Key | Value |
---|---|
FileName | ./usr/lib/hpc/gnu7/python-numpy/1.16.1/lib64/python3.6/site-packages/numpy/doc/__pycache__/misc.cpython-36.pyc |
FileSize | 6401 |
MD5 | 68EDD4C16B603E89C2FC43B39907F3D3 |
SHA-1 | 0792DC70D2B6F07497FAFE19A3F94FE2309FBA31 |
SHA-256 | EE157BE43C830C9C70D30B6007E8FF94066D85B1F2E5CA365381FB14DFE67725 |
SSDEEP | 96:PMV6jdkd9KjMuCYctxuV1qT/wFDSDZJj9oyh8vELYfEy8wLRjue0gaZcWYhdji:2d9YuRx418UGjZwg |
TLSH | T173D173262D44A66E7A42C571A65F46A6C739A37BC350308D34EE22A81F46B7F443D3E8 |
hashlookup:parent-total | 2 |
hashlookup:trust | 60 |
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | C8710228F72689CF69636C1F84A6E286 |
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_16_1-gnu-hpc |
PackageRelease | 4.8.1 |
PackageVersion | 1.16.1 |
SHA-1 | DE849615A7AAE0B571E7F33B2AE03DAA93C28A69 |
SHA-256 | A9DFB354642DC54BE8645985B65736AD518AD5DAD93BFD6BBAFEA51F0AE84C6D |
Key | Value |
---|---|
MD5 | 97A4B9D836309D5FF7BB15018893ABBA |
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_16_1-gnu-hpc |
PackageRelease | 4.8.1 |
PackageVersion | 1.16.1 |
SHA-1 | 123D4D5645C08D1EB2024C35E98DC441C60CE9D1 |
SHA-256 | 89D28B0911384CE7D852BE8B469C3A6ED2D012BC8851A2ED70947721F5E75B35 |