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Pull Request for generalizability templates #44

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Metadata-Version: 2.1
Name: spacetop-prep
Version: 0.1.dev0
Summary: shablona: a template for small scientific Python projects
Home-page: http://github.com/spatialtopology/spacetop_prep
Download-URL:
Author: Heejung Jung
Author-email: [email protected]
Maintainer: Heejung Jung
Maintainer-email: [email protected]
License: MIT
Platform: OS Independent
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Requires: numpy
Requires-Python: >= 3.7
Provides-Extra: physio
License-File: LICENSE.md



TODO replace with description for you

Shablona
========
Shablona is a template project for small scientific Python projects.

It contains software implementations of an analysis of some simple data, but
more importantly, it contains infrastructure for testing, documentation,
continuous integration and deployment, which can be easily adapted
to use in other projects.

To get started using these components in your own software, please go to the
repository README_.

.. _README: https://github.com/uwescience/shablona/blob/master/README.md

License
=======
``shablona`` is licensed under the terms of the MIT license. See the file
"LICENSE" for information on the history of this software, terms & conditions
for usage, and a DISCLAIMER OF ALL WARRANTIES.

All trademarks referenced herein are property of their respective holders.

Copyright (c) 2015--, Ariel Rokem, The University of Washington
eScience Institute.
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LICENSE.md
README.md
pyproject.toml
setup.py
spacetop_prep/__init__.py
spacetop_prep/version.py
spacetop_prep.egg-info/PKG-INFO
spacetop_prep.egg-info/SOURCES.txt
spacetop_prep.egg-info/dependency_links.txt
spacetop_prep.egg-info/requires.txt
spacetop_prep.egg-info/top_level.txt
spacetop_prep/physio/__init__.py
spacetop_prep/physio/c01_bidsifysort.py
spacetop_prep/physio/c02_save_separate_run.py
spacetop_prep/physio/p01_grouplevel_01SCL.py
spacetop_prep/physio/p01_grouplevel_02SCR.py
spacetop_prep/physio/archive/__init__.py
spacetop_prep/physio/archive/_binarize_channel.py
spacetop_prep/physio/archive/_extract_runs.py
spacetop_prep/physio/archive/_identify_boundary.py
spacetop_prep/physio/archive/c02_save_separate_run_WASABI.py
spacetop_prep/physio/archive/p01_group_level_analysis.py
spacetop_prep/physio/archive/p01_group_level_analysis_nonspaghetti.py
spacetop_prep/physio/archive/p01_group_level_analysis_rawSCL.py
spacetop_prep/physio/archive/p01_group_level_analysis_saveonset.py
spacetop_prep/physio/archive/p01_grouplevel.py
spacetop_prep/physio/archive/s02_extract_acq/__init__.py
spacetop_prep/physio/archive/s02_extract_acq/c01_extract_onset_TEST.py
spacetop_prep/physio/archive/s02_extract_acq/c01_extract_ttl_discovery.py
spacetop_prep/physio/archive/s02_extract_acq/c01_extract_ttl_onsets.py
spacetop_prep/physio/archive/s02_extract_acq/c02_plot_ttl_onsets.py
spacetop_prep/physio/archive/test/__init__.py
spacetop_prep/physio/archive/test/c01_identify_run_and_save.py
spacetop_prep/physio/archive/test/c02_identify_event_transition.py
spacetop_prep/physio/archive/test/c03_identify_ttl.py
spacetop_prep/physio/utils/__init__.py
spacetop_prep/physio/utils/checkfiles.py
spacetop_prep/physio/utils/initialize.py
spacetop_prep/physio/utils/preprocess.py
spacetop_prep/physio/utils/qcplots.py
spacetop_prep/physio/utils/ttl_extraction.py
spacetop_prep/physio/utils/tests/__init__.py
spacetop_prep/physio/utils/tests/test_initialize.py
spacetop_prep/qcplot/__init__.py
spacetop_prep/qcplot/bokeh_step01.py
spacetop_prep/redcap/__init__.py
spacetop_prep/redcap/r01_convert_redcap_pandas.py
spacetop_prep/redcap/r01_convert_redcap_pandas_allconsent.py
spacetop_prep/redcap/r01_convert_redcap_pandas_fourses.py
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numpy

[physio]
matplotlib
neurokit2
bioread
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