Wheelodex » Projects » load-confounds

load-confounds

View on PyPI — Reverse Dependencies (2)

0.12.0 load_confounds-0.12.0-py3-none-any.whl

Wheel Details

Project: load-confounds
Version: 0.12.0
Filename: load_confounds-0.12.0-py3-none-any.whl
Download: [link]
Size: 64857
MD5: 8d8479b64c70fc28ab30e9b2385869cc
SHA256: 017c65650e254da32917441fddd8f78fe3142063d06678cc52303600071c688c
Uploaded: 2021-08-05 15:49:18 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: load-confounds
Version: 0.12.0
Summary: load fMRIprep confounds in python
Maintainer: Pierre Bellec
Maintainer-Email: pierre.bellec[at]gmail.com
Home-Page: https://github.com/simexp/load_confounds
Project-Url: Bug Reports, https://github.com/simexp/load_confounds/issues
Project-Url: Funding, https://cneuromod.ca
Project-Url: Source, https://github.com/simexp/load_confounds
License: MIT
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.5
Requires-Dist: numpy (>=1.17.4)
Requires-Dist: pandas (>=0.25.3)
Requires-Dist: scikit-learn (>=0.21.3)
Requires-Dist: scipy (>=1.3.2)
Requires-Dist: nilearn (>=0.7.1)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 20082 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.36.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
load_confounds/__init__.py sha256=JnAd_Wj_lbKjkvZfjqUsLeMH7fSsWS6Z_Y_bMfqHXAQ 282
load_confounds/compcor.py sha256=rYci5_ite8QbXtgaXPMI9hd02RKpk7LTQYa-rUNePIs 3076
load_confounds/confounds.py sha256=E-a0bGQWv6x412vmjOkJ3_-O0nE6KAjkCaOp4RrZJNU 8678
load_confounds/parser.py sha256=i45bP0hqD1ZoT_WpvPmDpLML-XQlmU0HuGHv-IxH-4E 13136
load_confounds/strategies.py sha256=1Tm85-JaXElNyMB02ZzCFKPzFz_YpOkToF8YFUb9uRE 13712
load_confounds/data/__init__.py sha256=QeiOO9TYvkteHGmNZH7yH0NR5A2d-Uvr1ZzUIGZhc5I 74
load_confounds/data/invalid_desc-confounds_regressors.tsv sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
load_confounds/data/invalid_desc-confounds_timeseries.tsv sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
load_confounds/data/invalid_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz sha256=fr33KH_PLPzGy-Rac2iwJUUFgjPvwGFKZZ3K1yFEdhw 91
load_confounds/data/missing_desc-confounds_regressors.tsv sha256=Tvz2I-I-yLJmONgRKe3552hyHew16ffJNarlk42BKzM 4603
load_confounds/data/missing_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz sha256=fr33KH_PLPzGy-Rac2iwJUUFgjPvwGFKZZ3K1yFEdhw 91
load_confounds/data/noconfound_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz sha256=fr33KH_PLPzGy-Rac2iwJUUFgjPvwGFKZZ3K1yFEdhw 91
load_confounds/data/test_desc-confounds_regressors.tsv sha256=p5luc67nK7YSUkZu_NjUKyM83ZqvDwK0m9P-gtCqIpo 79561
load_confounds/data/test_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz sha256=fr33KH_PLPzGy-Rac2iwJUUFgjPvwGFKZZ3K1yFEdhw 91
load_confounds/data/test_space-MNI152NLin2009cAsym_desc-smoothAROMAnonaggr_bold.nii.gz sha256=fr33KH_PLPzGy-Rac2iwJUUFgjPvwGFKZZ3K1yFEdhw 91
load_confounds/tests/__init__.py sha256=LopnSAiOP23BM53K1QjeOe1a4tB7Odfo6DWSXINI7i4 55
load_confounds/tests/test_parser.py sha256=gka7k_9KEDnv-Z8JlItYTvR3fO5D_Rjn9YRq4z70K_4 14415
load_confounds/tests/test_strategies.py sha256=5jWa6Vy9y9gLCzFEkt7syqNjuxve-T_XgJNpGWSLRMQ 7336
load_confounds-0.12.0.dist-info/LICENSE sha256=VfbqW401TFCPQqKlQDCI2kMyRt8kcq24hHfivsEmiH4 1084
load_confounds-0.12.0.dist-info/METADATA sha256=v_JSJtle0UA-QAKQ4zfgJBCpP4VitPuxnvp8rxRcBXI 21336
load_confounds-0.12.0.dist-info/WHEEL sha256=OqRkF0eY5GHssMorFjlbTIq072vpHpF60fIQA6lS9xA 92
load_confounds-0.12.0.dist-info/top_level.txt sha256=mE5gqvYtPgrxZrGrbTJLLUqhDf5jDIVBJCDx81PMoBA 15
load_confounds-0.12.0.dist-info/RECORD — —

top_level.txt

load_confounds