Parents (Total: 22)

The searched file hash is included in 22 parent files which include package known and seen by metalookup. A sample is included below:

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
MD5	2CDE0F9E42728AC81F339DF0430C7481
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.
PackageName	python3-h5py
PackageRelease	2.14
PackageVersion	2.10.0
SHA-1	07B9EA9D580399E7780E40EA0B7ADC1B38D9FE1B
SHA-256	5DE8EA96B4AE1ACFFF78F2CF52032F0964023E1263B9422970297D66A67149A3

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
MD5	BC44662C2F90994F5B7EFEA2C6C8CFF8
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	lp152.2.1
PackageVersion	2.10.0
SHA-1	32B3ECC57C2082B010CEC54EEAA4328593E5C550
SHA-256	BB9BF9D87DCB170679C73CAD14A3F37E9751E45682702A61E33FF70EFBDDD90E

Key	Value
MD5	8F284CFE0B5A4E3B7054A08E50DF96BD
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	lp151.1.1
PackageVersion	2.9.0
SHA-1	424D8590A4AA17384753B66AECF2841D6BCA1460
SHA-256	F58F5915EC0154C4FEAE3A92A96D8DDBD76485456C080802AAC390D850BABD08

Key	Value
MD5	30CDA70A1FA4AF12F602466AD1F3BC75
PackageArch	armv7hl
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	4.fc33
PackageVersion	2.10.0
SHA-1	49CEE5B8631450EC87487E4262EEBED9BCC08638
SHA-256	55542BD2672E5AE224AA73F02E82293000972EBC3643C6F197B0F388BEAB992B

Key	Value
MD5	F1FE797B273B669626856AE92FF9E9A0
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	lp152.2.1
PackageVersion	2.10.0
SHA-1	4B17F027C0FFAD7D853983F4EE3B0CC1881A00EB
SHA-256	0046091A5C410A3F88B62994E4DC14F2A3670D00785ECC9A6855BDECD8154C55

Key	Value
FileSize	187392
MD5	73BDF23091DDA1A47167601DBD0BA4C0
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	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python-h5py-doc
PackageSection	doc
PackageVersion	2.10.0-9
SHA-1	5F8B8C7139C6525915B5E0DAE7F203AC53C0E021
SHA-256	E536066186C6345EB86CC602ABC8085C5CC98B74F7E637648576A17DD7C657EE

Key	Value
FileSize	183232
MD5	E6245B4DE080754614BCC5FA8F9A2292
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	2.10.0-9
SHA-1	6006AAA7732E3F283FC9B3A00E03137360FB123B
SHA-256	5C56E896A9B454DB48062ACEFBC5F5162EBF388D607ED8323576FB2B753DB744