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Open Source CAI Framework Handles Pen Testing Tasks up to 3,600× Faster Than Humans
CAI is a new open source AI framework that automates penetration testing tasks like scanning and exploitation up to 3,600× faster than humans.
An amazing alternative to Python's builtin timeit module that allows for high resolution timing of functions as well as in-depth line-by-line timing. It also exposes convenient classes to measure execution time for any arbitrary code.
An amazing alternative to Python's builtin timeit
module that allows for high resolution timing of functions as well as in-depth line-by-line timing. It also exposes convenient classes to measure execution time for any arbitrary code.
# imports
import time
from wraptimer import TimeIt
# Init
timeit = TimeIt()
# decorate
@timeit.byline
def test_by_line():
a = 10
b = 20
time.sleep(0.8)
c = a + b
return [a, b, c]
# run
test_by_line()
# Imports
import asyncio
from wraptimer import TimeIt
# Init
timeit = TimeIt()
# decorate
@timeit.byline
async def test_by_line_async():
a = 10
b = 20
await asyncio.sleep(1.25)
return [a, b]
# run
asyncio.run(test_by_line_async())
Use @timeit.func
if you do not want to print line-by-line durations.
...
@timeit.func
async def test_by_line_async():
a = 10
b = 20
await asyncio.sleep(1.25)
return [a, b]
For more about wraptimer, Read The Documentation
FAQs
An amazing alternative to Python's builtin timeit module that allows for high resolution timing of functions as well as in-depth line-by-line timing. It also exposes convenient classes to measure execution time for any arbitrary code.
We found that wraptimer demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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