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

#include <string>
#include <vector>

#include "absl/status/status.h"
#include "absl/strings/match.h"
#include "absl/strings/str_cat.h"
#include "absl/strings/str_split.h"
#include "llvm/Support/CommandLine.h"
#include "llvm/Support/ToolOutputFile.h"

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

#include "tensorflow/compiler/mlir/tf2xla/api/v2/cluster_tf.h"

#include <cstdint>
#include <string>

#include <gtest/gtest.h>
#include "absl/status/status.h"
#include "absl/strings/str_cat.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/IR/DialectRegistry.h"  // from @llvm-project

		sleep $wait_interval
	fi

	((attempt++))
done

status=$(./mc admin group info site1 site-replication-issue-group --json | jq .groupStatus | tr -d '"')

if [[ $status == "enabled" ]]; then
	echo "Success"
else
	echo "Expected status: enabled, actual status: $status"
	exit 1
fi

cleanup

## change working directory

#ifndef TENSORFLOW_COMPILER_MLIR_LITE_UTILS_STRING_UTILS_H_
#define TENSORFLOW_COMPILER_MLIR_LITE_UTILS_STRING_UTILS_H_

#include <stdint.h>

#include <cstddef>
#include <limits>
#include <vector>

#include "absl/status/status.h"

namespace mlir::TFL {

constexpr uint64_t kDefaultMaxLength = std::numeric_limits<int>::max();

class MiniDynamicBuffer {
 public:
  explicit MiniDynamicBuffer(size_t max_length = kDefaultMaxLength)

#include "tensorflow/compiler/mlir/lite/experimental/tac/utils/utils.h"

#include <memory>
#include <string>
#include <utility>
#include <vector>

#include "absl/status/status.h"
#include "absl/status/statusor.h"
#include "absl/strings/str_format.h"
#include "absl/strings/string_view.h"
#include "llvm/Support/MemoryBuffer.h"
#include "llvm/Support/SMLoc.h"
#include "llvm/Support/SourceMgr.h"

#define TENSORFLOW_COMPILER_MLIR_TENSORFLOW_TO_STABLEHLO_PYTHON_PYWRAP_TENSORFLOW_TO_STABLEHLO_LIB_H_

#include <string>
#include <vector>

#include "absl/status/statusor.h"
#include "absl/strings/string_view.h"

namespace mlir::tensorflow_to_stablehlo::pywrap {

// Converts a TensorFlow SavedModel to a StableHLO MLIR module and serializes it
// to bytecode.
//
// Args:

        - name: INSTANCE_IP
          valueFrom:
            fieldRef:
              fieldPath: status.podIP
        - name: SERVICE_ACCOUNT
          valueFrom:
            fieldRef:
              fieldPath: spec.serviceAccountName
        - name: HOST_IP
          valueFrom:
            fieldRef:
              fieldPath: status.hostIP
        - name: ISTIO_CPU_LIMIT
          valueFrom:
            resourceFieldRef:

#include <cstdint>
#include <cstdlib>
#include <memory>
#include <string>
#include <utility>

#include "absl/log/log.h"
#include "absl/memory/memory.h"
#include "absl/status/status.h"
#include "absl/status/statusor.h"
#include "absl/strings/match.h"
#include "absl/strings/string_view.h"
#include "llvm/ADT/DenseMap.h"
#include "llvm/Support/Casting.h"
#include "llvm/Support/FormatVariadic.h"

#include "tensorflow/compiler/mlir/lite/utils/string_utils.h"

#include <cstddef>
#include <cstdint>
#include <cstdlib>
#include <cstring>
#include <vector>

#include "absl/status/status.h"

namespace mlir::TFL {

absl::Status MiniDynamicBuffer::AddString(const char* str, size_t len) {
  // If `data_.size() + len` is greater than `SIZE_MAX` then the left hand side

#include <cstdint>
#include <string>
#include <vector>

#include <gmock/gmock.h>
#include <gtest/gtest.h>
#include "absl/status/status.h"
#include "absl/strings/str_cat.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/IR/DialectRegistry.h"  // from @llvm-project