Result for 05812E7495585B995C08E2BDA0A2743FF62351C2

Query result

Key Value
FileNamesnap-hashlookup-import/usr/share/doc/python3-ws4py/html/_static/sphinxdoc.css
FileSize6201
MD5C6E58FA72177ABA4808595D317634EF5
SHA-105812E7495585B995C08E2BDA0A2743FF62351C2
SHA-256616D7D21523EB0C031D95DC4B9B93EBAECE4DE7EBCDF7C1D2566264CC61827BA
SHA-5122474B87516F3D6F7A5F4A20757036991716174644DE9ADC42FE01F8A9BF60F6630D0358EA4839FB68F677635B5DD23CE608369B5293228DDD93621192EBBFED8
SSDEEP96:8Y+a/e2/HbRXLxaVxTr9N6ONuQgRnCwioqV5enSp3YBodC:eah/HbRXLcVxWONupRCwitp6iC
TLSHT14BD1EE14AFA30812A90BC2BAAFFDD660F36960534E4DDE3F7E6973944F0926411BD648
insert-timestamp1712784598.425001
mimetypetext/plain
sourcesnap:yPoSggsDOxtrrKgU7jsAkjUF84ijiaLB_165
hashlookup:parent-total45
hashlookup:trust100

Network graph view

Parents (Total: 45)

The searched file hash is included in 45 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD53E1FF542983B5D7CD5236FCFA61C21D7
PackageArchnoarch
PackageDescriptionSpyder is a Python development environment with advanced editing, interactive testing, debugging and introspection features. It is especially recommended for scientific computing thanks to NumPy (linear algebra), SciPy (signal and image processing), matplotlib (interactive 2D/3D plotting), MayaVi’s mlab (interactive 3D visualization) and -of course- IPython support. Spyder may also be used as a library providing powerful console-related PyQt4 widgets.
PackageMaintainerFedora Project
PackageNamespyder
PackageRelease1.fc24
PackageVersion2.3.9
SHA-100A5F39452D44BA8741EFD53ADADAEED49B964AC
SHA-2569445037EB77B1C87330A19CE39A527713BD99D42EAF4735315F6CC0C80DB19DD
Key Value
FileSize68328
MD5FC19B9FE8C75C7A59441B92CFBEA8F26
PackageDescriptionESO data reduction pipeline documentation for HAWK-I This package contains the HTML documentation and manpages for the data reduction pipeline for the HAWK-I instrument of the Very Large Telescope (VLT) from the European Southern Observatory (ESO).
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamecpl-plugin-hawki-doc
PackageSectiondoc
PackageVersion1.8.18+dfsg-5
SHA-1079C5D8A52209BFB0576A7C07F85137988C2C65D
SHA-2561FE0BABEDC77E2FDEEA9CFA4F8154BE820CDEA7DBCEFFBE0E7E70205EFB34ABA
Key Value
MD5A495D775D17B939CEE7C2D771166DD3D
PackageArchnoarch
PackageDescriptionpython-doit documentation
PackageMaintainerFedora Project
PackageNamepython-doit-doc
PackageRelease4.fc24
PackageVersion0.28.0
SHA-10FD6744DA5446640780C30CC7EC9262F28ED5FD4
SHA-256A9E09DAD47BDD6192D303AEABDAD674FE6A00E5BBA606779565E6AC69FF1683A
Key Value
MD52DF13DD6F81BF3F8EE647795F3D574E1
PackageArchnoarch
PackageDescriptionpython-doit documentation
PackageMaintainerFedora Project
PackageNamepython-doit-doc
PackageRelease4.fc24
PackageVersion0.28.0
SHA-11162D3250004A2D2B0355ADA136C4F940022A91A
SHA-256DED5EFFE95FA712AC340A3E948A5442F857CFE580673B79C3E35D75BEEE6352F
Key Value
MD55AC3AAEC46B90789BCDD0F15EDDB3F13
PackageArchaarch64
PackageDescriptionFityk is a program for nonlinear curve-fitting of analytical functions (especially peak-shaped) to data (usually experimental data). It can also be used for visualization of x-y data only.
PackageMaintainerFedora Project
PackageNamefityk
PackageRelease8.fc24
PackageVersion1.3.0
SHA-11264368BBE5F0088809BEE95B78E1FEEDA534FD3
SHA-25677FE866E601C2CEEC25366B32BCB8E9325CD5F0B2E859A749EB41491235EBF2D
Key Value
FileSize22156
MD5639B63EE787B24233E27C8FC4C07470B
PackageDescriptionData-Driven/Decorated Tests - doc DDT (Data-Driven Tests) allows you to multiply one test case by running it with different test data, and make it appear as multiple test cases. DDT consists of a class decorator ddt (for your TestCase subclass) and two method decorators (for your tests that want to be multiplied). . This package contains the documentation.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-ddt-doc
PackageSectiondoc
PackageVersion1.0.1-1
SHA-1138FB006BA2ECE23AEC2C7A3D66DCBCC928992D4
SHA-256A1AA151DFD0762BD69A9F2D292943E2134B09E0503CB5E85C7B50C878A1B9078
Key Value
MD51940674B3E63A017CEC7ABBA1C01E48F
PackageArchnoarch
PackageDescriptionUser documentation for Theano.
PackageMaintainerFedora Project
PackageNamepython-theano-doc
PackageRelease1.fc24
PackageVersion0.8.2
SHA-115A0CC524DB23FF1E9A5EF32E687E63FE43A704A
SHA-25630BBE880E96910DD45B18AA2312966C2CF2DD1448680D96899586591BE8F828E
Key Value
MD5918C31A5BF259B661CEA950FBCCA2D42
PackageArchnoarch
PackageDescriptionDocumentation files for hl7
PackageMaintainerFedora Project
PackageNamepython-hl7-doc
PackageRelease3.fc24
PackageVersion0.3.3
SHA-118363165E6CE51BC2229D79929BA70EB24E3BFEA
SHA-25603843849FDD1366D5F7C2FE478DCC0C90AD77E5ABC498B0267FCA0C6D77E2358
Key Value
MD5035ABC235B9A3C261F55B0ED8AF91A88
PackageArchnoarch
PackageDescriptionexecnet provides a share-nothing model with channel-send/receive communication for distributing execution across many Python interpreters across version, platform and network barriers. It has a minimal and fast API targetting the following uses: * distribute tasks to (many) local or remote CPUs * write and deploy hybrid multi-process applications * write scripts to administer multiple environments
PackageMaintainerFedora Project
PackageNamepython3-execnet
PackageRelease2.fc24
PackageVersion1.4.1
SHA-11C9B3247A7DF9EBAF735C8877C0B61B02BD2AE0E
SHA-2563D5BC5542AC43BE7733447C973E570749D778E9791941F87E393DB51A6474F86
Key Value
FileSize666530
MD52C8F8FFC06457BE7B582DF5467704AA6
PackageDescriptionPure Python implementation of Qwt - Documentation The qwt package is a pure Python implementation of Qwt C++ library with the following limitations. . The following `Qwt` classes won't be reimplemented in `qwt` because most powerful features already exist in `guiqwt`: * QwtPlotZoomer * QwtCounter * QwtEventPattern * QwtPicker * QwtPlotPicker . QwtClipper is not implemented yet (and it will probably be very difficult or impossible to implement it in pure Python without performance issues). As a consequence, when zooming in a plot curve, the entire curve is still painted (in other words, when working with large amount of data, there is no performance gain when zooming in). . This is the documentation of the package.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-qwt-doc
PackageSectiondoc
PackageVersion0.5.5-1
SHA-12C8969F070F98720CCE49F72492E72BEE7E4F3B0
SHA-256DDDC949990C882960272BB6709810DFFEACACDA5D5325406D038DC2E19F0F07D