Result for 7702927457BE9A68C7A57D520FDEFC499B3B6B57

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/__pycache__/lazyarray.cpython-39.pyc
FileSize17761
MD5EEF56A858A1B4886A28ADDD7AECF407A
SHA-17702927457BE9A68C7A57D520FDEFC499B3B6B57
SHA-2569CF80261E9FD02F27F6013E743FCDC65D72E385D2711701C14183DA98AFF9503
SSDEEP384:Xy2i+TFltcEv7/8c9v0PFEzfym1kgJbUlo:XFi+TFltcEv7kcFIEz6BgJ8o
TLSHT1DB8209D593804FBEFD59F7F9C04A1254EA2071732685D257B00F88AA3F15AEA0E399DC
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
MD5ECA5963C51C07370619F0CBA38AF8672
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)
PackageNamepython39-lazyarray
PackageRelease2.2
PackageVersion0.3.3
SHA-163293FD2EFFB87C6C0FF335E9A0AE6DE08650529
SHA-25632E1F195E84C1E22BF19A02AF870BCE5BB3DE053462C1B355563DFD261633273