Moved the metadata into setup.cfg

pyproject.toml

@@ -0,0 +1,5 @@
+[build-system]
+requires = ["setuptools>=42", "wheel", "setuptools_scm[toml]>=3.4.3"]
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools_scm]

setup.cfg

@@ -1,13 +1,35 @@
 [metadata]
-# This includes the license file(s) in the wheel.
-# https://wheel.readthedocs.io/en/stable/user_guide.html#including-license-files-in-the-generated-wheel-file
-license_files = LICENSE.txt
+name = cvae
+author = Max Frenzel
+author_email = maxfrenzel+cvae@gmail.com
+description = CompressionVAE: General purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder.
+keywords =
+    vae
+    variational
+    autoencoder
+    manifold
+    dimensionality
+    reduction
+    compression
+    tensorflow
+url = https://github.com/maxfrenzel/CompressionVAE
+long_description = file: README.md
+long_description_content_type = text/markdown
+classifiers =
+    Programming Language :: Python :: 3
+    License :: OSI Approved :: MIT License
+    Operating System :: OS Independent
+
+[options]
+packages = find:
+install_requires =
+    numpy
+    matplotlib
+    joblib
+    tqdm
+    tensorflow>=1,<2
+python_requires = >=3.6
 
 [bdist_wheel]
-# This flag says to generate wheels that support both Python 2 and Python
-# 3. If your code will not run unchanged on both Python 2 and 3, you will
-# need to generate separate wheels for each Python version that you
-# support. Removing this line (or setting universal to 0) will prevent
-# bdist_wheel from trying to make a universal wheel. For more see:
-# https://packaging.python.org/guides/distributing-packages-using-setuptools/#wheels
-universal=0
+universal = 0
+

setup.py

@@ -1,31 +1,5 @@
 import setuptools
 
-with open("README.md", "r") as fh:
-    long_description = fh.read()
 
-setuptools.setup(
-    name="cvae",
-    version="0.0.3",
-    author="Max Frenzel",
-    author_email="maxfrenzel+cvae@gmail.com",
-    description="CompressionVAE: General purpose dimensionality reduction and manifold learning tool based on "
-                "Variational Autoencoder.",
-    long_description=long_description,
-    long_description_content_type="text/markdown",
-    url="https://github.com/maxfrenzel/CompressionVAE",
-    packages=setuptools.find_packages(),
-    classifiers=[
-        "Programming Language :: Python :: 3",
-        "License :: OSI Approved :: MIT License",
-        "Operating System :: OS Independent",
-    ],
-    python_requires='>=3.6',
-    install_requires=[
-        'numpy',
-        'matplotlib',
-        'joblib',
-        'tqdm',
-        'tensorflow>=1,<2'
-    ],
-    keywords='vae variational autoencoder manifold dimensionality reduction compression tensorflow'
-)
+if __name__ == "__main__":
+    setuptools.setup()