Result for 03DA9D9B6FFA4537273A6FAF36BE063D406C9F3A

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/h5py/tests/__pycache__/test_h5p.cpython-38.pyc
FileSize4165
MD5F4CAB4A4873FE6B44A4CBA7A883F40B1
SHA-103DA9D9B6FFA4537273A6FAF36BE063D406C9F3A
SHA-256B9EC38D7D7A4B6C787A529CEB0B48FF920C737D7B0829261A39F5482A14B7AA1
SSDEEP96:PQhE9xfN3FNSLq6FvNtD0r06j/ob0CwPX0dc0X9MWHJi6:PZ/r6Zs1j+osDHJ/
TLSHT1318142CFA845AD3EF9A6F6B6F4B903109361C30AAA5CD933B94D401E4F143872FA1785
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