Result for 10B30AFD7D4921756D328A9E05574050907610DB

Query result

Key Value
FileName./usr/share/doc/python3-lazyarray/changelog.txt
FileSize3035
MD5A8B5CF23F8F7DA9B7EA50F0B8A475379
SHA-110B30AFD7D4921756D328A9E05574050907610DB
SHA-2560A47CB2F7E54ADA90993DB3CD93AFD92A70803D8D68EA16B6CBD6EB00C2F89DC
SSDEEP48:f5xajb43B/DQNMG0Cao8z+b9eVCLGGrfAB7fvmG1RvquEj9D:7ajWtENMGLazz8QChoB7fvmGij9D
TLSHT1F051552AFF6F377A176404E6D21832C6DF14C1687BA1B169805FA8E1222777D423F06D
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