--- /srv/reproducible-results/rbuild-debian/r-b-build.eJLyLKwP/b1/nbsphinx_0.9.5+ds-1_i386.changes +++ /srv/reproducible-results/rbuild-debian/r-b-build.eJLyLKwP/b2/nbsphinx_0.9.5+ds-1_i386.changes ├── Files │ @@ -1,3 +1,3 @@ │ │ - 132f8c1062e0b805e097af065ea3dabd 1285704 doc optional python-nbsphinx-doc_0.9.5+ds-1_all.deb │ + 5c3386bc91b73312eaa78708ceb1e0d3 1285988 doc optional python-nbsphinx-doc_0.9.5+ds-1_all.deb │ 31c69e090c3db3335b79a80177921eb0 39904 python optional python3-nbsphinx_0.9.5+ds-1_all.deb ├── python-nbsphinx-doc_0.9.5+ds-1_all.deb │ ├── file list │ │ @@ -1,3 +1,3 @@ │ │ -rw-r--r-- 0 0 0 4 2024-11-24 17:52:14.000000 debian-binary │ │ -rw-r--r-- 0 0 0 4600 2024-11-24 17:52:14.000000 control.tar.xz │ │ --rw-r--r-- 0 0 0 1280912 2024-11-24 17:52:14.000000 data.tar.xz │ │ +-rw-r--r-- 0 0 0 1281196 2024-11-24 17:52:14.000000 data.tar.xz │ ├── control.tar.xz │ │ ├── control.tar │ │ │ ├── ./md5sums │ │ │ │ ├── ./md5sums │ │ │ │ │┄ Files differ │ ├── data.tar.xz │ │ ├── data.tar │ │ │ ├── file list │ │ │ │ @@ -55,45 +55,45 @@ │ │ │ │ -rw-r--r-- 0 root (0) root (0) 2871 2024-08-13 16:57:38.000000 ./usr/share/doc/python-nbsphinx/html/_static/nbsphinx-no-thumbnail.svg │ │ │ │ -rw-r--r-- 0 root (0) root (0) 90 2024-10-25 18:53:47.000000 ./usr/share/doc/python-nbsphinx/html/_static/plus.png │ │ │ │ -rw-r--r-- 0 root (0) root (0) 5359 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/_static/pygments.css │ │ │ │ -rw-r--r-- 0 root (0) root (0) 27880 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/a-normal-rst-file.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 11062 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/allow-errors-per-cell.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3955 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/allow-errors-per-cell.ipynb │ │ │ │ -rw-r--r-- 0 root (0) root (0) 12309 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/allow-errors.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 1390 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/allow-errors.ipynb.gz │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 1393 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/allow-errors.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 170010 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/code-cells.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 122175 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/code-cells.ipynb.gz │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 122295 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/code-cells.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3032 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/conf.py.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 32500 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/configuration.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3369 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/configuration.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 13406 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/configuring-kernels.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3758 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/configuring-kernels.ipynb │ │ │ │ -rw-r--r-- 0 root (0) root (0) 14867 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/contributing.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 12913 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/custom-css.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 4066 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/custom-css.ipynb │ │ │ │ -rw-r--r-- 0 root (0) root (0) 9562 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/executing-notebooks.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 1556 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/executing-notebooks.ipynb │ │ │ │ drwxr-xr-x 0 root (0) root (0) 0 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/ │ │ │ │ -rw-r--r-- 0 root (0) root (0) 15555 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/a-local-file.png │ │ │ │ -rw-r--r-- 0 root (0) root (0) 14940 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/cell-metadata.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 18322 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/cell-metadata.ipynb.gz │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 18331 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/cell-metadata.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 13601 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/cell-tag.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 13669 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/cell-tag.ipynb.gz │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 13671 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/cell-tag.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 13538 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/default-thumbnail.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 14939 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/default-thumbnail.ipynb.gz │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 14944 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/default-thumbnail.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 10232 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/gallery-with-links.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 2566 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/gallery-with-links.ipynb │ │ │ │ -rw-r--r-- 0 root (0) root (0) 11778 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/gallery-with-nested-documents.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 3480 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/gallery-with-nested-documents.ipynb │ │ │ │ -rw-r--r-- 0 root (0) root (0) 45230 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/multiple-outputs.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 12561 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/multiple-outputs.ipynb.gz │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 12560 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/multiple-outputs.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 8569 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/no-thumbnail.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 979 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/no-thumbnail.ipynb │ │ │ │ -rw-r--r-- 0 root (0) root (0) 15061 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/thumbnail-from-conf-py.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 9963 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/thumbnail-from-conf-py.ipynb.gz │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 9959 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/thumbnail-from-conf-py.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 8543 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/uno-rst.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 971 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/gallery/uno-rst.ipynb │ │ │ │ -rw-r--r-- 0 root (0) root (0) 5203 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/genindex.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 8172 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/hidden-cells.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 2791 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/hidden-cells.ipynb │ │ │ │ -rw-r--r-- 0 root (0) root (0) 30515 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/index.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 18017 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/installation.html │ │ │ │ @@ -116,15 +116,15 @@ │ │ │ │ -rw-r--r-- 0 root (0) root (0) 2098 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/raw-cells.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 7361 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/references.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 270 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/requirements.txt │ │ │ │ -rw-r--r-- 0 root (0) root (0) 4786 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/search.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 58233 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/searchindex.js │ │ │ │ drwxr-xr-x 0 root (0) root (0) 0 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/subdir/ │ │ │ │ -rw-r--r-- 0 root (0) root (0) 9996 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/subdir/a-notebook-in-a-subdir.html │ │ │ │ --rw-r--r-- 0 root (0) root (0) 9478 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/subdir/a-notebook-in-a-subdir.ipynb.gz │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 9484 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/subdir/a-notebook-in-a-subdir.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 9945 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/subdir/gallery.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 2294 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/subdir/gallery.ipynb │ │ │ │ -rw-r--r-- 0 root (0) root (0) 14083 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/subdir/toctree.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 1692 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/subdir/toctree.ipynb.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 8782 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/timeout.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 1729 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/timeout.ipynb │ │ │ │ -rw-r--r-- 0 root (0) root (0) 44308 2024-11-24 17:52:14.000000 ./usr/share/doc/python-nbsphinx/html/usage.html │ │ │ ├── ./usr/share/doc/python-nbsphinx/html/_images/code-cells_36_0.svg │ │ │ │ @@ -77,24 +77,24 @@ │ │ │ │ 000004c0: 3a20 2366 6666 6666 6622 2f3e 0a20 2020 : #ffffff"/>. │ │ │ │ 000004d0: 3c2f 673e 0a20 2020 3c67 2069 643d 226d . . . . │ │ │ │ 00000520: 2020 2020 203c 6465 6673 3e0a 2020 2020 . │ │ │ │ -00000530: 2020 203c 7061 7468 2069 643d 226d 6239 . │ │ │ │ 00000590: 2020 3c2f 6465 6673 3e0a 2020 2020 2020 . │ │ │ │ 000005a0: 3c67 3e0a 2020 2020 2020 203c 7573 6520 . . │ │ │ │ 00000610: 2020 2020 2020 3c2f 673e 0a20 2020 2020 . │ │ │ │ 00000620: 3c2f 673e 0a20 2020 2020 3c67 2069 643d . . │ │ │ │ @@ -138,16 +138,16 @@ │ │ │ │ 00000890: 5361 6e73 2d33 3022 2f3e 0a20 2020 2020 Sans-30"/>. │ 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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", │ │ │ │ │ │ @@ -1208,15 +1208,15 @@ │ │ │ │ │ │ "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", │ │ │ │ │ │ - "\" 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" │ │ │ │ │ │ @@ -1265,34 +1265,34 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 18, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:12.677330Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:12.676833Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:12.686780Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:12.686080Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:43:38.366749Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:43:38.366058Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:43:38.395156Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:43:38.386300Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "%config InlineBackend.figure_formats = ['png']" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 19, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:12.689070Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:12.688583Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:12.778892Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:12.778345Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:43:38.404649Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:43:38.404180Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:43:38.659226Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:43:38.651756Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "image/png": 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", │ │ │ │ │ │ "text/plain": [ │ │ │ │ │ │ @@ -1316,34 +1316,34 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 20, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:12.781174Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:12.780673Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:12.785948Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:12.785422Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:43:38.672116Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:43:38.671652Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:43:38.718818Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:43:38.702779Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "%config InlineBackend.figure_formats = ['png2x']" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 21, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:12.787925Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:12.787455Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:12.906800Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:12.906284Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:43:38.728292Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:43:38.727797Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:43:39.286836Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:43:39.270785Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "image/png": 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AAAB+pqSqTjuPGXePJ6QneuzruZ53zcTwwERyDQAAAMCvbMgpUpN2aw3pEaNu0WEe+3rsXEMiuQYAAADgZ9xKwj3Ub91geO9YhQY1plZHi6uUX1rt0a8J70NyDQAAAMCvuA4z88T51k2FBQdpeO9Yw1oWu9cBh+QaAAAAgN84VVGr3cdLndcWi2f7rRtQGg6SawAAAAB+Y32Ocdd6WM9YxUeGevzrug4128pQs4BDcg0AAADAb3R1v3WDjL4JhuuvjxTL1nSqGvweyTUAAAAAv+Habz3Rw/3WDfomRigxqnGHvKLWpv35ZV3yteEdSK4BAAAA+IXC8hrtyyt3Xlst0vld0G8tSRaLRRmufdeUhgcUkmsAAAAAfmGdy671OX3iFBse0mVf33WoWRbJdUAhuQYAAADgF9z6rbuoJLzBKNehZkwMDygk1wAAAAD8gtv51l00zKzBeX3jZbE0Xu/LL1NZdV2XxgDzkFwDAAAA8Hl5pdXKLqhwXgdZLRqX1jX91g1iw0M0oHu089rhkLYfKenSGGAekmsAAAAAPs+133pkSpyiw4K7PA63vmtKwwMGyTUAAAAAn2d2v3WDDJe+a4aaBQ6SawAAAAA+z63f2qTk2nXneuvhYjkcDlNiQdfySHKdm5sri8XSpo9Nmza1+l6rVq1SZmamevfurfDwcKWmpuq2227T+vXrPRE6AAAAAB9zrLhKB09WOq9Dgiwam5ZgSixDesQoIiTIeV1YXqOjxVWmxIKu5dU71w899JCuvPJKLVu2TMePH1dNTY0OHz6spUuXatKkSXr22WfNDhEAAACAyVz7rc9LiVdkaNf3W0tScJBV56bEGdYoDQ8MHk+uV6xYobKyshY/Ro8e3exzzz//vBYsWCBJmjp1qjZs2KCCggJ99tlnmjBhgmw2m2bPnq133nnH038EAAAAAF7Mrd+6i4/gcpXRTGk4/J/Hf50TERGh6OjoM9/YRGFhoebOnStJuuSSS7Rs2TJZrad/DzB58mStXr1aGRkZ2rt3rx555BFdffXVCg0N7ezQAQAAAPgA135rs4aZNWiu7xr+zyvLwpcsWaKysjJJ0vz5852JdYOIiAjNmzdP0un+7hUrVnR5jAAAAADMd7ioUkdONfY0hwZZNbqfOf3WDTJSjV9/+9ES1dbbTYoGXcUrk+tly5ZJkvr3769x48Y1e09mZqbCw8MlSe+//36XxQYAAADAe7juWmekxiu8yUAxM/SMC1fP2HDndW29XXtOlJoYEbpClyXXtbW1bb53y5YtkqSJEye2eE9YWJgyMjIkSZs3b+5YcAAAAAB80jov67duQGl44PF4cv2Tn/xEMTExCgsLU1hYmEaMGKGHHnpIBw4caPb+o0ePOkvC09PTW33vhtf37dt3VmfHnTp1qsWP4uLidr8fAAAAgK7jcDi8rt+6QUZqvOGaieH+z+MDzXbu3On8vLa2Vrt27dKuXbv08ssv69lnn9UDDzxguL+wsND5eY8ePVp97+TkZElSTU2NysvLFRMT067YEhMT23U/AAAAAO9x8GSljpdUO6/Dgq0a5ZLUmoWd68DjkZ1rq9WqK664Qq+//rq2bdumkydPqrq6Wnv27NFvf/tbxcbGqra2Vg8++KAWLlxoeLaiosL5eUNPdUsiIiKcn5eXl3fuHwIAAACAV3PdtR6blqCwYHP7rRucmxKnIKvFeZ1TWKFTFW1vlYXv8cjOdWpqqj788EO39SFDhuixxx7TtddeqwsvvFAnT57Uo48+qhtuuEGxsbGSZCjvtlgsbu/RmYqKilp8rbi4+Ixl6QAAAADM43a+tZeUhEtSZGiwhvSI0a7jjYPMth4p1iVDkk2MCp5kyrTwoUOH6oknnpB0OsFtepRW0zOxq6qq3J5tqunr7T1LW5ISEhJa/IiPj2/3+wEAAADoGs32W3vJMLMGriXqW+m79mumHcV17bXXOj9vmA4uSUlJSc7P8/LyWn2P/Px8Sacnh59Ncg0AAADAN31TUKGCshrndWRokEamxJsXUDPouw4spiXXDcPIJBkmc/fp08c5mCw7O7vV98jJyZEkDR482OMl5AAAAAC8h3u/daJCgkxLb5o12nXn+nDxWZ1yBN9g2nffiRMnnJ8nJCQYXhs9erQkad26dS0+X1NT49zxHjNmjAciBAAAAOCt3M639qJ+6wbpSdGKCW8cc1VSVaecwopWnoAvMy25fuedd5yfNyTTDaZNmybp9M71pk2bmn1+2bJlqq4+PXY/MzPTQ1ECAAAA8DYOh0PrvLzfWpKsVgul4QHEI8n1kSNHWn19+/btmjt3rqTTZ01/73vfM7w+ffp0Z2n4Y489Jrvdbni9urpac+bMkSSlpaXpqquu6qTIAQAAAHi7fXnlOtnkWKvosGCd0zvWxIha5ppcZzHUzG95JLkeNWqUrr/+ei1evFjbt29XYWGhioqKtGXLFv3617/WxIkTnX3WL7zwgvMYrgZJSUnO5PuTTz5RZmamNm3apMLCQn3xxRe69NJLtXv3bknSc889p9DQUE/8MQAAAAB4obXfFBquz++fqGAv67duwM514PDIOdf19fV699139e6777Z4T2RkpH7/+99r+vTpzb7+8MMPKzc3Vy+++KKWL1+u5cuXG163Wq2aP3++rr/++k6NHQAAAIB3czuCywv7rRu4Jte7j5equs6m8JAgcwKCx3gkuV64cKH++9//av369Tpy5IhOnjypmpoaxcfHa9iwYbr88st11113qVevXq2+z4IFCzR16lS99NJL2rBhg4qKipScnKyLLrpIDz30kMaPH++J8AEAAAB4KbvdofU5RYY1b+y3btAtOkypiZE6VFQpSaq3O7TjaInGpiWaHBk6m0eS6+uuu07XXXddp7zXlClTNGXKlE55LwAAAAC+bfeJUhVX1jmvY8ODNayXd/ZbNxjVN96ZXEunS8NJrv2PdzYmAAAAAEAz1rocwTU+vZuCrBaTommbDJfzrhlq5p9IrgEAAAD4DLcjuLy437oBQ80CA8k1AAAAAJ9g87F+6wbDe8cqtMk086PFVcovrTYxIngCyTUAAAAAn7DzWInKquud1wmRIRrSI8bEiNomLDhIw13O4c5i99rvkFwDAAAA8Amu/dYT0rvJ6uX91g0oDfd/JNcAAAAAfILb+dY+UBLewHWo2VaGmvkdkmsAAAAAXq/OZtdG135rHxhm1iCjb4Lh+usjxbLZHSZFA08guQYAAADg9bYfLVFFrc15nRQdpoHJ0SZG1D59EyOUGBXqvK6otWl/fpmJEaGzkVwDAAAA8Hru/daJslh8o99akiwWi3vfNaXhfoXkGgAAAIDXczvf2of6rRtkuCTXWSTXfoXkGgAAAIBXq623a1PuKcOaL/VbNxjlOtSMieF+heQaAAAAgFfbdqRYVXWN/dY9YsPUPynKxIjOzsiUeMP1vvwyldfUN38zfA7JNQAAAACv5tpvPTG9m0/1WzeIiwgxDGFzOKSv2b32GyTXAAAAALyaW3Ltg/3WDVyHmmWRXPsNkmsAAAAAXqu6zqbNh1z7rZNMiqbj3CaGk1z7DZJrAAAAAF4r61Cxauvtzus+8RHqmxhhYkQdk+Ey1CzrULEcDoc5waBTkVwDAAAA8Fprs13Pt/bNfusGQ3rEKCIkyHldWF6jo8VVJkaEzkJyDQAAAMBrrfOjfmtJCg6y6tyUOMMa5137B5JrAAAAAF6pqtamrMMu/dY+nlxLUgZ9136J5BoAAACAV9p88JTqbI39yKmJkeoT77v91g0YauafSK4BAAAAeKW12YWG6wnpiSZF0rkyUhMM19uPlhiGtsE3kVwDAAAA8Er+dL51Uz3jwtUzNtx5XVtv154TpSZGhM5Acg0AAADA61TU1OvrIyWGNV8+39oVpeH+h+QaAAAAgNfZmFukentjv3X/pCj1jAtv5Qnf0tx51/BtJNcAAAAAvM667CLD9YR0/ygJb8DOtf8huQYAAADgddZm+2e/dYNzU+IUZLU4r3MKK3SqotbEiNBRJNcAAAAAvEpZdZ12HDX2W/vLpPAGkaHBGtIjxrC29UixOcGgU5BcAwAAAPAqG3OLZGvSbz0wOVrJMf7Tb91glEvf9Vb6rn0ayTUAAAAAr+J2BJef9Vs3oO/av5BcAwAAAPAq/t5v3WC068714WI5HI7mb4bXI7kGAAAA4DVKKuu081ipYc3fJoU3SE+KVkx4sPO6pKpOOYUVJkaEjiC5BgAAAOA11uecVNPN26E9Y5QYFWpeQB5ktVp0Xkq8YY3ScN9Fcg0AAADAa7iWhPvrrnWDDJfS8CyGmvkskmsAAAAAXsNtmJmf9ls3YKiZ/yC5BgAAAOAViipqtedEmfPaYpEm9A+s5Hr38VJV19nMCQYdQnINAAAAwCusdykJH94rVnGRISZF0zW6RYcpNTHSeV1vd2jH0RITI8LZIrkGAAAA4BXcjuDy837rBpSG+weSawAAAABeIdD6rRu4JtcMNfNNJNcAAAAATFdQVqP9+eXOa6tFGtc/0cSIuo7rxHB2rn0TyTUAAAAA061zKQk/t0+cYsP9u9+6wfDesQoNakzNjhZXKb+02sSIcDZIrgEAAACYzu186wApCZeksOAgDe8da1jLYvfa55BcAwAAADDdOtd+6wAZZtaAoWa+j+QaAAAAgKnySquVXVjhvA62WjQuLTD6rRu49V0z1MznkFwDAAAAMJXrlPCRKXGKCgs2KRpzZPRNMFx/faRYNrvDpGhwNkiuAQAAAJgqUI/gaqpvYoQSo0Kd1xW1Nu3PLzMxIrQXyTUAAAAAU7kOM5uYnmRSJOaxWCzufdeUhvsUkmsAAAAApjlaXKVDRZXO65Agi8b0S2jlCf+V4ZJcZ5Fc+xSSawAAAACmcS0Jz+iboIjQIJOiMdco16FmTAz3KV2aXBcUFCgpKUkWi0UWi0UzZ8484zOrVq1SZmamevfurfDwcKWmpuq2227T+vXrPR8wAAAAAI9yTa4D6XxrVyNT4g3X+/LLVF5Tb04waLcuTa5/+tOf6uTJk2e+8VsPPfSQrrzySi1btkzHjx9XTU2NDh8+rKVLl2rSpEl69tlnPRgtAAAAAE9yOBxa59ZvHbjJdVxEiAYmRzuvHQ7pa3avfUaXJdcrV67U0qVLlZ6e3qb7n3/+eS1YsECSNHXqVG3YsEEFBQX67LPPNGHCBNlsNs2ePVvvvPOOJ8MGAAAA4CGHi6p0tLjKeR0abHU77znQuA41yyK59hldklxXVFToRz/6kSTppZdeOuP9hYWFmjt3riTpkksu0bJlyzRu3DglJSVp8uTJWr16tYYMGSJJeuSRR1RbW+ux2AEAAAB4xtrsQsP1mNQEhYcEZr91A7eJ4STXPqNLkuvHH39cubm5uvnmmzVlypQz3r9kyRKVlZ0+023+/PmyWo1hRkREaN68eZKk3NxcrVixovODBgAAAOBRnG/tznXnPutQsRwOhznBoF08nlxv3LhRL774ouLi4vTCCy+06Zlly5ZJkvr3769x48Y1e09mZqbCw8MlSe+//37nBAsAAACgSzgcDvfzrUmuNaRHjCKa7N4XltcYSufhvTyaXNfX1+vuu++WzWbTU089pV69erXpuS1btkiSJk6c2OI9YWFhysjIkCRt3ry548ECAAAA6DI5hRXKK61xXkeEBOk8l2nZgSg4yKpz+8QZ1igN9w0eTa6feeYZbdu2TePHj9d9993XpmeOHj3qLAk/0/Czhtf37dtHqQQAAADgQ1x3rcemJSg0uEsPM/JazZWGw/sFe+qNDxw4oHnz5ikoKEgvv/yyW990SwoLG4ca9OjRo9V7k5OTJUk1NTUqLy9XTExMu2I8depUi68VFxe3670AAAAAtJ3b+dYBfASXK4aa+SaPJdf33HOPqqur9cgjj2jUqFFtfq6iosL5eUNPdUsiIiKcn59Ncp2YmNiu+wEAAAB03OnzrYsMa/RbNxrlsnO9/WiJauvt7Ox7OY/8r/P666/r008/VWpqqp544ol2Pdu0vNtisXR2aAAAAABMdiC/XIXljf3WUaFBbn3GgaxXXIR6xjZuNNbW27XnRKmJEaEtOn3nOi8vT7Nnz5Ykvfjii4qKimrX89HR0c7Pq6pan4rX9PWmz7VVUVFRi68VFxefsecbAAAAQPu59luP65+okCB2ZZsa1TdeK3eecF5vPVyskQx882qdnlz/4he/0KlTp3Tttddq2rRp7X4+KSnJ+XleXl6r9+bn50s6PTn8bJLrhISEdj8DAAAAoGPczrem39rNqFRjcp11qFjTWz5MCV6g0389lJ2dLUl67733ZLFYmv1osHjxYufaokWLJEl9+vRx9k43vFdLcnJyJEmDBw+mhBwAAADwAXa7Q+s43/qMMhhq5nO8svZi9OjRkqR169a1eE9NTY3zPOwxY8Z0SVwAAAAAOmZvXplOVdY5r2PCgjWiN/3Wrs5NiVOQtXEDMaewQqcqak2MCGfS6WXhr732msrLy1u9JyMjQ5J0zTXXaN68eZKk1NRU5+vTpk3T559/ruzsbG3atEljx451e49ly5apurpakpSZmdlZ4QMAAADwINeS8PP7JxqSSJwWGRqsIT1itOt44yCzrUeKdcmQZBOjQms6PbkeOHBgm+9NTExs9piu6dOna+7cuSorK9Njjz2mDz/80HBOdnV1tebMmSNJSktL01VXXdXhuAEAAAB4nuswM0rCWzYqNd6YXB8iufZmXlkWnpSUpLlz50qSPvnkE2VmZmrTpk0qLCzUF198oUsvvVS7d++WJD333HMKDQ01MVoAAAAAbWGzO7TeJbmewDCzFo2i79qndPrOdWd5+OGHlZubqxdffFHLly/X8uXLDa9brVbNnz9f119/vUkRAgAAAGiP3cdLVVpd77yOiwjR8F6xJkbk3Uanxhuutx4ulsPhYJizl/LKnesGCxYs0MqVKzVt2jT17NlToaGhSklJ0S233KI1a9bo0UcfNTtEAAAAAG3k2m89vn+irPRbtyg9KVox4Y37oSVVdcoprDAxIrTGlJ1rh8PR5nunTJmiKVOmeDAaAAAAAF2BI7jax2q16LyUeP33QKFzbevhYqV3jzYxKrTEq3euAQAAAPiHeptdG3KKDGsk12eW4VIannWo2JQ4cGYk1wAAAAA8buexUpXVNPZbJ0aFanByjIkR+QaGmvkOkmsAAAAAHud6BNeEdPqt28I1ud59vFTVdTZzgkGrSK4BAAAAeJzrMLOJHMHVJt2iw5SaGOm8rrc7tONoiYkRoSUk1wAAAAA8qs5m18Zc+q3PFqXhvoHkGgAAAIBHfX2kRJW1jaXM3WPCNICJ123mmlxnkVx7JZJrAAAAAB7legTXhPRusljot24r14nhW5kY7pVIrgEAAAB4FP3WHTO8d6xCgxpTt6PFVcovrTYxIjSH5BoAAACAx9TU27TpIP3WHREWHKRhvWMNa5SGex+SawAAAAAes+1wiarr7M7rnrHhSusW2coTaE4GQ828Hsk1AAAAAI9xKwkfQL/12aDv2vuRXAMAAADwmLXZhYZr+q3PjuvE8K+PFMtmd5gTDJpFcg0AAADAI6rrbNrissNKv/XZSU2MVGJUqPO6otam/fllJkYEVyTXAAAAADxiy6FTqq1v7LfuEx+hvon0W58Ni8XitntNabh3IbkGAAAA4BHrmum3xtlzHWqWRXLtVUiuAQAAAHjE2mzOt+5Mo1yHmjEx3KuQXAMAAADodFW1Nrfkj53rjhmZEm+43pdfpvKaenOCgRuSawAAAACdbtPBItXZGqdZ9+sWqd7xESZG5PviIkI0MDnaee1wSF+ze+01SK4BAAAAdDq3860pCe8UrkPNskiuvQbJNQAAAIBO59ZvTUl4p3CbGE5y7TVIrgEAAAB0qvKaen19pMSwxs5158hwGWqWdahYDoej+ZvRpUiuAQAAAHSqjblFstkbE7707lFKjg03MSL/MaRHjCJCgpzXheU1OlpcZWJEaEByDQAAAKBTuZ1vza51pwkOsurcPnGGNUrDvQPJNQAAAIBORb+1ZzVXGg7zkVwDAAAA6DSl1XXacdTYbz2BnetOxVAz70RyDQAAAKDTbMguUpN2aw3uEa2k6DDzAvJDo1x2rnccLVFtvd2cYOBEcg0AAACg07iVhLNr3el6xUWoZ5MBcTX1du05UWpiRJBIrgEAAAB0orWuw8zot/YISsO9D8k1AAAAgE5RXFmr3U12UC0WaXx/kmtPcC0N38pQM9ORXAMAAADoFOuyi+Ro0m89tGesEqJCzQvIj2W47FxnsXNtOpJrAAAAAJ1iHf3WXebclDgFWS3O65zCCp2qqDUxIpBcAwAAAOgU9Ft3ncjQYA3uEWNY23qk2JxgIInkGgAAAEAnOFleo715Zc5rq0U6v3+iiRH5vwz6rr0KyTUAAACADluXXWS4HtE7TnERISZFExiYGO5dSK4BAAAAdNja7ELDNSXhnuc61Gzr4WI5mk6UQ5ciuQYAALLbHVq6/pCeWrFb+5qUdQJAW7n1WzPMzOMGdI9WTFiw87qkqk45hRUmRhTYSK4BAID+/Pk3+p93t+svX2TrppfX6mhxldkhAfAh+aXV+qagMakLslo0Ni3BxIgCg9Vq0XmUhnsNkmsAAAJcZW29Xvn8G+d1SVWdfrtit4kRAfA1a12O4DqnT5xiwum37gquQ82yGGpmGpJrAAAC3Dtbjqq0ut6wtvzr41rv8sMyALSE863Nw1Az70FyDQBAAHM4HFq0JrfZ1+b+e5dsdgbjADgzzrc2j2tyvft4qarrbOYEE+BIrgEACGD/PVCoA/nlzb62+3ip3t5wqIsjAuBrjpdUKfdkpfM62GrR2H70W3eVbtFhSk2MdF7X2x3acbTExIgCF8k1AAABbOFXuYbrYKvFcP3ch3tVXFnbhREB8DWuu9bn9Y1XVJMJ1vA8SsO9A8k1AAABKqewQqv35BvW/vCDDEWEBDmvT1XW6YWP9nV1aAB8CEdwmc81uc4iuTYFyTUAAAFqsUuv9ciUOF11bk/95NKBhvW31h/SnhOlXRgZAF+yLod+a7O5TgzfysRwU5BcAwAQgMqq6/SvzUcMazMvSJPFYtGdF/Y39O/Z7A49sWyXHA6GmwEwOnKqUoeLqpzXoUFWjaHfussN7x2r0KDG1O5ocZXyy6pNjCgwkVwDABCA/rX5iMprGo/fSooO09SRvSRJ4SFBenzqMMP9a7NPauWOE10aIwDv51oSPio1XuFNWkvQNcKCgzSsd6xhjd3rrkdyDQBAgLHbHW4l4T+ckKqw4MYfiK8Y3kMXDUoy3POb/+zmeBcABms539prZNB3bTqSawAAAsyne/MNx+aEBFl06/hUwz0Wi0VzrhlumB5+tLhKr3ye3WVxAvBuDodD6zjf2mvQd20+kmsAAAKM6/Fb14zsreSYcLf7BibHaPrENMPanz8/oKPFVW73Agg8h4oqdayksa83LNjqluCh67hODP/6SLFsdmZldCWPJNdHjhzRn//8Z915550aN26cUlNTFRERocjISA0YMEC33HKLPvjggza/36pVq5SZmanevXsrPDxcqampuu2227R+/XpPhA8AgN/an1em/x4oNKzNmtS/xfsfunyQukWFOq+r6+x6asVuj8UHwHe49luP6ZdgaC9B10pNjFRik7+vK2pt2p9fZmJEgccjyfXy5cv14x//WG+88YY2bdqkw4cPq7q6WlVVVcrOztbf/vY3XXXVVcrMzFRlZWWr7/XQQw/pyiuv1LJly3T8+HHV1NTo8OHDWrp0qSZNmqRnn33WE38EAAD80kKXXuux/RJ0bkpci/fHRYRo9pQhhrX/fH1c61z6LAEEHvqtvYvFYnHbvaY0vGt5JLkODw/XlClT9PTTT+ujjz7Szp07VVhYqH379umdd97RRRddJElatmyZ7rrrrhbf5/nnn9eCBQskSVOnTtWGDRtUUFCgzz77TBMmTJDNZtPs2bP1zjvveOKPAQCAXymurNU7W1yO35qUdsbnbhrbV+f0MU6hnbtsp+pt9s4MD4APcTgcbjvX9FubzzW5ziK57lIWhwmHVjocDl199dVasWKFJCknJ0dpaWmGewoLC5Wenq6ysjJdcskl+vjjj2W1Nv4uoKqqShkZGdq7d6/S0tK0d+9ehYaGqrOcOnVKiYmJkqSioiIlJHBeHwDAt73y+Tf67Qd7nNe94sL1xc8uUUjQmX/Xvim3SDe+vNaw9uS15+j2Cf06PU4A3u+bgnJd9tznzuuIkCBtm/NdhQYz0slMX+4v0O2vb3BeD+kRo1X/7zsmRuTdOjvnM+W732Kx6M4773Reb9682e2eJUuWqKzsdI/A/PnzDYm1JEVERGjevHmSpNzcXGeiDgAA3NXb7Fqy9qBh7faJ/dqUWEvS2LREXTuqt2HtuQ/3qriyttNiBOA7XHetx6YlkFh7gZEp8YbrffllKq+pNyeYAGTafwEhISHOz8PD3SeULlu2TJLUv39/jRs3rtn3yMzMdD77/vvveyBKAAD8w0e78gxTvsOCrbplXGorT7h77HvDFBnaOKyouLJOz3+0r9NiBOA73PqtKQn3CnERIRrQPcp57XBIX3PedZcxLbn+29/+Jul0kp2RkeH2+pYtWyRJEydObPE9wsLCnM82t/sNAABOcx1kdl1GHyVEta+dqmdcuO6/ZKBh7a11B7X7eGlHwwPgQxwOh9YzzMxrZaQaS5uzSK67TJcm1wUFBfryyy910003aenSpZKkn/70p+rd21hmdvToUWdJeHp6eqvv2fD6vn371N728VOnTrX4UVxc3K73AgDAW+08VqINOUWGtbYMMmvOnRf2V79ukc5ru0N64t872/1vMADftT+/XIXljS0h0WHBOrdPy6cOoGu5TQwnue4ywZ7+AjNnztTixYvd1uPj4zV79mz94he/cHutsLDx/M0ePXq0+v7JycmSpJqaGpWXlysmJqbNsTU0rwMA4M8WfpVruJ6Y3k1De8Y2f/MZhIcE6fGpw3X3kk3OtXXZRVqx/YSmjuzVkTAB+AjXfutxaQkKbuP8BnhecxPDHQ6HLBaLOQEFEFP+K7Barbrjjjt08803N/s/ckVFhfPz5vqxm4qIiHB+Xl5e3nlBAgDgBwrLa7Rs6zHD2qyz3LVucPmwZF00KMmw9tSK3aqqtXXofQH4Bo7g8m5De8YoPKQxzSssrzHM3IDneDy5fuWVV1RWVqbS0lIdPnxY77//vi699FI9//zzGjlypP7xj3+4PdO0tMyTv2EpKipq8SM7O9tjXxcAgK7y9vpDqm1yHnXfxAhdNqz1qrAzsVgsmnPNcAVbG/+NPlpcpVe++KZD7wvA+9ntDq3Lce23TmrhbpghOMiqkX3iDWuUhncNjyfXYWFhio6OVkxMjFJSUjRt2jR99NFHuu+++1RZWalbb71VmzZtMjwTHR3t/LyqqvXfsjR9velzbZGQkNDiR3x8fLveCwAAb1Nbb9eb64zHb82YmKYga8d/cT0wOUYzLkgzrP35s2905FRlh98bgPfac6JMxZV1zuvY8GAN7312bSbwnIzUeMN11qFiU+IINKY1RzzzzDOKjIyUzWbTH/7wB8NrSUmNv/3Ky8tr9X3y8/MlNSbxAADgtA92HFd+WY3zOjI0SDeN7dtp7//Q5YOUFN04cbym3q7frtjTae8PwPu4HsF1fv9unfILO3QuhpqZw7TkOjo6WiNGjJAkZWVlGV7r06ePczDZmcqzc3JyJEmDBw+mSR8AgCZcB5ndOCZFcREhnfb+seEhmj1liGHtP9uPa803hS08AcDX0W/tG0a57FzvOFqi2np78zej05g61q++vr7F10aPHi1JWrduXYv31NTUOM/DHjNmTOcGBwCAD8s6dMptp8K1jLsz3DSmr0amGI/gmffvXaq38UMc4G9sdofWu/Vbk1x7o15xEeoZ2zgYuqberj0nSk2MKDCYllyfPHlSO3bskCQNGDDA7fVp06ZJOr1z7dqT3WDZsmWqrq6WJGVmZnooUgAAfI/rrvXkwd01oHvnt09ZrRbNuWaEYW3PiTIt3XCo078WAHPtOlaqsurGzbGEyBAN7dn2Y3DRtSgN73oeSa53797d6us2m03333+/6upOD0O46aab3O6ZPn26szT8sccek91u/A14dXW15syZI0lKS0vTVVdd1RmhAwDg8/JKq7Vi+3HDWkeP32rNmH4Juj6jj2HtuQ/36VRFrce+JoCutzbb2PIxvn83Wem39lqupeFbGWrmcR5Jrs855xxdc801euONN7Rt2zbl5+eruLhY+/bt0+LFizV+/Hj9/e9/lyRNnjxZt956q9t7JCUlae7cuZKkTz75RJmZmdq0aZMKCwv1xRdf6NJLL3Um8c8995xCQ0Pd3gMAgED01rqDqrc3HmuZ3j1K3xnU3aNf8+ffG6rI0CDndUlVnZ77aK9HvyaArkW/tW/JcNm5zmLn2uOCPfGmdrtdy5cv1/Lly1u978Ybb9TChQtltTaf4z/88MPKzc3Viy++2Oz7Wa1WzZ8/X9dff32nxQ4AgC+rrrNp6XpjSfbMC9I8vrvUIzZcP7l0oJ5e2ZhQL11/SLee349jegA/UG+za2PuKcMaybV3OzclTkFWi2zf/rI1p7BCxZW1io9kU9JTPLJz/eWXX2revHm64oorNGjQIMXFxSk4OFiJiYkaM2aM7r//fq1du1b//Oc/z3h81oIFC7Ry5UpNmzZNPXv2VGhoqFJSUnTLLbdozZo1evTRRz3xRwAAwCf9e9sxnWxSjh0THqwbRqd0yde+88L+6tct0nltd0hz/71TDoejlacA+ILtR0tUXtPYb50UHapByRyD680iQ4M1uIexJ56+a8/yyM71hRdeqAsvvLDT3m/KlCmaMmVKp70fAAD+yOFwuA0yu3lsX0WFeeSfezdhwUH61dThumtJ4yDSDTlF+s/247p6ZO8uiQGAZ7iebz0+vRvH4PqAjNR47T7eOCU861CxLh6SbGJE/s3Uo7gAAEDn2ZBTpF1NfoiyWDxz/FZrLhuWrMmDjf3dT/1nt6pqbV0aB4DO5dZvzRFcPoGJ4V2L5BoAAD/humt9+bAe6psY2fzNHmKxWPSrq4cruEmP97GSav3582+6NA4Anae23q5N9Fv7JNehZlsPF9Oq40Ek1wAA+IEjpyr14a4ThjVPHr/VmoHJ0W5f+5XPv9HhokpT4gHQMV8fKVZVXWP1SXJMmNKTokyMCG01oHu0Ypq0BpVU1SmnsMLEiPwbyTUAAH7gzbUH1eT0LQ3tGWNq2eYDlw1SUnTjRNqaerueWrHbtHgAnL3mjuCi39o3WK0WnUdpeJchuQYAwMdV1tbr7Q3ux2+Z+cNvbHiIfnblUMPaBztOaM2BQpMiAnC2XIeZ0W/tW1z7rrMOFZsSRyAguQYAwMe9m3VUpdWNR+QkRIbo2ow+JkZ02o2jU3ReSpxh7Yl/71K9zW5SRADaq6beps0H6bf2ZRmp8YZrdq49h+QaAAAf5nA4tMhlkNkt56cqPCTInICasFotmjNthGFtb16Z/rr+UAtPAPA2WYeKVVPf+Aux3nHhSu3iQYnoGNed693HS1VdxwkOnkByDQCAD/vvgULtzy93XgdZLfrhhH4mRmQ0OjVB14827qI/9+FeFVXUmhQRgPZw7beeQL+1z+kWHaa+iRHO63q7QzuOlpgYkf8iuQYAwIe57lpfeU5P9Y6PaP5mkzx25VBFhTbupJdW1+u5D/eaGBGAtqLf2j9k9E0wXFMa7hkk1wAA+Kjcwgqt3ptvWLvDpOO3WpMcG64HLhtkWHt7wyHtPMbOCeDNquts2uoy/GoCybVPchtqRnLtESTXAAD4qEVrcuVocvzWyJQ4jU5NaPkBE82alKa0bo19mnaH9MSyXXI0/QMA8CqbD55SbZMBhCkJEepLv7VPGuU61IyJ4R5Bcg0AgA8qq67TvzYfMayZffxWa8KCg/Tra4Yb1jbkFmn518dNigjAmbidb82utc8a0TtWoUGNqd/R4irll1WbGJF/IrkGAMAH/WvzEZXXNB6/lRQdpqkje5kY0ZldOrSHLh7S3bD21Irdqqytb+EJAGZy67fmCC6fFRYcpGG9Yw1r7F53PpJrAAB8jN3u0OI1uYa1H05IVViw+cdvncmvrh6ukKDG3fXjJdV6+bNvTIwIQHMqauq1zaUvl+Tat2XQd+1xJNcAAPiYT/fmK/dkpfM6JMiiW8enmhhR2w3oHq1Zk/ob1l7+IluHiypbeAKAGTYdPKV6e+NMhLRukeoV510nEaB9Mui79jiSawAAfMwil13ra0b2VnJMuDnBnIUHLh2opOgw53VtvV3/+5/dJkYEwJVbvzW71j7PdWL410eKZbMzVLIzkVwDAOBD9ueV6cv9hYY1151gbxcTHqKfXznEsLZy5wl9daCwhScAdDXXfmuO4PJ9qYmRSowKdV5X1Nq0P7/MxIj8D8k1AAA+ZKHLrvWYfgk6NyXOnGA64IbRKTrPZRfliX/vVH2TY38AmKOsuk47jhrPoWdSuO+zWCxuu9eUhncukmsAAHxESWWd3tliPH5r1qQ0c4LpIKvVorkuR3PtyyvXW+sOmhQRgAabck8ZyoUHdI9ScqzvtJ6gZW7JNUPNOhXJNQAAPuJvGw+puq5xZ7dXXLimjOhpYkQdk5GaoBtGpxjWnv9on06W15gUEQCJI7j8metQsyx2rjsVyTUAAD6g3mbXkrXGXd3bJ/ZTSJBv/1P+8yuHKDos2HldWl2v5z7aZ2JEANyGmaUnmRQJOtvIlHjD9b78MpXX1JsTjB/y7X+RAQAIEB/vztPR4irndViwVbeM843jt1qTHBuuBy4daFh7e8Mht35PAF2jpKpOO48Z//ubkJ5oUjTobHERIRrQPcp57XBIX1Ma3mlIrgEA8AFvfJVruL4uo48Smkx99WWzJvVXepLxh70n/r1TDgdHxABdbUNOkZqezjSkR4y6NTk6D74vIzXBcJ1Fct1pSK4BAPByO4+VaENOkWFtpo8OMmtOaLBVv7raONxsY+4pLdt2zKSIgMDF+db+j6FmnkNyDQCAl1vosms9Mb2bhvaMNScYD7lkaLIuGdLdsPbbFXtUWUsvINCVON/a/7km11mHiqkU6iQk1wAAeLHC8hot22rcwfXV47fO5FdXD1dIkMV5faK0Wi99+o2JEQGB5VRFrXYfL3VeWyz0W/ujoT1jFB7SmAYWltcYZnrg7JFcAwDgxd5ef0i1tsbjt/omRuiyYT1MjMhz0rtH645J/Q1rf/kyW4dOVpoUERBY1ucYd62H9YxVfKR/zHZAo+Agq0b2iTesURreOUiuAQDwUrX1dr25znj81oyJaQqyWlp4wvf95NKB6h7TODyptt6u/12xy8SIgMBBv3XgGMV51x5Bcg0AgJf6YMdx5ZfVOK8jQ4N009i+JkbkeTHhIfr5lUMNa6t25um/+wtNiggIHK791hPpt/ZbGQw18wiSawAAvJTrILMbx6QoLiLEnGC60PUZfdwG7jzx752qa1IeD6BzFZbXaF9eufPaapHOp9/ab7nuXO84WqLaev6O7SiSawAAvFDWoVNuOwkzLkgzJZauZrVaNHfaCMPa/vxyvbn2YAtPAOiodS671uf0iVNsuP//Mi9Q9YqLUI/Yxhacmnq79pwobeUJtAXJNQAAXmjRmlzD9eTB3TWge7Q5wZhgVN943TQmxbD2wsf7dLK8poUnAHSEW781JeF+L6NvguGa0vCOI7kGAMDL5JVW6z9fHzes+evxW62ZfeUQRYcFO6/Lquv17Id7TYwI8F9u51szzMzvuZaGb2WoWYeRXAMA4GXeWndQ9XaH8zq9e5S+M6i7iRGZIzkmXA9eNtCw9reNh7XjaIlJEQH+Ka+0WtkFFc7rIKtF49Lot/Z3rrMtsti57jCSawAAvEh1nU1L1x8yrM28IE1WPz5+qzUzL+iv9KQo57XDIc1dtlMOh6OVp+DrqutsZocQUFz7rUemxBmqRuCfRqbEqek/LTmFFSqurDUvID9Acg0AgBf597ZjOlnR+MNNTHiwbhid0soT/i002KpfXTPcsLbp4Ckt23bMpIjgSYXlNbpz0UYN+/VKffeFz/XJ7jyzQwoI9FsHpsjQYA3pGWtYo++6Y0iuAQDwEg6Hw+34rZvH9lVUgO8gXTIkWZcNTTasPbVitypq6k2KCJ5wIL9M1730lT7Zky+HQ9qXV647F2/SnYs26tDJSrPD82tu51vTbx0wMlz6rrPou+4QkmsAALzEhpwi7TreeBSKxSJNn5hmXkBe5PGrhyskqLF+Ma+0Ri99dsDEiNCZvjpQqOteWqPDRVVur32yJ1+Xv/C5XvhoH+XiHnCsuEoHm/zyIiTIorH96LcOFK591+xcdwzJNQAAXsL1+K3Lh/VQardIc4LxMv2TonTnhemGtVe/yNHBkxUtPAFf8feNhzTjjQ0qq265EqG23q4/fLJfV7zwuT7eRal4Z3ItCR/VN14RoUEmRYOultFMcs1Mi7NHcg0AgBc4cqpSq3aeMKwF4vFbrfnJpQOVHBPmvK612fWb/+w2MSJ0hN3u0PyVe/Tz/9tumI4vSddl9NHYfgluzxwuqtJdSzbpjkUb+cVKJ3ErCaffOqAM6B6tmCatRyVVdcop5L+ts0VyDQCAF3hz7UE1zS+G9ozhh1wX0WHBeux7Qw1rH+3K0xf7CkyKCGerus6mB97O0p8/+8bttce+N1TPf/88/fO+iXrupvOUFB3qds/qPfm64oUv9Dyl4h3munPN+daBxWq16DxKwzsNyTUAACarrK3X2xvcj9+yWALz+K3WXDuqj9sAnnnLd6nOZjcnILRbQVmNfvCXdfrP9uOG9bBgq/5822jdN3mALBaLLBaLbhiTok8eufj0cXQu/znU1tu14JP9uvz5z/XRrjxKWc/C4aJKHS1u7HMPDbZqdKp7xQD8m9t51ww1O2sk1wAAmOzdrKMqbdJvmhAZomsz+pgYkfeyWi2ae80INf29w4H8ci1Ze9C8oNBm+/NOTwR33RlLig7V3+6ZoO+d28vtmbiIEM2dNkLLH7hI49LcE78jp6p0N6XiZ8V113p0arzCQ+i3DjSuv7Bk5/rskVwDAGAih8OhRS7Hb91yfio/4LbivL7xummM8ezv33+0T4XlNSZFhLb47/5CXf/SGh05ZZwIPig5Wu/+eJIyzrBjOrx3rP5x70Q9//3zlBQd5vb6p3sLTpeKf7hXVbWUireFe791kkmRwEyuO9e7j5fSbnGWSK4BADDRVwdOan9+ufM6yGrRDyf0MzEi3zB7ylDDEJ6ymno9u2qviRGhNX/bcEgzF25QmcvZ5BcNStL//fgC9U1s21R8i8Wi60enaPWjkzVrUgul4qsP6IoXPteHO09QKt4Kh8PhtnPN+daBqVt0mPomRjiv6+0O7ThaYmJEvovkGgAAEy38KsdwfeU5PdU7PqKFu9Gge0yYHrp8kGHt75sOa/sRfiD0Jna7Q7/7YI8ee8d9Ivgt56fqjZnjFBse0u73jQ0P0ZxrRug/D7ZcKn7Pm5t1x6KNymXycbNyT1bqRGm18zo8xKrz+saZGBHMlNHX+N8RpeFnh+QaAACT5BZWaPXefMPaHRy/1WbTJ6YpvXuU89rhkOb+eye7lV6ius6mn7y9RS9/bpwIbrFI/3PVUD113TkKCerYj6LDep25VPy7lIo3y3XXemy/RIUF044SqNyGmpFcnxWSawAATLJ4ba6a5oHn9oljUm87hAZb9eurhxvWNh88pfe3HjMpIjQoKKvRzX9ZpxXbjWe3h4ecngh+z3cGdNo0fNdS8SCXWvFa2+lS8cufp1S8Kbd+a0rCA9oo16FmTAw/Kx5Jruvr6/XRRx/p0Ucf1YUXXqju3bsrJCRE8fHxGjNmjB577DEdPNj2qZ6rVq1SZmamevfurfDwcKWmpuq2227T+vXrPRE+AAAeV1Zdp39uOmJYmzWJ47fa6+Ihybp8WLJh7bcf7FaFS28vus6+vDJd+6evtM1tIniY/n7PRF15jvtE8M7QUCq+/IELmy0VP1p8ulR8FqXizfZbT0gnuQ5kI3rHKrRJJcnR4irll1W38gSa45HkevTo0frud7+r5557Tl999ZUKCwtVX1+vkpISbdmyRfPnz9fw4cO1ePHiM77XQw89pCuvvFLLli3T8ePHVVNTo8OHD2vp0qWaNGmSnn32WU/8EQAA8Kh/bT6i8iYJYFJ0mKaO9EzS4e8enzrc8ENhXmmN/vTpARMjClxf7i/QDS+tMZydLEmDe0Trvfsv0Hkupaee0FAq/sLNzZeKf/ZtqfhzAVwq/k1BuWG6fmRokEam0G8dyMKCgzSsd6xhjd3r9vNIcl1aWiqr1aorrrhCf/nLX7Rjxw6dPHlS2dnZ+tOf/qRu3bqpsrJSs2bN0ooVK1p8n+eff14LFiyQJE2dOlUbNmxQQUGBPvvsM02YMEE2m02zZ8/WO++844k/BgAAHmG3O7R4Ta5h7YcTUul3PEtpSVG686L+hrXXvswJ+N3Jrvb2hkOauXBjsxPB//WjC5SS0LaJ4J3BYrHouozTpeJ3TOrfbKn4i9+Wiq8KwFJx113rcWmJHe5/h+/LoO+6wzzyX9H3v/997d69Wx9++KHuvvtujRgxQomJierfv79+/OMf67///a+ioqLkcDg0e/bsZt+jsLBQc+fOlSRdcsklWrZsmcaNG6ekpCRNnjxZq1ev1pAhQyRJjzzyiGpraz3xRwEAoNN9ti9fuScrndchQRbdOj7VxIh8308uGagesY27lLU2u37zn90mRhQ47HaHfrtit37xznbZXCaC3zr+7CeCd4bY8BD9+prh+s+DF+r8tES3148WV+neACwVp98azcmg77rDPJJcP/300xo8eHCLrw8dOlSzZs2SJO3atavZ/uslS5aorKxMkjR//nxZrcZQIyIiNG/ePElSbm5uqzvgAAB4k4Vf5RqurxnZW8kx4eYE4yeiwoL12PeGGtY+3p2nz/cVmBRRYKiqtenHf92iV77INqxbLNIvrxqm/7224xPBO8PQnrH6+70T9PubR6l7TGCXitvtDq3LLjKsTaTfGnKfGP71kWK3X5ihdab9bXfOOec4Pz92zH2q57JlyyRJ/fv317hx45p9j8zMTIWHn/5h5P333/dAlAAAdK79eWX6cn+hYW3WpP4t3I32uHZUH4122Xl54t87VVtvNycgP5dfVq0f/GWtVu5sbiL4GN39nXSvGtBnsVh0bUYfrX5ksu68MHBLxffll6moorHiMzosWCNcem0RmFITI5UYFeq8rqi1aX9+mYkR+R7Tkuu8vDzn53Fx7gMUtmzZIkmaOHFii+8RFhamjIwMSdLmzZs7OUIAADrfIpde6zH9EnQug4Q6hcVi0dxpI9Q0n8suqNCStbmmxeSv9p4o03V/WqNtR0oM691jGiaC9zQpsjOLCQ/Rr67+tlS8f8ul4jMXblSOH5aKu/Zbn98/UcFeUF0A81ksFrfda0rD28e0/5IahpAlJiY6e6cbHD161FkSnp6e3ur7NLy+b98+v/0NIwD/d/BkhY65TNeF/ymprNM7W44a1mZNSjMnGD81MiVe3x/T17D2h4/3q6CspoUn0F5f7i/QjX92nwg+pEeM3rt/UpdMBO8MQ3vG6u/3tFwq/vm+Ak154Qs9u8q/SsVdk2tKwtGUW3LNULN2MSW5XrhwobZt2yZJuvfeexUUZJyOWljYWC7Xo0ePVt8rOfn02ZY1NTUqLy9vVxynTp1q8aO4uLhd7wUAZ8PhcGjusp2a/MxnuujpT/WXL74xOyR40N82HlJVXeMP6b3iwjVlhPfu8Pmq2VcOUUxYsPO6rKZez67aa2JE/mPp+uYngn9ncHf960cT1Sc+wqTIzk5bSsX/+OnpUvGVO3y/VNxud2h9jku/NcPM0ITrULMsdq7bpcuT6127dunBBx+UJPXr108///nP3e6pqGgswWnoqW5JRETjX+LtTa4TExNb/DjTjjkAdIanV+11lgnb7A49tWKPlm1zn0MB31dvs2vJWuMAzx9O6OcVw578TVJ0mB66fJBh7R+bD+vrI8XmBOQH7HaHnlqxW//zrvtE8NvGp+qNGWMVY9JE8M7QUCq+4sGLWiwVv++tzZrh46Xiu46XqqSqznkdGx6sYb3ot0ajkSnxhut9+WUqd/llGlrWpf+i5+fna9q0aSovL1doaKiWLl3abL91098KetMgDADoTAu/ytGfP3PfqZ79z22UYfmhj3fnGcpow4KtuvV8jt/ylBkXpGlgcrTz2uGQ5i7bKTuTb9utqtamH/11s/7SzETwx6cO02+uPcdvenaH9IzR3++ZoD/8oPlS8S++LRV/ZtUeVdb6XsKxzuUIrvHp3dx26xHY4iJCNKB7lPPa4RC/mGyHLvubsKSkRFOmTNE333yjoKAgLV26VBdccEGz90ZHN/5jWFXVeg9i09ebPtcWRUVFLX5kZ2ef+Q0A4Cwt//qY5i3f1exrNfV23b1kk46X0IPtT95wOX7ruow+SmgylRWdKyTIql9fPdywtuVQsd7berSFJ9Cchongq3bmGdbDQ6x6+YdjdNdF3jURvDNYLBZljjpdKn5XC6Xif/r0G13x/BdaueO4T5WK02+NtshITTBcUxredl2SXFdUVOiqq67S1q1bZbFY9Oqrr+qGG25o8f6kpCTn502nijcnPz9f0unJ4e1NrhMSElr8iI+Pb9d7AUBbrfmmUA//fZua/jwWGmz867igrEZ3L9nkkzsjcLfzWIk2uPQ5zmSQmcd9Z3B3XTHcOLvldx/socSxjVqbCP6Peyf6/byAmPAQPf5tqfj4FkvFt2jGwo3KLmhfa6IZ6m12t7+H6LdGcxhqdvY8nlxXV1dr2rRpWrNmjSRpwYIFmjVrVqvP9OnTRzExMZJ0xh3knJwcSdLgwYP97jenAPzPrmOlunfJZtXaGs/dDbZa9Or0sbp3snHWw46jpXrkH9soY/UDi1x2rSemd9PQnvQ5doXHpw5TaJOS5fyyGv1x9QETI/INn+8r0A3NTAQf2vP0RHDXvkx/NqRnjP72bal4cgul4lf+/kuvLxXfeazUMIguITJEQ3rEmBgRvFVzybUvVWiYyaPJdV1dnW644QatXr1akvTb3/5WP/nJT9r07OjRoyVJ69ata/Gempoa53nYY8aM6WC0AOBZh4sqNXPhBrcpu0/fOFKTB3fXz6YM1eXDkg2vfbDjhH7/8b6uDBOd7GR5jd53GVLH8Vtdp1+3KN11UX/D2hv/zfHpoVSe9ta6g7pj0Ua3Hf7Jg7vrn/f53kTwztBQKv7JGUrFL3/uc68tFXftt56Q3k1W+q3RjKE9YxQe0pgmFpTVuP2iDc3zWHJts9l06623asWKFZKkxx9/XI899libn582bZqk0zvXmzZtavaeZcuWqbq6WpKUmZnZwYgBwHOKKmo1Y+EG5buctfuL7w3V9aNTJElBVot+/4MMDe1p3ElYsPqA3qdP1GctXX9ItfWNlQp9EyN02bDWj5lE57r/koHqEdu441hrs+s3Lcw8CGQ2u0P/+59devy9HW4TwX84IVWv+/hE8M5wplLxYyXVuu+tLZr+xgavKxVf65JcUxKOlgQHWTWyT7xhjdLwtvFIcu1wOHTnnXfqX//6lyTppz/9qZ588sl2vcf06dOdpeGPPfaY7Ha74fXq6mrNmTNHkpSWlqarrrqqEyIHgM5XWVuvOxZtVHaBcafsjkn9dc93jKXg0WHBenX6WHVzGXQ1+19fK+vQKY/His5VZ7PrzXXG47dmTExjOm8XiwoL1i++N8yw9smefH22N9+kiLxPZW29fvTWZr36ZY5hvWEi+JOZ/jMRvDOcqVT8y/2FmvL7L/T0Su8oFa+z2bXRtd+aYWZoxSjOuz4rHvlb8sEHH9TixYslSbfddpuefPJJlZeXt/hRX+/+l05SUpLmzp0rSfrkk0+UmZmpTZs2qbCwUF988YUuvfRS7d69W5L03HPPKTSUiasAvE+9za4Hlma5/cb36pG99PjUYc3OiuibGKlXbh9j6BOtrbfrnjc36xhlWT5lxfbjhmqFyNAg3TS2r4kRBa7MUb01pp9xAu685bsMVQWBKr+0Wj/4yzp9uMs4RDYiJEiv+OlE8M7QtFT87ovcS8XrbA699NnpUvEPtptbKr79aIkqam3O66ToMMNRdYCrDIaanRWPJNd//OMfnZ//9a9/VUxMTKsfb731VrPv8/DDD+uBBx6QJC1fvlzjxo1T9+7dNXnyZK1du1ZWq1XPPPOMrr/+ek/8MQCgQxwOh3757g59sse4O3bBgG567vvntdrrNjYtUU9df65hjQnivmehyyCzG8ekKC4isMtqzWKxWPTEtBFqmiNmF1Ro8Zpc02LyBntOlOraP32lr10mgid/OxH8u34+EbwzxISH6JdTh+uDhy7ShPTmS8V/9FdzS8Vdj+CakJ7IL0zQKted6x1HS/hlZBt4fX3PggULtHLlSk2bNk09e/ZUaGioUlJSdMstt2jNmjV69NFHzQ4RAJr1wkf79PdNhw1rw3rF6pXbxygsOOiMz984JsVtgvjOY6V6+O9MEPcFWYdOuf2mf8YFaabEgtPO6ROnH4wzVg784ZP9yi+rNikic322N183/nmtjpUY//wNE8HPTYkzKTLfNLhHjN6+e4IW3JLhdaXirsPM6LfGmfSKizDMqqipt2vPiVITI/INHuu5bs/HzJkzW32/KVOm6P3339fx48dVU1Ojw4cPa+nSpRo/frwnwgeADntz3UEtcDnuJyUhQotnjWvXQKDTE8SNw69W7jyhF5gg7vUWueyITh7cXQO6U4Zptke/O0Qx4cHO6/Kaej2zcq+JEZnjzXUHdefiTW4TwS8e0l3/+tEF6h2AE8E7g8Vi0bTzemv1oxfrnu+kK9gLSsVr6+3alGuc2UG/Ndoio6+xlYbS8DPz+p1rAPA1K3cc16/f32FYS4gM0ZI7zldybHi73uv0BPFRbhPEX2SCuFfLK63Wf74+bljj+C3v0C06TP/v8sGGtX9uPhIwPzTa7A79Zvku/aqZieC3T+in16aPVXRYcAtPo62iw4L1P1cN0wcPXdRsItu0VPwbD5eKbztSrKq6xn7rHrFh6p8U5dGvCf/gWhq+laFmZ0RyDQCdaENOkR7821Y13YyICAnSGzPHKf0sdy2jw4L12oyxSopmgriv+Ou6g6pvkrikd4/SdwZ1NzEiNHX7xH4a5DLMae6ynX7fblFZW6/73tqs1/7rPhH8V1cP17zMEUwE72SDesRo6d3jteCWDEOJbYMv9xfqyt9/ofkeLBV37beemN6Nfmu0ySiXoWZZAfJLyI7gb1AA6CR7T5TprsUbDQM/gqwW/em2DGWkJrTy5JmlJDQ/QfzuJUwQ9zbVdTb9df0hw9rMC9JaHWCHrhUSZNWvrxluWNt6uFjvZvlvNUheabVufmWdPmpmIvhfbh+rOy/sT8LlIQ2l4p880nKp+J8/+0aXPfe5VnigVNwtuabfGm00MiVOTb9dcworVFxZa15APoDkGgA6wbHiKs14Y4NKq407D7+9/lxdOrRHC0+1z5h+ifqtywTxwvIa3bWYCeLe5N/bjulkReMPHzHhwbphdIqJEaE5Fw3qru8ON/63+buVe9x6kP3B7uOnJ4JvP9r8RPArhnfO31Fo3ZlKxY+XVOvHf92i21/foAP5nVMqXl1n0+ZDrv3WSZ3y3vB/kaHBGtIz1rAWKC00Z4vkGgA6qLiyVtPf2KATpcaJu7OnDNH3O/lM4xvGpOi+yQMMa7uOl+r//X2r35e0+gKHw+F2/NbNY/sqih5Wr/T41OEKDW78UaigrEYvrt5vYkSd7/RE8DU6zkRwr9FQKv5iC6Xi/z1QqO/94Qv97oM9qujgL3uyDhUbqqn6xEeobyLD6tB2bqXh9F23iuQaADqgus6muxZvcttlmD6xn3588YAWnuqYn00Z4rbTtGpnnp7/iAniZtuYe0q7jjceVWKxSNMnppkXEFqV2i1S91xkPO7ujf/mKKewwqSIOteb6w7qjkUbVVFrM6xfwkRw01ksFl3zban4vS2Uir/8+Te6/PnP9Z+vz75UfG226/nW9FujfTJch5qxc90qkmsAOEv1NrseeDtLmw4aS+6+d05PzblmhMd+gLFaLfr9ze4TxP/46QG958c9o75g4VfGQVGXD+uh1G6RJkWDtvjxJQPUs8kU/zqbQ08u32ViRB1ns5/+M/zqvR1yLWiZMbGfXmUiuNeIDgvWL74tFb+gmV7o4yXVun/p2ZeKr6PfGh2U4bJzvfVwcZccIeerSK4B4Cw4HA796v2dbsOBzu+fqBduHqUgDw+vimphgvjP/u9rbWGCuCmOnKrUqp0nDGscv+X9IkOD9YurhhrWVu/J16d78k2KqGMqa+t175ub9XozE8HnXDNcT2Sew0RwLzSoR4z+elfnlopX1dqUddil35rkGu00oHu0Ypr8Mq6kqs5vqns8gb9dAeAsLPjkgN7eYJwIPaRHjF6dPlbhIUFdEsPpCeJj3SaI37Nks44yQbzLvbnuoGGXcEiPmGaHFsH7TDuvt8alGSf6P7l8l6FX1RfklVbr+6+s1ce7jb/0iwwN0qu3j9WsSf1Nigxt0dml4psPnlKdrfGe1MRI9aEVAO1ktVp0XjO712geyTUAtNPbGw7phY+N/c2948K1+I7zFRcR0qWxjOmXoN/d0PwE8Y4OwkHbVdbW628bDhvWZk1Ko7fRR1gslm9bORrXsgsrtGhNTssPeZldx05PBN9xtNSw3iP29ETwy5kI7jMaSsVX/rT1UvEfvr6+1VLxtdmFhmt+2Yez5TrUjOS6ZSTXANAOH+3K0y/f3W5Yi4sI0ZI7z1fPuPAWnvKs60en6Ecuw9N2M0G8S72bdVQlVXXO6/jIEF2b0cfEiNBe5/SJ0w/GpRrWFnxyQPll1S084T0+3ZOvm152nwg+rFes3rt/ks7pw0RwXzQw+XSp+B9vzTDMBWjw1YGT+t4fvtBvP9jd7C9TOd8ancV1qBkTw1tGcg0AbbT5YJF+snSLofQ3LNiqN2aO1cDkmJYf7AKzvzvE7czeD3fl6bmP9poUUeBwOBxa5HL81i3np3ZZewA6z6PfHayY8MbewvKaej290rv/G1qyNld3LnafCH7p0GT9876J6hVHGbAvs1gsunpkb33yyGTdO7n5UvFXPs/WZc99ruVfH3OWilfU1OvrI8ZzzUmucbZcd653Hy9VdZ2t+ZsDHMk1ALTBgfwy3bl4k2qa9GBaLdKLt2RoTL9EEyP7NharRS/cPErDesUa1v/06Td6N+uISVEFhq8OnNT+JqWZQVaLbp/Qz8SIcLa6RYfp4SsGG9b+tfmIsrxwSKDN7tAT/96pX7+/020i+MwL0vSX28cwEdyPRIUF6xffa7lU/ERptX6yNOvbUvEybcwtUn2Tb4z0pCj1aGb3G2iLbtFhhvPR6+0O7TxW0soTgYvkGgDO4ERJtWa8sVHFlXWG9d9ce66+O6KnSVG5a2mC+M//b7s2H/S+5MBfuB6/deU5PTk/2If9cEI/DUqONqzN/fcur2qxqKip171vbtJCl4oJ67cTwedOG8FEcD/VllLxK3//pZ5asduwPoFda3RQRl/j0EdKw5vH37wA0IqSqjrNXLjBbfr2Ty8fpFvHp7bwlHn6xEc0O0H83jc3MUHcA3ILK7R6r/HIpjs4fsunhQRZNeeaEYa1bYeL9X9bvKMCpHEiuPH7LjI0SK9OZyJ4IDhTqXi93aF9ecZBZwwzQ0e5loZnMdSsWSTXANCC6jqb7lmySXtOlBnWbzk/VQ9dNsikqM5sTL8Ezb/RdYJ4LRPEPWDx2lw1PQ3n3D5xGp2a0PID8AkXDkrSlBHGGQbzV+5VWXVdC090jYaJ4DuPNT8R/LJhTAQPJE1LxScNbD15nkByjQ4a5TLUbCs7180iuQaAZtjsDj38j61an1NkWL9ieA89mTnC649Yui4jRT9mgrhHlVXX6Z+bjLuZHL/lPx6fOlyhwY0/JhWW1+iPqw+YFk9LE8GH94rV+/dfyETwADYwOUZv3Tlef7p1dLOl4oOSo9U9JsyEyOBPRvSONVTFHS2u8onTFLoayTUAuHA4Tg8KWrH9hGF9TL8EvXhLhs/0Mj7awgTxZz/07unHvuJfm4+ovEklQFJ0mKaO7GViROhMfRMjde930g1rb3yVo+yCls8V9pTFa5qfCH7ZtxPBzToGEN7DYrFo6she+uSRybpv8gBDqfj0C9LMCwx+Iyw4SMN6G4emsnvtzjd+QgSALvTSZ99oydqDhrWBydF6fcZYnzpeqaUJ4i99xgTxjrLbHVq8Jtewdtv4VIUF+873B87sRxcPUK8miWudzaEnl+/qsq9vszs0d9lOzVnWwkTw6WMVxURwNBEVFqzHvjdUHz08Wb+8aphenT5Wt53vffNB4Jsy6Ls+I5JrAGjin5sO65lVxp3dnrHhWnzH+YqPDG3hKe/VOEHcWBL4838xQbwjPtuXr9yTlc7rkCCLbpvAD7D+JjI0WL+4aphh7dO9BVq9J8/jX7uipl73LNmkRS6/xLFapCemjdDcaSMUZKUFAc3rnxSlu7+TriuG95CV7xN0kgz6rs+I5BoAvvXpnnw99s52w1pMeLAW33G++vjw0Up94iP0l+ljDP2jtbbTE8SPnKps5Um0xPUIpGtG9lZyDKW5/uiakb10fprxLPsnl+9WTb2thSc67kTJ6Yngn+xxnwj+2oyxmkGZLwATuE4M//pIsWzMcTEguQYASVmHTunHf91i+EciNNiq16aP1ZCeMSZG1jlGpybo6RtGGtaYIH529ueV6cv9hYa1mRy/5bcsFovmTBuuppt/OYUVbr9g6Sw7j5U0OxG8Z2y4/nnfRF06lIngAMyRmhipxKjGKr6KWpv255e18kTgIbkGEPCyC8p1x6KNqqpr3ImyWKQFPxil8X50fMm1GX10/yXGCeJ7TpTpp0wQbxfXMt0x/RI0MiXelFjQNUb0jtMPXPpWX/xkv/JLO3dS7ie783TTy2t1wuV9R/SO1Xv3T9KI3kwEB2Aei8XitntNabgRyTWAgJZfWq3pb2zQqUrj+bXzpo3Qlef43+TnR64Y4nZ+70e78vQME8TbpKSyTu9sOWpYm8WudUB49LtDFBveODysotam363c02nvv+irHN29ZJMqXSaCXz4sWf+4l4ngALyDW3LNUDMDkmsAAausuk4zF27UkVNVhvWfXDJQt09MMycoD2uYID7cZYL4nz/7Ru9sYYL4mfx90yFDhUOvuHBNGdHTxIjQVRKjQvXwFYMNa+9sOaqsQx0bDNgwEXzuv3e5TQSfNSlNr9zORHAA3sM1uc5i59qA5BpAQKqpt+m+tzZr13FjX+P3x6boke8ObuEp/xAZ2vwE8cf+b7s2HywyKSrvV2+za/Ea4xFtP5zQTyE+cu45Ou6HE/ppcI9ow9rcZTvPuq2itYng8zJHaM41TAQH4F3Oc0mu9+WXqZzZLU78RAAg4NjtDj36z6/11YGThvVLhybrqevOlcXi/z/M9o6P0KvNThDfzATxFny8O09HixurHMKCrbqV82MDSnCQVXOvGWFY23akRP86i6qP4yVVuull94ngUaFBen3GOE330+oZAL4tLiJEA7pHOa8djtNTw3EayTWAgOJwOPSb/+zWv7cdM6yP6huvP96aoeAA2oXMSE3QMzcyQbyt3nCZDn1dRh8lRPne2efomAsGJul75xhbAZ5euVel1XUtPOFux9HTE8FdK2d6xYXrn/ddoEuGJndKrADgCaP6JhiuKQ1vFDg/RQKApFe/zNYbX+UY1tKTovTGzHGKDA28vsbMUX30k0sGGtb2nCjTQ39jgnhTO4+VaEOOsWSe47cC1/9cNUxhTao+Cstr9OIn+9v07Me78vT9V9Yqr7TGsH5On9MTwYf3jm3hSQDwDhmp8YZrhpo1IrkGEDDezTqip1YYp/t2jwnT4jvON5zbGGgevmKwrnQZyvXx7jw9vYoJ4g0WuexaT0zvpqE9SYICVd/ESN37nXTD2sKvcnUgv7zV5xZ+laN73mxuIngP/ePeieoRy0RwAN6vuYnhDge/kJdIrgEEiC/2FWj2P782rMWEBWvxrPPVNzHSpKi8g9Vq0fM3n6cRLjtmL3/+jf5vMxPET5bX6H2XNgKO38KPLh6o3k2Ox6q3O/Tk8l3N/oBZb7Nrzvs79EQzE8HvvLC/Xrl9TEBWzgDwTUN7xig8pDGNLCirMcwkCWQk1wD83tdHinXfW5tV3+Sn2tAgq16ZPoYSzG9Fhgbr1elj1T3GOEH8F+8wQfztDYdUW293XvdNjNBlw3q08gQCQURokH5x1TDD2uf7CrTaZUBZeU297l6ySYvXGifNWy3Sk5kj9KurhzMRHIBPCQ6yamSfeMMapeGnkVwD8Gu5hRWatXCjoQzTYpGev/k8XTAgycTIvE/v+Aj95Xb3CeL3LAncCeJ1NrveXGdMimZMTCMZgiTp6pG9dH7/RMPavOW7VFN/+u+bhongn+4tMNwTFRqk12eO0+1MBAfgo0a59l0z1EwSyTUAP1ZQVqMZCzfoZEWtYf1XU4fr6pG9TYrKuzU3QfxkxekJ4oF4juWK7ccNg6ciQ4N009i+JkYEb2KxWDT3mhFq+ruWgycr9cZ/c50TwXe3NBF8CBPBAfiuDJe+6yx2riWRXAPwU+U19bpj0UYdPGnccb13crruuLC/SVH5hsxRffTApe4TxH/6t62yBdgE8UVrcg3XN45JUVxEiDnBwCsN7x2rW8cbzzt/cfV+3fQyE8EB+C/XnesdR0sMLVSBiuQagN+prbfrR29t1vajJYb16zP66OdThpoUlW/5f5cPdjvL9/QE8T0tPOF/th4udju7c8YFaabEAu/2yBVDDL90qay1qarOOBH8iuFMBAfgP3rFRahHbOOclpp6u/acKG3licBAcg3Ar9jtDv38/77Wl/sLDevfGdxd828cKSu9sm1itVr03PfdJ4i/8nm2/hUgE8QXupyHPnlwdw3oHm1SNPBmCVGheuS7g1t8/a4L++vlHzIRHIB/yeibYLhmqBnJNQA/M3/VHr2bddSwNjIlTn++bbRCgvgrrz0iQ4P12gz3CeL/8852bcr17wnieaXV+s/Xxw1rHL+F1tx6fqqG9owxrAVZLXry2nP0OBPBAfghhpq54ydNAH7j9f/m6JXPsw1r/bpF6o2Z4xQVxo7R2egVF6FXp49VmMsE8Xvf3KzDRf47Qfyv6w4ajm5LT4rSdwZ1NzEieLvgIKueuv5cRYYGSZKiw4L1+oyxun1CP5MjAwDPGMVQMzck1wD8wrJtx/Tk8l2GtaToUC2543wlRYe18BTaYlTfeD0dQBPEq+ts+uv6Q4a1mZPSaCnAGY1OTdDKh76jl24brf/+/BJdzERwAH5sZEqc4bSEnMIKFVfWtvxAACC5BuDz1hwo1CP/2GpYiwoN0sKZ56tftyhzgvIzmaP66EGXCeJ788r00NtZfjdB/N/bjhmOb4sJC9YNo1NMjAi+JLVbpK46t5fiI0PNDgUAPCoyNFhDehpnswR63zXJNQCftvNYie55c7PqbI0JXrDVopdvH6NzU+JMjMz//LSZCeKf7MnX0yv9Z4K4w+FwO37r++P60lYAAEAz3ErDA7zvmuQagM86XFSpmQs3upUmP3vTebqI/thO1zBB/Jw+LhPEv8jWPzcdNimqzrUx95R2Hms8SsRikWZMTDMvIAAAvFiG61Azdq4BwPecLK/R9Dc2qKCsxrD+y6uG6dqMPiZF5f8iQ4P16vSxSnadIP7udm30gwnirsdvXT6sh1K7RZoUDQAA3i3DZed66+FiORz+1S7WHiTXAHxOZW297li8STmFFYb1Oy/sr7u/k25SVIGjV1yE/uIyQbzO5vD5CeJHi6u0aucJwxrHbwEA0LIB3aMV06R1qqSqzu3ns0BCcg3Ap9TZ7Lr/r1u0zaXs6JrzeuuXVw0zJ6gANKpvvJ656TzDWpGPTxBfsjZXTWezDekRo4np3cwLCAAAL2e1WnReM7vXgYrkGoDPcDgc+sU72/Xp3gLD+qSB3fTsTSM5KqmLTTuvtx68bJBhzVcniFfW1utvG4x947Mmpcli4XsKAIDWuA41I7kGAB/w7Id79a/NRwxrw3vF6uUfjlFYcJBJUQW2n142SFed6z5BfL6PTRB/L+uYSqrqnNfxkSH07gMA0AZMDG9Ecg3AJyxek6s/ffqNYa1vYoQW3TFOMeEhJkUFq9Wi524apXP7GI89+8sX2fqHj0wQP338lnGQ2S3npyo8hF/YAABwJqNcJobvPl6q6jqbOcGYzGPJtcPh0O7du7V48WLdf//9GjdunMLCwmSxWGSxWJSbm9vm91q1apUyMzPVu3dvhYeHKzU1VbfddpvWr1/vqfABeJEV249r7r93GtYSo0K1eNb5So4JNykqNIgIDWp2gvgv392uDTneP0H8qwMntS+v3HkdZLXo9gn9TIwIAADfkRQdpr6JEc7rertDO4+VmBiReTyWXB88eFDDhw/XzJkz9dJLL2nTpk2qra1t9/s89NBDuvLKK7Vs2TIdP35cNTU1Onz4sJYuXapJkybp2Wef9UD0ALzFuuyT+unftqrpqQ4RIUF6Y+Y4pXePNi8wGPSMC9erzUwQv+8t758g7nr81pXn9FTv+IgW7gYAAK5G9U0wXAdqaXiXlIX36dNH1113nS666KJ2Pff8889rwYIFkqSpU6dqw4YNKigo0GeffaYJEybIZrNp9uzZeueddzwRNgCT7TlRqruXbFKtze5cC7Ja9NIPR7v198B85/WN17PNTBC/c/FGlVXXtfCUuXILK7R6b75hbdYFaeYEAwCAj3I97zorQIeaeSy57tatm9577z0dP35cR44c0TvvvKNLL720zc8XFhZq7ty5kqRLLrlEy5Yt07hx45SUlKTJkydr9erVGjJkiCTpkUceOatdcQDe62hxlWa8sUFl1cZjnebfMFKXDEk2KSqcyTXn9dZDLhPE9+WV66G/bfXKCeKL1+YaqiLO7ROnMf0SWn4AAAC4ce273srOdeeKiYlRZmamevbseeabm7FkyRKVlZVJkubPny+r1RhqRESE5s2bJ0nKzc3VihUrOhYwAK9xqqJW019fr7zSGsP6z64cohvHpJgUFdrqocsGaeq5vQxrq/fk63cf7DYpouaVVdfpn5uM0+c5fgsAgPYb3itWIUGN/34eLa5Sflm1iRGZw2unhS9btkyS1L9/f40bN67ZezIzMxUefnqY0fvvv99lsQHwnKpam+5cvFHfFFQY1mdekKYfTR5gUlRoD6vVomdvOs9tgvirX+boHxu9Z4L4/20+ovKaxsqIpOgwTR3Zq5UnAABAc8JDgjS8t/Hf/UDcvfba5HrLli2SpIkTJ7Z4T1hYmDIyMiRJmzdv7pK4AHhOvc2uB97O0haXv4yvOrenfnX1cHYUfUiLE8Tf26712SdNiqqR3e7Q4rUHDWu3jU/lvHQAAM4SfddemlwfPXrUWRKenp7e6r0Nr+/bt08OR/v6+U6dOtXiR3Fx8VnFDuDsOBwO/er9Hfp4d55hfXz/RD3//VEKspJY+5qeceF6bUbzE8QPnTR3gvhn+/KVU9hYHRESZNFtE1JNjAgAAN+WQd+1dybXhYWFzs979OjR6r3JyacHG9XU1Ki8vLzVe10lJia2+HGmpB5A5/r9x/v19gZjyfDQnjH6y/SxCg9hN9FXjUyJ13PfN04QP1VZZ/oE8YVf5RqurxnZmzPTAQDoANeTXL4+UuyVw0w9ySuT64qKxt2Ehp7qlkRENJ5F2t7kGoB3+Ov6g/rDJ/sNa33iI7Ro1vmKiwgxKSp0lqtH9tZPLzdOEN+fX64H384y5R/dA/ll+nJ/oWFt5qS0Lo8DAAB/kpoYqcSoUOd1Ra1N+/PLTIyo63llct20vNuTPZZFRUUtfmRnZ3vs6wJotGrnCf3qvR2GtfjIEC2+Y5x6xrGT6C8eumyQ27CwT/cW6Lcrun6CuOuu9Zh+CRqZEt/lcQAA4E8sFovb7nWglYZ7ZXIdHR3t/LyqqqrVe5u+3vS5tkhISGjxIz4+vl3vBaD9NuYW6cG3s9R08zI8xKrXZ4zTwOQY8wJDp7NYLHr2xvM0MsU4SfS1/+bo7xsPdVkcJZV1emfLUcPaLHatAQDoFG7JdYANNfPK5DopKcn5eV5eXit3Svn5+ZJOTw5vb3INwDz78sp056KNqqm3O9esFumPt4zWmH4JJkYGT2mYIN4j1jhB/PH3dnTZBPG/bzqkqjqb87pnbLimjOjZJV8bAAB/55pcZ7Fzbb4+ffooJub0rtWZyrNzcnIkSYMHD+aYHsBHHC+p0ow3Nqi0ut6w/tR15+ry4a0PMYRv6xEbrlenj1V4SNdPEK+32bV4jfH4rdsn9lNIkFf+UwgAgM85zyW53pdfpvKa+uZv9kNe+xPF6NGjJUnr1q1r8Z6amhrnedhjxozpkrjgPwrKavTiJ/s1a+EG3f/XLfr9x/v0wfbj+qagXPU2+5nfAGelpLJOM97YoOMl1Yb1h68YrB+cz1FIgWBkSryeu2mUYa0rJoh/vDtPR4sbW4nCgq26le85AAA6TVxEiAZ0j3JeOxynp4YHimCzA2jJtGnT9Pnnnys7O1ubNm3S2LFj3e5ZtmyZqqtP/4CemZnZ1SHCR207XKzFa3K1/Ovjqm2aRG9v/DQ02KqB3aM1pGeMBveI0ZCe0RqUHKM+8RGyct7yWauus+nuJZu0L8842f+28al64NKBJkUFM0wd2UsH8gfrhY/3Odf255frgbez9PqMcR4519x1kNl1GX2U0GSqKQAA6LhRfRP0TUHj6U9Zh4p1wYCkVp7wH16bXE+fPl1z585VWVmZHnvsMX344YeyWhs32qurqzVnzhxJUlpamq666iqzQoUPqK2364Mdx7VoTW6bej9q6+3adbxUu46XGtajQoM0qEeMhvSI0eCeDf83Wt2jw2hLOAOb3aGf/m2rNuQWGda/O7yH5mWew///AtCDlw3U/vwyLf/6uHPts70FemrFbv3q6uGd+rV2HivR+hzj9x7HbwEA0PkyUuP1f1uOOK8DaaiZR5PrXbt2qbS0MTk5cqTx/8lZWVk6ceKE8zolJUUpKSnO66SkJM2dO1ePPPKIPvnkE2VmZmrOnDlKS0vTrl279Nhjj2n37tNHuDz33HMKDWX3Ae4Kymq0dP0hvbX+oArKajr8fhW1Nm09XOz2l0R8ZMjpHe6mSXePaMVH8n0pnT5eb+6ynVq584RhfVxaghbckuGRXUp4P4vFomdvOk+Hiyq17UiJc/31/+ZoUHJ0p7YJLHLZtZ6Y3k1De8Z22vsDAIDTmpsY7nA4AmIjxeJoeqh0J7v44ov1+eeft+neOXPmaO7cuW7rDz74oF588cVmn7FarZo/f74effTRjoTZrFOnTikxMVHS6fOwExKYXuxLth0u1qI1ufqPa+m3i37dInX7hH6KCgvW3hNl2pdXpn155Sos73giLkk9YsM0uEeMIfEelBytqDCvLRrxiD+u3q9nP9xnWBuUHK1/3XeB4iJDTIoK3iKvtFqZf/xKJ0ob+/CDrRa9ddd4TUjv1uH3P1leo4m/W63aJpPp/3L7GH2XKeEAAHS6eptd58xdpeq6xn93//vzS5SSEGliVM3r7JzP63/CX7BggaZOnaqXXnpJGzZsUFFRkZKTk3XRRRfpoYce0vjx480OEV6iPaXf3xncXTMv6KeLByc320N9srxG+/LKtS+vTHvzyrTvxOn/W1bdvmmHeaU1yiut0Zf7Cw3rfRMjNKRHTGOJeY8YDUiOUlhwULve3xf8Y+Nht8S6Z2y4Ft9xPok1JDVOEL/plTXOf4jr7Q796K3Neu/+SerXLeoM79C6tzccMiTWfRMjdNkwptIDAOAJwUFWjewTb2gF3Hq42CuT687m0Z1rX8bOte/IL6vW0vWH9Nf1h1ot/Y4KDdINY1I0fWKaBia3/0x0h8OhvNIaQ7K979uPpr+ZO1tBVovSukU6h6g1fKR1i1Swjx4V9MnuPN3z5mbZ7I1/zcSGB+tfP7pAg3vEmBgZvNGK7cf1479uMawNTI7WOz++QLHhZ/eLmDqbXRfOX6280sa/Gx6fOkx3XZTeoVgBAEDLnlqxW3/5ovFI5bsu7K/HO3meSmcIuJ1roCUNpd/Lvz6mOlvLvyPq1y1SMyam6caxKWf9A7p0uj+0Z1y4esaFa/Lg7s51u92hw6cqtfdEmfbnlzvLy78pKG81Llc2u0PfFFTom4IKrdje2JscGmTVgORoDekR3aSf2/snl285dEr3L91iSKxDg616bcY4Ems066pze+nhKwbr+Y8aKx0O5JfrgaVZen3G2LP6JdMHO04YEuvI0CDdNLZvp8QLAACa59p3nRUgQ81IruFTGkq/F36Ve8bJg98Z3F2zLkjT5MHdPZqEWq0W9esWpX7dovTdEY3rdTa7cgsrvt3hLte+b5Pu3JMVsrejXqTWZtfu46Xa7TK5PNI5uTz62+PCTife3WPMn1x+IL9cdyzaaNjRt1qkBT/I0Pn9E02MDN7ugUsHan9+uf697Zhz7fN9BXpqxR79+pr2/8Z74Vc5husbRqcoLoJ2BAAAPCkjNd5wveNoiepsdoX4aDVmW5Fcwye0p/T7xjEpmn5BmgZ0b3/pd2cKCbJq0Ld91U1V19l0IN/Yz70vr1xHi6va9f6VtTZtO1ysbS6/ZIiLCHEeETakSXl5V53nm1darRlvbFBxZZ1hfV7mObryHAZIoXUWi0XP3DhSh05WGCaIv/FVjgb1iNYt7ZggvvVwsdv8BY7fAgDA83rFRahHbJizeqym3q49x8t0bkqcyZF5Fsk1vNrWw8Va9FWO/rP9eKsl1mndIjXjgjTdOCZFMR0o/e4K4SFBOqdPnM7pY/zLpay6Tvvzy136ucvbfYRYSVWdNuQWuZ0nnRwTpiE9YzQoOUZDep7e7R7UI0bRnTi5vLS6TjPe2OD2i4IHLx2oH07o12lfB/4tPCRIr04fq2kuE8R/9d4OpXWL0sQBbZsg7rprPXlwd9N/6QYAQKAY1Tdeq3bmSZKSosNUUF4tyb+TawaatYCBZuaprbdrxfbTU7/PVPo9eXB3zeyC0m8zFVXUOgenNfRz7z1RptJ2Ti5vSUpChPOYsMHflpgP6B6t8JD2TS6vqbdpxhsbtC7bmNTfPLavfnfDuaaXqsP37DhaohtfXmNoL4iPDNH7bZggnldarUm/W636Jj0Yi2aN08VDkj0WLwAAaLTmQKGKKms1qm+8+sRHeOXPgp2d85Fct4Dkuuv5Yum3WRwOh/LLagzJdsNOd1WdrcPvb7VIaUlRzrLyId8m3mndopodKmW3O/TA21n6z/bjhvXLhibrldvH+Oy0c5jvg+3H9aOzmCD+/Id7tWD1Aed1elKUPn54st/+Eg4AALQfyXUXIbnuOlmHTmnxmtwzln73T4rS9In9fKL02yx2u0NHi6u0t0lp+d4TZcouqFCtrePHhYUGWZXePcp5XFhD8v3GVzlatCbXcG9GaryW3jVBEaH+d3Y3utaLn+zXcx8Zz0qfPLh7ixPEq+tsmvS71TpZUetcm5c5QtMnpnk6VAAA4EM4igt+oaH0e+GaXLeBXK4mD+6umZPSNHmQ/5Z+dxar1aK+iZHqmxipy4f3cK7X2ew6eLJCe0+UN5aY55Upt7D9k8v3nCjTnhNlrd6X3j1Kb8wYR2KNTvGTbyeIL2vjBPHlXx83JNYxYcG6YXRKl8QKAAACF8k1ulR+abX++m3pd2F566XfN43tq+kT+yk9QEu/O1NIkFUDk2M0MDlGU9XLuV5dZ9M3Bd9OLj9Rrv3fJt1HTrVvcnlTyTFhWnLH+V02nRz+z2Kx6OkbR+pgUaXhl3HNTRB3OBxug8y+P66vojpxcB8AAEBz+GkDXSLr0CktWpOrFW0o/Z4xsZ9uoPS7S4SHBGlE7ziN6G2c3FheU6/9zrLyxt3u/DNMLo8JC9aiWecrJSHSk2EjAIWHBOnV28co809f6XhJyxPEN+ae0s5jjWfCWyzSDMrBAQBAFyC5hsfU1Nu+nfp98Iyl3xcPOT31+zuUfnuF6LBgZaQmKCPV2Hdyqunk8rwy7TtRrr15ZSqpqlNyTJj+eOtoDe8da1LU8HfJseF6dfpY3fTyWufgvnq7Qz/662a99+NJSkuK0qI1xl3ry4f1UGo3ftkDAAA8j+QanS6/tFpvrT+kpWco/Y4OCz499ZvSb5+REBWq8endND698Zxhh8Oh0up6RYcFK4hfjMDDzukTpxduPk/3vdU4Qby4sk53Lt6oP9022nmeZoNZF6R1cYQAACBQkVyj0zSUfv/n6+OGs2VdpX879ZvSb/9gsVgUF8H/jug6V57TS49cMdgwQfybggrd8NIa2Zr83TOkR4yzXBwAAMDTSK7RIc7S769yte1ISav3UvoNoLM0N0G8otZ4xvusSWmyWPi7BgAAdA2Sa5yVxtLvgyosr23xPkq/AXhCSxPEG8RHhujajD5dHxgAAAhYJNdoM4fDoazDxVr01emp32cq/Z5xQZpuGJOiaI7AAeABLU0Ql6Rbzk9VeAjnrAMAgK5D1oMzqqm36T9fH9eiNbn6+gyl35cM6a6Zk/rrooFJlH4D8LjmJogHWy26fUI/kyMDAACBhuQaLcorrdZf1x3U0g2Hzlj6fdPYFE2fmKb+SVFdGCEAnJ4g/tqMsfr5/32tylqbfn31cPWOjzA7LAAAEGBIrmHgcDi05VCxFq9pQ+l39yjNmEjpNwDzTRqYpC9mX0LFDAAAMA0ZESS1r/T70qHJmnFBGqXfALwKfx8BAAAzkVwHuLaWfseEBetGSr8BAAAAoFkk1wGoofR70ZpcfdCG0u+ZF6Tp+tGUfgMAAABAS8iWAkhNvU3Lt50u/d5+tOXSb4tFumRIsmZekKYLKf0GAAAAgDMiuQ4AeaXVemvdQb3dhtLvm8b21fSJ/ZRG6TcAAAAAtBnJtZ86Xfp9SovWHDxj6feAb0u/r6P0GwAAAADOCpmUn2lP6felQ5I1c9Lp0m+LhdJvAAAAADhbJNd+4kRJtf66/qCWrj+kkxWtl35/f9zp0u9+3Sj9BgAAAIDOQHLtwxpKvxd+lauVO060qfT7+tEpiqL0GwAAAAA6FVmWD6qz2fX+1mNaTOk3AAAAAHgFkmsfZHc49LsP9qiwvKbZ12PCg/X9sZR+AwAAAEBXIbn2QWHBQbp1fKoWfLLfsD6ge5RmTuqv6zP6UPoNAAAAAF2IDMxH/XB8ql769IBsDocuG5qsGRdQ+g0AAAAAZiG59lHJseF65qaRGp2aQOk3AAAAAJiM5NqHXZeRYnYIAAAAAABJVrMDAAAAAADA15FcAwAAAADQQSTXAAAAAAB0EMk1AAAAAAAdRHINAAAAAEAHkVwDAAAAANBBJNcAAAAAAHQQyTUAAAAAAB1Ecg0AAAAAQAeRXAMAAAAA0EEk1wAAAAAAdBDJNQAAAAAAHURyDQAAAABAB5FcAwAAAADQQcFmB+Ct7Ha78/Pi4mLzAgEAAAAAdLqmeV7T/O9skVy3oLS01Pl5enq6iZEAAAAAADyptLRU3bp169B7UBYOAAAAAEAHWRwOh8PsILxRfX29Dh8+LEmKjY2V1epdv4coLi527qhnZ2crPj7e3IAQsPhehDfg+xDegO9DeAu+F+ENfOH70G63OyuW+/btq+DgjhV2UxbeguDgYPXv39/sMNokPj5eCQkJZocB8L0Ir8D3IbwB34fwFnwvwht48/dhR0vBm/Ku7VgAAAAAAHwQyTUAAAAAAB1Ecg0AAAAAQAeRXAMAAAAA0EEk1wAAAAAAdBDJNQAAAAAAHcQ51wAAAAAAdBA71wAAAAAAdBDJNQAAAAAAHURyDQAAAABAB5FcAwAAAADQQSTXAAAAAAB0EMk1AAAAAAAdRHINAAAAAEAHkVwDAAAAANBBJNcAAAAAAHQQybWPWrVqlTIzM9W7d2+Fh4crNTVVt912m9avX292aPBj9fX1+uijj/Too4/qwgsvVPfu3RUSEqL4+HiNGTNGjz32mA4ePGh2mAhgBQUFSkpKksVikcVi0cyZM80OCQHmq6++0l133aVBgwYpKipKcXFxGjp0qH7wgx/olVdeMTs8+Lnjx4/rV7/6lcaNG6f4+HiFhIQoMTFREydO1Lx581RQUGB2iPBhDodDu3fv1uLFi3X//fdr3LhxCgsLc/6bm5ub2+b38tdcxuJwOBxmB4H2eeihh7RgwYJmXwsKCtLvfvc7Pfroo10cFQLByJEjtX379lbviYyM1EsvvaQZM2Z0UVRAo9tuu01Lly51Xs+YMUOLFi0yLyAEjJqaGt17771avHhxq/fxYxc8ZdWqVbr55ptVUlLS4j2JiYl699139Z3vfKcLI4O/yM3NVf/+/Vt8PScnR2lpaWd8H3/OZdi59jHPP/+885tx6tSp2rBhgwoKCvTZZ59pwoQJstlsmj17tt555x2TI4U/Ki0tldVq1RVXXKG//OUv2rFjh06ePKns7Gz96U9/Urdu3VRZWalZs2ZpxYoVZoeLALNy5UotXbpU6enpZoeCAGOz2XT99dc7E+tbb71Vq1ev1rFjx1RQUKD169dr7ty5GjBggMmRwl8dOnRIN9xwg0pKShQdHa3//d//1fbt21VQUKAtW7bo//2//6fg4GAVFRXp2muvZQcbHdanTx9dd911uuiii9r1nN/nMg74jIKCAkdMTIxDkuOSSy5x2Gw2w+uVlZWOIUOGOCQ50tLSHDU1NSZFCn81e/Zsx969e1t8fffu3Y6oqCiHJMfw4cO7MDIEuvLyckdaWppDkmPlypUOSQ5JjhkzZpgdGgLA008/7fyee+2118wOBwHol7/8pfN78B//+Eez9/zud79z3vP73/++iyOEPygtLXW89957juPHjzvX5syZ4/y+ysnJafX5QMhl2Ln2IUuWLFFZWZkkaf78+bJajf/zRUREaN68eZJOl22wc4jO9vTTT2vw4MEtvj506FDNmjVLkrRr1y76r9FlHn/8ceXm5urmm2/WlClTzA4HAaS4uFhz586VJN1yyy268847zQ0IAWnr1q2STv8seP311zd7z+233+78fM+ePV0RFvxMTEyMMjMz1bNnz7N6PhByGZJrH7Js2TJJUv/+/TVu3Lhm78nMzFR4eLgk6f333++y2IAG55xzjvPzY8eOmRgJAsXGjRv14osvKi4uTi+88ILZ4SDAvPXWW6qsrJQkzZ492+RoEKjCwsIkSVarVRaLpdl7goKCnJ8nJyd3SVxAU4GQy5Bc+5AtW7ZIkiZOnNjiPWFhYcrIyJAkbd68uUviAprKy8tzfh4XF2diJAgE9fX1uvvuu2Wz2fTUU0+pV69eZoeEANOws9K3b1/nv7/S6T5su91uVlgIMGPGjJEkVVRU6IMPPmj2nn/84x/Oz7/3ve91SVxAU4GQy5Bc+4ijR486yyjONKyn4fV9+/YxlRRdrmEARWJiooYMGWJyNPB3zzzzjLZt26bx48frvvvuMzscBKCNGzdKksaNG6e6ujo988wzGjFihMLDwxUSEqJ+/frpnnvu0f79+02OFP7s/vvvd+5G33777frjH/+oQ4cOqbq6Wt98843mzZvnrKx45JFHNGHCBDPDRQAKlFyG5NpHFBYWOj/v0aNHq/c2/OVaU1Oj8vJyj8YFNLVw4UJt27ZNknTvvfcaStCAznbgwAHNmzdPQUFBevnll916twBPq6qqcv77nJiYqIsuukg/+9nPtGvXLtXX18tut+vQoUN69dVXNXLkSP3rX/8yOWL4q7i4OH355ZcaOXKkTp06pQceeED9+vVTRESEBg4cqDlz5mj06NF6++239eyzz5odLgJQoOQy/CTiIyoqKpyfN/QhtCQiIsL5ua99Q8J37dq1Sw8++KAkqV+/fvr5z39uckTwd/fcc4+qq6v105/+VKNGjTI7HASgpucJL1myROvXr9fFF1+stWvXqqqqSgUFBXr11VcVHx+v6upq/fCHP3QOngI62+DBg/Xuu+/qsssua/b1Y8eOKTs7W/X19V0cGRA4uQzJtY9oWhLR0qAKwCz5+fmaNm2aysvLFRoaqqVLl9JvDY96/fXX9emnnyo1NVVPPPGE2eEgQDXtqa6trdX48eP14YcfasKECQoPD1dSUpLuuusurVixQlarVTU1NZozZ46JEcOfPf300xo0aJC2bNmiP/zhD9q/f7+Kioq0c+dOPfHEEzpx4oR++ctf6nvf+55zCB/QVQIllyG59hHR0dHOz6uqqlq9t+nrTZ8DPKGkpERTpkzRN998o6CgIC1dulQXXHCB2WHBj+Xl5Tl7B1988UVFRUWZHBECleu/sXPmzFFISIjbfRMnTtTUqVMlSatWrVJ1dXWXxIfA8fzzz+vnP/+5QkND9cUXX+jBBx/UwIEDlZCQoOHDh+vXv/61c/Lyxx9/rCeffNLkiBFoAiWXIbn2EUlJSc7Pm05jbk5+fr6k09P2fO0bEr6loqJCV111lbZu3SqLxaJXX31VN9xwg9lhwc/94he/0KlTp3Tttddq2rRpZoeDABYTE+M8AkmSLrroohbvbXitpqZGBw4c8HhsCBx1dXX6zW9+I0m69dZbDUdiNjVlyhRdfPHFkqTXXnvN5wZFwbcFSi5Dcu0j+vTpo5iYGElSdnZ2q/fm5ORIOt17489lFzBXdXW1pk2bpjVr1kiSFixYoFmzZpkcFQJBw9+B7733niwWS7MfDRYvXuxcW7RokUkRw19ZLBYNHTpUkhQcHNzqD4EJCQnOz0tLSz0eGwLHzp07derUKUnS2LFjW7234WzhwsJCFRQUeDw2oEGg5DIk1z5k9OjRkqR169a1eE9NTY3zDLmGMw+BzlZXV6cbbrhBq1evliT99re/1U9+8hOTowKArteQrNTX17eaNJ88edL5eXx8vKfDQgBpWkJ7pt3oQOl7hXcKhFyG5NqHNJQ/Zmdna9OmTc3es2zZMmcvV2ZmZpfFhsBhs9l06623asWKFZKkxx9/XI899pjJUSGQvPbaa8rKymr1o8E111zjXKOEHJ5w3XXXOT//7LPPWryv4bWoqCgNGjTIw1EhkPTu3dv5eUs/HzZoOJc9Ojpa3bp182hcgKuAyGUc8BkFBQWOmJgYhyTHZZdd5rDZbIbXq6qqHMOGDXNIcqSlpTlqampMihT+ym63O2bMmOGQ5JDk+OlPf2p2SECzGr5HZ8yYYXYo8HN1dXWOoUOHOiQ5MjIyHFVVVW73rF692mGxWPiehMcMGjTIIckRHh7u2L59e7P3rFy50vl34/XXX9/FEcJfzZkzx/l9lZOT0+q9gZDLsHPtQ5KSkjR37lxJ0ieffKLMzExt2rRJhYWF+uKLL3TppZdq9+7dkqTnnntOoaGhJkYLf/Tggw9q8eLFkqTbbrtNTz75pMrLy1v84CxNAP4uODhYCxYsUFBQkLKysnTJJZfo448/1smTJ3Xw4EH94Q9/0LRp0+RwOJSYmMjRcfCIhp8Pq6urNXnyZL344ov65ptvVFxcrN27d+vJJ5/UtddeK0kKDQ3Vr371K/OChU/btWuX1q1b5/w4cuSI87WsrKwWX5MCI5exOByMCvQ1Dz74oF588cVmX7NarZo/f74effTRLo4KgaC9/VkLFy7UzJkzPRMM0IqG79UZM2YwyAxdYuHChfrRj36kmpqaZl/v0aOH3nvvPU2YMKGLI0OgePrpp/U///M/stlsLd4TExOjRYsW6frrr+/CyOBPLr74Yn3++edtunfOnDnOZLopf85l2Ln2QQsWLNDKlSs1bdo09ezZU6GhoUpJSdEtt9yiNWvW+Ow3IwAAvmrWrFnKysrSfffdp/T0dIWHhysmJkajR4/W3LlztWvXLhJreNTPfvYzbdu2TQ888IBGjhypmJgYBQUFKT4+XuPGjdMvf/lL7dq1i8QapvPnXIadawAAAAAAOoidawAAAAAAOojkGgAAAACADiK5BgAAAACgg0iuAQAAAADoIJJrAAAAAAA6iOQaAAAAAIAOIrkGAAAAAKCDSK4BAAAAAOggkmsAAAAAADqI5BoAAAAAgA4iuQYAAAAAoINIrgEAAAAA6CCSawAAAAAAOojkGgAAAACADiK5BgAAAACgg0iuAQAAAADoIJJrAAAAAAA6iOQaAAAAAIAOIrkGAAAAAKCDSK4BAAAAAOggkmsAAAAAADqI5BoAAAAAgA4iuQYAAAAAoINIrgEAAAAA6KD/D28LoH1zbpmWAAAAAElFTkSuQmCC", │ │ │ │ │ │ "text/plain": [ │ │ │ │ │ │ @@ -1374,18 +1374,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 22, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:12.908958Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:12.908468Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:13.239941Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:13.239304Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:43:39.308305Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:43:39.307835Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:43:40.286831Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:43:40.270801Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "ename": "ModuleNotFoundError", │ │ │ │ │ │ "evalue": "No module named 'ipympl'", │ │ │ │ │ │ "output_type": "error", │ │ │ │ │ │ @@ -1415,18 +1415,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 23, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:13.242406Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:13.241863Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:13.408344Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:13.407800Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:43:40.304197Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:43:40.303720Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:43:41.100042Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:43:41.090800Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "image/png": 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│ │ │ │ │ │ "text/plain": [ │ │ │ │ │ │ @@ -1458,35 +1458,35 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 24, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:13.410779Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:13.410282Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:13.632138Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:13.631532Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:43:41.116302Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:43:41.115828Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:43:42.167169Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:43:42.159820Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "import numpy as np\n", │ │ │ │ │ │ "import pandas as pd" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 25, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:13.634834Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:13.634213Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:13.643186Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:13.642669Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:43:42.184618Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:43:42.183903Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:43:42.221331Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:43:42.219445Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "text/html": [ │ │ │ │ │ │ "
\n", │ │ │ │ │ │ @@ -1622,34 +1622,34 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 26, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:13.645285Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:13.644797Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:13.647607Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:13.647084Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:43:42.228195Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:43:42.227786Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:43:42.234983Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:43:42.233551Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "from IPython.display import Markdown" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 27, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:13.649622Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:13.649154Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:13.653131Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:13.652621Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:43:42.244224Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:43:42.243820Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:43:42.254925Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:43:42.251138Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "text/markdown": [ │ │ │ │ │ │ "\n", │ │ │ │ │ │ @@ -1721,18 +1721,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 28, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:13.655252Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:13.654813Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:13.658815Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:13.658296Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:43:42.268288Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:43:42.267884Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:43:42.279784Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:43:42.278778Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "text/html": [ │ │ │ │ │ │ "\n", │ │ │ │ │ │ @@ -1743,15 +1743,15 @@ │ │ │ │ │ │ " frameborder=\"0\"\n", │ │ │ │ │ │ " allowfullscreen\n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " >\n", │ │ │ │ │ │ " " │ │ │ │ │ │ ], │ │ │ │ │ │ "text/plain": [ │ │ │ │ │ │ - "" │ │ │ │ │ │ + "" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ "execution_count": 28, │ │ │ │ │ │ "metadata": {}, │ │ │ │ │ │ "output_type": "execute_result" │ │ │ │ │ │ } │ │ │ │ │ │ ], │ │ │ │ │ │ @@ -1838,18 +1838,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 29, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:13.660960Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:13.660527Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:13.664458Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:13.663946Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:43:42.288464Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:43:42.288014Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:43:42.306646Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:43:42.304745Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "application/javascript": [ │ │ │ │ │ │ "\n", │ │ │ │ │ │ @@ -1884,18 +1884,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 30, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:13.666499Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:13.666113Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:13.669549Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:13.669036Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:43:42.316490Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:43:42.316087Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:43:42.326357Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:43:42.321503Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "text/x-haskell": [ │ │ │ │ │ │ "main = putStrLn \"Hello, world!\"" │ │ │ │ │ │ @@ -1925,18 +1925,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 31, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:13.671522Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:13.671277Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:13.675100Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:13.674573Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:43:42.336106Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:43:42.335701Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:43:42.348972Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:43:42.347222Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "name": "stdout", │ │ │ │ │ │ "output_type": "stream", │ │ │ │ │ │ "text": [ │ │ │ │ │ │ @@ -1966,18 +1966,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 32, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:13.676996Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:13.676763Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:13.681898Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:13.681360Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:43:42.356268Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:43:42.355873Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:43:42.370906Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:43:42.365905Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "name": "stdout", │ │ │ │ │ │ "output_type": "stream", │ │ │ │ │ │ "text": [ │ │ │ │ │ │ @@ -2024,18 +2024,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 33, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:13.683779Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:13.683545Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:13.688307Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:13.687772Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:43:42.380666Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:43:42.380268Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:43:42.401011Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:43:42.397987Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "name": "stdout", │ │ │ │ │ │ "output_type": "stream", │ │ │ │ │ │ "text": [ │ │ │ │ │ │ @@ -2070,18 +2070,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 34, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:13.690193Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:13.689956Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:13.694474Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:13.693949Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:43:42.408251Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:43:42.407850Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:43:42.417670Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:43:42.416134Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "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': '2024-11-29T17:43:59.620287Z', " │ │ │ │ │┄ "'iopub.status.busy': '2024-11-29T17:43:59.619809Z', 'iopub.status.idle': " │ │ │ │ │┄ "'2024-11-29T17:43:59.636681Z', 'shell.execute_reply': " │ │ │ │ │┄ "'2024-11-29T17:43:59.635609Z'}}}}"} │ │ │ │ │ @@ -63,18 +63,18 @@ │ │ │ │ │ ] │ │ │ │ │ }, │ │ │ │ │ { │ │ │ │ │ "cell_type": "code", │ │ │ │ │ "execution_count": 1, │ │ │ │ │ "metadata": { │ │ │ │ │ "execution": { │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:17.906670Z", │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:17.906216Z", │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:17.912625Z", │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:17.912121Z" │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:43:59.620287Z", │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:43:59.619809Z", │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:43:59.636681Z", │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:43:59.635609Z" │ │ │ │ │ } │ │ │ │ │ }, │ │ │ │ │ "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': '2024-11-29T17:44:03.163577Z', " │ │ │ │ │┄ "'iopub.status.busy': '2024-11-29T17:44:03.163054Z', 'iopub.status.idle': " │ │ │ │ │┄ "'2024-11-29T17:44:03.197025Z', 'shell.execute_reply': " │ │ │ │ │┄ "'2024-11-29T17:44:03.195076Z'}}}}"} │ │ │ │ │ @@ -118,18 +118,18 @@ │ │ │ │ │ ] │ │ │ │ │ }, │ │ │ │ │ { │ │ │ │ │ "cell_type": "code", │ │ │ │ │ "execution_count": 1, │ │ │ │ │ "metadata": { │ │ │ │ │ "execution": { │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:19.375034Z", │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:19.374439Z", │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:19.381475Z", │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:19.380894Z" │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:44:03.163577Z", │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:44:03.163054Z", │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:44:03.197025Z", │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:44:03.195076Z" │ │ │ │ │ } │ │ │ │ │ }, │ │ │ │ │ "outputs": [ │ │ │ │ │ { │ │ │ │ │ "data": { │ │ │ │ │ "text/plain": [ │ │ │ │ │ "42" │ │ │ ├── ./usr/share/doc/python-nbsphinx/html/gallery/cell-metadata.html │ │ │ │ @@ -117,15 +117,15 @@ │ │ │ │
│ │ │ │
│ │ │ │
[5]:
│ │ │ │  
│ │ │ │
│ │ │ │
│ │ │ │
│ │ │ │ -<matplotlib.image.AxesImage at 0xed301240>
│ │ │ │ +<matplotlib.image.AxesImage at 0xed2991e0>
│ │ │ │  
│ │ │ │
│ │ │ │
│ │ │ │
│ │ │ │
│ │ │ │
│ │ │ │ ../_images/gallery_cell-metadata_7_1.svg │ │ │ │ ├── html2text {} │ │ │ │ │ @@ -24,15 +24,15 @@ │ │ │ │ │ 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] │ │ │ │ │ ************ _nn_bb_ss_pp_hh_ii_nn_xx ************ │ │ │ │ │ ******** NNaavviiggaattiioonn ******** │ │ │ │ │ * _I_n_s_t_a_l_l_a_t_i_o_n │ │ │ │ │ * _U_s_a_g_e │ │ │ │ │ * _C_o_n_f_i_g_u_r_a_t_i_o_n │ │ │ │ │ * _M_a_r_k_d_o_w_n_ _C_e_l_l_s │ │ │ ├── ./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': '2024-11-29T17:44:09.940123Z', " │ │ │ │ │ │┄ "'iopub.status.busy': '2024-11-29T17:44:09.939655Z', 'iopub.status.idle': " │ │ │ │ │ │┄ "'2024-11-29T17:44:11.343306Z', 'shell.execute_reply': " │ │ │ │ │ │┄ "'2024-11-29T17:44:11.335870Z'}}}, 3: {'metadata': {'execution': " │ │ │ │ │ │┄ "{'iopub.execute_input': '2024-11-29T17:44:11.355129Z', 'iopub.status.busy': " │ │ │ │ │ │┄ "'2024-11-29T17:44:11.354139Z', 'iopub.status.idle': '2024-11-29T17:44:1 […] │ │ │ │ │ │ @@ -35,35 +35,35 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 1, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:21.306186Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:21.305759Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:21.735600Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:21.734801Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:44:09.940123Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:44:09.939655Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:44:11.343306Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:44:11.335870Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "import matplotlib.pyplot as plt\n", │ │ │ │ │ │ "import numpy as np" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 2, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:21.738283Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:21.737768Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:21.741498Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:21.740764Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:44:11.355129Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:44:11.354139Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:44:11.360347Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:44:11.359318Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "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": "2026-01-02T00:00:21.743647Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:21.743224Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:21.747924Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:21.747174Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:44:11.366038Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:44:11.365614Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:44:11.373285Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:44:11.372163Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "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": "2026-01-02T00:00:21.750045Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:21.749630Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:21.753112Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:21.752398Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:44:11.379259Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:44:11.378756Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:44:11.387991Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:44:11.386787Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "zmax = np.max(np.abs(z))" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 5, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:21.755243Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:21.754682Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:22.157964Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:22.157199Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:44:11.396130Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:44:11.395682Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:44:13.539849Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:44:13.538755Z" │ │ │ │ │ │ }, │ │ │ │ │ │ "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=\"imagee323d01371\" transform=\"scale(1 -1) translate(0 -186)\" x=\"26.925\" y=\"-7.2\" width=\"279\" height=\"186\"/>\n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \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 │ │ │ │ @@ -82,15 +82,15 @@ │ │ │ │
│ │ │ │
│ │ │ │
[2]:
│ │ │ │  
│ │ │ │
│ │ │ │
│ │ │ │
│ │ │ │ -[<matplotlib.lines.Line2D at 0xed32cd08>]
│ │ │ │ +[<matplotlib.lines.Line2D at 0xed205d08>]
│ │ │ │  
│ │ │ │
│ │ │ │
│ │ │ │
│ │ │ │
│ │ │ │
│ │ │ │ ../_images/gallery_cell-tag_4_1.svg │ │ │ │ @@ -108,15 +108,15 @@ │ │ │ │
│ │ │ │
│ │ │ │
[3]:
│ │ │ │  
│ │ │ │
│ │ │ │
│ │ │ │
│ │ │ │ -<matplotlib.collections.PathCollection at 0xea73bf90>
│ │ │ │ +<matplotlib.collections.PathCollection at 0xea586228>
│ │ │ │  
│ │ │ │
│ │ │ │
│ │ │ │
│ │ │ │
│ │ │ │
│ │ │ │ ../_images/gallery_cell-tag_6_1.svg │ │ │ │ ├── html2text {} │ │ │ │ │ @@ -10,23 +10,23 @@ │ │ │ │ │ import matplotlib.pyplot as plt │ │ │ │ │ The following cell has the nbsphinx-thumbnail tag, which will take precedence │ │ │ │ │ over the default of the last image in the notebook: │ │ │ │ │ [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] │ │ │ │ │ Although the next cell has an image, it won’t be used as the thumbnail, due to │ │ │ │ │ the tag on the one above. │ │ │ │ │ [3]: │ │ │ │ │ fig, ax = plt.subplots(figsize=[6, 3]) │ │ │ │ │ ax.scatter(range(10), [0, 8, 9, 1, -8, -10, -3, 7, 10, 4]) │ │ │ │ │ [3]: │ │ │ │ │ - │ │ │ │ │ + │ │ │ │ │ [../_images/gallery_cell-tag_6_1.svg] │ │ │ │ │ ************ _nn_bb_ss_pp_hh_ii_nn_xx ************ │ │ │ │ │ ******** NNaavviiggaattiioonn ******** │ │ │ │ │ * _I_n_s_t_a_l_l_a_t_i_o_n │ │ │ │ │ * _U_s_a_g_e │ │ │ │ │ * _C_o_n_f_i_g_u_r_a_t_i_o_n │ │ │ │ │ * _M_a_r_k_d_o_w_n_ _C_e_l_l_s │ │ │ ├── ./usr/share/doc/python-nbsphinx/html/gallery/cell-tag.ipynb.gz │ │ │ │ ├── cell-tag.ipynb │ │ │ │ │ ├── Pretty-printed │ │ │ │ │ │┄ Similarity: 0.9987680190233108% │ │ │ │ │ │┄ Differences: {"'cells'": "{2: {'metadata': {'execution': {'iopub.execute_input': '2024-11-29T17:44:19.224997Z', " │ │ │ │ │ │┄ "'iopub.status.busy': '2024-11-29T17:44:19.224459Z', 'iopub.status.idle': " │ │ │ │ │ │┄ "'2024-11-29T17:44:20.351132Z', 'shell.execute_reply': " │ │ │ │ │ │┄ "'2024-11-29T17:44:20.349835Z'}}}, 4: {'metadata': {'execution': " │ │ │ │ │ │┄ "{'iopub.execute_input': '2024-11-29T17:44:20.372699Z', 'iopub.status.busy': " │ │ │ │ │ │┄ "'2024-11-29T17:44:20.371766Z', 'iopub.status.idle': '2024-11-29T17:44:2 […] │ │ │ │ │ │ @@ -27,18 +27,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 1, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:23.632569Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:23.632017Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:24.074812Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:24.073974Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:44:19.224997Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:44:19.224459Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:44:20.351132Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:44:20.349835Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "import matplotlib.pyplot as plt" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ @@ -50,28 +50,28 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 2, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:24.077721Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:24.077049Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:24.394884Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:24.394128Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:44:20.372699Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:44:20.371766Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:44:21.062306Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:44:21.061284Z" │ │ │ │ │ │ }, │ │ │ │ │ │ "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(#p170225affc)\" style=\"fill: none; stroke: #1f77b4; stroke-width: 1.5; stroke-linecap: square\"/>\n", │ │ │ │ │ │ + "\" clip-path=\"url(#p458e0c58d9)\" 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": [ │ │ │ │ │ │ "
" │ │ │ │ │ │ @@ -578,25 +578,25 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 3, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:24.397670Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:24.397317Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:24.617470Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:24.616701Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:44:21.076878Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:44:21.076139Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:44:21.635292Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:44:21.619484Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "text/plain": [ │ │ │ │ │ │ - "" │ │ │ │ │ │ + "" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ "execution_count": 3, │ │ │ │ │ │ "metadata": {}, │ │ │ │ │ │ "output_type": "execute_result" │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ @@ -640,49 +640,49 @@ │ │ │ │ │ │ "L 370.104688 7.2 \n", │ │ │ │ │ │ "L 35.304688 7.2 \n", │ │ │ │ │ │ "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", │ │ │ │ │ │ @@ -1029,15 +1029,15 @@ │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ "\n" │ │ │ │ │ │ ], │ │ │ │ │ │ "text/plain": [ │ │ │ │ │ │ "
" │ │ │ ├── ./usr/share/doc/python-nbsphinx/html/gallery/default-thumbnail.ipynb.gz │ │ │ │ ├── default-thumbnail.ipynb │ │ │ │ │ ├── Pretty-printed │ │ │ │ │ │┄ Similarity: 0.9986543459552496% │ │ │ │ │ │┄ Differences: {"'cells'": "{2: {'metadata': {'execution': {'iopub.execute_input': '2024-11-29T17:44:25.442725Z', " │ │ │ │ │ │┄ "'iopub.status.busy': '2024-11-29T17:44:25.442157Z', 'iopub.status.idle': " │ │ │ │ │ │┄ "'2024-11-29T17:44:26.528272Z', 'shell.execute_reply': " │ │ │ │ │ │┄ "'2024-11-29T17:44:26.526859Z'}}}, 4: {'metadata': {'execution': " │ │ │ │ │ │┄ "{'iopub.execute_input': '2024-11-29T17:44:26.535021Z', 'iopub.status.busy': " │ │ │ │ │ │┄ "'2024-11-29T17:44:26.533937Z', 'iopub.status.idle': '2024-11-29T17:44:2 […] │ │ │ │ │ │ @@ -28,18 +28,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 1, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:26.148995Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:26.148424Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:26.608498Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:26.607872Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:44:25.442725Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:44:25.442157Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:44:26.528272Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:44:26.526859Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "import matplotlib.pyplot as plt\n", │ │ │ │ │ │ "import numpy as np" │ │ │ │ │ │ ] │ │ │ │ │ │ @@ -52,18 +52,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 2, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:26.611296Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:26.610711Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:26.938270Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:26.937704Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:44:26.535021Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:44:26.533937Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:44:27.342829Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:44:27.324648Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "application/pdf": 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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", │ │ │ │ │ │ + "\" clip-path=\"url(#pef6b707fc5)\" style=\"fill: none; stroke: #1f77b4; stroke-width: 1.5; stroke-linecap: square\"/>\n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ @@ -540,15 +540,15 @@ │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ "\n" │ │ │ │ │ │ ], │ │ │ │ │ │ "text/plain": [ │ │ │ │ │ │ "
" │ │ │ │ │ │ @@ -573,18 +573,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 3, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:26.940652Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:26.940063Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:27.357069Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:27.356527Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:44:27.368445Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:44:27.367771Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:44:28.885079Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:44:28.883798Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "application/pdf": 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│ │ │ │ │ │ "image/svg+xml": [ │ │ │ │ │ │ @@ -627,20 +627,20 @@ │ │ │ │ │ │ "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", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ + "\" clip-path=\"url(#pa4f296c361)\" style=\"fill: none; stroke: #1f77b4; stroke-width: 1.5; stroke-linecap: square\"/>\n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ @@ -1061,15 +1061,15 @@ │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ "\n" │ │ │ │ │ │ ], │ │ │ │ │ │ "text/plain": [ │ │ │ │ │ │ "
" │ │ │ │ │ │ @@ -1121,20 +1121,20 @@ │ │ │ │ │ │ "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", │ │ │ │ │ │ @@ -1437,15 +1437,15 @@ │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ @@ -1453,30 +1453,30 @@ │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ @@ -1532,15 +1532,15 @@ │ │ │ │ │ │ "L 320.795614 34.118026 \n", │ │ │ │ │ │ "L 327.007117 40.411054 \n", │ │ │ │ │ │ "L 333.21862 46.336134 \n", │ │ │ │ │ │ "L 339.430122 49.712812 \n", │ │ │ │ │ │ "L 345.641625 49.50626 \n", │ │ │ │ │ │ "L 351.853128 46.106253 \n", │ │ │ │ │ │ "L 358.064631 41.062212 \n", │ │ │ │ │ │ - "\" clip-path=\"url(#pc728d75afb)\" style=\"fill: none; stroke: #ff0000; stroke-width: 1.5; stroke-linecap: square\"/>\n", │ │ │ │ │ │ + "\" clip-path=\"url(#pb5a902d28a)\" style=\"fill: none; stroke: #ff0000; stroke-width: 1.5; stroke-linecap: square\"/>\n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ @@ -1557,15 +1557,15 @@ │ │ │ │ │ │ " \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': '2024-11-29T17:44:36.580355Z', " │ │ │ │ │ │┄ "'iopub.status.busy': '2024-11-29T17:44:36.579854Z', 'iopub.status.idle': " │ │ │ │ │ │┄ "'2024-11-29T17:44:38.437600Z', 'shell.execute_reply': " │ │ │ │ │ │┄ "'2024-11-29T17:44:38.434881Z'}}}}"} │ │ │ │ │ │ @@ -37,18 +37,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 1, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:29.935767Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:29.935070Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:30.565597Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:30.564558Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:44:36.580355Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:44:36.579854Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:44:38.437600Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:44:38.434881Z" │ │ │ │ │ │ }, │ │ │ │ │ │ "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: 0.9988253134840306% │ │ │ │ │ │┄ Differences: {"'cells'": "{3: {'metadata': {'execution': {'iopub.execute_input': '2024-11-29T17:44:44.012301Z', " │ │ │ │ │ │┄ "'iopub.status.busy': '2024-11-29T17:44:44.011770Z', 'iopub.status.idle': " │ │ │ │ │ │┄ "'2024-11-29T17:44:45.075149Z', 'shell.execute_reply': " │ │ │ │ │ │┄ "'2024-11-29T17:44:45.072042Z'}}}, 4: {'metadata': {'execution': " │ │ │ │ │ │┄ "{'iopub.execute_input': '2024-11-29T17:44:45.083277Z', 'iopub.status.busy': " │ │ │ │ │ │┄ "'2024-11-29T17:44:45.082233Z', 'iopub.status.idle': '2024-11-29T17:44:4 […] │ │ │ │ │ │ @@ -50,34 +50,34 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 1, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:32.680479Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:32.680254Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:33.114980Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:33.114335Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:44:44.012301Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:44:44.011770Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:44:45.075149Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:44:45.072042Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "import matplotlib.pyplot as plt" │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 2, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:33.117712Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:33.117147Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:33.207133Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:33.206414Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:44:45.083277Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:44:45.082233Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:44:45.277833Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:44:45.276646Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [], │ │ │ │ │ │ "source": [ │ │ │ │ │ │ "fig, ax = plt.subplots()\n", │ │ │ │ │ │ "ax.plot([4, 8, 15, 16, 23, 42])\n", │ │ │ │ │ │ "fig.savefig('a-local-file.png')\n", │ │ │ │ │ │ @@ -115,18 +115,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 3, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:33.209573Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:33.209150Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:33.512196Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:33.511594Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:44:45.287915Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:44:45.286453Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:44:45.973164Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:44:45.972119Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "application/pdf": 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│ │ │ │ │ │ "image/svg+xml": [ │ │ │ │ │ │ @@ -169,20 +169,20 @@ │ │ │ │ │ │ "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", │ │ │ │ │ │ @@ -574,15 +574,15 @@ │ │ │ │ │ │ "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(#pc22087bbcd)\" style=\"fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #ff0000; stroke-width: 1.5\"/>\n", │ │ │ │ │ │ + "\" clip-path=\"url(#p22f3453bdf)\" style=\"fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #ff0000; stroke-width: 1.5\"/>\n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ @@ -599,15 +599,15 @@ │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ - " \n", │ │ │ │ │ │ + " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ " \n", │ │ │ │ │ │ "\n" │ │ │ │ │ │ ], │ │ │ │ │ │ "text/plain": [ │ │ │ │ │ │ "
" │ │ │ ├── ./usr/share/doc/python-nbsphinx/html/hidden-cells.ipynb │ │ │ │ ├── Pretty-printed │ │ │ │ │┄ Similarity: 0.9994140625% │ │ │ │ │┄ Differences: {"'cells'": "{2: {'metadata': {'execution': {'iopub.execute_input': '2024-11-29T17:44:51.120291Z', " │ │ │ │ │┄ "'iopub.status.busy': '2024-11-29T17:44:51.119793Z', 'iopub.status.idle': " │ │ │ │ │┄ "'2024-11-29T17:44:51.131218Z', 'shell.execute_reply': " │ │ │ │ │┄ "'2024-11-29T17:44:51.127851Z'}}}, 4: {'metadata': {'execution': " │ │ │ │ │┄ "{'iopub.execute_input': '2024-11-29T17:44:51.140210Z', 'iopub.status.busy': " │ │ │ │ │┄ "'2024-11-29T17:44:51.139763Z', 'iopub.status.idle': '2024-11-29T17:44:5 […] │ │ │ │ │ @@ -27,18 +27,18 @@ │ │ │ │ │ ] │ │ │ │ │ }, │ │ │ │ │ { │ │ │ │ │ "cell_type": "code", │ │ │ │ │ "execution_count": 1, │ │ │ │ │ "metadata": { │ │ │ │ │ "execution": { │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:35.494789Z", │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:35.494344Z", │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:35.497372Z", │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:35.496838Z" │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:44:51.120291Z", │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:44:51.119793Z", │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:44:51.131218Z", │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:44:51.127851Z" │ │ │ │ │ }, │ │ │ │ │ "nbsphinx": "hidden" │ │ │ │ │ }, │ │ │ │ │ "outputs": [], │ │ │ │ │ "source": [ │ │ │ │ │ "answer = 6 * 7" │ │ │ │ │ ] │ │ │ │ │ @@ -52,18 +52,18 @@ │ │ │ │ │ ] │ │ │ │ │ }, │ │ │ │ │ { │ │ │ │ │ "cell_type": "code", │ │ │ │ │ "execution_count": 2, │ │ │ │ │ "metadata": { │ │ │ │ │ "execution": { │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:35.499407Z", │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:35.498977Z", │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:35.504609Z", │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:35.504110Z" │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:44:51.140210Z", │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:44:51.139763Z", │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:44:51.158222Z", │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:44:51.156656Z" │ │ │ │ │ } │ │ │ │ │ }, │ │ │ │ │ "outputs": [ │ │ │ │ │ { │ │ │ │ │ "data": { │ │ │ │ │ "text/plain": [ │ │ │ │ │ "42" │ │ │ ├── ./usr/share/doc/python-nbsphinx/html/searchindex.js │ │ │ │ ├── js-beautify {} │ │ │ │ │ @@ -515,17 +515,17 @@ │ │ │ │ │ "03": 34, │ │ │ │ │ "04": [33, 34], │ │ │ │ │ "05": 34, │ │ │ │ │ "06": 34, │ │ │ │ │ "07": [33, 34], │ │ │ │ │ "08": [29, 33, 34], │ │ │ │ │ "09": 34, │ │ │ │ │ - "0xea73bf90": 10, │ │ │ │ │ - "0xed301240": 9, │ │ │ │ │ - "0xed32cd08": 10, │ │ │ │ │ + "0xea586228": 10, │ │ │ │ │ + "0xed205d08": 10, │ │ │ │ │ + "0xed2991e0": 9, │ │ │ │ │ "1": [0, 1, 2, 3, 4, 5, 7, 9, 10, 11, 14, 16, 19, 22, 25, 28, 29, 32, 34], │ │ │ │ │ "10": [0, 3, 10, 22, 28, 34], │ │ │ │ │ "100": 3, │ │ │ │ │ "1000": [3, 14], │ │ │ │ │ "1001": [3, 14], │ │ │ │ │ "1002": [3, 14], │ │ │ │ │ "1003": [3, 14], │ │ │ ├── ./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': '2024-11-29T17:45:21.280251Z', " │ │ │ │ │ │┄ "'iopub.status.busy': '2024-11-29T17:45:21.279797Z', 'iopub.status.idle': " │ │ │ │ │ │┄ "'2024-11-29T17:45:21.309151Z', 'shell.execute_reply': " │ │ │ │ │ │┄ "'2024-11-29T17:45:21.307222Z'}}}}"} │ │ │ │ │ │ @@ -21,18 +21,18 @@ │ │ │ │ │ │ ] │ │ │ │ │ │ }, │ │ │ │ │ │ { │ │ │ │ │ │ "cell_type": "code", │ │ │ │ │ │ "execution_count": 1, │ │ │ │ │ │ "metadata": { │ │ │ │ │ │ "execution": { │ │ │ │ │ │ - "iopub.execute_input": "2026-01-02T00:00:42.611303Z", │ │ │ │ │ │ - "iopub.status.busy": "2026-01-02T00:00:42.611070Z", │ │ │ │ │ │ - "iopub.status.idle": "2026-01-02T00:00:42.617941Z", │ │ │ │ │ │ - "shell.execute_reply": "2026-01-02T00:00:42.617399Z" │ │ │ │ │ │ + "iopub.execute_input": "2024-11-29T17:45:21.280251Z", │ │ │ │ │ │ + "iopub.status.busy": "2024-11-29T17:45:21.279797Z", │ │ │ │ │ │ + "iopub.status.idle": "2024-11-29T17:45:21.309151Z", │ │ │ │ │ │ + "shell.execute_reply": "2024-11-29T17:45:21.307222Z" │ │ │ │ │ │ } │ │ │ │ │ │ }, │ │ │ │ │ │ "outputs": [ │ │ │ │ │ │ { │ │ │ │ │ │ "data": { │ │ │ │ │ │ "image/png": 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", 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