Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/numpy/distutils/command/__pycache__/build_ext.cpython-36.pyc |
FileSize | 12479 |
MD5 | BB843CA24D0D5E7A5E9FE0EEBB241243 |
SHA-1 | 01F1993C07210B1192BAF477D572BC5B68309DAF |
SHA-256 | E3D228E80593BC6C417E836BEC974A9E5C0CE86FD008EB3B3D0F7BD14A9A32AB |
SSDEEP | 192:UW6UNk+0cCQS8deySHLAs1J7EFb6RjWPIb3VLLS4Q+xlPI5RAyBoDuUZG86mN:UWTNk+JCuebsuYb6RjFlS4Q+CvBxz86w |
TLSH | T1A742E6EE070D5C56FEA5F3F4A9A806C3DEB4D76853C47175808082A58CC20F956BAEB6 |
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 | 2BE9CA3D1F01BB7427702BB0E86396D7 |
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 | python3-numpy |
PackageRelease | lp150.2.15 |
PackageVersion | 1.14.0 |
SHA-1 | BBCD96931D09BDA3BD0D67ADECB38E1481702E99 |
SHA-256 | 21902A891DAB605CF3A2BAEA9FC60D92582B7849465A3D276CD4E47AF74298E4 |
Key | Value |
---|---|
MD5 | DA9D4777E71678357B25733010AD3225 |
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 | python3-numpy |
PackageRelease | lp151.4.14 |
PackageVersion | 1.14.0 |
SHA-1 | 9F3454F77FA8EBD648D15BC4721A2619ACA6DB36 |
SHA-256 | 778E0A0422DB328744C9DF6CB51FE5E9D1869268DF31BB71EBDA3FE0A5755EA3 |
Key | Value |
---|---|
MD5 | 8733789612E5801D49E02B65B1FDD4C7 |
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 | python3-numpy |
PackageRelease | lp150.1.49 |
PackageVersion | 1.14.0 |
SHA-1 | 0ADFBB676206CDA971C8897EB4222969B77E7515 |
SHA-256 | 970E564BEF04C7D172092CCB3DAB55CF24EB9C8B13705EB36BDDBD55A51CD4CF |