


"""simple docstring"""




import os
import sys
import unittest


__magic_name__						: Optional[int]    =				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
__magic_name__						: Any    =				os.path.join(git_repo_path, 'src', 'diffusers')




class 			__snake_case   (unittest.TestCase  ):




							def   __a   (     self:    Optional[int]   ):
										__lowerCamelCase          =      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")

										__lowerCamelCase          =      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")

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




							def   __a   (     self:    int   ):
										__lowerCamelCase          =      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   __a   (     self:    Dict   ):
										__lowerCamelCase          =      create_dummy_object("""CONSTANT"""     ,							"""'torch'"""   )
										self.assertEqual(A_     ,							"""\nCONSTANT = None\n"""   )

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

										__lowerCamelCase          =      """
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')
"""
										__lowerCamelCase          =      create_dummy_object("""FakeClass"""     ,							"""'torch'"""   )
										self.assertEqual(A_     ,							A_   )




							def   __a   (     self:    int   ):
										__lowerCamelCase          =      """# 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\"])
"""
										__lowerCamelCase          =      create_dummy_files({"""torch""": ["""CONSTANT""", """function""", """FakeClass"""]}   )
										self.assertEqual(dummy_files["""torch"""]     ,							A_   )








"""simple docstring"""




from collections import defaultdict





def       a_ (	lowercase__ :int     ):
			__lowerCamelCase          =      1
			__lowerCamelCase          =      True
			for v in tree[start]:
						if v not in visited:
									ret += dfs(lowercase__     )
			if ret % 2 == 0:
						cuts.append(lowercase__     )
			return ret





def       a_ (	):
			dfs(1     )


if __name__ == "__main__":
					__magic_name__  , __magic_name__						: Tuple    =				1_0, 9
					__magic_name__						: Tuple    =				defaultdict(list)
					__magic_name__						: dict[int, bool]    =				{}
					__magic_name__						: list[int]    =				[]
					__magic_name__						: List[str]    =				0
					__magic_name__						: Tuple    =				[(2, 1), (3, 1), (4, 3), (5, 2), (6, 1), (7, 2), (8, 6), (9, 8), (1_0, 8)]
					for u, v in edges:
										tree[u].append(v)
										tree[v].append(u)
					even_tree()
					print(len(cuts) - 1)




