fun node(node: String) {
            writer.print(indent)
            writer.println(node)
        }

        fun node(node: String, builder: NodeWriter.() -> Unit) {
            writer.print(indent)
            writer.println(node)
            builder(NodeWriter(writer, "$indent    "))
        }
    }
}

/**
 * Defines a top-level architecture module.
 */

platforms/core-configuration/kotlin-dsl-plugins/            @gradle/bt-kotlin-dsl-maintainers
platforms/core-configuration/kotlin-dsl-provider-plugins/   @gradle/bt-kotlin-dsl-maintainers
platforms/core-configuration/kotlin-dsl-tooling-builders/   @gradle/bt-kotlin-dsl-maintainers
platforms/core-configuration/kotlin-dsl-tooling-models/     @gradle/bt-kotlin-dsl-maintainers

# Core automation platform (Declarative DSL)

#include "tensorflow/compiler/mlir/tensorflow/transforms/tf_graph_optimization_pass.h"

#include <utility>

#include "absl/container/flat_hash_set.h"
#include "llvm/Support/CommandLine.h"
#include "mlir/IR/Builders.h"  // from @llvm-project
#include "mlir/IR/Location.h"  // from @llvm-project
#include "mlir/Pass/Pass.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/tensorflow/dialect_registration.h"

#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/STLExtras.h"
#include "llvm/Support/Casting.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/Block.h"  // from @llvm-project
#include "mlir/IR/Builders.h"  // from @llvm-project
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/IR/BuiltinTypes.h"  // from @llvm-project
#include "mlir/IR/Operation.h"  // from @llvm-project

  Value group_assignment = builder.create<ConstOp>(
      block_arg.getLoc(),
      DenseIntElementsAttr::get(
          RankedTensorType::get({1, num_replicas}, builder.getIntegerType(32)),
          group_assignment_val));

  StringAttr reduce_op = builder.getStringAttr("Add");
  StringAttr mode = builder.getStringAttr("CrossReplica");
  return builder.create<XlaAllReduceOp>(block_arg.getLoc(), block_arg.getType(),

        assertIsGradleJar(contentsDir.file("lib/plugins/gradle-kotlin-dsl-provider-plugins-${baseVersion}.jar"))
        assertIsGradleJar(contentsDir.file("lib/plugins/gradle-kotlin-dsl-tooling-builders-${baseVersion}.jar"))

        // Plugins
        assertIsGradleJar(contentsDir.file("lib/plugins/gradle-dependency-management-${baseVersion}.jar"))

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.gradle.declarative.dsl.tooling.builders.r89

import org.gradle.declarative.dsl.tooling.models.DeclarativeSchemaModel
import org.gradle.integtests.tooling.fixture.TargetGradleVersion
import org.gradle.integtests.tooling.fixture.ToolingApiSpecification

	testenv.MustHaveGoRun(t)
	testenv.MustHaveExec(t)

	if testing.Short() {
		t.Skip("skipping in short mode")
	}
	if testenv.Builder() != "" && runtime.GOOS == "windows" {
		t.Skip("#66913: windows network connections are flakey on builders")
	}

	// In order to make Go test caching work as expected, we stat the
	// bogo_config.json file, so that the Go testing hooks know that it is

  );

  let results = (outs
    TF_BoolTensor:$z
  );

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;

  let builders = [
    OpBuilder<(ins "Value":$x, "Value":$y,
      "BoolAttr":$incompatible_shape_error)>
  ];

  let hasVerifier = 1;

  let hasCanonicalizer = 1;
}

    q_params = tflite::CreateQuantizationParameters(
        builder_, builder_.CreateVector<float>(mins),
        builder_.CreateVector<float>(maxs));
  }
  return tflite::CreateTensor(
      builder_, builder_.CreateVector(shape), tflite_element_type,
      /*buffer=*/0, builder_.CreateString(name), q_params,
      /*is_variable=*/false, /*sparsity=*/0, /*shape_signature=*/0,