signal over the inner-most dimension of `input`.

The inner-most dimension of `input` is assumed to be the result of `RFFT`: the
`fft_length / 2 + 1` unique components of the DFT of a real-valued signal. If
`fft_length` is not provided, it is computed from the size of the inner-most
dimension of `input` (`fft_length = 2 * (inner - 1)`). If the FFT length used to

[type=\"button\"],\n  [type=\"reset\"],\n  [type=\"submit\"] {\n    &:not(:disabled) {\n      cursor: pointer;\n    }\n  }\n}\n\n// Remove inner border and padding from Firefox, but don't restore the outline like Normalize.\nbutton::-moz-focus-inner,\n[type=\"button\"]::-moz-focus-inner,\n[type=\"reset\"]::-moz-focus-inner,\n[type=\"submit\"]::-moz-focus-inner {\n  padding: 0;\n  border-style: none;\n}\n\ninput[type=\"radio\"],\ninput[type=\"checkbox\"] {\n  box-sizing: border-box; // 1. Add the correct...

[type=\"button\"],\n  [type=\"reset\"],\n  [type=\"submit\"] {\n    &:not(:disabled) {\n      cursor: pointer;\n    }\n  }\n}\n\n// Remove inner border and padding from Firefox, but don't restore the outline like Normalize.\nbutton::-moz-focus-inner,\n[type=\"button\"]::-moz-focus-inner,\n[type=\"reset\"]::-moz-focus-inner,\n[type=\"submit\"]::-moz-focus-inner {\n  padding: 0;\n  border-style: none;\n}\n\ninput[type=\"radio\"],\ninput[type=\"checkbox\"] {\n  box-sizing: border-box; // 1. Add the correct...

reset],[type=submit],button{-webkit-appearance:button}[type=button]:not(:disabled),[type=reset]:not(:disabled),[type=submit]:not(:disabled),button:not(:disabled){cursor:pointer}[type=button]::-moz-focus-inner,[type=reset]::-moz-focus-inner,[type=submit]::-moz-focus-inner,button::-moz-focus-inner{padding:0;border-style:none}input[type=checkbox],input[type=radio]{box-sizing:border-box;padding:0}input[type=date],input[type=datetime-local],input[type=month],input[type=time]{-webkit-appearance:listbo...

            - name: ISTIO_META_POD_PORTS
              value: |-
                [
                {{- $first := true }}
                {{- range $index1, $c := .Spec.Containers }}
                  {{- range $index2, $p := $c.Ports }}
                    {{- if (structToJSON $p) }}
                    {{if not $first}},{{end}}{{ structToJSON $p }}
                    {{- $first = false }}
                    {{- end }}

	switch tp.Kind() {
	case reflect.Pointer:
		paths.Insert(collectResourcePaths(t, skipRecurseList, tp.Elem(), path).List()...)
	case reflect.Struct:
		for i := 0; i < tp.NumField(); i++ {
			field := tp.Field(i)
			paths.Insert(collectResourcePaths(t, skipRecurseList, field.Type, path.Child(field.Name)).List()...)
		}
	case reflect.Map, reflect.Slice:

SIG CLI expanded on debugging with `kubectl` to support two new debugging workflows: debugging workloads by creating a copy, and debugging nodes by creating a container in host namespaces. These can be convenient to:
 - Insert a debug container in clusters that don’t have ephemeral containers enabled 

      "io.k8s.apimachinery.pkg.util.intstr.IntOrString": {
        "description": "IntOrString is a type that can hold an int32 or a string.  When used in JSON or YAML marshalling and unmarshalling, it produces or consumes the inner type.  This allows you to have, for example, a JSON field that can accept a name or number.",
        "format": "int-or-string",
        "oneOf": [
          {
            "type": "integer"
          },

Night, I saw two such Crowns about her. The Diameter of the first or
innermost was about three Degrees, and that of the second about five
Degrees and an half. Next about the Moon was a Circle of white, and next
about that the inner Crown, which was of a bluish green within next the
white, and of a yellow and red without, and next about these Colours
were blue and green on the inside of the outward Crown, and red on the

    *   Add `.element_spec` property to `tf.data.DatasetSpec` to access the
        inner spec. This can be used to extract the structure of nested
        datasets.
    *   Add `tf.data.experimental.AutoShardingPolicy.HINT` which can be used to
        provide hints to tf.distribute-based auto-sharding as to where in the
        input pipeline to insert sharding transformations.