


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

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig


__snake_case							      =     {
    '''albert-base-v1''': '''https://huggingface.co/albert-base-v1/resolve/main/config.json''',
    '''albert-large-v1''': '''https://huggingface.co/albert-large-v1/resolve/main/config.json''',
    '''albert-xlarge-v1''': '''https://huggingface.co/albert-xlarge-v1/resolve/main/config.json''',
    '''albert-xxlarge-v1''': '''https://huggingface.co/albert-xxlarge-v1/resolve/main/config.json''',
    '''albert-base-v2''': '''https://huggingface.co/albert-base-v2/resolve/main/config.json''',
    '''albert-large-v2''': '''https://huggingface.co/albert-large-v2/resolve/main/config.json''',
    '''albert-xlarge-v2''': '''https://huggingface.co/albert-xlarge-v2/resolve/main/config.json''',
    '''albert-xxlarge-v2''': '''https://huggingface.co/albert-xxlarge-v2/resolve/main/config.json''',
}
class    lowercase	(							A__					):

		"""simple docstring"""

		_a     =				'albert'




		def __init__(		self    ,   UpperCamelCase_=30000    ,   UpperCamelCase_=128    ,   UpperCamelCase_=4096    ,   UpperCamelCase_=12    ,   UpperCamelCase_=1    ,   UpperCamelCase_=64    ,   UpperCamelCase_=16384    ,   UpperCamelCase_=1    ,   UpperCamelCase_="gelu_new"    ,   UpperCamelCase_=0    ,   UpperCamelCase_=0    ,   UpperCamelCase_=512    ,   UpperCamelCase_=2    ,   UpperCamelCase_=0.02    ,   UpperCamelCase_=1e-12    ,   UpperCamelCase_=0.1    ,   UpperCamelCase_="absolute"    ,   UpperCamelCase_=0    ,   UpperCamelCase_=2    ,   UpperCamelCase_=3    ,   **UpperCamelCase_    ,   ):

							'''simple docstring'''


							super().__init__(pad_token_id=UpperCamelCase_    ,   bos_token_id=UpperCamelCase_    ,   eos_token_id=UpperCamelCase_    ,   **UpperCamelCase_							)

							UpperCamelCase__   :Tuple												= vocab_size
							UpperCamelCase__   :int												= embedding_size
							UpperCamelCase__   :int												= hidden_size
							UpperCamelCase__   :Dict												= num_hidden_layers
							UpperCamelCase__   :Tuple												= num_hidden_groups
							UpperCamelCase__   :List[Any]												= num_attention_heads
							UpperCamelCase__   :Any												= inner_group_num
							UpperCamelCase__   :str												= hidden_act
							UpperCamelCase__   :Union[str, Any]												= intermediate_size
							UpperCamelCase__   :List[Any]												= hidden_dropout_prob
							UpperCamelCase__   :Tuple												= attention_probs_dropout_prob
							UpperCamelCase__   :int												= max_position_embeddings
							UpperCamelCase__   :str												= type_vocab_size
							UpperCamelCase__   :str												= initializer_range
							UpperCamelCase__   :Tuple												= layer_norm_eps
							UpperCamelCase__   :int												= classifier_dropout_prob
							UpperCamelCase__   :Optional[Any]												= position_embedding_type



class    lowercase	(							A__					):

		"""simple docstring"""

		@property
		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							if self.task == "multiple-choice":
												UpperCamelCase__   :Optional[Any]												= {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
							else:
												UpperCamelCase__   :Union[str, Any]												= {0: '''batch''', 1: '''sequence'''}
							return OrderedDict(
							    [
							        ('''input_ids''', dynamic_axis),
							        ('''attention_mask''', dynamic_axis),
							        ('''token_type_ids''', dynamic_axis),
							    ]							)



'''simple docstring'''
from PIL import Image


def 			a      (			__a ,					__a   )  ->	Image:



					'''simple docstring'''






					def brightness(__a   ) -> float:
										return 128 + level + (c - 128)

					if not -2_5_5.0 <= level <= 2_5_5.0:
										raise ValueError('''level must be between -255.0 (black) and 255.0 (white)'''   )
					return img.point(__a   )


if __name__ == "__main__":
		# Load image
		with Image.open('''image_data/lena.jpg''') as img:
				# Change brightness to 100
				__snake_case							      =     change_brightness(img, 100)
				brigt_img.save('''image_data/lena_brightness.png''', format='''png''')