





import os
import unittest

from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin







class     __lowerCAmelCase	(   UpperCamelCase__						,    unittest.TestCase):
      _lowercase    : int            =      TransfoXLTokenizer
      _lowercase    : Dict            =      False
      _lowercase    : Union[str, Any]            =      False







      def        _lowercase  (   self							)       ->						List[str]:



        '''simple docstring'''




        super().setUp()

        a__     : Dict  =[
            '''<unk>''',
            '''[CLS]''',
            '''[SEP]''',
            '''want''',
            '''unwanted''',
            '''wa''',
            '''un''',
            '''running''',
            ''',''',
            '''low''',
            '''l''',
        ]
        a__     : Tuple  =os.path.join(self.tmpdirname		,				VOCAB_FILES_NAMES["vocab_file"]							)
        with open(self.vocab_file		,				"w"		,				encoding="utf-8"							) as vocab_writer:
          vocab_writer.write("".join([x + "\n" for x in vocab_tokens]							)							)







      def        _lowercase  (   self		,				**lowerCAmelCase__							)       ->						Dict:



        '''simple docstring'''




        a__     : Union[str, Any]  =True
        return TransfoXLTokenizer.from_pretrained(self.tmpdirname		,				**lowerCAmelCase__							)







      def        _lowercase  (   self		,				lowerCAmelCase__							)       ->						str:



        '''simple docstring'''




        a__     : str  ='''<unk> UNwanted , running'''
        a__     : Union[str, Any]  ='''<unk> unwanted, running'''
        return input_text, output_text







      def        _lowercase  (   self							)       ->						List[str]:



        '''simple docstring'''




        a__     : Any  =TransfoXLTokenizer(vocab_file=self.vocab_file		,				lower_case=lowerCAmelCase__							)

        a__     : Union[str, Any]  =tokenizer.tokenize("<unk> UNwanted , running"							)
        self.assertListEqual(lowerCAmelCase__		,				["<unk>", "unwanted", ",", "running"]							)

        self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase__							)		,				[0, 4, 8, 7]							)







      def        _lowercase  (   self							)       ->						str:



        '''simple docstring'''




        a__     : str  =TransfoXLTokenizer(lower_case=lowerCAmelCase__							)

        self.assertListEqual(
            tokenizer.tokenize(" \tHeLLo ! how  \n Are yoU ?  "							)		,				["hello", "!", "how", "are", "you", "?"]							)







      def        _lowercase  (   self							)       ->						Union[str, Any]:



        '''simple docstring'''




        a__     : Tuple  =TransfoXLTokenizer(lower_case=lowerCAmelCase__							)

        self.assertListEqual(
            tokenizer.tokenize(" \tHeLLo ! how  \n Are yoU ?  "							)		,				["HeLLo", "!", "how", "Are", "yoU", "?"]							)







      def        _lowercase  (   self							)       ->						int:



        '''simple docstring'''




        a__     : Tuple  =TransfoXLTokenizer(lower_case=lowerCAmelCase__							)
        a__     : Optional[Any]  ='''Hello (bracket) and side-scrolled [and] Henry\'s $5,000 with 3.34 m. What\'s up!?'''
        a__     : Optional[Any]  =[
            '''Hello''',
            '''(''',
            '''bracket''',
            ''')''',
            '''and''',
            '''side''',
            '''@-@''',
            '''scrolled''',
            '''[''',
            '''and''',
            ''']''',
            '''Henry''',
            '''\'s''',
            '''$''',
            '''5''',
            '''@,@''',
            '''000''',
            '''with''',
            '''3''',
            '''@.@''',
            '''34''',
            '''m''',
            '''.''',
            '''What''',
            '''\'s''',
            '''up''',
            '''!''',
            '''?''',
        ]

        self.assertListEqual(tokenizer.tokenize(lowerCAmelCase__							)		,				lowerCAmelCase__							)

        self.assertEqual(tokenizer.convert_tokens_to_string(lowerCAmelCase__							)		,				lowerCAmelCase__							)







      def        _lowercase  (   self							)       ->						Optional[int]:



        '''simple docstring'''




        a__     : str  =self.get_tokenizer()
        a__     : List[Any]  =len(lowerCAmelCase__							)

        tokenizer.add_tokens(["new1", "new2"]							)
        tokenizer.move_added_token("new1"		,				1							)

        # Check that moved token is not copied (duplicate)
        self.assertEqual(len(lowerCAmelCase__							)		,				original_len + 2							)
        # Check that token is moved to specified id
        self.assertEqual(tokenizer.encode("new1"							)		,				[1]							)
        self.assertEqual(tokenizer.decode([1]							)		,				"new1"							)













from __future__ import annotations

from math import pi

# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
UpperCAmelCase     :     Union[str, Any]							=	1.054571817E-34  # unit of ℏ : J * s

UpperCAmelCase     :     Union[str, Any]							=	3E8  # unit of c : m * s^-1
def 					_A	(		SCREAMING_SNAKE_CASE					:       float	,	SCREAMING_SNAKE_CASE					:       float	,	SCREAMING_SNAKE_CASE					:       float						):





  """simple docstring"""



  if (force, area, distance).count(0						) != 1:
    raise ValueError("One and only one argument must be 0"						)
  if force < 0:
    raise ValueError("Magnitude of force can not be negative"						)
  if distance < 0:
    raise ValueError("Distance can not be negative"						)
  if area < 0:
    raise ValueError("Area can not be negative"						)
  if force == 0:
    a__     : Tuple  =(REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (
        240 * (distance) ** 4
    )
    return {"force": force}
  elif area == 0:
    a__     : Any  =(240 * force * (distance) ** 4) / (
        REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2
    )
    return {"area": area}
  elif distance == 0:
    a__     : List[str]  =(
        (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (240 * force)
    ) ** (1 / 4)
    return {"distance": distance}
  raise ValueError("One and only one argument must be 0"						)


# Run doctest
if __name__ == "__main__":
     import doctest

     doctest.testmod()






