old_contents: # Copyright 2022 Google LLC
  #
  # 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.
  
  
  """setup.py for AQT."""
  
  import os
  from setuptools import find_packages
  from setuptools import setup
  
  here = os.path.abspath(os.path.dirname(__file__))
  try:
    README = open(os.path.join(here, "README.md"), encoding="utf-8").read()
  except IOError:
    README = ""
  
  jax_legacy_install_requires = [
      "numpy>=1.16.4",
      "jax>=0.3.4",
      "flax>=0.4.1",
      "tensorflow>=2.3.1",
      "tensorflow-datasets>=4.5.2",
      "dacite>=1.6.0",
      "ml_collections>=0.1.1",
  ]
  
  setup(
      name="aqtp",
      version="0.0.6",
      description="AQT: Accurate Quantized Training",
      long_description="\n\n".join([README]),
      long_description_content_type="text/markdown",
      classifiers=[
          "Development Status :: 3 - Alpha",
          "Intended Audience :: Developers",
          "Intended Audience :: Science/Research",
          "License :: OSI Approved :: Apache Software License",
          "Programming Language :: Python :: 3.7",
          "Topic :: Scientific/Engineering :: Artificial Intelligence",
      ],
      keywords="",
      author="Cerebra Catalyst team",
      author_email="cerebra-catalyst-team@google.com",
      url="https://github.com/google/aqt",
      packages=find_packages(),
      zip_safe=False,
      extras_require={
          "jax_legacy": jax_legacy_install_requires,
      },
  )
  
new_contents: # Copyright 2022 Google LLC
  #
  # 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.
  
  
  """setup.py for AQT."""
  
  import os
  from setuptools import find_packages
  from setuptools import setup
  
  here = os.path.abspath(os.path.dirname(__file__))
  try:
    README = open(os.path.join(here, "README.md"), encoding="utf-8").read()
  except IOError:
    README = ""
  
  jax_legacy_install_requires = [
      "numpy>=1.16.4",
      "jax>=0.3.4",
      "flax>=0.4.1",
      "tensorflow>=2.3.1",
      "tensorflow-datasets>=4.5.2",
      "dacite>=1.6.0",
      "ml_collections>=0.1.1",
  ]
  
  setup(
      name="aqtp",
      version="0.0.7",
      description="AQT: Accurate Quantized Training",
      long_description="\n\n".join([README]),
      long_description_content_type="text/markdown",
      classifiers=[
          "Development Status :: 3 - Alpha",
          "Intended Audience :: Developers",
          "Intended Audience :: Science/Research",
          "License :: OSI Approved :: Apache Software License",
          "Programming Language :: Python :: 3.7",
          "Topic :: Scientific/Engineering :: Artificial Intelligence",
      ],
      keywords="",
      author="Cerebra Catalyst team",
      author_email="cerebra-catalyst-team@google.com",
      url="https://github.com/google/aqt",
      packages=find_packages(),
      zip_safe=False,
      extras_require={
          "jax_legacy": jax_legacy_install_requires,
      },
  )
  
subject: Increment the version number of AQTp package.