

"""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


SCREAMING_SNAKE_CASE_     :			Tuple	  =			logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_     :			Dict	  =			{'''vocab_file''': '''vocab.txt'''}

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

SCREAMING_SNAKE_CASE_     :			List[Any]	  =			{
    '''openbmb/cpm-ant-10b''': 1024,
}



def 	UpperCAmelCase__   (				A__   )      ->      Dict:




   """simple docstring"""
   lowerCamelCase__						=			collections.OrderedDict()
   with open(UpperCAmelCase__	,    "r"	,    encoding="utf-8"   ) as reader:
      lowerCamelCase__						=			reader.readlines()
   for index, token in enumerate(UpperCAmelCase__   ):
      lowerCamelCase__						=			token.rstrip("\n"   )
      lowerCamelCase__						=			index
   return vocab


class 		_A       (			__a					):





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





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__		)   ->					Union[str, Any]:
         lowerCamelCase__						=			list(__UpperCamelCase		)
         if len(__UpperCamelCase		) > self.max_input_chars_per_word:
            return [self.unk_token]

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

         return sub_tokens






class 		_A       (			__a					):
      __a								=	VOCAB_FILES_NAMES
      __a								=	PRETRAINED_VOCAB_FILES_MAP
      __a								=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __a								=	['input_ids', 'attention_mask']
      __a								=	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__    ,						)   ->					Tuple:
         requires_backends(self    ,						["jieba"]		)
         super().__init__(
             bod_token=__UpperCamelCase    ,						eod_token=__UpperCamelCase    ,						bos_token=__UpperCamelCase    ,						eos_token=__UpperCamelCase    ,						pad_token=__UpperCamelCase    ,						unk_token=__UpperCamelCase    ,						line_token=__UpperCamelCase    ,						space_token=__UpperCamelCase    ,						padding_side=__UpperCamelCase    ,						**__UpperCamelCase    ,						)
         lowerCamelCase__						=			bod_token
         lowerCamelCase__						=			eod_token
         lowerCamelCase__						=			load_vocab(__UpperCamelCase		)
         lowerCamelCase__						=			self.encoder[space_token]
         lowerCamelCase__						=			self.encoder[line_token]

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

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

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





      @property
      def 					_lowerCamelCase  (  self		)   ->					List[Any]:
         return self.encoder[self.bod_token]





      @property
      def 					_lowerCamelCase  (  self		)   ->					Dict:
         return self.encoder[self.eod_token]





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





      @property
      def 					_lowerCamelCase  (  self		)   ->					Dict:
         return len(self.encoder		)





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





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__		)   ->					List[str]:
         lowerCamelCase__						=			[]
         for x in jieba.cut(__UpperCamelCase    ,						cut_all=__UpperCamelCase		):
            output_tokens.extend(self.wordpiece_tokenizer.tokenize(__UpperCamelCase		)		)
         return output_tokens





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__    ,						**SCREAMING_SNAKE_CASE__		)   ->					Union[str, Any]:
         lowerCamelCase__						=			[i for i in token_ids if i >= 0]
         lowerCamelCase__						=			[
             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(__UpperCamelCase    ,						**__UpperCamelCase		)





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__		)   ->					Dict:
         return token in self.encoder





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__		)   ->					int:
         return "".join(__UpperCamelCase		)





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__		)   ->					Tuple:
         return self.encoder.get(__UpperCamelCase    ,						self.encoder.get(self.unk_token		)		)





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__		)   ->					int:
         return self.decoder.get(__UpperCamelCase    ,						self.unk_token		)





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__ = None		)   ->					Tuple:
         if os.path.isdir(__UpperCamelCase		):
            lowerCamelCase__						=			os.path.join(
                __UpperCamelCase    ,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)
         else:
            lowerCamelCase__						=			(filename_prefix + "-" if filename_prefix else "") + save_directory
         lowerCamelCase__						=			0
         if " " in self.encoder:
            lowerCamelCase__						=			self.encoder[" "]
            del self.encoder[" "]
         if "\n" in self.encoder:
            lowerCamelCase__						=			self.encoder["\n"]
            del self.encoder["\n"]
         lowerCamelCase__						=			collections.OrderedDict(sorted(self.encoder.items()    ,						key=lambda SCREAMING_SNAKE_CASE__		: x[1]		)		)
         with open(__UpperCamelCase    ,						"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__						=			token_index
               writer.write(token + "\n"		)
               index += 1
         return (vocab_file,)





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__ = None		)   ->					List[str]:
         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		)   ->					Tuple:

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

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







"""simple docstring"""




from __future__ import annotations

from typing import Any



def 	UpperCAmelCase__   (				A__   )      ->      None:




   """simple docstring"""
   create_state_space_tree(A__	,    []	,    0   )



def 	UpperCAmelCase__   (				A__	,    A__	,    A__   )      ->      None:




   """simple docstring"""

   if index == len(A__   ):
      print(A__   )
      return

   create_state_space_tree(A__	,    A__	,    index + 1   )
   current_subsequence.append(sequence[index]   )
   create_state_space_tree(A__	,    A__	,    index + 1   )
   current_subsequence.pop()


if __name__ == "__main__":
     SCREAMING_SNAKE_CASE_     :			list[Any]	  =			[3, 1, 2, 4]
     generate_all_subsequences(seq)

     seq.clear()
     seq.extend(['''A''', '''B''', '''C'''])
     generate_all_subsequences(seq)




