The `lazy` library (version 1.6) provides a Python descriptor that allows object attributes to be computed only when they are first accessed, and then caches the result for subsequent retrievals. It enables efficient resource usage by deferring potentially expensive computations until absolutely necessary. The project maintains an active, though not rapid, release cadence, with the latest update in 2023.
pip install lazyVerified import paths — ran on the pinned version, not inferred.
Demonstrates the basic usage of the `@lazy` decorator on a method, turning it into a lazy-loaded, cached attribute. The computation ('computing bar') runs only on the first access.
Ensure the underlying data is immutable or clear and re-initialize the object if fresh computation is required.
Avoid relying on side effects for subsequent accesses or ensure side effects are idempotent and safe to run once.
Implement explicit locking or ensure thread synchronization if the lazy attribute is accessed by multiple threads before its initial computation.
Install the library using pip: `pip install lazy`
Avoid direct reassignment to a `@lazy` attribute. If the value needs to change, consider if `@lazy` is the appropriate tool for that attribute, or implement a mechanism to invalidate the cached value if the library provides one.
Once a `@lazy` attribute has been accessed, its value is cached. To retrieve the cached value, access the attribute directly (e.g., `obj.attribute_name`). Do not attempt to call it like a method (e.g., `obj.attribute_name()`).
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