
"""simple docstring"""






import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
				from .tokenization_rembert import RemBertTokenizer
else:
				__UpperCAmelCase       =  None

__UpperCAmelCase       =  logging.get_logger(__name__)
__UpperCAmelCase       =  {'''vocab_file''': '''sentencepiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

__UpperCAmelCase       =  {
    '''vocab_file''': {
        '''google/rembert''': '''https://huggingface.co/google/rembert/resolve/main/sentencepiece.model''',
    },
    '''tokenizer_file''': {
        '''google/rembert''': '''https://huggingface.co/google/rembert/resolve/main/tokenizer.json''',
    },
}

__UpperCAmelCase       =  {
    '''google/rembert''': 2_56,
}

__UpperCAmelCase       =  '''▁'''




class 			_SCREAMING_SNAKE_CASE					(			UpperCAmelCase__							):
			UpperCAmelCase_  :str				 =						VOCAB_FILES_NAMES
			UpperCAmelCase_  :List[str]				 =						PRETRAINED_VOCAB_FILES_MAP
			UpperCAmelCase_  :Optional[Any]				 =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			UpperCAmelCase_  :Union[str, Any]				 =						RemBertTokenizer






			def __init__(					self       ,   __A=None       ,   __A=None       ,   __A=True       ,   __A=True       ,   __A=False       ,   __A="[CLS]"       ,   __A="[SEP]"       ,   __A="<unk>"       ,   __A="[SEP]"       ,   __A="<pad>"       ,   __A="[CLS]"       ,   __A="[MASK]"       ,   **__A       ,   )			->     Union[str, Any]:
						# Mask token behave like a normal word, i.e. include the space before it
						lowerCAmelCase_    :Any			     =  AddedToken(SCREAMING_SNAKE_CASE__       ,   lstrip=SCREAMING_SNAKE_CASE__       ,   rstrip=SCREAMING_SNAKE_CASE__       ) if isinstance(SCREAMING_SNAKE_CASE__       ,   SCREAMING_SNAKE_CASE__       ) else mask_token

						super().__init__(
						    SCREAMING_SNAKE_CASE__       ,   tokenizer_file=SCREAMING_SNAKE_CASE__       ,   do_lower_case=SCREAMING_SNAKE_CASE__       ,   remove_space=SCREAMING_SNAKE_CASE__       ,   keep_accents=SCREAMING_SNAKE_CASE__       ,   bos_token=SCREAMING_SNAKE_CASE__       ,   eos_token=SCREAMING_SNAKE_CASE__       ,   unk_token=SCREAMING_SNAKE_CASE__       ,   sep_token=SCREAMING_SNAKE_CASE__       ,   pad_token=SCREAMING_SNAKE_CASE__       ,   cls_token=SCREAMING_SNAKE_CASE__       ,   mask_token=SCREAMING_SNAKE_CASE__       ,   **SCREAMING_SNAKE_CASE__       ,   )

						lowerCAmelCase_    :Optional[Any]			     =  do_lower_case
						lowerCAmelCase_    :Tuple			     =  remove_space
						lowerCAmelCase_    :List[str]			     =  keep_accents
						lowerCAmelCase_    :Any			     =  vocab_file
						lowerCAmelCase_    :Tuple			     =  False if not self.vocab_file else True






			def  __lowerCAmelCase (					self       ,   __A       ,   __A = None       )			->     List[int]:
						lowerCAmelCase_    :List[str]			     =  [self.sep_token_id]
						lowerCAmelCase_    :Tuple			     =  [self.cls_token_id]
						if token_ids_a is None:
									return cls + token_ids_a + sep
						return cls + token_ids_a + sep + token_ids_a + sep






			def  __lowerCAmelCase (					self       ,   __A       ,   __A = None       ,   __A = False       )			->     List[int]:

						if already_has_special_tokens:
									if token_ids_a is not None:
												raise ValueError(
												    """You should not supply a second sequence if the provided sequence of """
												    """ids is already formatted with special tokens for the model."""       )
									return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

						if token_ids_a is not None:
									return [1] + ([0] * len(SCREAMING_SNAKE_CASE__       )) + [1] + ([0] * len(SCREAMING_SNAKE_CASE__       )) + [1]
						return [1] + ([0] * len(SCREAMING_SNAKE_CASE__       )) + [1]






			def  __lowerCAmelCase (					self       ,   __A       ,   __A = None       )			->     List[int]:
						lowerCAmelCase_    :str			     =  [self.sep_token_id]
						lowerCAmelCase_    :Dict			     =  [self.cls_token_id]

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






			def  __lowerCAmelCase (					self       ,   __A       ,   __A = None       )			->     Tuple[str]:
						if not os.path.isdir(SCREAMING_SNAKE_CASE__       ):
									logger.error("""Vocabulary path ({}) should be a directory""".format(SCREAMING_SNAKE_CASE__       )       )
									return
						lowerCAmelCase_    :Tuple			     =  os.path.join(
						    SCREAMING_SNAKE_CASE__       ,   (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]       )

						if os.path.abspath(self.vocab_file       ) != os.path.abspath(SCREAMING_SNAKE_CASE__       ):
									copyfile(self.vocab_file       ,   SCREAMING_SNAKE_CASE__       )

						return (out_vocab_file,)







'''simple docstring'''

def      UpperCamelCase_						(					snake_case_       :       list[int]						,		snake_case_       :       list[int]      )					->     tuple[float, float]:






 '''simple docstring'''

 if not len(snake_case_      ) == len(snake_case_      ) == 3:
  raise ValueError("""Please enter a valid equation."""      )
 if equationa[0] == equationa[1] == equationa[0] == equationa[1] == 0:
  raise ValueError("""Both a & b of two equations can't be zero."""      )

 # Extract the coefficients
 __lowerCAmelCase							,       __lowerCAmelCase							,       __lowerCAmelCase											=						equationa
 __lowerCAmelCase							,       __lowerCAmelCase							,       __lowerCAmelCase											=						equationa

 # Calculate the determinants of the matrices
 __lowerCAmelCase											=						aa * ba - aa * ba
 __lowerCAmelCase											=						ca * ba - ca * ba
 __lowerCAmelCase											=						aa * ca - aa * ca

 # Check if the system of linear equations has a solution (using Cramer's rule)
 if determinant == 0:
  if determinant_x == determinant_y == 0:
   raise ValueError("""Infinite solutions. (Consistent system)"""      )
  else:
   raise ValueError("""No solution. (Inconsistent system)"""      )
 else:
  if determinant_x == determinant_y == 0:
   # Trivial solution (Inconsistent system)
   return (0.0, 0.0)
  else:
   __lowerCAmelCase											=						determinant_x / determinant
   __lowerCAmelCase											=						determinant_y / determinant
   # Non-Trivial Solution (Consistent system)
   return (x, y)






