




import json
import os
from typing import Optional, Tuple

import regex as re

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


_lowerCamelCase      :						Dict							=  logging.get_logger(__name__)

_lowerCamelCase      :						Union[str, Any]							=  {
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

_lowerCamelCase      :						Tuple							=  {
    """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"""},
}

_lowerCamelCase      :						Optional[int]							=  {
    """ctrl""": 256,
}

_lowerCamelCase      :						Tuple							=  {
    """Pregnancy""": 168629,
    """Christianity""": 7675,
    """Explain""": 106423,
    """Fitness""": 63440,
    """Saving""": 63163,
    """Ask""": 27171,
    """Ass""": 95985,
    """Joke""": 163509,
    """Questions""": 45622,
    """Thoughts""": 49605,
    """Retail""": 52342,
    """Feminism""": 164338,
    """Writing""": 11992,
    """Atheism""": 192263,
    """Netflix""": 48616,
    """Computing""": 39639,
    """Opinion""": 43213,
    """Alone""": 44967,
    """Funny""": 58917,
    """Gaming""": 40358,
    """Human""": 4088,
    """India""": 1331,
    """Joker""": 77138,
    """Diet""": 36206,
    """Legal""": 11859,
    """Norman""": 4939,
    """Tip""": 72689,
    """Weight""": 52343,
    """Movies""": 46273,
    """Running""": 23425,
    """Science""": 2090,
    """Horror""": 37793,
    """Confession""": 60572,
    """Finance""": 12250,
    """Politics""": 16360,
    """Scary""": 191985,
    """Support""": 12654,
    """Technologies""": 32516,
    """Teenage""": 66160,
    """Event""": 32769,
    """Learned""": 67460,
    """Notion""": 182770,
    """Wikipedia""": 37583,
    """Books""": 6665,
    """Extract""": 76050,
    """Confessions""": 102701,
    """Conspiracy""": 75932,
    """Links""": 63674,
    """Narcissus""": 150425,
    """Relationship""": 54766,
    """Relationships""": 134796,
    """Reviews""": 41671,
    """News""": 4256,
    """Translation""": 26820,
    """multilingual""": 128406,
}







def SCREAMING_SNAKE_CASE							(			lowercase_		)  ->			Tuple:



       """simple docstring"""

       A__ 					=       set()
       A__ 					=       word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)		)
              A__ 					=       char

       A__ 					=       set(lowercase_		)
       return pairs


class 							UpperCamelCase_       (					UpperCAmelCase__	):

    '''simple docstring'''






    UpperCAmelCase__				    = VOCAB_FILES_NAMES
    UpperCAmelCase__				    = PRETRAINED_VOCAB_FILES_MAP
    UpperCAmelCase__				    = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    UpperCAmelCase__				    = CONTROL_CODES


    def __init__(     self :      Optional[int]   ,					UpperCAmelCase__ :      Union[str, Any]   ,					UpperCAmelCase__ :      str   ,					UpperCAmelCase__ :      Union[str, Any]="<unk>"   ,					**UpperCAmelCase__ :      Any)		->Dict:





           '''simple docstring'''

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

           with open(UpperCAmelCase__   ,					encoding='''utf-8''') as vocab_handle:
                  A__ 					=       json.load(UpperCAmelCase__)
           A__ 					=       {v: k for k, v in self.encoder.items()}
           with open(UpperCAmelCase__   ,					encoding='''utf-8''') as merges_handle:
                  A__ 					=       merges_handle.read().split('''\n''')[1:-1]
           A__ 					=       [tuple(merge.split()) for merge in merges]
           A__ 					=       dict(zip(UpperCAmelCase__   ,					range(len(UpperCAmelCase__))))
           A__ 					=       {}


    @property
    def 			SCREAMING_SNAKE_CASE				(     self :      str)		->Tuple:





           '''simple docstring'''

           return len(self.encoder)


    def 			SCREAMING_SNAKE_CASE				(     self :      str)		->Tuple:





           '''simple docstring'''

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


    def 			SCREAMING_SNAKE_CASE				(     self :      Dict   ,					UpperCAmelCase__ :      str)		->Any:





           '''simple docstring'''

           if token in self.cache:
                  return self.cache[token]
           A__ 					=       tuple(UpperCAmelCase__)
           A__ 					=       tuple(list(word[:-1]) + [word[-1] + '''</w>'''])
           A__ 					=       get_pairs(UpperCAmelCase__)

           if not pairs:
                  return token

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

                         if word[i] == first and i < len(UpperCAmelCase__) - 1 and word[i + 1] == second:
                                new_word.append(first + second)
                                i += 2
                         else:
                                new_word.append(word[i])
                                i += 1
                  A__ 					=       tuple(UpperCAmelCase__)
                  A__ 					=       new_word
                  if len(UpperCAmelCase__) == 1:
                         break
                  else:
                         A__ 					=       get_pairs(UpperCAmelCase__)
           A__ 					=       '''@@ '''.join(UpperCAmelCase__)
           A__ 					=       word[:-4]
           A__ 					=       word
           return word


    def 			SCREAMING_SNAKE_CASE				(     self :      str   ,					UpperCAmelCase__ :      Optional[Any])		->Any:





           '''simple docstring'''

           A__ 					=       []

           A__ 					=       re.findall(R'''\S+\n?'''   ,					UpperCAmelCase__)

           for token in words:
                  split_tokens.extend(list(self.bpe(UpperCAmelCase__).split(''' ''')))
           return split_tokens


    def 			SCREAMING_SNAKE_CASE				(     self :      Optional[int]   ,					UpperCAmelCase__ :      Tuple)		->Dict:





           '''simple docstring'''

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


    def 			SCREAMING_SNAKE_CASE				(     self :      Any   ,					UpperCAmelCase__ :      Optional[int])		->str:





           '''simple docstring'''

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


    def 			SCREAMING_SNAKE_CASE				(     self :      Tuple   ,					UpperCAmelCase__ :      Optional[Any])		->Optional[int]:





           '''simple docstring'''

           A__ 					=       ''' '''.join(UpperCAmelCase__).replace('''@@ '''   ,					'''''').strip()
           return out_string





    def 			SCREAMING_SNAKE_CASE				(     self :      Tuple   ,					UpperCAmelCase__ :      str   ,					UpperCAmelCase__ :      Optional[str] = None)		->Tuple[str]:





           '''simple docstring'''

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

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

           A__ 					=       0
           with open(UpperCAmelCase__   ,					'''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 UpperCAmelCase__: 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!''')
                                A__ 					=       token_index
                         writer.write(''' '''.join(UpperCAmelCase__) + '''\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)









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase							:       str					 =	{
    """configuration_pegasus_x""": ["""PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP""", """PegasusXConfig"""],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase							:       Optional[Any]					 =	[
							    """PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """PegasusXForConditionalGeneration""",
							    """PegasusXModel""",
							    """PegasusXPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_pegasus_x import PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusXConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_pegasus_x import (
														    PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST,
														    PegasusXForConditionalGeneration,
														    PegasusXModel,
														    PegasusXPreTrainedModel,
														)


else:
							import sys

							lowerCAmelCase							:       str					 =	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



