import unittest from algorithms.math.approx_cdf import cdf from algorithms.math.extended_gcd import extended_gcd from algorithms.math.lcm import lcm from algorithms.math.primality_test import is_prime from algorithms.math.sieve_atkin import atkin from algorithms.math.sieve_eratosthenes import eratosthenes from algorithms.math.std_normal_pdf import pdf class TestApproxCdf(unittest.TestCase): def test_cdf(self): # Calculate cumulative distribution function for x=1 a = cdf(1) self.assertAlmostEqual(a, 0.841344746068543) # Calculate cumulative distribution function x=0 a = cdf(0) self.assertAlmostEqual(a, 0.5) # Calculate cumulative distribution function for x=(-1) a = cdf(-1) self.assertAlmostEqual(a, 0.15865525393145702) class TestExtendedGCD(unittest.TestCase): def test_extended_gcd(self): # Find extended_gcd of 35 and 77 (a, b) = extended_gcd(35, 77) print(a, b) self.assertIs(35 * a + 77 * b, 7) # Find extended_gcd of 15 and 19 (a, b) = extended_gcd(15, 19) self.assertIs(15 * a + 19 * b, 1) # Find extended_gcd of 18 and 9 (a, b) = extended_gcd(18, 9) self.assertIs(18 * a + 9 * b, 9) # Find extended_gcd of 99 and 81 (a, b) = extended_gcd(99, 81) self.assertIs(99 * a + 81 * b, 9) # Find extended_gcd of 50 and 15 (a, b) = extended_gcd(50, 15) self.assertIs(50 * a + 15 * b, 5) class TestLCM(unittest.TestCase): def test_lcm(self): # Find lcm of (16, 20) and (20, 16) r, r2 = lcm(16, 20), lcm(20, 16) self.assertEqual(r, 80) # Checks that lcm function is commutative self.assertEqual(r, r2) class TestPrimalityTest(unittest.TestCase): def test_is_prime(self): self.assertIs(is_prime(3), True) self.assertIs(is_prime(15), False) self.assertIs(is_prime(20), False) self.assertIs(is_prime(37), True) self.assertIs(is_prime(63), False) self.assertIs(is_prime(87), False) self.assertIs(is_prime(103), True) class TestSieveOfAtkin(unittest.TestCase): def test_atkin(self): rv1 = atkin(10) rv2 = atkin(100) rv3 = atkin(1000) rv4 = atkin(-10) self.assertEqual(rv1, [2, 3, 5, 7]) self.assertEqual( rv2, [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, 97] ) self.assertEqual( rv3, [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, 97, 101, 103, 107, 109, 113, 127, 131, 137, 139, 149, 151, 157, 163, 167, 173, 179, 181, 191, 193, 197, 199, 211, 223, 227, 229, 233, 239, 241, 251, 257, 263, 269, 271, 277, 281, 283, 293, 307, 311, 313, 317, 331, 337, 347, 349, 353, 359, 367, 373, 379, 383, 389, 397, 401, 409, 419, 421, 431, 433, 439, 443, 449, 457, 461, 463, 467, 479, 487, 491, 499, 503, 509, 521, 523, 541, 547, 557, 563, 569, 571, 577, 587, 593, 599, 601, 607, 613, 617, 619, 631, 641, 643, 647, 653, 659, 661, 673, 677, 683, 691, 701, 709, 719, 727, 733, 739, 743, 751, 757, 761, 769, 773, 787, 797, 809, 811, 821, 823, 827, 829, 839, 853, 857, 859, 863, 877, 881, 883, 887, 907, 911, 919, 929, 937, 941, 947, 953, 967, 971, 977, 983, 991, 997] ) self.assertEqual(rv4, []) class TestSieveOfEratosthenes(unittest.TestCase): def test_eratosthenes(self): rv1 = eratosthenes(-10) rv2 = eratosthenes(10) rv3 = eratosthenes(100, 5) rv4 = eratosthenes(100, -10) self.assertEqual(rv1, []) self.assertEqual(rv2, [2, 3, 5, 7]) self.assertEqual( rv3, [5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, 97] ) self.assertEqual( rv4, [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, 97] ) class TestStdNormPDF(unittest.TestCase): def test_pdf(self): # Calculate standard normal pdf for x=1 a = pdf(1) self.assertAlmostEqual(a, 0.24197072451914337) # Calculate standard normal pdf for x=(-1) a = pdf(-1) self.assertAlmostEqual(a, 0.24197072451914337) # Calculate standard normal pdf for x=13, mean=10, std_dev=1 a = pdf(x=13, mean=10, std_dev=1) self.assertAlmostEqual(a, 0.004431848411938008)