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PynamicGain

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0.0.9 PynamicGain-0.0.9-py3-none-any.whl

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Project: PynamicGain
Version: 0.0.9
Filename: PynamicGain-0.0.9-py3-none-any.whl
Download: [link]
Size: 33690
MD5: fb382bc1a1e0eaa007da03e548eab3e9
SHA256: 36387c8a74ef7f253c2afdb6ef7250f32d6ad871552a44579a70ef9d96c8ce8a
Uploaded: 2024-06-01 00:29:43 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: PynamicGain
Version: 0.0.9
Summary: Dynamic Gain input generation for distributed PClamp setups.
Author: Andreas Neef, Stefan Pommer
Author-Email: Friedrich Schwarz <friedrichschwarz[at]unigoettingen.de>
Maintainer-Email: Friedrich Schwarz <friedrichschwarz[at]unigoettingen.de>
Project-Url: Repository, https://github.com/fschwar4/pynamicgain
Project-Url: Documentation, https://fschwar4.github.io/pynamicgain/
Project-Url: Homepage, https://fschwar4.github.io/pynamicgain/
Project-Url: Bug Tracker, https://github.com/fschwar4/pynamicgain/issues
Project-Url: Changelog, https://github.com/fschwar4/pynamicgain/blob/main/CHANGELOG.md
Keywords: neuroscience,electrophysiology,patch clamp,scientific software,data analysis,dynamic gain
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: License :: OSI Approved :: GNU Affero General Public License v3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.11
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: scipy
Requires-Dist: numpy
Requires-Dist: tomli
Requires-Dist: numba
Requires-Dist: pyyaml
Requires-Dist: pyabf
Requires-Dist: tomli-w
Requires-Dist: tqdm
Requires-Dist: docopt
Requires-Dist: myst-parser; extra == "docs"
Requires-Dist: pydata-sphinx-theme; extra == "docs"
Requires-Dist: pylint; extra == "docs"
Requires-Dist: sphinx; extra == "docs"
Requires-Dist: sphinx-autodoc-typehints; extra == "docs"
Requires-Dist: jupyterlab; extra == "interactive"
Requires-Dist: ipykernel; extra == "interactive"
Provides-Extra: docs
Provides-Extra: interactive
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 399 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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pynamicgain/__main__.py sha256=LnUrzZWwVO5kUrboenFuCoHkLs83Gwn2sLwpKo9sAzw 5718
pynamicgain/analysis.py sha256=EucRn220dOJAx45yprkuQGbY1RXwWdxs_nw94LQnpE8 6648
pynamicgain/new_setup.py sha256=hNt-HrrXhLfoYKAeYMaiAfM7ZIvu0MT2fVn33GAWiMc 8069
pynamicgain/stimulus_generation.py sha256=nTivyruiw8usayTU9a-ig5W4F13kHpTe_CxJdD0HIys 6571
pynamicgain/default_configs/default_configs.toml sha256=P_d5V15kKpw7jGbBk72lMa8gBUG9-OT307-C4Z4Bxd4 3286
pynamicgain/default_configs/matploltlib.mplstyle sha256=sOs8V8jhq-lWmCAtuZPy0HX0KjRMiU7H27TxjI5j4kw 6744
PynamicGain-0.0.9.dist-info/LICENSE sha256=hIahDEOTzuHCU5J2nd07LWwkLW7Hko4UFO__ffsvB-8 34523
PynamicGain-0.0.9.dist-info/METADATA sha256=AG5CwMVS-GnuEe9L5jBP2J2_bXTYyHsPDdDSXLzlYlY 2048
PynamicGain-0.0.9.dist-info/WHEEL sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ 92
PynamicGain-0.0.9.dist-info/entry_points.txt sha256=R7ZBGslhfO5elD94lFlDzBYN1PFg97L-Ok8MghiXuKw 266
PynamicGain-0.0.9.dist-info/top_level.txt sha256=Jat_k6ZuBbeYam3T6LzHSP8_b-zQXS6v_17yPKlJQ18 12
PynamicGain-0.0.9.dist-info/RECORD — —

top_level.txt

pynamicgain

entry_points.txt

[console_scripts]
pydg_analyse = pynamicgain.__main__:analyse
pydg_generate = pynamicgain.__main__:generate
pydg_generate_analyse = pynamicgain.__main__:generate_analyse
pydg_help = pynamicgain.__main__:help
pydg_new_setup = pynamicgain.new_setup:initiate_new_setup