private final byte[] ctype;

    private static byte[] defaultCtype = new byte[256];

    private final String str;

    private int colno = 0;

    private int ttype = TT_NOTHING;

    private String sval;

    private char[] buf = new char[20];

    private int peekc = NEED_CHAR;

    private byte peekct = 0;

    static {
        setup(defaultCtype);
    }

    /**

#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

// CHECK:           [[VAL_6:%.*]] = call @func_2_GPU_FLOAT([[VAL_4]], [[VAL_5]]) {tac.device = "GPU", tac.inference_type = "FLOAT", tac.interface_name = "func_2"} : (tensor<100xf32>, tensor<100xf32>) -> tensor<2x100xf32>
// CHECK:           return [[VAL_6]] : tensor<2x100xf32>
// CHECK:         }
}

// -----

module {

// PARTIAL:           return %[[VAL_5]] : tensor<1x384x32xf32>
// PARTIAL:         }

// PARTIAL:       func @arg_reuse_test_2(%[[VAL_6:.*]]: tensor<4x384x32xf32>, %[[VAL_7:.*]]: tensor<3xi32>, %[[VAL_8:.*]]: tensor<3xi32>) -> tensor<1x384x32xf32> attributes {tac.interface_name = "func2"} {

		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:

// CHECK:           %[[VAL_6:.*]] = arith.constant dense<[0, 3, 1, 2]> : tensor<4xi32>
// CHECK:           %[[VAL_7:.*]] = "tfl.transpose"(%[[VAL_5]], %[[VAL_6]]) : (tensor<1x4x4x3xf32>, tensor<4xi32>) -> tensor<1x3x4x4xf32>

					LogFormat: &meshconfig.MeshConfig_ExtensionProvider_EnvoyFileAccessLogProvider_LogFormat_Text{
						Text: "%REQ_WITHOUT_QUERY(key1:val1)% REQ_WITHOUT_QUERY(key2:val1)% %METADATA(UPSTREAM_HOST:istio)% %METADATA(CLUSTER:istio)%\n",
					},
				},
			},
		},
	}

	jsonFormattersProvider = &meshconfig.MeshConfig_ExtensionProvider{
		Name: "envoy-json-formatters",

                     "Uses TF Uniform Quantized ops"))};
};

// Check if given indices in `val1` has same number of elements as given
// indices in `val2`.
bool HasEqualElementSize(Value val1, Value val2, ArrayRef<int> val1_indices,
                         ArrayRef<int> val2_indices) {
  ShapedType val1_shape = mlir::cast<ShapedType>(val1.getType());
  ShapedType val2_shape = mlir::cast<ShapedType>(val2.getType());

			return false
		}
		if v1.UnsafePointer() == v2.UnsafePointer() {
			return true
		}
		iter := v1.MapRange()
		for iter.Next() {
			val1 := iter.Value()
			val2 := v2.MapIndex(iter.Key())
			if !val1.IsValid() || !val2.IsValid() || !deepValueEqual(val1, val2, visited) {
				return false
			}
		}
		return true
	case Func:
		if v1.IsNil() && v2.IsNil() {
			return true
		}

// CHECK:           %[[VAL_6:.*]] = tfl.mul %[[VAL_5]], %[[VAL_2]] {fused_activation_function = "RELU6", tac.device = "GPU", tac.inference_type = "FLOAT"} : tensor<1xf32>
// CHECK:           %[[VAL_7:.*]] = tfl.add %[[VAL_0]], %[[VAL_4]] {fused_activation_function = "RELU6", tac.device = "GPU", tac.inference_type = "FLOAT"} : tensor<1xf32>
// CHECK:           return %[[VAL_6]], %[[VAL_7]] : tensor<1xf32>, tensor<1xf32>