Key | Value |
---|---|
MD5 | 5A90D3C00EC378B410B78D1FF0464097 |
PackageArch | x86_64 |
PackageDescription | Numba is a NumPy-aware optimizing compiler for Python. It uses the LLVM compiler infrastructure to compile Python syntax to machine code. It is aware of NumPy arrays as typed memory regions and so can speed-up code using NumPy arrays. Other, less well-typed code will be translated to Python C-API calls, effectively removing the "interpreter", but not removing the dynamic indirection. Numba is also not a tracing JIT. It *compiles* your code before it gets run, either using run-time type information or type information you provide in the decorator. Numba is a mechanism for producing machine code from Python syntax and typed data structures such as those that exist in NumPy. |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python38-numba |
PackageRelease | 1.1 |
PackageVersion | 0.54.1 |
SHA-1 | A0C3FD5C6CBAB490C4A32015EA2DF316566DCCCC |
SHA-256 | E3B854BB85C41775F7F33961743B07BCC261DA17D1B5EC811A6907A1C0BBDE04 |
hashlookup:children-total | 1896 |
hashlookup:trust | 50 |
The searched file hash includes 1896 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/numba/cpython/__pycache__/cmathimpl.cpython-38.opt-1.pyc |
FileSize | 13017 |
MD5 | 7ACD48A1F6D0175BE03E736CD3F45CA9 |
SHA-1 | 0014BAAAADE2C6725496D39DA611F202CE7085C8 |
SHA-256 | A97EAD8D8F7801FA2AA1140B7B1DCA5B702D6238ED13A0BD9B9F4B8C17E8EE9E |
SSDEEP | 384:DzMFusLhu+Lt1E2FkEfinvO5kfPu8zbbMyQhAhQOCNsRal1qfvSp/eUvGHWtjZVi:D2usLhu+Lt1E2FkEfinvO5kfm83bMJhu |
TLSH | T18B4286F09C5E1D8EFC78F3FE846B43601E35D629225A9D2B6520F2773D456EB2C24289 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/numba/testing/notebook.py |
FileSize | 5501 |
MD5 | C502C3C6172F4BF80E36547BC3F7D851 |
RDS:package_id | 302124 |
SHA-1 | 002E5162792D76FF68B0491CEF9EF54FD00F48EE |
SHA-256 | CEE05F8FC4075C590DBD5DA8CB3DB78231597B5231B7B38500CB608C24AA9BE6 |
SHA-512 | 6CA05FDE49F41F89E58CDC4DD17858955D21E6378E43B742C8268499E0E8BD8551C76EE97537645F82766AD2F7D81B610BBFBAC929B9EA6832A3D988E94C6601 |
SSDEEP | 96:LXjwiy6H4Hu9/FZJVKbTV5P5rB4b/GvbEdTvoVXYC8ZOwaDbwx:LXjwZ6vt+5P5t4buvIdTvoVXYC8ZOwaa |
TLSH | T1D3B16217E80B1910935BA8B959C3F54BB30DB80340141A35BDACAB642F8157EE9E4FFC |
insert-timestamp | 1728981424.5200517 |
mimetype | text/x-python |
source | snap:GykkVV3GyN1UDOhApxrHkXPEPZHpbDE0_105 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/numba/cuda/tests/cudapy/__pycache__/test_vectorize_device.cpython-38.pyc |
FileSize | 1553 |
MD5 | 861C66550FA7D5258142FFA3E78FB982 |
SHA-1 | 004C93544104F8FB4BB3F17D1ED2516DEA801E02 |
SHA-256 | E8292E78A433829A9FB10D507B0A6CB6889AF911ECEFF3D52B2814BED0FB3875 |
SSDEEP | 24:GlQb6q8AhiYL98PydKR5oGijiyhk8oLtI9TfdPKY79a9ItPFDIPa+:6AZ5gRfwPFopI179cUNDIS+ |
TLSH | T1293127C41D025F53F85BB37B995A110655B1D1E6D30996D3061D9136AF0334E3FC92AD |
Key | Value |
---|---|
FileName | snap-hashlookup-import/usr/lib/python3/dist-packages/numba/cloudpickle/cloudpickle.py |
FileSize | 30600 |
MD5 | FFD6D7D4C4396DF14718B69F040BF1A5 |
RDS:package_id | 288587 |
SHA-1 | 0076F6EA3E373DCCEECA1E5548C3FB710E18F54F |
SHA-256 | 55D22AB05250A574C2842C60C09F402955D864C3A150426EE4407D522B415D21 |
SHA-512 | 10C38E313D606E27817CA35375F0F6006110E47A4FA3FDB504BF15071FFFB925907C5AC6B4FC6DBA9C5E42384E44050FB01260027B133B7C7B15E10373B64EE1 |
SSDEEP | 768:5t16jY22FlsXiFtNN0KffWD16PADQr/JwwT:5tiY224StJff/PZ |
TLSH | T1BBD2C81AA550B7738617A878A8ABD251E768686B770411387CECC25C1F01A35C2FB7EE |
insert-timestamp | 1727056566.4431076 |
mimetype | text/plain |
source | snap:wbCCbCLDFGeQmL7FrQZezMYn1KHoVta7_228 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/numba/tests/test_interproc.py |
FileSize | 1099 |
MD5 | 21CB6D7D01172862CDCB2D5D628363D6 |
RDS:package_id | 302124 |
SHA-1 | 00852854FA8DD53D7E26F59C1F0DC0B4178A297C |
SHA-256 | 34B3AE6F60B57EB3D6C3B76554A1D3965236FEB2C5E41700CC5120E1ADC58247 |
SHA-512 | FFE59DF3733C93AC6015DF2BBE2030B1AA33B38CC375DE8EDE884191AA12EC2FBA27D136DBD3213D55FE6A1226BDA940B0778A4DEB03A30D98A25B9EB72E2286 |
SSDEEP | 24:YQ6Xw6G07ogs+ugqENf3n3u3nVqlB+Ad9MtS3n3N3nV5q7paMS:16A6nbs+NqENfOUBZaStMaMS |
TLSH | T1B611AFB461E7DC5962A37E3DB4CBC516E11CFD93845B0128B17E92E46F62120C29586C |
insert-timestamp | 1728981429.1114864 |
mimetype | text/plain |
source | snap:GykkVV3GyN1UDOhApxrHkXPEPZHpbDE0_105 |
Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.8/site-packages/numba/cuda/simulator/cudadrv/driver.py |
FileSize | 899 |
MD5 | 3B21D8E80C3D945A2FD680FEC6225D84 |
SHA-1 | 00AB5DEDD78AAFB16A6EC341AE5E506AB90C676D |
SHA-256 | 4145FED3688066D2AF395DE81EF14F6976C09C95D5B859B346DCF7FA211F34F6 |
SHA-512 | EE955CFD02F7B50F441A68B4D3935E6D8EBC544A413694D1D569AF14AA8767F4806D0D43AE2170585E920E17990A2C3B95004ABDABC545A61783BC1EA2BBD3DD |
SSDEEP | 12:lMvfDgMBL7xQM0MQQMt9U4FuGynEhWha0GrFfkB36bmv4PmZBumyeF2R8:qcMovKiOEhWh3UuCmZkeFl |
TLSH | T16B11904FC9658612A43355D7FD164A23FB5F4A7EC16E2FB87484C591DF001BC94246E4 |
insert-timestamp | 1645179901.58969 |
mimetype | text/x-python |
source | snap:XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_412 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/numba/tests/__pycache__/test_array_analysis.cpython-38.opt-1.pyc |
FileSize | 36989 |
MD5 | D4A2ADD58F790F38144BC9259A197F26 |
SHA-1 | 00F66709FCFDEFDC4D959523D46AEFAA76EFE950 |
SHA-256 | 4A1FEF98C791EB510F7F09DBF03DA24EBB5811B491F373A668C51F566E33382A |
SSDEEP | 768:Jx07EwdK5Y0MTgf3FOMeRnq1kJ8nwi20w8Pt:7Dwg5YnTgf9jkiZl |
TLSH | T181F274AC18D79E4FFC61F2F884784911EA35DB22025A96239611DE9F2F407D93DF90AC |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/numba/tests/__pycache__/test_blackscholes.cpython-38.opt-1.pyc |
FileSize | 3437 |
MD5 | 49FBECC37FC38C34C5C5875B12BEF1C8 |
SHA-1 | 011CEABCB7A7136CA16C8DDEDBAB04D727EBBB58 |
SHA-256 | 7F4DA6928FC94300FEB7E617C96954D07398C81489FA4080A6DAC7D6CF6EED28 |
SSDEEP | 48:NAyU//NhJyBrYq0LDiVDy/mtfsfjfnEN3/SOOetZiixTc4cPc4K9u+BWcRfD7d6X:NAyUjfqieemtf8fENPxZiYiv7cRfD7wt |
TLSH | T1F261B6E0E0038EACFC94F2F9D15601019F9AE25D3382876F2909B1193F8C4926E7728B |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/numba/pycc/__pycache__/llvm_types.cpython-38.opt-1.pyc |
FileSize | 791 |
MD5 | B7F98CE621D4ED80F7031B62567982F0 |
SHA-1 | 014A8160640731B7405F34E228FB3213D907A6E3 |
SHA-256 | 12DA0998C4AC9EAD8B802ADD2699F4BAA860E96E77E2EDAAC2DB34AB23351490 |
SSDEEP | 24:58Y2XimWoolL0JGL2lrHGJU0GiKUVkhrbn:FlocErH7NfUVCb |
TLSH | T1690125074439D534FE89F8B54290863885A131C5D2815E4F5B09DA7DE64F316C4A0E97 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/numba/tests/__pycache__/serialize_usecases.cpython-38.opt-1.pyc |
FileSize | 3709 |
MD5 | 481A60E75B38D581756248A24F015A10 |
SHA-1 | 015B15BC52BE43BB7FD07E9F82B10303FB9EEE41 |
SHA-256 | EDB7CD624A5721191DAEAB0D889B2AB8A9E6D14784873E031D7FDE829A945FB1 |
SSDEEP | 48:mR9UurPaEaPS6hAL9q4d9g0wCbg9HM9Yt0sa6w+mO+pKf+svJhpDnl2qjZSqQG:M9hrhal47RguSt0simus7jVwqEqQG |
TLSH | T1FF71FFD05DC24E5BFAA1F3B401EB86113370D253335E929FBA0CA9BF1F456860969E49 |