1 * excludeRuleConverter.convertExcludeRule(excludeRule) >> ivyExcludeRule
        excludes == ImmutableList.of(ivyExcludeRule)
    }

    def create() {
        return converter.create(configuration, configurationsProvider, componentId, cache, RootScriptDomainObjectContext.INSTANCE, TestUtil.calculatedValueContainerFactory())
    }

      tensorflow::GetTypeFromTFTensorShape({1}, shape_dtype);
  auto expanded_start_index = rewriter->create<TF::ExpandDimsOp>(
      loc, vector_type, start_index, scalar_zero);
  auto start_position = rewriter->create<TF::ConcatOp>(
      loc, position_type, scalar_zero,
      ArrayRef<Value>({expanded_start_index, partial_start_position}));

  // Create the slice size tensor. This is done by concatenating `size` and
  // `partial_size`.

    rewriter.setInsertionPoint(req_op);
    Value new_result = rewriter.create<mlir::stablehlo::UniformDequantizeOp>(
        req_op.getLoc(), func_op.getResultTypes()[0], req_op.getOperand());
    if (func_name.contains("_relu6_")) {
      auto min = rewriter.create<mlir::stablehlo::ConstantOp>(
          req_op.getLoc(), rewriter.getF32FloatAttr(0));
      auto max = rewriter.create<mlir::stablehlo::ConstantOp>(

      // Add dequantize.
      builder.setInsertionPointAfter(read_variable_op);
      auto new_read_variable_op =
          builder.create<ReadVariableOp>(read_variable_op.getLoc(), ref_qtype,
                                         read_variable_op.getResourceId());
      auto new_dq_op = builder.create<DequantizeOp>(
          read_variable_op.getLoc(), read_variable_op.getResult().getType(),
          new_read_variable_op.getResult());

    }
  }

  // Create a dense constant op for slice's begin
  auto slice_i2c_begin =
      CreateI64DenseConst(builder, begin_shape, begin_values, location);

  // Create a dense constant op for slice's size
  auto slice_i2c_size =
      CreateI64DenseConst(builder, size_shape, size_values, location);

  return builder->create<TF::SliceOp>(
      location,
      RankedTensorType::get(

                CommandLineOptionConfiguration.create(QUIET_LONG_OPTION, QUIET_SHORT_OPTION, "Log errors only."),
                CommandLineOptionConfiguration.create(WARN_LONG_OPTION, WARN_SHORT_OPTION, "Set log level to warn."),
                CommandLineOptionConfiguration.create(INFO_LONG_OPTION, INFO_SHORT_OPTION, "Set log level to info."),

  auto erf_op = rewriter.create<chlo::ErfOp>(mul_op.getLoc(), mul_op);
  auto add_op =
      rewriter.create<stablehlo::AddOp>(erf_op.getLoc(), erf_op, one_cst);
  auto lhs_mul_op = rewriter.create<stablehlo::MulOp>(
      half_cst.getLoc(), new_func.getArguments()[0], half_cst);
  auto output_mul_op = rewriter.create<stablehlo::MulOp>(lhs_mul_op.getLoc(),

		authzErr                         error
	}{
		{
			description:                      "wrong type on create",
			clusterTrustBundleFeatureEnabled: true,
			attributes: &testAttributes{
				resource:  certificatesapi.Resource("clustertrustbundles"),
				obj:       &certificatesapi.ClusterTrustBundleList{},
				operation: admission.Create,
			},
			allowed: false,
		},
		{
			description:                      "wrong type on update",

        this.globalContext = buildScopeServices::get;
    }

    /**
     * Create a calculated value that may have dependencies or that may need to access mutable model state.
     */
    public <T, S extends ValueCalculator<? extends T>> CalculatedValueContainer<T, S> create(DisplayName displayName, S supplier) {

 * implementations.</p>
 *
 * <p>To create a project instance:</p>
 *
 * <ol>
 *
 * <li>Create a {@code ProjectBuilder} instance by calling {@link #builder()}.</li>
 *
 * <li>Optionally, configure the builder.</li>
 *
 * <li>Call {@link #build()} to create the {@code Project} instance.</li>
 *
 * </ol>
 *
 * <p>You can reuse a builder to create multiple {@code Project} instances.</p>
 *