





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

import regex as re

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


if TYPE_CHECKING:
      from transformers.pipelines.conversational import Conversation

__UpperCAmelCase			:  Any										=				logging.get_logger(__name__)

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

__UpperCAmelCase			:  str										=				{
    "vocab_file": {
        "gpt2": "https://huggingface.co/gpt2/resolve/main/vocab.json",
        "gpt2-medium": "https://huggingface.co/gpt2-medium/resolve/main/vocab.json",
        "gpt2-large": "https://huggingface.co/gpt2-large/resolve/main/vocab.json",
        "gpt2-xl": "https://huggingface.co/gpt2-xl/resolve/main/vocab.json",
        "distilgpt2": "https://huggingface.co/distilgpt2/resolve/main/vocab.json",
    },
    "merges_file": {
        "gpt2": "https://huggingface.co/gpt2/resolve/main/merges.txt",
        "gpt2-medium": "https://huggingface.co/gpt2-medium/resolve/main/merges.txt",
        "gpt2-large": "https://huggingface.co/gpt2-large/resolve/main/merges.txt",
        "gpt2-xl": "https://huggingface.co/gpt2-xl/resolve/main/merges.txt",
        "distilgpt2": "https://huggingface.co/distilgpt2/resolve/main/merges.txt",
    },
}

__UpperCAmelCase			:  Optional[int]										=				{
    "gpt2": 1_024,
    "gpt2-medium": 1_024,
    "gpt2-large": 1_024,
    "gpt2-xl": 1_024,
    "distilgpt2": 1_024,
}







@lru_cache()
def      A__				(       )  ->       Tuple:
  __snake_case:		Any					    =		(
      list(range(ord("""!""")   ,   ord("""~""") + 1)) + list(range(ord("""¡""")   ,   ord("""¬""") + 1)) + list(range(ord("""®""")   ,   ord("""ÿ""") + 1))
  )
  __snake_case:		Tuple					    =		bs[:]
  __snake_case:		int					    =		0
  for b in range(2**8):
    if b not in bs:
      bs.append(SCREAMING_SNAKE_CASE__)
      cs.append(2**8 + n)
      n += 1
  __snake_case:		str					    =		[chr(SCREAMING_SNAKE_CASE__) for n in cs]
  return dict(zip(SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__))







def      A__				(       SCREAMING_SNAKE_CASE__)  ->       Union[str, Any]:
  __snake_case:		Union[str, Any]					    =		set()
  __snake_case:		Dict					    =		word[0]
  for char in word[1:]:
    pairs.add((prev_char, char))
    __snake_case:		Optional[int]					    =		char
  return pairs







class        __snake_case			(				__lowerCamelCase     ):





       '''simple docstring'''







       lowerCAmelCase__ 						=	VOCAB_FILES_NAMES
       lowerCAmelCase__ 						=	PRETRAINED_VOCAB_FILES_MAP
       lowerCAmelCase__ 						=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       lowerCAmelCase__ 						=	["""input_ids""", """attention_mask"""]




       def __init__(    self					:       List[str]				,							A					:       Tuple				,							A					:       Dict				,							A					:       Union[str, Any]="replace"				,							A					:       int="<|endoftext|>"				,							A					:       str="<|endoftext|>"				,							A					:       List[str]="<|endoftext|>"				,							A					:       Any=None				,							A					:       int=False				,							A					:       List[Any]=False				,							**A					:       List[str]				,							):
         __snake_case:		Tuple					    =		AddedToken(A				,							lstrip=A				,							rstrip=A						) if isinstance(A				,							A						) else bos_token
         __snake_case:		Tuple					    =		AddedToken(A				,							lstrip=A				,							rstrip=A						) if isinstance(A				,							A						) else eos_token
         __snake_case:		int					    =		AddedToken(A				,							lstrip=A				,							rstrip=A						) if isinstance(A				,							A						) else unk_token
         __snake_case:		List[Any]					    =		AddedToken(A				,							lstrip=A				,							rstrip=A						) if isinstance(A				,							A						) else pad_token
         super().__init__(
             errors=A				,							unk_token=A				,							bos_token=A				,							eos_token=A				,							pad_token=A				,							add_prefix_space=A				,							add_bos_token=A				,							**A				,							)
         __snake_case:		Union[str, Any]					    =		add_bos_token

         with open(A				,							encoding="""utf-8"""						) as vocab_handle:
           __snake_case:		Union[str, Any]					    =		json.load(A						)
         __snake_case:		str					    =		{v: k for k, v in self.encoder.items()}
         __snake_case:		Optional[int]					    =		errors  # how to handle errors in decoding
         __snake_case:		List[Any]					    =		bytes_to_unicode()
         __snake_case:		List[Any]					    =		{v: k for k, v in self.byte_encoder.items()}
         with open(A				,							encoding="""utf-8"""						) as merges_handle:
           __snake_case:		Union[str, Any]					    =		merges_handle.read().split("""\n"""						)[1:-1]
         __snake_case:		Optional[int]					    =		[tuple(merge.split()						) for merge in bpe_merges]
         __snake_case:		Dict					    =		dict(zip(A				,							range(len(A						)						)						)						)
         __snake_case:		str					    =		{}
         __snake_case:		List[str]					    =		add_prefix_space

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




       @property
       def 				UpperCAmelCase__					(    self					:       Optional[int]						):
         return len(self.encoder						)




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




       def 				UpperCAmelCase__					(    self					:       str				,							A					:       str						):
         if token in self.cache:
           return self.cache[token]
         __snake_case:		str					    =		tuple(A						)
         __snake_case:		Tuple					    =		get_pairs(A						)

         if not pairs:
           return token

         while True:
           __snake_case:		Union[str, Any]					    =		min(A				,							key=lambda A						: self.bpe_ranks.get(A				,							float("""inf"""						)						)						)
           if bigram not in self.bpe_ranks:
             break
           __snake_case    ,  __snake_case:		List[Any]					    =		bigram
           __snake_case:		List[str]					    =		[]
           __snake_case:		List[str]					    =		0
           while i < len(A						):
             try:
               __snake_case:		str					    =		word.index(A				,							A						)
             except ValueError:
               new_word.extend(word[i:]						)
               break
             else:
               new_word.extend(word[i:j]						)
               __snake_case:		Tuple					    =		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
           __snake_case:		Union[str, Any]					    =		tuple(A						)
           __snake_case:		int					    =		new_word
           if len(A						) == 1:
             break
           else:
             __snake_case:		Dict					    =		get_pairs(A						)
         __snake_case:		Tuple					    =		""" """.join(A						)
         __snake_case:		List[str]					    =		word
         return word




       def 				UpperCAmelCase__					(    self					:       Union[str, Any]				,							A					:       Any				,							A					:       List[str]=None						):
         if self.add_bos_token:
           __snake_case:		Optional[int]					    =		[self.bos_token_id]
         else:
           __snake_case:		Union[str, Any]					    =		[]

         __snake_case:		List[Any]					    =		bos_token_ids + token_ids_a

         if token_ids_a is None:
           return output

         return output + bos_token_ids + token_ids_a




       def 				UpperCAmelCase__					(    self					:       Tuple				,							A					:       List[int]				,							A					:       Optional[List[int]] = None				,							A					:       bool = False						):
         if already_has_special_tokens:
           return super().get_special_tokens_mask(
               token_ids_a=A				,							token_ids_a=A				,							already_has_special_tokens=A						)

         if not self.add_bos_token:
           return super().get_special_tokens_mask(
               token_ids_a=A				,							token_ids_a=A				,							already_has_special_tokens=A						)

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




       def 				UpperCAmelCase__					(    self					:       int				,							A					:       Optional[int]						):
         __snake_case:		Union[str, Any]					    =		[]
         for token in re.findall(self.pat				,							A						):
           __snake_case:		List[Any]					    =		"""""".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(A						).split(""" """						)						)
         return bpe_tokens




       def 				UpperCAmelCase__					(    self					:       Tuple				,							A					:       Any						):
         return self.encoder.get(A				,							self.encoder.get(self.unk_token						)						)




       def 				UpperCAmelCase__					(    self					:       Optional[int]				,							A					:       List[str]						):
         return self.decoder.get(A						)




       def 				UpperCAmelCase__					(    self					:       Dict				,							A					:       List[Any]						):
         __snake_case:		Optional[int]					    =		"""""".join(A						)
         __snake_case:		Any					    =		bytearray([self.byte_decoder[c] for c in text]						).decode("""utf-8"""				,							errors=self.errors						)
         return text




       def 				UpperCAmelCase__					(    self					:       List[str]				,							A					:       str				,							A					:       Optional[str] = None						):
         if not os.path.isdir(A						):
           logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''						)
           return
         __snake_case:		Union[str, Any]					    =		os.path.join(
             A				,							(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]						)
         __snake_case:		Optional[Any]					    =		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"""						)

         __snake_case:		Dict					    =		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!"""						)
               __snake_case:		List[str]					    =		token_index
             writer.write(""" """.join(A						) + """\n"""						)
             index += 1

         return vocab_file, merge_file




       def 				UpperCAmelCase__					(    self					:       Optional[Any]				,							A					:       Any				,							A					:       List[Any]=False				,							**A					:       Dict						):
         __snake_case:		Dict					    =		kwargs.pop("""add_prefix_space"""				,							self.add_prefix_space						)
         if is_split_into_words or add_prefix_space:
           __snake_case:		Any					    =		""" """ + text
         return (text, kwargs)






       def 				UpperCAmelCase__					(    self					:       List[str]				,							A					:       "Conversation"						):
         __snake_case:		Union[str, Any]					    =		[]
         for is_user, text in conversation.iter_texts():
           input_ids.extend(self.encode(A				,							add_special_tokens=A						) + [self.eos_token_id]						)
         if len(A						) > self.model_max_length:
           __snake_case:		Optional[int]					    =		input_ids[-self.model_max_length :]
         return input_ids













from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCAmelCase			:  Optional[Any]										=				{"configuration_sew_d": ["SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP", "SEWDConfig"]}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __UpperCAmelCase			:  str										=				[
          "SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST",
          "SEWDForCTC",
          "SEWDForSequenceClassification",
          "SEWDModel",
          "SEWDPreTrainedModel",
      ]

if TYPE_CHECKING:
      from .configuration_sew_d import SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWDConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_sew_d import (
                SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST,
                SEWDForCTC,
                SEWDForSequenceClassification,
                SEWDModel,
                SEWDPreTrainedModel,
            )


else:
      import sys

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






