


"""simple docstring"""







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


__lowercase    					=      logging.get_logger(__name__)

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






class 						_A  (  _a  ):







    """simple docstring"""




    UpperCAmelCase       :							Optional[Any]	=       """lxmert"""
    UpperCAmelCase       :							str	=       {}






    def __init__(					self				:    int				, __UpperCAmelCase				:    List[str]=30522				, __UpperCAmelCase				:    Optional[Any]=768				, __UpperCAmelCase				:    str=12				, __UpperCAmelCase				:    List[Any]=9500				, __UpperCAmelCase				:    Dict=1600				, __UpperCAmelCase				:    Tuple=400				, __UpperCAmelCase				:    List[str]=3072				, __UpperCAmelCase				:    Tuple="gelu"				, __UpperCAmelCase				:    str=0.1				, __UpperCAmelCase				:    Any=0.1				, __UpperCAmelCase				:    Union[str, Any]=512				, __UpperCAmelCase				:    Dict=2				, __UpperCAmelCase				:    List[str]=0.02				, __UpperCAmelCase				:    List[str]=1e-12				, __UpperCAmelCase				:    Optional[int]=9				, __UpperCAmelCase				:    List[str]=5				, __UpperCAmelCase				:    Dict=5				, __UpperCAmelCase				:    List[str]=2048				, __UpperCAmelCase				:    List[Any]=4				, __UpperCAmelCase				:    Tuple=6.67				, __UpperCAmelCase				:    Optional[int]=True				, __UpperCAmelCase				:    int=True				, __UpperCAmelCase				:    Optional[int]=True				, __UpperCAmelCase				:    Optional[Any]=True				, __UpperCAmelCase				:    List[Any]=True				, __UpperCAmelCase				:    Optional[Any]=True				, __UpperCAmelCase				:    Optional[int]=True				, **__UpperCAmelCase				:    str				, ):
      a						:		Tuple      							=			vocab_size
      a						:		Optional[Any]      							=			hidden_size
      a						:		List[str]      							=			num_attention_heads
      a						:		int      							=			hidden_act
      a						:		Dict      							=			intermediate_size
      a						:		Optional[Any]      							=			hidden_dropout_prob
      a						:		Tuple      							=			attention_probs_dropout_prob
      a						:		str      							=			max_position_embeddings
      a						:		Optional[int]      							=			type_vocab_size
      a						:		str      							=			initializer_range
      a						:		Tuple      							=			layer_norm_eps
      a						:		Any      							=			num_qa_labels
      a						:		str      							=			num_object_labels
      a						:		Any      							=			num_attr_labels
      a						:		Union[str, Any]      							=			l_layers
      a						:		int      							=			x_layers
      a						:		str      							=			r_layers
      a						:		Dict      							=			visual_feat_dim
      a						:		int      							=			visual_pos_dim
      a						:		Optional[int]      							=			visual_loss_normalizer
      a						:		Any      							=			task_matched
      a						:		Optional[int]      							=			task_mask_lm
      a						:		Union[str, Any]      							=			task_obj_predict
      a						:		List[str]      							=			task_qa
      a						:		Any      							=			visual_obj_loss
      a						:		Union[str, Any]      							=			visual_attr_loss
      a						:		int      							=			visual_feat_loss
      a						:		int      							=			{"vision": r_layers, "cross_encoder": x_layers, "language": l_layers}
      super().__init__(**__UpperCAmelCase)










"""simple docstring"""







from __future__ import annotations

from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray


def      lowercase			(				A_  ,   A_  ,   A_ = False       )->      list[float]:
  '''simple docstring'''







  if radian_mode:
    return [magnitude * cos(A_       ), magnitude * sin(A_       )]
  return [magnitude * cos(radians(A_       )       ), magnitude * sin(radians(A_       )       )]


def      lowercase			(				A_  ,   A_  ,   A_ = 10**-1       )->      bool:
  '''simple docstring'''







  a						:		NDArray[floataa]      							=			cross(A_  ,   A_       )
  a						:		float      							=			sum(A_       )
  return abs(A_       ) < eps


if __name__ == "__main__":
 # Test to check if it works
 __lowercase    					=      array(
     [
         polar_force(7_18.4, 180 - 30),
         polar_force(8_79.54, 45),
         polar_force(100, -90),
     ]
 )

 __lowercase    					=      array([[0, 0], [0, 0], [0, 0]])

 assert in_static_equilibrium(forces, location)

 # Problem 1 in image_data/2D_problems.jpg
 __lowercase    					=      array(
     [
         polar_force(30 * 9.81, 15),
         polar_force(215, 180 - 45),
         polar_force(264, 90 - 30),
     ]
 )

 __lowercase    					=      array([[0, 0], [0, 0], [0, 0]])

 assert in_static_equilibrium(forces, location)

 # Problem in image_data/2D_problems_1.jpg
 __lowercase    					=      array([[0, -2000], [0, -1200], [0, 15600], [0, -12400]])

 __lowercase    					=      array([[0, 0], [6, 0], [10, 0], [12, 0]])

 assert in_static_equilibrium(forces, location)

 import doctest

 doctest.testmod()






