return absl::InternalError(
          "The quantization method has been set to METHOD_NO_QUANTIZE.");
    }

    // The unit-wise quantization config should override the loser-grained
    // quantization config, such as `enable_two_input_tensors`.
    bool is_unitwise_quantization_enabled = false;
    std::optional<QuantizationMethod> unit_wise_quantization_method =

        .testEquals();
  }

  private interface Loser<E extends Throwable> {
    void lose() throws E;
  }

  public <T extends Loser<AssertionError>> void testMethod_exceptionTypes()
      throws NoSuchMethodException {
    Method failMethod = Loser.class.getMethod("lose");
    Invokable<T, ?> invokable = new TypeToken<T>(getClass()) {}.method(failMethod);

        .testEquals();
  }

  private interface Loser<E extends Throwable> {
    void lose() throws E;
  }

  public <T extends Loser<AssertionError>> void testMethod_exceptionTypes()
      throws NoSuchMethodException {
    Method failMethod = Loser.class.getMethod("lose");
    Invokable<T, ?> invokable = new TypeToken<T>(getClass()) {}.method(failMethod);

 *
 * <pre>{@code
 * Closer closer = Closer.create();
 * try {
 *   InputStream in = closer.register(openInputStream());
 *   OutputStream out = closer.register(openOutputStream());
 *   // do stuff
 * } catch (Throwable e) {
 *   // ensure that any checked exception types other than IOException that could be thrown are
 *   // provided here, e.g. throw closer.rethrow(e, CheckedException.class);

 *
 * <pre>{@code
 * Closer closer = Closer.create();
 * try {
 *   InputStream in = closer.register(openInputStream());
 *   OutputStream out = closer.register(openOutputStream());
 *   // do stuff
 * } catch (Throwable e) {
 *   // ensure that any checked exception types other than IOException that could be thrown are
 *   // provided here, e.g. throw closer.rethrow(e, CheckedException.class);

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

package ssa

// convert to machine-dependent ops.
func lower(f *Func) {
	// repeat rewrites until we find no more rewrites
	applyRewrite(f, f.Config.lowerBlock, f.Config.lowerValue, removeDeadValues)
}

// lateLower applies those rules that need to be run after the general lower rules.
func lateLower(f *Func) {
	// repeat rewrites until we find no more rewrites

// RUN: tf-opt "-tfl-lower-static-tensor-list=allow-tensorlist-pass-through default-to-single-batch=false" -split-input-file %s | FileCheck %s

// -----

func.func @tensorlistReserveConstantUnknownElementShapeDim(%arg0: tensor<i32>, %arg1: tensor<i32>) -> tensor<?x7xf32> {
  %cst = arith.constant dense<[-1, 7]> : tensor<2xi32>
  %0 = "tf.TensorListReserve"(%cst, %arg0) : (tensor<2xi32>, tensor<i32>) -> tensor<!tf_type.variant<tensor<?x7xf32>>>

// RUN: tf-opt "-tfl-lower-static-tensor-list=allow-tensorlist-pass-through default-to-single-batch enable-dynamic-update-slice" -split-input-file %s | FileCheck %s

// -----

// CHECK-LABEL: tensorlistSetItem
func.func @tensorlistSetItem(%arg0: tensor<3x10xf32>, %arg1: tensor<1xi32>, %arg2: tensor<i32>, %arg3: tensor<10xf32>) -> tensor<3x10xf32> {
  %0 = "tf.TensorListFromTensor"(%arg0, %arg1) : (tensor<3x10xf32>, tensor<1xi32>) -> tensor<!tf_type.variant<tensor<10xf32>>>

// RUN: tf-opt "-tfl-lower-static-tensor-list=allow-tensorlist-pass-through default-to-single-batch" -split-input-file %s | FileCheck %s

// -----

// CHECK-LABEL: tensorlistConst
func.func @tensorlistConst(%arg0 : tensor<1xi32>) -> tensor<2x3xi32> {
  // CHECK-DAG: %[[ELEMENT0:.*]] = "tf.Const"() <{value = dense<[0, 1, 2]> : tensor<3xi32>}> : () -> tensor<3xi32>

		}
		keywordMap[h] = tok
	}
}

func lower(ch rune) rune     { return ('a' - 'A') | ch } // returns lower-case ch iff ch is ASCII letter
func isLetter(ch rune) bool  { return 'a' <= lower(ch) && lower(ch) <= 'z' || ch == '_' }
func isDecimal(ch rune) bool { return '0' <= ch && ch <= '9' }
func isHex(ch rune) bool     { return '0' <= ch && ch <= '9' || 'a' <= lower(ch) && lower(ch) <= 'f' }