





"""simple docstring"""





import os
import sys
import unittest


__A											=						os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, """utils"""))

import check_dummies  # noqa: E402
from check_dummies import create_dummy_files, create_dummy_object, find_backend, read_init  # noqa: E402


# Align TRANSFORMERS_PATH in check_dummies with the current path
__A											=						os.path.join(git_repo_path, """src""", """transformers""")

__A											=						"""
{0} = None
"""

__A											=						"""
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})
"""


__A											=						"""
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
"""






class    _lowerCAmelCase  (	unittest.TestCase			):
       """simple docstring"""




       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__     :Tuple											=				find_backend('    _import_structure["models.albert"].append("AlbertTokenizerFast")' )
         self.assertIsNone(__UpperCAmelCase )

         lowerCAmelCase__     :int											=				find_backend('    if not is_tokenizers_available():' )
         self.assertEqual(__UpperCAmelCase       ,					'tokenizers' )

         lowerCAmelCase__     :List[Any]											=				find_backend('    if not is_tensorflow_text_available():' )
         self.assertEqual(__UpperCAmelCase       ,					'tensorflow_text' )

         lowerCAmelCase__     :List[Any]											=				find_backend('    if not (is_sentencepiece_available() and is_tokenizers_available()):' )
         self.assertEqual(__UpperCAmelCase       ,					'sentencepiece_and_tokenizers' )

         lowerCAmelCase__     :str											=				find_backend(
             '    if not (is_sentencepiece_available() and is_tensorflow_text_available()):' )
         self.assertEqual(__UpperCAmelCase       ,					'sentencepiece_and_tensorflow_text' )

         lowerCAmelCase__     :Any											=				find_backend(
             '    if not (is_sentencepiece_available() and is_tokenizers_available() and is_vision_available()):' )
         self.assertEqual(__UpperCAmelCase       ,					'sentencepiece_and_tokenizers_and_vision' )






       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__     :Optional[Any]											=				read_init()
         # We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
         self.assertIn('torch'       ,					__UpperCAmelCase )
         self.assertIn('tensorflow_text'       ,					__UpperCAmelCase )
         self.assertIn('sentencepiece_and_tokenizers'       ,					__UpperCAmelCase )

         # Likewise, we can't assert on the exact content of a key
         self.assertIn('BertModel'       ,					objects['torch'] )
         self.assertIn('TFBertModel'       ,					objects['tf'] )
         self.assertIn('FlaxBertModel'       ,					objects['flax'] )
         self.assertIn('BertModel'       ,					objects['torch'] )
         self.assertIn('TFBertTokenizer'       ,					objects['tensorflow_text'] )
         self.assertIn('convert_slow_tokenizer'       ,					objects['sentencepiece_and_tokenizers'] )






       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__     :int											=				create_dummy_object('CONSTANT'       ,					'\'torch\'' )
         self.assertEqual(__UpperCAmelCase       ,					'\nCONSTANT = None\n' )

         lowerCAmelCase__     :Optional[int]											=				create_dummy_object('function'       ,					'\'torch\'' )
         self.assertEqual(
             __UpperCAmelCase       ,					'\ndef function(*args, **kwargs):\n    requires_backends(function, \'torch\')\n' )

         lowerCAmelCase__     :Union[str, Any]											=				'\nclass FakeClass(metaclass=DummyObject):\n    _backends = \'torch\'\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, \'torch\')\n'
         lowerCAmelCase__     :Union[str, Any]											=				create_dummy_object('FakeClass'       ,					'\'torch\'' )
         self.assertEqual(__UpperCAmelCase       ,					__UpperCAmelCase )






       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__     :Dict											=				'# This file is autogenerated by the command `make fix-copies`, do not edit.\nfrom ..utils import DummyObject, requires_backends\n\n\nCONSTANT = None\n\n\ndef function(*args, **kwargs):\n    requires_backends(function, ["torch"])\n\n\nclass FakeClass(metaclass=DummyObject):\n    _backends = ["torch"]\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, ["torch"])\n'
         lowerCAmelCase__     :Optional[int]											=				create_dummy_files({'torch': ['CONSTANT', 'function', 'FakeClass']} )
         self.assertEqual(dummy_files['torch']       ,					__UpperCAmelCase )








'''simple docstring'''

from __future__ import annotations

from collections import namedtuple



def 				snake_case       (  a_				:			float     , a_				:			float     , a_				:			float						)							->					tuple:





      """simple docstring"""

      UpperCamelCase_					: Tuple            =				namedtuple("""result"""     , """name value"""						)
      if (voltage, current, power).count(0						) != 1:
            raise ValueError("""Only one argument must be 0"""						)
      elif power < 0:
            raise ValueError(
                """Power cannot be negative in any electrical/electronics system"""						)
      elif voltage == 0:
            return result("""voltage"""     , power / current						)
      elif current == 0:
            return result("""current"""     , power / voltage						)
      elif power == 0:
            return result("""power"""     , float(round(abs(voltage * current						)     , 2						)						)						)
      else:
            raise ValueError("""Exactly one argument must be 0"""						)


if __name__ == "__main__":
      import doctest

      doctest.testmod()






