{"diffoscope-json-version": 1, "source1": "/srv/reproducible-results/rbuild-debian/r-b-build.xg6QmiW0/b1/lmfit-py_1.3.3-4_amd64.changes", "source2": "/srv/reproducible-results/rbuild-debian/r-b-build.xg6QmiW0/b2/lmfit-py_1.3.3-4_amd64.changes", "unified_diff": null, "details": [{"source1": "Files", "source2": "Files", "unified_diff": "@@ -1,3 +1,3 @@\n \n- fd4f3a9918d7b0bf1332238bb8ec40da 6380076 doc optional python-lmfit-doc_1.3.3-4_all.deb\n+ 46cd687a503fe0830a477be1a62f7ca2 6380124 doc optional python-lmfit-doc_1.3.3-4_all.deb\n  f3c4cd06062807d357fc8515e640b144 82584 python optional python3-lmfit_1.3.3-4_all.deb\n"}, {"source1": "python-lmfit-doc_1.3.3-4_all.deb", "source2": "python-lmfit-doc_1.3.3-4_all.deb", "unified_diff": null, "details": [{"source1": "file list", "source2": "file list", "unified_diff": "@@ -1,3 +1,3 @@\n -rw-r--r--   0        0        0        4 2025-06-07 22:50:00.000000 debian-binary\n--rw-r--r--   0        0        0     9044 2025-06-07 22:50:00.000000 control.tar.xz\n--rw-r--r--   0        0        0  6370840 2025-06-07 22:50:00.000000 data.tar.xz\n+-rw-r--r--   0        0        0     9048 2025-06-07 22:50:00.000000 control.tar.xz\n+-rw-r--r--   0        0        0  6370884 2025-06-07 22:50:00.000000 data.tar.xz\n"}, {"source1": "control.tar.xz", "source2": "control.tar.xz", "unified_diff": null, "details": [{"source1": "control.tar", "source2": "control.tar", "unified_diff": null, "details": [{"source1": "./md5sums", "source2": "./md5sums", "unified_diff": null, "details": [{"source1": "./md5sums", "source2": "./md5sums", "comments": ["Files differ"], "unified_diff": null}]}]}]}, {"source1": "data.tar.xz", "source2": "data.tar.xz", "unified_diff": null, "details": [{"source1": "data.tar", "source2": "data.tar", "unified_diff": null, "details": [{"source1": "file list", "source2": "file list", "unified_diff": "@@ -230,15 +230,15 @@\n -rw-r--r--   0 root         (0) root         (0)     3499 2024-11-05 16:46:49.000000 ./usr/share/doc/python3-lmfit/html/_sources/bounds.rst.txt\n -rw-r--r--   0 root         (0) root         (0)    30647 2024-11-05 16:46:49.000000 ./usr/share/doc/python3-lmfit/html/_sources/builtin_models.rst.txt\n -rw-r--r--   0 root         (0) root         (0)    16305 2024-11-05 16:46:49.000000 ./usr/share/doc/python3-lmfit/html/_sources/confidence.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     8110 2024-11-05 16:46:49.000000 ./usr/share/doc/python3-lmfit/html/_sources/constraints.rst.txt\n -rw-r--r--   0 root         (0) root         (0)      223 2024-11-05 16:46:49.000000 ./usr/share/doc/python3-lmfit/html/_sources/contents.rst.txt\n drwxr-xr-x   0 root         (0) root         (0)        0 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/\n -rw-r--r--   0 root         (0) root         (0)    12475 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_Model_interface.rst.txt\n--rw-r--r--   0 root     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./usr/share/doc/python3-lmfit/html/_sources/examples/example_detect_outliers.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     5253 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_diffev.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     3967 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_expression_model.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     7523 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_jacobian_benchmark.rst.txt\n@@ -246,15 +246,15 @@\n -rw-r--r--   0 root         (0) root         (0)     7766 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_multi_datasets_Model-interface.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     5682 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_with_algebraic_constraint.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     5348 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_with_bounds.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     5284 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_with_derivfunc.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     5123 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_with_inequality.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     6030 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_reduce_fcn.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     5307 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_sympy.rst.txt\n--rw-r--r--   0 root         (0) root         (0)    11705 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_two_dimensional_peak.rst.txt\n+-rw-r--r--   0 root         (0) root         (0)    11706 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_two_dimensional_peak.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     7280 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_uncertainties_y_and_x.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     3583 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_use_pandas.rst.txt\n -rw-r--r--   0 root         (0) root         (0)    12553 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/index.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     9643 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/lmfit_emcee_model_selection.rst.txt\n -rw-r--r--   0 root         (0) root         (0)    12369 2025-03-10 18:54:44.000000 ./usr/share/doc/python3-lmfit/html/_sources/faq.rst.txt\n -rw-r--r--   0 root         (0) root         (0)    40606 2024-11-05 16:46:49.000000 ./usr/share/doc/python3-lmfit/html/_sources/fitting.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     2918 2024-11-05 16:46:49.000000 ./usr/share/doc/python3-lmfit/html/_sources/index.rst.txt\n@@ -289,15 +289,15 @@\n -rw-r--r--   0 root         (0) root         (0)    11846 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/bounds.html\n -rw-r--r--   0 root         (0) root         (0)   181208 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/builtin_models.html\n -rw-r--r--   0 root         (0) root         (0)    40516 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/confidence.html\n -rw-r--r--   0 root         (0) root         (0)    20353 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/constraints.html\n -rw-r--r--   0 root         (0) root         (0)    36361 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/contents.html\n drwxr-xr-x   0 root         (0) root         (0)        0 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/\n -rw-r--r--   0 root         (0) root         (0)    35307 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/example_Model_interface.html\n--rw-r--r--   0 root         (0) root         (0)    22362 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/example_basinhopping.html\n+-rw-r--r--   0 root         (0) root         (0)    22363 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/example_basinhopping.html\n -rw-r--r--   0 root         (0) root         (0)    86274 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/example_brute.html\n -rw-r--r--   0 root         (0) root         (0)    35354 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/example_complex_resonator_model.html\n -rw-r--r--   0 root         (0) root         (0)    37752 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/example_confidence_interval.html\n -rw-r--r--   0 root         (0) root         (0)    29740 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/example_detect_outliers.html\n -rw-r--r--   0 root         (0) root         (0)    21531 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/example_diffev.html\n -rw-r--r--   0 root         (0) root         (0)    16602 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/example_expression_model.html\n -rw-r--r--   0 root         (0) root         (0)    36237 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/example_fit_jacobian_benchmark.html\n@@ -305,30 +305,30 @@\n -rw-r--r--   0 root         (0) root         (0)    26737 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/example_fit_multi_datasets_Model-interface.html\n -rw-r--r--   0 root         (0) root         (0)    20375 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/example_fit_with_algebraic_constraint.html\n -rw-r--r--   0 root         (0) root         (0)    21061 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/example_fit_with_bounds.html\n -rw-r--r--   0 root         (0) root         (0)    26102 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/example_fit_with_derivfunc.html\n -rw-r--r--   0 root         (0) root         (0)    19657 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/example_fit_with_inequality.html\n -rw-r--r--   0 root         (0) root         (0)    23551 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/example_reduce_fcn.html\n -rw-r--r--   0 root         (0) root         (0)    22041 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/example_sympy.html\n--rw-r--r--   0 root         (0) root         (0)    49311 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/example_two_dimensional_peak.html\n+-rw-r--r--   0 root         (0) root         (0)    49312 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/example_two_dimensional_peak.html\n -rw-r--r--   0 root         (0) root         (0)    28601 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/example_uncertainties_y_and_x.html\n -rw-r--r--   0 root         (0) root         (0)    13361 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/example_use_pandas.html\n -rw-r--r--   0 root         (0) root         (0)    20837 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/index.html\n -rw-r--r--   0 root         (0) root         (0)    36125 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/examples/lmfit_emcee_model_selection.html\n -rw-r--r--   0 root         (0) root         (0)    29624 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/faq.html\n -rw-r--r--   0 root         (0) root         (0)   173684 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/fitting.html\n -rw-r--r--   0 root         (0) root         (0)    30339 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/genindex.html\n -rw-r--r--   0 root         (0) root         (0)    25955 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/index.html\n -rw-r--r--   0 root         (0) root         (0)    24473 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/installation.html\n -rw-r--r--   0 root         (0) root         (0)    16721 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/intro.html\n -rw-r--r--   0 root         (0) root         (0)   206627 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/model.html\n -rw-r--r--   0 root         (0) root         (0)     4110 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/objects.inv\n -rw-r--r--   0 root         (0) root         (0)    63161 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/parameters.html\n -rw-r--r--   0 root         (0) root         (0)     6060 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/search.html\n--rw-r--r--   0 root         (0) root         (0)   126255 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/searchindex.js\n+-rw-r--r--   0 root         (0) root         (0)   126252 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/searchindex.js\n -rw-r--r--   0 root         (0) root         (0)     8794 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/support.html\n -rw-r--r--   0 root         (0) root         (0)    71045 2025-06-07 22:50:00.000000 ./usr/share/doc/python3-lmfit/html/whatsnew.html\n drwxr-xr-x   0 root         (0) root         (0)        0 2025-06-07 22:50:00.000000 ./usr/share/doc-base/\n -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\n 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\n 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\n 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\n"}, {"source1": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_Model_interface.rst.txt", "source2": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_Model_interface.rst.txt", "unified_diff": "@@ -496,15 +496,15 @@\n \n \n \n \n \n .. rst-class:: sphx-glr-timing\n \n-   **Total running time of the script:** (0 minutes 0.451 seconds)\n+   **Total running time of the script:** (0 minutes 1.676 seconds)\n \n \n .. _sphx_glr_download_examples_example_Model_interface.py:\n \n .. only:: html\n \n   .. container:: sphx-glr-footer sphx-glr-footer-example\n"}, {"source1": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_basinhopping.rst.txt", "source2": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_basinhopping.rst.txt", "unified_diff": "@@ -146,15 +146,15 @@\n     plt.plot(x, result.best_fit, '-', label=method2)\n     plt.legend()\n     plt.show()\n \n \n .. rst-class:: sphx-glr-timing\n \n-   **Total running time of the script:** (0 minutes 3.939 seconds)\n+   **Total running time of the script:** (0 minutes 11.462 seconds)\n \n \n .. _sphx_glr_download_examples_example_basinhopping.py:\n \n .. only:: html\n \n   .. container:: sphx-glr-footer sphx-glr-footer-example\n"}, {"source1": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_brute.rst.txt", "source2": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_brute.rst.txt", "unified_diff": "@@ -970,15 +970,15 @@\n \n \n \n \n \n .. rst-class:: sphx-glr-timing\n \n-   **Total running time of the script:** (0 minutes 24.685 seconds)\n+   **Total running time of the script:** (1 minutes 24.574 seconds)\n \n \n .. _sphx_glr_download_examples_example_brute.py:\n \n .. only:: html\n \n   .. container:: sphx-glr-footer sphx-glr-footer-example\n"}, {"source1": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_complex_resonator_model.rst.txt", "source2": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_complex_resonator_model.rst.txt", "unified_diff": "@@ -291,15 +291,15 @@\n \n \n \n \n \n .. rst-class:: sphx-glr-timing\n \n-   **Total running time of the script:** (0 minutes 0.820 seconds)\n+   **Total running time of the script:** (0 minutes 2.756 seconds)\n \n \n .. _sphx_glr_download_examples_example_complex_resonator_model.py:\n \n .. only:: html\n \n   .. container:: sphx-glr-footer sphx-glr-footer-example\n"}, {"source1": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_confidence_interval.rst.txt", "source2": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_confidence_interval.rst.txt", "unified_diff": "@@ -275,15 +275,15 @@\n \n \n \n \n \n .. rst-class:: sphx-glr-timing\n \n-   **Total running time of the script:** (0 minutes 17.502 seconds)\n+   **Total running time of the script:** (0 minutes 42.751 seconds)\n \n \n .. _sphx_glr_download_examples_example_confidence_interval.py:\n \n .. only:: html\n \n   .. container:: sphx-glr-footer sphx-glr-footer-example\n"}, {"source1": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_detect_outliers.rst.txt", "source2": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_detect_outliers.rst.txt", "unified_diff": "@@ -261,15 +261,15 @@\n \n \n \n \n \n .. rst-class:: sphx-glr-timing\n \n-   **Total running time of the script:** (0 minutes 1.257 seconds)\n+   **Total running time of the script:** (0 minutes 3.810 seconds)\n \n \n .. _sphx_glr_download_examples_example_detect_outliers.py:\n \n .. only:: html\n \n   .. container:: sphx-glr-footer sphx-glr-footer-example\n"}, {"source1": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_diffev.rst.txt", "source2": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_diffev.rst.txt", "unified_diff": "@@ -184,15 +184,15 @@\n \n \n \n \n \n .. rst-class:: sphx-glr-timing\n \n-   **Total running time of the script:** (0 minutes 0.514 seconds)\n+   **Total running time of the script:** (0 minutes 2.207 seconds)\n \n \n .. _sphx_glr_download_examples_example_diffev.py:\n \n .. only:: html\n \n   .. container:: sphx-glr-footer sphx-glr-footer-example\n"}, {"source1": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_expression_model.rst.txt", "source2": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_expression_model.rst.txt", "unified_diff": "@@ -139,15 +139,15 @@\n \n \n \n \n \n .. rst-class:: sphx-glr-timing\n \n-   **Total running time of the script:** (0 minutes 0.290 seconds)\n+   **Total running time of the script:** (0 minutes 1.196 seconds)\n \n \n .. _sphx_glr_download_examples_example_expression_model.py:\n \n .. only:: html\n \n   .. container:: sphx-glr-footer sphx-glr-footer-example\n"}, {"source1": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_jacobian_benchmark.rst.txt", "source2": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_jacobian_benchmark.rst.txt", "unified_diff": "@@ -238,26 +238,26 @@\n \n  .. code-block:: none\n \n     The \"true\" parameters are: a = 2.500, b = 1.300, c = 0.800\n \n     | Method                  | Avg. time (ms) | # func. (+ Jac.) calls | Chi-squared | a     | b     | c     |\n     |-------------------------|----------------|------------------------|-------------|-------|-------|-------|\n-    | leastsq                 | 2.25           | 39                     | 1.092       | 2.564 | 1.359 | 0.824 |\n-    | leastsq with Jac.       | 1.91           | 12 (+10)               | 1.092       | 2.564 | 1.359 | 0.824 |\n-    | least_squares           | 5.25           | 38                     | 1.092       | 2.564 | 1.359 | 0.824 |\n-    | least_squares with Jac. | 3.43           | 11 (+9)                | 1.092       | 2.564 | 1.359 | 0.824 |\n+    | leastsq                 | 6.29           | 39                     | 1.092       | 2.564 | 1.359 | 0.824 |\n+    | leastsq with Jac.       | 5.56           | 12 (+10)               | 1.092       | 2.564 | 1.359 | 0.824 |\n+    | least_squares           | 14.03          | 38                     | 1.092       | 2.564 | 1.359 | 0.824 |\n+    | least_squares with Jac. | 8.66           | 11 (+9)                | 1.092       | 2.564 | 1.359 | 0.824 |\n \n \n \n \n \n .. rst-class:: sphx-glr-timing\n \n-   **Total running time of the script:** (0 minutes 1.679 seconds)\n+   **Total running time of the script:** (0 minutes 4.067 seconds)\n \n \n .. _sphx_glr_download_examples_example_fit_jacobian_benchmark.py:\n \n .. only:: html\n \n   .. container:: sphx-glr-footer sphx-glr-footer-example\n"}, {"source1": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_multi_datasets.rst.txt", "source2": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_multi_datasets.rst.txt", "unified_diff": "@@ -205,15 +205,15 @@\n \n \n \n \n \n .. rst-class:: sphx-glr-timing\n \n-   **Total running time of the script:** (0 minutes 0.304 seconds)\n+   **Total running time of the script:** (0 minutes 1.272 seconds)\n \n \n .. _sphx_glr_download_examples_example_fit_multi_datasets.py:\n \n .. only:: html\n \n   .. container:: sphx-glr-footer sphx-glr-footer-example\n"}, {"source1": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_multi_datasets_Model-interface.rst.txt", "source2": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_multi_datasets_Model-interface.rst.txt", "unified_diff": "@@ -230,15 +230,15 @@\n \n \n \n \n \n .. rst-class:: sphx-glr-timing\n \n-   **Total running time of the script:** (0 minutes 0.370 seconds)\n+   **Total running time of the script:** (0 minutes 1.113 seconds)\n \n \n .. _sphx_glr_download_examples_example_fit_multi_datasets_Model-interface.py:\n \n .. only:: html\n \n   .. container:: sphx-glr-footer sphx-glr-footer-example\n"}, {"source1": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_with_algebraic_constraint.rst.txt", "source2": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_with_algebraic_constraint.rst.txt", "unified_diff": "@@ -121,15 +121,15 @@\n \n \n \n \n \n .. rst-class:: sphx-glr-timing\n \n-   **Total running time of the script:** (0 minutes 0.318 seconds)\n+   **Total running time of the script:** (0 minutes 1.516 seconds)\n \n \n .. _sphx_glr_download_examples_example_fit_with_algebraic_constraint.py:\n \n .. only:: html\n \n   .. container:: sphx-glr-footer sphx-glr-footer-example\n"}, {"source1": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_with_bounds.rst.txt", "source2": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_with_bounds.rst.txt", "unified_diff": "@@ -178,15 +178,15 @@\n \n \n \n \n \n .. rst-class:: sphx-glr-timing\n \n-   **Total running time of the script:** (0 minutes 0.307 seconds)\n+   **Total running time of the script:** (0 minutes 1.207 seconds)\n \n \n .. _sphx_glr_download_examples_example_fit_with_bounds.py:\n \n .. only:: html\n \n   .. container:: sphx-glr-footer sphx-glr-footer-example\n"}, {"source1": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_with_derivfunc.rst.txt", "source2": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_with_derivfunc.rst.txt", "unified_diff": "@@ -175,15 +175,15 @@\n \n \n \n \n \n .. rst-class:: sphx-glr-timing\n \n-   **Total running time of the script:** (0 minutes 0.288 seconds)\n+   **Total running time of the script:** (0 minutes 1.287 seconds)\n \n \n .. _sphx_glr_download_examples_example_fit_with_derivfunc.py:\n \n .. only:: html\n \n   .. container:: sphx-glr-footer sphx-glr-footer-example\n"}, {"source1": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_with_inequality.rst.txt", "source2": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_with_inequality.rst.txt", "unified_diff": "@@ -163,15 +163,15 @@\n \n \n \n \n \n .. rst-class:: sphx-glr-timing\n \n-   **Total running time of the script:** (0 minutes 0.294 seconds)\n+   **Total running time of the script:** (0 minutes 1.336 seconds)\n \n \n .. _sphx_glr_download_examples_example_fit_with_inequality.py:\n \n .. only:: html\n \n   .. container:: sphx-glr-footer sphx-glr-footer-example\n"}, {"source1": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_reduce_fcn.rst.txt", "source2": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_reduce_fcn.rst.txt", "unified_diff": "@@ -199,15 +199,15 @@\n \n \n \n \n \n .. rst-class:: sphx-glr-timing\n \n-   **Total running time of the script:** (0 minutes 0.360 seconds)\n+   **Total running time of the script:** (0 minutes 1.483 seconds)\n \n \n .. _sphx_glr_download_examples_example_reduce_fcn.py:\n \n .. only:: html\n \n   .. container:: sphx-glr-footer sphx-glr-footer-example\n"}, {"source1": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_sympy.rst.txt", "source2": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_sympy.rst.txt", "unified_diff": "@@ -189,15 +189,15 @@\n \n \n \n \n \n .. rst-class:: sphx-glr-timing\n \n-   **Total running time of the script:** (0 minutes 1.346 seconds)\n+   **Total running time of the script:** (0 minutes 4.358 seconds)\n \n \n .. _sphx_glr_download_examples_example_sympy.py:\n \n .. only:: html\n \n   .. container:: sphx-glr-footer sphx-glr-footer-example\n"}, {"source1": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_two_dimensional_peak.rst.txt", "source2": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_two_dimensional_peak.rst.txt", "unified_diff": "@@ -368,15 +368,15 @@\n \n \n \n \n \n .. rst-class:: sphx-glr-timing\n \n-   **Total running time of the script:** (0 minutes 3.347 seconds)\n+   **Total running time of the script:** (0 minutes 13.247 seconds)\n \n \n .. _sphx_glr_download_examples_example_two_dimensional_peak.py:\n \n .. only:: html\n \n   .. container:: sphx-glr-footer sphx-glr-footer-example\n"}, {"source1": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_uncertainties_y_and_x.rst.txt", "source2": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_uncertainties_y_and_x.rst.txt", "unified_diff": "@@ -198,15 +198,15 @@\n     plt.show()\n \n     # # <end examples/doc_uncertainties_in_x_and_y.py>\n \n \n .. rst-class:: sphx-glr-timing\n \n-   **Total running time of the script:** (0 minutes 0.295 seconds)\n+   **Total running time of the script:** (0 minutes 1.006 seconds)\n \n \n .. _sphx_glr_download_examples_example_uncertainties_y_and_x.py:\n \n .. only:: html\n \n   .. container:: sphx-glr-footer sphx-glr-footer-example\n"}, {"source1": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_use_pandas.rst.txt", "source2": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_use_pandas.rst.txt", "unified_diff": "@@ -123,15 +123,15 @@\n \n \n \n \n \n .. rst-class:: sphx-glr-timing\n \n-   **Total running time of the script:** (0 minutes 0.330 seconds)\n+   **Total running time of the script:** (0 minutes 1.398 seconds)\n \n \n .. _sphx_glr_download_examples_example_use_pandas.py:\n \n .. only:: html\n \n   .. container:: sphx-glr-footer sphx-glr-footer-example\n"}, {"source1": "./usr/share/doc/python3-lmfit/html/examples/example_Model_interface.html", "source2": "./usr/share/doc/python3-lmfit/html/examples/example_Model_interface.html", "unified_diff": "@@ -337,15 +337,15 @@\n <div class=\"sphx-glr-script-out highlight-none notranslate\"><div class=\"highlight\"><pre><span></span>[[Variables]]\n     N:    7.11270194 +/- 0.24334895 (3.42%) (init = 10)\n     tau:  2.92065227 +/- 0.13488230 (4.62%) (init = 1)\n [[Correlations]] (unreported correlations are &lt; 0.100)\n     C(N, tau) = -0.9320\n </pre></div>\n </div>\n-<p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (0 minutes 0.451 seconds)</p>\n+<p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (0 minutes 1.676 seconds)</p>\n <div class=\"sphx-glr-footer sphx-glr-footer-example docutils container\" id=\"sphx-glr-download-examples-example-model-interface-py\">\n <div class=\"sphx-glr-download sphx-glr-download-jupyter docutils container\">\n <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>\n </div>\n <div class=\"sphx-glr-download sphx-glr-download-python docutils container\">\n <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>\n </div>\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -179,15 +179,15 @@\n result = model.fit(truncated_data_with_holes, params, t=t)\n report_fit(result.params)\n [[Variables]]\n     N:    7.11270194 +/- 0.24334895 (3.42%) (init = 10)\n     tau:  2.92065227 +/- 0.13488230 (4.62%) (init = 1)\n [[Correlations]] (unreported correlations are < 0.100)\n     C(N, tau) = -0.9320\n-T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 0.451 seconds)\n+T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 1.676 seconds)\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bJ_\bu_\bp_\by_\bt_\be_\br_\b _\bn_\bo_\bt_\be_\bb_\bo_\bo_\bk_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bM_\bo_\bd_\be_\bl_\b__\bi_\bn_\bt_\be_\br_\bf_\ba_\bc_\be_\b._\bi_\bp_\by_\bn_\bb\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bP_\by_\bt_\bh_\bo_\bn_\b _\bs_\bo_\bu_\br_\bc_\be_\b _\bc_\bo_\bd_\be_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bM_\bo_\bd_\be_\bl_\b__\bi_\bn_\bt_\be_\br_\bf_\ba_\bc_\be_\b._\bp_\by\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bz_\bi_\bp_\bp_\be_\bd_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bM_\bo_\bd_\be_\bl_\b__\bi_\bn_\bt_\be_\br_\bf_\ba_\bc_\be_\b._\bz_\bi_\bp\n _\bG_\ba_\bl_\bl_\be_\br_\by_\b _\bg_\be_\bn_\be_\br_\ba_\bt_\be_\bd_\b _\bb_\by_\b _\bS_\bp_\bh_\bi_\bn_\bx_\b-_\bG_\ba_\bl_\bl_\be_\br_\by\n *\b**\b**\b**\b* N\bNa\bav\bvi\big\bga\bat\bti\bio\bon\bn *\b**\b**\b**\b*\n     * _\bi_\bn_\bd_\be_\bx\n     * _\bn_\be_\bx_\bt |\n"}]}, {"source1": "./usr/share/doc/python3-lmfit/html/examples/example_basinhopping.html", "source2": "./usr/share/doc/python3-lmfit/html/examples/example_basinhopping.html", "unified_diff": "@@ -235,15 +235,15 @@\n <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>\n <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>\n <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>\n <span class=\"n\">plt</span><span class=\"o\">.</span><span class=\"n\">legend</span><span class=\"p\">()</span>\n <span class=\"n\">plt</span><span class=\"o\">.</span><span class=\"n\">show</span><span class=\"p\">()</span>\n </pre></div>\n </div>\n-<p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (0 minutes 3.939 seconds)</p>\n+<p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (0 minutes 11.462 seconds)</p>\n <div class=\"sphx-glr-footer sphx-glr-footer-example docutils container\" id=\"sphx-glr-download-examples-example-basinhopping-py\">\n <div class=\"sphx-glr-download sphx-glr-download-jupyter docutils container\">\n <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>\n </div>\n <div class=\"sphx-glr-download sphx-glr-download-python docutils container\">\n <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>\n </div>\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -124,15 +124,15 @@\n \n # plot comparison\n plt.plot(x, ydat, 'o', label='data')\n plt.plot(x, result0.best_fit, '+', label='leastsq')\n plt.plot(x, result.best_fit, '-', label=method2)\n plt.legend()\n plt.show()\n-T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 3.939 seconds)\n+T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 11.462 seconds)\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bJ_\bu_\bp_\by_\bt_\be_\br_\b _\bn_\bo_\bt_\be_\bb_\bo_\bo_\bk_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bb_\ba_\bs_\bi_\bn_\bh_\bo_\bp_\bp_\bi_\bn_\bg_\b._\bi_\bp_\by_\bn_\bb\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bP_\by_\bt_\bh_\bo_\bn_\b _\bs_\bo_\bu_\br_\bc_\be_\b _\bc_\bo_\bd_\be_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bb_\ba_\bs_\bi_\bn_\bh_\bo_\bp_\bp_\bi_\bn_\bg_\b._\bp_\by\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bz_\bi_\bp_\bp_\be_\bd_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bb_\ba_\bs_\bi_\bn_\bh_\bo_\bp_\bp_\bi_\bn_\bg_\b._\bz_\bi_\bp\n _\bG_\ba_\bl_\bl_\be_\br_\by_\b _\bg_\be_\bn_\be_\br_\ba_\bt_\be_\bd_\b _\bb_\by_\b _\bS_\bp_\bh_\bi_\bn_\bx_\b-_\bG_\ba_\bl_\bl_\be_\br_\by\n *\b**\b**\b**\b* N\bNa\bav\bvi\big\bga\bat\bti\bio\bon\bn *\b**\b**\b**\b*\n     * _\bi_\bn_\bd_\be_\bx\n     * _\bn_\be_\bx_\bt |\n"}]}, {"source1": "./usr/share/doc/python3-lmfit/html/examples/example_brute.html", "source2": "./usr/share/doc/python3-lmfit/html/examples/example_brute.html", "unified_diff": "@@ -649,15 +649,15 @@\n </pre></div>\n </div>\n <p>and finally, to generated the figure:</p>\n <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>\n <span class=\"n\">plt</span><span class=\"o\">.</span><span class=\"n\">show</span><span class=\"p\">()</span>\n </pre></div>\n </div>\n-<img src=\"../_images/sphx_glr_example_brute_004.png\" srcset=\"../_images/sphx_glr_example_brute_004.png, ../_images/sphx_glr_example_brute_004_3_00x.png 3.00x\" alt=\"example brute\" class = \"sphx-glr-single-img\"/><p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (0 minutes 24.685 seconds)</p>\n+<img src=\"../_images/sphx_glr_example_brute_004.png\" srcset=\"../_images/sphx_glr_example_brute_004.png, ../_images/sphx_glr_example_brute_004_3_00x.png 3.00x\" alt=\"example brute\" class = \"sphx-glr-single-img\"/><p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (1 minutes 24.574 seconds)</p>\n <div class=\"sphx-glr-footer sphx-glr-footer-example docutils container\" id=\"sphx-glr-download-examples-example-brute-py\">\n <div class=\"sphx-glr-download sphx-glr-download-jupyter docutils container\">\n <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>\n </div>\n <div class=\"sphx-glr-download sphx-glr-download-python docutils container\">\n <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>\n </div>\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -476,15 +476,15 @@\n \n     if output is not None:\n         plt.savefig(output)\n and finally, to generated the figure:\n plot_results_brute(result_brute, best_vals=True, varlabels=None)\n plt.show()\n [example brute]\n-T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 24.685 seconds)\n+T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (1 minutes 24.574 seconds)\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bJ_\bu_\bp_\by_\bt_\be_\br_\b _\bn_\bo_\bt_\be_\bb_\bo_\bo_\bk_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bb_\br_\bu_\bt_\be_\b._\bi_\bp_\by_\bn_\bb\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bP_\by_\bt_\bh_\bo_\bn_\b _\bs_\bo_\bu_\br_\bc_\be_\b _\bc_\bo_\bd_\be_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bb_\br_\bu_\bt_\be_\b._\bp_\by\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bz_\bi_\bp_\bp_\be_\bd_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bb_\br_\bu_\bt_\be_\b._\bz_\bi_\bp\n _\bG_\ba_\bl_\bl_\be_\br_\by_\b _\bg_\be_\bn_\be_\br_\ba_\bt_\be_\bd_\b _\bb_\by_\b _\bS_\bp_\bh_\bi_\bn_\bx_\b-_\bG_\ba_\bl_\bl_\be_\br_\by\n *\b**\b**\b**\b* N\bNa\bav\bvi\big\bga\bat\bti\bio\bon\bn *\b**\b**\b**\b*\n     * _\bi_\bn_\bd_\be_\bx\n     * _\bp_\br_\be_\bv_\bi_\bo_\bu_\bs |\n"}]}, {"source1": "./usr/share/doc/python3-lmfit/html/examples/example_complex_resonator_model.html", "source2": "./usr/share/doc/python3-lmfit/html/examples/example_complex_resonator_model.html", "unified_diff": "@@ -278,15 +278,15 @@\n <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>\n </pre></div>\n </div>\n <ul class=\"sphx-glr-horizontal\">\n <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>\n <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>\n </ul>\n-<p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (0 minutes 0.820 seconds)</p>\n+<p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (0 minutes 2.756 seconds)</p>\n <div class=\"sphx-glr-footer sphx-glr-footer-example docutils container\" id=\"sphx-glr-download-examples-example-complex-resonator-model-py\">\n <div class=\"sphx-glr-download sphx-glr-download-jupyter docutils container\">\n <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>\n </div>\n <div class=\"sphx-glr-download sphx-glr-download-python docutils container\">\n <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>\n </div>\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -158,15 +158,15 @@\n plt.plot(f, 20*np.log10(np.abs(fit_s21)), '.-', label='best fit')\n plt.plot(f, 20*np.log10(np.abs(guess_s21)), '--', label='initial fit')\n plt.legend()\n plt.ylabel('|S21| (dB)')\n plt.xlabel('MHz')\n     * [example complex resonator model]\n     * [example complex resonator model]\n-T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 0.820 seconds)\n+T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 2.756 seconds)\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bJ_\bu_\bp_\by_\bt_\be_\br_\b _\bn_\bo_\bt_\be_\bb_\bo_\bo_\bk_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bc_\bo_\bm_\bp_\bl_\be_\bx_\b__\br_\be_\bs_\bo_\bn_\ba_\bt_\bo_\br_\b__\bm_\bo_\bd_\be_\bl_\b._\bi_\bp_\by_\bn_\bb\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bP_\by_\bt_\bh_\bo_\bn_\b _\bs_\bo_\bu_\br_\bc_\be_\b _\bc_\bo_\bd_\be_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bc_\bo_\bm_\bp_\bl_\be_\bx_\b__\br_\be_\bs_\bo_\bn_\ba_\bt_\bo_\br_\b__\bm_\bo_\bd_\be_\bl_\b._\bp_\by\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bz_\bi_\bp_\bp_\be_\bd_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bc_\bo_\bm_\bp_\bl_\be_\bx_\b__\br_\be_\bs_\bo_\bn_\ba_\bt_\bo_\br_\b__\bm_\bo_\bd_\be_\bl_\b._\bz_\bi_\bp\n _\bG_\ba_\bl_\bl_\be_\br_\by_\b _\bg_\be_\bn_\be_\br_\ba_\bt_\be_\bd_\b _\bb_\by_\b _\bS_\bp_\bh_\bi_\bn_\bx_\b-_\bG_\ba_\bl_\bl_\be_\br_\by\n *\b**\b**\b**\b* N\bNa\bav\bvi\big\bga\bat\bti\bio\bon\bn *\b**\b**\b**\b*\n     * _\bi_\bn_\bd_\be_\bx\n     * _\bn_\be_\bx_\bt |\n"}]}, {"source1": "./usr/share/doc/python3-lmfit/html/examples/example_confidence_interval.html", "source2": "./usr/share/doc/python3-lmfit/html/examples/example_confidence_interval.html", "unified_diff": "@@ -291,15 +291,15 @@\n             <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>\n             <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>\n \n <span class=\"n\">plt</span><span class=\"o\">.</span><span class=\"n\">tight_layout</span><span class=\"p\">()</span>\n <span class=\"n\">plt</span><span class=\"o\">.</span><span class=\"n\">show</span><span class=\"p\">()</span>\n </pre></div>\n </div>\n-<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 17.502 seconds)</p>\n+<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 42.751 seconds)</p>\n <div class=\"sphx-glr-footer sphx-glr-footer-example docutils container\" id=\"sphx-glr-download-examples-example-confidence-interval-py\">\n <div class=\"sphx-glr-download sphx-glr-download-jupyter docutils container\">\n <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>\n </div>\n <div class=\"sphx-glr-download sphx-glr-download-python docutils container\">\n <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>\n </div>\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -171,15 +171,15 @@\n             plt.plot(xn, f(xn), lw=1)\n             plt.ylabel('prob')\n             ax.tick_params(labelleft=True)\n \n plt.tight_layout()\n plt.show()\n [example confidence interval]\n-T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 17.502 seconds)\n+T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 42.751 seconds)\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bJ_\bu_\bp_\by_\bt_\be_\br_\b _\bn_\bo_\bt_\be_\bb_\bo_\bo_\bk_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bc_\bo_\bn_\bf_\bi_\bd_\be_\bn_\bc_\be_\b__\bi_\bn_\bt_\be_\br_\bv_\ba_\bl_\b._\bi_\bp_\by_\bn_\bb\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bP_\by_\bt_\bh_\bo_\bn_\b _\bs_\bo_\bu_\br_\bc_\be_\b _\bc_\bo_\bd_\be_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bc_\bo_\bn_\bf_\bi_\bd_\be_\bn_\bc_\be_\b__\bi_\bn_\bt_\be_\br_\bv_\ba_\bl_\b._\bp_\by\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bz_\bi_\bp_\bp_\be_\bd_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bc_\bo_\bn_\bf_\bi_\bd_\be_\bn_\bc_\be_\b__\bi_\bn_\bt_\be_\br_\bv_\ba_\bl_\b._\bz_\bi_\bp\n _\bG_\ba_\bl_\bl_\be_\br_\by_\b _\bg_\be_\bn_\be_\br_\ba_\bt_\be_\bd_\b _\bb_\by_\b _\bS_\bp_\bh_\bi_\bn_\bx_\b-_\bG_\ba_\bl_\bl_\be_\br_\by\n *\b**\b**\b**\b* N\bNa\bav\bvi\big\bga\bat\bti\bio\bon\bn *\b**\b**\b**\b*\n     * _\bi_\bn_\bd_\be_\bx\n     * _\bn_\be_\bx_\bt |\n"}]}, {"source1": "./usr/share/doc/python3-lmfit/html/examples/example_detect_outliers.html", "source2": "./usr/share/doc/python3-lmfit/html/examples/example_detect_outliers.html", "unified_diff": "@@ -240,15 +240,15 @@\n <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>\n <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>\n <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>\n \n <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>\n </pre></div>\n </div>\n-<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 1.257 seconds)</p>\n+<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 3.810 seconds)</p>\n <div class=\"sphx-glr-footer sphx-glr-footer-example docutils container\" id=\"sphx-glr-download-examples-example-detect-outliers-py\">\n <div class=\"sphx-glr-download sphx-glr-download-jupyter docutils container\">\n <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>\n </div>\n <div class=\"sphx-glr-download sphx-glr-download-python docutils container\">\n <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>\n </div>\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -117,15 +117,15 @@\n \n axs[3].plot(x, stderrs['b'])\n axs[3].scatter(x[idx], stderrs['b'][idx], color='r', label='outlier')\n axs[3].set_ylabel('err b change')\n \n axs[3].set_xlabel('x')\n [example detect outliers]\n-T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 1.257 seconds)\n+T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 3.810 seconds)\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bJ_\bu_\bp_\by_\bt_\be_\br_\b _\bn_\bo_\bt_\be_\bb_\bo_\bo_\bk_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bd_\be_\bt_\be_\bc_\bt_\b__\bo_\bu_\bt_\bl_\bi_\be_\br_\bs_\b._\bi_\bp_\by_\bn_\bb\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bP_\by_\bt_\bh_\bo_\bn_\b _\bs_\bo_\bu_\br_\bc_\be_\b _\bc_\bo_\bd_\be_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bd_\be_\bt_\be_\bc_\bt_\b__\bo_\bu_\bt_\bl_\bi_\be_\br_\bs_\b._\bp_\by\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bz_\bi_\bp_\bp_\be_\bd_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bd_\be_\bt_\be_\bc_\bt_\b__\bo_\bu_\bt_\bl_\bi_\be_\br_\bs_\b._\bz_\bi_\bp\n _\bG_\ba_\bl_\bl_\be_\br_\by_\b _\bg_\be_\bn_\be_\br_\ba_\bt_\be_\bd_\b _\bb_\by_\b _\bS_\bp_\bh_\bi_\bn_\bx_\b-_\bG_\ba_\bl_\bl_\be_\br_\by\n *\b**\b**\b**\b* N\bNa\bav\bvi\big\bga\bat\bti\bio\bon\bn *\b**\b**\b**\b*\n     * _\bi_\bn_\bd_\be_\bx\n     * _\bn_\be_\bx_\bt |\n"}]}, {"source1": "./usr/share/doc/python3-lmfit/html/examples/example_diffev.html", "source2": "./usr/share/doc/python3-lmfit/html/examples/example_diffev.html", "unified_diff": "@@ -223,15 +223,15 @@\n </div>\n <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>\n <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>\n <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>\n <span class=\"n\">plt</span><span class=\"o\">.</span><span class=\"n\">legend</span><span class=\"p\">()</span>\n </pre></div>\n </div>\n-<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 0.514 seconds)</p>\n+<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 2.207 seconds)</p>\n <div class=\"sphx-glr-footer sphx-glr-footer-example docutils container\" id=\"sphx-glr-download-examples-example-diffev-py\">\n <div class=\"sphx-glr-download sphx-glr-download-jupyter docutils container\">\n <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>\n </div>\n <div class=\"sphx-glr-download sphx-glr-download-python docutils container\">\n <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>\n </div>\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -105,15 +105,15 @@\n     amp:     1.80253515 (init = 2.5)\n     decay:   5.76281275 (init = 1)\n plt.plot(x, yn, 'o', label='data')\n plt.plot(x, yn+o1.residual, '-', label='leastsq')\n plt.plot(x, yn+o2.residual, '--', label='diffev')\n plt.legend()\n [example diffev]\n-T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 0.514 seconds)\n+T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 2.207 seconds)\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bJ_\bu_\bp_\by_\bt_\be_\br_\b _\bn_\bo_\bt_\be_\bb_\bo_\bo_\bk_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bd_\bi_\bf_\bf_\be_\bv_\b._\bi_\bp_\by_\bn_\bb\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bP_\by_\bt_\bh_\bo_\bn_\b _\bs_\bo_\bu_\br_\bc_\be_\b _\bc_\bo_\bd_\be_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bd_\bi_\bf_\bf_\be_\bv_\b._\bp_\by\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bz_\bi_\bp_\bp_\be_\bd_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bd_\bi_\bf_\bf_\be_\bv_\b._\bz_\bi_\bp\n _\bG_\ba_\bl_\bl_\be_\br_\by_\b _\bg_\be_\bn_\be_\br_\ba_\bt_\be_\bd_\b _\bb_\by_\b _\bS_\bp_\bh_\bi_\bn_\bx_\b-_\bG_\ba_\bl_\bl_\be_\br_\by\n *\b**\b**\b**\b* N\bNa\bav\bvi\big\bga\bat\bti\bio\bon\bn *\b**\b**\b**\b*\n     * _\bi_\bn_\bd_\be_\bx\n     * _\bn_\be_\bx_\bt |\n"}]}, {"source1": "./usr/share/doc/python3-lmfit/html/examples/example_expression_model.html", "source2": "./usr/share/doc/python3-lmfit/html/examples/example_expression_model.html", "unified_diff": "@@ -181,15 +181,15 @@\n </div>\n <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>\n <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>\n <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>\n <span class=\"n\">plt</span><span class=\"o\">.</span><span class=\"n\">legend</span><span class=\"p\">()</span>\n </pre></div>\n </div>\n-<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 0.290 seconds)</p>\n+<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 1.196 seconds)</p>\n <div class=\"sphx-glr-footer sphx-glr-footer-example docutils container\" id=\"sphx-glr-download-examples-example-expression-model-py\">\n <div class=\"sphx-glr-download sphx-glr-download-jupyter docutils container\">\n <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>\n </div>\n <div class=\"sphx-glr-download sphx-glr-download-python docutils container\">\n <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>\n </div>\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -65,15 +65,15 @@\n [[Correlations]] (unreported correlations are < 0.100)\n     C(amp, wid) = +0.5774\n plt.plot(x, y, 'o')\n plt.plot(x, result.init_fit, '--', label='initial fit')\n plt.plot(x, result.best_fit, '-', label='best fit')\n plt.legend()\n [example expression model]\n-T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 0.290 seconds)\n+T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 1.196 seconds)\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bJ_\bu_\bp_\by_\bt_\be_\br_\b _\bn_\bo_\bt_\be_\bb_\bo_\bo_\bk_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\be_\bx_\bp_\br_\be_\bs_\bs_\bi_\bo_\bn_\b__\bm_\bo_\bd_\be_\bl_\b._\bi_\bp_\by_\bn_\bb\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bP_\by_\bt_\bh_\bo_\bn_\b _\bs_\bo_\bu_\br_\bc_\be_\b _\bc_\bo_\bd_\be_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\be_\bx_\bp_\br_\be_\bs_\bs_\bi_\bo_\bn_\b__\bm_\bo_\bd_\be_\bl_\b._\bp_\by\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bz_\bi_\bp_\bp_\be_\bd_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\be_\bx_\bp_\br_\be_\bs_\bs_\bi_\bo_\bn_\b__\bm_\bo_\bd_\be_\bl_\b._\bz_\bi_\bp\n _\bG_\ba_\bl_\bl_\be_\br_\by_\b _\bg_\be_\bn_\be_\br_\ba_\bt_\be_\bd_\b _\bb_\by_\b _\bS_\bp_\bh_\bi_\bn_\bx_\b-_\bG_\ba_\bl_\bl_\be_\br_\by\n *\b**\b**\b**\b* N\bNa\bav\bvi\big\bga\bat\bti\bio\bon\bn *\b**\b**\b**\b*\n     * _\bi_\bn_\bd_\be_\bx\n     * _\bn_\be_\bx_\bt |\n"}]}, {"source1": "./usr/share/doc/python3-lmfit/html/examples/example_fit_jacobian_benchmark.html", "source2": "./usr/share/doc/python3-lmfit/html/examples/example_fit_jacobian_benchmark.html", "unified_diff": "@@ -305,21 +305,21 @@\n <span class=\"n\">ax</span><span class=\"o\">.</span><span class=\"n\">legend</span><span class=\"p\">()</span>\n </pre></div>\n </div>\n <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\n \n | Method                  | Avg. time (ms) | # func. (+ Jac.) calls | Chi-squared | a     | b     | c     |\n |-------------------------|----------------|------------------------|-------------|-------|-------|-------|\n-| leastsq                 | 2.25           | 39                     | 1.092       | 2.564 | 1.359 | 0.824 |\n-| leastsq with Jac.       | 1.91           | 12 (+10)               | 1.092       | 2.564 | 1.359 | 0.824 |\n-| least_squares           | 5.25           | 38                     | 1.092       | 2.564 | 1.359 | 0.824 |\n-| least_squares with Jac. | 3.43           | 11 (+9)                | 1.092       | 2.564 | 1.359 | 0.824 |\n+| leastsq                 | 6.29           | 39                     | 1.092       | 2.564 | 1.359 | 0.824 |\n+| leastsq with Jac.       | 5.56           | 12 (+10)               | 1.092       | 2.564 | 1.359 | 0.824 |\n+| least_squares           | 14.03          | 38                     | 1.092       | 2.564 | 1.359 | 0.824 |\n+| least_squares with Jac. | 8.66           | 11 (+9)                | 1.092       | 2.564 | 1.359 | 0.824 |\n </pre></div>\n </div>\n-<p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (0 minutes 1.679 seconds)</p>\n+<p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (0 minutes 4.067 seconds)</p>\n <div class=\"sphx-glr-footer sphx-glr-footer-example docutils container\" id=\"sphx-glr-download-examples-example-fit-jacobian-benchmark-py\">\n <div class=\"sphx-glr-download sphx-glr-download-jupyter docutils container\">\n <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>\n </div>\n <div class=\"sphx-glr-download sphx-glr-download-python docutils container\">\n <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>\n </div>\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -197,23 +197,23 @@\n [example fit jacobian benchmark]\n The \"true\" parameters are: a = 2.500, b = 1.300, c = 0.800\n \n | Method                  | Avg. time (ms) | # func. (+ Jac.) calls | Chi-\n squared | a     | b     | c     |\n |-------------------------|----------------|------------------------|----------\n ---|-------|-------|-------|\n-| leastsq                 | 2.25           | 39                     | 1.092\n+| leastsq                 | 6.29           | 39                     | 1.092\n | 2.564 | 1.359 | 0.824 |\n-| leastsq with Jac.       | 1.91           | 12 (+10)               | 1.092\n+| leastsq with Jac.       | 5.56           | 12 (+10)               | 1.092\n | 2.564 | 1.359 | 0.824 |\n-| least_squares           | 5.25           | 38                     | 1.092\n+| least_squares           | 14.03          | 38                     | 1.092\n | 2.564 | 1.359 | 0.824 |\n-| least_squares with Jac. | 3.43           | 11 (+9)                | 1.092\n+| least_squares with Jac. | 8.66           | 11 (+9)                | 1.092\n | 2.564 | 1.359 | 0.824 |\n-T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 1.679 seconds)\n+T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 4.067 seconds)\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bJ_\bu_\bp_\by_\bt_\be_\br_\b _\bn_\bo_\bt_\be_\bb_\bo_\bo_\bk_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bf_\bi_\bt_\b__\bj_\ba_\bc_\bo_\bb_\bi_\ba_\bn_\b__\bb_\be_\bn_\bc_\bh_\bm_\ba_\br_\bk_\b._\bi_\bp_\by_\bn_\bb\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bP_\by_\bt_\bh_\bo_\bn_\b _\bs_\bo_\bu_\br_\bc_\be_\b _\bc_\bo_\bd_\be_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bf_\bi_\bt_\b__\bj_\ba_\bc_\bo_\bb_\bi_\ba_\bn_\b__\bb_\be_\bn_\bc_\bh_\bm_\ba_\br_\bk_\b._\bp_\by\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bz_\bi_\bp_\bp_\be_\bd_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bf_\bi_\bt_\b__\bj_\ba_\bc_\bo_\bb_\bi_\ba_\bn_\b__\bb_\be_\bn_\bc_\bh_\bm_\ba_\br_\bk_\b._\bz_\bi_\bp\n _\bG_\ba_\bl_\bl_\be_\br_\by_\b _\bg_\be_\bn_\be_\br_\ba_\bt_\be_\bd_\b _\bb_\by_\b _\bS_\bp_\bh_\bi_\bn_\bx_\b-_\bG_\ba_\bl_\bl_\be_\br_\by\n *\b**\b**\b**\b* N\bNa\bav\bvi\big\bga\bat\bti\bio\bon\bn *\b**\b**\b**\b*\n     * _\bi_\bn_\bd_\be_\bx\n     * _\bn_\be_\bx_\bt |\n"}]}, {"source1": "./usr/share/doc/python3-lmfit/html/examples/example_fit_multi_datasets.html", "source2": "./usr/share/doc/python3-lmfit/html/examples/example_fit_multi_datasets.html", "unified_diff": "@@ -229,15 +229,15 @@\n <p>Plot the data sets and fits</p>\n <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>\n <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>\n     <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>\n     <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>\n </pre></div>\n </div>\n-<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 0.304 seconds)</p>\n+<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 1.272 seconds)</p>\n <div class=\"sphx-glr-footer sphx-glr-footer-example docutils container\" id=\"sphx-glr-download-examples-example-fit-multi-datasets-py\">\n <div class=\"sphx-glr-download sphx-glr-download-jupyter docutils container\">\n <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>\n </div>\n <div class=\"sphx-glr-download sphx-glr-download-python docutils container\">\n <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>\n </div>\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -110,15 +110,15 @@\n     C(amp_2, amp_5) = +0.1092\n Plot the data sets and fits\n plt.figure()\n for i in range(5):\n     y_fit = gauss_dataset(out.params, i, x)\n     plt.plot(x, data[i, :], 'o', x, y_fit, '-')\n [example fit multi datasets]\n-T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 0.304 seconds)\n+T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 1.272 seconds)\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bJ_\bu_\bp_\by_\bt_\be_\br_\b _\bn_\bo_\bt_\be_\bb_\bo_\bo_\bk_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bf_\bi_\bt_\b__\bm_\bu_\bl_\bt_\bi_\b__\bd_\ba_\bt_\ba_\bs_\be_\bt_\bs_\b._\bi_\bp_\by_\bn_\bb\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bP_\by_\bt_\bh_\bo_\bn_\b _\bs_\bo_\bu_\br_\bc_\be_\b _\bc_\bo_\bd_\be_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bf_\bi_\bt_\b__\bm_\bu_\bl_\bt_\bi_\b__\bd_\ba_\bt_\ba_\bs_\be_\bt_\bs_\b._\bp_\by\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bz_\bi_\bp_\bp_\be_\bd_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bf_\bi_\bt_\b__\bm_\bu_\bl_\bt_\bi_\b__\bd_\ba_\bt_\ba_\bs_\be_\bt_\bs_\b._\bz_\bi_\bp\n _\bG_\ba_\bl_\bl_\be_\br_\by_\b _\bg_\be_\bn_\be_\br_\ba_\bt_\be_\bd_\b _\bb_\by_\b _\bS_\bp_\bh_\bi_\bn_\bx_\b-_\bG_\ba_\bl_\bl_\be_\br_\by\n *\b**\b**\b**\b* N\bNa\bav\bvi\big\bga\bat\bti\bio\bon\bn *\b**\b**\b**\b*\n     * _\bi_\bn_\bd_\be_\bx\n     * _\bn_\be_\bx_\bt |\n"}]}, {"source1": "./usr/share/doc/python3-lmfit/html/examples/example_fit_multi_datasets_Model-interface.html", "source2": "./usr/share/doc/python3-lmfit/html/examples/example_fit_multi_datasets_Model-interface.html", "unified_diff": "@@ -240,15 +240,15 @@\n <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>\n     <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>\n     <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>\n \n <span class=\"n\">plt</span><span class=\"o\">.</span><span class=\"n\">show</span><span class=\"p\">()</span>\n </pre></div>\n </div>\n-<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 0.370 seconds)</p>\n+<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 1.113 seconds)</p>\n <div class=\"sphx-glr-footer sphx-glr-footer-example docutils container\" id=\"sphx-glr-download-examples-example-fit-multi-datasets-model-interface-py\">\n <div class=\"sphx-glr-download sphx-glr-download-jupyter docutils container\">\n <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>\n </div>\n <div class=\"sphx-glr-download sphx-glr-download-python docutils container\">\n <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>\n </div>\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -123,15 +123,15 @@\n plt.figure()\n for i, y in enumerate(data):\n     components = model.eval_components(params=out.params, x=x)\n     plt.plot(x, y, 'o', x, components[f'n{i+1}_'], '-')\n \n plt.show()\n [example fit multi datasets Model interface]\n-T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 0.370 seconds)\n+T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 1.113 seconds)\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bJ_\bu_\bp_\by_\bt_\be_\br_\b _\bn_\bo_\bt_\be_\bb_\bo_\bo_\bk_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bf_\bi_\bt_\b__\bm_\bu_\bl_\bt_\bi_\b__\bd_\ba_\bt_\ba_\bs_\be_\bt_\bs_\b__\bM_\bo_\bd_\be_\bl_\b-_\bi_\bn_\bt_\be_\br_\bf_\ba_\bc_\be_\b._\bi_\bp_\by_\bn_\bb\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bP_\by_\bt_\bh_\bo_\bn_\b _\bs_\bo_\bu_\br_\bc_\be_\b _\bc_\bo_\bd_\be_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bf_\bi_\bt_\b__\bm_\bu_\bl_\bt_\bi_\b__\bd_\ba_\bt_\ba_\bs_\be_\bt_\bs_\b__\bM_\bo_\bd_\be_\bl_\b-_\bi_\bn_\bt_\be_\br_\bf_\ba_\bc_\be_\b._\bp_\by\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bz_\bi_\bp_\bp_\be_\bd_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bf_\bi_\bt_\b__\bm_\bu_\bl_\bt_\bi_\b__\bd_\ba_\bt_\ba_\bs_\be_\bt_\bs_\b__\bM_\bo_\bd_\be_\bl_\b-_\bi_\bn_\bt_\be_\br_\bf_\ba_\bc_\be_\b._\bz_\bi_\bp\n _\bG_\ba_\bl_\bl_\be_\br_\by_\b _\bg_\be_\bn_\be_\br_\ba_\bt_\be_\bd_\b _\bb_\by_\b _\bS_\bp_\bh_\bi_\bn_\bx_\b-_\bG_\ba_\bl_\bl_\be_\br_\by\n *\b**\b**\b**\b* N\bNa\bav\bvi\big\bga\bat\bti\bio\bon\bn *\b**\b**\b**\b*\n     * _\bi_\bn_\bd_\be_\bx\n     * _\bn_\be_\bx_\bt |\n"}]}, {"source1": "./usr/share/doc/python3-lmfit/html/examples/example_fit_with_algebraic_constraint.html", "source2": "./usr/share/doc/python3-lmfit/html/examples/example_fit_with_algebraic_constraint.html", "unified_diff": "@@ -210,15 +210,15 @@\n     C(g_sigma, total_amplitude)        = -0.4115\n     C(g_center, line_intercept)        = +0.3868\n     C(g_amplitude, line_intercept)     = +0.1834\n     C(g_amplitude, line_slope)         = +0.1825\n     C(g_sigma, line_slope)             = +0.1739\n </pre></div>\n </div>\n-<p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (0 minutes 0.318 seconds)</p>\n+<p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (0 minutes 1.516 seconds)</p>\n <div class=\"sphx-glr-footer sphx-glr-footer-example docutils container\" id=\"sphx-glr-download-examples-example-fit-with-algebraic-constraint-py\">\n <div class=\"sphx-glr-download sphx-glr-download-jupyter docutils container\">\n <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>\n </div>\n <div class=\"sphx-glr-download sphx-glr-download-python docutils container\">\n <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>\n </div>\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -106,15 +106,15 @@\n     C(g_amplitude, total_amplitude)    = -0.6115\n     C(line_intercept, total_amplitude) = -0.5883\n     C(g_sigma, total_amplitude)        = -0.4115\n     C(g_center, line_intercept)        = +0.3868\n     C(g_amplitude, line_intercept)     = +0.1834\n     C(g_amplitude, line_slope)         = +0.1825\n     C(g_sigma, line_slope)             = +0.1739\n-T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 0.318 seconds)\n+T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 1.516 seconds)\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bJ_\bu_\bp_\by_\bt_\be_\br_\b _\bn_\bo_\bt_\be_\bb_\bo_\bo_\bk_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bf_\bi_\bt_\b__\bw_\bi_\bt_\bh_\b__\ba_\bl_\bg_\be_\bb_\br_\ba_\bi_\bc_\b__\bc_\bo_\bn_\bs_\bt_\br_\ba_\bi_\bn_\bt_\b._\bi_\bp_\by_\bn_\bb\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bP_\by_\bt_\bh_\bo_\bn_\b _\bs_\bo_\bu_\br_\bc_\be_\b _\bc_\bo_\bd_\be_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bf_\bi_\bt_\b__\bw_\bi_\bt_\bh_\b__\ba_\bl_\bg_\be_\bb_\br_\ba_\bi_\bc_\b__\bc_\bo_\bn_\bs_\bt_\br_\ba_\bi_\bn_\bt_\b._\bp_\by\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bz_\bi_\bp_\bp_\be_\bd_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bf_\bi_\bt_\b__\bw_\bi_\bt_\bh_\b__\ba_\bl_\bg_\be_\bb_\br_\ba_\bi_\bc_\b__\bc_\bo_\bn_\bs_\bt_\br_\ba_\bi_\bn_\bt_\b._\bz_\bi_\bp\n _\bG_\ba_\bl_\bl_\be_\br_\by_\b _\bg_\be_\bn_\be_\br_\ba_\bt_\be_\bd_\b _\bb_\by_\b _\bS_\bp_\bh_\bi_\bn_\bx_\b-_\bG_\ba_\bl_\bl_\be_\br_\by\n *\b**\b**\b**\b* N\bNa\bav\bvi\big\bga\bat\bti\bio\bon\bn *\b**\b**\b**\b*\n     * _\bi_\bn_\bd_\be_\bx\n     * _\bn_\be_\bx_\bt |\n"}]}, {"source1": "./usr/share/doc/python3-lmfit/html/examples/example_fit_with_bounds.html", "source2": "./usr/share/doc/python3-lmfit/html/examples/example_fit_with_bounds.html", "unified_diff": "@@ -208,15 +208,15 @@\n </div>\n <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>\n <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>\n <span class=\"n\">plt</span><span class=\"o\">.</span><span class=\"n\">legend</span><span class=\"p\">()</span>\n <span class=\"n\">plt</span><span class=\"o\">.</span><span class=\"n\">show</span><span class=\"p\">()</span>\n </pre></div>\n </div>\n-<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 0.307 seconds)</p>\n+<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 1.207 seconds)</p>\n <div class=\"sphx-glr-footer sphx-glr-footer-example docutils container\" id=\"sphx-glr-download-examples-example-fit-with-bounds-py\">\n <div class=\"sphx-glr-download sphx-glr-download-jupyter docutils container\">\n <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>\n </div>\n <div class=\"sphx-glr-download sphx-glr-download-python docutils container\">\n <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>\n </div>\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -91,15 +91,15 @@\n   | decay    | +0.5757  | -0.0404  | -0.0502  | +1.0000  |\n   +----------+----------+----------+----------+----------+\n plt.plot(x, data, 'o', label='data')\n plt.plot(x, fit, label='best fit')\n plt.legend()\n plt.show()\n [example fit with bounds]\n-T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 0.307 seconds)\n+T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 1.207 seconds)\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bJ_\bu_\bp_\by_\bt_\be_\br_\b _\bn_\bo_\bt_\be_\bb_\bo_\bo_\bk_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bf_\bi_\bt_\b__\bw_\bi_\bt_\bh_\b__\bb_\bo_\bu_\bn_\bd_\bs_\b._\bi_\bp_\by_\bn_\bb\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bP_\by_\bt_\bh_\bo_\bn_\b _\bs_\bo_\bu_\br_\bc_\be_\b _\bc_\bo_\bd_\be_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bf_\bi_\bt_\b__\bw_\bi_\bt_\bh_\b__\bb_\bo_\bu_\bn_\bd_\bs_\b._\bp_\by\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bz_\bi_\bp_\bp_\be_\bd_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bf_\bi_\bt_\b__\bw_\bi_\bt_\bh_\b__\bb_\bo_\bu_\bn_\bd_\bs_\b._\bz_\bi_\bp\n _\bG_\ba_\bl_\bl_\be_\br_\by_\b _\bg_\be_\bn_\be_\br_\ba_\bt_\be_\bd_\b _\bb_\by_\b _\bS_\bp_\bh_\bi_\bn_\bx_\b-_\bG_\ba_\bl_\bl_\be_\br_\by\n *\b**\b**\b**\b* N\bNa\bav\bvi\big\bga\bat\bti\bio\bon\bn *\b**\b**\b**\b*\n     * _\bi_\bn_\bd_\be_\bx\n     * _\bn_\be_\bx_\bt |\n"}]}, {"source1": "./usr/share/doc/python3-lmfit/html/examples/example_fit_with_derivfunc.html", "source2": "./usr/share/doc/python3-lmfit/html/examples/example_fit_with_derivfunc.html", "unified_diff": "@@ -214,15 +214,15 @@\n both methods:</p>\n <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>\n <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>\n <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>\n <span class=\"n\">plt</span><span class=\"o\">.</span><span class=\"n\">legend</span><span class=\"p\">()</span>\n </pre></div>\n </div>\n-<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 0.288 seconds)</p>\n+<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 1.287 seconds)</p>\n <div class=\"sphx-glr-footer sphx-glr-footer-example docutils container\" id=\"sphx-glr-download-examples-example-fit-with-derivfunc-py\">\n <div class=\"sphx-glr-download sphx-glr-download-jupyter docutils container\">\n <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>\n </div>\n <div class=\"sphx-glr-download sphx-glr-download-python docutils container\">\n <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>\n </div>\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -100,15 +100,15 @@\n and the best-fit to the synthetic data (with added noise) is the same for both\n methods:\n plt.plot(x, data, 'o', label='data')\n plt.plot(x, fit1, label='with analytical derivative')\n plt.plot(x, fit2, '--', label='without analytical derivative')\n plt.legend()\n [example fit with derivfunc]\n-T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 0.288 seconds)\n+T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 1.287 seconds)\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bJ_\bu_\bp_\by_\bt_\be_\br_\b _\bn_\bo_\bt_\be_\bb_\bo_\bo_\bk_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bf_\bi_\bt_\b__\bw_\bi_\bt_\bh_\b__\bd_\be_\br_\bi_\bv_\bf_\bu_\bn_\bc_\b._\bi_\bp_\by_\bn_\bb\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bP_\by_\bt_\bh_\bo_\bn_\b _\bs_\bo_\bu_\br_\bc_\be_\b _\bc_\bo_\bd_\be_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bf_\bi_\bt_\b__\bw_\bi_\bt_\bh_\b__\bd_\be_\br_\bi_\bv_\bf_\bu_\bn_\bc_\b._\bp_\by\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bz_\bi_\bp_\bp_\be_\bd_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bf_\bi_\bt_\b__\bw_\bi_\bt_\bh_\b__\bd_\be_\br_\bi_\bv_\bf_\bu_\bn_\bc_\b._\bz_\bi_\bp\n _\bG_\ba_\bl_\bl_\be_\br_\by_\b _\bg_\be_\bn_\be_\br_\ba_\bt_\be_\bd_\b _\bb_\by_\b _\bS_\bp_\bh_\bi_\bn_\bx_\b-_\bG_\ba_\bl_\bl_\be_\br_\by\n *\b**\b**\b**\b* N\bNa\bav\bvi\big\bga\bat\bti\bio\bon\bn *\b**\b**\b**\b*\n     * _\bi_\bn_\bd_\be_\bx\n     * _\bn_\be_\bx_\bt |\n"}]}, {"source1": "./usr/share/doc/python3-lmfit/html/examples/example_fit_with_inequality.html", "source2": "./usr/share/doc/python3-lmfit/html/examples/example_fit_with_inequality.html", "unified_diff": "@@ -200,15 +200,15 @@\n <p>and figure:</p>\n <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>\n <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>\n <span class=\"n\">plt</span><span class=\"o\">.</span><span class=\"n\">legend</span><span class=\"p\">()</span>\n <span class=\"n\">plt</span><span class=\"o\">.</span><span class=\"n\">show</span><span class=\"p\">()</span>\n </pre></div>\n </div>\n-<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 0.294 seconds)</p>\n+<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 1.336 seconds)</p>\n <div class=\"sphx-glr-footer sphx-glr-footer-example docutils container\" id=\"sphx-glr-download-examples-example-fit-with-inequality-py\">\n <div class=\"sphx-glr-download sphx-glr-download-jupyter docutils container\">\n <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>\n </div>\n <div class=\"sphx-glr-download sphx-glr-download-python docutils container\">\n <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>\n </div>\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -84,15 +84,15 @@\n     C(cen_g, wid_g)      = +0.1546\n and figure:\n plt.plot(x, data, 'o')\n plt.plot(x, best_fit, '--', label='best fit')\n plt.legend()\n plt.show()\n [example fit with inequality]\n-T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 0.294 seconds)\n+T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 1.336 seconds)\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bJ_\bu_\bp_\by_\bt_\be_\br_\b _\bn_\bo_\bt_\be_\bb_\bo_\bo_\bk_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bf_\bi_\bt_\b__\bw_\bi_\bt_\bh_\b__\bi_\bn_\be_\bq_\bu_\ba_\bl_\bi_\bt_\by_\b._\bi_\bp_\by_\bn_\bb\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bP_\by_\bt_\bh_\bo_\bn_\b _\bs_\bo_\bu_\br_\bc_\be_\b _\bc_\bo_\bd_\be_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bf_\bi_\bt_\b__\bw_\bi_\bt_\bh_\b__\bi_\bn_\be_\bq_\bu_\ba_\bl_\bi_\bt_\by_\b._\bp_\by\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bz_\bi_\bp_\bp_\be_\bd_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bf_\bi_\bt_\b__\bw_\bi_\bt_\bh_\b__\bi_\bn_\be_\bq_\bu_\ba_\bl_\bi_\bt_\by_\b._\bz_\bi_\bp\n _\bG_\ba_\bl_\bl_\be_\br_\by_\b _\bg_\be_\bn_\be_\br_\ba_\bt_\be_\bd_\b _\bb_\by_\b _\bS_\bp_\bh_\bi_\bn_\bx_\b-_\bG_\ba_\bl_\bl_\be_\br_\by\n *\b**\b**\b**\b* N\bNa\bav\bvi\big\bga\bat\bti\bio\bon\bn *\b**\b**\b**\b*\n     * _\bi_\bn_\bd_\be_\bx\n     * _\bn_\be_\bx_\bt |\n"}]}, {"source1": "./usr/share/doc/python3-lmfit/html/examples/example_reduce_fcn.html", "source2": "./usr/share/doc/python3-lmfit/html/examples/example_reduce_fcn.html", "unified_diff": "@@ -237,15 +237,15 @@\n <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>\n <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>\n <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>\n <span class=\"n\">plt</span><span class=\"o\">.</span><span class=\"n\">legend</span><span class=\"p\">()</span>\n <span class=\"n\">plt</span><span class=\"o\">.</span><span class=\"n\">show</span><span class=\"p\">()</span>\n </pre></div>\n </div>\n-<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 0.360 seconds)</p>\n+<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 1.483 seconds)</p>\n <div class=\"sphx-glr-footer sphx-glr-footer-example docutils container\" id=\"sphx-glr-download-examples-example-reduce-fcn-py\">\n <div class=\"sphx-glr-download sphx-glr-download-jupyter docutils container\">\n <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>\n </div>\n <div class=\"sphx-glr-download sphx-glr-download-python docutils container\">\n <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>\n </div>\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -118,15 +118,15 @@\n plt.plot(x, y, 'o', label='true function')\n plt.plot(x, yn, '--*', label='with noise+outliers')\n plt.plot(x, yn+o1.residual, '-', label='sum of squares fit')\n plt.plot(x, yn+o2.residual, '-', label='robust fit')\n plt.legend()\n plt.show()\n [example reduce fcn]\n-T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 0.360 seconds)\n+T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 1.483 seconds)\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bJ_\bu_\bp_\by_\bt_\be_\br_\b _\bn_\bo_\bt_\be_\bb_\bo_\bo_\bk_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\br_\be_\bd_\bu_\bc_\be_\b__\bf_\bc_\bn_\b._\bi_\bp_\by_\bn_\bb\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bP_\by_\bt_\bh_\bo_\bn_\b _\bs_\bo_\bu_\br_\bc_\be_\b _\bc_\bo_\bd_\be_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\br_\be_\bd_\bu_\bc_\be_\b__\bf_\bc_\bn_\b._\bp_\by\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bz_\bi_\bp_\bp_\be_\bd_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\br_\be_\bd_\bu_\bc_\be_\b__\bf_\bc_\bn_\b._\bz_\bi_\bp\n _\bG_\ba_\bl_\bl_\be_\br_\by_\b _\bg_\be_\bn_\be_\br_\ba_\bt_\be_\bd_\b _\bb_\by_\b _\bS_\bp_\bh_\bi_\bn_\bx_\b-_\bG_\ba_\bl_\bl_\be_\br_\by\n *\b**\b**\b**\b* N\bNa\bav\bvi\big\bga\bat\bti\bio\bon\bn *\b**\b**\b**\b*\n     * _\bi_\bn_\bd_\be_\bx\n     * _\bn_\be_\bx_\bt |\n"}]}, {"source1": "./usr/share/doc/python3-lmfit/html/examples/example_sympy.html", "source2": "./usr/share/doc/python3-lmfit/html/examples/example_sympy.html", "unified_diff": "@@ -196,15 +196,15 @@\n <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>\n <span class=\"n\">res2</span><span class=\"o\">.</span><span class=\"n\">plot_fit</span><span class=\"p\">()</span>\n <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>\n <span class=\"n\">plt</span><span class=\"o\">.</span><span class=\"n\">legend</span><span class=\"p\">()</span>\n <span class=\"n\">plt</span><span class=\"o\">.</span><span class=\"n\">show</span><span class=\"p\">()</span>\n </pre></div>\n </div>\n-<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 1.346 seconds)</p>\n+<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 4.358 seconds)</p>\n <div class=\"sphx-glr-footer sphx-glr-footer-example docutils container\" id=\"sphx-glr-download-examples-example-sympy-py\">\n <div class=\"sphx-glr-download sphx-glr-download-jupyter docutils container\">\n <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>\n </div>\n <div class=\"sphx-glr-download sphx-glr-download-python docutils container\">\n <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>\n </div>\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -80,15 +80,15 @@\n param2_values = dict(x=x, A1=2, sigma1=1, xc1=2, xc2=5, xw=4, B=5)\n res2 = lm_mod.fit(data=yn, **param2_values)\n res2.plot_fit()\n plt.plot(x, y, label='true')\n plt.legend()\n plt.show()\n [Model(_lambdifygenerated)]\n-T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 1.346 seconds)\n+T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 4.358 seconds)\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bJ_\bu_\bp_\by_\bt_\be_\br_\b _\bn_\bo_\bt_\be_\bb_\bo_\bo_\bk_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bs_\by_\bm_\bp_\by_\b._\bi_\bp_\by_\bn_\bb\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bP_\by_\bt_\bh_\bo_\bn_\b _\bs_\bo_\bu_\br_\bc_\be_\b _\bc_\bo_\bd_\be_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bs_\by_\bm_\bp_\by_\b._\bp_\by\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bz_\bi_\bp_\bp_\be_\bd_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bs_\by_\bm_\bp_\by_\b._\bz_\bi_\bp\n _\bG_\ba_\bl_\bl_\be_\br_\by_\b _\bg_\be_\bn_\be_\br_\ba_\bt_\be_\bd_\b _\bb_\by_\b _\bS_\bp_\bh_\bi_\bn_\bx_\b-_\bG_\ba_\bl_\bl_\be_\br_\by\n *\b**\b**\b**\b* N\bNa\bav\bvi\big\bga\bat\bti\bio\bon\bn *\b**\b**\b**\b*\n     * _\bi_\bn_\bd_\be_\bx\n     * _\bn_\be_\bx_\bt |\n"}]}, {"source1": "./usr/share/doc/python3-lmfit/html/examples/example_two_dimensional_peak.html", "source2": "./usr/share/doc/python3-lmfit/html/examples/example_two_dimensional_peak.html", "unified_diff": "@@ -350,15 +350,15 @@\n <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>\n     <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>\n     <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>\n <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>\n <span class=\"n\">plt</span><span class=\"o\">.</span><span class=\"n\">show</span><span class=\"p\">()</span>\n </pre></div>\n </div>\n-<img src=\"../_images/sphx_glr_example_two_dimensional_peak_004.png\" srcset=\"../_images/sphx_glr_example_two_dimensional_peak_004.png, ../_images/sphx_glr_example_two_dimensional_peak_004_3_00x.png 3.00x\" alt=\"Data, Fit, Data - Fit\" class = \"sphx-glr-single-img\"/><p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (0 minutes 3.347 seconds)</p>\n+<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 13.247 seconds)</p>\n <div class=\"sphx-glr-footer sphx-glr-footer-example docutils container\" id=\"sphx-glr-download-examples-example-two-dimensional-peak-py\">\n <div class=\"sphx-glr-download sphx-glr-download-jupyter docutils container\">\n <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>\n </div>\n <div class=\"sphx-glr-download sphx-glr-download-python docutils container\">\n <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>\n </div>\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -219,15 +219,15 @@\n \n for ax in axs.ravel():\n     ax.set_xlabel('x')\n     ax.set_ylabel('y')\n axs[1, 1].remove()\n plt.show()\n [Data, Fit, Data - Fit]\n-T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 3.347 seconds)\n+T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 13.247 seconds)\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bJ_\bu_\bp_\by_\bt_\be_\br_\b _\bn_\bo_\bt_\be_\bb_\bo_\bo_\bk_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bt_\bw_\bo_\b__\bd_\bi_\bm_\be_\bn_\bs_\bi_\bo_\bn_\ba_\bl_\b__\bp_\be_\ba_\bk_\b._\bi_\bp_\by_\bn_\bb\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bP_\by_\bt_\bh_\bo_\bn_\b _\bs_\bo_\bu_\br_\bc_\be_\b _\bc_\bo_\bd_\be_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bt_\bw_\bo_\b__\bd_\bi_\bm_\be_\bn_\bs_\bi_\bo_\bn_\ba_\bl_\b__\bp_\be_\ba_\bk_\b._\bp_\by\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bz_\bi_\bp_\bp_\be_\bd_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bt_\bw_\bo_\b__\bd_\bi_\bm_\be_\bn_\bs_\bi_\bo_\bn_\ba_\bl_\b__\bp_\be_\ba_\bk_\b._\bz_\bi_\bp\n _\bG_\ba_\bl_\bl_\be_\br_\by_\b _\bg_\be_\bn_\be_\br_\ba_\bt_\be_\bd_\b _\bb_\by_\b _\bS_\bp_\bh_\bi_\bn_\bx_\b-_\bG_\ba_\bl_\bl_\be_\br_\by\n *\b**\b**\b**\b* N\bNa\bav\bvi\big\bga\bat\bti\bio\bon\bn *\b**\b**\b**\b*\n     * _\bi_\bn_\bd_\be_\bx\n     * _\bn_\be_\bx_\bt |\n"}]}, {"source1": "./usr/share/doc/python3-lmfit/html/examples/example_uncertainties_y_and_x.html", "source2": "./usr/share/doc/python3-lmfit/html/examples/example_uncertainties_y_and_x.html", "unified_diff": "@@ -288,15 +288,15 @@\n <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>\n <span class=\"n\">plt</span><span class=\"o\">.</span><span class=\"n\">legend</span><span class=\"p\">()</span>\n <span class=\"n\">plt</span><span class=\"o\">.</span><span class=\"n\">show</span><span class=\"p\">()</span>\n \n <span class=\"c1\"># # &lt;end examples/doc_uncertainties_in_x_and_y.py&gt;</span>\n </pre></div>\n </div>\n-<p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (0 minutes 0.295 seconds)</p>\n+<p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (0 minutes 1.006 seconds)</p>\n <div class=\"sphx-glr-footer sphx-glr-footer-example docutils container\" id=\"sphx-glr-download-examples-example-uncertainties-y-and-x-py\">\n <div class=\"sphx-glr-download sphx-glr-download-jupyter docutils container\">\n <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>\n </div>\n <div class=\"sphx-glr-download sphx-glr-download-python docutils container\">\n <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>\n </div>\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -177,15 +177,15 @@\n plt.plot(xtrue, ytrue, '-+', label='true data')\n plt.plot(xdat, bestfit1, label='fit, no x error')\n plt.plot(xdat, bestfit2, label='fit, with x error')\n plt.legend()\n plt.show()\n \n # # <end examples/doc_uncertainties_in_x_and_y.py>\n-T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 0.295 seconds)\n+T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 1.006 seconds)\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bJ_\bu_\bp_\by_\bt_\be_\br_\b _\bn_\bo_\bt_\be_\bb_\bo_\bo_\bk_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bu_\bn_\bc_\be_\br_\bt_\ba_\bi_\bn_\bt_\bi_\be_\bs_\b__\by_\b__\ba_\bn_\bd_\b__\bx_\b._\bi_\bp_\by_\bn_\bb\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bP_\by_\bt_\bh_\bo_\bn_\b _\bs_\bo_\bu_\br_\bc_\be_\b _\bc_\bo_\bd_\be_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bu_\bn_\bc_\be_\br_\bt_\ba_\bi_\bn_\bt_\bi_\be_\bs_\b__\by_\b__\ba_\bn_\bd_\b__\bx_\b._\bp_\by\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bz_\bi_\bp_\bp_\be_\bd_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bu_\bn_\bc_\be_\br_\bt_\ba_\bi_\bn_\bt_\bi_\be_\bs_\b__\by_\b__\ba_\bn_\bd_\b__\bx_\b._\bz_\bi_\bp\n _\bG_\ba_\bl_\bl_\be_\br_\by_\b _\bg_\be_\bn_\be_\br_\ba_\bt_\be_\bd_\b _\bb_\by_\b _\bS_\bp_\bh_\bi_\bn_\bx_\b-_\bG_\ba_\bl_\bl_\be_\br_\by\n *\b**\b**\b**\b* N\bNa\bav\bvi\big\bga\bat\bti\bio\bon\bn *\b**\b**\b**\b*\n     * _\bi_\bn_\bd_\be_\bx\n     * _\bn_\be_\bx_\bt |\n"}]}, {"source1": "./usr/share/doc/python3-lmfit/html/examples/example_use_pandas.html", "source2": "./usr/share/doc/python3-lmfit/html/examples/example_use_pandas.html", "unified_diff": "@@ -175,15 +175,15 @@\n     C(amplitude, sigma) = +0.7087\n </pre></div>\n </div>\n <p>and plot below:</p>\n <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>\n </pre></div>\n </div>\n-<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 0.330 seconds)</p>\n+<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 1.398 seconds)</p>\n <div class=\"sphx-glr-footer sphx-glr-footer-example docutils container\" id=\"sphx-glr-download-examples-example-use-pandas-py\">\n <div class=\"sphx-glr-download sphx-glr-download-jupyter docutils container\">\n <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>\n </div>\n <div class=\"sphx-glr-download sphx-glr-download-python docutils container\">\n <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>\n </div>\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -61,15 +61,15 @@\n     height:     10.7899571 +/- 0.17160652 (1.59%) == '0.3183099*amplitude/max\n (1e-15, sigma)'\n [[Correlations]] (unreported correlations are < 0.100)\n     C(amplitude, sigma) = +0.7087\n and plot below:\n result.plot_fit()\n [Model(lorentzian)]\n-T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 0.330 seconds)\n+T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (0 minutes 1.398 seconds)\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bJ_\bu_\bp_\by_\bt_\be_\br_\b _\bn_\bo_\bt_\be_\bb_\bo_\bo_\bk_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bu_\bs_\be_\b__\bp_\ba_\bn_\bd_\ba_\bs_\b._\bi_\bp_\by_\bn_\bb\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bP_\by_\bt_\bh_\bo_\bn_\b _\bs_\bo_\bu_\br_\bc_\be_\b _\bc_\bo_\bd_\be_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bu_\bs_\be_\b__\bp_\ba_\bn_\bd_\ba_\bs_\b._\bp_\by\n _\bD_\bo_\bw_\bn_\bl_\bo_\ba_\bd_\b _\bz_\bi_\bp_\bp_\be_\bd_\b:_\b _\be_\bx_\ba_\bm_\bp_\bl_\be_\b__\bu_\bs_\be_\b__\bp_\ba_\bn_\bd_\ba_\bs_\b._\bz_\bi_\bp\n _\bG_\ba_\bl_\bl_\be_\br_\by_\b _\bg_\be_\bn_\be_\br_\ba_\bt_\be_\bd_\b _\bb_\by_\b _\bS_\bp_\bh_\bi_\bn_\bx_\b-_\bG_\ba_\bl_\bl_\be_\br_\by\n *\b**\b**\b**\b* N\bNa\bav\bvi\big\bga\bat\bti\bio\bon\bn *\b**\b**\b**\b*\n     * _\bi_\bn_\bd_\be_\bx\n     * _\bn_\be_\bx_\bt |\n"}]}, {"source1": "./usr/share/doc/python3-lmfit/html/searchindex.js", "source2": "./usr/share/doc/python3-lmfit/html/searchindex.js", "unified_diff": null, "details": [{"source1": "js-beautify {}", "source2": "js-beautify {}", "unified_diff": "@@ -1319,14 +1319,15 @@\n         \"00482\": 9,\n         \"00482312\": 9,\n         \"005\": 7,\n         \"00512077\": 12,\n         \"00546\": 9,\n         \"00548\": 9,\n         \"00590174\": 10,\n+        \"006\": 23,\n         \"006e\": 8,\n         \"00818\": 9,\n         \"00822\": 9,\n         \"00964\": 9,\n         \"00965\": 9,\n         \"00978382\": 7,\n         \"00996363\": 17,\n@@ -1385,15 +1386,15 @@\n         \"02500000\": 7,\n         \"02528769\": 15,\n         \"02563850\": 7,\n         \"02603721\": 24,\n         \"02757149\": 16,\n         \"0275e\": 17,\n         \"02884573\": 22,\n-        \"03\": [2, 7, 14, 15, 17],\n+        \"03\": [2, 7, 13, 14, 15, 17],\n         \"0309e\": 8,\n         \"03107114\": 6,\n         \"031e\": 8,\n         \"03658367\": 7,\n         \"03667\": 8,\n         \"0373e\": 15,\n         \"03805940\": 7,\n@@ -1426,14 +1427,15 @@\n         \"06\": [11, 23, 35],\n         \"0625\": 7,\n         \"06284916\": 22,\n         \"06299\": 5,\n         \"06299118\": 5,\n         \"06299127\": 5,\n         \"06306004\": 5,\n+        \"067\": 13,\n         \"0672212\": 15,\n         \"068\": 8,\n         \"0700\": 17,\n         \"0708269\": 9,\n         \"07083\": 9,\n         \"0726e\": 9,\n         \"0737250\": 24,\n@@ -1475,23 +1477,24 @@\n         \"10392445\": 20,\n         \"10496396\": 19,\n         \"106\": 7,\n         \"107\": 20,\n         \"10725864\": 5,\n         \"1077\": 15,\n         \"1092\": 14,\n-        \"11\": [1, 2, 7, 13, 15, 19, 28, 35],\n+        \"11\": [1, 2, 6, 7, 13, 15, 19, 28, 35],\n         \"110\": 7,\n         \"1108\": 8,\n         \"1111\": 14,\n         \"11125903\": 16,\n         \"11134755\": 5,\n         \"1121\": 15,\n         \"11270194\": 5,\n         \"11287\": 22,\n+        \"113\": 15,\n         \"11301\": 17,\n         \"115\": 7,\n         \"11643510\": 14,\n         \"11741198\": 22,\n         \"119\": 7,\n         \"12\": [1, 4, 6, 13, 16, 18, 20, 29],\n         \"120\": 16,\n@@ -1509,15 +1512,15 @@\n         \"12528141463621\": 8,\n         \"12633327\": 23,\n         \"1266\": 22,\n         \"1277\": 9,\n         \"12785036\": 27,\n         \"129\": 7,\n         \"12941588\": 22,\n-        \"13\": [1, 4, 7, 9, 10, 15, 17, 23, 24, 28, 29],\n+        \"13\": [1, 4, 7, 9, 10, 15, 17, 22, 23, 24, 28, 29],\n         \"130\": 20,\n         \"13089969\": 7,\n         \"1309\": 7,\n         \"1324\": 1,\n         \"133\": [8, 23],\n         \"13340536\": 24,\n         \"1338\": 10,\n@@ -1554,15 +1557,15 @@\n         \"16\": [1, 6, 7, 9, 15, 22, 35],\n         \"1630\": 23,\n         \"1647\": 9,\n         \"1651\": 19,\n         \"1655\": 23,\n         \"1670\": 9,\n         \"1674767\": 20,\n-        \"17\": [5, 9, 12, 23, 35],\n+        \"17\": [5, 12, 23, 35],\n         \"1715\": 23,\n         \"17160652\": 24,\n         \"1720\": 11,\n         \"1731192\": 23,\n         \"1739\": 16,\n         \"175\": 1,\n         \"1762e\": 23,\n@@ -1586,19 +1589,20 @@\n         \"19\": [1, 4, 14, 16, 17, 23, 29],\n         \"19011498\": 6,\n         \"192\": [7, 24],\n         \"1924\": 23,\n         \"1936\": 19,\n         \"19401928\": 11,\n         \"19580\": 12,\n+        \"196\": 12,\n         \"199\": 7,\n         \"1d\": [2, 14, 15, 35],\n         \"1e\": [2, 15, 16, 22, 24, 28],\n         \"1j\": 8,\n-        \"2\": [0, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33],\n+        \"2\": [0, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33],\n         \"20\": [1, 6, 8, 9, 14, 15, 16, 17, 19, 22, 24, 28, 35],\n         \"200\": [1, 2, 5, 8, 14, 15, 24, 26, 33],\n         \"2000\": 28,\n         \"200000\": 28,\n         \"2001\": 30,\n         \"2002\": 30,\n         \"2003\": 30,\n@@ -1610,15 +1614,15 @@\n         \"2022\": [4, 29, 30],\n         \"2023\": [4, 29],\n         \"2024\": [4, 29],\n         \"2025\": [4, 29],\n         \"2037\": 23,\n         \"20417043e\": 7,\n         \"20618\": 22,\n-        \"207\": 7,\n+        \"207\": [7, 11, 17],\n         \"208\": 7,\n         \"20925819\": 16,\n         \"20al\": 28,\n         \"20amp\": 28,\n         \"20constrain\": 28,\n         \"20et\": 28,\n         \"20for\": 28,\n@@ -1649,134 +1653,127 @@\n         \"242\": 7,\n         \"24259071\": 5,\n         \"24334895\": 5,\n         \"24410753\": 17,\n         \"2460\": 23,\n         \"24638\": 9,\n         \"2464\": 22,\n-        \"247\": 8,\n+        \"247\": [8, 22],\n         \"2474265369565\": 8,\n         \"24998843\": 7,\n         \"24999772\": 7,\n         \"24999999\": 7,\n-        \"25\": [1, 6, 7, 9, 13, 14, 15, 22, 23, 24, 32],\n+        \"25\": [1, 6, 7, 9, 14, 15, 22, 23, 24, 32],\n         \"250\": [9, 17, 20, 26],\n         \"2500\": 9,\n         \"25370110\": 6,\n         \"25370114\": 6,\n         \"2542\": 15,\n         \"256760\": 23,\n-        \"257\": 10,\n         \"25743367\": 15,\n         \"2575\": 14,\n         \"25755570\": 14,\n         \"26\": [7, 14, 15, 16, 17, 22],\n         \"26179939\": 7,\n         \"263\": 10,\n         \"26503\": 16,\n         \"26606\": 22,\n         \"2664\": 14,\n         \"268\": 10,\n         \"2696\": 15,\n         \"27\": [4, 9, 19, 22, 29],\n+        \"272\": 14,\n         \"2722842\": 19,\n         \"2735\": 23,\n         \"2761\": 19,\n         \"2776438\": 23,\n         \"27s_t\": 1,\n         \"28\": [5, 23],\n         \"28002384\": 5,\n         \"28588\": 12,\n-        \"288\": 18,\n+        \"287\": 18,\n         \"2887\": 16,\n         \"28904676\": 22,\n-        \"29\": 19,\n-        \"290\": 12,\n+        \"29\": [13, 19],\n         \"2913\": 16,\n         \"2919\": 14,\n         \"2922\": 15,\n-        \"294\": 19,\n         \"294636\": 8,\n-        \"295\": [1, 23],\n+        \"295\": 1,\n         \"2951\": 19,\n         \"2968\": 14,\n         \"29j\": 8,\n         \"2_\": [2, 28],\n         \"2_0\": 2,\n         \"2_f\": 2,\n         \"2f\": 13,\n         \"2j\": 8,\n         \"2jq\": 8,\n-        \"3\": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 26, 28, 29, 30, 32, 33],\n+        \"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],\n         \"30\": [9, 10, 16, 22],\n         \"300\": [1, 13, 18, 26, 35],\n         \"301\": 7,\n         \"30195609\": 15,\n         \"3037\": 17,\n-        \"304\": 14,\n         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      \"3539e\": 8,\n         \"35409534\": 22,\n         \"3548\": 1,\n         \"3548200\": [15, 16, 22],\n+        \"358\": 21,\n         \"3585\": 18,\n         \"359\": 13,\n         \"36\": 14,\n-        \"360\": 20,\n         \"3646\": 17,\n         \"36481425\": 16,\n         \"3688\": 15,\n         \"37\": [6, 14, 17, 22],\n-        \"370\": 15,\n         \"3742\": 14,\n         \"375000\": 7,\n         \"3796\": 19,\n         \"38\": [13, 22, 23],\n         \"3823\": 22,\n         \"3868\": 16,\n         \"39\": [13, 18, 23, 24],\n         \"39269908\": 7,\n+        \"398\": 24,\n         \"3989423\": [15, 16],\n         \"3f\": [13, 18],\n         \"4\": [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 26, 29, 30, 32, 33],\n         \"40\": [6, 21],\n         \"401856\": 10,\n         \"404\": 33,\n         \"40552155\": 15,\n@@ -1786,38 +1783,39 @@\n         \"411487\": 11,\n         \"4115\": 16,\n         \"41261441\": 16,\n         \"4131e\": 15,\n         \"416\": 28,\n         \"41851637\": 16,\n         \"4195833\": 22,\n-        \"42\": 5,\n-        \"43\": [13, 23],\n+        \"42\": [5, 9],\n+        \"43\": 23,\n         \"4321\": 17,\n         \"436540\": 20,\n         \"43989663\": 7,\n         \"44\": 7,\n         \"44026387\": 17,\n         \"44044\": 17,\n         \"4411365\": 6,\n         \"4411385\": 6,\n         \"44210577\": 23,\n         \"44581423\": 23,\n         \"45\": [9, 23],\n         \"450\": 11,\n-        \"451\": 5,\n         \"4526504\": 6,\n         \"4572e\": 7,\n         \"46\": [5, 8],\n+        \"462\": 6,\n         \"46229147\": 10,\n         \"46504173\": 19,\n         \"47\": 16,\n         \"478231\": 22,\n         \"48\": [6, 23],\n         \"48130689\": 22,\n+        \"483\": 20,\n         \"486\": 35,\n         \"489\": 35,\n         \"491\": 35,\n         \"492\": 35,\n         \"493\": 35,\n         \"49516158\": 22,\n         \"496\": 35,\n@@ -1830,15 +1828,14 @@\n         \"4f\": 18,\n         \"5\": [1, 2, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 26, 27, 28, 29, 32, 33],\n         \"50\": [7, 9, 13, 14, 15, 18, 23, 24, 27, 28, 33],\n         \"500\": [1, 5, 13, 18],\n         \"50000000e\": 7,\n         \"50000055433\": 8,\n         \"50029616\": 12,\n-        \"502\": 9,\n         \"503\": 35,\n         \"504\": 35,\n         \"50433700\": 14,\n         \"50446887\": 15,\n         \"50569636\": 22,\n         \"506\": 35,\n         \"507\": 35,\n@@ -1847,17 +1844,18 @@\n         \"508878\": 7,\n         \"51074241\": 22,\n         \"51171730\": 9,\n         \"512\": 35,\n         \"512493\": 6,\n         \"51298991\": 10,\n         \"51399\": 22,\n-        \"514\": [11, 35],\n+        \"514\": 35,\n         \"5150\": 8,\n         \"5151\": 8,\n+        \"516\": 16,\n         \"5175\": 8,\n         \"5178641\": 22,\n         \"52\": [6, 11, 12, 16],\n         \"521\": 35,\n         \"52163544\": 19,\n         \"523\": 35,\n         \"52359878\": 7,\n@@ -1891,14 +1889,15 @@\n         \"552\": 35,\n         \"553\": 35,\n         \"554\": 35,\n         \"55438813\": 17,\n         \"556\": 35,\n         \"558\": 35,\n         \"559\": 35,\n+        \"56\": 13,\n         \"560\": 35,\n         \"560626\": 20,\n         \"561\": 35,\n         \"5624928\": 7,\n         \"5625\": 7,\n         \"5626e\": 15,\n         \"5635\": 18,\n@@ -1907,15 +1906,15 @@\n         \"567\": 35,\n         \"569\": 35,\n         \"570\": 35,\n         \"57079633\": 7,\n         \"571\": [7, 35],\n         \"572\": 35,\n         \"573\": 35,\n-        \"574\": 35,\n+        \"574\": [7, 35],\n         \"575\": 35,\n         \"5757\": 17,\n         \"5758\": 9,\n         \"576\": 35,\n         \"5767\": 22,\n         \"5774\": 12,\n         \"578\": 35,\n@@ -2001,41 +2000,41 @@\n         \"65449847\": 7,\n         \"655\": 35,\n         \"6565773\": 10,\n         \"65660\": 16,\n         \"657\": 35,\n         \"658\": 35,\n         \"65902169\": 20,\n+        \"66\": 13,\n         \"6605e\": 14,\n         \"662\": 35,\n         \"663\": 35,\n         \"664\": 35,\n         \"66441\": 9,\n         \"666\": 35,\n         \"666582\": 22,\n         \"667\": 35,\n         \"668\": 35,\n         \"670\": 35,\n         \"673\": 35,\n         \"674\": 35,\n         \"675\": 35,\n-        \"676\": 35,\n+        \"676\": [5, 35],\n         \"677\": 35,\n         \"678\": 35,\n-        \"679\": 13,\n         \"68\": [2, 7, 9],\n         \"68032886\": 15,\n         \"680437\": 7,\n         \"68049261\": 14,\n         \"681\": 35,\n         \"6827\": [2, 32],\n         \"684\": 35,\n         \"6847e\": 12,\n         \"6848e\": 12,\n-        \"685\": [7, 35],\n+        \"685\": 35,\n         \"687\": 35,\n         \"6875\": 7,\n         \"688\": 35,\n         \"689\": 35,\n         \"69\": 16,\n         \"693\": 35,\n         \"694\": 35,\n@@ -2087,22 +2086,22 @@\n         \"747\": 35,\n         \"7475\": 23,\n         \"748\": 35,\n         \"749\": 35,\n         \"7496\": 16,\n         \"74999948\": 7,\n         \"75\": [1, 5, 7],\n-        \"751\": 35,\n+        \"751\": [9, 35],\n         \"753\": 35,\n         \"7533\": 5,\n         \"754\": 35,\n         \"7542\": 5,\n         \"755\": 35,\n         \"7550\": 11,\n-        \"756\": 35,\n+        \"756\": [8, 35],\n         \"757\": 35,\n         \"758\": 35,\n         \"759\": 35,\n         \"76\": [7, 11, 17],\n         \"7603\": 23,\n         \"761\": 35,\n         \"76279753\": 11,\n@@ -2138,23 +2137,23 @@\n         \"8002\": 9,\n         \"80121155\": 12,\n         \"80253515\": 11,\n         \"80253587\": 11,\n         \"803\": 35,\n         \"803875\": 16,\n         \"804\": 35,\n-        \"810\": 35,\n+        \"810\": [10, 35],\n         \"81249979\": 7,\n         \"8125\": 7,\n         \"813\": 35,\n         \"815\": 35,\n         \"816\": 35,\n         \"8188\": 23,\n         \"82\": 7,\n-        \"820\": [8, 35],\n+        \"820\": 35,\n         \"821\": 35,\n         \"824\": 13,\n         \"8241\": 18,\n         \"826\": 35,\n         \"830\": 35,\n         \"8319533\": 15,\n         \"832\": 35,\n@@ -2222,15 +2221,14 @@\n         \"9000\": 8,\n         \"9004e\": 15,\n         \"901\": 35,\n         \"902\": 35,\n         \"904\": 35,\n         \"907\": 35,\n         \"909\": 35,\n-        \"91\": 13,\n         \"913\": 35,\n         \"9137\": 8,\n         \"91629786\": 7,\n         \"9180\": 8,\n         \"9181\": 8,\n         \"92\": [11, 15, 20],\n         \"920308\": 23,\n@@ -2246,15 +2244,14 @@\n         \"932\": 35,\n         \"9320\": 5,\n         \"933\": 35,\n         \"934\": 35,\n         \"935\": 7,\n         \"9353671\": 7,\n         \"937\": 35,\n-        \"939\": 6,\n         \"94\": 7,\n         \"940\": 35,\n         \"94011531\": 23,\n         \"940764\": 22,\n         \"941\": 35,\n         \"9426e\": 14,\n         \"948\": 7,\n"}]}]}]}]}]}