that can be found in the LICENSE file. package ecdh import ( "bytes" "crypto/elliptic" "testing" ) func TestOrders(t *testing.T) { if !bytes.Equal(elliptic.P224().Params().N.Bytes(), P224().N) { t.Errorf("P-224 order mismatch") } if !bytes.Equal(elliptic.P256().Params().N.Bytes(), P256().N) { t.Errorf("P-256 order mismatch") } if !bytes.Equal(elliptic.P384().Params().N.Bytes(), P384().N) { t.Errorf("P-384 order mismatch") } if !bytes.Equal(elliptic.P521().Params().N.Bytes(), P521().N) { t.Errorf("P-521...

        "type": "object",
    }


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


@pytest.mark.parametrize(
    "path",
    [

from typing import Annotated

import pytest
from fastapi import FastAPI, File, UploadFile
from fastapi.testclient import TestClient

from .utils import get_body_model_name

app = FastAPI()

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


@app.post("/list-bytes", operation_id="list_bytes")
async def read_list_bytes(p: Annotated[list[bytes], File()]):

        "type": "object",
    }


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


@pytest.mark.parametrize(
    "path",
    [

):
    return {"file_contents": files, "city": city}


client = TestClient(app)


@pytest.fixture
def tmp_file_1(tmp_path: Path) -> Path:
    f = tmp_path / "example1.txt"
    f.write_text("foo")
    return f


@pytest.fixture
def tmp_file_2(tmp_path: Path) -> Path:
    f = tmp_path / "example2.txt"
    f.write_text("bar")
    return f

from typing import Annotated

import pytest
from fastapi import FastAPI, File, UploadFile
from fastapi.testclient import TestClient

from .utils import get_body_model_name

app = FastAPI()

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


@app.post("/required-bytes", operation_id="required_bytes")
async def read_required_bytes(p: Annotated[bytes, File()]):

@pytest.fixture(scope="module")
def client() -> Iterator[TestClient]:
    with TestClient(app) as client:
        yield client


def _bench_get(benchmark, client: TestClient, path: str) -> tuple[int, bytes]:
    warmup = client.get(path)
    assert warmup.status_code == 200

    def do_request() -> tuple[int, bytes]:
        response = client.get(path)

import importlib

import pytest
from fastapi.testclient import TestClient


@pytest.fixture(
    name="client",
    params=[
        "tutorial001_03_py39",
        "tutorial001_03_an_py39",
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.request_files.{request.param}")

    client = TestClient(mod.app)
    return client

import importlib

import pytest
from fastapi import FastAPI
from fastapi.testclient import TestClient


@pytest.fixture(
    name="app",
    params=[
        "tutorial003_py39",
        "tutorial003_an_py39",
    ],
)
def get_app(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.request_files.{request.param}")

    return mod.app


@pytest.fixture(name="client")

  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<string> list = {bytes1, bytes2};
  StringVectorToArrays(list, &list_ptrs, &list_lens);

  auto desc = init("list(shape)");