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    readCollectionInto({ size -> LinkedHashSet(size) }) {
        readString()
    }


inline fun <T> Encoder.writeCollection(collection: Collection<T>, writeElement: (T) -> Unit) {
    writeSmallInt(collection.size)
    for (element in collection) {
        writeElement(element)
    }
}


inline fun Decoder.readCollection(readElement: () -> Unit) {
    val size = readSmallInt()
    for (i in 0 until size) {

// Returns true if the given `value` is of ranked float tensor type with the
// given `rank`.
inline bool IsOfRankedFloatTensorType(RankedTensorType type, int rank) {
  return type && type.getRank() == rank &&
         mlir::isa<FloatType>(type.getElementType());
}

// Returns true if the given `value` has the specified rank or has unranked
// type.
inline bool IsOfRankOrUnranked(Value value, int64_t rank) {

    throw IllegalStateException()
}


inline fun <reified T> withInstanceOf(o: Any, block: T.() -> Unit) {
    block(assertInstanceOf<T>(o))
}


inline fun <reified T> assertInstanceOf(o: Any): T {
    assertThat(o, instanceOf(T::class.java))
    return o as T
}


inline fun withClassLoaderFor(vararg classPath: File, action: ClassLoader.() -> Unit) =

      return inline.invokeAll(tasks, timeout, unit);
    }

    // Define the invokeAny methods to invoke the first task
    @Override
    public <T> T invokeAny(Collection<? extends Callable<T>> tasks)
        throws ExecutionException, InterruptedException {
      assertTaskWrapped(tasks);
      lastMethodCalled = "invokeAny";
      return inline.submit(Iterables.get(tasks, 0)).get();
    }

	// is part of the top-level function (ii == 0) or if it was
	// produced as a result of an inline (ii != 0).
	//
	// If a variable was not produced by an inline and its containing
	// function was not inlined, then we just assign an ordering of
	// based on variable name.
	//
	// If a variable was not produced by an inline and its containing
	// function was inlined, then we need to assign a child index

// license that can be found in the LICENSE file.

package main

//go:norace
func Foo(x int) int { // ERROR "cannot inline Foo: marked go:norace with -race compilation$"
	return x * (x + 1) * (x + 2)
}

func Bar(x int) int { // ERROR "can inline Bar with cost .* as: func\(int\) int { return x \* \(x \+ 1\) \* \(x \+ 2\) }$"
	return x * (x + 1) * (x + 2)
}

var x = 5

// license that can be found in the LICENSE file.

package main

//go:norace
func Foo(x int) int { // ERROR "can inline Foo with cost .* as: func\(int\) int { return x \* \(x \+ 1\) \* \(x \+ 2\) }$"
	return x * (x + 1) * (x + 2)
}

func Bar(x int) int { // ERROR "can inline Bar with cost .* as: func\(int\) int { return x \* \(x \+ 1\) \* \(x \+ 2\) }$"
	return x * (x + 1) * (x + 2)
}

var x = 5

// for debugging.
inline constexpr absl::string_view kTfQuantPtqPreCalibrationStepName =
    "tf_quant_ptq_pre_calibration";
inline constexpr absl::string_view kTfQuantPtqPostCalibrationStepName =
    "tf_quant_ptq_post_calibration";
inline constexpr absl::string_view kTfQuantQatStepName = "tf_quant_qat";
inline constexpr absl::string_view kTfQuantPtqDynamicRangeStepName =

bool NotTFLQuantDequantizeOp(Operation* op);

// Returns true if it is a shaped type of f32 elements.
inline bool IsF32ShapedType(Type t) {
  if (auto shaped_type = mlir::dyn_cast_or_null<ShapedType>(t)) {
    return shaped_type.getElementType().isF32();
  }
  return false;
}

// Return true when the given element_type is QI8.
inline bool IsQI8Type(Type t) {
  auto quantized_type = quant::QuantizedType::getQuantizedElementType(t);