






'''simple docstring'''

import json
import os
from typing import Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


UpperCAmelCase__						:Optional[Any]          =			logging.get_logger(__name__)

UpperCAmelCase__						:List[Any]          =			{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

UpperCAmelCase__						:Optional[Any]          =			{
    """vocab_file""": {"""ctrl""": """https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json"""},
    """merges_file""": {"""ctrl""": """https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt"""},
}

UpperCAmelCase__						:str          =			{
    """ctrl""": 256,
}

UpperCAmelCase__						:str          =			{
    """Pregnancy""": 168_629,
    """Christianity""": 7_675,
    """Explain""": 106_423,
    """Fitness""": 63_440,
    """Saving""": 63_163,
    """Ask""": 27_171,
    """Ass""": 95_985,
    """Joke""": 163_509,
    """Questions""": 45_622,
    """Thoughts""": 49_605,
    """Retail""": 52_342,
    """Feminism""": 164_338,
    """Writing""": 11_992,
    """Atheism""": 192_263,
    """Netflix""": 48_616,
    """Computing""": 39_639,
    """Opinion""": 43_213,
    """Alone""": 44_967,
    """Funny""": 58_917,
    """Gaming""": 40_358,
    """Human""": 4_088,
    """India""": 1_331,
    """Joker""": 77_138,
    """Diet""": 36_206,
    """Legal""": 11_859,
    """Norman""": 4_939,
    """Tip""": 72_689,
    """Weight""": 52_343,
    """Movies""": 46_273,
    """Running""": 23_425,
    """Science""": 2_090,
    """Horror""": 37_793,
    """Confession""": 60_572,
    """Finance""": 12_250,
    """Politics""": 16_360,
    """Scary""": 191_985,
    """Support""": 12_654,
    """Technologies""": 32_516,
    """Teenage""": 66_160,
    """Event""": 32_769,
    """Learned""": 67_460,
    """Notion""": 182_770,
    """Wikipedia""": 37_583,
    """Books""": 6_665,
    """Extract""": 76_050,
    """Confessions""": 102_701,
    """Conspiracy""": 75_932,
    """Links""": 63_674,
    """Narcissus""": 150_425,
    """Relationship""": 54_766,
    """Relationships""": 134_796,
    """Reviews""": 41_671,
    """News""": 4_256,
    """Translation""": 26_820,
    """multilingual""": 128_406,
}
def     __lowercase  (_lowercase     )   ->     str:


     """simple docstring"""
     __lowerCamelCase						:       str				   =				set()
     __lowerCamelCase						:       List[str]				   =				word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)     )
          __lowerCamelCase						:       Optional[Any]				   =				char

     __lowerCamelCase						:       Optional[Any]				   =				set(_lowercase     )
     return pairs







class 	SCREAMING_SNAKE_CASE	(      lowerCAmelCase_  ):
       snake_case__    :     List[str]   		=			VOCAB_FILES_NAMES
       snake_case__    :     Optional[int]   		=			PRETRAINED_VOCAB_FILES_MAP
       snake_case__    :     int   		=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       snake_case__    :     Optional[int]   		=			CONTROL_CODES




       def __init__(					self      : Dict	,    A__      : Dict	,    A__      : List[Any]	,    A__      : Tuple="<unk>"	,    **A__      : Tuple					):


            """simple docstring"""







            super().__init__(unk_token=A__	,    **A__					)

            with open(A__	,    encoding="""utf-8"""					) as vocab_handle:
                 __lowerCamelCase						:       Union[str, Any]				   =				json.load(A__					)
            __lowerCamelCase						:       List[Any]				   =				{v: k for k, v in self.encoder.items()}
            with open(A__	,    encoding="""utf-8"""					) as merges_handle:
                 __lowerCamelCase						:       Tuple				   =				merges_handle.read().split("""\n"""					)[1:-1]
            __lowerCamelCase						:       Optional[Any]				   =				[tuple(merge.split()					) for merge in merges]
            __lowerCamelCase						:       Optional[int]				   =				dict(zip(A__	,    range(len(A__					)					)					)					)
            __lowerCamelCase						:       List[Any]				   =				{}




       @property
       def 					a_					(					self      : List[Any]					):


            """simple docstring"""







            return len(self.encoder					)




       def 					a_					(					self      : Tuple					):


            """simple docstring"""







            return dict(self.encoder	,    **self.added_tokens_encoder					)




       def 					a_					(					self      : List[str]	,    A__      : Tuple					):


            """simple docstring"""







            if token in self.cache:
                 return self.cache[token]
            __lowerCamelCase						:       List[Any]				   =				tuple(A__					)
            __lowerCamelCase						:       Optional[Any]				   =				tuple(list(word[:-1]					) + [word[-1] + """</w>"""]					)
            __lowerCamelCase						:       List[Any]				   =				get_pairs(A__					)

            if not pairs:
                 return token

            while True:
                 __lowerCamelCase						:       List[Any]				   =				min(A__	,    key=lambda A__					: self.bpe_ranks.get(A__	,    float("""inf"""					)					)					)
                 if bigram not in self.bpe_ranks:
                      break
                 __lowerCamelCase   ,      __lowerCamelCase						:       List[str]				   =				bigram
                 __lowerCamelCase						:       Any				   =				[]
                 __lowerCamelCase						:       List[str]				   =				0
                 while i < len(A__					):
                      try:
                           __lowerCamelCase						:       List[Any]				   =				word.index(A__	,    A__					)
                      except ValueError:
                           new_word.extend(word[i:]					)
                           break
                      else:
                           new_word.extend(word[i:j]					)
                           __lowerCamelCase						:       int				   =				j

                      if word[i] == first and i < len(A__					) - 1 and word[i + 1] == second:
                           new_word.append(first + second					)
                           i += 2
                      else:
                           new_word.append(word[i]					)
                           i += 1
                 __lowerCamelCase						:       Tuple				   =				tuple(A__					)
                 __lowerCamelCase						:       Union[str, Any]				   =				new_word
                 if len(A__					) == 1:
                      break
                 else:
                      __lowerCamelCase						:       Any				   =				get_pairs(A__					)
            __lowerCamelCase						:       Union[str, Any]				   =				"""@@ """.join(A__					)
            __lowerCamelCase						:       Optional[Any]				   =				word[:-4]
            __lowerCamelCase						:       Tuple				   =				word
            return word




       def 					a_					(					self      : List[Any]	,    A__      : str					):


            """simple docstring"""







            __lowerCamelCase						:       List[Any]				   =				[]

            __lowerCamelCase						:       Union[str, Any]				   =				re.findall(r"""\S+\n?"""	,    A__					)

            for token in words:
                 split_tokens.extend(list(self.bpe(A__					).split(""" """					)					)					)
            return split_tokens




       def 					a_					(					self      : Dict	,    A__      : int					):


            """simple docstring"""







            return self.encoder.get(A__	,    self.encoder.get(self.unk_token					)					)




       def 					a_					(					self      : Optional[int]	,    A__      : List[Any]					):


            """simple docstring"""







            return self.decoder.get(A__	,    self.unk_token					)




       def 					a_					(					self      : Any	,    A__      : str					):


            """simple docstring"""







            __lowerCamelCase						:       Tuple				   =				""" """.join(A__					).replace("""@@ """	,    """"""					).strip()
            return out_string




       def 					a_					(					self      : List[Any]	,    A__      : str	,    A__      : Optional[str] = None					):


            """simple docstring"""







            if not os.path.isdir(A__					):
                 logger.error(f"Vocabulary path ({save_directory}) should be a directory"					)
                 return
            __lowerCamelCase						:       List[str]				   =				os.path.join(
                A__	,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]					)
            __lowerCamelCase						:       Dict				   =				os.path.join(
                A__	,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]					)

            with open(A__	,    """w"""	,    encoding="""utf-8"""					) as f:
                 f.write(json.dumps(self.encoder	,    indent=2	,    sort_keys=A__	,    ensure_ascii=A__					) + """\n"""					)

            __lowerCamelCase						:       Tuple				   =				0
            with open(A__	,    """w"""	,    encoding="""utf-8"""					) as writer:
                 writer.write("""#version: 0.2\n"""					)
                 for bpe_tokens, token_index in sorted(self.bpe_ranks.items()	,    key=lambda A__					: kv[1]					):
                      if index != token_index:
                           logger.warning(
                               f"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
                               """ Please check that the tokenizer is not corrupted!"""					)
                           __lowerCamelCase						:       Tuple				   =				token_index
                      writer.write(""" """.join(A__					) + """\n"""					)
                      index += 1

            return vocab_file, merge_file

       # def decode(self, token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=True):
       #     filtered_tokens = ' '.join(self.convert_ids_to_tokens(token_ids, skip_special_tokens=skip_special_tokens))
       #     tokens_generated_so_far = re.sub('(@@ )', '', string=filtered_tokens)
       #     tokens_generated_so_far = re.sub('(@@ ?$)', '', string=tokens_generated_so_far)
       #     return ''.join(tokens_generated_so_far)











'''simple docstring'''

import argparse
import json

from tqdm import tqdm
def     __lowercase  ()   ->     Tuple:


     """simple docstring"""
     __lowerCamelCase						:       Union[str, Any]				   =				argparse.ArgumentParser()

     # Required parameters
     parser.add_argument(
         """--src_path""",						type=_lowercase,						default="""biencoder-nq-dev.json""",						help="""Path to raw DPR training data""",						)
     parser.add_argument(
         """--evaluation_set""",						type=_lowercase,						help="""where to store parsed evaluation_set file""",						)
     parser.add_argument(
         """--gold_data_path""",						type=_lowercase,						help="""where to store parsed gold_data_path file""",						)
     __lowerCamelCase						:       Tuple				   =				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:
          __lowerCamelCase						:       int				   =				json.load(_lowercase     )
          for dpr_record in tqdm(_lowercase     ):
               __lowerCamelCase						:       List[Any]				   =				dpr_record["""question"""]
               __lowerCamelCase						:       List[str]				   =				[context["""title"""] for context in dpr_record["""positive_ctxs"""]]
               eval_file.write(question + """\n"""     )
               gold_file.write("""\t""".join(_lowercase     ) + """\n"""     )


if __name__ == "__main__":
   main()



