def "can have multiple test task instances"() {
        given:
        file('src/test/java/org/gradle/Test1.java') << """
            package org.gradle;
            ${testFrameworkImports}
            public class Test1 {
                @Test public void ok() { }
            }
        """.stripIndent()
        file('src/test2/java/org/gradle/Test2.java') << """
            package org.gradle;

#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "tensorflow/core/platform/test.h"

namespace mlir {
namespace quant {
namespace {

using ::testing::NotNull;
using ::testing::SizeIs;

using ConstantFoldingTest = ::mlir::quant::QuantizationTestBase;

TEST_F(ConstantFoldingTest, FoldLargeConstant) {
  constexpr absl::string_view kModuleCode = R"mlir(
    module {

  TF_DeleteFunction(funcs[0]);
}

TEST_F(CApiExperimentalFunctionTest, EmptyGraphRemoveNonExistentFunction) {
  TF_GraphRemoveFunction(func_graph_, "wrong_name", s_);
  EXPECT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s_));
  EXPECT_EQ(string("Tried to remove non-existent function 'wrong_name'."),
            string(TF_Message(s_)));
}

TEST_F(CApiExperimentalFunctionTest, GraphRemoveNonExistentFunction) {

  mlir::OpBuilder builder_;
};

TEST_F(XlaLegalizeTargetsTest, CreatesConversionTargets) {
  auto const_int = builder_.create<mlir::arith::ConstantIntOp>(
      builder_.getUnknownLoc(), /*value=*/10, builder_.getI32Type());

  ConversionTarget target =
      GetDefaultLegalConversionTargets(context_, /*legalize_chlo=*/false);
  EXPECT_TRUE(target.isLegal(const_int));
}

TEST_F(XlaLegalizeTargetsTest, AllowsCHLODialect) {

            }
        }
        """

        when:
        succeeds taskName

        then:
        def archiveFile = archive(file("build/test.${fileExtension}"))
        archiveFile.hasDescendants('test3.txt', 'test4.txt')
        archiveFile.content('test3.txt') == 'test2'
        archiveFile.content('test4.txt') == 'test1'

        where:

  }
  mlir::LogicalResult Run() { return pm_->run(module_.get()); }

 private:
  MLIRContext context_;
  OwningOpRef<ModuleOp> module_;
  std::unique_ptr<mlir::PassManager> pm_;
};

TEST_F(VerifyTfxlaLegalizationTest, RecordsStreamzFailedVerification) {
  // Using a string constant here instead of testdata to make this compatible
  // with open source.
  static constexpr char kMlirModuleStr[] = R"(

  std::unique_ptr<ProcessFunctionLibraryRuntime> pflr_;

  std::unique_ptr<OpKernel> kernel_;
};

AttrValue BoolAttr(bool b) {
  AttrValue v;
  v.set_b(b);
  return v;
}

TEST_F(XlaKernelCreatorTest, OneFloatOneResourceArgument) {
  FunctionDef fdef = XTimesY();
  (*fdef.mutable_attr())["_XlaMustCompile"] = BoolAttr(true);
  Init({fdef});
  XlaKernelCreator xla_kernel_creator;
  auto callsite =

// Copyright 2011 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

// Test the run-time behavior of escape analysis-related optimizations.

package main

func main() {
	test1()
}

func test1() {
	check1(0)
	check1(1)
	check1(2)
}

type T1 struct {
	X, Y, Z int
}

func f() int {
	return 1
}

  std::unique_ptr<StaticDeviceMgr> device_mgr_;
  EagerContextPtr ctx_;
};

// Sanity check that constructing a tensorflow::Variable from a SavedVariable
// 1. does not cause an error
// 2. preserves dtype and shape.
TEST_P(SavedVariableLoadingTest, LoadSavedVariableSuccessful) {
  auto& test_params = GetParam();
  DataType dtype = std::get<0>(test_params);
  TensorShape shape(std::get<1>(test_params));

  SavedVariable saved_variable;

        assertThat(activation.getRequiredInactiveProfileIds(), containsInAnyOrder("test1", "test2"));
        assertThat(activation.getOptionalInactiveProfileIds(), containsInAnyOrder("test3", "test4"));

        activation = new ProfileActivation();
        performProfileActivation(parser.parse(options, new String[] {"-P", "-test1,+test2"}), activation);