t.Fatalf("Unable to change permission to temporary directory %v. %v", permDeniedDir, err)
		}

		// Initialize xlStorage storage layer for permission denied error.
		_, err = newLocalXLStorage(permDeniedDir)
		if err != nil && err != errDiskAccessDenied {
			t.Fatalf("Unable to initialize xlStorage, %s", err)
		}

		if err = os.Chmod(permDeniedDir, 0o755); err != nil {

      self, sess: session.Session
  ) -> Tuple[core.Tensor, core.Tensor, core.Tensor]:
    """Creates a simple model that initializes and lookups a vocab table.

    This model creates an asset file at "vocab_file.txt" containing
    comma-separated vocabularies.  It also initializes a `StaticVocabularyTable`
    and performs a lookup with the input vocabs, which is a 1D tensor of
    strings.

    Args:

	// In that case, we don't remove the final entry.
	if numLMS > 1 {
		sa[lastB] = 0
	}
	return numLMS
}

func induceSubL_8_64(text []byte, sa, freq, bucket []int64) {
	// Initialize positions for left side of character buckets.
	bucketMin_8_64(text, freq, bucket)
	bucket = bucket[:256] // eliminate bounds check for bucket[cB] below

	return objLayer, formattedDisks, nil
}

// removeRoots - Cleans up initialized directories during tests.
func removeRoots(roots []string) {
	for _, root := range roots {
		os.RemoveAll(root)
	}
}

// creates a bucket for the tests and returns the bucket name.
// initializes the specified API endpoints for the tests.
// initializes the root and returns its path.
// return credentials.

	} else {
		sys.store = &IAMStoreSys{newIAMEtcdStore(etcdClient, sys.usersSysType), &singleflight.Group{}}
	}
}

// Initialized checks if IAM is initialized
func (sys *IAMSys) Initialized() bool {
	if sys == nil {
		return false
	}
	sys.Lock()
	defer sys.Unlock()
	return sys.store != nil
}

				}
			}

			// Config and flags parsed, now we can initialize logging.
			logs.InitLogs()
			if err := logsapi.ValidateAndApplyAsField(&kubeletConfig.Logging, utilfeature.DefaultFeatureGate, field.NewPath("logging")); err != nil {
				return fmt.Errorf("initialize logging: %v", err)
			}
			cliflag.PrintFlags(cleanFlagSet)

		return ObjectInfo{}, toObjectErr(errInvalidArgument)
	}

	// Initialize parts metadata
	partsMetadata := make([]FileInfo, len(storageDisks))

	fi := newFileInfo(pathJoin(minioMetaBucket, key), dataDrives, parityDrives)
	fi.DataDir = mustGetUUID()

	// Initialize erasure metadata.
	for index := range partsMetadata {
		partsMetadata[index] = fi
	}

        ModelNode.State.Discovered      | null
        ModelNode.State.Created         | "created"
        ModelNode.State.DefaultsApplied | ModelActionRole.Defaults.name()
        ModelNode.State.Initialized     | ModelActionRole.Initialize.name()
        ModelNode.State.Mutated         | ModelActionRole.Mutate.name()
        ModelNode.State.Finalized       | ModelActionRole.Finalize.name()

  ///     of type `TF_Status*`.
  ///
  /// If `statuses` is not null, plugins must fill each element with detailed
  /// status for each file, as if calling `path_exists` on each one. Core
  /// TensorFlow initializes the `statuses` array and plugins must use
  /// `TF_SetStatus` to set each element instead of directly assigning.
  ///
  /// DEFAULT IMPLEMENTATION: Checks existence of every file. Needs
  /// `path_exists`.

		}
		globalLocalDrivesMu.Unlock()
	}

	z.decommissionCancelers = make([]context.CancelFunc, len(z.serverPools))

	// Initialize the pool meta, but set it to not save.
	// When z.Init below has loaded the poolmeta will be initialized,
	// and allowed to save.
	z.poolMeta = newPoolMeta(z, poolMeta{})
	z.poolMeta.dontSave = true

	bootstrapTrace("newSharedLock", func() {