*More Instructions coming soon*

## Provider-specific Notes

* AWS
  * Support for ap-northeast-2 region (Seoul)
  * Allow cross-region image pulling with ECR
  * More reliable kube-up/kube-down
  * Enable ICMP Type 3 Code 4 for ELBs
  * ARP caching fix
  * Use /dev/xvdXX names
  * ELB:
    * ELB proxy protocol support 
	* mixed plaintext/encrypted ports support in ELBs

        SmbFile verifySource = new SmbFile(baseUrl + "shared/" + sourceFileName, verifyContext);
        assertTrue(verifySource.exists(), "Source file should exist");

        // Perform rename using copy+delete as this is more reliable with Docker/Samba
        CIFSContext renameContext = createFreshContext();
        SmbFile srcForCopy = new SmbFile(baseUrl + "shared/" + sourceFileName, renameContext);

            """
            Human-readable title.

            Read more about it in the
            [FastAPI docs about Query parameters](https://fastapi.tiangolo.com/tutorial/query-params-str-validations/#declare-more-metadata)
            """
        ),
    ] = None,
    description: Annotated[
        str | None,
        Doc(
            """
            Human-readable description.

		writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
		return
	}

	// Check if anonymous (non-owner) has access to list objects.
	readable := globalPolicySys.IsAllowed(policy.BucketPolicyArgs{
		Action:          policy.ListBucketAction,
		BucketName:      bucket,
		ConditionValues: getConditionValues(r, "", auth.AnonymousCredentials),

 *     .build();
 * System.out.println(url);
 * ```
 *
 * which prints:
 *
 * ```
 * https://www.google.com/search?q=polar%20bears
 * ```
 *
 * As another example, this code prints the human-readable query parameters of a Twitter search:
 *
 * ```java
 * HttpUrl url = HttpUrl.parse("https://twitter.com/search?q=cute%20%23puppies&f=images");
 * for (int i = 0, size = url.querySize(); i < size; i++) {

    extends AbstractMap<K, V> implements ConcurrentMap<K, V>, Serializable {

  /*
   * The basic strategy is to subdivide the table among Segments, each of which itself is a
   * concurrently readable hash table. The map supports non-blocking reads and concurrent writes
   * across different segments.
   *
   * The page replacement algorithm's data structures are kept casually consistent with the map. The

    assertAssignable(
        new TypeToken<NumberList<? super Integer>>() {}, new TypeToken<NumberList<?>>() {});
  }

  public <T extends Readable & Appendable> void testMultiBound() {
    assertAssignable(new TypeToken<List<T>>() {}, new TypeToken<List<? extends Readable>>() {});
    assertAssignable(new TypeToken<List<T>>() {}, new TypeToken<List<? extends Appendable>>() {});
  }

  public void testToGenericType() {

                    msg = e.getClass().getSimpleName();
                }
            }
            problems.add(new ModelProblemCollectorRequest(Severity.FATAL, Version.BASE)
                    .setMessage("Non-readable POM " + modelSource.getLocation() + ": " + msg)
                    .setException(e));
            throw problems.newModelBuildingException();
        }

        model.setPomFile(pomFile);

    assertAssignable(
        new TypeToken<NumberList<? super Integer>>() {}, new TypeToken<NumberList<?>>() {});
  }

  public <T extends Readable & Appendable> void testMultiBound() {
    assertAssignable(new TypeToken<List<T>>() {}, new TypeToken<List<? extends Readable>>() {});
    assertAssignable(new TypeToken<List<T>>() {}, new TypeToken<List<? extends Appendable>>() {});
  }

  public void testToGenericType() {

    extends AbstractMap<K, V> implements ConcurrentMap<K, V>, Serializable {

  /*
   * The basic strategy is to subdivide the table among Segments, each of which itself is a
   * concurrently readable hash table. The map supports non-blocking reads and concurrent writes
   * across different segments.
   *
   * The page replacement algorithm's data structures are kept casually consistent with the map. The