Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/h5py/_hl/base.py |
FileSize | 9548 |
MD5 | A0C51AC98A524A24D7C34ADE065CEE1E |
SHA-1 | 248AE775A9119009F7D825D2DE04F8CA6D9899AE |
SHA-256 | 868437C2F70F2B3EFC1E10AFED85AE721A44AE72AC730C8D6BBED40256221360 |
SSDEEP | 192:cxnJhR8Tdsaa1t6VtVdHH2HhfOBmsWPHgq9c:ctBaKt23tHAhfOBmnoL |
TLSH | T16112EE57F686EC92A71BC43A4987E942E31C6A1B411C7034BCFCE1B8AF12525C1F95EE |
hashlookup:parent-total | 19 |
hashlookup:trust | 100 |
The searched file hash is included in 19 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 |
---|---|
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 |
Key | Value |
---|---|
MD5 | B29FF853C005177E24A8768029AF3F12 |
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 | 2.fc21 |
PackageVersion | 2.3.1 |
SHA-1 | 5D7BB5D3E6BA4D25E3CBD7D87AF359F7956BBE40 |
SHA-256 | 2B3283491ACBAD050CC6B516EA61181DF2D138285C481D789099BC7F54C36A09 |