constraints.DecimalMin.message  = {item} muss größer ${inclusive == true ? 'oder gleich ' : 'als '}{value} sein.
constraints.Digits.message      = {item} is numeric value out of bounds (<{integer} digits>.<{fraction} digits> expected).
constraints.Future.message      = {item} muss in der Zukunft liegen.
constraints.Max.message         = {item} muss kleiner oder gleich {value} sein.

## Connection Pool

A primary responsibility for any HTTP client is to efficiently manage network connections. Creating and establishing new connections require a fair amount of overhead and added latency. OkHttp will make every effort to reuse existing connections to avoid this overhead and added latency.

   * unspecified amount of padding; you almost certainly mean to call {@link
   * #newArrayListWithCapacity} (see that method for further advice on usage).
   *
   * <p><b>Note:</b> This method will soon be deprecated. Even in the rare case that you do want
   * some amount of padding, it's best if you choose your desired amount explicitly.
   *

	for argNum := 0; ; argNum++ {
		tokens, tok := in.collectArgument(macro)
		args = append(args, tokens)
		if tok == ')' {
			break
		}
	}
	// Zero-argument macros are tricky.
	if len(macro.args) == 0 && len(args) == 1 && args[0] == nil {
		args = nil
	} else if len(args) != len(macro.args) {
		in.Error("wrong arg count for macro", macro.name)
	}

constraints.DecimalMin.message  = {item} must be greater than ${inclusive == true ? 'or equal to ' : ''}{value}.
constraints.Digits.message      = {item} is numeric value out of bounds (<{integer} digits>.<{fraction} digits> expected).
constraints.Future.message      = {item} must be in the future.
constraints.Max.message         = {item} must be less than or equal to {value}.

	b.ResetTimer()
	b.ReportAllocs()

	// This benchmark models a situation where spinning in the mutex should be
	// profitable. To achieve this we create a goroutine per-proc.
	// These goroutines access considerable amount of local data so that
	// unnecessary rescheduling is penalized by cache misses.
	m := NewDRWMutex(ds, "")
	var acc0, acc1 uint64
	b.RunParallel(func(pb *testing.PB) {
		var data [16 << 10]uint64

	for i := 1; i < len(totalSizes); i++ {
		result = gcd(result, totalSizes[i])
	}
	return result
}

// isValidSetSize - checks whether given count is a valid set size for erasure coding.
var isValidSetSize = func(count uint64) bool {
	return (count >= setSizes[0] && count <= setSizes[len(setSizes)-1])
}

func commonSetDriveCount(divisibleSize uint64, setCounts []uint64) (setSize uint64) {

    @SuppressWarnings("unused") // used by reflection
    List<N> counts;
  }

  public void testWildcardCaptured_typeVariableDeclaresTypeBound_wildcardHasNoExplicitUpperBound()
      throws Exception {
    TypeToken<Counter<?>> type = new TypeToken<Counter<?>>() {};
    TypeToken<?> fieldType =
        type.resolveType(Counter.class.getDeclaredField("counts").getGenericType());

        mean, var = tf.nn.moments(self.kernel, axes=[0, 1, 2], keepdims=True)
        return self.convolution_op(inputs, (self.kernel - mean) / tf.sqrt(var +
        1e-10))` Alternatively, you can override `convolution_op`: `python class
        StandardizedConv2D(tf.keras.Layer): def convolution_op(self, inputs,
        kernel): mean, var = tf.nn.moments(kernel, axes=[0, 1, 2],

     * is to avoid unnecessary stalls in situations like this: A RateLimiter of 1qps, and 4 threads,
     * all calling acquire() at these moments:
     *
     * T0 at 0 seconds
     * T1 at 1.05 seconds
     * T2 at 2 seconds
     * T3 at 3 seconds
     *
     * Due to the slight delay of T1, T2 would have to sleep till 2.05 seconds, and T3 would also