Comprehending Functions

Prevent duplicated processing cycles utilizing inline assignment limits mapping list structures.

Given elements dataset
```
records = [2, 4, -1, 8, 0]
```
.
Imagine calling
```
computation = (x * 2) + 1
```
happens frequently.
Inside a list comprehension: extract only values where the calculated computation evaluates natively to > 0. Store and retain ONLY this output computed metric result.
Normally this requires calling computation explicitly twice! But leveraging
```
walrus
```
, write
```
[processed for x in records if (processed := (x * 2) + 1) > 0]
```
. Print the return sequence.

main.py

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