redundancy or better drive space utilization.

To get an idea of how various combinations of data and parity drives affect the storage usage, let’s take an example of a 100 MiB file stored
on 16 drive MinIO deployment. If you use eight data and eight parity drives, the file space usage will be approximately twice, i.e. 100 MiB

            "five", 5,
            "six", 6,
            "seven", 7,
            "eight", 8),
        "one",
        1,
        "two",
        2,
        "three",
        3,
        "four",
        4,
        "five",
        5,
        "six",
        6,
        "seven",
        7,
        "eight",
        8);
    assertMapEquals(
        ImmutableMap.of(
            "one", 1,

   * The maximum number of requests to execute concurrently. Above this requests queue in memory,
   * waiting for the running calls to complete.
   *
   * If more than [maxRequests] requests are in flight when this is invoked, those requests will
   * remain in flight.
   */
  var maxRequests = 64
    get() = this.withLock { field }
    set(maxRequests) {
      require(maxRequests >= 1) { "max < 1: $maxRequests" }
      this.withLock {

    return Ints.fromBytes(b4, b3, b2, b1);
  }

  /**
   * Reads a {@code long} as specified by {@link DataInputStream#readLong()}, except using
   * little-endian byte order.
   *
   * @return the next eight bytes of the input stream, interpreted as a {@code long} in
   *     little-endian byte order
   * @throws IOException if an I/O error occurs
   */
  @CanIgnoreReturnValue // to skip some bytes
  @Override

            "five", 5,
            "six", 6,
            "seven", 7,
            "eight", 8),
        "one",
        1,
        "two",
        2,
        "three",
        3,
        "four",
        4,
        "five",
        5,
        "six",
        6,
        "seven",
        7,
        "eight",
        8);
    assertMapEquals(
        ImmutableMap.of(
            "one", 1,

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package bandwidth

import (
	"sync"
	"sync/atomic"
	"time"
)

const (
	// betaBucket is the weight used to calculate exponential moving average
	betaBucket = 0.1 // Number of averages considered = 1/(1-betaObject)
)

// bucketMeasurement captures the bandwidth details for one bucket
type bucketMeasurement struct {

	<key>rules</key>
	<dict>
		<key>.*</key>
		<true/>
		<key>Info.plist</key>
		<dict>
			<key>omit</key>
			<true/>
			<key>weight</key>
			<integer>10</integer>
		</dict>
		<key>ResourceRules.plist</key>
		<dict>
			<key>omit</key>
			<true/>
			<key>weight</key>
			<integer>100</integer>
		</dict>
	</dict>
</dict>
</plist>

from fastapi import FastAPI

app = FastAPI()


@app.get("/keyword-weights/", response_model=dict[str, float])
async def read_keyword_weights():

from typing import Dict

from fastapi import FastAPI

app = FastAPI()


@app.get("/keyword-weights/", response_model=Dict[str, float])
async def read_keyword_weights():

3389226,2,2014-03-26 17:13:28,2014-03-26 17:19:07,N,1,-73.949493408203125,40.793506622314453,-73.943374633789063,40.786155700683594,1,0.82,5.5,1,0.5,0,0,,,7,1,1,75,75,green,0.00,0.0,0.0,36,24,11.86,1267,168,1,Manhattan,016800,1016800,E,MN33,East...