[The library is still in development. The doc is not completed yet. You can contribute to improve the library.]
capslock
is a high level utility library written in python for writing certain frequently needed task in faster & efficient way. For example, if you want to keep track of the execution time of one of your method while optimizing it, witing code for tracking execution time can be done easily using capslock.
Install using the following command -
pip install capslock
Uninstall using the following command -
pip uninstall capslock
Capslock defines different decorators that can be used out of the box for certain frequent tasks. E.g. getting the run time of certain function over the period of optimization in development phase.
To keep track of the execution time of a function in your project for optimizing it over the time, just put the "timing" decorator in your desired function. Capslock will keep track of different run of that function and will plot a well visualized graph for last five execution time of that function.
from capslock import timing
@timing(plot=True)
def say_hello():
print("Hello World")
if __name__ == '__main__':
say_hello()
This will generate output like bellow:
And it will also keep track of runtime for different runs of the say_hello()
function. and will plot a graph in the same directory of your python script if you set plot=True
, otherwise the plot flag is by default False
.
To get debug information of anyof your function, follow the bellow instruction-
from capslock import debug
@debug
def add(number1, number2):
return number1 + number2
if __name__ == '__main__':
print(add(20, 30))
will provide you the following output with some debug information-
You can contribute in different ways. You can add more decorators for frequently used tasks in day to day development works.