The expression [f for f in (1, lambda x: x if x >= 0 else -1)]
in Python is an example of a list comprehension that creates a new list based on an existing iterable object. In this case, the iterable is the tuple (1, lambda x: x if x >= 0 else -1)
.
Let's break down the expression step by step:
f
is the variable that represents each element in the iterable during each iteration of the comprehension.
for f in (1, lambda x: x if x >= 0 else -1)
is the iteration part of the comprehension. It instructs Python to iterate over the elements in the tuple (1, lambda x: x if x >= 0 else -1)
and assign each element to the variable f
.
[f for f in (1, lambda x: x if x >= 0 else -1)]
is the part that defines the new list. It collects the elements generated during the iteration into a list.
In this specific example, the iterable contains two elements:
The number 1
: This element is added directly to the new list as it is.
The lambda function lambda x: x if x >= 0 else -1
: This element is added to the new list as a lambda function object.
So, if you execute this expression, it will create a new list with two elements: 1
and the lambda function.
Here's an example code snippet to demonstrate the usage:
main.py113 chars3 lines
Note that the exact memory location of the lambda function may vary in your case (0x000001
is just a placeholder).
I hope this example helps you understand how to use list comprehensions in Python.
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