Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.6/site-packages/numba/targets/randomimpl.py |
FileSize | 51022 |
MD5 | E63D68B4826052940922F0F7D998F61F |
SHA-1 | 026E05DD3C4D8B18C6648C9CDD613439FBEB77DE |
SHA-256 | 104D8562858CC30E8D593469E709C7B2F306D551D25CB5427924C3C4657DB5BE |
SHA-512 | BCE34D88D98D5D5BA924FE97C84A2B4E1600191E8AED96E52C187EE919C2FEC1DC50165F102DF89659D1557EBE2C1CBDC6BAF1C701905A274DE54849FD0CF123 |
SSDEEP | 768:AX8bbU3uWbVp6VGMAq14+B/BEPFVcXkX73ckjvL8w+gEgzf+JGw4gZD:Ah1bVJyYDcXkX73co+xgKJG9gZD |
TLSH | T10B3300367CD5696093CA806928EA5FB4E33E783358D11D64B81C43390FE2429E2FE79C |
insert-timestamp | 1727098281.2039192 |
mimetype | text/plain |
source | snap:0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19 |
hashlookup:parent-total | 12 |
hashlookup:trust | 100 |
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 |
---|---|
FileSize | 1111044 |
MD5 | 48AF7EA6EA81232269B3E18D36C79400 |
PackageDescription | native 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. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python3-numba |
PackageSection | python |
PackageVersion | 0.42.0-1 |
SHA-1 | B61BE28220A4C510DDB025DFF2A230CA15135D3F |
SHA-256 | FFCF72272F4A45CA64C6A4617B87EEB4169BF698C749872137FA0E2D90C60029 |
Key | Value |
---|---|
FileSize | 1100360 |
MD5 | B2EF3E16D1299162956C2DC3C33DF4D2 |
PackageDescription | native 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. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python3-numba |
PackageSection | python |
PackageVersion | 0.42.0-1 |
SHA-1 | D8A9902E21F06AA1C08C3D9ABA2F294F8F5B01D7 |
SHA-256 | 44E2C1524A79F32C61EEB23EFC9B2F9B88535C865907965DCCDED46480E90A9B |
Key | Value |
---|---|
FileSize | 1107960 |
MD5 | D12F3E20B5F5C35DCC0A7588A3780EF2 |
PackageDescription | native 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. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python3-numba |
PackageSection | python |
PackageVersion | 0.42.0-1 |
SHA-1 | 43185E107B8BD407E00A04E430BEA6F6272BE387 |
SHA-256 | 5198A70E1A17FE415BF6E16D47871163A0C9DB067DAF5C0A05C827125881D238 |
Key | Value |
---|---|
FileSize | 1089144 |
MD5 | A04DF0C560B0CDA2946EE126B9DF10F4 |
PackageDescription | native 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. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python3-numba |
PackageSection | python |
PackageVersion | 0.42.0-1 |
SHA-1 | DC8F4F1C26AD7FCA23F07657964B9FC34F050C6A |
SHA-256 | F8BE00C777A5686564452B70F39724C29EFE1D495DCAAA31BABDEC55CB29C445 |
Key | Value |
---|---|
FileSize | 1098764 |
MD5 | 3C555BD7D45844626836404DA189D661 |
PackageDescription | native 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. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python3-numba |
PackageSection | python |
PackageVersion | 0.42.0-1 |
SHA-1 | 73307CC11E0E06E3BF3B0C35B64521D9C8F344C0 |
SHA-256 | 28CEB50B070A0E059AEC31EE6D34706CE452B418D1D884BD11794CC539708455 |
Key | Value |
---|---|
SHA-1 | F0F46CD4B62FBCDE84ED8D6BFC7272E932A8A854 |
snap-authority | canonical |
snap-filename | 0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19.snap |
snap-id | 0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19 |
snap-name | mesmerize |
snap-publisher-id | fEhmgPJBtlCxzqx3JofAbFFGndznOB8t |
snap-signkey | BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul |
snap-timestamp | 2019-07-06T23:45:50.227314Z |
source-url | https://api.snapcraft.io/api/v1/snaps/download/0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19.snap |
Key | Value |
---|---|
FileSize | 1105336 |
MD5 | 792770DD804C5D0272F40F97584D7BF7 |
PackageDescription | native 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. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python3-numba |
PackageSection | python |
PackageVersion | 0.42.0-1 |
SHA-1 | 703D95B0D70E5FE0BAC193B9AC739B05FAAFB5FF |
SHA-256 | 56BAEF124307F70A1691A3DED4D6AE02656A871479D62A934CD1E90EAA578DAE |
Key | Value |
---|---|
SHA-1 | E16F9792C86A0DCFA3EAAB46F31DFCF27A4F2AD5 |
snap-authority | canonical |
snap-filename | jmi2WhMiDy5JbZURMPJKbQzjTlsZQGaG_25.snap |
snap-id | jmi2WhMiDy5JbZURMPJKbQzjTlsZQGaG_25 |
snap-name | open-karaoke-producer |
snap-publisher-id | nOkgLCCuaiDVGhaYwTsldnCfMuR1F3wa |
snap-signkey | BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul |
snap-timestamp | 2018-04-10T23:56:23.164452Z |
source-url | https://api.snapcraft.io/api/v1/snaps/download/jmi2WhMiDy5JbZURMPJKbQzjTlsZQGaG_25.snap |
Key | Value |
---|---|
FileSize | 1098796 |
MD5 | 5DA1632CD2558A5AD50849BE2CB372FC |
PackageDescription | native 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. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python3-numba |
PackageSection | python |
PackageVersion | 0.42.0-1 |
SHA-1 | 9CCA338DEA7F487C0569F68C88E863FC68295D03 |
SHA-256 | A07345D6DB4BCDF844E12969E8B1CAEF2C0DA36A4B87E21095C4481F0A4279B3 |
Key | Value |
---|---|
FileSize | 1091476 |
MD5 | DC647D1F3C71B6CDA722B4F80AA7A1CC |
PackageDescription | native 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. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python3-numba |
PackageSection | python |
PackageVersion | 0.42.0-1 |
SHA-1 | 0680957EA109F9F9654EFB7DF2836B8B6C96B0AD |
SHA-256 | 037529AE6DEFFF871B81E899CCA48EA5741F358DAC3F3887D7C8644E8D946DFF |
Key | Value |
---|---|
FileSize | 1114564 |
MD5 | 10A28E8793027B2CE57715BDA9E55FAC |
PackageDescription | native 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. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python3-numba |
PackageSection | python |
PackageVersion | 0.42.0-1 |
SHA-1 | 4C5CEFC1D8499E70B3F87107048142D98B960C6A |
SHA-256 | E911351842788235822404D59F44830C683E2A1706172F63FE6D6BBF49762F48 |
Key | Value |
---|---|
FileSize | 1106412 |
MD5 | 67E0AEB95675717D3E3989076D019898 |
PackageDescription | native 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. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python3-numba |
PackageSection | python |
PackageVersion | 0.42.0-1 |
SHA-1 | 670B5BA7B9BC86A7D7281DABF9472550AC075767 |
SHA-256 | F9D1200117C6D98CB4107308E234C5FC3EC3EFF8E3167A53BC14E8942324324D |