| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/h5py-3.4.0.egg-info/PKG-INFO |
| FileSize | 1860 |
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| SHA-1 | 155AC205408EA27F9C0DC3A2F18112D2EEE9484D |
| SHA-256 | D99AE6142CC6CFDA2EE87FB66312A616406C00D3E1F0A48177837FC51B5AB4DF |
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| TLSH | T17B31201433C0ACF42BA2898A575DC3A74C355696AE8D244C38FD8148BF52B71837D57C |
| hashlookup:parent-total | 9 |
| hashlookup:trust | 95 |
The searched file hash is included in 9 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileSize | 773636 |
| MD5 | 117F98058D7A0E3FED08B6770B8D52A0 |
| 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 |
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| SHA-256 | DA5A9CEFF5F91354E93E44D3D7C86994B23B1C9811305B7E89C2BB999283D703 |
| Key | Value |
|---|---|
| FileSize | 683932 |
| MD5 | 29708F3D7C7C75CD5E3AAA6221BA26D8 |
| 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 |
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| Key | Value |
|---|---|
| FileSize | 705008 |
| MD5 | DCB496097ED186BDB918BD7CD4CF3C42 |
| 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 | 258EED62C5B0BCF929F910DD6762BC72926D744F |
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| Key | Value |
|---|---|
| FileSize | 693344 |
| MD5 | A672BF0FAA54F10649047C65BF9D4BDA |
| 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 |
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| Key | Value |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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