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# -*- coding: utf-8 -*-
"""
Created on Tue Nov 3 15:07:16 2017
@author: Suhas Somnath, Rama Vasudevan
"""
from __future__ import division, print_function, unicode_literals, absolute_import
import unittest
import sys
import numpy as np
sys.path.append("../../sidpy/")
from sidpy.base.num_utils import *
if sys.version_info.major == 3:
unicode = str
xrange = range
class TestGetSlope(unittest.TestCase):
def test_linear(self):
expected = 0.25
actual = get_slope(np.arange(-1, 1, expected))
self.assertEqual(expected, actual)
def test_linear_dirty(self):
# When reading from HDF5, rounding errors can result in minor variations in the diff
expected = 0.25E-9
vector = np.arange(-1E-9, 1E-9, expected)
round_error = np.random.rand(vector.size) * 1E-14
vector += round_error
actual = get_slope(vector, tol=1E-3)
self.assertAlmostEqual(expected, actual)
def test_invalid_tolerance(self):
with self.assertRaises(TypeError):
_ = get_slope(np.sin(np.arange(4)), tol="hello")
def test_non_linear(self):
with self.assertRaises(ValueError):
_ = get_slope(np.sin(np.arange(4)))
def test_invalid_inputs(self):
with self.assertRaises(BaseException):
_ = get_slope("hello")
class TestToRanges(unittest.TestCase):
def test_valid(self):
actual = to_ranges([0, 1, 2, 3, 7, 8, 9, 10])
actual = list(actual)
if sys.version_info.major == 3:
expected = [range(0, 4), range(7, 11)]
self.assertTrue(all([x == y for x, y in zip(expected, actual)]))
else:
expected = [xrange(0, 4), xrange(7, 11)]
for in_x, out_x in zip(expected, actual):
self.assertTrue(all([x == y for x, y in zip(list(in_x), list(out_x))]))
class TestContainsIntegers(unittest.TestCase):
def test_typical(self):
self.assertTrue(contains_integers([1, 2, -3, 4]))
self.assertTrue(contains_integers(range(5)))
self.assertTrue(
contains_integers([2, 5, 8, 3], min_val=2))
self.assertTrue(contains_integers(np.arange(5)))
self.assertFalse(
contains_integers(np.arange(5), min_val=2))
self.assertFalse(
contains_integers([1, 4.5, 2.2, -1]))
self.assertFalse(
contains_integers([1, -2, 5], min_val=1))
self.assertFalse(
contains_integers(['dsss', 34, 1.23, None]))
self.assertFalse(contains_integers([]))
with self.assertRaises(TypeError):
_ = contains_integers(None)
with self.assertRaises(TypeError):
_ = contains_integers(14)
def test_illegal_min_val(self):
with self.assertRaises(TypeError):
_ = contains_integers([1, 2, 3, 4],
min_val='hello')
with self.assertRaises(TypeError):
_ = contains_integers([1, 2, 3, 4],
min_val=[1, 2])
with self.assertRaises(ValueError):
_ = contains_integers([1, 2, 3, 4],
min_val=1.234)
class TestIntegersToSlices(unittest.TestCase):
def test_illegal_inputs(self):
with self.assertRaises(TypeError):
integers_to_slices(slice(1, 15))
with self.assertRaises(ValueError):
integers_to_slices(
[-1.43, 34.6565, 45.344, 5 + 6j])
with self.assertRaises(ValueError):
integers_to_slices(
['asdds', None, True, 45.344, 5 + 6j])
def test_positive(self):
expected = [slice(0, 3), slice(7, 8), slice(14, 18), slice(22, 23),
slice(27, 28), slice(29, 30), slice(31, 32)]
inputs = np.hstack([range(item.start, item.stop) for item in expected])
ret_val = integers_to_slices(inputs)
self.assertEqual(expected, ret_val)
def test_negative(self):
expected = [slice(-7, -4), slice(-2, 3), slice(14, 18), slice(22, 23),
slice(27, 28), slice(29, 30)]
inputs = np.hstack([range(item.start, item.stop) for item in expected])
ret_val = integers_to_slices(inputs)
self.assertEqual(expected, ret_val)
class TestGetExponent(unittest.TestCase):
def test_negative_small(self):
expected = -7
self.assertEqual(expected,
get_exponent(np.arange(5) * -10 ** expected))
def test_positive_large(self):
expected = 4
self.assertEqual(expected,
get_exponent(np.arange(6) * 10 ** expected))
def test_mixed_large(self):
expected = 4
self.assertEqual(expected,
get_exponent(np.random.randint(-8, high=3, size=(5, 5)) * 10 ** expected))
def test_illegal_type(self):
with self.assertRaises(TypeError):
_ = get_exponent('hello')
_ = get_exponent([1, 2, 3])
_ = get_exponent([0, 1, np.nan])
class TestBuildIndValMatrices(unittest.TestCase):
'''Testing the build_ind_val_matrices function'''
def test_not_list_or_tuple(self):
with self.assertRaises(TypeError):
#try putting in a dictionary
unit_values = {'values':(0,1,2)}
_,_ = build_ind_val_matrices (unit_values)
#try a numpy array
unit_values = np.array([0,1,2,3])
_, _ = build_ind_val_matrices(unit_values)
def test_not_1D(self):
with self.assertRaises(ValueError):
# try a 2D matrix
unit_values = [np.random.normal(loc=1,scale=1,size=(5,5))]
_, _ = build_ind_val_matrices(unit_values)
def test_standard_case(self):
#here we want to assert that a standard case works
#two spectroscopic dimensions - [[0,1], [10,20]]
unit_values = [[0,1], [10,20]]
ind_mat, val_mat = build_ind_val_matrices(unit_values)
ind_mat_true = np.array([[0,0],[1,0], [0,1],[1,1]])
val_mat_true = np.array([[0., 10.], [1., 10.],
[0., 20.], [1., 20.]])
self.assertTrue(np.isclose(ind_mat, ind_mat_true).all() == True)
self.assertTrue(np.isclose(val_mat, val_mat_true).all() ==True)
if __name__ == '__main__':
unittest.main()
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