I have encountered a problem when putting all the modules I've developed into the main program. The switch dictionary I've created can be seen below:
def Tank_Shape_Calcs(Tank_Shape, level, area, dish, radius, length, Strapping_Table, Tank_Number):
switcher = {
0: vertical.Vertical_Tank(level, area),
1: horiz.Horiz_Cylinder_Dished_Ends(dish, radius, level, length),
2: strapping.Calc_Strapped_Volume(Strapping_Table, level),
3: poly.Fifth_Poly_Calcs(Tank_Number)
}
return switcher.get(Tank_Shape, "ERROR: Tank type not valid")
The tank shape is set in the main file in a loop for each of the tanks. The first tank has Tank_Shape = 2
so I would expect it to execute the Calc_Strapped_Volume()
function.
I have tried testing it, and the switcher function is definitely reading Tank_Shape
as 2
. Also if I change the functions to strings, it will print out the correct string.
The problem is that the functions seem to be executed sequentially, until the correct function is called. This results in errors as the data I'm using will only work with the correct function.
Is there a way to only execute the correct function?
There is a dictionary switcher which helps on mapping to the right function based on the input to the function Choice . There is default case to be implemented which is done using switcher. get(i, 'Invalid') , so if this returns 'Invalid' , you can give an error message to user or neglect it.
Given a dictionary, assign its keys as function calls. Case 1 : Without Params. The way that is employed to achieve this task is that, function name is kept as dictionary values, and while calling with keys, brackets '()' are added.
Python dictionary contains multiple keys This method is a in-built function in Python and it returns true if all the elements of dict1 are contained in original dictionary.
All your functions are executed when you build the dictionary, not when you access the key.
You need to use lambda
(without any parameters, they are already known) to make sure the function is only called when required:
switcher = { 0: lambda : vertical.Vertical_Tank(level, area), 1: lambda : horiz.Horiz_Cylinder_Dished_Ends(dish, radius, level, length), 2: lambda : strapping.Calc_Strapped_Volume(Strapping_Table, level), 3: lambda : poly.Fifth_Poly_Calcs(Tank_Number) }
then call when you return, with the error message as a lambda that returns it:
return switcher.get(Tank_Shape, lambda : "ERROR: Tank type not valid")()
As noted, the functions will get invoked during dictionary construction. Besides that, there's two other issues I see here:
switcher
during every invocation of the function Tank_Shape_Calcs
, this generally isn't a good idea. *args
:-) If my understanding of what you're up to is correct, I'd move switcher outside the function, as a Tank_Shape
to function
object mapping:
switcher = { 0: vertical.Vertical_Tank, 1: horiz.Horiz_Cylinder_Dished_Ends, 2: strapping.Calc_Strapped_Volume, 3: poly.Fifth_Poly_Calcs }
Then, define Tank_Shape_Calcs
to take the excess arguments as a tuple with *args
:
def Tank_Shape_Calcs(Tank_Shape, *args): return switcher.get(Tank_Shape, lambda *_: "ERROR: Tank type not valid")(*args)
and invoke your function after .get
ting it.
This also plays off Jean's trick to define a lambda
in .get
but does so with *_
in order to allow it to get called with many args (which are consequently ignored).
What you are doing in your code, is creating a dictionary with integer keys (0-3) and function results as values. Hence, you first call all the functions and then access the return values of these functions. I would change your code as following:
def Tank_Shape_Calcs(Tank_Shape, level, area, dish, radius, length, Strapping_Table, Tank_Number):
switcher = {
0: (vertical.Vertical_Tank, (level, area)),
1: (horiz.Horiz_Cylinder_Dished_Ends, (dish, radius, level, length)),
2: (strapping.Calc_Strapped_Volume, (Strapping_Table, level)),
3: (poly.Fifth_Poly_Calcs, (Tank_Number,))
}
func, args = switcher.get(Tank_Shape, (None, None))
if func is not None:
return func(*args)
Here, you get first the function you want to call with the according arguments and call it.
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