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Python Programming/Scoping

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Variables

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Variables in Python are automatically declared by assignment. Variables are always references to objects, and are never typed. Variables exist only in the current scope or global scope. When they go out of scope, the variables are destroyed, but the objects to which they refer are not (unless the number of references to the object drops to zero).

Scope is delineated by function and class blocks. Both functions and their scopes can be nested. So therefore

def foo():
 def bar():
 x = 5 # x is now in scope
 return x + y # y is defined in the enclosing scope later
 y = 10
 return bar() # now that y is defined, bar's scope includes y

Now when this code is tested,

>>> foo()
15
>>> bar()
Traceback (most recent call last):
 File "<pyshell#26>", line 1, in -toplevel-
 bar()
NameError: name 'bar' is not defined

The name 'bar' is not found because a higher scope does not have access to the names lower in the hierarchy.

It is a common pitfall to fail to assign an object to a variable before use. In its most common form:

>>> for x in range(10):
 y.append(x) # append is an attribute of lists
Traceback (most recent call last):
 File "<pyshell#46>", line 2, in -toplevel-
 y.append(x)
NameError: name 'y' is not defined

Here, to correct this problem, one must add y = [] before the for loop executes.

A loop does not create its own scope:

for x in [1, 2, 3]:
 inner = x
print(inner) # 3 rather than an error

Keyword global

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Global variables of a Python module are read-accessible from functions in that module. In fact, if they are mutable, they can be also modified via method call. However, they cannot be modified by a plain assignment unless they are declared global in the function.

An example to clarify:

count1 = 1
count2 = 1
list1 = []
list2 = []
deftest1():
 print(count1) # Read access is unproblematic, referring to the global
deftest2():
 try:
 print(count1) # This try block is problematic because...
 count1 += 1 # count1 += 1 causes count1 to be local but local version is undefined.
 except UnboundLocalError as error:
 print("Error caught:", error)
deftest3():
 list1 = [2] # No outside effect; this defines list1 to be a local variable
deftest4():
 global count2, list2
 print(count1) # Read access is unproblematic, referring to the global
 count2 += 1 # We can modify count2 via assignment
 list1.append(1) # Impacts the global list1 even without global declaration since its a method call
 list2 = [2] # We can modify list2 via assignment 
test1()
test2()
test3()
test4()
print("count1:", count1) # 1
print("count2:", count2) # 2
print("list1:", list1) # [1]
print("list2:", list2) # [2]

Links:

Keyword nonlocal

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Keyword nonlocal, available since Python 3.0, is an analogue of global for nested scopes. It enables a nested function to assign-modify even an immutable variable that is local to the outer function.

An example:

# Requires Python 3
defouter():
 outerint = 0
 outerint2 = 10
 definner():
 nonlocal outerint
 outerint = 1 # Impacts outer's outerint only because of the nonlocal declaration
 outerint2 = 1 # No impact
 inner()
 print(outerint)
 print(outerint2)
outer()

Simulation of nonlocal in Python 2 via a mutable object:

defouter():
 outerint = [1] # Technique 1: Store int in a list
 classouterNL: pass # Technique 2: Store int in a class
 outerNL.outerint2 = 11
 definner():
 outerint[0] = 2 # List members can be modified
 outerNL.outerint2 = 12 # Class members can be modified
 inner()
 print(outerint[0])
 print(outerNL.outerint2)
outer()

Links:

globals and locals

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To find out which variables exist in the global and local scopes, you can use locals() and globals() functions, which return dictionaries:

int1 = 1
deftest1():
 int1 = 2
 globals()["int1"] = 3 # Write access seems possible
 print(locals()["int1"])# 2
 
test1()
print(int1) # 3

Write access to locals() dictionary is discouraged by the Python documentation.

Links:

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