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Scope Resolution in Python | LEGB Rule

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  • Difficulty Level : Basic
  • Last Updated : 13 Sep, 2022
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Here, we will discuss different concepts such as namespace, scope, and LEGB rule in Python.

What are Namespaces in Python 

A python namespace is a container where names are mapped to objects, they are used to avoid confusion in cases where the same names exist in different namespaces. They are created by modules, functions, classes, etc. 

What is Scope in Python 

A scope defines the hierarchical order in which the namespaces have to be searched in order to obtain the mappings of name-to-object(variables). It is a context in which variables exist and from which they are referenced. It defines the accessibility and the lifetime of a variable. Let us take a simple example as shown below: 

Python3




pi = 'outer pi variable'
  
def print_pi():
    pi = 'inner pi variable'
    print(pi)
  
print_pi()
print(pi)

Output:

inner pi variable
outer pi variable

The above program gives different outputs because the same variable name pi resides in different namespaces, one inside the function print_pi and the other in the upper level. When print_pi() gets executed, ‘inner pi variable‘ is printed as that is pi value inside the function namespace. The value ‘outer pi variable‘ is printed when pi is referenced in the outer namespace. From the above example, we can guess that there definitely is a rule which is followed, in order in deciding from which namespace a variable has to be picked.   

Scope resolution LEGB rule In Python

In Python, the LEGB rule is used to decide the order in which the namespaces are to be searched for scope resolution. The scopes are listed below in terms of hierarchy(highest to lowest/narrowest to broadest):

  • Local(L): Defined inside function/class
  • Enclosed(E): Defined inside enclosing functions(Nested function concept)
  • Global(G): Defined at the uppermost level
  • Built-in(B): Reserved names in Python builtin modules
Scope Resolution in Python

 

Local Scope in Python

Local scope refers to variables defined in the current function. Always, a function will first look up a variable name in its local scope. Only if it does not find it there, the outer scopes are checked. 

Python3




# Local Scope
pi = 'global pi variable'
def inner():
    pi = 'inner pi variable'
    print(pi)
  
inner()

Output:

inner pi variable

On running the above program, the execution of the inner function prints the value of its local(highest priority in LEGB rule) variable pi because it is defined and available in the local scope. 

Local and Global Scopes in Python

If a variable is not defined in the local scope, then, it is checked for in the higher scope, in this case, the global scope

Python3




# Global Scope
pi = 'global pi variable'
def inner():
    pi = 'inner pi variable'
    print(pi)
  
inner()
print(pi)

Output:

inner pi variable
global pi variable

Therefore, as expected the program prints out the value in the local scope on the execution of inner(). It is because it is defined inside the function and that is the first place where the variable is looked up. The pi value in global scope is printed on the execution of print(pi) on line 9.   

Local, Enclosed, and Global Scopes in Python

For the enclosed scope, we need to define an outer function enclosing the inner function, comment out the local pi variable of the inner function and refer to pi using the nonlocal keyword. 

Python3




# Enclosed Scope
pi = 'global pi variable'
  
def outer():
    pi = 'outer pi variable'
    def inner():
        # pi = 'inner pi variable'
        nonlocal pi
        print(pi)
    inner()
  
outer()
print(pi)

Output:

outer pi variable
global pi variable

When outer() is executed, inner() and consequently the print functions are executed, which print the value the enclosed pi variable. The statement in line 10 looks for variable in local scope of inner, but does not find it there. Since pi is referred with the nonlocal keyword, it means that pi needs to be accessed from the outer function(i.e the outer scope). To summarize, the pi variable is not found in local scope, so the higher scopes are looked up. It is found in both enclosed and global scopes. But as per the LEGB hierarchy, the enclosed scope variable is considered even though we have one defined in the global scope. 

Local, Enclosed, Global, and Built-in Scopes

The final check can be done by importing pi from math module and commenting on the global, enclosed, and local pi variables as shown below: 

Python3




# Built-in Scope
from math import pi
  
# pi = 'global pi variable'
  
def outer():
    # pi = 'outer pi variable'
    def inner():
        # pi = 'inner pi variable'
        print(pi)
    inner()
  
outer()

Output:

3.141592653589793

Since, pi is not defined in either local, enclosed or global scope, the built-in scope is looked up i.e the pi value imported from the math module. Since the program is able to find the value of pi in the outermost scope, the following output is obtained,


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