Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	483422
MD5	451B6A6F312AAE98F7CA2A138351259C
PackageDescription	h5py is a general-purpose Python interface to hdf5 HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py 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.
PackageMaintainer	Soeren Sonnenburg <sonne@debian.org>
PackageName	python3-h5py
PackageSection	python
PackageVersion	2.2.1-1.1+b1
SHA-1	A6EE62D33D77E89D7CFBAE2E9409FD94976BD244
SHA-256	B342194B93FC80F1493C7570B7F4F118CB225CEFC4DC61F26BBD3474C352E3FC

Key	Value
FileSize	493810
MD5	73FEC70D6D5D5CC9198D515E539E7A74
PackageDescription	h5py is a general-purpose Python interface to hdf5 HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py 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.
PackageMaintainer	Soeren Sonnenburg <sonne@debian.org>
PackageName	python-h5py
PackageSection	python
PackageVersion	2.2.1-1.1+b1
SHA-1	8ACF012722B63C06E8F8995AA162134F92A8C790
SHA-256	C339A4623BA8FAEA6CF7F7C57ED8617A11711372B9E839D5917CA0D2BCB3EB43