Best Python code snippet using localstack_python
test_model.py
Source: test_model.py
...5evap = read_csv("tests/data/evap.csv", index_col=0,6 parse_dates=True).squeeze("columns")7obs = read_csv("tests/data/obs.csv", index_col=0,8 parse_dates=True).squeeze("columns")9def test_create_model():10 ml = ps.Model(obs, name="Test_Model")11 return ml12def test_add_stressmodel():13 ml = test_create_model()14 sm = ps.RechargeModel(prec=rain, evap=evap, rfunc=ps.Gamma, name='rch')15 ml.add_stressmodel(sm)16 return ml17def test_add_stressmodels():18 ml = test_create_model()19 sm1 = ps.StressModel(rain, rfunc=ps.Exponential, name='prec')20 sm2 = ps.StressModel(evap, rfunc=ps.Exponential, name='evap')21 ml.add_stressmodel([sm1, sm2])22 return ml23def test_del_stressmodel():24 ml = test_add_stressmodel()25 ml.del_stressmodel("recharge")26 return27def test_add_constant():28 ml = test_create_model()29 ml.add_constant(ps.Constant())30 return31def test_del_constant():32 ml = test_create_model()33 ml.del_constant()34 return35def test_add_noisemodel():36 ml = test_create_model()37 ml.add_noisemodel(ps.NoiseModel())38 return39def test_armamodel():40 ml = test_create_model()41 ml.add_noisemodel(ps.ArmaModel())42 ml.solve()43 return44def test_del_noisemodel():45 ml = test_create_model()46 ml.del_noisemodel()47 return48def test_solve_model():49 ml = test_add_stressmodel()50 ml.solve()51 return ml52def test_solve_empty_model():53 ml = test_add_stressmodel()54 try:55 ml.solve(tmin="2016")56 except ValueError as e:57 if e.args[0].startswith("Calibration series "):58 return59 else:60 raise e61def test_save_model():62 ml = test_create_model()63 ml.to_file("test.pas")64 return65def test_load_model():66 ml = test_solve_model()67 # add some fictitious tiny value for testing float precision68 ml.parameters.loc["rch_f", "pmax"] = 1.23456789e-1069 ml.to_file("test.pas")70 ml2 = ps.io.load("test.pas")71 # dataframe dtypes don't match... make the same here72 # this is caused because the parameters df is loaded empty without73 # information on the datatype in each column74 for icol in ["initial", "optimal", "pmin", "pmax", "stderr"]:75 ml.parameters[icol] = ml.parameters[icol].astype(float)76 ml.parameters["vary"] = ml.parameters["vary"].astype(bool)77 78 # check if parameters and pcov dataframes are equal79 assert ml.parameters.equals(ml2.parameters)80 assert ml.fit.pcov.equals(ml2.fit.pcov)81 return82def test_model_copy():83 ml = test_create_model()84 ml.copy()85 return86def test_get_block():87 ml = test_add_stressmodel()88 ml.get_block_response("recharge")89 return90def test_get_step():91 ml = test_add_stressmodel()92 ml.get_step_response("recharge")93 return94def test_get_contribution():95 ml = test_add_stressmodel()96 ml.get_contribution("recharge")97 return...
test_models.py
Source: test_models.py
...6except ImportError:7 from django.utils.encoding import smart_text as smart_unicode8from pagseguro.models import Checkout, Transaction, TransactionHistory9class CheckoutTest(TestCase):10 def test_create_model(self):11 checkout = Checkout.objects.create(12 code='007',13 date=timezone.now(),14 success=True15 )16 self.assertEqual(17 smart_unicode(checkout), '{0}'.format(checkout.pk)18 )19class TransactionTest(TestCase):20 def test_create_model(self):21 transaction = Transaction.objects.create(22 code='007',23 reference='nothing',24 status='aguardando',25 date=timezone.now(),26 last_event_date=timezone.now()27 )28 self.assertEqual(29 smart_unicode(transaction), transaction.code30 )31class TransactionHistoryTest(TestCase):32 def test_create_model(self):33 transaction = Transaction.objects.create(34 code='007',35 reference='nothing',36 status='aguardando',37 date=timezone.now(),38 last_event_date=timezone.now()39 )40 tx_history = TransactionHistory.objects.create(41 transaction=transaction,42 date=timezone.now(),43 status='aguardando'44 )45 self.assertEqual(46 smart_unicode(tx_history),...
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