from math import pi, sqrt, tan



def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       float	)							->					float:







  """simple docstring"""





  if side_length < 0:
    raise ValueError("""surface_area_cube() only accepts non-negative values"""	)
  return 6 * side_length**2



def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       float ,     __UpperCamelCase    :       float ,     __UpperCamelCase    :       float	)							->					float:







  """simple docstring"""





  if length < 0 or breadth < 0 or height < 0:
    raise ValueError("""surface_area_cuboid() only accepts non-negative values"""	)
  return 2 * ((length * breadth) + (breadth * height) + (length * height))



def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       float	)							->					float:







  """simple docstring"""





  if radius < 0:
    raise ValueError("""surface_area_sphere() only accepts non-negative values"""	)
  return 4 * pi * radius**2



def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       float	)							->					float:







  """simple docstring"""





  if radius < 0:
    raise ValueError("""surface_area_hemisphere() only accepts non-negative values"""	)
  return 3 * pi * radius**2



def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       float ,     __UpperCamelCase    :       float	)							->					float:







  """simple docstring"""





  if radius < 0 or height < 0:
    raise ValueError("""surface_area_cone() only accepts non-negative values"""	)
  return pi * radius * (radius + (height**2 + radius**2) ** 0.5)



def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       float ,     __UpperCamelCase    :       float ,     __UpperCamelCase    :       float	)							->					float:







  """simple docstring"""





  if radius_a < 0 or radius_a < 0 or height < 0:
    raise ValueError(
        """surface_area_conical_frustum() only accepts non-negative values"""	)
  SCREAMING_SNAKE_CASE__										=      (height**2 + (radius_a - radius_a) ** 2) ** 0.5
  return pi * ((slant_height * (radius_a + radius_a)) + radius_a**2 + radius_a**2)



def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       float ,     __UpperCamelCase    :       float	)							->					float:







  """simple docstring"""





  if radius < 0 or height < 0:
    raise ValueError("""surface_area_cylinder() only accepts non-negative values"""	)
  return 2 * pi * radius * (height + radius)



def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       float ,     __UpperCamelCase    :       float	)							->					float:







  """simple docstring"""





  if torus_radius < 0 or tube_radius < 0:
    raise ValueError("""surface_area_torus() only accepts non-negative values"""	)
  if torus_radius < tube_radius:
    raise ValueError(
        """surface_area_torus() does not support spindle or self intersecting tori"""	)
  return 4 * pow(__UpperCamelCase ,     2	) * torus_radius * tube_radius



def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       float ,     __UpperCamelCase    :       float	)							->					float:







  """simple docstring"""





  if length < 0 or width < 0:
    raise ValueError("""area_rectangle() only accepts non-negative values"""	)
  return length * width



def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       float	)							->					float:







  """simple docstring"""





  if side_length < 0:
    raise ValueError("""area_square() only accepts non-negative values"""	)
  return side_length**2



def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       float ,     __UpperCamelCase    :       float	)							->					float:







  """simple docstring"""





  if base < 0 or height < 0:
    raise ValueError("""area_triangle() only accepts non-negative values"""	)
  return (base * height) / 2



def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       float ,     __UpperCamelCase    :       float ,     __UpperCamelCase    :       float	)							->					float:







  """simple docstring"""





  if sidea < 0 or sidea < 0 or sidea < 0:
    raise ValueError("""area_triangle_three_sides() only accepts non-negative values"""	)
  elif sidea + sidea < sidea or sidea + sidea < sidea or sidea + sidea < sidea:
    raise ValueError("""Given three sides do not form a triangle"""	)
  SCREAMING_SNAKE_CASE__										=      (sidea + sidea + sidea) / 2
  SCREAMING_SNAKE_CASE__										=      sqrt(
      semi_perimeter
      * (semi_perimeter - sidea)
      * (semi_perimeter - sidea)
      * (semi_perimeter - sidea)	)
  return area



def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       float ,     __UpperCamelCase    :       float	)							->					float:







  """simple docstring"""





  if base < 0 or height < 0:
    raise ValueError("""area_parallelogram() only accepts non-negative values"""	)
  return base * height



def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       float ,     __UpperCamelCase    :       float ,     __UpperCamelCase    :       float	)							->					float:







  """simple docstring"""





  if basea < 0 or basea < 0 or height < 0:
    raise ValueError("""area_trapezium() only accepts non-negative values"""	)
  return 1 / 2 * (basea + basea) * height



def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       float	)							->					float:







  """simple docstring"""





  if radius < 0:
    raise ValueError("""area_circle() only accepts non-negative values"""	)
  return pi * radius**2



def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       float ,     __UpperCamelCase    :       float	)							->					float:







  """simple docstring"""





  if radius_x < 0 or radius_y < 0:
    raise ValueError("""area_ellipse() only accepts non-negative values"""	)
  return pi * radius_x * radius_y



def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       float ,     __UpperCamelCase    :       float	)							->					float:







  """simple docstring"""





  if diagonal_a < 0 or diagonal_a < 0:
    raise ValueError("""area_rhombus() only accepts non-negative values"""	)
  return 1 / 2 * diagonal_a * diagonal_a



def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       int ,     __UpperCamelCase    :       float	)							->					float:







  """simple docstring"""





  if not isinstance(__UpperCamelCase ,     __UpperCamelCase	) or sides < 3:
    raise ValueError(
        """area_reg_polygon() only accepts integers greater than or \
equal to three as number of sides"""	)
  elif length < 0:
    raise ValueError(
        """area_reg_polygon() only accepts non-negative values as \
length of a side"""	)
  return (sides * length**2) / (4 * tan(pi / sides	))
  return (sides * length**2) / (4 * tan(pi / sides	))


if __name__ == "__main__":
   import doctest

   doctest.testmod(verbose=True)  # verbose so we can see methods missing tests

   print('''[DEMO] Areas of various geometric shapes: \n''')
   print(F"""Rectangle: {area_rectangle(10, 20) = }""")
   print(F"""Square: {area_square(10) = }""")
   print(F"""Triangle: {area_triangle(10, 10) = }""")
   print(F"""Triangle: {area_triangle_three_sides(5, 12, 13) = }""")
   print(F"""Parallelogram: {area_parallelogram(10, 20) = }""")
   print(F"""Rhombus: {area_rhombus(10, 20) = }""")
   print(F"""Trapezium: {area_trapezium(10, 20, 30) = }""")
   print(F"""Circle: {area_circle(20) = }""")
   print(F"""Ellipse: {area_ellipse(10, 20) = }""")
   print('''\nSurface Areas of various geometric shapes: \n''')
   print(F"""Cube: {surface_area_cube(20) = }""")
   print(F"""Cuboid: {surface_area_cuboid(10, 20, 30) = }""")
   print(F"""Sphere: {surface_area_sphere(20) = }""")
   print(F"""Hemisphere: {surface_area_hemisphere(20) = }""")
   print(F"""Cone: {surface_area_cone(10, 20) = }""")
   print(F"""Conical Frustum: {surface_area_conical_frustum(10, 20, 30) = }""")
   print(F"""Cylinder: {surface_area_cylinder(10, 20) = }""")
   print(F"""Torus: {surface_area_torus(20, 10) = }""")
   print(F"""Equilateral Triangle: {area_reg_polygon(3, 10) = }""")
   print(F"""Square: {area_reg_polygon(4, 10) = }""")
   print(F"""Reqular Pentagon: {area_reg_polygon(5, 10) = }""")

import unittest
from pathlib import Path
from shutil import copyfile

from transformers import SPIECE_UNDERLINE, is_sentencepiece_available
from transformers.models.speech_to_text import SpeechaTextTokenizer
from transformers.models.speech_to_text.tokenization_speech_to_text import VOCAB_FILES_NAMES, save_json
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


__lowerCamelCase			: str							   =		get_tests_dir('''fixtures/test_sentencepiece.model''')

if is_sentencepiece_available():
   import sentencepiece as sp


__lowerCamelCase			: Any							   =		5
__lowerCamelCase			: Dict							   =		10







@require_sentencepiece
@require_tokenizers
class __snake_case				(						lowerCamelCase_   ,		unittest.TestCase		):
   lowerCAmelCase_														=							SpeechaTextTokenizer
   lowerCAmelCase_														=							False
   lowerCAmelCase_														=							True




   def 	__a						(    self			:				Tuple      ):



     """simple docstring"""






     super().setUp()

     SCREAMING_SNAKE_CASE__										=      sp.SentencePieceProcessor()
     spm_model.Load(_lowercase      )
     SCREAMING_SNAKE_CASE__										=      ["""<s>""", """<pad>""", """</s>""", """<unk>"""]

     vocab += [spm_model.IdToPiece(id_      ) for id_ in range(len(_lowercase      )      )]
     SCREAMING_SNAKE_CASE__										=      dict(zip(_lowercase       ,	range(len(_lowercase      )      )      )      )

     SCREAMING_SNAKE_CASE__										=      Path(self.tmpdirname      )
     save_json(_lowercase       ,	save_dir / VOCAB_FILES_NAMES["""vocab_file"""]      )
     if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
       copyfile(_lowercase       ,	save_dir / VOCAB_FILES_NAMES["""spm_file"""]      )

     SCREAMING_SNAKE_CASE__										=      SpeechaTextTokenizer.from_pretrained(self.tmpdirname      )
     tokenizer.save_pretrained(self.tmpdirname      )




   def 	__a						(    self			:				Union[str, Any]      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      """<pad>"""
     SCREAMING_SNAKE_CASE__										=      1

     self.assertEqual(self.get_tokenizer()._convert_token_to_id(_lowercase      )       ,	_lowercase      )
     self.assertEqual(self.get_tokenizer()._convert_id_to_token(_lowercase      )       ,	_lowercase      )




   def 	__a						(    self			:				List[Any]      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      list(self.get_tokenizer().get_vocab().keys()      )

     self.assertEqual(vocab_keys[0]       ,	"""<s>"""      )
     self.assertEqual(vocab_keys[1]       ,	"""<pad>"""      )
     self.assertEqual(vocab_keys[-1]       ,	"""j"""      )
     self.assertEqual(len(_lowercase      )       ,	10_01      )




   def 	__a						(    self			:				List[Any]      ):



     """simple docstring"""






     self.assertEqual(self.get_tokenizer().vocab_size       ,	10_01      )




   def 	__a						(    self			:				List[Any]      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      SpeechaTextTokenizer.from_pretrained(self.tmpdirname      )

     SCREAMING_SNAKE_CASE__										=      tokenizer.tokenize("""This is a test"""      )
     self.assertListEqual(_lowercase       ,	["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]      )

     self.assertListEqual(
         tokenizer.convert_tokens_to_ids(_lowercase      )       ,	[2_89, 50, 14, 1_74, 3_86]       ,	)

     SCREAMING_SNAKE_CASE__										=      tokenizer.tokenize("""I was born in 92000, and this is falsé."""      )
     self.assertListEqual(
         _lowercase       ,	[SPIECE_UNDERLINE + """I""", SPIECE_UNDERLINE + """was""", SPIECE_UNDERLINE + """b""", """or""", """n""", SPIECE_UNDERLINE + """in""", SPIECE_UNDERLINE + """""", """9""", """2""", """0""", """0""", """0""", """,""", SPIECE_UNDERLINE + """and""", SPIECE_UNDERLINE + """this""", SPIECE_UNDERLINE + """is""", SPIECE_UNDERLINE + """f""", """al""", """s""", """é""", """."""]       ,	)
     SCREAMING_SNAKE_CASE__										=      tokenizer.convert_tokens_to_ids(_lowercase      )
     self.assertListEqual(_lowercase       ,	[12, 25, 88, 59, 28, 23, 11, 4, 6_06, 3_51, 3_51, 3_51, 7, 16, 70, 50, 76, 84, 10, 4, 8]      )

     SCREAMING_SNAKE_CASE__										=      tokenizer.convert_ids_to_tokens(_lowercase      )
     self.assertListEqual(
         _lowercase       ,	[SPIECE_UNDERLINE + """I""", SPIECE_UNDERLINE + """was""", SPIECE_UNDERLINE + """b""", """or""", """n""", SPIECE_UNDERLINE + """in""", SPIECE_UNDERLINE + """""", """<unk>""", """2""", """0""", """0""", """0""", """,""", SPIECE_UNDERLINE + """and""", SPIECE_UNDERLINE + """this""", SPIECE_UNDERLINE + """is""", SPIECE_UNDERLINE + """f""", """al""", """s""", """<unk>""", """."""]       ,	)




   @slow
   def 	__a						(    self			:				List[Any]      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      {"""input_ids""": [[37_91, 7_97, 31, 11, 64, 7_97, 31, 24_29, 4_33, 12, 11_76, 12, 20, 7_86, 9_15, 1_42, 24_13, 2_40, 37, 32_38, 7_97, 31, 11, 35, 93, 9_15, 1_42, 24_13, 2_40, 37, 55_40, 5_67, 12_76, 93, 37, 6_10, 40, 62, 4_55, 6_57, 10_42, 1_23, 7_80, 1_77, 37, 3_09, 2_41, 12_98, 5_14, 20, 2_92, 27_37, 1_14, 24_69, 2_41, 85, 64, 3_02, 5_48, 5_28, 4_23, 4, 5_09, 4_06, 4_23, 37, 6_01, 4, 7_77, 3_02, 5_48, 5_28, 4_23, 2_84, 4, 33_88, 5_11, 4_59, 4, 35_55, 40, 3_21, 3_02, 7_05, 4, 33_88, 5_11, 5_83, 3_26, 5, 5, 5, 62, 33_10, 5_60, 1_77, 26_80, 2_17, 15_08, 32, 31, 8_53, 4_18, 64, 5_83, 5_11, 16_05, 62, 35, 93, 5_60, 1_77, 26_80, 2_17, 15_08, 15_21, 64, 5_83, 5_11, 5_19, 62, 20, 15_15, 7_64, 20, 1_49, 2_61, 56_25, 79_72, 20, 55_40, 5_67, 12_76, 93, 39_25, 16_75, 11, 15, 8_02, 79_72, 5_76, 2_17, 15_08, 11, 35, 93, 12_53, 24_41, 15, 2_89, 6_52, 31, 4_16, 3_21, 38_42, 1_15, 40, 9_11, 8, 4_76, 6_19, 4, 3_80, 1_42, 4_23, 3_35, 2_40, 35, 93, 2_64, 8, 11, 3_35, 5_69, 4_20, 1_63, 5, 2], [2_60, 5_48, 5_28, 4_23, 20, 4_51, 20, 26_81, 11_53, 34_34, 20, 55_40, 37, 5_67, 1_26, 12_53, 24_41, 33_76, 4_49, 2_10, 4_31, 15_63, 1_77, 7_67, 55_40, 11, 12_03, 4_72, 11, 29_53, 6_85, 2_85, 3_64, 7_06, 11_53, 20, 67_99, 20, 28_69, 20, 44_64, 1_26, 40, 24_29, 20, 10_40, 8_66, 26_64, 4_18, 20, 3_18, 20, 17_26, 1_86, 20, 2_65, 5_22, 35, 93, 21_91, 46_34, 20, 10_40, 12, 67_99, 15, 2_28, 23_56, 1_42, 31, 11, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [25_75, 26_66, 6_84, 15_82, 11_76, 12, 6_27, 1_49, 6_19, 20, 49_02, 5_63, 11, 20, 1_49, 2_61, 34_20, 23_56, 1_74, 1_42, 47_14, 1_31, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
     # fmt: on

     self.tokenizer_integration_test_util(
         expected_encoding=_lowercase       ,	model_name="""facebook/s2t-small-mustc-en-de-st"""       ,	revision="""a14f04cf0776c02f62a8cb800cf7909e15ea23ad"""       ,	)







@require_sentencepiece
class __snake_case				(						unittest.TestCase		):
   lowerCAmelCase_														=							"valhalla/s2t_mustc_multilinguial_medium"

   lowerCAmelCase_														=							"C'est trop cool"
   lowerCAmelCase_														=							"Esto es genial"




   @classmethod
   def 	__a						(    cls			:				Any      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      SpeechaTextTokenizer.from_pretrained(cls.checkpoint_name      )
     return cls




   def 	__a						(    self			:				Dict      ):



     """simple docstring"""






     self.assertEqual(self.tokenizer.lang_code_to_id["""pt"""]       ,	4      )
     self.assertEqual(self.tokenizer.lang_code_to_id["""ru"""]       ,	6      )
     self.assertEqual(self.tokenizer.lang_code_to_id["""it"""]       ,	9      )
     self.assertEqual(self.tokenizer.lang_code_to_id["""de"""]       ,	11      )




   def 	__a						(    self			:				Union[str, Any]      ):



     """simple docstring"""






     self.assertEqual(self.tokenizer.vocab_size       ,	1_00_00      )




   def 	__a						(    self			:				int      ):



     """simple docstring"""






     self.assertIn(_lowercase       ,	self.tokenizer.all_special_ids      )
     SCREAMING_SNAKE_CASE__										=      [ES_CODE, 4, 16_01, 47, 76_47, 2]
     SCREAMING_SNAKE_CASE__										=      self.tokenizer.decode(_lowercase       ,	skip_special_tokens=_lowercase      )
     SCREAMING_SNAKE_CASE__										=      self.tokenizer.decode(generated_ids[1:]       ,	skip_special_tokens=_lowercase      )
     self.assertEqual(_lowercase       ,	_lowercase      )
     self.assertNotIn(self.tokenizer.eos_token       ,	_lowercase      )




   def 	__a						(    self			:				Any      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      """fr"""
     SCREAMING_SNAKE_CASE__										=      self.tokenizer(self.french_text      ).input_ids
     self.assertEqual(encoded[0]       ,	_lowercase      )
     self.assertEqual(encoded[-1]       ,	self.tokenizer.eos_token_id      )




   def 	__a						(    self			:				Optional[Any]      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      """fr"""
     self.assertListEqual(self.tokenizer.prefix_tokens       ,	[FR_CODE]      )

     SCREAMING_SNAKE_CASE__										=      """es"""
     self.assertListEqual(self.tokenizer.prefix_tokens       ,	[ES_CODE]      )
