\\n\",\n@@ -1622,34 +1622,34 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 26,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-11-07T11:33:35.393544Z\",\n- \"iopub.status.busy\": \"2024-11-07T11:33:35.392989Z\",\n- \"iopub.status.idle\": \"2024-11-07T11:33:35.401429Z\",\n- \"shell.execute_reply\": \"2024-11-07T11:33:35.400100Z\"\n+ \"iopub.execute_input\": \"2024-11-07T11:42:01.332770Z\",\n+ \"iopub.status.busy\": \"2024-11-07T11:42:01.330950Z\",\n+ \"iopub.status.idle\": \"2024-11-07T11:42:01.340506Z\",\n+ \"shell.execute_reply\": \"2024-11-07T11:42:01.338331Z\"\n }\n },\n \"outputs\": [],\n \"source\": [\n \"from IPython.display import Markdown\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 27,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-11-07T11:33:35.408271Z\",\n- \"iopub.status.busy\": \"2024-11-07T11:33:35.407717Z\",\n- \"iopub.status.idle\": \"2024-11-07T11:33:35.422106Z\",\n- \"shell.execute_reply\": \"2024-11-07T11:33:35.420779Z\"\n+ \"iopub.execute_input\": \"2024-11-07T11:42:01.349595Z\",\n+ \"iopub.status.busy\": \"2024-11-07T11:42:01.347754Z\",\n+ \"iopub.status.idle\": \"2024-11-07T11:42:01.361293Z\",\n+ \"shell.execute_reply\": \"2024-11-07T11:42:01.359494Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/markdown\": [\n \"\\n\",\n@@ -1721,18 +1721,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 28,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-11-07T11:33:35.428827Z\",\n- \"iopub.status.busy\": \"2024-11-07T11:33:35.428276Z\",\n- \"iopub.status.idle\": \"2024-11-07T11:33:35.442948Z\",\n- \"shell.execute_reply\": \"2024-11-07T11:33:35.441537Z\"\n+ \"iopub.execute_input\": \"2024-11-07T11:42:01.370456Z\",\n+ \"iopub.status.busy\": \"2024-11-07T11:42:01.368598Z\",\n+ \"iopub.status.idle\": \"2024-11-07T11:42:01.382756Z\",\n+ \"shell.execute_reply\": \"2024-11-07T11:42:01.380687Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/html\": [\n \"\\n\",\n@@ -1743,15 +1743,15 @@\n \" frameborder=\\\"0\\\"\\n\",\n \" allowfullscreen\\n\",\n \" \\n\",\n \" >\\n\",\n \" \"\n ],\n \"text/plain\": [\n- \"\"\n+ \"\"\n ]\n },\n \"execution_count\": 28,\n \"metadata\": {},\n \"output_type\": \"execute_result\"\n }\n ],\n@@ -1838,18 +1838,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 29,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-11-07T11:33:35.449871Z\",\n- \"iopub.status.busy\": \"2024-11-07T11:33:35.449336Z\",\n- \"iopub.status.idle\": \"2024-11-07T11:33:35.462931Z\",\n- \"shell.execute_reply\": \"2024-11-07T11:33:35.461447Z\"\n+ \"iopub.execute_input\": \"2024-11-07T11:42:01.393154Z\",\n+ \"iopub.status.busy\": \"2024-11-07T11:42:01.391322Z\",\n+ \"iopub.status.idle\": \"2024-11-07T11:42:01.405855Z\",\n+ \"shell.execute_reply\": \"2024-11-07T11:42:01.403832Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"application/javascript\": [\n \"\\n\",\n@@ -1884,18 +1884,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 30,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-11-07T11:33:35.469643Z\",\n- \"iopub.status.busy\": \"2024-11-07T11:33:35.469110Z\",\n- \"iopub.status.idle\": \"2024-11-07T11:33:35.481220Z\",\n- \"shell.execute_reply\": \"2024-11-07T11:33:35.479762Z\"\n+ \"iopub.execute_input\": \"2024-11-07T11:42:01.415525Z\",\n+ \"iopub.status.busy\": \"2024-11-07T11:42:01.413689Z\",\n+ \"iopub.status.idle\": \"2024-11-07T11:42:01.425415Z\",\n+ \"shell.execute_reply\": \"2024-11-07T11:42:01.423535Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/x-haskell\": [\n \"main = putStrLn \\\"Hello, world!\\\"\"\n@@ -1925,18 +1925,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 31,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-11-07T11:33:35.487865Z\",\n- \"iopub.status.busy\": \"2024-11-07T11:33:35.487314Z\",\n- \"iopub.status.idle\": \"2024-11-07T11:33:35.500498Z\",\n- \"shell.execute_reply\": \"2024-11-07T11:33:35.499117Z\"\n+ \"iopub.execute_input\": \"2024-11-07T11:42:01.433846Z\",\n+ \"iopub.status.busy\": \"2024-11-07T11:42:01.432493Z\",\n+ \"iopub.status.idle\": \"2024-11-07T11:42:01.443835Z\",\n+ \"shell.execute_reply\": \"2024-11-07T11:42:01.441788Z\"\n }\n },\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n@@ -1966,18 +1966,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 32,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-11-07T11:33:35.507031Z\",\n- \"iopub.status.busy\": \"2024-11-07T11:33:35.506501Z\",\n- \"iopub.status.idle\": \"2024-11-07T11:33:35.521511Z\",\n- \"shell.execute_reply\": \"2024-11-07T11:33:35.520142Z\"\n+ \"iopub.execute_input\": \"2024-11-07T11:42:01.455009Z\",\n+ \"iopub.status.busy\": \"2024-11-07T11:42:01.453672Z\",\n+ \"iopub.status.idle\": \"2024-11-07T11:42:01.470885Z\",\n+ \"shell.execute_reply\": \"2024-11-07T11:42:01.469018Z\"\n }\n },\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n@@ -2024,18 +2024,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 33,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-11-07T11:33:35.528495Z\",\n- \"iopub.status.busy\": \"2024-11-07T11:33:35.527963Z\",\n- \"iopub.status.idle\": \"2024-11-07T11:33:35.542422Z\",\n- \"shell.execute_reply\": \"2024-11-07T11:33:35.541007Z\"\n+ \"iopub.execute_input\": \"2024-11-07T11:42:01.480392Z\",\n+ \"iopub.status.busy\": \"2024-11-07T11:42:01.478494Z\",\n+ \"iopub.status.idle\": \"2024-11-07T11:42:01.493864Z\",\n+ \"shell.execute_reply\": \"2024-11-07T11:42:01.491953Z\"\n }\n },\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n@@ -2070,18 +2070,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 34,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-11-07T11:33:35.548994Z\",\n- \"iopub.status.busy\": \"2024-11-07T11:33:35.548411Z\",\n- \"iopub.status.idle\": \"2024-11-07T11:33:35.560737Z\",\n- \"shell.execute_reply\": \"2024-11-07T11:33:35.559427Z\"\n+ \"iopub.execute_input\": \"2024-11-07T11:42:01.503970Z\",\n+ \"iopub.status.busy\": \"2024-11-07T11:42:01.502064Z\",\n+ \"iopub.status.idle\": \"2024-11-07T11:42:01.517367Z\",\n+ \"shell.execute_reply\": \"2024-11-07T11:42:01.515390Z\"\n }\n },\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n"}]}]}, {"source1": "./usr/share/doc/python-nbsphinx/html/configuring-kernels.ipynb", "source2": "./usr/share/doc/python-nbsphinx/html/configuring-kernels.ipynb", "unified_diff": null, "details": [{"source1": "Pretty-printed", "source2": "Pretty-printed", "comments": ["Similarity: 0.999609375%", "Differences: {\"'cells'\": \"{5: {'metadata': {'execution': {'iopub.execute_input': '2024-11-07T11:42:17.086944Z', \"", " \"'iopub.status.busy': '2024-11-07T11:42:17.086068Z', 'iopub.status.idle': \"", " \"'2024-11-07T11:42:17.109664Z', 'shell.execute_reply': \"", " \"'2024-11-07T11:42:17.107526Z'}}}}\"}"], "unified_diff": "@@ -63,18 +63,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 1,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-11-07T11:33:46.042857Z\",\n- \"iopub.status.busy\": \"2024-11-07T11:33:46.042337Z\",\n- \"iopub.status.idle\": \"2024-11-07T11:33:46.061390Z\",\n- \"shell.execute_reply\": \"2024-11-07T11:33:46.060086Z\"\n+ \"iopub.execute_input\": \"2024-11-07T11:42:17.086944Z\",\n+ \"iopub.status.busy\": \"2024-11-07T11:42:17.086068Z\",\n+ \"iopub.status.idle\": \"2024-11-07T11:42:17.109664Z\",\n+ \"shell.execute_reply\": \"2024-11-07T11:42:17.107526Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/plain\": [\n \"'Hello from conf.py!'\"\n"}]}, {"source1": "./usr/share/doc/python-nbsphinx/html/custom-css.ipynb", "source2": "./usr/share/doc/python-nbsphinx/html/custom-css.ipynb", "unified_diff": null, "details": [{"source1": "Pretty-printed", "source2": "Pretty-printed", "comments": ["Similarity: 0.9994791666666667%", "Differences: {\"'cells'\": \"{5: {'metadata': {'execution': {'iopub.execute_input': '2024-11-07T11:42:21.789319Z', \"", " \"'iopub.status.busy': '2024-11-07T11:42:21.788462Z', 'iopub.status.idle': \"", " \"'2024-11-07T11:42:21.810665Z', 'shell.execute_reply': \"", " \"'2024-11-07T11:42:21.808482Z'}}}}\"}"], "unified_diff": "@@ -118,18 +118,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 1,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-11-07T11:33:49.496003Z\",\n- \"iopub.status.busy\": \"2024-11-07T11:33:49.495488Z\",\n- \"iopub.status.idle\": \"2024-11-07T11:33:49.514924Z\",\n- \"shell.execute_reply\": \"2024-11-07T11:33:49.513672Z\"\n+ \"iopub.execute_input\": \"2024-11-07T11:42:21.789319Z\",\n+ \"iopub.status.busy\": \"2024-11-07T11:42:21.788462Z\",\n+ \"iopub.status.idle\": \"2024-11-07T11:42:21.810665Z\",\n+ \"shell.execute_reply\": \"2024-11-07T11:42:21.808482Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/plain\": [\n \"42\"\n"}]}, {"source1": "./usr/share/doc/python-nbsphinx/html/gallery/cell-metadata.html", "source2": "./usr/share/doc/python-nbsphinx/html/gallery/cell-metadata.html", "unified_diff": "@@ -117,15 +117,15 @@\n
\n \n \n \n
\n [5]:\n \n
\n \n-<matplotlib.image.AxesImage at 0xadad4900>\n+<matplotlib.image.AxesImage at 0xeeb7a720>\n \n
\n
\n \n ![\"../_images/gallery_cell-metadata_7_1.svg\"](\"../_images/gallery_cell-metadata_7_1.svg\")
\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -24,15 +24,15 @@\n z = (1 - x / 2 + x ** 5 + y ** 3) * np.exp(-x ** 2 - y ** 2)\n [4]:\n zmax = np.max(np.abs(z))\n [5]:\n fig, ax = plt.subplots(figsize=[5, 3.5])\n ax.imshow(z, vmin=-zmax, vmax=zmax)\n [5]:\n-\n+\n [../_images/gallery_cell-metadata_7_1.svg]\n *\b**\b**\b**\b**\b**\b* _\bn\bn_\bb\bb_\bs\bs_\bp\bp_\bh\bh_\bi\bi_\bn\bn_\bx\bx *\b**\b**\b**\b**\b**\b*\n *\b**\b**\b**\b* N\bNa\bav\bvi\big\bga\bat\bti\bio\bon\bn *\b**\b**\b**\b*\n * _\bI_\bn_\bs_\bt_\ba_\bl_\bl_\ba_\bt_\bi_\bo_\bn\n * _\bU_\bs_\ba_\bg_\be\n * _\bC_\bo_\bn_\bf_\bi_\bg_\bu_\br_\ba_\bt_\bi_\bo_\bn\n * _\bM_\ba_\br_\bk_\bd_\bo_\bw_\bn_\b _\bC_\be_\bl_\bl_\bs\n"}]}, {"source1": "./usr/share/doc/python-nbsphinx/html/gallery/cell-metadata.ipynb.gz", "source2": "./usr/share/doc/python-nbsphinx/html/gallery/cell-metadata.ipynb.gz", "unified_diff": null, "details": [{"source1": "cell-metadata.ipynb", "source2": "cell-metadata.ipynb", "unified_diff": null, "details": [{"source1": "Pretty-printed", "source2": "Pretty-printed", "comments": ["Similarity: 0.9981915020489239%", "Differences: {\"'cells'\": \"{2: {'metadata': {'execution': {'iopub.execute_input': '2024-11-07T11:42:28.124769Z', \"", " \"'iopub.status.busy': '2024-11-07T11:42:28.123991Z', 'iopub.status.idle': \"", " \"'2024-11-07T11:42:29.568744Z', 'shell.execute_reply': \"", " \"'2024-11-07T11:42:29.566399Z'}}}, 3: {'metadata': {'execution': \"", " \"{'iopub.execute_input': '2024-11-07T11:42:29.577877Z', 'iopub.status.busy': \"", " \"'2024-11-07T11:42:29.576402Z', 'iopub.status.idle': '2024-11-07T11:42:2 [\u2026]"], "unified_diff": "@@ -35,35 +35,35 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 1,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-11-07T11:33:54.123967Z\",\n- \"iopub.status.busy\": \"2024-11-07T11:33:54.123444Z\",\n- \"iopub.status.idle\": \"2024-11-07T11:33:55.216085Z\",\n- \"shell.execute_reply\": \"2024-11-07T11:33:55.214807Z\"\n+ \"iopub.execute_input\": \"2024-11-07T11:42:28.124769Z\",\n+ \"iopub.status.busy\": \"2024-11-07T11:42:28.123991Z\",\n+ \"iopub.status.idle\": \"2024-11-07T11:42:29.568744Z\",\n+ \"shell.execute_reply\": \"2024-11-07T11:42:29.566399Z\"\n }\n },\n \"outputs\": [],\n \"source\": [\n \"import matplotlib.pyplot as plt\\n\",\n \"import numpy as np\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 2,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-11-07T11:33:55.224702Z\",\n- \"iopub.status.busy\": \"2024-11-07T11:33:55.223563Z\",\n- \"iopub.status.idle\": \"2024-11-07T11:33:55.233038Z\",\n- \"shell.execute_reply\": \"2024-11-07T11:33:55.231797Z\"\n+ \"iopub.execute_input\": \"2024-11-07T11:42:29.577877Z\",\n+ \"iopub.status.busy\": \"2024-11-07T11:42:29.576402Z\",\n+ \"iopub.status.idle\": \"2024-11-07T11:42:29.587081Z\",\n+ \"shell.execute_reply\": \"2024-11-07T11:42:29.584956Z\"\n }\n },\n \"outputs\": [],\n \"source\": [\n \"plt.rcParams['image.cmap'] = 'coolwarm'\\n\",\n \"plt.rcParams['image.origin'] = 'lower'\"\n ]\n@@ -77,61 +77,61 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 3,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-11-07T11:33:55.239551Z\",\n- \"iopub.status.busy\": \"2024-11-07T11:33:55.239036Z\",\n- \"iopub.status.idle\": \"2024-11-07T11:33:55.249836Z\",\n- \"shell.execute_reply\": \"2024-11-07T11:33:55.248586Z\"\n+ \"iopub.execute_input\": \"2024-11-07T11:42:29.595450Z\",\n+ \"iopub.status.busy\": \"2024-11-07T11:42:29.594667Z\",\n+ \"iopub.status.idle\": \"2024-11-07T11:42:29.607055Z\",\n+ \"shell.execute_reply\": \"2024-11-07T11:42:29.604986Z\"\n }\n },\n \"outputs\": [],\n \"source\": [\n \"x, y = np.meshgrid(np.arange(-3, 3, 0.1), np.arange(-2, 2, 0.1))\\n\",\n \"z = (1 - x / 2 + x ** 5 + y ** 3) * np.exp(-x ** 2 - y ** 2)\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 4,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-11-07T11:33:55.255924Z\",\n- \"iopub.status.busy\": \"2024-11-07T11:33:55.255434Z\",\n- \"iopub.status.idle\": \"2024-11-07T11:33:55.264104Z\",\n- \"shell.execute_reply\": \"2024-11-07T11:33:55.262899Z\"\n+ \"iopub.execute_input\": \"2024-11-07T11:42:29.615176Z\",\n+ \"iopub.status.busy\": \"2024-11-07T11:42:29.614346Z\",\n+ \"iopub.status.idle\": \"2024-11-07T11:42:29.624174Z\",\n+ \"shell.execute_reply\": \"2024-11-07T11:42:29.622051Z\"\n }\n },\n \"outputs\": [],\n \"source\": [\n \"zmax = np.max(np.abs(z))\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 5,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-11-07T11:33:55.270562Z\",\n- \"iopub.status.busy\": \"2024-11-07T11:33:55.270032Z\",\n- \"iopub.status.idle\": \"2024-11-07T11:33:56.292705Z\",\n- \"shell.execute_reply\": \"2024-11-07T11:33:56.291473Z\"\n+ \"iopub.execute_input\": \"2024-11-07T11:42:29.632825Z\",\n+ \"iopub.status.busy\": \"2024-11-07T11:42:29.631136Z\",\n+ \"iopub.status.idle\": \"2024-11-07T11:42:30.995401Z\",\n+ \"shell.execute_reply\": \"2024-11-07T11:42:30.993181Z\"\n },\n \"nbsphinx-thumbnail\": {\n \"tooltip\": \"This tooltip message was defined in cell metadata\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/plain\": [\n- \"\"\n+ \"\"\n ]\n },\n \"execution_count\": 5,\n \"metadata\": {},\n \"output_type\": \"execute_result\"\n },\n {\n@@ -173,28 +173,28 @@\n \" \\n\",\n+ \" \\n\",\n \" \\n\",\n+ 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\n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -24,15 +24,15 @@\n z = (1 - x / 2 + x ** 5 + y ** 3) * np.exp(-x ** 2 - y ** 2)\n [4]:\n zmax = np.max(np.abs(z))\n [5]:\n fig, ax = plt.subplots(figsize=[5, 3.5])\n ax.imshow(z, vmin=-zmax, vmax=zmax)\n [5]:\n-\n \n \n
\n [2]:\n \n
\n \n-[<matplotlib.lines.Line2D at 0xadb2a288>]\n+[<matplotlib.lines.Line2D at 0xee4e5288>]\n \n
\n
\n \n ![\"../_images/gallery_cell-tag_4_1.svg\"](\"../_images/gallery_cell-tag_4_1.svg\")
\n@@ -108,15 +108,15 @@\n
\n \n@@ -108,15 +108,15 @@\n \n \n \n
\n [3]:\n \n
\n \n-<matplotlib.collections.PathCollection at 0xab27f648>\n+<matplotlib.collections.PathCollection at 0xebc3a558>\n \n
\n
\n \n ![\"../_images/gallery_cell-tag_6_1.svg\"](\"../_images/gallery_cell-tag_6_1.svg\")
\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -10,23 +10,23 @@\n import matplotlib.pyplot as plt\n The following cell has the nbsphinx-thumbnail tag, which will take precedence\n over the default of the last image in the notebook:\n [2]:\n fig, ax = plt.subplots(figsize=[6, 3])\n ax.plot([4, 9, 7, 20, 6, 33, 13, 23, 16, 62, 8])\n [2]:\n-[]\n+[]\n [../_images/gallery_cell-tag_4_1.svg]\n Although the next cell has an image, it won\u2019t be used as the thumbnail, due to\n the tag on the one above.\n [3]:\n fig, ax = plt.subplots(figsize=[6, 3])\n ax.scatter(range(10), [0, 8, 9, 1, -8, -10, -3, 7, 10, 4])\n [3]:\n-\n+\n [../_images/gallery_cell-tag_6_1.svg]\n *\b**\b**\b**\b**\b**\b* _\bn\bn_\bb\bb_\bs\bs_\bp\bp_\bh\bh_\bi\bi_\bn\bn_\bx\bx *\b**\b**\b**\b**\b**\b*\n *\b**\b**\b**\b* N\bNa\bav\bvi\big\bga\bat\bti\bio\bon\bn *\b**\b**\b**\b*\n * _\bI_\bn_\bs_\bt_\ba_\bl_\bl_\ba_\bt_\bi_\bo_\bn\n * _\bU_\bs_\ba_\bg_\be\n * _\bC_\bo_\bn_\bf_\bi_\bg_\bu_\br_\ba_\bt_\bi_\bo_\bn\n * _\bM_\ba_\br_\bk_\bd_\bo_\bw_\bn_\b _\bC_\be_\bl_\bl_\bs\n"}]}, {"source1": "./usr/share/doc/python-nbsphinx/html/gallery/cell-tag.ipynb.gz", "source2": "./usr/share/doc/python-nbsphinx/html/gallery/cell-tag.ipynb.gz", "unified_diff": null, "details": [{"source1": "cell-tag.ipynb", "source2": "cell-tag.ipynb", "unified_diff": null, "details": [{"source1": "Pretty-printed", "source2": "Pretty-printed", "comments": ["Similarity: 0.9987680190233108%", "Differences: {\"'cells'\": \"{2: {'metadata': {'execution': {'iopub.execute_input': '2024-11-07T11:42:35.653758Z', \"", " \"'iopub.status.busy': '2024-11-07T11:42:35.651892Z', 'iopub.status.idle': \"", " \"'2024-11-07T11:42:37.120507Z', 'shell.execute_reply': \"", " \"'2024-11-07T11:42:37.118472Z'}}}, 4: {'metadata': {'execution': \"", " \"{'iopub.execute_input': '2024-11-07T11:42:37.129798Z', 'iopub.status.busy': \"", " \"'2024-11-07T11:42:37.128323Z', 'iopub.status.idle': '2024-11-07T11:42:3 [\u2026]"], "unified_diff": "@@ -27,18 +27,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 1,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-11-07T11:33:59.670965Z\",\n- \"iopub.status.busy\": \"2024-11-07T11:33:59.670447Z\",\n- \"iopub.status.idle\": \"2024-11-07T11:34:00.755954Z\",\n- \"shell.execute_reply\": \"2024-11-07T11:34:00.754647Z\"\n+ \"iopub.execute_input\": \"2024-11-07T11:42:35.653758Z\",\n+ \"iopub.status.busy\": \"2024-11-07T11:42:35.651892Z\",\n+ \"iopub.status.idle\": \"2024-11-07T11:42:37.120507Z\",\n+ \"shell.execute_reply\": \"2024-11-07T11:42:37.118472Z\"\n }\n },\n \"outputs\": [],\n \"source\": [\n \"import matplotlib.pyplot as plt\"\n ]\n },\n@@ -50,28 +50,28 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 2,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-11-07T11:34:00.763608Z\",\n- \"iopub.status.busy\": \"2024-11-07T11:34:00.762493Z\",\n- \"iopub.status.idle\": \"2024-11-07T11:34:01.508636Z\",\n- \"shell.execute_reply\": \"2024-11-07T11:34:01.507375Z\"\n+ \"iopub.execute_input\": \"2024-11-07T11:42:37.129798Z\",\n+ \"iopub.status.busy\": \"2024-11-07T11:42:37.128323Z\",\n+ \"iopub.status.idle\": \"2024-11-07T11:42:38.213271Z\",\n+ \"shell.execute_reply\": \"2024-11-07T11:42:38.211263Z\"\n },\n \"tags\": [\n \"nbsphinx-thumbnail\"\n ]\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/plain\": [\n- \"[]\"\n+ \"[]\"\n ]\n },\n \"execution_count\": 2,\n \"metadata\": {},\n \"output_type\": \"execute_result\"\n },\n {\n@@ -117,20 +117,20 @@\n \"z\\n\",\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 \" 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\"", " \"{'iopub.execute_input': '2024-11-07T11:42:45.212545Z', 'iopub.status.busy': \"", " \"'2024-11-07T11:42:45.211003Z', 'iopub.status.idle': '2024-11-07T11:42:4 [\u2026]"], "unified_diff": "@@ -28,18 +28,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 1,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-11-07T11:34:05.499364Z\",\n- \"iopub.status.busy\": \"2024-11-07T11:34:05.498876Z\",\n- \"iopub.status.idle\": \"2024-11-07T11:34:06.585273Z\",\n- \"shell.execute_reply\": \"2024-11-07T11:34:06.583938Z\"\n+ \"iopub.execute_input\": \"2024-11-07T11:42:43.710890Z\",\n+ \"iopub.status.busy\": \"2024-11-07T11:42:43.710135Z\",\n+ \"iopub.status.idle\": \"2024-11-07T11:42:45.202769Z\",\n+ \"shell.execute_reply\": \"2024-11-07T11:42:45.200674Z\"\n }\n },\n \"outputs\": [],\n \"source\": [\n \"import matplotlib.pyplot as plt\\n\",\n \"import numpy as np\"\n ]\n@@ -52,18 +52,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 2,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-11-07T11:34:06.592750Z\",\n- \"iopub.status.busy\": \"2024-11-07T11:34:06.591664Z\",\n- \"iopub.status.idle\": \"2024-11-07T11:34:07.335728Z\",\n- \"shell.execute_reply\": \"2024-11-07T11:34:07.334480Z\"\n+ \"iopub.execute_input\": \"2024-11-07T11:42:45.212545Z\",\n+ \"iopub.status.busy\": \"2024-11-07T11:42:45.211003Z\",\n+ \"iopub.status.idle\": \"2024-11-07T11:42:46.258517Z\",\n+ \"shell.execute_reply\": \"2024-11-07T11:42:46.256434Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"application/pdf\": 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'2024-11-07T11:43:41.122528Z', 'iopub.status.idle': \"", " \"'2024-11-07T11:43:41.146890Z', 'shell.execute_reply': \"", " \"'2024-11-07T11:43:41.144700Z'}}}}\"}"], "unified_diff": "@@ -21,18 +21,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 1,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-11-07T11:34:45.178799Z\",\n- \"iopub.status.busy\": \"2024-11-07T11:34:45.178264Z\",\n- \"iopub.status.idle\": \"2024-11-07T11:34:45.199308Z\",\n- \"shell.execute_reply\": \"2024-11-07T11:34:45.197912Z\"\n+ \"iopub.execute_input\": \"2024-11-07T11:43:41.123424Z\",\n+ \"iopub.status.busy\": \"2024-11-07T11:43:41.122528Z\",\n+ \"iopub.status.idle\": \"2024-11-07T11:43:41.146890Z\",\n+ \"shell.execute_reply\": \"2024-11-07T11:43:41.144700Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"image/png\": 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\",\n \"text/plain\": [\n"}]}]}]}]}]}]}
\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -10,23 +10,23 @@\n import matplotlib.pyplot as plt\n The following cell has the nbsphinx-thumbnail tag, which will take precedence\n over the default of the last image in the notebook:\n [2]:\n fig, ax = plt.subplots(figsize=[6, 3])\n ax.plot([4, 9, 7, 20, 6, 33, 13, 23, 16, 62, 8])\n [2]:\n-[