@Override
            public void execute(MutableModelNode modelNode, List<ModelView<?>> inputs) {
                action.execute(modelNode, Cast.<I>uncheckedCast(inputs.get(0).getInstance()));
            }
        };
    }

                public void test() throws IOException {
                    String location = System.getProperty("input.path");
                    BufferedReader reader = new BufferedReader(new FileReader(location));
                    String input = reader.readLine();
                    reader.close();
                    Assert.assertEquals("Test", input);
                }
            }
        """

        buildFile << """

        when:
        def input = ask { it.selectOption(TEXT, [11, 12, 13], 12) }

        then:
        1 * userInputReader.readInput() >> new UserInputReader.TextResponse("")
        0 * userInputHandler._

        and:
        input == 12
    }

    def "select question returns default on end-of-input"() {
        when:
        def input = ask { it.selectOption(TEXT, [11, 12, 13], 12) }

                    (MHLO_CompositeOp:$old_val
                    (variadic $a_input), 
                    ConstantStrAttr<StrAttr, "aten.avg_pool2d.default">, $attrs, $_, $_),
                    (TFL_TransposeOp 
                        (TFL_AveragePool2DOp 
                            /*input*/ (TFL_TransposeOp $a_input,
                                (Arith_ConstantOp

    %0 = func.call @func_0_CPU_QUANTIZED_INT8(%arg0, %arg1, %arg2) {tac.device = "CPU", tac.inference_type = "QUANTIZED_INT8", tac.interface_name = "func_0"} : (tensor<100x!quant.uniform<i8:f32, 2.000000e-01:-3>>,...

            try {
                String location = System.getProperty("input.file");
                BufferedReader reader = new BufferedReader(new FileReader(location));
                String input = reader.readLine();
                reader.close();
                FileWriter out = new FileWriter(args[args.length - 1], false);
                out.write(input);
                out.close();
            } catch (IOException e) {

>;

// Removes `stablehlo.custom_call @Sharding`. Assumes this call always accepts
// one input. Other attributes are ignored.
def RemoveShardingCustomCall : Pat<
  (StableHLO_CustomCallOp (variadic $input0), $call_target_name, $_, $_, $_, $_, $_, $_, $_),
  (replaceWithValue $input0),

        PathSensitivity.NAME_ONLY | [['first/input', 'foo'], ['second/input', 'foo'], ['third/input1', 'foo']]
        PathSensitivity.RELATIVE  | [['first/input', 'foo'], ['second/input', 'foo'], ['third/input1', 'foo']]
        PathSensitivity.ABSOLUTE  | [['first/input', 'foo'], ['first/input', 'foo'], ['third/input', 'foo']]
    }

                        mlir::Location location) {
  // If the size of the tensor to be sliced from the input overflows
  // the input tensor's dimensions, return 0-valued tensor of the requested
  // shape.
  ArrayRef<int64_t> input_shape = GetRankedTensorShape(input);
  for (int i = 0, end = input_shape.size(); i < end; i++) {
    if (begin_values[i] < 0 ||

    def "can read from stream and then restart to use another stream"() {
        def input1 = encoded("string 1")
        def input2 = encoded("string 2")

        given:
        def decoder = new KryoBackedDecoder(input1)
        decoder.readString()
        decoder.restart(input2)

        expect:
        decoder.readPosition == 0
        decoder.readString() == "string 2"