blob: 1d21848b06e29f145cd10283afd0d884f896af17 [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.
#
#-------------------------------------------------------------
args <- commandArgs(TRUE)
# Set options for numeric precision
options(digits=22)
# Load required libraries
library("Matrix")
library("matrixStats")
# Read matrices X, Y from Matrix Market format files
X = as.matrix(readMM(paste(args[1], "X.mtx", sep="")))
Y = as.matrix(readMM(paste(args[1], "Y.mtx", sep="")))
type = as.integer(args[2])
# Perform the operations
if( type == 1 ) {
R = (X-Y*X)
} else if( type == 2 ) {
R = (Y*X-X)
} else if( type == 3 ) {
R = (X+Y*X)
} else if( type == 4 ) {
R = (Y*X+X)
} else if( type == 5 ) {
R = (X*(Y%*%matrix(1,1,ncol(X)))-X) * 1
}
writeMM(as(R, "CsparseMatrix"), paste(args[3], "R", sep=""))