References: []Reference{
							{ForeignKey: "OwnerType", ForeignSchema: "Toy", PrimaryValue: "users"},
						},
					},
				},
			},
		})
	})

	t.Run("has one with custom polymorphic type and id", func(t *testing.T) {
		type Toy struct {
			ID    int
			Name  string
			RefId int
			Type  string
		}

		type Cat struct {
			ID   int
			Name string

     * Create rate limiter with default settings
     */
    public AuthenticationRateLimiter() {
        this(5, 10, 100, Duration.ofMinutes(30), Duration.ofMinutes(5));
    }

    /**
     * Create rate limiter with custom settings
     *
     * @param maxAttemptsPerAccount max failed attempts per account before lockout
     * @param maxAttemptsPerIp max attempts from single IP
     * @param maxGlobalAttemptsPerMinute max global attempts per minute

  dependencies:
    path-key "^3.1.0"
    shebang-command "^2.0.0"
    which "^2.0.1"

custom-event@~1.0.0:
  version "1.0.1"
  resolved "https://registry.yarnpkg.com/custom-event/-/custom-event-1.0.1.tgz#5d02a46850adf1b4a317946a3928fccb5bfd0425"
  integrity sha512-GAj5FOq0Hd+RsCGVJxZuKaIDXDf3h6GQoNEjFgbLLI/trgtavwUbSnZ5pVfg27DVCaWjIohryS0JFwIJyT2cMg==

// Creates a new operation - see `TF_NewOperation` for more details.
//
// The lock for `graph` must be held when calling this function.
//
// Unless implementing advanced behavior, like custom gradient functions, you
// most likely need to call `TF_NewOperation` instead.
TF_CAPI_EXPORT extern TF_OperationDescription* TF_NewOperationLocked(
    TF_Graph* graph, const char* op_type, const char* oper_name);

 different computation approaches and orders.
    *   To verify if oneDNN optimizations are on, look for a message with *"oneDNN custom operations are on"* in the log. If the exact phrase is not there, it means they are off.

* Making the `tf.function` type system fully available:

    * `tf.types.experimental.TraceType` now allows custom tf.function inputs to declare Tensor decomposition and type casting support.

        .addEqualityGroup(wrapperFunction.apply(generator.newFreshProxy(interfaceType)))
        // TODO: add an overload to EqualsTester to print custom error message?
        .testEquals();
  }

  private static <T> void testToString(
      Class<T> interfaceType, Function<? super T, ? extends T> wrapperFunction) {

`autoscaling/v2alpha1`. The Horizontal Pod Autoscaler changes include support for status conditions, and autoscaling on memory and custom metrics.

* The metrics APIs, `custom-metrics.metrics.k8s.io` and `metrics`, were moved from `v1alpha1` to `v1beta1`, and renamed to `custom.metrics.k8s.io` and `metrics.k8s.io`, respectively. If you have deployed a custom metrics adapter, ensure that it supports the new API version. If you have deployed Heapster in aggregated API server mode, upgrade...

* kubectl could scale custom resource again ([#81342](https://github.com/kubernetes/kubernetes/pull/81342), [@knight42](https://github.com/knight42))

     *
     * The server’s TLS certificate still must match the requested hostname. For example, if the
     * certificate is issued to `example.com` and the request is to `localhost`, the connection will
     * fail. Use a custom [HostnameVerifier] to ignore such problems.
     *
     * Other TLS features are still used but provide no security benefits in absence of the above

		Path:      pathJoin(bucket, decodeDirObject(object)),
	}
	if opts != nil {
		tr.Custom = map[string]string{
			"dry":    fmt.Sprint(opts.DryRun),
			"remove": fmt.Sprint(opts.Remove),
			"mode":   fmt.Sprint(opts.ScanMode),
		}
		if result != nil {
			tr.Custom["version-id"] = result.VersionID
			tr.Custom["disks"] = strconv.Itoa(result.DiskCount)
			tr.Bytes = result.ObjectSize
		}
	}