// use the normalized form of the entityName (which will be an LDAP DN).
	userType := IAMUserType(mapping.UserType)
	isGroup := mapping.IsGroup
	entityName := mapping.UserOrGroup
	if globalIAMSys.GetUsersSysType() == LDAPUsersSysType && userType == stsUser {

		// Validate that the user or group exists in LDAP and use the normalized
		// form of the entityName (which will be an LDAP DN).

	input := &example.Pod{ObjectMeta: metav1.ObjectMeta{Name: "foo", Namespace: "test-ns"}}
	key := computePodKey(input)

	// serialize input into etcd with data that would be normalized by a write -
	// in this case, leading whitespace
	revertTransformer := store.UpdatePrefixTransformer(
		func(transformer *PrefixTransformer) value.Transformer {

    // Compute the total number of integer steps and convert to the HLO
    // dimension tensor.
    auto normalized =
        rewriter.create<mhlo::DivOp>(op.getLoc(), abs_cast, delta_cast);
    auto ceil = rewriter.create<mhlo::CeilOp>(op.getLoc(), normalized);
    auto steps = rewriter.create<mhlo::ConvertOp>(
        op.getLoc(),

        for details on how to use the callback.
*   `tf.image.extract_glimpse` has been updated to correctly process the case
    where `centered=False` and `normalized=False`. This is a breaking change as
    the output is different from (incorrect) previous versions. Note this
    breaking change only impacts `tf.image.extract_glimpse` and