| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/h5py/tests/old/test_group.py |
| FileSize | 34432 |
| MD5 | FCBB26B8CAE23D3C19A4D4FF7404F3A8 |
| SHA-1 | 0B4E9644B5131A0245C51E2B900705FFA4663CE9 |
| SHA-256 | 1389832C9946BFC938D3679D935204FBCB8DA2A0386DF8A3918B5FD3FC60CD18 |
| SSDEEP | 768:nKIrMUUOZqTZa+KrZjlJ55KCJ4OTtuaPuYYMD6Hw13Y/SHg0H5doHraS1SARSQws:KIrMUUOZqTZa+KrZjlJ55KCmOTtusuYa |
| TLSH | T19BF2E013E5134FA4A247EDBF85AF7A07661F9D13410D1474B9BC4A88AF21229A0F7DF8 |
| hashlookup:parent-total | 20 |
| hashlookup:trust | 100 |
The searched file hash is included in 20 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| 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 |
|---|---|
| FileSize | 692516 |
| MD5 | 1205ECD894593438350BDA7BE356C32B |
| 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 | 119A4CFF2013818B7E70A17FC875C66B01A58C79 |
| SHA-256 | E1B4A5AF87D8BF314976CDDCF1467D5E03E3C2AF781FAFB04E9D68CEA930AECC |
| Key | Value |
|---|---|
| FileSize | 680492 |
| MD5 | 985F13E7E4495417C02F44D0D04B1CDC |
| PackageDescription | general-purpose Python interface to hdf5 (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 modules for Python 3. |
| PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
| PackageName | python3-h5py |
| PackageSection | python |
| PackageVersion | 2.8.0-3 |
| SHA-1 | 23ECF66E5EF74B568B0DC3AC62E10904ED043685 |
| SHA-256 | CDC2736A9D7741727ED5787025333E47591F688A9A5C46F45DCC14CA4FBC6D02 |
| Key | Value |
|---|---|
| FileSize | 595128 |
| MD5 | 624F93A708B29AA120785E666522F91C |
| 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 | 30F5458013005466C321C5E084569C7F3229F9F9 |
| SHA-256 | E8B69938CBCDE5A629140390E29DC597F28C7C91442B741BCA03557C5416CC77 |
| Key | Value |
|---|---|
| FileSize | 824568 |
| MD5 | BB57AACB32508A2FAA1D65F8383C6170 |
| PackageDescription | general-purpose Python interface to hdf5 (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 modules for Python 3. |
| PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
| PackageName | python3-h5py |
| PackageSection | python |
| PackageVersion | 2.8.0-3 |
| SHA-1 | 3CC73F18A920CA23EC3124DE486C0FAC5A32E4FA |
| SHA-256 | 55B3FBF0CCA5F8EA49EAC452CD4C6ADDFECF75ED5754D6D42D804B9531B96574 |
| Key | Value |
|---|---|
| FileSize | 1014592 |
| MD5 | A7671168D95F46109F6E774D50B8BC31 |
| PackageDescription | general-purpose Python interface to hdf5 (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 modules for Python 3. |
| PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
| PackageName | python3-h5py |
| PackageSection | python |
| PackageVersion | 2.8.0-3 |
| SHA-1 | 48AFD041E7198FEE887D86C975706CF451948F47 |
| SHA-256 | 3DE13159A463C3FF57AF1D7DF73BDC4928C098C91F1066E3B43725B20C73F274 |
| Key | Value |
|---|---|
| FileSize | 514664 |
| MD5 | B116D66FB8B8E815DE3B8E523BF9AC95 |
| 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 | 4AFC4AEEB80759576D884592C245B50B34044BA7 |
| SHA-256 | 1C7523DE88D4797DEB083FA22A0718825A18A690C7198C4A8A41A4EFDDAFA399 |
| Key | Value |
|---|---|
| FileSize | 506900 |
| MD5 | 20DF53BBDE114B3DD01C913B7F721A2A |
| 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 | 4CD4C1AFC40F3972F7C8A5E3251C5100C9CCD76B |
| SHA-256 | 071827F840A733ACCDE8F3CCC65617F10E097664067556B73A23F7598757425C |
| Key | Value |
|---|---|
| FileSize | 587276 |
| MD5 | 54BC2E09303C9F66FE5F268707115CAB |
| 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 | 64B9BB9DD7E7C39686F818DEFB41F47A80BAC64C |
| SHA-256 | C52C1CC8EC9C146EFD2BBFDF299A7EC04886768B8D69695DBBAF239226A91C19 |
| Key | Value |
|---|---|
| FileSize | 833792 |
| MD5 | 1686D170D33180EFCA18059FE3D2C72F |
| PackageDescription | general-purpose Python interface to hdf5 (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 modules for Python 3. |
| PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
| PackageName | python3-h5py |
| PackageSection | python |
| PackageVersion | 2.8.0-3 |
| SHA-1 | 68398C2604594263D3682CA53E73CF4EF32A7958 |
| SHA-256 | 0F0B297F026E7AF66027675D7BFCE38D6105F7B4E75409D0D463B2AC9B03CC95 |