Spaces:
Sleeping
Sleeping
unit testing
Browse files
README.md
CHANGED
@@ -82,7 +82,7 @@ print(metric.inputs_description)
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[//]: # (- **input_field** *(type): Definition of input, with explanation if necessary. State any default value(s).*)
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### Output Values
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List of `Scores` dataclass corresponding to each sample -
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- `precision: float`: Precision score, which ranges from 0.0 to 1.0.
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- `recall: List[float]`: Recall score corresponding to each reference
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[//]: # (- **input_field** *(type): Definition of input, with explanation if necessary. State any default value(s).*)
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### Output Values
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Singleton/List of `Scores` dataclass corresponding to each sample -
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- `precision: float`: Precision score, which ranges from 0.0 to 1.0.
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- `recall: List[float]`: Recall score corresponding to each reference
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tests.py
CHANGED
@@ -249,7 +249,7 @@ class TestSemF1(unittest.TestCase):
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'this is the second prediction sample',
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]
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-
def
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"""
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check if a `Scores` class is returned instead of a list of
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`Scores`
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@@ -266,6 +266,70 @@ class TestSemF1(unittest.TestCase):
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)
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self.assertIsInstance(scores, Scores)
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def test_untokenized_single_reference(self):
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scores = self.semf1_metric.compute(
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'this is the second prediction sample',
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]
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def test_aggregate_multi_sample(self):
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"""
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check if a `Scores` class is returned instead of a list of
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`Scores`
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)
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self.assertIsInstance(scores, Scores)
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def test_aggregate_untokenized_single_ref(self):
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scores = self.semf1_metric.compute(
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predictions=self.untokenized_single_reference_predictions,
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references=self.untokenized_single_reference_references,
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tokenize_sentences=True,
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multi_references=False,
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gpu=False,
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batch_size=32,
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verbose=False,
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aggregate=True,
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)
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self.assertIsInstance(scores, Scores)
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def test_aggregate_tokenized_single_ref(self):
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scores = self.semf1_metric.compute(
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predictions=self.tokenized_single_reference_predictions,
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references=self.tokenized_single_reference_references,
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tokenize_sentences=True,
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multi_references=False,
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gpu=False,
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batch_size=32,
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verbose=False,
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aggregate=True,
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)
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self.assertIsInstance(scores, Scores)
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def test_aggregate_untokenized_multi_ref(self):
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scores = self.semf1_metric.compute(
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predictions=self.untokenized_multi_reference_predictions,
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references=self.untokenized_multi_reference_references,
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tokenize_sentences=True,
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multi_references=False,
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gpu=False,
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batch_size=32,
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verbose=False,
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aggregate=True,
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)
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self.assertIsInstance(scores, Scores)
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def test_aggregate_tokenized_multi_ref(self):
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scores = self.semf1_metric.compute(
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predictions=self.tokenized_multi_reference_predictions,
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references=self.tokenized_multi_reference_references,
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tokenize_sentences=True,
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multi_references=False,
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gpu=False,
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batch_size=32,
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verbose=False,
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aggregate=True,
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)
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self.assertIsInstance(scores, Scores)
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def test_aggregate_same_pred_and_ref(self):
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scores = self.semf1_metric.compute(
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predictions=self.tokenized_single_reference_predictions,
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references=self.tokenized_single_reference_predictions,
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tokenize_sentences=True,
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multi_references=False,
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gpu=False,
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batch_size=32,
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verbose=False,
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aggregate=True,
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)
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self.assertIsInstance(scores, Scores)
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def test_untokenized_single_reference(self):
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scores = self.semf1_metric.compute(
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