Result for 034B67DDD17AA258E8C315F4B82EABD894743DCE

Query result

Key Value
FileName./usr/lib/python3.10/site-packages/h5py/tests/__pycache__/test_dtype.cpython-310.pyc
FileSize17099
MD5C5D564125C2F0F8F1E8C541296D09B32
SHA-1034B67DDD17AA258E8C315F4B82EABD894743DCE
SHA-256C8E98D5AC8C6EDE5785A66BB3A409D4261BD5ABDF86039A201BEE261A2ECFEF7
SSDEEP192:fSntMBJCAOnOCkXsgfi2ipBi57KZrAgsQphjEoDvmsJ8yCLDk+0NR:fS5AOnqXIpBi5eZreQphlzJ8fDdUR
TLSHT1D772D5EBB4172D5BFF54F3B9122A73413666F3990B48A2936600726E4FD83C816F5398
hashlookup:parent-total3
hashlookup:trust65

Network graph view

Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5691976900906E20A35670712F5E11B42
PackageArchi586
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.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython310-h5py
PackageRelease1.4
PackageVersion3.4.0
SHA-1398CD295AF77FE99EC8425A0DDDEF29367DA9E5B
SHA-2565FDBCC6436AD08A46508E83AA625A17F24B67869BFA1AE477FA20B2379944218
Key Value
MD5C8629C0F43B521F1207392FF16688385
PackageArchi586
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.
PackageNamepython310-h5py
PackageRelease38.17
PackageVersion3.4.0
SHA-104B3809FDEA0544683798D4031F54CDADD186C68
SHA-2567D15ADF279BD2E46584E21EA0B9A8576976C1DE3E66ACB1A62B8C067F64DB239
Key Value
MD57EDAAEB6237B96B484DE4BCB85B860E9
PackageArcharmv7hl
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.
PackageNamepython310-h5py
PackageRelease38.22
PackageVersion3.4.0
SHA-153D305B8D0E5D9C3608A0BEB703A934521F39549
SHA-25671F6BFB9D391D0B32B96C7700901B567344F389A93FCB3C193AF25F00F63FFA4