Key | Value |
---|---|
FileSize | 2119456 |
MD5 | 78DD761BCC40276168A3C2A6C87B2F0A |
PackageDescription | documentation for the pydata-sphinx-theme Python library Originally developed for the pandas docs, work is being done to make this more generic and more easily extensible to suit the needs of the different projects; noteworthy project using this theme: . * Pandas: https://pandas.pydata.org/docs/ * NumPy: https://numpy.org/devdocs/ * Bokeh: https://docs.bokeh.org/en/dev/ * JupyterHub and Binder: https://docs.mybinder.org/, http://z2jh.jupyter.org/en/latest/, https://repo2docker.readthedocs.io/en/latest/, https://jupyterhub-team-compass.readthedocs.io/en/latest/ * Jupyter Book beta version uses an extension of this theme: https://beta.jupyterbook.org * Fairlearn: https://fairlearn.github.io/master/quickstart.html . This package provides documentation for pydata-sphinx-theme |
PackageMaintainer | Sandro Tosi <morph@debian.org> |
PackageName | python-pydata-sphinx-theme-doc |
PackageSection | doc |
PackageVersion | 0.5.0-2 |
SHA-1 | 6A773E5F06E77E3236E387E7562CD42C5D845BB6 |
SHA-256 | F2B4A1BAC432EC270B7F885275ED915A6170857D4C8DD5523AC2457F8F7D62CB |
hashlookup:children-total | 84 |
hashlookup:trust | 50 |
The searched file hash includes 84 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
CRC32 | 15A2C3A3 |
FileName | snap-hashlookup-import/app/node_modules/@fortawesome/fontawesome-free/css/all.min.css |
FileSize | 58578 |
MD5 | 76CB46C10B6C0293433B371BAE2414B2 |
OpSystemCode | 362 |
ProductCode | 233691 |
RDS:package_id | 298479 |
SHA-1 | 0038DC97C79451578B7BD48AF60BA62282B4082B |
SHA-256 | 876D023D9D10C97941B80C3B03E2A5B94631FF7A4AF9CEE5604A6A2D39718D84 |
SHA-512 | 2FB31670AEC534F73036A9CB759ABCEA54C760B750A996B3E58700804FB97271A6970F094F4DD0076FA8C4BD74D14781E9197364B531086492E3FFBE98D65DC7 |
SSDEEP | 768:FEC319PiyLNq4/xMoAUHJ2kEBR/MMQyYJrXjBrth5Qzl:FEkPxLE4/6mHQpBCfdj9tMB |
SpecialCode | |
TLSH | T1B643FCB8E54C01C9A731C44BFF82B2BC61B6F73DE5914D95F00E691C2AD26A811C5FBA |
db | nsrl_android |
insert-timestamp | 1727033976.0626945 |
mimetype | text/plain |
source | snap:mccSwd6m1QyhEnWocQWs1LFkp814K84k_4 |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/share/doc/packages/jupyter/html/_static/basic.css |
FileSize | 13647 |
MD5 | 3CD00314E261E2030AB104B575D6CCD4 |
SHA-1 | 046FCA121504319B4D6995DDA6E6FA442DAB1FF6 |
SHA-256 | 72965A4D1F9EB6C4B1FA9B123E7C3E7CAE423ACFE9265E33DF7EA55650734A0F |
SSDEEP | 384:kd4owIES4yJkf+ED4FAZrkQvHoQWZ42x+/AciFQ26tKQM7to:k9A4FAR/otZ42oAFQjKM |
TLSH | T1275230155EB31C11EA8AC267BAFEE621F25D40834A5ED8797E487348CF4578482AFF4C |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-pydata-sphinx-theme-doc/html/_sources/index.rst.txt |
FileSize | 911 |
MD5 | 8E5D80286AF3739B833C70505F72A1CE |
SHA-1 | 05068399F2D15B8AE378AB2FAA7B9B8C43CA5E2D |
SHA-256 | C8DB39FC961A7F1DD90060471175250492A503544C8FCAF555336EC786CB48B5 |
SSDEEP | 24:G2OP2L7yuULG+wcqRMfY3SN8+JLPv+J/7oY+RMcagd6T7:GLuSu46TRMfYn+JL3+J/8YuMCi |
TLSH | T1F51163FB936707A3232009C530B895BCD387BF1DB8E20009E00DD068578631959BEF88 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-pydata-sphinx-theme-doc/html/_sources/user_guide/configuring.rst.txt |
FileSize | 8560 |
MD5 | EDEB5DCE9A631C20C98B79387FBECC3B |
SHA-1 | 0868D8820975946A9F9FF3102C2C2BDA5DF2D08B |
SHA-256 | 5EFA0CB0B2B51A031CD42245A7CA7A613DAB9E29DC33904463CDA397DF240A2C |
SSDEEP | 192:06S7A+CzKz1JhHqCDOsmZplWBl69kirmv/AFNjU59oX1H/n:0tMZzKPRqCDOsmblWBM+YmvoFtO9A1H/ |
TLSH | T12902935B90596E73414308EAA6CD10E1F634D27FB729A848B87D628C1FB5F2591B3BCC |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-pydata-sphinx-theme-doc/html/demo/generated/pandas.DataFrame.drop.html |
FileSize | 21832 |
MD5 | 8300EF55797CE80B16B6299391DEFD12 |
SHA-1 | 0A7CE44C5E0D17659522CAE3BA55269FE160D332 |
SHA-256 | 5540F33E54CA35E59FDA8D2DCCB8F625DAA1B7AD97EF47E0A6D1FC17A5CF8F54 |
SSDEEP | 192:GO7jMuATOZoyuUDrG9FJuZj5/14H+hpr25k9Uyn3vBeSFpxn/xkVxhfvKh/wvLGg:GO7jsTFyuUDy9FJuIkFpBYv5DMK |
TLSH | T129A240A1E9F791330177C4C352BE1B25B5E2542AF8861841B3FD97AC07DDE42781BA2E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-pydata-sphinx-theme-doc/html/_sources/user_guide/index.rst.txt |
FileSize | 106 |
MD5 | 71C9DE1648DBB80AE0193FDF4A932822 |
SHA-1 | 0B2FD7ACD5A90AA370FFFBADCE98358B08F270DD |
SHA-256 | E58B701BACD4317B420BBCE998D1524749D9E0858B208B100AA145CB6B8EDB8A |
SSDEEP | 3:1rvA+CShlCtEtn/2ZhHXQ6CdFTIMkI:K+JhItEteZ1XQ6uZ |
TLSH | T13EB0125AE0790CA392290C80007B45F442827798401918C754FD00480CC631E50014EE |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-pydata-sphinx-theme-doc/html/_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2.gz |
FileSize | 79339 |
MD5 | 94F1C8071DE7F782C2A8FB0A89E35807 |
SHA-1 | 0B930E4904CBF866E673595700788D1026DA6C36 |
SHA-256 | 5D356D7171C183A5AD0A84DE8F737717EC99627340FD26ECABBF39391605A148 |
SSDEEP | 1536:JgXevisOzyu5r4HjEIe9jyJFdiTCHnegAZ64RPmF17kkA/XUJk+:JTvissyu5eb0QiORAZ64QrkJ/Xck+ |
TLSH | T10C7302965D5CF958CC3F059B31AA6565112EEF86320A6CEBD87108FCE2F02DC027BD18 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-pydata-sphinx-theme-doc/html/demo/subpages/index.html |
FileSize | 8449 |
MD5 | A1FEC125E072CDA1C93943EEA96449F1 |
SHA-1 | 0D46D1EAEA58B1451D4AE7BCFBEE5BE3F35AE606 |
SHA-256 | 083CD80CB19E9536947166DCDB51BE79CEC9D5093A9A2DC16BE5C5A37AD2449E |
SSDEEP | 96:qGAVDPD7vsDmQ7JnF+jFF/kxI0ifDgpMMf/UTmKQbuGKsa0rr8de0v4sHLJYrWty:jO7jM7JnATOZoyuUDrG9rJYytjtmxJ9z |
TLSH | T18502322218F075BB419389E5A6A93B24FEC39807E6166C12B0FC079D4FD2F869E1771D |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/pydata_sphinx_theme/static/css/index.101715efdecc9b59cb6e1ddfa685c31f.css |
FileSize | 154123 |
MD5 | 1EAD5258410878F40BA0BBEE06F409EA |
SHA-1 | 0E52BD6423A3F75C8347353368D9CC39A10FBD94 |
SHA-256 | 3A5F16EB3C9F79E2787909FE7FD14C7E74312493A3627DFBB9B1AC9C301BAB5D |
SSDEEP | 1536:RPazIR5fq1IOJCzDEBi8eGc3JEY1z/tCj93SYiHENM6HN26ha01QY:paeRFu93SYiHENM6HN26hOY |
TLSH | T16CE3A696F560302DE4A7C659A0D0FEBE562F8241D7225BEBF42777748B892C70963E0C |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-pydata-sphinx-theme-doc/html/_sources/demo/generated/pandas.DataFrame.groupby.rst.txt |
FileSize | 114 |
MD5 | E33C9C459E1C0E6ED120505147710DE7 |
SHA-1 | 10308AA5F98B5E559058E527515BEF97E83280C3 |
SHA-256 | 53657C058322579F76BBCA32A361459722A9E8D1CC15AEA9438918AF09A6E614 |
SSDEEP | 3:QEVhlEsaQVHHYYA6B61EXEKzEJjUsaQVHc:pe2YYEQEJQ28 |
TLSH | T19EB00204102E153ED4F85585E11594DC5957716CFFE20650341C86C8946DBF4757BB5A |