// CHECK:           %[[VAL_5:.*]] = "tfl.reshape"(%[[VAL_0]], %[[VAL_2]]) : (tensor<1xf32>, tensor<4xi32>) -> tensor<1x1x1x1xf32>
// CHECK:           %[[VAL_6:.*]] = "tfl.reshape"(%[[VAL_1]], %[[VAL_2]]) : (tensor<1xf32>, tensor<4xi32>) -> tensor<1x1x1x1xf32>
// CHECK:           %[[VAL_7:.*]] = "tfl.concatenation"(%[[VAL_5]], %[[VAL_6]]) <{axis = 3 : i32, fused_activation_function = "NONE"}> : (tensor<1x1x1x1xf32>, tensor<1x1x1x1xf32>) -> tensor<1x1x1x2xf32>

			}
		})
	}

	svals := []S{
		{1, "a"},
		{2, "a"},
		{1, "b"},
		{2, "b"},
	}

	gotMin := MinFunc(svals, cmpS)
	wantMin := S{1, "a"}
	if gotMin != wantMin {
		t.Errorf("MinFunc(%v) = %v, want %v", svals, gotMin, wantMin)
	}

	gotMax := MaxFunc(svals, cmpS)
	wantMax := S{2, "a"}
	if gotMax != wantMax {

# CHECK-DAG:       %[[VAL_2:.*]] = arith.constant dense<[1, 0]> : tensor<2xi32>
# CHECK-DAG:       %[[VAL_3:.*]] = "tfl.no_value"() <{value}> : () -> none
# CHECK-DAG:       %[[VAL_6:.*]] = arith.constant dense<0> : tensor<i32>
# CHECK:           %[[VAL_7:.*]]:2 = "tfl.split"(%[[VAL_6]], %[[VAL_0]]) <{num_splits = 2 : i32}> : (tensor<i32>, tensor<2x5x3xf32>) -> (tensor<1x5x3xf32>, tensor<1x5x3xf32>)

// CHECK:           %[[VAL_15:.*]] = "tf.Div"(%[[VAL_13]], %[[VAL_14]]) : (tensor<2x3xi32>, tensor<3xi32>) -> tensor<2x3xi32>
// CHECK:           %[[VAL_16:.*]] = "tf.Select"(%[[VAL_6]], %[[VAL_7]], %[[VAL_15]]) : (tensor<2x3xi1>, tensor<2x3xi32>, tensor<2x3xi32>) -> tensor<2x3xi32>
// CHECK:           return %[[VAL_16]] : tensor<2x3xi32>
// CHECK:         }
func.func @floordiv_broadcast_i32(%arg0: tensor<2x3xi32>, %arg1: tensor<3xi32>) -> tensor<2x3xi32> {

	return func(i, j int) {
		if uint(i) >= uint(s.Len) || uint(j) >= uint(s.Len) {
			panic("reflect: slice index out of range")
		}
		val1 := arrayAt(s.Data, i, size, "i < s.Len")
		val2 := arrayAt(s.Data, j, size, "j < s.Len")
		typedmemmove(typ, tmp, val1)
		typedmemmove(typ, val1, val2)
		typedmemmove(typ, val2, tmp)
	}

#endif

#if !GTEST_DONT_DEFINE_ASSERT_LE
# define ASSERT_LE(val1, val2) GTEST_ASSERT_LE(val1, val2)
#endif

#if !GTEST_DONT_DEFINE_ASSERT_LT
# define ASSERT_LT(val1, val2) GTEST_ASSERT_LT(val1, val2)
#endif

#if !GTEST_DONT_DEFINE_ASSERT_GE
# define ASSERT_GE(val1, val2) GTEST_ASSERT_GE(val1, val2)
#endif

#if !GTEST_DONT_DEFINE_ASSERT_GT

		case v == nil && sValue != nil:
			check.softErrorf(sValue, InvalidIterVar, "range over %s permits only one iteration variable", &x)
		case sExtra != nil:
			check.softErrorf(sExtra, InvalidIterVar, "range clause permits at most two iteration variables")
		case isFunc && ((k == nil) != (sKey == nil) || (v == nil) != (sValue == nil)):
			var count string
			switch {
			case k == nil:

import spock.lang.Specification

import static org.gradle.internal.buildoption.BuildOptionFixture.*

class ListBuildOptionTest extends Specification {

    private static final List<String> SAMPLE_VALUES = ['val1', 'val2', 'val3']

    def testSettings = new TestSettings()
    def commandLineParser = new CommandLineParser()

    def "can apply from property"() {
        given:

	return func(i, j int) {
		if uint(i) >= uint(s.Len) || uint(j) >= uint(s.Len) {
			panic("reflect: slice index out of range")
		}
		val1 := arrayAt(s.Data, i, size, "i < s.Len")
		val2 := arrayAt(s.Data, j, size, "j < s.Len")
		typedmemmove(typ, tmp, val1)
		typedmemmove(typ, val1, val2)
		typedmemmove(typ, val2, tmp)
	}

        when:
        ModuleComponentSelector result1 = serialize(selector1, serializer)
        ModuleComponentSelector result2 = serialize(selector2, serializer)
        ModuleComponentSelector result3 = serialize(selector3, serializer)

        then:
        result1.attributes == AttributeTestUtil.attributes("foo": "val1")