Result for 1B789A872F72550A2BFC4CC8AD5162C5552C52F3

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/lazyarray-0.3.4-py3.9.egg-info
FileSize2192
MD5962CC218EA6F9213C06DB1C8E542D9EC
SHA-11B789A872F72550A2BFC4CC8AD5162C5552C52F3
SHA-256173B379241A6A6044BE560C8BD6F374D2531FCC371302EC79A91522022116976
SSDEEP48:Dhvr6zbKCxZK68ykQI/s+OpMn0c+GV0xpi0Vjk4BQI/jEu:DhvWzmQI6O/aek3keQI/jEu
TLSHT14541749723D17BFE1F930587566852C1A59151A3B88A148838AFAD0D5F31FB4863E51C
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
MD520F7982FE36DC5E10350EE416016E2B2
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) Documentation: http://lazyarray.readthedocs.org
PackageMaintainerFedora Project
PackageNamepython3-lazyarray
PackageRelease2.fc34
PackageVersion0.3.4
SHA-19175F83BC235CAF1A7FE705D621046693BE5B687
SHA-25672FD9A13072FD226F560E5F6FAD9DA624D406C7D88DC9F232909FA50FE52221A