Key | Value |
---|---|
FileName | ./usr/lib/hpc/gnu11/python-numpy/1.21.4/lib64/python3.8/site-packages/numpy/distutils/command/__pycache__/install_clib.cpython-38.pyc |
FileSize | 1658 |
MD5 | B768DE62757D53F82F8928F3297A84E5 |
SHA-1 | 00D99B0823A449DCF41BBF5F4B929A68F642C7C1 |
SHA-256 | 4AB96BFAF58166D055A23E3542B9F850C0EFB78F5BFE37DE01C2BF94376C6841 |
SSDEEP | 48:tMAk3vc/jEQooAH0gBjvfqqs59l0jOShrWIf3ZZq44qqgM4GBwqq0:yAk3vIJoMgBjvSqs59l0SIrFf3ZZq44n |
TLSH | T1D83120D4830C6EA9FEF9F7FC5027052495F1CBF693CB60630AA21616AC871C1867B446 |
hashlookup:parent-total | 3 |
hashlookup:trust | 65 |
The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | 686493BA20D3098543A7DBA95ED4D34C |
PackageArch | x86_64 |
PackageDescription | NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. |
PackageName | python38-numpy_1_21_4-gnu-hpc |
PackageRelease | 109.5 |
PackageVersion | 1.21.4 |
SHA-1 | 0043E3D4C154C85F7AE6B944C9EFBF461C42B54C |
SHA-256 | 22BDBC21F5D6C15184DE01DD2D2309BED6FC6B93A072F43D07DFFE77F3B1B144 |
Key | Value |
---|---|
MD5 | C4A2209ECB56880EA930A7023A366D09 |
PackageArch | x86_64 |
PackageDescription | NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python38-numpy_1_21_4-gnu-hpc |
PackageRelease | 2.2 |
PackageVersion | 1.21.4 |
SHA-1 | 303A6F140D06DC920DCD1029CC9FC834CEC42C85 |
SHA-256 | FC4571C72266BECB9C29552F9D3436C164379D56D2A72C107B6A2B4A739C307F |
Key | Value |
---|---|
MD5 | DD4D05A51124D9DA3A603479D800CCF3 |
PackageArch | riscv64 |
PackageDescription | NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. |
PackageName | python38-numpy_1_21_4-gnu-hpc |
PackageRelease | 4.1 |
PackageVersion | 1.21.4 |
SHA-1 | C7C7A89805A7E0EEF3EF1448466F05B2F5B77C50 |
SHA-256 | 5402B497D26DC119D11B7180452A6ABCA83752089E2ACD1D559B381AB1E03AF8 |