Result for 6C0003B278FBC5AA621BEB512351FDBF75565674

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/__pycache__/lazyarray.cpython-39.pyc
FileSize17755
MD58750DE2E3A7D6C96E2BA087C80E6D6C3
SHA-16C0003B278FBC5AA621BEB512351FDBF75565674
SHA-256D66885BC4D20EDFA52F9956729DA48724F33B00AF527F3CF39F325E94730D150
SSDEEP384:QqGfVFIc5uPAu68GlBf0iFlz+T+gzzAgJARm/cSh:QqGfVFIc5uPAuPGlpZlz6tAgJ8mk4
TLSHT11482F9D597800FBEFD47F3FEC05A1A54AA60A172138D9253F00F89AA2F1D6D90A319DC
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
MD5ED032EFF2A70EAE35B94B835DE503F6B
PackageArchnoarch
PackageDescription lazyarray 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) Documentation: http://lazyarray.readthedocs.org
PackageMaintainerFedora Project
PackageNamepython3-lazyarray
PackageRelease8.fc33
PackageVersion0.3.2
SHA-17C7D722BE9E67A5238C92EACABA12E8C0C0C6B7E
SHA-25684159442335CC3B75B2EB3A0ABB44E0AD399EF507E894095F61A1E0B463AB0CD