blob: 9c23c481922cb0ae9aececc07877def59d08c857 [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.
#
#-------------------------------------------------------------
F = read($1, data_type="frame", format="csv", header=TRUE,
naStrings= ["NA", "null"," ","NaN", "nan", "", "?", "99999"]);
# # get the length
F = F[, 2:ncol(F)]
mask = matrix("1 1 0 0 1 0", rows=1, cols=6) # mask for salaries dataset
F1 = F
idx = sample(nrow(F), 15)
# # swap values
for(i in 1:nrow(idx))
{
r = as.scalar(idx[i])
tmp = F1[r, 1]
F1[r, 1] = F1[r, 2]
F1[r, 2] = tmp
}
q0 = 0.05
q1 = 0.95
[W, mask, qLow, qUp] = fixInvalidLengths(F1, mask, q0, q1)
W1 = fixInvalidLengthsApply(F1, mask, qLow, qUp)
comp = as.matrix(W != F)
out = sum(comp) == 0
comp = as.matrix(F != W1)
out2 = sum(comp) == 0
out = out == out2
write(out, $2)