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"""Tests for the Iteration Callback Function."""
import numpy as np
import pytest
from lmfit.lineshapes import gaussian
from lmfit.models import GaussianModel, LinearModel
try:
import numdifftools # noqa: F401
calc_covar_options = [False, True]
except ImportError:
calc_covar_options = [False]
np.random.seed(7)
x = np.linspace(0, 20, 401)
y = gaussian(x, amplitude=24.56, center=7.6543, sigma=1.23)
y -= 0.20*x + 3.333 + np.random.normal(scale=0.23, size=len(x))
mod = GaussianModel(prefix='peak_') + LinearModel(prefix='bkg_')
pars = mod.make_params(peak_amplitude=21.0, peak_center=7.0,
peak_sigma=2.0, bkg_intercept=2, bkg_slope=0.0)
# set bounds for use with 'differential_evolution' and 'brute'
pars['bkg_intercept'].set(min=0, max=10)
pars['bkg_slope'].set(min=-5, max=5)
pars['peak_amplitude'].set(min=20, max=25)
pars['peak_center'].set(min=5, max=10)
pars['peak_sigma'].set(min=0.5, max=2)
def per_iteration(pars, iteration, resid, *args, **kws):
"""Iteration callback, will abort at iteration 23."""
return iteration == 23
@pytest.mark.parametrize("calc_covar", calc_covar_options)
@pytest.mark.parametrize("method", ['ampgo', 'brute', 'basinhopping',
'differential_evolution', 'leastsq',
'least_squares', 'nelder'])
def test_itercb(method, calc_covar):
"""Test the iteration callback for all solvers."""
out = mod.fit(y, pars, x=x, method=method, iter_cb=per_iteration,
calc_covar=calc_covar)
assert out.nfev == 23
assert out.aborted
assert not out.errorbars
assert not out.success
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