Scope is the term used to define the location(s) in which Python searches for a name to object mapping (e.g a variable).
As described in this StackOverflow post, Python uses the LEGB Rule to locate a definition. LEGB stands for:
- L, Local — Names assigned in any way within a function (_def _or lambda_)), and not declared global in that function._
- E, Enclosing-function locals — Name in the local scope of any and all statically enclosing functions (_def _or lambda_), from inner to outer._
- G, Global (module) — Names assigned at the top-level of a module file, or by executing a global statement in a def within the file.
- B, Built-in (Python) — Names preassigned in the built-in names module open,range,SyntaxError,…
In a nutshell, Python will first look at the local scope for a name to object mapping (e.g people = 5). If it cannot find one, it will continue going up the hierarchy until it finds one. If it doesn’t find a mapping, it will raise an exception.
To shed some more light on this let’s take a step back and analyse each of the points listed above. I’ll do so in reverse order because that is the way we write Python code, as you’ll see in a moment.
As the name suggests, Built-in refer to mappings which are built into Python. Because they’re built-in, we don’t have to do anything but call the name in order to use it.
Here’s an example of using the
# built-in print range(5) # Output: [0, 1, 2, 3, 4] # built-in
Let’s now add a global name called range and see what happens:
# built-in print range(5) # global range = 'this is a global "range"' print range # Output: [0, 1, 2, 3, 4] # built-in this is a global "range" # global
We can see that the global name overrode the built-in name given that the global string - this is a global “range” - was printed. Looking at the LEGB rule tells us that this is expected behavior given that the global scope has a higher precedence than the built-in scope.
Let’s just double check that we’re right though. Let’s move the built-in below the global and see what happens:
this is a global "range" Traceback (most recent call last): File line 13, in print range(5) TypeError: 'str' object is not callable Process finished with exit code 1
We encounter an error when the interpreter reaches the print range(5) line. This is because the
range() built-in function no longer exists because it has been replaced by our global range string.
Side note: This is known as Shadowing. I’ll expand on Shadowing in another post but suffice to say that you should never shadow built-ins otherwise you’ll run into issues such as this. Also note that built-ins are available in all namespaces, not just global.
The below code has been expanded to include an enclosing scope example:
# built-in print range(5) # global range = 'this is a global "range"' print range def main(): # enclosing range = 'this is an enclosed "range"' def enclosing(): print range enclosing() main()
What I’ve done here is enclosed the
enclosing() function inside of the
main() function. This is also known as nesting.
Note that the
enclosing() function does not have a definition for range in its scope and therefore it needs to go up the hierarchy to see if one exists there. Let’s see what it finds:
[0, 1, 2, 3, 4] # built-in this is a global "range" # global this is an enclosed "range" # enclosing()
main() is the next level above
enclosing() in the hierarchy,
main()’s range mapping is used.
But what would happen if
main() didn’t have a mapping for range? As per the code below,
enclosing() would have no choice but to look higher in the hierarchy for a mapping:
# built-in print range(5) # global range = 'this is a global "range"' print range def main(): def enclsoing(): print range enclsoing() main()
This would result in
enclosing() printing the global mapping instead, like so:
[0, 1, 2, 3, 4] # built-in this is a global "range" # global this is a global "range" # enclosing()
Local, as the name suggests, is a name to object mapping that is local to the scope. In other words, Python does not need to search the hierarchy for the mapping, it is locally defined like so:
# built-in print range(5) # global range = 'this is a global "range"' print range def main(): # enclosing range = 'this is an enclosed "range"' def enclosing(): # local range = 'this is a local "range"' print range enclosing() main()
This code results in the following output:
[0, 1, 2, 3, 4] # built-in this is a global "range" # global this is a local "range" # local
Note that the enclosing definition is no longer used because, as per the order of operation listed at the top of this post, local scope has precedence over an enclosing scope.
As always, if you have any questions or have a topic that you would like me to discuss, please feel free to post a comment at the bottom of this blog entry, e-mail at email@example.com, or drop me a message on Reddit (OzNetNerd).
Note: The opinions expressed in this blog are my own and not those of my employer.