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548 lines
26 KiB
Python
548 lines
26 KiB
Python
from __future__ import print_function
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from __future__ import unicode_literals
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from __future__ import division
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from builtins import str, bytes, dict, int
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from builtins import map, zip, filter
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from builtins import object, range
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import os
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import sys
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
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import unittest
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import time
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import re
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import random
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from pattern import search
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from pattern.en import Sentence, parse
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#---------------------------------------------------------------------------------------------------
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class TestUtilityFunctions(unittest.TestCase):
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def setUp(self):
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pass
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def test_match(self):
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# Assert search._match() wildcard matching.
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for s, p, b in (
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("rabbit" , "rabbit", True),
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("rabbits", "rabbit*", True),
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("rabbits", "*abbits", True),
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("rabbits", "*abbit*", True),
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("rabbits", "rab*its", True),
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("rabbits", re.compile(r"ra.*?"), True)):
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self.assertEqual(search._match(s, p), b)
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print("pattern.search._match()")
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def test_unique(self):
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self.assertEqual(search.unique([1, 1, 2, 2]), [1, 2])
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def test_find(self):
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self.assertEqual(search.find(lambda v: v > 2, [1, 2, 3, 4, 5]), 3)
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def test_product(self):
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# Assert combinations of list items.
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self.assertEqual(list(search.product([], repeat=2)), []) # No possibilities.
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self.assertEqual(list(search.product([1], repeat=0)), [()]) # One possibility: the empty set.
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self.assertEqual(list(search.product([1, 2, 3], repeat=2)),
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[(1, 1), (1, 2), (1, 3), (2, 1), (2, 2), (2, 3), (3, 1), (3, 2), (3, 3)])
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for n, m in ((1, 9), (2, 81), (3, 729), (4, 6561)):
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v = search.product([1, 2, 3, 4, 5, 6, 7, 8, 9], repeat=n)
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self.assertEqual(len(list(v)), m)
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print("pattern.search.product()")
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def test_variations(self):
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# Assert variations include the original input (the empty list has one variation = itself).
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v = search.variations([])
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self.assertEqual(v, [()])
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# Assert variations = (1,) and ().
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v = search.variations([1], optional=lambda item: item == 1)
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self.assertEqual(v, [(1,), ()])
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# Assert variations = the original input, (2,), (1,) and ().
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v = search.variations([1, 2], optional=lambda item: item in (1, 2))
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self.assertEqual(v, [(1, 2), (2,), (1,), ()])
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# Assert variations are sorted longest-first.
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v = search.variations([1, 2, 3, 4], optional=lambda item: item in (1, 2))
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self.assertEqual(v, [(1, 2, 3, 4), (2, 3, 4), (1, 3, 4), (3, 4)])
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self.assertTrue(len(v[0]) >= len(v[1]) >= len(v[2]), len(v[3]))
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print("pattern.search.variations()")
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def test_odict(self):
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# Assert odict.append() which must be order-preserving.
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v = search.odict()
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v.push(("a", 1))
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v.push(("b", 2))
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v.push(("c", 3))
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v.push(("a", 0))
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v = v.copy()
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self.assertTrue(isinstance(v, dict))
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self.assertEqual(v.keys(), ["a", "c", "b"])
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print("pattern.search.odict()")
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#---------------------------------------------------------------------------------------------------
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class TestTaxonomy(unittest.TestCase):
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def setUp(self):
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pass
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def test_taxonomy(self):
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# Assert Taxonomy search.
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t = search.Taxonomy()
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t.append("King Arthur", type="knight", value=1)
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t.append("Sir Bedevere", type="knight", value=2)
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t.append("Sir Lancelot", type="knight", value=3)
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t.append("Sir Gallahad", type="knight", value=4)
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t.append("Sir Robin", type="knight", value=5)
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t.append("John Cleese", type="Sir Lancelot")
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t.append("John Cleese", type="Basil Fawlty")
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# Matching is case-insensitive, results are lowercase.
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self.assertTrue("John Cleese" in t)
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self.assertTrue("john cleese" in t)
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self.assertEqual(t.classify("King Arthur"), "knight")
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self.assertEqual(t.value("King Arthur"), 1)
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self.assertEqual(t.parents("John Cleese"), ["basil fawlty", "sir lancelot"])
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self.assertEqual(t.parents("John Cleese", recursive=True), [
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"basil fawlty",
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"sir lancelot",
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"knight"])
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self.assertEqual(t.children("knight"), [
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"sir robin",
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"sir gallahad",
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"sir lancelot",
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"sir bedevere",
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"king arthur"])
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self.assertEqual(t.children("knight", recursive=True), [
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"sir robin",
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"sir gallahad",
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"sir lancelot",
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"sir bedevere",
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"king arthur",
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"john cleese"])
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print("pattern.search.Taxonomy")
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def test_classifier(self):
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# Assert taxonomy classifier + keyword arguments.
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c1 = search.Classifier(parents=lambda word, chunk=None: word.endswith("ness") and ["quality"] or [])
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c2 = search.Classifier(parents=lambda word, chunk=None: chunk == "VP" and ["action"] or [])
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t = search.Taxonomy()
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t.classifiers.append(c1)
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t.classifiers.append(c2)
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self.assertEqual(t.classify("fuzziness"), "quality")
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self.assertEqual(t.classify("run", chunk="VP"), "action")
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print("pattern.search.Classifier")
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def test_wordnet_classifier(self):
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# Assert WordNet classifier parents & children.
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c = search.WordNetClassifier()
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t = search.Taxonomy()
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t.classifiers.append(c)
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self.assertEqual(t.classify("cat"), "feline")
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self.assertEqual(t.classify("dog"), "canine")
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self.assertTrue("domestic_cat" in t.children("cat"))
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self.assertTrue("puppy" in t.children("dog"))
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print("pattern.search.WordNetClassifier")
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#---------------------------------------------------------------------------------------------------
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class TestConstraint(unittest.TestCase):
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def setUp(self):
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pass
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def _test_constraint(self, constraint, **kwargs):
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# Assert Constraint property values with given optional parameters.
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self.assertEqual(constraint.words, kwargs.get("words", []))
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self.assertEqual(constraint.tags, kwargs.get("tags", []))
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self.assertEqual(constraint.chunks, kwargs.get("chunks", []))
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self.assertEqual(constraint.roles, kwargs.get("roles", []))
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self.assertEqual(constraint.taxa, kwargs.get("taxa", []))
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self.assertEqual(constraint.optional, kwargs.get("optional", False))
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self.assertEqual(constraint.multiple, kwargs.get("multiple", False))
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self.assertEqual(constraint.first, kwargs.get("first", False))
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self.assertEqual(constraint.exclude, kwargs.get("exclude", None))
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self.assertEqual(constraint.taxonomy, kwargs.get("taxonomy", search.taxonomy))
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def test_fromstring(self):
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# Assert Constraint string syntax.
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for s, kwargs in (
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( "cats", dict( words = ["cats"])),
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( "Cat*", dict( words = ["cat*"])),
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( "\\[cat\\]", dict( words = ["[cat]"])),
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("[black cats]", dict( words = ["black cats"])),
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( "black_cats", dict( words = ["black cats"])),
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("black\\_cats", dict( words = ["black_cats"])),
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( "NNS", dict( tags = ["NNS"])),
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( "NN*|VB*", dict( tags = ["NN*", "VB*"])),
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( "NP", dict(chunks = ["NP"])),
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( "SBJ", dict( roles = ["SBJ"])),
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( "CATS", dict( taxa = ["cats"])),
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( "cats?", dict( words = ["cats"], optional=True)),
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( "(cats)", dict( words = ["cats"], optional=True)),
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( "\\(cats\\)", dict( words = ["(cats)"])),
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( "cats+", dict( words = ["cats"], multiple=True)),
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( "cats\\+", dict( words = ["cats+"])),
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( "cats+dogs", dict( words = ["cats+dogs"])),
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( "(cats+)", dict( words = ["cats"], optional=True, multiple=True)),
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( "(cats)+", dict( words = ["cats"], optional=True, multiple=True)),
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( "cats+?", dict( words = ["cats"], optional=True, multiple=True)),
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( "cats?+", dict( words = ["cats"], optional=True, multiple=True)),
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( "^[fat cat]?", dict( words = ["fat cat"], first=True, optional=True)),
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( "[^fat cat?]", dict( words = ["fat cat"], first=True, optional=True)),
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( "cats\\|dogs", dict( words = ["cats|dogs"])),
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( "cats|dogs", dict( words = ["cats", "dogs"])),
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( "^cat", dict( words = ["cat"], first=True)),
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( "\\^cat", dict( words = ["^cat"])),
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( "(cat*)+", dict( words = ["cat*"], optional=True, multiple=True)),
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( "^black_cat+", dict( words = ["black cat"], multiple=True, first=True)),
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( "black\[cat", dict( words = ["black[cat"])),
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( "black\(cat", dict( words = ["black(cat"])),
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( "black\{cat", dict( words = ["black{cat"])),
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( "black\|cat", dict( words = ["black|cat"])),
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( "black\!cat", dict( words = ["black!cat"])),
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( "black\^cat", dict( words = ["black^cat"])),
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( "black\+cat", dict( words = ["black+cat"])),
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( "black\?cat", dict( words = ["black?cat"])),
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( "cats|NN*", dict( words = ["cats"], tags=["NN*"]))):
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self._test_constraint(search.Constraint.fromstring(s), **kwargs)
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# Assert non-alpha taxonomy items.
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t = search.Taxonomy()
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t.append("0.5", type="0.5")
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t.append("half", type="0.5")
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v = search.Constraint.fromstring("0.5", taxonomy=t)
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# Assert non-alpha words without taxonomy.
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self.assertTrue(v.taxa == ["0.5"])
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v = search.Constraint.fromstring("0.5")
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# Assert exclude Constraint.
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self.assertTrue(v.words == ["0.5"])
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v = search.Constraint.fromstring("\\!cats|!dogs|!fish")
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self.assertTrue(v.words == ["!cats"])
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self.assertTrue(v.exclude.words == ["dogs", "fish"])
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print("pattern.search.Constraint.fromstring")
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print("pattern.search.Constraint.fromstring")
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def test_match(self):
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# Assert Constraint-Word matching.
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R = search.Constraint.fromstring
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S = lambda s: Sentence(parse(s, relations=True, lemmata=True))
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W = lambda s, tag=None, index=0: search.Word(None, s, tag, index)
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for constraint, tests in (
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(R("cat|dog"), [(W("cat"), 1), (W("dog"), 1), (W("fish"), 0)]),
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(R("cat*"), [(W("cats"), 1)]),
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(R("*cat"), [(W("tomcat"), 1)]),
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(R("c*t|d*g"), [(W("cat"), 1), (W("cut"), 1), (W("dog"), 1), (W("dig"), 1)]),
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(R("cats|NN*"), [(W("cats", "NNS"), 1), (W("cats"), 0)]),
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(R("^cat"), [(W("cat", "NN", index=0), 1), (W("cat", "NN", index=1), 0)]),
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(R("*|!cat"), [(W("cat"), 0), (W("dog"), 1), (W("fish"), 1)]),
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(R("my cat"), [(W("cat"), 0)]),
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(R("my cat"), [(S("my cat").words[1], 1)]), # "my cat" is an overspecification of "cat"
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(R("my_cat"), [(S("my cat").words[1], 1)]),
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(R("cat|NP"), [(S("my cat").words[1], 1)]),
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(R("dog|VP"), [(S("my dog").words[1], 0)]),
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(R("cat|SBJ"), [(S("the cat is sleeping").words[1], 1)]),
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(R("dog"), [(S("MY DOGS").words[1], 1)]), # lemma matches
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(R("dog"), [(S("MY DOG").words[1], 1)])): # case-insensitive
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for test, b in tests:
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self.assertEqual(constraint.match(test), bool(b))
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# Assert Constraint-Taxa matching.
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t = search.Taxonomy()
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t.append("Tweety", type="bird")
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t.append("Steven", type="bird")
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v = search.Constraint.fromstring("BIRD", taxonomy=t)
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self.assertTrue(v.match(W("bird")))
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self.assertTrue(v.match(S("tweeties")[0]))
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self.assertTrue(v.match(W("Steven")))
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print("pattern.search.Constraint.match()")
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def test_string(self):
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# Assert Constraint.string.
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v = search.Constraint()
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v.words = ["Steven\\*"]
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v.tags = ["NN*"]
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v.roles = ["SBJ"]
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v.taxa = ["(associate) professor"]
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v.exclude = search.Constraint(["bird"])
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v.multiple = True
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v.first = True
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self.assertEqual(v.string, "^[Steven\\*|NN*|SBJ|\(ASSOCIATE\)_PROFESSOR|!bird]+")
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print("pattern.search.Constraint.string")
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#---------------------------------------------------------------------------------------------------
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class TestPattern(unittest.TestCase):
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def setUp(self):
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pass
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def test_pattern(self):
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# Assert Pattern properties.
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v = search.Pattern([
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search.Constraint("a|an|the"),
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search.Constraint("JJ*"),
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search.Constraint("cat")], search.STRICT)
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self.assertEqual(len(v), 3)
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self.assertEqual(v.strict, True)
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print("pattern.search.Pattern")
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def test_fromstring(self):
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# Assert Pattern string syntax.
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v = search.Pattern.fromstring("a|an|the JJ*? cat*")
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self.assertEqual(v[0].words, ["a", "an", "the"])
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self.assertEqual(v[1].tags, ["JJ*"])
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self.assertEqual(v[1].optional, True)
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self.assertEqual(v[2].words, ["cat*"])
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# Assert escaped control characters.
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v = search.Pattern.fromstring("[\\[Figure 1\\]] VP")
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self.assertEqual(v[0].words, ["[figure 1]"])
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self.assertEqual(v[1].chunks, ["VP"])
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# Assert messy syntax (fix brackets and whitespace, don't fix empty options).
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v = search.Pattern.fromstring("[avoid][|!|messy |syntax |]")
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self.assertEqual(v[0].words, ["avoid"])
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self.assertEqual(v[1].words, ["", "messy", "syntax", ""])
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self.assertEqual(v[1].exclude.words, [""]) # "!" = exclude everything
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print("pattern.search.Pattern.fromstring()")
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def test_match(self):
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# Assert Pattern.match()
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P = search.Pattern.fromstring
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X = search.STRICT
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S = lambda s: Sentence(parse(s, relations=True, lemmata=True))
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for i, (pattern, test, match) in enumerate((
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(P("^rabbit"), "white rabbit", None), # 0
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(P("^rabbit"), "rabbit", "rabbit"), # 1
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(P("rabbit"), "big white rabbit", "rabbit"), # 2
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(P("rabbit*"), "big white rabbits", "rabbits"), # 3
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(P("JJ|NN"), S("big white rabbits"), "big"), # 4
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(P("JJ+"), S("big white rabbits"), "big white"), # 5
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(P("JJ+ NN*"), S("big white rabbits"), "big white rabbits"), # 6
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(P("JJ black|white NN*"), S("big white rabbits"), "big white rabbits"), # 7
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(P("NP"), S("big white rabbit"), "big white rabbit"), # 8
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(P("big? rabbit", X), S("big white rabbit"), "rabbit"), # 9 strict
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(P("big? rabbit|NN"), S("big white rabbit"), "rabbit"), # 10 explicit
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(P("big? rabbit"), S("big white rabbit"), "big white rabbit"), # 11 greedy
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(P("rabbit VP JJ"), S("the rabbit was huge"), "the rabbit was huge"), # 12
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(P("rabbit be JJ"), S("the rabbit was huge"), "the rabbit was huge"), # 13 lemma
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(P("rabbit be JJ", X), S("the rabbit was huge"), "rabbit was huge"), # 14
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(P("rabbit is JJ"), S("the rabbit was huge"), None), # 15
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(P("the NP"), S("the rabid rodents"), "the rabid rodents"), # 16 overlap
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(P("t*|r*+"), S("the rabid rodents"), "the rabid rodents"), # 17
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(P("(DT) JJ? NN*"), S("the rabid rodents"), "the rabid rodents"), # 18
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(P("(DT) JJ? NN*"), S("the rabbit"), "the rabbit"), # 19
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(P("rabbit"), S("the big rabbit"), "the big rabbit"), # 20 greedy
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(P("eat carrot"), S("is eating a carrot"), "is eating a carrot"), # 21
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(P("eat carrot|NP"), S("is eating a carrot"), "is eating a carrot"), # 22
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(P("eat NP"), S("is eating a carrot"), "is eating a carrot"), # 23
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(P("eat a"), S("is eating a carrot"), "is eating a"), # 24
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(P("!NP carrot"), S("is eating a carrot"), "is eating a carrot"), # 25
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(P("eat !pizza"), S("is eating a carrot"), "is eating a carrot"), # 26
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(P("eating a"), S("is eating a carrot"), "is eating a"), # 27
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(P("eating !carrot", X), S("is eating a carrot"), "eating a"), # 28
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(P("eat !carrot"), S("is eating a carrot"), None), # 28 NP chunk is a carrot
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(P("eat !DT"), S("is eating a carrot"), None), # 30 eat followed by DT
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(P("eat !NN"), S("is eating a carrot"), "is eating a"), # 31 a/DT is not NN
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(P("!be carrot"), S("is eating a carrot"), "is eating a carrot"), # 32 is eating == eat != is
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(P("!eat|VP carrot"), S("is eating a carrot"), None), # 33 VP chunk == eat
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(P("white_rabbit"), S("big white rabbit"), None), # 34
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(P("[white rabbit]"), S("big white rabbit"), None), # 35
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(P("[* white rabbit]"), S("big white rabbit"), "big white rabbit"), # 36
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(P("[big * rabbit]"), S("big white rabbit"), "big white rabbit"), # 37
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(P("big [big * rabbit]"), S("big white rabbit"), "big white rabbit"), # 38
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(P("[*+ rabbit]"), S("big white rabbit"), None), # 39 bad pattern: "+" is literal
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)):
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m = pattern.match(test)
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self.assertTrue(getattr(m, "string", None) == match)
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# Assert chunk with head at the front.
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s = S("Felix the cat")
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self.assertEqual(P("felix").match(s).string, "Felix the cat")
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# Assert negation + custom greedy() function.
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s = S("the big white rabbit")
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g = lambda chunk, constraint: len([w for w in chunk if not constraint.match(w)]) == 0
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self.assertEqual(P("!white").match(s).string, "the big white rabbit") # a rabbit != white
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self.assertEqual(P("!white", greedy=g).match(s), None) # a white rabbit == white
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# Assert taxonomy items with spaces.
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s = S("Bugs Bunny is a giant talking rabbit.")
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t = search.Taxonomy()
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t.append("rabbit", type="rodent")
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t.append("Bugs Bunny", type="rabbit")
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self.assertEqual(P("RABBIT", taxonomy=t).match(s).string, "Bugs Bunny")
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# Assert None, the syntax cannot handle taxonomy items that span multiple chunks.
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s = S("Elmer Fudd fires a cannon")
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t = search.Taxonomy()
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t.append("fire cannon", type="violence")
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self.assertEqual(P("VIOLENCE").match(s), None)
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# Assert regular expressions.
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s = S("a sack with 3.5 rabbits")
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p = search.Pattern.fromstring("[] NNS")
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p[0].words.append(re.compile(r"[0-9|\.]+"))
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self.assertEqual(p.match(s).string, "3.5 rabbits")
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print("pattern.search.Pattern.match()")
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def test_search(self):
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# Assert one match containing all words.
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v = search.Pattern.fromstring("*+")
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v = v.search("one two three")
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self.assertEqual(v[0].string, "one two three")
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# Assert one match for each word.
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v = search.Pattern.fromstring("*")
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v = v.search("one two three")
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|
self.assertEqual(v[0].string, "one")
|
|
self.assertEqual(v[1].string, "two")
|
|
self.assertEqual(v[2].string, "three")
|
|
# Assert all variations are matched (sentence starts with a NN* which must be caught).
|
|
v = search.Pattern.fromstring("(DT) JJ?+ NN*")
|
|
v = v.search(Sentence(parse("dogs, black cats and a big white rabbit")))
|
|
self.assertEqual(v[0].string, "dogs")
|
|
self.assertEqual(v[1].string, "black cats")
|
|
self.assertEqual(v[2].string, "a big white rabbit")
|
|
v = search.Pattern.fromstring("NN*")
|
|
print("pattern.search.Pattern.search()")
|
|
|
|
def test_convergence(self):
|
|
# Test with random sentences and random patterns to see if it crashes.
|
|
w = ("big", "white", "rabbit", "black", "cats", "is", "was", "going", "to", "sleep", "sleepy", "very", "or")
|
|
x = ("DT?", "JJ?+", "NN*", "VP?", "cat", "[*]")
|
|
for i in range(100):
|
|
s = " ".join(random.choice(w) for i in range(20))
|
|
s = Sentence(parse(s, lemmata=True))
|
|
p = " ".join(random.choice(x) for i in range(5))
|
|
p = search.Pattern.fromstring(p)
|
|
p.search(s)
|
|
|
|
def test_compile_function(self):
|
|
# Assert creating and caching Pattern with compile().
|
|
t = search.Taxonomy()
|
|
p = search.compile("JJ?+ NN*", search.STRICT, taxonomy=t)
|
|
self.assertEqual(p.strict, True)
|
|
self.assertEqual(p[0].optional, True)
|
|
self.assertEqual(p[0].tags, ["JJ"])
|
|
self.assertEqual(p[1].tags, ["NN*"])
|
|
self.assertEqual(p[1].taxonomy, t)
|
|
# Assert regular expression input.
|
|
p = search.compile(re.compile(r"[0-9|\.]+"))
|
|
self.assertTrue(isinstance(p[0].words[0], search.regexp))
|
|
# Assert TypeError for other input.
|
|
self.assertRaises(TypeError, search.compile, 1)
|
|
print("pattern.search.compile()")
|
|
|
|
def test_match_function(self):
|
|
# Assert match() function.
|
|
s = Sentence(parse("Go on Bors, chop his head off!"))
|
|
m1 = search.match("chop NP off", s, strict=False)
|
|
m2 = search.match("chop NP+ off", s, strict=True)
|
|
self.assertEqual(m1.constituents()[1].string, "his head")
|
|
self.assertEqual(m2.constituents()[1].string, "his head")
|
|
print("pattern.search.match()")
|
|
|
|
def test_search_function(self):
|
|
# Assert search() function.
|
|
s = Sentence(parse("Go on Bors, chop his head off!"))
|
|
m = search.search("PRP*? NN*", s)
|
|
self.assertEqual(m[0].string, "Bors")
|
|
self.assertEqual(m[1].string, "his head")
|
|
print("pattern.search.search()")
|
|
|
|
def test_escape(self):
|
|
# Assert escape() function.
|
|
self.assertEqual(search.escape("{}[]()_|!*+^."), "\\{\\}\\[\\]\\(\\)\\_\\|\\!\\*\\+\\^.")
|
|
print("pattern.search.escape()")
|
|
|
|
#---------------------------------------------------------------------------------------------------
|
|
|
|
|
|
class TestMatch(unittest.TestCase):
|
|
|
|
def setUp(self):
|
|
pass
|
|
|
|
def test_match(self):
|
|
# Assert Match properties.
|
|
s = Sentence(parse("Death awaits you all with nasty, big, pointy teeth."))
|
|
p = search.Pattern(sequence=[
|
|
search.Constraint(tags=["JJ"], optional=True),
|
|
search.Constraint(tags=["NN*"])])
|
|
m = p.search(s)
|
|
self.assertTrue(isinstance(m, list))
|
|
self.assertEqual(m[0].pattern, p)
|
|
self.assertEqual(m[1].pattern, p)
|
|
self.assertEqual(m[0].words, [s.words[0]])
|
|
self.assertEqual(m[1].words, [s.words[-3], s.words[-2]])
|
|
# Assert contraint "NN*" links to "Death" and "teeth", and "JJ" to "pointy".
|
|
self.assertEqual(m[0].constraint(s.words[0]), p[1])
|
|
self.assertEqual(m[1].constraint(s.words[-3]), p[0])
|
|
self.assertEqual(m[1].constraint(s.words[-2]), p[1])
|
|
# Assert constraints "JJ NN*" links to chunk "pointy teeth".
|
|
self.assertEqual(m[1].constraints(s.chunks[-1]), [p[0], p[1]])
|
|
# Assert Match.constituents() by constraint, constraint index and list of indices.
|
|
self.assertEqual(m[1].constituents(), [s.words[-3], s.words[-2]])
|
|
self.assertEqual(m[1].constituents(constraint=p[0]), [s.words[-3]])
|
|
self.assertEqual(m[1].constituents(constraint=1), [s.words[-2]])
|
|
self.assertEqual(m[1].constituents(constraint=(0, 1)), [s.words[-3], s.words[-2]])
|
|
# Assert Match.string.
|
|
self.assertEqual(m[1].string, "pointy teeth")
|
|
print("pattern.search.Match")
|
|
|
|
def test_group(self):
|
|
# Assert Match groups.
|
|
s = Sentence(parse("the big black cat eats a tasty fish"))
|
|
m = search.search("DT {JJ+} NN", s)
|
|
self.assertEqual(m[0].group(1).string, "big black")
|
|
self.assertEqual(m[1].group(1).string, "tasty")
|
|
# Assert nested groups (and syntax with additional spaces).
|
|
m = search.search("DT { JJ { JJ { NN }}}", s)
|
|
self.assertEqual(m[0].group(1).string, "big black cat")
|
|
self.assertEqual(m[0].group(2).string, "black cat")
|
|
self.assertEqual(m[0].group(3).string, "cat")
|
|
# Assert chunked groups.
|
|
m = search.search("NP {VP NP}", s)
|
|
v = m[0].group(1, chunked=True)
|
|
self.assertEqual(v[0].string, "eats")
|
|
self.assertEqual(v[1].string, "a tasty fish")
|
|
print("pattern.search.Match.group()")
|
|
|
|
def test_group_ordering(self):
|
|
# Assert group parser ordering (opened-first).
|
|
c1 = search.Constraint("1")
|
|
c2 = search.Constraint("2")
|
|
c3 = search.Constraint("3")
|
|
c4 = search.Constraint("4")
|
|
p = search.Pattern([c1, [c2, [[c3], c4]]])
|
|
self.assertEqual(p.groups[0][0].words[0], "2")
|
|
self.assertEqual(p.groups[0][1].words[0], "3")
|
|
self.assertEqual(p.groups[0][2].words[0], "4")
|
|
self.assertEqual(p.groups[1][0].words[0], "3")
|
|
self.assertEqual(p.groups[1][1].words[0], "4")
|
|
self.assertEqual(p.groups[2][0].words[0], "3")
|
|
p = search.Pattern.fromstring("1 {2 {{3} 4}}")
|
|
self.assertEqual(p.groups[0][0].words[0], "2")
|
|
self.assertEqual(p.groups[0][1].words[0], "3")
|
|
self.assertEqual(p.groups[0][2].words[0], "4")
|
|
self.assertEqual(p.groups[1][0].words[0], "3")
|
|
self.assertEqual(p.groups[1][1].words[0], "4")
|
|
self.assertEqual(p.groups[2][0].words[0], "3")
|
|
p = search.Pattern.fromstring("1 {2} {3} 4")
|
|
self.assertEqual(p.groups[0][0].words[0], "2")
|
|
self.assertEqual(p.groups[1][0].words[0], "3")
|
|
|
|
#---------------------------------------------------------------------------------------------------
|
|
|
|
|
|
def suite():
|
|
suite = unittest.TestSuite()
|
|
suite.addTest(unittest.TestLoader().loadTestsFromTestCase(TestUtilityFunctions))
|
|
suite.addTest(unittest.TestLoader().loadTestsFromTestCase(TestTaxonomy))
|
|
suite.addTest(unittest.TestLoader().loadTestsFromTestCase(TestConstraint))
|
|
suite.addTest(unittest.TestLoader().loadTestsFromTestCase(TestPattern))
|
|
suite.addTest(unittest.TestLoader().loadTestsFromTestCase(TestMatch))
|
|
return suite
|
|
|
|
if __name__ == "__main__":
|
|
|
|
result = unittest.TextTestRunner(verbosity=1).run(suite())
|
|
sys.exit(not result.wasSuccessful())
|