


'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

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


_UpperCAmelCase				: Optional[Any]							    =				logging.get_logger(__name__)

_UpperCAmelCase				: Union[str, Any]							    =				{
    """facebook/xmod-base""": """https://huggingface.co/facebook/xmod-base/resolve/main/config.json""",
    """facebook/xmod-large-prenorm""": """https://huggingface.co/facebook/xmod-large-prenorm/resolve/main/config.json""",
    """facebook/xmod-base-13-125k""": """https://huggingface.co/facebook/xmod-base-13-125k/resolve/main/config.json""",
    """facebook/xmod-base-30-125k""": """https://huggingface.co/facebook/xmod-base-30-125k/resolve/main/config.json""",
    """facebook/xmod-base-30-195k""": """https://huggingface.co/facebook/xmod-base-30-195k/resolve/main/config.json""",
    """facebook/xmod-base-60-125k""": """https://huggingface.co/facebook/xmod-base-60-125k/resolve/main/config.json""",
    """facebook/xmod-base-60-265k""": """https://huggingface.co/facebook/xmod-base-60-265k/resolve/main/config.json""",
    """facebook/xmod-base-75-125k""": """https://huggingface.co/facebook/xmod-base-75-125k/resolve/main/config.json""",
    """facebook/xmod-base-75-269k""": """https://huggingface.co/facebook/xmod-base-75-269k/resolve/main/config.json""",
}


class       a__				( __A      ):







    """simple docstring"""



    __UpperCamelCase    :		Dict	=	'xmod'




    def __init__(self       ,			__lowercase=3_05_22       ,			__lowercase=7_68       ,			__lowercase=12       ,			__lowercase=12       ,			__lowercase=30_72       ,			__lowercase="gelu"       ,			__lowercase=0.1       ,			__lowercase=0.1       ,			__lowercase=5_12       ,			__lowercase=2       ,			__lowercase=0.0_2       ,			__lowercase=1e-12       ,			__lowercase=1       ,			__lowercase=0       ,			__lowercase=2       ,			__lowercase="absolute"       ,			__lowercase=True       ,			__lowercase=None       ,			__lowercase=False       ,			__lowercase=2       ,			__lowercase=False       ,			__lowercase=True       ,			__lowercase=True       ,			__lowercase=("en_XX",)       ,			__lowercase=None       ,			**__lowercase       ,			):
          super().__init__(pad_token_id=__lowercase       ,			bos_token_id=__lowercase       ,			eos_token_id=__lowercase       ,			**__lowercase		)

          __lowerCAmelCase							       =				vocab_size
          __lowerCAmelCase							       =				hidden_size
          __lowerCAmelCase							       =				num_hidden_layers
          __lowerCAmelCase							       =				num_attention_heads
          __lowerCAmelCase							       =				hidden_act
          __lowerCAmelCase							       =				intermediate_size
          __lowerCAmelCase							       =				hidden_dropout_prob
          __lowerCAmelCase							       =				attention_probs_dropout_prob
          __lowerCAmelCase							       =				max_position_embeddings
          __lowerCAmelCase							       =				type_vocab_size
          __lowerCAmelCase							       =				initializer_range
          __lowerCAmelCase							       =				layer_norm_eps
          __lowerCAmelCase							       =				position_embedding_type
          __lowerCAmelCase							       =				use_cache
          __lowerCAmelCase							       =				classifier_dropout
          __lowerCAmelCase							       =				pre_norm
          __lowerCAmelCase							       =				adapter_reduction_factor
          __lowerCAmelCase							       =				adapter_layer_norm
          __lowerCAmelCase							       =				adapter_reuse_layer_norm
          __lowerCAmelCase							       =				ln_before_adapter
          __lowerCAmelCase							       =				list(__lowercase		)
          __lowerCAmelCase							       =				default_language


class       a__				( __A      ):







    """simple docstring"""



    @property
    def 					_snake_case  (self		):
          if self.task == "multiple-choice":
                __lowerCAmelCase							       =				{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
          else:
                __lowerCAmelCase							       =				{0: '''batch''', 1: '''sequence'''}
          return OrderedDict(
              [
                  ('''input_ids''', dynamic_axis),
                  ('''attention_mask''', dynamic_axis),
              ]		)





'''simple docstring'''

from PIL import Image

def 							__magic_name__(						lowerCamelCase,				lowerCamelCase):

						def brightness(lowerCamelCase) -> float:
												return 1_2_8 + level + (c - 1_2_8)

						if not -2_55.0 <= level <= 2_55.0:
												raise ValueError('''level must be between -255.0 (black) and 255.0 (white)''')
						return img.point(lowerCamelCase)


if __name__ == "__main__":
	# Load image
	with Image.open("""image_data/lena.jpg""") as img:
		# Change brightness to 100
		_UpperCAmelCase				: str							    =				change_brightness(img, 1_0_0)
		brigt_img.save("""image_data/lena_brightness.png""", format="""png""")

