// rel-ro sections using relROMap.
var ReadOnly = []SymKind{
	STYPE,
	SSTRING,
	SGOSTRING,
	SGOFUNC,
	SGCBITS,
	SRODATA,
	SFUNCTAB,
}

// RelROMap describes the transformation of read-only symbols to rel-ro
// symbols.
var RelROMap = map[SymKind]SymKind{
	STYPE:     STYPERELRO,
	SSTRING:   SSTRINGRELRO,
	SGOSTRING: SGOSTRINGRELRO,
	SGOFUNC:   SGOFUNCRELRO,

limitations under the License.
==============================================================================*/

// This header file defines common utils used by TF-Quant transformation
// passes to work with tf.FakeQuant* ops. Copied and modified from
// //third_party/tensorflow/compiler/mlir/lite/utils/fake_quant_utils.h
#ifndef TENSORFLOW_COMPILER_MLIR_QUANTIZATION_TENSORFLOW_UTILS_FAKE_QUANT_UTILS_H_

      RankedTensorType::get(transform_shape, getElementTypeOrSelf(input));
  return builder.create<TF::SpaceToDepthOp>(
      cluster_func.getLoc(), transform_result_type, input, block_size);
}

// Performs transformation for a non-replicated input.
TF::SpaceToDepthOp HandleHostInput(Value input, int64_t index,
                                   tf_device::ClusterFuncOp cluster_func,
                                   int32_t block_size,

    val encryptionAlgorithm: String = options.getInternalString("org.gradle.configuration-cache.internal.encryption-alg", SupportedEncryptionAlgorithm.AES_ECB_PADDING.transformation)

    /**
     * Should be provided if a link to the report is expected even if no errors were found.
     * Useful in testing.
     */

limitations under the License.
==============================================================================*/

// This header file defines common utils used by TFLite transformation
// passes to work with tf.FakeQuant* ops.
#ifndef TENSORFLOW_COMPILER_MLIR_LITE_UTILS_FAKE_QUANT_UTILS_H_
#define TENSORFLOW_COMPILER_MLIR_LITE_UTILS_FAKE_QUANT_UTILS_H_

#include <string>
#include <vector>

// Next ID: 2
message TfSavedModelConfig {
  // Set of tags that uniquely identify the `MetaGraphDef` existing in the
  // input SavedModel.
  repeated string tags = 1;
}

// Configures the graph transformation pipeline for quantization.
message PipelineConfig {
  // When set to True, unpacks ops with uniform quantized types into operations
  // without uniform quantized types (mostly i8 or i32). Useful when the target

      // should be a region capture. If this has any use other than the
      // replicate op (within the body of the while) or the skipped identities,
      // then do not apply the transformation to this variable.
      bool is_region_capture =
          replicate_operand.getParentRegion()->isProperAncestor(&body);
      bool has_other_use_in_body =

    if (IsResourceTensor(operand)) return true;
  }
  for (auto result : op->getResults()) {
    if (IsResourceTensor(result)) return true;
  }
  return false;
}

// This transformation pass takes an operation that has or depends on side
// effects and wraps it in a TFL::ControlNodeOp, which is made to depend on the
// control token generated by the most recent preceding such operation, if

          &q_builder, input_model, quantized_type, use_updated_hybrid_scheme,
          ::tflite::optimize::QuantizerType::OLD_QUANTIZER) != kTfLiteOk) {
    return absl::InvalidArgumentError(
        "Quantize weights transformation failed.");
  }
  const uint8_t* q_buffer = q_builder.GetBufferPointer();
  *result =
      std::string(reinterpret_cast<const char*>(q_buffer), q_builder.GetSize());

  return absl::OkStatus();
}

func (e Event[T]) Latest() T {
	if e.New != nil {
		return *e.New
	}
	return *e.Old
}

// HandlerContext is an opaque type passed into transformation functions.
// This can be used with Fetch to dynamically query for resources.
// Note: this doesn't expose Fetch as a method, as Go generics do not support arbitrary generic types on methods.
type HandlerContext interface {