


import warnings
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase           =		logging.get_logger(__name__)





class       A    (   a_ ):
							UpperCamelCase_   :							int       =["input_ids", "attention_mask"]


							def __init__(self      ,				lowerCAmelCase="</s>"      ,				lowerCAmelCase="<unk>"      ,				lowerCAmelCase="<pad>"      ,				lowerCAmelCase=1_2_5      ,				lowerCAmelCase=None      ,				**lowerCAmelCase      ,				):
									# Add extra_ids to the special token list
									if extra_ids > 0 and additional_special_tokens is None:
											__lowercase=			[f'<extra_id_{i}>' for i in range(_lowerCamelCase					)]
									elif extra_ids > 0 and additional_special_tokens is not None:
											# Check that we have the right number of extra_id special tokens
											__lowercase=			len(set(filter(lambda lowerCAmelCase					: bool('extra_id' in str(_lowerCamelCase					)					)      ,				_lowerCamelCase					)					)					)
											if extra_tokens != extra_ids:
													raise ValueError(
													    f'Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are'
													    ' provided to ByT5Tokenizer. In this case the additional_special_tokens must include the'
													    ' extra_ids tokens'					)

									__lowercase=			AddedToken(_lowerCamelCase      ,				lstrip=_lowerCamelCase      ,				rstrip=_lowerCamelCase					) if isinstance(_lowerCamelCase      ,				_lowerCamelCase					) else pad_token
									__lowercase=			AddedToken(_lowerCamelCase      ,				lstrip=_lowerCamelCase      ,				rstrip=_lowerCamelCase					) if isinstance(_lowerCamelCase      ,				_lowerCamelCase					) else eos_token
									__lowercase=			AddedToken(_lowerCamelCase      ,				lstrip=_lowerCamelCase      ,				rstrip=_lowerCamelCase					) if isinstance(_lowerCamelCase      ,				_lowerCamelCase					) else unk_token

									super().__init__(
									    eos_token=_lowerCamelCase      ,				unk_token=_lowerCamelCase      ,				pad_token=_lowerCamelCase      ,				extra_ids=_lowerCamelCase      ,				additional_special_tokens=_lowerCamelCase      ,				**_lowerCamelCase      ,				)

									__lowercase=			extra_ids

									__lowercase=			2**8  # utf is 8 bits

									# define special tokens dict
									__lowercase=			{
									    self.pad_token: 0,
									    self.eos_token: 1,
									    self.unk_token: 2,
									}
									__lowercase=			len(self.special_tokens_encoder					)
									__lowercase=			len(_lowerCamelCase					)
									for i, token in enumerate(_lowerCamelCase					):
											__lowercase=			self.vocab_size + i - n
									__lowercase=			{v: k for k, v in self.special_tokens_encoder.items()}


							@property
							def 			_A       (self					):
									return self._utf_vocab_size + self._num_special_tokens + self._extra_ids


							def 			_A       (self      ,				lowerCAmelCase      ,				lowerCAmelCase = None      ,				lowerCAmelCase = False					):
									if already_has_special_tokens:
											return super().get_special_tokens_mask(
											    token_ids_a=_lowerCamelCase      ,				token_ids_a=_lowerCamelCase      ,				already_has_special_tokens=_lowerCamelCase					)

									# normal case: some special tokens
									if token_ids_a is None:
											return ([0] * len(_lowerCamelCase					)) + [1]
									return ([0] * len(_lowerCamelCase					)) + [1] + ([0] * len(_lowerCamelCase					)) + [1]


							def 			_A       (self      ,				lowerCAmelCase					):
									if len(_lowerCamelCase					) > 0 and token_ids[-1] == self.eos_token_id:
											warnings.warn(
											    f'This sequence already has {self.eos_token}. In future versions this behavior may lead to duplicated'
											    ' eos tokens being added.'					)
											return token_ids
									else:
											return token_ids + [self.eos_token_id]


							def 			_A       (self      ,				lowerCAmelCase      ,				lowerCAmelCase = None					):
									__lowercase=			[self.eos_token_id]

									if token_ids_a is None:
											return len(token_ids_a + eos					) * [0]
									return len(token_ids_a + eos + token_ids_a + eos					) * [0]


							def 			_A       (self      ,				lowerCAmelCase      ,				lowerCAmelCase = None					):
									__lowercase=			self._add_eos_if_not_present(_lowerCamelCase					)
									if token_ids_a is None:
											return token_ids_a
									else:
											__lowercase=			self._add_eos_if_not_present(_lowerCamelCase					)
											return token_ids_a + token_ids_a


							def 			_A       (self      ,				lowerCAmelCase					):
									__lowercase=			[chr(_lowerCamelCase					) for i in text.encode('utf-8'					)]
									return tokens


							def 			_A       (self      ,				lowerCAmelCase					):
									if token in self.special_tokens_encoder:
											__lowercase=			self.special_tokens_encoder[token]
									elif token in self.added_tokens_encoder:
											__lowercase=			self.added_tokens_encoder[token]
									elif len(_lowerCamelCase					) != 1:
											__lowercase=			self.unk_token_id
									else:
											__lowercase=			ord(_lowerCamelCase					) + self._num_special_tokens
									return token_id


							def 			_A       (self      ,				lowerCAmelCase					):
									if index in self.special_tokens_decoder:
											__lowercase=			self.special_tokens_decoder[index]
									else:
											__lowercase=			chr(index - self._num_special_tokens					)
									return token


							def 			_A       (self      ,				lowerCAmelCase					):
									__lowercase=			B''
									for token in tokens:
											if token in self.special_tokens_decoder:
													__lowercase=			self.special_tokens_decoder[token].encode('utf-8'					)
											elif token in self.added_tokens_decoder:
													__lowercase=			self.special_tokens_decoder[token].encode('utf-8'					)
											elif token in self.special_tokens_encoder:
													__lowercase=			token.encode('utf-8'					)
											elif token in self.added_tokens_encoder:
													__lowercase=			token.encode('utf-8'					)
											else:
													__lowercase=			bytes([ord(_lowerCamelCase					)]					)
											bstring += tok_string
									__lowercase=			bstring.decode('utf-8'      ,				errors='ignore'					)
									return string







							def 			_A       (self      ,				lowerCAmelCase      ,				lowerCAmelCase = None					):
									return ()














"""simple docstring"""



import argparse
import json

from tqdm import tqdm
def 						_SCREAMING_SNAKE_CASE (    ):





  '''simple docstring'''





  lowercase							    =       argparse.ArgumentParser()

  # Required parameters
  parser.add_argument(
      '--src_path'		,					type=__snake_case		,					default='biencoder-nq-dev.json'		,					help='Path to raw DPR training data'		,					)
  parser.add_argument(
      '--evaluation_set'		,					type=__snake_case		,					help='where to store parsed evaluation_set file'		,					)
  parser.add_argument(
      '--gold_data_path'		,					type=__snake_case		,					help='where to store parsed gold_data_path file'		,					)
  lowercase							    =       parser.parse_args()

  with open(args.src_path		,					'r'    ) as src_file, open(args.evaluation_set		,					'w'    ) as eval_file, open(
      args.gold_data_path		,					'w'    ) as gold_file:
    lowercase							    =       json.load(__snake_case    )
    for dpr_record in tqdm(__snake_case    ):
      lowercase							    =       dpr_record['question']
      lowercase							    =       [context['title'] for context in dpr_record['positive_ctxs']]
      eval_file.write(question + '\n'    )
      gold_file.write('\t'.join(__snake_case    ) + '\n'    )


if __name__ == "__main__":
    main()


