Wheelodex » Projects » pyautomagic

pyautomagic

View on PyPI — Reverse Dependencies (0)

0.1.0 pyautomagic-0.1.0-py3-none-any.whl

Wheel Details

Project: pyautomagic
Version: 0.1.0
Filename: pyautomagic-0.1.0-py3-none-any.whl
Download: [link]
Size: 34291
MD5: 1daacb63c6e3b79ab5145c90b01b76cd
SHA256: 1a06e48a5dc4ba9db4ee79a83973c0b3d8ce175169c020bac9b0db6431186b84
Uploaded: 2020-01-15 23:50:51 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · dependency_links.txt

METADATA

Metadata-Version: 2.1
Name: pyautomagic
Version: 0.1.0
Summary: A Python3 package for eeg (pre)processing from Automagic.
Author: NDD19
Maintainer: Adam Li
Maintainer-Email: adam2392[at]gmail.com
Home-Page: https://github.com/NeuroDataDesign/pyautomagic
Project-Url: Documentation, https://github.com/NeuroDataDesign/pyautomagic/docs/
Project-Url: Source, https://github.com/NeuroDataDesign/pyautomagic
Project-Url: Tracker, https://github.com/NeuroDataDesign/pyautomagic/issues
License: MIT
Keywords: EEG,research tools,automated processing
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Classifier: Topic :: Scientific/Engineering
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: Implementation
Classifier: Natural Language :: English
Requires-Dist: numpy (>=1.14.5)
Requires-Dist: scipy (>=1.1.0)
Requires-Dist: scikit-learn (>=0.19.2)
Requires-Dist: pandas (>=0.23.4)
Requires-Dist: mne (>=0.19.2)
Requires-Dist: mne-bids (>=0.3)
Description-Content-Type: text/markdown
[Description omitted; length: 3716 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.6)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
pyautomagic/__init__.py sha256=oNdhmdWZgg_44sN82qO7Q7QuBTSXJftDnqHIQI6Fyxo 261
pyautomagic/base/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
pyautomagic/preprocessing/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
pyautomagic/preprocessing/performFilter.py sha256=b6glVcqgN6LALjxTzhdCs6W1rNyl_I55z00XCgo4Mbs 3599
pyautomagic/preprocessing/perform_EOG_regression.py sha256=qk4_uN4YrbwfNXlIb5OIo_1JdMvlRZUsSwI9AcOtlnE 1448
pyautomagic/preprocessing/preprocess.py sha256=whWisRekTx48E_hXPiEGNuJiJNNeYpKcwPFifTEnVa4 14524
pyautomagic/preprocessing/rpca.py sha256=xidncY9zQhi4_xz7rj7YkmVpIv9RfEnv_O-m_cZ1Py0 2898
pyautomagic/src/Block.py sha256=8jnR2XwBWnOE2zQEgIJUMEq-x40Ug1Y0i2__GKxcNlk 18513
pyautomagic/src/Config.py sha256=cUp1ucwIdh5b8YAxTnXomGEKuxgWrD-OUk9Na7Id8MM 3812
pyautomagic/src/Project.py sha256=iqmDxzgDmxPlvPW933qglGd_s8OLd4PGXEYWH1hyqGg 22568
pyautomagic/src/Subject.py sha256=U-Jg_6xEbfoZFeXjPjhgyL6_5_24AP00pujg8_1ueVo 2930
pyautomagic/src/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
pyautomagic/src/calcQuality.py sha256=hZYF2b7CAX8FwSluscEBpWyQMUMNoMii1rtRxZdooGw 4051
pyautomagic/src/rateQuality.py sha256=_X3TYY3bCG1OXdL_pnrmuu2y7-pbOonwZpTOhflaqoo 5505
pyautomagic/visualization/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/pipeline/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/pyautomagic/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/pyautomagic/testRateQuality.py sha256=NGRikNPRdg48OGldBpBiULAJOk1C4eCk64qjzhh_zNU 889
tests/pyautomagic/test_EOG_Regression.py sha256=zy6UWAGDJzMkVSXOwCBvGsFs6wUsWEW241_KWwi1Ryw 591
tests/pyautomagic/test_Subject.py sha256=mpvPP424Hm2H5C5XNIC0Pj5y31OpHPL6_tuZlkbb8Q0 1082
tests/pyautomagic/test_block.py sha256=W6Dgrh2HJw--9l2wsE7fth7bU8ez2cwPokEeUM10LS0 5263
tests/pyautomagic/test_calcQuality.py sha256=o84bUB6bu7jGrNmNMgZwsBg1TAOw5RKBkai8Rz5NZlw 2610
tests/pyautomagic/test_dummy.py sha256=i8pHRsM77F587rlMcreXZ0valcx3JcnmutM1NR348Os 258
tests/pyautomagic/test_performEOGRegression.py sha256=pbO4rVlA6T0b95cUOEWjfRVTe3ilokXDhMBmSsGtMTA 1639
tests/pyautomagic/test_performFilt.py sha256=TxU4a_qM1fHBkRyklHDFOwWzr5oGvWbw6v0zdW3Jl2Y 1931
tests/pyautomagic/test_performRPCA.py sha256=rmzS5zH60kDD7KqHPqSwvIZfEhmDF21_kTFIcxn83vA 3566
tests/pyautomagic/test_preprocess.py sha256=gHQ10IHyOmlK2A3Te6MH_TJHufhJkkVkYONDwFBwuBo 2447
tests/pyautomagic/test_project.py sha256=FfB7GRQqFAW1b9OPWO88PHRaBEduDqBwfgzHceG117w 3540
pyautomagic-0.1.0.dist-info/LICENSE sha256=9vQKZVs29VfaMJb7rcBDnWktLHO8kjLft-mkXXyKUF0 1074
pyautomagic-0.1.0.dist-info/METADATA sha256=8lIDZEA09SoKFejWQo3Qh3iQQYc3l4b8JGTOaXtF0_M 5177
pyautomagic-0.1.0.dist-info/WHEEL sha256=p46_5Uhzqz6AzeSosiOnxK-zmFja1i22CrQCjmYe8ec 92
pyautomagic-0.1.0.dist-info/dependency_links.txt sha256=Q95-VBqAQdIrTIBA19hKtoypEcVWiPqCmdM2j3EJT0M 67
pyautomagic-0.1.0.dist-info/top_level.txt sha256=cgvtpE6NPWzIuMAEY4c4xNHMvDdjluYbBKwbyuzM-OA 18
pyautomagic-0.1.0.dist-info/RECORD — —

top_level.txt

pyautomagic
tests
git+https://github.com/NeuroDataDesign/pyautomagic#egg=pyautomagic