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 --

#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

//	fmt/format.go:57:	clearflags		100.0%
//	...
//	fmt/scan.go:1046:	doScan			100.0%
//	fmt/scan.go:1075:	advance			96.2%
//	fmt/scan.go:1119:	doScanf			96.8%
//	total:		(statements)			91.9%

func funcOutput(profile, outputFile string) error {
	profiles, err := cover.ParseProfiles(profile)
	if err != nil {
		return err
	}

	dirs, err := findPkgs(profiles)
	if err != nil {
		return err
	}

// 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>

func (c Func) Release() {
	funcsMu.Lock()
	delete(funcs, c.id)
	funcsMu.Unlock()
}

// setEventHandler is defined in the runtime package.
func setEventHandler(fn func() bool)

func init() {
	setEventHandler(handleEvent)
}

// handleEvent retrieves the pending event (window._pendingEvent) and calls the js.Func on it.
// It returns true if an event was handled.

// CHECK-LABEL: func @func_attr
// CHECK-SAME: tf._implements = #tf_type.func<@symbol_a, {attr0 = 1 : i32, attr1 = "random"}>
func.func @func_attr() attributes {tf._implements = #tf_type.func<@symbol_a, {attr0 = 1 : i32, attr1 = "random"}>} {
  func.return
}

// CHECK-LABEL: func @nested_func_attr

			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 {