KaneAI - World’s First E2E Software Testing Agent.Book a Demo Join TestMu Conference

How to use test_l1 method in avocado

Best Python code snippet using avocado_python

fasttext_classify.py

Source:fasttext_classify.py

1# -*- coding: utf-8 -*-2"""3å¤çåå§æ°æ®ï¼çæè®ç»æ°æ®é4@author: bruce5"""6import os,re7import time8import fastText.FastText as ff9from read_write_tool import read_file10 11#è®ç»åç±»æ¨¡å12def fastText_classifier(train_data,test_data,model_save_path,result_save_path):13    files = []14    results = []15    if not os.path.exists(train_data):16        os.makedirs(train_data)17    if not os.path.exists(model_save_path):18        os.makedirs(model_save_path)19    if not os.path.exists(result_save_path):20        os.makedirs(result_save_path)2122    for level_one,test_l1 in zip(os.listdir(train_data),os.listdir(test_data)):23        print(level_one+'-->'+test_l1)2425        if '.txt' in level_one and '.txt' in test_l1:26            classifier=ff.train_supervised(train_data+level_one,ãlr=0.1,loss='hs',wordNgrams=2,epoch=100)27            #classifier = load_model.load_model(model_save_path+'train_level_1_classifier.model','nt')28            model = classifier.save_model(model_save_path+level_one+'_classifier.model') # ä¿åæ¨¡å29            classifier.get_labels() # è¾åºæ ç¾30            result = classifier.test(test_data+test_l1)31            files.append(level_one)32            results.append(result)33            print(result)34        else:35            data_list = os.listdir(train_data+level_one+'/')36            test_list = os.listdir(test_data+test_l1+'/')37            if not len(data_list) or not len(test_data):38                continue39            classifier=ff.train_supervised(train_data+level_one+'/'+data_list[0],lr=0.1,loss='hs',wordNgrams=2,epoch=50)40            #classifier = load_model.load_model(model_save_path+'train_level_1_classifier.model','nt')41            model = classifier.save_model(model_save_path+level_one+'_classifier.model') # ä¿åæ¨¡å42            classifier.get_labels() # è¾åºæ ç¾43            result = classifier.test(test_data+test_l1+'/'+test_list[0])44            files.append(data_list[0])45            results.append(result)46            print(result)47    print(files)48    print(results)4950    with open(result_save_path+'train_results.txt','w') as fp:51        for i,j in zip(files,results):52            fp.write(str(i)+'-->'+str(j))53            fp.write('\n')54    '''55    #linuxç³»ç»56    classifier=fasttext.supervised(train_data+'level_3_train.txt',lr=0.1,loss='hs',wordNgrams=2,epoch=100,lable_prefix='__lable__')57    model = classifier.save_model(model_save_path+'fastText_classifier.model') # ä¿åæ¨¡å58    classifier.get_labels() # è¾åºæ ç¾59    result = classifier.test(train_data+'level_3_train.txt')60    print(result) 61    # print("P@1:",result.precision)    #åç¡®ç62    # print("R@2:",result.recall)    #å¬åç63    # print("Number of examples:",result.nexamples)    #é¢æµéçä¾å64    '''65if __name__ == '__main__':66    train_path = '../datas/data_set/train/'67    test_path = '../datas/data_set/test/'68    model_save_path = '../datas/model/paper_train/'69    result_save_path = '../datas/results/paper_train/'
...

test_multipler.py

Source:test_multipler.py

1import pytest2from sandpit_package.mathers.multiplier import Multiplier3expected_op = "*"4test_l1 = 55test_r1 = 76expected_result1 = test_l1 * test_r17expected_msg1 = "%s %s %s = %s" % (test_l1, expected_op, test_r1, expected_result1)8test_l2 = "abc"9test_r2 = 510expected_result2 = test_l2 * test_r211expected_msg2 = "%s %s %s = %s" % (test_l2, expected_op, test_r2, expected_result2)12def test_init():13    with pytest.raises(Exception):14        x1 = Multiplier()15    with pytest.raises(Exception):16        x2 = Multiplier(test_l1)17    x3 = Multiplier(test_l1, test_r1)18    assert (x3.l, x3.r) == (test_l1, test_r1)19    x4 = Multiplier(test_l2, test_r2)20    assert (x4.l, x4.r) == (test_l2, test_r2)21def test_op_str():22    x = Multiplier(test_l1, test_r1)23    assert x._op_str() == expected_op24def test_result():25    x1 = Multiplier(test_l1, test_r1)26    assert x1.result() == expected_result127    x1 = Multiplier(test_r1, test_l1)28    assert x1.result() == expected_result129    x2 = Multiplier(test_l2, test_r2)30    assert x2.result() == expected_result231    x2 = Multiplier(test_r2, test_l2)32    assert x2.result() == expected_result233def test_msg():34    x1 = Multiplier(test_l1, test_r1)35    assert x1._msg() == expected_msg136    x2 = Multiplier(test_l2, test_r2)37    assert x2._msg() == expected_msg238def test_print(capsys):39    x1 = Multiplier(test_l1, test_r1)40    x1.print()...

test_adder.py

Source:test_adder.py

1import pytest2from sandpit_package.mathers.adder import Adder3expected_op = "+"4test_l1 = 55test_r1 = 76expected_result1 = test_l1 + test_r17expected_msg1 = "%s %s %s = %s" % (test_l1, expected_op, test_r1, expected_result1)8test_l2 = "abc"9test_r2 = "def"10expected_result2 = test_l2 + test_r211expected_msg2 = "%s %s %s = %s" % (test_l2, expected_op, test_r2, expected_result2)12def test_init():13    with pytest.raises(Exception):14        x1 = Adder()15    with pytest.raises(Exception):16        x2 = Adder(test_l1)17    x3 = Adder(test_l1, test_r1)18    assert (x3.l, x3.r) == (test_l1, test_r1)19    x4 = Adder(test_l2, test_r2)20    assert (x4.l, x4.r) == (test_l2, test_r2)21def test_op_str():22    x = Adder(test_l1, test_r1)23    assert x._op_str() == expected_op24def test_result():25    x1 = Adder(test_l1, test_r1)26    assert x1.result() == expected_result127    x1 = Adder(test_r1, test_l1)28    assert x1.result() == expected_result129    x2 = Adder(test_l2, test_r2)30    assert x2.result() == expected_result231    x2 = Adder(test_r2, test_l2)32    assert x2.result() != expected_result233def test_msg():34    x1 = Adder(test_l1, test_r1)35    assert x1._msg() == expected_msg136    x2 = Adder(test_l2, test_r2)37    assert x2._msg() == expected_msg238def test_print(capsys):39    x1 = Adder(test_l1, test_r1)40    x1.print()...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.