#include "tensorflow/compiler/mlir/lite/stablehlo/transforms/hlo_matchers.h"
#include "tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_hlo_conversions/reduce.h"
#include "tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_hlo_conversions/util.h"
#include "tensorflow/compiler/mlir/lite/stablehlo/transforms/passes.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_dialect.h"

#include "tensorflow/compiler/jit/encapsulate_subgraphs_pass.h"

#include <memory>
#include <utility>

#include "absl/strings/match.h"
#include "absl/strings/str_cat.h"
#include "tensorflow/cc/framework/ops.h"
#include "tensorflow/cc/ops/standard_ops.h"
#include "tensorflow/compiler/jit/encapsulate_util.h"
#include "tensorflow/compiler/jit/extract_outside_compilation_pass.h"

#include "tensorflow/compiler/jit/extract_outside_compilation_pass.h"

#include "absl/container/flat_hash_map.h"
#include "absl/strings/match.h"
#include "absl/strings/str_cat.h"
#include "tensorflow/compiler/jit/encapsulate_subgraphs_pass.h"
#include "tensorflow/compiler/jit/encapsulate_util.h"
#include "tensorflow/compiler/tf2xla/side_effect_util.h"
#include "tensorflow/compiler/tf2xla/tf2xla_util.h"

#include "mlir/Transforms/GreedyPatternRewriteDriver.h"  // from @llvm-project
#include "stablehlo/dialect/StablehloOps.h"  // from @stablehlo
#include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h"
#include "tensorflow/compiler/mlir/quantization/common/attrs_and_constraints.h"
#include "tensorflow/compiler/mlir/quantization/common/uniform_quantized_types.h"

#define DEBUG_TYPE "uniform-quantized-stablehlo-to-tfl"

namespace mlir {
namespace odml {

// the compiler cannot follow.
func escapes(x any) {
	if dummy.b {
		dummy.x = x
	}
}

var dummy struct {
	b bool
	x any
}

// Dummy annotation marking that the content of value x
// escapes (i.e. modeling roughly heap=*x),
// for use in cases where the reflect code is so clever that
// the compiler cannot follow.

from tensorflow.compiler.mlir.quantization.common.python import testing
from tensorflow.compiler.mlir.quantization.stablehlo import quantization_config_pb2 as stablehlo_quant_config_pb2
from tensorflow.compiler.mlir.quantization.tensorflow import quantization_options_pb2 as quant_opts_pb2
from tensorflow.compiler.mlir.quantization.tensorflow.python import quantize_model

are different characters.
</p>
<p>
Implementation restriction: For compatibility with other tools, a
compiler may disallow the NUL character (U+0000) in the source text.
</p>
<p>
Implementation restriction: For compatibility with other tools, a
compiler may ignore a UTF-8-encoded byte order mark
(U+FEFF) if it is the first Unicode code point in the source text.

include "mlir/Interfaces/LoopLikeInterface.td"
include "mlir/Interfaces/SideEffectInterfaces.td"
include "tensorflow/compiler/mlir/lite/ir/tfl_op_interfaces.td"
include "tensorflow/compiler/mlir/lite/ir/tfl_op_enums.td"
include "tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization.td"
include "tensorflow/compiler/mlir/tensorflow/ir/tf_op_base.td"

//===----------------------------------------------------------------------===//

				// Invalid regex with a string constant regex pattern is compile time error
				"self.str.find(')') == ''":       "compile error: program instantiation failed: error parsing regexp: unexpected ): `)`",
				"self.str.findAll(')') == []":    "compile error: program instantiation failed: error parsing regexp: unexpected ): `)`",
				"self.str.findAll(')', 1) == []": "compile error: program instantiation failed: error parsing regexp: unexpected ): `)`",

// easier to write, but generates horrible messages when there is a
// compiler error, as gcc insists on printing out each template
// argument, even if it has the default value (this means Types<int>
// will appear as Types<int, None, None, ..., None> in the compiler
// errors).
//
// Our solution is to combine the best part of the two approaches: a