How to use test_is_balanced method in hypothesis

Best Python code snippet using hypothesis

balancedParentheses.py

Source:balancedParentheses.py

...30    #     print(str(startPos) + ":" + str(endPos))31    # if(endPos < startPos):32    #     return False33    # return True34def test_is_balanced():35    l = ['()', 'x()', '((y(z', 'a(b())', ')()(', '()()', '(((', ')', 'hi', 'h', '(']36    for s in l:37        if is_balanced(s):38            print("{} is balanced!".format(s))39        else:40            print("{} isn't balanced :(".format(s))41if __name__ == '__main__':...

test.py

Source:test.py

...3import random4class TestAvl(unittest.TestCase):5    def setUp(self):6        self.avl = AVLTree()7    def test_is_balanced(self):8        self.assertTrue(self.avl.is_balanced())9    def test_insert(self):10        for x in range(20):11            self.avl.insert(x)12        self.test_is_balanced()13    def test_get_height(self):14        self.avl = AVLTree()15        for x in range(20):16            self.avl.insert(x)17        self.assertEqual(self.avl.get_height(self.avl.root), 5)18    def test_insert_random(self):19        self.avl = AVLTree()20        for x in range(30):21            self.avl.insert(random.randrange(100))22        self.avl.insert(8)23        self.test_is_balanced()24    def test_delete(self):25        self.avl.delete(8)26        self.test_is_balanced()27    def test_get_size(self):28        self.avl = AVLTree()29        for x in range(20):30            self.avl.insert(x)31        self.assertEqual(self.avl.get_size(), 20)32if __name__ == '__main__':...

is_number_balanced_test.py

Source:is_number_balanced_test.py

1#!/usr/bin/env python32import unittest3from is_number_balanced import is_number_balanced4class Test_is_balanced(unittest.TestCase):5    def test_is_balanced(self):6        self.assertTrue(is_number_balanced(5234))7        self.assertFalse(is_number_balanced(10546))8if __name__ == "__main__":...

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