from typing import Annotated

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(q: Annotated[str, Query(min_length=3)] = "fixedquery"):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})

from fastapi import FastAPI, Path, Query, status
from fastapi.testclient import TestClient
from inline_snapshot import snapshot

app = FastAPI()


@app.get("/{repeated_alias}")
def get_parameters_with_repeated_aliases(
    path: str = Path(..., alias="repeated_alias"),
    query: str = Query(..., alias="repeated_alias"),
):
    return {"path": path, "query": query}


client = TestClient(app)


def test_get_parameters():

}

// WithRetries sets the retry count for all function calls from the Go method.
func (g *NotificationGroup) WithRetries(retryCount int) *NotificationGroup {
	if g != nil {
		g.retryCount = retryCount
	}
	return g
}

// Wait blocks until all function calls from the Go method have returned, then
// returns the slice of errors from all function calls.
func (g *NotificationGroup) Wait() []NotificationPeerErr {

@SuppressWarnings("checkstyle:UnusedLocalVariable")
class ProjectInheritanceTest extends AbstractProjectInheritanceTestCase {
    // ----------------------------------------------------------------------
    //
    // p1 inherits from p0
    // p0 inherits from super model
    //
    // or we can show it graphically as:
    //
    // p1 ---> p0 --> super model
    //
    // ----------------------------------------------------------------------

    @Test

from fastapi import FastAPI
from fastapi.responses import JSONResponse

app = FastAPI()


@app.post("/cookie/")
def create_cookie():
    content = {"message": "Come to the dark side, we have cookies"}
    response = JSONResponse(content=content)
    response.set_cookie(key="fakesession", value="fake-cookie-session-value")

 */
package org.codelibs.fess.llm;

/**
 * Callback interface for receiving streaming chat responses from LLM.
 */
@FunctionalInterface
public interface LlmStreamCallback {

    /**
     * Called for each chunk of the streaming response.
     *
     * @param chunk the text chunk from the LLM response
     * @param done true if this is the final chunk
     */
    void onChunk(String chunk, boolean done);

from fastapi import Depends, FastAPI
from fastapi.security import OAuth2PasswordBearer

app = FastAPI()

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")


@app.get("/items/")
async def read_items(token: str = Depends(oauth2_scheme)):

     */
    public void writeOctetArray(final byte[] b, final int i, final int l) {
        System.arraycopy(b, i, buf, index, l);
        advance(l);
    }

    /**
     * Reads an octet array from the buffer.
     *
     * @param b the byte array to read into
     * @param i the starting index in the array
     * @param l the number of bytes to read
     */

You can use the `Jinja2Templates` class to render Jinja templates.

Read more about it in the [FastAPI docs for Templates](https://fastapi.tiangolo.com/advanced/templates/).

You can import it directly from `fastapi.templating`:

```python
from fastapi.templating import Jinja2Templates
```

 *
 * <h3>Projects</h3>
 *
 * <p>{@link org.apache.maven.api.Project} instances are loaded by Maven from the local
 * file system (those projects are usually about to be built) or from the local repository
 * (they are usually downloaded during dependency collection). Those projects are loaded
 * from a Project Object Model (POM).</p>
 *
 * <p><dfn>Project Object Model</dfn> or <dfn>POM</dfn> refers to the information describing