#-------------------------------------------------------------
#
# 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)
options(digits=22)
library("Matrix")

# V = matrix( 5, 2, 300)
# U = t(V)

U = matrix( 5, 300, 2)
V = t(U)
# X = rand(rows=300, cols=300, pdf="normal", sparsity=0.2, seed=7)
# X = matrix(1, 300,300)

X = U %*% V
X[1:150,] = matrix(0,150,300);

T1 = rowSums(U^2)%*%matrix(1,1,ncol(V));
T2 = matrix(1,nrow(U),1)%*%t(as.matrix(colSums(V^2)))
D = sqrt(-2 * U %*% V + T1 + T2);

s = sum(rowSums((X != 0) * (X - D))^2)
S = as.matrix(s); 

writeMM(as(S, "CsparseMatrix"), paste(args[2], "S", sep=""));