{"diffoscope-json-version": 1, "source1": "/srv/reproducible-results/rbuild-debian/r-b-build.VY2ERTE7/b1/lmfit-py_1.2.2-3_i386.changes", "source2": "/srv/reproducible-results/rbuild-debian/r-b-build.VY2ERTE7/b2/lmfit-py_1.2.2-3_i386.changes", "unified_diff": null, "details": [{"source1": "Files", "source2": "Files", "unified_diff": "@@ -1,3 +1,3 @@\n \n- 175bf116f3a93205ea313665821a3238 5456908 doc optional python-lmfit-doc_1.2.2-3_all.deb\n+ dd3b3a442194384792df67ea5caa64a4 5456908 doc optional python-lmfit-doc_1.2.2-3_all.deb\n  5dcd200c5a54ac442a66e787bece09e6 80160 python optional python3-lmfit_1.2.2-3_all.deb\n"}, {"source1": "python-lmfit-doc_1.2.2-3_all.deb", "source2": "python-lmfit-doc_1.2.2-3_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 2024-02-15 20:12:51.000000 debian-binary\n--rw-r--r--   0        0        0     7500 2024-02-15 20:12:51.000000 control.tar.xz\n--rw-r--r--   0        0        0  5449216 2024-02-15 20:12:51.000000 data.tar.xz\n+-rw-r--r--   0        0        0     7508 2024-02-15 20:12:51.000000 control.tar.xz\n+-rw-r--r--   0        0        0  5449208 2024-02-15 20:12:51.000000 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": "@@ -249,15 +249,15 @@\n -rw-r--r--   0 root         (0) root         (0)    25280 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/index.html\n -rw-r--r--   0 root         (0) root         (0)    24391 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/installation.html\n -rw-r--r--   0 root         (0) root         (0)    16721 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/intro.html\n -rw-r--r--   0 root         (0) root         (0)   199909 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/model.html\n -rw-r--r--   0 root         (0) root         (0)     3856 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/objects.inv\n -rw-r--r--   0 root         (0) root         (0)    62962 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/parameters.html\n -rw-r--r--   0 root         (0) root         (0)     6060 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/search.html\n--rw-r--r--   0 root         (0) root         (0)   118321 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/searchindex.js\n+-rw-r--r--   0 root         (0) root         (0)   118306 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/searchindex.js\n -rw-r--r--   0 root         (0) root         (0)     8574 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/support.html\n -rw-r--r--   0 root         (0) root         (0)    62049 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/whatsnew.html\n drwxr-xr-x   0 root         (0) root         (0)        0 2024-02-15 20:12:51.000000 ./usr/share/doc-base/\n -rw-r--r--   0 root         (0) root         (0)      305 2024-02-15 20:12:51.000000 ./usr/share/doc-base/python-lmfit-doc.python-lmfit-doc\n lrwxrwxrwx   0 root         (0) root         (0)        0 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/_static/doctools.js -> ../../../../javascript/sphinxdoc/1.0/doctools.js\n lrwxrwxrwx   0 root         (0) root         (0)        0 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/_static/language_data.js -> ../../../../javascript/sphinxdoc/1.0/language_data.js\n lrwxrwxrwx   0 root         (0) root         (0)        0 2024-02-15 20:12:51.000000 ./usr/share/doc/python3-lmfit/html/_static/searchtools.js -> ../../../../javascript/sphinxdoc/1.0/searchtools.js\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 0.546 seconds)\n+   **Total running time of the script:** (0 minutes 0.903 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_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 43.284 seconds)\n+   **Total running time of the script:** (1 minutes 24.166 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 1.117 seconds)\n+   **Total running time of the script:** (0 minutes 1.597 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 36.872 seconds)\n+   **Total running time of the script:** (0 minutes 59.104 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 1.549 seconds)\n+   **Total running time of the script:** (0 minutes 2.582 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 0.698 seconds)\n+   **Total running time of the script:** (0 minutes 1.149 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 0.368 seconds)\n+   **Total running time of the script:** (0 minutes 0.559 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 0.385 seconds)\n+   **Total running time of the script:** (0 minutes 0.635 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 0.381 seconds)\n+   **Total running time of the script:** (0 minutes 0.641 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 0.377 seconds)\n+   **Total running time of the script:** (0 minutes 0.619 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 0.362 seconds)\n+   **Total running time of the script:** (0 minutes 0.570 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 0.405 seconds)\n+   **Total running time of the script:** (0 minutes 0.580 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 0.668 seconds)\n+   **Total running time of the script:** (0 minutes 0.681 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": "@@ -195,15 +195,15 @@\n \n \n \n \n \n .. rst-class:: sphx-glr-timing\n \n-   **Total running time of the script:** (0 minutes 1.573 seconds)\n+   **Total running time of the script:** (0 minutes 2.407 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 3.944 seconds)\n+   **Total running time of the script:** (0 minutes 7.101 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 0.393 seconds)\n+   **Total running time of the script:** (0 minutes 0.609 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 0.546 seconds)</p>\n+<p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (0 minutes 0.903 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 0.546 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 0.903 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 _\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     * _\bp_\br_\be_\bv_\bi_\bo_\bu_\bs |\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 43.284 seconds)</p>\n+<img src=\"../_images/sphx_glr_example_brute_004.png\" srcset=\"../_images/sphx_glr_example_brute_004.png, ../_images/sphx_glr_example_brute_004_3_00x.png 3.00x\" alt=\"example brute\" class = \"sphx-glr-single-img\"/><p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (1 minutes 24.166 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 43.284 seconds)\n+T\bTo\bot\bta\bal\bl r\bru\bun\bnn\bni\bin\bng\bg t\bti\bim\bme\be o\bof\bf t\bth\bhe\be s\bsc\bcr\bri\bip\bpt\bt:\b: (1 minutes 24.166 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 _\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     * [ _\bi_\bn_\bt_\br_\bo |\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 1.117 seconds)</p>\n+<p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (0 minutes 1.597 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 1.117 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 1.597 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 _\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     * _\bp_\br_\be_\bv_\bi_\bo_\bu_\bs |\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 36.872 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 59.104 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 36.872 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 59.104 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 _\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     * _\bp_\br_\be_\bv_\bi_\bo_\bu_\bs |\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 1.549 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 2.582 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 1.549 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 2.582 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 _\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     * _\bp_\br_\be_\bv_\bi_\bo_\bu_\bs |\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 0.698 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 1.149 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:     1.80252727 (init = 2.5)\n     decay:   5.76285646 (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 0.698 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 1.149 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 _\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     * _\bp_\br_\be_\bv_\bi_\bo_\bu_\bs |\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 0.368 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 0.559 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": "@@ -64,15 +64,15 @@\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 0.368 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 0.559 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 _\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     * _\bp_\br_\be_\bv_\bi_\bo_\bu_\bs |\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 0.385 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 0.635 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 0.385 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 0.635 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 _\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     * _\bp_\br_\be_\bv_\bi_\bo_\bu_\bs |\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 0.381 seconds)</p>\n+<p class=\"sphx-glr-timing\"><strong>Total running time of the script:</strong> (0 minutes 0.641 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 0.381 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 0.641 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 _\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     * _\bp_\br_\be_\bv_\bi_\bo_\bu_\bs |\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 0.377 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 0.619 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 0.377 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 0.619 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 _\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     * _\bp_\br_\be_\bv_\bi_\bo_\bu_\bs |\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 0.362 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 0.570 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 0.362 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 0.570 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 _\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     * _\bp_\br_\be_\bv_\bi_\bo_\bu_\bs |\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 0.405 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 0.580 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 0.405 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 0.580 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 _\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     * _\bp_\br_\be_\bv_\bi_\bo_\bu_\bs |\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 0.668 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 0.681 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 0.668 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 0.681 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 _\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     * _\bp_\br_\be_\bv_\bi_\bo_\bu_\bs |\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": "@@ -199,15 +199,15 @@\n <span class=\"n\">param2_values</span> <span class=\"o\">=</span> <span class=\"nb\">dict</span><span class=\"p\">(</span><span class=\"n\">x</span><span class=\"o\">=</span><span class=\"n\">x</span><span class=\"p\">,</span> <span class=\"n\">A1</span><span class=\"o\">=</span><span class=\"mi\">2</span><span class=\"p\">,</span> <span class=\"n\">sigma1</span><span class=\"o\">=</span><span class=\"mi\">1</span><span class=\"p\">,</span> <span class=\"n\">xc1</span><span class=\"o\">=</span><span class=\"mi\">2</span><span class=\"p\">,</span> <span class=\"n\">xc2</span><span class=\"o\">=</span><span class=\"mi\">5</span><span class=\"p\">,</span> <span class=\"n\">xw</span><span class=\"o\">=</span><span class=\"mi\">4</span><span class=\"p\">,</span> <span class=\"n\">B</span><span class=\"o\">=</span><span class=\"mi\">5</span><span class=\"p\">)</span>\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 </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 1.573 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 2.407 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": "@@ -82,15 +82,15 @@\n lm_mod = lmfit.Model(model2_func, independent_vars=('x'))\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 [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 1.573 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 2.407 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 _\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     * _\bp_\br_\be_\bv_\bi_\bo_\bu_\bs |\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 3.944 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 7.101 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 3.944 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 7.101 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 _\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     * _\bp_\br_\be_\bv_\bi_\bo_\bu_\bs |\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 0.393 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 0.609 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:     10.7899573 +/- 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 0.393 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 0.609 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 _\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     * _\bp_\br_\be_\bv_\bi_\bo_\bu_\bs |\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": "@@ -1402,19 +1402,20 @@\n         \"1\": [0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29, 30],\n         \"10\": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 26, 29, 30],\n         \"100\": [5, 6, 7, 8, 9, 10, 11, 12, 13, 16, 19, 20, 22, 25, 29, 30],\n         \"1000\": [1, 5, 25, 29],\n         \"10000\": [7, 19],\n         \"1001440\": 17,\n         \"10059\": 7,\n-        \"101\": [6, 10, 17, 20],\n+        \"101\": [6, 10, 17, 19, 20],\n         \"10197422\": 12,\n         \"102\": 30,\n         \"103\": 17,\n         \"10392444\": 17,\n+        \"104\": 8,\n         \"10496396\": 16,\n         \"106\": 6,\n         \"107\": 17,\n         \"10725864\": 5,\n         \"1092\": 12,\n         \"11\": [1, 2, 6, 16, 25, 32],\n         \"110\": 6,\n@@ -1423,15 +1424,14 @@\n         \"11125903\": 13,\n         \"11134755\": 5,\n         \"11270194\": 5,\n         \"11287\": 19,\n         \"11301\": 14,\n         \"115\": 6,\n         \"11643510\": 12,\n-        \"117\": 7,\n         \"11741198\": 19,\n         \"11813\": 24,\n         \"119\": 6,\n         \"12\": [1, 4, 13, 15, 17, 26],\n         \"120\": 13,\n         \"1208\": 6,\n         \"12156\": 8,\n@@ -1468,27 +1468,29 @@\n         \"146\": 10,\n         \"14669316\": 5,\n         \"14669319\": 5,\n         \"146693193034349\": 5,\n         \"147\": 5,\n         \"14795\": 8,\n         \"14847\": 8,\n+        \"149\": 10,\n         \"15\": [4, 6, 8, 11, 13, 15, 19, 20, 22, 23, 24, 25, 26, 27],\n         \"1500\": 14,\n         \"151\": 12,\n         \"1530\": 7,\n         \"1530621\": 20,\n         \"1543\": 7,\n         \"15448795\": 5,\n         \"1546\": 16,\n         \"15503770\": 20,\n         \"1591549\": 19,\n         \"16\": [1, 6, 8, 19, 32],\n         \"1647\": 8,\n         \"1651\": 16,\n+        \"166\": 6,\n         \"1670\": 8,\n         \"1674767\": 17,\n         \"17\": [5, 11, 32],\n         \"17160652\": 20,\n         \"1739\": 13,\n         \"175\": 1,\n         \"1774\": 19,\n@@ -1585,15 +1587,14 @@\n         \"27\": [4, 8, 16, 19, 26],\n         \"2722842\": 16,\n         \"2761\": 16,\n         \"27s_t\": 1,\n         \"28\": [5, 23, 27],\n         \"28002384\": 5,\n         \"28378389\": 19,\n-        \"284\": 6,\n         \"28588\": 11,\n         \"2887\": 13,\n         \"28904676\": 19,\n         \"29\": 16,\n         \"2913\": 13,\n         \"2919\": 12,\n         \"294636\": 7,\n@@ -1635,49 +1636,42 @@\n         \"34544481\": 17,\n         \"35\": 8,\n         \"3539e\": 7,\n         \"35409534\": 19,\n         \"3548\": 1,\n         \"3548200\": [13, 19],\n         \"3585\": 15,\n-        \"36\": [8, 12],\n-        \"362\": 15,\n+        \"36\": 12,\n         \"3646\": 14,\n         \"36481425\": 13,\n-        \"368\": 11,\n         \"37\": [12, 14, 19],\n         \"3742\": 12,\n         \"375000\": 6,\n-        \"377\": 14,\n         \"3796\": 16,\n         \"38\": 19,\n-        \"381\": 13,\n         \"3823\": 19,\n-        \"385\": 12,\n         \"3868\": 13,\n         \"39\": [15, 20],\n         \"39269908\": 6,\n-        \"393\": 20,\n         \"3989423\": 13,\n         \"3f\": [15, 23],\n         \"4\": [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 22, 23, 26, 27, 29, 30],\n         \"40\": 18,\n         \"401856\": 9,\n         \"404\": 30,\n-        \"405\": 16,\n         \"40625133\": 11,\n+        \"407\": 18,\n         \"41\": [5, 7, 8],\n         \"411487\": 10,\n         \"4115\": 13,\n         \"41261395\": 13,\n         \"416\": 25,\n         \"41851637\": 13,\n         \"4195833\": 19,\n         \"42\": 5,\n-        \"43\": 6,\n         \"4321\": 14,\n         \"436525\": 17,\n         \"43989663\": 6,\n         \"44\": 6,\n         \"44026387\": 14,\n         \"44044\": 14,\n         \"45\": 8,\n@@ -1748,94 +1742,96 @@\n         \"537781821432\": 7,\n         \"538\": 7,\n         \"539\": 32,\n         \"540\": 32,\n         \"542\": 32,\n         \"543\": 32,\n         \"545\": 32,\n-        \"546\": 5,\n         \"547\": 32,\n         \"54740777\": 19,\n         \"548\": 32,\n-        \"549\": [9, 32],\n+        \"549\": 32,\n         \"55\": [9, 13],\n         \"550\": 32,\n         \"552\": 32,\n         \"553\": 32,\n         \"554\": 32,\n         \"55438813\": 14,\n         \"556\": 32,\n         \"558\": 32,\n-        \"559\": 32,\n+        \"559\": [11, 32],\n         \"560\": 32,\n         \"560626\": 17,\n         \"561\": 32,\n         \"5624928\": 6,\n         \"5625\": 6,\n         \"5635\": 15,\n         \"564\": 32,\n         \"565\": 32,\n         \"567\": 32,\n         \"569\": 32,\n-        \"570\": 32,\n+        \"570\": [15, 32],\n         \"57079633\": 6,\n         \"571\": [6, 32],\n         \"572\": 32,\n-        \"573\": [18, 32],\n+        \"573\": 32,\n         \"574\": 32,\n         \"575\": 32,\n         \"5757\": 14,\n         \"5758\": 8,\n         \"576\": 32,\n         \"5767\": 19,\n         \"5774\": 11,\n         \"57742880\": 19,\n         \"578\": 32,\n         \"579\": 32,\n         \"58\": [16, 19],\n+        \"580\": 16,\n+        \"582\": 9,\n         \"583\": 32,\n         \"5838\": 6,\n         \"584\": 32,\n         \"585\": 32,\n         \"586\": 32,\n         \"587\": 32,\n         \"588\": 32,\n         \"5883\": 13,\n         \"589\": 32,\n-        \"59\": 20,\n+        \"59\": [8, 20],\n         \"591\": 32,\n         \"593\": 32,\n         \"594\": 1,\n         \"595\": 32,\n         \"596\": 32,\n-        \"597\": 32,\n+        \"597\": [7, 32],\n         \"598\": 32,\n         \"599\": 32,\n         \"6\": [4, 5, 6, 9, 12, 13, 16, 19, 22, 24, 25, 26, 27],\n         \"60\": [9, 12, 22],\n         \"600\": 32,\n         \"6003779\": 13,\n         \"6008\": 9,\n         \"601\": [13, 16],\n         \"6013\": 1,\n         \"604\": 32,\n         \"607\": 32,\n         \"608\": 32,\n+        \"609\": 20,\n         \"61\": 5,\n         \"610\": 32,\n         \"611\": 32,\n         \"61125903\": 13,\n         \"6115\": 13,\n         \"612\": 32,\n         \"612196\": 9,\n         \"614\": 32,\n         \"616\": 32,\n         \"61672968\": 13,\n         \"617\": 1,\n-        \"619\": 32,\n+        \"619\": [14, 32],\n         \"6199\": 16,\n         \"62\": 5,\n         \"620\": 32,\n         \"62017\": 7,\n         \"6227\": 13,\n         \"623\": 32,\n         \"62389897\": 20,\n@@ -1844,17 +1840,19 @@\n         \"62659935\": 16,\n         \"627\": 32,\n         \"629\": 32,\n         \"630\": 32,\n         \"631\": 32,\n         \"633\": 32,\n         \"634\": 32,\n+        \"635\": 12,\n         \"636\": 32,\n         \"637\": 32,\n         \"64\": 25,\n+        \"641\": 13,\n         \"6417887\": 19,\n         \"642\": 32,\n         \"644\": 32,\n         \"645\": 32,\n         \"646\": 32,\n         \"647\": 32,\n         \"649\": 32,\n@@ -1875,44 +1873,43 @@\n         \"662\": 32,\n         \"663\": 32,\n         \"664\": 32,\n         \"66441\": 8,\n         \"666\": 32,\n         \"666582\": 19,\n         \"667\": 32,\n-        \"668\": [17, 32],\n+        \"668\": 32,\n         \"670\": 32,\n         \"673\": 32,\n         \"674\": 32,\n         \"675\": 32,\n         \"676\": 32,\n         \"677\": 32,\n         \"678\": 32,\n         \"68\": [2, 6, 8],\n         \"680437\": 6,\n         \"68049261\": 12,\n-        \"681\": 32,\n+        \"681\": [17, 32],\n         \"6827\": [2, 29],\n         \"684\": 32,\n         \"6847e\": 11,\n         \"6848e\": 11,\n         \"685\": 32,\n         \"687\": 32,\n         \"6875\": 6,\n         \"688\": 32,\n         \"689\": 32,\n         \"69\": 13,\n         \"693\": 32,\n         \"694\": 32,\n         \"6952\": 13,\n         \"696\": 32,\n-        \"698\": 10,\n         \"699\": 32,\n         \"69977034\": 17,\n-        \"7\": [1, 2, 4, 5, 6, 7, 9, 12, 13, 14, 17, 18, 22, 23, 25, 26, 27],\n+        \"7\": [1, 2, 4, 5, 6, 7, 9, 12, 13, 14, 17, 18, 19, 22, 23, 25, 26, 27],\n         \"70\": 19,\n         \"700\": [5, 24, 32],\n         \"70062332\": 9,\n         \"70099\": 7,\n         \"701\": 32,\n         \"702\": 32,\n         \"706\": 32,\n@@ -2040,15 +2037,15 @@\n         \"865\": 32,\n         \"8653514\": 6,\n         \"866\": 32,\n         \"8662\": 13,\n         \"87\": [6, 19, 25],\n         \"871\": 32,\n         \"871969\": 10,\n-        \"872\": [1, 8, 32],\n+        \"872\": [1, 32],\n         \"873\": 32,\n         \"875\": [6, 32],\n         \"8758310\": 19,\n         \"87992\": 19,\n         \"883\": 32,\n         \"884\": 32,\n         \"888\": 32,\n@@ -2070,14 +2067,15 @@\n         \"899\": 32,\n         \"9\": [4, 6, 7, 8, 11, 12, 13, 16, 19, 20, 23, 25, 26, 27, 29],\n         \"90\": 6,\n         \"900\": 32,\n         \"9000\": 7,\n         \"901\": 32,\n         \"902\": 32,\n+        \"903\": 5,\n         \"9137\": 7,\n         \"91629786\": 6,\n         \"9180\": 7,\n         \"9181\": 7,\n         \"92\": [10, 17],\n         \"92065227\": 5,\n         \"92503564\": 5,\n@@ -2085,15 +2083,14 @@\n         \"93162\": 19,\n         \"9320\": 5,\n         \"935\": 6,\n         \"9353671\": 6,\n         \"94\": 6,\n         \"940764\": 19,\n         \"9426e\": 12,\n-        \"944\": 19,\n         \"948\": 6,\n         \"95\": [2, 7, 8],\n         \"952483\": 6,\n         \"9545\": [2, 29],\n         \"96\": [6, 8, 19],\n         \"96059\": 8,\n         \"963\": 6,\n"}]}]}]}]}]}