if: steps.cache.outputs.cache-hit != 'true'
        run: pip install -r requirements-tests.txt
      - name: Install Pydantic v1
        if: matrix.pydantic-version == 'pydantic-v1'
        run: pip install "pydantic>=1.10.0,<2.0.0"
      - name: Install Pydantic v2
        if: matrix.pydantic-version == 'pydantic-v2'
        run: pip install "pydantic>=2.0.2,<3.0.0"
      - run: mkdir coverage
      - name: Test

        with:
          python-version: "3.10"
          # Issue ref: https://github.com/actions/setup-python/issues/436
          # cache: "pip"
          # cache-dependency-path: pyproject.toml
      - name: Install build dependencies
        run: pip install build
      - name: Build distribution
        env:
          TIANGOLO_BUILD_PACKAGE: ${{ matrix.package }}
        run: python -m build
      - name: Publish

        run: pip install -r requirements-docs.txt
      # Install MkDocs Material Insiders here just to put it in the cache for the rest of the steps
      - name: Install Material for MkDocs Insiders
        if: ( github.event_name != 'pull_request' || github.secret_source == 'Actions' ) && steps.cache.outputs.cache-hit != 'true'
        run: |

      - name: Install test dependencies
        run: |
          cd dist/fastapi*/
          pip install -r requirements-tests.txt
      - name: Run source distribution tests
        run: |
          cd dist/fastapi*/
          bash scripts/test.sh
      - name: Build wheel distribution
        run: |
          cd dist
          pip wheel --no-deps fastapi*.tar.gz
      - name: Dump GitHub context
        env:

      uses: actions/setup-python@2c3dd9e7e29afd70cc0950079bde6c979d1f69f9 # v4.3.1
      with:
        python-version: "3.9"
    - name: Install Python dependencies
      run: |
        python -m pip install --upgrade pip
        pip install pylint==2.13.9 numpy wheel
    - name: Run PyLint on changed files
      run: |

    id: tf-nightly
    attributes:
      label: Have you reproduced the bug with TensorFlow Nightly?
      description: It is strongly suggested that you reproduce the bug with [TensorFlow Nightly](https://www.tensorflow.org/install/pip#nightly)
      options:
        - "Yes"
        - "No"
    validations:
      required: true

  - type: markdown
    attributes:
      value: |

      - name: Checkout repository for releases (skipped for nightly)
        if: ${{ github.event_name == 'push' }}
        uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1
      - name: Build and test pip wheel
        shell: bash
        run: |
          is_nightly=0 && tf_project_name='tensorflow_cpu_aws' && ${{ github.event_name == 'schedule' }} && is_nightly=1 && tf_project_name='tf_nightly_cpu_aws'

version: 2
updates:
  # GitHub Actions
  - package-ecosystem: "github-actions"
    directory: "/"
    schedule:
      interval: "daily"
    commit-message:
      prefix: ⬆
  # Python
  - package-ecosystem: "pip"
    directory: "/"
    schedule:
      interval: "monthly"
    commit-message:

     * 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**
   
   

        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/setup-python@v5
        with:
          python-version: '3.9'

      - run: pip install smokeshow

      - uses: dawidd6/action-download-artifact@v3.1.4
        with:
          github_token: ${{ secrets.FASTAPI_SMOKESHOW_DOWNLOAD_ARTIFACTS }}
          workflow: test.yml