Minimalist measurement of python code time

# timy      Minimalist measurement of python code time

timy comes with a different idea of the built-in module timeit. It adds flexibility and different ways of measuring code time, using simple context managers and function decorators.

## Installing

``````pip install timy
``````

## Usage

### Decorating a function

Let's say you have a `calculate` function and you want to keep track of its execution time

```import timy

@timy.timer()
def calculate(n, r):
"""
Divide, multiply and sum 'n' to every number in range 'r'
returning the result list
"""
return [i / n * n + n for i in range(r)]
```

Whenever you call that function, the execution time will be tracked

```calculate(5, 10000000)
>> Timy executed (calculate) for 1 time(s) in 1.529540 seconds
>> Timy best time was 1.529540 seconds
```

Changing the ident and adding loops to the execution

```import timy

@timy.timer(ident='My calculation', loops=10)
def calculate(n, r):
return [i / n * n + n for i in range(r)]

calculate(5, 10000000)
>> My calculation executed (calculate) for 10 time(s) in 15.165313 seconds
>> My calculation best time was 1.414186 seconds
```

### Tracking specific points along your code

The `with` statement can also be used to measure code time

Named tracking points can be added with the `track` function

```import timy

with timy.Timer() as timer:
N = 10000000
for i in range(N):
if i == N/2:
timer.track('Half way')

>> Timy (Half way) 0.557577 seconds
>> Timy 0.988087 seconds
```

Another usage of tracking in a prime factors function

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

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

factors = prime_factors(600851475143)
print(factors)

>> Factors (Found a factor) 0.000017 seconds
>> Factors (Found a factor) 0.000376 seconds
>> Factors (Found a factor) 0.001547 seconds
>> Factors 0.001754 seconds
>> [71, 839, 1471, 6857]
```

### Configuring

#### Importing timy config

```from timy.settings import timy_config
```

#### Enable or disable timy trackings

You can enable or disable timy trackings with the `tracking` value.

The default value of `tracking` is `True`

```timy_config.tracking = False
```

#### Changing the way timy outputs information

You can choose between print or logging for all timy outputs by setting the value of `tracking_mode`.

The default value of `tracking_mode` is `TrackingMode.PRINTING`.

```from timy.settings import (
timy_config,
TrackingMode
)

timy_config.tracking_mode = TrackingMode.LOGGING
```

timy logs at the INFO level, which is not printed or stored by default. To configure the logging system to print all INFO messages do

``````import logging
logging.basicConfig(level=logging.INFO)
``````

or to configure the logging system to print only timy's INFO messages do

``````import logging
logging.basicConfig()
logging.getLogger('timy').level=logging.INFO
``````

## Contribute

Contributions are always welcome, but keep it simple and small.

## Changelog

### v 0.4.0 (September 23, 2017)

• Drops py2 support and adds 100% coverage with CI integration

### v 0.3.3 (April 19, 2017)

• Adds an optional argument `include_sleeptime` to count time elapsed including sleep time (`include_sleeptime=True`) and excluding sleep time (`include_sleeptime=False`)

## Project details

This version 0.4.2 0.4.1 0.4.0 0.3.4 0.3.2 0.3.1 0.2 0.1