Parents (Total: 49)

The searched file hash is included in 49 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
SHA-1	0265167C71D611D4025F842F2EDE7CBAA0AA8A89
snap-authority	canonical
snap-filename	EE5GWu02z0YpTc00nobuYaTnsYOWA7ZQ_4.snap
snap-id	EE5GWu02z0YpTc00nobuYaTnsYOWA7ZQ_4
snap-name	epitopepredict
snap-publisher-id	wKNkmne29sQR93F3D0N6GFAFqfyv9hpz
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2017-09-18T21:52:25.816561Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/EE5GWu02z0YpTc00nobuYaTnsYOWA7ZQ_4.snap

Key	Value
MD5	8700FFBFC2FE461D80EE216E0DF76A15
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.
PackageMaintainer	Fedora Project
PackageName	python3-h5py
PackageRelease	8.fc32
PackageVersion	2.9.0
SHA-1	04CAFB2C62B100FAE2DA3FF492F87C105F176BC4
SHA-256	65E3B1C31F35D52A05017DC6206781A1540F2F68AC186E66FAAF23F3F9AE97AC

Key	Value
FileSize	601580
MD5	818C252B09DD520BE29F0BD9C1DB78D9
PackageDescription	general-purpose Python interface to hdf5 (Python 2) 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 modules for Python 2.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python-h5py
PackageSection	python
PackageVersion	2.8.0-3
SHA-1	0A7731E531860283B0B8DF8ADCF8981A97AF5CD1
SHA-256	F3B00B0F2859DBA3DFA63946995053AE4DFE1F6F26FE9F489306811D0EC56CC4

Key	Value
FileSize	692516
MD5	1205ECD894593438350BDA7BE356C32B
PackageDescription	general-purpose Python interface to hdf5 (Python 2) 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 modules for Python 2.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python-h5py
PackageSection	python
PackageVersion	2.8.0-3
SHA-1	119A4CFF2013818B7E70A17FC875C66B01A58C79
SHA-256	E1B4A5AF87D8BF314976CDDCF1467D5E03E3C2AF781FAFB04E9D68CEA930AECC

Key	Value
MD5	8B8D939C8CA7BE39E726F5E3775A627B
PackageArch	s390x
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.
PackageMaintainer	Fedora Project
PackageName	python3-h5py
PackageRelease	7.el8
PackageVersion	2.9.0
SHA-1	1392B6653FD23DA6140B8B1F81EA18887CDB4BB2
SHA-256	12D7C0DD037F9F99533F216A1045F429289102827ECCC8894F6A795BD4601663

Key	Value
MD5	44FA8473561C609169BDB6A0C96BA097
PackageArch	x86_64
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.
PackageMaintainer	Fedora Project
PackageName	python3-h5py
PackageRelease	7.el8
PackageVersion	2.9.0
SHA-1	15D097245466801D615C5EDBF3C980BF770614BC
SHA-256	B9CC8A257D8F96DB6C12ADF291EA7981FE1D7FE819495A9BE6DA4412F1816830

Key	Value
FileSize	680492
MD5	985F13E7E4495417C02F44D0D04B1CDC
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 the modules for Python 3.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-h5py
PackageSection	python
PackageVersion	2.8.0-3
SHA-1	23ECF66E5EF74B568B0DC3AC62E10904ED043685
SHA-256	CDC2736A9D7741727ED5787025333E47591F688A9A5C46F45DCC14CA4FBC6D02

Key	Value
FileSize	595128
MD5	624F93A708B29AA120785E666522F91C
PackageDescription	general-purpose Python interface to hdf5 (Python 2) 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 modules for Python 2.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python-h5py
PackageSection	python
PackageVersion	2.8.0-3
SHA-1	30F5458013005466C321C5E084569C7F3229F9F9
SHA-256	E8B69938CBCDE5A629140390E29DC597F28C7C91442B741BCA03557C5416CC77

Key	Value
MD5	8935DB3DFA72296D3964EC606E378FBB
PackageArch	x86_64
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, datasets and groups using established Python and NumPy concepts. This is the Python 3 version of h5py.
PackageMaintainer	umeabot <umeabot>
PackageName	python3-h5py
PackageRelease	7.mga9
PackageVersion	2.9.0
SHA-1	3793E6D5F8D587E781C9802AF4F44C5DADD79ACF
SHA-256	E6E4328AFDF5A516A7CC5B17BB905643585A16525505BDFD666C662E41936C3B

Key	Value
MD5	7F540DD5CD82B36B37FC94E6013AC58F
PackageArch	x86_64
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, datasets and groups using established Python and NumPy concepts.
PackageMaintainer	guillomovitch <guillomovitch>
PackageName	python2-h5py
PackageRelease	1.mga7
PackageVersion	2.9.0
SHA-1	39E270FB974219375133C24EA7A6259DC35D7018
SHA-256	E86276E138D2BF6691769D6C04B4D4738AEA3308391AAD4A9F2D94E4E704A4C9