
'''simple docstring'''






class     __snake_case		:
					def __init__(     self,    A = "",    A = False      ):

									"""simple docstring"""


									lowerCamelCase					:			dict[str, RadixNode]									= {}

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

									lowerCamelCase					:			Optional[Any]									= prefix
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			List[Any]									= 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      ):

									"""simple docstring"""


									for word in words:
													self.insert(A      )
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									if self.prefix == word:
													lowerCamelCase					:			List[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					:			Optional[Any]									= RadixNode(prefix=A,    is_leaf=A      )

									else:
													lowerCamelCase					:			Union[str, Any]									= self.nodes[word[0]]
													lowerCamelCase			, lowerCamelCase			, lowerCamelCase					:			Tuple									= 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:
																	lowerCamelCase					:			List[str]									= remaining_prefix

																	lowerCamelCase					:			str									= self.nodes[matching_string[0]]
																	lowerCamelCase					:			Dict									= RadixNode(A,    A      )
																	lowerCamelCase					:			List[Any]									= aux_node

																	if remaining_word == "":
																					lowerCamelCase					:			Optional[int]									= True
																	else:
																					self.nodes[matching_string[0]].insert(A      )
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			str									= self.nodes.get(word[0],    A      )
									if not incoming_node:
													return False
									else:
													lowerCamelCase			, lowerCamelCase			, lowerCamelCase					:			str									= 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      ):

									"""simple docstring"""


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

																					return True




					def     UpperCAmelCase_							(     self,    A = 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    UpperCAmelCase							(  ):
				lowerCamelCase					:			List[Any]									= 'banana bananas bandana band apple all beast'.split()
				lowerCamelCase					:			List[Any]									= 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    UpperCAmelCase							(  ):
				assert test_trie()





def    UpperCAmelCase							(  ):
				lowerCamelCase					:			List[Any]									= RadixNode()
				lowerCamelCase					:			Any									= '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 os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


A			      =      logging.get_logger(__name__)


A			      =      '▁'

A			      =      {'vocab_file': 'spiece.model'}

A			      =      {
    'vocab_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model'
        )
    }
}

A			      =      {
    'google/reformer-crime-and-punishment': 52_4288,
}




class     __snake_case		(   a__):
					_lowerCAmelCase			     =	VOCAB_FILES_NAMES
					_lowerCAmelCase			     =	PRETRAINED_VOCAB_FILES_MAP
					_lowerCAmelCase			     =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					_lowerCAmelCase			     =	['''input_ids''', '''attention_mask''']
					def __init__(     self,    A,    A="</s>",    A="<unk>",    A=[],    A = None,    **A,    ):

									"""simple docstring"""


									lowerCamelCase					:			str									= {} if sp_model_kwargs is None else sp_model_kwargs

									super().__init__(
									    eos_token=A,    unk_token=A,    additional_special_tokens=A,    sp_model_kwargs=self.sp_model_kwargs,    **A,    )

									lowerCamelCase					:			Any									= vocab_file
									lowerCamelCase					:			List[Any]									= spm.SentencePieceProcessor(**self.sp_model_kwargs      )
									self.sp_model.Load(A      )
					@property
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									return self.sp_model.get_piece_size()
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			int									= {self.convert_ids_to_tokens(A      ): i for i in range(self.vocab_size      )}
									vocab.update(self.added_tokens_encoder      )
									return vocab
					def __getstate__(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Union[str, Any]									= self.__dict__.copy()
									lowerCamelCase					:			List[Any]									= None
									return state
					def __setstate__(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			int									= d

									# for backward compatibility
									if not hasattr(self,    'sp_model_kwargs'      ):
													lowerCamelCase					:			List[str]									= {}

									lowerCamelCase					:			Optional[int]									= spm.SentencePieceProcessor(**self.sp_model_kwargs      )
									self.sp_model.Load(self.vocab_file      )
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									return self.sp_model.encode(A,    out_type=A      )
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									return self.sp_model.piece_to_id(A      )
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									if index < self.sp_model.get_piece_size():
													lowerCamelCase					:			Union[str, Any]									= self.sp_model.IdToPiece(A      )
									return token
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			Union[str, Any]									= []
									lowerCamelCase					:			Optional[int]									= ''
									for token in tokens:
													# make sure that special tokens are not decoded using sentencepiece model
													if token in self.all_special_tokens:
																	out_string += self.sp_model.decode(A      ) + token
																	lowerCamelCase					:			Any									= []
													else:
																	current_sub_tokens.append(A      )
									out_string += self.sp_model.decode(A      )
									return out_string.strip()




					def     UpperCAmelCase_							(     self,    A,    A = None      ):

									"""simple docstring"""


									if not os.path.isdir(A      ):
													logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''      )
													return
									lowerCamelCase					:			str									= os.path.join(
									    A,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']      )

									if os.path.abspath(self.vocab_file      ) != os.path.abspath(A      ) and os.path.isfile(self.vocab_file      ):
													copyfile(self.vocab_file,    A      )
									elif not os.path.isfile(self.vocab_file      ):
													with open(A,    'wb'      ) as fi:
																	lowerCamelCase					:			Optional[Any]									= self.sp_model.serialized_model_proto()
																	fi.write(A      )

									return (out_vocab_file,)
