Result for 36FF691DFDE1DC0725F965EE058CFBAE3DB338FD

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/__pycache__/lazyarray.cpython-38.pyc
FileSize17811
MD5C821BCA9914741AB1229289E2B31EFE2
SHA-136FF691DFDE1DC0725F965EE058CFBAE3DB338FD
SHA-25672E2060A327AD1690802F0F9D1D77B4F2DDA214186BC7A2742FB775CB3F82F27
SSDEEP384:fdM7FUi6u4S68Xll20vF+zld6+XWugJjXsI5q8:fdM7FUi6u4SPXlwQ+zlgDugJTsIU8
TLSHT13B82E7D156800F7EFD17F7FEC05A1A54AA20B136138E9253F00F88AA2F1D6E81A319DC
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
MD5EE3FFEAB29D53665A7958D1798DC35F7
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
PackageRelease6.fc32
PackageVersion0.3.2
SHA-195D71AD34017904433F69083ADFA974D50CF0299
SHA-256A43B25AC7BFFC5E4B3AE07F780A6BBF5B2B15417A87C1D42B8CFD714F733CE7A