OwningOpRef<mlir::ModuleOp> mlir_module_;
};

TEST_F(TensorflowDialectToExecutorTest, ConvertsToExecutor) {
  CellReader<int64_t> compilation_status(kCompilationStreamz);

  TF_ASSERT_OK(CreateMlirModule("empty_func.mlir"));

  TF_EXPECT_OK(ExportFromTensorflowDialectToExecutor(*mlir_module_));

  EXPECT_EQ(compilation_status.Delta("success"), 1);
}

TEST_F(TensorflowDialectToExecutorTest, ErrorsWhenCannotConvert) {

				if fname != p.funcs[u.fnfid].fname {
					// New function; emit entry for previous one.
					if err := emitFunc(u); err != nil {
						return err
					}
				}
			}
			tstmts += uint64(u.NxStmts)
			count := p.unitTable[u]
			if count != 0 {
				cstmts += uint64(u.NxStmts)
			}
		}
		if err := emitFunc(extcu{}); err != nil {
			return err
		}
	}
	if _, err := fmt.Fprintf(tabber, "%s\t%s\t%.1f%%\n",

  OwningOpRef<mlir::ModuleOp> mlir_module_;
};

TEST_F(TensorflowDialectToExecutorTest, ConvertsToExecutor) {
  CellReader<int64_t> compilation_status(kExportStreamzName);

  TF_ASSERT_OK(CreateMlirModule("empty_func.mlir"));

  TF_EXPECT_OK(ExportFromTensorflowDialectToExecutor(*mlir_module_));

  EXPECT_EQ(compilation_status.Delta(kExportSuccess), 1);
  EXPECT_EQ(compilation_status.Delta(kExportFailed), 0);
}

	for idx := 0; idx < nFuncs; idx++ {
		b.wrUint32(w, uint32(foff))
		foff += int64(len(b.funcs[idx].encoded))
	}
	return off + (int64(len(b.funcs)) * 4)
}

func (b *CoverageMetaDataBuilder) emitFunc(w io.WriteSeeker, off int64, f funcDesc) (int64, error) {
	ew := len(f.encoded)
	if nw, err := w.Write(f.encoded); err != nil {
		return 0, err
	} else if ew != nw {

  OwningOpRef<mlir::ModuleOp> mlir_module_;

  Env* env_;
  std::string test_dir_;
  std::string test_group_name_;
};

TEST_F(LowerClusterToRuntimeOpsTest, SanityCheck) {
  TF_ASSERT_OK(CreateMlirModule("empty_func.mlir"));

  TF_EXPECT_OK(RunLowerClusterToRuntimeOpsPassPipeline(
      *mlir_module_, DeviceType(DEVICE_TPU_XLA_JIT)));
}

TEST_F(LowerClusterToRuntimeOpsTest, LowersClusterOpsTPU) {

	$ go tool covdata pkglist -i=profiledir
	cov-example/p
	main
	$

3. Report percent statements covered by function:

	$ go tool covdata func -i=profiledir
	cov-example/p/p.go:12:		emptyFn			0.0%
	cov-example/p/p.go:32:		Small			100.0%
	cov-example/p/p.go:47:		Medium			90.9%
	...
	$

4. Convert coverage data to legacy textual format:

	$ go tool covdata textfmt -i=profiledir -o=cov.txt