lazy_loader makes it easy to load subpackages and functions on demand.
- Allow subpackages to be made visible to users without incurring import costs.
- 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:
import lazy_loader as lazy
__getattr__, __dir__, _ = lazy.attach_stub(__name__, "subpackages.pyi")Note that, since imports are now defined in .pyi files, those
are not only necessary for type checking but also at runtime.
The SPEC describes this workaround in more detail.
With lazy loading, missing imports no longer fail upon loading the
libra
7E95
ry. 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:
sp = lazy.load('scipy') # `sp` will only be loaded when accessed
sp.linalg.norm(...)Note that lazily importing subpackages,
i.e. load('scipy.linalg') will cause the package containing the
subpackage to be imported immediately; thus, this usage is
discouraged.
You can ask lazy.load to raise import errors as soon as it is called:
linalg = lazy.load('scipy.linalg', error_on_import=True)