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scripts/lint.sh
Sebastián RamÃrez <******@****.***> 1714435394 -0700
Shell Script - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Apr 30 00:03:14 GMT 2024 - 125 bytes - Viewed (0) -
docs_src/python_types/tutorial011.py
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Sat Sep 02 15:56:35 GMT 2023 - 498 bytes - Viewed (0) -
fastapi/utils.py
try: return ModelField(**kwargs) # type: ignore[arg-type] except (RuntimeError, PydanticSchemaGenerationError): raise fastapi.exceptions.FastAPIError( "Invalid args for response field! Hint: " f"check that {type_} is a valid Pydantic field type. " "If you are using a return type annotation that is not a valid Pydantic "
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 7.8K bytes - Viewed (0) -
tests/test_query.py
} ] } ) def test_query_int_query_42(): response = client.get("/query/int?query=42") assert response.status_code == 200 assert response.json() == "foo bar 42" def test_query_int_query_42_5(): response = client.get("/query/int?query=42.5") assert response.status_code == 422 assert response.json() == IsDict( {
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 21:56:59 GMT 2024 - 11.4K bytes - Viewed (0) -
fastapi/params.py
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 27.5K bytes - Viewed (1) -
.github/workflows/test.yml
if: steps.cache.outputs.cache-hit != 'true' run: pip install -r requirements-tests.txt - name: Install Pydantic v2 run: pip install "pydantic>=2.0.2,<3.0.0" - name: Lint run: bash scripts/lint.sh test: runs-on: ubuntu-latest strategy: matrix: python-version: - "3.12" - "3.11" - "3.10" - "3.9" - "3.8"
Others - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 4.4K bytes - Viewed (2) -
tests/test_typing_python39.py
from fastapi.testclient import TestClient from .utils import needs_py310 @needs_py310 def test_typing(): types = { list[int]: [1, 2, 3], dict[str, list[int]]: {"a": [1, 2, 3], "b": [4, 5, 6]}, set[int]: [1, 2, 3], # `set` is converted to `list` tuple[int, ...]: [1, 2, 3], # `tuple` is converted to `list` } for test_type, expect in types.items(): app = FastAPI()
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Sat Mar 18 12:29:59 GMT 2023 - 709 bytes - Viewed (0) -
fastapi/param_functions.py
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 62.5K bytes - Viewed (0) -
tests/test_computed_fields.py
@pytest.fixture(name="client") def get_client(): app = FastAPI() from pydantic import BaseModel, computed_field class Rectangle(BaseModel): width: int length: int @computed_field @property def area(self) -> int: return self.width * self.length @app.get("/") def read_root() -> Rectangle: return Rectangle(width=3, length=4)
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Fri Aug 04 20:47:07 GMT 2023 - 2.2K bytes - Viewed (0) -
docs_src/dependencies/tutorial003_an_py310.py
app = FastAPI() fake_items_db = [{"item_name": "Foo"}, {"item_name": "Bar"}, {"item_name": "Baz"}] class CommonQueryParams: def __init__(self, q: str | None = None, skip: int = 0, limit: int = 100): self.q = q self.skip = skip self.limit = limit @app.get("/items/") async def read_items(commons: Annotated[Any, Depends(CommonQueryParams)]): response = {}
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Sat Mar 18 12:29:59 GMT 2023 - 655 bytes - Viewed (0)