from .context import pandas_ta from unittest import TestCase from unittest.mock import patch import numpy as np import numpy.testing as npt from pandas import DataFrame class TestUtilities(TestCase): def setUp(self): self.utils = pandas_ta.utils def tearDown(self): del self.utils def test_combination(self): self.assertIsNotNone(self.utils.combination()) self.assertEqual(self.utils.combination(), 1) self.assertEqual(self.utils.combination(r=-1), 1) self.assertEqual(self.utils.combination(n=10, r=4, repetition=False), 210) self.assertEqual(self.utils.combination(n=10, r=4, repetition=True), 715) def test_fibonacci(self): self.assertIs(type(self.utils.fibonacci(zero=True, weighted=False)), np.ndarray) npt.assert_array_equal(self.utils.fibonacci(zero=True), np.array([0, 1, 1])) npt.assert_array_equal(self.utils.fibonacci(zero=False), np.array([1, 1])) npt.assert_array_equal(self.utils.fibonacci(n=0, zero=True, weighted=False), np.array([0])) npt.assert_array_equal(self.utils.fibonacci(n=0, zero=False, weighted=False), np.array([1])) npt.assert_array_equal(self.utils.fibonacci(n=5, zero=True, weighted=False), np.array([0, 1, 1, 2, 3, 5])) npt.assert_array_equal(self.utils.fibonacci(n=5, zero=False, weighted=False), np.array([1, 1, 2, 3, 5])) def test_fibonacci_weighted(self): self.assertIs(type(self.utils.fibonacci(zero=True, weighted=True)), np.ndarray) npt.assert_array_equal(self.utils.fibonacci(n=0, zero=True, weighted=True), np.array([0])) npt.assert_array_equal(self.utils.fibonacci(n=0, zero=False, weighted=True), np.array([1])) npt.assert_allclose(self.utils.fibonacci(n=5, zero=True, weighted=True), np.array([0, 1/12, 1/12, 1/6, 1/4, 5/12])) npt.assert_allclose(self.utils.fibonacci(n=5, zero=False, weighted=True), np.array([1/12, 1/12, 1/6, 1/4, 5/12])) def test_pascals_triangle(self): self.assertIsNone(self.utils.pascals_triangle(inverse=True), None) array_1 = np.array([1]) npt.assert_array_equal(self.utils.pascals_triangle(), array_1) npt.assert_array_equal(self.utils.pascals_triangle(weighted=True), array_1) npt.assert_array_equal(self.utils.pascals_triangle(weighted=True, inverse=True), np.array([0])) array_5 = self.utils.pascals_triangle(n=5) #or np.array([1, 5, 10, 10, 5, 1]) array_5w = array_5 / np.sum(array_5) array_5iw = 1 - array_5w npt.assert_array_equal(self.utils.pascals_triangle(n=-5), array_5) npt.assert_array_equal(self.utils.pascals_triangle(n=-5, weighted=True), array_5w) npt.assert_array_equal(self.utils.pascals_triangle(n=-5, weighted=True, inverse=True), array_5iw) npt.assert_array_equal(self.utils.pascals_triangle(n=5), array_5) npt.assert_array_equal(self.utils.pascals_triangle(n=5, weighted=True), array_5w) npt.assert_array_equal(self.utils.pascals_triangle(n=5, weighted=True, inverse=True), array_5iw) def test_zero(self): self.assertEqual(self.utils.zero(-0.0000000000000001), 0) self.assertEqual(self.utils.zero(0), 0) self.assertEqual(self.utils.zero(0.0), 0) self.assertEqual(self.utils.zero(0.0000000000000001), 0) self.assertNotEqual(self.utils.zero(-0.000000000000001), 0) self.assertNotEqual(self.utils.zero(0.000000000000001), 0) self.assertNotEqual(self.utils.zero(1), 0) def test_get_drift(self): for s in [0, None, '', [], {}]: self.assertIsInstance(self.utils.get_drift(s), int) self.assertEqual(self.utils.get_drift(0), 1) self.assertEqual(self.utils.get_drift(1.1), 1) self.assertEqual(self.utils.get_drift(-1.1), -1) self.assertEqual(self.utils.get_drift(1.999999999999999), 1) self.assertEqual(self.utils.get_drift(1.9999999999999999), 2) self.assertEqual(self.utils.get_drift(-10), -10) def test_get_offset(self): for s in [0, None, '', [], {}]: self.assertIsInstance(self.utils.get_offset(s), int) self.assertEqual(self.utils.get_offset(0), 0) self.assertEqual(self.utils.get_offset(1.1), 1) self.assertEqual(self.utils.get_offset(-1.1), -1) self.assertEqual(self.utils.get_offset(1.999999999999999), 1) self.assertEqual(self.utils.get_offset(1.9999999999999999), 2)