\\n\",\n@@ -1552,18 +1552,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 25,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-05-02T03:53:38.179316Z\",\n- \"iopub.status.busy\": \"2024-05-02T03:53:38.177957Z\",\n- \"iopub.status.idle\": \"2024-05-02T03:53:38.325578Z\",\n- \"shell.execute_reply\": \"2024-05-02T03:53:38.324470Z\"\n+ \"iopub.execute_input\": \"2025-06-04T10:27:58.030709Z\",\n+ \"iopub.status.busy\": \"2025-06-04T10:27:58.030439Z\",\n+ \"iopub.status.idle\": \"2025-06-04T10:27:58.227277Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:27:58.226481Z\"\n }\n },\n \"outputs\": [\n {\n \"ename\": \"OptionError\",\n \"evalue\": \"No such keys(s): 'display.latex.repr'\",\n \"output_type\": \"error\",\n@@ -1597,18 +1597,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 26,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-05-02T03:53:38.330551Z\",\n- \"iopub.status.busy\": \"2024-05-02T03:53:38.330256Z\",\n- \"iopub.status.idle\": \"2024-05-02T03:53:38.369551Z\",\n- \"shell.execute_reply\": \"2024-05-02T03:53:38.368386Z\"\n+ \"iopub.execute_input\": \"2025-06-04T10:27:58.231040Z\",\n+ \"iopub.status.busy\": \"2025-06-04T10:27:58.230778Z\",\n+ \"iopub.status.idle\": \"2025-06-04T10:27:58.307297Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:27:58.306548Z\"\n }\n },\n \"outputs\": [\n {\n \"ename\": \"OptionError\",\n \"evalue\": \"No such keys(s): 'display.latex.longtable'\",\n \"output_type\": \"error\",\n@@ -1638,18 +1638,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 27,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-05-02T03:53:38.374298Z\",\n- \"iopub.status.busy\": \"2024-05-02T03:53:38.374002Z\",\n- \"iopub.status.idle\": \"2024-05-02T03:53:38.412821Z\",\n- \"shell.execute_reply\": \"2024-05-02T03:53:38.411761Z\"\n+ \"iopub.execute_input\": \"2025-06-04T10:27:58.311029Z\",\n+ \"iopub.status.busy\": \"2025-06-04T10:27:58.310766Z\",\n+ \"iopub.status.idle\": \"2025-06-04T10:27:58.391263Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:27:58.390486Z\"\n }\n },\n \"outputs\": [\n {\n \"ename\": \"OptionError\",\n \"evalue\": \"No such keys(s): 'display.latex.escape'\",\n \"output_type\": \"error\",\n@@ -1676,18 +1676,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 28,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-05-02T03:53:38.417554Z\",\n- \"iopub.status.busy\": \"2024-05-02T03:53:38.417233Z\",\n- \"iopub.status.idle\": \"2024-05-02T03:53:38.427769Z\",\n- \"shell.execute_reply\": \"2024-05-02T03:53:38.426687Z\"\n+ \"iopub.execute_input\": \"2025-06-04T10:27:58.395324Z\",\n+ \"iopub.status.busy\": \"2025-06-04T10:27:58.395035Z\",\n+ \"iopub.status.idle\": \"2025-06-04T10:27:58.415252Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:27:58.414480Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/html\": [\n \"
\\n\",\n@@ -1823,34 +1823,34 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 29,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-05-02T03:53:38.433017Z\",\n- \"iopub.status.busy\": \"2024-05-02T03:53:38.432722Z\",\n- \"iopub.status.idle\": \"2024-05-02T03:53:38.437854Z\",\n- \"shell.execute_reply\": \"2024-05-02T03:53:38.436750Z\"\n+ \"iopub.execute_input\": \"2025-06-04T10:27:58.419031Z\",\n+ \"iopub.status.busy\": \"2025-06-04T10:27:58.418766Z\",\n+ \"iopub.status.idle\": \"2025-06-04T10:27:58.427232Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:27:58.426479Z\"\n }\n },\n \"outputs\": [],\n \"source\": [\n \"from IPython.display import Markdown\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 30,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-05-02T03:53:38.442628Z\",\n- \"iopub.status.busy\": \"2024-05-02T03:53:38.442332Z\",\n- \"iopub.status.idle\": \"2024-05-02T03:53:38.449398Z\",\n- \"shell.execute_reply\": \"2024-05-02T03:53:38.448280Z\"\n+ \"iopub.execute_input\": \"2025-06-04T10:27:58.431005Z\",\n+ \"iopub.status.busy\": \"2025-06-04T10:27:58.430743Z\",\n+ \"iopub.status.idle\": \"2025-06-04T10:27:58.443257Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:27:58.442483Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/markdown\": [\n \"\\n\",\n@@ -1922,18 +1922,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 31,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-05-02T03:53:38.454499Z\",\n- \"iopub.status.busy\": \"2024-05-02T03:53:38.454189Z\",\n- \"iopub.status.idle\": \"2024-05-02T03:53:38.473184Z\",\n- \"shell.execute_reply\": \"2024-05-02T03:53:38.472131Z\"\n+ \"iopub.execute_input\": \"2025-06-04T10:27:58.447116Z\",\n+ \"iopub.status.busy\": \"2025-06-04T10:27:58.446852Z\",\n+ \"iopub.status.idle\": \"2025-06-04T10:27:58.483256Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:27:58.482483Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/html\": [\n \"\\n\",\n@@ -1944,15 +1944,15 @@\n \" frameborder=\\\"0\\\"\\n\",\n \" allowfullscreen\\n\",\n \" \\n\",\n \" >\\n\",\n \" \"\n ],\n \"text/plain\": [\n- \"\"\n+ \"\"\n ]\n },\n \"execution_count\": 31,\n \"metadata\": {},\n \"output_type\": \"execute_result\"\n }\n ],\n@@ -2039,18 +2039,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 32,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-05-02T03:53:38.478134Z\",\n- \"iopub.status.busy\": \"2024-05-02T03:53:38.477833Z\",\n- \"iopub.status.idle\": \"2024-05-02T03:53:38.484242Z\",\n- \"shell.execute_reply\": \"2024-05-02T03:53:38.483241Z\"\n+ \"iopub.execute_input\": \"2025-06-04T10:27:58.487493Z\",\n+ \"iopub.status.busy\": \"2025-06-04T10:27:58.487231Z\",\n+ \"iopub.status.idle\": \"2025-06-04T10:27:58.499241Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:27:58.498479Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"application/javascript\": [\n \"\\n\",\n@@ -2085,18 +2085,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 33,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-05-02T03:53:38.489363Z\",\n- \"iopub.status.busy\": \"2024-05-02T03:53:38.489040Z\",\n- \"iopub.status.idle\": \"2024-05-02T03:53:38.494246Z\",\n- \"shell.execute_reply\": \"2024-05-02T03:53:38.493483Z\"\n+ \"iopub.execute_input\": \"2025-06-04T10:27:58.503025Z\",\n+ \"iopub.status.busy\": \"2025-06-04T10:27:58.502762Z\",\n+ \"iopub.status.idle\": \"2025-06-04T10:27:58.515254Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:27:58.514499Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/x-haskell\": [\n \"main = putStrLn \\\"Hello, world!\\\"\"\n@@ -2126,18 +2126,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 34,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-05-02T03:53:38.500247Z\",\n- \"iopub.status.busy\": \"2024-05-02T03:53:38.499923Z\",\n- \"iopub.status.idle\": \"2024-05-02T03:53:38.506358Z\",\n- \"shell.execute_reply\": \"2024-05-02T03:53:38.505428Z\"\n+ \"iopub.execute_input\": \"2025-06-04T10:27:58.519061Z\",\n+ \"iopub.status.busy\": \"2025-06-04T10:27:58.518799Z\",\n+ \"iopub.status.idle\": \"2025-06-04T10:27:58.525435Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:27:58.524808Z\"\n }\n },\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n@@ -2167,18 +2167,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 35,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-05-02T03:53:38.512840Z\",\n- \"iopub.status.busy\": \"2024-05-02T03:53:38.512488Z\",\n- \"iopub.status.idle\": \"2024-05-02T03:53:38.521523Z\",\n- \"shell.execute_reply\": \"2024-05-02T03:53:38.520182Z\"\n+ \"iopub.execute_input\": \"2025-06-04T10:27:58.528750Z\",\n+ \"iopub.status.busy\": \"2025-06-04T10:27:58.528490Z\",\n+ \"iopub.status.idle\": \"2025-06-04T10:27:58.547234Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:27:58.546484Z\"\n }\n },\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n@@ -2225,18 +2225,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 36,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-05-02T03:53:38.526677Z\",\n- \"iopub.status.busy\": \"2024-05-02T03:53:38.526315Z\",\n- \"iopub.status.idle\": \"2024-05-02T03:53:38.535699Z\",\n- \"shell.execute_reply\": \"2024-05-02T03:53:38.534219Z\"\n+ \"iopub.execute_input\": \"2025-06-04T10:27:58.551003Z\",\n+ \"iopub.status.busy\": \"2025-06-04T10:27:58.550745Z\",\n+ \"iopub.status.idle\": \"2025-06-04T10:27:58.567233Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:27:58.566480Z\"\n }\n },\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n@@ -2271,18 +2271,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 37,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2024-05-02T03:53:38.541109Z\",\n- \"iopub.status.busy\": \"2024-05-02T03:53:38.540734Z\",\n- \"iopub.status.idle\": \"2024-05-02T03:53:38.549817Z\",\n- \"shell.execute_reply\": \"2024-05-02T03:53:38.548444Z\"\n+ \"iopub.execute_input\": \"2025-06-04T10:27:58.570957Z\",\n+ \"iopub.status.busy\": \"2025-06-04T10:27:58.570692Z\",\n+ \"iopub.status.idle\": \"2025-06-04T10:27:58.583232Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:27:58.582479Z\"\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': '2025-06-04T10:28:13.534121Z', \"", " \"'iopub.status.busy': '2025-06-04T10:28:13.533818Z', 'iopub.status.idle': \"", " \"'2025-06-04T10:28:13.563384Z', 'shell.execute_reply': \"", " \"'2025-06-04T10:28:13.562621Z'}}}}\"}"], "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\": \"2024-05-02T03:53:42.766006Z\",\n- \"iopub.status.busy\": \"2024-05-02T03:53:42.764705Z\",\n- \"iopub.status.idle\": \"2024-05-02T03:53:42.794780Z\",\n- \"shell.execute_reply\": \"2024-05-02T03:53:42.793119Z\"\n+ \"iopub.execute_input\": \"2025-06-04T10:28:13.534121Z\",\n+ \"iopub.status.busy\": \"2025-06-04T10:28:13.533818Z\",\n+ \"iopub.status.idle\": \"2025-06-04T10:28:13.563384Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:28:13.562621Z\"\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': '2025-06-04T10:28:17.815615Z', \"", " \"'iopub.status.busy': '2025-06-04T10:28:17.815303Z', 'iopub.status.idle': \"", " \"'2025-06-04T10:28:17.859198Z', 'shell.execute_reply': \"", " \"'2025-06-04T10:28:17.858497Z'}}}}\"}"], "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\": \"2024-05-02T03:53:45.028267Z\",\n- \"iopub.status.busy\": \"2024-05-02T03:53:45.027611Z\",\n- \"iopub.status.idle\": \"2024-05-02T03:53:45.057176Z\",\n- \"shell.execute_reply\": \"2024-05-02T03:53:45.055611Z\"\n+ \"iopub.execute_input\": \"2025-06-04T10:28:17.815615Z\",\n+ \"iopub.status.busy\": \"2025-06-04T10:28:17.815303Z\",\n+ \"iopub.status.idle\": \"2025-06-04T10:28:17.859198Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:28:17.858497Z\"\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": "@@ -369,15 +369,15 @@\n
\n \n \n \n
\n [5]:\n \n
\n \n-<matplotlib.image.AxesImage at 0xffff84bf17d0>\n+<matplotlib.image.AxesImage at 0xffff601389d0>\n \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 * _\bM_\ba_\br_\bk_\bd_\bo_\bw_\bn_\b _\bC_\be_\bl_\bl_\bs\n * _\bC_\bo_\bd_\be_\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': '2025-06-04T10:28:24.527670Z', \"", " \"'iopub.status.busy': '2025-06-04T10:28:24.527335Z', 'iopub.status.idle': \"", " \"'2025-06-04T10:28:25.667331Z', 'shell.execute_reply': \"", " \"'2025-06-04T10:28:25.666503Z'}}}, 3: {'metadata': {'execution': \"", " \"{'iopub.execute_input': '2025-06-04T10:28:25.671461Z', 'iopub.status.busy': \"", " \"'2025-06-04T10:28:25.671083Z', 'iopub.status.idle': '2025-06-04T10:28:2 [\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\": \"2024-05-02T03:53:47.527389Z\",\n- \"iopub.status.busy\": \"2024-05-02T03:53:47.527074Z\",\n- \"iopub.status.idle\": \"2024-05-02T03:53:48.033186Z\",\n- \"shell.execute_reply\": \"2024-05-02T03:53:48.032482Z\"\n+ \"iopub.execute_input\": \"2025-06-04T10:28:24.527670Z\",\n+ \"iopub.status.busy\": \"2025-06-04T10:28:24.527335Z\",\n+ \"iopub.status.idle\": \"2025-06-04T10:28:25.667331Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:28:25.666503Z\"\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\": \"2024-05-02T03:53:48.036703Z\",\n- \"iopub.status.busy\": \"2024-05-02T03:53:48.036328Z\",\n- \"iopub.status.idle\": \"2024-05-02T03:53:48.041122Z\",\n- \"shell.execute_reply\": \"2024-05-02T03:53:48.040466Z\"\n+ \"iopub.execute_input\": \"2025-06-04T10:28:25.671461Z\",\n+ \"iopub.status.busy\": \"2025-06-04T10:28:25.671083Z\",\n+ \"iopub.status.idle\": \"2025-06-04T10:28:25.679350Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:28:25.678563Z\"\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\": \"2024-05-02T03:53:48.044741Z\",\n- \"iopub.status.busy\": \"2024-05-02T03:53:48.043991Z\",\n- \"iopub.status.idle\": \"2024-05-02T03:53:48.048905Z\",\n- \"shell.execute_reply\": \"2024-05-02T03:53:48.048318Z\"\n+ \"iopub.execute_input\": \"2025-06-04T10:28:25.683247Z\",\n+ \"iopub.status.busy\": \"2025-06-04T10:28:25.682971Z\",\n+ \"iopub.status.idle\": \"2025-06-04T10:28:25.699250Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:28:25.698489Z\"\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\": \"2024-05-02T03:53:48.052476Z\",\n- \"iopub.status.busy\": \"2024-05-02T03:53:48.051772Z\",\n- \"iopub.status.idle\": \"2024-05-02T03:53:48.055742Z\",\n- \"shell.execute_reply\": \"2024-05-02T03:53:48.055146Z\"\n+ \"iopub.execute_input\": \"2025-06-04T10:28:25.703083Z\",\n+ \"iopub.status.busy\": \"2025-06-04T10:28:25.702806Z\",\n+ \"iopub.status.idle\": \"2025-06-04T10:28:25.711667Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:28:25.710526Z\"\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\": \"2024-05-02T03:53:48.059208Z\",\n- \"iopub.status.busy\": \"2024-05-02T03:53:48.058929Z\",\n- \"iopub.status.idle\": \"2024-05-02T03:53:48.419090Z\",\n- \"shell.execute_reply\": \"2024-05-02T03:53:48.418486Z\"\n+ \"iopub.execute_input\": \"2025-06-04T10:28:25.715638Z\",\n+ \"iopub.status.busy\": \"2025-06-04T10:28:25.715357Z\",\n+ \"iopub.status.idle\": \"2025-06-04T10:28:26.491455Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:28:26.490666Z\"\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
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\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
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\n \n-[<matplotlib.lines.Line2D at 0xffff65d35690>]\n+[<matplotlib.lines.Line2D at 0xffff77f1c610>]\n \n ]\n+[]\n [../_images/gallery_cell-tag_4_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 * _\bM_\ba_\br_\bk_\bd_\bo_\bw_\bn_\b _\bC_\be_\bl_\bl_\bs\n * _\bC_\bo_\bd_\be_\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: 0.9989821257872245%", "Differences: {\"'cells'\": \"{2: {'metadata': {'execution': 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\"2025-06-04T10:28:32.327318Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:28:32.326501Z\"\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\": \"2024-05-02T03:53:50.947815Z\",\n- \"iopub.status.busy\": \"2024-05-02T03:53:50.947421Z\",\n- \"iopub.status.idle\": \"2024-05-02T03:53:51.256144Z\",\n- \"shell.execute_reply\": \"2024-05-02T03:53:51.255138Z\"\n+ \"iopub.execute_input\": \"2025-06-04T10:28:32.335660Z\",\n+ \"iopub.status.busy\": \"2025-06-04T10:28:32.335287Z\",\n+ \"iopub.status.idle\": \"2025-06-04T10:28:33.315473Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:28:33.314633Z\"\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\": 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\"2024-05-02T03:54:06.564013Z\",\n- \"iopub.status.idle\": \"2024-05-02T03:54:06.582853Z\",\n- \"shell.execute_reply\": \"2024-05-02T03:54:06.582156Z\"\n+ \"iopub.execute_input\": \"2025-06-04T10:29:17.766799Z\",\n+ \"iopub.status.busy\": \"2025-06-04T10:29:17.766465Z\",\n+ \"iopub.status.idle\": \"2025-06-04T10:29:17.795215Z\",\n+ \"shell.execute_reply\": \"2025-06-04T10:29:17.794487Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"image/png\": 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\",\n \"text/plain\": [\n"}]}]}, {"source1": "./usr/share/doc/python-nbsphinx/nbsphinx.pdf", "source2": "./usr/share/doc/python-nbsphinx/nbsphinx.pdf", "unified_diff": null, "details": [{"source1": "pdftotext {} -", "source2": "pdftotext {} -", "unified_diff": "@@ -2066,15 +2066,15 @@\n False\n True\n \n 4.3.7 YouTube Videos\n \n [31]: from IPython.display import YouTubeVideo\n YouTubeVideo('9_OIs49m56E')\n-[31]: \n+[31]: \n \n 40\n \n \f4.3.8 Interactive Widgets (HTML only)\n The basic widget infrastructure is provided by the ipywidgets152 module. More advanced widgets are\n available in separate packages, see for example https://jupyter.org/widgets.\n The JavaScript code which is needed to display Jupyter widgets is loaded automatically (using RequireJS). If you want to use non-default URLs or local files, you can use the nbsphinx_widgets_path\n@@ -2882,15 +2882,15 @@\n Metadata to Select a Thumbnail (page 57).\n \n [1]: import matplotlib.pyplot as plt\n The following cell has the nbsphinx-thumbnail tag:\n \n [2]: fig, ax = plt.subplots(figsize=[6, 3])\n ax.plot([4, 9, 7, 20, 6, 33, 13, 23, 16, 62, 8])\n-[2]: []\n+[2]: []\n \n 60\n 50\n 40\n 30\n 20\n 10\n@@ -2937,15 +2937,15 @@\n html:\n \n [3]: 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)\n [4]: zmax = np.max(np.abs(z))\n [5]: fig, ax = plt.subplots(figsize=[5, 3.5])\n ax.imshow(z, vmin=-zmax, vmax=zmax)\n-[5]: \n+[5]: \n \n 35\n 30\n 25\n 20\n 15\n 10\n"}]}]}]}]}]}
\n
\n \n ![\"../_images/gallery_cell-tag_4_1.svg\"](\"../_images/gallery_cell-tag_4_1.svg\")
\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -9,15 +9,15 @@\n [1]:\n import matplotlib.pyplot as plt\n The following cell has the nbsphinx-thumbnail tag:\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-[