Result for 03E9D34850B90743D040F0F3229B5F04E3259455

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/h5py/tests/__pycache__/test_base.cpython-38.pyc
FileSize2954
MD53917D572F94F54C797674BCE613C45EA
SHA-103E9D34850B90743D040F0F3229B5F04E3259455
SHA-256EDF065667B006D84C2B66537B63BA00825B891E6D620DA0EF3F785702056AADA
SSDEEP48:7J0nFWp5i4WdMRG6xnoHZJcQlcMna05ST/i1TZFliTT6IbTXcZzt/tc7:d0gXhlO1lrnhCmZ326IfXcZt/k
TLSHT1F95193D2C042AE56FDF7F3F8D2BE25129925C33B664A9625AE88D03F1F5C2C138B1149
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
MD52CDE0F9E42728AC81F339DF0430C7481
PackageArchx86_64
PackageDescriptionH5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name.
PackageNamepython3-h5py
PackageRelease2.14
PackageVersion2.10.0
SHA-107B9EA9D580399E7780E40EA0B7ADC1B38D9FE1B
SHA-2565DE8EA96B4AE1ACFFF78F2CF52032F0964023E1263B9422970297D66A67149A3