




import os
import re
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


SCREAMING_SNAKE_CASE__     :     Union[str, Any]		    =       logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__     :     Optional[Any]		    =       {"vocab_file": "spiece.model"}

SCREAMING_SNAKE_CASE__     :     Optional[Any]		    =       {
    "vocab_file": {
        "google/bigbird-roberta-base": "https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model",
        "google/bigbird-roberta-large": (
            "https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model"
        ),
        "google/bigbird-base-trivia-itc": (
            "https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model"
        ),
    }
}

SCREAMING_SNAKE_CASE__     :     List[Any]		    =       {
    "google/bigbird-roberta-base": 40_96,
    "google/bigbird-roberta-large": 40_96,
    "google/bigbird-base-trivia-itc": 40_96,
}



class       a_       (     SCREAMING_SNAKE_CASE__     ):
	A    							= VOCAB_FILES_NAMES
	A    							= PRETRAINED_VOCAB_FILES_MAP
	A    							= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	A    							= ['''input_ids''', '''attention_mask''']
	A    							= []





	def __init__(							self      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE="<unk>"      ,     SCREAMING_SNAKE_CASE="<s>"      ,     SCREAMING_SNAKE_CASE="</s>"      ,     SCREAMING_SNAKE_CASE="<pad>"      ,     SCREAMING_SNAKE_CASE="[SEP]"      ,     SCREAMING_SNAKE_CASE="[MASK]"      ,     SCREAMING_SNAKE_CASE="[CLS]"      ,     SCREAMING_SNAKE_CASE = None      ,     **SCREAMING_SNAKE_CASE      ,     )  ->					None:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						AddedToken(SCREAMING_SNAKE_CASE      ,     lstrip=SCREAMING_SNAKE_CASE      ,     rstrip=SCREAMING_SNAKE_CASE      ) if isinstance(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ) else bos_token
				SCREAMING_SNAKE_CASE_								=						AddedToken(SCREAMING_SNAKE_CASE      ,     lstrip=SCREAMING_SNAKE_CASE      ,     rstrip=SCREAMING_SNAKE_CASE      ) if isinstance(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ) else eos_token
				SCREAMING_SNAKE_CASE_								=						AddedToken(SCREAMING_SNAKE_CASE      ,     lstrip=SCREAMING_SNAKE_CASE      ,     rstrip=SCREAMING_SNAKE_CASE      ) if isinstance(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ) else unk_token
				SCREAMING_SNAKE_CASE_								=						AddedToken(SCREAMING_SNAKE_CASE      ,     lstrip=SCREAMING_SNAKE_CASE      ,     rstrip=SCREAMING_SNAKE_CASE      ) if isinstance(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ) else pad_token
				SCREAMING_SNAKE_CASE_								=						AddedToken(SCREAMING_SNAKE_CASE      ,     lstrip=SCREAMING_SNAKE_CASE      ,     rstrip=SCREAMING_SNAKE_CASE      ) if isinstance(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ) else cls_token
				SCREAMING_SNAKE_CASE_								=						AddedToken(SCREAMING_SNAKE_CASE      ,     lstrip=SCREAMING_SNAKE_CASE      ,     rstrip=SCREAMING_SNAKE_CASE      ) if isinstance(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ) else sep_token

				# Mask token behave like a normal word, i.e. include the space before it
				SCREAMING_SNAKE_CASE_								=						AddedToken(SCREAMING_SNAKE_CASE      ,     lstrip=SCREAMING_SNAKE_CASE      ,     rstrip=SCREAMING_SNAKE_CASE      ) if isinstance(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ) else mask_token

				SCREAMING_SNAKE_CASE_								=						{} if sp_model_kwargs is None else sp_model_kwargs

				super().__init__(
				    bos_token=SCREAMING_SNAKE_CASE      ,     eos_token=SCREAMING_SNAKE_CASE      ,     unk_token=SCREAMING_SNAKE_CASE      ,     pad_token=SCREAMING_SNAKE_CASE      ,     sep_token=SCREAMING_SNAKE_CASE      ,     mask_token=SCREAMING_SNAKE_CASE      ,     cls_token=SCREAMING_SNAKE_CASE      ,     sp_model_kwargs=self.sp_model_kwargs      ,     **SCREAMING_SNAKE_CASE      ,     )

				SCREAMING_SNAKE_CASE_								=						vocab_file

				SCREAMING_SNAKE_CASE_								=						spm.SentencePieceProcessor(**self.sp_model_kwargs      )
				self.sp_model.Load(SCREAMING_SNAKE_CASE      )





	@property
	def 						A_(							self      )  ->					List[str]:




				"""simple docstring"""



				return self.sp_model.get_piece_size()





	def 						A_(							self      )  ->					Any:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						{self.convert_ids_to_tokens(SCREAMING_SNAKE_CASE      ): i for i in range(self.vocab_size      )}
				vocab.update(self.added_tokens_encoder      )
				return vocab





	def __getstate__(							self      )  ->					str:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						self.__dict__.copy()
				SCREAMING_SNAKE_CASE_								=						None
				return state





	def __setstate__(							self      ,     SCREAMING_SNAKE_CASE      )  ->					Dict:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						d

				# for backward compatibility
				if not hasattr(self      ,     'sp_model_kwargs'      ):
							SCREAMING_SNAKE_CASE_								=						{}

				SCREAMING_SNAKE_CASE_								=						spm.SentencePieceProcessor(**self.sp_model_kwargs      )
				self.sp_model.Load(self.vocab_file      )





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					List[str]:




				"""simple docstring"""



				return self.sp_model.encode(SCREAMING_SNAKE_CASE      ,     out_type=SCREAMING_SNAKE_CASE      )





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					Any:




				"""simple docstring"""



				return self.sp_model.piece_to_id(SCREAMING_SNAKE_CASE      )





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					str:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						self.sp_model.IdToPiece(SCREAMING_SNAKE_CASE      )
				return token





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					Optional[Any]:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						[]
				SCREAMING_SNAKE_CASE_								=						''
				SCREAMING_SNAKE_CASE_								=						False
				for token in tokens:
							# make sure that special tokens are not decoded using sentencepiece model
							if token in self.all_special_tokens:
										if not prev_is_special:
													out_string += " "
										out_string += self.sp_model.decode(SCREAMING_SNAKE_CASE      ) + token
										SCREAMING_SNAKE_CASE_								=						True
										SCREAMING_SNAKE_CASE_								=						[]
							else:
										current_sub_tokens.append(SCREAMING_SNAKE_CASE      )
										SCREAMING_SNAKE_CASE_								=						False
				out_string += self.sp_model.decode(SCREAMING_SNAKE_CASE      )
				return out_string.strip()





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE = False      ,     SCREAMING_SNAKE_CASE = None      ,     SCREAMING_SNAKE_CASE = True      ,     **SCREAMING_SNAKE_CASE      ,     )  ->					str:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						kwargs.pop('use_source_tokenizer'      ,     SCREAMING_SNAKE_CASE      )

				SCREAMING_SNAKE_CASE_								=						self.convert_ids_to_tokens(SCREAMING_SNAKE_CASE      ,     skip_special_tokens=SCREAMING_SNAKE_CASE      )

				# To avoid mixing byte-level and unicode for byte-level BPT
				# we need to build string separately for added tokens and byte-level tokens
				# cf. https://github.com/huggingface/transformers/issues/1133
				SCREAMING_SNAKE_CASE_								=						[]
				SCREAMING_SNAKE_CASE_								=						[]
				for token in filtered_tokens:
							if skip_special_tokens and token in self.all_special_ids:
										continue
							if token in self.added_tokens_encoder:
										if current_sub_text:
													sub_texts.append(self.convert_tokens_to_string(SCREAMING_SNAKE_CASE      )      )
													SCREAMING_SNAKE_CASE_								=						[]
										sub_texts.append(SCREAMING_SNAKE_CASE      )
							else:
										current_sub_text.append(SCREAMING_SNAKE_CASE      )
				if current_sub_text:
							sub_texts.append(self.convert_tokens_to_string(SCREAMING_SNAKE_CASE      )      )

				# Mimic the behavior of the Rust tokenizer:
				# No space before [MASK] and [SEP]
				if spaces_between_special_tokens:
							SCREAMING_SNAKE_CASE_								=						re.sub(r' (\[(MASK|SEP)\])'      ,     r'\1'      ,     ' '.join(SCREAMING_SNAKE_CASE      )      )
				else:
							SCREAMING_SNAKE_CASE_								=						''.join(SCREAMING_SNAKE_CASE      )

				SCREAMING_SNAKE_CASE_								=						(
				    clean_up_tokenization_spaces
				    if clean_up_tokenization_spaces is not None
				    else self.clean_up_tokenization_spaces
				)
				if clean_up_tokenization_spaces:
							SCREAMING_SNAKE_CASE_								=						self.clean_up_tokenization(SCREAMING_SNAKE_CASE      )
							return clean_text
				else:
							return text





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE = None      )  ->					Tuple[str]:




				"""simple docstring"""



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

				if os.path.abspath(self.vocab_file      ) != os.path.abspath(SCREAMING_SNAKE_CASE      ) and os.path.isfile(self.vocab_file      ):
							copyfile(self.vocab_file      ,     SCREAMING_SNAKE_CASE      )
				elif not os.path.isfile(self.vocab_file      ):
							with open(SCREAMING_SNAKE_CASE      ,     'wb'      ) as fi:
										SCREAMING_SNAKE_CASE_								=						self.sp_model.serialized_model_proto()
										fi.write(SCREAMING_SNAKE_CASE      )

				return (out_vocab_file,)





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE = None      )  ->					List[int]:




				"""simple docstring"""



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





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE = None      ,     SCREAMING_SNAKE_CASE = False      )  ->					List[int]:




				"""simple docstring"""



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

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





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE = 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]






class       a_       :





	def __init__(							self      ,     SCREAMING_SNAKE_CASE = ""      ,     SCREAMING_SNAKE_CASE = 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 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					tuple[str, str, str]:




				"""simple docstring"""



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

							x += 1

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





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					None:




				"""simple docstring"""



				for word in words:
							self.insert(SCREAMING_SNAKE_CASE      )





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					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=SCREAMING_SNAKE_CASE      ,     is_leaf=SCREAMING_SNAKE_CASE      )

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

							# 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(SCREAMING_SNAKE_CASE      )

							# 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(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      )
										SCREAMING_SNAKE_CASE_								=						aux_node

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





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					bool:




				"""simple docstring"""



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





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					bool:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						self.nodes.get(word[0]      ,     SCREAMING_SNAKE_CASE      )
				if not incoming_node:
							return False
				else:
							SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_								=						incoming_node.match(
							    SCREAMING_SNAKE_CASE      )
							# 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(SCREAMING_SNAKE_CASE      )
							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 						A_(							self      ,     SCREAMING_SNAKE_CASE = 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 lowercase    (  )			->							bool:


			'''simple docstring'''







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

			assert all(root.find(SCREAMING_SNAKE_CASE ) 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    (  )			->							None:


			'''simple docstring'''







			assert test_trie()

def lowercase    (  )			->							None:


			'''simple docstring'''







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

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


if __name__ == "__main__":
				main()
