| Key | Value |
|---|---|
| FileName | ./usr/lib/hpc/gnu7/python-numpy/1.16.1/lib64/python3.6/site-packages/numpy/distutils/fcompiler/__pycache__/mips.cpython-36.pyc |
| FileSize | 2269 |
| MD5 | E437C913661FBE0DEF4D3C68BD4BB8C5 |
| SHA-1 | 00322DC6CD77A58E264C93062FBA58EBBC917B67 |
| SHA-256 | 77AF9D99EB8C3507C03C457D31F6A925232E268E0552D5D8F4079C875AFDAFE5 |
| SSDEEP | 48:equzITekVXVttwoWtobOQ2+/zrUwznBiqlqsLToBEGBV6s:eZ4/ftbOoAwfL6sfe |
| TLSH | T1804141B9068CAD9AFB05B7F547147112B7E4E3818FDC25030A01914DDFED5CA04BB89A |
| 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 |