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test_syntax.py
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156 lines (132 loc) · 4.93 KB
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# Copyright 2016 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import unittest
class TestPartOfSpeech(unittest.TestCase):
@staticmethod
def _get_target_class():
from google.cloud.language.syntax import PartOfSpeech
return PartOfSpeech
def test_reverse(self):
klass = self._get_target_class()
for attr in dir(klass):
if attr.startswith('_'):
continue
if attr.islower():
continue
value = getattr(klass, attr)
result = klass.reverse(value)
self.assertEqual(result, attr)
class TestToken(unittest.TestCase):
@staticmethod
def _get_target_class():
from google.cloud.language.syntax import Token
return Token
def _make_one(self, *args, **kw):
return self._get_target_class()(*args, **kw)
def test_constructor(self):
from google.cloud.language.syntax import PartOfSpeech
text_content = 'All'
text_begin = -1
part_of_speech = PartOfSpeech.DETERMINER
edge_index = 3
edge_label = 'PREDET'
lemma = text_content
token = self._make_one(text_content, text_begin, part_of_speech,
edge_index, edge_label, lemma)
self.assertEqual(token.text_content, text_content)
self.assertEqual(token.text_begin, text_begin)
self.assertEqual(token.part_of_speech, part_of_speech)
self.assertEqual(token.edge_index, edge_index)
self.assertEqual(token.edge_label, edge_label)
self.assertEqual(token.lemma, lemma)
def test_from_api_repr(self):
from google.cloud.language.syntax import PartOfSpeech
klass = self._get_target_class()
text_content = 'pretty'
text_begin = -1
part_of_speech = PartOfSpeech.ADJECTIVE
edge_index = 3
edge_label = 'AMOD'
lemma = text_content
payload = {
'text': {
'content': text_content,
'beginOffset': text_begin,
},
'partOfSpeech': {
'tag': part_of_speech,
},
'dependencyEdge': {
'headTokenIndex': edge_index,
'label': edge_label,
},
'lemma': lemma,
}
token = klass.from_api_repr(payload)
self.assertEqual(token.text_content, text_content)
self.assertEqual(token.text_begin, text_begin)
self.assertEqual(token.part_of_speech, part_of_speech)
self.assertEqual(token.edge_index, edge_index)
self.assertEqual(token.edge_label, edge_label)
self.assertEqual(token.lemma, lemma)
class TestSentence(unittest.TestCase):
@staticmethod
def _get_target_class():
from google.cloud.language.syntax import Sentence
return Sentence
def _make_one(self, *args, **kw):
return self._get_target_class()(*args, **kw)
def test_constructor(self):
content = "All the king's horses."
begin = 11
sentence = self._make_one(content, begin)
self.assertEqual(sentence.content, content)
self.assertEqual(sentence.begin, begin)
def test_from_api_repr(self):
klass = self._get_target_class()
content = 'All the pretty horses.'
begin = -1
payload = {
'text': {
'content': content,
'beginOffset': begin,
},
}
sentence = klass.from_api_repr(payload)
self.assertEqual(sentence.content, content)
self.assertEqual(sentence.begin, begin)
self.assertEqual(sentence.sentiment, None)
def test_from_api_repr_with_sentiment(self):
from google.cloud.language.sentiment import Sentiment
klass = self._get_target_class()
content = 'All the pretty horses.'
begin = -1
score = 0.5
magnitude = 0.5
payload = {
'text': {
'content': content,
'beginOffset': begin,
},
'sentiment': {
'score': score,
'magnitude': magnitude,
}
}
sentence = klass.from_api_repr(payload)
self.assertEqual(sentence.content, content)
self.assertEqual(sentence.begin, begin)
self.assertIsInstance(sentence.sentiment, Sentiment)
self.assertEqual(sentence.sentiment.score, score)
self.assertEqual(sentence.sentiment.magnitude, magnitude)