import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_splinter import SplinterTokenizer


lowerCAmelCase__  	=      logging.get_logger(__name__)

lowerCAmelCase__  	=      {"vocab_file": "vocab.txt"}

lowerCAmelCase__  	=      {
    "vocab_file": {
        "tau/splinter-base": "https://huggingface.co/tau/splinter-base/resolve/main/vocab.txt",
        "tau/splinter-base-qass": "https://huggingface.co/tau/splinter-base-qass/resolve/main/vocab.txt",
        "tau/splinter-large": "https://huggingface.co/tau/splinter-large/resolve/main/vocab.txt",
        "tau/splinter-large-qass": "https://huggingface.co/tau/splinter-large-qass/resolve/main/vocab.txt",
    }
}

lowerCAmelCase__  	=      {
    "tau/splinter-base": 5_1_2,
    "tau/splinter-base-qass": 5_1_2,
    "tau/splinter-large": 5_1_2,
    "tau/splinter-large-qass": 5_1_2,
}

lowerCAmelCase__  	=      {
    "tau/splinter-base": {"do_lower_case": False},
    "tau/splinter-base-qass": {"do_lower_case": False},
    "tau/splinter-large": {"do_lower_case": False},
    "tau/splinter-large-qass": {"do_lower_case": False},
}
class 	_a  (							lowerCamelCase_					):



	"""simple docstring"""



	__SCREAMING_SNAKE_CASE              =					VOCAB_FILES_NAMES
	__SCREAMING_SNAKE_CASE              =					PRETRAINED_VOCAB_FILES_MAP
	__SCREAMING_SNAKE_CASE              =					PRETRAINED_INIT_CONFIGURATION
	__SCREAMING_SNAKE_CASE              =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__SCREAMING_SNAKE_CASE              =					SplinterTokenizer


	def __init__(   self       ,  lowerCAmelCase_=None       ,  lowerCAmelCase_=None       ,  lowerCAmelCase_=True       ,  lowerCAmelCase_="[UNK]"       ,  lowerCAmelCase_="[SEP]"       ,  lowerCAmelCase_="[PAD]"       ,  lowerCAmelCase_="[CLS]"       ,  lowerCAmelCase_="[MASK]"       ,  lowerCAmelCase_="[QUESTION]"       ,  lowerCAmelCase_=True       ,  lowerCAmelCase_=None       ,  **lowerCAmelCase_       ,  ):
		super().__init__(
		    lowerCAmelCase_       ,  tokenizer_file=lowerCAmelCase_       ,  do_lower_case=lowerCAmelCase_       ,  unk_token=lowerCAmelCase_       ,  sep_token=lowerCAmelCase_       ,  pad_token=lowerCAmelCase_       ,  cls_token=lowerCAmelCase_       ,  mask_token=lowerCAmelCase_       ,  tokenize_chinese_chars=lowerCAmelCase_       ,  strip_accents=lowerCAmelCase_       ,  additional_special_tokens=(question_token,)       ,  **lowerCAmelCase_       ,  )

		_lowercase   =json.loads(self.backend_tokenizer.normalizer.__getstate__()       )
		if (
		    pre_tok_state.get("lowercase"       ,  lowerCAmelCase_       ) != do_lower_case
		    or pre_tok_state.get("strip_accents"       ,  lowerCAmelCase_       ) != strip_accents
		):
			_lowercase   =getattr(lowerCAmelCase_       ,  pre_tok_state.pop("type"       )       )
			_lowercase   =do_lower_case
			_lowercase   =strip_accents
			_lowercase   =pre_tok_class(**lowerCAmelCase_       )

		_lowercase   =do_lower_case


	@property
	def __lowerCAmelCase      (   self       ):
		return self.convert_tokens_to_ids(self.question_token       )


	def __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ,  lowerCAmelCase_ = None       ):
		if token_ids_a is None:
			return [self.cls_token_id] + token_ids_a + [self.sep_token_id]

		_lowercase   =[self.cls_token_id]
		_lowercase   =[self.sep_token_id]
		_lowercase   =[self.question_token_id] + [self.convert_tokens_to_ids("."       )]
		if self.padding_side == "right":
			# Input is question-then-context
			return cls + token_ids_a + question_suffix + sep + token_ids_a + sep
		else:
			# Input is context-then-question
			return cls + token_ids_a + sep + token_ids_a + question_suffix + sep


	def __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ,  lowerCAmelCase_ = None       ):
		_lowercase   =[self.sep_token_id]
		_lowercase   =[self.cls_token_id]
		_lowercase   =[self.question_token_id] + [self.convert_tokens_to_ids("."       )]
		if token_ids_a is None:
			return len(cls + token_ids_a + sep       ) * [0]

		if self.padding_side == "right":
			# Input is question-then-context
			return len(cls + token_ids_a + question_suffix + sep       ) * [0] + len(token_ids_a + sep       ) * [1]
		else:
			# Input is context-then-question
			return len(cls + token_ids_a + sep       ) * [0] + len(token_ids_a + question_suffix + sep       ) * [1]


	def __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ,  lowerCAmelCase_ = None       ):
		_lowercase   =self._tokenizer.model.save(lowerCAmelCase_       ,  name=lowerCAmelCase_       )
		return tuple(lowerCAmelCase_       )






'''simple docstring'''
from __future__ import annotations







def 							A_  (    __SCREAMING_SNAKE_CASE    :	float | int      ,  __SCREAMING_SNAKE_CASE    :	float | int      ,  __SCREAMING_SNAKE_CASE    :	float | int      ,  )					->							list[float | int]:





  """simple docstring"""

  if not all((nth_term, start_term_a, common_ratio_r)			):
    return []
  __A		:  list[float | int]       				=		[]
  __A		:  Union[str, Any]       				=		1
  __A		:  List[str]       				=		common_ratio_r
  for _ in range(int(__SCREAMING_SNAKE_CASE			)			):
    if not series:
      series.append(__SCREAMING_SNAKE_CASE			)
    else:
      power += 1
      series.append(float(start_term_a * multiple			)			)
      __A		:  List[str]       				=		pow(float(__SCREAMING_SNAKE_CASE			)      ,  __SCREAMING_SNAKE_CASE			)
  return series


if __name__ == "__main__":
     import doctest

     doctest.testmod()

     A__ :		Optional[int]					=float(input('Enter the last number (n term) of the Geometric Series'))
     A__ :		List[Any]					=float(input('Enter the starting term (a) of the Geometric Series'))
     A__ :		List[Any]					=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))



