unset MINIO_KMS_AUTO_ENCRYPTION # do not auto-encrypt objects
	export MINIO_CI_CD=1

	mkdir ${WORK_DIR}
	C_PWD=${PWD}
	if [ ! -x "$PWD/mc" ]; then
		MC_BUILD_DIR="mc-$RANDOM"
		if ! git clone --quiet https://github.com/minio/mc "$MC_BUILD_DIR"; then
			echo "failed to download https://github.com/minio/mc"
			purge "${MC_BUILD_DIR}"
			exit 1
		fi

		(cd "${MC_BUILD_DIR}" && go build -o "$C_PWD/mc")

kernel.numa_balancing=1

# Do not use swap at all
vm.swappiness=0
vm.vfs_cache_pressure=50

# Start writeback at 3% memory
vm.dirty_background_ratio=3
# Force writeback at 10% memory
vm.dirty_ratio=10

# Quite a few memory map
# areas may be consumed
vm.max_map_count=524288

# Default is 500000 = 0.5ms
kernel.sched_migration_cost_ns=5000000

# stalled hdd io threads
kernel.hung_task_timeout_secs=85

    * Se você quer fazer comparações com o Starlette, compare com Sanic, Flask, Django, etc. _Frameworks Web_ (ou _microframeworks_).
* **FastAPI**:
    * Do mesmo modo que Starlette utiliza Uvicorn e não pode ser mais rápido que ele, **FastAPI** utiliza o Starlette, então não tem como ser mais rápido do que o Starlette.

	echo '{"version": "3", "credential": {"accessKey": "minio", "secretKey": "minio123"}, "region": "us-east-1"}' >"$MINIO_CONFIG_DIR/config.json"

	if [ ! -f /tmp/mc ]; then
		wget --quiet -O /tmp/mc https://dl.minio.io/client/mc/release/linux-amd64/mc &&
			chmod +x /tmp/mc
	fi
}

function upload_objects() {
	/tmp/mc mb myminio/testbucket/
	for ((i = 0; i < 20; i++)); do

export MC_HOST_myminio1="http://dillon-service-2:dillon-service-2@localhost:22000"

# Start MinIO instance
export CI=true

if [ ! -f ./mc ]; then
	wget --quiet -O mc https://dl.minio.io/client/mc/release/linux-amd64/mc &&
		chmod +x mc
fi

mc -v

# Start openid server
(
	cd ./minio-iam-testing
	make docker-images
	make docker-run
	cd -
)

            <configuration>
              <target name="copy-gwt-resources">
                <delete dir="${project.build.directory}/guava-gwt-sources" quiet="true" />
                <delete dir="${project.build.directory}/guava-test-gwt-sources" quiet="true" />

                <copy toDir="${project.build.directory}/guava-gwt-sources">
                  <fileset dir="${project.build.directory}/guava-sources">

Por ejemplo, podrías decidir leer y validar el request con tu propio código, sin usar las funcionalidades automáticas de FastAPI con Pydantic, pero aún podrías querer definir el request en el esquema de OpenAPI.

Podrías hacer eso con `openapi_extra`:

{* ../../docs_src/path_operation_advanced_configuration/tutorial006.py hl[19:36, 39:40] *}

### Contenedores con Múltiples Procesos y Casos Especiales

Por supuesto, hay **casos especiales** donde podrías querer tener **un contenedor** con varios **worker processes de Uvicorn** dentro.

En esos casos, puedes usar la opción de línea de comandos `--workers` para establecer el número de workers que deseas ejecutar:

# Verify the list of users and service accounts from the import
./mc admin user list myminio
USER_COUNT=$(./mc admin user list myminio | wc -l)
if [ "${USER_COUNT}" -ne 2 ]; then
	echo "BUG: Expected no of users: 2 Found: ${USER_COUNT}"
	exit 1
fi
./mc admin user svcacct list myminio "uid=bobfisher,ou=people,ou=hwengg,dc=min,dc=io" --json

unset MINIO_KMS_KES_CERT_FILE
unset MINIO_KMS_KES_KEY_FILE
unset MINIO_KMS_KES_ENDPOINT
unset MINIO_KMS_KES_KEY_NAME

if [ ! -f ./mc ]; then
	wget --quiet -O mc https://dl.minio.io/client/mc/release/linux-amd64/mc &&
		chmod +x mc
fi

minio server --address 127.0.0.1:9001 "http://127.0.0.1:9001/tmp/multisitea/data/disterasure/xl{1...4}" \