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parameter_sampling.py
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Sat, Apr 20, 04:41

parameter_sampling.py
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# Copyright (C) 2018 by the RROMPy authors
#
# This file is part of RROMPy.
#
# RROMPy is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# RROMPy is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with RROMPy. If not, see <http://www.gnu.org/licenses/>.
#
import numpy as np
from rrompy.parameter.parameter_sampling import (ManualSampler,
QuadratureSampler, RandomSampler, FFTSampler)
from rrompy.parameter import checkParameter
def test_manual():
sampler = ManualSampler(lims = [0., 3.], points = np.linspace(0, 3, 101),
scalingExp = 2.)
assert sampler.name() == "ManualSampler"
x = sampler.generatePoints(10)
assert np.allclose(x(0), np.linspace(0, 3, 101)[:10], rtol = 1e-5)
def test_quadrature():
sampler = QuadratureSampler(lims = [0., 3.], kind = "CHEBYSHEV")
x = sampler.generatePoints(9, reorder = False)
assert np.isclose(x(0)[4], 1.5, rtol = 1e-5)
def test_random():
sampler = RandomSampler(lims = [0., 3.], kind = "SOBOL", seed = 13432)
x = sampler.generatePoints(100)
assert np.isclose(x(0)[47], 0.55609130859375, rtol = 1e-5)
def test_fft():
sampler = FFTSampler(lims = [-1., 1.])
x = sampler.generatePoints(100)
assert np.allclose(np.power(x(0), 100), 1., rtol = 1e-5)
def test_2D():
sampler = QuadratureSampler(lims = [(0., 0.), (3., 1.)],
kind = "GAUSSLEGENDRE")
x = sampler.generatePoints(81)
assert sum(np.isclose(x(0), 1.5)) == 9
assert sum(np.isclose(x(1), .5)) == 9
def test_4D():
sampler = RandomSampler(lims = [(0.,) * 4, (1.,) * 4],
kind = "UNIFORM", seed = 1234)
x = sampler.generatePoints(10)
assert x.shape[1] == 4
assert checkParameter([x[0]]) == checkParameter([(0.191519450378892,
0.622108771039832, 0.437727739007115, 0.785358583713769)])

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