def test_err_estimate_model(strings, idval, otherids, clean_ui):
"""Ensure we can use model with conf/proj/covar.
This is test_err_estimate_multi_ids but
- added an extra model to each source (that evaluates to 0)
- we include the model expression in the call.
The fit and error analysis should be the same however the ordering
is done.
"""
# This is a bit ugly
if strings:
idval = str(idval)
if type(otherids) == tuple:
otherids = (str(otherids[0]), str(otherids[1]))
else:
otherids = [str(otherids[0]), str(otherids[1])]
datasets = tuple([idval] + list(otherids))
setup_err_estimate_multi_ids(strings=strings)
zero = ui.create_model_component("scale1d", "zero")
zero.c0 = 0
zero.c0.freeze()
for id in datasets:
# In this case we have
# orig == mdl
# but let's be explicit in case the code changes
#
orig = ui.get_source(id)
ui.set_source(id, orig + zero)
ui.fit(idval, *otherids)
res = ui.get_fit_results()
assert res.datasets == datasets
assert res.numpoints == 10
assert res.statval == pytest.approx(3.379367979541458)
assert ui.calc_stat() == pytest.approx(4255.615602052843)
assert mdl.c0.val == pytest.approx(46.046607302070015)
assert mdl.c1.val == pytest.approx(-1.9783953989993386)
# I wanted to have zero.co thawed at this stage, but then we can not
# use the ERR_EST_C0/1_xxx values as the fit has changed (and mdl.c0
# and zero.c0 are degenerate to boot).
#
ui.conf(*datasets, mdl)
res = ui.get_conf_results()
assert res.datasets == datasets
assert res.parnames == ("mdl.c0", "mdl.c1")
assert res.parmins == pytest.approx([ERR_EST_C0_MIN, ERR_EST_C1_MIN])
assert res.parmaxes == pytest.approx([ERR_EST_C0_MAX, ERR_EST_C1_MAX])
def test_ui_source_methods_with_full_model(clean_ui, setup_ui_full):
ui.load_data('full', setup_ui_full.ascii)
ui.set_full_model('full', 'powlaw1d.p1')
# Test Case 1
with pytest.raises(IdentifierErr) as exc:
ui.get_source('full')
emsg = "Convolved model\n'powlaw1d.p1'\n is set for dataset full. You should use get_model instead."
assert str(exc.value) == emsg
with pytest.raises(IdentifierErr) as exc:
ui.plot_source('full')
emsg = "Convolved model\n'powlaw1d.p1'\n is set for dataset full. You should use plot_model instead."
assert str(exc.value) == emsg
with pytest.raises(IdentifierErr) as exc:
ui.get_source_plot('full')
emsg = "Convolved model\n'powlaw1d.p1'\n is set for dataset full. You should use get_model_plot instead."
assert str(exc.value) == emsg
# Test Case 2
ui.set_source('full', 'powlaw1d.p2')
ui.get_source('full')
# Test Case 3
ui.load_data('not_full', setup_ui_full.ascii)
with pytest.raises(IdentifierErr) as exc:
ui.get_source('not_full')
emsg = 'source not_full has not been set, consider using set_source() or set_model()'
assert emsg == str(exc.value)
def test_source_methods_with_full_model(self):
from sherpa.utils.err import IdentifierErr
ui.load_data('full', self.ascii)
ui.set_full_model('full', 'powlaw1d.p1')
# Test Case 1
try:
ui.get_source('full')
except IdentifierErr as e:
self.assertRegex(
str(e),
"Convolved model\n.*\n is set for dataset full. You should use get_model instead.",
str(e))
try:
ui.plot_source('full')
except IdentifierErr as e:
self.assertRegex(
str(e),
"Convolved model\n.*\n is set for dataset full. You should use plot_model instead.",
str(e))
# Test Case 2
ui.set_source('full', 'powlaw1d.p2')
ui.get_source('full')
# Test Case 3
ui.load_data('not_full', self.ascii)
try:
ui.get_source('not_full')
except IdentifierErr as e:
self.assertEqual(
'source not_full has not been set, consider using set_source() or set_model()',
str(e))
def test_source_methods_with_full_model(self):
from sherpa.utils.err import IdentifierErr
ui.load_data('full', self.ascii)
ui.set_full_model('full', 'powlaw1d.p1')
# Test Case 1
try:
ui.get_source('full')
except IdentifierErr as e:
self.assertRegexpMatches(str(e), "Convolved model\n.*\n is set for dataset full. You should use get_model instead.", str(e))
try:
ui.plot_source('full')
except IdentifierErr as e:
self.assertEquals("Convolved model\n'p1'\n is set for dataset full. You should use plot_model instead.", str(e))
# Test Case 2
ui.set_source('full', 'powlaw1d.p2')
ui.get_source('full')
# Test Case 3
ui.load_data('not_full', self.ascii)
try:
ui.get_source('not_full')
except IdentifierErr as e:
self.assertEquals('source not_full has not been set, consider using set_source() or set_model()', str(e))
def test_set_full_model(self):
ui.load_psf("psf1", "gauss2d.g1")
ui.set_full_model("psf1(gauss2d.g2)+const2d.c1")
ui.get_model()
ui.get_source()
# coding: utf-8
import sherpa.ui as ui
ui.load_data("load_template_without_interpolation-bb_data.dat")
ui.load_template_model('bb1', "bb_index.dat", template_interpolator_name=None)
ui.set_source('bb1')
assert ui.get_source().is_discrete
ui.set_source('bb1*const1d.c1+gauss1d.g2**const1d.c2')
assert ui.get_source().is_discrete
def test_set_full_model(self):
ui.load_psf('psf1', 'gauss2d.g1')
ui.set_full_model('psf1(gauss2d.g2)+const2d.c1')
ui.get_model()
ui.get_source()