class   lowercase      :




							def __init__(  self				:   str		,							_UpperCamelCase				:   str = ""		,							_UpperCamelCase				:   bool = False )   ->			None:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =    {}

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

												SCREAMING_SNAKE_CASE           =    prefix




							def 		__snake_case(  self				:   Optional[int]		,							_UpperCamelCase				:   str )   ->			tuple[str, str, str]:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =    0
												for q, w in zip(self.prefix		,							_UpperCamelCase ):
																	if q != w:
																						break

																	x += 1

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




							def 		__snake_case(  self				:   int		,							_UpperCamelCase				:   list[str] )   ->			None:



												'''simple docstring'''

												for word in words:
																	self.insert(_UpperCamelCase )




							def 		__snake_case(  self				:   List[str]		,							_UpperCamelCase				:   str )   ->			None:



												'''simple docstring'''

												if self.prefix == word:
																	SCREAMING_SNAKE_CASE           =    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:
																	SCREAMING_SNAKE_CASE           =    RadixNode(prefix=_UpperCamelCase		,							is_leaf=_UpperCamelCase )

												else:
																	SCREAMING_SNAKE_CASE           =    self.nodes[word[0]]
																	SCREAMING_SNAKE_CASE     ,				SCREAMING_SNAKE_CASE     ,				SCREAMING_SNAKE_CASE           =    incoming_node.match(
																	    _UpperCamelCase )

																	# 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(_UpperCamelCase )

																	# 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:
																						SCREAMING_SNAKE_CASE           =    remaining_prefix

																						SCREAMING_SNAKE_CASE           =    self.nodes[matching_string[0]]
																						SCREAMING_SNAKE_CASE           =    RadixNode(_UpperCamelCase		,							_UpperCamelCase )
																						SCREAMING_SNAKE_CASE           =    aux_node

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




							def 		__snake_case(  self				:   Optional[int]		,							_UpperCamelCase				:   str )   ->			bool:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =    self.nodes.get(word[0]		,							_UpperCamelCase )
												if not incoming_node:
																	return False
												else:
																	SCREAMING_SNAKE_CASE     ,				SCREAMING_SNAKE_CASE     ,				SCREAMING_SNAKE_CASE           =    incoming_node.match(
																	    _UpperCamelCase )
																	# 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(_UpperCamelCase )




							def 		__snake_case(  self				:   Any		,							_UpperCamelCase				:   str )   ->			bool:



												'''simple docstring'''

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

																											return True





							def 		__snake_case(  self				:   Any		,							_UpperCamelCase				:   int = 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 		__lowerCamelCase							():
					SCREAMING_SNAKE_CASE           =    "banana bananas bandana band apple all beast".split()
					SCREAMING_SNAKE_CASE           =    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 		__lowerCamelCase							():
					assert test_trie()





def 		__lowerCamelCase							():
					SCREAMING_SNAKE_CASE           =    RadixNode()
					SCREAMING_SNAKE_CASE           =    "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()





from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer


_lowerCamelCase   :				Optional[Any]     			=						logging.get_logger(__name__)

_lowerCamelCase   :				Any     			=						{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

_lowerCamelCase   :				int     			=						{
    '''vocab_file''': {
        '''allegro/herbert-base-cased''': '''https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json'''
    },
    '''merges_file''': {
        '''allegro/herbert-base-cased''': '''https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt'''
    },
}

_lowerCamelCase   :				Tuple     			=						{'''allegro/herbert-base-cased''': 5_14}
_lowerCamelCase   :				Optional[int]     			=						{}


class   lowercase      (       a       ):
							lowercase__  :    List[str]									=							VOCAB_FILES_NAMES
							lowercase__  :    str									=							PRETRAINED_VOCAB_FILES_MAP
							lowercase__  :    Tuple									=							PRETRAINED_INIT_CONFIGURATION
							lowercase__  :    Optional[int]									=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase__  :    str									=							HerbertTokenizer




							def __init__(  self				:   Dict		,							_UpperCamelCase				:   Any=None		,							_UpperCamelCase				:   Any=None		,							_UpperCamelCase				:   Optional[int]=None		,							_UpperCamelCase				:   Optional[int]="<s>"		,							_UpperCamelCase				:   Union[str, Any]="<unk>"		,							_UpperCamelCase				:   List[str]="<pad>"		,							_UpperCamelCase				:   List[str]="<mask>"		,							_UpperCamelCase				:   Tuple="</s>"		,							**_UpperCamelCase				:   Any		,							)   ->			str:



												'''simple docstring'''

												super().__init__(
												    _UpperCamelCase		,							_UpperCamelCase		,							tokenizer_file=_UpperCamelCase		,							cls_token=_UpperCamelCase		,							unk_token=_UpperCamelCase		,							pad_token=_UpperCamelCase		,							mask_token=_UpperCamelCase		,							sep_token=_UpperCamelCase		,							**_UpperCamelCase		,							)




							def 		__snake_case(  self				:   Optional[Any]		,							_UpperCamelCase				:   List[int]		,							_UpperCamelCase				:   Optional[List[int]] = None )   ->			List[int]:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =    [self.cls_token_id]
												SCREAMING_SNAKE_CASE           =    [self.sep_token_id]
												if token_ids_a is None:
																	return cls + token_ids_a + sep

												return cls + token_ids_a + sep + token_ids_a + sep




							def 		__snake_case(  self				:   Any		,							_UpperCamelCase				:   List[int]		,							_UpperCamelCase				:   Optional[List[int]] = None		,							_UpperCamelCase				:   bool = False )   ->			List[int]:



												'''simple docstring'''

												if already_has_special_tokens:
																	return super().get_special_tokens_mask(
																	    token_ids_a=_UpperCamelCase		,							token_ids_a=_UpperCamelCase		,							already_has_special_tokens=_UpperCamelCase )

												if token_ids_a is None:
																	return [1] + ([0] * len(_UpperCamelCase )) + [1]
												return [1] + ([0] * len(_UpperCamelCase )) + [1] + ([0] * len(_UpperCamelCase )) + [1]




							def 		__snake_case(  self				:   Union[str, Any]		,							_UpperCamelCase				:   List[int]		,							_UpperCamelCase				:   Optional[List[int]] = None )   ->			List[int]:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =    [self.sep_token_id]
												SCREAMING_SNAKE_CASE           =    [self.cls_token_id]

												if token_ids_a is None:
																	return len(cls + token_ids_a + sep ) * [0]
												return len(cls + token_ids_a + sep ) * [0] + len(token_ids_a + sep ) * [1]





							def 		__snake_case(  self				:   str		,							_UpperCamelCase				:   str		,							_UpperCamelCase				:   Optional[str] = None )   ->			Tuple[str]:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =    self._tokenizer.model.save(_UpperCamelCase		,							name=_UpperCamelCase )
												return tuple(_UpperCamelCase )




