case w.ch <- buf:
		return len(p), nil
	case <-w.ctx.Done():
		return 0, context.Cause(w.ctx)
	}
}

// WriterToChannel will return an io.Writer that writes to the given channel.
// The context both allows returning errors on writes and to ensure that
// this isn't abandoned if the channel is no longer being read from.
func WriterToChannel(ctx context.Context, ch chan<- []byte) io.Writer {

  }

  /**
   * Creates a table that uses the specified backing map and factory. It can generate a table based
   * on arbitrary {@link Map} classes.
   *
   * <p>The {@code factory}-generated and {@code backingMap} classes determine the table iteration
   * order. However, the table's {@code row()} method returns instances of a different class than
   * {@code factory.get()} does.
   *

    if (c == '!' || c == '?' || c == ':' || c == ',') {
      // '!' represents an interior node that represents a REGISTRY entry in the map.
      // '?' represents a leaf node, which represents a REGISTRY entry in map.
      // ':' represents an interior node that represents a private entry in the map
      // ',' represents a leaf node, which represents a private entry in the map.

      checkState(position != startPosition);
      return token;
    }

    char consumeCharacter(CharMatcher matcher) {
      checkState(hasMore());
      char c = previewChar();
      checkState(matcher.matches(c));
      position++;
      return c;
    }

    @CanIgnoreReturnValue
    char consumeCharacter(char c) {
      checkState(hasMore());
      checkState(previewChar() == c);

revolves around the idea of applications deployed as micro services, that scale well. It is not about just retrofitting monolithic applications onto modern container based compute environment. A cloud-native application is portable and resilient by design, and can scale horizontally by simply replicating. Modern orchestration platforms like Kubernetes, DC/OS make replicating and managing containers in huge clusters easier than ever.

While containers provide isolated application execution...

We could do better.

We can declare a `UserBase` model that serves as a base for our other models. And then we can make subclasses of that model that inherit its attributes (type declarations, validation, etc).

All the data conversion, validation, documentation, etc. will still work as normally.

    Preconditions.checkNotNull(buffer);
    /*
     * This code performs one System.nanoTime() more than necessary, and in return, the time to
     * execute Queue#drainTo is not added *on top* of waiting for the timeout (which could make
     * the timeout arbitrarily inaccurate, given a queue that is slow to drain).
     */
    long deadline = System.nanoTime() + unit.toNanos(timeout);
    int added = 0;

proxies/load-balancers), and each MinIO server (if there are more than one) has a unique domain name, this redirection should work automatically with no further configuration. For example, if the MinIO service is being accessed by the browser at the URL `https://minio-node-1.example.org`, the redirect URL will be `https://minio-node-1.example.org/oauth_callback` and all is well.

For deployments with a load-balancer (LB), it is required that the LB is configured to send requests from the same user/client-app...

 * stores information-per-URL will need to either canonicalize manually, or suffer unnecessary
 * redundancy for such URLs.
 *
 * Because they don't attempt canonical form, these classes are surprisingly difficult to use
 * securely. Suppose you're building a webservice that checks that incoming paths are prefixed

# o schema   -- The schema name.
# o user     -- The database user name.
# o password -- The database password.
# o propertiesMap -- The properties that depends on the database.
# o variousMap    -- The various settings about JDBC task.
#
# *The line that starts with '#' means comment-out.
#
map:{
    ; driver   = org.h2.Driver
    ; url      = jdbc:h2:file:../src/test/resources/dummydb/dummydb
    ; schema   =