}

TEST_F(CWiseUnaryGradTest, Sign) {
  auto x_fn = [this](const int i) { return RV({-1, 1, -2, 2, -3, 3}); };
  TestCWiseGrad<float, float>(SIGN, x_fn);
}

TEST_F(CWiseUnaryGradTest, Sin) {
  auto x_fn = [this](const int i) { return RV({0, -1, 1, -2, 2, -3, 3}); };
  TestCWiseGrad<float, float>(SIN, x_fn);
}

TEST_F(CWiseUnaryGradTest, Sin_Complex) {
  auto x_fn = [this](const int i) {

    //               = x_n y_n - X_n y_n - x_n Y_{n-1} + X_n Y_{n-1}
    //               = (x_n - X_n) (y_n - Y_{n-1})
    xStats.add(x);
    if (isFinite(x) && isFinite(y)) {
      if (xStats.count() > 1) {
        sumOfProductsOfDeltas += (x - xStats.mean()) * (y - yStats.mean());
      }
    } else {
      sumOfProductsOfDeltas = NaN;
    }
    yStats.add(y);
  }

  /**

      (TF_Conv2DOp $input, $filter, $strides, $use_cudnn_on_gpu, $padding,
        $explicit_paddings, IsDataFormatNHWC:$data_format, $dilations)),
    (LiftAsTFPartitionedCall<"composite_conv2d_with_"# ActivationName #"_fn">
      (ArgumentList $input, $filter),
      (ResultList $res),
      (NamedAttributeList
        (NamedAttr<"strides"> $strides),
        (NamedAttr<"use_cudnn_on_gpu"> $use_cudnn_on_gpu),

    //               = x_n y_n - X_n y_n - x_n Y_{n-1} + X_n Y_{n-1}
    //               = (x_n - X_n) (y_n - Y_{n-1})
    xStats.add(x);
    if (isFinite(x) && isFinite(y)) {
      if (xStats.count() > 1) {
        sumOfProductsOfDeltas += (x - xStats.mean()) * (y - yStats.mean());
      }
    } else {
      sumOfProductsOfDeltas = NaN;
    }
    yStats.add(y);
  }

  /**

	// of a big.Float operation.
	t := new(big.Float)

	// Iterate.
	for i := 0; i <= steps; i++ {
		t.Quo(two, x)  // t = 2.0 / x_n
		t.Add(x, t)    // t = x_n + (2.0 / x_n)
		x.Mul(half, t) // x_{n+1} = 0.5 * t
	}

	// We can use the usual fmt.Printf verbs since big.Float implements fmt.Formatter
	fmt.Printf("sqrt(2) = %.50f\n", x)

		s = strings.Replace(s, "X_f", "MKPOSTSYSINFOTF", 1)

		// Replace other unwanted fields with blank identifiers.
		re = regexp.MustCompile("X_[A-Za-z0-9_]*")
		s = re.ReplaceAllString(s, "_")

		// Restore preserved fields.
		s = strings.Replace(s, "MKPOSTFSIDVAL", "X__val", 1)
		s = strings.Replace(s, "MKPOSTIFIPAD", "X__ifi_pad", 1)
		s = strings.Replace(s, "MKPOSTSYSINFOTF", "X_f", 1)

  while True:
    func_match = re.search(compiled_regex, module)
    if func_match is None:
      break

    text = func_match.group(1)
    function_name = 'internal_{}_fn'.format(_format_snake_case_op_name(text))
    module = re.sub(compiled_regex, function_name, module, count=1)
  return module


def _substitute_quantized_function_name_template(module: str) -> str:

				settings = $.extend(true, {}, settings, s);
			};
		},
		_fn : { },
		plugin : function (pname, pdata) {
			pdata = $.extend({}, {
				__init		: $.noop,
				__destroy	: $.noop,
				_fn			: {},
				defaults	: false
			}, pdata);
			plugins[pname] = pdata;

			$.jstree.defaults[pname] = pdata.defaults;
			$.each(pdata._fn, function (i, val) {
				val.plugin		= pname;
				val.old			= $.jstree._fn[i];

// Function template can generate functions with different parameters. Ex:
// ```
// parameters[
//   {"key1": "value11", "key2": "value21"},
//   {"key1": "value12", "key2": "value22"},
// ]
// func.func func_name_${key1}_fn (...) {
//   ...${key2}...
// }
// ```
// The above template with generate two functions by substituting `key1` and
// `key2` with given values.

module {

  func.func private @internal_dequantize_f32(

	Sharedram uint64
	Bufferram uint64
	Totalswap uint64
	Freeswap  uint64
	Procs     uint16
	Pad       uint16
	Pad_cgo_0 [4]byte
	Totalhigh uint64
	Freehigh  uint64
	Unit      uint32
	X_f       [0]uint8
	Pad_cgo_1 [4]byte
}

type Utsname struct {
	Sysname    [65]uint8
	Nodename   [65]uint8
	Release    [65]uint8
	Version    [65]uint8
	Machine    [65]uint8
	Domainname [65]uint8
}