Performance refactor

Hello @joshswimlane I was working on a new refactor for improve the performance of pyattck. I wanted to improve the memory usage, unfortunately it was not possible, but the time to parsing the file was huge improvement.

If you want i could create the pull request, it could be a new mayor version on the project. Also i think it could useful create a test for the project.

Please give me feedback about what you think.

Here you are the results and test files used pyattck_test.zip:

Python 2.7

New code:

Memory:
	Max: 71.02Mb
	Min: 19.47Mb
	Median(6): 47.31Mb
Time mem: 0:00:00.353103

Old code:

Memory:
	Max: 78.98Mb
	Min: 17.62Mb
	Median(721): 70.28Mb
Time mem: 0:01:12.166692

Python 3.5

New code:

Memory:
	Max: 43.66Mb
	Min: 22.96Mb
	Median(5): 34.12Mb
Time mem: 0:00:00.223263

Old code:

Memory:
	Max: 42.43Mb
	Min: 21.35Mb
	Median(299): 42.16Mb
Time mem: 0:00:29.845125

Python 3.6

New code:

Memory:
	Max: 41.73Mb
	Min: 22.92Mb
	Median(5): 32.11Mb
Time mem: 0:00:00.221237

Old code:

Memory:
	Max: 45.91Mb
	Min: 21.18Mb
	Median(250): 40.53Mb
Time mem: 0:00:24.916879

Python 3.7

New code:

Memory:
	Max: 41.21Mb
	Min: 21.81Mb
	Median(5): 31.23Mb
Time mem: 0:00:00.232362

Old code:

Memory:
	Max: 41.25Mb
	Min: 21.00Mb
	Median(321): 41.04Mb
Time mem: 0:00:32.049158

[joshswimlane]

Awesome! I’ll have to look at this next week - I’m on vacation currently - but thanks!

[joshswimlane]

This has been resolved. If the issue persists please open a new issue.