--- /srv/rebuilderd/tmp/rebuilderdGJuXcV/inputs/python-lmfit-doc_1.3.3-4_all.deb
+++ /srv/rebuilderd/tmp/rebuilderdGJuXcV/out/python-lmfit-doc_1.3.3-4_all.deb
├── file list
│ @@ -1,3 +1,3 @@
│  -rw-r--r--   0        0        0        4 2025-06-07 22:50:00.000000 debian-binary
│ --rw-r--r--   0        0        0     9040 2025-06-07 22:50:00.000000 control.tar.xz
│ --rw-r--r--   0        0        0  6370856 2025-06-07 22:50:00.000000 data.tar.xz
│ +-rw-r--r--   0        0        0     9044 2025-06-07 22:50:00.000000 control.tar.xz
│ +-rw-r--r--   0        0        0  6370844 2025-06-07 22:50:00.000000 data.tar.xz
├── control.tar.xz
│ ├── control.tar
│ │ ├── ./md5sums
│ │ │ ├── ./md5sums
│ │ │ │┄ Files differ
├── data.tar.xz
│ ├── data.tar
│ │ ├── file list
│ │ │ @@ -320,15 +320,15 @@
│ │ │  -rw-r--r--   0 root         (0) root         (0)    25955 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/index.html
│ │ │  -rw-r--r--   0 root         (0) root         (0)    24473 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/installation.html
│ │ │  -rw-r--r--   0 root         (0) root         (0)    16721 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/intro.html
│ │ │  -rw-r--r--   0 root         (0) root         (0)   206627 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/model.html
│ │ │  -rw-r--r--   0 root         (0) root         (0)     4110 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/objects.inv
│ │ │  -rw-r--r--   0 root         (0) root         (0)    63161 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/parameters.html
│ │ │  -rw-r--r--   0 root         (0) root         (0)     6060 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/search.html
│ │ │ --rw-r--r--   0 root         (0) root         (0)   126235 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/searchindex.js
│ │ │ +-rw-r--r--   0 root         (0) root         (0)   126234 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/searchindex.js
│ │ │  -rw-r--r--   0 root         (0) root         (0)     8794 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/support.html
│ │ │  -rw-r--r--   0 root         (0) root         (0)    71045 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/whatsnew.html
│ │ │  drwxr-xr-x   0 root         (0) root         (0)        0 2025-06-07 22:50:00.000000 ./usr/share/doc-base/
│ │ │  -rw-r--r--   0 root         (0) root         (0)      305 2025-06-07 22:50:00.000000 ./usr/share/doc-base/python-lmfit-doc.python-lmfit-doc
│ │ │  lrwxrwxrwx   0 root         (0) root         (0)        0 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/_static/doctools.js -> ../../../../javascript/sphinxdoc/1.0/doctools.js
│ │ │  lrwxrwxrwx   0 root         (0) root         (0)        0 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/_static/language_data.js -> ../../../../javascript/sphinxdoc/1.0/language_data.js
│ │ │  lrwxrwxrwx   0 root         (0) root         (0)        0 2025-06-07 22:50:00.000000 ./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
│ │ │ @@ -496,15 +496,15 @@
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  .. rst-class:: sphx-glr-timing
│ │ │  
│ │ │ -   **Total running time of the script:** (0 minutes 0.330 seconds)
│ │ │ +   **Total running time of the script:** (0 minutes 0.701 seconds)
│ │ │  
│ │ │  
│ │ │  .. _sphx_glr_download_examples_example_Model_interface.py:
│ │ │  
│ │ │  .. only:: html
│ │ │  
│ │ │    .. container:: sphx-glr-footer sphx-glr-footer-example
│ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_basinhopping.rst.txt
│ │ │ @@ -146,15 +146,15 @@
│ │ │      plt.plot(x, result.best_fit, '-', label=method2)
│ │ │      plt.legend()
│ │ │      plt.show()
│ │ │  
│ │ │  
│ │ │  .. rst-class:: sphx-glr-timing
│ │ │  
│ │ │ -   **Total running time of the script:** (0 minutes 2.488 seconds)
│ │ │ +   **Total running time of the script:** (0 minutes 2.844 seconds)
│ │ │  
│ │ │  
│ │ │  .. _sphx_glr_download_examples_example_basinhopping.py:
│ │ │  
│ │ │  .. only:: html
│ │ │  
│ │ │    .. container:: sphx-glr-footer sphx-glr-footer-example
│ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_brute.rst.txt
│ │ │ @@ -970,15 +970,15 @@
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  .. rst-class:: sphx-glr-timing
│ │ │  
│ │ │ -   **Total running time of the script:** (0 minutes 15.838 seconds)
│ │ │ +   **Total running time of the script:** (0 minutes 14.428 seconds)
│ │ │  
│ │ │  
│ │ │  .. _sphx_glr_download_examples_example_brute.py:
│ │ │  
│ │ │  .. only:: html
│ │ │  
│ │ │    .. container:: sphx-glr-footer sphx-glr-footer-example
│ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_complex_resonator_model.rst.txt
│ │ │ @@ -291,15 +291,15 @@
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  .. rst-class:: sphx-glr-timing
│ │ │  
│ │ │ -   **Total running time of the script:** (0 minutes 0.596 seconds)
│ │ │ +   **Total running time of the script:** (0 minutes 0.760 seconds)
│ │ │  
│ │ │  
│ │ │  .. _sphx_glr_download_examples_example_complex_resonator_model.py:
│ │ │  
│ │ │  .. only:: html
│ │ │  
│ │ │    .. container:: sphx-glr-footer sphx-glr-footer-example
│ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_confidence_interval.rst.txt
│ │ │ @@ -275,15 +275,15 @@
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  .. rst-class:: sphx-glr-timing
│ │ │  
│ │ │ -   **Total running time of the script:** (0 minutes 10.841 seconds)
│ │ │ +   **Total running time of the script:** (0 minutes 12.777 seconds)
│ │ │  
│ │ │  
│ │ │  .. _sphx_glr_download_examples_example_confidence_interval.py:
│ │ │  
│ │ │  .. only:: html
│ │ │  
│ │ │    .. container:: sphx-glr-footer sphx-glr-footer-example
│ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_detect_outliers.rst.txt
│ │ │ @@ -261,15 +261,15 @@
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  .. rst-class:: sphx-glr-timing
│ │ │  
│ │ │ -   **Total running time of the script:** (0 minutes 0.852 seconds)
│ │ │ +   **Total running time of the script:** (0 minutes 1.609 seconds)
│ │ │  
│ │ │  
│ │ │  .. _sphx_glr_download_examples_example_detect_outliers.py:
│ │ │  
│ │ │  .. only:: html
│ │ │  
│ │ │    .. container:: sphx-glr-footer sphx-glr-footer-example
│ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_diffev.rst.txt
│ │ │ @@ -184,15 +184,15 @@
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  .. rst-class:: sphx-glr-timing
│ │ │  
│ │ │ -   **Total running time of the script:** (0 minutes 0.356 seconds)
│ │ │ +   **Total running time of the script:** (0 minutes 0.435 seconds)
│ │ │  
│ │ │  
│ │ │  .. _sphx_glr_download_examples_example_diffev.py:
│ │ │  
│ │ │  .. only:: html
│ │ │  
│ │ │    .. container:: sphx-glr-footer sphx-glr-footer-example
│ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_expression_model.rst.txt
│ │ │ @@ -139,15 +139,15 @@
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  .. rst-class:: sphx-glr-timing
│ │ │  
│ │ │ -   **Total running time of the script:** (0 minutes 0.207 seconds)
│ │ │ +   **Total running time of the script:** (0 minutes 0.216 seconds)
│ │ │  
│ │ │  
│ │ │  .. _sphx_glr_download_examples_example_expression_model.py:
│ │ │  
│ │ │  .. only:: html
│ │ │  
│ │ │    .. container:: sphx-glr-footer sphx-glr-footer-example
│ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_jacobian_benchmark.rst.txt
│ │ │ @@ -239,25 +239,25 @@
│ │ │   .. code-block:: none
│ │ │  
│ │ │      The "true" parameters are: a = 2.500, b = 1.300, c = 0.800
│ │ │  
│ │ │      | Method                  | Avg. time (ms) | # func. (+ Jac.) calls | Chi-squared | a     | b     | c     |
│ │ │      |-------------------------|----------------|------------------------|-------------|-------|-------|-------|
│ │ │      | leastsq                 | 1.37           | 39                     | 1.092       | 2.564 | 1.359 | 0.824 |
│ │ │ -    | leastsq with Jac.       | 1.14           | 12 (+10)               | 1.092       | 2.564 | 1.359 | 0.824 |
│ │ │ -    | least_squares           | 3.17           | 38                     | 1.092       | 2.564 | 1.359 | 0.824 |
│ │ │ -    | least_squares with Jac. | 2.09           | 11 (+9)                | 1.092       | 2.564 | 1.359 | 0.824 |
│ │ │ +    | leastsq with Jac.       | 1.44           | 12 (+10)               | 1.092       | 2.564 | 1.359 | 0.824 |
│ │ │ +    | least_squares           | 4.27           | 38                     | 1.092       | 2.564 | 1.359 | 0.824 |
│ │ │ +    | least_squares with Jac. | 2.66           | 11 (+9)                | 1.092       | 2.564 | 1.359 | 0.824 |
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  .. rst-class:: sphx-glr-timing
│ │ │  
│ │ │ -   **Total running time of the script:** (0 minutes 1.024 seconds)
│ │ │ +   **Total running time of the script:** (0 minutes 1.281 seconds)
│ │ │  
│ │ │  
│ │ │  .. _sphx_glr_download_examples_example_fit_jacobian_benchmark.py:
│ │ │  
│ │ │  .. only:: html
│ │ │  
│ │ │    .. container:: sphx-glr-footer sphx-glr-footer-example
│ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_multi_datasets.rst.txt
│ │ │ @@ -205,15 +205,15 @@
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  .. rst-class:: sphx-glr-timing
│ │ │  
│ │ │ -   **Total running time of the script:** (0 minutes 0.222 seconds)
│ │ │ +   **Total running time of the script:** (0 minutes 0.225 seconds)
│ │ │  
│ │ │  
│ │ │  .. _sphx_glr_download_examples_example_fit_multi_datasets.py:
│ │ │  
│ │ │  .. only:: html
│ │ │  
│ │ │    .. container:: sphx-glr-footer sphx-glr-footer-example
│ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_multi_datasets_Model-interface.rst.txt
│ │ │ @@ -230,15 +230,15 @@
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  .. rst-class:: sphx-glr-timing
│ │ │  
│ │ │ -   **Total running time of the script:** (0 minutes 0.272 seconds)
│ │ │ +   **Total running time of the script:** (0 minutes 0.276 seconds)
│ │ │  
│ │ │  
│ │ │  .. _sphx_glr_download_examples_example_fit_multi_datasets_Model-interface.py:
│ │ │  
│ │ │  .. only:: html
│ │ │  
│ │ │    .. container:: sphx-glr-footer sphx-glr-footer-example
│ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_with_algebraic_constraint.rst.txt
│ │ │ @@ -121,15 +121,15 @@
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  .. rst-class:: sphx-glr-timing
│ │ │  
│ │ │ -   **Total running time of the script:** (0 minutes 0.229 seconds)
│ │ │ +   **Total running time of the script:** (0 minutes 0.287 seconds)
│ │ │  
│ │ │  
│ │ │  .. _sphx_glr_download_examples_example_fit_with_algebraic_constraint.py:
│ │ │  
│ │ │  .. only:: html
│ │ │  
│ │ │    .. container:: sphx-glr-footer sphx-glr-footer-example
│ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_with_bounds.rst.txt
│ │ │ @@ -178,15 +178,15 @@
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  .. rst-class:: sphx-glr-timing
│ │ │  
│ │ │ -   **Total running time of the script:** (0 minutes 0.223 seconds)
│ │ │ +   **Total running time of the script:** (0 minutes 0.288 seconds)
│ │ │  
│ │ │  
│ │ │  .. _sphx_glr_download_examples_example_fit_with_bounds.py:
│ │ │  
│ │ │  .. only:: html
│ │ │  
│ │ │    .. container:: sphx-glr-footer sphx-glr-footer-example
│ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_with_derivfunc.rst.txt
│ │ │ @@ -175,15 +175,15 @@
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  .. rst-class:: sphx-glr-timing
│ │ │  
│ │ │ -   **Total running time of the script:** (0 minutes 0.210 seconds)
│ │ │ +   **Total running time of the script:** (0 minutes 0.219 seconds)
│ │ │  
│ │ │  
│ │ │  .. _sphx_glr_download_examples_example_fit_with_derivfunc.py:
│ │ │  
│ │ │  .. only:: html
│ │ │  
│ │ │    .. container:: sphx-glr-footer sphx-glr-footer-example
│ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_with_inequality.rst.txt
│ │ │ @@ -163,15 +163,15 @@
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  .. rst-class:: sphx-glr-timing
│ │ │  
│ │ │ -   **Total running time of the script:** (0 minutes 0.209 seconds)
│ │ │ +   **Total running time of the script:** (0 minutes 0.219 seconds)
│ │ │  
│ │ │  
│ │ │  .. _sphx_glr_download_examples_example_fit_with_inequality.py:
│ │ │  
│ │ │  .. only:: html
│ │ │  
│ │ │    .. container:: sphx-glr-footer sphx-glr-footer-example
│ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_reduce_fcn.rst.txt
│ │ │ @@ -199,15 +199,15 @@
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  .. rst-class:: sphx-glr-timing
│ │ │  
│ │ │ -   **Total running time of the script:** (0 minutes 0.262 seconds)
│ │ │ +   **Total running time of the script:** (0 minutes 0.292 seconds)
│ │ │  
│ │ │  
│ │ │  .. _sphx_glr_download_examples_example_reduce_fcn.py:
│ │ │  
│ │ │  .. only:: html
│ │ │  
│ │ │    .. container:: sphx-glr-footer sphx-glr-footer-example
│ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_sympy.rst.txt
│ │ │ @@ -189,15 +189,15 @@
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  .. rst-class:: sphx-glr-timing
│ │ │  
│ │ │ -   **Total running time of the script:** (0 minutes 0.884 seconds)
│ │ │ +   **Total running time of the script:** (0 minutes 1.019 seconds)
│ │ │  
│ │ │  
│ │ │  .. _sphx_glr_download_examples_example_sympy.py:
│ │ │  
│ │ │  .. only:: html
│ │ │  
│ │ │    .. container:: sphx-glr-footer sphx-glr-footer-example
│ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_two_dimensional_peak.rst.txt
│ │ │ @@ -368,15 +368,15 @@
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  .. rst-class:: sphx-glr-timing
│ │ │  
│ │ │ -   **Total running time of the script:** (0 minutes 2.557 seconds)
│ │ │ +   **Total running time of the script:** (0 minutes 2.888 seconds)
│ │ │  
│ │ │  
│ │ │  .. _sphx_glr_download_examples_example_two_dimensional_peak.py:
│ │ │  
│ │ │  .. only:: html
│ │ │  
│ │ │    .. container:: sphx-glr-footer sphx-glr-footer-example
│ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_uncertainties_y_and_x.rst.txt
│ │ │ @@ -198,15 +198,15 @@
│ │ │      plt.show()
│ │ │  
│ │ │      # # <end examples/doc_uncertainties_in_x_and_y.py>
│ │ │  
│ │ │  
│ │ │  .. rst-class:: sphx-glr-timing
│ │ │  
│ │ │ -   **Total running time of the script:** (0 minutes 0.215 seconds)
│ │ │ +   **Total running time of the script:** (0 minutes 0.301 seconds)
│ │ │  
│ │ │  
│ │ │  .. _sphx_glr_download_examples_example_uncertainties_y_and_x.py:
│ │ │  
│ │ │  .. only:: html
│ │ │  
│ │ │    .. container:: sphx-glr-footer sphx-glr-footer-example
│ │ ├── ./usr/share/doc/python3-lmfit/html/_sources/examples/example_use_pandas.rst.txt
│ │ │ @@ -123,15 +123,15 @@
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  
│ │ │  .. rst-class:: sphx-glr-timing
│ │ │  
│ │ │ -   **Total running time of the script:** (0 minutes 0.233 seconds)
│ │ │ +   **Total running time of the script:** (0 minutes 0.247 seconds)
│ │ │  
│ │ │  
│ │ │  .. _sphx_glr_download_examples_example_use_pandas.py:
│ │ │  
│ │ │  .. only:: html
│ │ │  
│ │ │    .. container:: sphx-glr-footer sphx-glr-footer-example
│ │ ├── ./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 0.330 seconds)</p>
│ │ │ +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.701 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 0.330 seconds)
│ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.701 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_basinhopping.html
│ │ │ @@ -235,15 +235,15 @@
│ │ │  <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">ydat</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">result0</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;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">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="n">method2</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>
│ │ │ -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 2.488 seconds)</p>
│ │ │ +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 2.844 seconds)</p>
│ │ │  <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-example-basinhopping-py">
│ │ │  <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
│ │ │  <p><a class="reference download internal" download="" href="../_downloads/ae6f08d1acd42b44f92003d3b671ff34/example_basinhopping.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_basinhopping.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/165816e6cae13bf96b2272527b6d1d2b/example_basinhopping.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_basinhopping.py</span></code></a></p>
│ │ │  </div>
│ │ │ ├── html2text {}
│ │ │ │ @@ -124,15 +124,15 @@
│ │ │ │  
│ │ │ │  # plot comparison
│ │ │ │  plt.plot(x, ydat, 'o', label='data')
│ │ │ │  plt.plot(x, result0.best_fit, '+', label='leastsq')
│ │ │ │  plt.plot(x, result.best_fit, '-', label=method2)
│ │ │ │  plt.legend()
│ │ │ │  plt.show()
│ │ │ │ -TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 2.488 seconds)
│ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 2.844 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_a_s_i_n_h_o_p_p_i_n_g_._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_a_s_i_n_h_o_p_p_i_n_g_._p_y
│ │ │ │  _D_o_w_n_l_o_a_d_ _z_i_p_p_e_d_:_ _e_x_a_m_p_l_e___b_a_s_i_n_h_o_p_p_i_n_g_._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 15.838 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 14.428 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 15.838 seconds)
│ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 14.428 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 0.596 seconds)</p>
│ │ │ +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.760 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 0.596 seconds)
│ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.760 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 10.841 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 12.777 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 10.841 seconds)
│ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 12.777 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 0.852 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 1.609 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 0.852 seconds)
│ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 1.609 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___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 0.356 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 0.435 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:     1.80253515 (init = 2.5)
│ │ │ │      decay:   5.76281275 (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 0.356 seconds)
│ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.435 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 0.207 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 0.216 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 {}
│ │ │ │ @@ -65,15 +65,15 @@
│ │ │ │  [[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 0.207 seconds)
│ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.216 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_jacobian_benchmark.html
│ │ │ @@ -306,20 +306,20 @@
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <img src="../_images/sphx_glr_example_fit_jacobian_benchmark_001.png" srcset="../_images/sphx_glr_example_fit_jacobian_benchmark_001.png, ../_images/sphx_glr_example_fit_jacobian_benchmark_001_3_00x.png 3.00x" alt="example fit jacobian benchmark" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>The &quot;true&quot; parameters are: a = 2.500, b = 1.300, c = 0.800
│ │ │  
│ │ │  | Method                  | Avg. time (ms) | # func. (+ Jac.) calls | Chi-squared | a     | b     | c     |
│ │ │  |-------------------------|----------------|------------------------|-------------|-------|-------|-------|
│ │ │  | leastsq                 | 1.37           | 39                     | 1.092       | 2.564 | 1.359 | 0.824 |
│ │ │ -| leastsq with Jac.       | 1.14           | 12 (+10)               | 1.092       | 2.564 | 1.359 | 0.824 |
│ │ │ -| least_squares           | 3.17           | 38                     | 1.092       | 2.564 | 1.359 | 0.824 |
│ │ │ -| least_squares with Jac. | 2.09           | 11 (+9)                | 1.092       | 2.564 | 1.359 | 0.824 |
│ │ │ +| leastsq with Jac.       | 1.44           | 12 (+10)               | 1.092       | 2.564 | 1.359 | 0.824 |
│ │ │ +| least_squares           | 4.27           | 38                     | 1.092       | 2.564 | 1.359 | 0.824 |
│ │ │ +| least_squares with Jac. | 2.66           | 11 (+9)                | 1.092       | 2.564 | 1.359 | 0.824 |
│ │ │  </pre></div>
│ │ │  </div>
│ │ │ -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.024 seconds)</p>
│ │ │ +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.281 seconds)</p>
│ │ │  <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-example-fit-jacobian-benchmark-py">
│ │ │  <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
│ │ │  <p><a class="reference download internal" download="" href="../_downloads/9db45352ed3b7a40b0471b4137f67079/example_fit_jacobian_benchmark.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_jacobian_benchmark.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/42b143772ac94b1e24f82c78c37f8727/example_fit_jacobian_benchmark.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_jacobian_benchmark.py</span></code></a></p>
│ │ │  </div>
│ │ │ ├── html2text {}
│ │ │ │ @@ -199,21 +199,21 @@
│ │ │ │  
│ │ │ │  | Method                  | Avg. time (ms) | # func. (+ Jac.) calls | Chi-
│ │ │ │  squared | a     | b     | c     |
│ │ │ │  |-------------------------|----------------|------------------------|----------
│ │ │ │  ---|-------|-------|-------|
│ │ │ │  | leastsq                 | 1.37           | 39                     | 1.092
│ │ │ │  | 2.564 | 1.359 | 0.824 |
│ │ │ │ -| leastsq with Jac.       | 1.14           | 12 (+10)               | 1.092
│ │ │ │ +| leastsq with Jac.       | 1.44           | 12 (+10)               | 1.092
│ │ │ │  | 2.564 | 1.359 | 0.824 |
│ │ │ │ -| least_squares           | 3.17           | 38                     | 1.092
│ │ │ │ +| least_squares           | 4.27           | 38                     | 1.092
│ │ │ │  | 2.564 | 1.359 | 0.824 |
│ │ │ │ -| least_squares with Jac. | 2.09           | 11 (+9)                | 1.092
│ │ │ │ +| least_squares with Jac. | 2.66           | 11 (+9)                | 1.092
│ │ │ │  | 2.564 | 1.359 | 0.824 |
│ │ │ │ -TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 1.024 seconds)
│ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 1.281 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___j_a_c_o_b_i_a_n___b_e_n_c_h_m_a_r_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___f_i_t___j_a_c_o_b_i_a_n___b_e_n_c_h_m_a_r_k_._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___j_a_c_o_b_i_a_n___b_e_n_c_h_m_a_r_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_fit_multi_datasets.html
│ │ │ @@ -229,15 +229,15 @@
│ │ │  <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 0.222 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 0.225 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 {}
│ │ │ │ @@ -110,15 +110,15 @@
│ │ │ │      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 0.222 seconds)
│ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.225 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_multi_datasets_Model-interface.html
│ │ │ @@ -240,15 +240,15 @@
│ │ │  <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">y</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">data</span><span class="p">):</span>
│ │ │      <span class="n">components</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">eval_components</span><span class="p">(</span><span class="n">params</span><span class="o">=</span><span class="n">out</span><span class="o">.</span><span class="n">params</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">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">x</span><span class="p">,</span> <span class="n">components</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;n</span><span class="si">{</span><span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="si">}</span><span class="s1">_&#39;</span><span class="p">],</span> <span class="s1">&#39;-&#39;</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_multi_datasets_Model-interface_001.png" srcset="../_images/sphx_glr_example_fit_multi_datasets_Model-interface_001.png, ../_images/sphx_glr_example_fit_multi_datasets_Model-interface_001_3_00x.png 3.00x" alt="example fit multi datasets Model interface" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.272 seconds)</p>
│ │ │ +<img src="../_images/sphx_glr_example_fit_multi_datasets_Model-interface_001.png" srcset="../_images/sphx_glr_example_fit_multi_datasets_Model-interface_001.png, ../_images/sphx_glr_example_fit_multi_datasets_Model-interface_001_3_00x.png 3.00x" alt="example fit multi datasets Model interface" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.276 seconds)</p>
│ │ │  <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-example-fit-multi-datasets-model-interface-py">
│ │ │  <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
│ │ │  <p><a class="reference download internal" download="" href="../_downloads/6bd1774e2b7de7f7c5a9bb78e91a173a/example_fit_multi_datasets_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_fit_multi_datasets_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/9cc433d73a3c54edbac87a2639bd6858/example_fit_multi_datasets_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_fit_multi_datasets_Model-interface.py</span></code></a></p>
│ │ │  </div>
│ │ │ ├── html2text {}
│ │ │ │ @@ -123,15 +123,15 @@
│ │ │ │  plt.figure()
│ │ │ │  for i, y in enumerate(data):
│ │ │ │      components = model.eval_components(params=out.params, x=x)
│ │ │ │      plt.plot(x, y, 'o', x, components[f'n{i+1}_'], '-')
│ │ │ │  
│ │ │ │  plt.show()
│ │ │ │  [example fit multi datasets Model interface]
│ │ │ │ -TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.272 seconds)
│ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.276 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___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___f_i_t___m_u_l_t_i___d_a_t_a_s_e_t_s___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___f_i_t___m_u_l_t_i___d_a_t_a_s_e_t_s___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_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 0.229 seconds)</p>
│ │ │ +<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-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 0.229 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___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 0.223 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 0.288 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 0.223 seconds)
│ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.288 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 0.210 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 0.219 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 0.210 seconds)
│ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.219 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 0.209 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 0.219 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 0.209 seconds)
│ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.219 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 0.262 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 0.292 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 0.262 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___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
│ │ │ @@ -196,15 +196,15 @@
│ │ │  <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>
│ │ │  <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_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 0.884 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 1.019 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 {}
│ │ │ │ @@ -80,15 +80,15 @@
│ │ │ │  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()
│ │ │ │  plt.show()
│ │ │ │  [Model(_lambdifygenerated)]
│ │ │ │ -TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.884 seconds)
│ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 1.019 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 2.557 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 2.888 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 2.557 seconds)
│ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 2.888 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_uncertainties_y_and_x.html
│ │ │ @@ -288,15 +288,15 @@
│ │ │  <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">xdat</span><span class="p">,</span> <span class="n">bestfit2</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;fit, with x error&#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>
│ │ │  
│ │ │  <span class="c1"># # &lt;end examples/doc_uncertainties_in_x_and_y.py&gt;</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │ -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.215 seconds)</p>
│ │ │ +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.301 seconds)</p>
│ │ │  <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-example-uncertainties-y-and-x-py">
│ │ │  <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
│ │ │  <p><a class="reference download internal" download="" href="../_downloads/2588677a1a505d9f24402b03894d5bfd/example_uncertainties_y_and_x.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_uncertainties_y_and_x.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/dba681f3439dfa9f72e79de3389e77d7/example_uncertainties_y_and_x.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_uncertainties_y_and_x.py</span></code></a></p>
│ │ │  </div>
│ │ │ ├── html2text {}
│ │ │ │ @@ -177,15 +177,15 @@
│ │ │ │  plt.plot(xtrue, ytrue, '-+', label='true data')
│ │ │ │  plt.plot(xdat, bestfit1, label='fit, no x error')
│ │ │ │  plt.plot(xdat, bestfit2, label='fit, with x error')
│ │ │ │  plt.legend()
│ │ │ │  plt.show()
│ │ │ │  
│ │ │ │  # # <end examples/doc_uncertainties_in_x_and_y.py>
│ │ │ │ -TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.215 seconds)
│ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.301 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_n_c_e_r_t_a_i_n_t_i_e_s___y___a_n_d___x_._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_n_c_e_r_t_a_i_n_t_i_e_s___y___a_n_d___x_._p_y
│ │ │ │  _D_o_w_n_l_o_a_d_ _z_i_p_p_e_d_:_ _e_x_a_m_p_l_e___u_n_c_e_r_t_a_i_n_t_i_e_s___y___a_n_d___x_._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 0.233 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 0.247 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:     10.7899571 +/- 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 0.233 seconds)
│ │ │ │ +TToottaall rruunnnniinngg ttiimmee ooff tthhee ssccrriipptt:: (0 minutes 0.247 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 {}
│ │ │ │ @@ -1355,14 +1355,15 @@
│ │ │ │          "01575090": 15,
│ │ │ │          "01585971": 15,
│ │ │ │          "01592142": 15,
│ │ │ │          "01617042": 22,
│ │ │ │          "01631785": 15,
│ │ │ │          "01680902": 22,
│ │ │ │          "01835867": 24,
│ │ │ │ +        "019": 21,
│ │ │ │          "01907800": 22,
│ │ │ │          "01951689": 12,
│ │ │ │          "01980939": 23,
│ │ │ │          "02": [4, 7, 8, 9, 17, 28, 29],
│ │ │ │          "020": [9, 33],
│ │ │ │          "02005940": 20,
│ │ │ │          "02079709": 11,
│ │ │ │ @@ -1371,15 +1372,14 @@
│ │ │ │          "02273421": 14,
│ │ │ │          "02279089": 14,
│ │ │ │          "02296733": 14,
│ │ │ │          "02300415": 14,
│ │ │ │          "02341707": 16,
│ │ │ │          "02368872": 14,
│ │ │ │          "02386032": 23,
│ │ │ │ -        "024": 13,
│ │ │ │          "02414210": 17,
│ │ │ │          "02430386": 15,
│ │ │ │          "02440907": 15,
│ │ │ │          "02448063": 16,
│ │ │ │          "02457770": 15,
│ │ │ │          "02467331": 15,
│ │ │ │          "025": 7,
│ │ │ │ @@ -1444,15 +1444,14 @@
│ │ │ │          "08260274": 14,
│ │ │ │          "08261146": 15,
│ │ │ │          "0834e": 15,
│ │ │ │          "08533642": 8,
│ │ │ │          "0870": 17,
│ │ │ │          "08937623": 10,
│ │ │ │          "08992736": 16,
│ │ │ │ -        "09": 13,
│ │ │ │          "0913": 5,
│ │ │ │          "09130423": 5,
│ │ │ │          "09130428": 5,
│ │ │ │          "09162987": 7,
│ │ │ │          "09181809": 5,
│ │ │ │          "092": 13,
│ │ │ │          "0920": 18,
│ │ │ │ @@ -1491,15 +1490,15 @@
│ │ │ │          "11270194": 5,
│ │ │ │          "11287": 22,
│ │ │ │          "11301": 17,
│ │ │ │          "115": 7,
│ │ │ │          "11643510": 14,
│ │ │ │          "11741198": 22,
│ │ │ │          "119": 7,
│ │ │ │ -        "12": [1, 4, 6, 13, 16, 18, 20, 29],
│ │ │ │ +        "12": [1, 4, 6, 9, 13, 16, 18, 20, 29],
│ │ │ │          "120": 16,
│ │ │ │          "1208": 7,
│ │ │ │          "12156": 9,
│ │ │ │          "12156317": 9,
│ │ │ │          "1223": 22,
│ │ │ │          "123": [8, 9],
│ │ │ │          "12345": 17,
│ │ │ │ @@ -1526,15 +1525,15 @@
│ │ │ │          "134": 7,
│ │ │ │          "13481789": 5,
│ │ │ │          "13488230": 5,
│ │ │ │          "135": 1,
│ │ │ │          "1359": 23,
│ │ │ │          "136": 11,
│ │ │ │          "1381": 23,
│ │ │ │ -        "14": [4, 6, 9, 13, 15, 16, 17, 28, 29],
│ │ │ │ +        "14": [4, 6, 7, 9, 13, 15, 16, 17, 28, 29],
│ │ │ │          "1415926": 3,
│ │ │ │          "1418": 6,
│ │ │ │          "142": 8,
│ │ │ │          "1436": 1,
│ │ │ │          "146": [11, 23],
│ │ │ │          "14669316": 5,
│ │ │ │          "14669319": 5,
│ │ │ │ @@ -1556,15 +1555,15 @@
│ │ │ │          "16": [1, 6, 7, 9, 15, 22, 35],
│ │ │ │          "1630": 23,
│ │ │ │          "1647": 9,
│ │ │ │          "1651": 19,
│ │ │ │          "1655": 23,
│ │ │ │          "1670": 9,
│ │ │ │          "1674767": 20,
│ │ │ │ -        "17": [5, 12, 13, 23, 35],
│ │ │ │ +        "17": [5, 12, 23, 35],
│ │ │ │          "1715": 23,
│ │ │ │          "17160652": 24,
│ │ │ │          "1720": 11,
│ │ │ │          "1731192": 23,
│ │ │ │          "1739": 16,
│ │ │ │          "175": 1,
│ │ │ │          "1762e": 23,
│ │ │ │ @@ -1612,60 +1611,55 @@
│ │ │ │          "2022": [4, 29, 30],
│ │ │ │          "2023": [4, 29],
│ │ │ │          "2024": [4, 29],
│ │ │ │          "2025": [4, 29],
│ │ │ │          "2037": 23,
│ │ │ │          "20417043e": 7,
│ │ │ │          "20618": 22,
│ │ │ │ -        "207": [7, 12],
│ │ │ │ +        "207": 7,
│ │ │ │          "208": 7,
│ │ │ │ -        "209": 19,
│ │ │ │          "20925819": 16,
│ │ │ │          "20al": 28,
│ │ │ │          "20amp": 28,
│ │ │ │          "20constrain": 28,
│ │ │ │          "20et": 28,
│ │ │ │          "20for": 28,
│ │ │ │          "20global": 28,
│ │ │ │          "20lasdon": 28,
│ │ │ │          "20opt": 28,
│ │ │ │          "20pub": 28,
│ │ │ │          "20w": 28,
│ │ │ │          "21": [1, 7, 8, 11, 16, 19, 22, 24, 35],
│ │ │ │ -        "210": 18,
│ │ │ │          "2115": 23,
│ │ │ │          "21434954": 19,
│ │ │ │ -        "215": 23,
│ │ │ │ -        "216": 7,
│ │ │ │ +        "216": [7, 12],
│ │ │ │ +        "219": [18, 19],
│ │ │ │          "22": [13, 15, 23, 27, 35],
│ │ │ │ -        "222": 14,
│ │ │ │ -        "223": [1, 17, 23],
│ │ │ │ +        "223": [1, 23],
│ │ │ │          "22379948": 24,
│ │ │ │          "224": 7,
│ │ │ │          "22470288": 11,
│ │ │ │ -        "225": 7,
│ │ │ │ +        "225": [7, 14],
│ │ │ │          "2276419600353": 8,
│ │ │ │          "228513": 23,
│ │ │ │ -        "229": 16,
│ │ │ │          "23": [1, 14, 15, 16, 35],
│ │ │ │          "2314": 22,
│ │ │ │ -        "233": 24,
│ │ │ │          "234": 7,
│ │ │ │          "23882905": 16,
│ │ │ │          "23910555": 14,
│ │ │ │          "24": [7, 15, 19, 22, 30],
│ │ │ │          "24078": 6,
│ │ │ │          "242": 7,
│ │ │ │          "24259071": 5,
│ │ │ │          "24334895": 5,
│ │ │ │          "24410753": 17,
│ │ │ │          "2460": 23,
│ │ │ │          "24638": 9,
│ │ │ │          "2464": 22,
│ │ │ │ -        "247": 8,
│ │ │ │ +        "247": [8, 24],
│ │ │ │          "2474265369565": 8,
│ │ │ │          "24998843": 7,
│ │ │ │          "24999772": 7,
│ │ │ │          "24999999": 7,
│ │ │ │          "25": [1, 6, 7, 9, 14, 15, 22, 23, 24, 32],
│ │ │ │          "250": [9, 17, 20, 26],
│ │ │ │          "2500": 9,
│ │ │ │ @@ -1674,36 +1668,39 @@
│ │ │ │          "2542": 15,
│ │ │ │          "256760": 23,
│ │ │ │          "25743367": 15,
│ │ │ │          "2575": 14,
│ │ │ │          "25755570": 14,
│ │ │ │          "26": [7, 14, 15, 16, 17, 22],
│ │ │ │          "26179939": 7,
│ │ │ │ -        "262": 20,
│ │ │ │          "263": 10,
│ │ │ │          "26503": 16,
│ │ │ │          "26606": 22,
│ │ │ │          "2664": 14,
│ │ │ │          "268": 10,
│ │ │ │          "2696": 15,
│ │ │ │ -        "27": [4, 9, 19, 22, 29],
│ │ │ │ -        "272": 15,
│ │ │ │ +        "27": [4, 9, 13, 19, 22, 29],
│ │ │ │          "2722842": 19,
│ │ │ │          "2735": 23,
│ │ │ │ +        "276": 15,
│ │ │ │          "2761": 19,
│ │ │ │          "2776438": 23,
│ │ │ │          "27s_t": 1,
│ │ │ │          "28": [5, 23],
│ │ │ │          "28002384": 5,
│ │ │ │ +        "281": 13,
│ │ │ │          "28588": 12,
│ │ │ │ +        "287": 16,
│ │ │ │ +        "288": 17,
│ │ │ │          "2887": 16,
│ │ │ │          "28904676": 22,
│ │ │ │          "29": 19,
│ │ │ │          "2913": 16,
│ │ │ │          "2919": 14,
│ │ │ │ +        "292": 20,
│ │ │ │          "2922": 15,
│ │ │ │          "294636": 8,
│ │ │ │          "295": 1,
│ │ │ │          "2951": 19,
│ │ │ │          "2968": 14,
│ │ │ │          "29j": 8,
│ │ │ │          "2_": [2, 28],
│ │ │ │ @@ -1711,15 +1708,15 @@
│ │ │ │          "2_f": 2,
│ │ │ │          "2f": 13,
│ │ │ │          "2j": 8,
│ │ │ │          "2jq": 8,
│ │ │ │          "3": [2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 26, 28, 29, 30, 32, 33],
│ │ │ │          "30": [9, 10, 16, 22],
│ │ │ │          "300": [1, 13, 18, 26, 35],
│ │ │ │ -        "301": 7,
│ │ │ │ +        "301": [7, 23],
│ │ │ │          "30195609": 15,
│ │ │ │          "3037": 17,
│ │ │ │          "3040": 15,
│ │ │ │          "3046": 22,
│ │ │ │          "3055": 16,
│ │ │ │          "3058": 17,
│ │ │ │          "30899694": 7,
│ │ │ │ @@ -1738,30 +1735,28 @@
│ │ │ │          "32192128": 16,
│ │ │ │          "32715193": 23,
│ │ │ │          "32742010": 14,
│ │ │ │          "329": 6,
│ │ │ │          "32980958": 9,
│ │ │ │          "32981": 9,
│ │ │ │          "33": [9, 14, 20],
│ │ │ │ -        "330": 5,
│ │ │ │          "33162347": 20,
│ │ │ │          "3342": 22,
│ │ │ │          "34": 23,
│ │ │ │          "344": 23,
│ │ │ │          "34402084": 15,
│ │ │ │          "34443083": 14,
│ │ │ │          "3445": 19,
│ │ │ │          "34458": 10,
│ │ │ │          "34544476": 20,
│ │ │ │          "35": 9,
│ │ │ │          "3539e": 8,
│ │ │ │          "35409534": 22,
│ │ │ │          "3548": 1,
│ │ │ │          "3548200": [15, 16, 22],
│ │ │ │ -        "356": 11,
│ │ │ │          "3585": 18,
│ │ │ │          "359": 13,
│ │ │ │          "36": 14,
│ │ │ │          "3646": 17,
│ │ │ │          "36481425": 16,
│ │ │ │          "3688": 15,
│ │ │ │          "37": [6, 13, 14, 17, 22],
│ │ │ │ @@ -1787,19 +1782,21 @@
│ │ │ │          "4115": 16,
│ │ │ │          "41261441": 16,
│ │ │ │          "4131e": 15,
│ │ │ │          "416": 28,
│ │ │ │          "41851637": 16,
│ │ │ │          "4195833": 22,
│ │ │ │          "42": 5,
│ │ │ │ +        "428": 7,
│ │ │ │          "43": 23,
│ │ │ │          "4321": 17,
│ │ │ │ +        "435": 11,
│ │ │ │          "436540": 20,
│ │ │ │          "43989663": 7,
│ │ │ │ -        "44": 7,
│ │ │ │ +        "44": [7, 13],
│ │ │ │          "44026387": 17,
│ │ │ │          "44044": 17,
│ │ │ │          "4411365": 6,
│ │ │ │          "4411385": 6,
│ │ │ │          "44210577": 23,
│ │ │ │          "44581423": 23,
│ │ │ │          "45": [9, 23],
│ │ │ │ @@ -1810,15 +1807,14 @@
│ │ │ │          "46229147": 10,
│ │ │ │          "46504173": 19,
│ │ │ │          "47": 16,
│ │ │ │          "478231": 22,
│ │ │ │          "48": [6, 23],
│ │ │ │          "48130689": 22,
│ │ │ │          "486": 35,
│ │ │ │ -        "488": 6,
│ │ │ │          "489": 35,
│ │ │ │          "491": 35,
│ │ │ │          "492": 35,
│ │ │ │          "493": 35,
│ │ │ │          "49516158": 22,
│ │ │ │          "496": 35,
│ │ │ │          "496119": 24,
│ │ │ │ @@ -1888,15 +1884,14 @@
│ │ │ │          "55": [10, 16],
│ │ │ │          "550": 35,
│ │ │ │          "552": 35,
│ │ │ │          "553": 35,
│ │ │ │          "554": 35,
│ │ │ │          "55438813": 17,
│ │ │ │          "556": 35,
│ │ │ │ -        "557": 22,
│ │ │ │          "558": 35,
│ │ │ │          "559": 35,
│ │ │ │          "560": 35,
│ │ │ │          "560626": 20,
│ │ │ │          "561": 35,
│ │ │ │          "5624928": 7,
│ │ │ │          "5625": 7,
│ │ │ │ @@ -1933,15 +1928,15 @@
│ │ │ │          "5883": 16,
│ │ │ │          "589": 35,
│ │ │ │          "59": 24,
│ │ │ │          "591": 35,
│ │ │ │          "593": 35,
│ │ │ │          "594": 1,
│ │ │ │          "595": 35,
│ │ │ │ -        "596": [8, 35],
│ │ │ │ +        "596": 35,
│ │ │ │          "597": 35,
│ │ │ │          "598": 35,
│ │ │ │          "598352": 27,
│ │ │ │          "599": 35,
│ │ │ │          "6": [4, 5, 6, 7, 10, 13, 14, 15, 16, 19, 22, 23, 26, 27, 28, 29],
│ │ │ │          "60": [10, 14, 15, 26],
│ │ │ │          "600": 35,
│ │ │ │ @@ -1949,14 +1944,15 @@
│ │ │ │          "6008": 10,
│ │ │ │          "601": [16, 19],
│ │ │ │          "6013": 1,
│ │ │ │          "604": 35,
│ │ │ │          "60620995": 15,
│ │ │ │          "607": 35,
│ │ │ │          "608": 35,
│ │ │ │ +        "609": 10,
│ │ │ │          "61": 5,
│ │ │ │          "610": 35,
│ │ │ │          "611": 35,
│ │ │ │          "61125903": 16,
│ │ │ │          "6115": 16,
│ │ │ │          "612": 35,
│ │ │ │          "612196": 10,
│ │ │ │ @@ -2001,14 +1997,15 @@
│ │ │ │          "65449847": 7,
│ │ │ │          "655": 35,
│ │ │ │          "6565773": 10,
│ │ │ │          "65660": 16,
│ │ │ │          "657": 35,
│ │ │ │          "658": 35,
│ │ │ │          "65902169": 20,
│ │ │ │ +        "66": 13,
│ │ │ │          "6605e": 14,
│ │ │ │          "662": 35,
│ │ │ │          "663": 35,
│ │ │ │          "664": 35,
│ │ │ │          "66441": 9,
│ │ │ │          "666": 35,
│ │ │ │          "666582": 22,
│ │ │ │ @@ -2043,15 +2040,15 @@
│ │ │ │          "699": 35,
│ │ │ │          "69976994": 20,
│ │ │ │          "7": [1, 2, 4, 5, 7, 8, 10, 14, 15, 16, 17, 20, 21, 26, 28, 29, 30],
│ │ │ │          "70": 22,
│ │ │ │          "700": [5, 27, 35],
│ │ │ │          "70062332": 10,
│ │ │ │          "70099": 8,
│ │ │ │ -        "701": 35,
│ │ │ │ +        "701": [5, 35],
│ │ │ │          "702": 35,
│ │ │ │          "7056": 23,
│ │ │ │          "706": 35,
│ │ │ │          "707": 35,
│ │ │ │          "7087": 24,
│ │ │ │          "710": 35,
│ │ │ │          "711": 35,
│ │ │ │ @@ -2098,25 +2095,26 @@
│ │ │ │          "755": 35,
│ │ │ │          "7550": 11,
│ │ │ │          "756": 35,
│ │ │ │          "757": 35,
│ │ │ │          "758": 35,
│ │ │ │          "759": 35,
│ │ │ │          "76": [7, 11, 17],
│ │ │ │ +        "760": 8,
│ │ │ │          "7603": 23,
│ │ │ │          "761": 35,
│ │ │ │          "76279753": 11,
│ │ │ │          "76281275": 11,
│ │ │ │          "768": 35,
│ │ │ │          "769692": 8,
│ │ │ │          "77": 7,
│ │ │ │          "770": 35,
│ │ │ │          "771": 35,
│ │ │ │          "77328007": 20,
│ │ │ │ -        "777": 35,
│ │ │ │ +        "777": [9, 35],
│ │ │ │          "777681": 8,
│ │ │ │          "78": 14,
│ │ │ │          "780924": 7,
│ │ │ │          "7825": 24,
│ │ │ │          "78539816": 7,
│ │ │ │          "7855": 7,
│ │ │ │          "787": 35,
│ │ │ │ @@ -2157,28 +2155,27 @@
│ │ │ │          "830": 35,
│ │ │ │          "8319533": 15,
│ │ │ │          "832": 35,
│ │ │ │          "83231265": 20,
│ │ │ │          "8332836": 22,
│ │ │ │          "837": 35,
│ │ │ │          "83703275": 16,
│ │ │ │ -        "838": 7,
│ │ │ │          "839": 35,
│ │ │ │          "84": [16, 28],
│ │ │ │          "840": 35,
│ │ │ │ -        "841": [9, 35],
│ │ │ │ +        "841": 35,
│ │ │ │          "842": 35,
│ │ │ │ -        "844": 35,
│ │ │ │ +        "844": [6, 35],
│ │ │ │          "844705": 23,
│ │ │ │          "845": 35,
│ │ │ │          "84758536": 16,
│ │ │ │          "848": 35,
│ │ │ │          "85": [7, 22],
│ │ │ │          "850": 35,
│ │ │ │ -        "852": [10, 35],
│ │ │ │ +        "852": 35,
│ │ │ │          "853": 35,
│ │ │ │          "855": 35,
│ │ │ │          "856": 35,
│ │ │ │          "8570e": 12,
│ │ │ │          "859": 35,
│ │ │ │          "85940121": 22,
│ │ │ │          "86": 7,
│ │ │ │ @@ -2194,16 +2191,16 @@
│ │ │ │          "872": [1, 35],
│ │ │ │          "873": 35,
│ │ │ │          "875": [7, 35],
│ │ │ │          "87508800": 22,
│ │ │ │          "8758308": 22,
│ │ │ │          "87992": 22,
│ │ │ │          "883": 35,
│ │ │ │ -        "884": [21, 35],
│ │ │ │ -        "888": 35,
│ │ │ │ +        "884": 35,
│ │ │ │ +        "888": [22, 35],
│ │ │ │          "888888": 32,
│ │ │ │          "8904759": 17,
│ │ │ │          "892": 35,
│ │ │ │          "8923637137222027": 7,
│ │ │ │          "89285089": 5,
│ │ │ │          "893": 35,
│ │ │ │          "894": 35,