searchBody.put("size", 100);
        searchBody.put("q", NAME_PREFIX + "large_*");

        String response = checkMethodBase(searchBody).get(SEARCHLIST_API_PATH + "/docs").asString();
        List<Map<String, Object>> docs = JsonPath.from(response).getList("response.docs");

        logger.info("Created large set of documents: {} documents", docs.size());

    }

    /**
     * Test readBytes with large file throws exception
     *
     * @throws Exception
     */
    @Test
    public void testReadBytes_LargeFile() throws Exception {
        final File largeFile = tempFolder.newFile("large.dat");

        // Create a file larger than MAX_BUF_SIZE (10MB)
        // Write 11MB of data

            if (fileSize > maxSize) {
                throw new IORuntimeException(new IOException(
                        "File too large: " + fileSize + " bytes (max: " + maxSize + " bytes). Use streaming APIs for large files."));
            }

            final ByteBuffer buffer = ByteBuffer.allocate((int) fileSize);
            ChannelUtil.read(channel, buffer);

## Why this policy exists

There is a fundamental **asymmetry** between submitting a contribution and reviewing one: AI tools make it easy to generate and submit large amounts of code, but they do not make it equally faster for us to review it. 
This policy protects our limited review budget, allowing us to invest our attention wisely.

And multiple processes normally **don't share any memory**. This means that each running process has its own things, variables, and memory. And if you are consuming a large amount of memory in your code, **each process** will consume an equivalent amount of memory.

    the recipients' rights in the Source Code Form under this License.

3.3. Distribution of a Larger Work

You may create and distribute a Larger Work under terms of Your choice,
provided that You also comply with the requirements of this License for
the Covered Software. If the Larger Work is a combination of Covered
Software with a work governed by one or more Secondary Licenses, and the

    return ItemOut(name=item.name, value=item.value, dep=dep)


@app.post("/sync/large-receive")
def sync_large_receive(payload: LargeIn):
    return {"received": len(payload.items)}


@app.post("/async/large-receive")
async def async_large_receive(payload: LargeIn):
    return {"received": len(payload.items)}


@app.get("/sync/large-dict-no-response-model")
def sync_large_dict_no_response_model():

from fastapi.testclient import TestClient

from docs_src.advanced_middleware.tutorial003_py310 import app


@app.get("/large")
async def large():
    return PlainTextResponse("x" * 4000, status_code=200)


client = TestClient(app)


def test_middleware():
    response = client.get("/large", headers={"accept-encoding": "gzip"})
    assert response.status_code == 200, response.text
    assert response.text == "x" * 4000

	if len(b) == 0 {
		return []byte{}
	}

	// Past a certain chunk size it is counterproductive to use
	// larger chunks as the source of the write, as when the source
	// is too large we are basically just thrashing the CPU D-cache.
	// So if the result length is larger than an empirically-found
	// limit (8KB), we stop growing the source string once the limit

### `examples` spécifiques à OpenAPI { #openapi-specific-examples }

Avant que **JSON Schema** ne prenne en charge `examples`, OpenAPI prenait déjà en charge un autre champ également appelé `examples`.