cpuStealVal := math.Round(ts.Steal/tot*100*100) / 100
		m.Set(sysCPUSteal, cpuStealVal)
	}

	// metrics-resource.go runs a job to collect resource metrics including their Avg values and
	// stores them in resourceMetricsMap. We can use it to get the Avg values of CPU idle and IOWait.
	cpuResourceMetrics, found := resourceMetricsMap[cpuSubsystem]
	if found {

        required: false
        default: "false"

jobs:
  job:
    if: github.repository_owner == 'fastapi'
    runs-on: ubuntu-latest
    permissions:
      contents: write
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v6
      - name: Set up Python

        required: false
        default: "false"

jobs:
  job:
    if: github.repository_owner == 'fastapi'
    runs-on: ubuntu-latest
    permissions:
      contents: write
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v6
      - name: Set up Python

      - CITATION.cff

permissions:
  contents: read

jobs:
  validate:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    name: "validate"
    runs-on: ubuntu-latest
    steps:
      - name: Check out a copy of the repository
        uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6.0.1

      - name: Check whether the citation metadata from CITATION.cff is valid

  // partitioned tensor are combined into a single entry.
  const TensorSliceReader::VarToDataTypeMap& GetVariableToDataTypeMap() const;

  // Attempts to look up the tensor named "name" and stores the found result in
  // "out_tensor".
  void GetTensor(const std::string& name,
                 std::unique_ptr<tensorflow::Tensor>* out_tensor,
                 TF_Status* out_status) const;

 private:

                onDependencyCancel = FailureAction.FAIL_TO_START
            }
        }

        if (******@****.***sk != null) {
            steps {
                buildStep(
                    ******@****.***arameters,
                    ******@****.***rName,

        pyver: ['3.9', '3.10', '3.11', '3.12']
    steps:
      - name: Stop old running containers (if any)
        shell: bash
        run: |
          running_containers=$(docker ps -q) && \
          if [[ $running_containers == "" ]]; then
            echo "No running containers";
          else
            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi

	defer c.mu.Unlock()
	c.abortWrites.Store(!t.IsZero() && time.Until(t) < 0)
	c.infWrites.Store(t.IsZero())
	c.writeSetAt = time.Time{}
	return c.Conn.SetWriteDeadline(t)
}

// Close wraps conn.Close and stops sending deadline updates.
func (c *DeadlineConn) Close() error {
	c.abortReads.Store(true)
	c.abortWrites.Store(true)
	return c.Conn.Close()
}

// WithReadDeadline sets a new read side net.Conn deadline.

permissions: {}

jobs:
  master-to-nightly:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    runs-on: ubuntu-latest
    permissions:
      contents: write
    steps:
    - uses: zofrex/mirror-branch@0be56f4c8077a288a635a491b306ba0bb1c810e6 # v1.0.4
      name: Set nightly branch to master HEAD
      with:

如果你想保護 API，有許多更好的作法，例如：

- 確保針對請求本文與回應，具備定義良好的 Pydantic 模型。
- 透過依賴設定所需的權限與角色。
- 切勿儲存明文密碼，只儲存密碼雜湊。
- 實作並使用成熟且廣為人知的密碼學工具，例如 pwdlib 與 JWT 權杖等。
- 視需要以 OAuth2 scopes 新增更細緻的權限控管。
- ...等。

儘管如此，在某些特定情境下，你可能確實需要在某些環境（例如正式環境）停用 API 文件，或依據環境變數的設定來決定是否啟用。

## 透過設定與環境變數的條件式 OpenAPI { #conditional-openapi-from-settings-and-env-vars }

你可以用相同的 Pydantic 設定，來配置產生的 OpenAPI 與文件 UI。