Metadata-Version: 2.1
Name: horology
Version: 1.2.0
Summary: Conveniently measures the time of loops, contexts and functions.
Home-page: https://github.com/mjmikulski/horology
License: MIT
Keywords: timing,profiling,measure time,duration
Author: mjmikulski
Author-email: maciej.mikulski.jr@gmail.com
Requires-Python: >=3.6,<4.0
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: Testing
Classifier: Topic :: Utilities
Project-URL: Repository, https://github.com/mjmikulski/horology
Description-Content-Type: text/markdown

# `Horology`

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Conveniently measures the time of your loops, contexts and functions.

![](hourglass.jpg "Photo by Mike from Pexels")



## Installation
Simply:
```
pip install horology
```

Works with python versions 3.6, 3.7, 3.8 and 3.9. Tested on Linux, Windows and MacOS.

## Usage
The following 3 tools will let you measure practically any part of your Python code.

### Timing an iterable (list, tuple, generator, etc)
#### Quick example
```python
from horology import Timed

animals = ['cat', 'dog', 'crocodile']

for x in Timed(animals):
    feed(x)
```
Result:
```
iteration    1: 12.0 s
iteration    2: 8.00 s
iteration    3: 100 s

total 3 iterations in 120 s
min/median/max: 8.00/12.0/100 s
average (std): 40.0 (52.0) s

```

#### More cool stuff:
You can specify where (if at all) you want each iteration and summary to be printed, eg.:
```python
for x in Timed(animals, unit='ms', 
               iteration_print_fn=logger.debug, 
               summary_print_fn=logger.info):
    feed(x)
```


### Timing a function with a `@timed` decorator
#### Quick example
```python
from horology import timed

@timed
def foo():
    ...
```
Result:
```
>>> foo()
foo: 7.12 ms
```

#### More cool stuff:
Personalize time unit and name
```python
@timed(unit='s', name='Processing took ')
def bar():
    ...
```
Result:
```
>>> bar()
Processing took 0.185 s
```


### Timing part of code with a `Timing` context
#### Quick example
Just wrap your code using a `with` statement
```python
from horology import Timing

with Timing(name='Important calculations: '):
    ...
```
Result:
```
Important calculations: 12.4 s
```

#### More cool stuff:
You can suppress default printing and directly use measured time (also within context)
```python
with Timing(print_fn=None) as t:
    ...
    
make_use_of(t.interval)
```


## Time units
Time units are by default automatically adjusted, for example you will see
`foo: 7.12 ms` rather than `foo: 0.007 s`. If you don't like it, you can 
override this by setting the `unit` argument with one of these names: 
`['ns', 'us', 'ms', 's', 'min', 'h', 'd']`.



## Contributions 
Contributions are welcomed, see [contribution guide](.github/contributing.md).



## Internals
Horology internally measures time with `perf_counter` which provides the *highest available resolution,*
 see [docs](https://docs.python.org/3/library/time.html#time.perf_counter).

