Key | Value |
---|---|
FileName | ./usr/lib64/python3.4/site-packages/numpy/core/tests/__pycache__/test_datetime.cpython-34.pyc |
FileSize | 55070 |
MD5 | 0AA2073F906D11D4373E85588654877E |
SHA-1 | 00EC37E14E6DDF0C2AD79DC8B8292B0C7AAE7B33 |
SHA-256 | B94D279942ADCD1D59DC22283DFEA5A16855A4C9FDDDE9D6AD1A5FDAD69F17D8 |
SSDEEP | 1536:d7CHBO+BXOdlSz+ade2s0pC4tAHfCjXy5Ur2No5C9dzTbhVL7P35T1tkTA/iWwgs:d7CHBO+BXOdlSz+ade2s0pC4tAHfCjXN |
TLSH | T1B333794257D288CFE515A27BEA30772ACEB2F04A7F04679026F1E57D7EC03E85C5528A |
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 | 5B39D23F85BC5D8B6A924610D7F6EDFE |
PackageArch | ppc64le |
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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. |
PackageMaintainer | Fedora Project |
PackageName | python34-numpy |
PackageRelease | 7.el7 |
PackageVersion | 1.10.4 |
SHA-1 | C57669190E1D38925CC5F4D814F7DC87C6C152F8 |
SHA-256 | 83AEB06672570F37D8144BD4B4BC600C16DCF811F351E2777BE3F82F4559142F |