gEconpy.model.compile.compile_to_pytensor_function#

gEconpy.model.compile.compile_to_pytensor_function(inputs, outputs, cache, stack_return, pop_return, return_symbolic, **kwargs)#

Convert a sympy function to a pytensor function using pytensor.function().

Parameters:

inputs: list[sp.Symbol]: The inputs to the function.
outputs: list[Union[sp.Symbol, sp.Expr]]: The outputs of the function.
cache: dict: Dictionary mapping sympy symbols to pytensor symbols. Used to maintain namespace scope between different compiled functions.
stack_return: bool: If True, the function will return a single numpy array with all outputs. Otherwise it will return a list of numpy arrays.
pop_return: bool: If True, the function will return only the 0th element of the output. Used to remove the list wrapper around single-output functions.
return_symbolic: bool: If True, the function will return a symbolic pytensor computation graph instead of a compiled function.
kwargs: dict: Additional keyword arguments to pass to pytensor.function(). Ignored if return_symbolic is True.

Returns: