For the following Python 2.7 code:
#!/usr/bin/python def funcA(): print "funcA" c = 0 def funcB(): c += 3 print "funcB", c def funcC(): print "funcC", c print "c", c funcB() c += 2 funcC() c += 2 funcB() c += 2 funcC() print "end" funcA()
I get the following error:
File "./a.py", line 9, in funcB c += 3 UnboundLocalError: local variable 'c' referenced before assignment
But when I comment out the line c += 3
in funcB
, I get the following output:
funcA c 0 funcB 0 funcC 2 funcB 4 funcC 6 end
Isn't c
being accessed in both cases of +=
in funcB
and =
in funcC
? Why doesn't it throw error for one but not for the other?
I don't have a choice of making c
a global variable and then declaring global c
in funcB
. Anyway, the point is not to get c
incremented in funcB
but why it's throwing error for funcB
and not for funcC
while both are accessing a variable that's either local or global.
The Python "UnboundLocalError: Local variable referenced before assignment" occurs when we reference a local variable before assigning a value to it in a function. To solve the error, mark the variable as global in the function definition, e.g. global my_var .
The local variable referenced before assignment occurs when some variable is referenced before assignment within a function's body. The error usually occurs when the code is trying to access the global variable.
If you want to simply access a global variable you just use its name. However to change its value you need to use the global keyword. E.g. This would change the value of the global variable to 55.
The UnboundLocalError: local variable referenced before assignment error is raised when you try to assign a value to a local variable before it has been declared. You can solve this error by ensuring that a local variable is declared before you assign it a value.
What you are seeing here is the difference between accessing and assigning variables. In Python 2.x you can only assign to variables in the innermost scope or the global scope (the latter is done by using the global statement). You can access variables in any enclosing scope, but you cannot access a variable in an enclosing scope and then assign to it in the innermost or global scope.
What this means is that if there is any assignment to a name inside of a function, that name must already be defined in the innermost scope before the name is accessed (unless the global statement was used). In your code the line c += 3
is essentially equivalent to the following:
tmp = c c = tmp + 3
Because there is an assignment to c
in the function, every other occurrence of c
in that function will only look in the local scope for funcB
. This is why you see the error, you are attempting to access c
to get its current value for the +=
, but in the local scope c
has not been defined yet.
In Python 3 you could get around this issue by using the nonlocal statement, which allows you to assign to variables that are not in the current scope, but are also not in the global scope.
Your code would look something like this, with a similar line at the top of funcC
:
def funcB(): nonlocal c c += 3 ...
In Python 2.x this isn't an option, and the only way you can change the value of a nonlocal variable is if it is mutable.
The simplest way to do this is to wrap your value in a list, and then modify and access the first element of that list in every place where you had previously just used the variable name:
def funcA(): print "funcA" c = [0] def funcB(): c[0] += 3 print "funcB", c[0] def funcC(): c[0] = 5 print "funcC", c[0] print "c", c[0] funcB() funcC() funcB() funcC() print "end" funcA()
...and the output:
funcA c 0 funcB 3 funcC 5 funcB 8 funcC 5 end
Isn't 'c' being accessed in both cases of '+=' in funcB and '=' in funcC?
No, funcC
makes a new variable, also called c
. =
is different in this respect from +=
.
To get the behavior you (probably) want, wrap the variable up in a single-element list:
def outer(): c = [0] def inner(): c[0] = 3 inner() print c[0]
will print 3
.
Edit: You'll want to pass c
as an argument. Python 2 has no other way, AFAIK, to get the desired behavior. Python 3 introduces the nonlocal
keyword for these cases.
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