Key | Value |
---|---|
FileName | snap-hashlookup-import/usr/lib/python3/dist-packages/h5py/tests/old/test_objects.py |
FileSize | 953 |
MD5 | E17B52E74348B9A6531AB9CD7CC8D574 |
SHA-1 | 1CF66C22219FB9D9C9696CDE64FA5A87E7ECB012 |
SHA-256 | 44874BF4E8B4F5C9A332BA3ABE3AF1CF8986CAE539A17A0AB58198DE02C07586 |
SHA-512 | F7A87C27B10B07D3D28C191C080D3B78A6F86B31655032493BBA2D0916681515418D1DD7DD15DD70B5EEE64BE1DDCA2224A726103E96CCE4BE9AE8683D214F37 |
SSDEEP | 24:qlyKq4xrv/dizn2Vk6vjLf4l1lBORZFceJ:cyKj93dyneka7a1a/F5J |
TLSH | T14911EF300A5FBE9177A7C6D9C5CAC50AC66E565B1A0D34393CDCC2C51F258A4CCEBA16 |
insert-timestamp | 1721645940.4704947 |
mimetype | text/x-python |
source | snap:QIhdLyhBDOj2TXRh8gCCyE7A8qexJbSh_8 |
hashlookup:parent-total | 27 |
hashlookup:trust | 100 |
The searched file hash is included in 27 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 | 550772 |
MD5 | A3344C67E359F8FC996C278ABC6142AE |
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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-h5py |
PackageSection | python |
PackageVersion | 2.7.1-2 |
SHA-1 | 0FBE51CEFC3A5084D01B3FA2E45BBEDA53DC316B |
SHA-256 | 2AA53F712ED6624E13A2A3EF6DBA78E2718B10D3A40C623D3F6834BEA6378C52 |
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 | 630776 |
MD5 | 3A5F1C67B1FAD40046CDB8AE47335EFD |
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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python3-h5py |
PackageSection | python |
PackageVersion | 2.7.1-2 |
SHA-1 | 22F20216E19C9672C5F5380BF81744FCAF79EDD1 |
SHA-256 | 37858F0487C46EE8D26501C9EB1E1DF9E793B35D15E1AAE635150D2AD8C90810 |
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 | 622636 |
MD5 | EC9F1643BC79F7DA34D5DB7FA063A214 |
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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-h5py |
PackageSection | python |
PackageVersion | 2.7.1-2 |
SHA-1 | 402892BDF434C7ADFFDEDD294D1462A53720A8B7 |
SHA-256 | 56534F1CF87628482A3BD23DCE8096A17B1AB3E5AE5E20075DF72CD581D237AA |
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 |