Key | Value |
---|---|
FileSize | 1094678 |
MD5 | 5175C083002E155BD502B3EFBB6E5C1D |
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 | python-neo |
PackageSection | python |
PackageVersion | 0.3.3-2 |
SHA-1 | 907483D3B521A9899D9197D3360A11E2AE45BEC0 |
SHA-256 | 2D42776C55A91E1CEFCF6E39921933BE967B00BA4F24EFEE934CCA0B4E583745 |
hashlookup:children-total | 165 |
hashlookup:trust | 50 |
The searched file hash includes 165 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/neo/io/plexonio.py |
FileSize | 15193 |
MD5 | B63BC6D8C208B79DE466A3C7BC056F2C |
SHA-1 | 0032BA67D2E46EC6B54BCE0D08D5EA38AB16F01F |
SHA-256 | A053113C0A64FAFA41A9CC8AAFEAF81487DE0083F5829BAF080CE2A069D981EB |
SSDEEP | 384:AgPMjgnyV/LsVNyblP3vM8PeoOxrtj3zkBVvX:AgPMjqO/wvy53vM8oxpjj+vX |
TLSH | T11F623108D55724AD9013B11EC8E72B0106ACB74BE945A5553C8CB11FEFD8B6CE6B2FA8 |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/neo/core/eventarray.py |
FileSize | 3834 |
MD5 | 34E94BBD908737E064456DAF70FADA7C |
SHA-1 | 01621CCD2BD38BA181149AD173F7C383D6D7751E |
SHA-256 | 45E50151E054EEDDACB73711096A29C5B8130B1E226396FC475259F5EFCF59EE |
SSDEEP | 48:v2pODEIgY98W7nkTwfu4B6mpIKGulc324Scdw75Nf1cJ8JZdy6n4XLuRHNOGub4:v0Ofg+7IkB6mpFlW24ScdwjLKrSRHFL |
TLSH | T13F8145581983257287C7409B176CB44163E5679B2609316CBCFE1EBC2F45A2463F1EBF |
Key | Value |
---|---|
FileName | snap-hashlookup-import/usr/share/doc/python3-ws4py/html/_static/sphinxdoc.css |
FileSize | 6201 |
MD5 | C6E58FA72177ABA4808595D317634EF5 |
SHA-1 | 05812E7495585B995C08E2BDA0A2743FF62351C2 |
SHA-256 | 616D7D21523EB0C031D95DC4B9B93EBAECE4DE7EBCDF7C1D2566264CC61827BA |
SHA-512 | 2474B87516F3D6F7A5F4A20757036991716174644DE9ADC42FE01F8A9BF60F6630D0358EA4839FB68F677635B5DD23CE608369B5293228DDD93621192EBBFED8 |
SSDEEP | 96:8Y+a/e2/HbRXLxaVxTr9N6ONuQgRnCwioqV5enSp3YBodC:eah/HbRXLcVxWONupRCwitp6iC |
TLSH | T14BD1EE14AFA30812A90BC2BAAFFDD660F36960534E4DDE3F7E6973944F0926411BD648 |
insert-timestamp | 1728214186.2454638 |
mimetype | text/plain |
source | snap:yPoSggsDOxtrrKgU7jsAkjUF84ijiaLB_165 |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/neo/core/event.py |
FileSize | 1798 |
MD5 | 4C163576E045CB6E9FB0CD5243F85C3A |
SHA-1 | 059359E48851ADA4C2E815DD8E2B975AF403EC7D |
SHA-256 | C91FDD41EB1C4FBC32D09E43DC5A39AD8CD36B32F170FD22C9B868D107CF5A55 |
SSDEEP | 24:lRSEFvoPL9/APR2pSEFB4VwiIxZR7WMV8SZST77VtAOqPUeKeUX2pAAgpGulceRT:v9FvK9EG9FB4set4B6mpEpGulc3hLwEG |
TLSH | T1E93141591AC3612386CF40EB7B2D9486A772728B0B16616CB4FE0D6C0F02A5061E2C7E |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/neo/test/iotest/test_klustakwikio.py |
FileSize | 15303 |
MD5 | 1EC7EFF7FEDB31C6E52529AE54FD45D8 |
SHA-1 | 06934FAAB67D209A35C5FAFCA1213BDDB05933CA |
SHA-256 | 4C9EB78294E1216FB3DE0A8BC6710EB8A4BA915447B7054CD1DD3731B1E75801 |
SSDEEP | 384:f533t649f2/Z8F3A+qWMiD0kNkNNsjfJtkmwd:f5N6eiS9dQigk6NNMrkmwd |
TLSH | T14E629578C1031E456367F1DE085F18456249E87B4F899137F5BEA208BF1A668B2EBCF4 |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/neo/test/test_analogsignal.py |
FileSize | 24738 |
MD5 | C1237C71024300ABC91FADBB258A670C |
SHA-1 | 0868B44178ECF5E945F2B4E418818BFDF72F479F |
SHA-256 | 09F5FBBB7311ED34A3B03BBDC880CB567282B86E1DC0EA9D94AF05499D2BD3BF |
SSDEEP | 384:bTfzwsTGvCXBEXPiu3sJp29uLLLoLLRLLLCzEPi49QtpuThb8CRiTOQyQSQQT7T/:8sTGHdsDLaJFiTOQyQSQQT7TwTM |
TLSH | T112B2AB605A534D10A297BD3F452EF90B9E2FAE03409C2425B4BEC7857F141B4E2EECB6 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-neo/html/_images/multi_segment_diagram.png |
FileSize | 66651 |
MD5 | 12AB2A2BA3DBF3639AB70AFC5CBBBD0C |
SHA-1 | 08C6D2176931BC840F132499BB1B2168E2216693 |
SHA-256 | 0ADBFFF44B15546519B9ED4064328F69A01CD761BDD9A182486978A0F271334C |
SSDEEP | 1536:MSGKOkfuNW1qtY4cCGqO+e8NaFLaEVILYbrgvb/Hz3BoB9pQJKmsso:pLGNW1onGqOwaFLa9xbc+KEo |
TLSH | T1C053124AADB309B7EC931BF867BB0DE53BE98FD01582CD0D1659B41D42C6165BB20317 |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/neo/test/iotest/test_tdtio.py |
FileSize | 1331 |
MD5 | A1FE4B48E8CFA0FE0C244746E2583458 |
SHA-1 | 0922B4B3248656493A2EF152725566A0E9188D39 |
SHA-256 | 6752DC3F4AE70C42D6EE25922AC03B5E9B12E85E66691B0B5787EE0C5F964C7A |
SSDEEP | 24:lMW/APR2BXFwluYaICNM2Qj+T6x5j+JPdVvSdJdAdrbhSho1pVS:OWEAOT2yjAU5j+JPXSP61dSho1fS |
TLSH | T1D421DC21AC739703313BAB598D142BD41270946B4F82AAAFB9BCC2205F4C33A8D60D0C |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/neo/io/blackrockio.py |
FileSize | 17961 |
MD5 | E4AAA606D7F3E691425F66CE79CD77D3 |
SHA-1 | 0A6B8C31637264E3A4F1A402AC826E05F8027DF1 |
SHA-256 | EBC3D6F80468280AEE5934D65E3CE85B0FFF37A838412DEE82612C339ABCE10A |
SSDEEP | 384:FbipWPRuSyaFaDnOSmDnprB4cH4DsfnARmrpgWM5Dbvtlytv:Fb0WPRuSdFsDgpm3sfnARmrpgWM5Dbvc |
TLSH | T1D982B84AF91646254203A85286DE6D03A31DB25BD78D853439FCE24CBFA8564F3F4FE8 |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/neo/io/brainwaredamio.py |
FileSize | 9494 |
MD5 | 827A93DB878362CEE39359DD2F76EFFF |
SHA-1 | 0BFA050326C91E2A6DB4BA8B28C4532F6CE29CD7 |
SHA-256 | A65D67E8E18B4E50F913500A5A8918E061EED869E11865D0F517FEC3149C8AC9 |
SSDEEP | 192:jOd836h78O5+4yzoNHr8wfG36d3GpeNmac4jFWVqVSUNqh:jO+367JaoNHgSkpeNmac4ZWVqVSUNqh |
TLSH | T1E912B606AD9B27280606D6FA054F2542C70480EB3B95628874ECD674BF8DF74B1FCEE9 |