Result for 02D27EDE7053AA86524CE1D1DFDD4BC3C6757D7D

Query result

Key Value
FileNamesnap-hashlookup-import/usr/share/doc/python3-h5py/copyright
FileSize4211
MD5FC8F1A310BDBA1E213A0BB695D2772F6
SHA-102D27EDE7053AA86524CE1D1DFDD4BC3C6757D7D
SHA-256563F0D777B59F4CCBE14016418590A5C243C5FA2B52B40A51B6A75D959A6AFDE
SHA-5127EB94F6EAE8CD1749DB442CEA08E3FF6FA5C02F08D5FE551374A59DDCA0607BC1480AE8FE7943FDD86FA078C09FB7CDD451962D9CDA5C36FE93042BCEECDD10F
SSDEEP96:49elOrXIJfJzX/3Q3z9wT5fOrXIJfJz7/3Q3z9wT5N8u9m:uyOrXcRT/3Q3xi5fOrXcRf/3Q3xi5N8Z
TLSHT1DA91D94B16408BF75AD12BC039AABCC4B15AE03D3E375801286DD3986B3B52F89FB4D4
insert-timestamp1721645905.3180861
mimetypetext/plain
sourcesnap:QIhdLyhBDOj2TXRh8gCCyE7A8qexJbSh_8
hashlookup:parent-total232
hashlookup:trust100

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Parents (Total: 232)

The searched file hash is included in 232 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize696792
MD5807C23EAAB07BD3CF1C7019559D1E03C
PackageDescriptiongeneral-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.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-h5py-mpi
PackageSectionpython
PackageVersion3.3.0-3
SHA-1007E9257BC0111FB567689DB730E663A307CA62E
SHA-2568DFE70D1DF2FED5F71188AE77EB82788F27379C010AC6EFC0D00FEF778B1E77C
Key Value
FileSize6833444
MD510FD1C10747D43CA680C047E483613BA
PackageDescriptiondebug extensions for h5py (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 debug extensions for Python 3, built for serial (single processor) jobs.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-h5py-serial-dbg
PackageSectiondebug
PackageVersion2.10.0-9+b2
SHA-101F07F2BFB2F0069C9EB86862865D7AC6A5A3FDE
SHA-2567EE330E30C23C4F255034DE8ABFDCB486B6FB8FBAA8800DA3E4796A300B60FDB
Key Value
FileSize5231392
MD56A7AF4A5653DD51961902C77D8E2C961
PackageDescriptiondebug extensions for h5py (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 debug extensions for Python 2.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-h5py-dbg
PackageSectiondebug
PackageVersion2.8.0-3
SHA-101F5D9865CB2D054E231BAD06A6636FE2F185EBD
SHA-256D2A595DF4B2ECE8B450F644C03BBEC09E370915D8CAB0157010AEEBD23BD127F
Key Value
FileSize11615212
MD51CF284C853B12BAA4C030102F2582B8F
PackageDescriptiondebug extensions for h5py (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 debug extensions for Python 3.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-h5py-dbg
PackageSectiondebug
PackageVersion2.8.0-3
SHA-1052A1572E85852576E8D0E0C3B25D70EAB4913FF
SHA-2563FB4E877BE3E1FF11185DF08D78DA13A17734CE26F53E20F34FA301F9C34728D
Key Value
FileSize639296
MD595F185E167A39153794920A437D4CD47
PackageDescriptiongeneral-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.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-h5py-mpi
PackageSectionpython
PackageVersion2.10.0-9+b2
SHA-109169F9462F3A48B9B8EC718B4E83A9E3F6E232A
SHA-25641B1816FC443397A78562DC8C98B93FEED4388042FCFF138058221B9E8F17D7B
Key Value
FileSize4733420
MD55EB57954B015D1DE9BA5222523C4480E
PackageDescriptiondebug extensions for h5py (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 debug extensions for Python 3, built with support for MPI (multiprocessor) jobs.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-h5py-mpi-dbg
PackageSectiondebug
PackageVersion3.3.0-2
SHA-1092761403971CEE412C50A4C0F45C1C59C8003BE
SHA-256AAA371A8481ACE3921E4C5E5058B10310F5A18E56C0E243B9F0B0F01639325EA
Key Value
FileSize691020
MD5FEAF4D1E33059047510EEA2C09739C93
PackageDescriptiongeneral-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.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-h5py-serial
PackageSectionpython
PackageVersion3.3.0-2
SHA-1099D94C5CC92DD45A7500B2C8EEE2D9106BF4B5F
SHA-25677A5FD79E474B5DD0AC504B3836DE43E443B3B6FCEA8966802C3CAA33708F262
Key Value
FileSize601580
MD5818C252B09DD520BE29F0BD9C1DB78D9
PackageDescriptiongeneral-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.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-h5py
PackageSectionpython
PackageVersion2.8.0-3
SHA-10A7731E531860283B0B8DF8ADCF8981A97AF5CD1
SHA-256F3B00B0F2859DBA3DFA63946995053AE4DFE1F6F26FE9F489306811D0EC56CC4
Key Value
FileSize644376
MD593C9C06C76A787126D4CDB399D9561DA
PackageDescriptiongeneral-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.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-h5py-mpi
PackageSectionpython
PackageVersion3.3.0-2
SHA-10B5E2C76EE815F84CED2D1F344F789D0D954CB62
SHA-2564470F91795CC5365A04ECBCDD3180D5FAEF99C070F56C9B29E6A6D26D240F6D7
Key Value
FileSize642564
MD599B439BEA142EF910E5FDC39B7D01BE3
PackageDescriptiongeneral-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.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-h5py-serial
PackageSectionpython
PackageVersion3.4.0-1exp1
SHA-10C605059EA6734C4824DC698FB43BCA31CA38ED0
SHA-2564849C01EE9C9BB00525C844EB3BE7523239CFFB82C7F692396D3CD50DFEE8980