taskFaker.runNextTask()

    // The rebuild is retried on cache hits and on cache edits.
    val snapshot = cache["b"]!!
    snapshot.close()
    assertThat(cache.edit("d")).isNull()
    assertThat(taskFaker.isIdle()).isFalse()

    // On cache misses, no retry job is queued.
    assertThat(cache["c"]).isNull()
    assertThat(taskFaker.isIdle()).isFalse()

		newCache.buildUserGroupMemberships()
	}

	cache := store.lock()
	defer store.unlock()

	// We should only update the in-memory cache if there were no changes
	// to the in-memory cache since the disk loading began. If there
	// were changes to the in-memory cache we should wait for the next
	// cycle until we can safely update the in-memory cache.
	//
	// An in-memory cache must be replaced only if we know for sure that the

					"launcher",
					"plugins-java",
					"antlr",
					"base-services",
					"build-cache",
					"build-cache-http",
					"build-cache-local",
					"build-cache-spi",
					"build-configuration",
					"build-events",
					"build-init",
					"build-profile",
					"composite-builds",
					"configuration-cache",
					"core",
					"core-api",
					"declarative-dsl-core",

 * by the garbage collector. Entries with reclaimed keys or values may be removed from the cache on
 * each cache modification, on occasional cache accesses, or on calls to {@link Cache#cleanUp}; such
 * entries may be counted in {@link Cache#size}, but will never be visible to read or write
 * operations.
 *

     */
    fun cookieJar(cookieJar: CookieJar) =
      apply {
        this.cookieJar = cookieJar
      }

    /** Sets the response cache to be used to read and write cached responses. */
    fun cache(cache: Cache?) =
      apply {
        this.cache = cache
      }

    internal fun taskRunner(taskRunner: TaskRunner) =
      apply {
        this.taskRunner = taskRunner
      }

    /**

# Cache pushes are limited to TF's CI system.
build:tf_public_cache_push --config=tf_public_cache --remote_upload_local_results=true --google_default_credentials
# Public cache for macOS builds
build:tf_public_macos_cache --remote_cache="https://storage.googleapis.com/tensorflow-macos-bazel-cache/oct2023" --remote_upload_local_results=false

    assertThat(cache.requestCount()).isEqualTo(1)
    assertThat(cache.networkCount()).isEqualTo(1)
    assertThat(cache.hitCount()).isEqualTo(0)
    val call2 = client.newCall(Request(server.url("/")))
    val response2 = call2.execute()
    assertThat(response2.body.string()).isEqualTo("A")
    assertThat(cache.requestCount()).isEqualTo(2)
    assertThat(cache.networkCount()).isEqualTo(2)

        return importModel;
    }

    private static <T> T cache(
            ModelCache cache, String groupId, String artifactId, String version, String tag, Callable<T> supplier) {
        Supplier<T> s = asSupplier(supplier);
        if (cache == null) {
            return s.get();
        } else {
            return cache.computeIfAbsent(groupId, artifactId, version, tag, s);
        }
    }

4. Установите библиотеки перечисленные в файле с зависимостями.

    Опция `--no-cache-dir` указывает `pip` не сохранять загружаемые библиотеки на локальной машине для использования их в случае повторной загрузки. В контейнере, в случае пересборки этого шага, они всё равно будут удалены.

    !!! note "Заметка"
        Опция `--no-cache-dir` нужна только для `pip`, она никак не влияет на Docker или контейнеры.

			if err == nil {
				cache.Info.replication = replicationConfig{
					Config:  rcfg,
					remotes: tgts,
				}
			}
		}
	}

	vcfg, _ := globalBucketVersioningSys.Get(cache.Info.Name)

	// return initialized object layer
	objAPI := newObjectLayerFn()
	// object layer not initialized, return.
	if objAPI == nil {
		return cache, errServerNotInitialized
	}