Parents (Total: 105)

The searched file hash is included in 105 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
SHA-1	0265167C71D611D4025F842F2EDE7CBAA0AA8A89
snap-authority	canonical
snap-filename	EE5GWu02z0YpTc00nobuYaTnsYOWA7ZQ_4.snap
snap-id	EE5GWu02z0YpTc00nobuYaTnsYOWA7ZQ_4
snap-name	epitopepredict
snap-publisher-id	wKNkmne29sQR93F3D0N6GFAFqfyv9hpz
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2017-09-18T21:52:25.816561Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/EE5GWu02z0YpTc00nobuYaTnsYOWA7ZQ_4.snap

Key	Value
MD5	8700FFBFC2FE461D80EE216E0DF76A15
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	python3-h5py
PackageRelease	8.fc32
PackageVersion	2.9.0
SHA-1	04CAFB2C62B100FAE2DA3FF492F87C105F176BC4
SHA-256	65E3B1C31F35D52A05017DC6206781A1540F2F68AC186E66FAAF23F3F9AE97AC

Key	Value
MD5	2CDE0F9E42728AC81F339DF0430C7481
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.
PackageName	python3-h5py
PackageRelease	2.14
PackageVersion	2.10.0
SHA-1	07B9EA9D580399E7780E40EA0B7ADC1B38D9FE1B
SHA-256	5DE8EA96B4AE1ACFFF78F2CF52032F0964023E1263B9422970297D66A67149A3

Key	Value
FileSize	639296
MD5	95F185E167A39153794920A437D4CD47
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	2.10.0-9+b2
SHA-1	09169F9462F3A48B9B8EC718B4E83A9E3F6E232A
SHA-256	41B1816FC443397A78562DC8C98B93FEED4388042FCFF138058221B9E8F17D7B

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/6.7/packages//powerpc//py3-h5py-2.10.0p0.tgz
MD5	CBC9196B781E9E7B82B942ED8D01A389
SHA-1	09CB6D1454163CF51345DFC0DF2CF249A33D5960
SHA-256	1F031DA66B3AA01A595FDCADB47D2F4FDCC23563B03838A7AFE3E9873D0011A1
SSDEEP	24576:pk48XgObR1bq+OKxM2/7TpH6UESg7ZRMsuI7bVV99NoTOHFlPuOcU:v8jbHbqkWW5aBN1RM7Ur9WTOllSU
TLSH	T18C5533F92105D3CB57D54E4E648AFD273CA9CC8DFE81FB6AC8602871606E0B529E4E47

Key	Value
FileSize	601580
MD5	818C252B09DD520BE29F0BD9C1DB78D9
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	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python-h5py
PackageSection	python
PackageVersion	2.8.0-3
SHA-1	0A7731E531860283B0B8DF8ADCF8981A97AF5CD1
SHA-256	F3B00B0F2859DBA3DFA63946995053AE4DFE1F6F26FE9F489306811D0EC56CC4

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
FileSize	692516
MD5	1205ECD894593438350BDA7BE356C32B
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	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python-h5py
PackageSection	python
PackageVersion	2.8.0-3
SHA-1	119A4CFF2013818B7E70A17FC875C66B01A58C79
SHA-256	E1B4A5AF87D8BF314976CDDCF1467D5E03E3C2AF781FAFB04E9D68CEA930AECC

Key	Value
MD5	8B8D939C8CA7BE39E726F5E3775A627B
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	python3-h5py
PackageRelease	7.el8
PackageVersion	2.9.0
SHA-1	1392B6653FD23DA6140B8B1F81EA18887CDB4BB2
SHA-256	12D7C0DD037F9F99533F216A1045F429289102827ECCC8894F6A795BD4601663

Key	Value
MD5	E7F5743DB0CB43972C1B220F9D45F2AA
PackageArch	x86_64
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-mpich
PackageRelease	4.fc33
PackageVersion	2.10.0
SHA-1	15109A2DF2888901F002D6B1C2D158431AC2B192
SHA-256	DA8E93A545039AA35D619825211A60FBF730635924576CEC8DA315564237C51D