Update deriv.v

deriv/deriv.v

@@ -1,6 +1,7 @@
 module deriv
 
 import vsl.func
+import vsl.errors
 import vsl.internal.prec
 import math
 
@@ -114,20 +115,21 @@ pub fn backward(f func.Fn, x f64, h f64) (f64, f64) {
 	return forward(f, x, -h)
 }
 
+/**
+* partial is a function that computes the partial derivative of a multivariable function with respect to a specified variable.
+*
+* @param f       The multivariable function for which the partial derivative is to be computed.
+* @param x       The point at which the partial derivative is to be computed, represented as an array of coordinates.
+* @param variable The index of the variable with respect to which the partial derivative is to be computed.
+* @param h       The step size to be used in the central difference method.
+*
+* @return        A tuple containing the value of the partial derivative and the estimated error.
+*/
 pub fn partial(f fn ([]f64) f64, x []f64, variable int, h f64) (f64, f64) {
-	/**
-     * partial is a function that computes the partial derivative of a multivariable function with respect to a specified variable.
-     *
-     * @param f       The multivariable function for which the partial derivative is to be computed.
-     * @param x       The point at which the partial derivative is to be computed, represented as an array of coordinates.
-     * @param variable The index of the variable with respect to which the partial derivative is to be computed.
-     * @param h       The step size to be used in the central difference method.
-     *
-     * @return        A tuple containing the value of the partial derivative and the estimated error.
-    */
+
 
 	if variable < 0 || variable >= x.len {
-		panic('Invalid variable index')
+		errors.vsl_panic('Invalid variable index', .efailed)
 	}
 
 	// Define a helper function that converts the multivariate function