func TestB(t *testing.T) {
	if BFunc() == 1010101 {
		t.Fatalf("bad!")
	}
}
-- c/c.go --
package c

var G int

func CFunc(x, y int) int {
	G += x
	G -= y
	return x + y
}
-- c/c_test.go --
package c

import "testing"

func TestC(t *testing.T) {
	if CFunc(10, 10) == 1010101 {
		t.Fatalf("bad!")
	}
}
-- d/d.go --
package d

const FortyTwo = 42

import (
	"M/a"
	"M/b"
)

func MFunc() string {
	return "42"
}

func M2Func() int {
	return a.AFunc() + b.BFunc()
}

func init() {
	println("package 'main' init")
}

func main() {
	println(a.AFunc() + b.BFunc())
}
-- main/main_test.go --
package main

import "testing"

func TestMain(t *testing.T) {
	if MFunc() != "42" {
		t.Fatalf("bad!")
	}

}

func init() {
	println("package 'main' init")
}

func main() {
	println(a.AFunc() + b.BFunc())
}
-- main/main_test.go --
package main

import "testing"

func TestMain(t *testing.T) {
	if MFunc() != "42" {
		t.Fatalf("bad!")
	}
	if M2Func() != 0 {
		t.Fatalf("also bad!")
	}
}
-- n/n.go --
package n

type N int
-- onlytest/mumble_test.go --

// Returns true iff the function's symbol is public.
bool IsPublicFuncOp(func::FuncOp func_op) {
  return SymbolTable::getSymbolVisibility(&*func_op) ==
         SymbolTable::Visibility::Public;
}

}  // namespace

func::FuncOp FindMainFuncOp(ModuleOp module_op) {
  if (const auto main_func_op = module_op.lookupSymbol<func::FuncOp>(
          kImportModelDefaultGraphFuncName);

      // CHECK: tf_executor.yield %[[CALL_OUTPUT_1]]
      tf_executor.yield %4 : tensor<?xf32>
    }
    tf_executor.fetch %1#0 : tensor<?xf32>
  }
  func.return %0 : tensor<?xf32>
}

func.func @_func(%arg0: tensor<?xf32>) -> tensor<?xf32> {
  func.return %arg0 : tensor<?xf32>

#define TENSORFLOW_COMPILER_MLIR_QUANTIZATION_COMMON_FUNC_H_

#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project

namespace mlir::quant {

// Returns a public `func::FuncOp` in `module_op` whose name matches either
// `main` or `serving_default`. If `func::FuncOps` with both names exist, the
// function with name "main" takes precedence. Returns null if no such a

    func.return %3 : tensor<?xi32>
  }

  // CHECK-LABEL: func @_func
  // CHECK-NOT: mhlo.is_same_data_across_replicas = true
  func.func @_func(%arg0: tensor<?xi32>, %arg1: tensor<?xi32>) -> tensor<?xi32> {
    %0 = "tf._D"(%arg0, %arg1) : (tensor<?xi32>, tensor<?xi32>) -> tensor<?xi32>
    func.return %0 : tensor<?xi32>
  }

  return %0 : tensor<1x3xf32>
}

// CHECK-LABEL: @_func
func.func private @_func(%arg0: tensor<1x3xf32>) -> (tensor<1x3xf32>) {
  return %arg0 : tensor<1x3xf32>
}
}


// -----
// SPMD: one input and no return
//
// CHECK-LABEL: func.func @serving_default(%arg0: tensor<1x3xf32>) {
// CHECK-NEXT:  "tf.IfrtCall"(%arg0)

			result.combine(arg.analyze(s))
		}
		return result

	case sqlFnCharLength, sqlFnCharacterLength:
		if len(e.SFunc.ArgsList) != 1 {
			return qProp{err: fmt.Errorf("%s needs exactly 2 arguments", string(funcName))}
		}
		for _, arg := range e.SFunc.ArgsList {
			result.combine(arg.analyze(s))
		}
		return result

	case sqlFnLower, sqlFnUpper:
		if len(e.SFunc.ArgsList) != 1 {

// -----

// CHECK-LABEL: func @testNoClusterFuncOpPasses
func.func @testNoClusterFuncOpPasses(%arg0: tensor<4x?x!tf_type.stringref>) -> tensor<4x2x!tf_type.string> {
  %0 = "tf.Identity"(%arg0) : (tensor<4x?x!tf_type.stringref>) -> tensor<4x2x!tf_type.string>
  func.return %0 : tensor<4x2x!tf_type.string>
}

// -----

func.func @_func(%arg0: tensor<i32>) -> tensor<i32> {
  func.return %arg0 : tensor<i32>
}