


"""simple docstring"""







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


_SCREAMING_SNAKE_CASE	       =      logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE	       =      {
    """uw-madison/mra-base-512-4""": """https://huggingface.co/uw-madison/mra-base-512-4/resolve/main/config.json""",
}







class 							__magic_name__     (		lowercase__   ):
					_SCREAMING_SNAKE_CASE       :					Any     							=   'mra'





					def __init__(				self   :							Optional[Any]							,						snake_case_   :							int=50265							,						snake_case_   :							Any=768							,						snake_case_   :							List[Any]=12							,						snake_case_   :							Tuple=12							,						snake_case_   :							Optional[int]=3072							,						snake_case_   :							str="gelu"							,						snake_case_   :							str=0.1							,						snake_case_   :							Optional[Any]=0.1							,						snake_case_   :							str=512							,						snake_case_   :							Optional[Any]=1							,						snake_case_   :							int=0.02							,						snake_case_   :							List[str]=1e-5							,						snake_case_   :							Tuple="absolute"							,						snake_case_   :							List[str]=4							,						snake_case_   :							Dict="full"							,						snake_case_   :							Optional[Any]=0							,						snake_case_   :							Dict=0							,						snake_case_   :							List[Any]=1							,						snake_case_   :							int=0							,						snake_case_   :							Tuple=2							,						**snake_case_   :							Dict							,						):
												super().__init__(pad_token_id=snake_case_							,						bos_token_id=snake_case_							,						eos_token_id=snake_case_							,						**snake_case_    )

												__snake_case     			=       vocab_size
												__snake_case     			=       max_position_embeddings
												__snake_case     			=       hidden_size
												__snake_case     			=       num_hidden_layers
												__snake_case     			=       num_attention_heads
												__snake_case     			=       intermediate_size
												__snake_case     			=       hidden_act
												__snake_case     			=       hidden_dropout_prob
												__snake_case     			=       attention_probs_dropout_prob
												__snake_case     			=       initializer_range
												__snake_case     			=       type_vocab_size
												__snake_case     			=       layer_norm_eps
												__snake_case     			=       position_embedding_type
												__snake_case     			=       block_per_row
												__snake_case     			=       approx_mode
												__snake_case     			=       initial_prior_first_n_blocks
												__snake_case     			=       initial_prior_diagonal_n_blocks


"""simple docstring"""







from __future__ import annotations

from dataclasses import dataclass







@dataclass
class 							__magic_name__     :
					_SCREAMING_SNAKE_CASE       :					float
					_SCREAMING_SNAKE_CASE       :					TreeNode | None     							=   None
					_SCREAMING_SNAKE_CASE       :					TreeNode | None     							=   None




def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE )  ->     bool:







							"""simple docstring"""


							def is_valid_tree(SCREAMING_SNAKE_CASE ) -> bool:
														if node is None:
																					return True

														if not isinstance(SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE ):
																					return False

														try:
																					float(node.data )
														except (TypeError, ValueError):
																					return False

														return is_valid_tree(node.left ) and is_valid_tree(node.right )

							if not is_valid_tree(SCREAMING_SNAKE_CASE ):
														raise ValueError(
														    "Each node should be type of TreeNode and data should be float." )

							def is_binary_search_tree_recursive_check(
							    SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE ) -> bool:

														if node is None:
																					return True

														return (
														    left_bound < node.data < right_bound
														    and is_binary_search_tree_recursive_check(node.left							,    SCREAMING_SNAKE_CASE							,    node.data )
														    and is_binary_search_tree_recursive_check(
														        node.right							,    node.data							,    SCREAMING_SNAKE_CASE )
														)

							return is_binary_search_tree_recursive_check(SCREAMING_SNAKE_CASE							,    -float("inf" )							,    float("inf" ) )


if __name__ == "__main__":
		import doctest

		doctest.testmod()
