return client


def test_post_body_form(client: TestClient):
    response = client.post("/login/", data={"username": "Foo", "password": "secret"})
    assert response.status_code == 200
    assert response.json() == {"username": "Foo"}


def test_post_body_form_no_password(client: TestClient):
    response = client.post("/login/", data={"username": "Foo"})
    assert response.status_code == 422
    assert response.json() == IsDict(

@needs_py39
def test_post_body_form(client: TestClient):
    response = client.post("/login/", data={"username": "Foo", "password": "secret"})
    assert response.status_code == 200
    assert response.json() == {"username": "Foo"}


@needs_py39
def test_post_body_form_no_password(client: TestClient):
    response = client.post("/login/", data={"username": "Foo"})
    assert response.status_code == 422
    assert response.json() == IsDict(

                    "summary": "Create Files",
                    "operationId": "create_files_files__post",
                    "requestBody": {
                        "content": {
                            "multipart/form-data": {
                                "schema": {
                                    "$ref": "#/components/schemas/Body_create_files_files__post"
                                }
                            }

endpoint = partial(main, "foo")

app = FastAPI()

app.get("/")(endpoint)


client = TestClient(app)


def test_partial():
    response = client.get("/?q=bar")
    data = response.json()

#### Data "schema"

The term "schema" might also refer to the shape of some data, like a JSON content.

In that case, it would mean the JSON attributes, and data types they have, etc.

#### OpenAPI and JSON Schema

    }

    auto s = TF_NewStatus();
    auto func = TF_GraphToFunction(graph_.get(), name_.data(), 0, -1, nullptr,
                                   inputs_.size(), inputs_.data(),
                                   graph_outputs.size(), graph_outputs.data(),
                                   nullptr, nullptr, name_.data(), s);
    *f = new GraphFunction(std::move(func->record->fdef()));
    TF_DeleteFunction(func);

# WebSockets

When defining WebSockets, you normally declare a parameter of type `WebSocket` and with it you can read data from the client and send data to it.

It is provided directly by Starlette, but you can import it from `fastapi`:

```python
from fastapi import WebSocket
```

/// tip

	tests := []struct {
		name   int
		data   int
		parity int
		want   bool
	}{
		{1, 5, 6, false},
		{2, 5, 5, true},
		{3, 0, 5, false},
		{3, -1, 5, false},
		{4, 5, -1, false},
		{5, 5, 0, true},
		{6, 5, 0, true},
		{7, 5, 4, true},
	}
	for _, tt := range tests {
		if got := isXLMetaErasureInfoValid(tt.data, tt.parity); got != tt.want {

class TransCallNamedPipe extends SmbComTransaction {

    private byte[] pipeData;
    private int pipeDataOff, pipeDataLen;

    TransCallNamedPipe( String pipeName, byte[] data, int off, int len ) {
        name = pipeName;
        pipeData = data;
        pipeDataOff = off;
        pipeDataLen = len;
        command = SMB_COM_TRANSACTION;
        subCommand = TRANS_CALL_NAMED_PIPE;
        timeout = 0xFFFFFFFF;

@needs_py39
def test_extra_types(client: TestClient):
    item_id = "ff97dd87-a4a5-4a12-b412-cde99f33e00e"
    data = {
        "start_datetime": "2018-12-22T14:00:00+00:00",
        "end_datetime": "2018-12-24T15:00:00+00:00",
        "repeat_at": "15:30:00",
        "process_after": 300,
    }
    expected_response = data.copy()
    expected_response.update(
        {
            "start_process": "2018-12-22T14:05:00+00:00",