'''simple docstring'''




import warnings
from typing import Dict, List, Optional, Tuple

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


__SCREAMING_SNAKE_CASE       :     int     =  logging.get_logger(__name__)

class 	lowerCamelCase_	(__lowerCAmelCase    ):
      '''simple docstring'''

      __UpperCamelCase:  Tuple						=						["input_ids", "attention_mask"]




      def __init__(       self						:				Optional[int]						,					A						:				Optional[Any]="</s>"						,					A						:				List[Any]="<unk>"						,					A						:				Optional[int]="<pad>"						,					A						:				Union[str, Any]=125						,					A						:				List[str]=None						,					**A						:				str						,					):





             if extra_ids > 0 and additional_special_tokens is None:
                    _UpperCAmelCase     :  Optional[Any]							      =    [F"""<extra_id_{i}>""" for i in range(A       )]
             elif extra_ids > 0 and additional_special_tokens is not None:
                    # Check that we have the right number of extra_id special tokens
                    _UpperCAmelCase     :  Optional[int]							      =    len(set(filter(lambda A       : bool("extra_id" in str(A       )       )						,					A       )       )       )
                    if extra_tokens != extra_ids:
                           raise ValueError(
                               F"""Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are"""
                               " provided to ByT5Tokenizer. In this case the additional_special_tokens must include the"
                               " extra_ids tokens"       )

             _UpperCAmelCase     :  Dict							      =    AddedToken(A						,					lstrip=A						,					rstrip=A       ) if isinstance(A						,					A       ) else pad_token
             _UpperCAmelCase     :  Optional[int]							      =    AddedToken(A						,					lstrip=A						,					rstrip=A       ) if isinstance(A						,					A       ) else eos_token
             _UpperCAmelCase     :  Dict							      =    AddedToken(A						,					lstrip=A						,					rstrip=A       ) if isinstance(A						,					A       ) else unk_token

             super().__init__(
                 eos_token=A						,					unk_token=A						,					pad_token=A						,					extra_ids=A						,					additional_special_tokens=A						,					**A						,					)

             _UpperCAmelCase     :  Union[str, Any]							      =    extra_ids

             _UpperCAmelCase     :  str							      =    2**8  # utf is 8 bits

             # define special tokens dict
             _UpperCAmelCase     :  Dict[int, str]							      =    {
                 self.pad_token: 0,
                 self.eos_token: 1,
                 self.unk_token: 2,
             }
             _UpperCAmelCase     :  Dict							      =    len(self.special_tokens_encoder       )
             _UpperCAmelCase     :  List[Any]							      =    len(A       )
             for i, token in enumerate(A       ):
                    _UpperCAmelCase     :  Union[str, Any]							      =    self.vocab_size + i - n
             _UpperCAmelCase     :  Dict[str, int]							      =    {v: k for k, v in self.special_tokens_encoder.items()}




      @property
      def      _A	(       self						:				Any       ):
             return self._utf_vocab_size + self._num_special_tokens + self._extra_ids




      def      _A	(       self						:				int						,					A						:				Tuple						,					A						:				Optional[Any] = None						,					A						:				int = 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       )

             # normal case: some special tokens
             if token_ids_a is None:
                    return ([0] * len(A       )) + [1]
             return ([0] * len(A       )) + [1] + ([0] * len(A       )) + [1]




      def      _A	(       self						:				Union[str, Any]						,					A						:				int       ):





             if len(A       ) > 0 and token_ids[-1] == self.eos_token_id:
                    warnings.warn(
                        F"""This sequence already has {self.eos_token}. In future versions this behavior may lead to duplicated"""
                        " eos tokens being added."       )
                    return token_ids
             else:
                    return token_ids + [self.eos_token_id]




      def      _A	(       self						:				Tuple						,					A						:				Any						,					A						:				int = None       ):
             _UpperCAmelCase     :  Any							      =    [self.eos_token_id]

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




      def      _A	(       self						:				Optional[int]						,					A						:				List[Any]						,					A						:				Dict = None       ):
             _UpperCAmelCase     :  Dict							      =    self._add_eos_if_not_present(A       )
             if token_ids_a is None:
                    return token_ids_a
             else:
                    _UpperCAmelCase     :  Optional[Any]							      =    self._add_eos_if_not_present(A       )
                    return token_ids_a + token_ids_a




      def      _A	(       self						:				Optional[Any]						,					A						:				str       ):
             _UpperCAmelCase     :  int							      =    [chr(A       ) for i in text.encode("utf-8"       )]
             return tokens




      def      _A	(       self						:				Dict						,					A						:				Optional[Any]       ):





             if token in self.special_tokens_encoder:
                    _UpperCAmelCase     :  List[str]							      =    self.special_tokens_encoder[token]
             elif token in self.added_tokens_encoder:
                    _UpperCAmelCase     :  Union[str, Any]							      =    self.added_tokens_encoder[token]
             elif len(A       ) != 1:
                    _UpperCAmelCase     :  List[Any]							      =    self.unk_token_id
             else:
                    _UpperCAmelCase     :  int							      =    ord(A       ) + self._num_special_tokens
             return token_id




      def      _A	(       self						:				Optional[int]						,					A						:				List[Any]       ):





             if index in self.special_tokens_decoder:
                    _UpperCAmelCase     :  Tuple							      =    self.special_tokens_decoder[index]
             else:
                    _UpperCAmelCase     :  Tuple							      =    chr(index - self._num_special_tokens       )
             return token




      def      _A	(       self						:				List[str]						,					A						:				Optional[int]       ):
             _UpperCAmelCase     :  Optional[Any]							      =    B''
             for token in tokens:
                    if token in self.special_tokens_decoder:
                           _UpperCAmelCase     :  Optional[Any]							      =    self.special_tokens_decoder[token].encode("utf-8"       )
                    elif token in self.added_tokens_decoder:
                           _UpperCAmelCase     :  List[Any]							      =    self.special_tokens_decoder[token].encode("utf-8"       )
                    elif token in self.special_tokens_encoder:
                           _UpperCAmelCase     :  Any							      =    token.encode("utf-8"       )
                    elif token in self.added_tokens_encoder:
                           _UpperCAmelCase     :  Union[str, Any]							      =    token.encode("utf-8"       )
                    else:
                           _UpperCAmelCase     :  Union[str, Any]							      =    bytes([ord(A       )]       )
                    bstring += tok_string
             _UpperCAmelCase     :  str							      =    bstring.decode("utf-8"						,					errors="ignore"       )
             return string





      def      _A	(       self						:				str						,					A						:				Optional[Any]						,					A						:				Union[str, Any] = None       ):
             return ()


"""simple docstring"""
from math import pow, sqrt







def 						__a   (	*_SCREAMING_SNAKE_CASE   )	->bool:
  a__:     Union[str, Any]										=	len(_SCREAMING_SNAKE_CASE   ) > 0 and all(value > 0.0 for value in values   )
  return result







def 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )	->float | ValueError:
  return (
      round(sqrt(molar_mass_a / molar_mass_a   )		,     6   )
      if validate(_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )
      else ValueError('Input Error: Molar mass values must greater than 0.'   )
  )







def 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )	->float | ValueError:
  return (
      round(effusion_rate * sqrt(molar_mass_a / molar_mass_a   )		,     6   )
      if validate(_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )
      else ValueError(
          'Input Error: Molar mass and effusion rate values must greater than 0.'   )
  )







def 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )	->float | ValueError:
  return (
      round(effusion_rate / sqrt(molar_mass_a / molar_mass_a   )		,     6   )
      if validate(_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )
      else ValueError(
          'Input Error: Molar mass and effusion rate values must greater than 0.'   )
  )







def 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )	->float | ValueError:
  return (
      round(molar_mass / pow(effusion_rate_a / effusion_rate_a		,     2   )		,     6   )
      if validate(_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )
      else ValueError(
          'Input Error: Molar mass and effusion rate values must greater than 0.'   )
  )







def 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )	->float | ValueError:
  return (
      round(pow(effusion_rate_a / effusion_rate_a		,     2   ) / molar_mass		,     6   )
      if validate(_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )
      else ValueError(
          'Input Error: Molar mass and effusion rate values must greater than 0.'   )
  )


