"""
pyfuzzylite (TM), a fuzzy logic control library in Python.
Copyright (C) 2010-2017 FuzzyLite Limited. All rights reserved.
Author: Juan Rada-Vilela, Ph.D. <jcrada@fuzzylite.com>
This file is part of pyfuzzylite.
pyfuzzylite is free software: you can redistribute it and/or modify it under
the terms of the FuzzyLite License included with the software.
You should have received a copy of the FuzzyLite License along with
pyfuzzylite. If not, see <http://www.fuzzylite.com/license/>.
pyfuzzylite is a trademark of FuzzyLite Limited
fuzzylite is a registered trademark of FuzzyLite Limited.
"""
import math
import unittest
import fuzzylite as fl
class TestOperation(unittest.TestCase):
def test_valid_identifier(self) -> None:
self.assertEqual(fl.Op.as_identifier(" xx "), "xx") # trims
self.assertEqual(fl.Op.as_identifier(" ~!@#$%^&*()+{}[]:;\"'<>?/, "), "unnamed")
self.assertEqual(fl.Op.as_identifier("abc123_.ABC"), "abc123_.ABC")
self.assertEqual(fl.Op.as_identifier(" "), "unnamed")
def test_str(self) -> None:
fl.lib.decimals = 3
self.assertEqual(fl.Op.str(0.3), "0.300")
self.assertEqual(fl.Op.str(-0.3), "-0.300")
self.assertEqual(fl.Op.str(3), "3")
self.assertEqual(fl.Op.str(3.0001), "3.000")
self.assertEqual(fl.Op.str(math.inf), "inf")
self.assertEqual(fl.Op.str(-math.inf), "-inf")
self.assertEqual(fl.Op.str(math.nan), "nan")
fl.lib.decimals = 5
self.assertEqual(fl.Op.str(0.3), "0.30000")
fl.lib.decimals = 0
self.assertEqual(fl.Op.str(0.3), "0")
fl.lib.decimals = 3
def test_scale(self) -> None:
self.assertEqual(fl.Op.scale(0, 0, 1, -10, 10), -10.0)
self.assertEqual(fl.Op.scale(.5, 0, 1, -10, 10), 0.0)
self.assertEqual(fl.Op.scale(1, 0, 1, -10, 10), 10)
self.assertEqual(fl.Op.scale(0, 0, 1, 0, 10), 0.0)
self.assertEqual(fl.Op.scale(.5, 0, 1, 0, 10), 5.0)
self.assertEqual(fl.Op.scale(1, 0, 1, 0, 10), 10)
self.assertEqual(fl.Op.scale(-1, 0, 1, 0, 10), -10.0)
self.assertEqual(fl.Op.scale(2, 0, 1, 0, 10), 20)
self.assertEqual(math.isnan(fl.Op.scale(math.nan, 0, 1, 0, 10)), True)
self.assertEqual(fl.Op.scale(math.inf, 0, 1, 0, 10), math.inf)
self.assertEqual(fl.Op.scale(-math.inf, 0, 1, 0, 10), -math.inf)
@unittest.skip("Revisit describe() method")
def test_describe(self) -> None:
self.assertEqual("OutputVariable[{"
"'default_value': 'nan', 'defuzzifier': 'None', "
"'fuzzy': 'term: x Aggregated []', "
"'lock_previous': 'False', 'previous_value': 'nan'"
"}]",
fl.Op.describe(
fl.OutputVariable("x", "an x", terms=[fl.Triangle("t")])))
self.assertEqual("InputVariable[{}]",
fl.Op.describe(
fl.InputVariable("x", "an x", terms=[fl.Triangle("t")])))
if __name__ == '__main__':
unittest.main()
