




'''simple docstring'''





import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..bit import BitConfig


_SCREAMING_SNAKE_CASE							:       Optional[int]						=			logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE							:       Union[str, Any]						=			{
    "Intel/dpt-large": "https://huggingface.co/Intel/dpt-large/resolve/main/config.json",
    # See all DPT models at https://huggingface.co/models?filter=dpt
}




class 			_snake_case		(     lowercase_							):
			lowerCAmelCase_					:				Union[str, Any]							=   "dpt"




			def __init__( self    ,							a__=768    ,							a__=12    ,							a__=12    ,							a__=3_072    ,							a__="gelu"    ,							a__=0.0    ,							a__=0.0    ,							a__=0.0_2    ,							a__=1e-12    ,							a__=384    ,							a__=16    ,							a__=3    ,							a__=False    ,							a__=True    ,							a__=[2, 5, 8, 11]    ,							a__="project"    ,							a__=[4, 2, 1, 0.5]    ,							a__=[96, 192, 384, 768]    ,							a__=256    ,							a__=-1    ,							a__=False    ,							a__=True    ,							a__=0.4    ,							a__=255    ,							a__=0.1    ,							a__=[1, 1_024, 24, 24]    ,							a__=[0, 1]    ,							a__=None    ,							**a__    ,							)    ->    List[str]:

										'''simple docstring'''




										super().__init__(**a__							)

										snake_case_      =				hidden_size
										snake_case_      =				is_hybrid

										if self.is_hybrid:
																	if backbone_config is None:
																								logger.info("Initializing the config with a `BiT` backbone."							)
																								snake_case_      =				{
																								    "global_padding": "same",
																								    "layer_type": "bottleneck",
																								    "depths": [3, 4, 9],
																								    "out_features": ["stage1", "stage2", "stage3"],
																								    "embedding_dynamic_padding": True,
																								}
																								snake_case_      =				BitConfig(**a__							)
																	elif isinstance(a__    ,							a__							):
																								logger.info("Initializing the config with a `BiT` backbone."							)
																								snake_case_      =				BitConfig(**a__							)
																	elif isinstance(a__    ,							a__							):
																								snake_case_      =				backbone_config
																	else:
																								raise ValueError(
																								    F'backbone_config must be a dictionary or a `PretrainedConfig`, got {backbone_config.__class__}.'							)

																	snake_case_      =				backbone_featmap_shape
																	snake_case_      =				neck_ignore_stages

																	if readout_type != "project":
																								raise ValueError("Readout type must be 'project' when using `DPT-hybrid` mode."							)
										else:
																	snake_case_      =				None
																	snake_case_      =				None
																	snake_case_      =				[]

										snake_case_      =				num_hidden_layers
										snake_case_      =				num_attention_heads
										snake_case_      =				intermediate_size
										snake_case_      =				hidden_act
										snake_case_      =				hidden_dropout_prob
										snake_case_      =				attention_probs_dropout_prob
										snake_case_      =				initializer_range
										snake_case_      =				layer_norm_eps
										snake_case_      =				image_size
										snake_case_      =				patch_size
										snake_case_      =				num_channels
										snake_case_      =				qkv_bias
										snake_case_      =				backbone_out_indices
										if readout_type not in ["ignore", "add", "project"]:
																	raise ValueError("Readout_type must be one of ['ignore', 'add', 'project']"							)
										snake_case_      =				readout_type
										snake_case_      =				reassemble_factors
										snake_case_      =				neck_hidden_sizes
										snake_case_      =				fusion_hidden_size
										snake_case_      =				head_in_index
										snake_case_      =				use_batch_norm_in_fusion_residual
										# auxiliary head attributes (semantic segmentation)
										snake_case_      =				use_auxiliary_head
										snake_case_      =				auxiliary_loss_weight
										snake_case_      =				semantic_loss_ignore_index
										snake_case_      =				semantic_classifier_dropout




			def        lowerCAmelCase__    ( self							)    ->    Optional[Any]:

										'''simple docstring'''




										snake_case_      =				copy.deepcopy(self.__dict__							)

										if output["backbone_config"] is not None:
																	snake_case_      =				self.backbone_config.to_dict()

										snake_case_      =				self.__class__.model_type
										return output










'''simple docstring'''





from __future__ import annotations

from scipy.special import comb  # type: ignore




class 			_snake_case		:




			def __init__( self    ,							a__							)    ->    Union[str, Any]:

										'''simple docstring'''




										snake_case_      =				list_of_points
										# Degree determines the flexibility of the curve.
										# Degree = 1 will produce a straight line.
										snake_case_      =				len(a__							) - 1




			def        lowerCAmelCase__    ( self    ,							a__							)    ->    list[float]:

										'''simple docstring'''




										assert 0 <= t <= 1, "Time t must be between 0 and 1."
										snake_case_      =				[]
										for i in range(len(self.list_of_points							)							):
																	# basis function for each i
																	output_values.append(
																	    comb(self.degree    ,							a__							) * ((1 - t) ** (self.degree - i)) * (t**i)							)
										# the basis must sum up to 1 for it to produce a valid Bezier curve.
										assert round(sum(a__							)    ,							5							) == 1
										return output_values




			def        lowerCAmelCase__    ( self    ,							a__							)    ->    tuple[float, float]:

										'''simple docstring'''




										assert 0 <= t <= 1, "Time t must be between 0 and 1."

										snake_case_      =				self.basis_function(a__							)
										snake_case_      =				0.0
										snake_case_      =				0.0
										for i in range(len(self.list_of_points							)							):
																	# For all points, sum up the product of i-th basis function and i-th point.
																	x += basis_function[i] * self.list_of_points[i][0]
																	y += basis_function[i] * self.list_of_points[i][1]
										return (x, y)




			def        lowerCAmelCase__    ( self    ,							a__ = 0.0_1							)    ->    Any:

										'''simple docstring'''




										from matplotlib import pyplot as plt  # type: ignore

										snake_case_      =				[]  # x coordinates of points to plot
										snake_case_      =				[]  # y coordinates of points to plot

										snake_case_      =				0.0
										while t <= 1:
																	snake_case_      =				self.bezier_curve_function(a__							)
																	to_plot_x.append(value[0]							)
																	to_plot_y.append(value[1]							)
																	t += step_size

										snake_case_      =				[i[0] for i in self.list_of_points]
										snake_case_      =				[i[1] for i in self.list_of_points]

										plt.plot(
										    a__    ,							a__    ,							color="blue"    ,							label="Curve of Degree " + str(self.degree							)    ,							)
										plt.scatter(a__    ,							a__    ,							color="red"    ,							label="Control Points"							)
										plt.legend()
										plt.show()


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		BezierCurve([(1, 2), (3, 5)]).plot_curve()  # degree 1
		BezierCurve([(0, 0), (5, 5), (5, 0)]).plot_curve()  # degree 2
		BezierCurve([(0, 0), (5, 5), (5, 0), (2.5, -2.5)]).plot_curve()  # degree 3




