# DevInfra CI Directory

> **Warning** This folder is still under construction. It is part of an ongoing
> effort to improve the structure of CI and build related files within the
> TensorFlow repo. This warning will be removed when the contents of this
> directory are stable and appropriate documentation around its usage is in
> place.

Maintainer: TensorFlow DevInfra

Issue Reporting: File an issue against this repo and tag

Let's look at how we can make that work.

## pytest.mark.anyio { #pytest-mark-anyio }

Pero recuerda que cuando importas `Query`, `Path`, `Cookie` y otros desde `fastapi`, en realidad son funciones que devuelven clases especiales.

///

/// info | Información

Para declarar cookies, necesitas usar `Cookie`, porque de lo contrario los parámetros serían interpretados como parámetros de query.

///

/// info | Información

    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


@pytest.mark.parametrize("endpoint_path", ("/file_before_form", "/file_after_form"))
def test_file_form_order(endpoint_path: str, tmp_file_1: Path):
    response = client.post(
        url=endpoint_path,
        data={"city": "Thimphou"},

	truncate -s 5MiB file-5mib
	for i in {1..2}; do
		aws --endpoint-url http://localhost:"$start_port" s3api upload-part \
			--upload-id "$uploadId" --bucket bucket --key obj-1 \
			--part-number "$i" --body ./file-5mib
	done
	for i in {1..6}; do
		find ${WORK_DIR}/disk${i}/.minio.sys/multipart/ -type f -name "part.1" -delete
	done
	cat <<EOF >parts.json
{
    "Parts": [
        {
            "PartNumber": 1,

/// note | Detalles Técnicos

También podrías usar `from starlette.staticfiles import StaticFiles`.

**FastAPI** proporciona el mismo `starlette.staticfiles` como `fastapi.staticfiles` solo como una conveniencia para ti, el desarrollador. Pero en realidad viene directamente de Starlette.

///

### Qué es "Montar" { #what-is-mounting }

Vamos fazer com que ele nos forneça o usuário atual.

## Criar um modelo de usuário { #create-a-user-model }

Primeiro, vamos criar um modelo de usuário com Pydantic.

Da mesma forma que usamos o Pydantic para declarar corpos, podemos usá-lo em qualquer outro lugar:

{* ../../docs_src/security/tutorial002_an_py310.py hl[5,12:6] *}

## Criar uma dependência `get_current_user` { #create-a-get-current-user-dependency }

scss-docs-end root-form-validation-variables\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark, true) {\n    color-scheme: dark;\n\n    // scss-docs-start root-dark-mode-vars\n    --#{$prefix}body-color: #{$body-color-dark};\n    --#{$prefix}body-color-rgb: #{to-rgb($body-color-dark)};\n    --#{$prefix}body-bg: #{$body-bg-dark};\n    --#{$prefix}body-bg-rgb: #{to-rgb($body-bg-dark)};\n\n    --#{$prefix}emphasis-color: #{$body-emphasis-color-dark};\n    --#{$prefix}emphasis-color-rgb: #{to-rgb($bod...

}


def test_openapi_schema():
    client = TestClient(app)
    response = client.get("/openapi.json")
    assert response.status_code == 200
    assert response.json() == openapi_schema


@pytest.mark.parametrize(
    "path,cookies,expected_status,expected_response",
    [
        (
            "/hidden_cookie",
            {},
            200,
            {"hidden_cookie": None},
        ),

	}

	var body bytes.Buffer
	writer := multipart.NewWriter(&body)
	part, e := writer.CreateFormFile("file", filename)
	if e != nil {
		return "", e
	}

	if _, e = part.Write(payload); e != nil {
		return "", e
	}
	writer.Close()

	r, e := http.NewRequest(http.MethodPost, reqURL, &body)
	if e != nil {
		return "", e
	}