Add logging

User Story

As a developer, i want to be able to log the tracking output instead of printing it.

Overview

Sometimes logging is preferred rather than printing, add a log functionality and settings to enable or disable both of the options.

Acceptance Criteria

• Add log functionality
• Add settings to enable or disable printing and logging

Tested with both Python 2.7 and 3.5 and on multiple devices.

>>>import timy
>>> 
>>> @timy.timer()
... def hello():
...     l = [x for x in range(0,1000)]
...     return l
... 
>>> hello()
Timy executed (hello) for 1 time in 0.000184 seconds seconds
Timy best time was 0.000184 seconds seconds

This doesn't happen with with statement

>>> import timy
>>> 
>>> with timy.Timer() as timer:
...     l = [x for x in range(0,10000)]
...     
... 
Timy 0.001751 seconds

Installed with pip. Raises ModuleNotFound on import.

Description

Add flake8 to the CI flow, so it fails whenever we have flake8 issues.

Hi there. Really like this lean approach using decorators. I am wondering though if it wouldn't be better to use time.process_time instead of time.time? Or maybe this could be toggled by another decorator function argument like time="total" vs time="process" or so. What are your thoughts on this?

Please add description in Pypi website.
https://pypi.org/project/timy/#description

You should move code out of __init__.py. That should usually be left empty.
Also, are you aware of the timeit module?

$ python -m timeit -s 'foo = 5' -- 'foo + 1'
10000000 loops, best of 3: 0.044 usec per loop

Description

Check why git hash is not being sent on codecov, probably related to the docker image being used, seems like it does not have git.

Acceptance Criteria

• No errors during tox and tests reports are uploaded properly with git hash

@ramonsaraiva
I would like to know if Timy output could be stored in a dictionary rather than printing on to the console or logging to a log file?
Also, Can Timy be used in production code without any compromise in performance?

To prevent the logging from getting too noisy it would be nice to set it to something other than INFO.
Great library!

the example does not return the prime factors of n

try this instead

def prime_factors(n):
    with timy.Timer('Factors') as timer:
        i = 2
        factors = []
        def add_factor(n):
            factors.append(n)
            timer.track('Found a factor')

        while i * i <= n:
            if n % i == 0:
                add_factor(i)
                n //= i
            else:
                i += 1
        return factors + [n]

factors = prime_factors(600851475143)
print(factors)