| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| |
| A = read($1); |
| c = as.integer($2); |
| mStep = as.logical($3); |
| |
| tmp = matrix(0, rows=nrow(A), cols=1); |
| if( mStep ) |
| parfor( i in seq(nrow(A),1,-7) ) |
| tmp[i,1] = as.scalar(A[i,1]) + c; |
| else |
| parfor( i in nrow(A):1 ) |
| tmp[i,1] = as.scalar(A[i,1]) + c; |
| s = sum(tmp); |
| |
| R = as.matrix(s); |
| write(R, $4); |
