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  1. .github/workflows/test.yml

            run: bash scripts/test.sh
            env:
              COVERAGE_FILE: coverage/.coverage.${{ runner.os }}-py${{ matrix.python-version }}
              CONTEXT: ${{ runner.os }}-py${{ matrix.python-version }}
          - name: Store coverage files
            uses: actions/upload-artifact@v3
            with:
              name: coverage
              path: coverage
    
      coverage-combine:
        needs: [test]
        runs-on: ubuntu-latest
        steps:
    Others
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  2. .gitignore

    .coverage
    coverage.xml
    .netlify
    test.db
    log.txt
    Pipfile.lock
    env3.*
    env
    docs_build
    site_build
    venv
    docs.zip
    archive.zip
    
    # vim temporary files
    *~
    .*.sw?
    .cache
    
    # macOS
    Plain Text
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  3. fastapi/dependencies/models.py

            self.security_scopes = security_scopes
            self.security_scopes_param_name = security_scopes_param_name
            self.name = name
            self.call = call
            self.use_cache = use_cache
            # Store the path to be able to re-generate a dependable from it in overrides
            self.path = path
            # Save the cache key at creation to optimize performance
    Python
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  4. docs/en/docs/how-to/conditional-openapi.md

    * Make sure you have well defined Pydantic models for your request bodies and responses.
    * Configure any required permissions and roles using dependencies.
    * Never store plaintext passwords, only password hashes.
    * Implement and use well-known cryptographic tools, like Passlib and JWT tokens, etc.
    * Add more granular permission controls with OAuth2 scopes where needed.
    * ...etc.
    
    Plain Text
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  5. tests/test_datastructures.py

    def test_upload_file_is_closed(tmp_path: Path):
        path = tmp_path / "test.txt"
        path.write_bytes(b"<file content>")
        app = FastAPI()
    
        testing_file_store: List[UploadFile] = []
    
        @app.post("/uploadfile/")
        def create_upload_file(file: UploadFile):
            testing_file_store.append(file)
            return {"filename": file.filename}
    
        client = TestClient(app)
        with path.open("rb") as file:
    Python
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  6. docs/en/docs/tutorial/encoder.md

    # JSON Compatible Encoder
    
    There are some cases where you might need to convert a data type (like a Pydantic model) to something compatible with JSON (like a `dict`, `list`, etc).
    
    For example, if you need to store it in a database.
    
    For that, **FastAPI** provides a `jsonable_encoder()` function.
    
    ## Using the `jsonable_encoder`
    
    Let's imagine that you have a database `fake_db` that only receives JSON compatible data.
    
    Plain Text
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  7. docs/en/docs/tutorial/extra-models.md

    * The **input model** needs to be able to have a password.
    * The **output model** should not have a password.
    * The **database model** would probably need to have a hashed password.
    
    !!! danger
        Never store user's plaintext passwords. Always store a "secure hash" that you can then verify.
    
        If you don't know, you will learn what a "password hash" is in the [security chapters](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}.
    
    Plain Text
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  8. docs/zh/docs/tutorial/body-updates.md

    然后再用它生成一个只含已设置(在请求中所发送)数据,且省略了默认值的 `dict`:
    
    ```Python hl_lines="34"
    {!../../../docs_src/body_updates/tutorial002.py!}
    ```
    
    ### 使用 Pydantic 的 `update` 参数
    
    接下来,用 `.copy()` 为已有模型创建调用 `update` 参数的副本,该参数为包含更新数据的 `dict`。
    
    例如,`stored_item_model.copy(update=update_data)`:
    
    ```Python hl_lines="35"
    {!../../../docs_src/body_updates/tutorial002.py!}
    ```
    
    ### 更新部分数据小结
    
    简而言之,更新部分数据应:
    
    * 使用 `PATCH` 而不是 `PUT` (可选,也可以用 `PUT`);
    * 提取存储的数据;
    Plain Text
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  9. docs/en/docs/how-to/extending-openapi.md

    ```Python hl_lines="22-24"
    {!../../../docs_src/extending_openapi/tutorial001.py!}
    ```
    
    ### Cache the OpenAPI schema
    
    You can use the property `.openapi_schema` as a "cache", to store your generated schema.
    
    That way, your application won't have to generate the schema every time a user opens your API docs.
    
    It will be generated only once, and then the same cached schema will be used for the next requests.
    
    Plain Text
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  10. docs/en/docs/tutorial/dependencies/sub-dependencies.md

    And it will save the returned value in a <abbr title="A utility/system to store computed/generated values, to re-use them instead of computing them again.">"cache"</abbr> and pass it to all the "dependants" that need it in that specific request, instead of calling the dependency multiple times for the same request.
    
    Plain Text
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