circuitpython-ulab/tests/numpy/optim.py
2020-11-23 21:43:34 +01:00

46 lines
1.7 KiB
Python

import math
try:
import ulab as np
use_ulab = True
except ImportError:
from scipy import optimize
use_ulab = False
def f(x):
return x**2 - 2.0
if use_ulab:
ref_result = 1.41421826342255
result = (np.newton(f, 3.0, tol=0.001, rtol=0.01))
print(math.isclose(result, ref_result, rel_tol=1E-6, abs_tol=1E-6))
result = (np.newton(f, 3.0, tol=0.001, rtol=0.01, maxiter=100))
print(math.isclose(result, ref_result, rel_tol=1E-6, abs_tol=1E-6))
ref_result = 1.4142135623715149
result = (np.bisect(f, 1.0, 3.0))
print(math.isclose(result, ref_result, rel_tol=1E-6, abs_tol=1E-6))
ref_result = -7.105427357601002e-15
result = np.fmin(f, 3.0, fatol=1e-15)
print(math.isclose(result, ref_result, rel_tol=1E-6, abs_tol=1E-6))
ref_result = -7.105427357601002e-15
result = np.fmin(f, 3.0, xatol=1e-8, fatol=1e-15, maxiter=500)
print(math.isclose(result, ref_result, rel_tol=1E-6, abs_tol=1E-6))
else:
ref_result = 1.41421826342255
result = optimize.newton(f, 3., tol=0.001, rtol=0.01)
print(math.isclose(result, ref_result, rel_tol=1E-9, abs_tol=1E-9))
result = optimize.newton(f, 3., tol=0.001, rtol=0.01, maxiter=100)
print(math.isclose(result, ref_result, rel_tol=1E-9, abs_tol=1E-9))
ref_result = 1.4142135623715149
result = optimize.bisect(f, 1.0, 3.0)
print(math.isclose(result, ref_result, rel_tol=1E-9, abs_tol=1E-9))
ref_result = -7.105427357601002e-15
result = optimize.fmin(f, 3.0, disp=0)
print(math.isclose(result[0], ref_result, rel_tol=1E-9, abs_tol=1E-9))
result = optimize.fmin(f, 3.0, xtol=0.0001, ftol=0.0001, disp=0)
print(math.isclose(result[0], ref_result, rel_tol=1E-9, abs_tol=1E-9))