


from collections import OrderedDict
from typing import Mapping

from packaging import version

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


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

_lowerCAmelCase:						Any   				=       {
    'microsoft/beit-base-patch16-224-pt22k': (
        'https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json'
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}




class       lowercase_					(lowercase__   ):
				snake_case	    ='beit'





				def __init__(				self       ,  lowercase_=8192       ,  lowercase_=768       ,  lowercase_=12       ,  lowercase_=12       ,  lowercase_=3072       ,  lowercase_="gelu"       ,  lowercase_=0.0       ,  lowercase_=0.0       ,  lowercase_=0.02       ,  lowercase_=1e-12       ,  lowercase_=224       ,  lowercase_=16       ,  lowercase_=3       ,  lowercase_=False       ,  lowercase_=False       ,  lowercase_=False       ,  lowercase_=False       ,  lowercase_=0.1       ,  lowercase_=0.1       ,  lowercase_=True       ,  lowercase_=[3, 5, 7, 11]       ,  lowercase_=[1, 2, 3, 6]       ,  lowercase_=True       ,  lowercase_=0.4       ,  lowercase_=256       ,  lowercase_=1       ,  lowercase_=False       ,  lowercase_=255       ,  **lowercase_       ,  )  -> Optional[int]:
											super().__init__(**lowercase_)

											a__      =vocab_size
											a__      =hidden_size
											a__      =num_hidden_layers
											a__      =num_attention_heads
											a__      =intermediate_size
											a__      =hidden_act
											a__      =hidden_dropout_prob
											a__      =attention_probs_dropout_prob
											a__      =initializer_range
											a__      =layer_norm_eps

											a__      =image_size
											a__      =patch_size
											a__      =num_channels
											a__      =use_mask_token
											a__      =use_absolute_position_embeddings
											a__      =use_relative_position_bias
											a__      =use_shared_relative_position_bias
											a__      =layer_scale_init_value
											a__      =drop_path_rate
											a__      =use_mean_pooling
											# decode head attributes (semantic segmentation)
											a__      =out_indices
											a__      =pool_scales
											# auxiliary head attributes (semantic segmentation)
											a__      =use_auxiliary_head
											a__      =auxiliary_loss_weight
											a__      =auxiliary_channels
											a__      =auxiliary_num_convs
											a__      =auxiliary_concat_input
											a__      =semantic_loss_ignore_index







class       lowercase_					(lowercase__   ):
				snake_case	    =version.parse('1.11'   )





				@property
				def 						__UpperCamelCase    (				self)  -> Mapping[str, Mapping[int, str]]:
											return OrderedDict(
											    [
											        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
											    ])





				@property
				def 						__UpperCamelCase    (				self)  -> float:
											return 1e-4





from __future__ import annotations

_lowerCAmelCase:						str   				=       '#'




class       lowercase_					:





				def __init__(				self)  -> None:
											a__      ={}





				def 						__UpperCamelCase    (				self       ,  lowercase_)  -> None:
											a__      =self._trie
											for char in text:
																		if char not in trie:
																									a__      ={}
																		a__      =trie[char]
											a__      =True





				def 						__UpperCamelCase    (				self       ,  lowercase_)  -> tuple | list:
											a__      =self._trie
											for char in prefix:
																		if char in trie:
																									a__      =trie[char]
																		else:
																									return []
											return self._elements(lowercase_)





				def 						__UpperCamelCase    (				self       ,  lowercase_)  -> tuple:
											a__      =[]
											for c, v in d.items():
																		a__      =[' '] if c == END else [(c + s) for s in self._elements(lowercase_)]
																		result.extend(lowercase_)
											return tuple(lowercase_)







_lowerCAmelCase:						Optional[int]   				=       Trie()
_lowerCAmelCase:						List[str]   				=       ('depart', 'detergent', 'daring', 'dog', 'deer', 'deal')
for word in words:
	trie.insert_word(word)






def   _lowercase(					__a				:						str     ):
							a__      =trie.find_word(__a     )
							return tuple(string + word for word in suffixes     )






def   _lowercase(					):
							print(autocomplete_using_trie('de'     )     )


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()

