


'''simple docstring'''
class 						_lowerCamelCase					:




	'''simple docstring'''


	def __init__(      self      ,      __lowercase = ""      ,      __lowercase = False						):

		"""simple docstring"""







		__A  :		dict[str, RadixNode]       =			{}

		# A node will be a leaf if the tree contains its word
		__A  :		str       =			is_leaf

		__A  :		Union[str, Any]       =			prefix


	def  snake_case__   (      self      ,      __lowercase						):

		"""simple docstring"""







		__A  :		str       =			0
		for q, w in zip(self.prefix      ,      __lowercase						):
			if q != w:
				break

			x += 1

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


	def  snake_case__   (      self      ,      __lowercase						):

		"""simple docstring"""







		for word in words:
			self.insert(__lowercase						)


	def  snake_case__   (      self      ,      __lowercase						):

		"""simple docstring"""







		if self.prefix == word:
			__A  :		Any       =			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:
			__A  :		List[Any]       =			RadixNode(prefix=__lowercase      ,      is_leaf=__lowercase						)

		else:
			__A  :		Union[str, Any]       =			self.nodes[word[0]]
			__A  :		List[Any]       =			incoming_node.match(
			    __lowercase						)

			# 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(__lowercase						)

			# 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:
				__A  :		Tuple       =			remaining_prefix

				__A  :		Optional[int]       =			self.nodes[matching_string[0]]
				__A  :		str       =			RadixNode(__lowercase      ,      __lowercase						)
				__A  :		Union[str, Any]       =			aux_node

				if remaining_word == "":
					__A  :		Any       =			True
				else:
					self.nodes[matching_string[0]].insert(__lowercase						)


	def  snake_case__   (      self      ,      __lowercase						):

		"""simple docstring"""







		__A  :		Optional[Any]       =			self.nodes.get(word[0]      ,      __lowercase						)
		if not incoming_node:
			return False
		else:
			__A  :		List[str]       =			incoming_node.match(
			    __lowercase						)
			# 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(__lowercase						)


	def  snake_case__   (      self      ,      __lowercase						):

		"""simple docstring"""







		__A  :		str       =			self.nodes.get(word[0]      ,      __lowercase						)
		if not incoming_node:
			return False
		else:
			__A  :		Dict       =			incoming_node.match(
			    __lowercase						)
			# 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(__lowercase						)
			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:
							__A  :		List[Any]       =			list(self.nodes.values()						)[0]
							__A  :		Union[str, Any]       =			merging_node.is_leaf
							self.prefix += merging_node.prefix
							__A  :		int       =			merging_node.nodes
							             # If there is more than 1 edge, we just mark it as non-leaf
					elif len(incoming_node.nodes						) > 1:
						__A  :		Optional[int]       =			False
					# If there is 1 edge, we merge it with its child
					else:
						__A  :		str       =			list(incoming_node.nodes.values()						)[0]
						__A  :		List[str]       =			merging_node.is_leaf
						incoming_node.prefix += merging_node.prefix
						__A  :		Dict       =			merging_node.nodes

					return True







	def  snake_case__   (      self      ,      __lowercase = 0						):

		"""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 			_lowercase       (				):
	__A  :		Tuple       =			'banana bananas bandana band apple all beast'.split()
	__A  :		Dict       =			RadixNode()
	root.insert_many(UpperCamelCase__			)

	assert all(root.find(UpperCamelCase__			) 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 			_lowercase       (				):
	assert test_trie()


def 			_lowercase       (				):
	__A  :		Optional[int]       =			RadixNode()
	__A  :		str       =			'banana bananas bandanas bandana band apple all beast'.split()
	root.insert_many(UpperCamelCase__			)

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


if __name__ == "__main__":
	main()










'''simple docstring'''
import unittest

from transformers import DonutProcessor


UpperCAmelCase_ :     str								=      'naver-clova-ix/donut-base'

class 						_lowerCamelCase					(    unittest.TestCase				):




 '''simple docstring'''


 def  snake_case__   (      self						):

  """simple docstring"""







  __A  :		List[str]       =			DonutProcessor.from_pretrained(__lowercase						)







 def  snake_case__   (      self						):

  """simple docstring"""







  __A  :		List[str]       =			{
      'name': 'John Doe',
      'age': '99',
      'city': 'Atlanta',
      'state': 'GA',
      'zip': '30301',
      'phone': '123-4567',
      'nicknames': [{'nickname': 'Johnny'}, {'nickname': 'JD'}],
  }

  __A  :		Optional[Any]       =			(
      '<s_name>John Doe</s_name><s_age>99</s_age><s_city>Atlanta</s_city>'
      '<s_state>GA</s_state><s_zip>30301</s_zip><s_phone>123-4567</s_phone>'
      '<s_nicknames><s_nickname>Johnny</s_nickname>'
      '<sep/><s_nickname>JD</s_nickname></s_nicknames>'
  )
  __A  :		List[Any]       =			self.processor.tokenajson(__lowercase						)

  self.assertDictEqual(__lowercase      ,      __lowercase						)






