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import sys
import os
import unittest
sys.path.append(sys.path[0] + '/../../')
os.environ['PYTHONPATH'] = sys.path[0] + '/../../'
from pynlpl.formats.timbl import TimblOutput
if sys.version < '3':
from StringIO import StringIO
else:
from io import StringIO
class TimblTest(unittest.TestCase):
def test1_simple(self):
"""Timbl - simple output"""
s = StringIO("a b ? c\nc d ? e\n")
for i, (features, referenceclass, predictedclass, distribution, distance) in enumerate(TimblOutput(s)):
if i == 0:
self.assertEqual(features,['a','b'])
self.assertEqual(referenceclass,'?')
self.assertEqual(predictedclass,'c')
self.assertEqual(distribution,None)
self.assertEqual(distance,None)
elif i == 1:
self.assertEqual(features,['c','d'])
self.assertEqual(referenceclass,'?')
self.assertEqual(predictedclass,'e')
self.assertEqual(distribution,None)
self.assertEqual(distance,None)
def test2_db(self):
"""Timbl - Distribution output"""
s = StringIO("a c ? c { c 1.00000, d 1.00000 }\na b ? c { c 1.00000 }\na d ? c { c 1.00000, e 1.00000 }")
for i, (features, referenceclass, predictedclass, distribution, distance) in enumerate(TimblOutput(s)):
if i == 0:
self.assertEqual(features,['a','c'])
self.assertEqual(referenceclass,'?')
self.assertEqual(predictedclass,'c')
self.assertEqual(distribution['c'], 0.5)
self.assertEqual(distribution['d'], 0.5)
self.assertEqual(distance,None)
elif i == 1:
self.assertEqual(features,['a','b'])
self.assertEqual(referenceclass,'?')
self.assertEqual(predictedclass,'c')
self.assertEqual(distribution['c'], 1)
self.assertEqual(distance,None)
elif i == 2:
self.assertEqual(features,['a','d'])
self.assertEqual(referenceclass,'?')
self.assertEqual(predictedclass,'c')
self.assertEqual(distribution['c'], 0.5)
self.assertEqual(distribution['e'], 0.5)
self.assertEqual(distance,None)
def test3_dbdi(self):
"""Timbl - Distribution + Distance output"""
s = StringIO("a c ? c { c 1.00000, d 1.00000 } 1.0000000000000\na b ? c { c 1.00000 } 0.0000000000000\na d ? c { c 1.00000, e 1.00000 } 1.0000000000000")
for i, (features, referenceclass, predictedclass, distribution, distance) in enumerate(TimblOutput(s)):
if i == 0:
self.assertEqual(features,['a','c'])
self.assertEqual(referenceclass,'?')
self.assertEqual(predictedclass,'c')
self.assertEqual(distribution['c'], 0.5)
self.assertEqual(distribution['d'], 0.5)
self.assertEqual(distance,1.0)
elif i == 1:
self.assertEqual(features,['a','b'])
self.assertEqual(referenceclass,'?')
self.assertEqual(predictedclass,'c')
self.assertEqual(distribution['c'], 1)
self.assertEqual(distance,0.0)
elif i == 2:
self.assertEqual(features,['a','d'])
self.assertEqual(referenceclass,'?')
self.assertEqual(predictedclass,'c')
self.assertEqual(distribution['c'], 0.5)
self.assertEqual(distribution['e'], 0.5)
self.assertEqual(distance,1.0)
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