Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	23503BF7128EE4A00C8B4D65B6FE1531
PackageArch	noarch
PackageDescription	Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats, including Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, and support for writing to a subset of these formats plus non-proprietary formats including HDF5. The goal of Neo is to improve interoperability between Python tools for analyzing, visualizing and generating electrophysiology data (such as OpenElectrophy, NeuroTools, G-node, Helmholtz, PyNN) by providing a common, shared object model. In order to be as lightweight a dependency as possible, Neo is deliberately limited to represention of data, with no functions for data analysis or visualization. Neo implements a hierarchical data model well adapted to intracellular and extracellular electrophysiology and EEG data with support for multi-electrodes (for example tetrodes). Neos data objects build on the quantities_ package, which in turn builds on NumPy by adding support for physical dimensions. Thus neo objects behave just like normal NumPy arrays, but with additional metadata, checks for dimensional consistency and automatic unit conversion. Read the documentation at http://neo.readthedocs.io/
PackageMaintainer	Fedora Project
PackageName	python3-neo
PackageRelease	2.fc34
PackageVersion	0.9.0
SHA-1	FD79236AED626C046F27C2A002387F60986F52A0
SHA-256	9C9FDB43B87A0E78A4A333D2EBE15D78D1C1262A410C3DF8257380560EC89F70

Key	Value
MD5	DE172C5661ECE64EC747AD005B3BADA9
PackageArch	noarch
PackageDescription	Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats, including Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, and support for writing to a subset of these formats plus non-proprietary formats including HDF5. The goal of Neo is to improve interoperability between Python tools for analyzing, visualizing and generating electrophysiology data (such as OpenElectrophy, NeuroTools, G-node, Helmholtz, PyNN) by providing a common, shared object model. In order to be as lightweight a dependency as possible, Neo is deliberately limited to represention of data, with no functions for data analysis or visualization. Neo implements a hierarchical data model well adapted to intracellular and extracellular electrophysiology and EEG data with support for multi-electrodes (for example tetrodes). Neos data objects build on the quantities_ package, which in turn builds on NumPy by adding support for physical dimensions. Thus neo objects behave just like normal NumPy arrays, but with additional metadata, checks for dimensional consistency and automatic unit conversion. Read the documentation at http://neo.readthedocs.io/
PackageMaintainer	Fedora Project
PackageName	python3-neo
PackageRelease	2.fc32
PackageVersion	0.8.0
SHA-1	002FE731F130D730F3F1A94C931B421220E5E349
SHA-256	201604F118591909D133C29268E99BFAD3826A16BF730C0049D6B21E1884E679

Key	Value
MD5	E7B46548AA59CF6E2FF2CD62E7CE29D2
PackageArch	noarch
PackageDescription	Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats, including Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, and support for writing to a subset of these formats plus non-proprietary formats including HDF5. The goal of Neo is to improve interoperability between Python tools for analyzing, visualizing and generating electrophysiology data (such as OpenElectrophy, NeuroTools, G-node, Helmholtz, PyNN) by providing a common, shared object model. In order to be as lightweight a dependency as possible, Neo is deliberately limited to represention of data, with no functions for data analysis or visualization. Neo implements a hierarchical data model well adapted to intracellular and extracellular electrophysiology and EEG data with support for multi-electrodes (for example tetrodes). Neos data objects build on the quantities_ package, which in turn builds on NumPy by adding support for physical dimensions. Thus neo objects behave just like normal NumPy arrays, but with additional metadata, checks for dimensional consistency and automatic unit conversion. Read the documentation at http://neo.readthedocs.io/
PackageMaintainer	Fedora Project
PackageName	python3-neo
PackageRelease	4.fc33
PackageVersion	0.8.0
SHA-1	E594B3C91800995BA90A566B1444F74B3F90C1C1
SHA-256	12B8AC557E6D9108892461F15334F06BA5F946357604B4203B785122792F669A