[docs]def gfun_300(x):
"""Performance function for reliability problem 300.
Parameters
----------
x : numpy.array of float(s)
Values of independent variables: columns are the different parameters/random variables (x1, x2,...xn) and rows are different parameter/random variables sets for different calls.
Returns
-------
g_val_sys : numpy.array of float(s)
Performance function value for the system.
g_val_comp : numpy.array of float(s)
Performance function value for each component.
msg : str
Accompanying diagnostic message, e.g. warning.
"""
import numpy as np
from code_rp.gfun.juan_first_passage.juan_first_passage import juan_first_passage
from timeit import default_timer as timer
# expected number of random variables/columns
nrv_e = 14
g = float('nan')
msg = 'Ok'
x = np.array(x, dtype='f')
n_dim = len(x.shape)
if n_dim == 1:
x = np.array(x)[np.newaxis]
elif n_dim > 2:
msg = 'Only available for 1D and 2D arrays.'
return float('nan'), float('nan'), msg
nrv_p = x.shape[1]
if nrv_p != nrv_e:
msg = f'The number of random variables (x, columns) is expected to be {nrv_e} but {nrv_p} is provided!'
else:
start = timer()
g = juan_first_passage(x)
end = timer()
# print(f'Elapsed time: {end - start} sec')
g_val_sys = g
g_val_comp = g
return g_val_sys, g_val_comp, msg