Key | Value |
---|---|
FileName | ./usr/lib64/mpi/gcc/openmpi4/lib64/python3.6/site-packages/h5py/_hl/base.py |
FileSize | 14556 |
MD5 | 23A393D565A02C22226D71026C2C6CDC |
SHA-1 | 220F02F7B2EAB03F78A195DD0F830045A696068E |
SHA-256 | 1BE08189BE5D8EA922E325996A0A1A50FB100778AFCE8BE9A020657C76B1A183 |
SHA-512 | 5219F099F1D7EC2D323E61028F3C316212321149E9095F6878DFA9DBEFEE97894862A8388FB53A76AAE8266F3F24202666F3FD85A744D1CA4F6A34E466C4946D |
SSDEEP | 192:cxeJ0/Q7cSFt5xaeTdliaa196VtVdHH2HhW5RE2sonVfCozK3bVW/f/xJ:cEJwSrwaK923tHAhW5RE2/nVfIbVW/XP |
TLSH | T17F62605BFA62ED61965BC43A4987E501E3187A1F120830B4BCECD1B87F15626C1FE6CE |
insert-timestamp | 1668705488.7509232 |
mimetype | text/x-python |
source | snap:znWiFzGUllY53A2ET39CsMd7aV3jAeFR_63 |
tar:gname | root |
tar:uname | root |
hashlookup:parent-total | 231 |
hashlookup:trust | 100 |
The searched file hash is included in 231 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 696792 |
MD5 | 807C23EAAB07BD3CF1C7019559D1E03C |
PackageDescription | general-purpose Python interface to hdf5 (Python 3 MPI) 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, built with support for MPI (multiprocessor) jobs. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python3-h5py-mpi |
PackageSection | python |
PackageVersion | 3.3.0-3 |
SHA-1 | 007E9257BC0111FB567689DB730E663A307CA62E |
SHA-256 | 8DFE70D1DF2FED5F71188AE77EB82788F27379C010AC6EFC0D00FEF778B1E77C |
Key | Value |
---|---|
MD5 | D338C26F882782FDE5EE3930045339A8 |
PackageArch | s390x |
PackageDescription | 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. |
PackageName | python39-h5py |
PackageRelease | 37.1 |
PackageVersion | 3.4.0 |
SHA-1 | 01E7B57CC9A1EC91B7B6159A74F72839FCC47C15 |
SHA-256 | 3E823482F36FF43240C7313B38F0C318C3EA44BBD807543CCA900021E20E5505 |
Key | Value |
---|---|
MD5 | 232D1115B001CD78C63416BC19EB69A4 |
PackageArch | x86_64 |
PackageDescription | 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 | https://bugs.opensuse.org |
PackageName | python39-h5py-openmpi4 |
PackageRelease | 1.3 |
PackageVersion | 3.4.0 |
SHA-1 | 02C02F297B214ACCF1F52AE00673B7AD20EEE0E8 |
SHA-256 | 236AB73DA76CFF3D169148B8A1975A120D6B1F807E89E0CBFA959BF7DC790E27 |
Key | Value |
---|---|
MD5 | C8629C0F43B521F1207392FF16688385 |
PackageArch | i586 |
PackageDescription | 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. |
PackageName | python310-h5py |
PackageRelease | 38.17 |
PackageVersion | 3.4.0 |
SHA-1 | 04B3809FDEA0544683798D4031F54CDADD186C68 |
SHA-256 | 7D15ADF279BD2E46584E21EA0B9A8576976C1DE3E66ACB1A62B8C067F64DB239 |
Key | Value |
---|---|
MD5 | 0EE5429DE94810C9C21154A89436AC6B |
PackageArch | x86_64 |
PackageDescription | 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 | https://bugs.opensuse.org |
PackageName | python3-h5py-openmpi4 |
PackageRelease | bp153.2.6 |
PackageVersion | 3.1.0 |
SHA-1 | 0516AC4A2EEDECDDF3812F0BD8308995105383D5 |
SHA-256 | D5D373E59A2FF6137F7B729E75A473FF2EACA5AB80F672D17CFDE1915EF77E3E |
Key | Value |
---|---|
MD5 | 6E77C313DFA950CC8316E92A29D92C45 |
PackageArch | i586 |
PackageDescription | 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. |
PackageName | python310-h5py-openmpi1 |
PackageRelease | 38.22 |
PackageVersion | 3.4.0 |
SHA-1 | 0673A9AD23025C3C41AB922B421CC5F0B3BA734D |
SHA-256 | 09443D5643A2245067C1953898C725AC224234594E5CF0DECE838643912E484E |
Key | Value |
---|---|
FileSize | 691020 |
MD5 | FEAF4D1E33059047510EEA2C09739C93 |
PackageDescription | general-purpose Python interface to hdf5 (Python 3 serial) 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, built for serial (single processor) jobs. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python3-h5py-serial |
PackageSection | python |
PackageVersion | 3.3.0-2 |
SHA-1 | 099D94C5CC92DD45A7500B2C8EEE2D9106BF4B5F |
SHA-256 | 77A5FD79E474B5DD0AC504B3836DE43E443B3B6FCEA8966802C3CAA33708F262 |
Key | Value |
---|---|
FileSize | 644376 |
MD5 | 93C9C06C76A787126D4CDB399D9561DA |
PackageDescription | general-purpose Python interface to hdf5 (Python 3 MPI) 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, built with support for MPI (multiprocessor) jobs. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python3-h5py-mpi |
PackageSection | python |
PackageVersion | 3.3.0-2 |
SHA-1 | 0B5E2C76EE815F84CED2D1F344F789D0D954CB62 |
SHA-256 | 4470F91795CC5365A04ECBCDD3180D5FAEF99C070F56C9B29E6A6D26D240F6D7 |
Key | Value |
---|---|
MD5 | 69BA998988513F913EF54D3AC1035A5A |
PackageArch | armv7hl |
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 | python3-h5py-openmpi |
PackageRelease | 2.fc34 |
PackageVersion | 3.1.0 |
SHA-1 | 0BAE7C8ED9DD079B2BA02EDA9B540E25572D07FD |
SHA-256 | 2E129EB214ADCD61275D504122CD43FE795C1FBDC42B331855B191629C5BFBD2 |
Key | Value |
---|---|
FileSize | 642564 |
MD5 | 99B439BEA142EF910E5FDC39B7D01BE3 |
PackageDescription | general-purpose Python interface to hdf5 (Python 3 serial) 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, built for serial (single processor) jobs. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python3-h5py-serial |
PackageSection | python |
PackageVersion | 3.4.0-1exp1 |
SHA-1 | 0C605059EA6734C4824DC698FB43BCA31CA38ED0 |
SHA-256 | 4849C01EE9C9BB00525C844EB3BE7523239CFFB82C7F692396D3CD50DFEE8980 |