Properties props = new Properties();

                channel = new RandomAccessFile(touchfile, "rw").getChannel();
                lock = channel.lock();

                if (touchfile.canRead()) {
                    getLogger().debug("Reading resolution-state from: " + touchfile);
                    props.load(Channels.newInputStream(channel));
                }

                this.managedVersions = ArtifactUtils.copyArtifacts(managedVersions, new LinkedHashMap<>());
            }

            File pomFile = pomArtifact.getFile();
            if (pomFile != null && pomFile.canRead()) {
                this.length = pomFile.length();
                this.timestamp = pomFile.lastModified();
            } else {
                this.length = -1;
                this.timestamp = -1;
            }

		UpdateDate: d.UpdateDate,
	}, nil
}

// ListPolicies - lists all canned policies.
func (sys *IAMSys) ListPolicies(ctx context.Context, bucketName string) (map[string]policy.Policy, error) {
	if !sys.Initialized() {
		return nil, errServerNotInitialized
	}

	return sys.store.ListPolicies(ctx, bucketName)
}

// ListPolicyDocs - lists all canned policy docs.

        in early_s in Estimator
    *   Canned Estimators will now use keras optimizers by default. An error
        will be raised if tf.train.Optimizers are used, and you will have to
        switch to tf.keras.optimizers or tf.compat.v1 canned Estimators.
    *   A checkpoint converter for canned Estimators has been provided to
        transition canned Estimators that are warm started from