8.10. Scala cycle

发布时间 :2023-11-13 23:00:02 UTC      

Sometimes, we may need to execute the same piece of code multiple times. In general, statements are executed sequentially: the first statement in the function is executed first, then the second statement, and so on.

Programming languages provide a variety of control structures for more complex execution paths.

Loop statements allow us to execute a statement or group of statements multiple times. Here is a flowchart of loop statements in most programming languages:

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8.10.1. Cycle type #

The Scala language provides the following loop types. Click the link to viewthe details of each type.

Cycle type

Description

While cycle

Run a series of statements that, if the condition is true, run repeatedly until the condition becomes false.

Do…while cycle

A similar while statement differs from a block of code that executes a loop before determining a loop condition.

for cycle

Used to repeat a series of statements until specific conditions are met, usually by increasing the value of the counter after each loop is completed.

8.10.2. Loop control statement #

Loop control statements change the order in which your code is executed, through which you can jump the code. Scala has the following loop control statements:

Scala does not support break or continue statement, but a way to break the loop has been provided since version 2.8. Click the link below fordetails.

Control statement

Description

Break statement

Break cycle

8.10.3. Infinite cycle #

If the condition is always the true loop becomes an infinite loop We can use it. while statement to implement an infinite loop:

Example #

object Test {
   def main(args: Array[String]) {
      var a = 10;
      // Infinite loop
      while( true ){
         println( "The value of a is : " + a );
      }
   }
}

The post-execution loop of the above code will be executed forever, and you can use the Ctrl + C key to break the infinite loop.

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.

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