+dnl PSPP - a program for statistical analysis.
+dnl Copyright (C) 2017 Free Software Foundation, Inc.
+dnl
+dnl This program is free software: you can redistribute it and/or modify
+dnl it under the terms of the GNU General Public License as published by
+dnl the Free Software Foundation, either version 3 of the License, or
+dnl (at your option) any later version.
+dnl
+dnl This program is distributed in the hope that it will be useful,
+dnl but WITHOUT ANY WARRANTY; without even the implied warranty of
+dnl MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+dnl GNU General Public License for more details.
+dnl
+dnl You should have received a copy of the GNU General Public License
+dnl along with this program. If not, see <http://www.gnu.org/licenses/>.
+dnl
AT_BANNER([random distributions])
m4_divert_push([PREPARE_TESTS])
[randist_compare () {
- cat > compare.pl <<'EOF'
-use strict;
-use warnings 'all';
+ cat > compare.py <<'EOF'
+#! /usr/bin/python3
-my ($epsilon) = 1;
+import itertools
+import sys
-open (EXPECTED, '<', $ARGV[0]) or die "$ARGV[0]: open: $!\n";
-open (ACTUAL, '<', $ARGV[1]) or die "$ARGV[1]: open: $!\n";
+def count_decimals(s):
+ if '.' not in s:
+ return 0
+ else:
+ return len(s) - s.index('.')
-my ($errors) = 0;
-LINE: for (;;) {
- my $a = <EXPECTED>;
- my $b = <ACTUAL>;
+def to_int(s):
+ return int(s.replace('.', ''))
- last if !defined $a && !defined $b;
- die "$ARGV[0]:$.: unexpected end of file\n" if !defined $a;
- die "$ARGV[1]:$.: unexpected end of file\n" if !defined $b;
+EPSILON = 1
- my (@a) = split (' ', $a);
- my (@b) = split (' ', $b);
- die "$ARGV[1]:$.: contains ". scalar (@b) . " fields but should "
- . "contain " . scalar (@a) . "\n"
- if $#a != $#b;
- foreach my $i (0...$#a) {
- die "$ARGV[1]:$.: unexpected number of decimals\n"
- if count_decimals ($a[$i]) != count_decimals ($b[$i]);
+errors = 0
+line_number = 0
+for a, b in itertools.zip_longest(open(sys.argv[1], 'r'),
+ open(sys.argv[2], 'r')):
+ line_number += 1
+ if not a:
+ sys.stderr.write("%s:%s: unexpected end of file\n"
+ % (sys.argv[2], line_number))
+ sys.exit(1)
+ if not b:
+ sys.stderr.write("%s:%s: unexpected end of file\n"
+ % (sys.argv[1], line_number))
+ sys.exit(1)
- my ($an) = to_int ($a[$i]);
- my ($bn) = to_int ($b[$i]);
- if ($an ne $bn && ($bn < $an - $epsilon || $bn > $an + $epsilon)) {
- $errors++;
- if ($errors > 50) {
- print "$ARGV[1]: Additional differences suppressed.\n";
- last LINE;
- }
- print "$ARGV[1]:$.: Values differ from $ARGV[0]:$.\n";
- print "Expected:\n", $a;
- print "Calculated:\n", $b;
- }
- }
-}
-exit ($errors > 0);
+ af = a.split()
+ bf = b.split()
+ if len(af) != len(bf):
+ sys.stderr.write("%s:%s: contains %s fields but should contain %s\n"
+ % (sys.argv[2], line_number, len(b), len(a)))
+ sys.exit(1)
-sub count_decimals {
- my ($s) = @_;
- return length (substr ($s, index ($s, '.')));
-}
+ for i in range(len(af)):
+ if count_decimals(af[i]) != count_decimals(bf[i]):
+ sys.stderr.write("%s:%s: unexpected number of decimals\n"
+ % (sys.argv[2], line_number))
+ sys.exit(1)
+
+ if af[i] == bf[i]:
+ continue
+
+ an = to_int(af[i])
+ bn = to_int(bf[i])
+ if an != bn and (bn < an - EPSILON or bn > an + EPSILON):
+ errors += 1
+ if errors > 50:
+ print("%s: Additional differences suppressed."
+ % sys.argv[2])
+ break
+ print("%s:%s: Values differ from %s:%s"
+ % (sys.argv[2], line_number,
+ sys.argv[1], line_number))
+ print("Expected:\n%s" % a)
+ print("Calculated:\n%s" % b)
+
+ if errors > 50:
+ break
+sys.exit(1 if errors > 0 else 0)
-sub to_int {
- local ($_) = @_;
- s/\.//;
- return $_;
-}
EOF
+ $PYTHON3 compare.py "$@"
}]
m4_divert_pop([PREPARE_TESTS])
m4_define([RANDIST_CHECK],
[AT_SETUP([random distributions -- $1])
- randist_compare
AT_DATA([$1.in], [$4])
AT_DATA([$1.sps], [dnl
DATA LIST LIST FILE='$1.in' NOTABLE SKIP=1
EXECUTE.
])
AT_CHECK([pspp -O format=csv $1.sps])
- AT_CHECK([$PERL compare.pl $1.in $1.out])
+ AT_CHECK([randist_compare $1.in $1.out])
AT_CLEANUP])
RANDIST_CHECK([beta], [a b], [cdf pdf], [dnl
- P a b x cdf pdf
- .01 .75 .25 .0107 .0100 .7059
- .01 .75 .50 .0047 .0100 1.5975
- .01 .75 1.00 .0022 .0100 3.4812
- .01 .75 1.50 .0014 .0100 5.4014
- .01 .75 2.00 .0010 .0100 7.3328
- .01 .75 2.50 .0008 .0100 9.2691
- .01 .75 3.00 .0007 .0100 11.2077
- .01 1.00 .25 .0394 .0100 .2577
- .01 1.00 .50 .0199 .0100 .5051
- .01 1.00 1.00 .0100 .0100 1.0000
- .01 1.00 1.50 .0067 .0100 1.4950
- .01 1.00 2.00 .0050 .0100 1.9900
- .01 1.00 2.50 .0040 .0100 2.4850
- .01 1.00 3.00 .0033 .0100 2.9800
- .01 1.50 .25 .1343 .0100 .1168
- .01 1.50 .50 .0808 .0100 .1888
- .01 1.50 1.00 .0464 .0100 .3232
- .01 1.50 1.50 .0328 .0100 .4538
- .01 1.50 2.00 .0255 .0100 .5831
- .01 1.50 2.50 .0208 .0100 .7118
- .01 1.50 3.00 .0176 .0100 .8402
- .10 .75 .25 .2094 .1000 .3968
- .10 .75 .50 .0985 .1000 .7845
- .10 .75 1.00 .0464 .1000 1.6158
- .10 .75 1.50 .0302 .1000 2.4656
- .10 .75 2.00 .0223 .1000 3.3210
- .10 .75 2.50 .0177 .1000 4.1787
- .10 .75 3.00 .0146 .1000 5.0376
- .10 1.00 .25 .3439 .1000 .3429
- .10 1.00 .50 .1900 .1000 .5556
- .10 1.00 1.00 .1000 .1000 1.0000
- .10 1.00 1.50 .0678 .1000 1.4482
- .10 1.00 2.00 .0513 .1000 1.8974
- .10 1.00 2.50 .0413 .1000 2.3469
- .10 1.00 3.00 .0345 .1000 2.7965
- .10 1.50 .25 .5280 .1000 .3650
- .10 1.50 .50 .3514 .1000 .4685
- .10 1.50 1.00 .2154 .1000 .6962
- .10 1.50 1.50 .1565 .1000 .9252
- .10 1.50 2.00 .1231 .1000 1.1537
- .10 1.50 2.50 .1015 .1000 1.3821
- .10 1.50 3.00 .0864 .1000 1.6102
- .20 .75 .25 .4559 .2000 .4324
- .20 .75 .50 .2372 .2000 .6847
- .20 .75 1.00 .1170 .2000 1.2825
- .20 .75 1.50 .0770 .2000 1.9025
- .20 .75 2.00 .0573 .2000 2.5285
- .20 .75 2.50 .0456 .2000 3.1569
- .20 .75 3.00 .0379 .2000 3.7865
- .20 1.00 .25 .5904 .2000 .4883
- .20 1.00 .50 .3600 .2000 .6250
- .20 1.00 1.00 .2000 .2000 1.0000
- .20 1.00 1.50 .1382 .2000 1.3925
- .20 1.00 2.00 .1056 .2000 1.7889
- .20 1.00 2.50 .0854 .2000 2.1867
- .20 1.00 3.00 .0717 .2000 2.5853
- .20 1.50 .25 .7324 .2000 .6579
- .20 1.50 .50 .5280 .2000 .6733
- .20 1.50 1.00 .3420 .2000 .8772
- .20 1.50 1.50 .2541 .2000 1.1086
- .20 1.50 2.00 .2024 .2000 1.3456
- .20 1.50 2.50 .1683 .2000 1.5847
- .20 1.50 3.00 .1441 .2000 1.8249
- .30 .75 .25 .6615 .3000 .5624
- .30 .75 .50 .3852 .3000 .6756
- .30 .75 1.00 .2008 .3000 1.1204
- .30 .75 1.50 .1346 .3000 1.6023
- .30 .75 2.00 .1010 .3000 2.0929
- .30 .75 2.50 .0808 .3000 2.5868
- .30 .75 3.00 .0673 .3000 3.0823
- .30 1.00 .25 .7599 .3000 .7289
- .30 1.00 .50 .5100 .3000 .7143
- .30 1.00 1.00 .3000 .3000 1.0000
- .30 1.00 1.50 .2116 .3000 1.3319
- .30 1.00 2.00 .1633 .3000 1.6733
- .30 1.00 2.50 .1330 .3000 2.0184
- .30 1.00 3.00 .1121 .3000 2.3651
- .30 1.50 .25 .8510 .3000 1.1004
- .30 1.50 .50 .6576 .3000 .8823
- .30 1.50 1.00 .4481 .3000 1.0041
- .30 1.50 1.50 .3402 .3000 1.2064
- .30 1.50 2.00 .2743 .3000 1.4253
- .30 1.50 2.50 .2298 .3000 1.6503
- .30 1.50 3.00 .1978 .3000 1.8782
- .40 .75 .25 .8106 .4000 .8261
- .40 .75 .50 .5300 .4000 .7134
- .40 .75 1.00 .2947 .4000 1.0179
- .40 .75 1.50 .2017 .4000 1.3908
- .40 .75 2.00 .1530 .4000 1.7776
- .40 .75 2.50 .1231 .4000 2.1695
- .40 .75 3.00 .1029 .4000 2.5638
- .40 1.00 .25 .8704 .4000 1.1574
- .40 1.00 .50 .6400 .4000 .8333
- .40 1.00 1.00 .4000 .4000 1.0000
- .40 1.00 1.50 .2886 .4000 1.2651
- .40 1.00 2.00 .2254 .4000 1.5492
- .40 1.00 2.50 .1848 .4000 1.8401
- .40 1.00 3.00 .1566 .4000 2.1341
- .40 1.50 .25 .9219 .4000 1.8596
- .40 1.50 .50 .7581 .4000 1.1269
- .40 1.50 1.00 .5429 .4000 1.1052
- .40 1.50 1.50 .4211 .4000 1.2573
- .40 1.50 2.00 .3438 .4000 1.4428
- .40 1.50 2.50 .2904 .4000 1.6405
- .40 1.50 3.00 .2514 .4000 1.8440
- .50 .75 .25 .9067 .5000 1.3662
- .50 .75 .50 .6633 .5000 .7969
- .50 .75 1.00 .3969 .5000 .9449
- .50 .75 1.50 .2786 .5000 1.2197
- .50 .75 2.00 .2139 .5000 1.5170
- .50 .75 2.50 .1734 .5000 1.8224
- .50 .75 3.00 .1458 .5000 2.1314
- .50 1.00 .25 .9375 .5000 2.0000
- .50 1.00 .50 .7500 .5000 1.0000
- .50 1.00 1.00 .5000 .5000 1.0000
- .50 1.00 1.50 .3700 .5000 1.1906
- .50 1.00 2.00 .2929 .5000 1.4142
- .50 1.00 2.50 .2421 .5000 1.6494
- .50 1.00 3.00 .2063 .5000 1.8899
- .50 1.50 .25 .9630 .5000 3.3258
- .50 1.50 .50 .8368 .5000 1.4416
- .50 1.50 1.00 .6300 .5000 1.1906
- .50 1.50 1.50 .5000 .5000 1.2732
- .50 1.50 2.00 .4136 .5000 1.4142
- .50 1.50 2.50 .3525 .5000 1.5755
- .50 1.50 3.00 .3069 .5000 1.7464
- .60 .75 .25 .9613 .6000 2.6072
- .60 .75 .50 .7793 .6000 .9454
- .60 .75 1.00 .5061 .6000 .8892
- .60 .75 1.50 .3662 .6000 1.0676
- .60 .75 2.00 .2856 .6000 1.2826
- .60 .75 2.50 .2337 .6000 1.5099
- .60 .75 3.00 .1976 .6000 1.7426
- .60 1.00 .25 .9744 .6000 3.9063
- .60 1.00 .50 .8400 .6000 1.2500
- .60 1.00 1.00 .6000 .6000 1.0000
- .60 1.00 1.50 .4571 .6000 1.1052
- .60 1.00 2.00 .3675 .6000 1.2649
- .60 1.00 2.50 .3069 .6000 1.4427
- .60 1.00 3.00 .2632 .6000 1.6287
- .60 1.50 .25 .9850 .6000 6.6134
- .60 1.50 .50 .8978 .6000 1.8869
- .60 1.50 1.00 .7114 .6000 1.2651
- .60 1.50 1.50 .5789 .6000 1.2573
- .60 1.50 2.00 .4860 .6000 1.3438
- .60 1.50 2.50 .4182 .6000 1.4617
- .60 1.50 3.00 .3667 .6000 1.5938
- .70 .75 .25 .9877 .7000 6.1137
- .70 .75 .50 .8736 .7000 1.2142
- .70 .75 1.00 .6215 .7000 .8447
- .70 .75 1.50 .4670 .7000 .9214
- .70 .75 2.00 .3714 .7000 1.0570
- .70 .75 2.50 .3075 .7000 1.2110
- .70 .75 3.00 .2622 .7000 1.3731
- .70 1.00 .25 .9919 .7000 9.2593
- .70 1.00 .50 .9100 .7000 1.6667
- .70 1.00 1.00 .7000 .7000 1.0000
- .70 1.00 1.50 .5519 .7000 1.0041
- .70 1.00 2.00 .4523 .7000 1.0954
- .70 1.00 2.50 .3822 .7000 1.2140
- .70 1.00 3.00 .3306 .7000 1.3444
- .70 1.50 .25 .9953 .7000 15.8068
- .70 1.50 .50 .9434 .7000 2.5994
- .70 1.50 1.00 .7884 .7000 1.3319
- .70 1.50 1.50 .6598 .7000 1.2064
- .70 1.50 2.00 .5635 .7000 1.2287
- .70 1.50 2.50 .4905 .7000 1.2972
- .70 1.50 3.00 .4337 .7000 1.3859
- .80 .75 .25 .9976 .8000 20.5520
- .80 .75 .50 .9431 .8000 1.7757
- .80 .75 1.00 .7427 .8000 .8079
- .80 .75 1.50 .5855 .8000 .7679
- .80 .75 2.00 .4781 .8000 .8238
- .80 .75 2.50 .4025 .8000 .9075
- .80 .75 3.00 .3469 .8000 1.0028
- .80 1.00 .25 .9984 .8000 31.2500
- .80 1.00 .50 .9600 .8000 2.5000
- .80 1.00 1.00 .8000 .8000 1.0000
- .80 1.00 1.50 .6580 .8000 .8772
- .80 1.00 2.00 .5528 .8000 .8944
- .80 1.00 2.50 .4747 .8000 .9518
- .80 1.00 3.00 .4152 .8000 1.0260
- .80 1.50 .25 .9991 .8000 53.5108
- .80 1.50 .50 .9751 .8000 3.9855
- .80 1.50 1.00 .8618 .8000 1.3925
- .80 1.50 1.50 .7459 .8000 1.1086
- .80 1.50 2.00 .6508 .8000 1.0564
- .80 1.50 2.50 .5748 .8000 1.0706
- .80 1.50 3.00 .5137 .8000 1.1124
- .90 .75 .25 .9998 .9000 164.2657
- .90 .75 .50 .9857 .9000 3.4998
- .90 .75 1.00 .8689 .9000 .7768
- .90 .75 1.50 .7336 .9000 .5818
- .90 .75 2.00 .6239 .9000 .5555
- .90 .75 2.50 .5392 .9000 .5712
- .90 .75 3.00 .4734 .9000 .6033
- .90 1.00 .25 .9999 .9000 250.0000
- .90 1.00 .50 .9900 .9000 5.0000
- .90 1.00 1.00 .9000 .9000 1.0000
- .90 1.00 1.50 .7846 .9000 .6962
- .90 1.00 2.00 .6838 .9000 .6325
- .90 1.00 2.50 .6019 .9000 .6280
- .90 1.00 3.00 .5358 .9000 .6463
- .90 1.50 .25 .9999 .9000 428.3866
- .90 1.50 .50 .9938 .9000 8.0723
- .90 1.50 1.00 .9322 .9000 1.4482
- .90 1.50 1.50 .8435 .9000 .9252
- .90 1.50 2.00 .7586 .9000 .7883
- .90 1.50 2.50 .6847 .9000 .7461
- .90 1.50 3.00 .6218 .9000 .7400
- .99 .75 .25 1.0000 .9900 164255.717
- .99 .75 .50 .9999 .9900 34.8318
- .99 .75 1.00 .9867 .9900 .7525
- .99 .75 1.50 .9412 .9900 .2568
- .99 .75 2.00 .8779 .9900 .1656
- .99 .75 2.50 .8116 .9900 .1348
- .99 .75 3.00 .7492 .9900 .1220
- .99 1.00 .25 1.0000 .9900 249999.999
- .99 1.00 .50 .9999 .9900 50.0000
- .99 1.00 1.00 .9900 .9900 1.0000
- .99 1.00 1.50 .9536 .9900 .3232
- .99 1.00 2.00 .9000 .9900 .2000
- .99 1.00 2.50 .8415 .9900 .1577
- .99 1.00 3.00 .7846 .9900 .1392
- .99 1.50 .25 1.0000 .9900 428406.592
- .99 1.50 .50 .9999 .9900 81.0536
- .99 1.50 1.00 .9933 .9900 1.4950
- .99 1.50 1.50 .9672 .9900 .4538
- .99 1.50 2.00 .9260 .9900 .2669
- .99 1.50 2.50 .8786 .9900 .2020
- .99 1.50 3.00 .8302 .9900 .1724
+ P a b x cdf pdf
+ .01 .75 .25 .0107 .0100 .7059
+ .01 .75 .50 .0047 .0100 1.5975
+ .01 .75 1.00 .0022 .0100 3.4812
+ .01 .75 1.50 .0014 .0100 5.4014
+ .01 .75 2.00 .0010 .0100 7.3328
+ .01 .75 2.50 .0008 .0100 9.2691
+ .01 .75 3.00 .0007 .0100 11.2077
+ .01 1.00 .25 .0394 .0100 .2577
+ .01 1.00 .50 .0199 .0100 .5051
+ .01 1.00 1.00 .0100 .0100 1.0000
+ .01 1.00 1.50 .0067 .0100 1.4950
+ .01 1.00 2.00 .0050 .0100 1.9900
+ .01 1.00 2.50 .0040 .0100 2.4850
+ .01 1.00 3.00 .0033 .0100 2.9800
+ .01 1.50 .25 .1343 .0100 .1168
+ .01 1.50 .50 .0808 .0100 .1888
+ .01 1.50 1.00 .0464 .0100 .3232
+ .01 1.50 1.50 .0328 .0100 .4538
+ .01 1.50 2.00 .0255 .0100 .5831
+ .01 1.50 2.50 .0208 .0100 .7118
+ .01 1.50 3.00 .0176 .0100 .8402
+ .10 .75 .25 .2094 .1000 .3968
+ .10 .75 .50 .0985 .1000 .7845
+ .10 .75 1.00 .0464 .1000 1.6158
+ .10 .75 1.50 .0302 .1000 2.4656
+ .10 .75 2.00 .0223 .1000 3.3210
+ .10 .75 2.50 .0177 .1000 4.1787
+ .10 .75 3.00 .0146 .1000 5.0376
+ .10 1.00 .25 .3439 .1000 .3429
+ .10 1.00 .50 .1900 .1000 .5556
+ .10 1.00 1.00 .1000 .1000 1.0000
+ .10 1.00 1.50 .0678 .1000 1.4482
+ .10 1.00 2.00 .0513 .1000 1.8974
+ .10 1.00 2.50 .0413 .1000 2.3469
+ .10 1.00 3.00 .0345 .1000 2.7965
+ .10 1.50 .25 .5280 .1000 .3650
+ .10 1.50 .50 .3514 .1000 .4685
+ .10 1.50 1.00 .2154 .1000 .6962
+ .10 1.50 1.50 .1565 .1000 .9252
+ .10 1.50 2.00 .1231 .1000 1.1537
+ .10 1.50 2.50 .1015 .1000 1.3821
+ .10 1.50 3.00 .0864 .1000 1.6102
+ .20 .75 .25 .4559 .2000 .4324
+ .20 .75 .50 .2372 .2000 .6847
+ .20 .75 1.00 .1170 .2000 1.2825
+ .20 .75 1.50 .0770 .2000 1.9025
+ .20 .75 2.00 .0573 .2000 2.5285
+ .20 .75 2.50 .0456 .2000 3.1569
+ .20 .75 3.00 .0379 .2000 3.7865
+ .20 1.00 .25 .5904 .2000 .4883
+ .20 1.00 .50 .3600 .2000 .6250
+ .20 1.00 1.00 .2000 .2000 1.0000
+ .20 1.00 1.50 .1382 .2000 1.3925
+ .20 1.00 2.00 .1056 .2000 1.7889
+ .20 1.00 2.50 .0854 .2000 2.1867
+ .20 1.00 3.00 .0717 .2000 2.5853
+ .20 1.50 .25 .7324 .2000 .6579
+ .20 1.50 .50 .5280 .2000 .6733
+ .20 1.50 1.00 .3420 .2000 .8772
+ .20 1.50 1.50 .2541 .2000 1.1086
+ .20 1.50 2.00 .2024 .2000 1.3456
+ .20 1.50 2.50 .1683 .2000 1.5847
+ .20 1.50 3.00 .1441 .2000 1.8249
+ .30 .75 .25 .6615 .3000 .5624
+ .30 .75 .50 .3852 .3000 .6756
+ .30 .75 1.00 .2008 .3000 1.1204
+ .30 .75 1.50 .1346 .3000 1.6023
+ .30 .75 2.00 .1010 .3000 2.0929
+ .30 .75 2.50 .0808 .3000 2.5868
+ .30 .75 3.00 .0673 .3000 3.0823
+ .30 1.00 .25 .7599 .3000 .7289
+ .30 1.00 .50 .5100 .3000 .7143
+ .30 1.00 1.00 .3000 .3000 1.0000
+ .30 1.00 1.50 .2116 .3000 1.3319
+ .30 1.00 2.00 .1633 .3000 1.6733
+ .30 1.00 2.50 .1330 .3000 2.0184
+ .30 1.00 3.00 .1121 .3000 2.3651
+ .30 1.50 .25 .8510 .3000 1.1004
+ .30 1.50 .50 .6576 .3000 .8823
+ .30 1.50 1.00 .4481 .3000 1.0041
+ .30 1.50 1.50 .3402 .3000 1.2064
+ .30 1.50 2.00 .2743 .3000 1.4253
+ .30 1.50 2.50 .2298 .3000 1.6503
+ .30 1.50 3.00 .1978 .3000 1.8782
+ .40 .75 .25 .8106 .4000 .8261
+ .40 .75 .50 .5300 .4000 .7134
+ .40 .75 1.00 .2947 .4000 1.0179
+ .40 .75 1.50 .2017 .4000 1.3908
+ .40 .75 2.00 .1530 .4000 1.7776
+ .40 .75 2.50 .1231 .4000 2.1695
+ .40 .75 3.00 .1029 .4000 2.5638
+ .40 1.00 .25 .8704 .4000 1.1574
+ .40 1.00 .50 .6400 .4000 .8333
+ .40 1.00 1.00 .4000 .4000 1.0000
+ .40 1.00 1.50 .2886 .4000 1.2651
+ .40 1.00 2.00 .2254 .4000 1.5492
+ .40 1.00 2.50 .1848 .4000 1.8401
+ .40 1.00 3.00 .1566 .4000 2.1341
+ .40 1.50 .25 .9219 .4000 1.8596
+ .40 1.50 .50 .7581 .4000 1.1269
+ .40 1.50 1.00 .5429 .4000 1.1052
+ .40 1.50 1.50 .4211 .4000 1.2573
+ .40 1.50 2.00 .3438 .4000 1.4428
+ .40 1.50 2.50 .2904 .4000 1.6405
+ .40 1.50 3.00 .2514 .4000 1.8440
+ .50 .75 .25 .9067 .5000 1.3662
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])
projects / pspp / blobdiff