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Results 1 - 10 of 53 for Decimal (0.05 sec)

  1. tests/test_multi_body_errors.py

    from decimal import Decimal
    from typing import List
    
    from dirty_equals import IsDict, IsOneOf
    from fastapi import FastAPI
    from fastapi.testclient import TestClient
    from pydantic import BaseModel, condecimal
    
    app = FastAPI()
    
    
    class Item(BaseModel):
        name: str
        age: condecimal(gt=Decimal(0.0))  # type: ignore
    
    
    @app.post("/items/")
    def save_item_no_body(item: List[Item]):
        return {"item": item}
    
    
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    - Last Modified: Thu Apr 18 19:40:57 UTC 2024
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  2. docs/em/docs/tutorial/extra-data-types.md

            * 📨, `set` 🔜 🗜 `list`.
            * 🏗 🔗 🔜 ✔ 👈 `set` 💲 😍 (⚙️ 🎻 🔗 `uniqueItems`).
    * `bytes`:
        * 🐩 🐍 `bytes`.
        * 📨 & 📨 🔜 😥 `str`.
        * 🏗 🔗 🔜 ✔ 👈 ⚫️ `str` ⏮️ `binary` "📁".
    * `Decimal`:
        * 🐩 🐍 `Decimal`.
        * 📨 & 📨, 🍵 🎏 `float`.
    * 👆 💪 ✅ 🌐 ☑ Pydantic 📊 🆎 📥: <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Pydantic 📊 🆎</a>.
    
    ## 🖼
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Sun Oct 06 20:36:54 UTC 2024
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  3. fastapi/encoders.py

    import dataclasses
    import datetime
    from collections import defaultdict, deque
    from decimal import Decimal
    from enum import Enum
    from ipaddress import (
        IPv4Address,
        IPv4Interface,
        IPv4Network,
        IPv6Address,
        IPv6Interface,
        IPv6Network,
    )
    from pathlib import Path, PurePath
    from re import Pattern
    from types import GeneratorType
    from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Thu Apr 18 21:56:59 UTC 2024
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  4. tests/test_jsonable_encoder.py

    from collections import deque
    from dataclasses import dataclass
    from datetime import datetime, timezone
    from decimal import Decimal
    from enum import Enum
    from pathlib import PurePath, PurePosixPath, PureWindowsPath
    from typing import Optional
    
    import pytest
    from fastapi._compat import PYDANTIC_V2, Undefined
    from fastapi.encoders import jsonable_encoder
    from pydantic import BaseModel, Field, ValidationError
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Thu Apr 18 21:56:59 UTC 2024
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  5. docs/ko/docs/tutorial/extra-data-types.md

            * 생성된 스키마는 (JSON 스키마의 `uniqueItems`를 이용해) `set`의 값이 고유함을 명시합니다.
    * `bytes`:
        * 표준 파이썬의 `bytes`.
        * 요청과 응답에서 `str`로 취급됩니다.
        * 생성된 스키마는 이것이 `binary` "형식"의 `str`임을 명시합니다.
    * `Decimal`:
        * 표준 파이썬의 `Decimal`.
        * 요청과 응답에서 `float`와 동일하게 다뤄집니다.
    * 여기에서 모든 유효한 pydantic 데이터 자료형을 확인할 수 있습니다: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic 데이터 자료형</a>.
    
    ## 예시
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  6. docs/uk/docs/tutorial/extra-data-types.md

    * `bytes`:
        * Стандартний Пайтонівський `bytes`.
        * У запитах і відповідях це буде оброблено як `str`.
        * Згенерована схема буде вказувати, що це `str` з "форматом" `binary`.
    * `Decimal`:
        * Стандартний Пайтонівський `Decimal`.
        * У запитах і відповідях це буде оброблено так само, як і `float`.
    Registered: Sun Nov 03 07:19:11 UTC 2024
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  7. docs/en/docs/tutorial/extra-data-types.md

    * `bytes`:
        * Standard Python `bytes`.
        * In requests and responses will be treated as `str`.
        * The generated schema will specify that it's a `str` with `binary` "format".
    * `Decimal`:
        * Standard Python `Decimal`.
        * In requests and responses, handled the same as a `float`.
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  8. docs/ja/docs/tutorial/extra-data-types.md

            * 生成されたスキーマは`set`の値が一意であることを指定します(JSON Schemaの`uniqueItems`を使用します)。
    * `bytes`:
        * Pythonの標準的な`bytes`です。
        * リクエストとレスポンスでは`str`として扱われます。
        * 生成されたスキーマは`str`で`binary`の「フォーマット」持つことを指定します。
    * `Decimal`:
        * Pythonの標準的な`Decimal`です。
        * リクエストやレスポンスでは`float`と同じように扱います。
    
    * Pydanticの全ての有効な型はこちらで確認できます: <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Pydantic data types</a>。
    ## 例
    
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  9. docs/ru/docs/tutorial/extra-data-types.md

    * `bytes`:
        * Встроенный в Python `bytes`.
        * В запросах и ответах будет рассматриваться как `str`.
        * В сгенерированной схеме будет указано, что это `str` в формате `binary`.
    * `Decimal`:
        * Встроенный в Python `Decimal`.
        * В запросах и ответах обрабатывается так же, как и `float`.
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  10. docs/pt/docs/tutorial/extra-data-types.md

    * `bytes`:
        * O `bytes` padrão do Python.
        * Em requisições e respostas será representado como uma `str`.
        * O esquema gerado vai especificar que é uma `str` com o "formato" `binary`.
    * `Decimal`:
        * O `Decimal` padrão do Python.
        * Em requisições e respostas será representado como um `float`.
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Sun Oct 06 20:36:54 UTC 2024
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