else
		echo -e "${GREEN}${1} Passed${NC}"
	fi
}

function verify_resiliency_healing() {
	local WANT=$2
	docs/resiliency/resiliency-verify-healing-script.sh "$WANT"
	RESULT=$(grep "script passed" <resiliency-verify-healing.log)
	if [ "$RESULT" != "script passed" ]; then
		echo -e "${RED}${1} Failed${NC}"
		TESTS_RUN_STATUS=$((TESTS_RUN_STATUS & 0))
	else
		echo -e "${GREEN}${1} Passed${NC}"
	fi
}

        run('checkDeadInternalLinks').buildAndFail()

        then:
        assertFoundDeadJavadocLinks(sampleDoc, "org/gradle/nowhere/tasks/InputDirectory.html")
    }

    def "finds broken javadoc links with leading javadoc path component"() {
        given:
        sampleDoc << """
=== Invalid Javadoc Links

    "input": "aa--",
    "output": "aa--"
  },
  {
    "input": "a†--",
    "output": "xn--a---kp0a"
  },
  {
    "input": "ab--c",
    "output": "ab--c"
  },
  {
    "comment": "Label with leading hyphen",
    "input": "-x",
    "output": "-x"
  },
  {
    "input": "-†",
    "output": "xn----xhn"
  },
  {
    "input": "-x.xn--zca",
    "output": "-x.xn--zca"
  },
  {
    "input": "-x.ß",

		"substring('abcd' from 2)",
		"substring('abcd' , 2 , 2)",

		"substring('abcd' , 22 )",
		"trim('  aab  ')",
		"trim(leading from '  aab  ')",
		"trim(trailing from '  aab  ')",
		"trim(both from '  aab  ')",

		"trim(both '12' from '  aab  ')",
		"trim(leading '12' from '  aab  ')",
		"trim(trailing '12' from '  aab  ')",
		"count(23)",
	}
	for i, tc := range validCases {

	// Set a unique 'uuid' for this disk, only used when
	// disk is replaced and formatted.
	SetDiskID(id string)

	// Returns healing information for a newly replaced disk,
	// returns 'nil' once healing is complete or if the disk
	// has never been replaced.
	Healing() *healingTracker
	DiskInfo(ctx context.Context, opts DiskInfoOptions) (info DiskInfo, err error)

	ctx, cancel := context.WithCancel(b.Context())
	defer cancel()
	objLayer, disks, err := prepareTestBackend(ctx, instanceType)
	if err != nil {
		b.Fatalf("Failed obtaining Temp Backend: <ERROR> %s", err)
	}
	// cleaning up the backend by removing all the directories and files created on function return.
	defer removeRoots(disks)

	// uses *testing.B and the object Layer to run the benchmark.
	runPutObjectPartBenchmark(b, objLayer, objSize)

  }

  @Throws(IOException::class)
  private fun completeEvent(
    id: String?,
    type: String?,
    data: Buffer,
  ) {
    if (data.size != 0L) {
      lastId = id
      data.skip(1L) // Leading newline.
      callback.onEvent(id, type, data.readUtf8())
    }
  }

  companion object {
    val options =
      Options.of(
        // 0
        "\r\n".encodeUtf8(),
        // 1

//	path: 'bucket/object' => Heal object
type healTask struct {
	bucket    string
	object    string
	versionID string
	opts      madmin.HealOpts
	// Healing response will be sent here
	respCh chan healResult
}

// healResult represents a healing result with a possible error
type healResult struct {
	result madmin.HealResultItem
	err    error
}

Eso, más el simple hecho de que Python es el lenguaje principal para **Data Science**, Machine Learning y especialmente Deep Learning, hacen de FastAPI una muy buena opción para APIs web de Data Science / Machine Learning y aplicaciones (entre muchas otras).

// Code generated by "stringer -type=healingMetric -trimprefix=healingMetric erasure-healing.go"; DO NOT EDIT.

package cmd

import "strconv"

func _() {
	// An "invalid array index" compiler error signifies that the constant values have changed.
	// Re-run the stringer command to generate them again.
	var x [1]struct{}
	_ = x[healingMetricBucket-0]
	_ = x[healingMetricObject-1]
	_ = x[healingMetricCheckAbandonedParts-2]
}