Consider the following snippet:
def bar():
return 1
print([bar() for _ in range(5)])
It gives an expected output [1, 1, 1, 1, 1]
.
However, if I try to exec
the same snippet in empty environment (locals
and globals
both are set to {}
), it gives NameError
:
if 'bar' in globals() or 'bar' in locals():
del bar
# make sure we reset settings
exec("""
def bar():
return 1
print([bar() for _ in range(5)])
""", {}, {})
NameError: name 'bar' is not defined
If I invoke exec
like exec(…, {})
or exec(…)
, it is executed as expected.
Why?
EDIT:
Consider also the following snippet:
def foo():
def bar():
return 1
print('bar' in globals()) # False
print('bar' in locals()) # True
print(['bar' in locals() for _ in [1]]) # [False]
print([bar() for _ in [1, 2]]) # [1, 1]
Just like in my first exec, we don't have bar in locals inside list comprehension. However, if we try to invoke it, it works!
List comprehensions are often described as being more Pythonic than loops or map() .
List comprehension works with string lists also. The following creates a new list of strings that contains 'a'. Above, the expression if 'a' in s returns True if an element contains a character 'a'. So, the new list will include names that contain 'a'.
List comprehensions provide us with a simple way to create a list based on some sequence or another list that we can loop over. In python terminology, anything that we can loop over is called iterable. At its most basic level, list comprehension is a syntactic construct for creating lists from existing lists.
Some key points to note about the two code snippets above: Unlike with for loops, list comprehensions automatically put their output into a list. In the first snippet, we have to explicitly create a new list and then append to it inside the for loop.
The solution to your problem lies here:
In all cases, if the optional parts are omitted, the code is executed in the current scope. If only globals is provided, it must be a dictionary, which will be used for both the global and the local variables. If globals and locals are given, they are used for the global and local variables, respectively. If provided, locals can be any mapping object. Remember that at module level, globals and locals are the same dictionary. If exec gets two separate objects as globals and locals, the code will be executed as if it were embedded in a class definition.
https://docs.python.org/3/library/functions.html#exec
Basically, your problem is that bar is defined in the scope of locals
and only in locals
. Therefore, this exec()
statement works:
exec("""
def bar():
return 1
print(bar())
""", {}, {})
The list comprehension however creates a new local scope, one in which bar
is not defined and can therefore not be looked up.
This behaviour can be illustrated with:
exec("""
def bar():
return 1
print(bar())
print(locals())
print([locals() for _ in range(1)])
""", {}, {})
which returns
1
{'bar': <function bar at 0x108efde18>}
[{'_': 0, '.0': <range_iterator object at 0x108fa8780>}]
EDIT
In your original example, the definition of bar
is found in the (module level) global scope. This corresponds to
Remember that at module level, globals and locals are the same dictionary.
In the exec
example, you introduce an artificial split in scopes between globals and locals by passing two different dictionaries. If you passed the same one or only the globals one (which would in turn mean that this one will be used for both globals
and locals
) , your example would also work.
As for the example introduced in the edit, this boils down to the scoping rules in python. For a detailed explanation, please read: https://docs.python.org/3/tutorial/classes.html#python-scopes-and-namespaces
In short, while bar
is not in the local scope of the list comprehension and neither in the global scope, it is in the scope of foo. And given Python scoping rules, if a variable is not found in the local scope, it will be searched for in the enclosing scopes until the global scope is reached. In your example, foo's scope sits between the local scope and the global scope, so bar will be found before reaching the end of the search.
This is however still different to the exec example, where the locals scope you pass in is not enclosing the scope of the list comprehension, but completely divided from it.
Another great explanation of scoping rules including illustrations can be found here: http://sebastianraschka.com/Articles/2014_python_scope_and_namespaces.html
As Hendrik Makait found out, the exec
documentation says that
If
exec
gets two separate objects asglobals
andlocals
, the code will be executed as if it were embedded in a class definition.
You can get the same behaviour by embedding the code into a class definition:
class Foo:
def bar():
return 1
print([bar() for _ in range(5)])
Run it in Python 3 and you will get
Traceback (most recent call last):
File "foo.py", line 9, in <module>
class Foo:
File "foo.py", line 15, in Foo
print({bar() for _ in range(5)})
File "foo.py", line 15, in <setcomp>
print({bar() for _ in range(5)})
NameError: global name 'bar' is not defined
The reason for the error is as Hendrik said that a new implicit local scope is created for list comprehensions. However Python only ever looks names up in 2 scopes: global or local. Since neither the global nor the new local scope contains the name bar
, you get the NameError
.
The code works in Python 2, because list comprehensions have a bug in Python 2 in that they do not create a new scope, and thus they leak variables into their current local scope:
class Foo:
[1 for a in range(5)]
print(locals()['a'])
Run it in Python 2 and the output is 4
. The variable a
is now within the locals in the class body, and retains the value from the last iteration. In Python 3 you will get a KeyError
.
You can get the same error in Python 2 too though, if you use a generator expression, or a dictionary/set comprehension:
class Foo:
def bar():
return 1
print({bar() for _ in range(5)})
The error can be produced also by just using simply
class Foo:
bar = 42
class Bar:
print(bar)
This is unlike
def foo():
bar = 42
def baz():
print(bar)
baz()
because upon execution of foo
, Python makes baz
into a closure, which will access the bar
variable via a special bytecode instruction.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With