






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


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

lowerCamelCase			:					Tuple         =	{
    '''unc-nlp/lxmert-base-uncased''': '''https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/config.json''',
}



class 							_UpperCamelCase			(a_			):
      snake_case_  =							"""lxmert"""
      snake_case_  =							{}


      def __init__(	self					,						__UpperCamelCase=3_0_5_2_2					,						__UpperCamelCase=7_6_8					,						__UpperCamelCase=1_2					,						__UpperCamelCase=9_5_0_0					,						__UpperCamelCase=1_6_0_0					,						__UpperCamelCase=4_0_0					,						__UpperCamelCase=3_0_7_2					,						__UpperCamelCase="gelu"					,						__UpperCamelCase=0.1					,						__UpperCamelCase=0.1					,						__UpperCamelCase=5_1_2					,						__UpperCamelCase=2					,						__UpperCamelCase=0.0_2					,						__UpperCamelCase=1e-12					,						__UpperCamelCase=9					,						__UpperCamelCase=5					,						__UpperCamelCase=5					,						__UpperCamelCase=2_0_4_8					,						__UpperCamelCase=4					,						__UpperCamelCase=6.6_7					,						__UpperCamelCase=True					,						__UpperCamelCase=True					,						__UpperCamelCase=True					,						__UpperCamelCase=True					,						__UpperCamelCase=True					,						__UpperCamelCase=True					,						__UpperCamelCase=True					,						**__UpperCamelCase					,						)->	Optional[Any]:
           __lowerCAmelCase								=					vocab_size
           __lowerCAmelCase								=					hidden_size
           __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								=					num_qa_labels
           __lowerCAmelCase								=					num_object_labels
           __lowerCAmelCase								=					num_attr_labels
           __lowerCAmelCase								=					l_layers
           __lowerCAmelCase								=					x_layers
           __lowerCAmelCase								=					r_layers
           __lowerCAmelCase								=					visual_feat_dim
           __lowerCAmelCase								=					visual_pos_dim
           __lowerCAmelCase								=					visual_loss_normalizer
           __lowerCAmelCase								=					task_matched
           __lowerCAmelCase								=					task_mask_lm
           __lowerCAmelCase								=					task_obj_predict
           __lowerCAmelCase								=					task_qa
           __lowerCAmelCase								=					visual_obj_loss
           __lowerCAmelCase								=					visual_attr_loss
           __lowerCAmelCase								=					visual_feat_loss
           __lowerCAmelCase								=					{"vision": r_layers, "cross_encoder": x_layers, "language": l_layers}
           super().__init__(**__UpperCamelCase	)














from __future__ import annotations

from math import pi

# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
lowerCamelCase			:					int         =	1.0_5457_1817E-34  # unit of ℏ : J * s

lowerCamelCase			:					Union[str, Any]         =	3E8  # unit of c : m * s^-1





def       __lowerCAmelCase      (						__snake_case					, __snake_case					, __snake_case       ):

     if (force, area, distance).count(0       ) != 1:
          raise ValueError("One and only one argument must be 0"       )
     if force < 0:
          raise ValueError("Magnitude of force can not be negative"       )
     if distance < 0:
          raise ValueError("Distance can not be negative"       )
     if area < 0:
          raise ValueError("Area can not be negative"       )
     if force == 0:
          __lowerCAmelCase								=					(REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (
              240 * (distance) ** 4
          )
          return {"force": force}
     elif area == 0:
          __lowerCAmelCase								=					(240 * force * (distance) ** 4) / (
              REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2
          )
          return {"area": area}
     elif distance == 0:
          __lowerCAmelCase								=					(
              (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (240 * force)
          ) ** (1 / 4)
          return {"distance": distance}
     raise ValueError("One and only one argument must be 0"       )


# Run doctest
if __name__ == "__main__":
 import doctest

 doctest.testmod()






