


"""simple docstring"""


import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ....tokenization_utils_fast import PreTrainedTokenizerFast
from ....utils import logging
from .tokenization_retribert import RetriBertTokenizer


A     :   Optional[Any]			    =			logging.get_logger(__name__)

A     :   Dict			    =			{"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

A     :   List[str]			    =			{
    "vocab_file": {
        "yjernite/retribert-base-uncased": (
            "https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "yjernite/retribert-base-uncased": (
            "https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/tokenizer.json"
        ),
    },
}

A     :   List[str]			    =			{
    "yjernite/retribert-base-uncased": 5_1_2,
}


A     :   Tuple			    =			{
    "yjernite/retribert-base-uncased": {"do_lower_case": True},
}
class   _UpperCamelCase  (   _UpperCAmelCase		):
							'''simple docstring'''







							__UpperCAmelCase						:    Tuple				      =VOCAB_FILES_NAMES
							__UpperCAmelCase						:    Any				      =PRETRAINED_VOCAB_FILES_MAP
							__UpperCAmelCase						:    int				      =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__UpperCAmelCase						:    Any				      =PRETRAINED_INIT_CONFIGURATION
							__UpperCAmelCase						:    Optional[int]				      =RetriBertTokenizer
							__UpperCAmelCase						:    Union[str, Any]				      =['input_ids', 'attention_mask']

							def __init__(     self    ,   __a=None    ,   __a=None    ,   __a=True    ,   __a="[UNK]"    ,   __a="[SEP]"    ,   __a="[PAD]"    ,   __a="[CLS]"    ,   __a="[MASK]"    ,   __a=True    ,   __a=None    ,   **__a    ,   ):
										super().__init__(
										    a__    ,   tokenizer_file=a__    ,   do_lower_case=a__    ,   unk_token=a__    ,   sep_token=a__    ,   pad_token=a__    ,   cls_token=a__    ,   mask_token=a__    ,   tokenize_chinese_chars=a__    ,   strip_accents=a__    ,   **a__    ,   )

										__lowerCAmelCase				    =			json.loads(self.backend_tokenizer.normalizer.__getstate__()	)
										if (
										    normalizer_state.get("lowercase"    ,   a__	) != do_lower_case
										    or normalizer_state.get("strip_accents"    ,   a__	) != strip_accents
										    or normalizer_state.get("handle_chinese_chars"    ,   a__	) != tokenize_chinese_chars
										):
													__lowerCAmelCase				    =			getattr(a__    ,   normalizer_state.pop("type"	)	)
													__lowerCAmelCase				    =			do_lower_case
													__lowerCAmelCase				    =			strip_accents
													__lowerCAmelCase				    =			tokenize_chinese_chars
													__lowerCAmelCase				    =			normalizer_class(**a__	)

										__lowerCAmelCase				    =			do_lower_case

							def 			snake_case				(     self    ,   __a    ,   __a=None	):
										__lowerCAmelCase				    =			[self.cls_token_id] + token_ids_a + [self.sep_token_id]

										if token_ids_a:
													output += token_ids_a + [self.sep_token_id]

										return output

							def 			snake_case				(     self    ,   __a    ,   __a = None	):
										__lowerCAmelCase				    =			[self.sep_token_id]
										__lowerCAmelCase				    =			[self.cls_token_id]
										if token_ids_a is None:
													return len(cls + token_ids_a + sep	) * [0]
										return len(cls + token_ids_a + sep	) * [0] + len(token_ids_a + sep	) * [1]



							def 			snake_case				(     self    ,   __a    ,   __a = None	):
										__lowerCAmelCase				    =			self._tokenizer.model.save(a__    ,   name=a__	)
										return tuple(a__	)











from __future__ import annotations






def lowerCamelCase__    (							snake_case_	:  list[int]       ,      snake_case_	:  int       )      ->				list[list[int]]:
   __snake_case							       =   []
   __snake_case							       =   []
   __snake_case							       =   0
   __snake_case							       =   sum(snake_case_       )
   create_state_space_tree(snake_case_       ,      snake_case_       ,      snake_case_       ,      snake_case_       ,      snake_case_       ,      snake_case_       )
   return result






def lowerCamelCase__    (							snake_case_	:  list[int]       ,      snake_case_	:  int       ,      snake_case_	:  int       ,      snake_case_	:  list[int]       ,      snake_case_	:  list[list[int]]       ,      snake_case_	:  int       ,      )      ->				None:
   if sum(snake_case_       ) > max_sum or (remaining_nums_sum + sum(snake_case_       )) < max_sum:
      return
   if sum(snake_case_       ) == max_sum:
      result.append(snake_case_       )
      return
   for index in range(snake_case_       ,      len(snake_case_       )       ):
      create_state_space_tree(
          snake_case_       ,      snake_case_       ,      index + 1       ,      [*path, nums[index]]       ,      snake_case_       ,      remaining_nums_sum - nums[index]       ,      )
snake_case_				=			[3, 34, 4, 12, 5, 2]
snake_case_				=			9
snake_case_				=			generate_sum_of_subsets_soln(nums, max_sum)







print(*result)

