"""simple docstring"""







import os
import sys
import unittest


_a  :  List[str]=				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  :  List[Any]=				os.path.join(git_repo_path, "src", "diffusers")

class 	UpperCamelCase    (					unittest.TestCase		):



				def       _lowercase  (self       :   int)					->			List[str]:
					__snake_case    :							str   	=				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")

					__snake_case    :							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")

					__snake_case    :							List[Any]   	=				find_backend(
					    '    if not (is_torch_available() and is_transformers_available() and is_onnx_available()):')
					self.assertEqual(_A			,						'torch_and_transformers_and_onnx')



				def       _lowercase  (self       :   str)					->			Optional[int]:
					__snake_case    :							str   	=				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       _lowercase  (self       :   List[str])					->			Optional[Any]:
					__snake_case    :							int   	=				create_dummy_object('CONSTANT'			,						'\'torch\'')
					self.assertEqual(_A			,						'\nCONSTANT = None\n')

					__snake_case    :							Optional[int]   	=				create_dummy_object('function'			,						'\'torch\'')
					self.assertEqual(
					    _A			,						'\ndef function(*args, **kwargs):\n    requires_backends(function, \'torch\')\n')

					__snake_case    :							str   	=				'\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'
					__snake_case    :							Any   	=				create_dummy_object('FakeClass'			,						'\'torch\'')
					self.assertEqual(_A			,						_A)






				def       _lowercase  (self       :   Dict)					->			Union[str, Any]:
					__snake_case    :							Any   	=				'# 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'
					__snake_case    :							Optional[Any]   	=				create_dummy_files({'torch': ['CONSTANT', 'function', 'FakeClass']})
					self.assertEqual(dummy_files['torch']			,						_A)






"""simple docstring"""







from __future__ import annotations

_a  :  str=				"#"

class 	UpperCamelCase    :



				def __init__(self       :   str)					->			None:
					__snake_case    :							dict   	=				{}



				def       _lowercase  (self       :   Union[str, Any]			,						_A       :   str)					->			None:
					__snake_case    :							Optional[Any]   	=				self._trie
					for char in text:
						if char not in trie:
							__snake_case    :							Optional[int]   	=				{}
						__snake_case    :							Optional[int]   	=				trie[char]
					__snake_case    :							Optional[int]   	=				True



				def       _lowercase  (self       :   List[str]			,						_A       :   str)					->			tuple | list:
					__snake_case    :							str   	=				self._trie
					for char in prefix:
						if char in trie:
							__snake_case    :							Optional[int]   	=				trie[char]
						else:
							return []
					return self._elements(_A)






				def       _lowercase  (self       :   List[Any]			,						_A       :   dict)					->			tuple:
					__snake_case    :							str   	=				[]
					for c, v in d.items():
						__snake_case    :							Optional[Any]   	=				[' '] if c == END else [(c + s) for s in self._elements(_A)]
						result.extend(_A)
					return tuple(_A)







_a  :  str=				Trie()
_a  :  Any=				("depart", "detergent", "daring", "dog", "deer", "deal")
for word in words:
	trie.insert_word(word)
def 						__UpperCAmelCase       (					UpperCAmelCase_					:       str						)							->    tuple:

	'''simple docstring'''





	__snake_case    :							Optional[int]   	=				trie.find_word(UpperCAmelCase_						)
	return tuple(string + word for word in suffixes						)
def 						__UpperCAmelCase       (					)							->    None:

	'''simple docstring'''





	print(autocomplete_using_trie('de'						)						)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()





