


import os
import sys
import unittest


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


class      lowercase__	(       unittest.TestCase		):






  def       _UpperCAmelCase	(       self   :       List[Any]			):




         """simple docstring"""







         UpperCAmelCase__					    =  find_backend("    if not is_torch_available():"			)
         self.assertEqual(_lowercase		,    "torch"			)

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

         UpperCAmelCase__					    =  find_backend("    if not (is_torch_available() and is_transformers_available()):"			)
         self.assertEqual(_lowercase		,    "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")

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






  def       _UpperCAmelCase	(       self   :       List[Any]			):




         """simple docstring"""







         UpperCAmelCase__					    =  read_init()
         # We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
         self.assertIn("torch"		,    _lowercase			)
         self.assertIn("torch_and_transformers"		,    _lowercase			)
         self.assertIn("flax_and_transformers"		,    _lowercase			)
         self.assertIn("torch_and_transformers_and_onnx"		,    _lowercase			)

         # 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   :       Dict			):




         """simple docstring"""







         UpperCAmelCase__					    =  create_dummy_object("CONSTANT"		,    "\'torch\'"			)
         self.assertEqual(_lowercase		,    "\nCONSTANT = None\n"			)

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

         UpperCAmelCase__					    =  '\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'
         UpperCAmelCase__					    =  create_dummy_object("FakeClass"		,    "\'torch\'"			)
         self.assertEqual(_lowercase		,    _lowercase			)






  def       _UpperCAmelCase	(       self   :       Tuple			):




         """simple docstring"""







         UpperCAmelCase__					    =  '# 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'
         UpperCAmelCase__					    =  create_dummy_files({"torch": ["CONSTANT", "function", "FakeClass"]}			)
         self.assertEqual(dummy_files["torch"]		,    _lowercase			)











'''simple docstring'''



class 							_a				:





       '''simple docstring'''






       def __init__(      self,							A  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Tuple    					=						val
             SCREAMING_SNAKE_CASE   :      Any    					=						None
             SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						None







       def        UpperCamelCase_							(      self,							A  ):







             '''simple docstring'''







             if self.val:
                   if val < self.val:
                         if self.left is None:
                               SCREAMING_SNAKE_CASE   :      Optional[int]    					=						Node(A  )
                         else:
                               self.left.insert(A  )
                   elif val > self.val:
                         if self.right is None:
                               SCREAMING_SNAKE_CASE   :      int    					=						Node(A  )
                         else:
                               self.right.insert(A  )
             else:
                   SCREAMING_SNAKE_CASE   :      int    					=						val




def   lowercase__(			__UpperCamelCase:					Optional[int]      ,__UpperCamelCase:					List[str]    ):

      """simple docstring"""






      if root:
            inorder(root.left      ,__UpperCamelCase    )
            res.append(root.val    )
            inorder(root.right      ,__UpperCamelCase    )




def   lowercase__(			__UpperCamelCase:					List[Any]    ):

      """simple docstring"""






      if len(__UpperCamelCase    ) == 0:
            return arr
      SCREAMING_SNAKE_CASE   :      Optional[int]    					=						Node(arr[0]    )
      for i in range(1      ,len(__UpperCamelCase    )    ):
            root.insert(arr[i]    )
      # Traverse BST in order.
      SCREAMING_SNAKE_CASE   :      Dict    					=						[]
      inorder(__UpperCamelCase      ,__UpperCamelCase    )
      return res


if __name__ == "__main__":
      print(tree_sort([1_0, 1, 3, 2, 9, 1_4, 1_3]))


