ./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 0.209 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 0.336 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 0.209 seconds)
│ │ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.336 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
│ │ │ │ │  _D_o_w_n_l_o_a_d_ _z_i_p_p_e_d_:_ _e_x_a_m_p_l_e___u_s_e___p_a_n_d_a_s_._z_i_p
│ │ │ │ │  _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 |
│ │ │ ├── ./usr/share/doc/python3-lmfit/html/searchindex.js
│ │ │ │ ├── js-beautify {}
│ │ │ │ │ @@ -1290,14 +1290,15 @@
│ │ │ │ │          "00512077": 11,
│ │ │ │ │          "00546": 8,
│ │ │ │ │          "00548": 8,
│ │ │ │ │          "00590174": 9,
│ │ │ │ │          "006e": 7,
│ │ │ │ │          "00818": 8,
│ │ │ │ │          "00822": 8,
│ │ │ │ │ +        "009": 18,
│ │ │ │ │          "00964": 8,
│ │ │ │ │          "00965": 8,
│ │ │ │ │          "00978382": 6,
│ │ │ │ │          "00996363": 14,
│ │ │ │ │          "01": [5, 6, 11, 12, 13, 14, 19],
│ │ │ │ │          "010": [8, 14],
│ │ │ │ │          "01002": 8,
│ │ │ │ │ @@ -1423,15 +1424,15 @@
│ │ │ │ │          "11287": 19,
│ │ │ │ │          "11301": 14,
│ │ │ │ │          "115": 6,
│ │ │ │ │          "11643510": 12,
│ │ │ │ │          "11741198": 19,
│ │ │ │ │          "11813": 23,
│ │ │ │ │          "119": 6,
│ │ │ │ │ -        "12": [1, 4, 8, 13, 15, 17, 25],
│ │ │ │ │ +        "12": [1, 4, 13, 15, 17, 25],
│ │ │ │ │          "120": 13,
│ │ │ │ │          "1208": 6,
│ │ │ │ │          "12156": 8,
│ │ │ │ │          "12156317": 8,
│ │ │ │ │          "1223": 19,
│ │ │ │ │          "123": [7, 8],
│ │ │ │ │          "12345": 14,
│ │ │ │ │ @@ -1489,56 +1490,50 @@
│ │ │ │ │          "1739": 13,
│ │ │ │ │          "175": 1,
│ │ │ │ │          "1774": 19,
│ │ │ │ │          "17809725": 6,
│ │ │ │ │          "18": [5, 6, 10, 31],
│ │ │ │ │          "180": 19,
│ │ │ │ │          "1825": 13,
│ │ │ │ │ -        "183": 15,
│ │ │ │ │          "1834": 13,
│ │ │ │ │          "1841": 11,
│ │ │ │ │          "1851": 11,
│ │ │ │ │          "18749997": 6,
│ │ │ │ │          "1875": 6,
│ │ │ │ │          "18756": 14,
│ │ │ │ │          "1877635": 13,
│ │ │ │ │ -        "188": 11,
│ │ │ │ │ -        "189": 16,
│ │ │ │ │          "19": [1, 12, 13, 14, 26],
│ │ │ │ │          "192": [6, 20],
│ │ │ │ │          "1936": 16,
│ │ │ │ │          "19401928": 10,
│ │ │ │ │          "19580": 11,
│ │ │ │ │          "1967107": 13,
│ │ │ │ │          "199": 6,
│ │ │ │ │          "1d": [2, 12, 31],
│ │ │ │ │          "1e": [13, 19, 20, 24],
│ │ │ │ │          "1j": 7,
│ │ │ │ │          "2": [0, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29],
│ │ │ │ │          "20": [1, 7, 8, 12, 13, 14, 16, 19, 20, 24, 31],
│ │ │ │ │ -        "200": [1, 2, 5, 7, 12, 14, 20, 22, 29],
│ │ │ │ │ +        "200": [1, 2, 5, 7, 12, 20, 22, 29],
│ │ │ │ │          "2000": 24,
│ │ │ │ │          "200000": 24,
│ │ │ │ │          "2001": 26,
│ │ │ │ │          "2002": 26,
│ │ │ │ │          "2003": 26,
│ │ │ │ │          "2006": [26, 28],
│ │ │ │ │          "201": 11,
│ │ │ │ │          "2014": [2, 24],
│ │ │ │ │          "2019": 26,
│ │ │ │ │ -        "202": 13,
│ │ │ │ │          "2021": [4, 5, 8, 11, 12, 15, 19, 25],
│ │ │ │ │          "2022": [4, 25, 26],
│ │ │ │ │          "2023": [4, 25],
│ │ │ │ │ -        "203": 12,
│ │ │ │ │          "20417043e": 6,
│ │ │ │ │          "20618": 19,
│ │ │ │ │          "207": 6,
│ │ │ │ │          "208": 6,
│ │ │ │ │ -        "209": 20,
│ │ │ │ │          "20925819": 13,
│ │ │ │ │          "20al": 24,
│ │ │ │ │          "20amp": 24,
│ │ │ │ │          "20constrain": 24,
│ │ │ │ │          "20et": 24,
│ │ │ │ │          "20for": 24,
│ │ │ │ │          "20global": 24,
│ │ │ │ │ @@ -1546,18 +1541,17 @@
│ │ │ │ │          "20opt": 24,
│ │ │ │ │          "20pub": 24,
│ │ │ │ │          "20w": 24,
│ │ │ │ │          "21": [1, 6, 7, 10, 13, 16, 19, 20, 31],
│ │ │ │ │          "21434954": 16,
│ │ │ │ │          "216": 6,
│ │ │ │ │          "22": [13, 23, 31],
│ │ │ │ │ -        "220": 8,
│ │ │ │ │          "223": 1,
│ │ │ │ │          "22379948": 20,
│ │ │ │ │ -        "224": [6, 17],
│ │ │ │ │ +        "224": 6,
│ │ │ │ │          "22470288": 10,
│ │ │ │ │          "225": 6,
│ │ │ │ │          "23": [1, 12, 13, 31],
│ │ │ │ │          "2314": 19,
│ │ │ │ │          "234": 6,
│ │ │ │ │          "23882899": 13,
│ │ │ │ │          "23910555": 12,
│ │ │ │ │ @@ -1589,68 +1583,72 @@
│ │ │ │ │          "2722842": 16,
│ │ │ │ │          "2761": 16,
│ │ │ │ │          "27s_t": 1,
│ │ │ │ │          "28": [5, 26],
│ │ │ │ │          "28002384": 5,
│ │ │ │ │          "28378389": 19,
│ │ │ │ │          "28588": 11,
│ │ │ │ │ -        "288": 5,
│ │ │ │ │ +        "287": 11,
│ │ │ │ │          "2887": 13,
│ │ │ │ │          "28904676": 19,
│ │ │ │ │          "29": 16,
│ │ │ │ │ +        "290": 14,
│ │ │ │ │          "2913": 13,
│ │ │ │ │          "2919": 12,
│ │ │ │ │ -        "293": 10,
│ │ │ │ │ +        "292": 16,
│ │ │ │ │          "294636": 7,
│ │ │ │ │          "295": 1,
│ │ │ │ │          "2951": 16,
│ │ │ │ │          "2968": 12,
│ │ │ │ │          "2_": [2, 24],
│ │ │ │ │          "2_0": 2,
│ │ │ │ │          "2_f": 2,
│ │ │ │ │          "2j": 7,
│ │ │ │ │          "2jq": 7,
│ │ │ │ │          "3": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 16, 17, 18, 19, 20, 22, 24, 25, 26, 28, 29],
│ │ │ │ │          "30": [8, 9, 13, 19],
│ │ │ │ │          "300": [1, 15, 22, 31],
│ │ │ │ │          "301": 6,
│ │ │ │ │ +        "302": 9,
│ │ │ │ │          "3037": 14,
│ │ │ │ │          "3046": 19,
│ │ │ │ │          "3055": 13,
│ │ │ │ │          "3058": 14,
│ │ │ │ │          "30899694": 6,
│ │ │ │ │          "310": 22,
│ │ │ │ │          "31007537": 20,
│ │ │ │ │          "3117": 7,
│ │ │ │ │          "31249964": 6,
│ │ │ │ │ +        "313": [6, 15],
│ │ │ │ │          "3146": 7,
│ │ │ │ │          "3183099": [13, 20],
│ │ │ │ │          "32": [12, 17],
│ │ │ │ │          "3200": 28,
│ │ │ │ │          "32192128": 13,
│ │ │ │ │          "32742010": 12,
│ │ │ │ │          "32980958": 8,
│ │ │ │ │          "32981": 8,
│ │ │ │ │          "33": [8, 12, 17],
│ │ │ │ │          "33162347": 17,
│ │ │ │ │          "3342": 19,
│ │ │ │ │ -        "344": 6,
│ │ │ │ │ +        "336": [12, 20],
│ │ │ │ │          "34443083": 12,
│ │ │ │ │          "3445": 16,
│ │ │ │ │          "34458": 9,
│ │ │ │ │          "34544468": 17,
│ │ │ │ │          "35": 8,
│ │ │ │ │          "3539e": 7,
│ │ │ │ │          "35409534": 19,
│ │ │ │ │          "3548": 1,
│ │ │ │ │          "3548200": [13, 19],
│ │ │ │ │          "3585": 15,
│ │ │ │ │          "36": 12,
│ │ │ │ │          "3646": 14,
│ │ │ │ │          "36481425": 13,
│ │ │ │ │ +        "366": 13,
│ │ │ │ │          "37": [12, 14, 19],
│ │ │ │ │          "3742": 12,
│ │ │ │ │          "375000": 6,
│ │ │ │ │          "3796": 16,
│ │ │ │ │          "38": 19,
│ │ │ │ │          "3823": 19,
│ │ │ │ │          "3868": 13,
│ │ │ │ │ @@ -1673,14 +1671,15 @@
│ │ │ │ │          "42": 5,
│ │ │ │ │          "4321": 14,
│ │ │ │ │          "436564": 17,
│ │ │ │ │          "43989663": 6,
│ │ │ │ │          "44": 6,
│ │ │ │ │          "44026387": 14,
│ │ │ │ │          "44044": 14,
│ │ │ │ │ +        "449": 17,
│ │ │ │ │          "45": 8,
│ │ │ │ │          "450": 10,
│ │ │ │ │          "4572e": 6,
│ │ │ │ │          "46": [5, 7],
│ │ │ │ │          "46229147": 9,
│ │ │ │ │          "46504173": 16,
│ │ │ │ │          "47": 13,
│ │ │ │ │ @@ -1728,15 +1727,15 @@
│ │ │ │ │          "52": [10, 11, 13],
│ │ │ │ │          "521": 31,
│ │ │ │ │          "52163544": 16,
│ │ │ │ │          "523": 31,
│ │ │ │ │          "52359878": 6,
│ │ │ │ │          "524": 31,
│ │ │ │ │          "526": 31,
│ │ │ │ │ -        "527": [7, 31],
│ │ │ │ │ +        "527": [10, 31],
│ │ │ │ │          "528": 31,
│ │ │ │ │          "5281": 23,
│ │ │ │ │          "529": 31,
│ │ │ │ │          "533": 31,
│ │ │ │ │          "5336e": 7,
│ │ │ │ │          "534": 31,
│ │ │ │ │          "535": 31,
│ │ │ │ │ @@ -1794,14 +1793,15 @@
│ │ │ │ │          "586": 31,
│ │ │ │ │          "587": 31,
│ │ │ │ │          "588": 31,
│ │ │ │ │          "5883": 13,
│ │ │ │ │          "589": 31,
│ │ │ │ │          "59": 20,
│ │ │ │ │          "591": 31,
│ │ │ │ │ +        "592": 5,
│ │ │ │ │          "593": 31,
│ │ │ │ │          "594": 1,
│ │ │ │ │          "595": 31,
│ │ │ │ │          "596": 31,
│ │ │ │ │          "597": 31,
│ │ │ │ │          "598": 31,
│ │ │ │ │          "599": 31,
│ │ │ │ │ @@ -1942,30 +1942,29 @@
│ │ │ │ │          "746": 1,
│ │ │ │ │          "747": 31,
│ │ │ │ │          "748": 31,
│ │ │ │ │          "749": 31,
│ │ │ │ │          "7496": 13,
│ │ │ │ │          "74999948": 6,
│ │ │ │ │          "75": [1, 5, 6],
│ │ │ │ │ -        "751": 31,
│ │ │ │ │ +        "751": [7, 31],
│ │ │ │ │          "753": 31,
│ │ │ │ │          "7533": 5,
│ │ │ │ │          "754": 31,
│ │ │ │ │          "7542": 5,
│ │ │ │ │          "755": 31,
│ │ │ │ │          "7550": 10,
│ │ │ │ │          "756": 31,
│ │ │ │ │          "757": 31,
│ │ │ │ │          "758": 31,
│ │ │ │ │          "759": 31,
│ │ │ │ │          "76": [6, 10, 14],
│ │ │ │ │          "761": 31,
│ │ │ │ │          "76279753": 10,
│ │ │ │ │          "76281245": 10,
│ │ │ │ │ -        "764": 18,
│ │ │ │ │          "768": 31,
│ │ │ │ │          "769692": 7,
│ │ │ │ │          "77": 6,
│ │ │ │ │          "770": 31,
│ │ │ │ │          "771": 31,
│ │ │ │ │          "77327309": 17,
│ │ │ │ │          "777": 31,
│ │ │ │ │ @@ -1997,15 +1996,14 @@
│ │ │ │ │          "804": 31,
│ │ │ │ │          "810": 31,
│ │ │ │ │          "81249979": 6,
│ │ │ │ │          "8125": 6,
│ │ │ │ │          "813": 31,
│ │ │ │ │          "815": 31,
│ │ │ │ │          "816": 31,
│ │ │ │ │ -        "819": 9,
│ │ │ │ │          "82": 6,
│ │ │ │ │          "820": 31,
│ │ │ │ │          "821": 31,
│ │ │ │ │          "8241": 15,
│ │ │ │ │          "826": 31,
│ │ │ │ │          "830": 31,
│ │ │ │ │          "832": 31,
│ │ │ │ │ @@ -2034,15 +2032,15 @@
│ │ │ │ │          "860": 31,
│ │ │ │ │          "864": 31,
│ │ │ │ │          "865": 31,
│ │ │ │ │          "8653514": 6,
│ │ │ │ │          "866": 31,
│ │ │ │ │          "8662": 13,
│ │ │ │ │          "87": [6, 19, 24],
│ │ │ │ │ -        "871": 31,
│ │ │ │ │ +        "871": [8, 31],
│ │ │ │ │          "871969": 10,
│ │ │ │ │          "872": [1, 31],
│ │ │ │ │          "873": 31,
│ │ │ │ │          "875": [6, 31],
│ │ │ │ │          "8758310": 19,
│ │ │ │ │          "87992": 19,
│ │ │ │ │          "883": 31,
│ │ │ │ │ @@ -2093,29 +2091,29 @@
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│ │ │ │ │          "96333089": 10,
│ │ │ │ │          "96333168": 10,
│ │ │ │ │          "97": [6, 8, 13, 17, 19],
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│ │ │ │ │          "97313428": 17,
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│ │ │ │ │ +        "976": [6, 19],
│ │ │ │ │          "9760818": 17,
│ │ │ │ │          "97663118": 5,
│ │ │ │ │          "98": 6,
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│ │ │ │ │          "98351484": 20,
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│ │ │ │ │          "98998378": 13,
│ │ │ │ │          "99": [2, 6, 7, 8, 19],
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│ │ │ │ │          "991": 6,
│ │ │ │ │ -        "994": [6, 19],
│ │ │ │ │ +        "994": 6,
│ │ │ │ │          "99611629": 6,
│ │ │ │ │          "99705425": 19,
│ │ │ │ │          "9973": [2, 28],
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│ │ │ │ │          "99999987": 6,