
'''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


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

lowercase			:				Union[str, Any]    		=			{'vocab_file': 'vocab.txt'}

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

lowercase			:				Optional[int]    		=			{
    'openbmb/cpm-ant-10b': 10_24,
}







def 		lowerCAmelCase_				(   snake_case__						):




    '''simple docstring'''



    A       :   Any					=						collections.OrderedDict()
    with open(snake_case__		,				'''r'''		,				encoding='''utf-8'''						) as reader:
        A       :   Dict					=						reader.readlines()
    for index, token in enumerate(snake_case__						):
        A       :   str					=						token.rstrip('''\n'''						)
        A       :   Tuple					=						index
    return vocab





class  A				(							__snake_case						):





     def __init__(							self						,			SCREAMING_SNAKE_CASE						,			SCREAMING_SNAKE_CASE="<unk>"						,			SCREAMING_SNAKE_CASE=200	) ->				Union[str, Any]:






         """simple docstring"""






         A       :   Union[str, Any]					=						vocab
         A       :   Union[str, Any]					=						unk_token
         A       :   Optional[Any]					=						max_input_chars_per_word





     def 				__lowerCAmelCase							(							self						,			SCREAMING_SNAKE_CASE	) ->				str:






         """simple docstring"""






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

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

         return sub_tokens





class  A				(							__snake_case						):
     __magic_name__						=		VOCAB_FILES_NAMES
     __magic_name__						=		PRETRAINED_VOCAB_FILES_MAP
     __magic_name__						=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __magic_name__						=		['''input_ids''', '''attention_mask''']
     __magic_name__						=		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						,			) ->				Union[str, Any]:






         """simple docstring"""






         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						,			)
         A       :   Dict					=						bod_token
         A       :   List[Any]					=						eod_token
         A       :   Optional[Any]					=						load_vocab(SCREAMING_SNAKE_CASE	)
         A       :   int					=						self.encoder[space_token]
         A       :   str					=						self.encoder[line_token]

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

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

         A       :   Optional[Any]					=						WordpieceTokenizer(vocab=self.encoder						,			unk_token=self.unk_token	)





     @property
     def 				__lowerCAmelCase							(							self	) ->				Optional[Any]:






         """simple docstring"""






         return self.encoder[self.bod_token]





     @property
     def 				__lowerCAmelCase							(							self	) ->				int:






         """simple docstring"""






         return self.encoder[self.eod_token]





     @property
     def 				__lowerCAmelCase							(							self	) ->				List[Any]:






         """simple docstring"""






         return self.encoder["\n"]





     @property
     def 				__lowerCAmelCase							(							self	) ->				int:






         """simple docstring"""






         return len(self.encoder	)





     def 				__lowerCAmelCase							(							self	) ->				int:






         """simple docstring"""






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





     def 				__lowerCAmelCase							(							self						,			SCREAMING_SNAKE_CASE	) ->				List[Any]:






         """simple docstring"""






         A       :   Optional[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	) ->				str:






         """simple docstring"""






         A       :   Optional[Any]					=						[i for i in token_ids if i >= 0]
         A       :   Dict					=						[
             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	) ->				Optional[Any]:






         """simple docstring"""






         return token in self.encoder





     def 				__lowerCAmelCase							(							self						,			SCREAMING_SNAKE_CASE	) ->				str:






         """simple docstring"""






         return "".join(SCREAMING_SNAKE_CASE	)





     def 				__lowerCAmelCase							(							self						,			SCREAMING_SNAKE_CASE	) ->				Union[str, Any]:






         """simple docstring"""






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





     def 				__lowerCAmelCase							(							self						,			SCREAMING_SNAKE_CASE	) ->				Tuple:






         """simple docstring"""






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





     def 				__lowerCAmelCase							(							self						,			SCREAMING_SNAKE_CASE						,			SCREAMING_SNAKE_CASE = None	) ->				Tuple[str]:






         """simple docstring"""






         if os.path.isdir(SCREAMING_SNAKE_CASE	):
             A       :   int					=						os.path.join(
                 SCREAMING_SNAKE_CASE						,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']	)
         else:
             A       :   List[Any]					=						(filename_prefix + '''-''' if filename_prefix else '''''') + save_directory
         A       :   Optional[Any]					=						0
         if " " in self.encoder:
             A       :   List[str]					=						self.encoder[''' ''']
             del self.encoder[" "]
         if "\n" in self.encoder:
             A       :   Any					=						self.encoder['''\n''']
             del self.encoder["\n"]
         A       :   Dict					=						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!'''	)
                     A       :   List[str]					=						token_index
                 writer.write(token + '''\n'''	)
                 index += 1
         return (vocab_file,)





     def 				__lowerCAmelCase							(							self						,			SCREAMING_SNAKE_CASE						,			SCREAMING_SNAKE_CASE = None	) ->				List[int]:






         """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 				__lowerCAmelCase							(							self						,			SCREAMING_SNAKE_CASE						,			SCREAMING_SNAKE_CASE = None						,			SCREAMING_SNAKE_CASE = False	) ->				List[int]:






         """simple docstring"""






         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	))







def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    str			):



     '''simple docstring'''





     if not all(x.isalpha() for x in string			):
          raise ValueError('String must only contain alphabetic characters.'			)

     lowercase__    :   Optional[int]      =       sorted(string.lower()			)
     return len(SCREAMING_SNAKE_CASE_			) == len(set(SCREAMING_SNAKE_CASE_			)			)


if __name__ == "__main__":
       snake_case_			  = input('''Enter a string ''').strip()

       snake_case_			  = is_isogram(input_str)
       print(F'''{input_str} is {'an' if isogram else 'not an'} isogram.''')

