assertThat(headers.getInstant("Test-Instant")).isEqualTo(expected)
  }

  @Test fun addParsing() {
    val headers =
      Headers.Builder()
        .add("foo: bar")
        .add(" foo: baz") // Name leading whitespace is trimmed.
        .add("foo : bak") // Name trailing whitespace is trimmed.
        .add("\tkey\t:\tvalue\t") // '\t' also counts as whitespace
        .add("ping:  pong  ") // Value whitespace is trimmed.

cat > testobject << EOF
MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads.
EOF
```

Upload this object to the bucket via `mc cp`
```
mc cp testobject myminio/functionbucket/
```

## Invoke Lambda transformation via PresignedGET

---

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//	{
//		outcode(int($1), &$2, 0, &nullgen);
//	}
	NOP	F2

//	LNOP ',' rreg // asm doesn't support the leading comma.
//	{
//		outcode(int($1), &nullgen, 0, &$3);
//	}
	NOP	R2

//	LNOP ',' freg // asm doesn't support the leading comma.
//	{
//		outcode(int($1), &nullgen, 0, &$3);
//	}
	NOP	F2

//	LNOP imm
//	{
//		outcode(int($1), &$2, 0, &nullgen);

catch() {
	if [ $# -ne 0 ]; then
		echo "error on line $1"
		echo "server logs ========="
		cat "/tmp/sitea_1.log"
		echo "==========================="
		cat "/tmp/sitea_2.log"
	fi

	echo "Cleaning up instances of MinIO"
	pkill minio
	pkill -9 minio
	rm -rf /tmp/multisitea
	if [ $# -ne 0 ]; then
		exit $#
	fi
}

catch

set -e
export MINIO_CI_CD=1
export MINIO_BROWSER=off

		"Average last minute latency in µs for drive API storage operations",
		append(allDriveLabels, apiL)...)
	driveHealthMD = NewGaugeMD(driveHealth,
		"Drive health (0 = offline, 1 = healthy, 2 = healing)", allDriveLabels...)

	driveOfflineCountMD = NewGaugeMD(driveOfflineCount,
		"Count of offline drives")
	driveOnlineCountMD = NewGaugeMD(driveOnlineCount,
		"Count of online drives")

	docker volume rm $(docker volume ls -q -f dangling=true) || true
}

verify_checksum_after_heal() {
	local sum1
	sum1=$(curl -s "$2" | sha256sum)
	mc admin heal --json -r "$1" >/dev/null # test after healing
	local sum1_heal
	sum1_heal=$(curl -s "$2" | sha256sum)

	if [ "${sum1_heal}" != "${sum1}" ]; then
		echo "mismatch expected ${sum1_heal}, got ${sum1}"
		exit 1
	fi
}

verify_checksum_mc() {

	exit 1
fi

trap 'catch $LINENO' ERR

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

# shellcheck disable=SC2120
catch() {
	if [ $# -ne 0 ]; then
		echo "error on line $1"
	fi

	echo "Cleaning up instances of MinIO"
	pkill minio || true
	pkill -9 minio || true
	purge "$WORK_DIR"
	if [ $# -ne 0 ]; then
		exit $#
	fi
}

catch

function start_minio_10drive() {
	start_port=$1

///

/// tip | "Dica"



///

	Se você está se perguntando, "AlexNet", "ResNet", e "LeNet" são apenas nomes de <abbr title="técnicamente, modelos de arquitetura de Deep Learning">modelos</abbr> de Machine Learning (aprendizado de máquina).

### Declare um *parâmetro de rota*

Logo, crie um *parâmetro de rota* com anotações de tipo usando a classe enum que você criou (`ModelName`):

```Python hl_lines="16"

## we do not need to fail here, since we are going to test
## upgrading to master, healing and being able to recover
## the last version.
if [ $failed_count_site1 -ne 0 ]; then
	echo "failed with multipart on site1 uploads ${failed_count_site1}"
fi

if [ $failed_count_site2 -ne 0 ]; then