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
FileSize	494772
MD5	BB9B5B7FC1D27AAB13CD4259CD98B1F5
PackageDescription	general-purpose Python interface to hdf5 (Python 3) 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. . This package provides h5py for the Python 3 interpreter.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-h5py
PackageSection	python
PackageVersion	2.6.0-1
SHA-1	1F595459914A5545B690EBECB07CA96B9E68195E
SHA-256	3242C63CA0AAE313CDEB7678E5644C0CCB4DA057A34F6815D5E89B66A90ED95C

Key	Value
FileSize	487682
MD5	FE5F10A092B6329082B6B30AB363562B
PackageDescription	general-purpose Python interface to hdf5 (Python 3) 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. . This package provides h5py for the Python 3 interpreter.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-h5py
PackageSection	python
PackageVersion	2.6.0-1
SHA-1	D83015AEFE1EA863AC0D79557CA56579D0BB3E1C
SHA-256	62C5CABF42034888F2F0318A25C816A814A7DA041C21D643546410C7D8CFBE60

Key	Value
SHA-1	A958CD234B1C982240814A232110951775738CC5
snap-authority	canonical
snap-filename	pq7MC1sVCMiuMfdjJLEPTa4dxvDLLylM_31.snap
snap-id	pq7MC1sVCMiuMfdjJLEPTa4dxvDLLylM_31
snap-name	adversarial-robustness-toolbox
snap-publisher-id	ikeehKThvtEGIeBcIePmqxwpWzkLlIYu
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2018-05-24T02:30:42.136829Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/pq7MC1sVCMiuMfdjJLEPTa4dxvDLLylM_31.snap