blob: 5f1659efc13efe08187d74f7bf4e5343ed3e503a [file]
#-------------------------------------------------------------
#
# 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.
#
#-------------------------------------------------------------
genClusters = function(Integer nClust,
Integer nObs,
Integer nCol,
Double sd,
Double sep) return (matrix[double] X) {
print("Hi from utils")
X = sample(nClust, nObs, TRUE)%*%matrix(sep, rows = 1, cols = nCol)
X = X + rand(rows = nObs, cols = nCol, pdf = 'normal')
print(sum(X))
}
allocMatrix = function(Integer rows, Integer cols) return (matrix[double] X) {
X = rand(rows = rows, cols = cols, pdf = 'uniform')
print(sum(X))
}
printRandElements = function(matrix[double] M, Integer numel) {
for (ix in 1:numel) {
r = rand(rows=1,cols=1,min=1,max=nrow(M),pdf="uniform")
row = as.integer(as.scalar(r))
c = rand(rows=1,cols=1,min=1,max=ncol(M),pdf="uniform")
col = as.integer(as.scalar(c))
tmp = M[row,col]
print(as.scalar(tmp))
}
}