\\n\",\n@@ -1619,34 +1619,34 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 26,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2026-10-04T03:36:00.655537Z\",\n- \"iopub.status.busy\": \"2026-10-04T03:36:00.655320Z\",\n- \"iopub.status.idle\": \"2026-10-04T03:36:00.658286Z\",\n- \"shell.execute_reply\": \"2026-10-04T03:36:00.657484Z\"\n+ \"iopub.execute_input\": \"2025-08-31T21:18:17.332693Z\",\n+ \"iopub.status.busy\": \"2025-08-31T21:18:17.332480Z\",\n+ \"iopub.status.idle\": \"2025-08-31T21:18:17.335267Z\",\n+ \"shell.execute_reply\": \"2025-08-31T21:18:17.334699Z\"\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\": \"2026-10-04T03:36:00.660228Z\",\n- \"iopub.status.busy\": \"2026-10-04T03:36:00.660003Z\",\n- \"iopub.status.idle\": \"2026-10-04T03:36:00.663919Z\",\n- \"shell.execute_reply\": \"2026-10-04T03:36:00.663193Z\"\n+ \"iopub.execute_input\": \"2025-08-31T21:18:17.337038Z\",\n+ \"iopub.status.busy\": \"2025-08-31T21:18:17.336828Z\",\n+ \"iopub.status.idle\": \"2025-08-31T21:18:17.340804Z\",\n+ \"shell.execute_reply\": \"2025-08-31T21:18:17.340249Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/markdown\": [\n \"\\n\",\n@@ -1718,18 +1718,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 28,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2026-10-04T03:36:00.665774Z\",\n- \"iopub.status.busy\": \"2026-10-04T03:36:00.665560Z\",\n- \"iopub.status.idle\": \"2026-10-04T03:36:00.669640Z\",\n- \"shell.execute_reply\": \"2026-10-04T03:36:00.669064Z\"\n+ \"iopub.execute_input\": \"2025-08-31T21:18:17.342601Z\",\n+ \"iopub.status.busy\": \"2025-08-31T21:18:17.342391Z\",\n+ \"iopub.status.idle\": \"2025-08-31T21:18:17.346501Z\",\n+ \"shell.execute_reply\": \"2025-08-31T21:18:17.345948Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/html\": [\n \"\\n\",\n@@ -1740,15 +1740,15 @@\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@@ -1835,18 +1835,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 29,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2026-10-04T03:36:00.671437Z\",\n- \"iopub.status.busy\": \"2026-10-04T03:36:00.671225Z\",\n- \"iopub.status.idle\": \"2026-10-04T03:36:00.675334Z\",\n- \"shell.execute_reply\": \"2026-10-04T03:36:00.674506Z\"\n+ \"iopub.execute_input\": \"2025-08-31T21:18:17.348444Z\",\n+ \"iopub.status.busy\": \"2025-08-31T21:18:17.348234Z\",\n+ \"iopub.status.idle\": \"2025-08-31T21:18:17.352218Z\",\n+ \"shell.execute_reply\": \"2025-08-31T21:18:17.351653Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"application/javascript\": [\n \"\\n\",\n@@ -1881,18 +1881,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 30,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2026-10-04T03:36:00.677075Z\",\n- \"iopub.status.busy\": \"2026-10-04T03:36:00.676847Z\",\n- \"iopub.status.idle\": \"2026-10-04T03:36:00.680317Z\",\n- \"shell.execute_reply\": \"2026-10-04T03:36:00.679571Z\"\n+ \"iopub.execute_input\": \"2025-08-31T21:18:17.354021Z\",\n+ \"iopub.status.busy\": \"2025-08-31T21:18:17.353811Z\",\n+ \"iopub.status.idle\": \"2025-08-31T21:18:17.357247Z\",\n+ \"shell.execute_reply\": \"2025-08-31T21:18:17.356708Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/x-haskell\": [\n \"main = putStrLn \\\"Hello, world!\\\"\"\n@@ -1922,18 +1922,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 31,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2026-10-04T03:36:00.682137Z\",\n- \"iopub.status.busy\": \"2026-10-04T03:36:00.681927Z\",\n- \"iopub.status.idle\": \"2026-10-04T03:36:00.685192Z\",\n- \"shell.execute_reply\": \"2026-10-04T03:36:00.684512Z\"\n+ \"iopub.execute_input\": \"2025-08-31T21:18:17.359052Z\",\n+ \"iopub.status.busy\": \"2025-08-31T21:18:17.358842Z\",\n+ \"iopub.status.idle\": \"2025-08-31T21:18:17.362221Z\",\n+ \"shell.execute_reply\": \"2025-08-31T21:18:17.361659Z\"\n }\n },\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n@@ -1963,18 +1963,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 32,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2026-10-04T03:36:00.686955Z\",\n- \"iopub.status.busy\": \"2026-10-04T03:36:00.686747Z\",\n- \"iopub.status.idle\": \"2026-10-04T03:36:00.692129Z\",\n- \"shell.execute_reply\": \"2026-10-04T03:36:00.691382Z\"\n+ \"iopub.execute_input\": \"2025-08-31T21:18:17.363996Z\",\n+ \"iopub.status.busy\": \"2025-08-31T21:18:17.363764Z\",\n+ \"iopub.status.idle\": \"2025-08-31T21:18:17.368802Z\",\n+ \"shell.execute_reply\": \"2025-08-31T21:18:17.368228Z\"\n }\n },\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n@@ -2021,18 +2021,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 33,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2026-10-04T03:36:00.693937Z\",\n- \"iopub.status.busy\": \"2026-10-04T03:36:00.693723Z\",\n- \"iopub.status.idle\": \"2026-10-04T03:36:00.698418Z\",\n- \"shell.execute_reply\": \"2026-10-04T03:36:00.697715Z\"\n+ \"iopub.execute_input\": \"2025-08-31T21:18:17.370647Z\",\n+ \"iopub.status.busy\": \"2025-08-31T21:18:17.370437Z\",\n+ \"iopub.status.idle\": \"2025-08-31T21:18:17.374909Z\",\n+ \"shell.execute_reply\": \"2025-08-31T21:18:17.374330Z\"\n }\n },\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n@@ -2067,18 +2067,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 34,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2026-10-04T03:36:00.700219Z\",\n- \"iopub.status.busy\": \"2026-10-04T03:36:00.700005Z\",\n- \"iopub.status.idle\": \"2026-10-04T03:36:00.704290Z\",\n- \"shell.execute_reply\": \"2026-10-04T03:36:00.703564Z\"\n+ \"iopub.execute_input\": \"2025-08-31T21:18:17.376680Z\",\n+ \"iopub.status.busy\": \"2025-08-31T21:18:17.376469Z\",\n+ \"iopub.status.idle\": \"2025-08-31T21:18:17.380729Z\",\n+ \"shell.execute_reply\": \"2025-08-31T21:18:17.380161Z\"\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': '2025-08-31T21:18:21.648049Z', \"", " \"'iopub.status.busy': '2025-08-31T21:18:21.647828Z', 'iopub.status.idle': \"", " \"'2025-08-31T21:18:21.653979Z', 'shell.execute_reply': \"", " \"'2025-08-31T21:18:21.653437Z'}}}}\"}"], "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\": \"2026-10-04T03:36:04.889351Z\",\n- \"iopub.status.busy\": \"2026-10-04T03:36:04.889139Z\",\n- \"iopub.status.idle\": \"2026-10-04T03:36:04.895948Z\",\n- \"shell.execute_reply\": \"2026-10-04T03:36:04.895054Z\"\n+ \"iopub.execute_input\": \"2025-08-31T21:18:21.648049Z\",\n+ \"iopub.status.busy\": \"2025-08-31T21:18:21.647828Z\",\n+ \"iopub.status.idle\": \"2025-08-31T21:18:21.653979Z\",\n+ \"shell.execute_reply\": \"2025-08-31T21:18:21.653437Z\"\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': '2025-08-31T21:18:23.439575Z', \"", " \"'iopub.status.busy': '2025-08-31T21:18:23.439348Z', 'iopub.status.idle': \"", " \"'2025-08-31T21:18:23.445577Z', 'shell.execute_reply': \"", " \"'2025-08-31T21:18:23.445073Z'}}}}\"}"], "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\": \"2026-10-04T03:36:06.333525Z\",\n- \"iopub.status.busy\": \"2026-10-04T03:36:06.333302Z\",\n- \"iopub.status.idle\": \"2026-10-04T03:36:06.339410Z\",\n- \"shell.execute_reply\": \"2026-10-04T03:36:06.338539Z\"\n+ \"iopub.execute_input\": \"2025-08-31T21:18:23.439575Z\",\n+ \"iopub.status.busy\": \"2025-08-31T21:18:23.439348Z\",\n+ \"iopub.status.idle\": \"2025-08-31T21:18:23.445577Z\",\n+ \"shell.execute_reply\": \"2025-08-31T21:18:23.445073Z\"\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 0x7f10b939bb60>\n+<matplotlib.image.AxesImage at 0x7f62984abb60>\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': '2025-08-31T21:18:25.504333Z', \"", " \"'iopub.status.busy': '2025-08-31T21:18:25.504121Z', 'iopub.status.idle': \"", " \"'2025-08-31T21:18:25.901009Z', 'shell.execute_reply': \"", " \"'2025-08-31T21:18:25.900332Z'}}}, 3: {'metadata': {'execution': \"", " \"{'iopub.execute_input': '2025-08-31T21:18:25.903599Z', 'iopub.status.busy': \"", " \"'2025-08-31T21:18:25.903322Z', 'iopub.status.idle': '2025-08-31T21:18:2 [\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\": \"2026-10-04T03:36:08.197950Z\",\n- \"iopub.status.busy\": \"2026-10-04T03:36:08.197742Z\",\n- \"iopub.status.idle\": \"2026-10-04T03:36:08.588254Z\",\n- \"shell.execute_reply\": \"2026-10-04T03:36:08.587354Z\"\n+ \"iopub.execute_input\": \"2025-08-31T21:18:25.504333Z\",\n+ \"iopub.status.busy\": \"2025-08-31T21:18:25.504121Z\",\n+ \"iopub.status.idle\": \"2025-08-31T21:18:25.901009Z\",\n+ \"shell.execute_reply\": \"2025-08-31T21:18:25.900332Z\"\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\": \"2026-10-04T03:36:08.590349Z\",\n- \"iopub.status.busy\": \"2026-10-04T03:36:08.590066Z\",\n- \"iopub.status.idle\": \"2026-10-04T03:36:08.593371Z\",\n- \"shell.execute_reply\": \"2026-10-04T03:36:08.592617Z\"\n+ \"iopub.execute_input\": \"2025-08-31T21:18:25.903599Z\",\n+ \"iopub.status.busy\": \"2025-08-31T21:18:25.903322Z\",\n+ \"iopub.status.idle\": \"2025-08-31T21:18:25.906227Z\",\n+ \"shell.execute_reply\": \"2025-08-31T21:18:25.905675Z\"\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\": \"2026-10-04T03:36:08.595382Z\",\n- \"iopub.status.busy\": \"2026-10-04T03:36:08.595171Z\",\n- \"iopub.status.idle\": \"2026-10-04T03:36:08.599038Z\",\n- \"shell.execute_reply\": \"2026-10-04T03:36:08.598218Z\"\n+ \"iopub.execute_input\": \"2025-08-31T21:18:25.907978Z\",\n+ \"iopub.status.busy\": \"2025-08-31T21:18:25.907731Z\",\n+ \"iopub.status.idle\": \"2025-08-31T21:18:25.911317Z\",\n+ \"shell.execute_reply\": \"2025-08-31T21:18:25.910744Z\"\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\": \"2026-10-04T03:36:08.600816Z\",\n- \"iopub.status.busy\": \"2026-10-04T03:36:08.600609Z\",\n- \"iopub.status.idle\": \"2026-10-04T03:36:08.603603Z\",\n- \"shell.execute_reply\": \"2026-10-04T03:36:08.602816Z\"\n+ \"iopub.execute_input\": \"2025-08-31T21:18:25.912981Z\",\n+ \"iopub.status.busy\": \"2025-08-31T21:18:25.912776Z\",\n+ \"iopub.status.idle\": \"2025-08-31T21:18:25.915559Z\",\n+ \"shell.execute_reply\": \"2025-08-31T21:18:25.915004Z\"\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\": \"2026-10-04T03:36:08.605296Z\",\n- \"iopub.status.busy\": \"2026-10-04T03:36:08.605091Z\",\n- \"iopub.status.idle\": \"2026-10-04T03:36:08.932455Z\",\n- \"shell.execute_reply\": \"2026-10-04T03:36:08.931869Z\"\n+ \"iopub.execute_input\": \"2025-08-31T21:18:25.917268Z\",\n+ \"iopub.status.busy\": \"2025-08-31T21:18:25.917062Z\",\n+ \"iopub.status.idle\": \"2025-08-31T21:18:26.251204Z\",\n+ \"shell.execute_reply\": \"2025-08-31T21:18:26.250609Z\"\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 0x7f2fe5dcc7d0>]\n+[<matplotlib.lines.Line2D at 0x7fee1c408910>]\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 0x7f2fe5b91160>\n+<matplotlib.collections.PathCollection at 0x7fee1c1cd160>\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': '2025-08-31T21:18:28.107105Z', \"", " \"'iopub.status.busy': '2025-08-31T21:18:28.106892Z', 'iopub.status.idle': \"", " \"'2025-08-31T21:18:28.515286Z', 'shell.execute_reply': \"", " \"'2025-08-31T21:18:28.514358Z'}}}, 4: {'metadata': {'execution': \"", " \"{'iopub.execute_input': '2025-08-31T21:18:28.518060Z', 'iopub.status.busy': \"", " \"'2025-08-31T21:18:28.517757Z', 'iopub.status.idle': '2025-08-31T21:18:2 [\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\": \"2026-10-04T03:36:10.544414Z\",\n- \"iopub.status.busy\": \"2026-10-04T03:36:10.544201Z\",\n- \"iopub.status.idle\": \"2026-10-04T03:36:10.938465Z\",\n- \"shell.execute_reply\": \"2026-10-04T03:36:10.937580Z\"\n+ \"iopub.execute_input\": \"2025-08-31T21:18:28.107105Z\",\n+ \"iopub.status.busy\": \"2025-08-31T21:18:28.106892Z\",\n+ \"iopub.status.idle\": \"2025-08-31T21:18:28.515286Z\",\n+ \"shell.execute_reply\": \"2025-08-31T21:18:28.514358Z\"\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\": \"2026-10-04T03:36:10.941152Z\",\n- \"iopub.status.busy\": \"2026-10-04T03:36:10.940868Z\",\n- \"iopub.status.idle\": \"2026-10-04T03:36:11.217275Z\",\n- \"shell.execute_reply\": \"2026-10-04T03:36:11.216609Z\"\n+ \"iopub.execute_input\": \"2025-08-31T21:18:28.518060Z\",\n+ \"iopub.status.busy\": \"2025-08-31T21:18:28.517757Z\",\n+ \"iopub.status.idle\": \"2025-08-31T21:18:28.804162Z\",\n+ \"shell.execute_reply\": \"2025-08-31T21:18:28.803520Z\"\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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'2025-08-31T21:18:31.054363Z', 'iopub.status.busy': \"", " \"'2025-08-31T21:18:31.054076Z', 'iopub.status.idle': '2025-08-31T21:18:3 [\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\": \"2026-10-04T03:36:12.904152Z\",\n- \"iopub.status.busy\": \"2026-10-04T03:36:12.903942Z\",\n- \"iopub.status.idle\": \"2026-10-04T03:36:13.297436Z\",\n- \"shell.execute_reply\": \"2026-10-04T03:36:13.296819Z\"\n+ \"iopub.execute_input\": \"2025-08-31T21:18:30.650605Z\",\n+ \"iopub.status.busy\": \"2025-08-31T21:18:30.650392Z\",\n+ \"iopub.status.idle\": \"2025-08-31T21:18:31.051805Z\",\n+ \"shell.execute_reply\": \"2025-08-31T21:18:31.050955Z\"\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\": \"2026-10-04T03:36:13.299885Z\",\n- \"iopub.status.busy\": \"2026-10-04T03:36:13.299613Z\",\n- \"iopub.status.idle\": \"2026-10-04T03:36:13.580726Z\",\n- \"shell.execute_reply\": \"2026-10-04T03:36:13.580171Z\"\n+ \"iopub.execute_input\": \"2025-08-31T21:18:31.054363Z\",\n+ \"iopub.status.busy\": \"2025-08-31T21:18:31.054076Z\",\n+ \"iopub.status.idle\": \"2025-08-31T21:18:31.334866Z\",\n+ \"shell.execute_reply\": \"2025-08-31T21:18:31.334044Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"application/pdf\": 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'2025-08-31T21:18:46.914403Z', 'iopub.status.idle': \"", " \"'2025-08-31T21:18:46.921355Z', 'shell.execute_reply': \"", " \"'2025-08-31T21:18:46.920808Z'}}}}\"}"], "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\": \"2026-10-04T03:36:28.205355Z\",\n- \"iopub.status.busy\": \"2026-10-04T03:36:28.205145Z\",\n- \"iopub.status.idle\": \"2026-10-04T03:36:28.211156Z\",\n- \"shell.execute_reply\": \"2026-10-04T03:36:28.210642Z\"\n+ \"iopub.execute_input\": \"2025-08-31T21:18:46.914615Z\",\n+ \"iopub.status.busy\": \"2025-08-31T21:18:46.914403Z\",\n+ \"iopub.status.idle\": \"2025-08-31T21:18:46.921355Z\",\n+ \"shell.execute_reply\": \"2025-08-31T21:18:46.920808Z\"\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-[