





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer


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

SCREAMING_SNAKE_CASE_   :      List[Any]			=   {'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

SCREAMING_SNAKE_CASE_   :      List[str]			=   {
    '''vocab_file''': {
        '''squeezebert/squeezebert-uncased''': (
            '''https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt'''
        ),
        '''squeezebert/squeezebert-mnli''': '''https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt''',
        '''squeezebert/squeezebert-mnli-headless''': (
            '''https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt'''
        ),
    },
    '''tokenizer_file''': {
        '''squeezebert/squeezebert-uncased''': (
            '''https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json'''
        ),
        '''squeezebert/squeezebert-mnli''': (
            '''https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json'''
        ),
        '''squeezebert/squeezebert-mnli-headless''': (
            '''https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json'''
        ),
    },
}

SCREAMING_SNAKE_CASE_   :      int			=   {
    '''squeezebert/squeezebert-uncased''': 512,
    '''squeezebert/squeezebert-mnli''': 512,
    '''squeezebert/squeezebert-mnli-headless''': 512,
}


SCREAMING_SNAKE_CASE_   :      int			=   {
    '''squeezebert/squeezebert-uncased''': {'''do_lower_case''': True},
    '''squeezebert/squeezebert-mnli''': {'''do_lower_case''': True},
    '''squeezebert/squeezebert-mnli-headless''': {'''do_lower_case''': True},
}

class 		snake_case_   (							UpperCAmelCase_						):







	'''simple docstring'''
	__UpperCamelCase   =		VOCAB_FILES_NAMES
	__UpperCamelCase   =		PRETRAINED_VOCAB_FILES_MAP
	__UpperCamelCase   =		PRETRAINED_INIT_CONFIGURATION
	__UpperCamelCase   =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__UpperCamelCase   =		SqueezeBertTokenizer




	def __init__(						self							:     Union[str, Any]					,      __lowerCamelCase							:     List[Any]=None					,      __lowerCamelCase							:     List[Any]=None					,      __lowerCamelCase							:     List[Any]=True					,      __lowerCamelCase							:     Tuple="[UNK]"					,      __lowerCamelCase							:     Optional[Any]="[SEP]"					,      __lowerCamelCase							:     List[str]="[PAD]"					,      __lowerCamelCase							:     List[Any]="[CLS]"					,      __lowerCamelCase							:     Tuple="[MASK]"					,      __lowerCamelCase							:     Dict=True					,      __lowerCamelCase							:     Union[str, Any]=None					,      **__lowerCamelCase							:     Tuple					,      )       -> Union[str, Any]:

			'''simple docstring'''




			super().__init__(
			    __lowerCamelCase					,      tokenizer_file=__lowerCamelCase					,      do_lower_case=__lowerCamelCase					,      unk_token=__lowerCamelCase					,      sep_token=__lowerCamelCase					,      pad_token=__lowerCamelCase					,      cls_token=__lowerCamelCase					,      mask_token=__lowerCamelCase					,      tokenize_chinese_chars=__lowerCamelCase					,      strip_accents=__lowerCamelCase					,      **__lowerCamelCase					,      )

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

			__lowercase											=     do_lower_case




	def    UpperCAmelCase			(						self							:     List[str]					,      __lowerCamelCase							:     Tuple					,      __lowerCamelCase							:     Any=None   )       -> Union[str, Any]:

			'''simple docstring'''




			__lowercase											=     [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    UpperCAmelCase			(						self							:     Optional[Any]					,      __lowerCamelCase							:     List[int]					,      __lowerCamelCase							:     Optional[List[int]] = None   )       -> List[int]:

			'''simple docstring'''




			__lowercase											=     [self.sep_token_id]
			__lowercase											=     [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    UpperCAmelCase			(						self							:     Optional[int]					,      __lowerCamelCase							:     str					,      __lowerCamelCase							:     Optional[str] = None   )       -> Tuple[str]:

			'''simple docstring'''




			__lowercase											=     self._tokenizer.model.save(__lowerCamelCase					,      name=__lowerCamelCase   )
			return tuple(__lowerCamelCase   )











def  SCREAMING_SNAKE_CASE				(      snake_case						,   snake_case						,   snake_case							)		->    int:

		def count_of_possible_combinations(snake_case							) -> int:
				if target < 0:
						return 0
				if target == 0:
						return 1
				return sum(count_of_possible_combinations(target - item							) for item in array							)

		return count_of_possible_combinations(snake_case							)



def  SCREAMING_SNAKE_CASE				(      snake_case						,   snake_case						,   snake_case							)		->    int:

		def count_of_possible_combinations_with_dp_array(
		    snake_case						,   snake_case							) -> int:
				if target < 0:
						return 0
				if target == 0:
						return 1
				if dp_array[target] != -1:
						return dp_array[target]
				__lowercase											=     sum(
				    count_of_possible_combinations_with_dp_array(target - item						,   snake_case							)
				    for item in array							)
				__lowercase											=     answer
				return answer

		__lowercase											=     [-1] * (target + 1)
		return count_of_possible_combinations_with_dp_array(snake_case						,   snake_case							)



def  SCREAMING_SNAKE_CASE				(      snake_case						,   snake_case						,   snake_case							)		->    int:
		__lowercase											=     [0] * (target + 1)
		__lowercase											=     1

		for i in range(1						,   target + 1							):
				for j in range(snake_case							):
						if i - array[j] >= 0:
								dp_array[i] += dp_array[i - array[j]]

		return dp_array[target]


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		SCREAMING_SNAKE_CASE_   :      Tuple			=   3
		SCREAMING_SNAKE_CASE_   :      Dict			=   5
		SCREAMING_SNAKE_CASE_   :      Any			=   [1, 2, 5]
		print(combination_sum_iv(n, array, target))




