Key | Value |
---|---|
FileName | snap-hashlookup-import/usr/lib/python3/dist-packages/h5py/tests/old/test_base.py |
FileSize | 2219 |
MD5 | D878FFBCEC085A7647943F878CD9B527 |
SHA-1 | 09716B351B9A886D7F62DA9E91E648C871D9E286 |
SHA-256 | A1F570BFAB5B03690B3A1845DE764B1898A7C03A4B07A2D3E55D13DE2295FA97 |
SHA-512 | 11C69D07776A9EC9904E097A7C06F157479FA73399E9108209BBB16130B3BF9F548321C248E915366341B89EEDDF6D43A878EB26D5440F76E75003E94BE28479 |
SSDEEP | 48:cyKj93dyAnFwfpT3nVxR3XXMWwHIDyu77TQXPThXvTCyTBMrdS:cyKlIAq3nVxR3yuX/MLhrhOrdS |
TLSH | T1E2410046E102AF50D3CBC4BA409BF542651FDA074A089835BCFCC2249FA453281F7EE8 |
insert-timestamp | 1721645940.3749492 |
mimetype | text/x-python |
source | snap:QIhdLyhBDOj2TXRh8gCCyE7A8qexJbSh_8 |
hashlookup:parent-total | 7 |
hashlookup:trust | 85 |
The searched file hash is included in 7 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 557012 |
MD5 | 7A02E6693E8E75A4553A798A52E80D4E |
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 | E87B067E890B49B449DE097D4687C8B4F5482A03 |
SHA-256 | 1B04C0BCF161089C18C7ECD1071AF7133E808006AC1B8EC8BFB2C7736A3DC1A1 |
Key | Value |
---|---|
SHA-1 | 8E66D8F37AEFCE429F35395CAF639011A4B13E72 |
snap-authority | canonical |
snap-filename | QIhdLyhBDOj2TXRh8gCCyE7A8qexJbSh_8.snap |
snap-id | QIhdLyhBDOj2TXRh8gCCyE7A8qexJbSh_8 |
snap-name | mycroft-precise |
snap-publisher-id | tzjXAsuCVj7VrW8o3iQKk2IW5wrMDMEd |
snap-signkey | BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul |
snap-timestamp | 2020-04-17T10:47:05.658926Z |
source-url | https://api.snapcraft.io/api/v1/snaps/download/QIhdLyhBDOj2TXRh8gCCyE7A8qexJbSh_8.snap |
Key | Value |
---|---|
MD5 | C1449145ABA0CFA606667EBD29010B92 |
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 |
PackageRelease | lp150.2.1 |
PackageVersion | 2.7.1 |
SHA-1 | B9290586C9326CAB407790CE1863248407887FF4 |
SHA-256 | B85E9B9EB4FC4AE40A7176D471A79EA5AD7BF3883E3A05898187DF0411FC3C54 |
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 |
---|---|
MD5 | 8805F69F5DC8C267B0CA4CD9465D6A64 |
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 | python2-h5py |
PackageRelease | lp150.2.1 |
PackageVersion | 2.7.1 |
SHA-1 | BDF7DB037025AAA6255FB997C3A4A0EF338EC61F |
SHA-256 | D04E038543CB1540307AA98C447C0A3A0D7CD6F6E4209458F51AA4E35EDD6B8C |
Key | Value |
---|---|
FileSize | 622636 |
MD5 | EC9F1643BC79F7DA34D5DB7FA063A214 |
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 | 402892BDF434C7ADFFDEDD294D1462A53720A8B7 |
SHA-256 | 56534F1CF87628482A3BD23DCE8096A17B1AB3E5AE5E20075DF72CD581D237AA |
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 |