


import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class       lowerCamelCase__   (       lowerCAmelCase   ,							unittest.TestCase):
     SCREAMING_SNAKE_CASE__      			=			OpenAIGPTTokenizer
     SCREAMING_SNAKE_CASE__      			=			OpenAIGPTTokenizerFast
     SCREAMING_SNAKE_CASE__      			=			True
     SCREAMING_SNAKE_CASE__      			=			False





     def      __A					(self       )     ->   List[str]:
      super().setUp()

      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      _lowercase							      =[
          '''l''',
          '''o''',
          '''w''',
          '''e''',
          '''r''',
          '''s''',
          '''t''',
          '''i''',
          '''d''',
          '''n''',
          '''w</w>''',
          '''r</w>''',
          '''t</w>''',
          '''lo''',
          '''low''',
          '''er</w>''',
          '''low</w>''',
          '''lowest</w>''',
          '''newer</w>''',
          '''wider</w>''',
          '''<unk>''',
      ]
      _lowercase							      =dict(zip(UpperCAmelCase		,     range(len(UpperCAmelCase       )       )       )       )
      _lowercase							      =['''#version: 0.2''', '''l o''', '''lo w''', '''e r</w>''', '''''']

      _lowercase							      =os.path.join(self.tmpdirname		,     VOCAB_FILES_NAMES['''vocab_file''']       )
      _lowercase							      =os.path.join(self.tmpdirname		,     VOCAB_FILES_NAMES['''merges_file''']       )
      with open(self.vocab_file		,     '''w'''       ) as fp:
       fp.write(json.dumps(UpperCAmelCase       )       )
      with open(self.merges_file		,     '''w'''       ) as fp:
       fp.write('''\n'''.join(UpperCAmelCase       )       )





     def      __A					(self		,     UpperCAmelCase       )     ->   List[Any]:
      return "lower newer", "lower newer"





     def      __A					(self       )     ->   Dict:
      _lowercase							      =OpenAIGPTTokenizer(self.vocab_file		,     self.merges_file       )

      _lowercase							      ='''lower'''
      _lowercase							      =['''low''', '''er</w>''']
      _lowercase							      =tokenizer.tokenize(UpperCAmelCase       )
      self.assertListEqual(UpperCAmelCase		,     UpperCAmelCase       )

      _lowercase							      =tokens + ['''<unk>''']
      _lowercase							      =[1_4, 1_5, 2_0]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase       )		,     UpperCAmelCase       )





     def      __A					(self		,     UpperCAmelCase=1_5       )     ->   Optional[Any]:
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
       with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"       ):
        _lowercase							      =self.rust_tokenizer_class.from_pretrained(UpperCAmelCase		,     **UpperCAmelCase       )

        # Simple input
        _lowercase							      ='''This is a simple input'''
        _lowercase							      =['''This is a simple input 1''', '''This is a simple input 2''']
        _lowercase							      =('''This is a simple input''', '''This is a pair''')
        _lowercase							      =[
            ('''This is a simple input 1''', '''This is a simple input 2'''),
            ('''This is a simple pair 1''', '''This is a simple pair 2'''),
        ]

        # Simple input tests
        self.assertRaises(UpperCAmelCase		,     tokenizer_r.encode		,     UpperCAmelCase		,     max_length=UpperCAmelCase		,     padding='''max_length'''       )

        # Simple input
        self.assertRaises(UpperCAmelCase		,     tokenizer_r.encode_plus		,     UpperCAmelCase		,     max_length=UpperCAmelCase		,     padding='''max_length'''       )

        # Simple input
        self.assertRaises(
            UpperCAmelCase		,     tokenizer_r.batch_encode_plus		,     UpperCAmelCase		,     max_length=UpperCAmelCase		,     padding='''max_length'''		,     )

        # Pair input
        self.assertRaises(UpperCAmelCase		,     tokenizer_r.encode		,     UpperCAmelCase		,     max_length=UpperCAmelCase		,     padding='''max_length'''       )

        # Pair input
        self.assertRaises(UpperCAmelCase		,     tokenizer_r.encode_plus		,     UpperCAmelCase		,     max_length=UpperCAmelCase		,     padding='''max_length'''       )

        # Pair input
        self.assertRaises(
            UpperCAmelCase		,     tokenizer_r.batch_encode_plus		,     UpperCAmelCase		,     max_length=UpperCAmelCase		,     padding='''max_length'''		,     )





     def      __A					(self       )     ->   str:
      pass







@require_ftfy
@require_spacy
@require_tokenizers
class       lowerCamelCase__   (       lowerCAmelCase):
     pass






import cmath
import math






def     a(      A       :    float ,     A       :    float ,     A       :    float ,     A       :    float       )		->       complex:
					"""simple docstring"""





					a					     =   math.radians(A       )
					a					     =   math.radians(A       )

					# Convert voltage and current to rectangular form
					a					     =   cmath.rect(A ,     A       )
					a					     =   cmath.rect(A ,     A       )

					# Calculate apparent power
					return voltage_rect * current_rect


if __name__ == "__main__":
				import doctest

				doctest.testmod()
