"get_compatible_with_portable",
)

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    default_visibility = [
        # For TFLite Converter integration.
        "//tensorflow/compiler/mlir/lite:__subpackages__",
        "//tensorflow/compiler/mlir/quantization:__subpackages__",
        "//tensorflow/compiler/mlir/tensorflow_to_stablehlo:__subpackages__",
    ],

#include "mlir/Support/LogicalResult.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/lite/experimental/tac/common/targets.h"
#include "tensorflow/compiler/mlir/lite/experimental/tac/common/utils.h"
#include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h"
#include "tensorflow/compiler/mlir/lite/utils/attribute_utils.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"

//             Flatbuffers. Has backward compatibility with version 3, 3a and
//             3b.

namespace tflite;

// This corresponds to the version.
file_identifier "TFL3";
// File extension of any written files.
file_extension "tflite";

// IMPORTANT: All new members of tables, enums and unions must be added at the
// end to ensure backwards compatibility.

    } catch (UnsupportedOperationException expected) {
    }
  }

  /**
   * Verifies that an Iterator is unmodifiable.
   *
   * <p>This test only works with iterators that iterate over a finite set.
   */
  public static void assertIteratorIsUnmodifiable(Iterator<?> iterator) {
    while (iterator.hasNext()) {
      iterator.next();
      try {
        iterator.remove();

  return TFL::ConstBytesAttr::get(builder->getContext(),
                                  StringRef(content.data(), content.size()));
}

// Fallbacks ops that are not supported by TF Quantization to TFLite Flex ops.
class FallbackToFlexOps
    : public PassWrapper<FallbackToFlexOps, OperationPass<func::FuncOp>> {
 public:
  FallbackToFlexOps() = default;

//tensorflow/python/util:nest_test_main_lib
//tensorflow/lite/experimental/examples/lstm:rnn_cell
//tensorflow/lite/experimental/examples/lstm:rnn_cell.py
//tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test
//tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test.py
//tensorflow/lite/python:interpreter
//tensorflow/lite/python:interpreter_test
//tensorflow/lite/python:interpreter.py

        ":passes",
        "//tensorflow/compiler/mlir/lite/stablehlo:fold_broadcast_pass",
        "//tensorflow/compiler/mlir/lite/stablehlo:fuse_convolution_pass",
        "//tensorflow/compiler/mlir/lite/stablehlo:legalize_tf_xla_call_module_to_stablehlo_pass",
        "//tensorflow/compiler/mlir/lite/stablehlo:rename_entrypoint_to_main",
        "//tensorflow/compiler/mlir/lite/stablehlo:tf_stablehlo",

#include "tensorflow/compiler/mlir/lite/experimental/tac/common/subgraph.h"
#include "tensorflow/compiler/mlir/lite/experimental/tac/common/targets.h"
#include "tensorflow/compiler/mlir/lite/experimental/tac/common/utils.h"
#include "tensorflow/compiler/mlir/lite/experimental/tac/hardwares/target_hardware.h"
#include "tensorflow/compiler/mlir/lite/experimental/tac/transforms/device_transform.h"

  private enum TimeoutsToUse {
    ANY(Timeout.values()),
    PAST(Timeout.MIN, Timeout.MINUS_SMALL, Timeout.ZERO),
    FUTURE(Timeout.SMALL, Timeout.MAX),
    SMALL(Timeout.SMALL),
    FINITE(Timeout.MIN, Timeout.MINUS_SMALL, Timeout.ZERO, Timeout.SMALL),
    INFINITE(Timeout.LARGE, Timeout.MAX);

    final ImmutableList<Timeout> timeouts;

    TimeoutsToUse(Timeout... timeouts) {

							b, exp, f, f, math.Ldexp(float64(b), exp), r)
					}

					checkNonLossyRoundtrip64(t, f)
				}
			}
		}
	}
}

// TestSetFloat64NonFinite checks that SetFloat64 of a non-finite value
// returns nil.
func TestSetFloat64NonFinite(t *testing.T) {
	for _, f := range []float64{math.NaN(), math.Inf(+1), math.Inf(-1)} {
		var r Rat
		if r2 := r.SetFloat64(f); r2 != nil {