tf-lazy-loader 0.1.1

Lazy loading of Python modules, based on TensorFlow's LazyLoader util.

tf-lazy-loader

Installation

pip install tf-lazy-loader

Usage

from tf_lazy_loader import dynamic_import

# Lazily import the "os" module
os = dynamic_import("os")

# Trigger the actual import by referencing a name in the "os" module:
print(os.environ)

Conditionally switching between lazy and eager imports

You can set the lazy arg of the dynamic_import function to False to eagerly import the given module. This can be useful if you only want to perform lazy imports based on a flag.

For example, if you have a Django project and you only want to enable lazy imports when in DEBUG mode, and do imports eagerly in production, you would do something like this:

from django.conf import settings

DEBUG = settings.DEBUG

os = dynamic_import("os", lazy=DEBUG)