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dupeguru/core/tests/engine_test.py
2013-04-28 10:35:51 -04:00

834 lines
28 KiB
Python

# Created By: Virgil Dupras
# Created On: 2006/01/29
# Copyright 2013 Hardcoded Software (http://www.hardcoded.net)
#
# This software is licensed under the "BSD" License as described in the "LICENSE" file,
# which should be included with this package. The terms are also available at
# http://www.hardcoded.net/licenses/bsd_license
import sys
from jobprogress import job
from hscommon.util import first
from hscommon.testutil import eq_, log_calls
from .base import NamedObject
from .. import engine
from ..engine import *
no = NamedObject
def get_match_triangle():
o1 = NamedObject(with_words=True)
o2 = NamedObject(with_words=True)
o3 = NamedObject(with_words=True)
m1 = get_match(o1,o2)
m2 = get_match(o1,o3)
m3 = get_match(o2,o3)
return [m1, m2, m3]
def get_test_group():
m1, m2, m3 = get_match_triangle()
result = Group()
result.add_match(m1)
result.add_match(m2)
result.add_match(m3)
return result
def assert_match(m, name1, name2):
# When testing matches, whether objects are in first or second position very often doesn't
# matter. This function makes this test more convenient.
if m.first.name == name1:
eq_(m.second.name, name2)
else:
eq_(m.first.name, name2)
eq_(m.second.name, name1)
class TestCasegetwords:
def test_spaces(self):
eq_(['a', 'b', 'c', 'd'], getwords("a b c d"))
eq_(['a', 'b', 'c', 'd'], getwords(" a b c d "))
def test_splitter_chars(self):
eq_(
[chr(i) for i in range(ord('a'),ord('z')+1)],
getwords("a-b_c&d+e(f)g;h\\i[j]k{l}m:n.o,p<q>r/s?t~u!v@w#x$y*z")
)
def test_joiner_chars(self):
eq_(["aec"], getwords("a'e\u0301c"))
def test_empty(self):
eq_([], getwords(''))
def test_returns_lowercase(self):
eq_(['foo', 'bar'], getwords('FOO BAR'))
def test_decompose_unicode(self):
eq_(getwords('foo\xe9bar'), ['fooebar'])
class TestCasegetfields:
def test_simple(self):
eq_([['a', 'b'], ['c', 'd', 'e']], getfields('a b - c d e'))
def test_empty(self):
eq_([], getfields(''))
def test_cleans_empty_fields(self):
expected = [['a', 'bc', 'def']]
actual = getfields(' - a bc def')
eq_(expected, actual)
expected = [['bc', 'def']]
class TestCaseunpack_fields:
def test_with_fields(self):
expected = ['a', 'b', 'c', 'd', 'e', 'f']
actual = unpack_fields([['a'], ['b', 'c'], ['d', 'e', 'f']])
eq_(expected, actual)
def test_without_fields(self):
expected = ['a', 'b', 'c', 'd', 'e', 'f']
actual = unpack_fields(['a', 'b', 'c', 'd', 'e', 'f'])
eq_(expected, actual)
def test_empty(self):
eq_([], unpack_fields([]))
class TestCaseWordCompare:
def test_list(self):
eq_(100, compare(['a', 'b', 'c', 'd'],['a', 'b', 'c', 'd']))
eq_(86, compare(['a', 'b', 'c', 'd'],['a', 'b', 'c']))
def test_unordered(self):
#Sometimes, users don't want fuzzy matching too much When they set the slider
#to 100, they don't expect a filename with the same words, but not the same order, to match.
#Thus, we want to return 99 in that case.
eq_(99, compare(['a', 'b', 'c', 'd'], ['d', 'b', 'c', 'a']))
def test_word_occurs_twice(self):
#if a word occurs twice in first, but once in second, we want the word to be only counted once
eq_(89, compare(['a', 'b', 'c', 'd', 'a'], ['d', 'b', 'c', 'a']))
def test_uses_copy_of_lists(self):
first = ['foo', 'bar']
second = ['bar', 'bleh']
compare(first, second)
eq_(['foo', 'bar'], first)
eq_(['bar', 'bleh'], second)
def test_word_weight(self):
eq_(int((6.0 / 13.0) * 100), compare(['foo', 'bar'], ['bar', 'bleh'], (WEIGHT_WORDS, )))
def test_similar_words(self):
eq_(100, compare(['the', 'white', 'stripes'],['the', 'whites', 'stripe'], (MATCH_SIMILAR_WORDS, )))
def test_empty(self):
eq_(0, compare([], []))
def test_with_fields(self):
eq_(67, compare([['a', 'b'], ['c', 'd', 'e']], [['a', 'b'], ['c', 'd', 'f']]))
def test_propagate_flags_with_fields(self, monkeypatch):
def mock_compare(first, second, flags):
eq_((0, 1, 2, 3, 5), flags)
monkeypatch.setattr(engine, 'compare_fields', mock_compare)
compare([['a']], [['a']], (0, 1, 2, 3, 5))
class TestCaseWordCompareWithFields:
def test_simple(self):
eq_(67, compare_fields([['a', 'b'], ['c', 'd', 'e']], [['a', 'b'], ['c', 'd', 'f']]))
def test_empty(self):
eq_(0, compare_fields([], []))
def test_different_length(self):
eq_(0, compare_fields([['a'], ['b']], [['a'], ['b'], ['c']]))
def test_propagates_flags(self, monkeypatch):
def mock_compare(first, second, flags):
eq_((0, 1, 2, 3, 5), flags)
monkeypatch.setattr(engine, 'compare_fields', mock_compare)
compare_fields([['a']], [['a']],(0, 1, 2, 3, 5))
def test_order(self):
first = [['a', 'b'], ['c', 'd', 'e']]
second = [['c', 'd', 'f'], ['a', 'b']]
eq_(0, compare_fields(first, second))
def test_no_order(self):
first = [['a','b'],['c','d','e']]
second = [['c','d','f'],['a','b']]
eq_(67, compare_fields(first, second, (NO_FIELD_ORDER, )))
first = [['a','b'],['a','b']] #a field can only be matched once.
second = [['c','d','f'],['a','b']]
eq_(0, compare_fields(first, second, (NO_FIELD_ORDER, )))
first = [['a','b'],['a','b','c']]
second = [['c','d','f'],['a','b']]
eq_(33, compare_fields(first, second, (NO_FIELD_ORDER, )))
def test_compare_fields_without_order_doesnt_alter_fields(self):
#The NO_ORDER comp type altered the fields!
first = [['a','b'],['c','d','e']]
second = [['c','d','f'],['a','b']]
eq_(67, compare_fields(first, second, (NO_FIELD_ORDER, )))
eq_([['a','b'],['c','d','e']],first)
eq_([['c','d','f'],['a','b']],second)
class TestCasebuild_word_dict:
def test_with_standard_words(self):
l = [NamedObject('foo bar',True)]
l.append(NamedObject('bar baz',True))
l.append(NamedObject('baz bleh foo',True))
d = build_word_dict(l)
eq_(4,len(d))
eq_(2,len(d['foo']))
assert l[0] in d['foo']
assert l[2] in d['foo']
eq_(2,len(d['bar']))
assert l[0] in d['bar']
assert l[1] in d['bar']
eq_(2,len(d['baz']))
assert l[1] in d['baz']
assert l[2] in d['baz']
eq_(1,len(d['bleh']))
assert l[2] in d['bleh']
def test_unpack_fields(self):
o = NamedObject('')
o.words = [['foo','bar'],['baz']]
d = build_word_dict([o])
eq_(3,len(d))
eq_(1,len(d['foo']))
def test_words_are_unaltered(self):
o = NamedObject('')
o.words = [['foo','bar'],['baz']]
build_word_dict([o])
eq_([['foo','bar'],['baz']],o.words)
def test_object_instances_can_only_be_once_in_words_object_list(self):
o = NamedObject('foo foo',True)
d = build_word_dict([o])
eq_(1,len(d['foo']))
def test_job(self):
def do_progress(p,d=''):
self.log.append(p)
return True
j = job.Job(1,do_progress)
self.log = []
s = "foo bar"
build_word_dict([NamedObject(s, True), NamedObject(s, True), NamedObject(s, True)], j)
# We don't have intermediate log because iter_with_progress is called with every > 1
eq_(0,self.log[0])
eq_(100,self.log[1])
class TestCasemerge_similar_words:
def test_some_similar_words(self):
d = {
'foobar':set([1]),
'foobar1':set([2]),
'foobar2':set([3]),
}
merge_similar_words(d)
eq_(1,len(d))
eq_(3,len(d['foobar']))
class TestCasereduce_common_words:
def test_typical(self):
d = {
'foo': set([NamedObject('foo bar',True) for i in range(50)]),
'bar': set([NamedObject('foo bar',True) for i in range(49)])
}
reduce_common_words(d, 50)
assert 'foo' not in d
eq_(49,len(d['bar']))
def test_dont_remove_objects_with_only_common_words(self):
d = {
'common': set([NamedObject("common uncommon",True) for i in range(50)] + [NamedObject("common",True)]),
'uncommon': set([NamedObject("common uncommon",True)])
}
reduce_common_words(d, 50)
eq_(1,len(d['common']))
eq_(1,len(d['uncommon']))
def test_values_still_are_set_instances(self):
d = {
'common': set([NamedObject("common uncommon",True) for i in range(50)] + [NamedObject("common",True)]),
'uncommon': set([NamedObject("common uncommon",True)])
}
reduce_common_words(d, 50)
assert isinstance(d['common'],set)
assert isinstance(d['uncommon'],set)
def test_dont_raise_KeyError_when_a_word_has_been_removed(self):
#If a word has been removed by the reduce, an object in a subsequent common word that
#contains the word that has been removed would cause a KeyError.
d = {
'foo': set([NamedObject('foo bar baz',True) for i in range(50)]),
'bar': set([NamedObject('foo bar baz',True) for i in range(50)]),
'baz': set([NamedObject('foo bar baz',True) for i in range(49)])
}
try:
reduce_common_words(d, 50)
except KeyError:
self.fail()
def test_unpack_fields(self):
#object.words may be fields.
def create_it():
o = NamedObject('')
o.words = [['foo','bar'],['baz']]
return o
d = {
'foo': set([create_it() for i in range(50)])
}
try:
reduce_common_words(d, 50)
except TypeError:
self.fail("must support fields.")
def test_consider_a_reduced_common_word_common_even_after_reduction(self):
#There was a bug in the code that causeda word that has already been reduced not to
#be counted as a common word for subsequent words. For example, if 'foo' is processed
#as a common word, keeping a "foo bar" file in it, and the 'bar' is processed, "foo bar"
#would not stay in 'bar' because 'foo' is not a common word anymore.
only_common = NamedObject('foo bar',True)
d = {
'foo': set([NamedObject('foo bar baz',True) for i in range(49)] + [only_common]),
'bar': set([NamedObject('foo bar baz',True) for i in range(49)] + [only_common]),
'baz': set([NamedObject('foo bar baz',True) for i in range(49)])
}
reduce_common_words(d, 50)
eq_(1,len(d['foo']))
eq_(1,len(d['bar']))
eq_(49,len(d['baz']))
class TestCaseget_match:
def test_simple(self):
o1 = NamedObject("foo bar",True)
o2 = NamedObject("bar bleh",True)
m = get_match(o1,o2)
eq_(50,m.percentage)
eq_(['foo','bar'],m.first.words)
eq_(['bar','bleh'],m.second.words)
assert m.first is o1
assert m.second is o2
def test_in(self):
o1 = NamedObject("foo",True)
o2 = NamedObject("bar",True)
m = get_match(o1,o2)
assert o1 in m
assert o2 in m
assert object() not in m
def test_word_weight(self):
eq_(int((6.0 / 13.0) * 100),get_match(NamedObject("foo bar",True),NamedObject("bar bleh",True),(WEIGHT_WORDS,)).percentage)
class TestCaseGetMatches:
def test_empty(self):
eq_(getmatches([]), [])
def test_simple(self):
l = [NamedObject("foo bar"),NamedObject("bar bleh"),NamedObject("a b c foo")]
r = getmatches(l)
eq_(2,len(r))
m = first(m for m in r if m.percentage == 50) #"foo bar" and "bar bleh"
assert_match(m, 'foo bar', 'bar bleh')
m = first(m for m in r if m.percentage == 33) #"foo bar" and "a b c foo"
assert_match(m, 'foo bar', 'a b c foo')
def test_null_and_unrelated_objects(self):
l = [NamedObject("foo bar"),NamedObject("bar bleh"),NamedObject(""),NamedObject("unrelated object")]
r = getmatches(l)
eq_(len(r), 1)
m = r[0]
eq_(m.percentage, 50)
assert_match(m, 'foo bar', 'bar bleh')
def test_twice_the_same_word(self):
l = [NamedObject("foo foo bar"),NamedObject("bar bleh")]
r = getmatches(l)
eq_(1,len(r))
def test_twice_the_same_word_when_preworded(self):
l = [NamedObject("foo foo bar",True),NamedObject("bar bleh",True)]
r = getmatches(l)
eq_(1,len(r))
def test_two_words_match(self):
l = [NamedObject("foo bar"),NamedObject("foo bar bleh")]
r = getmatches(l)
eq_(1,len(r))
def test_match_files_with_only_common_words(self):
#If a word occurs more than 50 times, it is excluded from the matching process
#The problem with the common_word_threshold is that the files containing only common
#words will never be matched together. We *should* match them.
# This test assumes that the common word threashold const is 50
l = [NamedObject("foo") for i in range(50)]
r = getmatches(l)
eq_(1225,len(r))
def test_use_words_already_there_if_there(self):
o1 = NamedObject('foo')
o2 = NamedObject('bar')
o2.words = ['foo']
eq_(1, len(getmatches([o1,o2])))
def test_job(self):
def do_progress(p,d=''):
self.log.append(p)
return True
j = job.Job(1,do_progress)
self.log = []
s = "foo bar"
getmatches([NamedObject(s), NamedObject(s), NamedObject(s)], j=j)
assert len(self.log) > 2
eq_(0,self.log[0])
eq_(100,self.log[-1])
def test_weight_words(self):
l = [NamedObject("foo bar"),NamedObject("bar bleh")]
m = getmatches(l, weight_words=True)[0]
eq_(int((6.0 / 13.0) * 100),m.percentage)
def test_similar_word(self):
l = [NamedObject("foobar"),NamedObject("foobars")]
eq_(len(getmatches(l, match_similar_words=True)), 1)
eq_(getmatches(l, match_similar_words=True)[0].percentage, 100)
l = [NamedObject("foobar"),NamedObject("foo")]
eq_(len(getmatches(l, match_similar_words=True)), 0) #too far
l = [NamedObject("bizkit"),NamedObject("bizket")]
eq_(len(getmatches(l, match_similar_words=True)), 1)
l = [NamedObject("foobar"),NamedObject("foosbar")]
eq_(len(getmatches(l, match_similar_words=True)), 1)
def test_single_object_with_similar_words(self):
l = [NamedObject("foo foos")]
eq_(len(getmatches(l, match_similar_words=True)), 0)
def test_double_words_get_counted_only_once(self):
l = [NamedObject("foo bar foo bleh"),NamedObject("foo bar bleh bar")]
m = getmatches(l)[0]
eq_(75,m.percentage)
def test_with_fields(self):
o1 = NamedObject("foo bar - foo bleh")
o2 = NamedObject("foo bar - bleh bar")
o1.words = getfields(o1.name)
o2.words = getfields(o2.name)
m = getmatches([o1, o2])[0]
eq_(50, m.percentage)
def test_with_fields_no_order(self):
o1 = NamedObject("foo bar - foo bleh")
o2 = NamedObject("bleh bang - foo bar")
o1.words = getfields(o1.name)
o2.words = getfields(o2.name)
m = getmatches([o1, o2], no_field_order=True)[0]
eq_(m.percentage, 50)
def test_only_match_similar_when_the_option_is_set(self):
l = [NamedObject("foobar"),NamedObject("foobars")]
eq_(len(getmatches(l, match_similar_words=False)), 0)
def test_dont_recurse_do_match(self):
# with nosetests, the stack is increased. The number has to be high enough not to be failing falsely
sys.setrecursionlimit(100)
files = [NamedObject('foo bar') for i in range(101)]
try:
getmatches(files)
except RuntimeError:
self.fail()
finally:
sys.setrecursionlimit(1000)
def test_min_match_percentage(self):
l = [NamedObject("foo bar"),NamedObject("bar bleh"),NamedObject("a b c foo")]
r = getmatches(l, min_match_percentage=50)
eq_(1,len(r)) #Only "foo bar" / "bar bleh" should match
def test_MemoryError(self, monkeypatch):
@log_calls
def mocked_match(first, second, flags):
if len(mocked_match.calls) > 42:
raise MemoryError()
return Match(first, second, 0)
objects = [NamedObject() for i in range(10)] # results in 45 matches
monkeypatch.setattr(engine, 'get_match', mocked_match)
try:
r = getmatches(objects)
except MemoryError:
self.fail('MemorryError must be handled')
eq_(42, len(r))
class TestCaseGetMatchesByContents:
def test_dont_compare_empty_files(self):
o1, o2 = no(size=0), no(size=0)
assert not getmatches_by_contents([o1, o2])
class TestCaseGroup:
def test_empy(self):
g = Group()
eq_(None,g.ref)
eq_([],g.dupes)
eq_(0,len(g.matches))
def test_add_match(self):
g = Group()
m = get_match(NamedObject("foo",True),NamedObject("bar",True))
g.add_match(m)
assert g.ref is m.first
eq_([m.second],g.dupes)
eq_(1,len(g.matches))
assert m in g.matches
def test_multiple_add_match(self):
g = Group()
o1 = NamedObject("a",True)
o2 = NamedObject("b",True)
o3 = NamedObject("c",True)
o4 = NamedObject("d",True)
g.add_match(get_match(o1,o2))
assert g.ref is o1
eq_([o2],g.dupes)
eq_(1,len(g.matches))
g.add_match(get_match(o1,o3))
eq_([o2],g.dupes)
eq_(2,len(g.matches))
g.add_match(get_match(o2,o3))
eq_([o2,o3],g.dupes)
eq_(3,len(g.matches))
g.add_match(get_match(o1,o4))
eq_([o2,o3],g.dupes)
eq_(4,len(g.matches))
g.add_match(get_match(o2,o4))
eq_([o2,o3],g.dupes)
eq_(5,len(g.matches))
g.add_match(get_match(o3,o4))
eq_([o2,o3,o4],g.dupes)
eq_(6,len(g.matches))
def test_len(self):
g = Group()
eq_(0,len(g))
g.add_match(get_match(NamedObject("foo",True),NamedObject("bar",True)))
eq_(2,len(g))
def test_add_same_match_twice(self):
g = Group()
m = get_match(NamedObject("foo",True),NamedObject("foo",True))
g.add_match(m)
eq_(2,len(g))
eq_(1,len(g.matches))
g.add_match(m)
eq_(2,len(g))
eq_(1,len(g.matches))
def test_in(self):
g = Group()
o1 = NamedObject("foo",True)
o2 = NamedObject("bar",True)
assert o1 not in g
g.add_match(get_match(o1,o2))
assert o1 in g
assert o2 in g
def test_remove(self):
g = Group()
o1 = NamedObject("foo",True)
o2 = NamedObject("bar",True)
o3 = NamedObject("bleh",True)
g.add_match(get_match(o1,o2))
g.add_match(get_match(o1,o3))
g.add_match(get_match(o2,o3))
eq_(3,len(g.matches))
eq_(3,len(g))
g.remove_dupe(o3)
eq_(1,len(g.matches))
eq_(2,len(g))
g.remove_dupe(o1)
eq_(0,len(g.matches))
eq_(0,len(g))
def test_remove_with_ref_dupes(self):
g = Group()
o1 = NamedObject("foo",True)
o2 = NamedObject("bar",True)
o3 = NamedObject("bleh",True)
g.add_match(get_match(o1,o2))
g.add_match(get_match(o1,o3))
g.add_match(get_match(o2,o3))
o1.is_ref = True
o2.is_ref = True
g.remove_dupe(o3)
eq_(0,len(g))
def test_switch_ref(self):
o1 = NamedObject(with_words=True)
o2 = NamedObject(with_words=True)
g = Group()
g.add_match(get_match(o1,o2))
assert o1 is g.ref
g.switch_ref(o2)
assert o2 is g.ref
eq_([o1],g.dupes)
g.switch_ref(o2)
assert o2 is g.ref
g.switch_ref(NamedObject('',True))
assert o2 is g.ref
def test_switch_ref_from_ref_dir(self):
# When the ref dupe is from a ref dir, switch_ref() does nothing
o1 = no(with_words=True)
o2 = no(with_words=True)
o1.is_ref = True
g = Group()
g.add_match(get_match(o1, o2))
g.switch_ref(o2)
assert o1 is g.ref
def test_get_match_of(self):
g = Group()
for m in get_match_triangle():
g.add_match(m)
o = g.dupes[0]
m = g.get_match_of(o)
assert g.ref in m
assert o in m
assert g.get_match_of(NamedObject('',True)) is None
assert g.get_match_of(g.ref) is None
def test_percentage(self):
#percentage should return the avg percentage in relation to the ref
m1,m2,m3 = get_match_triangle()
m1 = Match(m1[0], m1[1], 100)
m2 = Match(m2[0], m2[1], 50)
m3 = Match(m3[0], m3[1], 33)
g = Group()
g.add_match(m1)
g.add_match(m2)
g.add_match(m3)
eq_(75,g.percentage)
g.switch_ref(g.dupes[0])
eq_(66,g.percentage)
g.remove_dupe(g.dupes[0])
eq_(33,g.percentage)
g.add_match(m1)
g.add_match(m2)
eq_(66,g.percentage)
def test_percentage_on_empty_group(self):
g = Group()
eq_(0,g.percentage)
def test_prioritize(self):
m1,m2,m3 = get_match_triangle()
o1 = m1.first
o2 = m1.second
o3 = m2.second
o1.name = 'c'
o2.name = 'b'
o3.name = 'a'
g = Group()
g.add_match(m1)
g.add_match(m2)
g.add_match(m3)
assert o1 is g.ref
assert g.prioritize(lambda x:x.name)
assert o3 is g.ref
def test_prioritize_with_tie_breaker(self):
# if the ref has the same key as one or more of the dupe, run the tie_breaker func among them
g = get_test_group()
o1, o2, o3 = g.ordered
tie_breaker = lambda ref, dupe: dupe is o3
g.prioritize(lambda x:0, tie_breaker)
assert g.ref is o3
def test_prioritize_with_tie_breaker_runs_on_all_dupes(self):
# Even if a dupe is chosen to switch with ref with a tie breaker, we still run the tie breaker
# with other dupes and the newly chosen ref
g = get_test_group()
o1, o2, o3 = g.ordered
o1.foo = 1
o2.foo = 2
o3.foo = 3
tie_breaker = lambda ref, dupe: dupe.foo > ref.foo
g.prioritize(lambda x:0, tie_breaker)
assert g.ref is o3
def test_prioritize_with_tie_breaker_runs_only_on_tie_dupes(self):
# The tie breaker only runs on dupes that had the same value for the key_func
g = get_test_group()
o1, o2, o3 = g.ordered
o1.foo = 2
o2.foo = 2
o3.foo = 1
o1.bar = 1
o2.bar = 2
o3.bar = 3
key_func = lambda x: -x.foo
tie_breaker = lambda ref, dupe: dupe.bar > ref.bar
g.prioritize(key_func, tie_breaker)
assert g.ref is o2
def test_prioritize_with_ref_dupe(self):
# when the ref dupe of a group is from a ref dir, make it stay on top.
g = get_test_group()
o1, o2, o3 = g
o1.is_ref = True
o2.size = 2
g.prioritize(lambda x: -x.size)
assert g.ref is o1
def test_prioritize_nothing_changes(self):
# prioritize() returns False when nothing changes in the group.
g = get_test_group()
g[0].name = 'a'
g[1].name = 'b'
g[2].name = 'c'
assert not g.prioritize(lambda x:x.name)
def test_list_like(self):
g = Group()
o1,o2 = (NamedObject("foo",True),NamedObject("bar",True))
g.add_match(get_match(o1,o2))
assert g[0] is o1
assert g[1] is o2
def test_discard_matches(self):
g = Group()
o1,o2,o3 = (NamedObject("foo",True),NamedObject("bar",True),NamedObject("baz",True))
g.add_match(get_match(o1,o2))
g.add_match(get_match(o1,o3))
g.discard_matches()
eq_(1,len(g.matches))
eq_(0,len(g.candidates))
class TestCaseget_groups:
def test_empty(self):
r = get_groups([])
eq_([],r)
def test_simple(self):
l = [NamedObject("foo bar"),NamedObject("bar bleh")]
matches = getmatches(l)
m = matches[0]
r = get_groups(matches)
eq_(1,len(r))
g = r[0]
assert g.ref is m.first
eq_([m.second],g.dupes)
def test_group_with_multiple_matches(self):
#This results in 3 matches
l = [NamedObject("foo"),NamedObject("foo"),NamedObject("foo")]
matches = getmatches(l)
r = get_groups(matches)
eq_(1,len(r))
g = r[0]
eq_(3,len(g))
def test_must_choose_a_group(self):
l = [NamedObject("a b"),NamedObject("a b"),NamedObject("b c"),NamedObject("c d"),NamedObject("c d")]
#There will be 2 groups here: group "a b" and group "c d"
#"b c" can go either of them, but not both.
matches = getmatches(l)
r = get_groups(matches)
eq_(2,len(r))
eq_(5,len(r[0])+len(r[1]))
def test_should_all_go_in_the_same_group(self):
l = [NamedObject("a b"),NamedObject("a b"),NamedObject("a b"),NamedObject("a b")]
#There will be 2 groups here: group "a b" and group "c d"
#"b c" can fit in both, but it must be in only one of them
matches = getmatches(l)
r = get_groups(matches)
eq_(1,len(r))
def test_give_priority_to_matches_with_higher_percentage(self):
o1 = NamedObject(with_words=True)
o2 = NamedObject(with_words=True)
o3 = NamedObject(with_words=True)
m1 = Match(o1, o2, 1)
m2 = Match(o2, o3, 2)
r = get_groups([m1,m2])
eq_(1,len(r))
g = r[0]
eq_(2,len(g))
assert o1 not in g
assert o2 in g
assert o3 in g
def test_four_sized_group(self):
l = [NamedObject("foobar") for i in range(4)]
m = getmatches(l)
r = get_groups(m)
eq_(1,len(r))
eq_(4,len(r[0]))
def test_referenced_by_ref2(self):
o1 = NamedObject(with_words=True)
o2 = NamedObject(with_words=True)
o3 = NamedObject(with_words=True)
m1 = get_match(o1,o2)
m2 = get_match(o3,o1)
m3 = get_match(o3,o2)
r = get_groups([m1,m2,m3])
eq_(3,len(r[0]))
def test_job(self):
def do_progress(p,d=''):
self.log.append(p)
return True
self.log = []
j = job.Job(1,do_progress)
m1,m2,m3 = get_match_triangle()
#101%: To make sure it is processed first so the job test works correctly
m4 = Match(NamedObject('a',True), NamedObject('a',True), 101)
get_groups([m1,m2,m3,m4],j)
eq_(0,self.log[0])
eq_(100,self.log[-1])
def test_group_admissible_discarded_dupes(self):
# If, with a (A, B, C, D) set, all match with A, but C and D don't match with B and that the
# (A, B) match is the highest (thus resulting in an (A, B) group), still match C and D
# in a separate group instead of discarding them.
A, B, C, D = [NamedObject() for _ in range(4)]
m1 = Match(A, B, 90) # This is the strongest "A" match
m2 = Match(A, C, 80) # Because C doesn't match with B, it won't be in the group
m3 = Match(A, D, 80) # Same thing for D
m4 = Match(C, D, 70) # However, because C and D match, they should have their own group.
groups = get_groups([m1, m2, m3, m4])
eq_(len(groups), 2)
g1, g2 = groups
assert A in g1
assert B in g1
assert C in g2
assert D in g2