How to use test_1_1 method in Lemoncheesecake

Best Python code snippet using lemoncheesecake

tests.py

Source:tests.py

1from django.test import TestCase2from django.test.client import RequestFactory3from api import Api4from example import resources1, resources2, resources35from example import testdata16from validation import FieldsValidation7from test.client import Client8from models import Test as TestModel9from django.core.urlresolvers import reverse10from tastytools.test.resources import ResourceTestData11class ApiTestCase(TestCase):12    urls = 'tastytools.test_urls'13    14    def setUp(self):15        self.api = Api()16        17    def _assert_in_registry(self, resource_names):18        for resource_name in resource_names:19            try:20                assert resource_name in self.api._registry 21            except:22                print resource_name23                raise24    def test_resource_importing(self):25        """The Api class is able to import a single resource"""26        self.api.register(resources1.Test_1_1_Resource())27        self._assert_in_registry(["test_1_1"])28    def test_resource_list_importing(self):29        """The Api class is able to import a list of resources"""30        resources = [31                resources1.Test_1_2_Resource, 32                resources1.Test_1_3_Resource() 33            ]34        self.api.register(resources=resources)35        self._assert_in_registry(["test_1_2", "test_1_3"])36        37    def test_module_list_importing(self):38        """The Api class is able to import all resources from listed modules"""39        modules = [resources2, resources3]40        self.api.register(modules=modules)41        self._assert_in_registry(["test_2_1", "test_2_2", "test_2_3"])42        self._assert_in_registry(["test_3_1", "test_3_2", "test_3_3"])43        44    def test_testdata(self):45        """The API is able to register a testdata class"""46        self.api.register(resources1.Test_1_1_Resource())47        self.api.register_testdata(testdata1.Test_1_1_TestData)48        td = self.api.resource("test_1_1")._meta.testdata49        msg = "%s is not subclass of ResourceTestData" % td.__class__50        self.assertTrue(issubclass(td.__class__, ResourceTestData), msg)51        res = self.api.resource("test_1_1").create_test_resource()52    def test_testdata_list(self):53        """The API is able to register a list of testdata classes"""54        resources=[resources1.Test_1_1_Resource(), resources1.Test_1_2_Resource()]55        self.api.register(resources=resources)56        testdata_list=[testdata1.Test_1_1_TestData,testdata1.Test_1_2_TestData]57        self.api.register_testdata(list=testdata_list)58        59        for r in ["test_1_1", "test_1_2"]:60            td = self.api.resource(r)._meta.testdata61            msg = "%s is not subclass of ResourceTestData" % td.__class__62            self.assertTrue(issubclass(td.__class__, ResourceTestData), msg)63            res = self.api.resource(r).create_test_resource()64    def test_testdata_modules(self):65        """The API is able to register a testdata classes from a module"""66        self.api.register(modules=[resources1])67        self.api.register_testdata(modules=[testdata1])68        for r in ["test_1_1", "test_1_2"]:69            td = self.api.resource(r)._meta.testdata70            msg = "%s is not subclass of ResourceTestData" % td.__class__71            self.assertTrue(issubclass(td.__class__, ResourceTestData), msg)72            res = self.api.resource(r).create_test_resource()73class ClientTest(TestCase):74    urls = 'tastytools.test_urls'75    76    def test_urls_are_working(self):77        self.assertEqual("/test", reverse("test_url"))78    79    def test_path_or_resource(self):80        c = Client()81        obj = TestModel()82        obj.test = 'TESTING'83        obj.save()84        85        resource = resources1.Test_1_1_Resource()86        87        list_path = resource.get_resource_list_uri()88        object_path = resource.get_resource_uri(obj)89        90        result = c._path_or_resource(list_path)91        expected = list_path92        self.assertEqual(result, expected, 93            "Bare path.\nResult:%s\nExpected:%s" % (result, expected))94            95        result = c._path_or_resource(list_path, obj)96        expected = list_path97        self.assertEqual(result, expected, 98            "Bare path w/obj.\nResult:%s\nExpected:%s" % (result, expected))99            100        result = c._path_or_resource(resource)101        expected = list_path102        self.assertEqual(result, expected, 103            "Empty resource.\nResult:%s\nExpected:%s" % (result, expected))104            105        result = c._path_or_resource(resource, obj)106        expected = object_path107        self.assertEqual(result, expected, 108            "Populated resource.\nResult:%s\nExpected:%s" % (result, expected))            109            110            111class FieldsValidationTest(TestCase):112    def test_parse_methods_key(self):113        validation = FieldsValidation()114        key = "required_post"115        #value = ['field1', 'field2']116        methods = validation.parse_methods_key(key, 'required')117        self.assertEqual(['POST'], methods)118    def test_map_method_validation(self):119        validation = FieldsValidation()120        fields = ['field1', 'field2']121        methods = ["POST", "PUT", "GET", "DELETE"]122        target = {}123        validation.map_method_validations(target, fields, methods)124        expected = {125                'POST': ['field1', 'field2'],126                'GET': ['field1', 'field2'],127                'PUT': ['field1', 'field2'],128                'DELETE': ['field1', 'field2'],129                }130        self.assertEqual(expected, target)131        validation.map_method_validations(target, ['field3'], ['PUT', 'POST'])132        expected = {133                'POST': ['field1', 'field2', 'field3'],134                'GET': ['field1', 'field2'],135                'PUT': ['field1', 'field2', 'field3'],136                'DELETE': ['field1', 'field2'],137                }138        self.assertEqual(expected, target)139    def test_fieldsvalid_constructor(self):140        validation = FieldsValidation(required=['f1', 'f2'],141                                      validated=['f1', 'f3'],142                                      required_post_get=['f4'],143                                      validated_put=['f5'])144        expected_required = {145                'POST': ['f1', 'f2', 'f4'],146                'GET': ['f1', 'f2', 'f4'],147                'PUT': ['f1', 'f2'],148                'DELETE': ['f1', 'f2'],149                'PATCH': ['f1', 'f2'],150                }151        expected_validated = {152                'POST': ['f1', 'f3'],153                'GET': ['f1', 'f3'],154                'PUT': ['f1', 'f3', 'f5'],155                'DELETE': ['f1', 'f3'],156                'PATCH': ['f1', 'f3'],157                }158        self.assertEqual(expected_validated, validation.validated_fields)...

predict_7.py

Source:predict_7.py

1# -*-coding:utf-8 -*-2import pandas as pd3import numpy as np4from sklearn.ensemble import RandomForestClassifier5from sklearn.ensemble import GradientBoostingClassifier  # GBM algorithm6from sklearn import cross_validation, metrics  # Additional scklearn functions7from sklearn.grid_search import GridSearchCV  # Perforing grid search8import matplotlib.pylab as plt9from sklearn.metrics import f1_score10#æ¢å¤0.026æåçä»£ç   çº¿ä¸è¯åååä½ãã11def predict_7(train, test, silent=1):12    len_of_test = len(test)13    train = train.fillna(-1)14    test = test.fillna(-1)15    target = 'subsidy'16    IDcol = 'studentid'17    predictors = [x for x in train.columns if x not in [target]]18    train_1 = train.copy()19    train_1['money'] = train_1['money'].map({0: 0, 1000: 1, 1500: 1, 2000: 1})20    train_1 = train_1[train_1['studentid'] < 22073]21    test_1_1 = test[test['studentid'] < 22073]22    # model23    clf = GradientBoostingClassifier(learning_rate=0.1,n_estimators=60, max_depth=3,min_samples_leaf=6,min_samples_split=150,subsample=1,random_state=30)24    clf.fit(train_1[predictors], train_1[target])25    result1 = clf.predict_proba(test_1_1[predictors])26    result1 = pd.DataFrame({'studentid':test_1_1['studentid'].values,'proba_of_1':result1[:,1]}).sort_values(by=['proba_of_1'],ascending=False)27    select_id = [id in result1.head(int(len_of_test*0.28))['studentid'].values for id in test['studentid'].values]28    clf2 = GradientBoostingClassifier(learning_rate=0.1,n_estimators=60, max_depth=3,min_samples_leaf=6,min_samples_split=150,subsample=1,random_state=30)29    clf2.fit(train[train['money'] != 0][predictors], train[train['money'] != 0][target])30    result2 = clf2.predict(test[select_id][predictors])31    result2 = pd.DataFrame({'studentid': test[select_id]['studentid'].values, 'subsidy': result2})32    remain_id = [id not in result1.head(int(len_of_test*0.28))['studentid'].values for id in test['studentid'].values]33    result3 = pd.DataFrame({'studentid':test[remain_id]['studentid'],'subsidy':0})34    result = result2.append(result3).sort_values('studentid')35    if silent==0: print result.groupby(result['subsidy']).size()...

test_1.py

Source:test_1.py

1import pytest2def test_1_1():3 assert False4@pytest.mark.dependency(depends=['test_1_1'])5def test_1_2():...

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