Don't use floats

tdas · Apr 5, 2014 · 2f706f1 · 2f706f1
1 parent 542a736
commit 2f706f1
Show file tree

Hide file tree

Showing 23 changed files with 54 additions and 54 deletions.
diff --git a/core/src/main/scala/org/apache/spark/Aggregator.scala b/core/src/main/scala/org/apache/spark/Aggregator.scala
@@ -20,7 +20,7 @@ package org.apache.spark
 import org.apache.spark.util.collection.{AppendOnlyMap, ExternalAppendOnlyMap}
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * A set of functions used to aggregate data.
  *

diff --git a/core/src/main/scala/org/apache/spark/Dependency.scala b/core/src/main/scala/org/apache/spark/Dependency.scala
@@ -21,15 +21,15 @@ import org.apache.spark.rdd.RDD
 import org.apache.spark.serializer.Serializer
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * Base class for dependencies.
  */
 abstract class Dependency[T](val rdd: RDD[T]) extends Serializable
 
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * Base class for dependencies where each partition of the parent RDD is used by at most one
  * partition of the child RDD.  Narrow dependencies allow for pipelined execution.
@@ -45,7 +45,7 @@ abstract class NarrowDependency[T](rdd: RDD[T]) extends Dependency(rdd) {
 
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * Represents a dependency on the output of a shuffle stage.
  * @param rdd the parent RDD
@@ -65,7 +65,7 @@ class ShuffleDependency[K, V](
 
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * Represents a one-to-one dependency between partitions of the parent and child RDDs.
  */
@@ -75,7 +75,7 @@ class OneToOneDependency[T](rdd: RDD[T]) extends NarrowDependency[T](rdd) {
 
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * Represents a one-to-one dependency between ranges of partitions in the parent and child RDDs.
  * @param rdd the parent RDD

diff --git a/core/src/main/scala/org/apache/spark/FutureAction.scala b/core/src/main/scala/org/apache/spark/FutureAction.scala
@@ -25,7 +25,7 @@ import org.apache.spark.rdd.RDD
 import org.apache.spark.scheduler.{JobFailed, JobSucceeded, JobWaiter}
 
 /**
- * <span class="badge badge-red" style="float: right;">EXPERIMENTAL API</span>
+ * <span class="badge badge-red">EXPERIMENTAL API</span>
  *
  * A future for the result of an action to support cancellation. This is an extension of the
  * Scala Future interface to support cancellation.
@@ -150,7 +150,7 @@ class SimpleFutureAction[T] private[spark](jobWaiter: JobWaiter[_], resultFunc:
 
 
 /**
- * <span class="badge badge-red" style="float: right;">EXPERIMENTAL API</span>
+ * <span class="badge badge-red">EXPERIMENTAL API</span>
  *
  * A [[FutureAction]] for actions that could trigger multiple Spark jobs. Examples include take,
  * takeSample. Cancellation works by setting the cancelled flag to true and interrupting the

diff --git a/core/src/main/scala/org/apache/spark/TaskContext.scala b/core/src/main/scala/org/apache/spark/TaskContext.scala
@@ -22,7 +22,7 @@ import scala.collection.mutable.ArrayBuffer
 import org.apache.spark.executor.TaskMetrics
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * Contextual information about a task which can be read or mutated during execution.
  */

diff --git a/core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala b/core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala
@@ -20,7 +20,7 @@ package org.apache.spark.executor
 import org.apache.spark.storage.{BlockId, BlockStatus}
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * Metrics tracked during the execution of a task.
  */
@@ -88,7 +88,7 @@ object TaskMetrics {
 
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * Metrics pertaining to shuffle data read in a given task.
  */
@@ -127,7 +127,7 @@ class ShuffleReadMetrics extends Serializable {
 }
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * Metrics pertaining to shuffle data written in a given task.
  */

diff --git a/core/src/main/scala/org/apache/spark/io/CompressionCodec.scala b/core/src/main/scala/org/apache/spark/io/CompressionCodec.scala
@@ -25,7 +25,7 @@ import org.xerial.snappy.{SnappyInputStream, SnappyOutputStream}
 import org.apache.spark.SparkConf
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * CompressionCodec allows the customization of choosing different compression implementations
  * to be used in block storage.
@@ -58,7 +58,7 @@ private[spark] object CompressionCodec {
 
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * LZF implementation of [[org.apache.spark.io.CompressionCodec]].
  *
@@ -77,7 +77,7 @@ class LZFCompressionCodec(conf: SparkConf) extends CompressionCodec {
 
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * Snappy implementation of [[org.apache.spark.io.CompressionCodec]].
  * Block size can be configured by spark.io.compression.snappy.block.size.

diff --git a/core/src/main/scala/org/apache/spark/partial/BoundedDouble.scala b/core/src/main/scala/org/apache/spark/partial/BoundedDouble.scala
@@ -18,7 +18,7 @@
 package org.apache.spark.partial
 
 /**
- * <span class="badge badge-red" style="float: right;">EXPERIMENTAL API</span>
+ * <span class="badge badge-red">EXPERIMENTAL API</span>
  *
  * A Double value with error bars and associated confidence.
  */

diff --git a/core/src/main/scala/org/apache/spark/partial/PartialResult.scala b/core/src/main/scala/org/apache/spark/partial/PartialResult.scala
@@ -18,7 +18,7 @@
 package org.apache.spark.partial
 
 /**
- * <span class="badge badge-red" style="float: right;">EXPERIMENTAL API</span>
+ * <span class="badge badge-red">EXPERIMENTAL API</span>
  */
 class PartialResult[R](initialVal: R, isFinal: Boolean) {
   private var finalValue: Option[R] = if (isFinal) Some(initialVal) else None

diff --git a/core/src/main/scala/org/apache/spark/rdd/AsyncRDDActions.scala b/core/src/main/scala/org/apache/spark/rdd/AsyncRDDActions.scala
@@ -26,7 +26,7 @@ import scala.reflect.ClassTag
 import org.apache.spark.{ComplexFutureAction, FutureAction, Logging}
 
 /**
- * <span class="badge badge-red" style="float: right;">EXPERIMENTAL API</span>
+ * <span class="badge badge-red">EXPERIMENTAL API</span>
  *
  * A set of asynchronous RDD actions available through an implicit conversion.
  * Import `org.apache.spark.SparkContext._` at the top of your program to use these functions.

diff --git a/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala b/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala
@@ -70,7 +70,7 @@ private[spark] class HadoopPartition(rddId: Int, idx: Int, @transient s: InputSp
 }
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * An RDD that provides core functionality for reading data stored in Hadoop (e.g., files in HDFS,
  * sources in HBase, or S3), using the older MapReduce API (`org.apache.hadoop.mapred`).

diff --git a/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala b/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala
@@ -36,7 +36,7 @@ class NewHadoopPartition(rddId: Int, val index: Int, @transient rawSplit: InputS
 }
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * An RDD that provides core functionality for reading data stored in Hadoop (e.g., files in HDFS,
  * sources in HBase, or S3), using the new MapReduce API (`org.apache.hadoop.mapreduce`).

diff --git a/core/src/main/scala/org/apache/spark/rdd/PartitionPruningRDD.scala b/core/src/main/scala/org/apache/spark/rdd/PartitionPruningRDD.scala
@@ -46,7 +46,7 @@ private[spark] class PruneDependency[T](rdd: RDD[T], @transient partitionFilterF
 
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * A RDD used to prune RDD partitions/partitions so we can avoid launching tasks on
  * all partitions. An example use case: If we know the RDD is partitioned by range,
@@ -67,7 +67,7 @@ class PartitionPruningRDD[T: ClassTag](
 
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  */
 object PartitionPruningRDD {
 

diff --git a/core/src/main/scala/org/apache/spark/rdd/ShuffledRDD.scala b/core/src/main/scala/org/apache/spark/rdd/ShuffledRDD.scala
@@ -28,7 +28,7 @@ private[spark] class ShuffledRDDPartition(val idx: Int) extends Partition {
 }
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * The resulting RDD from a shuffle (e.g. repartitioning of data).
  * @param prev the parent RDD.

diff --git a/core/src/main/scala/org/apache/spark/scheduler/SparkListener.scala b/core/src/main/scala/org/apache/spark/scheduler/SparkListener.scala
@@ -27,23 +27,23 @@ import org.apache.spark.executor.TaskMetrics
 import org.apache.spark.storage.BlockManagerId
 import org.apache.spark.util.{Distribution, Utils}
 
-/** <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span> */
+/** <span class="badge badge-red">DEVELOPER API - UNSTABLE</span> */
 sealed trait SparkListenerEvent
 
-/** <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span> */
+/** <span class="badge badge-red">DEVELOPER API - UNSTABLE</span> */
 case class SparkListenerStageSubmitted(stageInfo: StageInfo, properties: Properties = null)
   extends SparkListenerEvent
 
-/** <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span> */
+/** <span class="badge badge-red">DEVELOPER API - UNSTABLE</span> */
 case class SparkListenerStageCompleted(stageInfo: StageInfo) extends SparkListenerEvent
 
-/** <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span> */
+/** <span class="badge badge-red">DEVELOPER API - UNSTABLE</span> */
 case class SparkListenerTaskStart(stageId: Int, taskInfo: TaskInfo) extends SparkListenerEvent
 
-/** <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span> */
+/** <span class="badge badge-red">DEVELOPER API - UNSTABLE</span> */
 case class SparkListenerTaskGettingResult(taskInfo: TaskInfo) extends SparkListenerEvent
 
-/** <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span> */
+/** <span class="badge badge-red">DEVELOPER API - UNSTABLE</span> */
 case class SparkListenerTaskEnd(
     stageId: Int,
     taskType: String,
@@ -52,34 +52,34 @@ case class SparkListenerTaskEnd(
     taskMetrics: TaskMetrics)
   extends SparkListenerEvent
 
-/** <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span> */
+/** <span class="badge badge-red">DEVELOPER API - UNSTABLE</span> */
 case class SparkListenerJobStart(jobId: Int, stageIds: Seq[Int], properties: Properties = null)
   extends SparkListenerEvent
 
-/** <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span> */
+/** <span class="badge badge-red">DEVELOPER API - UNSTABLE</span> */
 case class SparkListenerJobEnd(jobId: Int, jobResult: JobResult) extends SparkListenerEvent
 
-/** <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span> */
+/** <span class="badge badge-red">DEVELOPER API - UNSTABLE</span> */
 case class SparkListenerEnvironmentUpdate(environmentDetails: Map[String, Seq[(String, String)]])
   extends SparkListenerEvent
 
-/** <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span> */
+/** <span class="badge badge-red">DEVELOPER API - UNSTABLE</span> */
 case class SparkListenerBlockManagerAdded(blockManagerId: BlockManagerId, maxMem: Long)
   extends SparkListenerEvent
 
-/** <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span> */
+/** <span class="badge badge-red">DEVELOPER API - UNSTABLE</span> */
 case class SparkListenerBlockManagerRemoved(blockManagerId: BlockManagerId)
   extends SparkListenerEvent
 
-/** <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span> */
+/** <span class="badge badge-red">DEVELOPER API - UNSTABLE</span> */
 case class SparkListenerUnpersistRDD(rddId: Int) extends SparkListenerEvent
 
 /** An event used in the listener to shutdown the listener daemon thread. */
 private[spark] case object SparkListenerShutdown extends SparkListenerEvent
 
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * Interface for listening to events from the Spark scheduler. Note that this is an internal
  * interface which might change in different Spark releases.
@@ -143,7 +143,7 @@ trait SparkListener {
 }
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * Simple SparkListener that logs a few summary statistics when each stage completes
  */

diff --git a/core/src/main/scala/org/apache/spark/serializer/JavaSerializer.scala b/core/src/main/scala/org/apache/spark/serializer/JavaSerializer.scala
@@ -94,7 +94,7 @@ private[spark] class JavaSerializerInstance(counterReset: Int) extends Serialize
 }
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * A Spark serializer that uses Java's built-in serialization.
  *

diff --git a/core/src/main/scala/org/apache/spark/serializer/Serializer.scala b/core/src/main/scala/org/apache/spark/serializer/Serializer.scala
@@ -26,7 +26,7 @@ import org.apache.spark.util.{ByteBufferInputStream, NextIterator}
 import org.apache.spark.SparkEnv
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * A serializer. Because some serialization libraries are not thread safe, this class is used to
  * create [[org.apache.spark.serializer.SerializerInstance]] objects that do the actual
@@ -55,7 +55,7 @@ object Serializer {
 
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * An instance of a serializer, for use by one thread at a time.
  */
@@ -89,7 +89,7 @@ trait SerializerInstance {
 
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * A stream for writing serialized objects.
  */
@@ -108,7 +108,7 @@ trait SerializationStream {
 
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * A stream for reading serialized objects.
  */

diff --git a/core/src/main/scala/org/apache/spark/util/BoundedPriorityQueue.scala b/core/src/main/scala/org/apache/spark/util/BoundedPriorityQueue.scala
@@ -24,7 +24,7 @@ import scala.collection.JavaConverters._
 import scala.collection.generic.Growable
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * Bounded priority queue. This class wraps the original PriorityQueue
  * class and modifies it such that only the top K elements are retained.

diff --git a/core/src/main/scala/org/apache/spark/util/MutablePair.scala b/core/src/main/scala/org/apache/spark/util/MutablePair.scala
@@ -18,7 +18,7 @@
 package org.apache.spark.util
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * A tuple of 2 elements. This can be used as an alternative to Scala's Tuple2 when we want to
  * minimize object allocation.

diff --git a/core/src/main/scala/org/apache/spark/util/random/Pseudorandom.scala b/core/src/main/scala/org/apache/spark/util/random/Pseudorandom.scala
@@ -18,7 +18,7 @@
 package org.apache.spark.util.random
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * A class with pseudorandom behavior.
  */

diff --git a/core/src/main/scala/org/apache/spark/util/random/RandomSampler.scala b/core/src/main/scala/org/apache/spark/util/random/RandomSampler.scala
@@ -23,7 +23,7 @@ import cern.jet.random.Poisson
 import cern.jet.random.engine.DRand
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * A pseudorandom sampler. It is possible to change the sampled item type. For example, we might
  * want to add weights for stratified sampling or importance sampling. Should only use
@@ -42,7 +42,7 @@ trait RandomSampler[T, U] extends Pseudorandom with Cloneable with Serializable
 }
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * A sampler based on Bernoulli trials.
  *
@@ -71,7 +71,7 @@ class BernoulliSampler[T](lb: Double, ub: Double, complement: Boolean = false)
 }
 
 /**
- * <span class="badge badge-red" style="float: right;">DEVELOPER API - UNSTABLE</span>
+ * <span class="badge badge-red">DEVELOPER API - UNSTABLE</span>
  *
  * A sampler based on values drawn from Poisson distribution.
  *

diff --git a/graphx/src/main/scala/org/apache/spark/graphx/package.scala b/graphx/src/main/scala/org/apache/spark/graphx/package.scala
@@ -20,7 +20,7 @@ package org.apache.spark
 import org.apache.spark.util.collection.OpenHashSet
 
 /**
- * <span class="badge badge-red" style="float: right;">ALPHA COMPONENT</span>
+ * <span class="badge badge-red">ALPHA COMPONENT</span>
  *
  * GraphX is a graph processing framework built on top of Spark. */
 package object graphx {