Key | Value |
---|---|
FileName | ./usr/lib/hpc/gnu7/python-numpy/1.14.0/lib64/python3.6/site-packages/numpy/__pycache__/_import_tools.cpython-36.pyc |
FileSize | 9810 |
MD5 | E30B944E30C6DE984CDE9FDE23FEBFAC |
SHA-1 | 06BB61D5091D84EBED93AE67FB124E09229D3D12 |
SHA-256 | ED6647AF9D7B860B436CCA9C845CD3D8EABA08479C3DECB25A10C37C8A6F2AD7 |
SSDEEP | 192:dwhrE7vMWhREtLwcZq5A7Tq51P606ENBpZA9/ap/indcj/inCIBPylSz7fjn:dkQrxREtUx1P606ENB09/ap/inda/inx |
TLSH | T16E12F8C65E848F1DFC48FBFAB05A4220EEA9F15B3345D2D2310C919D4F8189A897F5AD |
hashlookup:parent-total | 5 |
hashlookup:trust | 75 |
The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | CA15D40EC5A77F93121F8B389C035AF5 |
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_1_14_0-gnu-hpc |
PackageRelease | lp150.2.15 |
PackageVersion | 1.14.0 |
SHA-1 | 3E865217074D64FBDC2BBB33460990CDD16F097C |
SHA-256 | 9A1FE605286A48B8BB21EB1ED32CBB01B84AD254951CA64D80D74D7010E3DCF8 |
Key | Value |
---|---|
MD5 | 966F03137AEF5DFD4D59797CA3C4171F |
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_14_0-gnu-hpc |
PackageRelease | 4.5.1 |
PackageVersion | 1.14.0 |
SHA-1 | 2C6E9860C61F8632DB634DF7DA5444B406C68CC5 |
SHA-256 | 987477DB6F9C43A2614FDDD1D717093755DC21D3F97A73D5030771D54E116635 |
Key | Value |
---|---|
MD5 | C90DDBA2671A4AD6984AD06CA10E247E |
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_14_0-gnu-hpc |
PackageRelease | 4.5.1 |
PackageVersion | 1.14.0 |
SHA-1 | 96C8A9379D420F8C933A35647B3C916890FC332C |
SHA-256 | 952C16F21CEC4AE69E994F50CA95FA4507EA983A5711B395744A9F993B11AE7F |
Key | Value |
---|---|
MD5 | BFFD0C71E482A52AA938A1A9225EEBDD |
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_1_14_0-gnu-hpc |
PackageRelease | lp151.4.15 |
PackageVersion | 1.14.0 |
SHA-1 | CFFCDA1EE7A77A3A3896D0C211D7EE2C80E64D99 |
SHA-256 | 74C7F127792395843280ED287DF2A81F7AA97F08E3C74D645CC85A65B8251235 |
Key | Value |
---|---|
MD5 | 98CE6269F7C957E2B3D22A5128F4C103 |
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_1_14_0-gnu-hpc |
PackageRelease | lp150.1.69 |
PackageVersion | 1.14.0 |
SHA-1 | 0897E527E1F17BA32F729CCDC0C95D71132F0E35 |
SHA-256 | DC53FE0B0C962514D8338F2013736F7CE7D729A9AA3D6E85E659145E0C034D91 |