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SnappyData distributed data store and execution engine
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
// scalastyle:off println
package org.apache.spark.examples
import scala.math.random
import org.apache.spark._
import org.apache.spark.SparkContext._
object LocalPi {
def main(args: Array[String]) {
var count = 0
for (i <- 1 to 100000) {
val x = random * 2 - 1
val y = random * 2 - 1
if (x*x + y*y < 1) count += 1
}
println("Pi is roughly " + 4 * count / 100000.0)
}
}
// scalastyle:on println
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