if (buildFile == null) {
            buildFile = "" // Let Gradle detect the build script
        }
        skipConditionally(buildType)
    }

fun Requirements.requiresOs(os: Os) {
    contains("teamcity.agent.jvm.os.name", os.agentRequirement)
}

fun Requirements.requiresArch(
    os: Os,
    arch: Arch,
) {
    if (os == Os.MACOS) {
        contains("teamcity.agent.jvm.os.arch", arch.nameOnMac)
    } else {

///

## Dependencies errors and return values { #dependencies-errors-and-return-values }

You can use the same dependency *functions* you use normally.

### Dependency requirements { #dependency-requirements }

They can declare request requirements (like headers) or other sub-dependencies:

{* ../../docs_src/dependencies/tutorial006_an_py39.py hl[8,13] *}

### Raise exceptions { #raise-exceptions }

    }
    TesterRequirements requirements;
    try {
      requirements = FeatureUtil.getTesterRequirements(method);
    } catch (ConflictingRequirementsException e) {
      throw new RuntimeException(e);
    }
    if (!features.containsAll(requirements.getPresentFeatures())) {
      if (logger.isLoggable(FINER)) {
        Set<Feature<?>> missingFeatures = copyToSet(requirements.getPresentFeatures());

        uses: astral-sh/setup-uv@v7
        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      - name: Install Dependencies
        run: uv pip install -r requirements-github-actions.txt
      # Allow debugging with tmate
      - name: Setup tmate session
        uses: mxschmitt/action-tmate@v3

        uses: astral-sh/setup-uv@v7
        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      - name: Install Dependencies
        run: uv pip install -r requirements-github-actions.txt
      # Allow debugging with tmate
      - name: Setup tmate session
        uses: mxschmitt/action-tmate@v3

All in a way that provided the best development experience for all the developers.

## Requirements { #requirements }

After testing several alternatives, I decided that I was going to use <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">**Pydantic**</a> for its advantages.

      uses: astral-sh/setup-uv@v7
      with:
        version: "0.4.15"
        enable-cache: true
        cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
    - name: Install GitHub Actions dependencies
      run: uv pip install -r requirements-github-actions.txt
    - name: Label Approved
      run: python ./scripts/label_approved.py
      env:
        TOKEN: ${{ secrets.GITHUB_TOKEN }}

        uses: astral-sh/setup-uv@v7
        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      - name: Install GitHub Actions dependencies
        run: uv pip install -r requirements-github-actions.txt
      - name: Update Topic Repos
        run: python ./scripts/topic_repos.py
        env:

acknowledged by the Bazel requirements updater command as well. For example, if
you wish the updater to consider pre-release versions simply pass `--pre`
argument to the bazel command:

```
bazel run //ci/official/requirements_updater:requirements.update --repo_env=HERMETIC_PYTHON_VERSION=3.12 -- --pre
```

If you need to upgrade all of the packages in requirements lock file, just pass
the `--upgrade` parameter:

     * If error still persists then, apparently your CPU model does not support AVX instruction sets.
       * Refer [hardware requirements](https://www.tensorflow.org/install/pip#hardware-requirements).
   
   -----------------------------------------------------------------------------------------------
   
   **2. Installing **TensorFlow** (TF) CPU prebuilt binaries**