Offset 1, 3 lines modified | Offset 1, 3 lines modified | ||
1 | · | 1 | ·32048ccafd89bc91b6017a63e487c47e·95048·doc·optional·python-jupyter-sphinx-doc_0.5.3-1_all.deb |
2 | ·ee0f24335c350c799cf70816cc2154bc·19032·science·optional·python3-jupyter-sphinx_0.5.3-1_all.deb | 2 | ·ee0f24335c350c799cf70816cc2154bc·19032·science·optional·python3-jupyter-sphinx_0.5.3-1_all.deb |
Offset 1, 3 lines modified | Offset 1, 3 lines modified | ||
1 | -rw-r--r--···0········0········0········4·2025-07-13·12:44:00.000000·debian-binary | 1 | -rw-r--r--···0········0········0········4·2025-07-13·12:44:00.000000·debian-binary |
2 | -rw-r--r--···0········0········0·····1492·2025-07-13·12:44:00.000000·control.tar.xz | 2 | -rw-r--r--···0········0········0·····1492·2025-07-13·12:44:00.000000·control.tar.xz |
3 | -rw-r--r--···0········0········0····933 | 3 | -rw-r--r--···0········0········0····93364·2025-07-13·12:44:00.000000·data.tar.xz |
Offset 4, 15 lines modified | Offset 4, 15 lines modified | ||
4 | drwxr-xr-x···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/ | 4 | drwxr-xr-x···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/ |
5 | drwxr-xr-x···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/ | 5 | drwxr-xr-x···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/ |
6 | -rw-r--r--···0·root·········(0)·root·········(0)·····1193·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/changelog.Debian.gz | 6 | -rw-r--r--···0·root·········(0)·root·········(0)·····1193·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/changelog.Debian.gz |
7 | -rw-r--r--···0·root·········(0)·root·········(0)·····1895·2025-07-08·16:05:27.000000·./usr/share/doc/python-jupyter-sphinx-doc/copyright | 7 | -rw-r--r--···0·root·········(0)·root·········(0)·····1895·2025-07-08·16:05:27.000000·./usr/share/doc/python-jupyter-sphinx-doc/copyright |
8 | drwxr-xr-x···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/ | 8 | drwxr-xr-x···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/ |
9 | drwxr-xr-x···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_downloads/ | 9 | drwxr-xr-x···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_downloads/ |
10 | drwxr-xr-x···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_downloads/c9c5b1fddb7b0d4d08fa326f37fb6c3a/ | 10 | drwxr-xr-x···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_downloads/c9c5b1fddb7b0d4d08fa326f37fb6c3a/ |
11 | -rw-r--r--···0·root·········(0)·root·········(0)····33 | 11 | -rw-r--r--···0·root·········(0)·root·········(0)····33426·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_downloads/c9c5b1fddb7b0d4d08fa326f37fb6c3a/index.ipynb.gz |
12 | drwxr-xr-x···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_images/ | 12 | drwxr-xr-x···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_images/ |
13 | -rw-r--r--···0·root·········(0)·root·········(0)····30141·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_images/index_3_0.png | 13 | -rw-r--r--···0·root·········(0)·root·········(0)····30141·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_images/index_3_0.png |
14 | drwxr-xr-x···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_sources/ | 14 | drwxr-xr-x···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_sources/ |
15 | -rw-r--r--···0·root·········(0)·root·········(0)····13391·2023-12-28·12:15:12.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_sources/index.rst.txt | 15 | -rw-r--r--···0·root·········(0)·root·········(0)····13391·2023-12-28·12:15:12.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_sources/index.rst.txt |
16 | drwxr-xr-x···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_static/ | 16 | drwxr-xr-x···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_static/ |
17 | -rw-r--r--···0·root·········(0)·root·········(0)····11143·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_static/alabaster.css | 17 | -rw-r--r--···0·root·········(0)·root·········(0)····11143·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_static/alabaster.css |
18 | -rw-r--r--···0·root·········(0)·root·········(0)····14817·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_static/basic.css | 18 | -rw-r--r--···0·root·········(0)·root·········(0)····14817·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_static/basic.css |
Offset 28, 15 lines modified | Offset 28, 15 lines modified | ||
28 | -rw-r--r--···0·root·········(0)·root·········(0)······749·2023-12-28·12:15:12.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_static/thebelab.css | 28 | -rw-r--r--···0·root·········(0)·root·········(0)······749·2023-12-28·12:15:12.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_static/thebelab.css |
29 | -rw-r--r--···0·root·········(0)·root·········(0)·····3178·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/genindex.html | 29 | -rw-r--r--···0·root·········(0)·root·········(0)·····3178·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/genindex.html |
30 | -rw-r--r--···0·root·········(0)·root·········(0)····57164·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/index.html | 30 | -rw-r--r--···0·root·········(0)·root·········(0)····57164·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/index.html |
31 | -rw-r--r--···0·root·········(0)·root·········(0)······256·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/objects.inv | 31 | -rw-r--r--···0·root·········(0)·root·········(0)······256·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/objects.inv |
32 | -rw-r--r--···0·root·········(0)·root·········(0)·····3497·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/search.html | 32 | -rw-r--r--···0·root·········(0)·root·········(0)·····3497·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/search.html |
33 | -rw-r--r--···0·root·········(0)·root·········(0)·····6762·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/searchindex.js | 33 | -rw-r--r--···0·root·········(0)·root·········(0)·····6762·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/searchindex.js |
34 | drwxr-xr-x···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/jupyter_execute/ | 34 | drwxr-xr-x···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/jupyter_execute/ |
35 | -rw-r--r--···0·root·········(0)·root·········(0)····33 | 35 | -rw-r--r--···0·root·········(0)·root·········(0)····33426·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/jupyter_execute/index.ipynb.gz |
36 | -rw-r--r--···0·root·········(0)·root·········(0)·····1298·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/jupyter_execute/index.py | 36 | -rw-r--r--···0·root·········(0)·root·········(0)·····1298·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/jupyter_execute/index.py |
37 | -rw-r--r--···0·root·········(0)·root·········(0)····30141·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/jupyter_execute/index_3_0.png | 37 | -rw-r--r--···0·root·········(0)·root·········(0)····30141·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/jupyter_execute/index_3_0.png |
38 | drwxr-xr-x···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc-base/ | 38 | drwxr-xr-x···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc-base/ |
39 | -rw-r--r--···0·root·········(0)·root·········(0)······334·2025-07-08·16:05:27.000000·./usr/share/doc-base/python-jupyter-sphinx-doc.python-jupyter-sphinx-doc | 39 | -rw-r--r--···0·root·········(0)·root·········(0)······334·2025-07-08·16:05:27.000000·./usr/share/doc-base/python-jupyter-sphinx-doc.python-jupyter-sphinx-doc |
40 | lrwxrwxrwx···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_static/doctools.js·->·../../../../javascript/sphinxdoc/1.0/doctools.js | 40 | lrwxrwxrwx···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_static/doctools.js·->·../../../../javascript/sphinxdoc/1.0/doctools.js |
41 | lrwxrwxrwx···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_static/language_data.js·->·../../../../javascript/sphinxdoc/1.0/language_data.js | 41 | lrwxrwxrwx···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_static/language_data.js·->·../../../../javascript/sphinxdoc/1.0/language_data.js |
42 | lrwxrwxrwx···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_static/searchtools.js·->·../../../../javascript/sphinxdoc/1.0/searchtools.js | 42 | lrwxrwxrwx···0·root·········(0)·root·········(0)········0·2025-07-13·12:44:00.000000·./usr/share/doc/python-jupyter-sphinx-doc/html/_static/searchtools.js·->·../../../../javascript/sphinxdoc/1.0/searchtools.js |
Offset 1, 19 lines modified | Offset 1, 19 lines modified | ||
1 | { | 1 | { |
2 | ····"cells":·[ | 2 | ····"cells":·[ |
3 | ········{ | 3 | ········{ |
4 | ············"cell_type":·"code", | 4 | ············"cell_type":·"code", |
5 | ············"execution_count":·1, | 5 | ············"execution_count":·1, |
6 | ············"id":·" | 6 | ············"id":·"7c106c3a", |
7 | ············"metadata":·{ | 7 | ············"metadata":·{ |
8 | ················"execution":·{ | 8 | ················"execution":·{ |
9 | ····················"iopub.execute_input":·"202 | 9 | ····················"iopub.execute_input":·"2026-08-31T18:23:24.627371Z", |
10 | ····················"iopub.status.busy":·"202 | 10 | ····················"iopub.status.busy":·"2026-08-31T18:23:24.626943Z", |
11 | ····················"iopub.status.idle":·"202 | 11 | ····················"iopub.status.idle":·"2026-08-31T18:23:24.641318Z", |
12 | ····················"shell.execute_reply":·"202 | 12 | ····················"shell.execute_reply":·"2026-08-31T18:23:24.635558Z" |
13 | ················} | 13 | ················} |
14 | ············}, | 14 | ············}, |
15 | ············"outputs":·[ | 15 | ············"outputs":·[ |
16 | ················{ | 16 | ················{ |
17 | ····················"name":·"stdout", | 17 | ····················"name":·"stdout", |
18 | ····················"output_type":·"stream", | 18 | ····················"output_type":·"stream", |
19 | ····················"text":·[ | 19 | ····················"text":·[ |
Offset 25, 21 lines modified | Offset 25, 21 lines modified | ||
25 | ················"name·=·'world'\n", | 25 | ················"name·=·'world'\n", |
26 | ················"print('hello·'·+·name·+·'!')" | 26 | ················"print('hello·'·+·name·+·'!')" |
27 | ············] | 27 | ············] |
28 | ········}, | 28 | ········}, |
29 | ········{ | 29 | ········{ |
30 | ············"cell_type":·"code", | 30 | ············"cell_type":·"code", |
31 | ············"execution_count":·2, | 31 | ············"execution_count":·2, |
32 | ············"id":·" | 32 | ············"id":·"4f101e13", |
33 | ············"metadata":·{ | 33 | ············"metadata":·{ |
34 | ················"execution":·{ | 34 | ················"execution":·{ |
35 | ····················"iopub.execute_input":·"202 | 35 | ····················"iopub.execute_input":·"2026-08-31T18:23:24.655238Z", |
36 | ····················"iopub.status.busy":·"202 | 36 | ····················"iopub.status.busy":·"2026-08-31T18:23:24.654877Z", |
37 | ····················"iopub.status.idle":·"202 | 37 | ····················"iopub.status.idle":·"2026-08-31T18:23:24.661153Z", |
38 | ····················"shell.execute_reply":·"202 | 38 | ····················"shell.execute_reply":·"2026-08-31T18:23:24.658581Z" |
39 | ················} | 39 | ················} |
40 | ············}, | 40 | ············}, |
41 | ············"outputs":·[ | 41 | ············"outputs":·[ |
42 | ················{ | 42 | ················{ |
43 | ····················"name":·"stdout", | 43 | ····················"name":·"stdout", |
44 | ····················"output_type":·"stream", | 44 | ····················"output_type":·"stream", |
45 | ····················"text":·[ | 45 | ····················"text":·[ |
Offset 51, 21 lines modified | Offset 51, 21 lines modified | ||
51 | ················"a·=·1\n", | 51 | ················"a·=·1\n", |
52 | ················"print('first·cell:·a·=·{}'.format(a))" | 52 | ················"print('first·cell:·a·=·{}'.format(a))" |
53 | ············] | 53 | ············] |
54 | ········}, | 54 | ········}, |
55 | ········{ | 55 | ········{ |
56 | ············"cell_type":·"code", | 56 | ············"cell_type":·"code", |
57 | ············"execution_count":·3, | 57 | ············"execution_count":·3, |
58 | ············"id":·" | 58 | ············"id":·"cf4a9994", |
59 | ············"metadata":·{ | 59 | ············"metadata":·{ |
60 | ················"execution":·{ | 60 | ················"execution":·{ |
61 | ····················"iopub.execute_input":·"202 | 61 | ····················"iopub.execute_input":·"2026-08-31T18:23:24.665642Z", |
62 | ····················"iopub.status.busy":·"202 | 62 | ····················"iopub.status.busy":·"2026-08-31T18:23:24.665231Z", |
63 | ····················"iopub.status.idle":·"202 | 63 | ····················"iopub.status.idle":·"2026-08-31T18:23:24.674495Z", |
64 | ····················"shell.execute_reply":·"202 | 64 | ····················"shell.execute_reply":·"2026-08-31T18:23:24.673696Z" |
65 | ················} | 65 | ················} |
66 | ············}, | 66 | ············}, |
67 | ············"outputs":·[ | 67 | ············"outputs":·[ |
68 | ················{ | 68 | ················{ |
69 | ····················"name":·"stdout", | 69 | ····················"name":·"stdout", |
70 | ····················"output_type":·"stream", | 70 | ····················"output_type":·"stream", |
71 | ····················"text":·[ | 71 | ····················"text":·[ |
Offset 77, 21 lines modified | Offset 77, 21 lines modified | ||
77 | ················"a·+=·1\n", | 77 | ················"a·+=·1\n", |
78 | ················"print('second·cell:·a·=·{}'.format(a))" | 78 | ················"print('second·cell:·a·=·{}'.format(a))" |
79 | ············] | 79 | ············] |
80 | ········}, | 80 | ········}, |
81 | ········{ | 81 | ········{ |
82 | ············"cell_type":·"code", | 82 | ············"cell_type":·"code", |
83 | ············"execution_count":·4, | 83 | ············"execution_count":·4, |
84 | ············"id":·" | 84 | ············"id":·"48f8fbd8", |
85 | ············"metadata":·{ | 85 | ············"metadata":·{ |
86 | ················"execution":·{ | 86 | ················"execution":·{ |
87 | ····················"iopub.execute_input":·"202 | 87 | ····················"iopub.execute_input":·"2026-08-31T18:23:24.683621Z", |
88 | ····················"iopub.status.busy":·"202 | 88 | ····················"iopub.status.busy":·"2026-08-31T18:23:24.683267Z", |
89 | ····················"iopub.status.idle":·"202 | 89 | ····················"iopub.status.idle":·"2026-08-31T18:23:32.629694Z", |
90 | ····················"shell.execute_reply":·"202 | 90 | ····················"shell.execute_reply":·"2026-08-31T18:23:32.624239Z" |
91 | ················} | 91 | ················} |
92 | ············}, | 92 | ············}, |
93 | ············"outputs":·[ | 93 | ············"outputs":·[ |
94 | ················{ | 94 | ················{ |
95 | ····················"data":·{ | 95 | ····················"data":·{ |
96 | ························"image/png":·"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", | 96 | ························"image/png":·"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", |
97 | ························"text/plain":·[ | 97 | ························"text/plain":·[ |
Offset 117, 21 lines modified | Offset 117, 21 lines modified | ||
117 | ················"pyplot.plot(x,·np.cos(x))\n", | 117 | ················"pyplot.plot(x,·np.cos(x))\n", |
118 | ················"pyplot.grid()" | 118 | ················"pyplot.grid()" |
119 | ············] | 119 | ············] |
120 | ········}, | 120 | ········}, |
121 | ········{ | 121 | ········{ |
122 | ············"cell_type":·"code", | 122 | ············"cell_type":·"code", |
123 | ············"execution_count":·5, | 123 | ············"execution_count":·5, |
124 | ············"id":·" | 124 | ············"id":·"caa852f8", |
125 | ············"metadata":·{ | 125 | ············"metadata":·{ |
126 | ················"execution":·{ | 126 | ················"execution":·{ |
127 | ····················"iopub.execute_input":·"202 | 127 | ····················"iopub.execute_input":·"2026-08-31T18:23:32.634148Z", |
128 | ····················"iopub.status.busy":·"202 | 128 | ····················"iopub.status.busy":·"2026-08-31T18:23:32.633507Z", |
129 | ····················"iopub.status.idle":·"202 | 129 | ····················"iopub.status.idle":·"2026-08-31T18:23:32.650013Z", |
130 | ····················"shell.execute_reply":·"202 | 130 | ····················"shell.execute_reply":·"2026-08-31T18:23:32.648767Z" |
131 | ················} | 131 | ················} |
132 | ············}, | 132 | ············}, |
133 | ············"outputs":·[ | 133 | ············"outputs":·[ |
134 | ················{ | 134 | ················{ |
135 | ····················"data":·{ | 135 | ····················"data":·{ |
136 | ························"text/latex":·[ | 136 | ························"text/latex":·[ |
137 | ····························"\\int_{-\\infty}^\\infty·e^{-x\u00b2}dx·=·\\sqrt{\\pi}" | 137 | ····························"\\int_{-\\infty}^\\infty·e^{-x\u00b2}dx·=·\\sqrt{\\pi}" |
Offset 149, 42 lines modified | Offset 149, 42 lines modified | ||
149 | ················"from·IPython.display·import·Latex\n", | 149 | ················"from·IPython.display·import·Latex\n", |
150 | ················"Latex('\\\\int_{-\\\\infty}^\\\\infty·e^{-x\u00b2}dx·=·\\\\sqrt{\\\\pi}')" | 150 | ················"Latex('\\\\int_{-\\\\infty}^\\\\infty·e^{-x\u00b2}dx·=·\\\\sqrt{\\\\pi}')" |
151 | ············] | 151 | ············] |
152 | ········}, | 152 | ········}, |
153 | ········{ | 153 | ········{ |
154 | ············"cell_type":·"code", | 154 | ············"cell_type":·"code", |
155 | ············"execution_count":·6, | 155 | ············"execution_count":·6, |
156 | ············"id":·" | 156 | ············"id":·"daeed751", |
157 | ············"metadata":·{ | 157 | ············"metadata":·{ |
158 | ················"execution":·{ | 158 | ················"execution":·{ |
159 | ····················"iopub.execute_input":·"202 | 159 | ····················"iopub.execute_input":·"2026-08-31T18:23:32.657789Z", |
160 | ····················"iopub.status.busy":·"202 | 160 | ····················"iopub.status.busy":·"2026-08-31T18:23:32.656033Z", |
161 | ····················"iopub.status.idle":·"202 | 161 | ····················"iopub.status.idle":·"2026-08-31T18:23:32.936418Z", |
162 | ····················"shell.execute_reply":·"202 | 162 | ····················"shell.execute_reply":·"2026-08-31T18:23:32.935440Z" |
163 | ················} | 163 | ················} |
164 | ············}, | 164 | ············}, |
165 | ············"outputs":·[ | 165 | ············"outputs":·[ |
166 | ················{ | 166 | ················{ |
167 | ····················"data":·{ | 167 | ····················"data":·{ |
Max diff block lines reached; 22756/69655 bytes (32.67%) of diff not shown. |
Offset 186, 17 lines modified | Offset 186, 17 lines modified | ||
186 | </pre></div> | 186 | </pre></div> |
187 | </div> | 187 | </div> |
188 | </div> | 188 | </div> |
189 | </div></div> | 189 | </div></div> |
190 | <div·class="cell_output·docutils·container"> | 190 | <div·class="cell_output·docutils·container"> |
191 | <div·class="thebelab-output"·data-output="true"><div·class="docutils·container"> | 191 | <div·class="thebelab-output"·data-output="true"><div·class="docutils·container"> |
192 | <script·type="application/vnd.jupyter.widget-view+json"> | 192 | <script·type="application/vnd.jupyter.widget-view+json"> |
193 | {"version_major":·2,·"version_minor":·0,·"model_id":·" | 193 | {"version_major":·2,·"version_minor":·0,·"model_id":·"253b96d53d594a4b884ecbcbf85daf71"} |
194 | </script><script·type="application/vnd.jupyter.widget-view+json"> | 194 | </script><script·type="application/vnd.jupyter.widget-view+json"> |
195 | {"version_major":·2,·"version_minor":·0,·"model_id":·" | 195 | {"version_major":·2,·"version_minor":·0,·"model_id":·"753e432304ed47c582f744644fbef819"} |
196 | </script></div> | 196 | </script></div> |
197 | </div></div> | 197 | </div></div> |
198 | </div> | 198 | </div> |
199 | <p>It·is·also·possible·to·include·code·from·a·regular·file·by·passing·the·filename·as·argument | 199 | <p>It·is·also·possible·to·include·code·from·a·regular·file·by·passing·the·filename·as·argument |
200 | to·<code·class="docutils·literal·notranslate"><span·class="pre">jupyter-execute</span></code>:</p> | 200 | to·<code·class="docutils·literal·notranslate"><span·class="pre">jupyter-execute</span></code>:</p> |
201 | <div·class="highlight-default·notranslate"><div·class="highlight"><pre><span></span><span·class="o">..</span>·<span·class="n">jupyter</span><span·class="o">-</span><span·class="n">execute</span><span·class="p">::</span>·<span·class="n">some_code</span><span·class="o">.</span><span·class="n">py</span> | 201 | <div·class="highlight-default·notranslate"><div·class="highlight"><pre><span></span><span·class="o">..</span>·<span·class="n">jupyter</span><span·class="o">-</span><span·class="n">execute</span><span·class="p">::</span>·<span·class="n">some_code</span><span·class="o">.</span><span·class="n">py</span> |
202 | </pre></div> | 202 | </pre></div> |
Offset 667, 15 lines modified | Offset 667, 15 lines modified | ||
667 | <script·type="text/x-thebe-config"> | 667 | <script·type="text/x-thebe-config"> |
668 | {"binderOptions":·{"repo":·"jupyter/jupyter-sphinx"},·"predefinedOutput":·true,·"requestKernel":·true} | 668 | {"binderOptions":·{"repo":·"jupyter/jupyter-sphinx"},·"predefinedOutput":·true,·"requestKernel":·true} |
669 | </script> | 669 | </script> |
670 | <script·type="text/javascript"·src="https://unpkg.com/thebelab@^0.4.0"></script> | 670 | <script·type="text/javascript"·src="https://unpkg.com/thebelab@^0.4.0"></script> |
671 | <script·type="application/vnd.jupyter.widget-state+json"> | 671 | <script·type="application/vnd.jupyter.widget-state+json"> |
672 | {"state":·{" | 672 | {"state":·{"19fa325633e54906920118edf6c3c2f2":·{"model_name":·"LayoutModel",·"model_module":·"@jupyter-widgets/base",·"model_module_version":·"2.0.0",·"state":·{"_model_module":·"@jupyter-widgets/base",·"_model_module_version":·"2.0.0",·"_model_name":·"LayoutModel",·"[·...·truncated·by·diffoscope;·len:·4941,·SHA:·c226f78d07147638d4ea703ff5b641afa18a46959cdb48d06ff283ae468e7968·...·]",·"value"]}}},·"version_major":·2,·"version_minor":·0} |
673 | </script> | 673 | </script> |
674 | ··········</div> | 674 | ··········</div> |
675 | ·········· | 675 | ·········· |
676 | ········</div> | 676 | ········</div> |
Offset 1, 19 lines modified | Offset 1, 19 lines modified | ||
1 | { | 1 | { |
2 | ····"cells":·[ | 2 | ····"cells":·[ |
3 | ········{ | 3 | ········{ |
4 | ············"cell_type":·"code", | 4 | ············"cell_type":·"code", |
5 | ············"execution_count":·1, | 5 | ············"execution_count":·1, |
6 | ············"id":·" | 6 | ············"id":·"7c106c3a", |
7 | ············"metadata":·{ | 7 | ············"metadata":·{ |
8 | ················"execution":·{ | 8 | ················"execution":·{ |
9 | ····················"iopub.execute_input":·"202 | 9 | ····················"iopub.execute_input":·"2026-08-31T18:23:24.627371Z", |
10 | ····················"iopub.status.busy":·"202 | 10 | ····················"iopub.status.busy":·"2026-08-31T18:23:24.626943Z", |
11 | ····················"iopub.status.idle":·"202 | 11 | ····················"iopub.status.idle":·"2026-08-31T18:23:24.641318Z", |
12 | ····················"shell.execute_reply":·"202 | 12 | ····················"shell.execute_reply":·"2026-08-31T18:23:24.635558Z" |
13 | ················} | 13 | ················} |
14 | ············}, | 14 | ············}, |
15 | ············"outputs":·[ | 15 | ············"outputs":·[ |
16 | ················{ | 16 | ················{ |
17 | ····················"name":·"stdout", | 17 | ····················"name":·"stdout", |
18 | ····················"output_type":·"stream", | 18 | ····················"output_type":·"stream", |
19 | ····················"text":·[ | 19 | ····················"text":·[ |
Offset 25, 21 lines modified | Offset 25, 21 lines modified | ||
25 | ················"name·=·'world'\n", | 25 | ················"name·=·'world'\n", |
26 | ················"print('hello·'·+·name·+·'!')" | 26 | ················"print('hello·'·+·name·+·'!')" |
27 | ············] | 27 | ············] |
28 | ········}, | 28 | ········}, |
29 | ········{ | 29 | ········{ |
30 | ············"cell_type":·"code", | 30 | ············"cell_type":·"code", |
31 | ············"execution_count":·2, | 31 | ············"execution_count":·2, |
32 | ············"id":·" | 32 | ············"id":·"4f101e13", |
33 | ············"metadata":·{ | 33 | ············"metadata":·{ |
34 | ················"execution":·{ | 34 | ················"execution":·{ |
35 | ····················"iopub.execute_input":·"202 | 35 | ····················"iopub.execute_input":·"2026-08-31T18:23:24.655238Z", |
36 | ····················"iopub.status.busy":·"202 | 36 | ····················"iopub.status.busy":·"2026-08-31T18:23:24.654877Z", |
37 | ····················"iopub.status.idle":·"202 | 37 | ····················"iopub.status.idle":·"2026-08-31T18:23:24.661153Z", |
38 | ····················"shell.execute_reply":·"202 | 38 | ····················"shell.execute_reply":·"2026-08-31T18:23:24.658581Z" |
39 | ················} | 39 | ················} |
40 | ············}, | 40 | ············}, |
41 | ············"outputs":·[ | 41 | ············"outputs":·[ |
42 | ················{ | 42 | ················{ |
43 | ····················"name":·"stdout", | 43 | ····················"name":·"stdout", |
44 | ····················"output_type":·"stream", | 44 | ····················"output_type":·"stream", |
45 | ····················"text":·[ | 45 | ····················"text":·[ |
Offset 51, 21 lines modified | Offset 51, 21 lines modified | ||
51 | ················"a·=·1\n", | 51 | ················"a·=·1\n", |
52 | ················"print('first·cell:·a·=·{}'.format(a))" | 52 | ················"print('first·cell:·a·=·{}'.format(a))" |
53 | ············] | 53 | ············] |
54 | ········}, | 54 | ········}, |
55 | ········{ | 55 | ········{ |
56 | ············"cell_type":·"code", | 56 | ············"cell_type":·"code", |
57 | ············"execution_count":·3, | 57 | ············"execution_count":·3, |
58 | ············"id":·" | 58 | ············"id":·"cf4a9994", |
59 | ············"metadata":·{ | 59 | ············"metadata":·{ |
60 | ················"execution":·{ | 60 | ················"execution":·{ |
61 | ····················"iopub.execute_input":·"202 | 61 | ····················"iopub.execute_input":·"2026-08-31T18:23:24.665642Z", |
62 | ····················"iopub.status.busy":·"202 | 62 | ····················"iopub.status.busy":·"2026-08-31T18:23:24.665231Z", |
63 | ····················"iopub.status.idle":·"202 | 63 | ····················"iopub.status.idle":·"2026-08-31T18:23:24.674495Z", |
64 | ····················"shell.execute_reply":·"202 | 64 | ····················"shell.execute_reply":·"2026-08-31T18:23:24.673696Z" |
65 | ················} | 65 | ················} |
66 | ············}, | 66 | ············}, |
67 | ············"outputs":·[ | 67 | ············"outputs":·[ |
68 | ················{ | 68 | ················{ |
69 | ····················"name":·"stdout", | 69 | ····················"name":·"stdout", |
70 | ····················"output_type":·"stream", | 70 | ····················"output_type":·"stream", |
71 | ····················"text":·[ | 71 | ····················"text":·[ |
Offset 77, 21 lines modified | Offset 77, 21 lines modified | ||
77 | ················"a·+=·1\n", | 77 | ················"a·+=·1\n", |
78 | ················"print('second·cell:·a·=·{}'.format(a))" | 78 | ················"print('second·cell:·a·=·{}'.format(a))" |
79 | ············] | 79 | ············] |
80 | ········}, | 80 | ········}, |
81 | ········{ | 81 | ········{ |
82 | ············"cell_type":·"code", | 82 | ············"cell_type":·"code", |
83 | ············"execution_count":·4, | 83 | ············"execution_count":·4, |
84 | ············"id":·" | 84 | ············"id":·"48f8fbd8", |
85 | ············"metadata":·{ | 85 | ············"metadata":·{ |
86 | ················"execution":·{ | 86 | ················"execution":·{ |
87 | ····················"iopub.execute_input":·"202 | 87 | ····················"iopub.execute_input":·"2026-08-31T18:23:24.683621Z", |
88 | ····················"iopub.status.busy":·"202 | 88 | ····················"iopub.status.busy":·"2026-08-31T18:23:24.683267Z", |
89 | ····················"iopub.status.idle":·"202 | 89 | ····················"iopub.status.idle":·"2026-08-31T18:23:32.629694Z", |
90 | ····················"shell.execute_reply":·"202 | 90 | ····················"shell.execute_reply":·"2026-08-31T18:23:32.624239Z" |
91 | ················} | 91 | ················} |
92 | ············}, | 92 | ············}, |
93 | ············"outputs":·[ | 93 | ············"outputs":·[ |
94 | ················{ | 94 | ················{ |
95 | ····················"data":·{ | 95 | ····················"data":·{ |
96 | ························"image/png":·"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", | 96 | ························"image/png":·"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", |
97 | ························"text/plain":·[ | 97 | ························"text/plain":·[ |
Offset 117, 21 lines modified | Offset 117, 21 lines modified | ||
117 | ················"pyplot.plot(x,·np.cos(x))\n", | 117 | ················"pyplot.plot(x,·np.cos(x))\n", |
118 | ················"pyplot.grid()" | 118 | ················"pyplot.grid()" |
119 | ············] | 119 | ············] |
120 | ········}, | 120 | ········}, |
121 | ········{ | 121 | ········{ |
122 | ············"cell_type":·"code", | 122 | ············"cell_type":·"code", |
123 | ············"execution_count":·5, | 123 | ············"execution_count":·5, |
124 | ············"id":·" | 124 | ············"id":·"caa852f8", |
125 | ············"metadata":·{ | 125 | ············"metadata":·{ |
126 | ················"execution":·{ | 126 | ················"execution":·{ |
127 | ····················"iopub.execute_input":·"202 | 127 | ····················"iopub.execute_input":·"2026-08-31T18:23:32.634148Z", |
128 | ····················"iopub.status.busy":·"202 | 128 | ····················"iopub.status.busy":·"2026-08-31T18:23:32.633507Z", |
129 | ····················"iopub.status.idle":·"202 | 129 | ····················"iopub.status.idle":·"2026-08-31T18:23:32.650013Z", |
130 | ····················"shell.execute_reply":·"202 | 130 | ····················"shell.execute_reply":·"2026-08-31T18:23:32.648767Z" |
131 | ················} | 131 | ················} |
132 | ············}, | 132 | ············}, |
133 | ············"outputs":·[ | 133 | ············"outputs":·[ |
134 | ················{ | 134 | ················{ |
135 | ····················"data":·{ | 135 | ····················"data":·{ |
136 | ························"text/latex":·[ | 136 | ························"text/latex":·[ |
137 | ····························"\\int_{-\\infty}^\\infty·e^{-x\u00b2}dx·=·\\sqrt{\\pi}" | 137 | ····························"\\int_{-\\infty}^\\infty·e^{-x\u00b2}dx·=·\\sqrt{\\pi}" |
Offset 149, 42 lines modified | Offset 149, 42 lines modified | ||
149 | ················"from·IPython.display·import·Latex\n", | 149 | ················"from·IPython.display·import·Latex\n", |
150 | ················"Latex('\\\\int_{-\\\\infty}^\\\\infty·e^{-x\u00b2}dx·=·\\\\sqrt{\\\\pi}')" | 150 | ················"Latex('\\\\int_{-\\\\infty}^\\\\infty·e^{-x\u00b2}dx·=·\\\\sqrt{\\\\pi}')" |
151 | ············] | 151 | ············] |
152 | ········}, | 152 | ········}, |
153 | ········{ | 153 | ········{ |
154 | ············"cell_type":·"code", | 154 | ············"cell_type":·"code", |
155 | ············"execution_count":·6, | 155 | ············"execution_count":·6, |
156 | ············"id":·" | 156 | ············"id":·"daeed751", |
157 | ············"metadata":·{ | 157 | ············"metadata":·{ |
158 | ················"execution":·{ | 158 | ················"execution":·{ |
159 | ····················"iopub.execute_input":·"202 | 159 | ····················"iopub.execute_input":·"2026-08-31T18:23:32.657789Z", |
160 | ····················"iopub.status.busy":·"202 | 160 | ····················"iopub.status.busy":·"2026-08-31T18:23:32.656033Z", |
161 | ····················"iopub.status.idle":·"202 | 161 | ····················"iopub.status.idle":·"2026-08-31T18:23:32.936418Z", |
162 | ····················"shell.execute_reply":·"202 | 162 | ····················"shell.execute_reply":·"2026-08-31T18:23:32.935440Z" |
163 | ················} | 163 | ················} |
164 | ············}, | 164 | ············}, |
165 | ············"outputs":·[ | 165 | ············"outputs":·[ |
166 | ················{ | 166 | ················{ |
167 | ····················"data":·{ | 167 | ····················"data":·{ |
Max diff block lines reached; 22756/69655 bytes (32.67%) of diff not shown. |