**Experimental!**

We'd like to capture our architectural decisions about the build tool as [Architectural Decision Records (ADRs)](https://adr.github.io/).
For now we just have this global repository of ADRs.
If we see fit, we can break these out to per-platform ones, or keep a hybrid approach to having global and platform-specific ADSs.

Our aim is to keep the process lightweight and approachable.

      // fall through
      case FLOOR:
        increment = false;
        break;
      case CEILING:
        increment = !isPowerOfTwo(x);
        break;
      case DOWN:
        increment = exponent < 0 & !isPowerOfTwo(x);
        break;
      case UP:
        increment = exponent >= 0 & !isPowerOfTwo(x);
        break;
      case HALF_DOWN:
      case HALF_EVEN:
      case HALF_UP:

							ignore = true
							stopFn(0, nil)
							break
						}
						failure = true
						rebalanceLogIf(ctx, err)
						stopFn(version.Size, err)
						continue
					}

					stopFn(version.Size, nil)
					failure = false
					break
				}
				if ignore {
					continue
				}
				if failure {
					break // break out on first error
				}

                            handlerClass = ClassLoader.getSystemClassLoader().loadClass(className);
                        }
                        handler = (URLStreamHandler) handlerClass.newInstance();
                        break;
                    } catch (final Exception ex) {}
                }
            }
            if (handler == null) {
                for (final String element : JVM_VENDOR_DEFAULT_PKGS) {

            case EXPIRED:
              stats[0]++;
              break;
            case EXPLICIT:
              stats[1]++;
              break;
            case REPLACED:
              stats[2]++;
              break;
            case SIZE:
              stats[3]++;
              break;
            default:

      TFE_OpSetAttrString(op, attr_name, v.data(), v.size());
      break;
    }
    case tensorflow::AttrValue::kI:
      TFE_OpSetAttrInt(op, attr_name, static_cast<int64_t>(default_value.i()));
      break;
    case tensorflow::AttrValue::kF:
      TFE_OpSetAttrFloat(op, attr_name, default_value.f());
      break;
    case tensorflow::AttrValue::kB:

find_maven_basedir() {
(
  basedir=`find_file_argument_basedir "$@"`
  wdir="$basedir"
  while :
  do
    if [ -d "$wdir"/.mvn ] ; then
      basedir=$wdir
      break
    fi
    if [ "$wdir" = '/' ] ; then
      break
    fi
    wdir=`cd "$wdir/.."; pwd`
  done
  echo "$basedir"
)
}

find_file_argument_basedir() {
(
  basedir=`pwd`

  found_file_switch=0

            handleResourceChange(notification);
            break;

        case CLIENT_MOVE:
            handleClientMove(notification);
            break;

        case SHARE_MOVE:
            handleShareMove(notification);
            break;

        case IP_CHANGE:
            handleIPChange(notification);
            break;

        case NODE_UNAVAILABLE:

          k2 ^= (long) toUnsignedInt(bb.get(9)) << 8; // fall through
        case 9:
          k2 ^= (long) toUnsignedInt(bb.get(8)); // fall through
        case 8:
          k1 ^= bb.getLong();
          break;
        case 7:
          k1 ^= (long) toUnsignedInt(bb.get(6)) << 48; // fall through
        case 6:
          k1 ^= (long) toUnsignedInt(bb.get(5)) << 40; // fall through
        case 5:

                    return 'ブ';
                case 'ﾍ':
                    return 'ベ';
                case 'ﾎ':
                    return 'ボ';
                default:
                    break;
                }
            }
        } else if (c2 == 'ﾟ' && "ﾊﾋﾌﾍﾎ".indexOf(c1) >= 0) {
            switch (c1) {
            case 'ﾊ':
                return 'パ';
            case 'ﾋ':