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- The issue is that with previous code we would have the following: ```python qa_pipeline = (...) qa_pipeline(question="Where was he born ?", context="") -> IndexError: Dimension out of range (expected to be in range of [-1, 0], but got 1) ``` The goal here is to improve this to actually return a ValueError wherever possible. While at it, I tried to simplify QuestionArgumentHandler's code to make it smaller and more compat while keeping backward compat.
160 lines
6.3 KiB
Python
160 lines
6.3 KiB
Python
import unittest
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from transformers.data.processors.squad import SquadExample
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from transformers.pipelines import Pipeline, QuestionAnsweringArgumentHandler
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from .test_pipelines_common import CustomInputPipelineCommonMixin
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class QAPipelineTests(CustomInputPipelineCommonMixin, unittest.TestCase):
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pipeline_task = "question-answering"
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small_models = [
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"sshleifer/tiny-distilbert-base-cased-distilled-squad"
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] # Models tested without the @slow decorator
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large_models = [] # Models tested with the @slow decorator
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def _test_pipeline(self, nlp: Pipeline):
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output_keys = {"score", "answer", "start", "end"}
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valid_inputs = [
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{"question": "Where was HuggingFace founded ?", "context": "HuggingFace was founded in Paris."},
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{
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"question": "In what field is HuggingFace working ?",
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"context": "HuggingFace is a startup based in New-York founded in Paris which is trying to solve NLP.",
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},
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]
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invalid_inputs = [
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{"question": "", "context": "This is a test to try empty question edge case"},
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{"question": None, "context": "This is a test to try empty question edge case"},
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{"question": "What is does with empty context ?", "context": ""},
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{"question": "What is does with empty context ?", "context": None},
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]
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self.assertIsNotNone(nlp)
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mono_result = nlp(valid_inputs[0])
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self.assertIsInstance(mono_result, dict)
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for key in output_keys:
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self.assertIn(key, mono_result)
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multi_result = nlp(valid_inputs)
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self.assertIsInstance(multi_result, list)
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self.assertIsInstance(multi_result[0], dict)
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for result in multi_result:
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for key in output_keys:
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self.assertIn(key, result)
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for bad_input in invalid_inputs:
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self.assertRaises(ValueError, nlp, bad_input)
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self.assertRaises(ValueError, nlp, invalid_inputs)
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def test_argument_handler(self):
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qa = QuestionAnsweringArgumentHandler()
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Q = "Where was HuggingFace founded ?"
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C = "HuggingFace was founded in Paris"
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normalized = qa(Q, C)
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self.assertEqual(type(normalized), list)
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self.assertEqual(len(normalized), 1)
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self.assertEqual({type(el) for el in normalized}, {SquadExample})
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normalized = qa(question=Q, context=C)
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self.assertEqual(type(normalized), list)
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self.assertEqual(len(normalized), 1)
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self.assertEqual({type(el) for el in normalized}, {SquadExample})
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normalized = qa(question=Q, context=C)
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self.assertEqual(type(normalized), list)
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self.assertEqual(len(normalized), 1)
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self.assertEqual({type(el) for el in normalized}, {SquadExample})
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normalized = qa({"question": Q, "context": C})
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self.assertEqual(type(normalized), list)
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self.assertEqual(len(normalized), 1)
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self.assertEqual({type(el) for el in normalized}, {SquadExample})
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normalized = qa([{"question": Q, "context": C}])
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self.assertEqual(type(normalized), list)
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self.assertEqual(len(normalized), 1)
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self.assertEqual({type(el) for el in normalized}, {SquadExample})
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normalized = qa([{"question": Q, "context": C}, {"question": Q, "context": C}])
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self.assertEqual(type(normalized), list)
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self.assertEqual(len(normalized), 2)
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self.assertEqual({type(el) for el in normalized}, {SquadExample})
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normalized = qa(X={"question": Q, "context": C})
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self.assertEqual(type(normalized), list)
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self.assertEqual(len(normalized), 1)
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self.assertEqual({type(el) for el in normalized}, {SquadExample})
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normalized = qa(X=[{"question": Q, "context": C}])
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self.assertEqual(type(normalized), list)
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self.assertEqual(len(normalized), 1)
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self.assertEqual({type(el) for el in normalized}, {SquadExample})
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normalized = qa(data={"question": Q, "context": C})
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self.assertEqual(type(normalized), list)
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self.assertEqual(len(normalized), 1)
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self.assertEqual({type(el) for el in normalized}, {SquadExample})
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def test_argument_handler_error_handling(self):
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qa = QuestionAnsweringArgumentHandler()
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Q = "Where was HuggingFace founded ?"
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C = "HuggingFace was founded in Paris"
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with self.assertRaises(KeyError):
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qa({"context": C})
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with self.assertRaises(KeyError):
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qa({"question": Q})
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with self.assertRaises(KeyError):
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qa([{"context": C}])
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with self.assertRaises(ValueError):
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qa(None, C)
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with self.assertRaises(ValueError):
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qa("", C)
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with self.assertRaises(ValueError):
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qa(Q, None)
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with self.assertRaises(ValueError):
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qa(Q, "")
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with self.assertRaises(ValueError):
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qa(question=None, context=C)
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with self.assertRaises(ValueError):
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qa(question="", context=C)
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with self.assertRaises(ValueError):
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qa(question=Q, context=None)
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with self.assertRaises(ValueError):
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qa(question=Q, context="")
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with self.assertRaises(ValueError):
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qa({"question": None, "context": C})
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with self.assertRaises(ValueError):
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qa({"question": "", "context": C})
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with self.assertRaises(ValueError):
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qa({"question": Q, "context": None})
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with self.assertRaises(ValueError):
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qa({"question": Q, "context": ""})
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with self.assertRaises(ValueError):
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qa([{"question": Q, "context": C}, {"question": None, "context": C}])
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with self.assertRaises(ValueError):
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qa([{"question": Q, "context": C}, {"question": "", "context": C}])
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with self.assertRaises(ValueError):
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qa([{"question": Q, "context": C}, {"question": Q, "context": None}])
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with self.assertRaises(ValueError):
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qa([{"question": Q, "context": C}, {"question": Q, "context": ""}])
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def test_argument_handler_error_handling_odd(self):
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qa = QuestionAnsweringArgumentHandler()
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with self.assertRaises(ValueError):
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qa(None)
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with self.assertRaises(ValueError):
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qa(Y=None)
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with self.assertRaises(ValueError):
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qa(1)
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