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


lowerCamelCase__	=							logging.get_logger(__name__)

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







class        lowerCAmelCase__      (   __lowercase	):
						UpperCamelCase_							: Union[str, Any]	=		"lxmert"
						UpperCamelCase_							: Any	=		{}

						def __init__(			self       ,							a=3_05_22       ,							a=7_68       ,							a=12       ,							a=95_00       ,							a=16_00       ,							a=4_00       ,							a=30_72       ,							a="gelu"       ,							a=0.1       ,							a=0.1       ,							a=5_12       ,							a=2       ,							a=0.02       ,							a=1e-12       ,							a=9       ,							a=5       ,							a=5       ,							a=20_48       ,							a=4       ,							a=6.67       ,							a=True       ,							a=True       ,							a=True       ,							a=True       ,							a=True       ,							a=True       ,							a=True       ,							**a       ,							)					->      List[Any]:


								'''simple docstring'''

								_UpperCamelCase						    =	vocab_size
								_UpperCamelCase						    =	hidden_size
								_UpperCamelCase						    =	num_attention_heads
								_UpperCamelCase						    =	hidden_act
								_UpperCamelCase						    =	intermediate_size
								_UpperCamelCase						    =	hidden_dropout_prob
								_UpperCamelCase						    =	attention_probs_dropout_prob
								_UpperCamelCase						    =	max_position_embeddings
								_UpperCamelCase						    =	type_vocab_size
								_UpperCamelCase						    =	initializer_range
								_UpperCamelCase						    =	layer_norm_eps
								_UpperCamelCase						    =	num_qa_labels
								_UpperCamelCase						    =	num_object_labels
								_UpperCamelCase						    =	num_attr_labels
								_UpperCamelCase						    =	l_layers
								_UpperCamelCase						    =	x_layers
								_UpperCamelCase						    =	r_layers
								_UpperCamelCase						    =	visual_feat_dim
								_UpperCamelCase						    =	visual_pos_dim
								_UpperCamelCase						    =	visual_loss_normalizer
								_UpperCamelCase						    =	task_matched
								_UpperCamelCase						    =	task_mask_lm
								_UpperCamelCase						    =	task_obj_predict
								_UpperCamelCase						    =	task_qa
								_UpperCamelCase						    =	visual_obj_loss
								_UpperCamelCase						    =	visual_attr_loss
								_UpperCamelCase						    =	visual_feat_loss
								_UpperCamelCase						    =	{"""vision""": r_layers, """cross_encoder""": x_layers, """language""": l_layers}
								super().__init__(**a				)





from math import isclose, sqrt


def 							__A(lowerCAmelCase						,  lowerCAmelCase						,  lowerCAmelCase )		->				tuple[float, float, float]:

		"""simple docstring"""






		_UpperCamelCase						    =	point_y / 4 / point_x
		_UpperCamelCase						    =	2 * normal_gradient / (1 + normal_gradient * normal_gradient)
		_UpperCamelCase						    =	(1 - normal_gradient * normal_gradient) / (
		    1 + normal_gradient * normal_gradient
		)
		_UpperCamelCase						    =	(sa - ca * incoming_gradient) / (ca + sa * incoming_gradient)

		# to find the next point, solve the simultaeneous equations:
		# y^2 + 4x^2 = 100
		# y - b = m * (x - a)
		# ==> A x^2 + B x + C = 0
		_UpperCamelCase						    =	outgoing_gradient**2 + 4
		_UpperCamelCase						    =	2 * outgoing_gradient * (point_y - outgoing_gradient * point_x)
		_UpperCamelCase						    =	(point_y - outgoing_gradient * point_x) ** 2 - 1_0_0

		_UpperCamelCase						    =	(
		    -linear_term - sqrt(linear_term**2 - 4 * quadratic_term * constant_term )
		) / (2 * quadratic_term)
		_UpperCamelCase						    =	(
		    -linear_term + sqrt(linear_term**2 - 4 * quadratic_term * constant_term )
		) / (2 * quadratic_term)

		# two solutions, one of which is our input point
		_UpperCamelCase						    =	x_minus if isclose(lowerCAmelCase						,  lowerCAmelCase ) else x_plus
		_UpperCamelCase						    =	point_y + outgoing_gradient * (next_x - point_x)

		return next_x, next_y, outgoing_gradient


def 							__A(lowerCAmelCase = 1.4						,  lowerCAmelCase = -9.6 )		->				int:

		"""simple docstring"""






		_UpperCamelCase						    =	0
		_UpperCamelCase						    =	first_x_coord
		_UpperCamelCase						    =	first_y_coord
		_UpperCamelCase						    =	(10.1 - point_y) / (0.0 - point_x)

		while not (-0.01 <= point_x <= 0.01 and point_y > 0):
				_UpperCamelCase    ,	_UpperCamelCase    ,	_UpperCamelCase						    =	next_point(lowerCAmelCase						,  lowerCAmelCase						,  lowerCAmelCase )
				num_reflections += 1

		return num_reflections


if __name__ == "__main__":
		print(F"""{solution() = }""")



