Result for F6586DE689141BB88F93E9A6FF9CD3D28765186E

Query result

Key Value
FileSize314308
MD5017D08C1CB5EE436FD7377EC13B1F147
PackageDescriptionPython 3 module to access Nvidia‘s CUDA parallel computation API 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 Python 3 modules.
PackageMaintainerDebian NVIDIA Maintainers <pkg-nvidia-devel@lists.alioth.debian.org>
PackageNamepython3-pycuda
PackageSectioncontrib/python
PackageVersion2022.2.2~dfsg-2+b1
SHA-1F6586DE689141BB88F93E9A6FF9CD3D28765186E
SHA-256D40BBD22F382C1DCA63A03BDC16DDAEDEEAFC1E00C973078C672FEA072AB8650
hashlookup:children-total40
hashlookup:trust50

Network graph view

Children (Total: 40)

The searched file hash includes 40 children files known and seen by metalookup. A sample is included below:

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
FileNameusr/lib/python3.11/site-packages/pyopencl/compyte/dtypes.py
FileSize9809
MD57AF1E32EB565DEAB046687ABA6316234
SHA-106D4C960CFAE854588BF368A589BCA70B8565CDD
SHA-256E26B820089A5C9E80F7515875BB89F98755E6F3161EB01D7B083F83E20FE9F37
SSDEEP192:wQH5Bujh5AYhNckEDD3vumAQLrQZQ+Q2QeQHcjDXQrQ1QFNQKfQ+QdQeQqQCqCQB:wcgvEuGb/LwHGk+
TLSHT1DF12EB4F4D01D4135BD3963E1E9BB481A2173BCFA1C47820BBAD64F86F06319D2E5B99
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/sparse/operator.py
FileSize826
MD561EC9A620B91C8B994E049DCC92BF94C
SHA-10DC0F31306288E31E2EE80842DE6B58B44E03357
SHA-256215EAB4A30BFF127D105694B47E5F3CAFC2B4BB9F6FC421D437CCA5C634E8D88
SSDEEP12:2yEJfnxqfnxDrp1AP4w9i9toEiVhRIKOdJ1Q0JGp1A38RF9h99i+MYRiV99FkZ:2yEJPxqPxHTAP4XiLR96rGTAtIi0Z
TLSHT12501F9596B4BC069A64BD72980D2F543D2091E074D2C2CA5B2FC7161EF66F20D6C8EF0
Key Value
FileName./usr/share/doc/python3-pycuda/changelog.Debian.gz
FileSize1791
MD57380FA72E4B85B5CB9E5D491311DDF3F
SHA-1121727AB8CD17F59B4F3EA9CA66C86BF98696606
SHA-2561CE57AFE3BC630EB04351B798C6743CEA4F7DF4AAA99DB7F1A3ADF93145C3ABA
SSDEEP48:XKqhifkBzCgrKnUldaGlwbjJLDlyLbZv38zADHQRYCsKJ:6q7/rKnsqVDALB8zADHiYClJ
TLSHT13131E9A4CEB5CA279CB5D16A0296E580B5CF2B234521D0AD1035E409F8FCDE26CBD6AD
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/cumath.py
FileSize4835
MD5F9922651AA0D42514B51C99A94BB3A3A
SHA-1157FD63B98851A81B9DB293B10D84DB15EBD3F13
SHA-256A3CDFF2B07D7F1700DA99D276FD8ACA22DC756040E94C1212FE0170E74CBBA81
SSDEEP96:pjmsWwTfp+2WyMY54o9EMPO54Q99lASJx43M4N4cLzu0EGUY43446Rv:pzfsqT54MDG5piSPNXkpdhhv
TLSHT18DA13F6E6E8294ADA6CA354D0CEA18C363C1E137394028E97F4F7A990F3951CB7751AC
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/sparse/cg.py
FileSize7532
MD5AAEDD04FB51F35C9B9E912B1777C96CE
SHA-115B259196480347E6E3BAAC6A9710B5EC3D2ED36
SHA-25635EDF8AE8742AB8CC281425EAB6C6C58F036BAE314E9CE51F09E0139ED0418C9
SSDEEP192:yHlptmtPAmufD1l769eMFTPlbtNprwKpupnF5imCF4pG:yftmtPLOD1d69e+zwF5Y
TLSHT118F157914DA74C25A717EA5B64C6B403272C1B0B9F0D18B176FCE6647F05320E3A6EF5
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/gpuarray.py
FileSize67617
MD5A7CFC953D2F56A3C69F7E1050251FFE7
SHA-11FFABD126D5F7E39DC2703AF3A46F613A32F801A
SHA-256B2DBD820ADB83FB48B66389D8ADC5EB8030B076BD889B5CA98817BE11DA252E7
SSDEEP1536:KEGs+LySFXJvOHKbt4l1bSSynDWC1P1CmlRyYC5UC5oC5Dd5pl1ApjEPQUkhrUfN:KEGsKZJvOHKx4l1InDWC1P1CmlRyYC51
TLSHT1356362866D55585BA383F51D8CD3BC03B7056B171B0C25B57AAC69A02F2132DB3B8BEC
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/compiler.py
FileSize17325
MD547C50B429E3AAC8B1F23427C02C68C0A
SHA-12D369DEAB18B7AF40B83E54E7CF4790256BF04B6
SHA-2567F8BCBF3E30E57B54307698AD0BF32450B4EE4E2E137AA8B23651AB41CAD0566
SSDEEP384:0WDBqnP1xFa/VrJQbf8CNR4z8GxVcYUbS6E:0W9qP1xFAVSbkCNGxVx
TLSHT1A6728512891418A2D2A38AEDE9C750025355F593AE18203CBDEC539C2F98579F2F7EFC
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/elementwise.py
FileSize23660
MD555022008D5496C1904B468BBFAE2B61B
SHA-1373CCB638447B50484F5D99DC136479EE7DF0796
SHA-2563530A3E9BB7B482DB9C7E48D578A289AAC44F1F969122AB748F5F71C5321A1A9
SSDEEP384:Nc70dY0HEEYQdnLP8Efj9QHyLS91pWt/694y69q269Yb9N69p69K9+P9gEqNTN06:S7WYuEEYCj8Cj9QHyLS91pWt/694y69U
TLSHT154B2738494A698A28793EABC5D86F4467614678F08443D143FEC723C2F5A73A93F739C
Key Value
FileName./usr/lib/python3/dist-packages/pycuda/_driver.cpython-311-aarch64-linux-gnu.so
FileSize1664128
MD5ACC64D818DAFFBE9D469F571B14DC3C3
SHA-13AD816F5B2798D3337CFEAA5E5E257DF7FCD1335
SHA-256F38DAA2A573FCD8D355E6C3EE88D922C2CEE4F25F2F342579E3ABA3C198789BD
SSDEEP49152:MTPQYI0ZsvEcuOew462sIsum6vPWE7IC2VhfKsJzbDAn++9vtN6wTnKonV1O/dNs:MTPQYI0ZsvEcuOew462sIsum6vPWE7IK
TLSHT12C75B72BB948FC43DE8FB0BD560F17B971A7AACD575074D261E8C60BAC8378A5E74201