double z = a.getAndAccumulate(y, Double::sum);
        assertBitEquals(x, z);
        assertBitEquals(x + y, a.get());
      }
    }
  }

  /** getAndAccumulate with max stores max of given value to current, and returns previous value */
  public void testGetAndAccumulateWithMax() {
    for (double x : VALUES) {
      for (double y : VALUES) {
        AtomicDouble a = new AtomicDouble(x);

   * ObjectOutputStream)}.
   */
  static int readCount(ObjectInputStream stream) throws IOException {
    return stream.readInt();
  }

  /**
   * Stores the contents of a map in an output stream, as part of serialization. It does not support
   * concurrent maps whose content may change while the method is running.
   *

     * @since 3.0 (addition of the <code>MavenSession</code> parameter)
     */
    ToolchainPrivate[] getToolchainsForType(String type, MavenSession context) throws MisconfiguredToolchainException;

    /**
     * Stores the toolchain into build context for later use by toolchain-aware plugins.
     *
     * @param toolchain the toolchain to store, must not be {@code null}
     * @param context the Maven session, must not be {@code null}

  public <C extends @Nullable Closeable> C register(@ParametricNullness C closeable) {
    if (closeable != null) {
      stack.addFirst(closeable);
    }

    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

	}
	errInvalidAggregation = errors.New("Invalid aggregation seen")
)

type aggVal struct {
	runningSum             *Value
	runningCount           int64
	runningMax, runningMin *Value

	// Stores if at least one record has been seen
	seen bool
}

func newAggVal(fn FuncName) *aggVal {
	switch fn {
	case aggFnAvg, aggFnSum:
		return &aggVal{runningSum: FromFloat(0)}
	case aggFnMin:

// -----------------------------------------------------------------------------
// Core APIs
// -----------------------------------------------------------------------------

// A TF_ExecutionContext stores knowledge about how to execute an operation.
// E.g. it could know whether we're in eager mode or graph mode, keeps track
// of gradient tapes, etc.
typedef struct TF_ExecutionContext TF_ExecutionContext;

  // partitioned tensor are combined into a single entry.
  const TensorSliceReader::VarToDataTypeMap& GetVariableToDataTypeMap() const;

  // Attempts to look up the tensor named "name" and stores the found result in
  // "out_tensor".
  void GetTensor(const string& name,
                 std::unique_ptr<tensorflow::Tensor>* out_tensor,
                 TF_Status* out_status) const;

 private:

	m.Set(sysCPUNice, cpuNiceVal)
	cpuStealVal := math.Round(ts.Steal/tot*100*100) / 100
	m.Set(sysCPUSteal, cpuStealVal)

	// metrics-resource.go runs a job to collect resource metrics including their Avg values and
	// stores them in resourceMetricsMap. We can use it to get the Avg values of CPU idle and IOWait.
	cpuResourceMetrics, found := resourceMetricsMap[cpuSubsystem]
	if found {

  /**
   * Stores all key-value pairs of {@code multimap} in this multimap, in the order returned by
   * {@code multimap.entries()}.
   *
   * @return {@code true} if the multimap changed
   */
  @CanIgnoreReturnValue
  boolean putAll(Multimap<? extends K, ? extends V> multimap);

  /**

	if kv.Empty() {
		return true
	}
	if strings.EqualFold(kv.Key, ikv.Key) {
		return wildcard.Match(kv.Value, ikv.Value)
	}
	return false
}

// BatchJobNotification stores notification endpoint and token information.
// Used by batch jobs to notify of their status.
type BatchJobNotification struct {
	line, col int
	Endpoint  string `yaml:"endpoint" json:"endpoint"`