How to use set_target method in yandex-tank

Best Python code snippet using yandex-tank

test_cardrules.py

Source:test_cardrules.py

...5    def setUp(self):6        deck = Deck()7        self.card_rules = CardRules(deck)8    def test_reject_straight(self):9        self.card_rules.set_target('J')10        hand = ['7s','9c','10c','8s','Jd']11        self.assertFalse(self.card_rules.check_success(hand))12    def test_reject_flush(self):13        self.card_rules.set_target('9')14        hand = ['7c','9c','6c','5c','2c']15        self.assertFalse(self.card_rules.check_success(hand))16    def test_reject_pairs(self):17        self.card_rules.set_target('8')18        hand = ['7c','8c','7s','5c','2c']19        self.assertFalse(self.card_rules.check_success(hand))20    def test_reject_trips(self):21        self.card_rules.set_target('8')22        hand = ['7c','7d','7s','5c','2c']23        self.assertFalse(self.card_rules.check_success(hand))24    def test_reject_quads(self):25        self.card_rules.set_target('8')26        hand = ['5h','5d','5s','5c','2c']27        self.assertFalse(self.card_rules.check_success(hand))28    def test_reject_full_house(self):29        self.card_rules.set_target('8')30        hand = ['5h','5d','5s','2c','2h']31        self.assertFalse(self.card_rules.check_success(hand))32    def test_reject_high_cards(self):33        # one high card34        self.card_rules.set_target('10')35        hand = ['7c','9c','Js','5c','2c']36        self.assertFalse(self.card_rules.check_success(hand))37        # two high cards38        self.card_rules.set_target('8')39        hand = ['7c','9c','Js','5h','Kc']40        self.assertFalse(self.card_rules.check_success(hand))41    def test_accept_valid_hand(self):42        # valid with highest card == target43        self.card_rules.set_target('10')44        hand = ['7c','9c','10s','5h','8c']45        self.assertTrue(self.card_rules.check_success(hand))46        # valid with highest card < target47        self.card_rules.set_target('10')48        hand = ['7c','9c','2s','5h','8c']49        self.assertTrue(self.card_rules.check_success(hand))50class CardRulesCardsRemovalTests(unittest.TestCase):51    def setUp(self):52        deck = Deck()53        self.card_rules = CardRules(deck)54    def test_remove_high_cards(self):55        self.card_rules.set_target('10')56        hand = ['7c','9c','Js','Kh','8c']57        retained_cards = self.card_rules.apply_rules(hand)58        expected_cards = ['7c','9c','8c']59        self.assertTrue(set(retained_cards)==set(expected_cards))60    def test_remove_pair_of_dominant_suit(self):61        # given a pair, the card from the dominant suit should be removed62        self.card_rules.set_target('J')63        hand = ['7c','9c','9s','6h','8c']64        retained_cards = self.card_rules.apply_rules(hand)65        expected_cards = ['7c','9s','6h','8c']66        self.assertTrue(set(retained_cards)==set(expected_cards))67    def test_remove_pair_of_dominant_suit2(self):68        # when there are no dominant suit (or equality of suits) the second pair card69        # gets removed70        self.card_rules.set_target('J')71        hand = ['7c','9c','9s','6s','8h']72        retained_cards = self.card_rules.apply_rules(hand)73        expected_cards = ['7c','9c','6s','8h']74        self.assertTrue(set(retained_cards)==set(expected_cards))75    def test_remove_second_high_card_given_a_straight(self):76        self.card_rules.set_target('J')77        hand = ['8c','7c','5s','6s','4h']78        retained_cards = self.card_rules.apply_rules(hand)79        expected_cards = ['8c','5s','6s','4h']80        self.assertTrue(set(retained_cards)==set(expected_cards))81    def test_remove_second_high_card_given_a_flush(self):82        self.card_rules.set_target('J')83        hand = ['10c','8c','5c','6c','4c']84        retained_cards = self.card_rules.apply_rules(hand)85        expected_cards = ['10c','5c','6c','4c']...

fit_data.py

Source:fit_data.py

1from sklearn import linear_model2import arisu_data3class FitData(arisu_data.ArisuData):4    def fit(self):5        set_feature, set_target = self.__get_features_target()6        regs = []7        for idx in range(5):8            regs.append(linear_model.LinearRegression())9            regs[idx].fit(set_feature[idx], set_target[idx])10        for aq in self.arisuqs:11            if not aq.is_loss:12                continue13            idx, features = aq.get_lossy_features()14            est = regs[idx - 1].predict([features])15            aq.set_feature(idx, est[0])16    def __get_features_target(self):17        set_feature = [[], [], [], [], []]18        set_target = [[], [], [], [], []]19        for aq in self.arisuqs:20            if aq.is_loss:21                continue22            features = aq.get_features()23            set_feature[0].append(features[1:])24            set_target[0].append(features[0])25            set_feature[1].append(features[0:1] + features[2:])26            set_target[1].append(features[1])27            set_feature[2].append(features[0:2] + features[3:])28            set_target[2].append(features[2])29            set_feature[3].append(features[0:3] + features[4:])30            set_target[3].append(features[3])31            set_feature[4].append(features[0:4])32            set_target[4].append(features[4])...

hlc_test.py

Source:hlc_test.py

...12t1 = Target((1,0),0)13t2 = Target((0,-0.5),0)14delay = 11516hlc.set_target(t1)17sleep(delay)18hlc.set_target(t2)19sleep(delay)20hlc.set_target(t1)21sleep(delay)22hlc.set_target(t2)23sleep(delay)24hlc.set_target(t1)25sleep(delay)26hlc.set_target(t2)27sleep(delay)28hlc.set_target(t1)29sleep(delay)3031for i in range(0,1000):32    sleep(0.05)33    hlc.set_target(t1)34    sleep(0.05)35    hlc.set_target(t2)36
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