```
      load("@python//3.11:defs.bzl",
           compile_pip_requirements_3_11 = "compile_pip_requirements")
   ```

   Add a new entry for the loaded `compile_pip_requirements`, e.g.

   ```
      compile_pip_requirements_3_11(
          name = "requirements_3_11",
          extra_args = ["--allow-unsafe"],
          requirements_in = "requirements.in",

    name = "requirements_3_10",
    extra_args = ["--allow-unsafe"],
    requirements_in = REQUIREMENTS_FILE_NAME,
    requirements_txt = "requirements_lock_3_10.txt",
)

compile_pip_requirements_3_11(
    name = "requirements_3_11",
    extra_args = ["--allow-unsafe"],
    requirements_in = REQUIREMENTS_FILE_NAME,
    requirements_txt = "requirements_lock_3_11.txt",
)

compile_pip_requirements_3_12(

  val okhttp = currentOkHttp(ianaSuitesNew)

  val okHttp_4_10 = historicOkHttp("4.10")
  val okHttp_3_14 = historicOkHttp("3.14")
  val okHttp_3_13 = historicOkHttp("3.13")
  val okHttp_3_11 = historicOkHttp("3.11")
  val okHttp_3_9 = historicOkHttp("3.9")

  val currentVm = currentVm(ianaSuitesNew)

  val conscrypt =
    if (includeConscrypt) {
      Security.addProvider(Conscrypt.newProvider())

Example: `/tmp/tensorflow-2.14.0-cp311-cp311-linux_x86_64.whl`

`python_version`: The target Python version, replacing `.` with `_`.
Example: For Python 3.11, use `3_11`

The script performs the following steps:

1. Navigates to the `../requirements_updater` directory.
2. Creates a `requirements_wheel_test.in` file and specifies the path
to the actual TensorFlow wheel.
3. Creates a `requirements_lock_<python_version>.txt` file.

# TODO(b/304751256): Adjust the numpy pin to a single version, when ready
numpy ~= 1.23.5 ; python_version <= "3.11"
numpy ~= 1.26.0 ; python_version >= "3.12"
wheel ~= 0.41.2
h5py >= 3.10.0
lit ~= 17.0.2
opt_einsum == 3.3.0
astunparse == 1.6.3
dill == 0.3.7
astor == 0.7.1
typing_extensions == 4.8.0
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0

# Install tensorboard, and keras

#
# 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
#    the TF MacOS package from Linux.

  fun <T : Any> tag(type: KClass<T>): T? = type.java.cast(tags[type])

  /**
   * Returns the tag attached with `Object.class` as a key, or null if no tag is attached with
   * that key.
   *
   * Prior to OkHttp 3.11, this method never returned null if no tag was attached. Instead it
   * returned either this request, or the request upon which this request was derived with
   * [newBuilder].
   *

    --hash=sha256:84ba65bc4d22bd909e3d26bf2ffb4b9529b608cb3f9a4336f776b04204ced69b \
    --hash=sha256:8a4f062945f405d77cb66b907f16aa2fd83681945e998be840eb6c4154d40108
    # via keras-nightly
numpy==1.23.5 ; python_version <= "3.11" \
    --hash=sha256:01dd17cbb340bf0fc23981e52e1d18a9d4050792e8fb8363cecbf066a84b827d \
    --hash=sha256:06005a2ef6014e9956c09ba07654f9837d9e26696a0470e42beedadb78c11b07 \

Sie könnten beispielsweise eine Datei `config.py` haben mit:

```Python
{!../../../docs_src/settings/app01/config.py!}
```

Und dann verwenden Sie diese in einer Datei `main.py`:

```Python hl_lines="3  11-13"
{!../../../docs_src/settings/app01/main.py!}
```

!!! tip "Tipp"

TFCI_MACOS_BAZEL_TEST_DIR_PATH="/Volumes/BuildData/bazel_output"
TFCI_OUTPUT_DIR=build_output
TFCI_WHL_BAZEL_TEST_ENABLE=1
TFCI_WHL_SIZE_LIMIT=240M
TFCI_WHL_SIZE_LIMIT_ENABLE=1

# 3.11 is the system python on our images
case $TFCI_PYTHON_VERSION in
3.11)
  TFCI_MACOS_PYENV_INSTALL_ENABLE=0
  ;;
*)
  TFCI_MACOS_PYENV_INSTALL_ENABLE=1
  ;;