buf, err := args.MarshalMsg(nil)
	if err != nil {
		return false, err
	}
	body := bytes.NewReader(buf)
	respBody, err := restClient.rest.Call(context.Background(), method,
		url.Values{}, body, body.Size())
	defer xhttp.DrainBody(respBody)

	switch toLockError(err) {
	case nil:
		return true, nil
	case errLockConflict, errLockNotFound:
		return false, nil
	default:
		return false, err
	}
}

        } else {
            visitor.visitType(name);
            if (typeArgs != null) {
                visitor.visitText("<");
                for (int i = 0; i < typeArgs.size(); i++) {
                    if (i > 0) {
                        visitor.visitText(", ");
                    }
                    TypeMetaData typeArg = typeArgs.get(i);

there are limitations to what a Go implementation can do in response to a data race.
An implementation may always react to a data race by reporting the race and terminating the program.
Otherwise, each read of a single-word-sized or sub-word-sized memory location
must observe a value actually written to that location (perhaps by a concurrent executing goroutine)
and not yet overwritten.
These implementation constraints make Go more like Java or JavaScript,

 * limitations under the License.
 */

package com.google.common.math;

import static com.google.common.collect.Iterables.get;
import static com.google.common.collect.Iterables.size;
import static com.google.common.math.MathTesting.ALL_DOUBLE_CANDIDATES;
import static com.google.common.math.MathTesting.ALL_ROUNDING_MODES;
import static com.google.common.math.MathTesting.ALL_SAFE_ROUNDING_MODES;

		Usage:  "set global memory limit per server via GOMEMLIMIT",
		Hidden: true,
		EnvVar: "MINIO_MEMLIMIT",
	},
	cli.IntFlag{
		Name:   "send-buf-size",
		Value:  4 * humanize.MiByte,
		EnvVar: "MINIO_SEND_BUF_SIZE",
		Hidden: true,
	},
	cli.IntFlag{
		Name:   "recv-buf-size",
		Value:  4 * humanize.MiByte,
		EnvVar: "MINIO_RECV_BUF_SIZE",
		Hidden: true,
	},
	cli.StringFlag{
		Name:   "log-dir",

				}
			}

			if !isSameType {
				alterColumn = true
			}
		}
	}

	if !isSameType {
		// check size
		if length, ok := columnType.Length(); length != int64(field.Size) {
			if length > 0 && field.Size > 0 {
				alterColumn = true
			} else {
				// has size in data type and not equal
				// Since the following code is frequently called in the for loop, reg optimization is needed here

	for obj := range objCh {
		if obj.Err != nil {
			log.Fatalf("Listing error: %v", obj.Err)
		}
		fmt.Printf("Key: %s\nSize: %d\nLast Modified: %s\n===\n", obj.Key, obj.Size, obj.LastModified)
	}

        }
    }

    private <T> List<T> map(List<T> resources, Function<T, T> mapper) {
        List<T> newResources = null;
        if (resources != null) {
            for (int i = 0; i < resources.size(); i++) {
                T resource = resources.get(i);
                T newResource = mapper.apply(resource);
                if (newResource != null) {
                    if (newResources == null) {

        }

        if (_specification != null) {
            builder.setFetchSource(_specification.columnList.toArray(new String[_specification.columnList.size()]), null);
        }

        return builder;
    }

    // ===================================================================================

    try {
      Object unused = digest.clone();
      return true;
    } catch (CloneNotSupportedException e) {
      return false;
    }
  }

  @Override
  public int bits() {
    return bytes * Byte.SIZE;
  }

  @Override
  public String toString() {
    return toString;
  }

  private static MessageDigest getMessageDigest(String algorithmName) {
    try {