Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/neo/test/iotest/test_plexonio.py |
FileSize | 535 |
MD5 | 2BF9B707BE87339E5AD165BB9D0B39E5 |
SHA-1 | 0F07881FBAF5CB40FBB15009D9A70E730FA091F4 |
SHA-256 | C8A7AF4BDEE55EFD5EC418630BDE6A3990D9B5259C7D5907F5AC65D4A6461C12 |
SSDEEP | 12:icKyp/APRjCyzAyJ+idvucdgHcGwQ5z4wShn4wYa4wWY5s2pV7u:ll/APR2BgluWgeQR4jn4W4EHpVS |
TLSH | T12BF0B437C827158157E951CEAF1465607232D94F4FC05439BFDCC3285F8291457A8A9C |
hashlookup:parent-total | 3 |
hashlookup:trust | 65 |
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 |
---|---|
FileSize | 1138884 |
MD5 | 983A0AA5E55D95BB3BC0BAF2C39B5D8E |
PackageDescription | Python IO library for electrophysiological data formats NEO stands for Neural Ensemble Objects and is a project to provide common classes and concepts for dealing with electro-physiological (in vivo and/or simulated) data to facilitate collaborative software/algorithm development. In particular Neo provides: a set a classes for data representation with precise definitions, an IO module with a simple API, documentation, and a set of examples. . NEO offers support for reading data from numerous proprietary file formats (e.g. Spike2, Plexon, AlphaOmega, BlackRock, Axon), read/write support for various open formats (e.g. KlustaKwik, Elan, WinEdr, WinWcp, PyNN), as well as support common file formats, such as HDF5 with Neo-structured content (NeoHDF5, NeoMatlab). . Neo's IO facilities can be seen as a pure-Python and open-source Neuroshare replacement. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python3-neo |
PackageSection | python |
PackageVersion | 0.7.2-2 |
SHA-1 | 967E0A9367A243B475794753EADBC0454D54C742 |
SHA-256 | B2A9448C493E9FFB0A5B7A245A13F0BB33BEC7B35CA1E850080C51B2626A7F47 |
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 |