Key | Value |
---|---|
FileName | snap-hashlookup-import/usr/lib/python3/dist-packages/h5py/highlevel.py |
FileSize | 826 |
MD5 | 0CE8C4904E39E735E4ED31CCC7AC5C54 |
SHA-1 | 2FCA478DD1E3E381274AB0095D252FA8829BA6FE |
SHA-256 | 8A197A2DC707A3BDA0F47463EDEFEDCF6B0CEB8757075ECC1A791386C159A8DD |
SHA-512 | 5C6A101EE0BD3CD0235FACC07C1ABE2EB9C091750C9DA6D59E022812D5F67A1EEE0D5D983EE0367D5ABFF8C510EDA9DAC4107A828CD6CFE306AEAF04FBFFC076 |
SSDEEP | 24:qlyKq4xrv/dizeHW8wVtWZAY2tnVVSNKch3:cyKj93dyOW8wFYp3 |
TLSH | T1F301411E124177322AECC2D96B8D83A5D737107A0F83282B70AC47B81797D301BEA500 |
insert-timestamp | 1721645940.2429085 |
mimetype | text/x-python |
source | snap:QIhdLyhBDOj2TXRh8gCCyE7A8qexJbSh_8 |
hashlookup:parent-total | 56 |
hashlookup:trust | 100 |
The searched file hash is included in 56 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 493584 |
MD5 | BC17CAF1D18C04DF5390D77AD939651F |
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 h5py for the Python 2 interpreter. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python-h5py |
PackageSection | python |
PackageVersion | 2.7.0-1 |
SHA-1 | 0522F6BF5C0F567449D8580678878AAC46BE542C |
SHA-256 | A06CF6C0E39919E10F9C2BFDB592A43BC90D49ED34B195BAE04BFF49F3CA09C8 |
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 | 582524 |
MD5 | AAE1A815869E23E8595E459AF7DF81D7 |
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 h5py for the Python 2 interpreter. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python-h5py |
PackageSection | python |
PackageVersion | 2.7.0-1 |
SHA-1 | 1A58437DF3D133432BC2090328658600C4AB62D1 |
SHA-256 | 8371CF7B6FC3CF271D929E0E70217FC7D67BABEEFF53FB918FAE7DF371B0E5DF |
Key | Value |
---|---|
FileSize | 494772 |
MD5 | BB9B5B7FC1D27AAB13CD4259CD98B1F5 |
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 h5py for the Python 3 interpreter. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python3-h5py |
PackageSection | python |
PackageVersion | 2.6.0-1 |
SHA-1 | 1F595459914A5545B690EBECB07CA96B9E68195E |
SHA-256 | 3242C63CA0AAE313CDEB7678E5644C0CCB4DA057A34F6815D5E89B66A90ED95C |
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 | 488064 |
MD5 | 18F3909CA397A9E3BC736CD8AA673F1D |
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 h5py for the Python 2 interpreter. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-h5py |
PackageSection | python |
PackageVersion | 2.6.0-1 |
SHA-1 | 322F4EAACD18CA0E07D276C9F24BEC9C8178F711 |
SHA-256 | 24B3274D9BF4A364F99FE8974ED79C061F501B034DD91B286468AA17E1697FFA |