Key | Value |
---|---|
FileName | ./usr/lib/hpc/gnu7/python-numpy/1.14.0/lib64/python3.6/site-packages/numpy/f2py/__pycache__/capi_maps.cpython-36.pyc |
FileSize | 18064 |
MD5 | C6090EFBE005B84D61AB0E2B51A505D7 |
SHA-1 | 03296EAD3A7E8D75ACB62E5BD28EA0E9E3514F7A |
SHA-256 | 569A081162866CD866BA0E2546DCAFAE8C4746D154DC7479E30250E49D04666F |
SSDEEP | 384:yNZTDfTNUGDq899KIJo3RtmzPXdCTt0exieyB0GQH9Y:yNZTDfDD2cSRtgPITGexieyB0GQH9Y |
TLSH | T1A3823BCA0DF01576FC66F1F8F281000C4A2CB6FF6BC4D1A0642662955E977C5A678ECD |
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 | 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 |