Result for AA172497CB1CEC93C1723DB199834942244956C6

Query result

Key Value
FileSize4081356
MD50471D4D8EB722A40118BC4DCA6B07550
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-1AA172497CB1CEC93C1723DB199834942244956C6
SHA-25671C68B26ED905B8F0C69EDD4682CC4CCBBF1B7F9BFFDBCBA75A55AC40F38A0ED
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
FileSize110050
MD5AA936EDCF4FE21182F0E0C96AD17799F
SHA-186C4A54DFEC03E4184D3E0921F68A8B7E46B982F
SHA-2561ECDF305DEA7C227FF5305ACBD99AFE946777990C29323AB80E77C8E76A05E0F
SSDEEP3072:SiH1AG5V7Bde/fzOuEjzhZOwK6nQg2/Ww3AZxFcJBXEHsIhfTF9ie:NH1v5V7OHz3E/hZOwK6nQg2/Ww3AZxFF
TLSHT1D1B37C8A379D9CFBE7507B7E04E76F4E8331D02284629B978425FDB5056B3116E2BA0C
Key Value
FileName./usr/lib/debug/.build-id/95/0c1f5f7100de737bf3c5dc30456814660022bf.debug
FileSize42161
MD5BAF1CBAF724ACCAD759B961BE3462114
SHA-161D563C21C9E82F09F8B41D0A2697EBC016C6CC0
SHA-256F19FC6486BF29A971F5E2553E405F6AEB142CA75ABAA6C0BCF6F5F0FD5335FF6
SSDEEP768:q1BT3YKeDE1FVgMmPo74FjEsYMovwRXIO75Jhlfd20T:6hQQ1fSo72jyLw5IAhJd20T
TLSHT1C413B101DFECCC37C416877E88EA5A899235C71006A3A387C4A5E2A64B477058E77F9E
Key Value
FileName./usr/lib/python2.7/dist-packages/pycuda/_driver_d.so
FileSize11744807
MD5E58C9A3E5ACD54E1D584FEF4BD12F6C0
SHA-1544B5BCFF526C7FCFBFC9298C1D32DE76D9C56C5
SHA-25651580AA6546A8DA47EB27ECCA0ED66E9103CA653931CA2F92BC227368545A154
SSDEEP98304:lphBvuXH24IiMPfvnBRp6pxybrE82fhP8lHLLug1UMG7Y33Mg7aFokEY54IESIgd:7QZkpsaZyLimVhpQy
TLSHT194C65B951844F81BCE2770FF6597035C9973BDF9A290AFD0C2D9C12AAC9261B5BF9302
Key Value
FileName./usr/lib/debug/.build-id/c7/9d5bcfca90f9817c6f0571e06851f4c56c47a4.debug
FileSize2944498
MD584A2BC744FEBC9D10B201C36E149BC5D
SHA-1282FD2F291C466F2960F785FF83D769A1830F442
SHA-256154DCAF0C745C040FBCDD7913075DA8F31339BF4D976D1737EDFBBC8A991F754
SSDEEP49152:cz5exLmnbWEyL+Q2Q4MOH+63tnci4byBxY9fvUi5iFXicbxZyZyB3OzGXWVb0Rlz:cz4p86Es2z+63a50x4N50JdZyZyB3Oz2
TLSHT13CD5CF2A1844FC830D4B31FD610F5BB8A6F1BEDA6B5035D692E9CA5B9C4270F6A75303
Key Value
FileName./usr/share/doc/python3-pycuda/copyright
FileSize6401
MD5C38B83C72F3C81BE8B1E67BB4AAE330E
SHA-137E71FA329A4B6B78C557898E4B431039F40F94D
SHA-256FEE7606A87A192DDDE05CB462A011617DB9D94C93E1B1A342D89ED74633AF48D
SSDEEP192:OKQHLnNvPVgKQHLZ++zNOr/c4DPzHre4Xn:nMnNvddMZ+COzRDPfeCn
TLSHT120D1F92E73500B7216A527E23EE668CDB31FB15AB777AAC0B41CC24D173A429D1BB560