





import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import AddedToken, PreTrainedTokenizerFast
from ...utils import logging


__lowerCAmelCase			:Tuple	 =     logging.get_logger(__name__)

__lowerCAmelCase			:Union[str, Any]	 =     {'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

__lowerCAmelCase			:List[Any]	 =     {
    'vocab_file': {
        'TsinghuaAI/CPM-Generate': 'https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model',
    },
    'tokenizer_file': {
        'TsinghuaAI/CPM-Generate': 'https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/tokenizer.json',
    },
}






class 							_a(     __A     ):







		def __init__(     self			,    __snake_case=None			,    __snake_case=None			,    __snake_case=False			,    __snake_case=True			,    __snake_case=False			,    __snake_case="<s>"			,    __snake_case="</s>"			,    __snake_case="<unk>"			,    __snake_case="<sep>"			,    __snake_case="<pad>"			,    __snake_case="<cls>"			,    __snake_case="<mask>"			,    __snake_case=["<eop>", "<eod>"]			,    **__snake_case			,    )   ->   Tuple:


							'''simple docstring'''

							_snake_case							:       Dict												= AddedToken(__snake_case			,    lstrip=__snake_case			,    rstrip=__snake_case					) if isinstance(__snake_case			,    __snake_case					) else mask_token

							super().__init__(
							    vocab_file=__snake_case			,    tokenizer_file=__snake_case			,    do_lower_case=__snake_case			,    remove_space=__snake_case			,    keep_accents=__snake_case			,    bos_token=__snake_case			,    eos_token=__snake_case			,    unk_token=__snake_case			,    sep_token=__snake_case			,    pad_token=__snake_case			,    cls_token=__snake_case			,    mask_token=__snake_case			,    additional_special_tokens=__snake_case			,    **__snake_case			,    )

							_snake_case							:       Tuple												= 3
							_snake_case							:       List[str]												= do_lower_case
							_snake_case							:       List[str]												= remove_space
							_snake_case							:       List[Any]												= keep_accents
							_snake_case							:       List[Any]												= vocab_file
							_snake_case							:       Any												= False if not self.vocab_file else True

							try:
												import jieba
							except ModuleNotFoundError as error:
												raise error.__class__(
												    "You need to install jieba to use CpmTokenizer or CpmTokenizerFast. "
												    "See https://pypi.org/project/jieba/ for installation."					)
							_snake_case							:       str												= jieba
							_snake_case							:       Tuple												= str.maketrans(" \n"			,    "\u2582\u2583"					)







		def 							lowercase							(     self			,    __snake_case			,    __snake_case = None					)   ->   List[int]:


							'''simple docstring'''

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







		def 							lowercase							(     self			,    __snake_case			,    __snake_case = None					)   ->   List[int]:


							'''simple docstring'''

							_snake_case							:       List[str]												= [self.sep_token_id]
							_snake_case							:       Dict												= [2]

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







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


							'''simple docstring'''

							if not self.can_save_slow_tokenizer:
												raise ValueError(
												    "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
												    "tokenizer."					)

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

							if os.path.abspath(self.vocab_file					) != os.path.abspath(__snake_case					):
												copyfile(self.vocab_file			,    __snake_case					)

							return (out_vocab_file,)







		def 							lowercase							(     self			,    __snake_case			,    *__snake_case			,    **__snake_case					)   ->   Dict:


							'''simple docstring'''

							_snake_case							:       Tuple												= [
							    " ".join([x.translate(self.translator					) for x in self.jieba.cut(__snake_case			,    cut_all=__snake_case					)]					)
							    for text in batch_text_or_text_pairs
							]
							return super()._batch_encode_plus(__snake_case			,    *__snake_case			,    **__snake_case					)







		def 							lowercase							(     self			,    *__snake_case			,    **__snake_case					)   ->   str:


							'''simple docstring'''

							_snake_case							:       Any												= super()._decode(*__snake_case			,    **__snake_case					)
							_snake_case							:       List[Any]												= text.replace(" "			,    ""					).replace("\u2582"			,    " "					).replace("\u2583"			,    "\n"					)
							return text






from __future__ import annotations

from collections.abc import Generator







def  A					(				UpperCAmelCase					):
					if not isinstance(UpperCAmelCase	,	UpperCAmelCase					) or n < 1:
										raise Exception("Sequence only defined for positive integers"					)

					yield n
					while n != 1:
										if n % 2 == 0:
															n //= 2
										else:
															_snake_case							:       Any												= 3 * n + 1
										yield n







def  A					(				):
					_snake_case							:       Dict												= 43
					_snake_case							:       List[str]												= tuple(collatz_sequence(UpperCAmelCase					)					)
					print(UpperCAmelCase					)
					print(F"""Collatz sequence from {n} took {len(UpperCAmelCase					)} steps."""					)


if __name__ == "__main__":
							main()