import math import copy from visma.functions.structure import FuncOp ######################### # Exponential Functions # ######################### class Logarithm(FuncOp): """Class for log function -- log(...) Input examples: log(2) [without base, default base 10] log_4(x+y) [with base] Extends: FuncOp """ def __init__(self, operand=None): super().__init__() self.base = 10 self.value = 'log' def inverse(self, rToken, wrtVar, inverseFunction=None): inverseFunction = Exponential() super().inverse(self, rToken, wrtVar, inverseFunction) def calculate(self, val): return self.coefficient * ((math.log(val, self.base))) def differentiate(self, wrtVar=None): from visma.functions.variable import Variable result = copy.deepcopy(self) result.__class__ = Variable result.coefficient = 1 result.value = wrtVar result.power = [-1] result.operand = None return result class NaturalLog(Logarithm): """Class for ln function -- ln(...) or use log_e(...) Extends: Logarithm """ def __init__(self, operand=None): super().__init__() self.base = math.exp(1) self.value = 'ln' class Exponential(FuncOp): """Class for all constant exponential functions -- as exp(...) or 5^(...) Extends: FuncOp """ def __init__(self, val=None): super().__init__() self.value = 'exp' if not val: self.base = val else: self.base = math.e def calculate(self): from visma.functions.constant import Constant if isinstance(self.power, int) or isinstance(self.power, float) or isinstance(self.power, Constant): const = Constant() if isinstance(self.power, Constant): self.power = self.power.calculate() const.value = self.coefficient * (self.base ** self.power) return const else: return self