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)