def test_set_log_does_not_change_other_sessions():
"""The plot preferences in different sessions are distinct.
"""
session1 = Session()
session2 = Session()
session1.set_xlog()
session2.set_ylog()
assert session1.get_data_plot_prefs()['xlog']
assert not session1.get_data_plot_prefs()['ylog']
assert not session2.get_data_plot_prefs()['xlog']
assert session2.get_data_plot_prefs()['ylog']
def test_paramprompt_single_parameter_check_invalid_max(caplog):
s = Session()
s._add_model_types(sherpa.models.basic)
s.paramprompt(True)
assert len(caplog.records) == 0
with SherpaVerbosity('INFO'):
with patch("sys.stdin", StringIO("-2,,typo\n-200,,-2")):
s.set_source("scale1d.bob")
assert len(caplog.records) == 1
lname, lvl, msg = caplog.record_tuples[0]
assert lname == "sherpa.ui.utils"
assert lvl == logging.INFO
assert msg == "Please provide a float value; could not convert string to float: 'typo'"
mdl = s.get_model_component('bob')
assert mdl.c0.val == pytest.approx(-200)
assert mdl.c0.min < -3e38
assert mdl.c0.max == pytest.approx(-2)
# remove the bob symbol from the global table
s.clean()
def test_set_source_invalid():
s = Session()
with pytest.raises(ArgumentErr) as ae:
s.set_source('2 * made_up.foo')
assert str(ae.value) == "invalid model expression: name 'made_up' is not defined"
def test_delete_model_component_not_a_component():
"""Check correct error message for non-existent model"""
s = Session()
with pytest.raises(IdentifierErr,
match="model component 'tst' does not exist"):
s.delete_model_component('tst')
def test_paramprompt_single_parameter_check_too_many_commas(caplog):
"""Check we tell users there was a problem"""
s = Session()
s._add_model_types(sherpa.models.basic)
s.paramprompt(True)
assert len(caplog.records) == 0
with SherpaVerbosity('INFO'):
with patch("sys.stdin", StringIO(",,,,\n12")):
s.set_source("scale1d.bob")
assert len(caplog.records) == 1
lname, lvl, msg = caplog.record_tuples[0]
assert lname == "sherpa.ui.utils"
assert lvl == logging.INFO
assert msg == "Error: Please provide a comma-separated list of floats; e.g. val,min,max"
mdl = s.get_model_component('bob')
assert mdl.c0.val == pytest.approx(12)
assert mdl.c0.min < -3e38
assert mdl.c0.max > 3e38
# remove the bob symbol from the global table
s.clean()
def test_paramprompt_multi_parameter(caplog):
"""Check that paramprompt works with multiple parameters"""
s = Session()
s._add_model_types(sherpa.models.basic)
cpt1 = s.create_model_component('const1d', 'bob')
cpt2 = s.create_model_component('gauss1d', 'fred')
s.paramprompt(True)
assert len(caplog.records) == 0
with SherpaVerbosity('INFO'):
with patch("sys.stdin", StringIO("\n5,1,5\n\n-5, -5, 0")):
s.set_source(bob + fred)
assert len(caplog.records) == 0
assert cpt1.c0.val == pytest.approx(1)
assert cpt1.c0.min < -3e38
assert cpt1.c0.max > 3e38
assert cpt2.fwhm.val == pytest.approx(5)
assert cpt2.fwhm.min == pytest.approx(1)
assert cpt2.fwhm.max == pytest.approx(5)
assert cpt2.pos.val == pytest.approx(0)
assert cpt2.pos.min < -3e38
assert cpt2.pos.max > 3e38
assert cpt2.ampl.val == pytest.approx(-5)
assert cpt2.ampl.min == pytest.approx(-5)
assert cpt2.ampl.max == pytest.approx(0)
def test_get_default_id():
"""Does the default id react correctly?"""
s = Session()
assert s.get_default_id() == 1
s.set_default_id('alpha')
assert s.get_default_id() == 'alpha'
def test_set_stat(name, req):
"""We can set the statistic"""
s = Session()
s.set_stat(name)
ans = s.get_stat()
assert isinstance(ans, req)
def test_set_method(name, req):
"""We can set the method"""
s = Session()
s.set_method(name)
ans = s.get_method()
assert isinstance(ans, req)
def test_309(make_data_path):
idval = 'bug309'
# have values near unity for the data
ynorm = 1e9
session = Session()
dname = make_data_path('load_template_with_interpolation-bb_data.dat')
session.load_data(idval, dname)
session.get_data(idval).y *= ynorm
indexname = 'bb_index.dat'
datadir = make_data_path('')
# Need to load the data from the same directory as the index
basedir = os.getcwd()
os.chdir(datadir)
try:
session.load_template_model('bbtemp', indexname)
finally:
os.chdir(basedir)
bbtemp = session.get_model_component('bbtemp')
session.set_source(idval, bbtemp * ynorm)
session.set_method('gridsearch')
session.set_method_opt('sequence', None)
session.fit(idval)
def test_models_all_xspec():
"""Check all models are returned"""
import sherpa.astro.xspec
s = Session()
s._add_model_types(sherpa.models.basic)
s._add_model_types(sherpa.astro.xspec)
# Actually, it's not guaranteed that these models are disjoint
# but they are at the moment.
#
mall = s.list_models('all')
m1d = s.list_models('1d')
m2d = s.list_models('2d')
mxs = s.list_models('xspec')
nall = len(mall)
assert nall == len(m1d) + len(m2d) + len(mxs)
mall = set(mall)
assert nall == len(mall)
mcomb = set(m1d).union(set(m2d)).union(set(mxs))
assert nall == len(mcomb)
def test_paramprompt_eof(caplog):
"""What happens when we end early?"""
s = Session()
s._add_model_types(sherpa.models.basic)
cpt1 = s.create_model_component('const1d', 'bob')
cpt2 = s.create_model_component('gauss1d', 'fred')
s.paramprompt(True)
assert len(caplog.records) == 0
with pytest.raises(EOFError):
with SherpaVerbosity('INFO'):
with patch("sys.stdin", StringIO("\n5,1,5\n2\n")):
s.set_source(bob + fred)
assert len(caplog.records) == 0
assert cpt1.c0.val == pytest.approx(1)
assert cpt1.c0.min < -3e38
assert cpt1.c0.max > 3e38
assert cpt2.fwhm.val == pytest.approx(5)
assert cpt2.fwhm.min == pytest.approx(1)
assert cpt2.fwhm.max == pytest.approx(5)
assert cpt2.pos.val == pytest.approx(2)
assert cpt2.pos.min < -3e38
assert cpt2.pos.max > 3e38
assert cpt2.ampl.val == pytest.approx(1)
assert cpt2.ampl.min < -3e38
assert cpt2.ampl.max > 3e38
def test_add_user_pars_modelname_not_a_model1():
s = Session()
with pytest.raises(ArgumentTypeErr) as exc:
s.add_user_pars('not a model', ['x'])
assert str(exc.value) == "'not a model' must be a user model"
def test_get_error_estimator(name, req):
"""Can we get the error estimator?"""
s = Session()
func = getattr(s, 'get_{}'.format(name))
ans = func()
assert isinstance(ans, req)
def test_add_user_pars_modelname_not_a_string():
s = Session()
with pytest.raises(ArgumentTypeErr) as exc:
s.add_user_pars(23, ['x'])
assert str(exc.value) == "'model name' must be a string"
def test_paramprompt_single_parameter_check_invalid_max_out_of_bound(caplog):
"""Note this creates two warnings"""
s = Session()
s._add_model_types(sherpa.models.basic)
s.paramprompt(True)
assert len(caplog.records) == 0
with SherpaVerbosity('INFO'):
with patch("sys.stdin", StringIO(",,typo\n,,-200")):
s.set_source("scale1d.bob")
assert len(caplog.records) == 2
lname, lvl, msg = caplog.record_tuples[0]
assert lname == "sherpa.ui.utils"
assert lvl == logging.INFO
assert msg == "Please provide a float value; could not convert string to float: 'typo'"
lname, lvl, msg = caplog.record_tuples[1]
assert lname == "sherpa.models.parameter"
assert lvl == logging.WARN
assert msg == "parameter bob.c0 greater than new maximum; bob.c0 reset to -200"
mdl = s.get_model_component('bob')
assert mdl.c0.val == pytest.approx(-200)
assert mdl.c0.min < -3e38
assert mdl.c0.max == pytest.approx(-200)
def test_paramprompt_set_false(flag):
"""The default setting is False."""
s = Session()
s._paramprompt = True
s.paramprompt(flag)
assert not s._paramprompt
def test_issue_16():
"""Check one of the examples from #16"""
s = Session()
s._add_model_types(sherpa.models.basic)
s.dataspace1d(0.01, 11, 0.01, id=1)
s.dataspace1d(2, 5, 0.1, id="tst")
s.set_source(1, 'powlaw1d.pl1')
s.set_source('tst', 'powlaw1d.pltst')
assert s.list_data_ids() == [1, 'tst']
assert s.list_model_ids() == [1, 'tst']
assert s.list_model_components() == ['pl1', 'pltst']
s.delete_model(id='tst')
s.delete_model_component("pltst")
s.delete_data(id='tst')
assert s.list_data_ids() == [1]
assert s.list_model_ids() == [1]
assert s.list_model_components() == ['pl1']
s.delete_model(id=1)
s.delete_model_component("pl1")
s.delete_data(id=1)
assert s.list_data_ids() == []
assert s.list_model_ids() == []
assert s.list_model_components() == []
def test_get_method_invalid():
"""Errors out with invalid argument"""
s = Session()
with pytest.raises(ArgumentTypeErr) as exc:
s.get_method(opt.MonCar)
assert str(exc.value) == "'name' must be a string"
def test_list_methods():
"""we have some methods"""
s = Session()
methods = s.list_methods()
assert type(methods) == list
assert len(methods) > 1 # do not check exact number
assert 'levmar' in methods
def data_for_load_arrays(request):
data_class = request.param
from sherpa.astro.ui.utils import Session
session = Session()
data_args = INSTANCE_ARGS[data_class]
args = data_args + (data_class, )
data = data_class(*data_args)
return session, args, data
def test_get_stat_invalid():
"""Errors out with invalid argument"""
s = Session()
with pytest.raises(ArgumentTypeErr) as exc:
s.get_stat(stats.Cash)
assert str(exc.value) == "'name' must be a string"
def test_delete_model_component_not_a_component():
"""Check correct error message for non-exitant model"""
s = Session()
with pytest.raises(IdentifierErr) as te:
s.delete_model_component('tst')
assert str(te.value) == "model component 'tst' does not exist"
def test_set_stat_invalid():
"""Errors out with invalid argument"""
s = Session()
with pytest.raises(ArgumentTypeErr) as exc:
s.set_stat(sherpa.models.basic.Const1D)
assert str(exc.value) == "'stat' must be a statistic name or object"
def test_list_iter_methods():
"""we have some iteration methods"""
s = Session()
methods = s.list_iter_methods()
assert type(methods) == list
assert len(methods) > 1 # do not check exact number
assert 'none' in methods
assert 'sigmarej' in methods
def test_get_functions():
"""Limited check of get_functions"""
s = Session()
fns = s.get_functions()
assert type(fns) == list
assert len(fns) > 1
assert all([type(f) == str for f in fns])
assert 'load_data' in fns
def test_list_ids():
session = Session()
session.load_arrays(1, TEST, TEST)
session.load_arrays("1", TEST, TEST2)
# order of 1 and "1" is not determined
assert {1, "1"} == set(session.list_data_ids())
assert_array_equal(TEST2, session.get_data('1').get_dep())
assert_array_equal(TEST, session.get_data(1).get_dep())
def test_list_ids():
session = Session()
session.load_arrays(1, [1, 2, 3], [1, 2, 3])
session.load_arrays("1", [1, 2, 3], [4, 5, 6])
# order of 1 and "1" is not determined
assert {1, "1"} == set(session.list_data_ids())
assert_array_equal([4, 5, 6], session.get_data('1').get_dep())
assert_array_equal([1, 2, 3], session.get_data(1).get_dep())
def test_regression_346(Session):
session = Session()
x = numpy.arange(-5, 5.1)
old_y = x * x + 23.2
y = numpy.ma.masked_array(old_y, mask=old_y < 35)
e = numpy.ones(x.size)
session.load_arrays("mydata", x, y, e)
filtered_y = session.get_dep("mydata", filter=True)
assert numpy.allclose(filtered_y, [48.2, 39.2, 39.2, 48.2])
def test_error_estimate_not_set(name, fullname):
"""Error out if the error estimate is not set"""
s = Session()
func = getattr(s, 'get_{}_results'.format(name))
with pytest.raises(SessionErr) as exc:
func()
assert str(exc.value) == "{} has not been performed".format(fullname)
