mirror of
https://github.com/wassname/pandas-ta.git
synced 2026-07-15 01:10:57 +08:00
126 lines
5.9 KiB
Python
126 lines
5.9 KiB
Python
from .context import pandas_ta
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from unittest import TestCase
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from unittest.mock import patch
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import numpy as np
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import numpy.testing as npt
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from pandas import DataFrame, Series
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class TestUtilities(TestCase):
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def setUp(self):
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self.crosseddf = DataFrame({'a': [0, 1], 'b': [1, 0], 'crossed': [0, 1]})
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self.utils = pandas_ta.utils
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def tearDown(self):
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del self.utils
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del self.crosseddf
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def test_combination(self):
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self.assertIsNotNone(self.utils.combination())
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self.assertEqual(self.utils.combination(), 1)
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self.assertEqual(self.utils.combination(r=-1), 1)
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self.assertEqual(self.utils.combination(n=10, r=4, repetition=False), 210)
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self.assertEqual(self.utils.combination(n=10, r=4, repetition=True), 715)
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def test_cross_above(self):
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result = self.utils.cross(self.crosseddf['a'], self.crosseddf['b'])
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self.assertIsInstance(result, Series)
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npt.assert_array_equal(result, self.crosseddf['crossed'])
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result = self.utils.cross(self.crosseddf['a'], self.crosseddf['b'], above=True)
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self.assertIsInstance(result, Series)
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npt.assert_array_equal(result, self.crosseddf['crossed'])
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def test_cross_below(self):
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result = self.utils.cross(self.crosseddf['b'], self.crosseddf['a'], above=False)
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self.assertIsInstance(result, Series)
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npt.assert_array_equal(result, self.crosseddf['crossed'])
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def test_fibonacci(self):
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self.assertIs(type(self.utils.fibonacci(zero=True, weighted=False)), np.ndarray)
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npt.assert_array_equal(self.utils.fibonacci(zero=True), np.array([0, 1, 1]))
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npt.assert_array_equal(self.utils.fibonacci(zero=False), np.array([1, 1]))
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npt.assert_array_equal(self.utils.fibonacci(n=0, zero=True, weighted=False), np.array([0]))
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npt.assert_array_equal(self.utils.fibonacci(n=0, zero=False, weighted=False), np.array([1]))
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npt.assert_array_equal(self.utils.fibonacci(n=5, zero=True, weighted=False), np.array([0, 1, 1, 2, 3, 5]))
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npt.assert_array_equal(self.utils.fibonacci(n=5, zero=False, weighted=False), np.array([1, 1, 2, 3, 5]))
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def test_fibonacci_weighted(self):
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self.assertIs(type(self.utils.fibonacci(zero=True, weighted=True)), np.ndarray)
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npt.assert_array_equal(self.utils.fibonacci(n=0, zero=True, weighted=True), np.array([0]))
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npt.assert_array_equal(self.utils.fibonacci(n=0, zero=False, weighted=True), np.array([1]))
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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]))
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npt.assert_allclose(self.utils.fibonacci(n=5, zero=False, weighted=True), np.array([1/12, 1/12, 1/6, 1/4, 5/12]))
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def test_pascals_triangle(self):
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self.assertIsNone(self.utils.pascals_triangle(inverse=True), None)
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array_1 = np.array([1])
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npt.assert_array_equal(self.utils.pascals_triangle(), array_1)
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npt.assert_array_equal(self.utils.pascals_triangle(weighted=True), array_1)
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npt.assert_array_equal(self.utils.pascals_triangle(weighted=True, inverse=True), np.array([0]))
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array_5 = self.utils.pascals_triangle(n=5) #or np.array([1, 5, 10, 10, 5, 1])
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array_5w = array_5 / np.sum(array_5)
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array_5iw = 1 - array_5w
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npt.assert_array_equal(self.utils.pascals_triangle(n=-5), array_5)
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npt.assert_array_equal(self.utils.pascals_triangle(n=-5, weighted=True), array_5w)
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npt.assert_array_equal(self.utils.pascals_triangle(n=-5, weighted=True, inverse=True), array_5iw)
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npt.assert_array_equal(self.utils.pascals_triangle(n=5), array_5)
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npt.assert_array_equal(self.utils.pascals_triangle(n=5, weighted=True), array_5w)
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npt.assert_array_equal(self.utils.pascals_triangle(n=5, weighted=True, inverse=True), array_5iw)
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def test_symmetric_triangle(self):
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npt.assert_array_equal(self.utils.symmetric_triangle(), np.array([1, 1]))
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npt.assert_array_equal(self.utils.symmetric_triangle(weighted=True), np.array([0.5, 0.5]))
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array_4 = self.utils.symmetric_triangle(n=4) #or np.array([1, 2, 2, 1])
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array_4w = array_4 / np.sum(array_4)
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npt.assert_array_equal(self.utils.symmetric_triangle(n=4), array_4)
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npt.assert_array_equal(self.utils.symmetric_triangle(n=4, weighted=True), array_4w)
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array_5 = self.utils.symmetric_triangle(n=5) #or np.array([1, 2, 3, 2, 1])
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array_5w = array_5 / np.sum(array_5)
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npt.assert_array_equal(self.utils.symmetric_triangle(n=5), array_5)
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npt.assert_array_equal(self.utils.symmetric_triangle(n=5, weighted=True), array_5w)
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def test_zero(self):
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self.assertEqual(self.utils.zero(-0.0000000000000001), 0)
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self.assertEqual(self.utils.zero(0), 0)
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self.assertEqual(self.utils.zero(0.0), 0)
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self.assertEqual(self.utils.zero(0.0000000000000001), 0)
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self.assertNotEqual(self.utils.zero(-0.000000000000001), 0)
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self.assertNotEqual(self.utils.zero(0.000000000000001), 0)
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self.assertNotEqual(self.utils.zero(1), 0)
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def test_get_drift(self):
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for s in [0, None, '', [], {}]:
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self.assertIsInstance(self.utils.get_drift(s), int)
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self.assertEqual(self.utils.get_drift(0), 1)
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self.assertEqual(self.utils.get_drift(1.1), 1)
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self.assertEqual(self.utils.get_drift(-1.1), -1)
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self.assertEqual(self.utils.get_drift(1.999999999999999), 1)
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self.assertEqual(self.utils.get_drift(1.9999999999999999), 2)
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self.assertEqual(self.utils.get_drift(-10), -10)
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def test_get_offset(self):
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for s in [0, None, '', [], {}]:
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self.assertIsInstance(self.utils.get_offset(s), int)
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self.assertEqual(self.utils.get_offset(0), 0)
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self.assertEqual(self.utils.get_offset(1.1), 1)
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self.assertEqual(self.utils.get_offset(-1.1), -1)
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self.assertEqual(self.utils.get_offset(1.999999999999999), 1)
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self.assertEqual(self.utils.get_offset(1.9999999999999999), 2) |