Result for 06D4C960CFAE854588BF368A589BCA70B8565CDD

Query result

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
hashlookup:parent-total17
hashlookup:trust100

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Parents (Total: 17)

The searched file hash is included in 17 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize410488
MD56F886887343991EB6ADF07F39FEAE039
PackageDescriptionPython 3 module to access OpenCL parallel computation API 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 Python 3 modules.
PackageMaintainerDebian OpenCL Maintainers <pkg-opencl-devel@lists.alioth.debian.org>
PackageNamepython3-pyopencl
PackageSectionpython
PackageVersion2021.2.2-1
SHA-12662D5EBB7A21D2943EBBB808D8F8F4F6A142CF8
SHA-256B3AD5B5919B9AACC73CE32F72B6B2ADDD9DD2FAD996C98F2FAECEA4977684601
Key Value
FileNamehttp://dl-cdn.alpinelinux.org/alpine/latest-stable//community//armv7//py3-opencl-2022.3.1-r2.apk
MD5508730A77D418181B3B2149F99F79C85
SHA-126E5A852E226EFBD172FC1FAC0714F3287C5CE38
SHA-256A5080CDF5700DD6F3C8095AD6499D6D876E3BAB83CE0DF89620058ACEA83269A
SSDEEP12288:PyHcC+lxVfkdOByAlS6XwA+o5l/HkrDaScf2rRnVviraDIgcjU:PgcDxVcuyix/HkrDF22vOaES
TLSHT1FFB423D732DAB7F04F56E2670775B990F622C90FA8E76B1457243A15B62C8042EC09FA
Key Value
FileSize316184
MD52759CA0B5317934D9C1E387CFADEE0E0
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
PackageVersion2022.1~dfsg-1+b2
SHA-13E6979DE298CF0818067A4899F2B1BBAD69D23CC
SHA-256AF4FD2CB4EFB5B2E9A1ED4352075823F959EE5E22F3FF8140215C3C6E79CE599
Key Value
FileSize450300
MD56D2AC6BE4CB61671D8C952A8B7546D31
PackageDescriptionPython 3 module to access OpenCL parallel computation API 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 Python 3 modules.
PackageMaintainerDebian OpenCL Maintainers <pkg-opencl-devel@lists.alioth.debian.org>
PackageNamepython3-pyopencl
PackageSectionpython
PackageVersion2021.2.2-1
SHA-13EFA2BC78D1A548FF6F936060214451BA77379EA
SHA-2565280FF2E8AEE495F433D684510B6F862816DCB9260EB286F39F926650502F60C
Key Value
FileNamehttp://dl-cdn.alpinelinux.org/alpine/latest-stable//community//x86_64//py3-opencl-2022.3.1-r2.apk
MD51730CEC024555593F7B276825422A312
SHA-14171F3D9DDE164D5ADEF286D662F676FBD1FC48F
SHA-256231ABA684E5777CEA90F619867491FE41D8BA7FD68B0FC7EAB3E3B1304C8775D
SSDEEP12288:16wEzutR8IgTdmCToUiVjvGJ9bPWNBtoJORrU:16wEzquIgTdmvhju7jWdg
TLSHT170B423378AB412813D5673073E962C93B048A13F44EF52AD4904D6ABED6BC63EEFD911
Key Value
FileNamehttp://dl-cdn.alpinelinux.org/alpine/latest-stable//community//x86//py3-opencl-2022.3.1-r2.apk
MD5F13DE69E184C2CDDD698CC98F0E2BC47
SHA-14DF04BFED204C77D8E25E0A04FFF783EBF1107A0
SHA-25671790F1BC580C1DBF93C569731AFD09FA96A7EC3AC3C3DA1788B9F00D5E91A43
SSDEEP12288:4cbdT/O38wRZ77rBpjxKLITMeN30D0VyvhEm00fn:9dT4frBFUL+8/0en
TLSHT106B42393D9E59C7216980EECBD3F0B4A113AD417D4D9F84D3B449AD326CA334E5A2CCA
Key Value
FileNamehttp://dl-cdn.alpinelinux.org/alpine/latest-stable//community//s390x//py3-opencl-2022.3.1-r2.apk
MD5C1B4F114FD29414AA8F2B20270F5E936
SHA-157C8557C7D1E89B009A89D0D7E4A84CCB5556155
SHA-25695C9B7D9E038ED3D6A983662F7EB2246E6F2D311AF80B39DA7F12E370D80FF47
SSDEEP12288:4vm6jCEI8DRMrj8JFzx2/nln36L3Ed/E7lq1AQBDF+A:4pjeEaEnx2/nBvhE7lbm
TLSHT1EDB433A0E6E810DA1D575F3A7DE0F566CC2F598B4824DD9D02296BA7D20BE00F5D2BC3
Key Value
FileNamehttp://dl-cdn.alpinelinux.org/alpine/latest-stable//community//s390x//py3-opencl-2021.2.6-r1.apk
MD582C31BD5513655D80702AB96D7573E0F
SHA-19575A5C23CCDCE9893F9F705DD5A7EA98E4C91ED
SHA-2560BD3A487E948A45140B7C4BE8AE5E1456684578ACB19DEBF5E03ADFF0EF539BD
SSDEEP12288:HtSKuWXzuBmyWxMxDdT72Fq6h1wIeypdBaeIChidb6lebFP+VumlX4JjvXN9xdZk:HtSKfzSmyW6DFqq6h1MypdUevho+lMD+
TLSHT1AFE433DDC9331B67DE180CCD81FBFDA5B409188B01E3068B42D46FA524FBD9666B46A3
Key Value
FileNamehttp://dl-cdn.alpinelinux.org/alpine/latest-stable//community//x86//py3-opencl-2021.2.6-r1.apk
MD556441DF64192122A6C84685D71278984
SHA-19D32B0159A37C6D6606AB4366EBA2E323274E072
SHA-25687BFE8D99C094AEA3E041E28995F493E0540321F6248FE0E358FB8D5884217D8
SSDEEP12288:At1KDWXzuBwxvovYFjiVxPngNkIioq7Ih0VCR9GCbuvWF8rzBQI1lKhdr:At1K6zSzrxPnsS/IhY2G4uvWWQIK3
TLSHT109E42394145D5A18B520FB48B6FA61F19BC7922E83BF98C3045C45AE58E37CBB37C29C
Key Value
FileSize329524
MD5E39E829BAED401402799183298168ED6
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
PackageVersion2022.1~dfsg-1+b2
SHA-1B3D937C10BD617F39313EF47652B115BC308CA8D
SHA-25683CE93FCC2DBBC2794C362EEA69DCDB61E037AA823C4929F0DDB7A77B503615D