dataSource and dataSourceRef: * While dataSource only allows two specific types of objects, dataSourceRef\n  allows any non-core object, as well as PersistentVolumeClaim objects.\n* While dataSource ignores disallowed values (dropping them), dataSourceRef\n  preserves all values, and generates an error if a disallowed value is\n  specified.\n* While dataSource only allows local objects, dataSourceRef allows objects\n  in any namespaces.\n(Beta) Using this field requires the AnyVolumeDataSource feature...

                                    type: string
                                  subjectAltNames:
                                    description: A list of alternate names to verify
                                      the subject identity in the certificate.
                                    items:
                                      type: string
                                    type: array
                                type: object

                                    type: string
                                  subjectAltNames:
                                    description: A list of alternate names to verify
                                      the subject identity in the certificate.
                                    items:
                                      type: string
                                    type: array
                                type: object

                  * They select different objects.  If this is the case, then parentRef
                    entries are distinct. In terms of fields, this means that the
                    multi-part key defined by `group`, `kind`, `namespace`, and `name` must
                    be unique across all parentRef entries in the Route.
                  * They do not select different objects, but for each optional field used,

## Major Features And Improvements

*   `tf.keras` is now part of the core TensorFlow API.
*   [`tf.data`](http://tensorflow.org/guide/data) is now part of the core
    TensorFlow API.
    *   The API is now subject to backwards compatibility guarantees.
    *   For a guide to migrating from the `tf.contrib.data` API, see the
        [README](https://github.com/tensorflow/tensorflow/blob/r1.4/tensorflow/contrib/data/README.md).

  let summary = "Deserialize `SparseTensor` objects.";

  let description = [{
The input `serialized_sparse` must have the shape `[?, ?, ..., ?, 3]` where
the last dimension stores serialized `SparseTensor` objects and the other N
dimensions (N >= 0) correspond to a batch. The ranks of the original
`SparseTensor` objects must all match. When the final `SparseTensor` is

		if tc.err == "" {
			if len(errs) != 0 {
				t.Errorf("unexpected invalid for test: %s\nErrors returned: %+v\nLocal diff of test objects (-old +new):\n%s", tc.name, errs, cmp.Diff(tc.old, tc.new))
			}
		} else {
			if len(errs) == 0 {
				t.Errorf("unexpected valid for test: %s\nLocal diff of test objects (-old +new):\n%s", tc.name, cmp.Diff(tc.old, tc.new))

Class <org.gradle.api.internal.artifacts.ivyservice.resolveengine.excludes.factories.LoggingExcludeFactory$Subject> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (LoggingExcludeFactory.java:0)