blob: 57e01949b6c5d1987b9fed2afbb0171d6285d428 [file] [log] [blame]
#-------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
#-------------------------------------------------------------
# Builtin function that implements unique operation on vectors
#
# INPUT:
# -------------------------------------------------------
# X input vector
# -------------------------------------------------------
#
# OUTPUT:
# -------------------------------------------------------------------
# R matrix with only unique rows
# -------------------------------------------------------------------
m_unique = function(matrix[double] X)
return (matrix[double] R)
{
R = X
if(nrow(X) > 1) {
# sort-based approach (a generic alternative would be transformencode)
X_sorted = order(target=X, by=1, decreasing=FALSE, index.return=FALSE);
temp = X_sorted[1:nrow(X_sorted)-1,] != X_sorted[2:nrow(X_sorted),];
mask = rbind(matrix(1, 1, 1), temp);
R = removeEmpty(target = X_sorted, margin = "rows", select = mask);
}
}