pm.addPass(mlir::TF::CreateVerifySuitableForExportPass());
}

tensorflow::Status RecordStatusIfError(absl::Status status) {
  if (status.ok()) {
    return absl::OkStatus();
  }

  tf_dialect_to_executor_dialect_status->GetCell(kExportFailed)->IncrementBy(1);
  VLOG(1) << "Failed to export from TF Dialect to TF Executor Dialect. "
          << status;

  constexpr char bridge_subcomponent[] =

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package p

import (
	"fmt"
)

func f() {
	int status // ERROR syntax error: unexpected name status at end of statement
	fmt.Println(status)

#ifndef TENSORFLOW_COMPILER_MLIR_LITE_EXPERIMENTAL_TAC_UTILS_UTILS_H_
#define TENSORFLOW_COMPILER_MLIR_LITE_EXPERIMENTAL_TAC_UTILS_UTILS_H_

#include <string>

#include "absl/status/status.h"
#include "absl/status/statusor.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/IR/MLIRContext.h"  // from @llvm-project

#define TENSORFLOW_COMPILER_MLIR_QUANTIZATION_STABLEHLO_CC_CALIBRATION_STATISTICS_H_

#include <string>

#include "absl/container/flat_hash_map.h"
#include "absl/status/status.h"
#include "absl/status/statusor.h"
#include "absl/strings/string_view.h"
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/quantization/stablehlo/quantization_config.pb.h"

#include <string>
#include <unordered_set>
#include <vector>

#include "absl/base/nullability.h"
#include "absl/container/flat_hash_map.h"
#include "absl/status/status.h"
#include "absl/status/statusor.h"
#include "absl/strings/string_view.h"
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/IR/MLIRContext.h"  // from @llvm-project

==============================================================================*/

#include "tensorflow/compiler/mlir/tf2xla/internal/utils/test_metadata_config.h"

#include <vector>

#include "absl/status/status.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/IR/BuiltinTypes.h"  // from @llvm-project

#include "tensorflow/compiler/mlir/quantization/stablehlo/python/pywrap_quantization_lib.h"

#include <string>
#include <vector>

#include "absl/container/flat_hash_map.h"
#include "absl/status/status.h"
#include "absl/strings/string_view.h"
#include "tensorflow/compiler/mlir/quantization/stablehlo/cc/config.h"
#include "tensorflow/compiler/mlir/quantization/stablehlo/cc/static_range_ptq.h"

#include "tensorflow/core/platform/status.h"
#include "tensorflow/core/platform/types.h"
#include "tensorflow/lite/toco/model_flags.pb.h"
#include "tensorflow/lite/toco/toco_flags.pb.h"

namespace tensorflow {

// Converts the given Jax model to a TF Lite FlatBuffer
// string according to the given model flags, toco flags and tags. Returns error
// status if it fails to convert the input.

):
    return [{"item_id": "Foo", "owner": current_user.username}]


@app.get("/status/")
async def read_system_status(current_user: Annotated[User, Depends(get_current_user)]):

):
    return [{"item_id": "Foo", "owner": current_user.username}]


@app.get("/status/")
async def read_system_status(current_user: Annotated[User, Depends(get_current_user)]):