

"""simple docstring"""




from transformers import SqueezeBertTokenizer, SqueezeBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest





@require_tokenizers
class      __UpperCamelCase					(  snake_case_		):
		SCREAMING_SNAKE_CASE														=       SqueezeBertTokenizer
		SCREAMING_SNAKE_CASE														=       SqueezeBertTokenizerFast
		SCREAMING_SNAKE_CASE														=       True


		def    SCREAMING_SNAKE_CASE__  (self					:						str	,	**__SCREAMING_SNAKE_CASE					:						List[Any]):
							return SqueezeBertTokenizerFast.from_pretrained(self.tmpdirname	,	**_A)


		@slow
		def    SCREAMING_SNAKE_CASE__  (self					:						Dict):
							A     =   SqueezeBertTokenizer.from_pretrained("squeezebert/squeezebert-mnli-headless")

							A     =   tokenizer.encode("sequence builders"	,	add_special_tokens=_A)
							A     =   tokenizer.encode("multi-sequence build"	,	add_special_tokens=_A)

							A     =   tokenizer.build_inputs_with_special_tokens(_A)
							A     =   tokenizer.build_inputs_with_special_tokens(_A	,	_A)

							assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
							assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
							    tokenizer.sep_token_id
							]












def 				SCREAMING_SNAKE_CASE__    (     __a ,			__a ):
	if not root or root not in binary_tree_mirror_dictionary:
		return
	snake_case_    ,snake_case_		:      Tuple           =						binary_tree_mirror_dictionary[root][:2]
	snake_case_		:      List[str]           =						[right_child, left_child]
	binary_tree_mirror_dict(__a ,			__a )
	binary_tree_mirror_dict(__a ,			__a )


def 				SCREAMING_SNAKE_CASE__    (     __a ,			__a = 1 ):
	if not binary_tree:
		raise ValueError('binary tree cannot be empty' )
	if root not in binary_tree:
		snake_case_		:      Dict           =						f"""root {root} is not present in the binary_tree"""
		raise ValueError(__a )
	snake_case_		:      Any           =						dict(__a )
	binary_tree_mirror_dict(__a ,			__a )
	return binary_tree_mirror_dictionary


if __name__ == "__main__":
						_SCREAMING_SNAKE_CASE   						=		{1: [2, 3], 2: [4, 5], 3: [6, 7], 7: [8, 9]}
						print(F'''Binary tree: {binary_tree}''')
						_SCREAMING_SNAKE_CASE   						=		binary_tree_mirror(binary_tree, 5)
						print(F'''Binary tree mirror: {binary_tree_mirror_dictionary}''')

