Ref: https://github.com/fastapi/fastapi/issues/14680
"""

from collections.abc import AsyncIterable

import anyio
import pytest
from fastapi import FastAPI
from fastapi.responses import StreamingResponse

pytestmark = [
    pytest.mark.anyio,
    pytest.mark.filterwarnings("ignore::pytest.PytestUnraisableExceptionWarning"),
]


app = FastAPI()


@app.get("/stream-raw", response_class=StreamingResponse)

			t.Fatalf("%d: %v", i, err)
		}
		// repr.Println(fex, repr.Indent("  "), repr.OmitEmpty(true))
	}
}

func TestSqlLexer(t *testing.T) {
	// s := bytes.NewBuffer([]byte("s.['name'].*.[*].abc.[\"abc\"]"))
	s := bytes.NewBuffer([]byte("S3Object.words.*.id"))
	// s := bytes.NewBuffer([]byte("COUNT(Id)"))
	lex, err := sqlLexer.Lex(s)
	if err != nil {
		t.Fatal(err)
	}
	tokens, err := lexer.ConsumeAll(lex)
	if err != nil {

  proto.SerializeToString(&bytes1);

  const int64_t pts2[] = {1, 3, 5, 7};
  tensorflow::PartialTensorShape(pts2).AsProto(&proto);
  proto.SerializeToString(&bytes2);

  std::unique_ptr<const void*[]> list_ptrs;
  std::unique_ptr<size_t[]> list_lens;
  const std::vector<std::string> list = {bytes1, bytes2};
  StringVectorToArrays(list, &list_ptrs, &list_lens);

        "type": "object",
    }


@pytest.mark.parametrize(
    "path",
    ["/optional-list-str", "/model-optional-list-str"],
)
def test_optional_list_str_missing(path: str):
    client = TestClient(app)
    response = client.post(path)
    assert response.status_code == 200, response.text
    assert response.json() == {"p": None}


@pytest.mark.parametrize(
    "path",

            }
        ]
    )


@pytest.mark.parametrize(
    "path",
    [
        pytest.param("/required-str", id="required-str"),
        pytest.param("/required-alias", id="required-alias"),
        pytest.param(
            "/required-validation-alias",
            id="required-validation-alias",
        ),
        pytest.param(
            "/required-alias-and-validation-alias",

        "type": "object",
    }


@pytest.mark.parametrize(
    "path",
    ["/optional-str", "/model-optional-str"],
)
def test_optional_str_missing(path: str):
    client = TestClient(app)
    response = client.post(path)
    assert response.status_code == 200
    assert response.json() == {"p": None}


@pytest.mark.parametrize(
    "path",
    ["/optional-str", "/model-optional-str"],

from typing import Annotated

import pytest
from dirty_equals import IsOneOf
from fastapi import FastAPI, Query
from fastapi.testclient import TestClient
from inline_snapshot import snapshot
from pydantic import BaseModel, Field

app = FastAPI()

# =====================================================================================
# Without aliases


@app.get("/required-str")
async def read_required_str(p: str):

        "properties": {
            "p": {"title": "P", "type": "string"},
        },
        "required": ["p"],
        "title": body_model_name,
        "type": "object",
    }


@pytest.mark.parametrize("json", [None, {}])
@pytest.mark.parametrize(
    "path",
    ["/required-str", "/model-required-str"],
)
def test_required_str_missing(path: str, json: dict[str, Any] | None):
    client = TestClient(app)

from typing import Annotated

import pytest
from dirty_equals import IsOneOf
from fastapi import FastAPI, Form
from fastapi.testclient import TestClient
from pydantic import BaseModel, Field

from .utils import get_body_model_name

app = FastAPI()

# =====================================================================================
# Without aliases


@app.post("/required-str", operation_id="required_str")

            }
        ]
    )


@pytest.mark.parametrize(
    "path",
    ["/optional-list-str", "/model-optional-list-str"],
)
def test_optional_list_str_missing(path: str):
    client = TestClient(app)
    response = client.get(path)
    assert response.status_code == 200, response.text
    assert response.json() == {"p": None}


@pytest.mark.parametrize(
    "path",