

import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin







class 						__magic_name__			(							lowerCamelCase__		,       unittest.TestCase							):

   '''simple docstring'''




   lowerCamelCase__ :	Dict    =   CTRLTokenizer
   lowerCamelCase__ :	Any    =   False
   lowerCamelCase__ :	List[Any]    =   False



   def  _UpperCAmelCase (				self       )							->    Dict:






     """simple docstring"""






     super().setUp()

     # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
     a__  =['''adapt''', '''re@@''', '''a@@''', '''apt''', '''c@@''', '''t''', '''<unk>''']
     a__  =dict(zip(lowercase_,    range(len(lowercase_       )       )       )       )
     a__  =['''#version: 0.2''', '''a p''', '''ap t</w>''', '''r e''', '''a d''', '''ad apt</w>''', '''''']
     a__  ={'''unk_token''': '''<unk>'''}

     a__  =os.path.join(self.tmpdirname,    VOCAB_FILES_NAMES['''vocab_file''']       )
     a__  =os.path.join(self.tmpdirname,    VOCAB_FILES_NAMES['''merges_file''']       )
     with open(self.vocab_file,    '''w''',    encoding='''utf-8'''       ) as fp:
       fp.write(json.dumps(lowercase_       ) + '''\n'''       )
     with open(self.merges_file,    '''w''',    encoding='''utf-8'''       ) as fp:
       fp.write('''\n'''.join(lowercase_       )       )



   def  _UpperCAmelCase (				self,    **lowercase_       )							->    List[str]:






     """simple docstring"""






     kwargs.update(self.special_tokens_map       )
     return CTRLTokenizer.from_pretrained(self.tmpdirname,    **lowercase_       )



   def  _UpperCAmelCase (				self,    lowercase_       )							->    Optional[int]:






     """simple docstring"""






     a__  ='''adapt react readapt apt'''
     a__  ='''adapt react readapt apt'''
     return input_text, output_text



   def  _UpperCAmelCase (				self       )							->    Optional[Any]:






     """simple docstring"""






     a__  =CTRLTokenizer(self.vocab_file,    self.merges_file,    **self.special_tokens_map       )
     a__  ='''adapt react readapt apt'''
     a__  ='''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
     a__  =tokenizer.tokenize(lowercase_       )
     self.assertListEqual(lowercase_,    lowercase_       )

     a__  =tokens + [tokenizer.unk_token]

     a__  =[0, 1, 2, 4, 5, 1, 0, 3, 6]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_       ),    lowercase_       )



from __future__ import annotations




def 			UpperCAmelCase__				(			_A      : float	,      _A      : float	,      _A      : float	,      ):





  '''simple docstring'''







  if (electron_conc, hole_conc, intrinsic_conc).count(0							) != 1:
    raise ValueError('''You cannot supply more or less than 2 values'''							)
  elif electron_conc < 0:
    raise ValueError('''Electron concentration cannot be negative in a semiconductor'''							)
  elif hole_conc < 0:
    raise ValueError('''Hole concentration cannot be negative in a semiconductor'''							)
  elif intrinsic_conc < 0:
    raise ValueError(
        '''Intrinsic concentration cannot be negative in a semiconductor'''							)
  elif electron_conc == 0:
    return (
        "electron_conc",
        intrinsic_conc**2 / hole_conc,
    )
  elif hole_conc == 0:
    return (
        "hole_conc",
        intrinsic_conc**2 / electron_conc,
    )
  elif intrinsic_conc == 0:
    return (
        "intrinsic_conc",
        (electron_conc * hole_conc) ** 0.5,
    )
  else:
    return (-1, -1)


if __name__ == "__main__":
       import doctest

       doctest.testmod()
