+++ /dev/null
-#!/bin/sh
-
-# This program tests the WEIGHT command
-
-TEMPDIR=/tmp/pspp-tst-$$
-TESTFILE=$TEMPDIR/`basename $0`.sps
-
-# ensure that top_builddir are absolute
-if [ -z "$top_builddir" ] ; then top_builddir=. ; fi
-if [ -z "$top_srcdir" ] ; then top_srcdir=. ; fi
-top_builddir=`cd $top_builddir; pwd`
-PSPP=$top_builddir/src/ui/terminal/pspp$EXEEXT
-
-# ensure that top_srcdir is absolute
-top_srcdir=`cd $top_srcdir; pwd`
-
-STAT_CONFIG_PATH=$top_srcdir/config
-export STAT_CONFIG_PATH
-
-LANG=C
-export LANG
-
-
-cleanup()
-{
- if [ x"$PSPP_TEST_NO_CLEANUP" != x ] ; then
- echo "NOT cleaning $TEMPDIR"
- return ;
- fi
- cd /
- rm -rf $TEMPDIR
-}
-
-
-fail()
-{
- echo $activity
- echo FAILED
- cleanup;
- exit 1;
-}
-
-
-no_result()
-{
- echo $activity
- echo NO RESULT;
- cleanup;
- exit 2;
-}
-
-pass()
-{
- cleanup;
- exit 0;
-}
-
-mkdir -p $TEMPDIR
-
-cd $TEMPDIR
-
-activity="create program"
-cat > $TESTFILE << EOF
-SET FORMAT F8.3.
-data list file='$top_srcdir/tests/weighting.data'/AVAR 1-5 BVAR 6-10.
-weight by BVAR.
-
-descriptives AVAR /statistics all /format serial.
-frequencies AVAR /statistics all.
-
-EOF
-if [ $? -ne 0 ] ; then no_result ; fi
-
-
-activity="run program"
-$SUPERVISOR $PSPP -o pspp.csv $TESTFILE
-if [ $? -ne 0 ] ; then no_result ; fi
-
-activity="compare results"
-diff -c $TEMPDIR/pspp.csv - <<EOF
-Table: Reading 1 record from \`$top_srcdir/tests/weighting.data'.
-Variable,Record,Columns,Format
-AVAR,1,1- 5,F5.0
-BVAR,1,6- 10,F5.0
-
-Table: Valid cases = 730; cases with missing value(s) = 0.
-Variable,Valid N,Missing N,Mean,S.E. Mean,Std Dev,Variance,Kurtosis,S.E. Kurt,Skewness,S.E. Skew,Range,Minimum,Maximum,Sum
-AVAR,730,0,31.515,.405,10.937,119.608,2.411,.181,1.345,.090,76.000,18.000,94.000,23006.00
-
-Table: AVAR
-Value Label,Value,Frequency,Percent,Valid Percent,Cum Percent
-,18,1,.137,.137,.137
-,19,7,.959,.959,1.096
-,20,26,3.562,3.562,4.658
-,21,76,10.411,10.411,15.068
-,22,57,7.808,7.808,22.877
-,23,58,7.945,7.945,30.822
-,24,38,5.205,5.205,36.027
-,25,38,5.205,5.205,41.233
-,26,30,4.110,4.110,45.342
-,27,21,2.877,2.877,48.219
-,28,23,3.151,3.151,51.370
-,29,24,3.288,3.288,54.658
-,30,23,3.151,3.151,57.808
-,31,14,1.918,1.918,59.726
-,32,21,2.877,2.877,62.603
-,33,21,2.877,2.877,65.479
-,34,14,1.918,1.918,67.397
-,35,14,1.918,1.918,69.315
-,36,17,2.329,2.329,71.644
-,37,11,1.507,1.507,73.151
-,38,16,2.192,2.192,75.342
-,39,14,1.918,1.918,77.260
-,40,15,2.055,2.055,79.315
-,41,14,1.918,1.918,81.233
-,42,14,1.918,1.918,83.151
-,43,8,1.096,1.096,84.247
-,44,15,2.055,2.055,86.301
-,45,10,1.370,1.370,87.671
-,46,12,1.644,1.644,89.315
-,47,13,1.781,1.781,91.096
-,48,13,1.781,1.781,92.877
-,49,5,.685,.685,93.562
-,50,5,.685,.685,94.247
-,51,3,.411,.411,94.658
-,52,7,.959,.959,95.616
-,53,6,.822,.822,96.438
-,54,2,.274,.274,96.712
-,55,2,.274,.274,96.986
-,56,2,.274,.274,97.260
-,57,3,.411,.411,97.671
-,58,1,.137,.137,97.808
-,59,3,.411,.411,98.219
-,61,1,.137,.137,98.356
-,62,3,.411,.411,98.767
-,63,1,.137,.137,98.904
-,64,1,.137,.137,99.041
-,65,2,.274,.274,99.315
-,70,1,.137,.137,99.452
-,78,1,.137,.137,99.589
-,79,1,.137,.137,99.726
-,80,1,.137,.137,99.863
-,94,1,.137,.137,100.000
-Total,,730,100.0,100.0,
-
-Table: AVAR
-N,Valid,730
-,Missing,0
-Mean,,31.515
-S.E. Mean,,.405
-Mode,,21.000
-Std Dev,,10.937
-Variance,,119.608
-Kurtosis,,2.411
-S.E. Kurt,,.181
-Skewness,,1.345
-S.E. Skew,,.090
-Range,,76.000
-Minimum,,18.000
-Maximum,,94.000
-Sum,,23006.00
-Percentiles,50 (Median),29
-EOF
-if [ $? -ne 0 ] ; then fail ; fi
-
-
-pass;
--- /dev/null
+AT_BANNER([WEIGHT])
+
+AT_SETUP([WEIGHT])
+AT_DATA([weight.txt], [dnl
+ 18 1
+ 19 7
+ 20 26
+ 21 76
+ 22 57
+ 23 58
+ 24 38
+ 25 38
+ 26 30
+ 27 21
+ 28 23
+ 29 24
+ 30 23
+ 31 14
+ 32 21
+ 33 21
+ 34 14
+ 35 14
+ 36 17
+ 37 11
+ 38 16
+ 39 14
+ 40 15
+ 41 14
+ 42 14
+ 43 8
+ 44 15
+ 45 10
+ 46 12
+ 47 13
+ 48 13
+ 49 5
+ 50 5
+ 51 3
+ 52 7
+ 53 6
+ 54 2
+ 55 2
+ 56 2
+ 57 3
+ 58 1
+ 59 3
+ 61 1
+ 62 3
+ 63 1
+ 64 1
+ 65 2
+ 70 1
+ 78 1
+ 79 1
+ 80 1
+ 94 1
+])
+AT_DATA([weight.sps], [dnl
+SET FORMAT F8.3.
+data list file='weight.txt'/AVAR 1-5 BVAR 6-10.
+weight by BVAR.
+
+descriptives AVAR /statistics all /format serial.
+frequencies AVAR /statistics all.
+])
+AT_CHECK([pspp -o pspp.csv weight.sps])
+AT_CHECK([cat pspp.csv], [0], [dnl
+Table: Reading 1 record from `weight.txt'.
+Variable,Record,Columns,Format
+AVAR,1,1- 5,F5.0
+BVAR,1,6- 10,F5.0
+
+Table: Valid cases = 730; cases with missing value(s) = 0.
+Variable,Valid N,Missing N,Mean,S.E. Mean,Std Dev,Variance,Kurtosis,S.E. Kurt,Skewness,S.E. Skew,Range,Minimum,Maximum,Sum
+AVAR,730,0,31.515,.405,10.937,119.608,2.411,.181,1.345,.090,76.000,18.000,94.000,23006.00
+
+Table: AVAR
+Value Label,Value,Frequency,Percent,Valid Percent,Cum Percent
+,18,1,.137,.137,.137
+,19,7,.959,.959,1.096
+,20,26,3.562,3.562,4.658
+,21,76,10.411,10.411,15.068
+,22,57,7.808,7.808,22.877
+,23,58,7.945,7.945,30.822
+,24,38,5.205,5.205,36.027
+,25,38,5.205,5.205,41.233
+,26,30,4.110,4.110,45.342
+,27,21,2.877,2.877,48.219
+,28,23,3.151,3.151,51.370
+,29,24,3.288,3.288,54.658
+,30,23,3.151,3.151,57.808
+,31,14,1.918,1.918,59.726
+,32,21,2.877,2.877,62.603
+,33,21,2.877,2.877,65.479
+,34,14,1.918,1.918,67.397
+,35,14,1.918,1.918,69.315
+,36,17,2.329,2.329,71.644
+,37,11,1.507,1.507,73.151
+,38,16,2.192,2.192,75.342
+,39,14,1.918,1.918,77.260
+,40,15,2.055,2.055,79.315
+,41,14,1.918,1.918,81.233
+,42,14,1.918,1.918,83.151
+,43,8,1.096,1.096,84.247
+,44,15,2.055,2.055,86.301
+,45,10,1.370,1.370,87.671
+,46,12,1.644,1.644,89.315
+,47,13,1.781,1.781,91.096
+,48,13,1.781,1.781,92.877
+,49,5,.685,.685,93.562
+,50,5,.685,.685,94.247
+,51,3,.411,.411,94.658
+,52,7,.959,.959,95.616
+,53,6,.822,.822,96.438
+,54,2,.274,.274,96.712
+,55,2,.274,.274,96.986
+,56,2,.274,.274,97.260
+,57,3,.411,.411,97.671
+,58,1,.137,.137,97.808
+,59,3,.411,.411,98.219
+,61,1,.137,.137,98.356
+,62,3,.411,.411,98.767
+,63,1,.137,.137,98.904
+,64,1,.137,.137,99.041
+,65,2,.274,.274,99.315
+,70,1,.137,.137,99.452
+,78,1,.137,.137,99.589
+,79,1,.137,.137,99.726
+,80,1,.137,.137,99.863
+,94,1,.137,.137,100.000
+Total,,730,100.0,100.0,
+
+Table: AVAR
+N,Valid,730
+,Missing,0
+Mean,,31.515
+S.E. Mean,,.405
+Mode,,21.000
+Std Dev,,10.937
+Variance,,119.608
+Kurtosis,,2.411
+S.E. Kurt,,.181
+Skewness,,1.345
+S.E. Skew,,.090
+Range,,76.000
+Minimum,,18.000
+Maximum,,94.000
+Sum,,23006.00
+Percentiles,50 (Median),29
+])
+AT_CLEANUP