



"""simple docstring"""






class 	__snake_case	:




		def __init__(			self					:						Any						, __lowerCAmelCase					:						str = ""						, __lowerCAmelCase					:						bool = False		):






									"""simple docstring"""






									_lowerCamelCase						:    dict[str, RadixNode]         =			{}

									# A node will be a leaf if the tree contains its word
									_lowerCamelCase						:    List[Any]         =			is_leaf

									_lowerCamelCase						:    Union[str, Any]         =			prefix




		def 						SCREAMING_SNAKE_CASE    (			self					:						Optional[int]						, __lowerCAmelCase					:						str		):






									"""simple docstring"""






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

																x += 1

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




		def 						SCREAMING_SNAKE_CASE    (			self					:						Tuple						, __lowerCAmelCase					:						list[str]		):






									"""simple docstring"""






									for word in words:
																self.insert(__lowerCAmelCase		)




		def 						SCREAMING_SNAKE_CASE    (			self					:						Optional[int]						, __lowerCAmelCase					:						str		):






									"""simple docstring"""






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

									else:
																_lowerCamelCase						:    int         =			self.nodes[word[0]]
																_lowerCamelCase						:    Tuple         =			incoming_node.match(
																    __lowerCAmelCase		)

																# 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(__lowerCAmelCase		)

																# 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:
																							_lowerCamelCase						:    Tuple         =			remaining_prefix

																							_lowerCamelCase						:    Any         =			self.nodes[matching_string[0]]
																							_lowerCamelCase						:    List[Any]         =			RadixNode(__lowerCAmelCase						, __lowerCAmelCase		)
																							_lowerCamelCase						:    Tuple         =			aux_node

																							if remaining_word == "":
																														_lowerCamelCase						:    Union[str, Any]         =			True
																							else:
																														self.nodes[matching_string[0]].insert(__lowerCAmelCase		)




		def 						SCREAMING_SNAKE_CASE    (			self					:						Any						, __lowerCAmelCase					:						str		):






									"""simple docstring"""






									_lowerCamelCase						:    Any         =			self.nodes.get(word[0]						, __lowerCAmelCase		)
									if not incoming_node:
																return False
									else:
																_lowerCamelCase						:    Optional[Any]         =			incoming_node.match(
																    __lowerCAmelCase		)
																# 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(__lowerCAmelCase		)




		def 						SCREAMING_SNAKE_CASE    (			self					:						List[str]						, __lowerCAmelCase					:						str		):






									"""simple docstring"""






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

																														return True




		def 						SCREAMING_SNAKE_CASE    (			self					:						List[str]						, __lowerCAmelCase					:						int = 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 	snake_case_  (				):


							'''simple docstring'''





							_lowerCamelCase						:    int         =			'''banana bananas bandana band apple all beast'''.split()
							_lowerCamelCase						:    Any         =			RadixNode()
							root.insert_many(A_						)

							assert all(root.find(A_						) 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 	snake_case_  (				):


							'''simple docstring'''





							assert test_trie()






def 	snake_case_  (				):


							'''simple docstring'''





							_lowerCamelCase						:    Tuple         =			RadixNode()
							_lowerCamelCase						:    Any         =			'''banana bananas bandanas bandana band apple all beast'''.split()
							root.insert_many(A_						)

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


if __name__ == "__main__":
			main()







"""simple docstring"""






import timeit

import numpy as np

import datasets
from datasets.arrow_writer import ArrowWriter
from datasets.features.features import _ArrayXD






def 	snake_case_  (				A_ :		Optional[int]						):


       '''simple docstring'''





       def wrapper(*A_ :		int,    **A_ :		List[str]						):
              _lowerCamelCase						:    Tuple         =			timeit.default_timer()
              _lowerCamelCase						:    Optional[Any]         =			func(*A_,    **A_						)
              _lowerCamelCase						:    Tuple         =			timeit.default_timer() - starttime
              return delta

       _lowerCamelCase						:    Optional[Any]         =			func.__name__

       return wrapper






def 	snake_case_  (				A_ :		dict,    A_ :		List[str]=1_00,    A_ :		Optional[Any]=None						):


       '''simple docstring'''





       _lowerCamelCase						:    Union[str, Any]         =			[]
       _lowerCamelCase						:    Optional[int]         =			seq_shapes or {}
       for i in range(A_						):
              _lowerCamelCase						:    Any         =			{}
              for col_id, (k, v) in enumerate(features.items()						):
                     if isinstance(A_,    _ArrayXD						):
                            _lowerCamelCase						:    str         =			np.random.rand(*v.shape						).astype(v.dtype						)
                     elif isinstance(A_,    datasets.Value						):
                            if v.dtype == "string":
                                   _lowerCamelCase						:    List[str]         =			'''The small grey turtle was surprisingly fast when challenged.'''
                            else:
                                   _lowerCamelCase						:    int         =			np.random.randint(10,    size=1						).astype(v.dtype						).item()
                     elif isinstance(A_,    datasets.Sequence						):
                            while isinstance(A_,    datasets.Sequence						):
                                   _lowerCamelCase						:    Union[str, Any]         =			v.feature
                            _lowerCamelCase						:    Dict         =			seq_shapes[k]
                            _lowerCamelCase						:    int         =			np.random.rand(*A_						).astype(v.dtype						)
                     _lowerCamelCase						:    Optional[Any]         =			data

              dummy_data.append((i, example)						)

       return dummy_data







def 	snake_case_  (				A_ :		List[str],    A_ :		Optional[int],    A_ :		Optional[int]=1_00,    A_ :		Optional[Any]=None						):


       '''simple docstring'''





       _lowerCamelCase						:    Optional[int]         =			generate_examples(A_,    num_examples=A_,    seq_shapes=A_						)

       with ArrowWriter(features=A_,    path=A_						) as writer:
              for key, record in dummy_data:
                     _lowerCamelCase						:    Optional[Any]         =			features.encode_example(A_						)
                     writer.write(A_						)

              _lowerCamelCase      ,   _lowerCamelCase						:    Dict         =			writer.finalize()

       if not num_final_examples == num_examples:
              raise ValueError(
                  F'''Error writing the dataset, wrote {num_final_examples} examples but should have written {num_examples}.'''						)

       _lowerCamelCase						:    List[Any]         =			datasets.Dataset.from_file(filename=A_,    info=datasets.DatasetInfo(features=A_						)						)

       return dataset


