include("root-build")

// Shared information about external modules
include("dependency-modules")

// Special purpose build logic for root project - please preserve alphabetical order
include("cleanup")
include("idea")
include("lifecycle")

// Special purpose build logic for subproject - please preserve alphabetical order
include("binary-compatibility")
include("build-init-samples")
include("buildquality")
include("documentation")

        final alternateGreeter = new SwiftAlternateGreeter()

        final String moduleName = "Greeter"
        final List<IncrementalElement.Transform> incrementalChanges = [modify(greeter, alternateGreeter), preserve(sum)]

        @Override
        int sum(int a, int b) {
            return sum.sum(a, b)
        }
    }

    class IncrementalSwiftAppWithDep extends IncrementalSwiftApp {
        final SwiftMain main

  SmallVector<Value, 4> operands;
  operands.reserve(operands_size);
  operands.append(while_op.getOperands().begin(), while_op.getOperands().end());
  operands.append(extra_operands.begin(), extra_operands.end());
  SmallVector<Type, 4> new_types;
  new_types.reserve(operands_size);
  new_types.append(while_op.getResultTypes().begin(),

        writeFile(value.file)
        IvyArtifactNameSerializer.INSTANCE.write(this, value.artifactName)
        // TODO - preserve the artifact id implementation instead of unpacking the component id
        componentIdSerializer.write(this, value.id.componentIdentifier)
        // TODO - preserve the artifact's owner id (or get rid of it as it's not used for transforms)
    }

rootProject.name = "preserve-order"...

	var p A
	_ = P2(p) // conversion must be valid
}

func _[P1 S1, P2 S2]() {
	var p P1
	type A = P2
	_ = A(p) // conversion must be valid
}

func _[P int | string]() {
	var p P
	type A = int
	// preserve target type name A in error messages when using Alias types
	// (test are run with and without Alias types enabled, so we need to
	// keep both A and int in the error message)

  if (type.getElementType().isF32()) {
    tflite::internal::sparsity::FormatConverter<float> format_converter(
        shape, traversal_order, format, b_size, b_map);
    std::vector<float> data;
    data.reserve(type.getNumElements());
    for (const auto val : attr.getValues<float>()) data.push_back(val);
    format_converter.DenseToSparse(data.data());
    sparsity =

}

// RegisterReservePlugin returns a function to register a Reserve Plugin to a given registry.
func RegisterReservePlugin(pluginName string, pluginNewFunc runtime.PluginFactory) RegisterPluginFunc {
	return RegisterPluginAsExtensions(pluginName, pluginNewFunc, "Reserve")
}

// RegisterPermitPlugin returns a function to register a Permit Plugin to a given registry.

// RUN: tf-opt %s -tfl-legalize-tf='preserve-assert-op=true' | FileCheck %s --dump-input=fail

func.func @preserve_assert(%arg0: tensor<1xi32>, %arg1: tensor<1xi32>) -> tensor<1xi1> {
  %0 = "tf.LessEqual"(%arg0, %arg1) : (tensor<1xi32>, tensor<1xi32>) -> tensor<1xi1>
  "tf.Assert"(%0, %arg1) {summarize = 3} : (tensor<1xi1>, tensor<1xi32>) -> ()
  func.return %0 : tensor<1xi1>
  // CHECK-LABEL: preserve_assert
  // CHECK: tfl.less_equal
  // CHECK: Assert

  std::vector<std::unique_ptr<ParallelTensor>> per_device_outputs;
  per_device_outputs.reserve(first_op_output_count);
  for (int i = 0; i < first_op_output_count; ++i) {
    std::vector<TensorHandlePtr> components;
    components.reserve(underlying_devices_.size());
    for (int j = 0; j < underlying_devices_.size(); ++j) {