




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__			:       Tuple         =							logging.get_logger(__name__)

lowerCamelCase__			:       str         =							{'vocab_file': 'vocab.txt'}

lowerCamelCase__			:       Optional[Any]         =							{
    'vocab_file': {
        'openbmb/cpm-ant-10b': 'https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt',
    },
}

lowerCamelCase__			:       List[str]         =							{
    'openbmb/cpm-ant-10b': 1_024,
}

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





class 	lowerCamelCase_							(				_SCREAMING_SNAKE_CASE ):


 '''simple docstring'''







 def __init__(							self  :		Optional[Any]    ,    _lowerCAmelCase  :		Dict    ,    _lowerCAmelCase  :		Tuple="<unk>"    ,    _lowerCAmelCase  :		Optional[Any]=200						):
       SCREAMING_SNAKE_CASE_     						=      vocab
       SCREAMING_SNAKE_CASE_     						=      unk_token
       SCREAMING_SNAKE_CASE_     						=      max_input_chars_per_word




 def 				lowerCAmelCase_  (							self  :		Union[str, Any]    ,    _lowerCAmelCase  :		Union[str, Any]						):
       SCREAMING_SNAKE_CASE_     						=      list(_lowerCAmelCase						)
       if len(_lowerCAmelCase						) > self.max_input_chars_per_word:
             return [self.unk_token]

       SCREAMING_SNAKE_CASE_     						=      0
       SCREAMING_SNAKE_CASE_     						=      []
       while start < len(_lowerCAmelCase						):
             SCREAMING_SNAKE_CASE_     						=      len(_lowerCAmelCase						)
             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(_lowerCAmelCase						)
                   SCREAMING_SNAKE_CASE_     						=      end

       return sub_tokens





class 	lowerCamelCase_							(				_SCREAMING_SNAKE_CASE ):


 '''simple docstring'''







 lowercase_       =   VOCAB_FILES_NAMES
 lowercase_       =   PRETRAINED_VOCAB_FILES_MAP
 lowercase_       =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase_       =   ["input_ids", "attention_mask"]
 lowercase_       =   False



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



 @property
 def 				lowerCAmelCase_  (							self  :		List[str]						):
       return self.encoder[self.eod_token]



 @property
 def 				lowerCAmelCase_  (							self  :		List[str]						):
       return self.encoder["\n"]



 @property
 def 				lowerCAmelCase_  (							self  :		Any						):
       return len(self.encoder						)



 def 				lowerCAmelCase_  (							self  :		Union[str, Any]						):
       return dict(self.encoder    ,    **self.added_tokens_encoder						)



 def 				lowerCAmelCase_  (							self  :		Tuple    ,    _lowerCAmelCase  :		Tuple						):
       SCREAMING_SNAKE_CASE_     						=      []
       for x in jieba.cut(_lowerCAmelCase    ,    cut_all=_lowerCAmelCase						):
             output_tokens.extend(self.wordpiece_tokenizer.tokenize(_lowerCAmelCase						)						)
       return output_tokens



 def 				lowerCAmelCase_  (							self  :		int    ,    _lowerCAmelCase  :		str    ,    **_lowerCAmelCase  :		Optional[Any]						):
       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(_lowerCAmelCase    ,    **_lowerCAmelCase						)



 def 				lowerCAmelCase_  (							self  :		Optional[Any]    ,    _lowerCAmelCase  :		Union[str, Any]						):
       return token in self.encoder



 def 				lowerCAmelCase_  (							self  :		int    ,    _lowerCAmelCase  :		List[str]						):
       return "".join(_lowerCAmelCase						)



 def 				lowerCAmelCase_  (							self  :		Union[str, Any]    ,    _lowerCAmelCase  :		Optional[int]						):
       return self.encoder.get(_lowerCAmelCase    ,    self.encoder.get(self.unk_token						)						)



 def 				lowerCAmelCase_  (							self  :		Any    ,    _lowerCAmelCase  :		Optional[int]						):
       return self.decoder.get(_lowerCAmelCase    ,    self.unk_token						)



 def 				lowerCAmelCase_  (							self  :		Any    ,    _lowerCAmelCase  :		str    ,    _lowerCAmelCase  :		Optional[str] = None						):
       if os.path.isdir(_lowerCAmelCase						):
             SCREAMING_SNAKE_CASE_     						=      os.path.join(
                 _lowerCAmelCase    ,    (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(_lowerCAmelCase    ,    '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 				lowerCAmelCase_  (							self  :		int    ,    _lowerCAmelCase  :		List[int]    ,    _lowerCAmelCase  :		List[int] = 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  :		List[str]    ,    _lowerCAmelCase  :		List[int]    ,    _lowerCAmelCase  :		Optional[List[int]] = None    ,    _lowerCAmelCase  :		bool = False						):

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

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





from abc import ABC, abstractmethod
from argparse import ArgumentParser





class 	lowerCamelCase_							(				_SCREAMING_SNAKE_CASE ):


 '''simple docstring'''







 @staticmethod
 @abstractmethod
 def 				lowerCAmelCase_  (							_lowerCAmelCase  :		ArgumentParser						):
       raise NotImplementedError()




 @abstractmethod
 def 				lowerCAmelCase_  (							self  :		Dict						):
       raise NotImplementedError()