Result for 039DF522396F446A1AEE5030C48D1EF6D9423FB8

Query result

Key Value
FileName./usr/lib/python3/dist-packages/h5py/_hl/dims.py
FileSize3689
MD5514CE2877D25E1178F88442231B8BC42
SHA-1039DF522396F446A1AEE5030C48D1EF6D9423FB8
SHA-256BE18052979C2702AA06176F5FDB3AC7B28B62CB92824447D2DF38F906D0BB83B
SSDEEP48:cyKj93dyBIE/oMJgKCV9REjmgVa3XbMJePbjF10vFTd:cyKlI+E/4zV9Rd3IUbf0d
TLSHT1957104FAAAB3DC50D22BC839CD46E84B773C5D4B900D2474B4FC64A46F56861C4EAED8
hashlookup:parent-total15
hashlookup:trust100

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Parents (Total: 15)

The searched file hash is included in 15 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5B7DFFD964EC7092F88CF2B0E2EA49E84
PackageArchppc64
PackageDescriptionThe 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.
PackageMaintainerFedora Project
PackageNamepython3-h5py
PackageRelease2.fc21
PackageVersion2.3.1
SHA-1D7F3091FACEA95B44E242C00530740F603224D19
SHA-25624B2A4D4EB8F9FBB5F7B5F19726B90C0853DC0E209B2A8C580E23EC5124FA4DA
Key Value
MD568DCC8C6BF172541C6BDEF1D25A57591
PackageArchs390x
PackageDescriptionThe 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.
PackageMaintainerFedora Project
PackageNamepython3-h5py
PackageRelease1.fc20
PackageVersion2.2.0
SHA-1C99EC85C354979935EE3B49651E17F93D666BF37
SHA-256AF9BDA9C7F15D56870DAF3FA6DD69F0F2D366F78E41F7975065F46E50B8157B4
Key Value
MD5E7084DA44CEDAC01B9C7F0569633D840
PackageArchaarch64
PackageDescriptionThe 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.
PackageMaintainerFedora Project
PackageNamepython3-h5py
PackageRelease2.fc21
PackageVersion2.3.1
SHA-1EF07B1523531D654426490E9921E1D84DBBF4BD9
SHA-2563B0C1417F933A2FE18A58FF3181CAA526203F5E8638D9233384558AA6125CBBC
Key Value
FileSize469700
MD5BCB35D4313C18768FDAB731067746B20
PackageDescriptionh5py 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.
PackageMaintainerSoeren Sonnenburg <sonne@debian.org>
PackageNamepython3-h5py
PackageSectionpython
PackageVersion2.2.1-1.1+b1
SHA-1F6CD5E7243D22C7BCD1715BD37BCBBEEEAE60728
SHA-2563DDD2A4E6A241B46A3F735620DA17577C3CBE7D7C2D19BDBAEDC25668F8B5460
Key Value
MD5E3DEF5A03DEC1532681F8B01F6A864C3
PackageArchs390
PackageDescriptionThe 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.
PackageMaintainerFedora Project
PackageNamepython3-h5py
PackageRelease1.fc20
PackageVersion2.2.0
SHA-19B85F44D8A4985C1F961ECF3763270F7E5F3EEB3
SHA-25600B73BA7E57AB0228D6C8791BF51C262B1DA153E5560E77A38D233C04AF41553
Key Value
FileSize495110
MD54DEBB68B8020E66ECCDA019C0CD35E5C
PackageDescriptionh5py 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-h5py
PackageSectionpython
PackageVersion2.2.1-1build2
SHA-1A70B73DB2345027422A4D18D67EFF185B348D80E
SHA-256C20A073638596FB3553A43DBFA7006773C6D6C46B9363E65A8A9295F481CC354
Key Value
MD50652E752D4B85963DE2F25AB99677DFD
PackageArchppc64
PackageDescriptionThe 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.
PackageMaintainerFedora Project
PackageNamepython3-h5py
PackageRelease1.fc20
PackageVersion2.2.0
SHA-19EDC4A615A6ACB9921955393FD5433BCF23411FF
SHA-256F9C5B1B69BB47EECA6A2DE2DD06E10BC69A36948D7526D3C46CADC0A3545ABBD
Key Value
FileSize449678
MD55241DDAEEA8584C0C9E4955FA3CD58CF
PackageDescriptionh5py 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.
PackageMaintainerSoeren Sonnenburg <sonne@debian.org>
PackageNamepython3-h5py
PackageSectionpython
PackageVersion2.2.1-1.1+b1
SHA-165CCF44C7A739FC38B2F9AF1114C2645A8A5FD09
SHA-25692B8C01BE56F9C55C9A46D5D5833322C445E437DAA652D600739A966860F4AE4
Key Value
MD574C264409A5C600816DE1CF0508AB126
PackageArchs390
PackageDescriptionThe 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.
PackageMaintainerFedora Project
PackageNamepython3-h5py
PackageRelease2.fc21
PackageVersion2.3.1
SHA-10ED16656DE923188193276048BE9D6A9E60C21BA
SHA-25699ADDF595407198316DF9CE421DA378C5EA2F3E779CB59458DA578691BFE4F4B
Key Value
FileSize438958
MD5AEB7F7D1B953B4B6FE42E1B50548E194
PackageDescriptionh5py 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-h5py
PackageSectionpython
PackageVersion2.2.1-1build2
SHA-1F54B9FC3DE4EB79DB2AB0427F046A93EE0720FB5
SHA-25646F21977991CB6849959A3A77754144E19DCDC79EEFEEE136A69EFFD83AF4E04
Key Value
MD595758943FB92B2BAB2F5476346277BBE
PackageArchppc64le
PackageDescriptionThe 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.
PackageMaintainerFedora Project
PackageNamepython3-h5py
PackageRelease2.fc21
PackageVersion2.3.1
SHA-1DAB5A970D0825A31CDB1C0A9337A0FACE869B5DA
SHA-2563DE81F61EFE51912D45C641B71AABE2AB53D492DC902F89336A21A718769FAD5
Key Value
MD575EFE601928F2E68961CDBD744818FC6
PackageArchppc
PackageDescriptionThe 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.
PackageMaintainerFedora Project
PackageNamepython3-h5py
PackageRelease1.fc20
PackageVersion2.2.0
SHA-1743579D2C539F63686B04A44607DDDEC098F5230
SHA-256A3197DCBB713FA167690FF40B60E58759DE4415DE9413491DD33C04C5DB10C6D
Key Value
FileSize483422
MD5451B6A6F312AAE98F7CA2A138351259C
PackageDescriptionh5py 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.
PackageMaintainerSoeren Sonnenburg <sonne@debian.org>
PackageNamepython3-h5py
PackageSectionpython
PackageVersion2.2.1-1.1+b1
SHA-1A6EE62D33D77E89D7CFBAE2E9409FD94976BD244
SHA-256B342194B93FC80F1493C7570B7F4F118CB225CEFC4DC61F26BBD3474C352E3FC
Key Value
MD56AB31E8C62E05702E236B19AC7CC6643
PackageArchs390x
PackageDescriptionThe 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.
PackageMaintainerFedora Project
PackageNamepython3-h5py
PackageRelease2.fc21
PackageVersion2.3.1
SHA-18A3D4C3659E70A5A444A8F2AE5A654DF78E7FFDA
SHA-2563ECE8B459D583645E0938057EFCBE7BFC20694E4674E0C81A41533DC4F7D9836
Key Value
FileSize501922
MD553AD53ABD8C4A47F1904546BA94B11F4
PackageDescriptionh5py 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.
PackageMaintainerSoeren Sonnenburg <sonne@debian.org>
PackageNamepython3-h5py
PackageSectionpython
PackageVersion2.2.1-1.1+b1
SHA-13D7D0D4E8C38A2C49C2CCCD0789CD37139B6ADF6
SHA-25690A4F1E5A385F80A2BA43333120D93EB68E0B3BC59C904ACCE6139148259540A