blob: e0f94c77967573734ed8389257b8d611b97368c6 [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
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# 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
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#
#-------------------------------------------------------------
# Function definition for raSelection in R
raSelection <- function(X, col, op, val) {
# Determine the operators
I = switch(op,
"==" = X[, col] == val,
"!=" = X[, col] != val,
"<" = X[, col] < val,
">" = X[, col] > val,
"<=" = X[, col] <= val,
">=" = X[, col] >= val,
stop("Invalid operator"))
# Select rows based on the condition
Y = X[I, , drop = FALSE]
return(Y)
}
args<-commandArgs(TRUE)
options(digits=22)
library("Matrix")
X = as.matrix(readMM(paste(args[1],"X.mtx",sep="")));
col = as.integer(args[2])
op = args[3]
val = as.numeric(args[4])
result = raSelection(X,col,op,val);
writeMM(as(result,"CsparseMatrix"),paste(args[5],"result",sep=""));