"price": 50.2,
                "tax": 10.5,
                "tags": [],
            },
        ),
    ],
)
def test_get(url, data, client: TestClient):
    response = client.get(url)
    assert response.status_code == 200, response.text
    assert response.json() == data


@needs_py39
def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")

   * data, and vertical if there is variance in the {@code y} data but not the {@code x} data.
   *
   * <p>This fit minimizes the root-mean-square error in {@code y} as a function of {@code x}. This
   * error is defined as the square root of the mean of the squares of the differences between the
   * actual {@code y} values of the data and the values predicted by the fit for the {@code x}

	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 {

#### 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);

labels.crawling_info_DataCrawlExecTime=Crawl exec time (Data store)
labels.crawling_info_DataCrawlStartTime=Crawl start time (Data store)
labels.crawling_info_DataCrawlEndTime=Crawl end time (Data store)
labels.crawling_info_DataIndexExecTime=Indexing exec time (Data store)
labels.crawling_info_DataIndexSize=Index size (Data store)
labels.webauth_configuration=Web Authentication
labels.webauth_list_hostname=Hostname

endpoint = partial(main, "foo")

app = FastAPI()

app.get("/")(endpoint)


client = TestClient(app)


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

# 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

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;

    val data = Buffer().writeUtf8(content)
    val source: Source =
      object : Source {
        var closed = false

        override fun close() {
          closed = true
        }

        override fun read(
          sink: Buffer,
          byteCount: Long,
        ): Long {
          check(!closed)
          return data.read(sink, byteCount)
        }