




'''simple docstring'''



import os
import sys
import unittest


UpperCamelCase_    	=				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
UpperCamelCase_    	=				os.path.join(git_repo_path, "src", "diffusers")






class 							_a				(			unittest.TestCase ):





       '''simple docstring'''






       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Any    					=						find_backend('    if not is_torch_available():'  )
             self.assertEqual(A,							'torch'  )

             # backend_with_underscore = find_backend("    if not is_tensorflow_text_available():")
             # self.assertEqual(backend_with_underscore, "tensorflow_text")

             SCREAMING_SNAKE_CASE   :      Dict    					=						find_backend('    if not (is_torch_available() and is_transformers_available()):'  )
             self.assertEqual(A,							'torch_and_transformers'  )

             # double_backend_with_underscore = find_backend(
             #    "    if not (is_sentencepiece_available() and is_tensorflow_text_available()):"
             # )
             # self.assertEqual(double_backend_with_underscore, "sentencepiece_and_tensorflow_text")

             SCREAMING_SNAKE_CASE   :      Dict    					=						find_backend(
                 '    if not (is_torch_available() and is_transformers_available() and is_onnx_available()):'  )
             self.assertEqual(A,							'torch_and_transformers_and_onnx'  )







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      List[str]    					=						read_init()
             # We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
             self.assertIn('torch',							A  )
             self.assertIn('torch_and_transformers',							A  )
             self.assertIn('flax_and_transformers',							A  )
             self.assertIn('torch_and_transformers_and_onnx',							A  )

             # Likewise, we can't assert on the exact content of a key
             self.assertIn('UNet2DModel',							objects['torch']  )
             self.assertIn('FlaxUNet2DConditionModel',							objects['flax']  )
             self.assertIn('StableDiffusionPipeline',							objects['torch_and_transformers']  )
             self.assertIn('FlaxStableDiffusionPipeline',							objects['flax_and_transformers']  )
             self.assertIn('LMSDiscreteScheduler',							objects['torch_and_scipy']  )
             self.assertIn('OnnxStableDiffusionPipeline',							objects['torch_and_transformers_and_onnx']  )







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Dict    					=						create_dummy_object('CONSTANT',							'\'torch\''  )
             self.assertEqual(A,							'\nCONSTANT = None\n'  )

             SCREAMING_SNAKE_CASE   :      Any    					=						create_dummy_object('function',							'\'torch\''  )
             self.assertEqual(
                 A,							'\ndef function(*args, **kwargs):\n    requires_backends(function, \'torch\')\n'  )

             SCREAMING_SNAKE_CASE   :      str    					=						'\nclass FakeClass(metaclass=DummyObject):\n    _backends = \'torch\'\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, \'torch\')\n\n    @classmethod\n    def from_config(cls, *args, **kwargs):\n        requires_backends(cls, \'torch\')\n\n    @classmethod\n    def from_pretrained(cls, *args, **kwargs):\n        requires_backends(cls, \'torch\')\n'
             SCREAMING_SNAKE_CASE   :      Any    					=						create_dummy_object('FakeClass',							'\'torch\''  )
             self.assertEqual(A,							A  )







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Optional[int]    					=						'# 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\n    @classmethod\n    def from_config(cls, *args, **kwargs):\n        requires_backends(cls, ["torch"])\n\n    @classmethod\n    def from_pretrained(cls, *args, **kwargs):\n        requires_backends(cls, ["torch"])\n'
             SCREAMING_SNAKE_CASE   :      Tuple    					=						create_dummy_files({'torch': ['CONSTANT', 'function', 'FakeClass']}  )
             self.assertEqual(dummy_files['torch'],							A  )








'''simple docstring'''



def   lowercase__(			__UpperCamelCase:					int    ):

      """simple docstring"""






      if not isinstance(__UpperCamelCase      ,__UpperCamelCase    ):
            raise TypeError('Input value must be an \'int\' type'    )

      SCREAMING_SNAKE_CASE   :      int    					=						0
      while number:
            position += 1
            number >>= 1

      return position


if __name__ == "__main__":
      import doctest

      doctest.testmod()


