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pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
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66 lines
2.2 KiB
66 lines
2.2 KiB
from django.test import TestCase
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from django.core.exceptions import ValidationError
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from django.db.utils import IntegrityError
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from mixer.backend.django import mixer
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class TestProject(TestCase):
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def test_project_type(self):
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project = mixer.blend('server.Project')
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project.is_type_of(project.project_type)
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class TestLabel(TestCase):
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def test_shortcut_uniqueness(self):
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label = mixer.blend('server.Label')
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with self.assertRaises(IntegrityError):
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mixer.blend('server.Label',
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shortcut=label.shortcut)
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def test_text_uniqueness(self):
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label = mixer.blend('server.Label')
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with self.assertRaises(IntegrityError):
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mixer.blend('server.Label',
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text=label.text)
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class TestDocumentAnnotation(TestCase):
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def test_uniqueness(self):
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annotation1 = mixer.blend('server.DocumentAnnotation')
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with self.assertRaises(IntegrityError):
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mixer.blend('server.DocumentAnnotation',
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document=annotation1.document,
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user=annotation1.user,
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label=annotation1.label)
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class TestSequenceAnnotation(TestCase):
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def test_uniqueness(self):
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annotation1 = mixer.blend('server.SequenceAnnotation')
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with self.assertRaises(IntegrityError):
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mixer.blend('server.SequenceAnnotation',
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document=annotation1.document,
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user=annotation1.user,
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label=annotation1.label,
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start_offset=annotation1.start_offset,
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end_offset=annotation1.end_offset)
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def test_position_constraint(self):
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with self.assertRaises(ValidationError):
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mixer.blend('server.SequenceAnnotation',
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start_offset=1, end_offset=0).clean()
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class TestSeq2seqAnnotation(TestCase):
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def test_uniqueness(self):
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annotation1 = mixer.blend('server.Seq2seqAnnotation')
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with self.assertRaises(IntegrityError):
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mixer.blend('server.Seq2seqAnnotation',
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document=annotation1.document,
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user=annotation1.user,
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text=annotation1.text)
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