Parents (Total: 36)

The searched file hash is included in 36 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
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	773320
MD5	0B251438DFCBD0D471FDBD7FE5B9B407
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	1D00804FA607BA7FEDF3967363439F37267AE74B
SHA-256	E0F2C2BE3FBBCF309922505D4D7256FBAB705EF17E89BE8740DE9417F0166477

Key	Value
FileSize	682920
MD5	ACC78CCF0798FD7B656F0BCB43A25C9B
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	2E38E46E65AA1067E4A6910881B02D97C78CD1ED
SHA-256	501379EDD79A88333ADEDF0C83E6365A93197E45C4FB3F378058921B44254135

Key	Value
FileSize	650200
MD5	165A5BB7AA293C8F04F33A64B0E45309
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	3058CB7C92C8F319B4AEA839DA96C1FBD0B410E9
SHA-256	15FF3B2B8D4EBE32D9D88C9D0EE714CEC04A1AD028143DEC5D806B78140D9850

Key	Value
FileSize	698112
MD5	4EB9F50E31E83946537E239860BDFBC3
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	4DA7B54A970B2320883DA81117505DF31B61B37C
SHA-256	82A8314B4644D6CE6DACCC1CC02B29C37BC8723A4164C3D56842C632FB82592A

Key	Value
FileSize	708504
MD5	E2BB0A6CBB8001ABA6D5E4CFC0D10AD1
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	5148C578896ECF5F7C90C4C0870FECC3B13BDF3F
SHA-256	666ED25916466E9C791AF061C0AD4AB60D54EC67399CD7102C14F755A65322AE

Key	Value
FileSize	752192
MD5	7DDC3DA0FB2052631CD8D6D84F0494E5
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	523223DFDE6186A639C096B6F876BF643D668209
SHA-256	5E2B275352EDCA1A037FAB9EE494316ED13B782D0A3291168F3213C91B666CE8

Key	Value
FileSize	652520
MD5	47517D5FD2EB4E54B7B005FE96968263
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	53A012FA956A6F2DDD2723A356B762D3B85890C1
SHA-256	1D924FFE681C9944179951995F7E3B39DA29DF598D1F49DD7AFB073E7A649A6A