if(exp) { println("Line one") println("Line two")}Scala中的if/else在Java中的行为类似于三元运算符:vali:Int=if(exp)1else3并且表达式的任一(或两者)部分可以具有如下面代码中所示的多行代码块。vali:Int=if(exp)1else{valj =System.currentTimeMillis (j %100L).toInt } 3、for循环# A For C...
println("Line one") println("Line two") } Scala中的if/else在Java中的行为类似于三元运算符: val i: Int = if (exp) 1 else 3 并且表达式的任一(或两者)部分可以具有如下面代码中所示的多行代码块。 val i: Int = if (exp) 1 else { val j = System.currentTimeMillis (j % 100L).toInt...
它是Java中的switch语句的升级版,同样可以用于替代一系列的 if/else 语句,以下介绍几种常用的模式匹配:常量模式、变量模式、通配符模式。 常量模式 常量模式匹配,就是在模式匹配中匹配常量。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 object ConstantPattern{ def main(args:Array[String]) :Unit = { ...
模式守卫 为了让匹配更加具体,可以使用模式守卫,也就是在模式后面加上if判断语句。 object ConstantPattern{ def main(args:Array[String]) :Unit = { //模式匹配结果作为函数返回值 def patternShow(x : Any) = x match { //模式守卫 case x if(x == 5) => "守卫" //通配符模式 case _ => "通配...
scala> val multiline=| "try multiple line"multiline: String = try multiple linescala> println(multiline)try multiple line 在 Scala 里，定义方法采用 def 标示符，示例代码如清单 11 所示。清单 11. 定义方法 scala> def max(x: Int, y: Int): Int = if(x < y) y else xmax: (x: Int, ...
def do else extends false final finally for forSome if implicit import lazy match new null object override package private protected return sealed super this throw trait try true type val var while with yield - : = => <- <: <% >: ...
import scala.io.Source if (args.length >0 ){ for( line <- Source.fromFile(args(0)).getLines()) println(line.length + " " + line) } else Console.err.println("Please enter filename")可以看到 Scala 引入包的方式和 Java 类似,也是通过 import 语句。文件相关的类定义在 scala.io 包中。
port" # Leave as empty if the node is supposed to be joined manually. seed-nodes = [] # how long to wait for one of the seed nodes to reply to initial join request seed-node-timeout = 5s # If a join request fails it will be retried after this period. # Disable join retry by...
/** This is a correct one-liner, short description. */ /** * This is correct multi-line JavaDoc comment. And * this is my second line, and if I keep typing, this would be * my third line. */ /** In Spark, we don't use the ScalaDoc style so this * is not correct. */...
If you're using SBT, add the following line to your build file: libraryDependencies += "org.scalaz" %% "scalaz-core" % "7.3.8" For Maven and other build tools, you can visit search.maven.org. (This search will also list all available modules of scalaz.) To get sample configurations...