--- /srv/reproducible-results/rbuild-debian/r-b-build.w7qjo8yl/b1/nbsphinx_0.8.11+ds-1_armhf.changes +++ /srv/reproducible-results/rbuild-debian/r-b-build.w7qjo8yl/b2/nbsphinx_0.8.11+ds-1_armhf.changes ├── Files │ @@ -1,3 +1,3 @@ │ │ - 4627e6cc9b048292c5ff53f60fa59850 1880756 doc optional python-nbsphinx-doc_0.8.11+ds-1_all.deb │ + ba142fc0bf6f612779ef257763ad04df 1880796 doc optional python-nbsphinx-doc_0.8.11+ds-1_all.deb │ fe30d18b69230f0c0800c34642a0b984 36132 python optional python3-nbsphinx_0.8.11+ds-1_all.deb ├── python-nbsphinx-doc_0.8.11+ds-1_all.deb │ ├── file list │ │ @@ -1,3 +1,3 @@ │ │ -rw-r--r-- 0 0 0 4 2023-01-15 14:41:02.000000 debian-binary │ │ -rw-r--r-- 0 0 0 4260 2023-01-15 14:41:02.000000 control.tar.xz │ │ --rw-r--r-- 0 0 0 1876304 2023-01-15 14:41:02.000000 data.tar.xz │ │ +-rw-r--r-- 0 0 0 1876344 2023-01-15 14:41:02.000000 data.tar.xz │ ├── control.tar.xz │ │ ├── control.tar │ │ │ ├── ./md5sums │ │ │ │ ├── ./md5sums │ │ │ │ │┄ Files differ │ ├── data.tar.xz │ │ ├── data.tar │ │ │ ├── file list │ │ │ │ @@ -51,37 +51,37 @@ │ │ │ │ -rw-r--r-- 0 root (0) root (0) 829 2021-11-13 00:20:55.000000 ./usr/share/doc/python-nbsphinx/html/_static/sg_gallery-dataframe.css │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3714 2021-11-13 00:20:55.000000 ./usr/share/doc/python-nbsphinx/html/_static/sg_gallery-rendered-html.css │ │ │ │ -rw-r--r-- 0 root (0) root (0) 4068 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/_static/sg_gallery.css │ │ │ │ -rw-r--r-- 0 root (0) root (0) 24691 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/a-normal-rst-file.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 17505 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/allow-errors-per-cell.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3956 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/allow-errors-per-cell.ipynb │ │ │ │ -rw-r--r-- 0 root (0) root (0) 18762 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/allow-errors.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 1395 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/allow-errors.ipynb.gz │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 1397 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/allow-errors.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 167665 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/code-cells.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 90752 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/code-cells.ipynb.gz │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 90764 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/code-cells.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 2629 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/conf.py.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 19849 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/configuring-kernels.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3742 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/configuring-kernels.ipynb │ │ │ │ -rw-r--r-- 0 root (0) root (0) 15052 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/contributing.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 19388 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/custom-css.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 4066 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/custom-css.ipynb │ │ │ │ -rw-r--r-- 0 root (0) root (0) 9426 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/executing-notebooks.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 1556 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/executing-notebooks.ipynb │ │ │ │ drwxr-xr-x 0 root (0) root (0) 0 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/gallery/ │ │ │ │ -rw-r--r-- 0 root (0) root (0) 16398 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/gallery/a-local-file.png │ │ │ │ -rw-r--r-- 0 root (0) root (0) 20849 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/gallery/cell-metadata.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 18794 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/gallery/cell-metadata.ipynb.gz │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 18791 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/gallery/cell-metadata.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 17306 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/gallery/cell-tag.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 9311 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/gallery/cell-tag.ipynb.gz │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 9312 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/gallery/cell-tag.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 51481 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/gallery/multiple-outputs.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 12607 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/gallery/multiple-outputs.ipynb.gz │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 12605 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/gallery/multiple-outputs.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 7891 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/gallery/no-thumbnail.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 954 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/gallery/no-thumbnail.ipynb │ │ │ │ -rw-r--r-- 0 root (0) root (0) 18963 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/gallery/thumbnail-from-conf-py.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 1370 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/gallery/thumbnail-from-conf-py.ipynb.gz │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 1374 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/gallery/thumbnail-from-conf-py.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 8258 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/gallery/uno-rst.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 971 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/gallery/uno-rst.ipynb │ │ │ │ -rw-r--r-- 0 root (0) root (0) 5330 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/genindex.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 14623 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/hidden-cells.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 2791 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/hidden-cells.ipynb │ │ │ │ -rw-r--r-- 0 root (0) root (0) 28988 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/index.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 17884 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/installation.html │ │ │ │ @@ -102,15 +102,15 @@ │ │ │ │ -rw-r--r-- 0 root (0) root (0) 13393 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/raw-cells.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 2098 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/raw-cells.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 227 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/requirements.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 4871 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/search.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 53873 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/searchindex.js │ │ │ │ drwxr-xr-x 0 root (0) root (0) 0 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/subdir/ │ │ │ │ -rw-r--r-- 0 root (0) root (0) 16045 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/subdir/a-notebook-in-a-subdir.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 9424 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/subdir/a-notebook-in-a-subdir.ipynb.gz │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 9427 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/subdir/a-notebook-in-a-subdir.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 12895 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/subdir/gallery.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 4019 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/subdir/gallery.ipynb │ │ │ │ -rw-r--r-- 0 root (0) root (0) 14104 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/subdir/toctree.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 1688 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/subdir/toctree.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 8658 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/timeout.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 1729 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/timeout.ipynb │ │ │ │ -rw-r--r-- 0 root (0) root (0) 67727 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/usage.html │ │ │ │ @@ -133,15 +133,15 @@ │ │ │ │ drwxr-xr-x 0 root (0) root (0) 0 2021-10-09 06:55:50.000000 ./usr/share/doc/python-nbsphinx/html/www/repology/ │ │ │ │ -rw-r--r-- 0 root (0) root (0) 13906 2021-10-09 06:55:50.000000 ./usr/share/doc/python-nbsphinx/html/www/repology/nbsphinx.svg │ │ │ │ drwxr-xr-x 0 root (0) root (0) 0 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/www/wikimediacommons/ │ │ │ │ -rw-r--r-- 0 root (0) root (0) 343979 2021-10-09 06:55:50.000000 ./usr/share/doc/python-nbsphinx/html/www/wikimediacommons/DescenteInfinie.ogg │ │ │ │ -rw-r--r-- 0 root (0) root (0) 406119 2021-10-09 06:55:50.000000 ./usr/share/doc/python-nbsphinx/html/www/wikimediacommons/Shepard_Calais_1906_FrenchGP.ogv.160p.ogv │ │ │ │ -rw-r--r-- 0 root (0) root (0) 7337 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/yet-another.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 908 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/html/yet-another.ipynb │ │ │ │ --rw-r--r-- 0 root (0) root (0) 700595 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/nbsphinx.pdf │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 700605 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx/nbsphinx.pdf │ │ │ │ drwxr-xr-x 0 root (0) root (0) 0 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx-doc/ │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3700 2022-09-18 14:14:25.000000 ./usr/share/doc/python-nbsphinx-doc/CONTRIBUTING.rst │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3056 2022-12-29 15:53:03.000000 ./usr/share/doc/python-nbsphinx-doc/NEWS.rst.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 1930 2022-12-29 15:53:51.000000 ./usr/share/doc/python-nbsphinx-doc/PKG-INFO │ │ │ │ -rw-r--r-- 0 root (0) root (0) 980 2022-09-18 14:14:25.000000 ./usr/share/doc/python-nbsphinx-doc/README.rst │ │ │ │ -rw-r--r-- 0 root (0) root (0) 1826 2023-01-15 14:41:02.000000 ./usr/share/doc/python-nbsphinx-doc/changelog.Debian.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 45854 2023-01-15 14:40:47.000000 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│ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ @@ -1259,15 +1259,15 @@ │ │ │ │ │ │ "L 163.888636 160.746207 \n", │ │ │ │ │ │ "L 194.325 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"2024-01-10T13:52:32.882755Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:52:32.881945Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:52:33.173411Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:52:33.168296Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:29:58.983924Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:29:58.983213Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:29:59.314476Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:29:59.312421Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "image/png": 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\n", │ │ │ │ │ │ "text/plain": [ │ │ │ │ │ │ @@ -1367,34 +1367,34 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 21, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:52:33.183723Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:52:33.182864Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:52:33.215924Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:52:33.213773Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:29:59.324833Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:29:59.323928Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:29:59.360615Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:29:59.358457Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "%config InlineBackend.figure_formats = ['png2x']" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 22, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:52:33.225371Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:52:33.224540Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:52:33.606799Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:52:33.604365Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:29:59.370684Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:29:59.369931Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:29:59.818321Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:29:59.816300Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "image/png": 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│ │ │ │ │ │ "text/plain": [ │ │ │ │ │ │ @@ -1426,35 +1426,35 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 23, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:52:33.616386Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:52:33.615577Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:52:34.569763Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:52:34.567663Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:29:59.840631Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:29:59.835732Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:01.416691Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:01.414725Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "import numpy as np\n", │ │ │ │ │ │ "import pandas as pd" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 24, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:52:34.579928Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:52:34.579207Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:52:34.613846Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:52:34.611711Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:01.428556Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:01.427800Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:01.457700Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:01.455908Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "text/html": [ │ │ │ │ │ │ "\n", │ │ │ │ │ │ @@ -1552,18 +1552,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 25, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:52:34.623411Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:52:34.622732Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:52:34.634250Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:52:34.629829Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:01.469436Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:01.468757Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:01.481112Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:01.479254Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "pd.set_option('display.latex.repr', True)" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ @@ -1582,18 +1582,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 26, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:52:34.657974Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:52:34.657291Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:52:34.675011Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:52:34.673162Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:01.490259Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:01.489570Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:01.501615Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:01.499810Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "pd.set_option('display.latex.longtable', True)" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ @@ -1608,18 +1608,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 27, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:52:34.683580Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:52:34.682911Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:52:34.692561Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:52:34.690904Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:01.510493Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:01.509836Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:01.521368Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:01.519582Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "pd.set_option('display.latex.escape', False)" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ @@ -1631,18 +1631,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 28, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:52:34.700149Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:52:34.699499Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:52:34.746670Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:52:34.744890Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:01.530062Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:01.529426Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:01.587786Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:01.585940Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "name": "stderr", │ │ │ │ │ │ "output_type": "stream", │ │ │ │ │ │ "text": [ │ │ │ │ │ │ @@ -1816,34 +1816,34 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 29, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:52:34.755601Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:52:34.753896Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:52:34.766263Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:52:34.764126Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:01.596566Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:01.595817Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:01.607452Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:01.605600Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "from IPython.display import Markdown" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 30, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:52:34.775097Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:52:34.773819Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:52:34.792543Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:52:34.790489Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:01.616817Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:01.616088Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:01.637189Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:01.635246Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "text/markdown": [ │ │ │ │ │ │ "\n", │ │ │ │ │ │ @@ -1915,18 +1915,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 31, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:52:34.801586Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:52:34.800327Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:52:34.955572Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:52:34.953513Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:01.646637Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:01.645948Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:01.822255Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:01.820318Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "text/html": [ │ │ │ │ │ │ "\n", │ │ │ │ │ │ @@ -1937,15 +1937,15 @@ │ │ │ │ │ │ " frameborder=\"0\"\n", │ │ │ │ │ │ " allowfullscreen\n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " >\n", │ │ │ │ │ │ " " │ │ │ │ │ │ ], │ │ │ │ │ │ "text/plain": [ │ │ │ │ │ │ - "" │ │ │ │ │ │ + "" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ "execution_count": 31, │ │ │ │ │ │ "metadata": {}, │ │ │ │ │ │ "output_type": "execute_result" │ │ │ │ │ │ } │ │ │ │ │ │ ], │ │ │ │ │ │ @@ -2032,18 +2032,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 32, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:52:34.965069Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:52:34.964419Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:52:34.984846Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:52:34.982661Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:01.831924Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:01.831255Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:01.866211Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:01.864319Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "application/javascript": [ │ │ │ │ │ │ "\n", │ │ │ │ │ │ @@ -2078,18 +2078,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 33, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:52:34.994319Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:52:34.993549Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:52:35.012687Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:52:35.010403Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:01.883763Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:01.882987Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:01.896896Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:01.894774Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "text/x-haskell": [ │ │ │ │ │ │ "main = putStrLn \"Hello, world!\"" │ │ │ │ │ │ @@ -2119,18 +2119,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 34, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:52:35.021767Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:52:35.021040Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:52:35.042308Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:52:35.036992Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:01.915211Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:01.914356Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:01.936746Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:01.934513Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "name": "stdout", │ │ │ │ │ │ "output_type": "stream", │ │ │ │ │ │ "text": [ │ │ │ │ │ │ @@ -2160,18 +2160,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 35, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:52:35.050897Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:52:35.050113Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:52:35.072835Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:52:35.069702Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:01.947096Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:01.946304Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:01.974836Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:01.972550Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "name": "stdout", │ │ │ │ │ │ "output_type": "stream", │ │ │ │ │ │ "text": [ │ │ │ │ │ │ @@ -2218,18 +2218,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 36, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:52:35.080768Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:52:35.080065Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:52:35.101248Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:52:35.099211Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:01.985431Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:01.984649Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:02.007645Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:02.004295Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "name": "stdout", │ │ │ │ │ │ "output_type": "stream", │ │ │ │ │ │ "text": [ │ │ │ │ │ │ @@ -2264,18 +2264,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 37, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:52:35.112756Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:52:35.112037Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:52:35.134193Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:52:35.130651Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:02.019042Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:02.018175Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:02.043596Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:02.041501Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "name": "stdout", │ │ │ │ │ │ "output_type": "stream", │ │ │ │ │ │ "text": [ │ │ │ ├── ./usr/share/doc/python-nbsphinx/html/configuring-kernels.ipynb │ │ │ │ ├── Pretty-printed │ │ │ │ │┄ Similarity: 0.999609375% │ │ │ │ │┄ Differences: {"'cells'": "{5: {'metadata': {'execution': {'iopub.execute_input': '2024-01-10T14:30:16.851131Z', " │ │ │ │ │┄ "'iopub.status.busy': '2024-01-10T14:30:16.850215Z', 'iopub.status.idle': " │ │ │ │ │┄ "'2024-01-10T14:30:16.934129Z', 'shell.execute_reply': " │ │ │ │ │┄ "'2024-01-10T14:30:16.931590Z'}}}}"} │ │ │ │ │ @@ -63,18 +63,18 @@ │ │ │ │ │ ] │ │ │ │ │ }, │ │ │ │ │ { │ │ │ │ │ "cell_type": "code", │ │ │ │ │ "execution_count": 1, │ │ │ │ │ "metadata": { │ │ │ │ │ "execution": { │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:52:47.984050Z", │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:52:47.983177Z", │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:52:48.035521Z", │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:52:48.033119Z" │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:16.851131Z", │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:16.850215Z", │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:16.934129Z", │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:16.931590Z" │ │ │ │ │ } │ │ │ │ │ }, │ │ │ │ │ "outputs": [ │ │ │ │ │ { │ │ │ │ │ "data": { │ │ │ │ │ "text/plain": [ │ │ │ │ │ "'Hello from conf.py!'" │ │ │ ├── ./usr/share/doc/python-nbsphinx/html/custom-css.ipynb │ │ │ │ ├── Pretty-printed │ │ │ │ │┄ Similarity: 0.9994791666666667% │ │ │ │ │┄ Differences: {"'cells'": "{5: {'metadata': {'execution': {'iopub.execute_input': '2024-01-10T14:30:23.775322Z', " │ │ │ │ │┄ "'iopub.status.busy': '2024-01-10T14:30:23.774355Z', 'iopub.status.idle': " │ │ │ │ │┄ "'2024-01-10T14:30:23.838325Z', 'shell.execute_reply': " │ │ │ │ │┄ "'2024-01-10T14:30:23.834100Z'}}}}"} │ │ │ │ │ @@ -118,18 +118,18 @@ │ │ │ │ │ ] │ │ │ │ │ }, │ │ │ │ │ { │ │ │ │ │ "cell_type": "code", │ │ │ │ │ "execution_count": 1, │ │ │ │ │ "metadata": { │ │ │ │ │ "execution": { │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:52:52.859920Z", │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:52:52.859082Z", │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:52:52.903061Z", │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:52:52.900912Z" │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:23.775322Z", │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:23.774355Z", │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:23.838325Z", │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:23.834100Z" │ │ │ │ │ } │ │ │ │ │ }, │ │ │ │ │ "outputs": [ │ │ │ │ │ { │ │ │ │ │ "data": { │ │ │ │ │ "text/plain": [ │ │ │ │ │ "42" │ │ │ ├── ./usr/share/doc/python-nbsphinx/html/gallery/cell-metadata.html │ │ │ │ @@ -373,15 +373,15 @@ │ │ │ │ │ │ │ │ │ │ │ │ [5]: │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ -<matplotlib.image.AxesImage at 0xf5288d50> │ │ │ │ +<matplotlib.image.AxesImage at 0xad980d50> │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ ├── html2text {} │ │ │ │ │ @@ -35,15 +35,15 @@ │ │ │ │ │ z = (1 - x / 2 + x ** 5 + y ** 3) * np.exp(-x ** 2 - y ** 2) │ │ │ │ │ [4]: │ │ │ │ │ zmax = np.max(np.abs(z)) │ │ │ │ │ [5]: │ │ │ │ │ fig, ax = plt.subplots(figsize=[5, 3.5]) │ │ │ │ │ ax.imshow(z, vmin=-zmax, vmax=zmax) │ │ │ │ │ [5]: │ │ │ │ │ - │ │ │ │ │ + │ │ │ │ │ [../_images/gallery_cell-metadata_7_1.svg] │ │ │ │ │ ****** nbsphinx ****** │ │ │ │ │ **** Navigation **** │ │ │ │ │ * Installation │ │ │ │ │ * Usage │ │ │ │ │ * Markdown_Cells │ │ │ │ │ * Code_Cells │ │ │ ├── ./usr/share/doc/python-nbsphinx/html/gallery/cell-metadata.ipynb.gz │ │ │ │ ├── cell-metadata.ipynb │ │ │ │ │ ├── Pretty-printed │ │ │ │ │ │┄ Similarity: 0.9981915020489239% │ │ │ │ │ │┄ Differences: {"'cells'": "{2: {'metadata': {'execution': {'iopub.execute_input': '2024-01-10T14:30:32.623164Z', " │ │ │ │ │ │┄ "'iopub.status.busy': '2024-01-10T14:30:32.622237Z', 'iopub.status.idle': " │ │ │ │ │ │┄ "'2024-01-10T14:30:34.591030Z', 'shell.execute_reply': " │ │ │ │ │ │┄ "'2024-01-10T14:30:34.588687Z'}}}, 3: {'metadata': {'execution': " │ │ │ │ │ │┄ "{'iopub.execute_input': '2024-01-10T14:30:34.612877Z', 'iopub.status.busy': " │ │ │ │ │ │┄ "'2024-01-10T14:30:34.611348Z', 'iopub.status.idle': '2024-01-10T14:30:3 […] │ │ │ │ │ │ @@ -35,35 +35,35 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 1, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:52:59.395173Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:52:59.394347Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:53:00.793160Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:53:00.791099Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:32.623164Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:32.622237Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:34.591030Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:34.588687Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "import matplotlib.pyplot as plt\n", │ │ │ │ │ │ "import numpy as np" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 2, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:53:00.803029Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:53:00.801944Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:53:00.816200Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:53:00.813894Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:34.612877Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:34.611348Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:34.626563Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:34.624318Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "plt.rcParams['image.cmap'] = 'coolwarm'\n", │ │ │ │ │ │ "plt.rcParams['image.origin'] = 'lower'" │ │ │ │ │ │ ] │ │ │ │ │ │ @@ -77,61 +77,61 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 3, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:53:00.825493Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:53:00.824763Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:53:00.840691Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:53:00.838647Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:34.638098Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:34.637263Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:34.650423Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:34.648636Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "x, y = np.meshgrid(np.arange(-3, 3, 0.1), np.arange(-2, 2, 0.1))\n", │ │ │ │ │ │ "z = (1 - x / 2 + x ** 5 + y ** 3) * np.exp(-x ** 2 - y ** 2)" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 4, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:53:00.849736Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:53:00.848940Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:53:00.863287Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:53:00.861090Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:34.665534Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:34.664811Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:34.678222Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:34.676339Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "zmax = np.max(np.abs(z))" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 5, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:53:00.872099Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:53:00.871298Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:53:02.262611Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:53:02.260323Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:34.687430Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:34.686726Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:36.562654Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:36.560883Z" │ │ │ │ │ │ }, │ │ │ │ │ │ "nbsphinx-thumbnail": { │ │ │ │ │ │ "tooltip": "This tooltip message was defined in cell metadata" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "text/plain": [ │ │ │ │ │ │ - "" │ │ │ │ │ │ + "" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ "execution_count": 5, │ │ │ │ │ │ "metadata": {}, │ │ │ │ │ │ "output_type": "execute_result" │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ @@ -173,28 +173,28 @@ │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ + 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id=\"image1400cf6bf2\" transform=\"scale(1 -1) translate(0 -186.48)\" x=\"26.925\" y=\"-6.72\" width=\"279.36\" height=\"186.48\"/>\n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ @@ -554,15 +554,15 @@ │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ "\n" │ │ │ │ │ │ ], │ │ │ │ │ │ "text/plain": [ │ │ │ │ │ │ "" │ │ │ ├── ./usr/share/doc/python-nbsphinx/html/gallery/cell-tag.html │ │ │ │ @@ -338,15 +338,15 @@ │ │ │ │ │ │ │ │ │ │ │ │ [2]: │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ -[<matplotlib.lines.Line2D at 0xee26dd70>] │ │ │ │ +[<matplotlib.lines.Line2D at 0xad888a90>] │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ ├── html2text {} │ │ │ │ │ @@ -20,15 +20,15 @@ │ │ │ │ │ [1]: │ │ │ │ │ import matplotlib.pyplot as plt │ │ │ │ │ The following cell has the nbsphinx-thumbnail tag: │ │ │ │ │ [2]: │ │ │ │ │ fig, ax = plt.subplots(figsize=[6, 3]) │ │ │ │ │ ax.plot([4, 9, 7, 20, 6, 33, 13, 23, 16, 62, 8]) │ │ │ │ │ [2]: │ │ │ │ │ -[] │ │ │ │ │ +[] │ │ │ │ │ [../_images/gallery_cell-tag_4_1.svg] │ │ │ │ │ ****** nbsphinx ****** │ │ │ │ │ **** Navigation **** │ │ │ │ │ * Installation │ │ │ │ │ * Usage │ │ │ │ │ * Markdown_Cells │ │ │ │ │ * Code_Cells │ │ │ ├── ./usr/share/doc/python-nbsphinx/html/gallery/cell-tag.ipynb.gz │ │ │ │ ├── cell-tag.ipynb │ │ │ │ │ ├── Pretty-printed │ │ │ │ │ │┄ Similarity: 0.9989821257872245% │ │ │ │ │ │┄ Differences: {"'cells'": "{2: {'metadata': {'execution': {'iopub.execute_input': '2024-01-10T14:30:42.382881Z', " │ │ │ │ │ │┄ "'iopub.status.busy': '2024-01-10T14:30:42.382106Z', 'iopub.status.idle': " │ │ │ │ │ │┄ "'2024-01-10T14:30:44.392852Z', 'shell.execute_reply': " │ │ │ │ │ │┄ "'2024-01-10T14:30:44.385720Z'}}}, 4: {'metadata': {'execution': " │ │ │ │ │ │┄ "{'iopub.execute_input': '2024-01-10T14:30:44.404942Z', 'iopub.status.busy': " │ │ │ │ │ │┄ "'2024-01-10T14:30:44.403990Z', 'iopub.status.idle': '2024-01-10T14:30:4 […] │ │ │ │ │ │ @@ -27,18 +27,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 1, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:53:06.763163Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:53:06.762405Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:53:08.100778Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:53:08.098896Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:42.382881Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:42.382106Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:44.392852Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:44.385720Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "import matplotlib.pyplot as plt" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ @@ -50,28 +50,28 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 2, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:53:08.111200Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:53:08.110312Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:53:09.059769Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:53:09.057722Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:44.404942Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:44.403990Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:45.804901Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:45.797541Z" │ │ │ │ │ │ }, │ │ │ │ │ │ "tags": [ │ │ │ │ │ │ "nbsphinx-thumbnail" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "text/plain": [ │ │ │ │ │ │ - "[]" │ │ │ │ │ │ + "[]" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ "execution_count": 2, │ │ │ │ │ │ "metadata": {}, │ │ │ │ │ │ "output_type": "execute_result" │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ @@ -117,20 +117,20 @@ │ │ │ │ │ │ "z\n", │ │ │ │ │ │ "\" style=\"fill: #ffffff\"/>\n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ @@ -522,15 +522,15 @@ │ │ │ │ │ │ "L 163.888636 160.746207 \n", │ │ │ │ │ │ "L 194.325 90.36 \n", │ │ │ │ │ │ "L 224.761364 142.497931 \n", │ │ │ │ │ │ "L 255.197727 116.428966 \n", │ │ │ │ │ │ "L 285.634091 134.677241 \n", │ │ │ │ │ │ "L 316.070455 14.76 \n", │ │ │ │ │ │ "L 346.506818 155.532414 \n", │ │ │ │ │ │ - "\" clip-path=\"url(#p4ba9fd955e)\" style=\"fill: none; stroke: #1f77b4; stroke-width: 1.5; stroke-linecap: square\"/>\n", │ │ │ │ │ │ + "\" clip-path=\"url(#p9113e52739)\" style=\"fill: none; stroke: #1f77b4; stroke-width: 1.5; stroke-linecap: square\"/>\n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ @@ -547,15 +547,15 @@ │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ "\n" │ │ │ │ │ │ ], │ │ │ │ │ │ "text/plain": [ │ │ │ │ │ │ "" │ │ │ ├── ./usr/share/doc/python-nbsphinx/html/gallery/multiple-outputs.ipynb.gz │ │ │ │ ├── multiple-outputs.ipynb │ │ │ │ │ ├── Pretty-printed │ │ │ │ │ │┄ Similarity: 0.9994791666666667% │ │ │ │ │ │┄ Differences: {"'cells'": "{2: {'metadata': {'execution': {'iopub.execute_input': '2024-01-10T14:30:52.899550Z', " │ │ │ │ │ │┄ "'iopub.status.busy': '2024-01-10T14:30:52.898730Z', 'iopub.status.idle': " │ │ │ │ │ │┄ "'2024-01-10T14:30:56.528921Z', 'shell.execute_reply': " │ │ │ │ │ │┄ "'2024-01-10T14:30:56.522257Z'}}}}"} │ │ │ │ │ │ @@ -37,18 +37,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 1, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:53:13.937936Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:53:13.936897Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:53:16.541064Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:53:16.538602Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:30:52.899550Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:30:52.898730Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:30:56.528921Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:30:56.522257Z" │ │ │ │ │ │ }, │ │ │ │ │ │ "nbsphinx-thumbnail": { │ │ │ │ │ │ "output-index": 2 │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ ├── ./usr/share/doc/python-nbsphinx/html/gallery/thumbnail-from-conf-py.ipynb.gz │ │ │ │ ├── thumbnail-from-conf-py.ipynb │ │ │ │ │ ├── Pretty-printed │ │ │ │ │ │┄ Similarity: 0.9986607142857142% │ │ │ │ │ │┄ Differences: {"'cells'": "{3: {'metadata': {'execution': {'iopub.execute_input': '2024-01-10T14:31:05.482716Z', " │ │ │ │ │ │┄ "'iopub.status.busy': '2024-01-10T14:31:05.481963Z', 'iopub.status.idle': " │ │ │ │ │ │┄ "'2024-01-10T14:31:07.818582Z', 'shell.execute_reply': " │ │ │ │ │ │┄ "'2024-01-10T14:31:07.816361Z'}}}, 4: {'metadata': {'execution': " │ │ │ │ │ │┄ "{'iopub.execute_input': '2024-01-10T14:31:07.835880Z', 'iopub.status.busy': " │ │ │ │ │ │┄ "'2024-01-10T14:31:07.834864Z', 'iopub.status.idle': '2024-01-10T14:31:0 […] │ │ │ │ │ │ @@ -49,50 +49,50 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 1, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:53:22.601596Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:53:22.600813Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:53:24.034492Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:53:24.032440Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:31:05.482716Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:31:05.481963Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:31:07.818582Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:31:07.816361Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "%matplotlib agg" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 2, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:53:24.043761Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:53:24.042876Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:53:24.056617Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:53:24.054343Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:31:07.835880Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:31:07.834864Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:31:07.844370Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:31:07.842199Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "import matplotlib.pyplot as plt" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 3, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:53:24.065665Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:53:24.064969Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:53:24.387366Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:53:24.385303Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:31:07.853769Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:31:07.853041Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:31:08.294835Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:31:08.292798Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "fig, ax = plt.subplots()\n", │ │ │ │ │ │ "ax.plot([4, 8, 15, 16, 23, 42])\n", │ │ │ │ │ │ "fig.savefig('a-local-file.png')" │ │ │ ├── ./usr/share/doc/python-nbsphinx/html/hidden-cells.ipynb │ │ │ │ ├── Pretty-printed │ │ │ │ │┄ Similarity: 0.9994140625% │ │ │ │ │┄ Differences: {"'cells'": "{2: {'metadata': {'execution': {'iopub.execute_input': '2024-01-10T14:31:17.366876Z', " │ │ │ │ │┄ "'iopub.status.busy': '2024-01-10T14:31:17.366099Z', 'iopub.status.idle': " │ │ │ │ │┄ "'2024-01-10T14:31:17.402258Z', 'shell.execute_reply': " │ │ │ │ │┄ "'2024-01-10T14:31:17.400366Z'}}}, 4: {'metadata': {'execution': " │ │ │ │ │┄ "{'iopub.execute_input': '2024-01-10T14:31:17.430759Z', 'iopub.status.busy': " │ │ │ │ │┄ "'2024-01-10T14:31:17.430068Z', 'iopub.status.idle': '2024-01-10T14:31:1 […] │ │ │ │ │ @@ -27,18 +27,18 @@ │ │ │ │ │ ] │ │ │ │ │ }, │ │ │ │ │ { │ │ │ │ │ "cell_type": "code", │ │ │ │ │ "execution_count": 1, │ │ │ │ │ "metadata": { │ │ │ │ │ "execution": { │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:53:30.827231Z", │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:53:30.826302Z", │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:53:30.854522Z", │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:53:30.852587Z" │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:31:17.366876Z", │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:31:17.366099Z", │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:31:17.402258Z", │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:31:17.400366Z" │ │ │ │ │ }, │ │ │ │ │ "nbsphinx": "hidden" │ │ │ │ │ }, │ │ │ │ │ "outputs": [], │ │ │ │ │ "source": [ │ │ │ │ │ "answer = 6 * 7" │ │ │ │ │ ] │ │ │ │ │ @@ -52,18 +52,18 @@ │ │ │ │ │ ] │ │ │ │ │ }, │ │ │ │ │ { │ │ │ │ │ "cell_type": "code", │ │ │ │ │ "execution_count": 2, │ │ │ │ │ "metadata": { │ │ │ │ │ "execution": { │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:53:30.862582Z", │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:53:30.861933Z", │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:53:30.894788Z", │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:53:30.892586Z" │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:31:17.430759Z", │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:31:17.430068Z", │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:31:17.498252Z", │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:31:17.496353Z" │ │ │ │ │ } │ │ │ │ │ }, │ │ │ │ │ "outputs": [ │ │ │ │ │ { │ │ │ │ │ "data": { │ │ │ │ │ "text/plain": [ │ │ │ │ │ "42" │ │ │ ├── ./usr/share/doc/python-nbsphinx/html/searchindex.js │ │ │ │ ├── js-beautify {} │ │ │ │ │ @@ -1095,18 +1095,18 @@ │ │ │ │ │ "exp": 8, │ │ │ │ │ "zmax": 8, │ │ │ │ │ "max": 8, │ │ │ │ │ "imshow": 8, │ │ │ │ │ "vmin": 8, │ │ │ │ │ "vmax": 8, │ │ │ │ │ "axesimag": 8, │ │ │ │ │ - "0xf5288d50": 8, │ │ │ │ │ + "0xad980d50": 8, │ │ │ │ │ "appropri": [9, 16, 18, 23, 28], │ │ │ │ │ "line2d": 9, │ │ │ │ │ - "0xee26dd70": 9, │ │ │ │ │ + "0xad888a90": 9, │ │ │ │ │ "thumbnail": [10, 13, 15, 28, 29], │ │ │ │ │ "what": [10, 14, 21, 25], │ │ │ │ │ "type": [10, 15, 21, 23, 28], │ │ │ │ │ "via": [12, 22], │ │ │ │ │ "nbsphinx_thumbnail": [12, 15], │ │ │ │ │ "kei": [12, 21, 28], │ │ │ │ │ "dictionari": [12, 28], │ │ │ ├── ./usr/share/doc/python-nbsphinx/html/subdir/a-notebook-in-a-subdir.ipynb.gz │ │ │ │ ├── a-notebook-in-a-subdir.ipynb │ │ │ │ │ ├── Pretty-printed │ │ │ │ │ │┄ Similarity: 0.99921875% │ │ │ │ │ │┄ Differences: {"'cells'": "{2: {'metadata': {'execution': {'iopub.execute_input': '2024-01-10T14:31:50.422944Z', " │ │ │ │ │ │┄ "'iopub.status.busy': '2024-01-10T14:31:50.422076Z', 'iopub.status.idle': " │ │ │ │ │ │┄ "'2024-01-10T14:31:50.518457Z', 'shell.execute_reply': " │ │ │ │ │ │┄ "'2024-01-10T14:31:50.516315Z'}}}}"} │ │ │ │ │ │ @@ -21,18 +21,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 1, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2024-01-10T13:54:01.332120Z", │ │ │ │ │ │ - "iopub.status.busy": "2024-01-10T13:54:01.331165Z", │ │ │ │ │ │ - "iopub.status.idle": "2024-01-10T13:54:01.391610Z", │ │ │ │ │ │ - "shell.execute_reply": "2024-01-10T13:54:01.389261Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-01-10T14:31:50.422944Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-01-10T14:31:50.422076Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-01-10T14:31:50.518457Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-01-10T14:31:50.516315Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "image/png": 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\n", │ │ │ │ │ │ "text/plain": [ │ │ │ ├── ./usr/share/doc/python-nbsphinx/nbsphinx.pdf │ │ │ │ ├── pdftotext {} - │ │ │ │ │ @@ -1975,15 +1975,15 @@ │ │ │ │ │ False │ │ │ │ │ True │ │ │ │ │ │ │ │ │ │ 4.3.7 YouTube Videos │ │ │ │ │ │ │ │ │ │ [31]: from IPython.display import YouTubeVideo │ │ │ │ │ YouTubeVideo('9_OIs49m56E') │ │ │ │ │ -[31]: │ │ │ │ │ +[31]: │ │ │ │ │ │ │ │ │ │ 4.3.8 Interactive Widgets (HTML only) │ │ │ │ │ The basic widget infrastructure is provided by the ipywidgets152 module. More advanced widgets are │ │ │ │ │ available in separate packages, see for example https://jupyter.org/widgets. │ │ │ │ │ The JavaScript code which is needed to display Jupyter widgets is loaded automatically (using RequireJS). If you want to use non-default URLs or local files, you can use the nbsphinx_widgets_path │ │ │ │ │ (page 12) and nbsphinx_requirejs_path (page 12) settings. │ │ │ │ │ Other Languages │ │ │ │ │ @@ -2799,15 +2799,15 @@ │ │ │ │ │ Metadata to Select a Thumbnail (page 55). │ │ │ │ │ │ │ │ │ │ [1]: import matplotlib.pyplot as plt │ │ │ │ │ The following cell has the nbsphinx-thumbnail tag: │ │ │ │ │ │ │ │ │ │ [2]: fig, ax = plt.subplots(figsize=[6, 3]) │ │ │ │ │ ax.plot([4, 9, 7, 20, 6, 33, 13, 23, 16, 62, 8]) │ │ │ │ │ -[2]: [] │ │ │ │ │ +[2]: [] │ │ │ │ │ │ │ │ │ │ 60 │ │ │ │ │ 50 │ │ │ │ │ 40 │ │ │ │ │ 30 │ │ │ │ │ 20 │ │ │ │ │ 10 │ │ │ │ │ @@ -2852,15 +2852,15 @@ │ │ │ │ │ html: │ │ │ │ │ │ │ │ │ │ [3]: x, y = np.meshgrid(np.arange(-3, 3, 0.1), np.arange(-2, 2, 0.1)) │ │ │ │ │ z = (1 - x / 2 + x ** 5 + y ** 3) * np.exp(-x ** 2 - y ** 2) │ │ │ │ │ [4]: zmax = np.max(np.abs(z)) │ │ │ │ │ [5]: fig, ax = plt.subplots(figsize=[5, 3.5]) │ │ │ │ │ ax.imshow(z, vmin=-zmax, vmax=zmax) │ │ │ │ │ -[5]: │ │ │ │ │ +[5]: │ │ │ │ │ │ │ │ │ │ 35 │ │ │ │ │ 30 │ │ │ │ │ 25 │ │ │ │ │ 20 │ │ │ │ │ 15 │ │ │ │ │ 10
[5]: │ │ │ │
│ │ │ │ -<matplotlib.image.AxesImage at 0xf5288d50> │ │ │ │ +<matplotlib.image.AxesImage at 0xad980d50> │ │ │ │
[2]: │ │ │ │
│ │ │ │ -[<matplotlib.lines.Line2D at 0xee26dd70>] │ │ │ │ +[<matplotlib.lines.Line2D at 0xad888a90>] │ │ │ │