





from transformers import (
    DPRContextEncoderTokenizer,
    DPRContextEncoderTokenizerFast,
    DPRQuestionEncoderTokenizer,
    DPRQuestionEncoderTokenizerFast,
    DPRReaderOutput,
    DPRReaderTokenizer,
    DPRReaderTokenizerFast,
)
from transformers.testing_utils import require_tokenizers, slow
from transformers.tokenization_utils_base import BatchEncoding

from ..bert.test_tokenization_bert import BertTokenizationTest
@require_tokenizers
class 							snake_case_		(      _A):
		lowerCamelCase     :str							=  DPRContextEncoderTokenizer
		lowerCamelCase     :str							=  DPRContextEncoderTokenizerFast
		lowerCamelCase     :Optional[int]							=  True

@require_tokenizers
class 							snake_case_		(      _A):
		lowerCamelCase     :Any							=  DPRQuestionEncoderTokenizer
		lowerCamelCase     :int							=  DPRQuestionEncoderTokenizerFast
		lowerCamelCase     :Optional[Any]							=  True

@require_tokenizers
class 							snake_case_		(      _A):
		lowerCamelCase     :int							=  DPRReaderTokenizer
		lowerCamelCase     :List[Any]							=  DPRReaderTokenizerFast
		lowerCamelCase     :List[str]							=  True







		@slow
		def       __lowercase (		self )					-> str:
				lowerCamelCase :			str    		=self.tokenizer_class.from_pretrained('''bert-base-uncased''' )

				lowerCamelCase :			Optional[Any]    		=tokenizer.encode('''question sequence'''      ,  add_special_tokens=__lowercase )
				lowerCamelCase :			Dict    		=tokenizer.encode('''title sequence'''      ,  add_special_tokens=__lowercase )
				lowerCamelCase :			Tuple    		=tokenizer.encode('''text sequence ''' * 4      ,  add_special_tokens=__lowercase )
				lowerCamelCase :			List[Any]    		=[[1_0_1] + text_a + [1_0_2] + text_a + [1_0_2] + text_a]
				lowerCamelCase :			Union[str, Any]    		=BatchEncoding({'''input_ids''': input_ids} )

				lowerCamelCase :			List[Any]    		=[[0] * len(input_ids[0] )]
				lowerCamelCase :			List[str]    		=[[0] * len(input_ids[0] )]
				lowerCamelCase :			Any    		=[0]
				lowerCamelCase :			str    		=DPRReaderOutput(__lowercase      ,  __lowercase      ,  __lowercase )

				lowerCamelCase		, lowerCamelCase :			Optional[int]    		=8, 9
				lowerCamelCase :			Optional[Any]    		=1_0
				lowerCamelCase :			List[str]    		=1_0
				lowerCamelCase :			Tuple    		=tokenizer.decode_best_spans(__lowercase      ,  __lowercase )
				self.assertEqual(predicted_spans[0].start_index      ,  __lowercase )
				self.assertEqual(predicted_spans[0].end_index      ,  __lowercase )
				self.assertEqual(predicted_spans[0].doc_id      ,  0 )







		@slow
		def       __lowercase (		self )					-> Tuple:
				lowerCamelCase :			List[Any]    		=self.tokenizer_class.from_pretrained('''bert-base-uncased''' )

				lowerCamelCase :			Optional[int]    		=tokenizer.encode('''question sequence'''      ,  add_special_tokens=__lowercase )
				lowerCamelCase :			str    		=tokenizer.encode('''title sequence'''      ,  add_special_tokens=__lowercase )
				lowerCamelCase :			Any    		=tokenizer.encode('''text sequence'''      ,  add_special_tokens=__lowercase )
				lowerCamelCase :			Optional[int]    		=[1_0_1] + text_a + [1_0_2] + text_a + [1_0_2] + text_a
				lowerCamelCase :			Union[str, Any]    		=tokenizer(questions=['''question sequence''']      ,  titles=['''title sequence''']      ,  texts=['''text sequence'''] )
				self.assertIn('''input_ids'''      ,  __lowercase )
				self.assertIn('''attention_mask'''      ,  __lowercase )
				self.assertListEqual(encoded_input['''input_ids'''][0]      ,  __lowercase )








import pytest

from datasets.utils.version import Version


@pytest.mark.parametrize(
    '''other, expected_equality'''				,							[
        (Version('''1.0.0'''		), True),
        ('''1.0.0''', True),
        (Version('''2.0.0'''		), False),
        ('''2.0.0''', False),
        ('''1''', False),
        ('''a''', False),
        (1, False),
        (None, False),
    ]				,							)
def        A__						(							SCREAMING_SNAKE_CASE_				,							SCREAMING_SNAKE_CASE_		) ->  Optional[int]:
		lowerCamelCase :			str    		=Version('''1.0.0'''		)
		assert (version == other) is expected_equality
		assert (version != other) is not expected_equality
		assert (hash(SCREAMING_SNAKE_CASE_		) == hash(SCREAMING_SNAKE_CASE_		)) is expected_equality

