from visma.functions.structure import FuncOp
from visma.functions.exponential import NaturalLog
import math
########################
# Hyberbolic Functions #
########################
class Sinh(FuncOp):
"""Class for sinh function -- sinh(...)
Extends:
FuncOp
"""
def __init__(self):
super().__init__()
self.value = 'sinh'
def inverse(self, RHS):
super().inverse(RHS)
self.__class__ = ArcSinh
def differentiate(self):
super().differentiate()
self.__class__ = Cosh
def integrate(self):
self.__class__ = Cosh
def calculate(self, val):
return self.coefficient * ((math.sinh(val))**self.power)
class Cosh(FuncOp):
"""Class for cosh function -- cosh(...)
Extends:
FuncOp
"""
def __init__(self):
super().__init__()
self.value = 'cosh'
def inverse(self, RHS):
super().inverse(RHS)
self.__class__ = ArcCosh
def differentiate(self):
super().differentiate()
self.__class__ = Sinh
def integrate(self):
self.__class__ = Sinh
def calculate(self, val):
return self.coefficient * ((math.cosh(val))**self.power)
class Tanh(FuncOp):
"""Class for tanh function -- tanh(...)
Extends:
FuncOp
"""
def __init__(self):
super().__init__()
self.value = 'tanh'
def inverse(self, RHS):
super().inverse(RHS)
self.__class__ = ArcTanh
def differentiate(self):
super().differentiate()
self.__class__ = Cosh # Derivative of Tanh(x) is equal to 1-Tanh^2(x) = Sech^2(x) = Cosh^-2(x), So Class is Cosh, and Power is to be set to (-2).
def integrate(self):
self.__class__ = NaturalLog # Ln(Cosh(x)), value is to be set to Cosh(...).
def calculate(self, val):
return self.coefficient * ((math.tanh(val)) ** self.power)
################################
# Inverse Hyperbolic Functions #
################################
class ArcSinh(FuncOp):
pass
class ArcCosh(FuncOp):
pass
class ArcTanh(FuncOp):
pass
