How to use test_unicode_name method in avocado

Best Python code snippet using avocado_python

test_simulationresult.py

Source:test_simulationresult.py

1from pysb.simulator import ScipyOdeSimulator, BngSimulator2from pysb.simulator.base import SimulationResult3from pysb.examples import tyson_oscillator, robertson, \4    expression_observables, earm_1_3, bax_pore_sequential, bax_pore, \5    bngwiki_egfr_simple6from pysb.bng import generate_equations7import numpy as np8import tempfile9from nose.tools import assert_raises, raises10import warnings11from pysb.pattern import SpeciesPatternMatcher12import collections13import copy14import io15import pandas as pd16def test_simres_dataframe():17    """ Test SimulationResult.dataframe() """18    tspan1 = np.linspace(0, 100, 100)19    tspan2 = np.linspace(50, 100, 50)20    tspan3 = np.linspace(100, 150, 100)21    model = tyson_oscillator.model22    sim = ScipyOdeSimulator(model, integrator='lsoda')23    simres1 = sim.run(tspan=tspan1)24    # Check retrieving a single simulation dataframe25    df_single = simres1.dataframe26    # Generate multiple trajectories27    trajectories1 = simres1.species28    trajectories2 = sim.run(tspan=tspan2).species29    trajectories3 = sim.run(tspan=tspan3).species30    # Try a simulation result with two different tspan lengths31    sim = ScipyOdeSimulator(model, param_values={'k6' : [1.,1.]}, integrator='lsoda')32    simres = SimulationResult(sim, [tspan1, tspan2], [trajectories1, trajectories2])33    df = simres.dataframe34    assert df.shape == (len(tspan1) + len(tspan2),35                        len(model.species) + len(model.observables))36    # Next try a simulation result with two identical tspan lengths, stacked37    # into a single 3D array of trajectories38    simres2 = SimulationResult(sim, [tspan1, tspan3],39                               np.stack([trajectories1, trajectories3]))40    df2 = simres2.dataframe41    assert df2.shape == (len(tspan1) + len(tspan3),42                         len(model.species) + len(model.observables))43def test_simres_observable():44    """ Test on demand observable evaluation """45    models = [tyson_oscillator.model, robertson.model,46              expression_observables.model, earm_1_3.model,47              bax_pore_sequential.model, bax_pore.model,48              bngwiki_egfr_simple.model]49    for model in models:50        generate_equations(model)51        spm = SpeciesPatternMatcher(model)52        for obs in model.observables:53            dyn_obs = spm.match(pattern=obs.reaction_pattern, index=True,54                                counts=True)55            # Need to sort by species numerical order for comparison purposes56            dyn_obs = collections.OrderedDict(sorted(dyn_obs.items()))57            dyn_species = list(dyn_obs.keys())58            if obs.match == 'species':59                dyn_coeffs = [1] * len(dyn_obs)60            else:61                dyn_coeffs = list(dyn_obs.values())62            assert dyn_species == obs.species63            assert dyn_coeffs == obs.coefficients64class TestSimulationResultEarm13(object):65    def setUp(self):66        self.model = earm_1_3.model67        self.tspan = np.linspace(0, 100, 101)68        self.sim = ScipyOdeSimulator(self.model, tspan=self.tspan)69        self.simres = self.sim.run()70    @raises(ValueError)71    def test_dynamic_observable_nonpattern(self):72        self.simres.observable('cSmac')73    @raises(ValueError)74    def test_match_nonexistent_pattern(self):75        m = self.model.monomers76        self.simres.observable(m.cSmac() % m.Bid())77    def test_on_demand_observable(self):78        m = self.model.monomers79        assert isinstance(self.simres.observable(m.cSmac()), pd.Series)80def test_save_load():81    tspan = np.linspace(0, 100, 101)82    # Make a copy of model so other tests etc. don't see the changed name.83    model = copy.deepcopy(tyson_oscillator.model)84    test_unicode_name = u'Hello \u2603 and \U0001f4a9!'85    model.name = test_unicode_name86    sim = ScipyOdeSimulator(model, integrator='lsoda')87    simres = sim.run(tspan=tspan, param_values={'k6': 1.0})88    sim_rob = ScipyOdeSimulator(robertson.model, integrator='lsoda')89    simres_rob = sim_rob.run(tspan=tspan)90    # Reset equations from any previous network generation91    robertson.model.reset_equations()92    A = robertson.model.monomers['A']93    # NFsim without expressions94    nfsim1 = BngSimulator(robertson.model)95    nfres1 = nfsim1.run(n_runs=2, method='nf', tspan=np.linspace(0, 1))96    # Test attribute saving (text, float, list)97    nfres1.custom_attrs['note'] = 'NFsim without expressions'98    nfres1.custom_attrs['pi'] = 3.1499    nfres1.custom_attrs['some_list'] = [1, 2, 3]100    # NFsim with expressions101    nfsim2 = BngSimulator(expression_observables.model)102    nfres2 = nfsim2.run(n_runs=1, method='nf', tspan=np.linspace(0, 100, 11))103    with tempfile.NamedTemporaryFile() as tf:104        # Cannot have two file handles on Windows105        tf.close()106        simres.save(tf.name, dataset_name='test', append=True)107        # Try to reload when file contains only one dataset and group108        SimulationResult.load(tf.name)109        simres.save(tf.name, append=True)110        # Trying to overwrite an existing dataset gives a ValueError111        assert_raises(ValueError, simres.save, tf.name, append=True)112        # Trying to write to an existing file without append gives an IOError113        assert_raises(IOError, simres.save, tf.name)114        # Trying to write a SimulationResult to the same group with a115        # different model name results in a ValueError116        assert_raises(ValueError, simres_rob.save, tf.name,117                      dataset_name='robertson', group_name=model.name,118                      append=True)119        simres_rob.save(tf.name, append=True)120        # Trying to load from a file with more than one group without121        # specifying group_name should raise a ValueError122        assert_raises(ValueError, SimulationResult.load, tf.name)123        # Trying to load from a group with more than one dataset without124        # specifying a dataset_name should raise a ValueError125        assert_raises(ValueError, SimulationResult.load, tf.name,126                      group_name=model.name)127        # Load should succeed when specifying group_name and dataset_name128        simres_load = SimulationResult.load(tf.name, group_name=model.name,129                                            dataset_name='test')130        assert simres_load._model.name == test_unicode_name131        # Saving network free results requires include_obs_exprs=True,132        # otherwise a warning should be raised133        with warnings.catch_warnings(record=True) as w:134            warnings.simplefilter("always", UserWarning)135            nfres1.save(tf.name, dataset_name='nfsim_no_obs', append=True)136            assert len(w) == 1137        nfres1.save(tf.name, include_obs_exprs=True,138                    dataset_name='nfsim test', append=True)139        # NFsim load140        nfres1_load = SimulationResult.load(tf.name,141                                            group_name=nfres1._model.name,142                                            dataset_name='nfsim test')143        # NFsim with expression144        nfres2.save(tf.name, include_obs_exprs=True, append=True)145        nfres2_load = SimulationResult.load(tf.name,146                                            group_name=nfres2._model.name)147    _check_resultsets_equal(simres, simres_load)148    _check_resultsets_equal(nfres1, nfres1_load)149    _check_resultsets_equal(nfres2, nfres2_load)150def test_save_load_observables_expressions():151    buff = io.BytesIO()152    tspan = np.linspace(0, 100, 100)153    sim = ScipyOdeSimulator(tyson_oscillator.model, tspan).run()154    sim.save(buff, include_obs_exprs=True)155    sim2 = SimulationResult.load(buff)156    assert len(sim2.observables) == len(tspan)157    # Tyson oscillator doesn't have expressions158    assert_raises(ValueError, lambda: sim2.expressions)159def _check_resultsets_equal(res1, res2):160    try:161        assert np.allclose(res1.species, res2.species)162    except ValueError:163        # Network free simulations don't have species164        pass165    assert np.allclose(res1.tout, res2.tout)166    assert np.allclose(res1.param_values, res2.param_values)167    168    if isinstance(res1.initials, np.ndarray):169        assert np.allclose(res1.initials, res2.initials)170    else:171        for k, v in res1.initials.items():172            assert np.allclose(res1.initials[k], v)173    assert np.allclose(res1._yobs_view, res2._yobs_view)174    if res1._model.expressions_dynamic():175        assert np.allclose(res1._yexpr_view, res2._yexpr_view)176    assert res1.squeeze == res2.squeeze177    assert res1.simulator_class == res2.simulator_class178    assert res1.init_kwargs == res2.init_kwargs179    assert res1.run_kwargs == res2.run_kwargs180    assert res1.n_sims_per_parameter_set == \181           res2.n_sims_per_parameter_set182    assert res1._model.name == res2._model.name183    assert res1.timestamp == res2.timestamp184    assert res1.pysb_version == res2.pysb_version...

test_fonts.py

Source:test_fonts.py

...9            with ZipFile(os.path.join(os.path.dirname(__file__),10                                      'unicode_font.zip'), 'r') as myzip:11                myzip.extractall(path=os.path.dirname(__file__))12        print(self.font_name)13    def test_unicode_name(self):14        from kivy.core.text import Label15        lbl = Label(font_name=self.font_name)16        lbl.refresh()17        self.assertNotEqual(lbl.get_extents(''), None)18    def tearDown(self):19        import os20        if os.path.exists(self.font_name):...

test_utils_script.py

Source:test_utils_script.py

1import os2import unittest3from avocado.utils import script4class TestTemporary(unittest.TestCase):5    def test_unicode_name(self):6        path = u'\u00e1 \u00e9 \u00ed \u00f3 \u00fa'7        content = "a e i o u"8        with script.TemporaryScript(path, content) as temp_script:9            self.assertTrue(os.path.exists(temp_script.path))10            with open(temp_script.path) as temp_script_file:11                self.assertEqual(content, temp_script_file.read())12if __name__ == "__main__":...

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