// information to the abstract model and/or elevating k8s
// representation to first-class type to avoid extra conversions.

func parseInputsImpl(inputs string, withValidate bool) ([]config.Config, []IstioKind, error) {
	var varr []config.Config
	var others []IstioKind
	reader := bytes.NewReader([]byte(inputs))
	empty := IstioKind{}

	// We store configs as a YaML stream; there may be more than one decoder.

  // CHECK: }

  // CHECK: func private @_stablehlo_main_0
  // CHECK-SAME: (%arg0: tensor<i32>, %[[INPUT_1:.*]]: tensor<3x11xf32>)
  // CHECK-SAME: -> tensor<3x11xf32>
  // CHECK: %[[CONSTANT_2:.*]] = stablehlo.constant dense<1.000000e+01> : tensor<3x11xf32>
  // CHECK: %[[ADD:.*]] = stablehlo.add %[[INPUT_1]], %[[CONSTANT_2]] : tensor<3x11xf32>
  // CHECK: %[[MUL:.*]] = stablehlo.multiply %[[ADD]], %[[CONSTANT_2]] : tensor<3x11xf32>

    // expected-error @+1 {{'tf.TPUReplicatedInput' op TF2XLA TPU bridge input check: number of inputs inconsistent. num_replicas=2 no. of inputs=3}}
    %ri, %c0 = tf_executor.island wraps "tf.TPUReplicatedInput"(%arg0, %arg1, %arg1) {index = 1 : i64, is_mirrored_variable = false, is_packed = false} : (tensor<i32>, tensor<i32>, tensor<i32>) -> tensor<i32>

  auto loc =
      mlir::FileLineColLoc::get(context, input->getBufferIdentifier(), 0, 0);
  std::vector<std::string> inputs;
  std::vector<std::string> outputs;
  return tflite::FlatBufferToMlir(
      absl::string_view(input->getBufferStart(), input->getBufferSize()),
      context, loc, false, inputs, outputs, false);
}

}  // namespace

std::string FlatBufferFileToMlir(const std::string& model_file_or_buffer,

	meta := analysis.Metadata{
		Name:        "webhook.Analyzer",
		Description: "Checks the validity of Istio webhooks",
		Inputs: []config.GroupVersionKind{
			gvk.MutatingWebhookConfiguration,
		},
	}
	if !a.SkipServiceCheck {
		meta.Inputs = append(meta.Inputs, gvk.Service)
	}
	return meta
}

func getNamespaceLabels() []klabels.Set {
	return []klabels.Set{
		{},

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.gradle.internal.cc.impl.inputs.undeclared

import org.gradle.internal.cc.impl.AbstractConfigurationCacheIntegrationTest

abstract class BuildInputInjection {
    abstract String getDescription()

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.gradle.internal.cc.impl.inputs.process.instrument

/**
 * Test cases for two-argument {@code Runtime.exec}:
 * <pre>
 *     Runtime.getRuntime().exec("echo 123", env)
 *     Runtime.getRuntime().exec(["echo", "123"], env)
 * </pre>
 */

    }

    @ToBeFixedForConfigurationCache(skip = INVESTIGATE)
    def "exposes file inputs, not ignoring empty directories"() {
        given:
        withBuildCache()
        settingsFile << "include 'a'"
        createDir("a") {
            file("build.gradle") << """
                task foo {
                    inputs.dir('src').ignoreEmptyDirectories(false).withPropertyName('src')

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.gradle.internal.cc.impl.inputs.process.instrument

/**
 * Test cases for single-argument String and String collection {@code execute} extension:
 * <pre>
 *     "echo 123".execute()
 *     ["echo", "123"].execute()
 * </pre>
 */

// TensorFlow.
std::unique_ptr<OperationPass<ModuleOp>>
CreatePrepareTpuComputationForTfExportPass();

// Rewrites ops that require quantized inputs or outputs to ops that allow
// non-quantized inputs and outputs.
std::unique_ptr<OperationPass<func::FuncOp>> CreateLowerQuantizedPass();

// Reorders ops so ops of the same dialect are next to each other.