Key | Value |
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FileName | snap-hashlookup-import/usr/share/doc/python3-h5py/copyright |
FileSize | 4211 |
MD5 | FC8F1A310BDBA1E213A0BB695D2772F6 |
SHA-1 | 02D27EDE7053AA86524CE1D1DFDD4BC3C6757D7D |
SHA-256 | 563F0D777B59F4CCBE14016418590A5C243C5FA2B52B40A51B6A75D959A6AFDE |
SHA-512 | 7EB94F6EAE8CD1749DB442CEA08E3FF6FA5C02F08D5FE551374A59DDCA0607BC1480AE8FE7943FDD86FA078C09FB7CDD451962D9CDA5C36FE93042BCEECDD10F |
SSDEEP | 96:49elOrXIJfJzX/3Q3z9wT5fOrXIJfJz7/3Q3z9wT5N8u9m:uyOrXcRT/3Q3xi5fOrXcRf/3Q3xi5N8Z |
TLSH | T1DA91D94B16408BF75AD12BC039AABCC4B15AE03D3E375801286DD3986B3B52F89FB4D4 |
insert-timestamp | 1721645905.3180861 |
mimetype | text/plain |
source | snap:QIhdLyhBDOj2TXRh8gCCyE7A8qexJbSh_8 |
hashlookup:parent-total | 232 |
hashlookup:trust | 100 |
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 |
---|---|
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 |
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FileSize | 6833444 |
MD5 | 10FD1C10747D43CA680C047E483613BA |
PackageDescription | debug 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. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python3-h5py-serial-dbg |
PackageSection | debug |
PackageVersion | 2.10.0-9+b2 |
SHA-1 | 01F07F2BFB2F0069C9EB86862865D7AC6A5A3FDE |
SHA-256 | 7EE330E30C23C4F255034DE8ABFDCB486B6FB8FBAA8800DA3E4796A300B60FDB |
Key | Value |
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FileSize | 5231392 |
MD5 | 6A7AF4A5653DD51961902C77D8E2C961 |
PackageDescription | debug 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. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python-h5py-dbg |
PackageSection | debug |
PackageVersion | 2.8.0-3 |
SHA-1 | 01F5D9865CB2D054E231BAD06A6636FE2F185EBD |
SHA-256 | D2A595DF4B2ECE8B450F644C03BBEC09E370915D8CAB0157010AEEBD23BD127F |
Key | Value |
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FileSize | 11615212 |
MD5 | 1CF284C853B12BAA4C030102F2582B8F |
PackageDescription | debug 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. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python3-h5py-dbg |
PackageSection | debug |
PackageVersion | 2.8.0-3 |
SHA-1 | 052A1572E85852576E8D0E0C3B25D70EAB4913FF |
SHA-256 | 3FB4E877BE3E1FF11185DF08D78DA13A17734CE26F53E20F34FA301F9C34728D |
Key | Value |
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FileSize | 639296 |
MD5 | 95F185E167A39153794920A437D4CD47 |
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 | 2.10.0-9+b2 |
SHA-1 | 09169F9462F3A48B9B8EC718B4E83A9E3F6E232A |
SHA-256 | 41B1816FC443397A78562DC8C98B93FEED4388042FCFF138058221B9E8F17D7B |
Key | Value |
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FileSize | 4733420 |
MD5 | 5EB57954B015D1DE9BA5222523C4480E |
PackageDescription | debug 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. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python3-h5py-mpi-dbg |
PackageSection | debug |
PackageVersion | 3.3.0-2 |
SHA-1 | 092761403971CEE412C50A4C0F45C1C59C8003BE |
SHA-256 | AAA371A8481ACE3921E4C5E5058B10310F5A18E56C0E243B9F0B0F01639325EA |
Key | Value |
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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 |
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FileSize | 601580 |
MD5 | 818C252B09DD520BE29F0BD9C1DB78D9 |
PackageDescription | general-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. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python-h5py |
PackageSection | python |
PackageVersion | 2.8.0-3 |
SHA-1 | 0A7731E531860283B0B8DF8ADCF8981A97AF5CD1 |
SHA-256 | F3B00B0F2859DBA3DFA63946995053AE4DFE1F6F26FE9F489306811D0EC56CC4 |
Key | Value |
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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 |
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FileSize | 642564 |
MD5 | 99B439BEA142EF910E5FDC39B7D01BE3 |
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 | 3.4.0-1exp1 |
SHA-1 | 0C605059EA6734C4824DC698FB43BCA31CA38ED0 |
SHA-256 | 4849C01EE9C9BB00525C844EB3BE7523239CFFB82C7F692396D3CD50DFEE8980 |