},
            "properties": [
              {
                "id": "color",
                "value": {
                  "fixedColor": "light-red",
                  "mode": "fixed"
                }
              }
            ]
          },
          {
            "matcher": {
              "id": "byName",
              "options": "Replication Requests"
            },

- Fixed EDITOR/KUBE_EDITOR with double-quoted paths with spaces when on Windows cmd.exe. ([#112104](https://github.com/kubernetes/kubernetes/pull/112104), [@oldium](https://github.com/oldium)) [SIG CLI and Windows]

	}
	c := s[i]
	return '0' <= c && c <= '9'
}

// getnum parses s[0:1] or s[0:2] (fixed forces s[0:2])
// as a decimal integer and returns the integer and the
// remainder of the string.
func getnum(s string, fixed bool) (int, string, error) {
	if !isDigit(s, 0) {
		return 0, s, errBad
	}
	if !isDigit(s, 1) {
		if fixed {
			return 0, s, errBad
		}
		return int(s[0] - '0'), s[1:], nil
	}

				Limit: 1,
			},
			// TODO(#108003): As of now, watchcache is deliberately ignoring
			// limit if RV=0 is specified, returning whole list of objects.
			// While this should eventually get fixed, for now we're explicitly
			// ignoring this testcase for watchcache.
			ignoreForWatchCache:        true,
			expectedOut:                []example.Pod{*preset[1]},
			expectContinue:             true,

test:release_macos_arm64 --config=release_macos_base

# Ensure release_base is set on windows
build:release_cpu_windows --config=release_base

# TODO(kanglan): Update windows configs after b/289091160 is fixed
build:release_cpu_windows --config=avx_win
build:release_cpu_windows --define=no_tensorflow_py_deps=true

# Exclude TFRT integration for anything but Linux.
build:android --config=no_tfrt

    readonly_model_ = input_model_->GetModel();
    model_ = UnPackFlatBufferModel(*readonly_model_);
  }
};

// TODO(b/327796566): re-enable after the bug is fixed
// TEST_F(QuantizeConvNoBiasModelTest, QuantizationSucceeds) {
//   auto status = QuantizeModelAllOperators(
//       &model_, TensorType_INT8, TensorType_INT8,

	// authZ plugin is set, role policies are just claims sent to
	// the plugin and they need not exist.
	//
	// If some mapped policies do not exist, we print some error
	// messages but continue any way - they can be fixed in the
	// running server by creating the policies after start up.
	for arn, rolePolicies := range m {
		specifiedPoliciesSet := newMappedPolicy(rolePolicies).policySet()