fun executerRequiresFullDistribution(taskName: String) =
    taskName.startsWith("noDaemon")

fun DistributionTest.addSetUpAndTearDownActions() {
    cachesCleaner = cachesCleanerService
    gradle.rootBuild().sharedServices.registrations.findByName("daemonTracker")?.let {
        tracker = it.service
    }
}

fun DistributionTest.configureGradleTestEnvironment() {
    val taskName = name

    gradleInstallationForTest.apply {

	}
	if c.Proxy != "" {
		os.Setenv("CONSOLE_SUBNET_PROXY", c.Proxy)
	}
	os.Setenv("CONSOLE_SUBNET_URL", c.BaseURL)
}

// Update - in-place update with new license and registration information.
func (c *Config) Update(ncfg Config, isDevEnv bool) {
	configLock.Lock()
	defer configLock.Unlock()

	c.License = ncfg.License
	c.APIKey = ncfg.APIKey
	c.Proxy = ncfg.Proxy

setattr(_current_module, "optimizers", _optimizers)
setattr(_current_module, "initializers", _initializers)


# Do an eager load for Keras' code so that any function/method that needs to
# happen at load time will trigger, eg registration of optimizers in the
# SavedModel registry.
# See b/196254385 for more details.
try:
  if _tf_uses_legacy_keras:
    importlib.import_module("tf_keras.src.optimizers")
  else: