For each include line referencing a _py39 file or directory in docs_src, replace
    the _py39 label with _py310.
    """
    include_pattern = re.compile(r"\{[^}]*docs_src/[^}]*_py39[^}]*\.py[^}]*\}")
    count = 0
    for md_file in sorted(en_docs_path.rglob("*.md")):
        content = md_file.read_text(encoding="utf-8")
        if "_py39" not in content:

#
# Here is how to choose your TFCI value:
# 1. A Python version must come first, because other scripts reference it.
#      Ex. py39  -- Python 3.9
#      Ex. py310 -- Python 3.10
#      Ex. py311 -- Python 3.11
#      Ex. py312 -- Python 3.12
# 2. Choose the platform, which corresponds to the version of TensorFlow to
#    build. This should also match the system you're using--you cannot build

Austin Anderson <******@****.***> 1704849822 -0800

Austin Anderson <******@****.***> 1704849822 -0800

A. Unique TensorFlower <******@****.***> 1772191526 -0800

Ezekiel Calubaquib <******@****.***> 1744235734 -0700

Austin Anderson <******@****.***> 1704849822 -0800

  #    runner: 'linux-x86-n2-16'
  #    tfci: 'py313,linux_x86,rbe'

  #build-and-test-linux-x86-cuda:
  #  uses: ./.github/workflows/build-reusable.yml
  #  with:
  #    runner: 'linux-x86-n4-32'
  #    tfci: 'py313,linux_x86_cuda'

  #build-and-test-arm64:
  #  uses: ./.github/workflows/build-reusable.yml
  #  with:
  #    runner: 'linux-arm64-c4a-16'
  #    tfci: 'py313,linux_arm64,rbe'

  build-and-test-windows-x86:

TFCI_INSTALLER_WHL_NIGHTLY_PROJECT_NAME="tf_nightly_cpu"
# Supported wheel tags are stored as strings in TFCI_INSTALLER_WHL_TAGS
# separated by spaces.
TFCI_INSTALLER_WHL_TAGS="cp39-cp39-win_amd64 cp310-cp310-win_amd64 cp311-cp311-win_amd64 cp312-cp312-win_amd64"

TFCI_INSTALLER_WHL_PROJECT_NAME="tensorflow"
TFCI_INSTALLER_WHL_NIGHTLY_PROJECT_NAME="tf_nightly"
# Supported wheel tags are stored as strings in TFCI_INSTALLER_WHL_TAGS
# separated by spaces.
TFCI_INSTALLER_WHL_TAGS="cp39-cp39-win_amd64 cp310-cp310-win_amd64 cp311-cp311-win_amd64 cp312-cp312-win_amd64"