\\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\": \"2024-11-06T05:18:59.293688Z\",\n- \"iopub.status.busy\": \"2024-11-06T05:18:59.293411Z\",\n- \"iopub.status.idle\": \"2024-11-06T05:18:59.305349Z\",\n- \"shell.execute_reply\": \"2024-11-06T05:18:59.304582Z\"\n+ \"iopub.execute_input\": \"2025-12-09T11:47:43.972450Z\",\n+ \"iopub.status.busy\": \"2025-12-09T11:47:43.972166Z\",\n+ \"iopub.status.idle\": \"2025-12-09T11:47:43.976028Z\",\n+ \"shell.execute_reply\": \"2025-12-09T11:47:43.975308Z\"\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\": \"2024-11-06T05:18:59.313662Z\",\n- \"iopub.status.busy\": \"2024-11-06T05:18:59.313375Z\",\n- \"iopub.status.idle\": \"2024-11-06T05:18:59.329323Z\",\n- \"shell.execute_reply\": \"2024-11-06T05:18:59.328583Z\"\n+ \"iopub.execute_input\": \"2025-12-09T11:47:43.981396Z\",\n+ \"iopub.status.busy\": \"2025-12-09T11:47:43.980196Z\",\n+ \"iopub.status.idle\": \"2025-12-09T11:47:43.989036Z\",\n+ \"shell.execute_reply\": \"2025-12-09T11:47:43.987773Z\"\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\": \"2024-11-06T05:18:59.332957Z\",\n- \"iopub.status.busy\": \"2024-11-06T05:18:59.332667Z\",\n- \"iopub.status.idle\": \"2024-11-06T05:18:59.349291Z\",\n- \"shell.execute_reply\": \"2024-11-06T05:18:59.348582Z\"\n+ \"iopub.execute_input\": \"2025-12-09T11:47:43.995437Z\",\n+ \"iopub.status.busy\": \"2025-12-09T11:47:43.994239Z\",\n+ \"iopub.status.idle\": \"2025-12-09T11:47:44.003576Z\",\n+ \"shell.execute_reply\": \"2025-12-09T11:47:44.002280Z\"\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\": \"2024-11-06T05:18:59.352941Z\",\n- \"iopub.status.busy\": \"2024-11-06T05:18:59.352652Z\",\n- \"iopub.status.idle\": \"2024-11-06T05:18:59.369293Z\",\n- \"shell.execute_reply\": \"2024-11-06T05:18:59.368584Z\"\n+ \"iopub.execute_input\": \"2025-12-09T11:47:44.009805Z\",\n+ \"iopub.status.busy\": \"2025-12-09T11:47:44.008747Z\",\n+ \"iopub.status.idle\": \"2025-12-09T11:47:44.017973Z\",\n+ \"shell.execute_reply\": \"2025-12-09T11:47:44.016705Z\"\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\": \"2024-11-06T05:18:59.372847Z\",\n- \"iopub.status.busy\": \"2024-11-06T05:18:59.372572Z\",\n- \"iopub.status.idle\": \"2024-11-06T05:18:59.389301Z\",\n- \"shell.execute_reply\": \"2024-11-06T05:18:59.388579Z\"\n+ \"iopub.execute_input\": \"2025-12-09T11:47:44.023854Z\",\n+ \"iopub.status.busy\": \"2025-12-09T11:47:44.022792Z\",\n+ \"iopub.status.idle\": \"2025-12-09T11:47:44.030666Z\",\n+ \"shell.execute_reply\": \"2025-12-09T11:47:44.029430Z\"\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\": \"2024-11-06T05:18:59.392866Z\",\n- \"iopub.status.busy\": \"2024-11-06T05:18:59.392601Z\",\n- \"iopub.status.idle\": \"2024-11-06T05:18:59.398786Z\",\n- \"shell.execute_reply\": \"2024-11-06T05:18:59.398194Z\"\n+ \"iopub.execute_input\": \"2025-12-09T11:47:44.036622Z\",\n+ \"iopub.status.busy\": \"2025-12-09T11:47:44.035427Z\",\n+ \"iopub.status.idle\": \"2025-12-09T11:47:44.042770Z\",\n+ \"shell.execute_reply\": \"2025-12-09T11:47:44.041459Z\"\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\": \"2024-11-06T05:18:59.401925Z\",\n- \"iopub.status.busy\": \"2024-11-06T05:18:59.401664Z\",\n- \"iopub.status.idle\": \"2024-11-06T05:18:59.417291Z\",\n- \"shell.execute_reply\": \"2024-11-06T05:18:59.416575Z\"\n+ \"iopub.execute_input\": \"2025-12-09T11:47:44.047717Z\",\n+ \"iopub.status.busy\": \"2025-12-09T11:47:44.047416Z\",\n+ \"iopub.status.idle\": \"2025-12-09T11:47:44.055241Z\",\n+ \"shell.execute_reply\": \"2025-12-09T11:47:44.053890Z\"\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\": \"2024-11-06T05:18:59.420866Z\",\n- \"iopub.status.busy\": \"2024-11-06T05:18:59.420594Z\",\n- \"iopub.status.idle\": \"2024-11-06T05:18:59.433296Z\",\n- \"shell.execute_reply\": \"2024-11-06T05:18:59.432575Z\"\n+ \"iopub.execute_input\": \"2025-12-09T11:47:44.060645Z\",\n+ \"iopub.status.busy\": \"2025-12-09T11:47:44.060094Z\",\n+ \"iopub.status.idle\": \"2025-12-09T11:47:44.069467Z\",\n+ \"shell.execute_reply\": \"2025-12-09T11:47:44.068428Z\"\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\": \"2024-11-06T05:18:59.436843Z\",\n- \"iopub.status.busy\": \"2024-11-06T05:18:59.436569Z\",\n- \"iopub.status.idle\": \"2024-11-06T05:18:59.449303Z\",\n- \"shell.execute_reply\": \"2024-11-06T05:18:59.448586Z\"\n+ \"iopub.execute_input\": \"2025-12-09T11:47:44.075575Z\",\n+ \"iopub.status.busy\": \"2025-12-09T11:47:44.074306Z\",\n+ \"iopub.status.idle\": \"2025-12-09T11:47:44.083635Z\",\n+ \"shell.execute_reply\": \"2025-12-09T11:47:44.082051Z\"\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': '2025-12-09T11:47:52.509726Z', \"", " \"'iopub.status.busy': '2025-12-09T11:47:52.509452Z', 'iopub.status.idle': \"", " \"'2025-12-09T11:47:52.535278Z', 'shell.execute_reply': \"", " \"'2025-12-09T11:47:52.523031Z'}}}}\"}"], "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\": \"2024-11-06T05:19:21.809584Z\",\n- \"iopub.status.busy\": \"2024-11-06T05:19:21.809300Z\",\n- \"iopub.status.idle\": \"2024-11-06T05:19:21.821143Z\",\n- \"shell.execute_reply\": \"2024-11-06T05:19:21.820538Z\"\n+ \"iopub.execute_input\": \"2025-12-09T11:47:52.509726Z\",\n+ \"iopub.status.busy\": \"2025-12-09T11:47:52.509452Z\",\n+ \"iopub.status.idle\": \"2025-12-09T11:47:52.535278Z\",\n+ \"shell.execute_reply\": \"2025-12-09T11:47:52.523031Z\"\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': '2025-12-09T11:47:54.848364Z', \"", " \"'iopub.status.busy': '2025-12-09T11:47:54.848040Z', 'iopub.status.idle': \"", " \"'2025-12-09T11:47:54.860098Z', 'shell.execute_reply': \"", " \"'2025-12-09T11:47:54.859307Z'}}}}\"}"], "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\": \"2024-11-06T05:19:27.635134Z\",\n- \"iopub.status.busy\": \"2024-11-06T05:19:27.634871Z\",\n- \"iopub.status.idle\": \"2024-11-06T05:19:27.654233Z\",\n- \"shell.execute_reply\": \"2024-11-06T05:19:27.653564Z\"\n+ \"iopub.execute_input\": \"2025-12-09T11:47:54.848364Z\",\n+ \"iopub.status.busy\": \"2025-12-09T11:47:54.848040Z\",\n+ \"iopub.status.idle\": \"2025-12-09T11:47:54.860098Z\",\n+ \"shell.execute_reply\": \"2025-12-09T11:47:54.859307Z\"\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 0xffff66807e30>\n+<matplotlib.image.AxesImage at 0xffff8702fa10>\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': '2025-12-09T11:47:57.788277Z', \"", " \"'iopub.status.busy': '2025-12-09T11:47:57.787977Z', 'iopub.status.idle': \"", " \"'2025-12-09T11:47:58.388022Z', 'shell.execute_reply': \"", " \"'2025-12-09T11:47:58.387284Z'}}}, 3: {'metadata': {'execution': \"", " \"{'iopub.execute_input': '2025-12-09T11:47:58.396743Z', 'iopub.status.busy': \"", " \"'2025-12-09T11:47:58.396039Z', 'iopub.status.idle': '2025-12-09T11:47:5 [\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\": \"2024-11-06T05:19:34.945878Z\",\n- \"iopub.status.busy\": \"2024-11-06T05:19:34.945604Z\",\n- \"iopub.status.idle\": \"2024-11-06T05:19:36.569354Z\",\n- \"shell.execute_reply\": \"2024-11-06T05:19:36.568600Z\"\n+ \"iopub.execute_input\": \"2025-12-09T11:47:57.788277Z\",\n+ \"iopub.status.busy\": \"2025-12-09T11:47:57.787977Z\",\n+ \"iopub.status.idle\": \"2025-12-09T11:47:58.388022Z\",\n+ \"shell.execute_reply\": \"2025-12-09T11:47:58.387284Z\"\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\": \"2024-11-06T05:19:36.573348Z\",\n- \"iopub.status.busy\": \"2024-11-06T05:19:36.572647Z\",\n- \"iopub.status.idle\": \"2024-11-06T05:19:36.585351Z\",\n- \"shell.execute_reply\": \"2024-11-06T05:19:36.584604Z\"\n+ \"iopub.execute_input\": \"2025-12-09T11:47:58.396743Z\",\n+ \"iopub.status.busy\": \"2025-12-09T11:47:58.396039Z\",\n+ \"iopub.status.idle\": \"2025-12-09T11:47:58.404015Z\",\n+ \"shell.execute_reply\": \"2025-12-09T11:47:58.403271Z\"\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\": \"2024-11-06T05:19:36.589128Z\",\n- \"iopub.status.busy\": \"2024-11-06T05:19:36.588810Z\",\n- \"iopub.status.idle\": \"2024-11-06T05:19:36.601330Z\",\n- \"shell.execute_reply\": \"2024-11-06T05:19:36.600587Z\"\n+ \"iopub.execute_input\": \"2025-12-09T11:47:58.412327Z\",\n+ \"iopub.status.busy\": \"2025-12-09T11:47:58.412013Z\",\n+ \"iopub.status.idle\": \"2025-12-09T11:47:58.417362Z\",\n+ \"shell.execute_reply\": \"2025-12-09T11:47:58.416597Z\"\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\": \"2024-11-06T05:19:36.605008Z\",\n- \"iopub.status.busy\": \"2024-11-06T05:19:36.604694Z\",\n- \"iopub.status.idle\": \"2024-11-06T05:19:36.613314Z\",\n- \"shell.execute_reply\": \"2024-11-06T05:19:36.612592Z\"\n+ \"iopub.execute_input\": \"2025-12-09T11:47:58.420893Z\",\n+ \"iopub.status.busy\": \"2025-12-09T11:47:58.420452Z\",\n+ \"iopub.status.idle\": \"2025-12-09T11:47:58.424516Z\",\n+ \"shell.execute_reply\": \"2025-12-09T11:47:58.423442Z\"\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\": \"2024-11-06T05:19:36.616944Z\",\n- \"iopub.status.busy\": \"2024-11-06T05:19:36.616642Z\",\n- \"iopub.status.idle\": \"2024-11-06T05:19:37.793321Z\",\n- \"shell.execute_reply\": \"2024-11-06T05:19:37.792583Z\"\n+ \"iopub.execute_input\": \"2025-12-09T11:47:58.427954Z\",\n+ \"iopub.status.busy\": \"2025-12-09T11:47:58.427440Z\",\n+ \"iopub.status.idle\": \"2025-12-09T11:47:58.797042Z\",\n+ \"shell.execute_reply\": \"2025-12-09T11:47:58.796071Z\"\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 0xffff81eb0410>]\n+[<matplotlib.lines.Line2D at 0xffff63e6c4d0>]\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 0xffff81ee7320>\n+<matplotlib.collections.PathCollection at 0xffff6115c9b0>\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': '2025-12-09T11:48:00.961025Z', \"", " \"'iopub.status.busy': '2025-12-09T11:48:00.960112Z', 'iopub.status.idle': \"", " \"'2025-12-09T11:48:01.471298Z', 'shell.execute_reply': \"", " \"'2025-12-09T11:48:01.470330Z'}}}, 4: {'metadata': {'execution': \"", " \"{'iopub.execute_input': '2025-12-09T11:48:01.476546Z', 'iopub.status.busy': \"", " \"'2025-12-09T11:48:01.475888Z', 'iopub.status.idle': '2025-12-09T11:48:0 [\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\": \"2024-11-06T05:19:42.137660Z\",\n- \"iopub.status.busy\": \"2024-11-06T05:19:42.137352Z\",\n- \"iopub.status.idle\": \"2024-11-06T05:19:43.921389Z\",\n- \"shell.execute_reply\": \"2024-11-06T05:19:43.920606Z\"\n+ \"iopub.execute_input\": \"2025-12-09T11:48:00.961025Z\",\n+ \"iopub.status.busy\": \"2025-12-09T11:48:00.960112Z\",\n+ \"iopub.status.idle\": \"2025-12-09T11:48:01.471298Z\",\n+ \"shell.execute_reply\": \"2025-12-09T11:48:01.470330Z\"\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\": \"2024-11-06T05:19:43.928077Z\",\n- \"iopub.status.busy\": \"2024-11-06T05:19:43.927361Z\",\n- \"iopub.status.idle\": \"2024-11-06T05:19:44.911461Z\",\n- \"shell.execute_reply\": \"2024-11-06T05:19:44.910740Z\"\n+ \"iopub.execute_input\": \"2025-12-09T11:48:01.476546Z\",\n+ \"iopub.status.busy\": \"2025-12-09T11:48:01.475888Z\",\n+ \"iopub.status.idle\": \"2025-12-09T11:48:01.777839Z\",\n+ \"shell.execute_reply\": \"2025-12-09T11:48:01.776369Z\"\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': '2025-12-09T11:48:04.612959Z', 'iopub.status.busy': \"", " \"'2025-12-09T11:48:04.612257Z', 'iopub.status.idle': '2025-12-09T11:48:0 [\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\": \"2024-11-06T05:19:53.089622Z\",\n- \"iopub.status.busy\": \"2024-11-06T05:19:53.089331Z\",\n- \"iopub.status.idle\": \"2024-11-06T05:19:54.513390Z\",\n- \"shell.execute_reply\": \"2024-11-06T05:19:54.512604Z\"\n+ \"iopub.execute_input\": \"2025-12-09T11:48:04.097352Z\",\n+ \"iopub.status.busy\": \"2025-12-09T11:48:04.096801Z\",\n+ \"iopub.status.idle\": \"2025-12-09T11:48:04.607909Z\",\n+ \"shell.execute_reply\": \"2025-12-09T11:48:04.606924Z\"\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\": \"2024-11-06T05:19:54.520099Z\",\n- \"iopub.status.busy\": \"2024-11-06T05:19:54.519387Z\",\n- \"iopub.status.idle\": \"2024-11-06T05:19:55.601375Z\",\n- \"shell.execute_reply\": \"2024-11-06T05:19:55.600599Z\"\n+ \"iopub.execute_input\": \"2025-12-09T11:48:04.612959Z\",\n+ \"iopub.status.busy\": \"2025-12-09T11:48:04.612257Z\",\n+ \"iopub.status.idle\": \"2025-12-09T11:48:04.917067Z\",\n+ \"shell.execute_reply\": \"2025-12-09T11:48:04.916255Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"application/pdf\": 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\"'iopub.status.busy': '2025-12-09T11:48:28.552498Z', 'iopub.status.idle': \"", " \"'2025-12-09T11:48:28.566715Z', 'shell.execute_reply': \"", " \"'2025-12-09T11:48:28.565506Z'}}}}\"}"], "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\": \"2024-11-06T05:21:03.941646Z\",\n- \"iopub.status.busy\": \"2024-11-06T05:21:03.941344Z\",\n- \"iopub.status.idle\": \"2024-11-06T05:21:03.977353Z\",\n- \"shell.execute_reply\": \"2024-11-06T05:21:03.976600Z\"\n+ \"iopub.execute_input\": \"2025-12-09T11:48:28.553052Z\",\n+ \"iopub.status.busy\": \"2025-12-09T11:48:28.552498Z\",\n+ \"iopub.status.idle\": \"2025-12-09T11:48:28.566715Z\",\n+ \"shell.execute_reply\": \"2025-12-09T11:48:28.565506Z\"\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-[