def test_sum_merge(self):
counter = cobe.counter.MergeCounter()
expected = [
("an", 1),
("an on-disk", 1),
("an on-disk data", 1),
("can", 3),
("can read", 2),
("can read about", 1),
("can read about its", 1)
]
# Merge a single source's items
merge = counter._sum_merge(counter.dict_counts(self.items))
self.assertEqual(expected, list(merge))
items = {
"one": 1,
"two": 2
}
expected = [("one", 2), ("two", 4)]
# Merge these items twice
merge = counter._sum_merge(counter.dict_counts(items),
counter.dict_counts(items))
self.assertEqual(expected, list(merge))
def test_sum_merge(self):
counter = cobe.counter.MergeCounter()
expected = [("an", 1), ("an on-disk", 1), ("an on-disk data", 1),
("can", 3), ("can read", 2), ("can read about", 1),
("can read about its", 1)]
# Merge a single source's items
merge = counter._sum_merge(counter.dict_counts(self.items))
self.assertEqual(expected, list(merge))
items = {"one": 1, "two": 2}
expected = [("one", 2), ("two", 4)]
# Merge these items twice
merge = counter._sum_merge(counter.dict_counts(items),
counter.dict_counts(items))
self.assertEqual(expected, list(merge))
def test_dict_counts(self):
# dict_counts returns the lexically sorted item tuples from
# its argument. Use n-grams from cobe's README as test data.
counter = cobe.counter.MergeCounter()
expected = [("an", 1), ("an on-disk", 1), ("an on-disk data", 1),
("can", 3), ("can read", 2), ("can read about", 1),
("can read about its", 1)]
counts = counter.dict_counts(self.items)
self.assertEqual(expected, counts)
def test_dict_counts(self):
# dict_counts returns the lexically sorted item tuples from
# its argument. Use n-grams from cobe's README as test data.
counter = cobe.counter.MergeCounter()
expected = [
("an", 1),
("an on-disk", 1),
("an on-disk data", 1),
("can", 3),
("can read", 2),
("can read about", 1),
("can read about its", 1)
]
counts = counter.dict_counts(self.items)
self.assertEqual(expected, counts)
