Cleaning for 0.3.1

docs/HISTORY.md

@@ -8,7 +8,7 @@ Around 2016-2017, Luke Sjulson started *TSToolbox2*, still in Matlab and which i
 In 2018, Francesco started neuroseries, a Python package built on Pandas. It was quickly adopted in Adrien's lab, especially by Guillaume Viejo, a postdoc in the lab. Gradually, the majority of the lab was using it and new functions were constantly added.
 In 2021, Guillaume and other trainees in Adrien's lab decided to fork from neuroseries and started *pynapple*. The core of pynapple is largely built upon neuroseries. Some of the original changes to TSToolbox made by Luke were included in this package, especially the *time_support* property of all ts/tsd objects.
 
-0.2.5 (2022-12-08)
+0.3.1 (2022-12-08)
 ------------------
 
 - 	Core functions rewritten with Numba

pynapple/__init__.py

@@ -1,4 +1,4 @@
-__version__ = "0.3.0"
+__version__ = "0.3.1"
 from .core import *
 from .io import *
 from .process import *

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "pynapple"
-version = "0.3.0"
+version = "0.3.1"
 description = "PYthon Neural Analysis Package Pour Laboratoires d’Excellence"
 readme = "README.md"
 authors = [{ name = "Guillaume Viejo", email = "[email protected]" }]

setup.py

@@ -0,0 +1,67 @@
+#!/usr/bin/env python
+
+"""The setup script."""
+
+from setuptools import setup, find_packages
+
+with open('README.md') as readme_file:
+    readme = readme_file.read()
+
+with open('docs/HISTORY.md') as history_file:
+    history = history_file.read()
+
+requirements = [
+        'pandas>=1.0.3',
+        'numba>=0.46.0',
+        'numpy>=1.17.4',
+        'scipy>=1.3.2',
+        'pynwb',
+        'tabulate',
+        'pyqt5',
+        'pyqtgraph',
+        'h5py',
+        'tifffile',
+        'zarr'
+        ]
+
+test_requirements = [
+    'pytest',
+    'isort',
+    'pip-tools',
+    'pytest',
+    'flake8',
+    'coverage'
+    ]
+
+setup(
+    author="Guillaume Viejo",
+    author_email='[email protected]',
+    python_requires='>=3.8',
+    classifiers=[
+        'Development Status :: 3 - Alpha',
+        'Intended Audience :: Science/Research',
+        'License :: OSI Approved :: GNU General Public License v3 (GPLv3)',
+        'Natural Language :: English',
+        'Programming Language :: Python :: 3',
+        'Programming Language :: Python :: 3.8',
+        'Programming Language :: Python :: 3.9',
+        'Programming Language :: Python :: 3.10',
+    ],
+    description="PYthon Neural Analysis Package Pour Laboratoires d’Excellence",
+    install_requires=requirements,
+    license="GNU General Public License v3",
+    # long_description='pynapple is a Python library for analysing neurophysiological data. It allows to handle time series and epochs but also to use generic functions for neuroscience such as tuning curves and cross-correlogram of spikes. It is heavily based on neuroseries.' 
+    # + '\n\n' + history,
+    long_description=readme,
+    include_package_data=True,
+    keywords='neuroscience',
+    name='pynapple',
+    packages=find_packages(include=['pynapple', 'pynapple.*']),
+    test_suite='tests',
+    tests_require=test_requirements,
+    url='https://github.com/PeyracheLab/pynapple',
+    version='v0.3.1',
+    zip_safe=False,
+    long_description_content_type='text/markdown',
+    download_url='https://github.com/PeyracheLab/pynapple/archive/refs/tags/v0.3.1.tar.gz'
+)