# Copyright 2022 The Orbax Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

"""Install Orbax."""

import setuptools

# Get the long description from the README file.
with open('README.md') as fp:
  _LONG_DESCRIPTION = fp.read()

setuptools.setup(
    name='orbax',
    version='0.0.18',
    description='Orbax',
    long_description=_LONG_DESCRIPTION,
    long_description_content_type='text/markdown',
    author='Google Inc.',
    author_email='no-reply@google.com',
    url='http://github.com/google/orbax',
    license='Apache 2.0',
    packages=setuptools.find_packages(),
    package_data={
        '': ['**/*.gin'],  # not all subdirectories may have __init__.py.
    },
    scripts=[],
    install_requires=[
        'absl-py',
        'cached_property',
        'dataclasses',
        'importlib_resources',
        'etils',
        'flax',
        'importlib_resources',
        'jax',
        'jaxlib',
        'numpy',
        'pyyaml',
        'tensorstore >= 0.1.20',
    ],
    extras_require={
        'test': ['pytest'],
    },
    classifiers=[
        'Development Status :: 4 - Beta',
        'Intended Audience :: Developers',
        'Intended Audience :: Science/Research',
        'License :: OSI Approved :: Apache Software License',
        'Programming Language :: Python',
        'Topic :: Scientific/Engineering :: Artificial Intelligence',
    ],
    keywords='JAX machine learning',
)

# Copyright 2022 The Orbax Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

"""Install Orbax."""

import setuptools

# Get the long description from the README file.
with open('README.md') as fp:
  _LONG_DESCRIPTION = fp.read()

setuptools.setup(
    name='orbax',
    version='0.0.18',
    description='Orbax',
    long_description=_LONG_DESCRIPTION,
    long_description_content_type='text/markdown',
    author='Google Inc.',
    author_email='no-reply@google.com',
    url='http://github.com/google/orbax',
    license='Apache 2.0',
    packages=setuptools.find_packages(),
    package_data={
        '': ['**/*.gin'],  # not all subdirectories may have __init__.py.
    },
    scripts=[],
    install_requires=[
        'absl-py',
        'cached_property',
        'importlib_resources',
        'etils',
        'flax',
        'importlib_resources',
        'jax',
        'jaxlib',
        'numpy',
        'pyyaml',
        'tensorstore >= 0.1.20',
    ],
    extras_require={
        'test': ['pytest'],
    },
    classifiers=[
        'Development Status :: 4 - Beta',
        'Intended Audience :: Developers',
        'Intended Audience :: Science/Research',
        'License :: OSI Approved :: Apache Software License',
        'Programming Language :: Python',
        'Topic :: Scientific/Engineering :: Artificial Intelligence',
    ],
    keywords='JAX machine learning',
)

Remove `dataclasses` from dependency