Parents (Total: 253)

The searched file hash is included in 253 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	696792
MD5	807C23EAAB07BD3CF1C7019559D1E03C
PackageDescription	general-purpose Python interface to hdf5 (Python 3 MPI) 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, built with support for MPI (multiprocessor) jobs.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-h5py-mpi
PackageSection	python
PackageVersion	3.3.0-3
SHA-1	007E9257BC0111FB567689DB730E663A307CA62E
SHA-256	8DFE70D1DF2FED5F71188AE77EB82788F27379C010AC6EFC0D00FEF778B1E77C

Key	Value
MD5	D338C26F882782FDE5EE3930045339A8
PackageArch	s390x
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	python39-h5py
PackageRelease	37.1
PackageVersion	3.4.0
SHA-1	01E7B57CC9A1EC91B7B6159A74F72839FCC47C15
SHA-256	3E823482F36FF43240C7313B38F0C318C3EA44BBD807543CCA900021E20E5505

Key	Value
MD5	232D1115B001CD78C63416BC19EB69A4
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	python39-h5py-openmpi4
PackageRelease	1.3
PackageVersion	3.4.0
SHA-1	02C02F297B214ACCF1F52AE00673B7AD20EEE0E8
SHA-256	236AB73DA76CFF3D169148B8A1975A120D6B1F807E89E0CBFA959BF7DC790E27

Key	Value
MD5	C8629C0F43B521F1207392FF16688385
PackageArch	i586
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	python310-h5py
PackageRelease	38.17
PackageVersion	3.4.0
SHA-1	04B3809FDEA0544683798D4031F54CDADD186C68
SHA-256	7D15ADF279BD2E46584E21EA0B9A8576976C1DE3E66ACB1A62B8C067F64DB239

Key	Value
MD5	0EE5429DE94810C9C21154A89436AC6B
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-openmpi4
PackageRelease	bp153.2.6
PackageVersion	3.1.0
SHA-1	0516AC4A2EEDECDDF3812F0BD8308995105383D5
SHA-256	D5D373E59A2FF6137F7B729E75A473FF2EACA5AB80F672D17CFDE1915EF77E3E

Key	Value
MD5	6E77C313DFA950CC8316E92A29D92C45
PackageArch	i586
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	python310-h5py-openmpi1
PackageRelease	38.22
PackageVersion	3.4.0
SHA-1	0673A9AD23025C3C41AB922B421CC5F0B3BA734D
SHA-256	09443D5643A2245067C1953898C725AC224234594E5CF0DECE838643912E484E

Key	Value
FileSize	790740
MD5	CE5C6DCDAE1C9BA70AF69AC30F069ED4
PackageDescription	general-purpose Python interface to hdf5 (Python 3 serial) 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, built for serial (single processor) jobs.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-h5py-serial
PackageSection	python
PackageVersion	3.5.0-2
SHA-1	0882C39B223AC5ED0D6C3DB96B4B4134FD9C32C8
SHA-256	6A661BCCB66059DB3FCA290EF93456144C20CD0A07C995296402F595BC46FCAD

Key	Value
FileSize	691020
MD5	FEAF4D1E33059047510EEA2C09739C93
PackageDescription	general-purpose Python interface to hdf5 (Python 3 serial) 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, built for serial (single processor) jobs.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-h5py-serial
PackageSection	python
PackageVersion	3.3.0-2
SHA-1	099D94C5CC92DD45A7500B2C8EEE2D9106BF4B5F
SHA-256	77A5FD79E474B5DD0AC504B3836DE43E443B3B6FCEA8966802C3CAA33708F262

Key	Value
FileSize	644376
MD5	93C9C06C76A787126D4CDB399D9561DA
PackageDescription	general-purpose Python interface to hdf5 (Python 3 MPI) 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, built with support for MPI (multiprocessor) jobs.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-h5py-mpi
PackageSection	python
PackageVersion	3.3.0-2
SHA-1	0B5E2C76EE815F84CED2D1F344F789D0D954CB62
SHA-256	4470F91795CC5365A04ECBCDD3180D5FAEF99C070F56C9B29E6A6D26D240F6D7

Key	Value
FileSize	710532
MD5	356EAFC3EBA4C23CACFF884DAC99FE10
PackageDescription	general-purpose Python interface to hdf5 (Python 3 serial) 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, built for serial (single processor) jobs.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-h5py-serial
PackageSection	python
PackageVersion	3.5.0-2
SHA-1	0BFA2107914F4649D0BC59310E534DBF2F21EC1A
SHA-256	2E0173496E57E4FCF4CE95B8C2FE252E8D43710DC8C04C5A77C2D42D98863913