#ifndef HANDLE_TF_REF_TYPE
#define HANDLE_TF_REF_TYPE(class, enumerant, name) \
  HANDLE_TF_TYPE(class, enumerant, name)
#endif
HANDLE_TF_REF_TYPE(FloatRef, FLOAT_REF, "f32ref")
HANDLE_TF_REF_TYPE(DoubleRef, DOUBLE_REF, "f64ref")
HANDLE_TF_REF_TYPE(Uint4Ref, UINT4_REF, "uint4ref")
HANDLE_TF_REF_TYPE(Int4Ref, INT4_REF, "int4ref")
HANDLE_TF_REF_TYPE(Uint8Ref, UINT8_REF, "uint8ref")

	"I64LtS",
	"I64LtU",
	"I64GtS",
	"I64GtU",
	"I64LeS",
	"I64LeU",
	"I64GeS",
	"I64GeU",
	"F32Eq",
	"F32Ne",
	"F32Lt",
	"F32Gt",
	"F32Le",
	"F32Ge",
	"F64Eq",
	"F64Ne",
	"F64Lt",
	"F64Gt",
	"F64Le",
	"F64Ge",
	"I32Clz",
	"I32Ctz",
	"I32Popcnt",
	"I32Add",
	"I32Sub",
	"I32Mul",
	"I32DivS",
	"I32DivU",
	"I32RemS",
	"I32RemU",
	"I32And",
	"I32Or",
	"I32Xor",

      %outputs_0, %control_1 = tf_executor.island wraps "tf.Identity"(%outputs) {device = "/job:localhost/replica:0/task:0/device:CPU:0"} : (tensor<!tf_type.f32ref>) -> tensor<*xf32>
      tf_executor.fetch %outputs_0 : tensor<*xf32>
    }
    func.return %0 : tensor<*xf32>
  }

		I64Const $-1
		I64Eq
		If
			I64Const $-0x8000000000000000
			Return
		End
	End
	Get R0
	Get R1
	I64DivS
	Return

TEXT runtime·wasmTruncS(SB), NOSPLIT, $0-0
	Get R0
	Get R0
	F64Ne // NaN
	If
		I64Const $0x8000000000000000
		Return
	End

	Get R0
	F64Const $0x7ffffffffffffc00p0 // Maximum truncated representation of 0x7fffffffffffffff
	F64Gt
	If
		I64Const $0x8000000000000000

        }
        return currentChapterFileName;
    }

    // The media query indicating that a device is a desktop.
    // The `min-width: 64rem` definition should be aligned to
    // the one of `css/manual.css`.
    const desktopMediaQuery = window.matchMedia("screen and (min-width: 64rem)");