Initial release

Author: aklenitskiy

.gitignore

@@ -1,4 +1,7 @@
 __pycache__
 .vscode
 .pytest_cache
-.DS_Store
+.DS_Store
+*.egg-info
+dist/
+build/

LICENSE

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+MIT License
+
+Copyright (c) 2021 Anton Klenitskiy
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

setup.py

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+import setuptools
+
+with open("README.md", "r", encoding="utf-8") as readme_file:
+    long_description = readme_file.read()
+
+setuptools.setup(
+    name="diameter-clustering",
+    version="0.0.1",
+    author="Anton Klenitskiy",
+    author_email="ant-klen@yandex.ru",
+    description="Clustering with maximum distance between points inside clusters",
+    long_description=long_description,
+    long_description_content_type="text/markdown",
+    url="https://github.com/antklen/diameter-clustering",
+    packages=['diameter_clustering'],
+    classifiers=[
+        "Programming Language :: Python :: 3",
+        "License :: OSI Approved :: MIT License",
+        "Operating System :: OS Independent",
+        "Development Status :: 3 - Alpha",
+    ],
+    install_requires=[
+        'numpy',
+        'numpy_groupies',
+        'scikit_learn',
+        'scipy',
+        'tqdm'
+    ],
+)