


"""simple docstring"""




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		= logging.get_logger(__name__)

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

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

__UpperCamelCase		= {
    '''openbmb/cpm-ant-10b''': 1024,
}


def        lowercase     (SCREAMING_SNAKE_CASE_						:							Union[str, Any]    )  ->		Any:
						SCREAMING_SNAKE_CASE						=   collections.OrderedDict()
						with open(__lowerCamelCase					,     'r'					,     encoding='utf-8'    ) as reader:
												SCREAMING_SNAKE_CASE						=   reader.readlines()
						for index, token in enumerate(__lowerCamelCase    ):
												SCREAMING_SNAKE_CASE						=   token.rstrip('\n'    )
												SCREAMING_SNAKE_CASE						=   index
						return vocab
class    lowerCAmelCase      (   A_       ):




		'''simple docstring'''







		def __init__(      self		,			lowerCAmelCase__		,			lowerCAmelCase__="<unk>"		,			lowerCAmelCase__=200							)	->				List[Any]:
								SCREAMING_SNAKE_CASE						=   vocab
								SCREAMING_SNAKE_CASE						=   unk_token
								SCREAMING_SNAKE_CASE						=   max_input_chars_per_word







		def 				__A		(      self		,			lowerCAmelCase__							)	->				Optional[int]:
								SCREAMING_SNAKE_CASE						=   list(snake_case__							)
								if len(snake_case__							) > self.max_input_chars_per_word:
														return [self.unk_token]

								SCREAMING_SNAKE_CASE						=   0
								SCREAMING_SNAKE_CASE						=   []
								while start < len(snake_case__							):
														SCREAMING_SNAKE_CASE						=   len(snake_case__							)
														SCREAMING_SNAKE_CASE						=   None
														while start < end:
																				SCREAMING_SNAKE_CASE						=   "".join(chars[start:end]							)
																				if substr in self.vocab:
																										SCREAMING_SNAKE_CASE						=   substr
																										break
																				end -= 1
														if cur_substr is None:
																				sub_tokens.append(self.unk_token							)
																				start += 1
														else:
																				sub_tokens.append(snake_case__							)
																				SCREAMING_SNAKE_CASE						=   end

								return sub_tokens





class    lowerCAmelCase      (   A_       ):




		'''simple docstring'''







		SCREAMING_SNAKE_CASE_		:	List[Any]														=	VOCAB_FILES_NAMES
		SCREAMING_SNAKE_CASE_		:	Dict														=	PRETRAINED_VOCAB_FILES_MAP
		SCREAMING_SNAKE_CASE_		:	List[str]														=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		SCREAMING_SNAKE_CASE_		:	Dict														=	["input_ids", "attention_mask"]
		SCREAMING_SNAKE_CASE_		:	Dict														=	False







		def __init__(      self		,			lowerCAmelCase__		,			lowerCAmelCase__="<d>"		,			lowerCAmelCase__="</d>"		,			lowerCAmelCase__="<s>"		,			lowerCAmelCase__="</s>"		,			lowerCAmelCase__="<pad>"		,			lowerCAmelCase__="<unk>"		,			lowerCAmelCase__="</n>"		,			lowerCAmelCase__="</_>"		,			lowerCAmelCase__="left"		,			**lowerCAmelCase__		,			)	->				Optional[int]:
								requires_backends(self		,			['jieba']							)
								super().__init__(
								    bod_token=snake_case__		,			eod_token=snake_case__		,			bos_token=snake_case__		,			eos_token=snake_case__		,			pad_token=snake_case__		,			unk_token=snake_case__		,			line_token=snake_case__		,			space_token=snake_case__		,			padding_side=snake_case__		,			**snake_case__		,			)
								SCREAMING_SNAKE_CASE						=   bod_token
								SCREAMING_SNAKE_CASE						=   eod_token
								SCREAMING_SNAKE_CASE						=   load_vocab(snake_case__							)
								SCREAMING_SNAKE_CASE						=   self.encoder[space_token]
								SCREAMING_SNAKE_CASE						=   self.encoder[line_token]

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

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

								SCREAMING_SNAKE_CASE						=   WordpieceTokenizer(vocab=self.encoder		,			unk_token=self.unk_token							)







		@property
		def 				__A		(      self							)	->				str:
								return self.encoder[self.bod_token]







		@property
		def 				__A		(      self							)	->				List[str]:
								return self.encoder[self.eod_token]







		@property
		def 				__A		(      self							)	->				Dict:
								return self.encoder["\n"]







		@property
		def 				__A		(      self							)	->				int:
								return len(self.encoder							)







		def 				__A		(      self							)	->				Optional[Any]:
								return dict(self.encoder		,			**self.added_tokens_encoder							)







		def 				__A		(      self		,			lowerCAmelCase__							)	->				Optional[int]:
								SCREAMING_SNAKE_CASE						=   []
								for x in jieba.cut(snake_case__		,			cut_all=snake_case__							):
														output_tokens.extend(self.wordpiece_tokenizer.tokenize(snake_case__							)							)
								return output_tokens







		def 				__A		(      self		,			lowerCAmelCase__		,			**lowerCAmelCase__							)	->				str:
								SCREAMING_SNAKE_CASE						=   [i for i in token_ids if i >= 0]
								SCREAMING_SNAKE_CASE						=   [
								    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(snake_case__		,			**snake_case__							)







		def 				__A		(      self		,			lowerCAmelCase__							)	->				int:
								return token in self.encoder







		def 				__A		(      self		,			lowerCAmelCase__							)	->				str:
								return "".join(snake_case__							)







		def 				__A		(      self		,			lowerCAmelCase__							)	->				str:
								return self.encoder.get(snake_case__		,			self.encoder.get(self.unk_token							)							)







		def 				__A		(      self		,			lowerCAmelCase__							)	->				List[Any]:
								return self.decoder.get(snake_case__		,			self.unk_token							)







		def 				__A		(      self		,			lowerCAmelCase__		,			lowerCAmelCase__ = None							)	->				Tuple[str]:


								if os.path.isdir(snake_case__							):
														SCREAMING_SNAKE_CASE						=   os.path.join(
														    snake_case__		,			(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']							)
								else:
														SCREAMING_SNAKE_CASE						=   (filename_prefix + "-" if filename_prefix else "") + save_directory
								SCREAMING_SNAKE_CASE						=   0
								if " " in self.encoder:
														SCREAMING_SNAKE_CASE						=   self.encoder[" "]
														del self.encoder[" "]
								if "\n" in self.encoder:
														SCREAMING_SNAKE_CASE						=   self.encoder["\n"]
														del self.encoder["\n"]
								SCREAMING_SNAKE_CASE						=   collections.OrderedDict(sorted(self.encoder.items()		,			key=lambda lowerCAmelCase__							: x[1]							)							)
								with open(snake_case__		,			'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						=   token_index
																				writer.write(token + '\n'							)
																				index += 1
								return (vocab_file,)







		def 				__A		(      self		,			lowerCAmelCase__		,			lowerCAmelCase__ = None							)	->				List[int]:


								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		,			lowerCAmelCase__		,			lowerCAmelCase__ = None		,			lowerCAmelCase__ = False							)	->				List[int]:


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

								if token_ids_a is not None:
														return [1] + ([0] * len(snake_case__							)) + [1] + ([0] * len(snake_case__							))
								return [1] + ([0] * len(snake_case__							))




__lowerCamelCase				=			{
    0: """0""",
    1: """1""",
    2: """2""",
    3: """3""",
    4: """4""",
    5: """5""",
    6: """6""",
    7: """7""",
    8: """8""",
    9: """9""",
    10: """a""",
    11: """b""",
    12: """c""",
    13: """d""",
    14: """e""",
    15: """f""",
}


def      UpperCamelCase   (       __lowerCamelCase	:					float       ):
       assert type(__lowerCamelCase       ) in (int, float) and decimal == int(__lowerCamelCase       )
       snake_case			:  str     							= int(__lowerCamelCase       )
       snake_case			:  str     							= ""
       snake_case			:  str     							= False
       if decimal < 0:
              snake_case			:  Optional[Any]     							= True
              decimal *= -1
       while decimal > 0:
              snake_case							,   snake_case			:  Union[str, Any]     							= divmod(__lowerCamelCase							,   16       )
              snake_case			:  Tuple     							= values[remainder] + hexadecimal
       snake_case			:  Tuple     							= "0x" + hexadecimal
       if negative:
              snake_case			:  Any     							= "-" + hexadecimal
       return hexadecimal


if __name__ == "__main__":
   import doctest

   doctest.testmod()





