def _configure_sympy(sympy, available):
if not available:
return
_operatorMap.update({
sympy.Add: _sum,
sympy.Mul: _prod,
sympy.Pow: lambda x, y: x**y,
sympy.exp: lambda x: EXPR.exp(x),
sympy.log: lambda x: EXPR.log(x),
sympy.sin: lambda x: EXPR.sin(x),
sympy.asin: lambda x: EXPR.asin(x),
sympy.sinh: lambda x: EXPR.sinh(x),
sympy.asinh: lambda x: EXPR.asinh(x),
sympy.cos: lambda x: EXPR.cos(x),
sympy.acos: lambda x: EXPR.acos(x),
sympy.cosh: lambda x: EXPR.cosh(x),
sympy.acosh: lambda x: EXPR.acosh(x),
sympy.tan: lambda x: EXPR.tan(x),
sympy.atan: lambda x: EXPR.atan(x),
sympy.tanh: lambda x: EXPR.tanh(x),
sympy.atanh: lambda x: EXPR.atanh(x),
sympy.ceiling: lambda x: EXPR.ceil(x),
sympy.floor: lambda x: EXPR.floor(x),
sympy.sqrt: lambda x: EXPR.sqrt(x),
sympy.Abs: lambda x: abs(x),
sympy.Derivative: _nondifferentiable,
sympy.Tuple: lambda *x: x,
})
_pyomo_operator_map.update({
EXPR.SumExpression: sympy.Add,
EXPR.ProductExpression: sympy.Mul,
EXPR.NPV_ProductExpression: sympy.Mul,
EXPR.MonomialTermExpression: sympy.Mul,
})
_functionMap.update({
'exp': sympy.exp,
'log': sympy.log,
'log10': lambda x: sympy.log(x) / sympy.log(10),
'sin': sympy.sin,
'asin': sympy.asin,
'sinh': sympy.sinh,
'asinh': sympy.asinh,
'cos': sympy.cos,
'acos': sympy.acos,
'cosh': sympy.cosh,
'acosh': sympy.acosh,
'tan': sympy.tan,
'atan': sympy.atan,
'tanh': sympy.tanh,
'atanh': sympy.atanh,
'ceil': sympy.ceiling,
'floor': sympy.floor,
'sqrt': sympy.sqrt,
})
# early versions of sympy returned the bare var
wrt = x[1]
raise NondifferentiableError(
"The sub-expression '%s' is not differentiable with respect to %s"
% (x[0], wrt))
_operatorMap = {
sympy.Add: _sum,
sympy.Mul: _prod,
sympy.Pow: lambda x, y: x**y,
sympy.exp: lambda x: current.exp(x),
sympy.log: lambda x: current.log(x),
sympy.sin: lambda x: current.sin(x),
sympy.asin: lambda x: current.asin(x),
sympy.sinh: lambda x: current.sinh(x),
sympy.asinh: lambda x: current.asinh(x),
sympy.cos: lambda x: current.cos(x),
sympy.acos: lambda x: current.acos(x),
sympy.cosh: lambda x: current.cosh(x),
sympy.acosh: lambda x: current.acosh(x),
sympy.tan: lambda x: current.tan(x),
sympy.atan: lambda x: current.atan(x),
sympy.tanh: lambda x: current.tanh(x),
sympy.atanh: lambda x: current.atanh(x),
sympy.ceiling: lambda x: current.ceil(x),
sympy.floor: lambda x: current.floor(x),
sympy.sqrt: lambda x: current.sqrt(x),
sympy.Abs: lambda x: abs(x),
sympy.Derivative: _nondifferentiable,
sympy.Tuple: lambda *x: x,
}