


'''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 					lowerCAmelCase     (  self							:			str	)      ->		Any:
						__A=	find_backend('    if not is_torch_available():'	)
						self.assertEqual(lowerCAmelCase_			,    'torch'	)

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

						__A=	find_backend('    if not (is_torch_available() and is_transformers_available()):'	)
						self.assertEqual(lowerCAmelCase_			,    '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")

						__A=	find_backend(
						    '    if not (is_torch_available() and is_transformers_available() and is_onnx_available()):'	)
						self.assertEqual(lowerCAmelCase_			,    'torch_and_transformers_and_onnx'	)
			def 					lowerCAmelCase     (  self							:			List[Any]	)      ->		int:
						__A=	read_init()
						# We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
						self.assertIn('torch'			,    lowerCAmelCase_	)
						self.assertIn('torch_and_transformers'			,    lowerCAmelCase_	)
						self.assertIn('flax_and_transformers'			,    lowerCAmelCase_	)
						self.assertIn('torch_and_transformers_and_onnx'			,    lowerCAmelCase_	)

						# 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 					lowerCAmelCase     (  self							:			Tuple	)      ->		Tuple:
						__A=	create_dummy_object('CONSTANT'			,    '\'torch\''	)
						self.assertEqual(lowerCAmelCase_			,    '\nCONSTANT = None\n'	)

						__A=	create_dummy_object('function'			,    '\'torch\''	)
						self.assertEqual(
						    lowerCAmelCase_			,    '\ndef function(*args, **kwargs):\n    requires_backends(function, \'torch\')\n'	)

						__A=	'\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'
						__A=	create_dummy_object('FakeClass'			,    '\'torch\''	)
						self.assertEqual(lowerCAmelCase_			,    lowerCAmelCase_	)

			def 					lowerCAmelCase     (  self							:			List[Any]	)      ->		int:
						__A=	'# 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'
						__A=	create_dummy_files({'torch': ['CONSTANT', 'function', 'FakeClass']}	)
						self.assertEqual(dummy_files['torch']			,    lowerCAmelCase_	)







'''simple docstring'''





def 						UpperCAmelCase__(				_SCREAMING_SNAKE_CASE					: int,_SCREAMING_SNAKE_CASE					: int,_SCREAMING_SNAKE_CASE					: int ):






			"""simple docstring"""




			if exponent == 1:
						return base
			if exponent % 2 == 0:
						__A=	_modexpt(_SCREAMING_SNAKE_CASE,exponent // 2,_SCREAMING_SNAKE_CASE ) % modulo_value
						return (x * x) % modulo_value
			else:
						return (base * _modexpt(_SCREAMING_SNAKE_CASE,exponent - 1,_SCREAMING_SNAKE_CASE )) % modulo_value






def 						UpperCAmelCase__(				_SCREAMING_SNAKE_CASE					: int = 1777,_SCREAMING_SNAKE_CASE					: int = 1855,_SCREAMING_SNAKE_CASE					: int = 8 ):






			"""simple docstring"""




			__A=	base
			for _ in range(1,_SCREAMING_SNAKE_CASE ):
						__A=	_modexpt(_SCREAMING_SNAKE_CASE,_SCREAMING_SNAKE_CASE,10**digits )

			return result


if __name__ == "__main__":
					print(F"""{solution() = }""")



