
import os
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


lowerCamelCase__          =		logging.get_logger(__name__)

lowerCamelCase__          =		"""▁"""

lowerCamelCase__          =		{"""vocab_file""": """sentencepiece.bpe.model""", """monolingual_vocab_file""": """dict.txt"""}

lowerCamelCase__          =		{
    """vocab_file""": {
        """vinai/bartpho-syllable""": """https://huggingface.co/vinai/bartpho-syllable/resolve/main/sentencepiece.bpe.model""",
    },
    """monolingual_vocab_file""": {
        """vinai/bartpho-syllable""": """https://huggingface.co/vinai/bartpho-syllable/resolve/main/dict.txt""",
    },
}

lowerCamelCase__          =		{"""vinai/bartpho-syllable""": 1024}







class      A__							(     snake_case__	):
				lowercase			    =  VOCAB_FILES_NAMES
				lowercase			    =  PRETRAINED_VOCAB_FILES_MAP
				lowercase			    =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowercase			    =  ['input_ids', 'attention_mask']






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






							'''simple docstring'''







							lowerCAmelCase__      :      Union[str, Any]         =		AddedToken(a    ,     lstrip=a    ,     rstrip=a   ) if isinstance(a    ,     a   ) else mask_token

							lowerCAmelCase__      :      Tuple         =		{} if sp_model_kwargs is None else sp_model_kwargs

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

							lowerCAmelCase__      :      Optional[Any]         =		vocab_file
							lowerCAmelCase__      :      Optional[int]         =		monolingual_vocab_file
							lowerCAmelCase__      :      Dict         =		spm.SentencePieceProcessor(**self.sp_model_kwargs   )
							self.sp_model.Load(str(a   )   )

							# Load the reduced vocab

							# Keep order of special tokens for backward compatibility
							lowerCAmelCase__      :      Union[str, Any]         =		{}
							lowerCAmelCase__      :      Tuple         =		0
							for token in [bos_token, pad_token, eos_token, unk_token, sep_token, cls_token]:
										if str(a   ) not in self.fairseq_tokens_to_ids:
													lowerCAmelCase__      :      str         =		cnt
													cnt += 1
							with open(a    ,     'r'    ,     encoding='utf-8'   ) as f:
										for line in f.readlines():
													lowerCAmelCase__      :      Dict         =		line.strip().split()[0]
													lowerCAmelCase__      :      List[Any]         =		len(self.fairseq_tokens_to_ids   )
							if str(a   ) not in self.fairseq_tokens_to_ids:
										lowerCAmelCase__      :      Optional[Any]         =		len(self.fairseq_tokens_to_ids   )

							lowerCAmelCase__      :      str         =		{v: k for k, v in self.fairseq_tokens_to_ids.items()}






				def __getstate__(						self					:      List[Any]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Any         =		self.__dict__.copy()
							lowerCAmelCase__      :      Optional[Any]         =		None
							lowerCAmelCase__      :      Dict         =		self.sp_model.serialized_model_proto()
							return state






				def __setstate__(						self					:      str    ,     a					:      List[str]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      str         =		d

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

							lowerCAmelCase__      :      List[Any]         =		spm.SentencePieceProcessor(**self.sp_model_kwargs   )
							self.sp_model.LoadFromSerializedProto(self.sp_model_proto   )






				def 							_lowerCamelCase		(						self					:      int    ,     a					:      Dict    ,     a					:      Tuple = None   ):






							'''simple docstring'''







							if token_ids_a is None:
										return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
							lowerCAmelCase__      :      Tuple         =		[self.cls_token_id]
							lowerCAmelCase__      :      Optional[int]         =		[self.sep_token_id]
							return cls + token_ids_a + sep + sep + token_ids_a + sep






				def 							_lowerCamelCase		(						self					:      Dict    ,     a					:      Any    ,     a					:      Tuple = None    ,     a					:      str = False   ):






							'''simple docstring'''







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

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






				def 							_lowerCamelCase		(						self					:      Dict    ,     a					:      Dict    ,     a					:      List[str] = None   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Any         =		[self.sep_token_id]
							lowerCAmelCase__      :      List[str]         =		[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 + sep + token_ids_a + sep   ) * [0]






				@property
				def 							_lowerCamelCase		(						self					:      Any   ):






							'''simple docstring'''







							return len(self.fairseq_ids_to_tokens   )






				def 							_lowerCamelCase		(						self					:      Any   ):






							'''simple docstring'''







							lowerCAmelCase__      :      str         =		{self.convert_ids_to_tokens(a   ): i for i in range(self.vocab_size   )}
							vocab.update(self.added_tokens_encoder   )
							return vocab






				def 							_lowerCamelCase		(						self					:      List[str]    ,     a					:      List[Any]   ):






							'''simple docstring'''







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






				def 							_lowerCamelCase		(						self					:      List[str]    ,     a					:      Any   ):






							'''simple docstring'''







							if token in self.fairseq_tokens_to_ids:
										return self.fairseq_tokens_to_ids[token]
							else:
										return self.unk_token_id






				def 							_lowerCamelCase		(						self					:      Optional[int]    ,     a					:      List[str]   ):






							'''simple docstring'''







							return self.fairseq_ids_to_tokens[index]






				def 							_lowerCamelCase		(						self					:      int    ,     a					:      Dict   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Dict         =		''.join(a   ).replace(a    ,     ' '   ).strip()
							return out_string






				def 							_lowerCamelCase		(						self					:      Tuple    ,     a					:      Any    ,     a					:      str = None   ):






							'''simple docstring'''







							if not os.path.isdir(a   ):
										logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''   )
										return
							lowerCAmelCase__      :      Optional[int]         =		os.path.join(
							    a    ,     (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']   )
							lowerCAmelCase__      :      List[str]         =		os.path.join(
							    a    ,     (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['monolingual_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__      :      Union[str, Any]         =		self.sp_model.serialized_model_proto()
													fi.write(a   )

							if os.path.abspath(self.monolingual_vocab_file   ) != os.path.abspath(
							    a   ) and os.path.isfile(self.monolingual_vocab_file   ):
										copyfile(self.monolingual_vocab_file    ,     a   )
							elif not os.path.isfile(self.monolingual_vocab_file   ):
										with open(a    ,     'w'    ,     encoding='utf-8'   ) as fp:
													for token in self.fairseq_tokens_to_ids:
																if token not in self.all_special_tokens:
																			fp.write(f'''{str(a   )} \n'''   )

							return out_vocab_file, out_monolingual_vocab_file







class __lowerCamelCase :





	"""simple docstring"""






	def __init__(							self    ):
							"""simple docstring"""







							_UpperCAmelCase									=			{}  # Mapping from char to TrieNode
							_UpperCAmelCase									=			False

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							for word in words:
													self.insert(UpperCAmelCase    )

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							_UpperCAmelCase									=			self
							for char in word:
													if char not in curr.nodes:
																			_UpperCAmelCase									=			TrieNode()
													_UpperCAmelCase									=			curr.nodes[char]
							_UpperCAmelCase									=			True

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							_UpperCAmelCase									=			self
							for char in word:
													if char not in curr.nodes:
																			return False
													_UpperCAmelCase									=			curr.nodes[char]
							return curr.is_leaf

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							def _delete(UpperCAmelCase       ,    UpperCAmelCase       ,    UpperCAmelCase    ) -> bool:
													if index == len(UpperCAmelCase    ):
																			# If word does not exist
																			if not curr.is_leaf:
																									return False
																			_UpperCAmelCase									=			False
																			return len(curr.nodes    ) == 0
													_UpperCAmelCase									=			word[index]
													_UpperCAmelCase									=			curr.nodes.get(UpperCAmelCase    )
													# If char not in current trie node
													if not char_node:
																			return False
													# Flag to check if node can be deleted
													_UpperCAmelCase									=			_delete(UpperCAmelCase       ,    UpperCAmelCase       ,    index + 1    )
													if delete_curr:
																			del curr.nodes[char]
																			return len(curr.nodes    ) == 0
													return delete_curr

							_delete(self       ,    UpperCAmelCase       ,    0    )



def __A    (      __lowerCAmelCase ,		__lowerCAmelCase	)->  None:





						"""simple docstring"""



						if node.is_leaf:
												print(__lowerCAmelCase ,		end=' '	)

						for key, value in node.nodes.items():
												print_words(__lowerCAmelCase ,		word + key	)


def __A    (      )->  bool:





						"""simple docstring"""



						_UpperCAmelCase									=			'banana bananas bandana band apple all beast'.split()
						_UpperCAmelCase									=			TrieNode()
						root.insert_many(__lowerCAmelCase	)
						# print_words(root, "")
						assert all(root.find(__lowerCAmelCase	) for word in words	)
						assert root.find('banana'	)
						assert not root.find('bandanas'	)
						assert not root.find('apps'	)
						assert root.find('apple'	)
						assert root.find('all'	)
						root.delete('all'	)
						assert not root.find('all'	)
						root.delete('banana'	)
						assert not root.find('banana'	)
						assert root.find('bananas'	)
						return True


def __A    (      __lowerCAmelCase ,		__lowerCAmelCase	)->  None:





						"""simple docstring"""



						print(str(__lowerCAmelCase	) ,		'works!' if passes else 'doesn\'t work :('	)


def __A    (      )->  None:





						"""simple docstring"""



						assert test_trie()


def __A    (      )->  None:





						"""simple docstring"""



						print_results('Testing trie functionality' ,		test_trie()	)


if __name__ == "__main__":
		main()
