- required:
                                  - regex
                            - required:
                              - exact
                            - required:
                              - prefix
                            - required:
                              - regex
                            properties:
                              exact:

                                - required:
                                  - regex
                            - required:
                              - exact
                            - required:
                              - prefix
                            - required:
                              - regex
                            properties:
                              exact:

                                - required:
                                  - regex
                            - required:
                              - exact
                            - required:
                              - prefix
                            - required:
                              - regex
                            properties:
                              exact:

                              useful (see .node.status.conditions), the ability to deconflict is important.
                              The regex it matches is (dns1123SubdomainFmt/)?(qualifiedNameFmt)
                            maxLength: 316

			field.Invalid(fieldPath.Index(1), "", "name part must consist of alphanumeric characters, '-', '_' or '.', and must start and end with an alphanumeric character (e.g. 'MyName',  or 'my.name',  or '123-abc', regex used for validation is '([A-Za-z0-9][-A-Za-z0-9_.]*)?[A-Za-z0-9]')"),
		},
	}, {
		name: "legal gates",
		schedulingGates: []core.PodSchedulingGate{
			{Name: "foo"},
			{Name: "bar"},
		},

  let summary = "Check if the input matches the regex pattern.";

  let description = [{
The input is a string tensor of any shape. The pattern is the
regular expression to be matched with every element of the input tensor.
The boolean values (True or False) of the output tensor indicate
if the input matches the regex pattern provided.

        2.0 is under active development and has no guarantees at this point.
    *   Add additional compression options to TfRecordWriter.
    *   Performance improvements for regex full match operations.
    *   Replace tf.GraphKeys.VARIABLES with `tf.GraphKeys.GLOBAL_VARIABLES`.
    *   Remove unused dynamic learning rate support.

## Thanks to our Contributors