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							   =      logging.get_logger(__name__)

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

UpperCAmelCase							   =      {
    """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							   =      {
    """gpt2""": 1024,
    """gpt2-medium""": 1024,
    """gpt2-large""": 1024,
    """gpt2-xl""": 1024,
    """distilgpt2""": 1024,
}







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







def 	UpperCAmelCase       (		lowerCAmelCase_       )	->	Optional[Any]:
     a  :    List[str]				=						set()
     a  :    Optional[int]				=						word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)       )
          a  :    Dict				=						char
     return pairs






class 							_SCREAMING_SNAKE_CASE(   snake_case__	):
   UpperCamelCase_				:						Optional[int] 			=   VOCAB_FILES_NAMES
   UpperCamelCase_				:						Union[str, Any] 			=   PRETRAINED_VOCAB_FILES_MAP
   UpperCamelCase_				:						Union[str, Any] 			=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   UpperCamelCase_				:						Tuple 			=   ['input_ids', 'attention_mask']
   def __init__(    self							,     lowerCAmelCase_							,     lowerCAmelCase_							,     lowerCAmelCase_="replace"							,     lowerCAmelCase_="<|endoftext|>"							,     lowerCAmelCase_="<|endoftext|>"							,     lowerCAmelCase_="<|endoftext|>"							,     lowerCAmelCase_=None							,     lowerCAmelCase_=False							,     lowerCAmelCase_=False							,     **lowerCAmelCase_							,     )	->int:
        a  :    List[str]				=						AddedToken(lowerCAmelCase_							,     lstrip=lowerCAmelCase_							,     rstrip=lowerCAmelCase_    ) if isinstance(lowerCAmelCase_							,     lowerCAmelCase_    ) else bos_token
        a  :    Optional[Any]				=						AddedToken(lowerCAmelCase_							,     lstrip=lowerCAmelCase_							,     rstrip=lowerCAmelCase_    ) if isinstance(lowerCAmelCase_							,     lowerCAmelCase_    ) else eos_token
        a  :    str				=						AddedToken(lowerCAmelCase_							,     lstrip=lowerCAmelCase_							,     rstrip=lowerCAmelCase_    ) if isinstance(lowerCAmelCase_							,     lowerCAmelCase_    ) else unk_token
        a  :    Union[str, Any]				=						AddedToken(lowerCAmelCase_							,     lstrip=lowerCAmelCase_							,     rstrip=lowerCAmelCase_    ) if isinstance(lowerCAmelCase_							,     lowerCAmelCase_    ) else pad_token
        super().__init__(
            errors=lowerCAmelCase_							,     unk_token=lowerCAmelCase_							,     bos_token=lowerCAmelCase_							,     eos_token=lowerCAmelCase_							,     pad_token=lowerCAmelCase_							,     add_prefix_space=lowerCAmelCase_							,     add_bos_token=lowerCAmelCase_							,     **lowerCAmelCase_							,     )
        a  :    Any				=						add_bos_token

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

        # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
        a  :    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 _lowercase(    self    )	->List[str]:
        return len(self.encoder    )
   def _lowercase(    self    )	->Optional[Any]:
        return dict(self.encoder							,     **self.added_tokens_encoder    )
   def _lowercase(    self							,     lowerCAmelCase_    )	->Optional[Any]:
        if token in self.cache:
             return self.cache[token]
        a  :    int				=						tuple(lowerCAmelCase_    )
        a  :    Optional[int]				=						get_pairs(lowerCAmelCase_    )

        if not pairs:
             return token

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

                  if word[i] == first and i < len(lowerCAmelCase_    ) - 1 and word[i + 1] == second:
                       new_word.append(first + second    )
                       i += 2
                  else:
                       new_word.append(word[i]    )
                       i += 1
             a  :    Dict				=						tuple(lowerCAmelCase_    )
             a  :    Dict				=						new_word
             if len(lowerCAmelCase_    ) == 1:
                  break
             else:
                  a  :    int				=						get_pairs(lowerCAmelCase_    )
        a  :    Any				=						''' '''.join(lowerCAmelCase_    )
        a  :    str				=						word
        return word
   def _lowercase(    self							,     lowerCAmelCase_							,     lowerCAmelCase_=None    )	->Optional[Any]:
        if self.add_bos_token:
             a  :    Dict				=						[self.bos_token_id]
        else:
             a  :    Optional[int]				=						[]

        a  :    Any				=						bos_token_ids + token_ids_a

        if token_ids_a is None:
             return output

        return output + bos_token_ids + token_ids_a
   def _lowercase(    self							,     lowerCAmelCase_							,     lowerCAmelCase_ = None							,     lowerCAmelCase_ = False    )	->List[int]:
        if already_has_special_tokens:
             return super().get_special_tokens_mask(
                 token_ids_a=lowerCAmelCase_							,     token_ids_a=lowerCAmelCase_							,     already_has_special_tokens=lowerCAmelCase_    )

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

        if token_ids_a is None:
             return [1] + ([0] * len(lowerCAmelCase_    ))
        return [1] + ([0] * len(lowerCAmelCase_    )) + [1] + ([0] * len(lowerCAmelCase_    ))
   def _lowercase(    self							,     lowerCAmelCase_    )	->str:
        a  :    Union[str, Any]				=						[]
        for token in re.findall(self.pat							,     lowerCAmelCase_    ):
             a  :    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(lowerCAmelCase_    ).split(''' '''    )    )
        return bpe_tokens
   def _lowercase(    self							,     lowerCAmelCase_    )	->List[Any]:
        return self.encoder.get(lowerCAmelCase_							,     self.encoder.get(self.unk_token    )    )
   def _lowercase(    self							,     lowerCAmelCase_    )	->Union[str, Any]:
        return self.decoder.get(lowerCAmelCase_    )
   def _lowercase(    self							,     lowerCAmelCase_    )	->List[Any]:
        a  :    Optional[Any]				=						''''''.join(lowerCAmelCase_    )
        a  :    Dict				=						bytearray([self.byte_decoder[c] for c in text]    ).decode('''utf-8'''							,     errors=self.errors    )
        return text
   def _lowercase(    self							,     lowerCAmelCase_							,     lowerCAmelCase_ = None    )	->Tuple[str]:
        if not os.path.isdir(lowerCAmelCase_    ):
             logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""    )
             return
        a  :    str				=						os.path.join(
            lowerCAmelCase_							,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']    )
        a  :    Optional[Any]				=						os.path.join(
            lowerCAmelCase_							,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']    )

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

        a  :    int				=						0
        with open(lowerCAmelCase_							,     '''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 lowerCAmelCase_    : 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  :    Tuple				=						token_index
                  writer.write(''' '''.join(lowerCAmelCase_    ) + '''\n'''    )
                  index += 1

        return vocab_file, merge_file
   def _lowercase(    self							,     lowerCAmelCase_							,     lowerCAmelCase_=False							,     **lowerCAmelCase_    )	->List[Any]:
        a  :    int				=						kwargs.pop('''add_prefix_space'''							,     self.add_prefix_space    )
        if is_split_into_words or add_prefix_space:
             a  :    Optional[Any]				=						''' ''' + text
        return (text, kwargs)


   def _lowercase(    self							,     lowerCAmelCase_    )	->List[int]:
        a  :    List[Any]				=						[]
        for is_user, text in conversation.iter_texts():
             input_ids.extend(self.encode(lowerCAmelCase_							,     add_special_tokens=lowerCAmelCase_    ) + [self.eos_token_id]    )
        if len(lowerCAmelCase_    ) > self.model_max_length:
             a  :    Tuple				=						input_ids[-self.model_max_length :]
        return input_ids
from __future__ import annotations







def 	UpperCAmelCase       (		lowerCAmelCase_						,      lowerCAmelCase_						,      lowerCAmelCase_						,      )	->	list[float | int]:
     if not all((nth_term, start_term_a, common_ratio_r)       ):
          return []
     a  :    list[float | int]				=						[]
     a  :    str				=						1
     a  :    Dict				=						common_ratio_r
     for _ in range(int(lowerCAmelCase_       )       ):
          if not series:
               series.append(lowerCAmelCase_       )
          else:
               power += 1
               series.append(float(start_term_a * multiple       )       )
               a  :    Dict				=						pow(float(lowerCAmelCase_       )						,      lowerCAmelCase_       )
     return series


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  UpperCAmelCase							   =      float(input("""Enter the last number (n term) of the Geometric Series"""))
  UpperCAmelCase							   =      float(input("""Enter the starting term (a) of the Geometric Series"""))
  UpperCAmelCase							   =      float(
      input("""Enter the common ratio between two terms (r) of the Geometric Series""")
  )
  print("""Formula of Geometric Series => a + ar + ar^2 ... +ar^n""")
  print(geometric_series(nth_term, start_term_a, common_ratio_r))