


'''simple docstring'''
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union

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


if TYPE_CHECKING:
		from ... import FeatureExtractionMixin, PreTrainedTokenizerBase, TensorType


__snake_case							      =     logging.get_logger(__name__)

__snake_case							      =     {
    '''microsoft/deberta-v2-xlarge''': '''https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/config.json''',
    '''microsoft/deberta-v2-xxlarge''': '''https://huggingface.co/microsoft/deberta-v2-xxlarge/resolve/main/config.json''',
    '''microsoft/deberta-v2-xlarge-mnli''': (
        '''https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/main/config.json'''
    ),
    '''microsoft/deberta-v2-xxlarge-mnli''': (
        '''https://huggingface.co/microsoft/deberta-v2-xxlarge-mnli/resolve/main/config.json'''
    ),
}
class    lowercase	(							A__					):

		"""simple docstring"""

		_a     =				'deberta-v2'




		def __init__(		self    ,   UpperCamelCase_=128100    ,   UpperCamelCase_=1536    ,   UpperCamelCase_=24    ,   UpperCamelCase_=24    ,   UpperCamelCase_=6144    ,   UpperCamelCase_="gelu"    ,   UpperCamelCase_=0.1    ,   UpperCamelCase_=0.1    ,   UpperCamelCase_=512    ,   UpperCamelCase_=0    ,   UpperCamelCase_=0.02    ,   UpperCamelCase_=1e-7    ,   UpperCamelCase_=False    ,   UpperCamelCase_=-1    ,   UpperCamelCase_=0    ,   UpperCamelCase_=True    ,   UpperCamelCase_=None    ,   UpperCamelCase_=0    ,   UpperCamelCase_="gelu"    ,   **UpperCamelCase_    ,   ):

							'''simple docstring'''


							super().__init__(**UpperCamelCase_							)

							UpperCamelCase__   :Optional[int]												= hidden_size
							UpperCamelCase__   :Union[str, Any]												= num_hidden_layers
							UpperCamelCase__   :List[str]												= num_attention_heads
							UpperCamelCase__   :Optional[Any]												= intermediate_size
							UpperCamelCase__   :int												= hidden_act
							UpperCamelCase__   :Dict												= hidden_dropout_prob
							UpperCamelCase__   :str												= attention_probs_dropout_prob
							UpperCamelCase__   :Union[str, Any]												= max_position_embeddings
							UpperCamelCase__   :Dict												= type_vocab_size
							UpperCamelCase__   :Dict												= initializer_range
							UpperCamelCase__   :Any												= relative_attention
							UpperCamelCase__   :int												= max_relative_positions
							UpperCamelCase__   :List[Any]												= pad_token_id
							UpperCamelCase__   :List[Any]												= position_biased_input

							# Backwards compatibility
							if type(UpperCamelCase_							) == str:
												UpperCamelCase__   :Optional[Any]												= [x.strip() for x in pos_att_type.lower().split('''|'''							)]

							UpperCamelCase__   :List[str]												= pos_att_type
							UpperCamelCase__   :Dict												= vocab_size
							UpperCamelCase__   :Optional[Any]												= layer_norm_eps

							UpperCamelCase__   :Tuple												= kwargs.get('''pooler_hidden_size'''    ,   UpperCamelCase_							)
							UpperCamelCase__   :List[Any]												= pooler_dropout
							UpperCamelCase__   :str												= pooler_hidden_act



class    lowercase	(							A__					):

		"""simple docstring"""

		@property
		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


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




		@property
		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							return 12




		def     lowerCAmelCase__				(		self    ,   UpperCamelCase_    ,   UpperCamelCase_ = -1    ,   UpperCamelCase_ = -1    ,   UpperCamelCase_ = -1    ,   UpperCamelCase_ = False    ,   UpperCamelCase_ = None    ,   UpperCamelCase_ = 3    ,   UpperCamelCase_ = 40    ,   UpperCamelCase_ = 40    ,   UpperCamelCase_ = None    ,   ):

							'''simple docstring'''


							UpperCamelCase__   :List[Any]												= super().generate_dummy_inputs(preprocessor=UpperCamelCase_    ,   framework=UpperCamelCase_							)
							if self._config.type_vocab_size == 0 and "token_type_ids" in dummy_inputs:
												del dummy_inputs["token_type_ids"]
							return dummy_inputs



'''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''')