import collections
import os
from typing import List, Optional, Tuple

from transformers.utils import is_jieba_available, requires_backends


if is_jieba_available():
					import jieba

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


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

__UpperCamelCase	: Any    		=  {'vocab_file': 'vocab.txt'}

__UpperCamelCase	: str    		=  {
    'vocab_file': {
        'openbmb/cpm-ant-10b': 'https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt',
    },
}

__UpperCamelCase	: Optional[int]    		=  {
    'openbmb/cpm-ant-10b': 1024,
}
def    A			(					_lowercase		):
						SCREAMING_SNAKE_CASE							:					Optional[int]           =							collections.OrderedDict()
						with open(_lowercase	,						'''r'''	,						encoding='''utf-8'''		) as reader:
												SCREAMING_SNAKE_CASE							:					List[str]           =							reader.readlines()
						for index, token in enumerate(_lowercase		):
												SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							token.rstrip('''\n'''		)
												SCREAMING_SNAKE_CASE							:					Optional[int]           =							index
						return vocab





class       lowercase__		(     UpperCamelCase_):


						def __init__( self			:       Tuple					,	UpperCamelCase__			:       Optional[Any]					,	UpperCamelCase__			:       Union[str, Any]="<unk>"					,	UpperCamelCase__			:       List[Any]=200		):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							vocab
												SCREAMING_SNAKE_CASE							:					str           =							unk_token
												SCREAMING_SNAKE_CASE							:					Any           =							max_input_chars_per_word



						def  __A ( self			:       Any					,	UpperCamelCase__			:       Dict		):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					List[Any]           =							list(UpperCamelCase__		)
												if len(UpperCamelCase__		) > self.max_input_chars_per_word:
																		return [self.unk_token]

												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							0
												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							[]
												while start < len(UpperCamelCase__		):
																		SCREAMING_SNAKE_CASE							:					List[Any]           =							len(UpperCamelCase__		)
																		SCREAMING_SNAKE_CASE							:					Any           =							None
																		while start < end:
																								SCREAMING_SNAKE_CASE							:					int           =							''''''.join(chars[start:end]		)
																								if substr in self.vocab:
																														SCREAMING_SNAKE_CASE							:					List[Any]           =							substr
																														break
																								end -= 1
																		if cur_substr is None:
																								sub_tokens.append(self.unk_token		)
																								start += 1
																		else:
																								sub_tokens.append(UpperCamelCase__		)
																								SCREAMING_SNAKE_CASE							:					List[str]           =							end

												return sub_tokens






class       lowercase__		(     UpperCamelCase_):
						UpperCamelCase_  =	VOCAB_FILES_NAMES
						UpperCamelCase_  =	PRETRAINED_VOCAB_FILES_MAP
						UpperCamelCase_  =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						UpperCamelCase_  =	["""input_ids""", """attention_mask"""]
						UpperCamelCase_  =	False


						def __init__( self			:       List[Any]					,	UpperCamelCase__			:       Optional[int]					,	UpperCamelCase__			:       Union[str, Any]="<d>"					,	UpperCamelCase__			:       Union[str, Any]="</d>"					,	UpperCamelCase__			:       Dict="<s>"					,	UpperCamelCase__			:       int="</s>"					,	UpperCamelCase__			:       Optional[Any]="<pad>"					,	UpperCamelCase__			:       Union[str, Any]="<unk>"					,	UpperCamelCase__			:       int="</n>"					,	UpperCamelCase__			:       List[str]="</_>"					,	UpperCamelCase__			:       Tuple="left"					,	**UpperCamelCase__			:       List[str]					,	):





												'''simple docstring'''





												requires_backends(self					,	['''jieba''']		)
												super().__init__(
												    bod_token=UpperCamelCase__					,	eod_token=UpperCamelCase__					,	bos_token=UpperCamelCase__					,	eos_token=UpperCamelCase__					,	pad_token=UpperCamelCase__					,	unk_token=UpperCamelCase__					,	line_token=UpperCamelCase__					,	space_token=UpperCamelCase__					,	padding_side=UpperCamelCase__					,	**UpperCamelCase__					,	)
												SCREAMING_SNAKE_CASE							:					List[str]           =							bod_token
												SCREAMING_SNAKE_CASE							:					Optional[int]           =							eod_token
												SCREAMING_SNAKE_CASE							:					Dict           =							load_vocab(UpperCamelCase__		)
												SCREAMING_SNAKE_CASE							:					Any           =							self.encoder[space_token]
												SCREAMING_SNAKE_CASE							:					Any           =							self.encoder[line_token]

												del self.encoder[space_token]
												del self.encoder[line_token]

												SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							collections.OrderedDict(sorted(self.encoder.items()					,	key=lambda UpperCamelCase__		: x[1]		)		)
												SCREAMING_SNAKE_CASE							:					str           =							{v: k for k, v in self.encoder.items()}

												SCREAMING_SNAKE_CASE							:					Optional[int]           =							WordpieceTokenizer(vocab=self.encoder					,	unk_token=self.unk_token		)


						@property
						def  __A ( self			:       Union[str, Any]		):





												'''simple docstring'''





												return self.encoder[self.bod_token]


						@property
						def  __A ( self			:       Tuple		):





												'''simple docstring'''





												return self.encoder[self.eod_token]


						@property
						def  __A ( self			:       Optional[int]		):





												'''simple docstring'''





												return self.encoder["\n"]


						@property
						def  __A ( self			:       Optional[Any]		):





												'''simple docstring'''





												return len(self.encoder		)


						def  __A ( self			:       int		):





												'''simple docstring'''





												return dict(self.encoder					,	**self.added_tokens_encoder		)


						def  __A ( self			:       Optional[int]					,	UpperCamelCase__			:       List[str]		):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					str           =							[]
												for x in jieba.cut(UpperCamelCase__					,	cut_all=UpperCamelCase__		):
																		output_tokens.extend(self.wordpiece_tokenizer.tokenize(UpperCamelCase__		)		)
												return output_tokens


						def  __A ( self			:       List[Any]					,	UpperCamelCase__			:       Union[str, Any]					,	**UpperCamelCase__			:       Dict		):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							[i for i in token_ids if i >= 0]
												SCREAMING_SNAKE_CASE							:					int           =							[
												    x for x in token_ids if x != self.pad_token_id and x != self.eos_token_id and x != self.bos_token_id
												]
												return super()._decode(UpperCamelCase__					,	**UpperCamelCase__		)


						def  __A ( self			:       Dict					,	UpperCamelCase__			:       Any		):





												'''simple docstring'''





												return token in self.encoder


						def  __A ( self			:       int					,	UpperCamelCase__			:       List[str]		):





												'''simple docstring'''





												return "".join(UpperCamelCase__		)


						def  __A ( self			:       Any					,	UpperCamelCase__			:       Optional[Any]		):





												'''simple docstring'''





												return self.encoder.get(UpperCamelCase__					,	self.encoder.get(self.unk_token		)		)


						def  __A ( self			:       str					,	UpperCamelCase__			:       str		):





												'''simple docstring'''





												return self.decoder.get(UpperCamelCase__					,	self.unk_token		)


						def  __A ( self			:       int					,	UpperCamelCase__			:       str					,	UpperCamelCase__			:       Optional[str] = None		):





												'''simple docstring'''





												if os.path.isdir(UpperCamelCase__		):
																		SCREAMING_SNAKE_CASE							:					List[str]           =							os.path.join(
																		    UpperCamelCase__					,	(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']		)
												else:
																		SCREAMING_SNAKE_CASE							:					int           =							(filename_prefix + '''-''' if filename_prefix else '''''') + save_directory
												SCREAMING_SNAKE_CASE							:					List[Any]           =							0
												if " " in self.encoder:
																		SCREAMING_SNAKE_CASE							:					Optional[Any]           =							self.encoder[''' ''']
																		del self.encoder[" "]
												if "\n" in self.encoder:
																		SCREAMING_SNAKE_CASE							:					str           =							self.encoder['''\n''']
																		del self.encoder["\n"]
												SCREAMING_SNAKE_CASE							:					str           =							collections.OrderedDict(sorted(self.encoder.items()					,	key=lambda UpperCamelCase__		: x[1]		)		)
												with open(UpperCamelCase__					,	'''w'''					,	encoding='''utf-8'''		) as writer:
																		for token, token_index in self.encoder.items():
																								if index != token_index:
																														logger.warning(
																														    f"""Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive."""
																														    ''' Please check that the vocabulary is not corrupted!'''		)
																														SCREAMING_SNAKE_CASE							:					Optional[Any]           =							token_index
																								writer.write(token + '''\n'''		)
																								index += 1
												return (vocab_file,)


						def  __A ( self			:       Union[str, Any]					,	UpperCamelCase__			:       List[int]					,	UpperCamelCase__			:       List[int] = None		):





												'''simple docstring'''





												if token_ids_a is None:
																		return [self.bos_token_id] + token_ids_a
												return [self.bos_token_id] + token_ids_a + [self.bos_token_id] + token_ids_a



						def  __A ( self			:       Optional[Any]					,	UpperCamelCase__			:       List[int]					,	UpperCamelCase__			:       Optional[List[int]] = None					,	UpperCamelCase__			:       bool = False		):





												'''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 not None:
																		return [1] + ([0] * len(UpperCamelCase__		)) + [1] + ([0] * len(UpperCamelCase__		))
												return [1] + ([0] * len(UpperCamelCase__		))






from __future__ import annotations

from typing import Any





class       lowercase__		(     UpperCamelCase_):
						pass






class       lowercase__		:


						def __init__( self			:       Union[str, Any]					,	UpperCamelCase__			:       Any		):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					Any           =							data
												SCREAMING_SNAKE_CASE							:					Node | None           =							None


						def __iter__( self			:       Any		):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					List[str]           =							self
												SCREAMING_SNAKE_CASE							:					Tuple           =							[]
												while node:
																		if node in visited:
																								raise ContainsLoopError
																		visited.append(UpperCamelCase__		)
																		yield node.data
																		SCREAMING_SNAKE_CASE							:					Dict           =							node.next_node



						@property
						def  __A ( self			:       Optional[int]		):





												'''simple docstring'''





												try:
																		list(self		)
																		return False
												except ContainsLoopError:
																		return True


if __name__ == "__main__":
					__UpperCamelCase	: List[Any]    		=  Node(1)
					__UpperCamelCase	: str    		=  Node(2)
					__UpperCamelCase	: Dict    		=  Node(3)
					__UpperCamelCase	: List[Any]    		=  Node(4)
					print(root_node.has_loop)  # False
					__UpperCamelCase	: int    		=  root_node.next_node
					print(root_node.has_loop)  # True

					__UpperCamelCase	: Union[str, Any]    		=  Node(5)
					__UpperCamelCase	: Union[str, Any]    		=  Node(6)
					__UpperCamelCase	: List[Any]    		=  Node(5)
					__UpperCamelCase	: List[str]    		=  Node(6)
					print(root_node.has_loop)  # False

					__UpperCamelCase	: List[Any]    		=  Node(1)
					print(root_node.has_loop)  # False





