




"""simple docstring"""






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 					UpperCAmelCase		(lowerCamelCase__						):



    """simple docstring"""

    _UpperCAmelCase			:int							=				DPRContextEncoderTokenizer
    _UpperCAmelCase			:Optional[int]							=				DPRContextEncoderTokenizerFast
    _UpperCAmelCase			:List[Any]							=				True



@require_tokenizers
class 					UpperCAmelCase		(lowerCamelCase__						):



    """simple docstring"""

    _UpperCAmelCase			:List[Any]							=				DPRQuestionEncoderTokenizer
    _UpperCAmelCase			:Optional[int]							=				DPRQuestionEncoderTokenizerFast
    _UpperCAmelCase			:Dict							=				True



@require_tokenizers
class 					UpperCAmelCase		(lowerCamelCase__						):



    """simple docstring"""

    _UpperCAmelCase			:int							=				DPRReaderTokenizer
    _UpperCAmelCase			:str							=				DPRReaderTokenizerFast
    _UpperCAmelCase			:List[Any]							=				True






    @slow
    def _snake_case    (     self							):
       lowercase__:     List[str]      =   self.tokenizer_class.from_pretrained('''bert-base-uncased'''							)

       lowercase__:     Union[str, Any]      =   tokenizer.encode('''question sequence'''					,    add_special_tokens=SCREAMING_SNAKE_CASE_							)
       lowercase__:     Optional[int]      =   tokenizer.encode('''title sequence'''					,    add_special_tokens=SCREAMING_SNAKE_CASE_							)
       lowercase__:     int      =   tokenizer.encode('''text sequence ''' * 4					,    add_special_tokens=SCREAMING_SNAKE_CASE_							)
       lowercase__:     Optional[int]      =   [[101] + text_a + [102] + text_a + [102] + text_a]
       lowercase__:     Any      =   BatchEncoding({'''input_ids''': input_ids}							)

       lowercase__:     str      =   [[0] * len(input_ids[0]							)]
       lowercase__:     Tuple      =   [[0] * len(input_ids[0]							)]
       lowercase__:     List[Any]      =   [0]
       lowercase__:     int      =   DPRReaderOutput(SCREAMING_SNAKE_CASE_					,    SCREAMING_SNAKE_CASE_					,    SCREAMING_SNAKE_CASE_							)

       lowercase__,				lowercase__:     List[Any]      =   8, 9
       lowercase__:     Any      =   10
       lowercase__:     List[str]      =   10
       lowercase__:     Optional[int]      =   tokenizer.decode_best_spans(SCREAMING_SNAKE_CASE_					,    SCREAMING_SNAKE_CASE_							)
       self.assertEqual(predicted_spans[0].start_index					,    SCREAMING_SNAKE_CASE_							)
       self.assertEqual(predicted_spans[0].end_index					,    SCREAMING_SNAKE_CASE_							)
       self.assertEqual(predicted_spans[0].doc_id					,    0							)






    @slow
    def _snake_case    (     self							):
       lowercase__:     List[str]      =   self.tokenizer_class.from_pretrained('''bert-base-uncased'''							)

       lowercase__:     List[str]      =   tokenizer.encode('''question sequence'''					,    add_special_tokens=SCREAMING_SNAKE_CASE_							)
       lowercase__:     List[str]      =   tokenizer.encode('''title sequence'''					,    add_special_tokens=SCREAMING_SNAKE_CASE_							)
       lowercase__:     int      =   tokenizer.encode('''text sequence'''					,    add_special_tokens=SCREAMING_SNAKE_CASE_							)
       lowercase__:     Tuple      =   [101] + text_a + [102] + text_a + [102] + text_a
       lowercase__:     List[str]      =   tokenizer(questions=['''question sequence''']					,    titles=['''title sequence''']					,    texts=['''text sequence''']							)
       self.assertIn('''input_ids'''					,    SCREAMING_SNAKE_CASE_							)
       self.assertIn('''attention_mask'''					,    SCREAMING_SNAKE_CASE_							)
       self.assertListEqual(encoded_input['''input_ids'''][0]					,    SCREAMING_SNAKE_CASE_							)

"""simple docstring"""






def SCREAMING_SNAKE_CASE__    (     __UpperCAmelCase = 1_0_0_0				)						->						int:
   lowercase__:     Union[str, Any]      =   0
   lowercase__:     Any      =   0
   while 1:
      num += 3
      if num >= n:
         break
      total += num
      num += 2
      if num >= n:
         break
      total += num
      num += 1
      if num >= n:
         break
      total += num
      num += 3
      if num >= n:
         break
      total += num
      num += 1
      if num >= n:
         break
      total += num
      num += 2
      if num >= n:
         break
      total += num
      num += 3
      if num >= n:
         break
      total += num
   return total


if __name__ == "__main__":
       print(f'''{solution() = }''')
