
from __future__ import annotations

from typing import Any


class 						__magic_name__      :





		def __init__(							self			:		Union[str, Any]  ,     lowerCamelCase__			:		Any  ,     lowerCamelCase__			:		Any ):  # noqa: A002
							lowerCAmelCase						:    int     		=   item
							lowerCAmelCase						:    Union[str, Any]     		=   next



class 						__magic_name__      :





		def __init__(							self			:		Tuple ):
							lowerCAmelCase						:    Any     		=   None
							lowerCAmelCase						:    Optional[Any]     		=   0





		def 					_A							(							self			:		str  ,     lowerCamelCase__			:		Any ):
							lowerCAmelCase						:    Any     		=   Node(lowercase__  ,     self.head )
							self.size += 1





		def 					_A							(							self			:		Any ):



							if self.head is None:
												return None
							else:
												lowerCAmelCase						:    Optional[int]     		=   self.head.item
												lowerCAmelCase						:    List[Any]     		=   self.head.next
												self.size -= 1
												return item





		def 					_A							(							self			:		List[Any] ):
							return self.head is None





		def __str__(							self			:		List[str] ):



							if self.is_empty():
												return ""
							else:
												lowerCAmelCase						:    int     		=   self.head
												lowerCAmelCase						:    Optional[int]     		=   ''''''
												lowerCAmelCase						:    Dict     		=   []
												while iterate:
																	item_list.append(str(iterate.item ) )
																	lowerCAmelCase						:    Dict     		=   iterate.next

												lowerCAmelCase						:    Union[str, Any]     		=   ''' --> '''.join(lowercase__ )

												return item_str





		def __len__(							self			:		Tuple ):
							return self.size

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


lowerCAmelCase__							= logging.get_logger(__name__)

lowerCAmelCase__							= {
    'dandelin/vilt-b32-mlm': 'https://huggingface.co/dandelin/vilt-b32-mlm/blob/main/config.json'
}
class 				a_ (						SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 UpperCAmelCase_	 =					'vilt'




 def __init__(			self					:  Optional[Any]			,    lowercase__					:  Dict=30_522			,    lowercase__					:  Tuple=2			,    lowercase__					:  int=2			,    lowercase__					:  Optional[int]=40			,    lowercase__					:  Optional[int]=768			,    lowercase__					:  Tuple=12			,    lowercase__					:  Tuple=12			,    lowercase__					:  Union[str, Any]=3_072			,    lowercase__					:  int="gelu"			,    lowercase__					:  Tuple=0.0			,    lowercase__					:  Dict=0.0			,    lowercase__					:  Optional[int]=0.02			,    lowercase__					:  Tuple=1e-12			,    lowercase__					:  Dict=384			,    lowercase__					:  int=32			,    lowercase__					:  List[str]=3			,    lowercase__					:  int=True			,    lowercase__					:  List[str]=-1			,    lowercase__					:  Union[str, Any]=False			,    lowercase__					:  List[str]=-1			,    **lowercase__					:  int			,    ):







        '''simple docstring'''



        super().__init__(tie_word_embeddings=lowercase__			,    **lowercase__)

        lowerCAmelCase__     	=					vocab_size
        lowerCAmelCase__     	=					type_vocab_size
        lowerCAmelCase__     	=					modality_type_vocab_size
        lowerCAmelCase__     	=					max_position_embeddings

        lowerCAmelCase__     	=					hidden_size
        lowerCAmelCase__     	=					num_hidden_layers
        lowerCAmelCase__     	=					num_attention_heads
        lowerCAmelCase__     	=					intermediate_size
        lowerCAmelCase__     	=					hidden_act
        lowerCAmelCase__     	=					hidden_dropout_prob
        lowerCAmelCase__     	=					attention_probs_dropout_prob
        lowerCAmelCase__     	=					initializer_range
        lowerCAmelCase__     	=					layer_norm_eps

        lowerCAmelCase__     	=					image_size
        lowerCAmelCase__     	=					patch_size
        lowerCAmelCase__     	=					num_channels
        lowerCAmelCase__     	=					qkv_bias
        lowerCAmelCase__     	=					max_image_length
        lowerCAmelCase__     	=					num_images
