Ce concept se nomme l'"asynchronisme" car l'ordinateur / le programme n'a pas besoin d'être "synchronisé" avec la tâche, attendant le moment exact où cette dernière se terminera en ne faisant rien, pour être capable de récupérer le résultat de la tâche et l'utiliser dans la suite des opérations.

// `.TnitOnce`.
func New[T any]() *Cache[T] {
	return &Cache[T]{}
}

// NewFromFunc allocates a new cached value instance and initializes it with an
// update function, making it ready for use.
func NewFromFunc[T any](ttl time.Duration, opts Opts, update func(ctx context.Context) (T, error)) *Cache[T] {
	return &Cache[T]{
		ttl:      ttl,
		updateFn: update,
		opts:     opts,
	}
}

// Copyright 2015 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

// Package arch defines architecture-specific information and support functions.
package arch

import (
	"cmd/internal/obj"
	"cmd/internal/obj/arm"
	"cmd/internal/obj/arm64"
	"cmd/internal/obj/loong64"
	"cmd/internal/obj/mips"
	"cmd/internal/obj/ppc64"
	"cmd/internal/obj/riscv"

)

// metricsCache - cache for metrics.
//
// When serving metrics, this cache is passed to the MetricsLoaderFn.
//
// This cache is used for metrics that would result in network/storage calls.
type metricsCache struct {
	dataUsageInfo       *cachevalue.Cache[DataUsageInfo]
	esetHealthResult    *cachevalue.Cache[HealthResult]
	driveMetrics        *cachevalue.Cache[storageMetrics]

// dataUsageCacheV2 contains a cache of data usage entries version 2.
type dataUsageCacheV2 struct {
	Info  dataUsageCacheInfo
	Cache map[string]dataUsageEntryV2
}

// dataUsageCacheV3 contains a cache of data usage entries version 3.
type dataUsageCacheV3 struct {
	Info  dataUsageCacheInfo
	Cache map[string]dataUsageEntryV3
}

// dataUsageCacheV4 contains a cache of data usage entries version 4.

    )

fun Project.isExpectedCompileCacheMiss() =
// Expected cache-miss:
// 1. CompileAll is the seed build
// 2. Gradleception which re-builds Gradle with a new Gradle version
// 3. buildScanPerformance test, which doesn't depend on compileAll
// 4. buildScanPerformance test, which doesn't depend on compileAll
// 5. Compile All for the experimental build cache NG
// 6. BuildCommitDistribution may build a commit which is not built before

    }
}

fun javaHome(jvm: Jvm, os: Os, arch: Arch = Arch.AMD64) = "%${os.name.lowercase()}.${jvm.version}.${jvm.vendor}.${arch.suffix}%"

fun BuildType.paramsForBuildToolBuild(buildJvm: Jvm = BuildToolBuildJvm, os: Os, arch: Arch = Arch.AMD64) {
    params {
        param("env.BOT_TEAMCITY_GITHUB_TOKEN", "%github.bot-teamcity.token%")
        param("env.GRADLE_CACHE_REMOTE_SERVER", "%gradle.cache.remote.server%")

# This bazelrc can build a CPU-supporting TF package.

# Convenient cache configurations
# Use a cache directory mounted to /tf/cache. Very useful!
build:sigbuild_local_cache --disk_cache=/tf/cache
# Use the public-access TF DevInfra cache (read only)
build:sigbuild_remote_cache --remote_cache="https://storage.googleapis.com/tensorflow-devinfra-bazel-cache/manylinux2014" --remote_upload_local_results=false

# This bazelrc can build a CPU-supporting TF package.

# Convenient cache configurations
# Use a cache directory mounted to /tf/cache. Very useful!
build:sigbuild_local_cache --disk_cache=/tf/cache
# Use the public-access TF DevInfra cache (read only)
build:sigbuild_remote_cache --remote_cache="https://storage.googleapis.com/tensorflow-devinfra-bazel-cache/manylinux2014" --remote_upload_local_results=false

import jetbrains.buildServer.configs.kotlin.BuildType
import jetbrains.buildServer.configs.kotlin.ParameterDisplay

class RerunFlakyTest(os: Os, arch: Arch = Arch.AMD64) : BuildType({
    val id = "Util_RerunFlakyTest${os.asName()}${arch.asName()}"
    name = "Rerun Flaky Test - ${os.asName()} ${arch.asName()}"
    description = "Allows you to rerun a selected flaky test 10 times"
    id(id)
    val testJvmVendorParameter = "testJavaVendor"