Result for 026E05DD3C4D8B18C6648C9CDD613439FBEB77DE

Query result

Key Value
FileNamesnap-hashlookup-import/lib/python3.6/site-packages/numba/targets/randomimpl.py
FileSize51022
MD5E63D68B4826052940922F0F7D998F61F
SHA-1026E05DD3C4D8B18C6648C9CDD613439FBEB77DE
SHA-256104D8562858CC30E8D593469E709C7B2F306D551D25CB5427924C3C4657DB5BE
SHA-512BCE34D88D98D5D5BA924FE97C84A2B4E1600191E8AED96E52C187EE919C2FEC1DC50165F102DF89659D1557EBE2C1CBDC6BAF1C701905A274DE54849FD0CF123
SSDEEP768:AX8bbU3uWbVp6VGMAq14+B/BEPFVcXkX73ckjvL8w+gEgzf+JGw4gZD:Ah1bVJyYDcXkX73co+xgKJG9gZD
TLSHT10B3300367CD5696093CA806928EA5FB4E33E783358D11D64B81C43390FE2429E2FE79C
insert-timestamp1727098281.2039192
mimetypetext/plain
sourcesnap:0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19
hashlookup:parent-total12
hashlookup:trust100

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Parents (Total: 12)

The searched file hash is included in 12 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize1111044
MD548AF7EA6EA81232269B3E18D36C79400
PackageDescriptionnative machine code compiler for Python 3 Numba compiles native machine code instructions from Python programs at runtime using the LLVM compiler infrastructure. It could be easily employed by decorating individual computation intensive functions in the Python code. Numba could significantly speed up the performance of computations, and optionally supports compilation to run on GPU processors through Nvidia's CUDA platform. It integrates well with the Python scientific software stack, and especially recognizes Numpy arrays. . This package contains the modules for Python 3.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-numba
PackageSectionpython
PackageVersion0.42.0-1
SHA-1B61BE28220A4C510DDB025DFF2A230CA15135D3F
SHA-256FFCF72272F4A45CA64C6A4617B87EEB4169BF698C749872137FA0E2D90C60029
Key Value
FileSize1100360
MD5B2EF3E16D1299162956C2DC3C33DF4D2
PackageDescriptionnative machine code compiler for Python 3 Numba compiles native machine code instructions from Python programs at runtime using the LLVM compiler infrastructure. It could be easily employed by decorating individual computation intensive functions in the Python code. Numba could significantly speed up the performance of computations, and optionally supports compilation to run on GPU processors through Nvidia's CUDA platform. It integrates well with the Python scientific software stack, and especially recognizes Numpy arrays. . This package contains the modules for Python 3.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-numba
PackageSectionpython
PackageVersion0.42.0-1
SHA-1D8A9902E21F06AA1C08C3D9ABA2F294F8F5B01D7
SHA-25644E2C1524A79F32C61EEB23EFC9B2F9B88535C865907965DCCDED46480E90A9B
Key Value
FileSize1107960
MD5D12F3E20B5F5C35DCC0A7588A3780EF2
PackageDescriptionnative machine code compiler for Python 3 Numba compiles native machine code instructions from Python programs at runtime using the LLVM compiler infrastructure. It could be easily employed by decorating individual computation intensive functions in the Python code. Numba could significantly speed up the performance of computations, and optionally supports compilation to run on GPU processors through Nvidia's CUDA platform. It integrates well with the Python scientific software stack, and especially recognizes Numpy arrays. . This package contains the modules for Python 3.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-numba
PackageSectionpython
PackageVersion0.42.0-1
SHA-143185E107B8BD407E00A04E430BEA6F6272BE387
SHA-2565198A70E1A17FE415BF6E16D47871163A0C9DB067DAF5C0A05C827125881D238
Key Value
FileSize1089144
MD5A04DF0C560B0CDA2946EE126B9DF10F4
PackageDescriptionnative machine code compiler for Python 3 Numba compiles native machine code instructions from Python programs at runtime using the LLVM compiler infrastructure. It could be easily employed by decorating individual computation intensive functions in the Python code. Numba could significantly speed up the performance of computations, and optionally supports compilation to run on GPU processors through Nvidia's CUDA platform. It integrates well with the Python scientific software stack, and especially recognizes Numpy arrays. . This package contains the modules for Python 3.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-numba
PackageSectionpython
PackageVersion0.42.0-1
SHA-1DC8F4F1C26AD7FCA23F07657964B9FC34F050C6A
SHA-256F8BE00C777A5686564452B70F39724C29EFE1D495DCAAA31BABDEC55CB29C445
Key Value
FileSize1098764
MD53C555BD7D45844626836404DA189D661
PackageDescriptionnative machine code compiler for Python 3 Numba compiles native machine code instructions from Python programs at runtime using the LLVM compiler infrastructure. It could be easily employed by decorating individual computation intensive functions in the Python code. Numba could significantly speed up the performance of computations, and optionally supports compilation to run on GPU processors through Nvidia's CUDA platform. It integrates well with the Python scientific software stack, and especially recognizes Numpy arrays. . This package contains the modules for Python 3.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-numba
PackageSectionpython
PackageVersion0.42.0-1
SHA-173307CC11E0E06E3BF3B0C35B64521D9C8F344C0
SHA-25628CEB50B070A0E059AEC31EE6D34706CE452B418D1D884BD11794CC539708455
Key Value
SHA-1F0F46CD4B62FBCDE84ED8D6BFC7272E932A8A854
snap-authoritycanonical
snap-filename0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19.snap
snap-id0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19
snap-namemesmerize
snap-publisher-idfEhmgPJBtlCxzqx3JofAbFFGndznOB8t
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2019-07-06T23:45:50.227314Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19.snap
Key Value
FileSize1105336
MD5792770DD804C5D0272F40F97584D7BF7
PackageDescriptionnative machine code compiler for Python 3 Numba compiles native machine code instructions from Python programs at runtime using the LLVM compiler infrastructure. It could be easily employed by decorating individual computation intensive functions in the Python code. Numba could significantly speed up the performance of computations, and optionally supports compilation to run on GPU processors through Nvidia's CUDA platform. It integrates well with the Python scientific software stack, and especially recognizes Numpy arrays. . This package contains the modules for Python 3.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-numba
PackageSectionpython
PackageVersion0.42.0-1
SHA-1703D95B0D70E5FE0BAC193B9AC739B05FAAFB5FF
SHA-25656BAEF124307F70A1691A3DED4D6AE02656A871479D62A934CD1E90EAA578DAE
Key Value
SHA-1E16F9792C86A0DCFA3EAAB46F31DFCF27A4F2AD5
snap-authoritycanonical
snap-filenamejmi2WhMiDy5JbZURMPJKbQzjTlsZQGaG_25.snap
snap-idjmi2WhMiDy5JbZURMPJKbQzjTlsZQGaG_25
snap-nameopen-karaoke-producer
snap-publisher-idnOkgLCCuaiDVGhaYwTsldnCfMuR1F3wa
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2018-04-10T23:56:23.164452Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/jmi2WhMiDy5JbZURMPJKbQzjTlsZQGaG_25.snap
Key Value
FileSize1098796
MD55DA1632CD2558A5AD50849BE2CB372FC
PackageDescriptionnative machine code compiler for Python 3 Numba compiles native machine code instructions from Python programs at runtime using the LLVM compiler infrastructure. It could be easily employed by decorating individual computation intensive functions in the Python code. Numba could significantly speed up the performance of computations, and optionally supports compilation to run on GPU processors through Nvidia's CUDA platform. It integrates well with the Python scientific software stack, and especially recognizes Numpy arrays. . This package contains the modules for Python 3.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-numba
PackageSectionpython
PackageVersion0.42.0-1
SHA-19CCA338DEA7F487C0569F68C88E863FC68295D03
SHA-256A07345D6DB4BCDF844E12969E8B1CAEF2C0DA36A4B87E21095C4481F0A4279B3
Key Value
FileSize1091476
MD5DC647D1F3C71B6CDA722B4F80AA7A1CC
PackageDescriptionnative machine code compiler for Python 3 Numba compiles native machine code instructions from Python programs at runtime using the LLVM compiler infrastructure. It could be easily employed by decorating individual computation intensive functions in the Python code. Numba could significantly speed up the performance of computations, and optionally supports compilation to run on GPU processors through Nvidia's CUDA platform. It integrates well with the Python scientific software stack, and especially recognizes Numpy arrays. . This package contains the modules for Python 3.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-numba
PackageSectionpython
PackageVersion0.42.0-1
SHA-10680957EA109F9F9654EFB7DF2836B8B6C96B0AD
SHA-256037529AE6DEFFF871B81E899CCA48EA5741F358DAC3F3887D7C8644E8D946DFF
Key Value
FileSize1114564
MD510A28E8793027B2CE57715BDA9E55FAC
PackageDescriptionnative machine code compiler for Python 3 Numba compiles native machine code instructions from Python programs at runtime using the LLVM compiler infrastructure. It could be easily employed by decorating individual computation intensive functions in the Python code. Numba could significantly speed up the performance of computations, and optionally supports compilation to run on GPU processors through Nvidia's CUDA platform. It integrates well with the Python scientific software stack, and especially recognizes Numpy arrays. . This package contains the modules for Python 3.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-numba
PackageSectionpython
PackageVersion0.42.0-1
SHA-14C5CEFC1D8499E70B3F87107048142D98B960C6A
SHA-256E911351842788235822404D59F44830C683E2A1706172F63FE6D6BBF49762F48
Key Value
FileSize1106412
MD567E0AEB95675717D3E3989076D019898
PackageDescriptionnative machine code compiler for Python 3 Numba compiles native machine code instructions from Python programs at runtime using the LLVM compiler infrastructure. It could be easily employed by decorating individual computation intensive functions in the Python code. Numba could significantly speed up the performance of computations, and optionally supports compilation to run on GPU processors through Nvidia's CUDA platform. It integrates well with the Python scientific software stack, and especially recognizes Numpy arrays. . This package contains the modules for Python 3.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-numba
PackageSectionpython
PackageVersion0.42.0-1
SHA-1670B5BA7B9BC86A7D7281DABF9472550AC075767
SHA-256F9D1200117C6D98CB4107308E234C5FC3EC3EFF8E3167A53BC14E8942324324D