Profiling SGP4

Out:

----------------------- Performance analysis -----------------------
 Name                    |   Executions | Mean time     | Total time
-------------------------+--------------+---------------+---------------
 Propagator:convert_time |            1 | 5.91993e-04 s | 5.91993e-04 s
 SGP4:TEME_to_TLE        |            1 | 2.08282e-03 s | 2.08282e-03 s
 SGP4:propagate:steps    |            1 | 1.49801e-02 s | 1.49801e-02 s
 SGP4:propagate          |            1 | 2.21229e-02 s | 2.21229e-02 s
--------------------------------------------------------------------

import numpy as np

from sorts.profiling import Profiler
from sorts.propagator import SGP4

p = Profiler()

prop = SGP4(
    settings = dict(
        out_frame='TEME',
    ),
    profiler = p,
)

state0 = np.array([-7100297.113,-3897715.442,18568433.707,86.771,-3407.231,2961.571])
t = np.linspace(0,3600*24.0*2,num=5000)
mjd0 = 53005

print(prop)

states = prop.propagate(t, state0, mjd0, A=1.0, C_R = 1.0, C_D = 1.0)

print(p)