mirror of
https://github.com/ets-labs/python-dependency-injector.git
synced 2025-11-04 01:47:36 +03:00
49 lines
1.1 KiB
Python
49 lines
1.1 KiB
Python
"""`Factory` providers - building a complex object graph with deep init injections example."""
|
|
|
|
from dependency_injector import providers
|
|
|
|
|
|
class Regularizer:
|
|
def __init__(self, alpha):
|
|
self.alpha = alpha
|
|
|
|
|
|
class Loss:
|
|
def __init__(self, regularizer):
|
|
self.regularizer = regularizer
|
|
|
|
|
|
class ClassificationTask:
|
|
def __init__(self, loss):
|
|
self.loss = loss
|
|
|
|
|
|
class Algorithm:
|
|
def __init__(self, task):
|
|
self.task = task
|
|
|
|
|
|
algorithm_factory = providers.Factory(
|
|
Algorithm,
|
|
task=providers.Factory(
|
|
ClassificationTask,
|
|
loss=providers.Factory(
|
|
Loss,
|
|
regularizer=providers.Factory(
|
|
Regularizer,
|
|
),
|
|
),
|
|
),
|
|
)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
algorithm_1 = algorithm_factory(task__loss__regularizer__alpha=0.5)
|
|
assert algorithm_1.task.loss.regularizer.alpha == 0.5
|
|
|
|
algorithm_2 = algorithm_factory(task__loss__regularizer__alpha=0.7)
|
|
assert algorithm_2.task.loss.regularizer.alpha == 0.7
|
|
|
|
algorithm_3 = algorithm_factory(task__loss__regularizer=Regularizer(alpha=0.8))
|
|
assert algorithm_3.task.loss.regularizer.alpha == 0.8
|