lazy_loader makes it easy to load subpackages and functions on demand.

1. Allow subpackages to be made visible to users without incurring import costs.
2. Allow external libraries to be imported only when used, improving import times.

For a more detailed discussion, see the SPEC.

pip install -U lazy_loader 

Consider the __init__.py from scikit-image:

subpackages = [ ..., 'filters', ... ] import lazy_loader as lazy __getattr__, __dir__, _ = lazy.attach(__name__, subpackages)

You can now do:

import skimage as ski ski.filters.gaussian(...)

The filters subpackages will only be loaded once accessed.

Consider skimage/filters/__init__.py:

from ..util import lazy __getattr__, __dir__, __all__ = lazy.attach( __name__, submodules=['rank'], submod_attrs={ '_gaussian': ['gaussian', 'difference_of_gaussians'], 'edges': ['sobel', 'scharr', 'prewitt', 'roberts', 'laplace', 'farid'] } )

The above is equivalent to:

from . import rank from ._gaussian import gaussian, difference_of_gaussians from .edges import (sobel, scharr, prewitt, roberts, laplace, farid)

Except that all subpackages (such as rank) and functions (such as sobel) are loaded upon access.

Static type checkers and IDEs cannot infer type information from lazily loaded imports. As a workaround you can load type stubs (.pyi files) with lazy.attach_stub.

The SPEC describes this workaround in more detail.

With lazy loading, missing imports no longer fail upon loading the library. During development and testing, you can set the EAGER_IMPORT environment variable to disable lazy loading.

The lazy.attach function discussed above is used to set up package internal imports.

Use lazy.load to lazily import external libraries:

linalg = lazy.load('scipy.linalg') # `linalg` will only be loaded when accessed

You can also ask lazy.load to raise import errors as soon as it is called:

linalg = lazy.load('scipy.linalg', error_on_import=True)