def typeParameters():
r"""Get dictionary with functions for checking values of parameters.
Returns:
Dict[str, Callable]:
* F (Callable[[Union[int, float]], bool]): TODO
* CR (Callable[[float], bool]): TODO
"""
d = BatAlgorithm.typeParameters()
d['F'] = lambda x: isinstance(x, (int, float)) and x > 0
d['CR'] = lambda x: isinstance(x, float) and 0 <= x <= 1
return d
def test_parameter_type(self):
d = BatAlgorithm.typeParameters()
self.assertTrue(d['Qmax'](10))
self.assertTrue(d['Qmin'](10))
self.assertTrue(d['r'](10))
self.assertFalse(d['r'](-10))
self.assertFalse(d['r'](0))
self.assertFalse(d['A'](0))
self.assertFalse(d['A'](-19))
self.assertTrue(d['NP'](10))
self.assertFalse(d['NP'](-10))
self.assertFalse(d['NP'](0))
self.assertTrue(d['A'](10))
self.assertFalse(d['Qmin'](None))
self.assertFalse(d['Qmax'](None))
def typeParameters():
r"""Get dictionary with functions for checking values of parameters.
Returns:
Dict[str, Callable]:
* F (Callable[[Union[int, float]], bool]): Scaling factor.
* CR (Callable[[float], bool]): Crossover probability.
See Also:
* :func:`NiaPy.algorithms.basic.BatAlgorithm.typeParameters`
"""
d = BatAlgorithm.typeParameters()
d.update({
'F': lambda x: isinstance(x, (int, float)) and x > 0,
'CR': lambda x: isinstance(x, float) and 0 <= x <= 1
})
return d
def typeParameters():
d = BatAlgorithm.typeParameters()
d['F'] = lambda x: isinstance(x, (int, float)) and x > 0
d['CR'] = lambda x: isinstance(x, float) and 0 <= x <= 1
return d
