private long count;
  private long mark = -1;

  /**
   * Wraps another input stream, counting the number of bytes read.
   *
   * @param in the input stream to be wrapped
   */
  public CountingInputStream(InputStream in) {
    super(checkNotNull(in));
  }

  /** Returns the number of bytes read. */
  public long getCount() {
    return count;
  }

  @Override

    return closeable;
  }

  /**
   * Stores the given throwable and rethrows it. It will be rethrown as is if it is an {@code
   * IOException}, {@code RuntimeException} or {@code Error}. Otherwise, it will be rethrown wrapped
   * in a {@code RuntimeException}. <b>Note:</b> Be sure to declare all of the checked exception
   * types your try block can throw when calling an overload of this method so as to avoid losing
   * the original exception type.

// Wrapper for a tensor output of an operation executing under a tape.
//
// `GetID` returns a unique id for the wrapped tensor which is used to maintain
// a map (`tensorflow::eager::TensorTape`) from the wrapped tensor to the id of
// the op that produced it (or -1 if this tensor was watched using
// `GradientTape::Watch`.) The op_id is simply a unique index assigned to each

  private long count;
  private long mark = -1;

  /**
   * Wraps another input stream, counting the number of bytes read.
   *
   * @param in the input stream to be wrapped
   */
  public CountingInputStream(InputStream in) {
    super(checkNotNull(in));
  }

  /** Returns the number of bytes read. */
  public long getCount() {
    return count;
  }

  @Override

// implementations of certain APIs that are required for calibration.
// `module_op` is the input graph to be quantized and it should contain
// StableHLO ops.
//
// Returns a quantized `ModuleOp` in StableHLO, potentially wrapped inside a
// XlaCallModuleOp. Returns a non-OK status if quantization fails, or any of
// `saved_model_bundle` or `quantization_py_function_lib` is a nullptr.
absl::StatusOr<mlir::ModuleOp> RunQuantization(

			if !errors.Is(tc.input, tc.new()) {
				t.Error("error doesn't match itself directly")
			}
			if !errors.Is(fmt.Errorf("wrapepd: %w", tc.input), tc.new()) {
				t.Error("error doesn't match itself when wrapped")
			}
			if !tc.matcherFunc(tc.input) {
				t.Errorf("error doesn't get matched by matcherfunc")
			}
			if errors.Is(tc.input, errors.New("foo")) {
				t.Error("error incorrectly matches other error")
			}
		})

import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ConcurrentMap;
import javax.annotation.CheckForNull;

/**
 * A builder of {@link ConcurrentMap} instances that can have keys or values automatically wrapped
 * in {@linkplain WeakReference weak} references.
 *
 * <p>Usage example:
 *
 * <pre>{@code
 * ConcurrentMap<Request, Stopwatch> timers = new MapMaker()
 *     .concurrencyLevel(4)
 *     .weakKeys()

	log.Infof("Creating operator metrics exporter available at %s", metricsOptions.BindAddress)
	registry := ctrlmetrics.Registry.(*prometheus.Registry)
	wrapped := prometheus.WrapRegistererWithPrefix("istio_install_operator_", registry)

	if _, err := monitoring.RegisterPrometheusExporter(wrapped, registry); err != nil {
		log.Warnf("Error while building exporter: %v", err)
	}

	log.Info("Registering Components.")

// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer --emit-stablehlo-ops=true %s -o - | flatbuffer_translate --tflite-flatbuffer-to-mlir --disable-vhlo-to-stablehlo=true - -o - | FileCheck %s
// test stablehlo roundtrip

//test TF ops wrapped in stablehlo custom_call

// Identity function to make the exporter happy
func.func @main(%arg0: tensor<4xi8>) -> tensor<4xi8> {
  func.return %arg0 : tensor<4xi8>
}

	return true
}

// Returns the keys of all the wrapped envoyfilters.
func (efw *EnvoyFilterWrapper) Keys() []string {
	if efw == nil {
		return nil
	}
	keys := sets.String{}
	for _, patches := range efw.Patches {
		for _, patch := range patches {
			keys.Insert(patch.Key())
		}
	}
	return sets.SortedList(keys)
}

// Returns the keys of all the wrapped envoyfilters.