def test_parts(self):
"""
Test false negative.
"""
numerator, denominator = segmentation_similarity([2, 3, 6], [5, 6], return_parts=True)
self.assertEqual(Decimal("9"), numerator)
self.assertEqual(Decimal("10"), denominator)
def test_s_datasets_continue(self):
'''
Test S upon two datasets that compares no items.
'''
hypothesis = KAZANTSEVA2012_G5
reference = HEARST_1997_STARGAZER
value = segmentation_similarity(hypothesis, reference)
self.assertEqual(value, {})
def test_parts(self):
'''
Test false negative.
'''
numerator, denominator = segmentation_similarity([2, 3, 6], [5, 6],
return_parts=True)
self.assertEqual(Decimal('9'), numerator)
self.assertEqual(Decimal('10'), denominator)
def test_s_datasets_continue(self):
"""
Test S upon two datasets that compares no items.
"""
hypothesis = KAZANTSEVA2012_G5
reference = HEARST_1997_STARGAZER
value = segmentation_similarity(hypothesis, reference)
self.assertEqual(value, {})
def test_s_datasets_return_parts(self):
"""
Test S upon two datasets and return fnc parts.
"""
hypothesis = HYPOTHESIS_STARGAZER
reference = HEARST_1997_STARGAZER
value = segmentation_similarity(hypothesis, reference, return_parts=True)
self.assertEquals(value["stargazer,h1,1"], (Decimal("17"), 20))
def test_boundary_format_nltk(self):
'''
Test the nltk boundary format.
'''
value = segmentation_similarity(
'0100100000',
'0101000000',
boundary_format=BoundaryFormat.nltk)
self.assertAlmostEqual(Decimal('0.95'), value)
def test_s_datasets(self):
"""
Test S upon two datasets.
"""
hypothesis = HYPOTHESIS_STARGAZER
reference = HEARST_1997_STARGAZER
value = segmentation_similarity(hypothesis, reference)
self.assertAlmostEquals(float(value["stargazer,h1,1"]), 0.85)
self.assertAlmostEquals(float(value["stargazer,h2,1"]), 0.725)
self.assertAlmostEquals(float(value["stargazer,h1,2"]), 0.8)
self.assertAlmostEquals(float(value["stargazer,h2,2"]), 0.7)
def test_s_datasets(self):
'''
Test S upon two datasets.
'''
hypothesis = HYPOTHESIS_STARGAZER
reference = HEARST_1997_STARGAZER
value = segmentation_similarity(hypothesis, reference)
self.assertAlmostEquals(float(value['stargazer,h1,1']), 0.85)
self.assertAlmostEquals(float(value['stargazer,h2,1']), 0.725)
self.assertAlmostEquals(float(value['stargazer,h1,2']), 0.8)
self.assertAlmostEquals(float(value['stargazer,h2,2']), 0.7)
def test_s_datasets_return_parts(self):
'''
Test S upon two datasets and return fnc parts.
'''
hypothesis = HYPOTHESIS_STARGAZER
reference = HEARST_1997_STARGAZER
value = segmentation_similarity(
hypothesis,
reference,
return_parts=True)
self.assertEquals(value['stargazer,h1,1'], (Decimal('17'), 20))
def test_clustered_fps(self):
'''
Test near miss.
'''
value = segmentation_similarity([2, 3, 6], [1, 1, 3, 1, 5])
self.assertEqual(Decimal('0.8'), value)
def test_near_miss(self):
"""
Test near miss.
"""
value = segmentation_similarity([2, 3, 6], [2, 2, 7])
self.assertEqual(Decimal("0.95"), value)
def test_one_minus(self):
'''
Test one minus.
'''
value = segmentation_similarity([2, 3, 6], [2, 2, 7], one_minus=True)
self.assertEqual(Decimal('0.05'), value)
def test_one_minus(self):
"""
Test one minus.
"""
value = segmentation_similarity([2, 3, 6], [2, 2, 7], one_minus=True)
self.assertEqual(Decimal("0.05"), value)
def test_near_miss(self):
'''
Test near miss.
'''
value = segmentation_similarity([2, 3, 6], [2, 2, 7])
self.assertEqual(Decimal('0.95'), value)
def test_fp(self):
'''
Test false negative.
'''
value = segmentation_similarity([2, 3, 6], [2, 3, 3, 3])
self.assertEqual(Decimal('0.9'), value)
def test_boundary_format_nltk(self):
"""
Test the nltk boundary format.
"""
value = segmentation_similarity("0100100000", "0101000000", boundary_format=BoundaryFormat.nltk)
self.assertAlmostEqual(Decimal("0.95"), value)
def test_fp(self):
"""
Test false negative.
"""
value = segmentation_similarity([2, 3, 6], [2, 3, 3, 3])
self.assertEqual(Decimal("0.9"), value)
def test_clustered_fps(self):
"""
Test near miss.
"""
value = segmentation_similarity([2, 3, 6], [1, 1, 3, 1, 5])
self.assertEqual(Decimal("0.8"), value)
