Result for 3830962C2D544BEFE2CC664D539947BAF4F55594

Query result

Key Value
FileSize4566506
MD5295099C2AF6ED591050ED7AF5502B3A6
PackageDescriptionPython module to access Nvidia‘s CUDA API (debug extensions) 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 debug extensions build for the Python debug interpreter.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-pycuda-dbg
PackageSectioncontrib/debug
PackageVersion2013.1.1+git20140310-1ubuntu1
SHA-13830962C2D544BEFE2CC664D539947BAF4F55594
SHA-256C3437E7467F3239C42457AB948742E04DE707933136851A68254BA53DF36512D
hashlookup:children-total5
hashlookup:trust50

Network graph view

Children (Total: 5)

The searched file hash includes 5 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib/python2.7/dist-packages/pycuda/_pvt_struct_d.so
FileSize139850
MD53CAE1830309CD5870D9D11C1CBBF9C13
SHA-1B7EBA4290AC6F8F6244F5A3BF7FAEBD56D5245BA
SHA-25651EB0F8A875FCF4321E6A6C5B7AA7018ED8C4331681C498F79F88935D85FBAB2
SSDEEP3072:K1Fa03rfQ7ErqPavndkMtLLpkxPlYA9WxQEcf3:qa03beEZtLLaPlYAUxQEE
TLSHT1FDD35C4A3764DC7FC121CBBA4CDB1B2C4726F021D6636B6B64599638059672CAF0BF2C
Key Value
FileName./usr/lib/python2.7/dist-packages/pycuda/_driver_d.so
FileSize19306320
MD5A2544B249DE9DD9E8481EB68E8E4A0B3
SHA-134D3FB76F311BD93EE217B758B06D4C93B7B3AB8
SHA-256EFD0A92965C3D4E7CE22D92BF24018F42C1B9BC7B1983428400E5B210DAB3940
SSDEEP98304:IphsgGXH24IiMPf/nHRp6pxybrE82f1w8vELvI0Zb6ERHbDAB2aFokEY54IESIgP:FZiV/+Aw5nMi
TLSHT18117B7C992C8E95ECD1B50FE9FF702981526D9CFB660FBC7044D96943C8323A2E9918D
Key Value
FileName./usr/lib/debug/.build-id/9b/f4bb2417fa692083401ece13f7bc08cbbe3518.debug
FileSize47575
MD5177C4DA463EDAFF3C45F427AEE9D0200
SHA-1198000F02517A730D70B72FCF36809D95CC0581A
SHA-25622C2CD139E6BEF1C2162CC3DCA59AC2756DE6A4484215D5B91E9643CE36722AC
SSDEEP768:8PdwgSMsmbkno9IAT2kNvawqVJR2Y4o5T24p9lCPA:6dwgS8bl99TtNva7VeY75TL9lQA
TLSHT16023CF518FE8CE37C87A8B7F8CD9576A9B71D9600483E3D7D874C1A25C427508E22E6E
Key Value
FileName./usr/lib/debug/.build-id/f5/8be39ade9f829b5f8af00e6fb3783fd240615b.debug
FileSize3602179
MD58A15E2BC545E85DA707120803AB88DD4
SHA-13D5AECFB35996A82C5B85E51A5682307E746168F
SHA-2562DE5A71A98BF637B1A02D6DE709206C116EE38D310A9E82843430C2C17C8E3AA
SSDEEP98304:rV7uUp668KkKC/JyESxe7kS07DbeO1xZyZyo3OzGXWVb0Rl0GrqibLoeV3VHoXod:rZuK6mk7JexeF07Db0
TLSHT10DF5C01A1444FC83CD4B71FD620F1BB996B5BEDD6B5035E292E8CA5B9C8230F6B65302
Key Value
FileName./usr/share/doc/python3-pycuda/copyright
FileSize6401
MD5C38B83C72F3C81BE8B1E67BB4AAE330E
SHA-137E71FA329A4B6B78C557898E4B431039F40F94D
SHA-256FEE7606A87A192DDDE05CB462A011617DB9D94C93E1B1A342D89ED74633AF48D
SSDEEP192:OKQHLnNvPVgKQHLZ++zNOr/c4DPzHre4Xn:nMnNvddMZ+COzRDPfeCn
TLSHT120D1F92E73500B7216A527E23EE668CDB31FB15AB777AAC0B41CC24D173A429D1BB560