| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| |
| P = 2 |
| s = 25 |
| Y = rand(rows=$1, cols=1, min=1, max=1) |
| for(i in seq(1,1,1)) { |
| n1 = nrow(Y)+0.0 |
| Y = Y[2:n1,] - Y[1:n1-1,] |
| } |
| n = nrow(Y) |
| Z = rand(rows=n, cols=P, min=0, max=0) |
| parfor(i2 in seq(1, P, 1)){ |
| Z[s*i2+1:n,i2] = Y[1:n-s*i2,] |
| } |
| R = as.matrix(nrow(Z)); |
| write(R, $2); |
