




from __future__ import annotations

from scipy.special import comb  # type: ignore







class   A:



 '''simple docstring'''


 def __init__(    self :  Optional[int]						,							A_ :  list[tuple[float, float]]  )       ->     Optional[int]:

       """simple docstring"""






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

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

       """simple docstring"""






       assert 0 <= t <= 1, "Time t must be between 0 and 1."
       lowerCamelCase_							=   []
       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     a__			(    self :  Any						,							A_ :  float  )       ->     tuple[float, float]:

       """simple docstring"""






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

       lowerCamelCase_							=   self.basis_function(A_  )
       lowerCamelCase_							=   0.0
       lowerCamelCase_							=   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     a__			(    self :  int						,							A_ :  float = 0.01  )       ->     Any:

       """simple docstring"""






       from matplotlib import pyplot as plt  # type: ignore

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

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

       lowerCamelCase_							=   [i[0] for i in self.list_of_points]
       lowerCamelCase_							=   [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









import os
import time

import numpy as np
import onnxruntime as ort


lowerCamelCase    :		int			   =       "1"
lowerCamelCase    :		int			   =       "0"
lowerCamelCase    :		Union[str, Any]			   =       "1"

lowerCamelCase    :		List[Any]			   =       ort.SessionOptions()
lowerCamelCase    :		Optional[Any]			   =       ort.GraphOptimizationLevel.ORT_DISABLE_ALL
print("Create inference session...")
lowerCamelCase    :		Union[str, Any]			   =       ["TensorrtExecutionProvider", "CUDAExecutionProvider"]
lowerCamelCase    :		Tuple			   =       ort.InferenceSession("model.onnx", sess_options=sess_opt, providers=execution_provider)
lowerCamelCase    :		List[Any]			   =       ort.RunOptions()

lowerCamelCase    :		List[str]			   =       128
lowerCamelCase    :		List[Any]			   =       1
lowerCamelCase    :		Union[str, Any]			   =       np.ones((batch, sequence), dtype=np.intaa)
lowerCamelCase    :		Dict			   =       np.ones((batch, sequence), dtype=np.intaa)
lowerCamelCase    :		Optional[Any]			   =       np.ones((batch, sequence), dtype=np.intaa)

print("Warm up phase...")
sess.run(
    None,
    {
        sess.get_inputs()[0].name: input_ids,
        sess.get_inputs()[1].name: attention_mask,
        sess.get_inputs()[2].name: token_type_ids,
    },
    run_options=run_opt,
)

print("Start inference...")
lowerCamelCase    :		int			   =       time.time()
lowerCamelCase    :		Dict			   =       2_000
lowerCamelCase    :		Any			   =       {}
for iter in range(max_iters):
 lowerCamelCase    :		Union[str, Any]			   =       sess.run(
     None,
     {
         sess.get_inputs()[0].name: input_ids,
         sess.get_inputs()[1].name: attention_mask,
         sess.get_inputs()[2].name: token_type_ids,
     },
     run_options=run_opt,
 )
print("Average Inference Time = {:.3f} ms".format((time.time() - start_time) * 1_000 / max_iters))



