Result for 2DDEBB7F38BC33C83AC6361524343DAEBD906861

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Children (87)

Query result

Key Value
FileSize183360
MD58F9F5237510378269CA1E096FE030F5E
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
PackageVersion2022.2.2~dfsg-2
SHA-12DDEBB7F38BC33C83AC6361524343DAEBD906861
SHA-25687AAAC16EE8F39D3BAE6F9504F886E802805D359C76EE7885E9A019F62BE8BB1
hashlookup:children-total87
hashlookup:trust50

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Children (Total: 87)

The searched file hash includes 87 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/share/doc/python-pycuda-doc/examples/from-wiki/matrix_transpose.py
FileSize6235
MD59109A9866B3C4FE3B7B181F05B86929B
SHA-1008F003738EAFDDF1611EDFB5426FAE9C6FF9E94
SHA-2564F57F466E65F81927650E24167B3ACCFB513802D5A7F6AAC7F729468E938ED44
SSDEEP192:iI7IPDm+9t7G04P7u+aeF7EEx6QTwiOeyOUT1x9H:iI7IPDm+jG04P7u+aGEEAWE0UT1H
TLSHT15ED1829FA87919D89312448C8BC36240336BE353058CA8D4FFADDA317F4E86E611A1FD
Key Value
FileName./usr/share/doc/python3-pycuda/copyright
FileSize5917
MD5EC8EF82F4986047B852A33E9937B2154
SHA-1017A9E6C2B3937637C607306BDC8B7842F958A05
SHA-2560C76F1C191C99E7779BA0C7D167342193DD0546E7866CA31766EA34684CF12C6
SSDEEP96:j0r4Tvm+/WlyNl4reeVTG8NvP/4YV04gPzHFcVFqpk4XV7XP+4KQHLog:j0G++zNOr/c8NvPV0DPzHa0W4XFHKQHx
TLSHT10CC1E76F734407B21AD027D23F9AA4CEB34FB15AF7379AC4B45CC14D273A429827A5A0
Key Value
FileName./usr/share/doc/python-pycuda-doc/examples/from-wiki/select_to_list.py
FileSize4073
MD5D96BFFCEE0BD537A53563A2DA6D08980
SHA-1038007E94AC1F35D7C73D89A3B3AF7760299B6B7
SHA-2560E2404F9EBF65D2668DE47D5975C9B647E696427A1010CFFDC280545C5370974
SSDEEP96:PIfik6JfROjI5Hp9r05ekC6qFnXVj0YDnRoUF:PIfg+j8JjFXVj3Si
TLSHT1AF81654C2A3F49BB0C41582B2E8322D437A3D0172B806E54F86EC6945FDE93563A5B6F
Key Value
FileNamesnap-hashlookup-import/usr/share/doc/tox/html/_static/copybutton.css
FileSize1754
MD5FAA1E8CBA0BFC4DFFD1231EFC65CA5A7
RDS:package_id293685
SHA-10399CD735FB8342B41716998890B7F49EA923CD7
SHA-256EF4B422B4C537C378A3B43D507A92007D9C5711FC44DFEB7C1A49B8CEBA57186
SHA-512DE62828FD8BF9761E20636E6911CE7545DE3706B378AB5675A234AF0A31994CBE24167E30D7740ABA8C0A93379E832D84A7F67F9F1C5F83114178A457ABC852A
SSDEEP48:e5S/f63zCXFAqJVA7aUYHb0wab/wO1asdkh6xwO1lld:G2ezgZsqab/wPPh6xw0ld
TLSHT124311244EBA31418284BD2A577E3D788633DF083EC1AD9BDB74961D19F08648A153FAA
insert-timestamp1728242431.196697
mimetypetext/plain
sourcesnap:kvNmVu4h6kL6NMJjXqPyvG3K3EhDO1S9_1
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/share/doc/python-pycuda-doc/examples/from-wiki/using_printf.py
FileSize314
MD5D5B6E9FA4D011C4F91E13F64ECADAC3C
SHA-10796A607CD8CAA24504574C87E0C52FF4E029E55
SHA-2568EB9EB092D93392C5F4DEF584C967E7EC42DA225226C49D4408C599437BD44D3
SSDEEP6:Z3LVqaHqOGyMqgYlxLzOeVIAq2cWffSuTlVOpglZtifsNZ+HuMLCJUN:jd4qtHOeOAqTWfKUIpgl/MGyLCaN
TLSHT104E07D9B923D5CD605221CA9C389413015F2E4430B0C5860E83FC195CF1683B3D962C8
Key Value
FileName./usr/share/doc/packages/python311-marshmallow/html/_static/pygments.css
FileSize5327
MD54F81BE1C1DD97A6EC76AF15B8F926189
SHA-10A00DA690EB674E6C86C132BDD816055B3DE5A6B
SHA-2566F6D5CA74E8FBC721D70C8DB260AB4AC75B69316DAA3854A4614D9F3B2FF0631
SSDEEP96:mklxV5JV4Vd1VDVgVD7VkhlEPPiZupGVu1Lgb:5xZ+VZGh7ef9Etgb
TLSHT11DB137C193505693D93FCA2B7917F05D6F0EB8C870809BD8A89D8389B34CC12657BAF5
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/share/doc/python-pycuda-doc/examples/from-wiki/2dfft.py
FileSize199
MD54CE42CC9C5901712542BD49D103A5835
SHA-10AF960F4834C35E21EDF28EFC4A35140B4C241B8
SHA-256DA7C7355B3FD406A03792CD50F759FCDBFADC36C299A4D806699093D80E91E26
SSDEEP3:TVceLVama5MylveRAVAFRNmRKLfEXEvJYFEqTAxxNKY4GjvAGpaIchiLrSv9KwNx:Z3LV+5MygAucRKLf+0sAQY4G0GUIAJT3
TLSHT1BCD0229E86108281018202CB160E42487C235B5D84C2D81A84DD0B283D6D5BE902A72B
Key Value
FileName./usr/share/doc/python-pycuda-doc/html/searchindex.js
FileSize148846
MD595520302F8C8F5EEB95A14C41D5D3651
SHA-10C310CFF2FD973BB16B68884238C5AC7B6A8E9C1
SHA-25661F93241C84A0F094A7321EEAE61DED6555E26751FF2048A7B51AF2F8F20395E
SSDEEP1536:u/+EMrz/4fauJG//VCunfiKCACJFAZEq3g4BMBc9I/9xJ:u/+EK4faD6KSFAZEq3XEb
TLSHT1DDE32426520B4C27AD57F3644F620C4F36E4A79016E978F769BA5C0F8F4D23E69DE201
Key Value
FileName./usr/share/doc/python-pycuda-doc/examples/from-wiki/sobel_filter.py
FileSize23464
MD5B651C2CE47DC3AE00AF0A8CCFAAAE2E1
SHA-11134981230B9DE003D41332AFC8DC772AEB4A6C6
SHA-2563B7B654162814AA40AA4A1A50D9D704950F08C0BA69B660493E5F0D1D726AD5E
SSDEEP384:9rgHwDVpNhi0o8Tv5jdn//V3ZZGbPVxlVLJdhCEoszf5zdXfP1X5JmrPlx1gyPFp:9rHDVpNhi0o8Tv5jdn//V3ZZGbPVxlVm
TLSHT146B284AF7676D489842F0E824B0344083257299758039971BA4EE15C0FEF52BBBFE7E5
Key Value
FileName./usr/share/doc/python-pycuda-doc/html/index.html
FileSize24087
MD540E3A9BAC99E56CBA33FA3E9F1001B38
SHA-11261C24C5C602AD4EC61B13ADED65FD4149D5825
SHA-256C8A8A68760338C44E8C0E3BC59B59ED69841484A121C2350B94A0EC0C2D115F8
SSDEEP192:Sp2hJkHiA2Yv/PSl87gSl87uS8H758GMtJE+kaAZQsKAFarivRXWb6FwxIwGBwfo:DjtuVysfDYsh3GoyKicX
TLSHT11EB2113244EA4937123347CD5B6B2B2971E7987FC25A0952A1FC036A03D6FA5F90722E





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