Result for 6B2BF6CF2A47AC0D384D06101CC31D3D1E558FF7

Query result

Key Value
FileName./usr/share/doc/gmt/html/_static/copy-button.svg
FileSize369
MD5431F7ACBB2DC89DE09693A35A5270561
SHA-16B2BF6CF2A47AC0D384D06101CC31D3D1E558FF7
SHA-256FE56BE36713863F121A32822EB775A2340D29221299DA8EE14332942C6D42D94
SSDEEP6:tI9mc4slzXdhC/nVQ69ZcjmqZll8R3GmK0F9+vfMuRIx9pNJr:t4BdU/nVQ6Tcjhll8JM0FYvkuqx9pNJr
TLSHT1ADE09254DB0C6F2CAB504510D72CB17512AE61A33B1C2198D95C1031A515589E9BF6E8
hashlookup:parent-total30
hashlookup:trust100

Network graph view

Parents (Total: 30)

The searched file hash is included in 30 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize695120
MD58E59793CA50DCC6F92DC1C3813530AFB
PackageDescriptionExamples for the Python Imaging Library The Python Imaging Library (PIL) adds an image object to your Python interpreter. You can load image objects from a variety of file formats, and apply a rich set of image operations to them. . This package contains PIL API documentation and some example scripts. You may also want to look at the python-pil-doc-html or python-pil-doc-pdf packages for the PIL handbook documentation.
PackageMaintainerMatthias Klose <doko@debian.org>
PackageNamepython-pil-doc
PackageSectiondoc
PackageVersion8.3.2-1
SHA-101050DA0C1731CDAB2991CF4AA09854BA06DC24F
SHA-256AFBFAB9D048D879F1E224B6B932A3FD6FFDC31CBD65311D99B7ABB09A92F3862
Key Value
MD55802673E6773D49F84C77ABE95C29B93
PackageArchnoarch
PackageDescription[b'Documentation of the Generic Mapping Tools including documentation and\ntutorial in HTML format. The documentation is additionally available in PDF\n(see ftp://ftp.soest.hawaii.edu/gmt/4/ or http://gmt.soest.hawaii.edu/).', b'Die englische HTML-Dokumentation der Generic Mapping Tools inklusive Tutorial.\nDie Dateien sind auch im PDF-Format erh\xc3\xa4ltlich (siehe dazu\nftp://ftp.soest.hawaii.edu/gmt/4/ oder http://gmt.soest.hawaii.edu/).']
PackageNameGMT-doc
PackageRelease2.29
PackageVersion6.2.0
SHA-115B6BDBB6AF9089103A0EC0C7F3ED119C96BE713
SHA-2563B08437FF0FF20909D5F05C38CD4CBFFD1ABE0B5BDCD6BD7ECB4D6B911243F4D
Key Value
MD50549FF32FB6D6E5247CAACD71707711C
PackageArchnoarch
PackageDescription[b'Documentation of the Generic Mapping Tools including documentation and\ntutorial in HTML format. The documentation is additionally available in PDF\n(see ftp://ftp.soest.hawaii.edu/gmt/4/ or http://gmt.soest.hawaii.edu/).', b'Die englische HTML-Dokumentation der Generic Mapping Tools inklusive Tutorial.\nDie Dateien sind auch im PDF-Format erh\xc3\xa4ltlich (siehe dazu\nftp://ftp.soest.hawaii.edu/gmt/4/ oder http://gmt.soest.hawaii.edu/).']
PackageNameGMT-doc
PackageRelease2.27
PackageVersion6.2.0
SHA-11683E0415ABD29C428C8B200397CA57E67A34D32
SHA-2565C37F5FD93C071A2D896CACE3173846DCCEF3D9DE66B3DFAE0F3247BC4BF9BEF
Key Value
FileSize251448
MD562FB3A8E62C272AF3F4707BF4FF89CE9
PackageDescriptionmodule to access OpenCL parallel computation API (documentation) PyOpenCL lets you access the OpenCL parallel computation API from Python. Here's what sets PyOpenCL apart: * Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. * Completeness. PyOpenCL puts the full power of OpenCL’s API at your disposal, if you wish. * Convenience. While PyOpenCL's primary focus is to make all of OpenCL accessible, it tries hard to make your life less complicated as it does so--without taking any shortcuts. * Automatic Error Checking. All OpenCL errors are automatically translated into Python exceptions. * Speed. PyOpenCL’s base layer is written in C++, so all the niceties above are virtually free. * Helpful, complete documentation and a wiki. * Liberal licensing (MIT). . This package contains HTML documentation and example scripts.
PackageMaintainerDebian OpenCL Maintainers <pkg-opencl-devel@lists.alioth.debian.org>
PackageNamepython-pyopencl-doc
PackageSectiondoc
PackageVersion2021.2.2-1
SHA-1192F0A893F51C3F6D877C099F2887B00B6C74284
SHA-25661446A438EA64C907CAA7A2784B3011523DB950C733E4D7BDCBB3F29CA1ABDE4
Key Value
FileSize159052
MD5431CE50A117D6320D3BCD3839D099DD9
PackageDescriptionmodule to access OpenCL parallel computation API (documentation) PyOpenCL lets you access the OpenCL parallel computation API from Python. Here's what sets PyOpenCL apart: * Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. * Completeness. PyOpenCL puts the full power of OpenCL’s API at your disposal, if you wish. * Convenience. While PyOpenCL's primary focus is to make all of OpenCL accessible, it tries hard to make your life less complicated as it does so--without taking any shortcuts. * Automatic Error Checking. All OpenCL errors are automatically translated into Python exceptions. * Speed. PyOpenCL’s base layer is written in C++, so all the niceties above are virtually free. * Helpful, complete documentation and a wiki. * Liberal licensing (MIT). . This package contains HTML documentation and example scripts.
PackageMaintainerDebian OpenCL Maintainers <pkg-opencl-devel@lists.alioth.debian.org>
PackageNamepython-pyopencl-doc
PackageSectiondoc
PackageVersion2021.1.2-1
SHA-12035E3737C63B956A1B37D5ACD8B5D82562A247D
SHA-25691B750B5427B63695A218B4395ED323139F69898D3A404D88AEFB743959D49AD
Key Value
FileSize124750408
MD5908F49E5D8E57C7B2EA179D9610A62ED
PackageDescriptionPython based plotting system (documentation package) Matplotlib is a pure Python plotting library designed to bring publication quality plotting to Python with a syntax familiar to Matlab users. All of the plotting commands in the pylab interface can be accessed either via a functional interface familiar to Matlab users or an object oriented interface familiar to Python users. . This package contains documentation for python-matplotlib.
PackageMaintainerSandro Tosi <morph@debian.org>
PackageNamepython-matplotlib-doc
PackageSectiondoc
PackageVersion3.3.4-1
SHA-121E45013BE41A53594354D05BEEE568698B02B16
SHA-256418D8B1AD51EB5548AC250AF556A0DFC4372715099965B37531E3986EDB77E21
Key Value
FileSize10816
MD5053ED1AA76685960E0560950A4075693
PackageDescriptionsphinx extension to add a "copy" button to code blocks Sphinx-copybutton does one thing: add little “copy” button to the right of your code blocks. That’s it! . This package installs the library for Python 3.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-sphinx-copybutton
PackageSectionpython
PackageVersion0.3.1-1
SHA-12260A531B3910E3343DF025C679593CEA45C0F87
SHA-256A944C5FAF9CFF0FB3921909761960FFAECC78FC2A62DCA3910A78F44F87B8DF0
Key Value
FileSize169508
MD5D56F2F2C0DB4F3E4AFB7EBF7873B9DD8
PackageDescriptionmodule to access Nvidia‘s CUDA computation API (documentation) PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python. Several wrappers of the CUDA API already exist–so what’s so special about PyCUDA? * Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. PyCUDA knows about dependencies, too, so (for example) it won’t detach from a context before all memory allocated in it is also freed. * Convenience. Abstractions like pycuda.driver.SourceModule and pycuda.gpuarray.GPUArray make CUDA programming even more convenient than with Nvidia’s C-based runtime. * Completeness. PyCUDA puts the full power of CUDA’s driver API at your disposal, if you wish. * Automatic Error Checking. All CUDA errors are automatically translated into Python exceptions. * Speed. PyCUDA’s base layer is written in C++, so all the niceties above are virtually free. * Helpful Documentation. . This package contains HTML documentation and example scripts.
PackageMaintainerDebian NVIDIA Maintainers <pkg-nvidia-devel@lists.alioth.debian.org>
PackageNamepython-pycuda-doc
PackageSectioncontrib/doc
PackageVersion2021.1~dfsg-1
SHA-122A7B1868432C6B088F62D4DE343A287874CE78B
SHA-25620FF36C17CECC791E3F1C627D588061391D9D99334E0EF0898E606A48AE2EED1
Key Value
MD5CA780A24104059A92656A46C581A62BE
PackageArchnoarch
PackageDescription[b'Documentation of the Generic Mapping Tools including documentation and\ntutorial in HTML format. The documentation is additionally available in PDF\n(see ftp://ftp.soest.hawaii.edu/gmt/4/ or http://gmt.soest.hawaii.edu/).', b'Die englische HTML-Dokumentation der Generic Mapping Tools inklusive Tutorial.\nDie Dateien sind auch im PDF-Format erh\xc3\xa4ltlich (siehe dazu\nftp://ftp.soest.hawaii.edu/gmt/4/ oder http://gmt.soest.hawaii.edu/).']
PackageNameGMT-doc
PackageRelease2.32
PackageVersion6.2.0
SHA-12B57FB053866F4E4C4C1606F1877159C69112B03
SHA-256DFC68389E95A2E091D4AA72945D671E7DC29007B5604A5F3F1EB7339B5C51083
Key Value
FileSize156616
MD5221C04AEFEF8ADB58391188E1AE55442
PackageDescriptionmodule to access OpenCL parallel computation API (documentation) PyOpenCL lets you access the OpenCL parallel computation API from Python. Here's what sets PyOpenCL apart: * Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. * Completeness. PyOpenCL puts the full power of OpenCL’s API at your disposal, if you wish. * Convenience. While PyOpenCL's primary focus is to make all of OpenCL accessible, it tries hard to make your life less complicated as it does so--without taking any shortcuts. * Automatic Error Checking. All OpenCL errors are automatically translated into Python exceptions. * Speed. PyOpenCL’s base layer is written in C++, so all the niceties above are virtually free. * Helpful, complete documentation and a wiki. * Liberal licensing (MIT). . This package contains HTML documentation and example scripts.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-pyopencl-doc
PackageSectiondoc
PackageVersion2021.1.2-1build1
SHA-1424B6C28A23E395BE3920A7CBDC5263093235930
SHA-256CE87337B8984840566401AA903A8B1CA173405193C5DADF2E52DD6A1F014EF4C