| Key | Value |
|---|---|
| FileName | ./usr/lib/hpc/gnu7/python-numpy/1.14.0/lib64/python3.6/site-packages/numpy/core/__pycache__/setup_common.cpython-36.pyc |
| FileSize | 10337 |
| MD5 | 8617A5F4730542C3539B4B04E2DFC878 |
| SHA-1 | 06D8B23D7A7AA457756DB97BA1443C80F6026505 |
| SHA-256 | 36635E74E854C82D1FCAABB1E9D301B7DEE5C049DE82C49446856C8AA6AC79C6 |
| SSDEEP | 192:xxjRE0TCdECEbAGnmqG8NrgNYVqdqh9KPDq5DMkKPa8ebcqAmYyTqMre/qPtzqDP:xxK0TCdECEbAGntNsNsqdqHKPDqJVKig |
| TLSH | T10E220AD828892B57FD78F3F993662614B724E0AB13489263F51CC1D96F42ACC0D754EE |
| 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 | 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 | 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 |