| Key | Value |
|---|---|
| FileName | ./usr/lib/hpc/gnu9/python-numpy/1.18.2/lib64/python3.8/site-packages/numpy/polynomial/__pycache__/chebyshev.cpython-38.pyc |
| FileSize | 62792 |
| MD5 | B114A0B26C3E5C930BCFC33E26F29040 |
| SHA-1 | 030B2FDB50BEDB90087FBCB07A0AAC6CBE3E9E87 |
| SHA-256 | 5125CD809B4596507D521DA5821E8BA8BE8B5AA7A16628FAE1F7691E7A8BE831 |
| SSDEEP | 1536:7LhIM6hA+fWGEUb/ypAnZnrRsY8Gg28zKwpM/Jn3TSJHPp67U+QeZwmr:5cHySAOU7Fa |
| TLSH | T1F753D71ABD843777A253D1F6A4DE4083E72084BF6691242434CE513D2F23E3567BDAAE |
| hashlookup:parent-total | 1 |
| hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| MD5 | EC4D5A4C78C9ED08C28CC5DE15F87652 |
| 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_18_1-gnu-hpc |
| PackageRelease | 2.1 |
| PackageVersion | 1.18.2 |
| SHA-1 | 0FF8330F54D03E7E668553D23FA597AAC93E0B0A |
| SHA-256 | 94C4BDC993E0A926682A24902C5D15DDB19A1D0BBD2B75B7579BBE3A54DB6633 |