



'''simple docstring'''





import os
import sys
import unittest


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


class 					snake_case			(unittest.TestCase ):



       def 				_a   (					self   )	->				Optional[int]:
           lowercase__									=    find_backend("    if not is_torch_available():"   )
           self.assertEqual(UpperCAmelCase_  ,"torch"   )

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

           lowercase__									=    find_backend("    if not (is_torch_available() and is_transformers_available()):"   )
           self.assertEqual(UpperCAmelCase_  ,"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")

           lowercase__									=    find_backend(
               "    if not (is_torch_available() and is_transformers_available() and is_onnx_available()):"   )
           self.assertEqual(UpperCAmelCase_  ,"torch_and_transformers_and_onnx"   )



       def 				_a   (					self   )	->				Optional[int]:
           lowercase__									=    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("torch_and_transformers"  ,UpperCAmelCase_   )
           self.assertIn("flax_and_transformers"  ,UpperCAmelCase_   )
           self.assertIn("torch_and_transformers_and_onnx"  ,UpperCAmelCase_   )

           # 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 				_a   (					self   )	->				Optional[int]:
           lowercase__									=    create_dummy_object("CONSTANT"  ,"'torch'"   )
           self.assertEqual(UpperCAmelCase_  ,"\nCONSTANT = None\n"   )

           lowercase__									=    create_dummy_object("function"  ,"'torch'"   )
           self.assertEqual(
               UpperCAmelCase_  ,"\ndef function(*args, **kwargs):\n    requires_backends(function, 'torch')\n"   )

           lowercase__									=    "\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"
           lowercase__									=    create_dummy_object("FakeClass"  ,"'torch'"   )
           self.assertEqual(UpperCAmelCase_  ,UpperCAmelCase_   )







       def 				_a   (					self   )	->				int:
           lowercase__									=    "# 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"
           lowercase__									=    create_dummy_files({"torch": ["CONSTANT", "function", "FakeClass"]}   )
           self.assertEqual(dummy_files["torch"]  ,UpperCAmelCase_   )









'''simple docstring'''





def 							lowerCamelCase	(					_snake_case	:    str							):





    '''simple docstring'''


    return " ".join(
        "".join(word[::-1]							) if len(_snake_case							) > 4 else word for word in sentence.split()							)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 print(reverse_long_words("Hey wollef sroirraw"))




