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import org.apache.spark.rdd.NewHadoopRDD | |
import org.apache.hadoop.hbase.mapreduce.TableInputFormat | |
import org.apache.hadoop.hbase.HBaseConfiguration | |
import org.apache.hadoop.hbase.client.Result | |
import org.apache.hadoop.hbase.io.ImmutableBytesWritable | |
import scala.collection.JavaConversions._ | |
import scala.collection.JavaConverters._ | |
import org.apache.spark.mllib.recommendation.ALS | |
import org.apache.spark.mllib.recommendation.Rating | |
import scala.collection.mutable.ArrayBuffer |
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import org.apache.spark.rdd.NewHadoopRDD | |
import org.apache.hadoop.hbase.mapreduce.TableInputFormat | |
import org.apache.hadoop.hbase.HBaseConfiguration | |
import org.apache.hadoop.hbase.client.Result | |
import org.apache.hadoop.hbase.io.ImmutableBytesWritable | |
import scala.collection.JavaConversions._ | |
import scala.collection.JavaConverters._ | |
val sc = new SparkContext("local", "Simple App") |
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from pylab import * | |
#create the function q(t) based on the question | |
def q(t): | |
if t < 0: | |
return 0 | |
if t <= 10: | |
return 5 * t | |
if t <= 60: | |
return 60 - t |
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