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How to use test_9 method in Lemoncheesecake

Best Python code snippet using lemoncheesecake

test_left_join.py

Source:test_left_join.py

1import pytest2from .left_join import join3class TestLeftJoin:4    def test_proof_of_life(self):5        assert join6    @pytest.fixture7    def ht_1(self):8        ht_1 = {9            'test_1': 'synonym test_1',10            'test_2': 'synonym test_2',11            'test_3': 'synonym test_3',12            'test_4': 'synonym test_4',13            'test_5': 'synonym test_5',14            'test_6': 'synonym test_6',15        }16        return ht_117    @pytest.fixture18    def ht_2(self):19        ht_2 = {20            'test_2': 'antonym test_2',21            'test_3': 'antonym test_3',22            'test_6': 'antonym test_6',23            'test_7': 'antonym test_7',24            'test_8': 'antonym test_8',25            'test_9': 'antonym test_9',26        }27        return ht_228    def test_left_join_pass(self, ht_1, ht_2):29        expected = {30            'test_1': ('synonym test_1', None),31            'test_2': ('synonym test_2', 'antonym test_2'),32            'test_3': ('synonym test_3', 'antonym test_3'),33            'test_4': ('synonym test_4', None),34            'test_5': ('synonym test_5', None),35            'test_6': ('synonym test_6', 'antonym test_6'),36        }37        assert join(ht_1, ht_2) == expected38    def test_left_join_no_matches(self, ht_1):39        ht_2 = {40            'test_7': 'antonym test_7',41            'test_8': 'antonym test_8',42            'test_9': 'antonym test_9',43        }44        expected = {45            'test_1': ('synonym test_1', None),46            'test_2': ('synonym test_2', None),47            'test_3': ('synonym test_3', None),48            'test_4': ('synonym test_4', None),49            'test_5': ('synonym test_5', None),50            'test_6': ('synonym test_6', None),51        }52        assert join(ht_1, ht_2) == expected53    def test_left_join_empty_ht(self):54        ht_1 = ht_2 = {}55        assert join(ht_1, ht_2) == {}56    def test_right_join(self, ht_1, ht_2):57        expected = {58            'test_2': ('antonym test_2', 'synonym test_2'),59            'test_3': ('antonym test_3', 'synonym test_3'),60            'test_6': ('antonym test_6', 'synonym test_6'),61            'test_7': ('antonym test_7', None),62            'test_8': ('antonym test_8', None),63            'test_9': ('antonym test_9', None),64        }...

training_analysis.py

Source:training_analysis.py

1import json2import matplotlib.pyplot as plt3# Load all the history files4test_1 = json.load(open('Test_1/steer_history_full.json', 'r'))5test_2 = json.load(open('Test_2/steer_history_full.json', 'r'))6test_3 = json.load(open('Test_3/steer_history_full.json', 'r'))7test_4 = json.load(open('Test_4/steer_history_full.json', 'r'))8test_5 = json.load(open('Test_5/steer_history_full.json', 'r'))9test_6 = json.load(open('Test_6/steer_history_full.json', 'r'))10test_7 = json.load(open('Test_7/steer_history_full.json', 'r'))11test_8 = json.load(open('Test_8/steer_history_full.json', 'r'))12test_9 = json.load(open('Test_9/steer_history_full.json', 'r'))13test_10 = json.load(open('Test_10/steer_history_full.json', 'r'))14# Difference between batch sizes15plt.title('Model Loss Evolution')16plt.ylabel('Loss')17plt.xlabel('Iteration')18plt.plot(test_1['loss'][0:21])19plt.plot(test_2['loss'][0:21])20plt.legend(['Test 1 (batch size = 10)', 'Test 2 (batch size = 1000)'], loc='upper right')21plt.show()22# Performance of Network 123plt.title('Network 1 Loss Evolution')24plt.ylabel('Loss')25plt.xlabel('Iteration')26plt.plot(test_1['loss'])27plt.plot(test_2['loss'])28plt.plot(test_3['loss'])29plt.plot(test_4['loss'])30plt.legend(['Test 1', 'Test 2', 'Test 3', 'Test 4'], loc='upper right')31plt.show()32# Performance over the different networks33plt.title('Loss Evolution of all networks')34plt.ylabel('Loss')35plt.xlabel('Iteration')36plt.plot(test_1['loss'])37plt.plot(test_5['loss'])38plt.plot(test_6['loss'])39plt.plot(test_7['loss'])40plt.plot(test_8['loss'])41plt.plot(test_9['loss'])42plt.plot(test_10['loss'])43plt.legend(['Test 1 (Network 1)', 'Test 5 (Network 2)', 'Test 6 (Network 3)', 'Test 7 (Network 4)', 'Test 8 (Network 5)', 'Test 9 (Network 6)', 'Test 10 (Network 7)'], loc='upper right')44plt.show()45# Performance of Test 446plt.title('Test 4 Loss Evolution')47plt.ylabel('Loss')48plt.xlabel('Iteration')49plt.plot(range(0, 100), test_4['loss'])50plt.xticks(range(0,110,10))51plt.legend(['Test 4 (Network 1 with neutral frame drop implemented)'], loc='upper right')...

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