outputs.dir(inputsDir)
    doLast {
        inputsDir.file("1.txt").asFile.writeText("Changed content for existing file 1.")
        inputsDir.file("4.txt").asFile.writeText("Content for new file 4.")
    }
}
// end::updated-inputs[]

// tag::removed-input[]
tasks.register<Delete>("removeInput") {
    delete("inputs/3.txt")
}
// end::removed-input[]

// tag::removed-output[]

            this.inputs = inputs;
            this.ruleSourceType = ruleSourceType;
            this.ruleExtractor = ruleExtractor;
        }

        @Override
        public ModelReference<?> getSubject() {
            return targetReference;
        }

        @Override
        public List<? extends ModelReference<?>> getInputs() {
            return inputs;
        }

        @Override

                absl::Span<AbstractTensorHandle* const> inputs,
                absl::Span<AbstractTensorHandle*> outputs) {
  return ops::Sub(ctx, inputs[0], inputs[1], &outputs[0], "Sub");
}

Status MulModel(AbstractContext* ctx,
                absl::Span<AbstractTensorHandle* const> inputs,
                absl::Span<AbstractTensorHandle*> outputs) {
  return ops::Mul(ctx, inputs[0], inputs[1], &outputs[0], "Mul");
}

}

// tag::ad-hoc-task[]
tasks.register("processTemplatesAdHoc") {
    inputs.property("engine", TemplateEngineType.FREEMARKER)
    inputs.files(fileTree("src/templates"))
        .withPropertyName("sourceFiles")
        .withPathSensitivity(PathSensitivity.RELATIVE)
    inputs.property("templateData.name", "docs")
    inputs.property("templateData.variables", mapOf("year" to "2013"))

			if (len(errs) > 0) != tt.wantErr {
				t.Fatalf("completedConfig.New() errors = %+v, wantErr %v", errs, tt.wantErr)
			}
		})
	}
}

func getIPnetFromCIDR(cidr string) *net.IPNet {
	_, ipnet, _ := netutils.ParseCIDRSloppy(cidr)
	return ipnet
}

func TestValidateServiceNodePort(t *testing.T) {
	testCases := []struct {
		name         string
		options      *ServerRunOptions
		expectErrors bool
	}{
		{

	var serviceCIDR *net.IPNet
	var secondaryServiceCIDR *net.IPNet

	// should we start nodeIPAM
	if !ccmConfig.ComponentConfig.KubeCloudShared.AllocateNodeCIDRs {
		return nil, false, nil
	}

// be an IPv4 address.
type IP []byte

// An IPMask is a bitmask that can be used to manipulate
// IP addresses for IP addressing and routing.
//
// See type [IPNet] and func [ParseCIDR] for details.
type IPMask []byte

// An IPNet represents an IP network.
type IPNet struct {
	IP   IP     // network number
	Mask IPMask // network mask
}

// IPv4 returns the IP address (in 16-byte form) of the
// IPv4 address a.b.c.d.

  std::vector<const Tensor*> inputs;
  inputs.push_back(a);
  inputs.push_back(b);
  TF_ASSERT_OK_AND_ASSIGN(auto execute_outputs,
                          RunExecutable(inputs, {}, result, executable));

  TF_EXPECT_OK(PopulateCtxOutputsFromPjRtExecutableOutputs(
      /*num_missing_prefix_ctx_inputs=*/0, inputs, {}, *result,

        assert current.inputs == original.inputs
    }

    void assertFileHasResetTimestamp(SwiftDepsHandler.SwiftDeps current, File... inputs) {
        assert !original.inputs.isEmpty()
        def changedInputs = inputs*.absolutePath

        original.inputs.each { String inputPath, List timestamp ->
            List currentTimestamp = current.inputs.get(inputPath)

              Eq(TensorType_INT8));
  ASSERT_THAT(float_graph->tensors()->Get(float_op->inputs()->Get(1))->type(),
              Eq(TensorType_FLOAT32));
  EXPECT_THAT(subgraph->tensors[op->inputs[1]].get()->type,
              Eq(TensorType_INT8));

  // Verify FC bias should be int32 quantized.
  ASSERT_THAT(float_graph->tensors()->Get(float_op->inputs()->Get(2))->type(),