import org.apache.maven.building.Source;

/**
 * Caches auxiliary data used during model building like already processed raw/effective models. The data in the cache
 * is meant for exclusive consumption by the model builder and is opaque to the cache implementation. The cache key is
 * formed by a combination of group id, artifact id, version and tag. The first three components generally refer to the

 * under the License.
 */
package org.apache.maven.artifact.repository;

/**
 * Caches auxiliary data used during repository access like already processed metadata. The data in the cache is meant
 * for exclusive consumption by the repository system and is opaque to the cache implementation.
 *
 */
@Deprecated
//
// Used by Tycho and will break users and force them to upgrade to Maven 3.1 so we should really leave

	healStoppedStatus                      = "stopped"
	healFinishedStatus                     = "finished"
)

const (
	// a heal sequence with this many un-consumed heal result
	// items blocks until heal-status consumption resumes or is
	// aborted due to timeout.
	maxUnconsumedHealResultItems = 1000

	// if no heal-results are consumed (via the heal-status API)
	// for this timeout duration, the heal sequence is aborted.

   * list (counter-intuitive, but mathematically consistent).
   *
   * <p><i>Performance notes:</i> while the cartesian product of lists of size {@code m, n, p} is a
   * list of size {@code m x n x p}, its actual memory consumption is much smaller. When the
   * cartesian product is constructed, the input lists are merely copied. Only as the resulting list
   * is iterated are the individual lists created, and these are not retained after iteration.
   *

* Improved **correctness** in corner cases.
* **Safer** types.
* Better **performance** and **less energy** consumption.
* Better **extensibility**.
* etc.

...all this while keeping the **same Python API**. In most of the cases, for simple models, you can simply upgrade the Pydantic version and get all the benefits. 🚀