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All parameters (arguments) in the Python language are passed by reference. This means that if you change the reference content of a parameter in a function, that change will also be reflected in the calling function.
Achieve this by -
In this example we will return a tuple of results -
# Function Definition def demo(val1, val2): val1 = 'new value' val2 = val2 + 1 return val1, val2 x, y = 'old value', 5 # Function call print(demo(x, y))
('new value', 6)
In this example we will pass a mutable object -
# Function Definition def demo2(a): # 'a' references a mutable list a[0] = 'new-value' # This changes a shared object a[1] = a[1] + 1 args = ['old-value', 5] demo2(args) print(args)
['new-value', 6]
In this example we will pass a dictionary -
def demo3(args): # args is a mutable dictionary args['val1'] = 'new-value' args['val2'] = args['val2'] + 1 args = {'val1': 'old-value', 'val2': 5} # Function call demo3(args) print(args)
{'val1': 'new-value', 'val2': 6}
In this example we will pack the value in the class instance -
class Namespace: def __init__(self, **args): for key, value in args.items(): setattr(self, key, value) def func4(args): # args is a mutable Namespace args.val1 = 'new-value' args.val2 = args.val2 + 1 args = Namespace(val1='old-value', val2=5) # Function Call func4(args) print(vars(args))
{'val1': 'new-value', 'val2': 6}
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