from fastapi import FastAPI
from fastapi.responses import StreamingResponse

some_file_path = "large-video-file.mp4"
app = FastAPI()


@app.get("/")
def main():
    def iterfile():  # (1)
        with open(some_file_path, mode="rb") as file_like:  # (2)
            yield from file_like  # (3)

cff-version: 1.2.0
message: "If you use TensorFlow in your research, please cite it using these metadata. Software is available from tensorflow.org."
title: TensorFlow, Large-scale machine learning on heterogeneous systems

* This means that it will work well for large files like images, videos, large binaries, etc. without consuming all the memory.
* You can get metadata from the uploaded file.
* It has a <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">file-like</a> `async` interface.

        assertNotNull(deserialized.getData());
    }

    /**
     * Test transformer with large data
     */
    public void test_transformerWithLargeData() {
        TestTransformer transformer = new TestTransformer("largeDataTransformer");

        // Create large response data
        byte[] largeBody = new byte[10 * 1024 * 1024]; // 10MB
        for (int i = 0; i < largeBody.length; i++) {

  "durations" : [ {
    "testProject" : "excludeRuleMergingBuild",
    "linux" : 233
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.corefeature.LargeDependencyGraphPerformanceTest.resolve large dependency graph (parallel = false, locking = true)",
  "durations" : [ {

from fastapi import FastAPI
from fastapi.responses import FileResponse

some_file_path = "large-video-file.mp4"
app = FastAPI()


@app.get("/", response_class=FileResponse)
async def main():

Dann gehen Sie zur Theke 🔀, zur ursprünglichen Aufgabe, die nun erledigt ist ⏯, nehmen die Burger auf, sagen Danke, und bringen sie zum Tisch. Damit ist dieser Schritt / diese Aufgabe der Interaktion mit der Theke abgeschlossen ⏹. Das wiederum schafft eine neue Aufgabe, „Burger essen“ 🔀 ⏯, aber die vorherige Aufgabe „Burger holen“ ist erledigt ⏹.

        assertEquals(Integer.MIN_VALUE, serverData.scapabilities);
    }

    /**
     * Test large byte arrays
     */
    @Test
    @DisplayName("Test large byte arrays")
    public void testLargeByteArrays() {
        // Test with large encryption key
        byte[] largeKey = new byte[256];
        for (int i = 0; i < largeKey.length; i++) {

                                                            <button type="button"
                                                                    class="btn btn-xs btn-danger"
                                                                    data-toggle="modal" data-target="#confirmToDelete"
                                                                    data-docid="${f:u(doc.doc_id)}"

from docs_src.custom_response import tutorial009_py39
from docs_src.custom_response.tutorial009_py39 import app

client = TestClient(app)


def test_get(tmp_path: Path):
    file_path: Path = tmp_path / "large-video-file.mp4"
    tutorial009_py39.some_file_path = str(file_path)
    test_content = b"Fake video bytes"
    file_path.write_bytes(test_content)
    response = client.get("/")