Parents (Total: 9)

The searched file hash is included in 9 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	7552A96CD8CC50D66596440C836A7804
PackageArch	ppc64
PackageDescription	The h5py package provides both a high- and low-level interface to the HDF5 library from Python. The low-level interface is intended to be a complete wrapping of the HDF5 API, while the high-level component supports access to HDF5 files, data sets and groups using established Python and NumPy concepts. A strong emphasis on automatic conversion between Python (Numpy) data types and data structures and their HDF5 equivalents vastly simplifies the process of reading and writing data from Python. This is the Python 2 version of h5py.
PackageMaintainer	Fedora Project
PackageName	python2-h5py
PackageRelease	1.fc24
PackageVersion	2.6.0
SHA-1	3BC71F6FE22B7166E94302F86EAC6D6839A6B71B
SHA-256	915A22B366E5ED11B3D46D31E3E3963656BC17DB5B7FE2B2078A767562FF5355

Key	Value
MD5	C866EDFE5EB5218BD1FCA322D9223915
PackageArch	aarch64
PackageDescription	The h5py package provides both a high- and low-level interface to the HDF5 library from Python. The low-level interface is intended to be a complete wrapping of the HDF5 API, while the high-level component supports access to HDF5 files, data sets and groups using established Python and NumPy concepts. A strong emphasis on automatic conversion between Python (Numpy) data types and data structures and their HDF5 equivalents vastly simplifies the process of reading and writing data from Python. This is the Python 3.5 version of h5py.
PackageMaintainer	Fedora Project
PackageName	python3-h5py
PackageRelease	1.fc24
PackageVersion	2.6.0
SHA-1	6896FCEAF091756AC9E880FB85F3502ACF1432FD
SHA-256	7310F8B4CF5C05F9BAB2FB4805256367AE088144E0C9800EBF9B580C3C40FFDA

Key	Value
MD5	C1449145ABA0CFA606667EBD29010B92
PackageArch	x86_64
PackageDescription	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	https://bugs.opensuse.org
PackageName	python3-h5py
PackageRelease	lp150.2.1
PackageVersion	2.7.1
SHA-1	B9290586C9326CAB407790CE1863248407887FF4
SHA-256	B85E9B9EB4FC4AE40A7176D471A79EA5AD7BF3883E3A05898187DF0411FC3C54

Key	Value
FileSize	102910
MD5	72CA039A2F3FD36B696B099CD2B7E1B9
PackageDescription	h5py documentation 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 the documentation for h5py.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-h5py-doc
PackageSection	doc
PackageVersion	2.6.0-1
SHA-1	30819439E967584360A405FDB96B73D21E44CEAC
SHA-256	CE97D5595B5BC05A7F0A0AB2028D4C8A84292A56E01BB5CBA5E882D677CEC19D

Key	Value
MD5	8805F69F5DC8C267B0CA4CD9465D6A64
PackageArch	x86_64
PackageDescription	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	https://bugs.opensuse.org
PackageName	python2-h5py
PackageRelease	lp150.2.1
PackageVersion	2.7.1
SHA-1	BDF7DB037025AAA6255FB997C3A4A0EF338EC61F
SHA-256	D04E038543CB1540307AA98C447C0A3A0D7CD6F6E4209458F51AA4E35EDD6B8C

Key	Value
MD5	0B3489637B99091AE77FBAD15EC56445
PackageArch	aarch64
PackageDescription	The h5py package provides both a high- and low-level interface to the HDF5 library from Python. The low-level interface is intended to be a complete wrapping of the HDF5 API, while the high-level component supports access to HDF5 files, data sets and groups using established Python and NumPy concepts. A strong emphasis on automatic conversion between Python (Numpy) data types and data structures and their HDF5 equivalents vastly simplifies the process of reading and writing data from Python. This is the Python 2 version of h5py.
PackageMaintainer	Fedora Project
PackageName	python2-h5py
PackageRelease	1.fc24
PackageVersion	2.6.0
SHA-1	FDE9E53167AEB15C1556C72468C0442DCFCE1F97
SHA-256	259D6B388F064B3D0110038CA3150AD599874A15A1118BB8D4559EB3D30D7596

Key	Value
MD5	4B8FF25F1475638002851F2AA00D8BCF
PackageArch	ppc64
PackageDescription	The h5py package provides both a high- and low-level interface to the HDF5 library from Python. The low-level interface is intended to be a complete wrapping of the HDF5 API, while the high-level component supports access to HDF5 files, data sets and groups using established Python and NumPy concepts. A strong emphasis on automatic conversion between Python (Numpy) data types and data structures and their HDF5 equivalents vastly simplifies the process of reading and writing data from Python. This is the Python 3.5 version of h5py.
PackageMaintainer	Fedora Project
PackageName	python3-h5py
PackageRelease	1.fc24
PackageVersion	2.6.0
SHA-1	C7B83F863CC17F2C5D993C8542D90BD6890D9456
SHA-256	7A5EAE920A41CADE84515B82B1782427F9D87AF32B1C2011C94C6D52FC0EB45A

Key	Value
FileSize	165690
MD5	839FF78FF0F2F00CE78312D85885ADBC
PackageDescription	documentation for h5py 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 the documentation.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-h5py-doc
PackageSection	doc
PackageVersion	2.7.1-2
SHA-1	FBF512DCC2B7672E6767A44099B15B23A283AB7F
SHA-256	8FD1016A9C2877F30FB42E84E9880AF93DD4AC345F44AC7F493C68BD31549248

Key	Value
FileSize	114670
MD5	4D6D2A3636365432164C08E012E3AA0D
PackageDescription	h5py documentation 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 the documentation for h5py.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python-h5py-doc
PackageSection	doc
PackageVersion	2.7.0-1
SHA-1	EE8792E2B51F1197B067F2216D2684CF963F9832
SHA-256	6BDA0B50BEEA5690E172B26E9AAB2F412EED3C39C036C0B2F097795146817F6F