* 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

class UndeclaredBuildInputsDynamicGroovyBuildSrcIntegrationTest extends AbstractUndeclaredBuildInputsIntegrationTest implements GroovyPluginImplementation {
    @Override
    String getLocation() {

 * 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

class UndeclaredBuildInputsDynamicGroovySettingsScriptIntegrationTest extends AbstractUndeclaredBuildInputsIntegrationTest implements GroovyPluginImplementation {
    @Override
    String getLocation() {

 * 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

class UndeclaredBuildInputsKotlinBuildScriptPluginsBlockIntegrationTest extends AbstractUndeclaredBuildInputsIntegrationTest implements KotlinPluginImplementation {

    @Override
    boolean isRestrictedDsl() {

 * 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

abstract class EnvVariableRead extends BuildInputRead {
    static EnvVariableRead getEnv(String name) {
        return new EnvVariableRead() {
            @Override
            String getKotlinExpression() {

  // CHECK-NEXT:  }

  // Find the tensors and inject the min and max to the input and output
  for (auto& sub_graph : model->subgraphs) {
    for (auto& op : sub_graph->operators) {
      if (tflite::GetBuiltinCode(
              model->operator_codes[op->opcode_index].get()) ==
          tflite::BuiltinOperator_FULLY_CONNECTED) {
        // inject min/max to the input and output tensors

                       Inputs(Out(NodeWith(Name("placeholder_a"))),
                              Out(NodeWith(Name("placeholder_b"))))));

  EXPECT_EQ(Explain(add.node(), NodeWith(Inputs())),
            "\nexpected 0 inputs but node has 2");
  EXPECT_EQ(
      Explain(add.node(), NodeWith(Inputs(Out(NodeWith(Name("blah"))), _))),
      "\ninput 0 does not match expected:\nname: blah, \nsource does not match "

  3: 13
Enter selection (default: 12) [1..3] """)
    }

    def "accepts valid input"() {
        def event = new SelectOptionPromptEvent(123, "question", ["1", "2", "3", "4"], 1)

        expect:
        def result = event.convert(input)
        result.response == expected
        result.newPrompt == null

        where:
        input | expected
        '1'   | 0
        '4'   | 3
        ' 1 ' | 0
    }

	// in the analyzed source code such as a potential mistake.
	// It may be called by the Run function.
	Report func(Diagnostic)

	// ResultOf provides the inputs to this analysis pass, which are
	// the corresponding results of its prerequisite analyzers.
	// The map keys are the elements of Analysis.Required,
	// and the type of each corresponding value is the required

            @Override
            public void onInput(ForwardInput input) {
                LOGGER.debug("Writing forwarded input on this process' stdin.");
                stdInStream.received(input.getBytes());
            }

            @Override
            public void onUserResponse(UserResponse input) {
                inputReader.putInput(new UserInputReader.TextResponse(input.getResponse()));
            }

            @Override

        Converts a TensorFlow SavedModel into StableHLO bytecode.

        * input-path: The path to the input TensorFlow SavedModel.
        * exported-model-signatures: Comma-separated list of exported model
          signatures to convert.
        * tag_names: Comma-separated list of tags for loading SavedModel.
        * input-arg-shapes: A string representation of input argument shapes for