"${PWD}/mc" cat --vid "${vid}" minio/bucket/testobj | md5sum
	done

	pkill minio
	sleep 3
}

function main() {
	start_port=$(shuf -i 10000-65000 -n 1)

	start_minio_4drive ${start_port}
}

function purge() {
	rm -rf "$1"
}

(main "$@")
rv=$?
purge "$WORK_DIR"

  @Override
  public Set<T> asSet() {
    return Collections.singleton(reference);
  }

  @Override
  public <V> Optional<V> transform(Function<? super T, V> function) {
    return new Present<>(
        checkNotNull(
            function.apply(reference),
            "the Function passed to Optional.transform() must not return null."));
  }

  @Override
  public boolean equals(@CheckForNull Object object) {

   *
   * <p>Equivalent to {@link #binarySearch(List, Object, Comparator, KeyPresentBehavior,
   * KeyAbsentBehavior)} using {@link Lists#transform(List, Function) Lists.transform(list,
   * keyFunction)}.
   */
  public static <E extends @Nullable Object, K extends @Nullable Object> int binarySearch(
      List<E> list,
      Function<? super E, K> keyFunction,
      @ParametricNullness K key,

///

## Create a middleware

To create a middleware you use the decorator `@app.middleware("http")` on top of a function.

The middleware function receives:

* The `request`.
* A function `call_next` that will receive the `request` as a parameter.
    * This function will pass the `request` to the corresponding *path operation*.
    * Then it returns the `response` generated by the corresponding *path operation*.

#include "absl/strings/match.h"
#include "tensorflow/c/c_api_internal.h"
#include "tensorflow/c/tf_buffer_internal.h"
#include "tensorflow/core/framework/attr_value_util.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/framework/function.pb.h"
#include "tensorflow/core/framework/graph_to_functiondef.h"
#include "tensorflow/core/framework/node_def.pb.h"
#include "tensorflow/core/framework/node_def_util.h"

sequenceDiagram

participant code as Código
participant function as say_hi()
participant execute as Executar Função

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Camila")
        function ->> execute: executar código da função
        execute ->> code: retornar o resultado
    end

    rect rgba(0, 255, 255, .1)
        code ->> function: say_hi(name="Camila")

   *
   * <p>Equivalent to {@link #binarySearch(List, Object, Comparator, KeyPresentBehavior,
   * KeyAbsentBehavior)} using {@link Lists#transform(List, Function) Lists.transform(list,
   * keyFunction)}.
   */
  public static <E extends @Nullable Object, K extends @Nullable Object> int binarySearch(
      List<E> list,
      Function<? super E, K> keyFunction,
      @ParametricNullness K key,

        </ul>
        <script>
        var ws = null;
            function connect(event) {
                var itemId = document.getElementById("itemId")
                var token = document.getElementById("token")
                ws = new WebSocket("ws://localhost:8000/items/" + itemId.value + "/ws?token=" + token.value);
                ws.onmessage = function(event) {
                    var messages = document.getElementById('messages')

# This will run "my-flaky-script.sh", retrying any failed runs that output "connection timed out" up
# to 5 times.

function fail {
  echo "${1}" >&2
  exit 1
}

function isatty() {
 if [ -t 1 ] ; then
   return 0
  else
   return 1
  fi
}

function retry {
  local tmpFile
  tmpFile=$(mktemp)
  trap 'rm -f "${tmpFile}"' EXIT

  local failureRegex="$1"
  shift
  local n=1

## pytest.mark.anyio

Se quisermos chamar funções assíncronas em nossos testes, as nossas funções de teste precisam ser assíncronas. O AnyIO oferece um plugin bem legal para isso, que nos permite especificar que algumas das nossas funções de teste precisam ser chamadas de forma assíncrona.

## HTTPX