#!/bin/sh
# -*- coding: utf-8 -*-
# Copyright (C) 2012, 2013, 2014 Laboratoire de Recherche et
# Développement de l'Epita (LRDE).
#
# This file is part of Spot, a model checking library.
#
# Spot is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
#
# Spot is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
# or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public
# License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.

. ./defs
set -e

test -z "$PYTHON" && exit 77

ltl2tgba=../../bin/ltl2tgba

cat >formulas.txt <<EOF
GFa & GFb
GFa -> GFb
EOF

../../bin/ltlcross -F formulas.txt \
  "{ltl2tgba any} $ltl2tgba --lbtt --any %f > %T" \
  "{ltl2tgba det} $ltl2tgba --lbtt --deterministic %f > %T" \
  "{ltl2tgba sma} $ltl2tgba --lbtt --small %f > %T" \
  --csv=output.csv

cat >test.py <<EOF
import sys
try:
  import pandas
except ImportError:
  sys.exit(77)

x = pandas.read_csv("output.csv")
print(x.filter(('formula', 'tool',
                'states', 'transitions')).groupby('tool').describe())
EOF

# will exit 77 if panda is not installed
$PYTHON test.py >out.1

# remove trailing whitespace from pandas' output,
# and limit to 26 lines, because Pandas 0.13 adds
# the size of the dataframe afterwards.
sed 's/[ \t]*$//g;26q' <out.1 > py.out

cat >expected <<EOF
                      states  transitions
tool
ltl2tgba any count  4.000000     4.000000
             mean   2.250000    10.000000
             std    0.957427     5.163978
             min    1.000000     4.000000
             25%    1.750000     7.000000
             50%    2.500000    10.000000
             75%    3.000000    13.000000
             max    3.000000    16.000000
ltl2tgba det count  4.000000     4.000000
             mean   2.250000     9.250000
             std    0.957427     4.573474
             min    1.000000     4.000000
             25%    1.750000     6.250000
             50%    2.500000     9.500000
             75%    3.000000    12.500000
             max    3.000000    14.000000
ltl2tgba sma count  4.000000     4.000000
             mean   2.250000     9.250000
             std    0.957427     4.573474
             min    1.000000     4.000000
             25%    1.750000     6.250000
             50%    2.500000     9.500000
             75%    3.000000    12.500000
             max    3.000000    14.000000
EOF

diff py.out expected
