- message: filter.responseHeaderModifier must be specified
                                  for ResponseHeaderModifier filter.type
                                rule: '!(!has(self.responseHeaderModifier) && self.type
                                  == ''ResponseHeaderModifier'')'
                              - message: filter.requestMirror must be nil if the filter.type

Computes a 2-D depthwise convolution given 4-D `input` and `filter` tensors.
  }];

  let description = [{
Given an input tensor of shape `[batch, in_height, in_width, in_channels]`
and a filter / kernel tensor of shape
`[filter_height, filter_width, in_channels, channel_multiplier]`, containing
`in_channels` convolutional filters of depth 1, `depthwise_conv2d` applies
a different filter to each input channel (expanding from 1 channel to

                                    a filter chain's match condition.
                                  maximum: 4294967295
                                  minimum: 0
                                  type: integer
                                filter:
                                  description: The name of a specific filter to apply
                                    the patch to.

                                  description: The destination_port value used by
                                    a filter chain's match condition.
                                  type: integer
                                filter:
                                  description: The name of a specific filter to apply
                                    the patch to.
                                  properties:

                                    a filter chain's match condition.
                                  maximum: 4294967295
                                  minimum: 0
                                  type: integer
                                filter:
                                  description: The name of a specific filter to apply
                                    the patch to.

       *   `tflite::Interpreter::signature_keys`
       *   `tflite::Interpreter::signature_inputs`
       *   `tflite::Interpreter::signature_outputs`
       *   `tflite::Interpreter::input_tensor_by_signature`
       *   `tflite::Interpreter::output_tensor_by_signature`

    *  Similarly, the following signature runner functions in the TF Lite C API are no longer considered experimental:

       *    `TfLiteInterpreterGetSignatureCount`

- Fixes an issue with the max-in-flight API server filter where the filter could take a long time to process an incoming request if it had been a long time since the last request. ([#96282](https://github.com/kubernetes/kubernetes/pull/96282), [@staebler](https://github.com/staebler)) [SIG API Machinery]

		{"(*Reader).RegisterDecompressor", Method, 6},
		{"(*Writer).AddFS", Method, 22},
		{"(*Writer).Close", Method, 0},
		{"(*Writer).Copy", Method, 17},
		{"(*Writer).Create", Method, 0},
		{"(*Writer).CreateHeader", Method, 0},
		{"(*Writer).CreateRaw", Method, 17},
		{"(*Writer).Flush", Method, 4},
		{"(*Writer).RegisterCompressor", Method, 6},
		{"(*Writer).SetComment", Method, 10},
		{"(*Writer).SetOffset", Method, 5},
		{"Compressor", Type, 2},

Class <org.gradle.api.internal.tasks.testing.filter.DefaultTestFilter> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (DefaultTestFilter.java:0)
Class <org.gradle.api.internal.tasks.testing.filter.TestFilterSpec> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (TestFilterSpec.java:0)

115A..115E    ; valid                  ;      ; NV8    # 5.2  HANGUL CHOSEONG KIYEOK-TIKEUT..HANGUL CHOSEONG TIKEUT-RIEUL
115F..1160    ; disallowed                             # 1.1  HANGUL CHOSEONG FILLER..HANGUL JUNGSEONG FILLER
1161..11A2    ; valid                  ;      ; NV8    # 1.1  HANGUL JUNGSEONG A..HANGUL JUNGSEONG SSANGARAEA
11A3..11A7    ; valid                  ;      ; NV8    # 5.2  HANGUL JUNGSEONG A-EU..HANGUL JUNGSEONG O-YAE