
import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

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


lowerCamelCase_				:							int       =    logging.get_logger(__name__)


lowerCamelCase_				:							Tuple       =    {"vocab_file": "vocab.json", "merges_file": "merges.txt"}

# See all MVP models at https://huggingface.co/models?filter=mvp
lowerCamelCase_				:							Tuple       =    {
    "vocab_file": {
        "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json",
    },
    "added_tokens.json": {
        "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json",
    },
    "merges_file": {
        "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt",
    },
}

lowerCamelCase_				:							Optional[int]       =    {
    "RUCAIBox/mvp": 1_024,
}
@lru_cache()
def        __lowercase(							)       ->   int:
       __snake_case						       =   (
           list(range(ord('!'					)    ,ord('~'					) + 1					)					) + list(range(ord('¡'					)    ,ord('¬'					) + 1					)					) + list(range(ord('®'					)    ,ord('ÿ'					) + 1					)					)
       )
       __snake_case						       =   bs[:]
       __snake_case						       =   0
       for b in range(2**8					):
              if b not in bs:
                     bs.append(__snake_case					)
                     cs.append(2**8 + n					)
                     n += 1
       __snake_case						       =   [chr(__snake_case					) for n in cs]
       return dict(zip(__snake_case    ,__snake_case					)					)
def        __lowercase(							__snake_case				:		Tuple					)       ->   str:
       __snake_case						       =   set()
       __snake_case						       =   word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)					)
              __snake_case						       =   char
       return pairs







class  _lowerCamelCase			(lowerCamelCase					):
     lowercase__				  =			VOCAB_FILES_NAMES
     lowercase__				  =			PRETRAINED_VOCAB_FILES_MAP
     lowercase__				  =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     lowercase__				  =			["""input_ids""", """attention_mask"""]

     def __init__(  self							,       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_="replace"							,       SCREAMING_SNAKE_CASE_="<s>"							,       SCREAMING_SNAKE_CASE_="</s>"							,       SCREAMING_SNAKE_CASE_="</s>"							,       SCREAMING_SNAKE_CASE_="<s>"							,       SCREAMING_SNAKE_CASE_="<unk>"							,       SCREAMING_SNAKE_CASE_="<pad>"							,       SCREAMING_SNAKE_CASE_="<mask>"							,       SCREAMING_SNAKE_CASE_=False							,       **SCREAMING_SNAKE_CASE_							,       ):
            __snake_case						       =   AddedToken(SCREAMING_SNAKE_CASE_							,       lstrip=SCREAMING_SNAKE_CASE_							,       rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_    ) else bos_token
            __snake_case						       =   AddedToken(SCREAMING_SNAKE_CASE_							,       lstrip=SCREAMING_SNAKE_CASE_							,       rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_    ) else eos_token
            __snake_case						       =   AddedToken(SCREAMING_SNAKE_CASE_							,       lstrip=SCREAMING_SNAKE_CASE_							,       rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_    ) else sep_token
            __snake_case						       =   AddedToken(SCREAMING_SNAKE_CASE_							,       lstrip=SCREAMING_SNAKE_CASE_							,       rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_    ) else cls_token
            __snake_case						       =   AddedToken(SCREAMING_SNAKE_CASE_							,       lstrip=SCREAMING_SNAKE_CASE_							,       rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_    ) else unk_token
            __snake_case						       =   AddedToken(SCREAMING_SNAKE_CASE_							,       lstrip=SCREAMING_SNAKE_CASE_							,       rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_    ) else pad_token

            # Mask token behave like a normal word, i.e. include the space before it
            __snake_case						       =   AddedToken(SCREAMING_SNAKE_CASE_							,       lstrip=SCREAMING_SNAKE_CASE_							,       rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_    ) else mask_token

            super().__init__(
                errors=SCREAMING_SNAKE_CASE_							,       bos_token=SCREAMING_SNAKE_CASE_							,       eos_token=SCREAMING_SNAKE_CASE_							,       unk_token=SCREAMING_SNAKE_CASE_							,       sep_token=SCREAMING_SNAKE_CASE_							,       cls_token=SCREAMING_SNAKE_CASE_							,       pad_token=SCREAMING_SNAKE_CASE_							,       mask_token=SCREAMING_SNAKE_CASE_							,       add_prefix_space=SCREAMING_SNAKE_CASE_							,       **SCREAMING_SNAKE_CASE_							,       )
            with open(SCREAMING_SNAKE_CASE_							,       encoding='utf-8'    ) as vocab_handle:
                   __snake_case						       =   json.load(SCREAMING_SNAKE_CASE_    )
            __snake_case						       =   {v: k for k, v in self.encoder.items()}
            __snake_case						       =   errors  # how to handle errors in decoding
            __snake_case						       =   bytes_to_unicode()
            __snake_case						       =   {v: k for k, v in self.byte_encoder.items()}
            with open(SCREAMING_SNAKE_CASE_							,       encoding='utf-8'    ) as merges_handle:
                   __snake_case						       =   merges_handle.read().split('\n'    )[1:-1]
            __snake_case						       =   [tuple(merge.split()    ) for merge in bpe_merges]
            __snake_case						       =   dict(zip(SCREAMING_SNAKE_CASE_							,       range(len(SCREAMING_SNAKE_CASE_    )    )    )    )
            __snake_case						       =   {}
            __snake_case						       =   add_prefix_space

            # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
            __snake_case						       =   re.compile(r'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'    )

     @property
     def 						__lowerCamelCase				(  self    ):
            return len(self.encoder    )

     def 						__lowerCamelCase				(  self    ):
            return dict(self.encoder							,       **self.added_tokens_encoder    )

     def 						__lowerCamelCase				(  self							,       SCREAMING_SNAKE_CASE_    ):
            if token in self.cache:
                   return self.cache[token]
            __snake_case						       =   tuple(SCREAMING_SNAKE_CASE_    )
            __snake_case						       =   get_pairs(SCREAMING_SNAKE_CASE_    )

            if not pairs:
                   return token

            while True:
                   __snake_case						       =   min(SCREAMING_SNAKE_CASE_							,       key=lambda SCREAMING_SNAKE_CASE_    : self.bpe_ranks.get(SCREAMING_SNAKE_CASE_							,       float('inf'    )    )    )
                   if bigram not in self.bpe_ranks:
                          break
                   __snake_case       ,       __snake_case						       =   bigram
                   __snake_case						       =   []
                   __snake_case						       =   0
                   while i < len(SCREAMING_SNAKE_CASE_    ):
                          try:
                                 __snake_case						       =   word.index(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_    )
                          except ValueError:
                                 new_word.extend(word[i:]    )
                                 break
                          else:
                                 new_word.extend(word[i:j]    )
                                 __snake_case						       =   j

                          if word[i] == first and i < len(SCREAMING_SNAKE_CASE_    ) - 1 and word[i + 1] == second:
                                 new_word.append(first + second    )
                                 i += 2
                          else:
                                 new_word.append(word[i]    )
                                 i += 1
                   __snake_case						       =   tuple(SCREAMING_SNAKE_CASE_    )
                   __snake_case						       =   new_word
                   if len(SCREAMING_SNAKE_CASE_    ) == 1:
                          break
                   else:
                          __snake_case						       =   get_pairs(SCREAMING_SNAKE_CASE_    )
            __snake_case						       =   ' '.join(SCREAMING_SNAKE_CASE_    )
            __snake_case						       =   word
            return word

     def 						__lowerCamelCase				(  self							,       SCREAMING_SNAKE_CASE_    ):
            __snake_case						       =   []
            for token in re.findall(self.pat							,       SCREAMING_SNAKE_CASE_    ):
                   __snake_case						       =   ''.join(
                       self.byte_encoder[b] for b in token.encode('utf-8'    )    )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
                   bpe_tokens.extend(bpe_token for bpe_token in self.bpe(SCREAMING_SNAKE_CASE_    ).split(' '    )    )
            return bpe_tokens

     def 						__lowerCamelCase				(  self							,       SCREAMING_SNAKE_CASE_    ):
            return self.encoder.get(SCREAMING_SNAKE_CASE_							,       self.encoder.get(self.unk_token    )    )

     def 						__lowerCamelCase				(  self							,       SCREAMING_SNAKE_CASE_    ):
            return self.decoder.get(SCREAMING_SNAKE_CASE_    )

     def 						__lowerCamelCase				(  self							,       SCREAMING_SNAKE_CASE_    ):
            __snake_case						       =   ''.join(SCREAMING_SNAKE_CASE_    )
            __snake_case						       =   bytearray([self.byte_decoder[c] for c in text]    ).decode('utf-8'							,       errors=self.errors    )
            return text

     def 						__lowerCamelCase				(  self							,       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_ = None    ):
            if not os.path.isdir(SCREAMING_SNAKE_CASE_    ):
                   logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''    )
                   return
            __snake_case						       =   os.path.join(
                SCREAMING_SNAKE_CASE_							,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']    )
            __snake_case						       =   os.path.join(
                SCREAMING_SNAKE_CASE_							,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']    )

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

            __snake_case						       =   0
            with open(SCREAMING_SNAKE_CASE_							,       '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 SCREAMING_SNAKE_CASE_    : 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!'    )
                                 __snake_case						       =   token_index
                          writer.write(' '.join(SCREAMING_SNAKE_CASE_    ) + '\n'    )
                          index += 1

            return vocab_file, merge_file

     def 						__lowerCamelCase				(  self							,       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_ = None    ):
            if token_ids_a is None:
                   return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
            __snake_case						       =   [self.cls_token_id]
            __snake_case						       =   [self.sep_token_id]
            return cls + token_ids_a + sep + sep + token_ids_a + sep

     def 						__lowerCamelCase				(  self							,       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_ = None							,       SCREAMING_SNAKE_CASE_ = False    ):
            if already_has_special_tokens:
                   return super().get_special_tokens_mask(
                       token_ids_a=SCREAMING_SNAKE_CASE_							,       token_ids_a=SCREAMING_SNAKE_CASE_							,       already_has_special_tokens=SCREAMING_SNAKE_CASE_    )

            if token_ids_a is None:
                   return [1] + ([0] * len(SCREAMING_SNAKE_CASE_    )) + [1]
            return [1] + ([0] * len(SCREAMING_SNAKE_CASE_    )) + [1, 1] + ([0] * len(SCREAMING_SNAKE_CASE_    )) + [1]

     def 						__lowerCamelCase				(  self							,       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_ = None    ):
            __snake_case						       =   [self.sep_token_id]
            __snake_case						       =   [self.cls_token_id]

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

     def 						__lowerCamelCase				(  self							,       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_=False							,       **SCREAMING_SNAKE_CASE_    ):
            __snake_case						       =   kwargs.pop('add_prefix_space'							,       self.add_prefix_space    )
            if (is_split_into_words or add_prefix_space) and (len(SCREAMING_SNAKE_CASE_    ) > 0 and not text[0].isspace()):
                   __snake_case						       =   ' ' + text
            return (text, kwargs)


import argparse

from transformers import ConvBertConfig, ConvBertModel, TFConvBertModel, load_tf_weights_in_convbert
from transformers.utils import logging


logging.set_verbosity_info()
def        __lowercase(							__snake_case				:		Dict    ,__snake_case				:		List[str]    ,__snake_case				:		List[Any]					)       ->   str:
       __snake_case						       =   ConvBertConfig.from_json_file(__snake_case					)
       __snake_case						       =   ConvBertModel(__snake_case					)

       __snake_case						       =   load_tf_weights_in_convbert(__snake_case    ,__snake_case    ,__snake_case					)
       model.save_pretrained(__snake_case					)

       __snake_case						       =   TFConvBertModel.from_pretrained(__snake_case    ,from_pt=__snake_case					)
       tf_model.save_pretrained(__snake_case					)


if __name__ == "__main__":
 lowerCamelCase_				:							List[Any]       =    argparse.ArgumentParser()
 # Required parameters
 parser.add_argument(
     "--tf_checkpoint_path", default=None, type=str, required=True, help="Path to the TensorFlow checkpoint path."
 )
 parser.add_argument(
     "--convbert_config_file",
     default=None,
     type=str,
     required=True,
     help=(
         "The config json file corresponding to the pre-trained ConvBERT model. \n"
         "This specifies the model architecture."
     ),
 )
 parser.add_argument(
     "--pytorch_dump_path", default=None, type=str, required=True, help="Path to the output PyTorch model."
 )
 lowerCamelCase_				:							Union[str, Any]       =    parser.parse_args()
 convert_orig_tfa_checkpoint_to_pytorch(args.tf_checkpoint_path, args.convbert_config_file, args.pytorch_dump_path)
