Parents (Total: 20)

The searched file hash is included in 20 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	457142
MD5	61089C2126E054DC9E688755F0CC30B1
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	27CD2D6FA454BAB374F4309AA8529218E66468A7
SHA-256	564838FFDFEA9D95701D42D45E73926EE64BC2FF68888955F3966C717C1C7359

Key	Value
MD5	7B6A3310EDD61E9A72FB0D600E5CCB58
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	h5py
PackageRelease	1.fc20
PackageVersion	2.2.0
SHA-1	2CD9CEF5E730A0680E216D7C5A89E2B80F4B2198
SHA-256	3C411C37B12132D139CC4CC40A076E5F592B24691E1B5CEFE3D9B8C7A29CA189

Key	Value
MD5	1B6DEC889D4CC2F498E8E94511AC65BB
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.
PackageMaintainer	Fedora Project
PackageName	h5py
PackageRelease	1.fc20
PackageVersion	2.2.0
SHA-1	369D761F40EF2F8BDD7A59F3AE1187F0C2BF7D33
SHA-256	D7126DBA54F402C7D6FDA7743197ECB7048B22445E6442421D2C74571A948AEA

Key	Value
FileSize	501922
MD5	53AD53ABD8C4A47F1904546BA94B11F4
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	3D7D0D4E8C38A2C49C2CCCD0789CD37139B6ADF6
SHA-256	90A4F1E5A385F80A2BA43333120D93EB68E0B3BC59C904ACCE6139148259540A

Key	Value
MD5	A4B81AF137ABAD9DEBBE27A04653E615
PackageArch	ppc
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	h5py
PackageRelease	1.fc20
PackageVersion	2.2.0
SHA-1	405673598F370AD76600CE118B6342B8348F4A9E
SHA-256	77F964518DDB1E6EC27B3C4861C24D5A0346236841C6FC391638D11247C05882

Key	Value
FileSize	511422
MD5	B5D190703D0DD2F6CC40110632D488D0
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	4D5AA7846DBD657880790C2F621AF350340442CF
SHA-256	16CF3CCF1E3B7D931FBCB3C74C30484C4EB55229626BB807CC43572DDD0A66BC

Key	Value
FileSize	432322
MD5	9F09E19B94B5AC2B018E79FFF2D70BE0
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-h5py
PackageSection	python
PackageVersion	2.2.1-1build2
SHA-1	580736E81F956E0229A5B535983D548306968915
SHA-256	B12AADE15E88C277D96AAA0B8B8E5FE1F05726A1AE2DFABA1D91ADA07CA3595D

Key	Value
FileSize	449678
MD5	5241DDAEEA8584C0C9E4955FA3CD58CF
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	65CCF44C7A739FC38B2F9AF1114C2645A8A5FD09
SHA-256	92B8C01BE56F9C55C9A46D5D5833322C445E437DAA652D600739A966860F4AE4

Key	Value
FileSize	479484
MD5	87FBFFEE0640D45CB9B448C13388100F
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	7191F181458EF97ED5A29660C6FF8F2A5E0450AF
SHA-256	7A9849590567D7FA6DF8555FB72DFF80EAF6241EAEEE63CEA9033F15F52DCCD9

Key	Value
MD5	75EFE601928F2E68961CDBD744818FC6
PackageArch	ppc
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 version of h5py.
PackageMaintainer	Fedora Project
PackageName	python3-h5py
PackageRelease	1.fc20
PackageVersion	2.2.0
SHA-1	743579D2C539F63686B04A44607DDDEC098F5230
SHA-256	A3197DCBB713FA167690FF40B60E58759DE4415DE9413491DD33C04C5DB10C6D