{"diffoscope-json-version": 1, "source1": "/srv/reproducible-results/rbuild-debian/r-b-build.nWsswqzB/b1/lmfit-py_1.3.2-1_i386.changes", "source2": "/srv/reproducible-results/rbuild-debian/r-b-build.nWsswqzB/b2/lmfit-py_1.3.2-1_i386.changes", "unified_diff": null, "details": [{"source1": "Files", "source2": "Files", "unified_diff": "@@ -1,3 +1,3 @@\n \n- 6a5355cf3d4f8e26be7a5bb00919282b 5686788 doc optional python-lmfit-doc_1.3.2-1_all.deb\n+ 9a75334f07d8244fc56cbe34fd512703 5686808 doc optional python-lmfit-doc_1.3.2-1_all.deb\n  fcb8ee326d75115782f90423248b02e2 81400 python optional python3-lmfit_1.3.2-1_all.deb\n"}, {"source1": "python-lmfit-doc_1.3.2-1_all.deb", "source2": "python-lmfit-doc_1.3.2-1_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 2025-02-09 05:14:31.000000 debian-binary\n--rw-r--r--   0        0        0     8304 2025-02-09 05:14:31.000000 control.tar.xz\n--rw-r--r--   0        0        0  5678292 2025-02-09 05:14:31.000000 data.tar.xz\n+-rw-r--r--   0        0        0     8312 2025-02-09 05:14:31.000000 control.tar.xz\n+-rw-r--r--   0        0        0  5678304 2025-02-09 05:14:31.000000 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": "@@ -204,15 +204,15 @@\n -rw-r--r--   0 root         (0) root         (0)    30647 2025-02-09 04:29:33.000000 ./usr/share/doc/python3-lmfit/html/_sources/builtin_models.rst.txt\n -rw-r--r--   0 root         (0) root         (0)    16305 2025-02-09 04:29:33.000000 ./usr/share/doc/python3-lmfit/html/_sources/confidence.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     8110 2025-02-09 04:29:33.000000 ./usr/share/doc/python3-lmfit/html/_sources/constraints.rst.txt\n -rw-r--r--   0 root         (0) root         (0)      223 2025-02-09 04:29:33.000000 ./usr/share/doc/python3-lmfit/html/_sources/contents.rst.txt\n drwxr-xr-x   0 root         (0) root         (0)        0 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/\n -rw-r--r--   0 root         (0) root         (0)    12475 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_Model_interface.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     5523 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_basinhopping.rst.txt\n--rw-r--r--   0 root         (0) root         (0)    28836 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_brute.rst.txt\n+-rw-r--r--   0 root         (0) root         (0)    28835 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_brute.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     9381 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_complex_resonator_model.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     8273 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_confidence_interval.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     6740 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_detect_outliers.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     5253 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_diffev.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     3967 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_expression_model.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     6146 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_multi_datasets.rst.txt\n -rw-r--r--   0 root         (0) root         (0)     5682 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_with_algebraic_constraint.rst.txt\n@@ -260,15 +260,15 @@\n -rw-r--r--   0 root         (0) root         (0)   180712 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/builtin_models.html\n -rw-r--r--   0 root         (0) root         (0)    40516 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/confidence.html\n -rw-r--r--   0 root         (0) root         (0)    20353 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/constraints.html\n -rw-r--r--   0 root         (0) root         (0)    36192 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/contents.html\n drwxr-xr-x   0 root         (0) root         (0)        0 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/examples/\n -rw-r--r--   0 root         (0) root         (0)    35155 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/examples/example_Model_interface.html\n -rw-r--r--   0 root         (0) root         (0)    22362 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/examples/example_basinhopping.html\n--rw-r--r--   0 root         (0) root         (0)    86274 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/examples/example_brute.html\n+-rw-r--r--   0 root         (0) root         (0)    86273 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/examples/example_brute.html\n -rw-r--r--   0 root         (0) root         (0)    35304 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/examples/example_complex_resonator_model.html\n -rw-r--r--   0 root         (0) root         (0)    37592 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/examples/example_confidence_interval.html\n -rw-r--r--   0 root         (0) root         (0)    29672 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/examples/example_detect_outliers.html\n -rw-r--r--   0 root         (0) root         (0)    21531 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/examples/example_diffev.html\n -rw-r--r--   0 root         (0) root         (0)    16602 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/examples/example_expression_model.html\n -rw-r--r--   0 root         (0) root         (0)    25159 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/examples/example_fit_multi_datasets.html\n -rw-r--r--   0 root         (0) root         (0)    20375 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/examples/example_fit_with_algebraic_constraint.html\n@@ -287,15 +287,15 @@\n -rw-r--r--   0 root         (0) root         (0)    25786 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/index.html\n -rw-r--r--   0 root         (0) root         (0)    24441 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/installation.html\n -rw-r--r--   0 root         (0) root         (0)    16721 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/intro.html\n -rw-r--r--   0 root         (0) root         (0)   206627 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/model.html\n -rw-r--r--   0 root         (0) root         (0)     3907 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/objects.inv\n -rw-r--r--   0 root         (0) root         (0)    62962 2025-02-09 05:14:31.000000 ./usr/share/doc/python3-lmfit/html/parameters.html\n -rw-r--r--   0 root         (0) root         (0)   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./usr/share/doc/python3-lmfit/html/_static/doctools.js -> ../../../../javascript/sphinxdoc/1.0/doctools.js\n lrwxrwxrwx   0 root         (0) root         (0)        0 2025-02-09 05:14:31.000000 ./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 2025-02-09 05:14:31.000000 ./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 0.508 seconds)\n+   **Total running time of the script:** (0 minutes 0.885 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": "@@ -63,15 +63,15 @@\n \n     #####################\n     # Fit using basinhopping:\n     [[Model]]\n         Model(sine_decay)\n     [[Fit Statistics]]\n         # fitting method   = basinhopping\n-        # function evals   = 24881\n+        # function evals   = 24896\n         # data points      = 201\n         # variables        = 4\n         chi-square         = 37.4526504\n         reduced chi-square = 0.19011498\n         Akaike info crit   = -329.725713\n         Bayesian info crit = -316.512493\n         R-squared          = 0.97868751\n@@ -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 4.188 seconds)\n+   **Total running time of the script:** (0 minutes 7.708 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 32.336 seconds)\n+   **Total running time of the script:** (1 minutes 4.819 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 0.927 seconds)\n+   **Total running time of the script:** (0 minutes 1.578 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 31.330 seconds)\n+   **Total running time of the script:** (0 minutes 53.176 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 1.383 seconds)\n+   **Total running time of the script:** (0 minutes 2.303 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 0.539 seconds)\n+   **Total running time of the script:** (0 minutes 0.964 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 0.316 seconds)\n+   **Total running time of the script:** (0 minutes 0.551 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_multi_datasets.rst.txt", "source2": "./usr/share/doc/python3-lmfit/html/_sources/examples/example_fit_multi_datasets.rst.txt", "unified_diff": "@@ -207,15 +207,15 @@\n \n \n \n \n \n .. rst-class:: sphx-glr-timing\n \n-   **Total running time of the script:** (0 minutes 0.348 seconds)\n+   **Total running time of the script:** (0 minutes 0.607 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_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 0.351 seconds)\n+   **Total running time of the script:** (0 minutes 0.624 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 0.349 seconds)\n+   **Total running time of the script:** (0 minutes 0.605 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 0.322 seconds)\n+   **Total running time of the script:** (0 minutes 0.548 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 0.323 seconds)\n+   **Total running time of the script:** (0 minutes 0.565 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 0.382 seconds)\n+   **Total running time of the script:** (0 minutes 0.645 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 1.297 seconds)\n+   **Total running time of the script:** (0 minutes 2.151 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 3.554 seconds)\n+   **Total running time of the script:** (0 minutes 7.098 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_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 0.352 seconds)\n+   **Total running time of the script:** (0 minutes 0.593 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 0.508 seconds)</p>\n+<p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (0 minutes 0.885 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 0.508 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 0.885 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": "@@ -160,15 +160,15 @@\n \n #####################\n # Fit using basinhopping:\n [[Model]]\n     Model(sine_decay)\n [[Fit Statistics]]\n     # fitting method   = basinhopping\n-    # function evals   = 24881\n+    # function evals   = 24896\n     # data points      = 201\n     # variables        = 4\n     chi-square         = 37.4526504\n     reduced chi-square = 0.19011498\n     Akaike info crit   = -329.725713\n     Bayesian info crit = -316.512493\n     R-squared          = 0.97868751\n@@ -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 4.188 seconds)</p>\n+<p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (0 minutes 7.708 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": "@@ -54,15 +54,15 @@\n \n #####################\n # Fit using basinhopping:\n [[Model]]\n     Model(sine_decay)\n [[Fit Statistics]]\n     # fitting method   = basinhopping\n-    # function evals   = 24881\n+    # function evals   = 24896\n     # data points      = 201\n     # variables        = 4\n     chi-square         = 37.4526504\n     reduced chi-square = 0.19011498\n     Akaike info crit   = -329.725713\n     Bayesian info crit = -316.512493\n     R-squared          = 0.97868751\n@@ -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 4.188 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 7.708 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 32.336 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 4.819 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 32.336 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 4.819 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 0.927 seconds)</p>\n+<p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (0 minutes 1.578 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 0.927 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 1.578 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 31.330 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 53.176 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 31.330 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 53.176 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 1.383 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 2.303 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 1.383 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 2.303 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 0.539 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 0.964 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:     1.80253517 (init = 2.5)\n     decay:   5.76281261 (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 0.539 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 0.964 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 0.316 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 0.551 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 0.316 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 0.551 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_multi_datasets.html", "source2": "./usr/share/doc/python3-lmfit/html/examples/example_fit_multi_datasets.html", "unified_diff": "@@ -230,15 +230,15 @@\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 0.348 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 0.607 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": "@@ -111,15 +111,15 @@\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 0.348 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 0.607 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_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 0.351 seconds)</p>\n+<p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (0 minutes 0.624 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 0.351 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 0.624 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 0.349 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 0.605 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 0.349 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 0.605 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 0.322 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 0.548 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 0.322 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 0.548 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 0.323 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 0.565 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 0.323 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 0.565 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 0.382 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 0.645 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 0.382 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 0.645 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 1.297 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 2.151 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 1.297 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 2.151 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 3.554 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 7.098 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 3.554 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 7.098 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_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 0.352 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 0.593 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 0.352 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 0.593 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": "@@ -1408,14 +1408,15 @@\n         \"0913\": 5,\n         \"09130423\": 5,\n         \"09130428\": 5,\n         \"09162987\": 7,\n         \"09181809\": 5,\n         \"0920\": 16,\n         \"09723868\": 6,\n+        \"098\": 20,\n         \"09863\": 9,\n         \"09886\": 9,\n         \"0e\": 24,\n         \"1\": [0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30],\n         \"10\": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 30],\n         \"100\": [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 17, 20, 21, 23, 25, 29, 30],\n         \"1000\": [1, 5, 6, 25, 29],\n@@ -1487,15 +1488,15 @@\n         \"14669319\": 5,\n         \"146693193034349\": 5,\n         \"147\": 5,\n         \"14795\": 9,\n         \"14847\": 9,\n         \"15\": [4, 7, 9, 12, 14, 16, 20, 21, 23, 24, 25, 26, 27],\n         \"1500\": 15,\n-        \"151\": 13,\n+        \"151\": [13, 19],\n         \"1530\": 8,\n         \"1530621\": 21,\n         \"1543\": 8,\n         \"15448795\": 5,\n         \"1546\": 17,\n         \"15503770\": 21,\n         \"1591549\": 20,\n@@ -1505,27 +1506,27 @@\n         \"1670\": 9,\n         \"1674767\": 18,\n         \"17\": [5, 12, 32],\n         \"17160652\": 21,\n         \"1720\": 11,\n         \"1739\": 14,\n         \"175\": 1,\n+        \"176\": 9,\n         \"1774\": 20,\n         \"17809725\": 7,\n         \"18\": [5, 7, 11, 32],\n         \"180\": 20,\n         \"1825\": 14,\n         \"1834\": 14,\n         \"1841\": 12,\n         \"1851\": 12,\n         \"18749997\": 7,\n         \"1875\": 7,\n         \"18756\": 15,\n         \"1877635\": 14,\n-        \"188\": 6,\n         \"18965087\": 6,\n         \"19\": [1, 4, 13, 14, 15, 26],\n         \"19011498\": 6,\n         \"192\": [7, 21],\n         \"1936\": 17,\n         \"19401928\": 11,\n         \"19580\": 12,\n@@ -1584,15 +1585,15 @@\n         \"24259071\": 5,\n         \"24334895\": 5,\n         \"24410753\": 15,\n         \"24638\": 9,\n         \"2464\": 20,\n         \"247\": 8,\n         \"2474265369565\": 8,\n-        \"24881\": 6,\n+        \"24896\": 6,\n         \"24998843\": 7,\n         \"24999772\": 7,\n         \"24999999\": 7,\n         \"25\": [1, 6, 7, 9, 13, 20, 21, 29],\n         \"250\": [9, 15, 18, 23],\n         \"2500\": 9,\n         \"25370110\": 6,\n@@ -1618,76 +1619,66 @@\n         \"29\": 17,\n         \"2913\": 14,\n         \"2919\": 13,\n         \"294636\": 8,\n         \"295\": 1,\n         \"2951\": 17,\n         \"2968\": 13,\n-        \"297\": 19,\n         \"2_\": [2, 25],\n         \"2_0\": 2,\n         \"2_f\": 2,\n         \"2j\": 8,\n         \"2jq\": 8,\n         \"3\": [2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 23, 25, 26, 27, 29, 30],\n         \"30\": [9, 10, 14, 20],\n         \"300\": [1, 16, 23, 32],\n         \"301\": 7,\n+        \"303\": 10,\n         \"3037\": 15,\n         \"3046\": 20,\n         \"3055\": 14,\n         \"3058\": 15,\n         \"30899694\": 7,\n-        \"31\": [6, 9],\n+        \"31\": 6,\n         \"310\": 23,\n         \"31007541\": 21,\n         \"3117\": 8,\n         \"31249964\": 7,\n         \"3146\": 8,\n-        \"316\": [6, 12],\n+        \"316\": 6,\n         \"3183099\": [14, 21],\n-        \"32\": [7, 13, 18],\n+        \"32\": [13, 18],\n         \"3200\": 29,\n         \"32192128\": 14,\n-        \"322\": 16,\n-        \"323\": 17,\n         \"32742010\": 13,\n         \"329\": 6,\n         \"32980958\": 9,\n         \"32981\": 9,\n         \"33\": [9, 13, 18],\n-        \"330\": 9,\n         \"33162347\": 18,\n         \"3342\": 20,\n-        \"336\": 7,\n         \"34443083\": 13,\n         \"3445\": 17,\n         \"34458\": 10,\n         \"34544481\": 18,\n-        \"348\": 13,\n-        \"349\": 15,\n         \"35\": 9,\n-        \"351\": 14,\n-        \"352\": 21,\n         \"3539e\": 8,\n         \"35409534\": 20,\n         \"3548\": 1,\n         \"3548200\": [14, 20],\n         \"3585\": 16,\n         \"36\": 13,\n         \"3646\": 15,\n         \"36481425\": 14,\n         \"37\": [6, 13, 15, 20],\n         \"3742\": 13,\n         \"375000\": 7,\n         \"3796\": 17,\n         \"38\": 20,\n-        \"382\": 18,\n         \"3823\": 20,\n-        \"383\": 10,\n         \"3868\": 14,\n         \"39\": [16, 21],\n         \"39269908\": 7,\n         \"3989423\": 14,\n         \"3f\": 16,\n         \"4\": [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18, 19, 20, 23, 26, 27, 29, 30],\n         \"40\": [6, 19],\n@@ -1744,15 +1735,14 @@\n         \"50029616\": 12,\n         \"503\": 32,\n         \"504\": 32,\n         \"50433700\": 13,\n         \"50569636\": 20,\n         \"506\": 32,\n         \"507\": 32,\n-        \"508\": 5,\n         \"5081464\": 18,\n         \"5082\": 8,\n         \"508878\": 7,\n         \"51074241\": 20,\n         \"51171730\": 9,\n         \"512\": 32,\n         \"512493\": 6,\n@@ -1770,93 +1760,96 @@\n         \"52359878\": 7,\n         \"524\": 32,\n         \"526\": 32,\n         \"527\": 32,\n         \"528\": 32,\n         \"5281\": 24,\n         \"529\": 32,\n+        \"53\": 9,\n         \"533\": 32,\n         \"534\": 32,\n         \"5347j\": 8,\n         \"535\": 32,\n         \"536\": 32,\n         \"537781821432\": 8,\n         \"538\": 8,\n-        \"539\": [11, 32],\n+        \"539\": 32,\n         \"540\": 32,\n         \"542\": 32,\n         \"543\": 32,\n         \"545\": 32,\n         \"547\": 32,\n         \"54740777\": 20,\n-        \"548\": 32,\n+        \"548\": [16, 32],\n         \"54866058\": 6,\n         \"54866141\": 6,\n         \"549\": 32,\n         \"55\": [10, 14],\n         \"550\": 32,\n+        \"551\": 12,\n         \"552\": 32,\n         \"553\": 32,\n-        \"554\": [20, 32],\n+        \"554\": 32,\n         \"55438813\": 15,\n         \"556\": 32,\n         \"558\": 32,\n         \"559\": 32,\n         \"560\": 32,\n         \"560626\": 18,\n         \"561\": 32,\n         \"5624928\": 7,\n         \"5625\": 7,\n         \"5635\": 16,\n         \"564\": 32,\n-        \"565\": 32,\n+        \"565\": [17, 32],\n         \"567\": 32,\n         \"569\": 32,\n         \"570\": 32,\n         \"57079633\": 7,\n         \"571\": [7, 32],\n         \"572\": 32,\n         \"573\": 32,\n         \"574\": 32,\n         \"575\": 32,\n         \"5757\": 15,\n         \"5758\": 9,\n         \"576\": 32,\n         \"5767\": 20,\n         \"5774\": 12,\n-        \"578\": 32,\n+        \"578\": [8, 32],\n         \"579\": 32,\n         \"58\": [17, 20],\n         \"583\": 32,\n         \"5838\": 7,\n         \"584\": 32,\n         \"585\": 32,\n         \"586\": 32,\n         \"587\": 32,\n         \"588\": 32,\n         \"5883\": 14,\n         \"589\": 32,\n         \"59\": 21,\n         \"591\": 32,\n-        \"593\": 32,\n+        \"593\": [21, 32],\n         \"594\": 1,\n         \"595\": 32,\n         \"596\": 32,\n         \"597\": 32,\n         \"598\": 32,\n         \"599\": 32,\n         \"6\": [4, 5, 6, 7, 10, 13, 14, 17, 20, 23, 24, 25, 26],\n         \"60\": [10, 13, 23],\n         \"600\": 32,\n         \"6003779\": 14,\n         \"6008\": 10,\n         \"601\": [14, 17],\n         \"6013\": 1,\n         \"604\": 32,\n-        \"607\": 32,\n+        \"605\": 15,\n+        \"607\": [13, 32],\n         \"608\": 32,\n         \"61\": 5,\n         \"610\": 32,\n         \"611\": 32,\n         \"61125903\": 14,\n         \"6115\": 14,\n         \"612\": 32,\n@@ -1869,14 +1862,15 @@\n         \"6199\": 17,\n         \"62\": 5,\n         \"620\": 32,\n         \"62017\": 8,\n         \"6227\": 14,\n         \"623\": 32,\n         \"62389897\": 21,\n+        \"624\": 14,\n         \"62499998\": 7,\n         \"626\": 32,\n         \"62659940\": 17,\n         \"627\": 32,\n         \"629\": 32,\n         \"630\": 32,\n         \"631\": 32,\n@@ -1884,15 +1878,15 @@\n         \"634\": 32,\n         \"636\": 32,\n         \"637\": 32,\n         \"64\": 25,\n         \"6417887\": 20,\n         \"642\": 32,\n         \"644\": 32,\n-        \"645\": 32,\n+        \"645\": [18, 32],\n         \"646\": 32,\n         \"647\": 32,\n         \"649\": 32,\n         \"65\": [11, 14],\n         \"650\": 32,\n         \"65062974\": 20,\n         \"650757\": 21,\n@@ -1937,23 +1931,24 @@\n         \"69\": 14,\n         \"693\": 32,\n         \"694\": 32,\n         \"6952\": 14,\n         \"696\": 32,\n         \"699\": 32,\n         \"69977034\": 18,\n-        \"7\": [1, 2, 4, 5, 7, 8, 10, 13, 14, 15, 18, 19, 23, 25, 26, 27],\n+        \"7\": [1, 2, 4, 5, 6, 7, 8, 10, 13, 14, 15, 18, 19, 20, 23, 25, 26, 27],\n         \"70\": 20,\n         \"700\": [5, 24, 32],\n         \"70062332\": 10,\n         \"70099\": 8,\n         \"701\": 32,\n         \"702\": 32,\n         \"706\": 32,\n         \"707\": 32,\n+        \"708\": 6,\n         \"7087\": 21,\n         \"710\": 32,\n         \"711\": 32,\n         \"712\": 32,\n         \"713\": 32,\n         \"7144\": 14,\n         \"718\": 32,\n@@ -2037,14 +2032,15 @@\n         \"804\": 32,\n         \"810\": 32,\n         \"81249979\": 7,\n         \"8125\": 7,\n         \"813\": 32,\n         \"815\": 32,\n         \"816\": 32,\n+        \"819\": 7,\n         \"82\": 7,\n         \"820\": 32,\n         \"821\": 32,\n         \"8241\": 16,\n         \"826\": 32,\n         \"830\": 32,\n         \"832\": 32,\n@@ -2084,14 +2080,15 @@\n         \"873\": 32,\n         \"875\": [7, 32],\n         \"87508800\": 20,\n         \"8758308\": 20,\n         \"87992\": 20,\n         \"883\": 32,\n         \"884\": 32,\n+        \"885\": 5,\n         \"888\": 32,\n         \"888888\": 29,\n         \"8904759\": 15,\n         \"892\": 32,\n         \"8923637137222027\": 7,\n         \"89285089\": 5,\n         \"893\": 32,\n@@ -2119,15 +2116,15 @@\n         \"9180\": 8,\n         \"9181\": 8,\n         \"92\": [11, 18],\n         \"92065227\": 5,\n         \"921\": 32,\n         \"923\": 32,\n         \"92503564\": 5,\n-        \"927\": [8, 32],\n+        \"927\": 32,\n         \"928\": 32,\n         \"9311\": 5,\n         \"93162\": 20,\n         \"932\": 32,\n         \"9320\": 5,\n         \"933\": 32,\n         \"934\": 32,\n@@ -2155,14 +2152,15 @@\n         \"96\": [7, 9, 20],\n         \"960\": 32,\n         \"96059\": 9,\n         \"961\": 32,\n         \"963\": 7,\n         \"96333089\": 11,\n         \"96333168\": 11,\n+        \"964\": 11,\n         \"97\": [7, 9, 14, 18, 20],\n         \"97268236\": 5,\n         \"97313427\": 18,\n         \"976\": 7,\n         \"9760429\": 18,\n         \"97663118\": 5,\n         \"97868751\": 6,\n"}]}]}]}]}]}