def apply_N(self, prec, evaluation):
'N[E, prec_]'
prec = get_precision(prec, evaluation)
if prec is not None:
with workprec(prec):
return Real(mpmath2gmpy(mpmath.e))
def apply_N(self, k, precision, evaluation):
'N[AiryBiZero[k_Integer], precision_]'
prec = get_precision(precision, evaluation)
k_int = k.get_int_value()
with mpmath.workprec(prec):
result = mpmath2sympy(mpmath.airybizero(k_int), prec)
return from_sympy(result)
def apply_N(self, k, precision, evaluation):
'N[AiryBiZero[k_Integer], precision_]'
prec = get_precision(precision, evaluation)
k_int = k.get_int_value()
with mpmath.workprec(prec):
result = mpmath2sympy(mpmath.airybizero(k_int), prec)
return from_sympy(result)
def apply_N(self, precision, evaluation):
'N[E, precision_]'
precision = get_precision(precision, evaluation)
if precision is not None:
return Real(sympy.E.n(dps(precision)), p=precision)
def apply_N(self, precision, evaluation):
'N[E, precision_]'
precision = get_precision(precision, evaluation)
if precision is not None:
return Real(sympy.E.n(dps(precision)), p=precision)
def apply_N(self, precision, evaluation):
"N[Pi, precision_]"
precision = get_precision(precision, evaluation)
if precision is not None:
return Real(sympy.pi.n(dps(precision)), p=precision)
