
class     lowercase :



		def __init__(			self    ,				A_ = ""    ,				A_ = False	)  -> None:
				"""simple docstring"""
				# Mapping from the first character of the prefix of the node
				UpperCamelCase          =					{}

				# A node will be a leaf if the tree contains its word
				UpperCamelCase          =					is_leaf

				UpperCamelCase          =					prefix



		def __UpperCamelCase			(			self    ,				A_	)  -> tuple[str, str, str]:
				"""simple docstring"""
				UpperCamelCase          =					0
				for q, w in zip(self.prefix    ,				A_	):
						if q != w:
								break

						x += 1

				return self.prefix[:x], self.prefix[x:], word[x:]



		def __UpperCamelCase			(			self    ,				A_	)  -> None:
				"""simple docstring"""
				for word in words:
						self.insert(A_	)



		def __UpperCamelCase			(			self    ,				A_	)  -> None:
				"""simple docstring"""
				# Case 1: If the word is the prefix of the node
				# Solution: We set the current node as leaf
				if self.prefix == word:
						UpperCamelCase          =					True

				# Case 2: The node has no edges that have a prefix to the word
				# Solution: We create an edge from the current node to a new one
				# containing the word
				elif word[0] not in self.nodes:
						UpperCamelCase          =					RadixNode(prefix=A_    ,				is_leaf=A_	)

				else:
						UpperCamelCase          =					self.nodes[word[0]]
						UpperCamelCase     ,  UpperCamelCase     ,  UpperCamelCase          =					incoming_node.match(
						    A_	)

						# Case 3: The node prefix is equal to the matching
						# Solution: We insert remaining word on the next node
						if remaining_prefix == "":
								self.nodes[matching_string[0]].insert(A_	)

						# Case 4: The word is greater equal to the matching
						# Solution: Create a node in between both nodes, change
						# prefixes and add the new node for the remaining word
						else:
								UpperCamelCase          =					remaining_prefix

								UpperCamelCase          =					self.nodes[matching_string[0]]
								UpperCamelCase          =					RadixNode(A_    ,				A_	)
								UpperCamelCase          =					aux_node

								if remaining_word == "":
										UpperCamelCase          =					True
								else:
										self.nodes[matching_string[0]].insert(A_	)



		def __UpperCamelCase			(			self    ,				A_	)  -> bool:
				"""simple docstring"""
				UpperCamelCase          =					self.nodes.get(word[0]    ,				A_	)
				if not incoming_node:
						return False
				else:
						UpperCamelCase     ,  UpperCamelCase     ,  UpperCamelCase          =					incoming_node.match(
						    A_	)
						# If there is remaining prefix, the word can't be on the tree
						if remaining_prefix != "":
								return False
						# This applies when the word and the prefix are equal
						elif remaining_word == "":
								return incoming_node.is_leaf
						# We have word remaining so we check the next node
						else:
								return incoming_node.find(A_	)



		def __UpperCamelCase			(			self    ,				A_	)  -> bool:
				"""simple docstring"""
				UpperCamelCase          =					self.nodes.get(word[0]    ,				A_	)
				if not incoming_node:
						return False
				else:
						UpperCamelCase     ,  UpperCamelCase     ,  UpperCamelCase          =					incoming_node.match(
						    A_	)
						# If there is remaining prefix, the word can't be on the tree
						if remaining_prefix != "":
								return False
						# We have word remaining so we check the next node
						elif remaining_word != "":
								return incoming_node.delete(A_	)
						else:
								# If it is not a leaf, we don't have to delete
								if not incoming_node.is_leaf:
										return False
								else:
										# We delete the nodes if no edges go from it
										if len(incoming_node.nodes	) == 0:
												del self.nodes[word[0]]
												# We merge the current node with its only child
												if len(self.nodes	) == 1 and not self.is_leaf:
														UpperCamelCase          =					list(self.nodes.values()	)[0]
														UpperCamelCase          =					merging_node.is_leaf
														self.prefix += merging_node.prefix
														UpperCamelCase          =					merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
										elif len(incoming_node.nodes	) > 1:
												UpperCamelCase          =					False
										# If there is 1 edge, we merge it with its child
										else:
												UpperCamelCase          =					list(incoming_node.nodes.values()	)[0]
												UpperCamelCase          =					merging_node.is_leaf
												incoming_node.prefix += merging_node.prefix
												UpperCamelCase          =					merging_node.nodes

										return True



		def __UpperCamelCase			(			self    ,				A_ = 0	)  -> None:
				"""simple docstring"""
				if self.prefix != "":
						print('-' * height    ,				self.prefix    ,				'  (leaf)' if self.is_leaf else ''	)

				for value in self.nodes.values():
						value.print_tree(height + 1	)






def 				A	( )       ->  bool:
		'''simple docstring'''

		UpperCamelCase          =					'banana bananas bandana band apple all beast'.split()
		UpperCamelCase          =					RadixNode()
		root.insert_many(lowercase			)

		assert all(root.find(lowercase			) for word in words			)
		assert not root.find('bandanas'			)
		assert not root.find('apps'			)
		root.delete('all'			)
		assert not root.find('all'			)
		root.delete('banana'			)
		assert not root.find('banana'			)
		assert root.find('bananas'			)

		return True


def 				A	( )       ->  None:
		'''simple docstring'''

		assert test_trie()


def 				A	( )       ->  None:
		'''simple docstring'''

		UpperCamelCase          =					RadixNode()
		UpperCamelCase          =					'banana bananas bandanas bandana band apple all beast'.split()
		root.insert_many(lowercase			)

		print('Words:'   ,	lowercase			)
		print('Tree:'			)
		root.print_tree()


if __name__ == "__main__":
					main()


import os
import sys
import unittest


_UpperCAmelCase :			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
_UpperCAmelCase :			Tuple              =	os.path.join(git_repo_path, "src", "diffusers")


class     lowercase (		unittest.TestCase       ):



		def __UpperCamelCase			(			self	)  -> Tuple:
				"""simple docstring"""
				UpperCamelCase          =					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")

				UpperCamelCase          =					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")

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



		def __UpperCamelCase			(			self	)  -> Optional[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'    ,				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 __UpperCamelCase			(			self	)  -> Any:
				"""simple docstring"""
				UpperCamelCase          =					create_dummy_object('CONSTANT'    ,				'\'torch\''	)
				self.assertEqual(A_    ,				'\nCONSTANT = None\n'	)

				UpperCamelCase          =					create_dummy_object('function'    ,				'\'torch\''	)
				self.assertEqual(
				    A_    ,				'\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(A_    ,				A_	)



		def __UpperCamelCase			(			self	)  -> List[str]:
				"""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']    ,				A_	)
