I have run across an issue with some of my user functions where a value
could be 0.0 and during the process of evaluation, Sympy converts it to
Zero.
This in turn causes my _eval_evalf() function to not be called. Below is my
sample function class. If the obs_symbol has a value of 0.0, _eval_evalf()
does not get called. If I cast a 0 value to int, then the _eval_evalf()
does get called. If the variable is a Float and 0.0 is passed into the
evalf(), _eval_evalf() does not get called.
if data[obs_var.name] != 0:
mlr_symbols[obs_var] = symFloat(data[obs_var.name])
else:
mlr_symbols[obs_var] = int(data[obs_var.name])
self.mlrResult = sym_expr.evalf(subs=mlr_symbols)
Test function:
class TEST_FUNC(Function):
nargs = 4
def _eval_evalf(self, nprec):
obs_symbol, a, b, c= symbols('obs_symbol a b c')
test_func = a + b * obs_symbol + c * obs_symbol**2
result = test_func.evalf(subs={obs_symbol: symFloat(self.args[0]), a:
symFloat(self.args[1]), b: symFloat(self.args[2]), c: symFloat(self.args[3])})
return result
I suspect I am missing an element in my TEST_FUNC class that would address
this issue, but I'm not sure what that is.
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