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https://github.com/maxme1/lazycon
Easy config files in pure Python
https://github.com/maxme1/lazycon
config python
Last synced: 3 months ago
JSON representation
Easy config files in pure Python
- Host: GitHub
- URL: https://github.com/maxme1/lazycon
- Owner: maxme1
- License: mit
- Created: 2021-02-24T19:30:11.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2023-06-15T17:44:01.000Z (over 1 year ago)
- Last Synced: 2024-10-06T06:45:06.467Z (4 months ago)
- Topics: config, python
- Language: Python
- Homepage:
- Size: 345 KB
- Stars: 9
- Watchers: 1
- Forks: 1
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
[](https://codecov.io/gh/maxme1/lazycon)
[](https://pypi.org/project/lazycon/)
[](https://pypi.org/project/lazycon/)
Easy config files in pure Python!
What you can do directly in your configs:
- define constants
- define functions
- use import statements
- call functions and apply arithmetic operations
- a static read-only scope
- static checking: cycles detection, undefined variables detection
# Install
```shell
pip install lazycon
```
# Features
## Basic
Let's define a config file `example.config` and see what it can do
```python
# define constants
num_steps = 100
database_table = 'user_data'
# or more complex structures
parameters = {
'C': 10,
'metric': 'roc_auc',
}
values_to_try = [0, 1, 2, 3, 4]
# you can use and call builtins
some_range = list(range(100))
# or even comprehensions!
squares = [i ** 2 for i in range(20)]
```
Now let's load our config from python
```python
from lazycon import load
config = load('example.config')
print(config.database_table)
# 'user_data'
```
Need to change an existing config? No problem!
```python
from lazycon import load
config = load('example.config')
config.update(
database_table='customer_data',
some_range=[1, 3, 5],
)
config.dump('updated.config')
```
## Advanced
Python-based configs can do so much more! Let's create another `advanced.config`:
```python
# combine config entries
x = 1
y = 2
z = x + y
# define lambdas
callback = lambda value: 1 if value == 0 else (1 / value)
# or more complex functions
def strange_normalize(a, b):
temp = a ** 2 + b ** 2
return a / temp, b / temp
```
You can import from other python libraries:
```python
import numpy as np
from math import sqrt
const = np.pi / np.e
proportions = sqrt(2)
```
Or even other configs!
```python
# import from `example.config` defined above
from .example import *
extended_values_to_try = values_to_try + [101, 102]
```
# Contribute
Just get the project from GitHub and modify it how you please!
```shell
git clone https://github.com/maxme1/lazycon.git
cd lazycon
pip install -e .
```