Key | Value |
---|---|
FileName | ./usr/share/doc/python-h5py/README.rst |
FileSize | 2223 |
MD5 | 5A42DA60FB1A031BBD45DDAEC5B80E94 |
SHA-1 | 19FA3C99BA5B49D436AB206AA4C207FBCD0C63E9 |
SHA-256 | 6CEFBF52C536A81F4396746C659445DA0D0622240AE601131BD661B2EA5220E7 |
SSDEEP | 48:K0twqlWXSr9Fi7XfLwreDdA5NHMjYIu5SJ+qTFgzWb:fPlWsakv51MjA53uCKb |
TLSH | T1DF41932B0D1823323751C7BA01FF0AD6E732917D67A1A0B8E83E058087023B11F3EAC8 |
hashlookup:parent-total | 28 |
hashlookup:trust | 100 |
The searched file hash is included in 28 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | E5567A0C70CC90C9676FC33662C85556 |
PackageArch | ppc64le |
PackageDescription | The h5py package provides both a high- and low-level interface to the HDF5 library from Python. The low-level interface is intended to be a complete wrapping of the HDF5 API, while the high-level component supports access to HDF5 files, data sets and groups using established Python and NumPy concepts. A strong emphasis on automatic conversion between Python (Numpy) data types and data structures and their HDF5 equivalents vastly simplifies the process of reading and writing data from Python. |
PackageMaintainer | Fedora Project |
PackageName | h5py |
PackageRelease | 2.fc21 |
PackageVersion | 2.3.1 |
SHA-1 | 06588EEBE67130E5A8F30D024938086DBA04567D |
SHA-256 | D0C6FD393BF20131FC5BF511770C7F25C2DF99F5C1AA9D6EF8E2289C5A321437 |
Key | Value |
---|---|
MD5 | 74C264409A5C600816DE1CF0508AB126 |
PackageArch | s390 |
PackageDescription | The h5py package provides both a high- and low-level interface to the HDF5 library from Python. The low-level interface is intended to be a complete wrapping of the HDF5 API, while the high-level component supports access to HDF5 files, data sets and groups using established Python and NumPy concepts. A strong emphasis on automatic conversion between Python (Numpy) data types and data structures and their HDF5 equivalents vastly simplifies the process of reading and writing data from Python. This is the Python 3 version of h5py. |
PackageMaintainer | Fedora Project |
PackageName | python3-h5py |
PackageRelease | 2.fc21 |
PackageVersion | 2.3.1 |
SHA-1 | 0ED16656DE923188193276048BE9D6A9E60C21BA |
SHA-256 | 99ADDF595407198316DF9CE421DA378C5EA2F3E779CB59458DA578691BFE4F4B |
Key | Value |
---|---|
FileSize | 457142 |
MD5 | 61089C2126E054DC9E688755F0CC30B1 |
PackageDescription | h5py is a general-purpose Python interface to hdf5 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. |
PackageMaintainer | Soeren Sonnenburg <sonne@debian.org> |
PackageName | python-h5py |
PackageSection | python |
PackageVersion | 2.2.1-1.1+b1 |
SHA-1 | 27CD2D6FA454BAB374F4309AA8529218E66468A7 |
SHA-256 | 564838FFDFEA9D95701D42D45E73926EE64BC2FF68888955F3966C717C1C7359 |
Key | Value |
---|---|
MD5 | B9F60931BE4EA32DD038A796C5B06585 |
PackageArch | ppc64 |
PackageDescription | The h5py package provides both a high- and low-level interface to the HDF5 library from Python. The low-level interface is intended to be a complete wrapping of the HDF5 API, while the high-level component supports access to HDF5 files, data sets and groups using established Python and NumPy concepts. A strong emphasis on automatic conversion between Python (Numpy) data types and data structures and their HDF5 equivalents vastly simplifies the process of reading and writing data from Python. |
PackageMaintainer | Fedora Project |
PackageName | h5py |
PackageRelease | 1.el7 |
PackageVersion | 2.3.1 |
SHA-1 | 2C938ED557E91CCA3623D0DABFB6C0CF35ACCFC9 |
SHA-256 | 32FCDDDED01314A6433D6E746D81ABA215D3E90FDF4CDA2CB23022136A0C5EC1 |
Key | Value |
---|---|
MD5 | 7B6A3310EDD61E9A72FB0D600E5CCB58 |
PackageArch | s390x |
PackageDescription | The h5py package provides both a high- and low-level interface to the HDF5 library from Python. The low-level interface is intended to be a complete wrapping of the HDF5 API, while the high-level component supports access to HDF5 files, data sets and groups using established Python and NumPy concepts. A strong emphasis on automatic conversion between Python (Numpy) data types and data structures and their HDF5 equivalents vastly simplifies the process of reading and writing data from Python. |
PackageMaintainer | Fedora Project |
PackageName | h5py |
PackageRelease | 1.fc20 |
PackageVersion | 2.2.0 |
SHA-1 | 2CD9CEF5E730A0680E216D7C5A89E2B80F4B2198 |
SHA-256 | 3C411C37B12132D139CC4CC40A076E5F592B24691E1B5CEFE3D9B8C7A29CA189 |
Key | Value |
---|---|
MD5 | 1B6DEC889D4CC2F498E8E94511AC65BB |
PackageArch | ppc64 |
PackageDescription | The h5py package provides both a high- and low-level interface to the HDF5 library from Python. The low-level interface is intended to be a complete wrapping of the HDF5 API, while the high-level component supports access to HDF5 files, data sets and groups using established Python and NumPy concepts. A strong emphasis on automatic conversion between Python (Numpy) data types and data structures and their HDF5 equivalents vastly simplifies the process of reading and writing data from Python. |
PackageMaintainer | Fedora Project |
PackageName | h5py |
PackageRelease | 1.fc20 |
PackageVersion | 2.2.0 |
SHA-1 | 369D761F40EF2F8BDD7A59F3AE1187F0C2BF7D33 |
SHA-256 | D7126DBA54F402C7D6FDA7743197ECB7048B22445E6442421D2C74571A948AEA |
Key | Value |
---|---|
MD5 | A4B81AF137ABAD9DEBBE27A04653E615 |
PackageArch | ppc |
PackageDescription | The h5py package provides both a high- and low-level interface to the HDF5 library from Python. The low-level interface is intended to be a complete wrapping of the HDF5 API, while the high-level component supports access to HDF5 files, data sets and groups using established Python and NumPy concepts. A strong emphasis on automatic conversion between Python (Numpy) data types and data structures and their HDF5 equivalents vastly simplifies the process of reading and writing data from Python. |
PackageMaintainer | Fedora Project |
PackageName | h5py |
PackageRelease | 1.fc20 |
PackageVersion | 2.2.0 |
SHA-1 | 405673598F370AD76600CE118B6342B8348F4A9E |
SHA-256 | 77F964518DDB1E6EC27B3C4861C24D5A0346236841C6FC391638D11247C05882 |
Key | Value |
---|---|
MD5 | E87828030819CEA914FBF58AD589A680 |
PackageArch | aarch64 |
PackageDescription | The h5py package provides both a high- and low-level interface to the HDF5 library from Python. The low-level interface is intended to be a complete wrapping of the HDF5 API, while the high-level component supports access to HDF5 files, data sets and groups using established Python and NumPy concepts. A strong emphasis on automatic conversion between Python (Numpy) data types and data structures and their HDF5 equivalents vastly simplifies the process of reading and writing data from Python. |
PackageMaintainer | Fedora Project |
PackageName | h5py |
PackageRelease | 1.el7 |
PackageVersion | 2.3.1 |
SHA-1 | 4D530A4C8578E084CA193B7822787C548E5B3FEF |
SHA-256 | B93B3EBC2A1DAA8C58E3FF71F9DC4F3DCDFE61A26DB79574A5AE198DAFE0C12C |
Key | Value |
---|---|
FileSize | 511422 |
MD5 | B5D190703D0DD2F6CC40110632D488D0 |
PackageDescription | h5py is a general-purpose Python interface to hdf5 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. |
PackageMaintainer | Soeren Sonnenburg <sonne@debian.org> |
PackageName | python-h5py |
PackageSection | python |
PackageVersion | 2.2.1-1.1+b1 |
SHA-1 | 4D5AA7846DBD657880790C2F621AF350340442CF |
SHA-256 | 16CF3CCF1E3B7D931FBCB3C74C30484C4EB55229626BB807CC43572DDD0A66BC |
Key | Value |
---|---|
FileSize | 432322 |
MD5 | 9F09E19B94B5AC2B018E79FFF2D70BE0 |
PackageDescription | h5py is a general-purpose Python interface to hdf5 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. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-h5py |
PackageSection | python |
PackageVersion | 2.2.1-1build2 |
SHA-1 | 580736E81F956E0229A5B535983D548306968915 |
SHA-256 | B12AADE15E88C277D96AAA0B8B8E5FE1F05726A1AE2DFABA1D91ADA07CA3595D |