



"""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 snake_case_  (   self      ):
								a_     :      List[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")

								a_     :      Union[str, Any] 						=     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")

								a_     :      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 snake_case_  (   self      ):
								a_     :      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"			,     _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 snake_case_  (   self      ):
								a_     :      List[Any] 						=     create_dummy_object("CONSTANT"			,     "'torch'"      )
								self.assertEqual(_a			,     "\nCONSTANT = None\n"      )

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

								a_     :      Any 						=     """
class FakeClass(metaclass=DummyObject):
    _backends = 'torch'

    def __init__(self, *args, **kwargs):
        requires_backends(self, 'torch')

    @classmethod
    def from_config(cls, *args, **kwargs):
        requires_backends(cls, 'torch')

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, 'torch')
"""
								a_     :      Dict 						=     create_dummy_object("FakeClass"			,     "'torch'"      )
								self.assertEqual(_a			,     _a      )






							def snake_case_  (   self      ):
								a_     :      Union[str, Any] 						=     """# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends


CONSTANT = None


def function(*args, **kwargs):
    requires_backends(function, [\"torch\"])


class FakeClass(metaclass=DummyObject):
    _backends = [\"torch\"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, [\"torch\"])

    @classmethod
    def from_config(cls, *args, **kwargs):
        requires_backends(cls, [\"torch\"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, [\"torch\"])
"""
								a_     :      Any 						=     create_dummy_files({"torch": ["CONSTANT", "function", "FakeClass"]}      )
								self.assertEqual(dummy_files["torch"]			,     _a      )




"""simple docstring"""
def        lowerCAmelCase_						(							SCREAMING_SNAKE_CASE__, SCREAMING_SNAKE_CASE__	)			->      float:
		_validate_point(SCREAMING_SNAKE_CASE__	)
		_validate_point(SCREAMING_SNAKE_CASE__	)
		if len(SCREAMING_SNAKE_CASE__	) != len(SCREAMING_SNAKE_CASE__	):
				raise ValueError("Both points must be in the same n-dimensional space"	)

		return float(sum(abs(a - b	) for a, b in zip(SCREAMING_SNAKE_CASE__, SCREAMING_SNAKE_CASE__	)	)	)



def        lowerCAmelCase_						(							SCREAMING_SNAKE_CASE__	)			->      None:
		if point:
				if isinstance(SCREAMING_SNAKE_CASE__, SCREAMING_SNAKE_CASE__	):
						for item in point:
								if not isinstance(SCREAMING_SNAKE_CASE__, (int, float)	):
										a_     :      int 						=     (
										    "Expected a list of numbers as input, found "
										    F"""{type(SCREAMING_SNAKE_CASE__	).__name__}"""
										)
										raise TypeError(SCREAMING_SNAKE_CASE__	)
				else:
						a_     :      Dict 						=     F"""Expected a list of numbers as input, found {type(SCREAMING_SNAKE_CASE__	).__name__}"""
						raise TypeError(SCREAMING_SNAKE_CASE__	)
		else:
				raise ValueError("Missing an input"	)



def        lowerCAmelCase_						(							SCREAMING_SNAKE_CASE__, SCREAMING_SNAKE_CASE__	)			->      float:
		_validate_point(SCREAMING_SNAKE_CASE__	)
		_validate_point(SCREAMING_SNAKE_CASE__	)
		if len(SCREAMING_SNAKE_CASE__	) != len(SCREAMING_SNAKE_CASE__	):
				raise ValueError("Both points must be in the same n-dimensional space"	)

		return float(sum(abs(x - y	) for x, y in zip(SCREAMING_SNAKE_CASE__, SCREAMING_SNAKE_CASE__	)	)	)


if __name__ == "__main__":
					import doctest

					doctest.testmod()