1.29. C # parameter array

发布时间 :2023-10-12 23:00:07 UTC      

Sometimes, when you declare a method, you cannot determine the number of parameters to pass to the function as arguments. The C # parameter array solves this problem, which is usually used to pass an unknown number of arguments to the function.

1.29.1. Params keyword #

When using arrays as formal parameters, C # provides params keyword, which allows you to pass either an array argument or an array of elements when calling a method with an array of formal parameters. params format of the use is:

Public return type method name (params type name [] array name)

1.29.2. Example #

The following example shows how to use a parameter array:

Example #

using System;
namespace ArrayApplication
{
   class ParamArray
   {
      public int AddElements(params int[] arr)
      {
         int sum = 0;
         foreach (int i in arr)
         {
            sum += i;
         }
         return sum;
      }
   }

   class TestClass
   {
      static void Main(string[] args)
      {
         ParamArray app = new ParamArray();
         int sum = app.AddElements(512, 720, 250, 567, 889);
         Console.WriteLine("The total is: {0}", sum);
         Console.ReadKey();
      }
   }
}

When the above code is compiled and executed, it produces the following results:

The total is: 2938

Principles, Technologies, and Methods of Geographic Information Systems  102

In recent years, Geographic Information Systems (GIS) have undergone rapid development in both theoretical and practical dimensions. GIS has been widely applied for modeling and decision-making support across various fields such as urban management, regional planning, and environmental remediation, establishing geographic information as a vital component of the information era. The introduction of the “Digital Earth” concept has further accelerated the advancement of GIS, which serves as its technical foundation. Concurrently, scholars have been dedicated to theoretical research in areas like spatial cognition, spatial data uncertainty, and the formalization of spatial relationships. This reflects the dual nature of GIS as both an applied technology and an academic discipline, with the two aspects forming a mutually reinforcing cycle of progress.