code: 
  
  
  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_xlm_roberta import XLMRobertaTokenizer
  else:
      __snake_case             =	None
  
  
  __snake_case             =	logging.get_logger(__name__)
  
  __snake_case             =	{'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}
  
  __snake_case             =	{
      '''vocab_file''': {
          '''xlm-roberta-base''': '''https://huggingface.co/xlm-roberta-base/resolve/main/sentencepiece.bpe.model''',
          '''xlm-roberta-large''': '''https://huggingface.co/xlm-roberta-large/resolve/main/sentencepiece.bpe.model''',
          '''xlm-roberta-large-finetuned-conll02-dutch''': (
              '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/sentencepiece.bpe.model'''
          ),
          '''xlm-roberta-large-finetuned-conll02-spanish''': (
              '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/sentencepiece.bpe.model'''
          ),
          '''xlm-roberta-large-finetuned-conll03-english''': (
              '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/sentencepiece.bpe.model'''
          ),
          '''xlm-roberta-large-finetuned-conll03-german''': (
              '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/sentencepiece.bpe.model'''
          ),
      },
      '''tokenizer_file''': {
          '''xlm-roberta-base''': '''https://huggingface.co/xlm-roberta-base/resolve/main/tokenizer.json''',
          '''xlm-roberta-large''': '''https://huggingface.co/xlm-roberta-large/resolve/main/tokenizer.json''',
          '''xlm-roberta-large-finetuned-conll02-dutch''': (
              '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/tokenizer.json'''
          ),
          '''xlm-roberta-large-finetuned-conll02-spanish''': (
              '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/tokenizer.json'''
          ),
          '''xlm-roberta-large-finetuned-conll03-english''': (
              '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/tokenizer.json'''
          ),
          '''xlm-roberta-large-finetuned-conll03-german''': (
              '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/tokenizer.json'''
          ),
      },
  }
  
  __snake_case             =	{
      '''xlm-roberta-base''': 5_1_2,
      '''xlm-roberta-large''': 5_1_2,
      '''xlm-roberta-large-finetuned-conll02-dutch''': 5_1_2,
      '''xlm-roberta-large-finetuned-conll02-spanish''': 5_1_2,
      '''xlm-roberta-large-finetuned-conll03-english''': 5_1_2,
      '''xlm-roberta-large-finetuned-conll03-german''': 5_1_2,
  }
  
  
  
  class   __lowerCamelCase (_a	):
         _lowercase       							=    VOCAB_FILES_NAMES
         _lowercase       							=    PRETRAINED_VOCAB_FILES_MAP
         _lowercase       							=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
         _lowercase       							=    ["""input_ids""", """attention_mask"""]
         _lowercase       							=    XLMRobertaTokenizer
  
  
  
  
  
  
  
         def __init__( self:   int,A_:   List[Any]=None,A_:   List[Any]=None,A_:   Any="<s>",A_:   Union[str, Any]="</s>",A_:   Any="</s>",A_:   str="<s>",A_:   Optional[Any]="<unk>",A_:   str="<pad>",A_:   Tuple="<mask>",**A_:   str,):
  
  
  
  
  
  
              '''simple docstring'''
  
  
  
  
              __UpperCamelCase   = AddedToken(A_,lstrip=A_,rstrip=A_				) if isinstance(A_,A_				) else mask_token
  
              super().__init__(
                  A_,tokenizer_file=A_,bos_token=A_,eos_token=A_,sep_token=A_,cls_token=A_,unk_token=A_,pad_token=A_,mask_token=A_,**A_,)
  
              __UpperCamelCase   = vocab_file
              __UpperCamelCase   = False if not self.vocab_file else True
  
  
  
  
  
  
  
         def 		snake_case_  ( self:   int,A_:   List[int],A_:   Optional[List[int]] = None				):
  
  
  
  
  
  
              '''simple docstring'''
  
  
  
  
              if token_ids_a is None:
                   return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
              __UpperCamelCase   = [self.cls_token_id]
              __UpperCamelCase   = [self.sep_token_id]
              return cls + token_ids_a + sep + sep + token_ids_a + sep
  
  
  
  
  
  
  
         def 		snake_case_  ( self:   int,A_:   List[int],A_:   Optional[List[int]] = None				):
  
  
  
  
  
  
              '''simple docstring'''
  
  
  
  
              __UpperCamelCase   = [self.sep_token_id]
              __UpperCamelCase   = [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 + sep + token_ids_a + sep				) * [0]
  
  
  
  
  
  
  
         def 		snake_case_  ( self:   Dict,A_:   str,A_:   Optional[str] = None				):
  
  
  
  
  
  
              '''simple docstring'''
  
  
  
  
              if not self.can_save_slow_tokenizer:
                   raise ValueError(
                       'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
                       'tokenizer.'				)
  
              if not os.path.isdir(A_				):
                   logger.error(F'''Vocabulary path ({save_directory}) should be a directory.'''				)
                   return
              __UpperCamelCase   = os.path.join(
                  A_,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']				)
  
              if os.path.abspath(self.vocab_file				) != os.path.abspath(A_				):
                   copyfile(self.vocab_file,A_				)
  
              return (out_vocab_file,)
  
style_context: 
  
  
  import warnings
  from collections.abc import Callable
  from typing import Any
  
  import numpy
  from matplotlib import pyplot
  
  __snake_case             =	0.25 + 0.0j
  __snake_case             =	-0.4 + 0.6j
  __snake_case             =	-0.1 + 0.6_51j
  __snake_case             =	-2.0
  __snake_case             =	5_6
  __snake_case             =	2.0
  __snake_case             =	6_6_6
  
  
  
  
  
  
  def 		_A		(		_lowercase				,     _lowercase   )				->   numpy.ndarray:
  
  
       """simple docstring"""
  
  
       return numpy.exp(_lowercase   ) + c_parameter
  
  
  
  
  
  
  def 		_A		(		_lowercase				,     _lowercase   )				->   numpy.ndarray:
  
  
       """simple docstring"""
  
  
       return z_values * z_values + c_parameter
  
  
  
  
  
  
  def 		_A		(		_lowercase				,     _lowercase   )				->   numpy.ndarray:
  
  
       """simple docstring"""
  
  
       __UpperCamelCase   = numpy.linspace(-window_size				,     _lowercase				,     _lowercase   )
       __UpperCamelCase   = x.reshape((nb_pixels, 1)   )
       __UpperCamelCase   = numpy.linspace(-window_size				,     _lowercase				,     _lowercase   )
       __UpperCamelCase   = y.reshape((1, nb_pixels)   )
       return x + 1.0J * y
  
  
  
  
  
  
  def 		_A		(		_lowercase				,     _lowercase				,     _lowercase				,     _lowercase				,     _lowercase = None				,     )				->   numpy.ndarray:
  
  
       """simple docstring"""
  
  
       __UpperCamelCase   = z_a.astype('complex64'   )
       for _ in range(_lowercase   ):
            __UpperCamelCase   = eval_function(_lowercase				,     _lowercase   )
            if infinity is not None:
                 numpy.nan_to_num(_lowercase				,     copy=_lowercase				,     nan=_lowercase   )
                 __UpperCamelCase   = infinity
       return z_n
  
  
  
  
  
  
  def 		_A		(		_lowercase				,     _lowercase				,     _lowercase				,     _lowercase				,     )				->   None:
  
  
       """simple docstring"""
  
  
       __UpperCamelCase   = (abs(_lowercase   )).transpose()
       __UpperCamelCase   = abs_z_final[::-1, :]
       pyplot.matshow(abs_z_final < escape_radius   )
       pyplot.title(f'''Julia set of ${function_label}$, $c={function_params}$'''   )
       pyplot.show()
  
  
  
  
  
  
  def 		_A		(		)				->   None:
  
  
       """simple docstring"""
  
  
       warnings.filterwarnings(
           'ignore'				,     category=_lowercase				,     message='overflow encountered in multiply'   )
       warnings.filterwarnings(
           'ignore'				,     category=_lowercase				,     message='invalid value encountered in multiply'				,     )
       warnings.filterwarnings(
           'ignore'				,     category=_lowercase				,     message='overflow encountered in absolute'   )
       warnings.filterwarnings(
           'ignore'				,     category=_lowercase				,     message='overflow encountered in exp'   )
  
  
  if __name__ == "__main__":
      __snake_case             =	prepare_grid(window_size, nb_pixels)
  
      ignore_overflow_warnings()  # See file header for explanations
  
      __snake_case             =	2_4
      __snake_case             =	2 * abs(c_cauliflower) + 1
      __snake_case             =	iterate_function(
          eval_quadratic_polynomial,
          c_cauliflower,
          nb_iterations,
          z_a,
          infinity=1.1 * escape_radius,
      )
      show_results('''z^2+c''', c_cauliflower, escape_radius, z_final)
  
      __snake_case             =	6_4
      __snake_case             =	2 * abs(c_polynomial_a) + 1
      __snake_case             =	iterate_function(
          eval_quadratic_polynomial,
          c_polynomial_a,
          nb_iterations,
          z_a,
          infinity=1.1 * escape_radius,
      )
      show_results('''z^2+c''', c_polynomial_a, escape_radius, z_final)
  
      __snake_case             =	1_6_1
      __snake_case             =	2 * abs(c_polynomial_a) + 1
      __snake_case             =	iterate_function(
          eval_quadratic_polynomial,
          c_polynomial_a,
          nb_iterations,
          z_a,
          infinity=1.1 * escape_radius,
      )
      show_results('''z^2+c''', c_polynomial_a, escape_radius, z_final)
  
      __snake_case             =	1_2
      __snake_case             =	10_000.0
      __snake_case             =	iterate_function(
          eval_exponential,
          c_exponential,
          nb_iterations,
          z_a + 2,
          infinity=1.0e10,
      )
      show_results('''e^z+c''', c_exponential, escape_radius, z_final)
  
  
  