
"""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


lowerCamelCase__   					=		logging.get_logger(__name__)

lowerCamelCase__   					=		{"""vocab_file""": """vocab.txt"""}

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

lowerCamelCase__   					=		{
    """openbmb/cpm-ant-10b""": 1_024,
}
def     __lowerCAmelCase				(_UpperCamelCase		):
	__lowerCAmelCase			:						Union[str, Any]									=      collections.OrderedDict()
	with open(_UpperCamelCase       ,  'r'       ,  encoding='utf-8'		) as reader:
		__lowerCAmelCase			:						Dict									=      reader.readlines()
	for index, token in enumerate(_UpperCamelCase		):
		__lowerCAmelCase			:						int									=      token.rstrip('\n'		)
		__lowerCAmelCase			:						str									=      index
	return vocab




class  A__       (	_lowerCamelCase):

		def __init__(      self       ,		_SCREAMING_SNAKE_CASE       ,		_SCREAMING_SNAKE_CASE="<unk>"       ,		_SCREAMING_SNAKE_CASE=2_00 ):
			__lowerCAmelCase			:						Optional[Any]									=      vocab
			__lowerCAmelCase			:						Optional[int]									=      unk_token
			__lowerCAmelCase			:						List[Any]									=      max_input_chars_per_word







		def 							__lowerCamelCase							(      self       ,		_SCREAMING_SNAKE_CASE ):
			__lowerCAmelCase			:						Any									=      list(_SCREAMING_SNAKE_CASE )
			if len(_SCREAMING_SNAKE_CASE ) > self.max_input_chars_per_word:
				return [self.unk_token]

			__lowerCAmelCase			:						Tuple									=      0
			__lowerCAmelCase			:						List[str]									=      []
			while start < len(_SCREAMING_SNAKE_CASE ):
				__lowerCAmelCase			:						str									=      len(_SCREAMING_SNAKE_CASE )
				__lowerCAmelCase			:						str									=      None
				while start < end:
					__lowerCAmelCase			:						List[str]									=      ''.join(chars[start:end] )
					if substr in self.vocab:
						__lowerCAmelCase			:						str									=      substr
						break
					end -= 1
				if cur_substr is None:
					sub_tokens.append(self.unk_token )
					start += 1
				else:
					sub_tokens.append(_SCREAMING_SNAKE_CASE )
					__lowerCAmelCase			:						Dict									=      end

			return sub_tokens




class  A__       (	_lowerCamelCase):
		A_						:       Any				   =	VOCAB_FILES_NAMES
		A_						:       Any				   =	PRETRAINED_VOCAB_FILES_MAP
		A_						:       str				   =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		A_						:       Optional[int]				   =	['input_ids', 'attention_mask']
		A_						:       int				   =	False

		def __init__(      self       ,		_SCREAMING_SNAKE_CASE       ,		_SCREAMING_SNAKE_CASE="<d>"       ,		_SCREAMING_SNAKE_CASE="</d>"       ,		_SCREAMING_SNAKE_CASE="<s>"       ,		_SCREAMING_SNAKE_CASE="</s>"       ,		_SCREAMING_SNAKE_CASE="<pad>"       ,		_SCREAMING_SNAKE_CASE="<unk>"       ,		_SCREAMING_SNAKE_CASE="</n>"       ,		_SCREAMING_SNAKE_CASE="</_>"       ,		_SCREAMING_SNAKE_CASE="left"       ,		**_SCREAMING_SNAKE_CASE       ,		):
			requires_backends(self       ,		['jieba'] )
			super().__init__(
			    bod_token=_SCREAMING_SNAKE_CASE       ,		eod_token=_SCREAMING_SNAKE_CASE       ,		bos_token=_SCREAMING_SNAKE_CASE       ,		eos_token=_SCREAMING_SNAKE_CASE       ,		pad_token=_SCREAMING_SNAKE_CASE       ,		unk_token=_SCREAMING_SNAKE_CASE       ,		line_token=_SCREAMING_SNAKE_CASE       ,		space_token=_SCREAMING_SNAKE_CASE       ,		padding_side=_SCREAMING_SNAKE_CASE       ,		**_SCREAMING_SNAKE_CASE       ,		)
			__lowerCAmelCase			:						Optional[Any]									=      bod_token
			__lowerCAmelCase			:						List[Any]									=      eod_token
			__lowerCAmelCase			:						Dict									=      load_vocab(_SCREAMING_SNAKE_CASE )
			__lowerCAmelCase			:						int									=      self.encoder[space_token]
			__lowerCAmelCase			:						Union[str, Any]									=      self.encoder[line_token]

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

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

			__lowerCAmelCase			:						List[Any]									=      WordpieceTokenizer(vocab=self.encoder       ,		unk_token=self.unk_token )

		@property
		def 							__lowerCamelCase							(      self ):
			return self.encoder[self.bod_token]

		@property
		def 							__lowerCamelCase							(      self ):
			return self.encoder[self.eod_token]

		@property
		def 							__lowerCamelCase							(      self ):
			return self.encoder["\n"]

		@property
		def 							__lowerCamelCase							(      self ):
			return len(self.encoder )

		def 							__lowerCamelCase							(      self ):
			return dict(self.encoder       ,		**self.added_tokens_encoder )

		def 							__lowerCamelCase							(      self       ,		_SCREAMING_SNAKE_CASE ):
			__lowerCAmelCase			:						Union[str, Any]									=      []
			for x in jieba.cut(_SCREAMING_SNAKE_CASE       ,		cut_all=_SCREAMING_SNAKE_CASE ):
				output_tokens.extend(self.wordpiece_tokenizer.tokenize(_SCREAMING_SNAKE_CASE ) )
			return output_tokens

		def 							__lowerCamelCase							(      self       ,		_SCREAMING_SNAKE_CASE       ,		**_SCREAMING_SNAKE_CASE ):
			__lowerCAmelCase			:						Any									=      [i for i in token_ids if i >= 0]
			__lowerCAmelCase			:						Tuple									=      [
			    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(_SCREAMING_SNAKE_CASE       ,		**_SCREAMING_SNAKE_CASE )

		def 							__lowerCamelCase							(      self       ,		_SCREAMING_SNAKE_CASE ):
			return token in self.encoder

		def 							__lowerCamelCase							(      self       ,		_SCREAMING_SNAKE_CASE ):
			return "".join(_SCREAMING_SNAKE_CASE )

		def 							__lowerCamelCase							(      self       ,		_SCREAMING_SNAKE_CASE ):
			return self.encoder.get(_SCREAMING_SNAKE_CASE       ,		self.encoder.get(self.unk_token ) )

		def 							__lowerCamelCase							(      self       ,		_SCREAMING_SNAKE_CASE ):
			return self.decoder.get(_SCREAMING_SNAKE_CASE       ,		self.unk_token )

		def 							__lowerCamelCase							(      self       ,		_SCREAMING_SNAKE_CASE       ,		_SCREAMING_SNAKE_CASE = None ):
			if os.path.isdir(_SCREAMING_SNAKE_CASE ):
				__lowerCAmelCase			:						List[Any]									=      os.path.join(
				    _SCREAMING_SNAKE_CASE       ,		(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'] )
			else:
				__lowerCAmelCase			:						int									=      (filename_prefix + '-' if filename_prefix else '') + save_directory
			__lowerCAmelCase			:						int									=      0
			if " " in self.encoder:
				__lowerCAmelCase			:						Optional[int]									=      self.encoder[' ']
				del self.encoder[" "]
			if "\n" in self.encoder:
				__lowerCAmelCase			:						Optional[int]									=      self.encoder['\n']
				del self.encoder["\n"]
			__lowerCAmelCase			:						Union[str, Any]									=      collections.OrderedDict(sorted(self.encoder.items()       ,		key=lambda _SCREAMING_SNAKE_CASE : x[1] ) )
			with open(_SCREAMING_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!' )
						__lowerCAmelCase			:						Optional[int]									=      token_index
					writer.write(token + '\n' )
					index += 1
			return (vocab_file,)

		def 							__lowerCamelCase							(      self       ,		_SCREAMING_SNAKE_CASE       ,		_SCREAMING_SNAKE_CASE = None ):
			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 							__lowerCamelCase							(      self       ,		_SCREAMING_SNAKE_CASE       ,		_SCREAMING_SNAKE_CASE = None       ,		_SCREAMING_SNAKE_CASE = False ):

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






UpperCAmelCase_     							= 'Input must be a string of 8 numbers plus letter'
UpperCAmelCase_     							= 'TRWAGMYFPDXBNJZSQVHLCKE'




def 		lowerCAmelCase_    (  __UpperCAmelCase:			str      )      ->	bool:

    if not isinstance(__UpperCAmelCase		,   __UpperCAmelCase      ):
        UpperCamelCase__							:				Any          =      f"Expected string as input, found {type(__UpperCAmelCase      ).__name__}"
        raise TypeError(__UpperCAmelCase      )

    UpperCamelCase__							:				int          =      spanish_id.replace('''-'''		,   ''''''      ).upper()
    if len(__UpperCAmelCase      ) != 9:
        raise ValueError(__UpperCAmelCase      )

    try:
        UpperCamelCase__							:				List[str]          =      int(spanish_id_clean[0:8]      )
        UpperCamelCase__							:				Optional[int]          =      spanish_id_clean[8]
    except ValueError as ex:
        raise ValueError(__UpperCAmelCase      ) from ex

    if letter.isdigit():
        raise ValueError(__UpperCAmelCase      )

    return letter == LOOKUP_LETTERS[number % 23]


if __name__ == "__main__":
  import doctest

  doctest.testmod()

