
'''simple docstring'''







import pytest

from datasets import inspect_metric, list_metrics, load_metric



@pytest.fixture
def 			_a		(	_SCREAMING_SNAKE_CASE		:   int  ):
						monkeypatch.setattr("datasets.utils.deprecation_utils._emitted_deprecation_warnings"	,			set()  )



@pytest.fixture
def 			_a		(	_SCREAMING_SNAKE_CASE		:   Optional[int]  ):


						class 			lowerCAmelCase :




								def __init__(				self					,						UpperCamelCase      ):
														_SCREAMING_SNAKE_CASE				= metric_id


						class 			lowerCAmelCase :
								a							:					List[Any]       =					[MetricMock(__UpperCAmelCase			) for metric_id in ["""accuracy""", """mse""", """precision""", """codeparrot/apps_metric"""]]




								def     lowercase       (				self      ):
														return self._metrics
						monkeypatch.setattr("datasets.inspect.huggingface_hub"	,			HfhMock()  )




@pytest.mark.parametrize(
    "func, args"	,			[(load_metric, ("metrics/mse",)), (list_metrics, ()), (inspect_metric, ("metrics/mse", "tmp_path"))]  )
def 			_a		(	_SCREAMING_SNAKE_CASE		:   Tuple	,			_SCREAMING_SNAKE_CASE		:   List[Any]	,			_SCREAMING_SNAKE_CASE		:   Optional[int]	,			_SCREAMING_SNAKE_CASE		:   List[Any]	,			_SCREAMING_SNAKE_CASE		:   Optional[Any]  ):
						if "tmp_path" in args:
												_SCREAMING_SNAKE_CASE				= tuple(arg if arg != "tmp_path" else tmp_path for arg in args  )
						with pytest.warns(_SCREAMING_SNAKE_CASE	,			match="https://huggingface.co/docs/evaluate"  ):
												func(*_SCREAMING_SNAKE_CASE  )

'''simple docstring'''







from transformers import DistilBertTokenizer, DistilBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest


@require_tokenizers
class 			lowerCAmelCase (				__UpperCAmelCase			):
		a							:					Dict       =					DistilBertTokenizer
		a							:					Tuple       =					DistilBertTokenizerFast
		a							:					List[str]       =					True




		@slow
		def     lowercase       (				self      ):
								_SCREAMING_SNAKE_CASE				= DistilBertTokenizer.from_pretrained("distilbert-base-uncased"      )

								_SCREAMING_SNAKE_CASE				= tokenizer.encode("sequence builders"					,						add_special_tokens=UpperCamelCase      )
								_SCREAMING_SNAKE_CASE				= tokenizer.encode("multi-sequence build"					,						add_special_tokens=UpperCamelCase      )

								_SCREAMING_SNAKE_CASE				= tokenizer.build_inputs_with_special_tokens(UpperCamelCase      )
								_SCREAMING_SNAKE_CASE				= tokenizer.build_inputs_with_special_tokens(UpperCamelCase					,						UpperCamelCase      )

								assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
								assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
								    tokenizer.sep_token_id
								]