






"""simple docstring"""
from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCamelCase_					=      logging.get_logger(__name__)

lowerCamelCase_					=      {
    '''xlm-mlm-en-2048''': '''https://huggingface.co/xlm-mlm-en-2048/resolve/main/config.json''',
    '''xlm-mlm-ende-1024''': '''https://huggingface.co/xlm-mlm-ende-1024/resolve/main/config.json''',
    '''xlm-mlm-enfr-1024''': '''https://huggingface.co/xlm-mlm-enfr-1024/resolve/main/config.json''',
    '''xlm-mlm-enro-1024''': '''https://huggingface.co/xlm-mlm-enro-1024/resolve/main/config.json''',
    '''xlm-mlm-tlm-xnli15-1024''': '''https://huggingface.co/xlm-mlm-tlm-xnli15-1024/resolve/main/config.json''',
    '''xlm-mlm-xnli15-1024''': '''https://huggingface.co/xlm-mlm-xnli15-1024/resolve/main/config.json''',
    '''xlm-clm-enfr-1024''': '''https://huggingface.co/xlm-clm-enfr-1024/resolve/main/config.json''',
    '''xlm-clm-ende-1024''': '''https://huggingface.co/xlm-clm-ende-1024/resolve/main/config.json''',
    '''xlm-mlm-17-1280''': '''https://huggingface.co/xlm-mlm-17-1280/resolve/main/config.json''',
    '''xlm-mlm-100-1280''': '''https://huggingface.co/xlm-mlm-100-1280/resolve/main/config.json''',
}







class 			UpperCamelCase_       (__A     ):
	__magic_name__	      =				'''xlm'''
	__magic_name__	      =				{
	    '''hidden_size''': '''emb_dim''',
	    '''num_attention_heads''': '''n_heads''',
	    '''num_hidden_layers''': '''n_layers''',
	    '''n_words''': '''vocab_size''',  # For backward compatibility
	}





	def __init__(      self					: str	,	lowerCAmelCase_					: Any=30_145	,	lowerCAmelCase_					: str=2_048	,	lowerCAmelCase_					: Any=12	,	lowerCAmelCase_					: str=16	,	lowerCAmelCase_					: List[str]=0.1	,	lowerCAmelCase_					: int=0.1	,	lowerCAmelCase_					: Dict=True	,	lowerCAmelCase_					: Any=False	,	lowerCAmelCase_					: Optional[int]=False	,	lowerCAmelCase_					: str=False	,	lowerCAmelCase_					: Optional[int]=1	,	lowerCAmelCase_					: Union[str, Any]=True	,	lowerCAmelCase_					: int=512	,	lowerCAmelCase_					: int=2_048**-0.5	,	lowerCAmelCase_					: List[str]=1e-12	,	lowerCAmelCase_					: List[str]=0.0_2	,	lowerCAmelCase_					: str=0	,	lowerCAmelCase_					: List[Any]=1	,	lowerCAmelCase_					: str=2	,	lowerCAmelCase_					: int=3	,	lowerCAmelCase_					: str=5	,	lowerCAmelCase_					: List[Any]=True	,	lowerCAmelCase_					: List[Any]="first"	,	lowerCAmelCase_					: Tuple=True	,	lowerCAmelCase_					: Optional[int]=None	,	lowerCAmelCase_					: int=True	,	lowerCAmelCase_					: Any=0.1	,	lowerCAmelCase_					: Dict=5	,	lowerCAmelCase_					: str=5	,	lowerCAmelCase_					: List[str]=0	,	lowerCAmelCase_					: Dict=0	,	lowerCAmelCase_					: List[Any]=2	,	lowerCAmelCase_					: Any=0	,	**lowerCAmelCase_					: str	,	)						->			Any:
				UpperCAmelCase_     : Optional[int]			     =					vocab_size
				UpperCAmelCase_     : Dict			     =					emb_dim
				UpperCAmelCase_     : int			     =					n_layers
				UpperCAmelCase_     : int			     =					n_heads
				UpperCAmelCase_     : Any			     =					dropout
				UpperCAmelCase_     : List[Any]			     =					attention_dropout
				UpperCAmelCase_     : List[Any]			     =					gelu_activation
				UpperCAmelCase_     : List[str]			     =					sinusoidal_embeddings
				UpperCAmelCase_     : Any			     =					causal
				UpperCAmelCase_     : Dict			     =					asm
				UpperCAmelCase_     : str			     =					n_langs
				UpperCAmelCase_     : Any			     =					use_lang_emb
				UpperCAmelCase_     : Optional[int]			     =					layer_norm_eps
				UpperCAmelCase_     : str			     =					bos_index
				UpperCAmelCase_     : List[str]			     =					eos_index
				UpperCAmelCase_     : Dict			     =					pad_index
				UpperCAmelCase_     : Tuple			     =					unk_index
				UpperCAmelCase_     : str			     =					mask_index
				UpperCAmelCase_     : Dict			     =					is_encoder
				UpperCAmelCase_     : List[str]			     =					max_position_embeddings
				UpperCAmelCase_     : List[str]			     =					embed_init_std
				UpperCAmelCase_     : str			     =					init_std
				UpperCAmelCase_     : Any			     =					summary_type
				UpperCAmelCase_     : Any			     =					summary_use_proj
				UpperCAmelCase_     : Optional[Any]			     =					summary_activation
				UpperCAmelCase_     : Union[str, Any]			     =					summary_proj_to_labels
				UpperCAmelCase_     : Tuple			     =					summary_first_dropout
				UpperCAmelCase_     : Any			     =					start_n_top
				UpperCAmelCase_     : Any			     =					end_n_top
				UpperCAmelCase_     : int			     =					mask_token_id
				UpperCAmelCase_     : Union[str, Any]			     =					lang_id

				if "n_words" in kwargs:
							UpperCAmelCase_     : Union[str, Any]			     =					kwargs["n_words"]

				super().__init__(pad_token_id=lowerCAmelCase_	,	bos_token_id=lowerCAmelCase_	,	**lowerCAmelCase_						)







class 			UpperCamelCase_       (__A     ):





	@property
	def      _SCREAMING_SNAKE_CASE      (      self					: Union[str, Any]						)						->			Mapping[str, Mapping[int, str]]:
				if self.task == "multiple-choice":
							UpperCAmelCase_     : Union[str, Any]			     =					{0: "batch", 1: "choice", 2: "sequence"}
				else:
							UpperCAmelCase_     : Tuple			     =					{0: "batch", 1: "sequence"}
				return OrderedDict(
				    [
				        ("input_ids", dynamic_axis),
				        ("attention_mask", dynamic_axis),
				        ("token_type_ids", dynamic_axis),
				    ]						)











"""simple docstring"""
from __future__ import annotations







class 			UpperCamelCase_       :





	def __init__(      self					: Any	,	lowerCAmelCase_					: int						)						->			None:
				UpperCAmelCase_     : Any			     =					data
				UpperCAmelCase_     : Node | None			     =					None
				UpperCAmelCase_     : Node | None			     =					None





def 				snake_case      (   A__						):  # In Order traversal of the tree
			if tree:
						display(tree.left						)
						print(tree.data						)
						display(tree.right						)

def 				snake_case      (   A__						):
			return 1 + max(depth_of_tree(tree.left						)	,depth_of_tree(tree.right						)						) if tree else 0

def 				snake_case      (   A__						):
			if not tree:
						return True
			if tree.left and tree.right:
						return is_full_binary_tree(tree.left						) and is_full_binary_tree(tree.right						)
			else:
						return not tree.left and not tree.right

def 				snake_case      (   ):  # Main function for testing.
			UpperCAmelCase_     : List[str]			     =					Node(1						)
			UpperCAmelCase_     : Any			     =					Node(2						)
			UpperCAmelCase_     : Optional[Any]			     =					Node(3						)
			UpperCAmelCase_     : Union[str, Any]			     =					Node(4						)
			UpperCAmelCase_     : int			     =					Node(5						)
			UpperCAmelCase_     : Optional[int]			     =					Node(6						)
			UpperCAmelCase_     : Any			     =					Node(7						)
			UpperCAmelCase_     : List[str]			     =					Node(8						)
			UpperCAmelCase_     : List[Any]			     =					Node(9						)

			print(is_full_binary_tree(A__						)						)
			print(depth_of_tree(A__						)						)
			print("Tree is: "						)
			display(A__						)


if __name__ == "__main__":
			main()



