spaCy/tests/test_non_sparse.py

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import py.test
from spacy.orth import non_sparse
import math
def test_common_case_upper():
cases = {'upper': 0.7, 'lower': 0.2, 'title': 0.1}
prob = math.log(0.1)
assert non_sparse('usa', prob, 0, cases, {}) == 'USA'
def test_same():
cases = {'upper': 0.01, 'title': 0.09, 'lower': 0.9}
prob = math.log(0.5)
assert non_sparse('the', prob, 0, cases, {}) == 'the'
def test_common_case_lower():
prob = math.log(0.5)
cases = {'upper': 0.01, 'title': 0.09, 'lower': 0.9}
assert non_sparse('The', prob, 0, cases, {}) == 'the'
def test_shape():
prob = math.log(0.00001)
cases = {'upper': 0.0, 'title': 0.0, 'lower': 0.0}
assert non_sparse('1999', prob, 0, cases, {}) == 'dddd'