Result for 08477D8EC7AB4042BC43E87232312680C628866E

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/h5py/_hl/__pycache__/selections.cpython-38.opt-1.pyc
FileSize17670
MD5D512572EB6D1BA7C3A73EF620F3D9855
SHA-108477D8EC7AB4042BC43E87232312680C628866E
SHA-256ED3180A075173AB3671C6A1D553B89FC6B359DA4C5EF6A6490AC7650EF1B5B89
SSDEEP384:pSIQxXqHHXlmyANkTYdzfTsvsjI6ffJzX2V37GGOC4Me0Db0wuPbH4DW:+XqHHXlhA6TY9Tsv8tz837XOCQ03VuPF
TLSHT15A82E79565A03ABEF86FF0BF84DF1282A635837F1344C109346EF06D1F59AA3643619E
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