




import functools
import operator

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


__lowerCAmelCase						:							Optional[int]			     =						logging.get_logger(__name__)

__lowerCAmelCase						:							str			     =						{
    """facebook/hubert-base-ls960""": """https://huggingface.co/facebook/hubert-base-ls960/resolve/main/config.json""",
    # See all Hubert models at https://huggingface.co/models?filter=hubert
}




class        snake_case__				(_UpperCamelCase  ):
				"""simple docstring"""



				SCREAMING_SNAKE_CASE_			:				Any									=   '''hubert'''





				def __init__( self							:	List[Any]   , __lowerCamelCase							:	List[str]=32   , __lowerCamelCase							:	Tuple=7_68   , __lowerCamelCase							:	Dict=12   , __lowerCamelCase							:	str=12   , __lowerCamelCase							:	Optional[int]=30_72   , __lowerCamelCase							:	int="gelu"   , __lowerCamelCase							:	Optional[int]=0.1   , __lowerCamelCase							:	Union[str, Any]=0.1   , __lowerCamelCase							:	Dict=0.1   , __lowerCamelCase							:	Optional[Any]=True   , __lowerCamelCase							:	List[str]=0.0   , __lowerCamelCase							:	Union[str, Any]=0.1   , __lowerCamelCase							:	str=0.1   , __lowerCamelCase							:	Optional[int]=0.02   , __lowerCamelCase							:	Optional[Any]=1e-5   , __lowerCamelCase							:	List[str]="group"   , __lowerCamelCase							:	List[Any]="gelu"   , __lowerCamelCase							:	Any=(5_12, 5_12, 5_12, 5_12, 5_12, 5_12, 5_12)   , __lowerCamelCase							:	Optional[int]=(5, 2, 2, 2, 2, 2, 2)   , __lowerCamelCase							:	Any=(10, 3, 3, 3, 3, 2, 2)   , __lowerCamelCase							:	Tuple=False   , __lowerCamelCase							:	List[Any]=1_28   , __lowerCamelCase							:	str=16   , __lowerCamelCase							:	int=False   , __lowerCamelCase							:	List[str]=True   , __lowerCamelCase							:	List[str]=0.05   , __lowerCamelCase							:	Optional[int]=10   , __lowerCamelCase							:	List[Any]=2   , __lowerCamelCase							:	Optional[int]=0.0   , __lowerCamelCase							:	str=10   , __lowerCamelCase							:	Dict=0   , __lowerCamelCase							:	Any="sum"   , __lowerCamelCase							:	Dict=False   , __lowerCamelCase							:	List[str]=False   , __lowerCamelCase							:	Union[str, Any]=2_56   , __lowerCamelCase							:	Optional[Any]=0   , __lowerCamelCase							:	Dict=1   , __lowerCamelCase							:	Tuple=2   , **__lowerCamelCase							:	int   , )   ->	List[str]:
							super().__init__(**__lowerCamelCase   , pad_token_id=__lowerCamelCase   , bos_token_id=__lowerCamelCase   , eos_token_id=__lowerCamelCase				)
							a       =     hidden_size
							a       =     feat_extract_norm
							a       =     feat_extract_activation
							a       =     list(__lowerCamelCase				)
							a       =     list(__lowerCamelCase				)
							a       =     list(__lowerCamelCase				)
							a       =     conv_bias
							a       =     num_conv_pos_embeddings
							a       =     num_conv_pos_embedding_groups
							a       =     len(self.conv_dim				)
							a       =     num_hidden_layers
							a       =     intermediate_size
							a       =     hidden_act
							a       =     num_attention_heads
							a       =     hidden_dropout
							a       =     attention_dropout
							a       =     activation_dropout
							a       =     feat_proj_layer_norm
							a       =     feat_proj_dropout
							a       =     final_dropout
							a       =     layerdrop
							a       =     layer_norm_eps
							a       =     initializer_range
							a       =     vocab_size
							a       =     do_stable_layer_norm
							a       =     use_weighted_layer_sum
							a       =     classifier_proj_size

							if (
							    (len(self.conv_stride				) != self.num_feat_extract_layers)
							    or (len(self.conv_kernel				) != self.num_feat_extract_layers)
							    or (len(self.conv_dim				) != self.num_feat_extract_layers)
							):
										raise ValueError(
										    "Configuration for convolutional layers is incorrect. It is required that `len(config.conv_dim)` =="
										    " `len(config.conv_stride)` == `len(config.conv_kernel)`, but is `len(config.conv_dim) ="
										    f""" {len(self.conv_dim				)}`, `len(config.conv_stride) = {len(self.conv_stride				)}`,"""
										    f""" `len(config.conv_kernel) = {len(self.conv_kernel				)}`."""				)

							# fine-tuning config parameters for SpecAugment: https://arxiv.org/abs/1904.08779
							a       =     apply_spec_augment
							a       =     mask_time_prob
							a       =     mask_time_length
							a       =     mask_time_min_masks
							a       =     mask_feature_prob
							a       =     mask_feature_length
							a       =     mask_feature_min_masks

							# ctc loss
							a       =     ctc_loss_reduction
							a       =     ctc_zero_infinity





				@property
				def 				__UpperCAmelCase				( self							:	List[Any]				)   ->	Union[str, Any]:
							return functools.reduce(operator.mul   , self.conv_stride   , 1				)














"""simple docstring"""





from __future__ import annotations


class   _lowercase			:


      def __init__(     self					:						int				, a					:						int = 0    ):





            """simple docstring"""







            __snake_case   :     Optional[Any]	      =value
            __snake_case   :     Node | None	      =None
            __snake_case   :     Node | None	      =None



def      __lowercase       (     a			:					Node | None							,		a			:					Node | None			)       ->       Node | None:
      if treea is None:
            return treea
      if treea is None:
            return treea

      __snake_case   :     Dict	      =treea.value + treea.value
      __snake_case   :     int	      =merge_two_binary_trees(treea.left							,		treea.left			)
      __snake_case   :     List[str]	      =merge_two_binary_trees(treea.right							,		treea.right			)
      return treea



def      __lowercase       (     a			:					Node | None			)       ->       None:
      if root:
            print(root.value			)
            print_preorder(root.left			)
            print_preorder(root.right			)


if __name__ == "__main__":
    UpperCamelCase_						:					List[str]      				=			Node(1)
    UpperCamelCase_						:					List[Any]      				=			Node(2)
    UpperCamelCase_						:					Optional[Any]      				=			Node(3)
    UpperCamelCase_						:					int      				=			Node(4)

    UpperCamelCase_						:					int      				=			Node(2)
    UpperCamelCase_						:					List[str]      				=			Node(4)
    UpperCamelCase_						:					Any      				=			Node(6)
    UpperCamelCase_						:					Union[str, Any]      				=			Node(9)
    UpperCamelCase_						:					Dict      				=			Node(5)

    print("""Tree1 is: """)
    print_preorder(treea)
    print("""Tree2 is: """)
    print_preorder(treea)
    UpperCamelCase_						:					Optional[Any]      				=			merge_two_binary_trees(treea, treea)
    print("""Merged Tree is: """)
    print_preorder(merged_tree)


