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from django.test import TestCase
from seqeval.metrics.sequence_labeling import get_entities
from ..models import Label, Document
from ..utils import BaseStorage, ClassificationStorage, SequenceLabelingStorage, Seq2seqStorage, CoNLLParser
from ..utils import Color
class TestColor(TestCase):
def test_random_color(self):
color = Color.random()
self.assertTrue(0 <= color.red <= 255)
self.assertTrue(0 <= color.green <= 255)
self.assertTrue(0 <= color.blue <= 255)
def test_hex(self):
color = Color(red=255, green=192, blue=203)
self.assertEqual(color.hex, '#ffc0cb')
def test_contrast_color(self):
color = Color(red=255, green=192, blue=203)
self.assertEqual(color.contrast_color.hex, '#000000')
color = Color(red=199, green=21, blue=133)
self.assertEqual(color.contrast_color.hex, '#ffffff')
class TestBaseStorage(TestCase):
def test_extract_label(self):
data = [{'labels': ['positive']}, {'labels': ['negative']}]
actual = BaseStorage.extract_label(data)
self.assertEqual(actual, [['positive'], ['negative']])
def test_exclude_created_labels(self):
labels = ['positive', 'negative']
created = {'positive': Label(text='positive')}
actual = BaseStorage.exclude_created_labels(labels, created)
self.assertEqual(actual, ['negative'])
def test_to_serializer_format(self):
labels = ['positive']
created = {}
actual = BaseStorage.to_serializer_format(labels, created, random_seed=123)
self.assertEqual(actual, [{
'text': 'positive',
'prefix_key': None,
'suffix_key': 'p',
'background_color': '#0d1668',
'text_color': '#ffffff',
}])
def test_get_shortkey_without_existing_shortkey(self):
label = 'positive'
created = {}
actual = BaseStorage.get_shortkey(label, created)
self.assertEqual(actual, ('p', None))
def test_get_shortkey_with_existing_shortkey(self):
label = 'positive'
created = {('p', None)}
actual = BaseStorage.get_shortkey(label, created)
self.assertEqual(actual, ('p', 'ctrl'))
def test_update_saved_labels(self):
saved = {'positive': Label(text='positive', text_color='#000000')}
new = [Label(text='positive', text_color='#ffffff')]
actual = BaseStorage.update_saved_labels(saved, new)
self.assertEqual(actual['positive'].text_color, '#ffffff')
class TestClassificationStorage(TestCase):
def test_extract_unique_labels(self):
labels = [['positive'], ['positive', 'negative'], ['negative']]
actual = ClassificationStorage.extract_unique_labels(labels)
self.assertCountEqual(actual, ['positive', 'negative'])
def test_make_annotations(self):
docs = [Document(text='a', id=1), Document(text='b', id=2), Document(text='c', id=3)]
labels = [['positive'], ['positive', 'negative'], ['negative']]
saved_labels = {'positive': Label(text='positive', id=1), 'negative': Label(text='negative', id=2)}
actual = ClassificationStorage.make_annotations(docs, labels, saved_labels)
self.assertCountEqual(actual, [
{'document': 1, 'label': 1},
{'document': 2, 'label': 1},
{'document': 2, 'label': 2},
{'document': 3, 'label': 2},
])
class TestSequenceLabelingStorage(TestCase):
def test_extract_unique_labels(self):
labels = [[[0, 1, 'LOC']], [[3, 4, 'ORG']]]
actual = SequenceLabelingStorage.extract_unique_labels(labels)
self.assertCountEqual(actual, ['LOC', 'ORG'])
def test_make_annotations(self):
docs = [Document(text='a', id=1), Document(text='b', id=2)]
labels = [[[0, 1, 'LOC']], [[3, 4, 'ORG']]]
saved_labels = {'LOC': Label(text='LOC', id=1), 'ORG': Label(text='ORG', id=2)}
actual = SequenceLabelingStorage.make_annotations(docs, labels, saved_labels)
self.assertEqual(actual, [
{'document': 1, 'label': 1, 'start_offset': 0, 'end_offset': 1},
{'document': 2, 'label': 2, 'start_offset': 3, 'end_offset': 4},
])
class TestSeq2seqStorage(TestCase):
def test_make_annotations(self):
docs = [Document(text='a', id=1), Document(text='b', id=2)]
labels = [['Hello!'], ['How are you?', "What's up?"]]
actual = Seq2seqStorage.make_annotations(docs, labels)
self.assertEqual(actual, [
{'document': 1, 'text': 'Hello!'},
{'document': 2, 'text': 'How are you?'},
{'document': 2, 'text': "What's up?"},
])
class TestCoNLLParser(TestCase):
def test_calc_char_offset(self):
words = ['EU', 'rejects', 'German', 'call']
tags = ['B-ORG', 'O', 'B-MISC', 'O']
entities = get_entities(tags)
actual = CoNLLParser.calc_char_offset(words, tags)
self.assertEqual(entities, [('ORG', 0, 0), ('MISC', 2, 2)])
self.assertEqual(actual, {
'text': 'EU rejects German call',
'labels': [[0, 2, 'ORG'], [11, 17, 'MISC']]
})