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  1. tests/test_tutorial/test_extra_data_types/test_tutorial001.py

                                "type": "string",
                                "format": "date-time",
                            },
                            "end_datetime": {
                                "title": "End Datetime",
                                "type": "string",
                                "format": "date-time",
                            },
                            "repeat_at": IsDict(
    Python
    - Registered: Sun Apr 28 07:19:10 GMT 2024
    - Last Modified: Fri Apr 19 00:11:40 GMT 2024
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  2. .github/workflows/latest-changes.yml

          # - uses: tiangolo/latest-changes@main
            with:
              token: ${{ secrets.GITHUB_TOKEN }}
              latest_changes_file: docs/en/docs/release-notes.md
              latest_changes_header: '## Latest Changes'
              end_regex: '^## '
              debug_logs: true
    Others
    - Registered: Sun May 05 07:19:11 GMT 2024
    - Last Modified: Tue Jan 09 14:57:33 GMT 2024
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  3. docs_src/extra_data_types/tutorial001.py

        start_datetime: datetime = Body(),
        end_datetime: datetime = Body(),
        process_after: timedelta = Body(),
        repeat_at: Union[time, None] = Body(default=None),
    ):
        start_process = start_datetime + process_after
        duration = end_datetime - start_process
        return {
            "item_id": item_id,
            "start_datetime": start_datetime,
            "end_datetime": end_datetime,
            "process_after": process_after,
    Python
    - Registered: Sun May 05 07:19:11 GMT 2024
    - Last Modified: Fri Apr 19 00:11:40 GMT 2024
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  4. tests/test_tutorial/test_extra_data_types/test_tutorial001_an_py310.py

                                "type": "string",
                                "format": "date-time",
                            },
                            "end_datetime": {
                                "title": "End Datetime",
                                "type": "string",
                                "format": "date-time",
                            },
                            "repeat_at": IsDict(
    Python
    - Registered: Sun Apr 28 07:19:10 GMT 2024
    - Last Modified: Fri Apr 19 00:11:40 GMT 2024
    - 7K bytes
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  5. docs/em/docs/tutorial/dependencies/dependencies-with-yield.md

        opt Tasks
            operation -->> tasks: Send background tasks
        end
        opt Raise other exception
            tasks -->> dep: Raise other exception
        end
        Note over dep: After yield
        opt Handle other exception
            dep -->> dep: Handle exception, can't change response. E.g. close DB session.
        end
    ```
    
    !!! info
        🕴 **1️⃣ 📨** 🔜 📨 👩‍💻. ⚫️ 💪 1️⃣ ❌ 📨 ⚖️ ⚫️ 🔜 📨 ⚪️➡️ *➡ 🛠️*.
    Plain Text
    - Registered: Sun May 05 07:19:11 GMT 2024
    - Last Modified: Thu Apr 18 19:53:19 GMT 2024
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  6. docs/em/docs/advanced/settings.md

            execute ->> code: return the result
        end
    
        rect rgba(0, 255, 255, .1)
            code ->> function: say_hi(name="Camila")
            function ->> code: return stored result
        end
    
        rect rgba(0, 255, 0, .1)
            code ->> function: say_hi(name="Rick")
            function ->> execute: execute function code
            execute ->> code: return the result
        end
    
        rect rgba(0, 255, 0, .1)
    Plain Text
    - Registered: Sun May 05 07:19:11 GMT 2024
    - Last Modified: Fri Mar 22 01:42:11 GMT 2024
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  7. docs/en/docs/advanced/generate-clients.md

    ### Generate a TypeScript Client with the Preprocessed OpenAPI
    
    Now as the end result is in a file `openapi.json`, you would modify the `package.json` to use that local file, for example:
    
    ```JSON  hl_lines="7"
    {
      "name": "frontend-app",
      "version": "1.0.0",
      "description": "",
    Plain Text
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  8. docs/en/docs/tutorial/response-model.md

    FastAPI does several things internally with Pydantic to make sure that those same rules of class inheritance are not used for the returned data filtering, otherwise you could end up returning much more data than what you expected.
    
    This way, you can get the best of both worlds: type annotations with **tooling support** and **data filtering**.
    
    ## See it in the docs
    
    Plain Text
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  9. docs_src/extra_data_types/tutorial001_an_py39.py

        end_datetime: Annotated[datetime, Body()],
        process_after: Annotated[timedelta, Body()],
        repeat_at: Annotated[Union[time, None], Body()] = None,
    ):
        start_process = start_datetime + process_after
        duration = end_datetime - start_process
        return {
            "item_id": item_id,
            "start_datetime": start_datetime,
            "end_datetime": end_datetime,
    Python
    - Registered: Sun May 05 07:19:11 GMT 2024
    - Last Modified: Fri Apr 19 00:11:40 GMT 2024
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  10. tests/test_filter_pydantic_sub_model_pv2.py

                    "msg": "Value error, name must end in A",
                    "input": "modelX",
                    "ctx": {"error": HasRepr("ValueError('name must end in A')")},
                }
            )
            | IsDict(
                # TODO remove when deprecating Pydantic v1
                {
                    "loc": ("response", "name"),
                    "msg": "name must end in A",
                    "type": "value_error",
                }
    Python
    - Registered: Sun May 05 07:19:11 GMT 2024
    - Last Modified: Thu Apr 18 19:40:57 GMT 2024
    - 6.3K bytes
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