





"""simple docstring"""




from ...configuration_utils import PretrainedConfig
from ...utils import logging


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

lowerCamelCase_	:		List[Any]         =   {
    'MCG-NJU/videomae-base': 'https://huggingface.co/MCG-NJU/videomae-base/resolve/main/config.json',
}

class 					_UpperCAmelCase    (  UpperCAmelCase__						):



      '''simple docstring'''
      lowercase_ :					Any             =  """videomae"""

      def __init__(	self   , snake_case_=2_2_4   , snake_case_=1_6   , snake_case_=3   , snake_case_=1_6   , snake_case_=2   , snake_case_=7_6_8   , snake_case_=1_2   , snake_case_=1_2   , snake_case_=3_0_7_2   , snake_case_="gelu"   , snake_case_=0.0   , snake_case_=0.0   , snake_case_=0.02   , snake_case_=1E-12   , snake_case_=True   , snake_case_=True   , snake_case_=6   , snake_case_=3_8_4   , snake_case_=4   , snake_case_=1_5_3_6   , snake_case_=True   , **snake_case_   , ):

        """simple docstring"""

        super().__init__(**snake_case_    )

        A_    :			Union[str, Any]									=    image_size
        A_    :			Optional[int]									=    patch_size
        A_    :			Any									=    num_channels
        A_    :			List[str]									=    num_frames
        A_    :			Tuple									=    tubelet_size

        A_    :			List[Any]									=    hidden_size
        A_    :			Union[str, Any]									=    num_hidden_layers
        A_    :			int									=    num_attention_heads
        A_    :			List[str]									=    intermediate_size
        A_    :			List[str]									=    hidden_act
        A_    :			Tuple									=    hidden_dropout_prob
        A_    :			Union[str, Any]									=    attention_probs_dropout_prob
        A_    :			Union[str, Any]									=    initializer_range
        A_    :			List[str]									=    layer_norm_eps
        A_    :			Tuple									=    qkv_bias
        A_    :			List[str]									=    use_mean_pooling

        A_    :			Any									=    decoder_num_attention_heads
        A_    :			Dict									=    decoder_hidden_size
        A_    :			str									=    decoder_num_hidden_layers
        A_    :			int									=    decoder_intermediate_size
        A_    :			int									=    norm_pix_loss




from .stack import Stack






def 			UpperCAmelCase__     (     lowercase__ )			->   bool:
						__lowercase											=					Stack()
						__lowercase											=					{"""(""": """)""", """[""": """]""", """{""": """}"""}
						for bracket in parentheses:
												if bracket in bracket_pairs:
																		stack.push(lowercase__ )
												elif bracket in (")", "]", "}"):
																		if stack.is_empty() or bracket_pairs[stack.pop()] != bracket:
																								return False
						return stack.is_empty()


if __name__ == "__main__":
			from doctest import testmod

			testmod()

			UpperCamelCase__			=    ["((()))", "((())", "(()))"]
			print("Balanced parentheses demonstration:\n")
			for example in examples:
						UpperCamelCase__			=    "" if balanced_parentheses(example) else "not "
						print(F"""{example} is {not_str}balanced""")





