Result for DBE8AB01580928C9A3F25A3FDD85C3D995217C3E

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/lazyarray.pyc
FileSize21215
MD5D5B7F1F2C76E6497F928BCCA85F83DB3
SHA-1DBE8AB01580928C9A3F25A3FDD85C3D995217C3E
SHA-256A1F76AC26791A8A8B0853F0FEB078CE4DD62E9A2772311F8CBD7942536B90E9B
SSDEEP384:YNZYn9o7g+09oVUatFZLfG/9CR50wUJyGp46RvH97cFh:YNZYn9+g+02htFZLfG/9CR50nJj4eHF4
TLSHT197922F80B3E5467FD5988531A1F0225B9EB6F0736202378136BDE97A1FA4766C53E3C8
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

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
MD5FBC11C82E2576DDEFB837C0A633CF0AA
PackageArchnoarch
PackageDescriptionlazyarray is a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays. Lazy evaluation means that any operations on the array (potentially including array construction) are not performed immediately, but are delayed until evaluation is specifically requested. Evaluation of only parts of the array is also possible. Use of an larray`can potentially save considerable computation time and memory in cases where: * arrays are used conditionally (i.e. there are cases in which the array is never used) * only parts of an array are used (for example in distributed computation, in which each MPI node operates on a subset of the elements of the array)
PackageNamepython2-lazyarray
PackageReleaselp150.2.1
PackageVersion0.3.3
SHA-123980225591C34E7437B479AC9BB8A05081BC9CF
SHA-2566C0F8E05583A7653886DE4833CB5245BE6FB7020529777FE63949F9FCCF8346D