for b.Loop() {
			benchmarkBufioScanner(smallInput)
		}
	})
	b.Run("medium", func(b *testing.B) {
		for b.Loop() {
			benchmarkBufioScanner(mediumInput)
		}
	})
	b.Run("large", func(b *testing.B) {
		for b.Loop() {
			benchmarkBufioScanner(largeInput)
		}
	})
}

func benchmarkBufioScanner(b []byte) {
	s := bufio.NewScanner(bytes.NewReader(b))
	s.Split(bufio.ScanBytes)

	opReadRune4 readOp = 4  // Read rune of size 4.
)

// ErrTooLarge is passed to panic if memory cannot be allocated to store data in a buffer.
var ErrTooLarge = errors.New("bytes.Buffer: too large")
var errNegativeRead = errors.New("bytes.Buffer: reader returned negative count from Read")

const maxInt = int(^uint(0) >> 1)

// Bytes returns a slice of length b.Len() holding the unread portion of the buffer.

Two file sizes are used -- regular (1.6mb, 1000 objects) and large (128mb, 100000 objects)

input size | lib | MB/s | Allocated
--- | --- | --- | ---
regular | standard | 97 | 3.6MB
regular | jstream | 175 | 2.1MB
large | standard | 92 | 305MB
large | jstream | 404 | 69MB

      assertThrows<IllegalArgumentException> {
        checkDuration(
          "timeout",
          1L + Int.MAX_VALUE.toLong(),
          TimeUnit.MILLISECONDS,
        )
      },
    ).hasMessage("timeout too large")
  }

  @Test
  fun testDurationDuration() {
    assertThat(checkDuration("timeout", 0.milliseconds)).isEqualTo(0)
    assertThat(checkDuration("timeout", 1.milliseconds)).isEqualTo(1)

    assertThat(

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("/")

          .build(),
      )
    call1.execute().use { response -> response.body.string() }

    listener.shouldClose = true
    // Large headers are a likely reason the servers would cut off the connection before it completes sending
    // request headers.
    // 431 "Request Header Fields Too Large"
    val largeHeaders =
      Headers
        .Builder()
        .apply {
          repeat(32) {

from docs_src.custom_response import tutorial008_py39
from docs_src.custom_response.tutorial008_py39 import app

client = TestClient(app)


def test_get(tmp_path: Path):
    file_path: Path = tmp_path / "large-video-file.mp4"
    tutorial008_py39.some_file_path = str(file_path)
    test_content = b"Fake video bytes"
    file_path.write_bytes(test_content)
    response = client.get("/")

Do *not* use the MinIO Grid for:

* Large payloads.

Only a single connection is ever made between two servers.
Likely this means that this connection will not be able to saturate network bandwidth.
Therefore, using this for large payloads will likely be slower than using a separate connection,
and other connections will be blocked while the large payload is being sent.

## Handlers & Routes

from fastapi import FastAPI
from fastapi.responses import FileResponse

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


@app.get("/")
async def main():

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