Key | Value |
---|---|
FileName | ./usr/lib/hpc/gnu7/python-numpy/1.17.3/lib64/python3.6/site-packages/numpy/f2py/__pycache__/cb_rules.cpython-36.pyc |
FileSize | 15539 |
MD5 | 1E6F25D46F48D905A2D3CE8FE0163838 |
SHA-1 | 0287AB1BD30A00CF2BC7FEDAA762AC80AA53B6B6 |
SHA-256 | 27C25D6E10117E2649E9A04ACDD16E5B1C80A891E23F8FA833D462863D9F2A4B |
SSDEEP | 192:InEUP8PLQ8biIK1tko4Naa7WqKnKSMYKeOZh6aN8c60bR4Pxxu/sO3ZIvjlxC7Nt:IH84ptJ4Makw8pU/s3KJTeCrv97IVvU |
TLSH | T1FC62087BAED3C253F665FE72C00B621409ACC5D61EAA0CA5D95D02B4BF029C8D33CA07 |
hashlookup:parent-total | 4 |
hashlookup:trust | 70 |
The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | 502EEF541848D57B93379AE5A2258F82 |
PackageArch | s390x |
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://www.suse.com/ |
PackageName | python3-numpy_1_17_3-gnu-hpc |
PackageRelease | 150400.21.61 |
PackageVersion | 1.17.3 |
SHA-1 | 51FBACE96BBFFF92BE3419DE3175D0CAB319A234 |
SHA-256 | BA60A7600A8ADDC0B93A2CFA1D7AC8F04CCBB1AEAE433621940239E9A48A565B |
Key | Value |
---|---|
MD5 | 13238EE338B9C50917D2E438DE8CAAF5 |
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://www.suse.com/ |
PackageName | python3-numpy_1_17_3-gnu-hpc |
PackageRelease | 150400.28.34 |
PackageVersion | 1.17.3 |
SHA-1 | 7E2CAA5DE3EBB518E3B0F86AE8E6017FF7F6060E |
SHA-256 | D5F64E3577AB66B66DD9F4DF207D43289C2C6F0FC678C63171BC39BA68483434 |
Key | Value |
---|---|
MD5 | 10E24F0876B2FF7669B12DCCF0F75E96 |
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://www.suse.com/ |
PackageName | python3-numpy_1_17_3-gnu-hpc |
PackageRelease | 150400.21.61 |
PackageVersion | 1.17.3 |
SHA-1 | 209CF2656A0A7CE25DFF0FEC980B295FF38834CF |
SHA-256 | 90B0CEEF56264BF6771C34ECDAB2275A8C16A3B9515A113DABC6F94FD8C6FB88 |
Key | Value |
---|---|
MD5 | 404635B1C9DC2825E9B1A39FDCD1A583 |
PackageArch | s390x |
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://www.suse.com/ |
PackageName | python3-numpy_1_17_3-gnu-hpc |
PackageRelease | 150400.28.34 |
PackageVersion | 1.17.3 |
SHA-1 | 14AD0B566CBB67FF2F3B0DFE1161737F46C40A72 |
SHA-256 | 96CF013C3609ECB80CF144BC1C693E5F59A58DEE23381ED5ABE070C28F96F322 |