final double roundToDouble(X x, RoundingMode mode) {
    checkNotNull(x, "x");
    checkNotNull(mode, "mode");
    double roundArbitrarily = roundToDoubleArbitrarily(x);
    if (Double.isInfinite(roundArbitrarily)) {
      switch (mode) {
        case DOWN:
        case HALF_EVEN:
        case HALF_DOWN:
        case HALF_UP:
          return Double.MAX_VALUE * sign(x);
        case FLOOR:

      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.
         * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.

	equality := "="
	switch v := match.GetMatcherTree().GetTreeType().(type) {
	case *matcher.Matcher_MatcherTree_ExactMatchMap:
		m = v.ExactMatchMap.Map
	case *matcher.Matcher_MatcherTree_PrefixMatchMap:
		m = v.PrefixMatchMap.Map
		equality = "^"
	case *matcher.Matcher_MatcherTree_CustomMatch:
		tc := v.CustomMatch.GetTypedConfig()
		switch tc.TypeUrl {
		case IPMatcher:

  }

  public GraphEquivalenceTest(EdgeType edgeType) {
    this.edgeType = edgeType;
    this.graph = createGraph(edgeType);
  }

  private static MutableGraph<Integer> createGraph(EdgeType edgeType) {
    switch (edgeType) {
      case UNDIRECTED:
        return GraphBuilder.undirected().allowsSelfLoops(true).build();
      case DIRECTED:
        return GraphBuilder.directed().allowsSelfLoops(true).build();
    }

  }

  public GraphEquivalenceTest(EdgeType edgeType) {
    this.edgeType = edgeType;
    this.graph = createGraph(edgeType);
  }

  private static MutableGraph<Integer> createGraph(EdgeType edgeType) {
    switch (edgeType) {
      case UNDIRECTED:
        return GraphBuilder.undirected().allowsSelfLoops(true).build();
      case DIRECTED:
        return GraphBuilder.directed().allowsSelfLoops(true).build();
    }

			Op:  tierPut,
			Err: err,
		}
	}

	r, err := w.Get(ctx, probeObject, "", WarmBackendGetOpts{})
	xhttp.DrainBody(r)
	if err != nil {
		if _, ok := err.(BackendDown); ok {
			return err
		}
		switch {
		case isErrBucketNotFound(err):
			return errTierBucketNotFound
		case isErrSignatureDoesNotMatch(err):
			return errTierInvalidCredentials
		default:
			return tierPermErr{
				Op:  tierGet,
				Err: err,

								dest[ref.ForeignKey.DBName] = pv
								if _, ok := dest[rel.Name]; ok {
									dest[rel.Name] = elem.Interface()
								}
							}
						}
					}
				}

				switch db.Statement.ReflectValue.Kind() {
				case reflect.Slice, reflect.Array:
					var (
						rValLen   = db.Statement.ReflectValue.Len()
						objs      = make([]reflect.Value, 0, rValLen)
						fieldType = rel.Field.FieldType

        @Override
        public ModelSource resolveModel(org.apache.maven.model.Dependency dependency)
                throws UnresolvableModelException {
            switch (dependency.getManagementKey()) {
                case BASE1_ID:
                    return new StringModelSource(BASE1);
                case BASE2_ID:
                    return new StringModelSource(BASE2);

	if len(db.Statement.ColumnMapping) > 0 {
		for i, column := range columns {
			v, ok := db.Statement.ColumnMapping[column]
			if ok {
				columns[i] = v
			}
		}
	}

	db.RowsAffected = 0

	switch dest := db.Statement.Dest.(type) {
	case map[string]interface{}, *map[string]interface{}:
		if initialized || rows.Next() {
			columnTypes, _ := rows.ColumnTypes()
			prepareValues(values, db, columnTypes, columns)

	if err != nil {
		err = msgp.WrapError(err)
		return
	}
	for zb0001 > 0 {
		zb0001--
		field, err = dc.ReadMapKeyPtr()
		if err != nil {
			err = msgp.WrapError(err)
			return
		}
		switch msgp.UnsafeString(field) {
		case "ID":
			err = dc.ReadExactBytes((z.ID)[:])
			if err != nil {
				err = msgp.WrapError(err, "ID")
				return
			}
		case "Host":
			z.Host, err = dc.ReadString()