573 files changed, 4819 insertions, 2840 deletions

diff --git a/LICENSE b/LICENSE
index d645695673..1c166d1333 100644
--- a/LICENSE
+++ b/LICENSE
@@ -200,3 +200,199 @@
    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.
+
+
+=======================================================================
+Apache Spark Subcomponents:
+
+The Apache Spark project contains subcomponents with separate copyright
+notices and license terms. Your use of the source code for the these
+subcomponents is subject to the terms and conditions of the following
+licenses.
+
+
+=======================================================================
+For the Boto EC2 library (ec2/third_party/boto*.zip):
+=======================================================================
+
+Copyright (c) 2006-2008 Mitch Garnaat http://garnaat.org/
+
+Permission is hereby granted, free of charge, to any person obtaining a
+copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish, dis-
+tribute, sublicense, and/or sell copies of the Software, and to permit
+persons to whom the Software is furnished to do so, subject to the fol-
+lowing conditions:
+
+The above copyright notice and this permission notice shall be included
+in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
+OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABIL-
+ITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
+SHALL THE AUTHOR BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, 
+WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
+IN THE SOFTWARE.
+
+
+========================================================================
+For CloudPickle (pyspark/cloudpickle.py):
+========================================================================
+
+Copyright (c) 2012, Regents of the University of California.
+Copyright (c) 2009 `PiCloud, Inc. <http://www.picloud.com>`_.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions
+are met:
+    * Redistributions of source code must retain the above copyright
+      notice, this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above copyright
+      notice, this list of conditions and the following disclaimer in the
+      documentation and/or other materials provided with the distribution.
+    * Neither the name of the University of California, Berkeley nor the
+      names of its contributors may be used to endorse or promote
+      products derived from this software without specific prior written
+      permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
+TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+========================================================================
+For Py4J (python/lib/py4j0.7.egg and files in assembly/lib/net/sf/py4j):
+========================================================================
+
+Copyright (c) 2009-2011, Barthelemy Dagenais All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+- Redistributions of source code must retain the above copyright notice, this
+list of conditions and the following disclaimer.
+
+- Redistributions in binary form must reproduce the above copyright notice,
+this list of conditions and the following disclaimer in the documentation
+and/or other materials provided with the distribution.
+
+- The name of the author may not be used to endorse or promote products
+derived from this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
+LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+POSSIBILITY OF SUCH DAMAGE.
+
+
+========================================================================
+For DPark join code (python/pyspark/join.py):
+========================================================================
+
+Copyright (c) 2011, Douban Inc. <http://www.douban.com/>
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+    * Redistributions of source code must retain the above copyright
+notice, this list of conditions and the following disclaimer.
+
+    * Redistributions in binary form must reproduce the above
+copyright notice, this list of conditions and the following disclaimer
+in the documentation and/or other materials provided with the
+distribution.
+
+    * Neither the name of the Douban Inc. nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+========================================================================
+For sorttable (core/src/main/resources/org/apache/spark/ui/static/sorttable.js):
+========================================================================
+
+Copyright (c) 1997-2007 Stuart Langridge
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
+
+
+========================================================================
+For Scala Interpreter classes (all .scala files in repl/src/main/scala
+except for Main.Scala, SparkHelper.scala and ExecutorClassLoader.scala):
+========================================================================
+
+Copyright (c) 2002-2013 EPFL
+Copyright (c) 2011-2013 Typesafe, Inc.
+
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+- Redistributions of source code must retain the above copyright notice,
+  this list of conditions and the following disclaimer.
+
+- Redistributions in binary form must reproduce the above copyright notice,
+  this list of conditions and the following disclaimer in the documentation
+  and/or other materials provided with the distribution.
+
+- Neither the name of the EPFL nor the names of its contributors may be
+  used to endorse or promote products derived from this software without
+  specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
+LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+POSSIBILITY OF SUCH DAMAGE.
diff --git a/README.md b/README.md
index 89b5a0abfd..ca1d66d80d 100644
--- a/README.md
+++ b/README.md
@@ -1,12 +1,12 @@
-# Spark
+# Apache Spark
 
-Lightning-Fast Cluster Computing - <http://www.spark-project.org/>
+Lightning-Fast Cluster Computing - <http://spark.incubator.apache.org/>
 
 
 ## Online Documentation
 
 You can find the latest Spark documentation, including a programming
-guide, on the project webpage at <http://spark-project.org/documentation.html>.
+guide, on the project webpage at <http://spark.incubator.apache.org/documentation.html>.
 This README file only contains basic setup instructions.
 
 
@@ -18,24 +18,22 @@ Spark and its example programs, run:
 
     sbt/sbt assembly
 
-Spark also supports building using Maven. If you would like to build using Maven,
-see the [instructions for building Spark with Maven](http://spark-project.org/docs/latest/building-with-maven.html)
-in the Spark documentation..
+Once you've built Spark, the easiest way to start using it is the shell:
 
-To run Spark, you will need to have Scala's bin directory in your `PATH`, or
-you will need to set the `SCALA_HOME` environment variable to point to where
-you've installed Scala. Scala must be accessible through one of these
-methods on your cluster's worker nodes as well as its master.
+    ./spark-shell
 
-To run one of the examples, use `./run-example <class> <params>`. For example:
+Or, for the Python API, the Python shell (`./pyspark`).
 
-    ./run-example spark.examples.SparkLR local[2]
+Spark also comes with several sample programs in the `examples` directory.
+To run one of them, use `./run-example <class> <params>`. For example:
+
+    ./run-example org.apache.spark.examples.SparkLR local[2]
 
 will run the Logistic Regression example locally on 2 CPUs.
 
 Each of the example programs prints usage help if no params are given.
 
-All of the Spark samples take a `<host>` parameter that is the cluster URL
+All of the Spark samples take a `<master>` parameter that is the cluster URL
 to connect to. This can be a mesos:// or spark:// URL, or "local" to run
 locally with one thread, or "local[N]" to run locally with N threads.
 
@@ -58,13 +56,13 @@ versions without YARN, use:
     $ SPARK_HADOOP_VERSION=2.0.0-mr1-cdh4.2.0 sbt/sbt assembly
 
 For Apache Hadoop 2.x, 0.23.x, Cloudera CDH MRv2, and other Hadoop versions
-with YARN, also set `SPARK_WITH_YARN=true`:
+with YARN, also set `SPARK_YARN=true`:
 
     # Apache Hadoop 2.0.5-alpha
-    $ SPARK_HADOOP_VERSION=2.0.5-alpha SPARK_WITH_YARN=true sbt/sbt assembly
+    $ SPARK_HADOOP_VERSION=2.0.5-alpha SPARK_YARN=true sbt/sbt assembly
 
     # Cloudera CDH 4.2.0 with MapReduce v2
-    $ SPARK_HADOOP_VERSION=2.0.0-cdh4.2.0 SPARK_WITH_YARN=true sbt/sbt assembly
+    $ SPARK_HADOOP_VERSION=2.0.0-cdh4.2.0 SPARK_YARN=true sbt/sbt assembly
 
 For convenience, these variables may also be set through the `conf/spark-env.sh` file
 described below.
@@ -81,22 +79,25 @@ If your project is built with Maven, add this to your POM file's `<dependencies>
     <dependency>
       <groupId>org.apache.hadoop</groupId>
       <artifactId>hadoop-client</artifactId>
-      <!-- the brackets are needed to tell Maven that this is a hard dependency on version "1.2.1" exactly -->
-      <version>[1.2.1]</version>
+      <version>1.2.1</version>
     </dependency>
 
 
 ## Configuration
 
-Please refer to the "Configuration" guide in the online documentation for a
-full overview on how to configure Spark. At the minimum, you will need to
-create a `conf/spark-env.sh` script (copy `conf/spark-env.sh.template`) and
-set the following two variables:
+Please refer to the [Configuration guide](http://spark.incubator.apache.org/docs/latest/configuration.html)
+in the online documentation for an overview on how to configure Spark.
+
 
-- `SCALA_HOME`: Location where Scala is installed.
+## Apache Incubator Notice
 
-- `MESOS_NATIVE_LIBRARY`: Your Mesos library (only needed if you want to run
-  on Mesos). For example, this might be `/usr/local/lib/libmesos.so` on Linux.
+Apache Spark is an effort undergoing incubation at The Apache Software
+Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of
+all newly accepted projects until a further review indicates that the
+infrastructure, communications, and decision making process have stabilized in
+a manner consistent with other successful ASF projects. While incubation status
+is not necessarily a reflection of the completeness or stability of the code,
+it does indicate that the project has yet to be fully endorsed by the ASF.
 
 
 ## Contributing to Spark
diff --git a/assembly/pom.xml b/assembly/pom.xml
index 74990b6361..d19f44d292 100644
--- a/assembly/pom.xml
+++ b/assembly/pom.xml
@@ -19,16 +19,16 @@
 <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
   <modelVersion>4.0.0</modelVersion>
   <parent>
-    <groupId>org.spark-project</groupId>
+    <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent</artifactId>
     <version>0.8.0-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
-  <groupId>org.spark-project</groupId>
+  <groupId>org.apache.spark</groupId>
   <artifactId>spark-assembly</artifactId>
   <name>Spark Project Assembly</name>
-  <url>http://spark-project.org/</url>
+  <url>http://spark.incubator.apache.org/</url>
 
   <repositories>
     <!-- A repository in the local filesystem for the Py4J JAR, which is not in Maven central -->
@@ -40,27 +40,27 @@
 
   <dependencies>
     <dependency>
-      <groupId>org.spark-project</groupId>
+      <groupId>org.apache.spark</groupId>
       <artifactId>spark-core</artifactId>
       <version>${project.version}</version>
     </dependency>
     <dependency>
-      <groupId>org.spark-project</groupId>
+      <groupId>org.apache.spark</groupId>
       <artifactId>spark-bagel</artifactId>
       <version>${project.version}</version>
     </dependency>
     <dependency>
-      <groupId>org.spark-project</groupId>
+      <groupId>org.apache.spark</groupId>
       <artifactId>spark-mllib</artifactId>
       <version>${project.version}</version>
     </dependency>
     <dependency>
-      <groupId>org.spark-project</groupId>
+      <groupId>org.apache.spark</groupId>
       <artifactId>spark-repl</artifactId>
       <version>${project.version}</version>
     </dependency>
     <dependency>
-      <groupId>org.spark-project</groupId>
+      <groupId>org.apache.spark</groupId>
       <artifactId>spark-streaming</artifactId>
       <version>${project.version}</version>
     </dependency>
@@ -121,7 +121,7 @@
       <id>hadoop2-yarn</id>
       <dependencies>
         <dependency>
-          <groupId>org.spark-project</groupId>
+          <groupId>org.apache.spark</groupId>
           <artifactId>spark-yarn</artifactId>
           <version>${project.version}</version>
         </dependency>
diff --git a/assembly/src/main/assembly/assembly.xml b/assembly/src/main/assembly/assembly.xml
index 4543b52c93..47d3fa93d0 100644
--- a/assembly/src/main/assembly/assembly.xml
+++ b/assembly/src/main/assembly/assembly.xml
@@ -30,9 +30,9 @@
     </fileSet>
     <fileSet>
       <directory>
-        ${project.parent.basedir}/core/src/main/resources/spark/ui/static/
+        ${project.parent.basedir}/core/src/main/resources/org/apache/spark/ui/static/
       </directory>
-      <outputDirectory>/ui-resources/spark/ui/static</outputDirectory>
+      <outputDirectory>/ui-resources/org/apache/spark/ui/static</outputDirectory>
       <includes>
         <include>**/*</include>
       </includes>
@@ -63,10 +63,10 @@
   <dependencySets>
     <dependencySet>
       <includes>
-        <include>org.spark-project:*:jar</include>
+        <include>org.apache.spark:*:jar</include>
       </includes>
       <excludes>
-        <exclude>org.spark-project:spark-assembly:jar</exclude>
+        <exclude>org.apache.spark:spark-assembly:jar</exclude>
       </excludes>
     </dependencySet>
     <dependencySet>
@@ -77,7 +77,7 @@
       <useProjectArtifact>false</useProjectArtifact>
       <excludes>
         <exclude>org.apache.hadoop:*:jar</exclude>
-        <exclude>org.spark-project:*:jar</exclude>
+        <exclude>org.apache.spark:*:jar</exclude>
       </excludes>
     </dependencySet>
   </dependencySets>
diff --git a/bagel/pom.xml b/bagel/pom.xml
index cbcf8d1239..51173c32b2 100644
--- a/bagel/pom.xml
+++ b/bagel/pom.xml
@@ -19,21 +19,21 @@
 <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
   <modelVersion>4.0.0</modelVersion>
   <parent>
-    <groupId>org.spark-project</groupId>
+    <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent</artifactId>
     <version>0.8.0-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
-  <groupId>org.spark-project</groupId>
+  <groupId>org.apache.spark</groupId>
   <artifactId>spark-bagel</artifactId>
   <packaging>jar</packaging>
   <name>Spark Project Bagel</name>
-  <url>http://spark-project.org/</url>
+  <url>http://spark.incubator.apache.org/</url>
 
   <dependencies>
     <dependency>
-      <groupId>org.spark-project</groupId>
+      <groupId>org.apache.spark</groupId>
       <artifactId>spark-core</artifactId>
       <version>${project.version}</version>
     </dependency>
diff --git a/bagel/src/main/scala/spark/bagel/Bagel.scala b/bagel/src/main/scala/org/apache/spark/bagel/Bagel.scala
index 80c8d53d2b..44e26bbb9e 100644
--- a/bagel/src/main/scala/spark/bagel/Bagel.scala
+++ b/bagel/src/main/scala/org/apache/spark/bagel/Bagel.scala
@@ -15,32 +15,31 @@
  * limitations under the License.
  */
 
-package spark.bagel
+package org.apache.spark.bagel
 
-import spark._
-import spark.SparkContext._
-
-import scala.collection.mutable.ArrayBuffer
-import storage.StorageLevel
+import org.apache.spark._
+import org.apache.spark.SparkContext._
+import org.apache.spark.rdd.RDD
+import org.apache.spark.storage.StorageLevel
 
 object Bagel extends Logging {
   val DEFAULT_STORAGE_LEVEL = StorageLevel.MEMORY_AND_DISK
 
   /**
    * Runs a Bagel program.
-   * @param sc [[spark.SparkContext]] to use for the program.
+   * @param sc [[org.apache.spark.SparkContext]] to use for the program.
    * @param vertices vertices of the graph represented as an RDD of (Key, Vertex) pairs. Often the Key will be
    *                 the vertex id.
    * @param messages initial set of messages represented as an RDD of (Key, Message) pairs. Often this will be an
    *                 empty array, i.e. sc.parallelize(Array[K, Message]()).
-   * @param combiner [[spark.bagel.Combiner]] combines multiple individual messages to a given vertex into one
+   * @param combiner [[org.apache.spark.bagel.Combiner]] combines multiple individual messages to a given vertex into one
    *                message before sending (which often involves network I/O).
-   * @param aggregator [[spark.bagel.Aggregator]] performs a reduce across all vertices after each superstep,
+   * @param aggregator [[org.apache.spark.bagel.Aggregator]] performs a reduce across all vertices after each superstep,
    *                  and provides the result to each vertex in the next superstep.
-   * @param partitioner [[spark.Partitioner]] partitions values by key
+   * @param partitioner [[org.apache.spark.Partitioner]] partitions values by key
    * @param numPartitions number of partitions across which to split the graph.
    *                      Default is the default parallelism of the SparkContext
-   * @param storageLevel [[spark.storage.StorageLevel]] to use for caching of intermediate RDDs in each superstep.
+   * @param storageLevel [[org.apache.spark.storage.StorageLevel]] to use for caching of intermediate RDDs in each superstep.
    *                    Defaults to caching in memory.
    * @param compute function that takes a Vertex, optional set of (possibly combined) messages to the Vertex,
    *                optional Aggregator and the current superstep,
@@ -98,7 +97,7 @@ object Bagel extends Logging {
     verts
   }
 
-  /** Runs a Bagel program with no [[spark.bagel.Aggregator]] and the default storage level */
+  /** Runs a Bagel program with no [[org.apache.spark.bagel.Aggregator]] and the default storage level */
   def run[K: Manifest, V <: Vertex : Manifest, M <: Message[K] : Manifest, C: Manifest](
     sc: SparkContext,
     vertices: RDD[(K, V)],
@@ -110,7 +109,7 @@ object Bagel extends Logging {
     compute: (V, Option[C], Int) => (V, Array[M])
   ): RDD[(K, V)] = run(sc, vertices, messages, combiner, numPartitions, DEFAULT_STORAGE_LEVEL)(compute)
 
-  /** Runs a Bagel program with no [[spark.bagel.Aggregator]] */
+  /** Runs a Bagel program with no [[org.apache.spark.bagel.Aggregator]] */
   def run[K: Manifest, V <: Vertex : Manifest, M <: Message[K] : Manifest, C: Manifest](
     sc: SparkContext,
     vertices: RDD[(K, V)],
@@ -128,7 +127,7 @@ object Bagel extends Logging {
   }
 
   /**
-   * Runs a Bagel program with no [[spark.bagel.Aggregator]], default [[spark.HashPartitioner]]
+   * Runs a Bagel program with no [[org.apache.spark.bagel.Aggregator]], default [[org.apache.spark.HashPartitioner]]
    * and default storage level
    */
   def run[K: Manifest, V <: Vertex : Manifest, M <: Message[K] : Manifest, C: Manifest](
@@ -141,7 +140,7 @@ object Bagel extends Logging {
     compute: (V, Option[C], Int) => (V, Array[M])
   ): RDD[(K, V)] = run(sc, vertices, messages, combiner, numPartitions, DEFAULT_STORAGE_LEVEL)(compute)
 
-  /** Runs a Bagel program with no [[spark.bagel.Aggregator]] and the default [[spark.HashPartitioner]]*/
+  /** Runs a Bagel program with no [[org.apache.spark.bagel.Aggregator]] and the default [[org.apache.spark.HashPartitioner]]*/
   def run[K: Manifest, V <: Vertex : Manifest, M <: Message[K] : Manifest, C: Manifest](
     sc: SparkContext,
     vertices: RDD[(K, V)],
@@ -159,8 +158,8 @@ object Bagel extends Logging {
   }
 
   /**
-   * Runs a Bagel program with no [[spark.bagel.Aggregator]], default [[spark.HashPartitioner]],
-   * [[spark.bagel.DefaultCombiner]] and the default storage level
+   * Runs a Bagel program with no [[org.apache.spark.bagel.Aggregator]], default [[org.apache.spark.HashPartitioner]],
+   * [[org.apache.spark.bagel.DefaultCombiner]] and the default storage level
    */
   def run[K: Manifest, V <: Vertex : Manifest, M <: Message[K] : Manifest](
     sc: SparkContext,
@@ -172,8 +171,8 @@ object Bagel extends Logging {
   ): RDD[(K, V)] = run(sc, vertices, messages, numPartitions, DEFAULT_STORAGE_LEVEL)(compute)
 
   /**
-   * Runs a Bagel program with no [[spark.bagel.Aggregator]], the default [[spark.HashPartitioner]]
-   * and [[spark.bagel.DefaultCombiner]]
+   * Runs a Bagel program with no [[org.apache.spark.bagel.Aggregator]], the default [[org.apache.spark.HashPartitioner]]
+   * and [[org.apache.spark.bagel.DefaultCombiner]]
    */
   def run[K: Manifest, V <: Vertex : Manifest, M <: Message[K] : Manifest](
     sc: SparkContext,
diff --git a/bagel/src/test/scala/bagel/BagelSuite.scala b/bagel/src/test/scala/org/apache/spark/bagel/BagelSuite.scala
index ef2d57fbd0..7b954a4775 100644
--- a/bagel/src/test/scala/bagel/BagelSuite.scala
+++ b/bagel/src/test/scala/org/apache/spark/bagel/BagelSuite.scala
@@ -15,16 +15,14 @@
  * limitations under the License.
  */
 
-package spark.bagel
+package org.apache.spark.bagel
 
-import org.scalatest.{FunSuite, Assertions, BeforeAndAfter}
+import org.scalatest.{BeforeAndAfter, FunSuite, Assertions}
 import org.scalatest.concurrent.Timeouts
 import org.scalatest.time.SpanSugar._
 
-import scala.collection.mutable.ArrayBuffer
-
-import spark._
-import storage.StorageLevel
+import org.apache.spark._
+import org.apache.spark.storage.StorageLevel
 
 class TestVertex(val active: Boolean, val age: Int) extends Vertex with Serializable
 class TestMessage(val targetId: String) extends Message[String] with Serializable
diff --git a/bin/compute-classpath.cmd b/bin/compute-classpath.cmd
index 9178b852e6..cf38188c4b 100644
--- a/bin/compute-classpath.cmd
+++ b/bin/compute-classpath.cmd
@@ -28,30 +28,27 @@ set FWDIR=%~dp0..\
 rem Load environment variables from conf\spark-env.cmd, if it exists
 if exist "%FWDIR%conf\spark-env.cmd" call "%FWDIR%conf\spark-env.cmd"
 
-set CORE_DIR=%FWDIR%core
-set REPL_DIR=%FWDIR%repl
-set EXAMPLES_DIR=%FWDIR%examples
-set BAGEL_DIR=%FWDIR%bagel
-set MLLIB_DIR=%FWDIR%mllib
-set TOOLS_DIR=%FWDIR%tools
-set YARN_DIR=%FWDIR%yarn
-set STREAMING_DIR=%FWDIR%streaming
-set PYSPARK_DIR=%FWDIR%python
-
 rem Build up classpath
-set CLASSPATH=%SPARK_CLASSPATH%;%MESOS_CLASSPATH%;%FWDIR%conf;%CORE_DIR%\target\scala-%SCALA_VERSION%\classes
-set CLASSPATH=%CLASSPATH%;%CORE_DIR%\target\scala-%SCALA_VERSION%\test-classes;%CORE_DIR%\src\main\resources
-set CLASSPATH=%CLASSPATH%;%STREAMING_DIR%\target\scala-%SCALA_VERSION%\classes;%STREAMING_DIR%\target\scala-%SCALA_VERSION%\test-classes
-set CLASSPATH=%CLASSPATH%;%STREAMING_DIR%\lib\org\apache\kafka\kafka\0.7.2-spark\*
-set CLASSPATH=%CLASSPATH%;%REPL_DIR%\target\scala-%SCALA_VERSION%\classes;%EXAMPLES_DIR%\target\scala-%SCALA_VERSION%\classes
-set CLASSPATH=%CLASSPATH%;%FWDIR%lib_managed\jars\*
-set CLASSPATH=%CLASSPATH%;%FWDIR%lib_managed\bundles\*
-set CLASSPATH=%CLASSPATH%;%FWDIR%repl\lib\*
-set CLASSPATH=%CLASSPATH%;%FWDIR%python\lib\*
-set CLASSPATH=%CLASSPATH%;%BAGEL_DIR%\target\scala-%SCALA_VERSION%\classes
-set CLASSPATH=%CLASSPATH%;%MLLIB_DIR%\target\scala-%SCALA_VERSION%\classes
-set CLASSPATH=%CLASSPATH%;%TOOLS_DIR%\target\scala-%SCALA_VERSION%\classes
-set CLASSPATH=%CLASSPATH%;%YARN_DIR%\target\scala-%SCALA_VERSION%\classes
+set CLASSPATH=%SPARK_CLASSPATH%;%FWDIR%conf
+if exist "%FWDIR%RELEASE" (
+  for %%d in ("%FWDIR%jars\spark-assembly*.jar") do (
+    set ASSEMBLY_JAR=%%d
+  )
+) else (
+  for %%d in ("%FWDIR%assembly\target\scala-%SCALA_VERSION%\spark-assembly*hadoop*.jar") do (
+    set ASSEMBLY_JAR=%%d
+  )
+)
+set CLASSPATH=%CLASSPATH%;%ASSEMBLY_JAR%
+
+if "x%SPARK_TESTING%"=="x1" (
+  rem Add test clases to path
+  set CLASSPATH=%CLASSPATH%;%FWDIR%core\target\scala-%SCALA_VERSION%\test-classes
+  set CLASSPATH=%CLASSPATH%;%FWDIR%repl\target\scala-%SCALA_VERSION%\test-classes
+  set CLASSPATH=%CLASSPATH%;%FWDIR%mllib\target\scala-%SCALA_VERSION%\test-classes
+  set CLASSPATH=%CLASSPATH%;%FWDIR%bagel\target\scala-%SCALA_VERSION%\test-classes
+  set CLASSPATH=%CLASSPATH%;%FWDIR%streaming\target\scala-%SCALA_VERSION%\test-classes
+)
 
 rem Add hadoop conf dir - else FileSystem.*, etc fail
 rem Note, this assumes that there is either a HADOOP_CONF_DIR or YARN_CONF_DIR which hosts
@@ -64,9 +61,6 @@ if "x%YARN_CONF_DIR%"=="x" goto no_yarn_conf_dir
   set CLASSPATH=%CLASSPATH%;%YARN_CONF_DIR%
 :no_yarn_conf_dir
 
-rem Add Scala standard library
-set CLASSPATH=%CLASSPATH%;%SCALA_HOME%\lib\scala-library.jar;%SCALA_HOME%\lib\scala-compiler.jar;%SCALA_HOME%\lib\jline.jar
-
 rem A bit of a hack to allow calling this script within run2.cmd without seeing output
 if "%DONT_PRINT_CLASSPATH%"=="1" goto exit
 
diff --git a/bin/slaves.sh b/bin/slaves.sh
index c8fb5ca473..752565b759 100755
--- a/bin/slaves.sh
+++ b/bin/slaves.sh
@@ -42,7 +42,7 @@ bin=`cd "$bin"; pwd`
 . "$bin/spark-config.sh"
 
 # If the slaves file is specified in the command line,
-# then it takes precedence over the definition in 
+# then it takes precedence over the definition in
 # spark-env.sh. Save it here.
 HOSTLIST=$SPARK_SLAVES
 
@@ -58,8 +58,6 @@ if [ "$HOSTLIST" = "" ]; then
   fi
 fi
 
-echo $"${@// /\\ }"
-
 # By default disable strict host key checking
 if [ "$SPARK_SSH_OPTS" = "" ]; then
   SPARK_SSH_OPTS="-o StrictHostKeyChecking=no"
diff --git a/bin/spark-daemon.sh b/bin/spark-daemon.sh
index eac0774669..5bfe967fbf 100755
--- a/bin/spark-daemon.sh
+++ b/bin/spark-daemon.sh
@@ -75,6 +75,7 @@ if [ "$SPARK_IDENT_STRING" = "" ]; then
   export SPARK_IDENT_STRING="$USER"
 fi
 
+
 export SPARK_PRINT_LAUNCH_COMMAND="1"
 
 # get log directory
@@ -124,13 +125,19 @@ case $startStop in
       rsync -a -e ssh --delete --exclude=.svn --exclude='logs/*' --exclude='contrib/hod/logs/*' $SPARK_MASTER/ "$SPARK_HOME"
     fi
 
-    spark_rotate_log $log
+    spark_rotate_log "$log"
     echo starting $command, logging to $log
-    echo "Spark Daemon: $command" > $log
     cd "$SPARK_PREFIX"
     nohup nice -n $SPARK_NICENESS "$SPARK_PREFIX"/spark-class $command "$@" >> "$log" 2>&1 < /dev/null &
-    echo $! > $pid
-    sleep 1; head "$log"
+    newpid=$!
+    echo $newpid > $pid
+    sleep 2
+    # Check if the process has died; in that case we'll tail the log so the user can see
+    if ! kill -0 $newpid >/dev/null 2>&1; then
+      echo "failed to launch $command:"
+      tail -2 "$log" | sed 's/^/  /'
+      echo "full log in $log"
+    fi
     ;;
 
   (stop)
diff --git a/bin/start-master.sh b/bin/start-master.sh
index 2288fb19d7..648c7ae75f 100755
--- a/bin/start-master.sh
+++ b/bin/start-master.sh
@@ -49,4 +49,4 @@ if [ "$SPARK_PUBLIC_DNS" = "" ]; then
     fi
 fi
 
-"$bin"/spark-daemon.sh start spark.deploy.master.Master 1 --ip $SPARK_MASTER_IP --port $SPARK_MASTER_PORT --webui-port $SPARK_MASTER_WEBUI_PORT
+"$bin"/spark-daemon.sh start org.apache.spark.deploy.master.Master 1 --ip $SPARK_MASTER_IP --port $SPARK_MASTER_PORT --webui-port $SPARK_MASTER_WEBUI_PORT
diff --git a/bin/start-slave.sh b/bin/start-slave.sh
index d6db16882d..4eefa20944 100755
--- a/bin/start-slave.sh
+++ b/bin/start-slave.sh
@@ -32,4 +32,4 @@ if [ "$SPARK_PUBLIC_DNS" = "" ]; then
     fi
 fi
 
-"$bin"/spark-daemon.sh start spark.deploy.worker.Worker "$@"
+"$bin"/spark-daemon.sh start org.apache.spark.deploy.worker.Worker "$@"
diff --git a/bin/start-slaves.sh b/bin/start-slaves.sh
index dad7c3df76..00dc4888b2 100755
--- a/bin/start-slaves.sh
+++ b/bin/start-slaves.sh
@@ -35,8 +35,6 @@ if [ "$SPARK_MASTER_IP" = "" ]; then
   SPARK_MASTER_IP=`hostname`
 fi
 
-echo "Master IP: $SPARK_MASTER_IP"
-
 # Launch the slaves
 if [ "$SPARK_WORKER_INSTANCES" = "" ]; then
   exec "$bin/slaves.sh" cd "$SPARK_HOME" \; "$bin/start-slave.sh" 1 spark://$SPARK_MASTER_IP:$SPARK_MASTER_PORT
diff --git a/bin/stop-all.sh b/bin/stop-all.sh
index a043ac0095..b6c83a7ba4 100755
--- a/bin/stop-all.sh
+++ b/bin/stop-all.sh
@@ -20,6 +20,7 @@
 # Start all spark daemons.
 # Run this on the master nde
 
+
 bin=`dirname "$0"`
 bin=`cd "$bin"; pwd`
 
diff --git a/bin/stop-master.sh b/bin/stop-master.sh
index 31a610bf9d..310e33bedc 100755
--- a/bin/stop-master.sh
+++ b/bin/stop-master.sh
@@ -24,4 +24,4 @@ bin=`cd "$bin"; pwd`
 
 . "$bin/spark-config.sh"
 
-"$bin"/spark-daemon.sh stop spark.deploy.master.Master 1
+"$bin"/spark-daemon.sh stop org.apache.spark.deploy.master.Master 1
diff --git a/bin/stop-slaves.sh b/bin/stop-slaves.sh
index 8e056f23d4..03e416a132 100755
--- a/bin/stop-slaves.sh
+++ b/bin/stop-slaves.sh
@@ -29,9 +29,9 @@ if [ -f "${SPARK_CONF_DIR}/spark-env.sh" ]; then
 fi
 
 if [ "$SPARK_WORKER_INSTANCES" = "" ]; then
-  "$bin"/spark-daemons.sh stop spark.deploy.worker.Worker 1
+  "$bin"/spark-daemons.sh stop org.apache.spark.deploy.worker.Worker 1
 else
   for ((i=0; i<$SPARK_WORKER_INSTANCES; i++)); do
-    "$bin"/spark-daemons.sh stop spark.deploy.worker.Worker $(( $i + 1 ))
+    "$bin"/spark-daemons.sh stop org.apache.spark.deploy.worker.Worker $(( $i + 1 ))
   done
 fi
diff --git a/conf/spark-env.sh.template b/conf/spark-env.sh.template
index c978db00d9..0a35ee7c79 100755
--- a/conf/spark-env.sh.template
+++ b/conf/spark-env.sh.template
@@ -1,24 +1,21 @@
 #!/usr/bin/env bash
 
 # This file contains environment variables required to run Spark. Copy it as
-# spark-env.sh and edit that to configure Spark for your site. At a minimum,
-# the following two variables should be set:
-# - SCALA_HOME, to point to your Scala installation, or SCALA_LIBRARY_PATH to
-#   point to the directory for Scala library JARs (if you install Scala as a
-#   Debian or RPM package, these are in a separate path, often /usr/share/java)
+# spark-env.sh and edit that to configure Spark for your site.
+#
+# The following variables can be set in this file:
+# - SPARK_LOCAL_IP, to set the IP address Spark binds to on this node
 # - MESOS_NATIVE_LIBRARY, to point to your libmesos.so if you use Mesos
+# - SPARK_JAVA_OPTS, to set node-specific JVM options for Spark. Note that
+#   we recommend setting app-wide options in the application's driver program.
+#     Examples of node-specific options : -Dspark.local.dir, GC options
+#     Examples of app-wide options : -Dspark.serializer
 #
-# If using the standalone deploy mode, you can also set variables for it:
-# - SPARK_MASTER_IP, to bind the master to a different IP address
+# If using the standalone deploy mode, you can also set variables for it here:
+# - SPARK_MASTER_IP, to bind the master to a different IP address or hostname
 # - SPARK_MASTER_PORT / SPARK_MASTER_WEBUI_PORT, to use non-default ports
 # - SPARK_WORKER_CORES, to set the number of cores to use on this machine
 # - SPARK_WORKER_MEMORY, to set how much memory to use (e.g. 1000m, 2g)
 # - SPARK_WORKER_PORT / SPARK_WORKER_WEBUI_PORT
-# - SPARK_WORKER_INSTANCES, to set the number of worker instances/processes
-#   to be spawned on every slave machine
-# - SPARK_JAVA_OPTS, to set the jvm options for executor backend. Note: This is
-#   only for node-specific options, whereas app-specific options should be set
-#   in the application.
-#   Examples of node-speicic options : -Dspark.local.dir, GC related options.
-#   Examples of app-specific options : -Dspark.serializer
+# - SPARK_WORKER_INSTANCES, to set the number of worker processes per node
 
diff --git a/core/pom.xml b/core/pom.xml
index 53696367e9..5738b7406f 100644
--- a/core/pom.xml
+++ b/core/pom.xml
@@ -19,17 +19,17 @@
 <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
   <modelVersion>4.0.0</modelVersion>
   <parent>
-    <groupId>org.spark-project</groupId>
+    <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent</artifactId>
     <version>0.8.0-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
-  <groupId>org.spark-project</groupId>
+  <groupId>org.apache.spark</groupId>
   <artifactId>spark-core</artifactId>
   <packaging>jar</packaging>
   <name>Spark Project Core</name>
-  <url>http://spark-project.org/</url>
+  <url>http://spark.incubator.apache.org/</url>
 
   <dependencies>
     <dependency>
diff --git a/core/src/main/java/spark/network/netty/FileClient.java b/core/src/main/java/org/apache/spark/network/netty/FileClient.java
index 0625a6d502..20a7a3aa8c 100644
--- a/core/src/main/java/spark/network/netty/FileClient.java
+++ b/core/src/main/java/org/apache/spark/network/netty/FileClient.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.network.netty;
+package org.apache.spark.network.netty;
 
 import io.netty.bootstrap.Bootstrap;
 import io.netty.channel.Channel;
diff --git a/core/src/main/java/spark/network/netty/FileClientChannelInitializer.java b/core/src/main/java/org/apache/spark/network/netty/FileClientChannelInitializer.java
index 05ad4b61d7..65ee15d63b 100644
--- a/core/src/main/java/spark/network/netty/FileClientChannelInitializer.java
+++ b/core/src/main/java/org/apache/spark/network/netty/FileClientChannelInitializer.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.network.netty;
+package org.apache.spark.network.netty;
 
 import io.netty.buffer.BufType;
 import io.netty.channel.ChannelInitializer;
diff --git a/core/src/main/java/spark/network/netty/FileClientHandler.java b/core/src/main/java/org/apache/spark/network/netty/FileClientHandler.java
index e8cd9801f6..c4aa2669e0 100644
--- a/core/src/main/java/spark/network/netty/FileClientHandler.java
+++ b/core/src/main/java/org/apache/spark/network/netty/FileClientHandler.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.network.netty;
+package org.apache.spark.network.netty;
 
 import io.netty.buffer.ByteBuf;
 import io.netty.channel.ChannelHandlerContext;
diff --git a/core/src/main/java/spark/network/netty/FileServer.java b/core/src/main/java/org/apache/spark/network/netty/FileServer.java
index 9f009a61d5..666432474d 100644
--- a/core/src/main/java/spark/network/netty/FileServer.java
+++ b/core/src/main/java/org/apache/spark/network/netty/FileServer.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.network.netty;
+package org.apache.spark.network.netty;
 
 import java.net.InetSocketAddress;
 
diff --git a/core/src/main/java/spark/network/netty/FileServerChannelInitializer.java b/core/src/main/java/org/apache/spark/network/netty/FileServerChannelInitializer.java
index 50c57a81a3..833af1632d 100644
--- a/core/src/main/java/spark/network/netty/FileServerChannelInitializer.java
+++ b/core/src/main/java/org/apache/spark/network/netty/FileServerChannelInitializer.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.network.netty;
+package org.apache.spark.network.netty;
 
 import io.netty.channel.ChannelInitializer;
 import io.netty.channel.socket.SocketChannel;
diff --git a/core/src/main/java/spark/network/netty/FileServerHandler.java b/core/src/main/java/org/apache/spark/network/netty/FileServerHandler.java
index 176ba8da49..d3d57a0255 100644
--- a/core/src/main/java/spark/network/netty/FileServerHandler.java
+++ b/core/src/main/java/org/apache/spark/network/netty/FileServerHandler.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.network.netty;
+package org.apache.spark.network.netty;
 
 import java.io.File;
 import java.io.FileInputStream;
diff --git a/core/src/main/java/spark/network/netty/PathResolver.java b/core/src/main/java/org/apache/spark/network/netty/PathResolver.java
index f446c55b19..94c034cad0 100755
--- a/core/src/main/java/spark/network/netty/PathResolver.java
+++ b/core/src/main/java/org/apache/spark/network/netty/PathResolver.java
@@ -15,7 +15,7 @@
  * limitations under the License.

  */

 

-package spark.network.netty;

+package org.apache.spark.network.netty;

 

 

 public interface PathResolver {

diff --git a/core/src/main/resources/org/apache/spark/ui/static/bootstrap.min.css b/core/src/main/resources/org/apache/spark/ui/static/bootstrap.min.css
new file mode 100755
index 0000000000..13cef3d6f1
--- /dev/null
+++ b/core/src/main/resources/org/apache/spark/ui/static/bootstrap.min.css
@@ -0,0 +1,874 @@
+/*!
+ * Bootstrap v2.3.2
+ *
+ * Copyright 2013 Twitter, Inc
+ * Licensed under the Apache License v2.0
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Designed and built with all the love in the world @twitter by @mdo and @fat.
+ */
+.clearfix{*zoom:1;}.clearfix:before,.clearfix:after{display:table;content:"";line-height:0;}
+.clearfix:after{clear:both;}
+.hide-text{font:0/0 a;color:transparent;text-shadow:none;background-color:transparent;border:0;}
+.input-block-level{display:block;width:100%;min-height:30px;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;}
+article,aside,details,figcaption,figure,footer,header,hgroup,nav,section{display:block;}
+audio,canvas,video{display:inline-block;*display:inline;*zoom:1;}
+audio:not([controls]){display:none;}
+html{font-size:100%;-webkit-text-size-adjust:100%;-ms-text-size-adjust:100%;}
+a:focus{outline:thin dotted #333;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px;}
+a:hover,a:active{outline:0;}
+sub,sup{position:relative;font-size:75%;line-height:0;vertical-align:baseline;}
+sup{top:-0.5em;}
+sub{bottom:-0.25em;}
+img{max-width:100%;width:auto\9;height:auto;vertical-align:middle;border:0;-ms-interpolation-mode:bicubic;}
+#map_canvas img,.google-maps img{max-width:none;}
+button,input,select,textarea{margin:0;font-size:100%;vertical-align:middle;}
+button,input{*overflow:visible;line-height:normal;}
+button::-moz-focus-inner,input::-moz-focus-inner{padding:0;border:0;}
+button,html input[type="button"],input[type="reset"],input[type="submit"]{-webkit-appearance:button;cursor:pointer;}
+label,select,button,input[type="button"],input[type="reset"],input[type="submit"],input[type="radio"],input[type="checkbox"]{cursor:pointer;}
+input[type="search"]{-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;-webkit-appearance:textfield;}
+input[type="search"]::-webkit-search-decoration,input[type="search"]::-webkit-search-cancel-button{-webkit-appearance:none;}
+textarea{overflow:auto;vertical-align:top;}
+@media print{*{text-shadow:none !important;color:#000 !important;background:transparent !important;box-shadow:none !important;} a,a:visited{text-decoration:underline;} a[href]:after{content:" (" attr(href) ")";} abbr[title]:after{content:" (" attr(title) ")";} .ir a:after,a[href^="javascript:"]:after,a[href^="#"]:after{content:"";} pre,blockquote{border:1px solid #999;page-break-inside:avoid;} thead{display:table-header-group;} tr,img{page-break-inside:avoid;} img{max-width:100% !important;} @page {margin:0.5cm;}p,h2,h3{orphans:3;widows:3;} h2,h3{page-break-after:avoid;}}body{margin:0;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px;line-height:20px;color:#333333;background-color:#ffffff;}
+a{color:#0088cc;text-decoration:none;}
+a:hover,a:focus{color:#005580;text-decoration:underline;}
+.img-rounded{-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px;}
+.img-polaroid{padding:4px;background-color:#fff;border:1px solid #ccc;border:1px solid rgba(0, 0, 0, 0.2);-webkit-box-shadow:0 1px 3px rgba(0, 0, 0, 0.1);-moz-box-shadow:0 1px 3px rgba(0, 0, 0, 0.1);box-shadow:0 1px 3px rgba(0, 0, 0, 0.1);}
+.img-circle{-webkit-border-radius:500px;-moz-border-radius:500px;border-radius:500px;}
+.row{margin-left:-20px;*zoom:1;}.row:before,.row:after{display:table;content:"";line-height:0;}
+.row:after{clear:both;}
+[class*="span"]{float:left;min-height:1px;margin-left:20px;}
+.container,.navbar-static-top .container,.navbar-fixed-top .container,.navbar-fixed-bottom .container{width:940px;}
+.span12{width:940px;}
+.span11{width:860px;}
+.span10{width:780px;}
+.span9{width:700px;}
+.span8{width:620px;}
+.span7{width:540px;}
+.span6{width:460px;}
+.span5{width:380px;}
+.span4{width:300px;}
+.span3{width:220px;}
+.span2{width:140px;}
+.span1{width:60px;}
+.offset12{margin-left:980px;}
+.offset11{margin-left:900px;}
+.offset10{margin-left:820px;}
+.offset9{margin-left:740px;}
+.offset8{margin-left:660px;}
+.offset7{margin-left:580px;}
+.offset6{margin-left:500px;}
+.offset5{margin-left:420px;}
+.offset4{margin-left:340px;}
+.offset3{margin-left:260px;}
+.offset2{margin-left:180px;}
+.offset1{margin-left:100px;}
+.row-fluid{width:100%;*zoom:1;}.row-fluid:before,.row-fluid:after{display:table;content:"";line-height:0;}
+.row-fluid:after{clear:both;}
+.row-fluid [class*="span"]{display:block;width:100%;min-height:30px;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;float:left;margin-left:2.127659574468085%;*margin-left:2.074468085106383%;}
+.row-fluid [class*="span"]:first-child{margin-left:0;}
+.row-fluid .controls-row [class*="span"]+[class*="span"]{margin-left:2.127659574468085%;}
+.row-fluid .span12{width:100%;*width:99.94680851063829%;}
+.row-fluid .span11{width:91.48936170212765%;*width:91.43617021276594%;}
+.row-fluid .span10{width:82.97872340425532%;*width:82.92553191489361%;}
+.row-fluid .span9{width:74.46808510638297%;*width:74.41489361702126%;}
+.row-fluid .span8{width:65.95744680851064%;*width:65.90425531914893%;}
+.row-fluid .span7{width:57.44680851063829%;*width:57.39361702127659%;}
+.row-fluid .span6{width:48.93617021276595%;*width:48.88297872340425%;}
+.row-fluid .span5{width:40.42553191489362%;*width:40.37234042553192%;}
+.row-fluid .span4{width:31.914893617021278%;*width:31.861702127659576%;}
+.row-fluid .span3{width:23.404255319148934%;*width:23.351063829787233%;}
+.row-fluid .span2{width:14.893617021276595%;*width:14.840425531914894%;}
+.row-fluid .span1{width:6.382978723404255%;*width:6.329787234042553%;}
+.row-fluid .offset12{margin-left:104.25531914893617%;*margin-left:104.14893617021275%;}
+.row-fluid .offset12:first-child{margin-left:102.12765957446808%;*margin-left:102.02127659574467%;}
+.row-fluid .offset11{margin-left:95.74468085106382%;*margin-left:95.6382978723404%;}
+.row-fluid .offset11:first-child{margin-left:93.61702127659574%;*margin-left:93.51063829787232%;}
+.row-fluid .offset10{margin-left:87.23404255319149%;*margin-left:87.12765957446807%;}
+.row-fluid .offset10:first-child{margin-left:85.1063829787234%;*margin-left:84.99999999999999%;}
+.row-fluid .offset9{margin-left:78.72340425531914%;*margin-left:78.61702127659572%;}
+.row-fluid .offset9:first-child{margin-left:76.59574468085106%;*margin-left:76.48936170212764%;}
+.row-fluid .offset8{margin-left:70.2127659574468%;*margin-left:70.10638297872339%;}
+.row-fluid .offset8:first-child{margin-left:68.08510638297872%;*margin-left:67.9787234042553%;}
+.row-fluid .offset7{margin-left:61.70212765957446%;*margin-left:61.59574468085106%;}
+.row-fluid .offset7:first-child{margin-left:59.574468085106375%;*margin-left:59.46808510638297%;}
+.row-fluid .offset6{margin-left:53.191489361702125%;*margin-left:53.085106382978715%;}
+.row-fluid .offset6:first-child{margin-left:51.063829787234035%;*margin-left:50.95744680851063%;}
+.row-fluid .offset5{margin-left:44.68085106382979%;*margin-left:44.57446808510638%;}
+.row-fluid .offset5:first-child{margin-left:42.5531914893617%;*margin-left:42.4468085106383%;}
+.row-fluid .offset4{margin-left:36.170212765957444%;*margin-left:36.06382978723405%;}
+.row-fluid .offset4:first-child{margin-left:34.04255319148936%;*margin-left:33.93617021276596%;}
+.row-fluid .offset3{margin-left:27.659574468085104%;*margin-left:27.5531914893617%;}
+.row-fluid .offset3:first-child{margin-left:25.53191489361702%;*margin-left:25.425531914893618%;}
+.row-fluid .offset2{margin-left:19.148936170212764%;*margin-left:19.04255319148936%;}
+.row-fluid .offset2:first-child{margin-left:17.02127659574468%;*margin-left:16.914893617021278%;}
+.row-fluid .offset1{margin-left:10.638297872340425%;*margin-left:10.53191489361702%;}
+.row-fluid .offset1:first-child{margin-left:8.51063829787234%;*margin-left:8.404255319148938%;}
+[class*="span"].hide,.row-fluid [class*="span"].hide{display:none;}
+[class*="span"].pull-right,.row-fluid [class*="span"].pull-right{float:right;}
+.container{margin-right:auto;margin-left:auto;*zoom:1;}.container:before,.container:after{display:table;content:"";line-height:0;}
+.container:after{clear:both;}
+.container-fluid{padding-right:20px;padding-left:20px;*zoom:1;}.container-fluid:before,.container-fluid:after{display:table;content:"";line-height:0;}
+.container-fluid:after{clear:both;}
+p{margin:0 0 10px;}
+.lead{margin-bottom:20px;font-size:21px;font-weight:200;line-height:30px;}
+small{font-size:85%;}
+strong{font-weight:bold;}
+em{font-style:italic;}
+cite{font-style:normal;}
+.muted{color:#999999;}
+a.muted:hover,a.muted:focus{color:#808080;}
+.text-warning{color:#c09853;}
+a.text-warning:hover,a.text-warning:focus{color:#a47e3c;}
+.text-error{color:#b94a48;}
+a.text-error:hover,a.text-error:focus{color:#953b39;}
+.text-info{color:#3a87ad;}
+a.text-info:hover,a.text-info:focus{color:#2d6987;}
+.text-success{color:#468847;}
+a.text-success:hover,a.text-success:focus{color:#356635;}
+.text-left{text-align:left;}
+.text-right{text-align:right;}
+.text-center{text-align:center;}
+h1,h2,h3,h4,h5,h6{margin:10px 0;font-family:inherit;font-weight:bold;line-height:20px;color:inherit;text-rendering:optimizelegibility;}h1 small,h2 small,h3 small,h4 small,h5 small,h6 small{font-weight:normal;line-height:1;color:#999999;}
+h1,h2,h3{line-height:40px;}
+h1{font-size:38.5px;}
+h2{font-size:31.5px;}
+h3{font-size:24.5px;}
+h4{font-size:17.5px;}
+h5{font-size:14px;}
+h6{font-size:11.9px;}
+h1 small{font-size:24.5px;}
+h2 small{font-size:17.5px;}
+h3 small{font-size:14px;}
+h4 small{font-size:14px;}
+.page-header{padding-bottom:9px;margin:20px 0 30px;border-bottom:1px solid #eeeeee;}
+ul,ol{padding:0;margin:0 0 10px 25px;}
+ul ul,ul ol,ol ol,ol ul{margin-bottom:0;}
+li{line-height:20px;}
+ul.unstyled,ol.unstyled{margin-left:0;list-style:none;}
+ul.inline,ol.inline{margin-left:0;list-style:none;}ul.inline>li,ol.inline>li{display:inline-block;*display:inline;*zoom:1;padding-left:5px;padding-right:5px;}
+dl{margin-bottom:20px;}
+dt,dd{line-height:20px;}
+dt{font-weight:bold;}
+dd{margin-left:10px;}
+.dl-horizontal{*zoom:1;}.dl-horizontal:before,.dl-horizontal:after{display:table;content:"";line-height:0;}
+.dl-horizontal:after{clear:both;}
+.dl-horizontal dt{float:left;width:160px;clear:left;text-align:right;overflow:hidden;text-overflow:ellipsis;white-space:nowrap;}
+.dl-horizontal dd{margin-left:180px;}
+hr{margin:20px 0;border:0;border-top:1px solid #eeeeee;border-bottom:1px solid #ffffff;}
+abbr[title],abbr[data-original-title]{cursor:help;border-bottom:1px dotted #999999;}
+abbr.initialism{font-size:90%;text-transform:uppercase;}
+blockquote{padding:0 0 0 15px;margin:0 0 20px;border-left:5px solid #eeeeee;}blockquote p{margin-bottom:0;font-size:17.5px;font-weight:300;line-height:1.25;}
+blockquote small{display:block;line-height:20px;color:#999999;}blockquote small:before{content:'\2014 \00A0';}
+blockquote.pull-right{float:right;padding-right:15px;padding-left:0;border-right:5px solid #eeeeee;border-left:0;}blockquote.pull-right p,blockquote.pull-right small{text-align:right;}
+blockquote.pull-right small:before{content:'';}
+blockquote.pull-right small:after{content:'\00A0 \2014';}
+q:before,q:after,blockquote:before,blockquote:after{content:"";}
+address{display:block;margin-bottom:20px;font-style:normal;line-height:20px;}
+code,pre{padding:0 3px 2px;font-family:Monaco,Menlo,Consolas,"Courier New",monospace;font-size:12px;color:#333333;-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px;}
+code{padding:2px 4px;color:#d14;background-color:#f7f7f9;border:1px solid #e1e1e8;white-space:nowrap;}
+pre{display:block;padding:9.5px;margin:0 0 10px;font-size:13px;line-height:20px;word-break:break-all;word-wrap:break-word;white-space:pre;white-space:pre-wrap;background-color:#f5f5f5;border:1px solid #ccc;border:1px solid rgba(0, 0, 0, 0.15);-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;}pre.prettyprint{margin-bottom:20px;}
+pre code{padding:0;color:inherit;white-space:pre;white-space:pre-wrap;background-color:transparent;border:0;}
+.pre-scrollable{max-height:340px;overflow-y:scroll;}
+.label,.badge{display:inline-block;padding:2px 4px;font-size:11.844px;font-weight:bold;line-height:14px;color:#ffffff;vertical-align:baseline;white-space:nowrap;text-shadow:0 -1px 0 rgba(0, 0, 0, 0.25);background-color:#999999;}
+.label{-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px;}
+.badge{padding-left:9px;padding-right:9px;-webkit-border-radius:9px;-moz-border-radius:9px;border-radius:9px;}
+.label:empty,.badge:empty{display:none;}
+a.label:hover,a.label:focus,a.badge:hover,a.badge:focus{color:#ffffff;text-decoration:none;cursor:pointer;}
+.label-important,.badge-important{background-color:#b94a48;}
+.label-important[href],.badge-important[href]{background-color:#953b39;}
+.label-warning,.badge-warning{background-color:#f89406;}
+.label-warning[href],.badge-warning[href]{background-color:#c67605;}
+.label-success,.badge-success{background-color:#468847;}
+.label-success[href],.badge-success[href]{background-color:#356635;}
+.label-info,.badge-info{background-color:#3a87ad;}
+.label-info[href],.badge-info[href]{background-color:#2d6987;}
+.label-inverse,.badge-inverse{background-color:#333333;}
+.label-inverse[href],.badge-inverse[href]{background-color:#1a1a1a;}
+.btn .label,.btn .badge{position:relative;top:-1px;}
+.btn-mini .label,.btn-mini .badge{top:0;}
+table{max-width:100%;background-color:transparent;border-collapse:collapse;border-spacing:0;}
+.table{width:100%;margin-bottom:20px;}.table th,.table td{padding:8px;line-height:20px;text-align:left;vertical-align:top;border-top:1px solid #dddddd;}
+.table th{font-weight:bold;}
+.table thead th{vertical-align:bottom;}
+.table caption+thead tr:first-child th,.table caption+thead tr:first-child td,.table colgroup+thead tr:first-child th,.table colgroup+thead tr:first-child td,.table thead:first-child tr:first-child th,.table thead:first-child tr:first-child td{border-top:0;}
+.table tbody+tbody{border-top:2px solid #dddddd;}
+.table .table{background-color:#ffffff;}
+.table-condensed th,.table-condensed td{padding:4px 5px;}
+.table-bordered{border:1px solid #dddddd;border-collapse:separate;*border-collapse:collapse;border-left:0;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;}.table-bordered th,.table-bordered td{border-left:1px solid #dddddd;}
+.table-bordered caption+thead tr:first-child th,.table-bordered caption+tbody tr:first-child th,.table-bordered caption+tbody tr:first-child td,.table-bordered colgroup+thead tr:first-child th,.table-bordered colgroup+tbody tr:first-child th,.table-bordered colgroup+tbody tr:first-child td,.table-bordered thead:first-child tr:first-child th,.table-bordered tbody:first-child tr:first-child th,.table-bordered tbody:first-child tr:first-child td{border-top:0;}
+.table-bordered thead:first-child tr:first-child>th:first-child,.table-bordered tbody:first-child tr:first-child>td:first-child,.table-bordered tbody:first-child tr:first-child>th:first-child{-webkit-border-top-left-radius:4px;-moz-border-radius-topleft:4px;border-top-left-radius:4px;}
+.table-bordered thead:first-child tr:first-child>th:last-child,.table-bordered tbody:first-child tr:first-child>td:last-child,.table-bordered tbody:first-child tr:first-child>th:last-child{-webkit-border-top-right-radius:4px;-moz-border-radius-topright:4px;border-top-right-radius:4px;}
+.table-bordered thead:last-child tr:last-child>th:first-child,.table-bordered tbody:last-child tr:last-child>td:first-child,.table-bordered tbody:last-child tr:last-child>th:first-child,.table-bordered tfoot:last-child tr:last-child>td:first-child,.table-bordered tfoot:last-child tr:last-child>th:first-child{-webkit-border-bottom-left-radius:4px;-moz-border-radius-bottomleft:4px;border-bottom-left-radius:4px;}
+.table-bordered thead:last-child tr:last-child>th:last-child,.table-bordered tbody:last-child tr:last-child>td:last-child,.table-bordered tbody:last-child tr:last-child>th:last-child,.table-bordered tfoot:last-child tr:last-child>td:last-child,.table-bordered tfoot:last-child tr:last-child>th:last-child{-webkit-border-bottom-right-radius:4px;-moz-border-radius-bottomright:4px;border-bottom-right-radius:4px;}
+.table-bordered tfoot+tbody:last-child tr:last-child td:first-child{-webkit-border-bottom-left-radius:0;-moz-border-radius-bottomleft:0;border-bottom-left-radius:0;}
+.table-bordered tfoot+tbody:last-child tr:last-child td:last-child{-webkit-border-bottom-right-radius:0;-moz-border-radius-bottomright:0;border-bottom-right-radius:0;}
+.table-bordered caption+thead tr:first-child th:first-child,.table-bordered caption+tbody tr:first-child td:first-child,.table-bordered colgroup+thead tr:first-child th:first-child,.table-bordered colgroup+tbody tr:first-child td:first-child{-webkit-border-top-left-radius:4px;-moz-border-radius-topleft:4px;border-top-left-radius:4px;}
+.table-bordered caption+thead tr:first-child th:last-child,.table-bordered caption+tbody tr:first-child td:last-child,.table-bordered colgroup+thead tr:first-child th:last-child,.table-bordered colgroup+tbody tr:first-child td:last-child{-webkit-border-top-right-radius:4px;-moz-border-radius-topright:4px;border-top-right-radius:4px;}
+.table-striped tbody>tr:nth-child(odd)>td,.table-striped tbody>tr:nth-child(odd)>th{background-color:#f9f9f9;}
+.table-hover tbody tr:hover>td,.table-hover tbody tr:hover>th{background-color:#f5f5f5;}
+table td[class*="span"],table th[class*="span"],.row-fluid table td[class*="span"],.row-fluid table th[class*="span"]{display:table-cell;float:none;margin-left:0;}
+.table td.span1,.table th.span1{float:none;width:44px;margin-left:0;}
+.table td.span2,.table th.span2{float:none;width:124px;margin-left:0;}
+.table td.span3,.table th.span3{float:none;width:204px;margin-left:0;}
+.table td.span4,.table th.span4{float:none;width:284px;margin-left:0;}
+.table td.span5,.table th.span5{float:none;width:364px;margin-left:0;}
+.table td.span6,.table th.span6{float:none;width:444px;margin-left:0;}
+.table td.span7,.table th.span7{float:none;width:524px;margin-left:0;}
+.table td.span8,.table th.span8{float:none;width:604px;margin-left:0;}
+.table td.span9,.table th.span9{float:none;width:684px;margin-left:0;}
+.table td.span10,.table th.span10{float:none;width:764px;margin-left:0;}
+.table td.span11,.table th.span11{float:none;width:844px;margin-left:0;}
+.table td.span12,.table th.span12{float:none;width:924px;margin-left:0;}
+.table tbody tr.success>td{background-color:#dff0d8;}
+.table tbody tr.error>td{background-color:#f2dede;}
+.table tbody tr.warning>td{background-color:#fcf8e3;}
+.table tbody tr.info>td{background-color:#d9edf7;}
+.table-hover tbody tr.success:hover>td{background-color:#d0e9c6;}
+.table-hover tbody tr.error:hover>td{background-color:#ebcccc;}
+.table-hover tbody tr.warning:hover>td{background-color:#faf2cc;}
+.table-hover tbody tr.info:hover>td{background-color:#c4e3f3;}
+form{margin:0 0 20px;}
+fieldset{padding:0;margin:0;border:0;}
+legend{display:block;width:100%;padding:0;margin-bottom:20px;font-size:21px;line-height:40px;color:#333333;border:0;border-bottom:1px solid #e5e5e5;}legend small{font-size:15px;color:#999999;}
+label,input,button,select,textarea{font-size:14px;font-weight:normal;line-height:20px;}
+input,button,select,textarea{font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;}
+label{display:block;margin-bottom:5px;}
+select,textarea,input[type="text"],input[type="password"],input[type="datetime"],input[type="datetime-local"],input[type="date"],input[type="month"],input[type="time"],input[type="week"],input[type="number"],input[type="email"],input[type="url"],input[type="search"],input[type="tel"],input[type="color"],.uneditable-input{display:inline-block;height:20px;padding:4px 6px;margin-bottom:10px;font-size:14px;line-height:20px;color:#555555;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;vertical-align:middle;}
+input,textarea,.uneditable-input{width:206px;}
+textarea{height:auto;}
+textarea,input[type="text"],input[type="password"],input[type="datetime"],input[type="datetime-local"],input[type="date"],input[type="month"],input[type="time"],input[type="week"],input[type="number"],input[type="email"],input[type="url"],input[type="search"],input[type="tel"],input[type="color"],.uneditable-input{background-color:#ffffff;border:1px solid #cccccc;-webkit-box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075);-moz-box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075);box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075);-webkit-transition:border linear .2s, box-shadow linear .2s;-moz-transition:border linear .2s, box-shadow linear .2s;-o-transition:border linear .2s, box-shadow linear .2s;transition:border linear .2s, box-shadow linear .2s;}textarea:focus,input[type="text"]:focus,input[type="password"]:focus,input[type="datetime"]:focus,input[type="datetime-local"]:focus,input[type="date"]:focus,input[type="month"]:focus,input[type="time"]:focus,input[type="week"]:focus,input[type="number"]:focus,input[type="email"]:focus,input[type="url"]:focus,input[type="search"]:focus,input[type="tel"]:focus,input[type="color"]:focus,.uneditable-input:focus{border-color:rgba(82, 168, 236, 0.8);outline:0;outline:thin dotted \9;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(82,168,236,.6);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(82,168,236,.6);box-shadow:inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(82,168,236,.6);}
+input[type="radio"],input[type="checkbox"]{margin:4px 0 0;*margin-top:0;margin-top:1px \9;line-height:normal;}
+input[type="file"],input[type="image"],input[type="submit"],input[type="reset"],input[type="button"],input[type="radio"],input[type="checkbox"]{width:auto;}
+select,input[type="file"]{height:30px;*margin-top:4px;line-height:30px;}
+select{width:220px;border:1px solid #cccccc;background-color:#ffffff;}
+select[multiple],select[size]{height:auto;}
+select:focus,input[type="file"]:focus,input[type="radio"]:focus,input[type="checkbox"]:focus{outline:thin dotted #333;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px;}
+.uneditable-input,.uneditable-textarea{color:#999999;background-color:#fcfcfc;border-color:#cccccc;-webkit-box-shadow:inset 0 1px 2px rgba(0, 0, 0, 0.025);-moz-box-shadow:inset 0 1px 2px rgba(0, 0, 0, 0.025);box-shadow:inset 0 1px 2px rgba(0, 0, 0, 0.025);cursor:not-allowed;}
+.uneditable-input{overflow:hidden;white-space:nowrap;}
+.uneditable-textarea{width:auto;height:auto;}
+input:-moz-placeholder,textarea:-moz-placeholder{color:#999999;}
+input:-ms-input-placeholder,textarea:-ms-input-placeholder{color:#999999;}
+input::-webkit-input-placeholder,textarea::-webkit-input-placeholder{color:#999999;}
+.radio,.checkbox{min-height:20px;padding-left:20px;}
+.radio input[type="radio"],.checkbox input[type="checkbox"]{float:left;margin-left:-20px;}
+.controls>.radio:first-child,.controls>.checkbox:first-child{padding-top:5px;}
+.radio.inline,.checkbox.inline{display:inline-block;padding-top:5px;margin-bottom:0;vertical-align:middle;}
+.radio.inline+.radio.inline,.checkbox.inline+.checkbox.inline{margin-left:10px;}
+.input-mini{width:60px;}
+.input-small{width:90px;}
+.input-medium{width:150px;}
+.input-large{width:210px;}
+.input-xlarge{width:270px;}
+.input-xxlarge{width:530px;}
+input[class*="span"],select[class*="span"],textarea[class*="span"],.uneditable-input[class*="span"],.row-fluid input[class*="span"],.row-fluid select[class*="span"],.row-fluid textarea[class*="span"],.row-fluid .uneditable-input[class*="span"]{float:none;margin-left:0;}
+.input-append input[class*="span"],.input-append .uneditable-input[class*="span"],.input-prepend input[class*="span"],.input-prepend .uneditable-input[class*="span"],.row-fluid input[class*="span"],.row-fluid select[class*="span"],.row-fluid textarea[class*="span"],.row-fluid .uneditable-input[class*="span"],.row-fluid .input-prepend [class*="span"],.row-fluid .input-append [class*="span"]{display:inline-block;}
+input,textarea,.uneditable-input{margin-left:0;}
+.controls-row [class*="span"]+[class*="span"]{margin-left:20px;}
+input.span12,textarea.span12,.uneditable-input.span12{width:926px;}
+input.span11,textarea.span11,.uneditable-input.span11{width:846px;}
+input.span10,textarea.span10,.uneditable-input.span10{width:766px;}
+input.span9,textarea.span9,.uneditable-input.span9{width:686px;}
+input.span8,textarea.span8,.uneditable-input.span8{width:606px;}
+input.span7,textarea.span7,.uneditable-input.span7{width:526px;}
+input.span6,textarea.span6,.uneditable-input.span6{width:446px;}
+input.span5,textarea.span5,.uneditable-input.span5{width:366px;}
+input.span4,textarea.span4,.uneditable-input.span4{width:286px;}
+input.span3,textarea.span3,.uneditable-input.span3{width:206px;}
+input.span2,textarea.span2,.uneditable-input.span2{width:126px;}
+input.span1,textarea.span1,.uneditable-input.span1{width:46px;}
+.controls-row{*zoom:1;}.controls-row:before,.controls-row:after{display:table;content:"";line-height:0;}
+.controls-row:after{clear:both;}
+.controls-row [class*="span"],.row-fluid .controls-row [class*="span"]{float:left;}
+.controls-row .checkbox[class*="span"],.controls-row .radio[class*="span"]{padding-top:5px;}
+input[disabled],select[disabled],textarea[disabled],input[readonly],select[readonly],textarea[readonly]{cursor:not-allowed;background-color:#eeeeee;}
+input[type="radio"][disabled],input[type="checkbox"][disabled],input[type="radio"][readonly],input[type="checkbox"][readonly]{background-color:transparent;}
+.control-group.warning .control-label,.control-group.warning .help-block,.control-group.warning .help-inline{color:#c09853;}
+.control-group.warning .checkbox,.control-group.warning .radio,.control-group.warning input,.control-group.warning select,.control-group.warning textarea{color:#c09853;}
+.control-group.warning input,.control-group.warning select,.control-group.warning textarea{border-color:#c09853;-webkit-box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075);-moz-box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075);box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075);}.control-group.warning input:focus,.control-group.warning select:focus,.control-group.warning textarea:focus{border-color:#a47e3c;-webkit-box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075),0 0 6px #dbc59e;-moz-box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075),0 0 6px #dbc59e;box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075),0 0 6px #dbc59e;}
+.control-group.warning .input-prepend .add-on,.control-group.warning .input-append .add-on{color:#c09853;background-color:#fcf8e3;border-color:#c09853;}
+.control-group.error .control-label,.control-group.error .help-block,.control-group.error .help-inline{color:#b94a48;}
+.control-group.error .checkbox,.control-group.error .radio,.control-group.error input,.control-group.error select,.control-group.error textarea{color:#b94a48;}
+.control-group.error input,.control-group.error select,.control-group.error textarea{border-color:#b94a48;-webkit-box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075);-moz-box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075);box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075);}.control-group.error input:focus,.control-group.error select:focus,.control-group.error textarea:focus{border-color:#953b39;-webkit-box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075),0 0 6px #d59392;-moz-box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075),0 0 6px #d59392;box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075),0 0 6px #d59392;}
+.control-group.error .input-prepend .add-on,.control-group.error .input-append .add-on{color:#b94a48;background-color:#f2dede;border-color:#b94a48;}
+.control-group.success .control-label,.control-group.success .help-block,.control-group.success .help-inline{color:#468847;}
+.control-group.success .checkbox,.control-group.success .radio,.control-group.success input,.control-group.success select,.control-group.success textarea{color:#468847;}
+.control-group.success input,.control-group.success select,.control-group.success textarea{border-color:#468847;-webkit-box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075);-moz-box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075);box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075);}.control-group.success input:focus,.control-group.success select:focus,.control-group.success textarea:focus{border-color:#356635;-webkit-box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075),0 0 6px #7aba7b;-moz-box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075),0 0 6px #7aba7b;box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075),0 0 6px #7aba7b;}
+.control-group.success .input-prepend .add-on,.control-group.success .input-append .add-on{color:#468847;background-color:#dff0d8;border-color:#468847;}
+.control-group.info .control-label,.control-group.info .help-block,.control-group.info .help-inline{color:#3a87ad;}
+.control-group.info .checkbox,.control-group.info .radio,.control-group.info input,.control-group.info select,.control-group.info textarea{color:#3a87ad;}
+.control-group.info input,.control-group.info select,.control-group.info textarea{border-color:#3a87ad;-webkit-box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075);-moz-box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075);box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075);}.control-group.info input:focus,.control-group.info select:focus,.control-group.info textarea:focus{border-color:#2d6987;-webkit-box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075),0 0 6px #7ab5d3;-moz-box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075),0 0 6px #7ab5d3;box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075),0 0 6px #7ab5d3;}
+.control-group.info .input-prepend .add-on,.control-group.info .input-append .add-on{color:#3a87ad;background-color:#d9edf7;border-color:#3a87ad;}
+input:focus:invalid,textarea:focus:invalid,select:focus:invalid{color:#b94a48;border-color:#ee5f5b;}input:focus:invalid:focus,textarea:focus:invalid:focus,select:focus:invalid:focus{border-color:#e9322d;-webkit-box-shadow:0 0 6px #f8b9b7;-moz-box-shadow:0 0 6px #f8b9b7;box-shadow:0 0 6px #f8b9b7;}
+.form-actions{padding:19px 20px 20px;margin-top:20px;margin-bottom:20px;background-color:#f5f5f5;border-top:1px solid #e5e5e5;*zoom:1;}.form-actions:before,.form-actions:after{display:table;content:"";line-height:0;}
+.form-actions:after{clear:both;}
+.help-block,.help-inline{color:#595959;}
+.help-block{display:block;margin-bottom:10px;}
+.help-inline{display:inline-block;*display:inline;*zoom:1;vertical-align:middle;padding-left:5px;}
+.input-append,.input-prepend{display:inline-block;margin-bottom:10px;vertical-align:middle;font-size:0;white-space:nowrap;}.input-append input,.input-prepend input,.input-append select,.input-prepend select,.input-append .uneditable-input,.input-prepend .uneditable-input,.input-append .dropdown-menu,.input-prepend .dropdown-menu,.input-append .popover,.input-prepend .popover{font-size:14px;}
+.input-append input,.input-prepend input,.input-append select,.input-prepend select,.input-append .uneditable-input,.input-prepend .uneditable-input{position:relative;margin-bottom:0;*margin-left:0;vertical-align:top;-webkit-border-radius:0 4px 4px 0;-moz-border-radius:0 4px 4px 0;border-radius:0 4px 4px 0;}.input-append input:focus,.input-prepend input:focus,.input-append select:focus,.input-prepend select:focus,.input-append .uneditable-input:focus,.input-prepend .uneditable-input:focus{z-index:2;}
+.input-append .add-on,.input-prepend .add-on{display:inline-block;width:auto;height:20px;min-width:16px;padding:4px 5px;font-size:14px;font-weight:normal;line-height:20px;text-align:center;text-shadow:0 1px 0 #ffffff;background-color:#eeeeee;border:1px solid #ccc;}
+.input-append .add-on,.input-prepend .add-on,.input-append .btn,.input-prepend .btn,.input-append .btn-group>.dropdown-toggle,.input-prepend .btn-group>.dropdown-toggle{vertical-align:top;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0;}
+.input-append .active,.input-prepend .active{background-color:#a9dba9;border-color:#46a546;}
+.input-prepend .add-on,.input-prepend .btn{margin-right:-1px;}
+.input-prepend .add-on:first-child,.input-prepend .btn:first-child{-webkit-border-radius:4px 0 0 4px;-moz-border-radius:4px 0 0 4px;border-radius:4px 0 0 4px;}
+.input-append input,.input-append select,.input-append .uneditable-input{-webkit-border-radius:4px 0 0 4px;-moz-border-radius:4px 0 0 4px;border-radius:4px 0 0 4px;}.input-append input+.btn-group .btn:last-child,.input-append select+.btn-group .btn:last-child,.input-append .uneditable-input+.btn-group .btn:last-child{-webkit-border-radius:0 4px 4px 0;-moz-border-radius:0 4px 4px 0;border-radius:0 4px 4px 0;}
+.input-append .add-on,.input-append .btn,.input-append .btn-group{margin-left:-1px;}
+.input-append .add-on:last-child,.input-append .btn:last-child,.input-append .btn-group:last-child>.dropdown-toggle{-webkit-border-radius:0 4px 4px 0;-moz-border-radius:0 4px 4px 0;border-radius:0 4px 4px 0;}
+.input-prepend.input-append input,.input-prepend.input-append select,.input-prepend.input-append .uneditable-input{-webkit-border-radius:0;-moz-border-radius:0;border-radius:0;}.input-prepend.input-append input+.btn-group .btn,.input-prepend.input-append select+.btn-group .btn,.input-prepend.input-append .uneditable-input+.btn-group .btn{-webkit-border-radius:0 4px 4px 0;-moz-border-radius:0 4px 4px 0;border-radius:0 4px 4px 0;}
+.input-prepend.input-append .add-on:first-child,.input-prepend.input-append .btn:first-child{margin-right:-1px;-webkit-border-radius:4px 0 0 4px;-moz-border-radius:4px 0 0 4px;border-radius:4px 0 0 4px;}
+.input-prepend.input-append .add-on:last-child,.input-prepend.input-append .btn:last-child{margin-left:-1px;-webkit-border-radius:0 4px 4px 0;-moz-border-radius:0 4px 4px 0;border-radius:0 4px 4px 0;}
+.input-prepend.input-append .btn-group:first-child{margin-left:0;}
+input.search-query{padding-right:14px;padding-right:4px \9;padding-left:14px;padding-left:4px \9;margin-bottom:0;-webkit-border-radius:15px;-moz-border-radius:15px;border-radius:15px;}
+.form-search .input-append .search-query,.form-search .input-prepend .search-query{-webkit-border-radius:0;-moz-border-radius:0;border-radius:0;}
+.form-search .input-append .search-query{-webkit-border-radius:14px 0 0 14px;-moz-border-radius:14px 0 0 14px;border-radius:14px 0 0 14px;}
+.form-search .input-append .btn{-webkit-border-radius:0 14px 14px 0;-moz-border-radius:0 14px 14px 0;border-radius:0 14px 14px 0;}
+.form-search .input-prepend .search-query{-webkit-border-radius:0 14px 14px 0;-moz-border-radius:0 14px 14px 0;border-radius:0 14px 14px 0;}
+.form-search .input-prepend .btn{-webkit-border-radius:14px 0 0 14px;-moz-border-radius:14px 0 0 14px;border-radius:14px 0 0 14px;}
+.form-search input,.form-inline input,.form-horizontal input,.form-search textarea,.form-inline textarea,.form-horizontal textarea,.form-search select,.form-inline select,.form-horizontal select,.form-search .help-inline,.form-inline .help-inline,.form-horizontal .help-inline,.form-search .uneditable-input,.form-inline .uneditable-input,.form-horizontal .uneditable-input,.form-search .input-prepend,.form-inline .input-prepend,.form-horizontal .input-prepend,.form-search .input-append,.form-inline .input-append,.form-horizontal .input-append{display:inline-block;*display:inline;*zoom:1;margin-bottom:0;vertical-align:middle;}
+.form-search .hide,.form-inline .hide,.form-horizontal .hide{display:none;}
+.form-search label,.form-inline label,.form-search .btn-group,.form-inline .btn-group{display:inline-block;}
+.form-search .input-append,.form-inline .input-append,.form-search .input-prepend,.form-inline .input-prepend{margin-bottom:0;}
+.form-search .radio,.form-search .checkbox,.form-inline .radio,.form-inline .checkbox{padding-left:0;margin-bottom:0;vertical-align:middle;}
+.form-search .radio input[type="radio"],.form-search .checkbox input[type="checkbox"],.form-inline .radio input[type="radio"],.form-inline .checkbox input[type="checkbox"]{float:left;margin-right:3px;margin-left:0;}
+.control-group{margin-bottom:10px;}
+legend+.control-group{margin-top:20px;-webkit-margin-top-collapse:separate;}
+.form-horizontal .control-group{margin-bottom:20px;*zoom:1;}.form-horizontal .control-group:before,.form-horizontal .control-group:after{display:table;content:"";line-height:0;}
+.form-horizontal .control-group:after{clear:both;}
+.form-horizontal .control-label{float:left;width:160px;padding-top:5px;text-align:right;}
+.form-horizontal .controls{*display:inline-block;*padding-left:20px;margin-left:180px;*margin-left:0;}.form-horizontal .controls:first-child{*padding-left:180px;}
+.form-horizontal .help-block{margin-bottom:0;}
+.form-horizontal input+.help-block,.form-horizontal select+.help-block,.form-horizontal textarea+.help-block,.form-horizontal .uneditable-input+.help-block,.form-horizontal .input-prepend+.help-block,.form-horizontal .input-append+.help-block{margin-top:10px;}
+.form-horizontal .form-actions{padding-left:180px;}
+.btn{display:inline-block;*display:inline;*zoom:1;padding:4px 12px;margin-bottom:0;font-size:14px;line-height:20px;text-align:center;vertical-align:middle;cursor:pointer;color:#333333;text-shadow:0 1px 1px rgba(255, 255, 255, 0.75);background-color:#f5f5f5;background-image:-moz-linear-gradient(top, #ffffff, #e6e6e6);background-image:-webkit-gradient(linear, 0 0, 0 100%, from(#ffffff), to(#e6e6e6));background-image:-webkit-linear-gradient(top, #ffffff, #e6e6e6);background-image:-o-linear-gradient(top, #ffffff, #e6e6e6);background-image:linear-gradient(to bottom, #ffffff, #e6e6e6);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#ffe6e6e6', GradientType=0);border-color:#e6e6e6 #e6e6e6 #bfbfbf;border-color:rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);*background-color:#e6e6e6;filter:progid:DXImageTransform.Microsoft.gradient(enabled = false);border:1px solid #cccccc;*border:0;border-bottom-color:#b3b3b3;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;*margin-left:.3em;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,.2), 0 1px 2px rgba(0,0,0,.05);-moz-box-shadow:inset 0 1px 0 rgba(255,255,255,.2), 0 1px 2px rgba(0,0,0,.05);box-shadow:inset 0 1px 0 rgba(255,255,255,.2), 0 1px 2px rgba(0,0,0,.05);}.btn:hover,.btn:focus,.btn:active,.btn.active,.btn.disabled,.btn[disabled]{color:#333333;background-color:#e6e6e6;*background-color:#d9d9d9;}
+.btn:active,.btn.active{background-color:#cccccc \9;}
+.btn:first-child{*margin-left:0;}
+.btn:hover,.btn:focus{color:#333333;text-decoration:none;background-position:0 -15px;-webkit-transition:background-position 0.1s linear;-moz-transition:background-position 0.1s linear;-o-transition:background-position 0.1s linear;transition:background-position 0.1s linear;}
+.btn:focus{outline:thin dotted #333;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px;}
+.btn.active,.btn:active{background-image:none;outline:0;-webkit-box-shadow:inset 0 2px 4px rgba(0,0,0,.15), 0 1px 2px rgba(0,0,0,.05);-moz-box-shadow:inset 0 2px 4px rgba(0,0,0,.15), 0 1px 2px rgba(0,0,0,.05);box-shadow:inset 0 2px 4px rgba(0,0,0,.15), 0 1px 2px rgba(0,0,0,.05);}
+.btn.disabled,.btn[disabled]{cursor:default;background-image:none;opacity:0.65;filter:alpha(opacity=65);-webkit-box-shadow:none;-moz-box-shadow:none;box-shadow:none;}
+.btn-large{padding:11px 19px;font-size:17.5px;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px;}
+.btn-large [class^="icon-"],.btn-large [class*=" icon-"]{margin-top:4px;}
+.btn-small{padding:2px 10px;font-size:11.9px;-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px;}
+.btn-small [class^="icon-"],.btn-small [class*=" icon-"]{margin-top:0;}
+.btn-mini [class^="icon-"],.btn-mini [class*=" icon-"]{margin-top:-1px;}
+.btn-mini{padding:0 6px;font-size:10.5px;-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px;}
+.btn-block{display:block;width:100%;padding-left:0;padding-right:0;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;}
+.btn-block+.btn-block{margin-top:5px;}
+input[type="submit"].btn-block,input[type="reset"].btn-block,input[type="button"].btn-block{width:100%;}
+.btn-primary.active,.btn-warning.active,.btn-danger.active,.btn-success.active,.btn-info.active,.btn-inverse.active{color:rgba(255, 255, 255, 0.75);}
+.btn-primary{color:#ffffff;text-shadow:0 -1px 0 rgba(0, 0, 0, 0.25);background-color:#006dcc;background-image:-moz-linear-gradient(top, #0088cc, #0044cc);background-image:-webkit-gradient(linear, 0 0, 0 100%, from(#0088cc), to(#0044cc));background-image:-webkit-linear-gradient(top, #0088cc, #0044cc);background-image:-o-linear-gradient(top, #0088cc, #0044cc);background-image:linear-gradient(to bottom, #0088cc, #0044cc);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff0088cc', endColorstr='#ff0044cc', GradientType=0);border-color:#0044cc #0044cc #002a80;border-color:rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);*background-color:#0044cc;filter:progid:DXImageTransform.Microsoft.gradient(enabled = false);}.btn-primary:hover,.btn-primary:focus,.btn-primary:active,.btn-primary.active,.btn-primary.disabled,.btn-primary[disabled]{color:#ffffff;background-color:#0044cc;*background-color:#003bb3;}
+.btn-primary:active,.btn-primary.active{background-color:#003399 \9;}
+.btn-warning{color:#ffffff;text-shadow:0 -1px 0 rgba(0, 0, 0, 0.25);background-color:#faa732;background-image:-moz-linear-gradient(top, #fbb450, #f89406);background-image:-webkit-gradient(linear, 0 0, 0 100%, from(#fbb450), to(#f89406));background-image:-webkit-linear-gradient(top, #fbb450, #f89406);background-image:-o-linear-gradient(top, #fbb450, #f89406);background-image:linear-gradient(to bottom, #fbb450, #f89406);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffbb450', endColorstr='#fff89406', GradientType=0);border-color:#f89406 #f89406 #ad6704;border-color:rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);*background-color:#f89406;filter:progid:DXImageTransform.Microsoft.gradient(enabled = false);}.btn-warning:hover,.btn-warning:focus,.btn-warning:active,.btn-warning.active,.btn-warning.disabled,.btn-warning[disabled]{color:#ffffff;background-color:#f89406;*background-color:#df8505;}
+.btn-warning:active,.btn-warning.active{background-color:#c67605 \9;}
+.btn-danger{color:#ffffff;text-shadow:0 -1px 0 rgba(0, 0, 0, 0.25);background-color:#da4f49;background-image:-moz-linear-gradient(top, #ee5f5b, #bd362f);background-image:-webkit-gradient(linear, 0 0, 0 100%, from(#ee5f5b), to(#bd362f));background-image:-webkit-linear-gradient(top, #ee5f5b, #bd362f);background-image:-o-linear-gradient(top, #ee5f5b, #bd362f);background-image:linear-gradient(to bottom, #ee5f5b, #bd362f);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffee5f5b', endColorstr='#ffbd362f', GradientType=0);border-color:#bd362f #bd362f #802420;border-color:rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);*background-color:#bd362f;filter:progid:DXImageTransform.Microsoft.gradient(enabled = false);}.btn-danger:hover,.btn-danger:focus,.btn-danger:active,.btn-danger.active,.btn-danger.disabled,.btn-danger[disabled]{color:#ffffff;background-color:#bd362f;*background-color:#a9302a;}
+.btn-danger:active,.btn-danger.active{background-color:#942a25 \9;}
+.btn-success{color:#ffffff;text-shadow:0 -1px 0 rgba(0, 0, 0, 0.25);background-color:#5bb75b;background-image:-moz-linear-gradient(top, #62c462, #51a351);background-image:-webkit-gradient(linear, 0 0, 0 100%, from(#62c462), to(#51a351));background-image:-webkit-linear-gradient(top, #62c462, #51a351);background-image:-o-linear-gradient(top, #62c462, #51a351);background-image:linear-gradient(to bottom, #62c462, #51a351);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff62c462', endColorstr='#ff51a351', GradientType=0);border-color:#51a351 #51a351 #387038;border-color:rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);*background-color:#51a351;filter:progid:DXImageTransform.Microsoft.gradient(enabled = false);}.btn-success:hover,.btn-success:focus,.btn-success:active,.btn-success.active,.btn-success.disabled,.btn-success[disabled]{color:#ffffff;background-color:#51a351;*background-color:#499249;}
+.btn-success:active,.btn-success.active{background-color:#408140 \9;}
+.btn-info{color:#ffffff;text-shadow:0 -1px 0 rgba(0, 0, 0, 0.25);background-color:#49afcd;background-image:-moz-linear-gradient(top, #5bc0de, #2f96b4);background-image:-webkit-gradient(linear, 0 0, 0 100%, from(#5bc0de), to(#2f96b4));background-image:-webkit-linear-gradient(top, #5bc0de, #2f96b4);background-image:-o-linear-gradient(top, #5bc0de, #2f96b4);background-image:linear-gradient(to bottom, #5bc0de, #2f96b4);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff2f96b4', GradientType=0);border-color:#2f96b4 #2f96b4 #1f6377;border-color:rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);*background-color:#2f96b4;filter:progid:DXImageTransform.Microsoft.gradient(enabled = false);}.btn-info:hover,.btn-info:focus,.btn-info:active,.btn-info.active,.btn-info.disabled,.btn-info[disabled]{color:#ffffff;background-color:#2f96b4;*background-color:#2a85a0;}
+.btn-info:active,.btn-info.active{background-color:#24748c \9;}
+.btn-inverse{color:#ffffff;text-shadow:0 -1px 0 rgba(0, 0, 0, 0.25);background-color:#363636;background-image:-moz-linear-gradient(top, #444444, #222222);background-image:-webkit-gradient(linear, 0 0, 0 100%, from(#444444), to(#222222));background-image:-webkit-linear-gradient(top, #444444, #222222);background-image:-o-linear-gradient(top, #444444, #222222);background-image:linear-gradient(to bottom, #444444, #222222);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff444444', endColorstr='#ff222222', GradientType=0);border-color:#222222 #222222 #000000;border-color:rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);*background-color:#222222;filter:progid:DXImageTransform.Microsoft.gradient(enabled = false);}.btn-inverse:hover,.btn-inverse:focus,.btn-inverse:active,.btn-inverse.active,.btn-inverse.disabled,.btn-inverse[disabled]{color:#ffffff;background-color:#222222;*background-color:#151515;}
+.btn-inverse:active,.btn-inverse.active{background-color:#080808 \9;}
+button.btn,input[type="submit"].btn{*padding-top:3px;*padding-bottom:3px;}button.btn::-moz-focus-inner,input[type="submit"].btn::-moz-focus-inner{padding:0;border:0;}
+button.btn.btn-large,input[type="submit"].btn.btn-large{*padding-top:7px;*padding-bottom:7px;}
+button.btn.btn-small,input[type="submit"].btn.btn-small{*padding-top:3px;*padding-bottom:3px;}
+button.btn.btn-mini,input[type="submit"].btn.btn-mini{*padding-top:1px;*padding-bottom:1px;}
+.btn-link,.btn-link:active,.btn-link[disabled]{background-color:transparent;background-image:none;-webkit-box-shadow:none;-moz-box-shadow:none;box-shadow:none;}
+.btn-link{border-color:transparent;cursor:pointer;color:#0088cc;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0;}
+.btn-link:hover,.btn-link:focus{color:#005580;text-decoration:underline;background-color:transparent;}
+.btn-link[disabled]:hover,.btn-link[disabled]:focus{color:#333333;text-decoration:none;}
+[class^="icon-"],[class*=" icon-"]{display:inline-block;width:14px;height:14px;*margin-right:.3em;line-height:14px;vertical-align:text-top;background-image:url("../img/glyphicons-halflings.png");background-position:14px 14px;background-repeat:no-repeat;margin-top:1px;}
+.icon-white,.nav-pills>.active>a>[class^="icon-"],.nav-pills>.active>a>[class*=" icon-"],.nav-list>.active>a>[class^="icon-"],.nav-list>.active>a>[class*=" icon-"],.navbar-inverse .nav>.active>a>[class^="icon-"],.navbar-inverse .nav>.active>a>[class*=" icon-"],.dropdown-menu>li>a:hover>[class^="icon-"],.dropdown-menu>li>a:focus>[class^="icon-"],.dropdown-menu>li>a:hover>[class*=" icon-"],.dropdown-menu>li>a:focus>[class*=" icon-"],.dropdown-menu>.active>a>[class^="icon-"],.dropdown-menu>.active>a>[class*=" icon-"],.dropdown-submenu:hover>a>[class^="icon-"],.dropdown-submenu:focus>a>[class^="icon-"],.dropdown-submenu:hover>a>[class*=" icon-"],.dropdown-submenu:focus>a>[class*=" icon-"]{background-image:url("../img/glyphicons-halflings-white.png");}
+.icon-glass{background-position:0 0;}
+.icon-music{background-position:-24px 0;}
+.icon-search{background-position:-48px 0;}
+.icon-envelope{background-position:-72px 0;}
+.icon-heart{background-position:-96px 0;}
+.icon-star{background-position:-120px 0;}
+.icon-star-empty{background-position:-144px 0;}
+.icon-user{background-position:-168px 0;}
+.icon-film{background-position:-192px 0;}
+.icon-th-large{background-position:-216px 0;}
+.icon-th{background-position:-240px 0;}
+.icon-th-list{background-position:-264px 0;}
+.icon-ok{background-position:-288px 0;}
+.icon-remove{background-position:-312px 0;}
+.icon-zoom-in{background-position:-336px 0;}
+.icon-zoom-out{background-position:-360px 0;}
+.icon-off{background-position:-384px 0;}
+.icon-signal{background-position:-408px 0;}
+.icon-cog{background-position:-432px 0;}
+.icon-trash{background-position:-456px 0;}
+.icon-home{background-position:0 -24px;}
+.icon-file{background-position:-24px -24px;}
+.icon-time{background-position:-48px -24px;}
+.icon-road{background-position:-72px -24px;}
+.icon-download-alt{background-position:-96px -24px;}
+.icon-download{background-position:-120px -24px;}
+.icon-upload{background-position:-144px -24px;}
+.icon-inbox{background-position:-168px -24px;}
+.icon-play-circle{background-position:-192px -24px;}
+.icon-repeat{background-position:-216px -24px;}
+.icon-refresh{background-position:-240px -24px;}
+.icon-list-alt{background-position:-264px -24px;}
+.icon-lock{background-position:-287px -24px;}
+.icon-flag{background-position:-312px -24px;}
+.icon-headphones{background-position:-336px -24px;}
+.icon-volume-off{background-position:-360px -24px;}
+.icon-volume-down{background-position:-384px -24px;}
+.icon-volume-up{background-position:-408px -24px;}
+.icon-qrcode{background-position:-432px -24px;}
+.icon-barcode{background-position:-456px -24px;}
+.icon-tag{background-position:0 -48px;}
+.icon-tags{background-position:-25px -48px;}
+.icon-book{background-position:-48px -48px;}
+.icon-bookmark{background-position:-72px -48px;}
+.icon-print{background-position:-96px -48px;}
+.icon-camera{background-position:-120px -48px;}
+.icon-font{background-position:-144px -48px;}
+.icon-bold{background-position:-167px -48px;}
+.icon-italic{background-position:-192px -48px;}
+.icon-text-height{background-position:-216px -48px;}
+.icon-text-width{background-position:-240px -48px;}
+.icon-align-left{background-position:-264px -48px;}
+.icon-align-center{background-position:-288px -48px;}
+.icon-align-right{background-position:-312px -48px;}
+.icon-align-justify{background-position:-336px -48px;}
+.icon-list{background-position:-360px -48px;}
+.icon-indent-left{background-position:-384px -48px;}
+.icon-indent-right{background-position:-408px -48px;}
+.icon-facetime-video{background-position:-432px -48px;}
+.icon-picture{background-position:-456px -48px;}
+.icon-pencil{background-position:0 -72px;}
+.icon-map-marker{background-position:-24px -72px;}
+.icon-adjust{background-position:-48px -72px;}
+.icon-tint{background-position:-72px -72px;}
+.icon-edit{background-position:-96px -72px;}
+.icon-share{background-position:-120px -72px;}
+.icon-check{background-position:-144px -72px;}
+.icon-move{background-position:-168px -72px;}
+.icon-step-backward{background-position:-192px -72px;}
+.icon-fast-backward{background-position:-216px -72px;}
+.icon-backward{background-position:-240px -72px;}
+.icon-play{background-position:-264px -72px;}
+.icon-pause{background-position:-288px -72px;}
+.icon-stop{background-position:-312px -72px;}
+.icon-forward{background-position:-336px -72px;}
+.icon-fast-forward{background-position:-360px -72px;}
+.icon-step-forward{background-position:-384px -72px;}
+.icon-eject{background-position:-408px -72px;}
+.icon-chevron-left{background-position:-432px -72px;}
+.icon-chevron-right{background-position:-456px -72px;}
+.icon-plus-sign{background-position:0 -96px;}
+.icon-minus-sign{background-position:-24px -96px;}
+.icon-remove-sign{background-position:-48px -96px;}
+.icon-ok-sign{background-position:-72px -96px;}
+.icon-question-sign{background-position:-96px -96px;}
+.icon-info-sign{background-position:-120px -96px;}
+.icon-screenshot{background-position:-144px -96px;}
+.icon-remove-circle{background-position:-168px -96px;}
+.icon-ok-circle{background-position:-192px -96px;}
+.icon-ban-circle{background-position:-216px -96px;}
+.icon-arrow-left{background-position:-240px -96px;}
+.icon-arrow-right{background-position:-264px -96px;}
+.icon-arrow-up{background-position:-289px -96px;}
+.icon-arrow-down{background-position:-312px -96px;}
+.icon-share-alt{background-position:-336px -96px;}
+.icon-resize-full{background-position:-360px -96px;}
+.icon-resize-small{background-position:-384px -96px;}
+.icon-plus{background-position:-408px -96px;}
+.icon-minus{background-position:-433px -96px;}
+.icon-asterisk{background-position:-456px -96px;}
+.icon-exclamation-sign{background-position:0 -120px;}
+.icon-gift{background-position:-24px -120px;}
+.icon-leaf{background-position:-48px -120px;}
+.icon-fire{background-position:-72px -120px;}
+.icon-eye-open{background-position:-96px -120px;}
+.icon-eye-close{background-position:-120px -120px;}
+.icon-warning-sign{background-position:-144px -120px;}
+.icon-plane{background-position:-168px -120px;}
+.icon-calendar{background-position:-192px -120px;}
+.icon-random{background-position:-216px -120px;width:16px;}
+.icon-comment{background-position:-240px -120px;}
+.icon-magnet{background-position:-264px -120px;}
+.icon-chevron-up{background-position:-288px -120px;}
+.icon-chevron-down{background-position:-313px -119px;}
+.icon-retweet{background-position:-336px -120px;}
+.icon-shopping-cart{background-position:-360px -120px;}
+.icon-folder-close{background-position:-384px -120px;width:16px;}
+.icon-folder-open{background-position:-408px -120px;width:16px;}
+.icon-resize-vertical{background-position:-432px -119px;}
+.icon-resize-horizontal{background-position:-456px -118px;}
+.icon-hdd{background-position:0 -144px;}
+.icon-bullhorn{background-position:-24px -144px;}
+.icon-bell{background-position:-48px -144px;}
+.icon-certificate{background-position:-72px -144px;}
+.icon-thumbs-up{background-position:-96px -144px;}
+.icon-thumbs-down{background-position:-120px -144px;}
+.icon-hand-right{background-position:-144px -144px;}
+.icon-hand-left{background-position:-168px -144px;}
+.icon-hand-up{background-position:-192px -144px;}
+.icon-hand-down{background-position:-216px -144px;}
+.icon-circle-arrow-right{background-position:-240px -144px;}
+.icon-circle-arrow-left{background-position:-264px -144px;}
+.icon-circle-arrow-up{background-position:-288px -144px;}
+.icon-circle-arrow-down{background-position:-312px -144px;}
+.icon-globe{background-position:-336px -144px;}
+.icon-wrench{background-position:-360px -144px;}
+.icon-tasks{background-position:-384px -144px;}
+.icon-filter{background-position:-408px -144px;}
+.icon-briefcase{background-position:-432px -144px;}
+.icon-fullscreen{background-position:-456px -144px;}
+.btn-group{position:relative;display:inline-block;*display:inline;*zoom:1;font-size:0;vertical-align:middle;white-space:nowrap;*margin-left:.3em;}.btn-group:first-child{*margin-left:0;}
+.btn-group+.btn-group{margin-left:5px;}
+.btn-toolbar{font-size:0;margin-top:10px;margin-bottom:10px;}.btn-toolbar>.btn+.btn,.btn-toolbar>.btn-group+.btn,.btn-toolbar>.btn+.btn-group{margin-left:5px;}
+.btn-group>.btn{position:relative;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0;}
+.btn-group>.btn+.btn{margin-left:-1px;}
+.btn-group>.btn,.btn-group>.dropdown-menu,.btn-group>.popover{font-size:14px;}
+.btn-group>.btn-mini{font-size:10.5px;}
+.btn-group>.btn-small{font-size:11.9px;}
+.btn-group>.btn-large{font-size:17.5px;}
+.btn-group>.btn:first-child{margin-left:0;-webkit-border-top-left-radius:4px;-moz-border-radius-topleft:4px;border-top-left-radius:4px;-webkit-border-bottom-left-radius:4px;-moz-border-radius-bottomleft:4px;border-bottom-left-radius:4px;}
+.btn-group>.btn:last-child,.btn-group>.dropdown-toggle{-webkit-border-top-right-radius:4px;-moz-border-radius-topright:4px;border-top-right-radius:4px;-webkit-border-bottom-right-radius:4px;-moz-border-radius-bottomright:4px;border-bottom-right-radius:4px;}
+.btn-group>.btn.large:first-child{margin-left:0;-webkit-border-top-left-radius:6px;-moz-border-radius-topleft:6px;border-top-left-radius:6px;-webkit-border-bottom-left-radius:6px;-moz-border-radius-bottomleft:6px;border-bottom-left-radius:6px;}
+.btn-group>.btn.large:last-child,.btn-group>.large.dropdown-toggle{-webkit-border-top-right-radius:6px;-moz-border-radius-topright:6px;border-top-right-radius:6px;-webkit-border-bottom-right-radius:6px;-moz-border-radius-bottomright:6px;border-bottom-right-radius:6px;}
+.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active{z-index:2;}
+.btn-group .dropdown-toggle:active,.btn-group.open .dropdown-toggle{outline:0;}
+.btn-group>.btn+.dropdown-toggle{padding-left:8px;padding-right:8px;-webkit-box-shadow:inset 1px 0 0 rgba(255,255,255,.125), inset 0 1px 0 rgba(255,255,255,.2), 0 1px 2px rgba(0,0,0,.05);-moz-box-shadow:inset 1px 0 0 rgba(255,255,255,.125), inset 0 1px 0 rgba(255,255,255,.2), 0 1px 2px rgba(0,0,0,.05);box-shadow:inset 1px 0 0 rgba(255,255,255,.125), inset 0 1px 0 rgba(255,255,255,.2), 0 1px 2px rgba(0,0,0,.05);*padding-top:5px;*padding-bottom:5px;}
+.btn-group>.btn-mini+.dropdown-toggle{padding-left:5px;padding-right:5px;*padding-top:2px;*padding-bottom:2px;}
+.btn-group>.btn-small+.dropdown-toggle{*padding-top:5px;*padding-bottom:4px;}
+.btn-group>.btn-large+.dropdown-toggle{padding-left:12px;padding-right:12px;*padding-top:7px;*padding-bottom:7px;}
+.btn-group.open .dropdown-toggle{background-image:none;-webkit-box-shadow:inset 0 2px 4px rgba(0,0,0,.15), 0 1px 2px rgba(0,0,0,.05);-moz-box-shadow:inset 0 2px 4px rgba(0,0,0,.15), 0 1px 2px rgba(0,0,0,.05);box-shadow:inset 0 2px 4px rgba(0,0,0,.15), 0 1px 2px rgba(0,0,0,.05);}
+.btn-group.open .btn.dropdown-toggle{background-color:#e6e6e6;}
+.btn-group.open .btn-primary.dropdown-toggle{background-color:#0044cc;}
+.btn-group.open .btn-warning.dropdown-toggle{background-color:#f89406;}
+.btn-group.open .btn-danger.dropdown-toggle{background-color:#bd362f;}
+.btn-group.open .btn-success.dropdown-toggle{background-color:#51a351;}
+.btn-group.open .btn-info.dropdown-toggle{background-color:#2f96b4;}
+.btn-group.open .btn-inverse.dropdown-toggle{background-color:#222222;}
+.btn .caret{margin-top:8px;margin-left:0;}
+.btn-large .caret{margin-top:6px;}
+.btn-large .caret{border-left-width:5px;border-right-width:5px;border-top-width:5px;}
+.btn-mini .caret,.btn-small .caret{margin-top:8px;}
+.dropup .btn-large .caret{border-bottom-width:5px;}
+.btn-primary .caret,.btn-warning .caret,.btn-danger .caret,.btn-info .caret,.btn-success .caret,.btn-inverse .caret{border-top-color:#ffffff;border-bottom-color:#ffffff;}
+.btn-group-vertical{display:inline-block;*display:inline;*zoom:1;}
+.btn-group-vertical>.btn{display:block;float:none;max-width:100%;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0;}
+.btn-group-vertical>.btn+.btn{margin-left:0;margin-top:-1px;}
+.btn-group-vertical>.btn:first-child{-webkit-border-radius:4px 4px 0 0;-moz-border-radius:4px 4px 0 0;border-radius:4px 4px 0 0;}
+.btn-group-vertical>.btn:last-child{-webkit-border-radius:0 0 4px 4px;-moz-border-radius:0 0 4px 4px;border-radius:0 0 4px 4px;}
+.btn-group-vertical>.btn-large:first-child{-webkit-border-radius:6px 6px 0 0;-moz-border-radius:6px 6px 0 0;border-radius:6px 6px 0 0;}
+.btn-group-vertical>.btn-large:last-child{-webkit-border-radius:0 0 6px 6px;-moz-border-radius:0 0 6px 6px;border-radius:0 0 6px 6px;}
+.nav{margin-left:0;margin-bottom:20px;list-style:none;}
+.nav>li>a{display:block;}
+.nav>li>a:hover,.nav>li>a:focus{text-decoration:none;background-color:#eeeeee;}
+.nav>li>a>img{max-width:none;}
+.nav>.pull-right{float:right;}
+.nav-header{display:block;padding:3px 15px;font-size:11px;font-weight:bold;line-height:20px;color:#999999;text-shadow:0 1px 0 rgba(255, 255, 255, 0.5);text-transform:uppercase;}
+.nav li+.nav-header{margin-top:9px;}
+.nav-list{padding-left:15px;padding-right:15px;margin-bottom:0;}
+.nav-list>li>a,.nav-list .nav-header{margin-left:-15px;margin-right:-15px;text-shadow:0 1px 0 rgba(255, 255, 255, 0.5);}
+.nav-list>li>a{padding:3px 15px;}
+.nav-list>.active>a,.nav-list>.active>a:hover,.nav-list>.active>a:focus{color:#ffffff;text-shadow:0 -1px 0 rgba(0, 0, 0, 0.2);background-color:#0088cc;}
+.nav-list [class^="icon-"],.nav-list [class*=" icon-"]{margin-right:2px;}
+.nav-list .divider{*width:100%;height:1px;margin:9px 1px;*margin:-5px 0 5px;overflow:hidden;background-color:#e5e5e5;border-bottom:1px solid #ffffff;}
+.nav-tabs,.nav-pills{*zoom:1;}.nav-tabs:before,.nav-pills:before,.nav-tabs:after,.nav-pills:after{display:table;content:"";line-height:0;}
+.nav-tabs:after,.nav-pills:after{clear:both;}
+.nav-tabs>li,.nav-pills>li{float:left;}
+.nav-tabs>li>a,.nav-pills>li>a{padding-right:12px;padding-left:12px;margin-right:2px;line-height:14px;}
+.nav-tabs{border-bottom:1px solid #ddd;}
+.nav-tabs>li{margin-bottom:-1px;}
+.nav-tabs>li>a{padding-top:8px;padding-bottom:8px;line-height:20px;border:1px solid transparent;-webkit-border-radius:4px 4px 0 0;-moz-border-radius:4px 4px 0 0;border-radius:4px 4px 0 0;}.nav-tabs>li>a:hover,.nav-tabs>li>a:focus{border-color:#eeeeee #eeeeee #dddddd;}
+.nav-tabs>.active>a,.nav-tabs>.active>a:hover,.nav-tabs>.active>a:focus{color:#555555;background-color:#ffffff;border:1px solid #ddd;border-bottom-color:transparent;cursor:default;}
+.nav-pills>li>a{padding-top:8px;padding-bottom:8px;margin-top:2px;margin-bottom:2px;-webkit-border-radius:5px;-moz-border-radius:5px;border-radius:5px;}
+.nav-pills>.active>a,.nav-pills>.active>a:hover,.nav-pills>.active>a:focus{color:#ffffff;background-color:#0088cc;}
+.nav-stacked>li{float:none;}
+.nav-stacked>li>a{margin-right:0;}
+.nav-tabs.nav-stacked{border-bottom:0;}
+.nav-tabs.nav-stacked>li>a{border:1px solid #ddd;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0;}
+.nav-tabs.nav-stacked>li:first-child>a{-webkit-border-top-right-radius:4px;-moz-border-radius-topright:4px;border-top-right-radius:4px;-webkit-border-top-left-radius:4px;-moz-border-radius-topleft:4px;border-top-left-radius:4px;}
+.nav-tabs.nav-stacked>li:last-child>a{-webkit-border-bottom-right-radius:4px;-moz-border-radius-bottomright:4px;border-bottom-right-radius:4px;-webkit-border-bottom-left-radius:4px;-moz-border-radius-bottomleft:4px;border-bottom-left-radius:4px;}
+.nav-tabs.nav-stacked>li>a:hover,.nav-tabs.nav-stacked>li>a:focus{border-color:#ddd;z-index:2;}
+.nav-pills.nav-stacked>li>a{margin-bottom:3px;}
+.nav-pills.nav-stacked>li:last-child>a{margin-bottom:1px;}
+.nav-tabs .dropdown-menu{-webkit-border-radius:0 0 6px 6px;-moz-border-radius:0 0 6px 6px;border-radius:0 0 6px 6px;}
+.nav-pills .dropdown-menu{-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px;}
+.nav .dropdown-toggle .caret{border-top-color:#0088cc;border-bottom-color:#0088cc;margin-top:6px;}
+.nav .dropdown-toggle:hover .caret,.nav .dropdown-toggle:focus .caret{border-top-color:#005580;border-bottom-color:#005580;}
+.nav-tabs .dropdown-toggle .caret{margin-top:8px;}
+.nav .active .dropdown-toggle .caret{border-top-color:#fff;border-bottom-color:#fff;}
+.nav-tabs .active .dropdown-toggle .caret{border-top-color:#555555;border-bottom-color:#555555;}
+.nav>.dropdown.active>a:hover,.nav>.dropdown.active>a:focus{cursor:pointer;}
+.nav-tabs .open .dropdown-toggle,.nav-pills .open .dropdown-toggle,.nav>li.dropdown.open.active>a:hover,.nav>li.dropdown.open.active>a:focus{color:#ffffff;background-color:#999999;border-color:#999999;}
+.nav li.dropdown.open .caret,.nav li.dropdown.open.active .caret,.nav li.dropdown.open a:hover .caret,.nav li.dropdown.open a:focus .caret{border-top-color:#ffffff;border-bottom-color:#ffffff;opacity:1;filter:alpha(opacity=100);}
+.tabs-stacked .open>a:hover,.tabs-stacked .open>a:focus{border-color:#999999;}
+.tabbable{*zoom:1;}.tabbable:before,.tabbable:after{display:table;content:"";line-height:0;}
+.tabbable:after{clear:both;}
+.tab-content{overflow:auto;}
+.tabs-below>.nav-tabs,.tabs-right>.nav-tabs,.tabs-left>.nav-tabs{border-bottom:0;}
+.tab-content>.tab-pane,.pill-content>.pill-pane{display:none;}
+.tab-content>.active,.pill-content>.active{display:block;}
+.tabs-below>.nav-tabs{border-top:1px solid #ddd;}
+.tabs-below>.nav-tabs>li{margin-top:-1px;margin-bottom:0;}
+.tabs-below>.nav-tabs>li>a{-webkit-border-radius:0 0 4px 4px;-moz-border-radius:0 0 4px 4px;border-radius:0 0 4px 4px;}.tabs-below>.nav-tabs>li>a:hover,.tabs-below>.nav-tabs>li>a:focus{border-bottom-color:transparent;border-top-color:#ddd;}
+.tabs-below>.nav-tabs>.active>a,.tabs-below>.nav-tabs>.active>a:hover,.tabs-below>.nav-tabs>.active>a:focus{border-color:transparent #ddd #ddd #ddd;}
+.tabs-left>.nav-tabs>li,.tabs-right>.nav-tabs>li{float:none;}
+.tabs-left>.nav-tabs>li>a,.tabs-right>.nav-tabs>li>a{min-width:74px;margin-right:0;margin-bottom:3px;}
+.tabs-left>.nav-tabs{float:left;margin-right:19px;border-right:1px solid #ddd;}
+.tabs-left>.nav-tabs>li>a{margin-right:-1px;-webkit-border-radius:4px 0 0 4px;-moz-border-radius:4px 0 0 4px;border-radius:4px 0 0 4px;}
+.tabs-left>.nav-tabs>li>a:hover,.tabs-left>.nav-tabs>li>a:focus{border-color:#eeeeee #dddddd #eeeeee #eeeeee;}
+.tabs-left>.nav-tabs .active>a,.tabs-left>.nav-tabs .active>a:hover,.tabs-left>.nav-tabs .active>a:focus{border-color:#ddd transparent #ddd #ddd;*border-right-color:#ffffff;}
+.tabs-right>.nav-tabs{float:right;margin-left:19px;border-left:1px solid #ddd;}
+.tabs-right>.nav-tabs>li>a{margin-left:-1px;-webkit-border-radius:0 4px 4px 0;-moz-border-radius:0 4px 4px 0;border-radius:0 4px 4px 0;}
+.tabs-right>.nav-tabs>li>a:hover,.tabs-right>.nav-tabs>li>a:focus{border-color:#eeeeee #eeeeee #eeeeee #dddddd;}
+.tabs-right>.nav-tabs .active>a,.tabs-right>.nav-tabs .active>a:hover,.tabs-right>.nav-tabs .active>a:focus{border-color:#ddd #ddd #ddd transparent;*border-left-color:#ffffff;}
+.nav>.disabled>a{color:#999999;}
+.nav>.disabled>a:hover,.nav>.disabled>a:focus{text-decoration:none;background-color:transparent;cursor:default;}
+.navbar{overflow:visible;margin-bottom:20px;*position:relative;*z-index:2;}
+.navbar-inner{min-height:40px;padding-left:20px;padding-right:20px;background-color:#fafafa;background-image:-moz-linear-gradient(top, #ffffff, #f2f2f2);background-image:-webkit-gradient(linear, 0 0, 0 100%, from(#ffffff), to(#f2f2f2));background-image:-webkit-linear-gradient(top, #ffffff, #f2f2f2);background-image:-o-linear-gradient(top, #ffffff, #f2f2f2);background-image:linear-gradient(to bottom, #ffffff, #f2f2f2);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#fff2f2f2', GradientType=0);border:1px solid #d4d4d4;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;-webkit-box-shadow:0 1px 4px rgba(0, 0, 0, 0.065);-moz-box-shadow:0 1px 4px rgba(0, 0, 0, 0.065);box-shadow:0 1px 4px rgba(0, 0, 0, 0.065);*zoom:1;}.navbar-inner:before,.navbar-inner:after{display:table;content:"";line-height:0;}
+.navbar-inner:after{clear:both;}
+.navbar .container{width:auto;}
+.nav-collapse.collapse{height:auto;overflow:visible;}
+.navbar .brand{float:left;display:block;padding:10px 20px 10px;margin-left:-20px;font-size:20px;font-weight:200;color:#777777;text-shadow:0 1px 0 #ffffff;}.navbar .brand:hover,.navbar .brand:focus{text-decoration:none;}
+.navbar-text{margin-bottom:0;line-height:40px;color:#777777;}
+.navbar-link{color:#777777;}.navbar-link:hover,.navbar-link:focus{color:#333333;}
+.navbar .divider-vertical{height:40px;margin:0 9px;border-left:1px solid #f2f2f2;border-right:1px solid #ffffff;}
+.navbar .btn,.navbar .btn-group{margin-top:5px;}
+.navbar .btn-group .btn,.navbar .input-prepend .btn,.navbar .input-append .btn,.navbar .input-prepend .btn-group,.navbar .input-append .btn-group{margin-top:0;}
+.navbar-form{margin-bottom:0;*zoom:1;}.navbar-form:before,.navbar-form:after{display:table;content:"";line-height:0;}
+.navbar-form:after{clear:both;}
+.navbar-form input,.navbar-form select,.navbar-form .radio,.navbar-form .checkbox{margin-top:5px;}
+.navbar-form input,.navbar-form select,.navbar-form .btn{display:inline-block;margin-bottom:0;}
+.navbar-form input[type="image"],.navbar-form input[type="checkbox"],.navbar-form input[type="radio"]{margin-top:3px;}
+.navbar-form .input-append,.navbar-form .input-prepend{margin-top:5px;white-space:nowrap;}.navbar-form .input-append input,.navbar-form .input-prepend input{margin-top:0;}
+.navbar-search{position:relative;float:left;margin-top:5px;margin-bottom:0;}.navbar-search .search-query{margin-bottom:0;padding:4px 14px;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:13px;font-weight:normal;line-height:1;-webkit-border-radius:15px;-moz-border-radius:15px;border-radius:15px;}
+.navbar-static-top{position:static;margin-bottom:0;}.navbar-static-top .navbar-inner{-webkit-border-radius:0;-moz-border-radius:0;border-radius:0;}
+.navbar-fixed-top,.navbar-fixed-bottom{position:fixed;right:0;left:0;z-index:1030;margin-bottom:0;}
+.navbar-fixed-top .navbar-inner,.navbar-static-top .navbar-inner{border-width:0 0 1px;}
+.navbar-fixed-bottom .navbar-inner{border-width:1px 0 0;}
+.navbar-fixed-top .navbar-inner,.navbar-fixed-bottom .navbar-inner{padding-left:0;padding-right:0;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0;}
+.navbar-static-top .container,.navbar-fixed-top .container,.navbar-fixed-bottom .container{width:940px;}
+.navbar-fixed-top{top:0;}
+.navbar-fixed-top .navbar-inner,.navbar-static-top .navbar-inner{-webkit-box-shadow:0 1px 10px rgba(0,0,0,.1);-moz-box-shadow:0 1px 10px rgba(0,0,0,.1);box-shadow:0 1px 10px rgba(0,0,0,.1);}
+.navbar-fixed-bottom{bottom:0;}.navbar-fixed-bottom .navbar-inner{-webkit-box-shadow:0 -1px 10px rgba(0,0,0,.1);-moz-box-shadow:0 -1px 10px rgba(0,0,0,.1);box-shadow:0 -1px 10px rgba(0,0,0,.1);}
+.navbar .nav{position:relative;left:0;display:block;float:left;margin:0 10px 0 0;}
+.navbar .nav.pull-right{float:right;margin-right:0;}
+.navbar .nav>li{float:left;}
+.navbar .nav>li>a{float:none;padding:10px 15px 10px;color:#777777;text-decoration:none;text-shadow:0 1px 0 #ffffff;}
+.navbar .nav .dropdown-toggle .caret{margin-top:8px;}
+.navbar .nav>li>a:focus,.navbar .nav>li>a:hover{background-color:transparent;color:#333333;text-decoration:none;}
+.navbar .nav>.active>a,.navbar .nav>.active>a:hover,.navbar .nav>.active>a:focus{color:#555555;text-decoration:none;background-color:#e5e5e5;-webkit-box-shadow:inset 0 3px 8px rgba(0, 0, 0, 0.125);-moz-box-shadow:inset 0 3px 8px rgba(0, 0, 0, 0.125);box-shadow:inset 0 3px 8px rgba(0, 0, 0, 0.125);}
+.navbar .btn-navbar{display:none;float:right;padding:7px 10px;margin-left:5px;margin-right:5px;color:#ffffff;text-shadow:0 -1px 0 rgba(0, 0, 0, 0.25);background-color:#ededed;background-image:-moz-linear-gradient(top, #f2f2f2, #e5e5e5);background-image:-webkit-gradient(linear, 0 0, 0 100%, from(#f2f2f2), to(#e5e5e5));background-image:-webkit-linear-gradient(top, #f2f2f2, #e5e5e5);background-image:-o-linear-gradient(top, #f2f2f2, #e5e5e5);background-image:linear-gradient(to bottom, #f2f2f2, #e5e5e5);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2f2f2', endColorstr='#ffe5e5e5', GradientType=0);border-color:#e5e5e5 #e5e5e5 #bfbfbf;border-color:rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);*background-color:#e5e5e5;filter:progid:DXImageTransform.Microsoft.gradient(enabled = false);-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,.1), 0 1px 0 rgba(255,255,255,.075);-moz-box-shadow:inset 0 1px 0 rgba(255,255,255,.1), 0 1px 0 rgba(255,255,255,.075);box-shadow:inset 0 1px 0 rgba(255,255,255,.1), 0 1px 0 rgba(255,255,255,.075);}.navbar .btn-navbar:hover,.navbar .btn-navbar:focus,.navbar .btn-navbar:active,.navbar .btn-navbar.active,.navbar .btn-navbar.disabled,.navbar .btn-navbar[disabled]{color:#ffffff;background-color:#e5e5e5;*background-color:#d9d9d9;}
+.navbar .btn-navbar:active,.navbar .btn-navbar.active{background-color:#cccccc \9;}
+.navbar .btn-navbar .icon-bar{display:block;width:18px;height:2px;background-color:#f5f5f5;-webkit-border-radius:1px;-moz-border-radius:1px;border-radius:1px;-webkit-box-shadow:0 1px 0 rgba(0, 0, 0, 0.25);-moz-box-shadow:0 1px 0 rgba(0, 0, 0, 0.25);box-shadow:0 1px 0 rgba(0, 0, 0, 0.25);}
+.btn-navbar .icon-bar+.icon-bar{margin-top:3px;}
+.navbar .nav>li>.dropdown-menu:before{content:'';display:inline-block;border-left:7px solid transparent;border-right:7px solid transparent;border-bottom:7px solid #ccc;border-bottom-color:rgba(0, 0, 0, 0.2);position:absolute;top:-7px;left:9px;}
+.navbar .nav>li>.dropdown-menu:after{content:'';display:inline-block;border-left:6px solid transparent;border-right:6px solid transparent;border-bottom:6px solid #ffffff;position:absolute;top:-6px;left:10px;}
+.navbar-fixed-bottom .nav>li>.dropdown-menu:before{border-top:7px solid #ccc;border-top-color:rgba(0, 0, 0, 0.2);border-bottom:0;bottom:-7px;top:auto;}
+.navbar-fixed-bottom .nav>li>.dropdown-menu:after{border-top:6px solid #ffffff;border-bottom:0;bottom:-6px;top:auto;}
+.navbar .nav li.dropdown>a:hover .caret,.navbar .nav li.dropdown>a:focus .caret{border-top-color:#333333;border-bottom-color:#333333;}
+.navbar .nav li.dropdown.open>.dropdown-toggle,.navbar .nav li.dropdown.active>.dropdown-toggle,.navbar .nav li.dropdown.open.active>.dropdown-toggle{background-color:#e5e5e5;color:#555555;}
+.navbar .nav li.dropdown>.dropdown-toggle .caret{border-top-color:#777777;border-bottom-color:#777777;}
+.navbar .nav li.dropdown.open>.dropdown-toggle .caret,.navbar .nav li.dropdown.active>.dropdown-toggle .caret,.navbar .nav li.dropdown.open.active>.dropdown-toggle .caret{border-top-color:#555555;border-bottom-color:#555555;}
+.navbar .pull-right>li>.dropdown-menu,.navbar .nav>li>.dropdown-menu.pull-right{left:auto;right:0;}.navbar .pull-right>li>.dropdown-menu:before,.navbar .nav>li>.dropdown-menu.pull-right:before{left:auto;right:12px;}
+.navbar .pull-right>li>.dropdown-menu:after,.navbar .nav>li>.dropdown-menu.pull-right:after{left:auto;right:13px;}
+.navbar .pull-right>li>.dropdown-menu .dropdown-menu,.navbar .nav>li>.dropdown-menu.pull-right .dropdown-menu{left:auto;right:100%;margin-left:0;margin-right:-1px;-webkit-border-radius:6px 0 6px 6px;-moz-border-radius:6px 0 6px 6px;border-radius:6px 0 6px 6px;}
+.navbar-inverse .navbar-inner{background-color:#1b1b1b;background-image:-moz-linear-gradient(top, #222222, #111111);background-image:-webkit-gradient(linear, 0 0, 0 100%, from(#222222), to(#111111));background-image:-webkit-linear-gradient(top, #222222, #111111);background-image:-o-linear-gradient(top, #222222, #111111);background-image:linear-gradient(to bottom, #222222, #111111);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff222222', endColorstr='#ff111111', GradientType=0);border-color:#252525;}
+.navbar-inverse .brand,.navbar-inverse .nav>li>a{color:#999999;text-shadow:0 -1px 0 rgba(0, 0, 0, 0.25);}.navbar-inverse .brand:hover,.navbar-inverse .nav>li>a:hover,.navbar-inverse .brand:focus,.navbar-inverse .nav>li>a:focus{color:#ffffff;}
+.navbar-inverse .brand{color:#999999;}
+.navbar-inverse .navbar-text{color:#999999;}
+.navbar-inverse .nav>li>a:focus,.navbar-inverse .nav>li>a:hover{background-color:transparent;color:#ffffff;}
+.navbar-inverse .nav .active>a,.navbar-inverse .nav .active>a:hover,.navbar-inverse .nav .active>a:focus{color:#ffffff;background-color:#111111;}
+.navbar-inverse .navbar-link{color:#999999;}.navbar-inverse .navbar-link:hover,.navbar-inverse .navbar-link:focus{color:#ffffff;}
+.navbar-inverse .divider-vertical{border-left-color:#111111;border-right-color:#222222;}
+.navbar-inverse .nav li.dropdown.open>.dropdown-toggle,.navbar-inverse .nav li.dropdown.active>.dropdown-toggle,.navbar-inverse .nav li.dropdown.open.active>.dropdown-toggle{background-color:#111111;color:#ffffff;}
+.navbar-inverse .nav li.dropdown>a:hover .caret,.navbar-inverse .nav li.dropdown>a:focus .caret{border-top-color:#ffffff;border-bottom-color:#ffffff;}
+.navbar-inverse .nav li.dropdown>.dropdown-toggle .caret{border-top-color:#999999;border-bottom-color:#999999;}
+.navbar-inverse .nav li.dropdown.open>.dropdown-toggle .caret,.navbar-inverse .nav li.dropdown.active>.dropdown-toggle .caret,.navbar-inverse .nav li.dropdown.open.active>.dropdown-toggle .caret{border-top-color:#ffffff;border-bottom-color:#ffffff;}
+.navbar-inverse .navbar-search .search-query{color:#ffffff;background-color:#515151;border-color:#111111;-webkit-box-shadow:inset 0 1px 2px rgba(0,0,0,.1), 0 1px 0 rgba(255,255,255,.15);-moz-box-shadow:inset 0 1px 2px rgba(0,0,0,.1), 0 1px 0 rgba(255,255,255,.15);box-shadow:inset 0 1px 2px rgba(0,0,0,.1), 0 1px 0 rgba(255,255,255,.15);-webkit-transition:none;-moz-transition:none;-o-transition:none;transition:none;}.navbar-inverse .navbar-search .search-query:-moz-placeholder{color:#cccccc;}
+.navbar-inverse .navbar-search .search-query:-ms-input-placeholder{color:#cccccc;}
+.navbar-inverse .navbar-search .search-query::-webkit-input-placeholder{color:#cccccc;}
+.navbar-inverse .navbar-search .search-query:focus,.navbar-inverse .navbar-search .search-query.focused{padding:5px 15px;color:#333333;text-shadow:0 1px 0 #ffffff;background-color:#ffffff;border:0;-webkit-box-shadow:0 0 3px rgba(0, 0, 0, 0.15);-moz-box-shadow:0 0 3px rgba(0, 0, 0, 0.15);box-shadow:0 0 3px rgba(0, 0, 0, 0.15);outline:0;}
+.navbar-inverse .btn-navbar{color:#ffffff;text-shadow:0 -1px 0 rgba(0, 0, 0, 0.25);background-color:#0e0e0e;background-image:-moz-linear-gradient(top, #151515, #040404);background-image:-webkit-gradient(linear, 0 0, 0 100%, from(#151515), to(#040404));background-image:-webkit-linear-gradient(top, #151515, #040404);background-image:-o-linear-gradient(top, #151515, #040404);background-image:linear-gradient(to bottom, #151515, #040404);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff151515', endColorstr='#ff040404', GradientType=0);border-color:#040404 #040404 #000000;border-color:rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);*background-color:#040404;filter:progid:DXImageTransform.Microsoft.gradient(enabled = false);}.navbar-inverse .btn-navbar:hover,.navbar-inverse .btn-navbar:focus,.navbar-inverse .btn-navbar:active,.navbar-inverse .btn-navbar.active,.navbar-inverse .btn-navbar.disabled,.navbar-inverse .btn-navbar[disabled]{color:#ffffff;background-color:#040404;*background-color:#000000;}
+.navbar-inverse .btn-navbar:active,.navbar-inverse .btn-navbar.active{background-color:#000000 \9;}
+.breadcrumb{padding:8px 15px;margin:0 0 20px;list-style:none;background-color:#f5f5f5;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;}.breadcrumb>li{display:inline-block;*display:inline;*zoom:1;text-shadow:0 1px 0 #ffffff;}.breadcrumb>li>.divider{padding:0 5px;color:#ccc;}
+.breadcrumb>.active{color:#999999;}
+.pagination{margin:20px 0;}
+.pagination ul{display:inline-block;*display:inline;*zoom:1;margin-left:0;margin-bottom:0;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;-webkit-box-shadow:0 1px 2px rgba(0, 0, 0, 0.05);-moz-box-shadow:0 1px 2px rgba(0, 0, 0, 0.05);box-shadow:0 1px 2px rgba(0, 0, 0, 0.05);}
+.pagination ul>li{display:inline;}
+.pagination ul>li>a,.pagination ul>li>span{float:left;padding:4px 12px;line-height:20px;text-decoration:none;background-color:#ffffff;border:1px solid #dddddd;border-left-width:0;}
+.pagination ul>li>a:hover,.pagination ul>li>a:focus,.pagination ul>.active>a,.pagination ul>.active>span{background-color:#f5f5f5;}
+.pagination ul>.active>a,.pagination ul>.active>span{color:#999999;cursor:default;}
+.pagination ul>.disabled>span,.pagination ul>.disabled>a,.pagination ul>.disabled>a:hover,.pagination ul>.disabled>a:focus{color:#999999;background-color:transparent;cursor:default;}
+.pagination ul>li:first-child>a,.pagination ul>li:first-child>span{border-left-width:1px;-webkit-border-top-left-radius:4px;-moz-border-radius-topleft:4px;border-top-left-radius:4px;-webkit-border-bottom-left-radius:4px;-moz-border-radius-bottomleft:4px;border-bottom-left-radius:4px;}
+.pagination ul>li:last-child>a,.pagination ul>li:last-child>span{-webkit-border-top-right-radius:4px;-moz-border-radius-topright:4px;border-top-right-radius:4px;-webkit-border-bottom-right-radius:4px;-moz-border-radius-bottomright:4px;border-bottom-right-radius:4px;}
+.pagination-centered{text-align:center;}
+.pagination-right{text-align:right;}
+.pagination-large ul>li>a,.pagination-large ul>li>span{padding:11px 19px;font-size:17.5px;}
+.pagination-large ul>li:first-child>a,.pagination-large ul>li:first-child>span{-webkit-border-top-left-radius:6px;-moz-border-radius-topleft:6px;border-top-left-radius:6px;-webkit-border-bottom-left-radius:6px;-moz-border-radius-bottomleft:6px;border-bottom-left-radius:6px;}
+.pagination-large ul>li:last-child>a,.pagination-large ul>li:last-child>span{-webkit-border-top-right-radius:6px;-moz-border-radius-topright:6px;border-top-right-radius:6px;-webkit-border-bottom-right-radius:6px;-moz-border-radius-bottomright:6px;border-bottom-right-radius:6px;}
+.pagination-mini ul>li:first-child>a,.pagination-small ul>li:first-child>a,.pagination-mini ul>li:first-child>span,.pagination-small ul>li:first-child>span{-webkit-border-top-left-radius:3px;-moz-border-radius-topleft:3px;border-top-left-radius:3px;-webkit-border-bottom-left-radius:3px;-moz-border-radius-bottomleft:3px;border-bottom-left-radius:3px;}
+.pagination-mini ul>li:last-child>a,.pagination-small ul>li:last-child>a,.pagination-mini ul>li:last-child>span,.pagination-small ul>li:last-child>span{-webkit-border-top-right-radius:3px;-moz-border-radius-topright:3px;border-top-right-radius:3px;-webkit-border-bottom-right-radius:3px;-moz-border-radius-bottomright:3px;border-bottom-right-radius:3px;}
+.pagination-small ul>li>a,.pagination-small ul>li>span{padding:2px 10px;font-size:11.9px;}
+.pagination-mini ul>li>a,.pagination-mini ul>li>span{padding:0 6px;font-size:10.5px;}
+.pager{margin:20px 0;list-style:none;text-align:center;*zoom:1;}.pager:before,.pager:after{display:table;content:"";line-height:0;}
+.pager:after{clear:both;}
+.pager li{display:inline;}
+.pager li>a,.pager li>span{display:inline-block;padding:5px 14px;background-color:#fff;border:1px solid #ddd;-webkit-border-radius:15px;-moz-border-radius:15px;border-radius:15px;}
+.pager li>a:hover,.pager li>a:focus{text-decoration:none;background-color:#f5f5f5;}
+.pager .next>a,.pager .next>span{float:right;}
+.pager .previous>a,.pager .previous>span{float:left;}
+.pager .disabled>a,.pager .disabled>a:hover,.pager .disabled>a:focus,.pager .disabled>span{color:#999999;background-color:#fff;cursor:default;}
+.thumbnails{margin-left:-20px;list-style:none;*zoom:1;}.thumbnails:before,.thumbnails:after{display:table;content:"";line-height:0;}
+.thumbnails:after{clear:both;}
+.row-fluid .thumbnails{margin-left:0;}
+.thumbnails>li{float:left;margin-bottom:20px;margin-left:20px;}
+.thumbnail{display:block;padding:4px;line-height:20px;border:1px solid #ddd;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;-webkit-box-shadow:0 1px 3px rgba(0, 0, 0, 0.055);-moz-box-shadow:0 1px 3px rgba(0, 0, 0, 0.055);box-shadow:0 1px 3px rgba(0, 0, 0, 0.055);-webkit-transition:all 0.2s ease-in-out;-moz-transition:all 0.2s ease-in-out;-o-transition:all 0.2s ease-in-out;transition:all 0.2s ease-in-out;}
+a.thumbnail:hover,a.thumbnail:focus{border-color:#0088cc;-webkit-box-shadow:0 1px 4px rgba(0, 105, 214, 0.25);-moz-box-shadow:0 1px 4px rgba(0, 105, 214, 0.25);box-shadow:0 1px 4px rgba(0, 105, 214, 0.25);}
+.thumbnail>img{display:block;max-width:100%;margin-left:auto;margin-right:auto;}
+.thumbnail .caption{padding:9px;color:#555555;}
+.alert{padding:8px 35px 8px 14px;margin-bottom:20px;text-shadow:0 1px 0 rgba(255, 255, 255, 0.5);background-color:#fcf8e3;border:1px solid #fbeed5;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;}
+.alert,.alert h4{color:#c09853;}
+.alert h4{margin:0;}
+.alert .close{position:relative;top:-2px;right:-21px;line-height:20px;}
+.alert-success{background-color:#dff0d8;border-color:#d6e9c6;color:#468847;}
+.alert-success h4{color:#468847;}
+.alert-danger,.alert-error{background-color:#f2dede;border-color:#eed3d7;color:#b94a48;}
+.alert-danger h4,.alert-error h4{color:#b94a48;}
+.alert-info{background-color:#d9edf7;border-color:#bce8f1;color:#3a87ad;}
+.alert-info h4{color:#3a87ad;}
+.alert-block{padding-top:14px;padding-bottom:14px;}
+.alert-block>p,.alert-block>ul{margin-bottom:0;}
+.alert-block p+p{margin-top:5px;}
+@-webkit-keyframes progress-bar-stripes{from{background-position:40px 0;} to{background-position:0 0;}}@-moz-keyframes progress-bar-stripes{from{background-position:40px 0;} to{background-position:0 0;}}@-ms-keyframes progress-bar-stripes{from{background-position:40px 0;} to{background-position:0 0;}}@-o-keyframes progress-bar-stripes{from{background-position:0 0;} to{background-position:40px 0;}}@keyframes progress-bar-stripes{from{background-position:40px 0;} to{background-position:0 0;}}.progress{overflow:hidden;height:20px;margin-bottom:20px;background-color:#f7f7f7;background-image:-moz-linear-gradient(top, #f5f5f5, #f9f9f9);background-image:-webkit-gradient(linear, 0 0, 0 100%, from(#f5f5f5), to(#f9f9f9));background-image:-webkit-linear-gradient(top, #f5f5f5, #f9f9f9);background-image:-o-linear-gradient(top, #f5f5f5, #f9f9f9);background-image:linear-gradient(to bottom, #f5f5f5, #f9f9f9);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#fff9f9f9', GradientType=0);-webkit-box-shadow:inset 0 1px 2px rgba(0, 0, 0, 0.1);-moz-box-shadow:inset 0 1px 2px rgba(0, 0, 0, 0.1);box-shadow:inset 0 1px 2px rgba(0, 0, 0, 0.1);-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;}
+.progress .bar{width:0%;height:100%;color:#ffffff;float:left;font-size:12px;text-align:center;text-shadow:0 -1px 0 rgba(0, 0, 0, 0.25);background-color:#0e90d2;background-image:-moz-linear-gradient(top, #149bdf, #0480be);background-image:-webkit-gradient(linear, 0 0, 0 100%, from(#149bdf), to(#0480be));background-image:-webkit-linear-gradient(top, #149bdf, #0480be);background-image:-o-linear-gradient(top, #149bdf, #0480be);background-image:linear-gradient(to bottom, #149bdf, #0480be);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff149bdf', endColorstr='#ff0480be', GradientType=0);-webkit-box-shadow:inset 0 -1px 0 rgba(0, 0, 0, 0.15);-moz-box-shadow:inset 0 -1px 0 rgba(0, 0, 0, 0.15);box-shadow:inset 0 -1px 0 rgba(0, 0, 0, 0.15);-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;-webkit-transition:width 0.6s ease;-moz-transition:width 0.6s ease;-o-transition:width 0.6s ease;transition:width 0.6s ease;}
+.progress .bar+.bar{-webkit-box-shadow:inset 1px 0 0 rgba(0,0,0,.15), inset 0 -1px 0 rgba(0,0,0,.15);-moz-box-shadow:inset 1px 0 0 rgba(0,0,0,.15), inset 0 -1px 0 rgba(0,0,0,.15);box-shadow:inset 1px 0 0 rgba(0,0,0,.15), inset 0 -1px 0 rgba(0,0,0,.15);}
+.progress-striped .bar{background-color:#149bdf;background-image:-webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent));background-image:-webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-image:-moz-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-image:-o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-image:linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);-webkit-background-size:40px 40px;-moz-background-size:40px 40px;-o-background-size:40px 40px;background-size:40px 40px;}
+.progress.active .bar{-webkit-animation:progress-bar-stripes 2s linear infinite;-moz-animation:progress-bar-stripes 2s linear infinite;-ms-animation:progress-bar-stripes 2s linear infinite;-o-animation:progress-bar-stripes 2s linear infinite;animation:progress-bar-stripes 2s linear infinite;}
+.progress-danger .bar,.progress .bar-danger{background-color:#dd514c;background-image:-moz-linear-gradient(top, #ee5f5b, #c43c35);background-image:-webkit-gradient(linear, 0 0, 0 100%, from(#ee5f5b), to(#c43c35));background-image:-webkit-linear-gradient(top, #ee5f5b, #c43c35);background-image:-o-linear-gradient(top, #ee5f5b, #c43c35);background-image:linear-gradient(to bottom, #ee5f5b, #c43c35);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffee5f5b', endColorstr='#ffc43c35', GradientType=0);}
+.progress-danger.progress-striped .bar,.progress-striped .bar-danger{background-color:#ee5f5b;background-image:-webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent));background-image:-webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-image:-moz-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-image:-o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-image:linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);}
+.progress-success .bar,.progress .bar-success{background-color:#5eb95e;background-image:-moz-linear-gradient(top, #62c462, #57a957);background-image:-webkit-gradient(linear, 0 0, 0 100%, from(#62c462), to(#57a957));background-image:-webkit-linear-gradient(top, #62c462, #57a957);background-image:-o-linear-gradient(top, #62c462, #57a957);background-image:linear-gradient(to bottom, #62c462, #57a957);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff62c462', endColorstr='#ff57a957', GradientType=0);}
+.progress-success.progress-striped .bar,.progress-striped .bar-success{background-color:#62c462;background-image:-webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent));background-image:-webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-image:-moz-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-image:-o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-image:linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);}
+.progress-info .bar,.progress .bar-info{background-color:#4bb1cf;background-image:-moz-linear-gradient(top, #5bc0de, #339bb9);background-image:-webkit-gradient(linear, 0 0, 0 100%, from(#5bc0de), to(#339bb9));background-image:-webkit-linear-gradient(top, #5bc0de, #339bb9);background-image:-o-linear-gradient(top, #5bc0de, #339bb9);background-image:linear-gradient(to bottom, #5bc0de, #339bb9);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff339bb9', GradientType=0);}
+.progress-info.progress-striped .bar,.progress-striped .bar-info{background-color:#5bc0de;background-image:-webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent));background-image:-webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-image:-moz-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-image:-o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-image:linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);}
+.progress-warning .bar,.progress .bar-warning{background-color:#faa732;background-image:-moz-linear-gradient(top, #fbb450, #f89406);background-image:-webkit-gradient(linear, 0 0, 0 100%, from(#fbb450), to(#f89406));background-image:-webkit-linear-gradient(top, #fbb450, #f89406);background-image:-o-linear-gradient(top, #fbb450, #f89406);background-image:linear-gradient(to bottom, #fbb450, #f89406);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffbb450', endColorstr='#fff89406', GradientType=0);}
+.progress-warning.progress-striped .bar,.progress-striped .bar-warning{background-color:#fbb450;background-image:-webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent));background-image:-webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-image:-moz-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-image:-o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-image:linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);}
+.hero-unit{padding:60px;margin-bottom:30px;font-size:18px;font-weight:200;line-height:30px;color:inherit;background-color:#eeeeee;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px;}.hero-unit h1{margin-bottom:0;font-size:60px;line-height:1;color:inherit;letter-spacing:-1px;}
+.hero-unit li{line-height:30px;}
+.media,.media-body{overflow:hidden;*overflow:visible;zoom:1;}
+.media,.media .media{margin-top:15px;}
+.media:first-child{margin-top:0;}
+.media-object{display:block;}
+.media-heading{margin:0 0 5px;}
+.media>.pull-left{margin-right:10px;}
+.media>.pull-right{margin-left:10px;}
+.media-list{margin-left:0;list-style:none;}
+.tooltip{position:absolute;z-index:1030;display:block;visibility:visible;font-size:11px;line-height:1.4;opacity:0;filter:alpha(opacity=0);}.tooltip.in{opacity:0.8;filter:alpha(opacity=80);}
+.tooltip.top{margin-top:-3px;padding:5px 0;}
+.tooltip.right{margin-left:3px;padding:0 5px;}
+.tooltip.bottom{margin-top:3px;padding:5px 0;}
+.tooltip.left{margin-left:-3px;padding:0 5px;}
+.tooltip-inner{max-width:200px;padding:8px;color:#ffffff;text-align:center;text-decoration:none;background-color:#000000;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;}
+.tooltip-arrow{position:absolute;width:0;height:0;border-color:transparent;border-style:solid;}
+.tooltip.top .tooltip-arrow{bottom:0;left:50%;margin-left:-5px;border-width:5px 5px 0;border-top-color:#000000;}
+.tooltip.right .tooltip-arrow{top:50%;left:0;margin-top:-5px;border-width:5px 5px 5px 0;border-right-color:#000000;}
+.tooltip.left .tooltip-arrow{top:50%;right:0;margin-top:-5px;border-width:5px 0 5px 5px;border-left-color:#000000;}
+.tooltip.bottom .tooltip-arrow{top:0;left:50%;margin-left:-5px;border-width:0 5px 5px;border-bottom-color:#000000;}
+.popover{position:absolute;top:0;left:0;z-index:1010;display:none;max-width:276px;padding:1px;text-align:left;background-color:#ffffff;-webkit-background-clip:padding-box;-moz-background-clip:padding;background-clip:padding-box;border:1px solid #ccc;border:1px solid rgba(0, 0, 0, 0.2);-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px;-webkit-box-shadow:0 5px 10px rgba(0, 0, 0, 0.2);-moz-box-shadow:0 5px 10px rgba(0, 0, 0, 0.2);box-shadow:0 5px 10px rgba(0, 0, 0, 0.2);white-space:normal;}.popover.top{margin-top:-10px;}
+.popover.right{margin-left:10px;}
+.popover.bottom{margin-top:10px;}
+.popover.left{margin-left:-10px;}
+.popover-title{margin:0;padding:8px 14px;font-size:14px;font-weight:normal;line-height:18px;background-color:#f7f7f7;border-bottom:1px solid #ebebeb;-webkit-border-radius:5px 5px 0 0;-moz-border-radius:5px 5px 0 0;border-radius:5px 5px 0 0;}.popover-title:empty{display:none;}
+.popover-content{padding:9px 14px;}
+.popover .arrow,.popover .arrow:after{position:absolute;display:block;width:0;height:0;border-color:transparent;border-style:solid;}
+.popover .arrow{border-width:11px;}
+.popover .arrow:after{border-width:10px;content:"";}
+.popover.top .arrow{left:50%;margin-left:-11px;border-bottom-width:0;border-top-color:#999;border-top-color:rgba(0, 0, 0, 0.25);bottom:-11px;}.popover.top .arrow:after{bottom:1px;margin-left:-10px;border-bottom-width:0;border-top-color:#ffffff;}
+.popover.right .arrow{top:50%;left:-11px;margin-top:-11px;border-left-width:0;border-right-color:#999;border-right-color:rgba(0, 0, 0, 0.25);}.popover.right .arrow:after{left:1px;bottom:-10px;border-left-width:0;border-right-color:#ffffff;}
+.popover.bottom .arrow{left:50%;margin-left:-11px;border-top-width:0;border-bottom-color:#999;border-bottom-color:rgba(0, 0, 0, 0.25);top:-11px;}.popover.bottom .arrow:after{top:1px;margin-left:-10px;border-top-width:0;border-bottom-color:#ffffff;}
+.popover.left .arrow{top:50%;right:-11px;margin-top:-11px;border-right-width:0;border-left-color:#999;border-left-color:rgba(0, 0, 0, 0.25);}.popover.left .arrow:after{right:1px;border-right-width:0;border-left-color:#ffffff;bottom:-10px;}
+.modal-backdrop{position:fixed;top:0;right:0;bottom:0;left:0;z-index:1040;background-color:#000000;}.modal-backdrop.fade{opacity:0;}
+.modal-backdrop,.modal-backdrop.fade.in{opacity:0.8;filter:alpha(opacity=80);}
+.modal{position:fixed;top:10%;left:50%;z-index:1050;width:560px;margin-left:-280px;background-color:#ffffff;border:1px solid #999;border:1px solid rgba(0, 0, 0, 0.3);*border:1px solid #999;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px;-webkit-box-shadow:0 3px 7px rgba(0, 0, 0, 0.3);-moz-box-shadow:0 3px 7px rgba(0, 0, 0, 0.3);box-shadow:0 3px 7px rgba(0, 0, 0, 0.3);-webkit-background-clip:padding-box;-moz-background-clip:padding-box;background-clip:padding-box;outline:none;}.modal.fade{-webkit-transition:opacity .3s linear, top .3s ease-out;-moz-transition:opacity .3s linear, top .3s ease-out;-o-transition:opacity .3s linear, top .3s ease-out;transition:opacity .3s linear, top .3s ease-out;top:-25%;}
+.modal.fade.in{top:10%;}
+.modal-header{padding:9px 15px;border-bottom:1px solid #eee;}.modal-header .close{margin-top:2px;}
+.modal-header h3{margin:0;line-height:30px;}
+.modal-body{position:relative;overflow-y:auto;max-height:400px;padding:15px;}
+.modal-form{margin-bottom:0;}
+.modal-footer{padding:14px 15px 15px;margin-bottom:0;text-align:right;background-color:#f5f5f5;border-top:1px solid #ddd;-webkit-border-radius:0 0 6px 6px;-moz-border-radius:0 0 6px 6px;border-radius:0 0 6px 6px;-webkit-box-shadow:inset 0 1px 0 #ffffff;-moz-box-shadow:inset 0 1px 0 #ffffff;box-shadow:inset 0 1px 0 #ffffff;*zoom:1;}.modal-footer:before,.modal-footer:after{display:table;content:"";line-height:0;}
+.modal-footer:after{clear:both;}
+.modal-footer .btn+.btn{margin-left:5px;margin-bottom:0;}
+.modal-footer .btn-group .btn+.btn{margin-left:-1px;}
+.modal-footer .btn-block+.btn-block{margin-left:0;}
+.dropup,.dropdown{position:relative;}
+.dropdown-toggle{*margin-bottom:-3px;}
+.dropdown-toggle:active,.open .dropdown-toggle{outline:0;}
+.caret{display:inline-block;width:0;height:0;vertical-align:top;border-top:4px solid #000000;border-right:4px solid transparent;border-left:4px solid transparent;content:"";}
+.dropdown .caret{margin-top:8px;margin-left:2px;}
+.dropdown-menu{position:absolute;top:100%;left:0;z-index:1000;display:none;float:left;min-width:160px;padding:5px 0;margin:2px 0 0;list-style:none;background-color:#ffffff;border:1px solid #ccc;border:1px solid rgba(0, 0, 0, 0.2);*border-right-width:2px;*border-bottom-width:2px;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px;-webkit-box-shadow:0 5px 10px rgba(0, 0, 0, 0.2);-moz-box-shadow:0 5px 10px rgba(0, 0, 0, 0.2);box-shadow:0 5px 10px rgba(0, 0, 0, 0.2);-webkit-background-clip:padding-box;-moz-background-clip:padding;background-clip:padding-box;}.dropdown-menu.pull-right{right:0;left:auto;}
+.dropdown-menu .divider{*width:100%;height:1px;margin:9px 1px;*margin:-5px 0 5px;overflow:hidden;background-color:#e5e5e5;border-bottom:1px solid #ffffff;}
+.dropdown-menu>li>a{display:block;padding:3px 20px;clear:both;font-weight:normal;line-height:20px;color:#333333;white-space:nowrap;}
+.dropdown-menu>li>a:hover,.dropdown-menu>li>a:focus,.dropdown-submenu:hover>a,.dropdown-submenu:focus>a{text-decoration:none;color:#ffffff;background-color:#0081c2;background-image:-moz-linear-gradient(top, #0088cc, #0077b3);background-image:-webkit-gradient(linear, 0 0, 0 100%, from(#0088cc), to(#0077b3));background-image:-webkit-linear-gradient(top, #0088cc, #0077b3);background-image:-o-linear-gradient(top, #0088cc, #0077b3);background-image:linear-gradient(to bottom, #0088cc, #0077b3);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff0088cc', endColorstr='#ff0077b3', GradientType=0);}
+.dropdown-menu>.active>a,.dropdown-menu>.active>a:hover,.dropdown-menu>.active>a:focus{color:#ffffff;text-decoration:none;outline:0;background-color:#0081c2;background-image:-moz-linear-gradient(top, #0088cc, #0077b3);background-image:-webkit-gradient(linear, 0 0, 0 100%, from(#0088cc), to(#0077b3));background-image:-webkit-linear-gradient(top, #0088cc, #0077b3);background-image:-o-linear-gradient(top, #0088cc, #0077b3);background-image:linear-gradient(to bottom, #0088cc, #0077b3);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff0088cc', endColorstr='#ff0077b3', GradientType=0);}
+.dropdown-menu>.disabled>a,.dropdown-menu>.disabled>a:hover,.dropdown-menu>.disabled>a:focus{color:#999999;}
+.dropdown-menu>.disabled>a:hover,.dropdown-menu>.disabled>a:focus{text-decoration:none;background-color:transparent;background-image:none;filter:progid:DXImageTransform.Microsoft.gradient(enabled = false);cursor:default;}
+.open{*z-index:1000;}.open>.dropdown-menu{display:block;}
+.dropdown-backdrop{position:fixed;left:0;right:0;bottom:0;top:0;z-index:990;}
+.pull-right>.dropdown-menu{right:0;left:auto;}
+.dropup .caret,.navbar-fixed-bottom .dropdown .caret{border-top:0;border-bottom:4px solid #000000;content:"";}
+.dropup .dropdown-menu,.navbar-fixed-bottom .dropdown .dropdown-menu{top:auto;bottom:100%;margin-bottom:1px;}
+.dropdown-submenu{position:relative;}
+.dropdown-submenu>.dropdown-menu{top:0;left:100%;margin-top:-6px;margin-left:-1px;-webkit-border-radius:0 6px 6px 6px;-moz-border-radius:0 6px 6px 6px;border-radius:0 6px 6px 6px;}
+.dropdown-submenu:hover>.dropdown-menu{display:block;}
+.dropup .dropdown-submenu>.dropdown-menu{top:auto;bottom:0;margin-top:0;margin-bottom:-2px;-webkit-border-radius:5px 5px 5px 0;-moz-border-radius:5px 5px 5px 0;border-radius:5px 5px 5px 0;}
+.dropdown-submenu>a:after{display:block;content:" ";float:right;width:0;height:0;border-color:transparent;border-style:solid;border-width:5px 0 5px 5px;border-left-color:#cccccc;margin-top:5px;margin-right:-10px;}
+.dropdown-submenu:hover>a:after{border-left-color:#ffffff;}
+.dropdown-submenu.pull-left{float:none;}.dropdown-submenu.pull-left>.dropdown-menu{left:-100%;margin-left:10px;-webkit-border-radius:6px 0 6px 6px;-moz-border-radius:6px 0 6px 6px;border-radius:6px 0 6px 6px;}
+.dropdown .dropdown-menu .nav-header{padding-left:20px;padding-right:20px;}
+.typeahead{z-index:1051;margin-top:2px;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;}
+.accordion{margin-bottom:20px;}
+.accordion-group{margin-bottom:2px;border:1px solid #e5e5e5;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;}
+.accordion-heading{border-bottom:0;}
+.accordion-heading .accordion-toggle{display:block;padding:8px 15px;}
+.accordion-toggle{cursor:pointer;}
+.accordion-inner{padding:9px 15px;border-top:1px solid #e5e5e5;}
+.carousel{position:relative;margin-bottom:20px;line-height:1;}
+.carousel-inner{overflow:hidden;width:100%;position:relative;}
+.carousel-inner>.item{display:none;position:relative;-webkit-transition:0.6s ease-in-out left;-moz-transition:0.6s ease-in-out left;-o-transition:0.6s ease-in-out left;transition:0.6s ease-in-out left;}.carousel-inner>.item>img,.carousel-inner>.item>a>img{display:block;line-height:1;}
+.carousel-inner>.active,.carousel-inner>.next,.carousel-inner>.prev{display:block;}
+.carousel-inner>.active{left:0;}
+.carousel-inner>.next,.carousel-inner>.prev{position:absolute;top:0;width:100%;}
+.carousel-inner>.next{left:100%;}
+.carousel-inner>.prev{left:-100%;}
+.carousel-inner>.next.left,.carousel-inner>.prev.right{left:0;}
+.carousel-inner>.active.left{left:-100%;}
+.carousel-inner>.active.right{left:100%;}
+.carousel-control{position:absolute;top:40%;left:15px;width:40px;height:40px;margin-top:-20px;font-size:60px;font-weight:100;line-height:30px;color:#ffffff;text-align:center;background:#222222;border:3px solid #ffffff;-webkit-border-radius:23px;-moz-border-radius:23px;border-radius:23px;opacity:0.5;filter:alpha(opacity=50);}.carousel-control.right{left:auto;right:15px;}
+.carousel-control:hover,.carousel-control:focus{color:#ffffff;text-decoration:none;opacity:0.9;filter:alpha(opacity=90);}
+.carousel-indicators{position:absolute;top:15px;right:15px;z-index:5;margin:0;list-style:none;}.carousel-indicators li{display:block;float:left;width:10px;height:10px;margin-left:5px;text-indent:-999px;background-color:#ccc;background-color:rgba(255, 255, 255, 0.25);border-radius:5px;}
+.carousel-indicators .active{background-color:#fff;}
+.carousel-caption{position:absolute;left:0;right:0;bottom:0;padding:15px;background:#333333;background:rgba(0, 0, 0, 0.75);}
+.carousel-caption h4,.carousel-caption p{color:#ffffff;line-height:20px;}
+.carousel-caption h4{margin:0 0 5px;}
+.carousel-caption p{margin-bottom:0;}
+.well{min-height:20px;padding:19px;margin-bottom:20px;background-color:#f5f5f5;border:1px solid #e3e3e3;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;-webkit-box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.05);-moz-box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.05);box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.05);}.well blockquote{border-color:#ddd;border-color:rgba(0, 0, 0, 0.15);}
+.well-large{padding:24px;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px;}
+.well-small{padding:9px;-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px;}
+.close{float:right;font-size:20px;font-weight:bold;line-height:20px;color:#000000;text-shadow:0 1px 0 #ffffff;opacity:0.2;filter:alpha(opacity=20);}.close:hover,.close:focus{color:#000000;text-decoration:none;cursor:pointer;opacity:0.4;filter:alpha(opacity=40);}
+button.close{padding:0;cursor:pointer;background:transparent;border:0;-webkit-appearance:none;}
+.pull-right{float:right;}
+.pull-left{float:left;}
+.hide{display:none;}
+.show{display:block;}
+.invisible{visibility:hidden;}
+.affix{position:fixed;}
+.fade{opacity:0;-webkit-transition:opacity 0.15s linear;-moz-transition:opacity 0.15s linear;-o-transition:opacity 0.15s linear;transition:opacity 0.15s linear;}.fade.in{opacity:1;}
+.collapse{position:relative;height:0;overflow:hidden;-webkit-transition:height 0.35s ease;-moz-transition:height 0.35s ease;-o-transition:height 0.35s ease;transition:height 0.35s ease;}.collapse.in{height:auto;}
+@-ms-viewport{width:device-width;}.hidden{display:none;visibility:hidden;}
+.visible-phone{display:none !important;}
+.visible-tablet{display:none !important;}
+.hidden-desktop{display:none !important;}
+.visible-desktop{display:inherit !important;}
+@media (min-width:768px) and (max-width:979px){.hidden-desktop{display:inherit !important;} .visible-desktop{display:none !important ;} .visible-tablet{display:inherit !important;} .hidden-tablet{display:none !important;}}@media (max-width:767px){.hidden-desktop{display:inherit !important;} .visible-desktop{display:none !important;} .visible-phone{display:inherit !important;} .hidden-phone{display:none !important;}}.visible-print{display:none !important;}
+@media print{.visible-print{display:inherit !important;} .hidden-print{display:none !important;}}@media (max-width:767px){body{padding-left:20px;padding-right:20px;} .navbar-fixed-top,.navbar-fixed-bottom,.navbar-static-top{margin-left:-20px;margin-right:-20px;} .container-fluid{padding:0;} .dl-horizontal dt{float:none;clear:none;width:auto;text-align:left;} .dl-horizontal dd{margin-left:0;} .container{width:auto;} .row-fluid{width:100%;} .row,.thumbnails{margin-left:0;} .thumbnails>li{float:none;margin-left:0;} [class*="span"],.uneditable-input[class*="span"],.row-fluid [class*="span"]{float:none;display:block;width:100%;margin-left:0;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;} .span12,.row-fluid .span12{width:100%;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;} .row-fluid [class*="offset"]:first-child{margin-left:0;} .input-large,.input-xlarge,.input-xxlarge,input[class*="span"],select[class*="span"],textarea[class*="span"],.uneditable-input{display:block;width:100%;min-height:30px;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;} .input-prepend input,.input-append input,.input-prepend input[class*="span"],.input-append input[class*="span"]{display:inline-block;width:auto;} .controls-row [class*="span"]+[class*="span"]{margin-left:0;} .modal{position:fixed;top:20px;left:20px;right:20px;width:auto;margin:0;}.modal.fade{top:-100px;} .modal.fade.in{top:20px;}}@media (max-width:480px){.nav-collapse{-webkit-transform:translate3d(0, 0, 0);} .page-header h1 small{display:block;line-height:20px;} input[type="checkbox"],input[type="radio"]{border:1px solid #ccc;} .form-horizontal .control-label{float:none;width:auto;padding-top:0;text-align:left;} .form-horizontal .controls{margin-left:0;} .form-horizontal .control-list{padding-top:0;} .form-horizontal .form-actions{padding-left:10px;padding-right:10px;} .media .pull-left,.media .pull-right{float:none;display:block;margin-bottom:10px;} .media-object{margin-right:0;margin-left:0;} .modal{top:10px;left:10px;right:10px;} .modal-header .close{padding:10px;margin:-10px;} .carousel-caption{position:static;}}@media (min-width:768px) and (max-width:979px){.row{margin-left:-20px;*zoom:1;}.row:before,.row:after{display:table;content:"";line-height:0;} .row:after{clear:both;} [class*="span"]{float:left;min-height:1px;margin-left:20px;} .container,.navbar-static-top .container,.navbar-fixed-top .container,.navbar-fixed-bottom .container{width:724px;} .span12{width:724px;} .span11{width:662px;} .span10{width:600px;} .span9{width:538px;} .span8{width:476px;} .span7{width:414px;} .span6{width:352px;} .span5{width:290px;} .span4{width:228px;} .span3{width:166px;} .span2{width:104px;} .span1{width:42px;} .offset12{margin-left:764px;} .offset11{margin-left:702px;} .offset10{margin-left:640px;} .offset9{margin-left:578px;} .offset8{margin-left:516px;} .offset7{margin-left:454px;} .offset6{margin-left:392px;} .offset5{margin-left:330px;} .offset4{margin-left:268px;} .offset3{margin-left:206px;} .offset2{margin-left:144px;} .offset1{margin-left:82px;} .row-fluid{width:100%;*zoom:1;}.row-fluid:before,.row-fluid:after{display:table;content:"";line-height:0;} .row-fluid:after{clear:both;} .row-fluid [class*="span"]{display:block;width:100%;min-height:30px;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;float:left;margin-left:2.7624309392265194%;*margin-left:2.709239449864817%;} .row-fluid [class*="span"]:first-child{margin-left:0;} .row-fluid .controls-row [class*="span"]+[class*="span"]{margin-left:2.7624309392265194%;} .row-fluid .span12{width:100%;*width:99.94680851063829%;} .row-fluid .span11{width:91.43646408839778%;*width:91.38327259903608%;} .row-fluid .span10{width:82.87292817679558%;*width:82.81973668743387%;} .row-fluid .span9{width:74.30939226519337%;*width:74.25620077583166%;} .row-fluid .span8{width:65.74585635359117%;*width:65.69266486422946%;} .row-fluid .span7{width:57.18232044198895%;*width:57.12912895262725%;} .row-fluid .span6{width:48.61878453038674%;*width:48.56559304102504%;} .row-fluid .span5{width:40.05524861878453%;*width:40.00205712942283%;} .row-fluid .span4{width:31.491712707182323%;*width:31.43852121782062%;} .row-fluid .span3{width:22.92817679558011%;*width:22.87498530621841%;} .row-fluid .span2{width:14.3646408839779%;*width:14.311449394616199%;} .row-fluid .span1{width:5.801104972375691%;*width:5.747913483013988%;} .row-fluid .offset12{margin-left:105.52486187845304%;*margin-left:105.41847889972962%;} .row-fluid .offset12:first-child{margin-left:102.76243093922652%;*margin-left:102.6560479605031%;} .row-fluid .offset11{margin-left:96.96132596685082%;*margin-left:96.8549429881274%;} .row-fluid .offset11:first-child{margin-left:94.1988950276243%;*margin-left:94.09251204890089%;} .row-fluid .offset10{margin-left:88.39779005524862%;*margin-left:88.2914070765252%;} .row-fluid .offset10:first-child{margin-left:85.6353591160221%;*margin-left:85.52897613729868%;} .row-fluid .offset9{margin-left:79.8342541436464%;*margin-left:79.72787116492299%;} .row-fluid .offset9:first-child{margin-left:77.07182320441989%;*margin-left:76.96544022569647%;} .row-fluid .offset8{margin-left:71.2707182320442%;*margin-left:71.16433525332079%;} .row-fluid .offset8:first-child{margin-left:68.50828729281768%;*margin-left:68.40190431409427%;} .row-fluid .offset7{margin-left:62.70718232044199%;*margin-left:62.600799341718584%;} .row-fluid .offset7:first-child{margin-left:59.94475138121547%;*margin-left:59.838368402492065%;} .row-fluid .offset6{margin-left:54.14364640883978%;*margin-left:54.037263430116376%;} .row-fluid .offset6:first-child{margin-left:51.38121546961326%;*margin-left:51.27483249088986%;} .row-fluid .offset5{margin-left:45.58011049723757%;*margin-left:45.47372751851417%;} .row-fluid .offset5:first-child{margin-left:42.81767955801105%;*margin-left:42.71129657928765%;} .row-fluid .offset4{margin-left:37.01657458563536%;*margin-left:36.91019160691196%;} .row-fluid .offset4:first-child{margin-left:34.25414364640884%;*margin-left:34.14776066768544%;} .row-fluid .offset3{margin-left:28.45303867403315%;*margin-left:28.346655695309746%;} .row-fluid .offset3:first-child{margin-left:25.69060773480663%;*margin-left:25.584224756083227%;} .row-fluid .offset2{margin-left:19.88950276243094%;*margin-left:19.783119783707537%;} .row-fluid .offset2:first-child{margin-left:17.12707182320442%;*margin-left:17.02068884448102%;} .row-fluid .offset1{margin-left:11.32596685082873%;*margin-left:11.219583872105325%;} .row-fluid .offset1:first-child{margin-left:8.56353591160221%;*margin-left:8.457152932878806%;} input,textarea,.uneditable-input{margin-left:0;} .controls-row [class*="span"]+[class*="span"]{margin-left:20px;} input.span12,textarea.span12,.uneditable-input.span12{width:710px;} input.span11,textarea.span11,.uneditable-input.span11{width:648px;} input.span10,textarea.span10,.uneditable-input.span10{width:586px;} input.span9,textarea.span9,.uneditable-input.span9{width:524px;} input.span8,textarea.span8,.uneditable-input.span8{width:462px;} input.span7,textarea.span7,.uneditable-input.span7{width:400px;} input.span6,textarea.span6,.uneditable-input.span6{width:338px;} input.span5,textarea.span5,.uneditable-input.span5{width:276px;} input.span4,textarea.span4,.uneditable-input.span4{width:214px;} input.span3,textarea.span3,.uneditable-input.span3{width:152px;} input.span2,textarea.span2,.uneditable-input.span2{width:90px;} input.span1,textarea.span1,.uneditable-input.span1{width:28px;}}@media (min-width:1200px){.row{margin-left:-30px;*zoom:1;}.row:before,.row:after{display:table;content:"";line-height:0;} .row:after{clear:both;} [class*="span"]{float:left;min-height:1px;margin-left:30px;} .container,.navbar-static-top .container,.navbar-fixed-top .container,.navbar-fixed-bottom .container{width:1170px;} .span12{width:1170px;} .span11{width:1070px;} .span10{width:970px;} .span9{width:870px;} .span8{width:770px;} .span7{width:670px;} .span6{width:570px;} .span5{width:470px;} .span4{width:370px;} .span3{width:270px;} .span2{width:170px;} .span1{width:70px;} .offset12{margin-left:1230px;} .offset11{margin-left:1130px;} .offset10{margin-left:1030px;} .offset9{margin-left:930px;} .offset8{margin-left:830px;} .offset7{margin-left:730px;} .offset6{margin-left:630px;} .offset5{margin-left:530px;} .offset4{margin-left:430px;} .offset3{margin-left:330px;} .offset2{margin-left:230px;} .offset1{margin-left:130px;} .row-fluid{width:100%;*zoom:1;}.row-fluid:before,.row-fluid:after{display:table;content:"";line-height:0;} .row-fluid:after{clear:both;} .row-fluid [class*="span"]{display:block;width:100%;min-height:30px;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;float:left;margin-left:2.564102564102564%;*margin-left:2.5109110747408616%;} .row-fluid [class*="span"]:first-child{margin-left:0;} .row-fluid .controls-row [class*="span"]+[class*="span"]{margin-left:2.564102564102564%;} .row-fluid .span12{width:100%;*width:99.94680851063829%;} .row-fluid .span11{width:91.45299145299145%;*width:91.39979996362975%;} .row-fluid .span10{width:82.90598290598291%;*width:82.8527914166212%;} .row-fluid .span9{width:74.35897435897436%;*width:74.30578286961266%;} .row-fluid .span8{width:65.81196581196582%;*width:65.75877432260411%;} .row-fluid .span7{width:57.26495726495726%;*width:57.21176577559556%;} .row-fluid .span6{width:48.717948717948715%;*width:48.664757228587014%;} .row-fluid .span5{width:40.17094017094017%;*width:40.11774868157847%;} .row-fluid .span4{width:31.623931623931625%;*width:31.570740134569924%;} .row-fluid .span3{width:23.076923076923077%;*width:23.023731587561375%;} .row-fluid .span2{width:14.52991452991453%;*width:14.476723040552828%;} .row-fluid .span1{width:5.982905982905983%;*width:5.929714493544281%;} .row-fluid .offset12{margin-left:105.12820512820512%;*margin-left:105.02182214948171%;} .row-fluid .offset12:first-child{margin-left:102.56410256410257%;*margin-left:102.45771958537915%;} .row-fluid .offset11{margin-left:96.58119658119658%;*margin-left:96.47481360247316%;} .row-fluid .offset11:first-child{margin-left:94.01709401709402%;*margin-left:93.91071103837061%;} .row-fluid .offset10{margin-left:88.03418803418803%;*margin-left:87.92780505546462%;} .row-fluid .offset10:first-child{margin-left:85.47008547008548%;*margin-left:85.36370249136206%;} .row-fluid .offset9{margin-left:79.48717948717949%;*margin-left:79.38079650845607%;} .row-fluid .offset9:first-child{margin-left:76.92307692307693%;*margin-left:76.81669394435352%;} .row-fluid .offset8{margin-left:70.94017094017094%;*margin-left:70.83378796144753%;} .row-fluid .offset8:first-child{margin-left:68.37606837606839%;*margin-left:68.26968539734497%;} .row-fluid .offset7{margin-left:62.393162393162385%;*margin-left:62.28677941443899%;} .row-fluid .offset7:first-child{margin-left:59.82905982905982%;*margin-left:59.72267685033642%;} .row-fluid .offset6{margin-left:53.84615384615384%;*margin-left:53.739770867430444%;} .row-fluid .offset6:first-child{margin-left:51.28205128205128%;*margin-left:51.175668303327875%;} .row-fluid .offset5{margin-left:45.299145299145295%;*margin-left:45.1927623204219%;} .row-fluid .offset5:first-child{margin-left:42.73504273504273%;*margin-left:42.62865975631933%;} .row-fluid .offset4{margin-left:36.75213675213675%;*margin-left:36.645753773413354%;} .row-fluid .offset4:first-child{margin-left:34.18803418803419%;*margin-left:34.081651209310785%;} .row-fluid .offset3{margin-left:28.205128205128204%;*margin-left:28.0987452264048%;} .row-fluid .offset3:first-child{margin-left:25.641025641025642%;*margin-left:25.53464266230224%;} .row-fluid .offset2{margin-left:19.65811965811966%;*margin-left:19.551736679396257%;} .row-fluid .offset2:first-child{margin-left:17.094017094017094%;*margin-left:16.98763411529369%;} .row-fluid .offset1{margin-left:11.11111111111111%;*margin-left:11.004728132387708%;} .row-fluid .offset1:first-child{margin-left:8.547008547008547%;*margin-left:8.440625568285142%;} input,textarea,.uneditable-input{margin-left:0;} .controls-row [class*="span"]+[class*="span"]{margin-left:30px;} input.span12,textarea.span12,.uneditable-input.span12{width:1156px;} input.span11,textarea.span11,.uneditable-input.span11{width:1056px;} input.span10,textarea.span10,.uneditable-input.span10{width:956px;} input.span9,textarea.span9,.uneditable-input.span9{width:856px;} input.span8,textarea.span8,.uneditable-input.span8{width:756px;} input.span7,textarea.span7,.uneditable-input.span7{width:656px;} input.span6,textarea.span6,.uneditable-input.span6{width:556px;} input.span5,textarea.span5,.uneditable-input.span5{width:456px;} input.span4,textarea.span4,.uneditable-input.span4{width:356px;} input.span3,textarea.span3,.uneditable-input.span3{width:256px;} input.span2,textarea.span2,.uneditable-input.span2{width:156px;} input.span1,textarea.span1,.uneditable-input.span1{width:56px;} .thumbnails{margin-left:-30px;} .thumbnails>li{margin-left:30px;} .row-fluid .thumbnails{margin-left:0;}}@media (max-width:979px){body{padding-top:0;} .navbar-fixed-top,.navbar-fixed-bottom{position:static;} .navbar-fixed-top{margin-bottom:20px;} .navbar-fixed-bottom{margin-top:20px;} .navbar-fixed-top .navbar-inner,.navbar-fixed-bottom .navbar-inner{padding:5px;} .navbar .container{width:auto;padding:0;} .navbar .brand{padding-left:10px;padding-right:10px;margin:0 0 0 -5px;} .nav-collapse{clear:both;} .nav-collapse .nav{float:none;margin:0 0 10px;} .nav-collapse .nav>li{float:none;} .nav-collapse .nav>li>a{margin-bottom:2px;} .nav-collapse .nav>.divider-vertical{display:none;} .nav-collapse .nav .nav-header{color:#777777;text-shadow:none;} .nav-collapse .nav>li>a,.nav-collapse .dropdown-menu a{padding:9px 15px;font-weight:bold;color:#777777;-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px;} .nav-collapse .btn{padding:4px 10px 4px;font-weight:normal;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;} .nav-collapse .dropdown-menu li+li a{margin-bottom:2px;} .nav-collapse .nav>li>a:hover,.nav-collapse .nav>li>a:focus,.nav-collapse .dropdown-menu a:hover,.nav-collapse .dropdown-menu a:focus{background-color:#f2f2f2;} .navbar-inverse .nav-collapse .nav>li>a,.navbar-inverse .nav-collapse .dropdown-menu a{color:#999999;} .navbar-inverse .nav-collapse .nav>li>a:hover,.navbar-inverse .nav-collapse .nav>li>a:focus,.navbar-inverse .nav-collapse .dropdown-menu a:hover,.navbar-inverse .nav-collapse .dropdown-menu a:focus{background-color:#111111;} .nav-collapse.in .btn-group{margin-top:5px;padding:0;} .nav-collapse .dropdown-menu{position:static;top:auto;left:auto;float:none;display:none;max-width:none;margin:0 15px;padding:0;background-color:transparent;border:none;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0;-webkit-box-shadow:none;-moz-box-shadow:none;box-shadow:none;} .nav-collapse .open>.dropdown-menu{display:block;} .nav-collapse .dropdown-menu:before,.nav-collapse .dropdown-menu:after{display:none;} .nav-collapse .dropdown-menu .divider{display:none;} .nav-collapse .nav>li>.dropdown-menu:before,.nav-collapse .nav>li>.dropdown-menu:after{display:none;} .nav-collapse .navbar-form,.nav-collapse .navbar-search{float:none;padding:10px 15px;margin:10px 0;border-top:1px solid #f2f2f2;border-bottom:1px solid #f2f2f2;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,.1), 0 1px 0 rgba(255,255,255,.1);-moz-box-shadow:inset 0 1px 0 rgba(255,255,255,.1), 0 1px 0 rgba(255,255,255,.1);box-shadow:inset 0 1px 0 rgba(255,255,255,.1), 0 1px 0 rgba(255,255,255,.1);} .navbar-inverse .nav-collapse .navbar-form,.navbar-inverse .nav-collapse .navbar-search{border-top-color:#111111;border-bottom-color:#111111;} .navbar .nav-collapse .nav.pull-right{float:none;margin-left:0;} .nav-collapse,.nav-collapse.collapse{overflow:hidden;height:0;} .navbar .btn-navbar{display:block;} .navbar-static .navbar-inner{padding-left:10px;padding-right:10px;}}@media (min-width:980px){.nav-collapse.collapse{height:auto !important;overflow:visible !important;}}
diff --git a/core/src/main/resources/spark/ui/static/sorttable.js b/core/src/main/resources/org/apache/spark/ui/static/sorttable.js
index 7abb9011cc..7abb9011cc 100644
--- a/core/src/main/resources/spark/ui/static/sorttable.js
+++ b/core/src/main/resources/org/apache/spark/ui/static/sorttable.js
diff --git a/core/src/main/resources/spark/ui/static/spark-logo-77x50px-hd.png b/core/src/main/resources/org/apache/spark/ui/static/spark-logo-77x50px-hd.png
index 6c5f0993c4..6c5f0993c4 100644
--- a/core/src/main/resources/spark/ui/static/spark-logo-77x50px-hd.png
+++ b/core/src/main/resources/org/apache/spark/ui/static/spark-logo-77x50px-hd.png
diff --git a/core/src/main/resources/spark/ui/static/spark_logo.png b/core/src/main/resources/org/apache/spark/ui/static/spark_logo.png
index 4b18734779..4b18734779 100644
--- a/core/src/main/resources/spark/ui/static/spark_logo.png
+++ b/core/src/main/resources/org/apache/spark/ui/static/spark_logo.png
diff --git a/core/src/main/resources/org/apache/spark/ui/static/webui.css b/core/src/main/resources/org/apache/spark/ui/static/webui.css
new file mode 100644
index 0000000000..fe54c34ffb
--- /dev/null
+++ b/core/src/main/resources/org/apache/spark/ui/static/webui.css
@@ -0,0 +1,80 @@
+/*
+ * 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.
+ */
+
+.navbar {
+  height: 50px;
+  font-size: 15px;
+  margin-bottom: 15px;
+}
+
+.navbar .navbar-inner {
+  height: 50px;
+}
+
+.navbar .brand {
+  margin-right: 20px;
+  margin-bottom: 0;
+  margin-top: 0;
+  margin-left: 10px;
+  padding: 0;
+}
+
+.navbar .nav > li {
+  height: 50px;
+}
+
+.navbar .nav > li a {
+  height: 30px;
+  line-height: 30px;
+}
+
+.navbar-text {
+  height: 50px;
+  line-height: 50px;
+}
+
+table.sortable thead {
+  cursor: pointer;
+}
+
+.progress {
+  margin-bottom: 0px; position: relative
+}
+
+.progress-completed .bar,
+.progress .bar-completed {
+  background-color: #3EC0FF;
+  background-image: -moz-linear-gradient(top, #44CBFF, #34B0EE);
+  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#44CBFF), to(#34B0EE));
+  background-image: -webkit-linear-gradient(top, #44CBFF, #34B0EE);
+  background-image: -o-linear-gradient(top, #44CBFF, #34B0EE);
+  background-image: linear-gradient(to bottom, #64CBFF, #54B0EE);
+  background-repeat: repeat-x;
+  filter: progid:dximagetransform.microsoft.gradient(startColorstr='#FF44CBFF', endColorstr='#FF34B0EE', GradientType=0);
+}
+
+.progress-running .bar,
+.progress .bar-running {
+  background-color: #A0DFFF;
+  background-image: -moz-linear-gradient(top, #A4EDFF, #94DDFF);
+  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#A4EDFF), to(#94DDFF));
+  background-image: -webkit-linear-gradient(top, #A4EDFF, #94DDFF);
+  background-image: -o-linear-gradient(top, #A4EDFF, #94DDFF);
+  background-image: linear-gradient(to bottom, #A4EDFF, #94DDFF);
+  background-repeat: repeat-x;
+  filter: progid:dximagetransform.microsoft.gradient(startColorstr='#FFA4EDFF', endColorstr='#FF94DDFF', GradientType=0);
+}
diff --git a/core/src/main/resources/spark/ui/static/bootstrap-responsive.min.css b/core/src/main/resources/spark/ui/static/bootstrap-responsive.min.css
deleted file mode 100644
index f4ede63f32..0000000000
--- a/core/src/main/resources/spark/ui/static/bootstrap-responsive.min.css
+++ /dev/null
@@ -1,9 +0,0 @@
-/*!
- * Bootstrap Responsive v2.3.2
- *
- * Copyright 2012 Twitter, Inc
- * Licensed under the Apache License v2.0
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Designed and built with all the love in the world @twitter by @mdo and @fat.
- */.clearfix{*zoom:1}.clearfix:before,.clearfix:after{display:table;line-height:0;content:""}.clearfix:after{clear:both}.hide-text{font:0/0 a;color:transparent;text-shadow:none;background-color:transparent;border:0}.input-block-level{display:block;width:100%;min-height:30px;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}@-ms-viewport{width:device-width}.hidden{display:none;visibility:hidden}.visible-phone{display:none!important}.visible-tablet{display:none!important}.hidden-desktop{display:none!important}.visible-desktop{display:inherit!important}@media(min-width:768px) and (max-width:979px){.hidden-desktop{display:inherit!important}.visible-desktop{display:none!important}.visible-tablet{display:inherit!important}.hidden-tablet{display:none!important}}@media(max-width:767px){.hidden-desktop{display:inherit!important}.visible-desktop{display:none!important}.visible-phone{display:inherit!important}.hidden-phone{display:none!important}}.visible-print{display:none!important}@media print{.visible-print{display:inherit!important}.hidden-print{display:none!important}}@media(min-width:1200px){.row{margin-left:-30px;*zoom:1}.row:before,.row:after{display:table;line-height:0;content:""}.row:after{clear:both}[class*="span"]{float:left;min-height:1px;margin-left:30px}.container,.navbar-static-top .container,.navbar-fixed-top .container,.navbar-fixed-bottom .container{width:1170px}.span12{width:1170px}.span11{width:1070px}.span10{width:970px}.span9{width:870px}.span8{width:770px}.span7{width:670px}.span6{width:570px}.span5{width:470px}.span4{width:370px}.span3{width:270px}.span2{width:170px}.span1{width:70px}.offset12{margin-left:1230px}.offset11{margin-left:1130px}.offset10{margin-left:1030px}.offset9{margin-left:930px}.offset8{margin-left:830px}.offset7{margin-left:730px}.offset6{margin-left:630px}.offset5{margin-left:530px}.offset4{margin-left:430px}.offset3{margin-left:330px}.offset2{margin-left:230px}.offset1{margin-left:130px}.row-fluid{width:100%;*zoom:1}.row-fluid:before,.row-fluid:after{display:table;line-height:0;content:""}.row-fluid:after{clear:both}.row-fluid [class*="span"]{display:block;float:left;width:100%;min-height:30px;margin-left:2.564102564102564%;*margin-left:2.5109110747408616%;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}.row-fluid [class*="span"]:first-child{margin-left:0}.row-fluid .controls-row [class*="span"]+[class*="span"]{margin-left:2.564102564102564%}.row-fluid .span12{width:100%;*width:99.94680851063829%}.row-fluid .span11{width:91.45299145299145%;*width:91.39979996362975%}.row-fluid .span10{width:82.90598290598291%;*width:82.8527914166212%}.row-fluid .span9{width:74.35897435897436%;*width:74.30578286961266%}.row-fluid .span8{width:65.81196581196582%;*width:65.75877432260411%}.row-fluid .span7{width:57.26495726495726%;*width:57.21176577559556%}.row-fluid .span6{width:48.717948717948715%;*width:48.664757228587014%}.row-fluid .span5{width:40.17094017094017%;*width:40.11774868157847%}.row-fluid .span4{width:31.623931623931625%;*width:31.570740134569924%}.row-fluid .span3{width:23.076923076923077%;*width:23.023731587561375%}.row-fluid .span2{width:14.52991452991453%;*width:14.476723040552828%}.row-fluid .span1{width:5.982905982905983%;*width:5.929714493544281%}.row-fluid .offset12{margin-left:105.12820512820512%;*margin-left:105.02182214948171%}.row-fluid .offset12:first-child{margin-left:102.56410256410257%;*margin-left:102.45771958537915%}.row-fluid .offset11{margin-left:96.58119658119658%;*margin-left:96.47481360247316%}.row-fluid .offset11:first-child{margin-left:94.01709401709402%;*margin-left:93.91071103837061%}.row-fluid .offset10{margin-left:88.03418803418803%;*margin-left:87.92780505546462%}.row-fluid .offset10:first-child{margin-left:85.47008547008548%;*margin-left:85.36370249136206%}.row-fluid .offset9{margin-left:79.48717948717949%;*margin-left:79.38079650845607%}.row-fluid .offset9:first-child{margin-left:76.92307692307693%;*margin-left:76.81669394435352%}.row-fluid .offset8{margin-left:70.94017094017094%;*margin-left:70.83378796144753%}.row-fluid .offset8:first-child{margin-left:68.37606837606839%;*margin-left:68.26968539734497%}.row-fluid .offset7{margin-left:62.393162393162385%;*margin-left:62.28677941443899%}.row-fluid .offset7:first-child{margin-left:59.82905982905982%;*margin-left:59.72267685033642%}.row-fluid .offset6{margin-left:53.84615384615384%;*margin-left:53.739770867430444%}.row-fluid .offset6:first-child{margin-left:51.28205128205128%;*margin-left:51.175668303327875%}.row-fluid .offset5{margin-left:45.299145299145295%;*margin-left:45.1927623204219%}.row-fluid .offset5:first-child{margin-left:42.73504273504273%;*margin-left:42.62865975631933%}.row-fluid .offset4{margin-left:36.75213675213675%;*margin-left:36.645753773413354%}.row-fluid .offset4:first-child{margin-left:34.18803418803419%;*margin-left:34.081651209310785%}.row-fluid .offset3{margin-left:28.205128205128204%;*margin-left:28.0987452264048%}.row-fluid .offset3:first-child{margin-left:25.641025641025642%;*margin-left:25.53464266230224%}.row-fluid .offset2{margin-left:19.65811965811966%;*margin-left:19.551736679396257%}.row-fluid .offset2:first-child{margin-left:17.094017094017094%;*margin-left:16.98763411529369%}.row-fluid .offset1{margin-left:11.11111111111111%;*margin-left:11.004728132387708%}.row-fluid .offset1:first-child{margin-left:8.547008547008547%;*margin-left:8.440625568285142%}input,textarea,.uneditable-input{margin-left:0}.controls-row [class*="span"]+[class*="span"]{margin-left:30px}input.span12,textarea.span12,.uneditable-input.span12{width:1156px}input.span11,textarea.span11,.uneditable-input.span11{width:1056px}input.span10,textarea.span10,.uneditable-input.span10{width:956px}input.span9,textarea.span9,.uneditable-input.span9{width:856px}input.span8,textarea.span8,.uneditable-input.span8{width:756px}input.span7,textarea.span7,.uneditable-input.span7{width:656px}input.span6,textarea.span6,.uneditable-input.span6{width:556px}input.span5,textarea.span5,.uneditable-input.span5{width:456px}input.span4,textarea.span4,.uneditable-input.span4{width:356px}input.span3,textarea.span3,.uneditable-input.span3{width:256px}input.span2,textarea.span2,.uneditable-input.span2{width:156px}input.span1,textarea.span1,.uneditable-input.span1{width:56px}.thumbnails{margin-left:-30px}.thumbnails>li{margin-left:30px}.row-fluid .thumbnails{margin-left:0}}@media(min-width:768px) and (max-width:979px){.row{margin-left:-20px;*zoom:1}.row:before,.row:after{display:table;line-height:0;content:""}.row:after{clear:both}[class*="span"]{float:left;min-height:1px;margin-left:20px}.container,.navbar-static-top .container,.navbar-fixed-top .container,.navbar-fixed-bottom .container{width:724px}.span12{width:724px}.span11{width:662px}.span10{width:600px}.span9{width:538px}.span8{width:476px}.span7{width:414px}.span6{width:352px}.span5{width:290px}.span4{width:228px}.span3{width:166px}.span2{width:104px}.span1{width:42px}.offset12{margin-left:764px}.offset11{margin-left:702px}.offset10{margin-left:640px}.offset9{margin-left:578px}.offset8{margin-left:516px}.offset7{margin-left:454px}.offset6{margin-left:392px}.offset5{margin-left:330px}.offset4{margin-left:268px}.offset3{margin-left:206px}.offset2{margin-left:144px}.offset1{margin-left:82px}.row-fluid{width:100%;*zoom:1}.row-fluid:before,.row-fluid:after{display:table;line-height:0;content:""}.row-fluid:after{clear:both}.row-fluid [class*="span"]{display:block;float:left;width:100%;min-height:30px;margin-left:2.7624309392265194%;*margin-left:2.709239449864817%;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}.row-fluid [class*="span"]:first-child{margin-left:0}.row-fluid .controls-row [class*="span"]+[class*="span"]{margin-left:2.7624309392265194%}.row-fluid .span12{width:100%;*width:99.94680851063829%}.row-fluid .span11{width:91.43646408839778%;*width:91.38327259903608%}.row-fluid .span10{width:82.87292817679558%;*width:82.81973668743387%}.row-fluid .span9{width:74.30939226519337%;*width:74.25620077583166%}.row-fluid .span8{width:65.74585635359117%;*width:65.69266486422946%}.row-fluid .span7{width:57.18232044198895%;*width:57.12912895262725%}.row-fluid .span6{width:48.61878453038674%;*width:48.56559304102504%}.row-fluid .span5{width:40.05524861878453%;*width:40.00205712942283%}.row-fluid .span4{width:31.491712707182323%;*width:31.43852121782062%}.row-fluid .span3{width:22.92817679558011%;*width:22.87498530621841%}.row-fluid .span2{width:14.3646408839779%;*width:14.311449394616199%}.row-fluid .span1{width:5.801104972375691%;*width:5.747913483013988%}.row-fluid .offset12{margin-left:105.52486187845304%;*margin-left:105.41847889972962%}.row-fluid .offset12:first-child{margin-left:102.76243093922652%;*margin-left:102.6560479605031%}.row-fluid .offset11{margin-left:96.96132596685082%;*margin-left:96.8549429881274%}.row-fluid .offset11:first-child{margin-left:94.1988950276243%;*margin-left:94.09251204890089%}.row-fluid .offset10{margin-left:88.39779005524862%;*margin-left:88.2914070765252%}.row-fluid .offset10:first-child{margin-left:85.6353591160221%;*margin-left:85.52897613729868%}.row-fluid .offset9{margin-left:79.8342541436464%;*margin-left:79.72787116492299%}.row-fluid .offset9:first-child{margin-left:77.07182320441989%;*margin-left:76.96544022569647%}.row-fluid .offset8{margin-left:71.2707182320442%;*margin-left:71.16433525332079%}.row-fluid .offset8:first-child{margin-left:68.50828729281768%;*margin-left:68.40190431409427%}.row-fluid .offset7{margin-left:62.70718232044199%;*margin-left:62.600799341718584%}.row-fluid .offset7:first-child{margin-left:59.94475138121547%;*margin-left:59.838368402492065%}.row-fluid .offset6{margin-left:54.14364640883978%;*margin-left:54.037263430116376%}.row-fluid .offset6:first-child{margin-left:51.38121546961326%;*margin-left:51.27483249088986%}.row-fluid .offset5{margin-left:45.58011049723757%;*margin-left:45.47372751851417%}.row-fluid .offset5:first-child{margin-left:42.81767955801105%;*margin-left:42.71129657928765%}.row-fluid .offset4{margin-left:37.01657458563536%;*margin-left:36.91019160691196%}.row-fluid .offset4:first-child{margin-left:34.25414364640884%;*margin-left:34.14776066768544%}.row-fluid .offset3{margin-left:28.45303867403315%;*margin-left:28.346655695309746%}.row-fluid .offset3:first-child{margin-left:25.69060773480663%;*margin-left:25.584224756083227%}.row-fluid .offset2{margin-left:19.88950276243094%;*margin-left:19.783119783707537%}.row-fluid .offset2:first-child{margin-left:17.12707182320442%;*margin-left:17.02068884448102%}.row-fluid .offset1{margin-left:11.32596685082873%;*margin-left:11.219583872105325%}.row-fluid .offset1:first-child{margin-left:8.56353591160221%;*margin-left:8.457152932878806%}input,textarea,.uneditable-input{margin-left:0}.controls-row [class*="span"]+[class*="span"]{margin-left:20px}input.span12,textarea.span12,.uneditable-input.span12{width:710px}input.span11,textarea.span11,.uneditable-input.span11{width:648px}input.span10,textarea.span10,.uneditable-input.span10{width:586px}input.span9,textarea.span9,.uneditable-input.span9{width:524px}input.span8,textarea.span8,.uneditable-input.span8{width:462px}input.span7,textarea.span7,.uneditable-input.span7{width:400px}input.span6,textarea.span6,.uneditable-input.span6{width:338px}input.span5,textarea.span5,.uneditable-input.span5{width:276px}input.span4,textarea.span4,.uneditable-input.span4{width:214px}input.span3,textarea.span3,.uneditable-input.span3{width:152px}input.span2,textarea.span2,.uneditable-input.span2{width:90px}input.span1,textarea.span1,.uneditable-input.span1{width:28px}}@media(max-width:767px){body{padding-right:20px;padding-left:20px}.navbar-fixed-top,.navbar-fixed-bottom,.navbar-static-top{margin-right:-20px;margin-left:-20px}.container-fluid{padding:0}.dl-horizontal dt{float:none;width:auto;clear:none;text-align:left}.dl-horizontal dd{margin-left:0}.container{width:auto}.row-fluid{width:100%}.row,.thumbnails{margin-left:0}.thumbnails>li{float:none;margin-left:0}[class*="span"],.uneditable-input[class*="span"],.row-fluid [class*="span"]{display:block;float:none;width:100%;margin-left:0;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}.span12,.row-fluid .span12{width:100%;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}.row-fluid [class*="offset"]:first-child{margin-left:0}.input-large,.input-xlarge,.input-xxlarge,input[class*="span"],select[class*="span"],textarea[class*="span"],.uneditable-input{display:block;width:100%;min-height:30px;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}.input-prepend input,.input-append input,.input-prepend input[class*="span"],.input-append input[class*="span"]{display:inline-block;width:auto}.controls-row [class*="span"]+[class*="span"]{margin-left:0}.modal{position:fixed;top:20px;right:20px;left:20px;width:auto;margin:0}.modal.fade{top:-100px}.modal.fade.in{top:20px}}@media(max-width:480px){.nav-collapse{-webkit-transform:translate3d(0,0,0)}.page-header h1 small{display:block;line-height:20px}input[type="checkbox"],input[type="radio"]{border:1px solid #ccc}.form-horizontal .control-label{float:none;width:auto;padding-top:0;text-align:left}.form-horizontal .controls{margin-left:0}.form-horizontal .control-list{padding-top:0}.form-horizontal .form-actions{padding-right:10px;padding-left:10px}.media .pull-left,.media .pull-right{display:block;float:none;margin-bottom:10px}.media-object{margin-right:0;margin-left:0}.modal{top:10px;right:10px;left:10px}.modal-header .close{padding:10px;margin:-10px}.carousel-caption{position:static}}@media(max-width:979px){body{padding-top:0}.navbar-fixed-top,.navbar-fixed-bottom{position:static}.navbar-fixed-top{margin-bottom:20px}.navbar-fixed-bottom{margin-top:20px}.navbar-fixed-top .navbar-inner,.navbar-fixed-bottom .navbar-inner{padding:5px}.navbar .container{width:auto;padding:0}.navbar .brand{padding-right:10px;padding-left:10px;margin:0 0 0 -5px}.nav-collapse{clear:both}.nav-collapse .nav{float:none;margin:0 0 10px}.nav-collapse .nav>li{float:none}.nav-collapse .nav>li>a{margin-bottom:2px}.nav-collapse .nav>.divider-vertical{display:none}.nav-collapse .nav .nav-header{color:#777;text-shadow:none}.nav-collapse .nav>li>a,.nav-collapse .dropdown-menu a{padding:9px 15px;font-weight:bold;color:#777;-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px}.nav-collapse .btn{padding:4px 10px 4px;font-weight:normal;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}.nav-collapse .dropdown-menu li+li a{margin-bottom:2px}.nav-collapse .nav>li>a:hover,.nav-collapse .nav>li>a:focus,.nav-collapse .dropdown-menu a:hover,.nav-collapse .dropdown-menu a:focus{background-color:#f2f2f2}.navbar-inverse .nav-collapse .nav>li>a,.navbar-inverse .nav-collapse .dropdown-menu a{color:#999}.navbar-inverse .nav-collapse .nav>li>a:hover,.navbar-inverse .nav-collapse .nav>li>a:focus,.navbar-inverse .nav-collapse .dropdown-menu a:hover,.navbar-inverse .nav-collapse .dropdown-menu a:focus{background-color:#111}.nav-collapse.in .btn-group{padding:0;margin-top:5px}.nav-collapse .dropdown-menu{position:static;top:auto;left:auto;display:none;float:none;max-width:none;padding:0;margin:0 15px;background-color:transparent;border:0;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0;-webkit-box-shadow:none;-moz-box-shadow:none;box-shadow:none}.nav-collapse .open>.dropdown-menu{display:block}.nav-collapse .dropdown-menu:before,.nav-collapse .dropdown-menu:after{display:none}.nav-collapse .dropdown-menu .divider{display:none}.nav-collapse .nav>li>.dropdown-menu:before,.nav-collapse .nav>li>.dropdown-menu:after{display:none}.nav-collapse .navbar-form,.nav-collapse .navbar-search{float:none;padding:10px 15px;margin:10px 0;border-top:1px solid #f2f2f2;border-bottom:1px solid #f2f2f2;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,0.1),0 1px 0 rgba(255,255,255,0.1);-moz-box-shadow:inset 0 1px 0 rgba(255,255,255,0.1),0 1px 0 rgba(255,255,255,0.1);box-shadow:inset 0 1px 0 rgba(255,255,255,0.1),0 1px 0 rgba(255,255,255,0.1)}.navbar-inverse .nav-collapse .navbar-form,.navbar-inverse .nav-collapse .navbar-search{border-top-color:#111;border-bottom-color:#111}.navbar .nav-collapse .nav.pull-right{float:none;margin-left:0}.nav-collapse,.nav-collapse.collapse{height:0;overflow:hidden}.navbar .btn-navbar{display:block}.navbar-static .navbar-inner{padding-right:10px;padding-left:10px}}@media(min-width:980px){.nav-collapse.collapse{height:auto!important;overflow:visible!important}}
diff --git a/core/src/main/resources/spark/ui/static/bootstrap.min.css b/core/src/main/resources/spark/ui/static/bootstrap.min.css
deleted file mode 100644
index c177b6172a..0000000000
--- a/core/src/main/resources/spark/ui/static/bootstrap.min.css
+++ /dev/null
@@ -1,9 +0,0 @@
-@import url('//fonts.googleapis.com/css?family=Open+Sans:400italic,700italic,400,700');/*!
- * Bootstrap v2.3.2
- *
- * Copyright 2013 Twitter, Inc
- * Licensed under the Apache License v2.0
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Designed and built with all the love in the world by @mdo and @fat.
- */.clearfix{*zoom:1}.clearfix:before,.clearfix:after{display:table;line-height:0;content:""}.clearfix:after{clear:both}.hide-text{font:0/0 a;color:transparent;text-shadow:none;background-color:transparent;border:0}.input-block-level{display:block;width:100%;min-height:31px;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}article,aside,details,figcaption,figure,footer,header,hgroup,nav,section{display:block}audio,canvas,video{display:inline-block;*display:inline;*zoom:1}audio:not([controls]){display:none}html{font-size:100%;-webkit-text-size-adjust:100%;-ms-text-size-adjust:100%}a:focus{outline:thin dotted #333;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}a:hover,a:active{outline:0}sub,sup{position:relative;font-size:75%;line-height:0;vertical-align:baseline}sup{top:-0.5em}sub{bottom:-0.25em}img{width:auto\9;height:auto;max-width:100%;vertical-align:middle;border:0;-ms-interpolation-mode:bicubic}#map_canvas img,.google-maps img{max-width:none}button,input,select,textarea{margin:0;font-size:100%;vertical-align:middle}button,input{*overflow:visible;line-height:normal}button::-moz-focus-inner,input::-moz-focus-inner{padding:0;border:0}button,html input[type="button"],input[type="reset"],input[type="submit"]{cursor:pointer;-webkit-appearance:button}label,select,button,input[type="button"],input[type="reset"],input[type="submit"],input[type="radio"],input[type="checkbox"]{cursor:pointer}input[type="search"]{-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;-webkit-appearance:textfield}input[type="search"]::-webkit-search-decoration,input[type="search"]::-webkit-search-cancel-button{-webkit-appearance:none}textarea{overflow:auto;vertical-align:top}@media print{*{color:#000!important;text-shadow:none!important;background:transparent!important;box-shadow:none!important}a,a:visited{text-decoration:underline}a[href]:after{content:" (" attr(href) ")"}abbr[title]:after{content:" (" attr(title) ")"}.ir a:after,a[href^="javascript:"]:after,a[href^="#"]:after{content:""}pre,blockquote{border:1px solid #999;page-break-inside:avoid}thead{display:table-header-group}tr,img{page-break-inside:avoid}img{max-width:100%!important}@page{margin:.5cm}p,h2,h3{orphans:3;widows:3}h2,h3{page-break-after:avoid}}body{margin:0;font-family:"Open Sans","Helvetica Neue",Helvetica,Arial,sans-serif;font-size:12.75px;line-height:21px;color:#666;background-color:#fff}a{color:#09d;text-decoration:none}a:hover,a:focus{color:#09d;text-decoration:underline}.img-rounded{-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px}.img-polaroid{padding:4px;background-color:#fff;border:1px solid #ccc;border:1px solid rgba(0,0,0,0.2);-webkit-box-shadow:0 1px 3px rgba(0,0,0,0.1);-moz-box-shadow:0 1px 3px rgba(0,0,0,0.1);box-shadow:0 1px 3px rgba(0,0,0,0.1)}.img-circle{-webkit-border-radius:500px;-moz-border-radius:500px;border-radius:500px}.row{margin-left:-20px;*zoom:1}.row:before,.row:after{display:table;line-height:0;content:""}.row:after{clear:both}[class*="span"]{float:left;min-height:1px;margin-left:20px}.container,.navbar-static-top .container,.navbar-fixed-top .container,.navbar-fixed-bottom .container{width:940px}.span12{width:940px}.span11{width:860px}.span10{width:780px}.span9{width:700px}.span8{width:620px}.span7{width:540px}.span6{width:460px}.span5{width:380px}.span4{width:300px}.span3{width:220px}.span2{width:140px}.span1{width:60px}.offset12{margin-left:980px}.offset11{margin-left:900px}.offset10{margin-left:820px}.offset9{margin-left:740px}.offset8{margin-left:660px}.offset7{margin-left:580px}.offset6{margin-left:500px}.offset5{margin-left:420px}.offset4{margin-left:340px}.offset3{margin-left:260px}.offset2{margin-left:180px}.offset1{margin-left:100px}.row-fluid{width:100%;*zoom:1}.row-fluid:before,.row-fluid:after{display:table;line-height:0;content:""}.row-fluid:after{clear:both}.row-fluid [class*="span"]{display:block;float:left;width:100%;min-height:31px;margin-left:2.127659574468085%;*margin-left:2.074468085106383%;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}.row-fluid [class*="span"]:first-child{margin-left:0}.row-fluid .controls-row [class*="span"]+[class*="span"]{margin-left:2.127659574468085%}.row-fluid .span12{width:100%;*width:99.94680851063829%}.row-fluid .span11{width:91.48936170212765%;*width:91.43617021276594%}.row-fluid .span10{width:82.97872340425532%;*width:82.92553191489361%}.row-fluid .span9{width:74.46808510638297%;*width:74.41489361702126%}.row-fluid .span8{width:65.95744680851064%;*width:65.90425531914893%}.row-fluid .span7{width:57.44680851063829%;*width:57.39361702127659%}.row-fluid .span6{width:48.93617021276595%;*width:48.88297872340425%}.row-fluid .span5{width:40.42553191489362%;*width:40.37234042553192%}.row-fluid .span4{width:31.914893617021278%;*width:31.861702127659576%}.row-fluid .span3{width:23.404255319148934%;*width:23.351063829787233%}.row-fluid .span2{width:14.893617021276595%;*width:14.840425531914894%}.row-fluid .span1{width:6.382978723404255%;*width:6.329787234042553%}.row-fluid .offset12{margin-left:104.25531914893617%;*margin-left:104.14893617021275%}.row-fluid .offset12:first-child{margin-left:102.12765957446808%;*margin-left:102.02127659574467%}.row-fluid .offset11{margin-left:95.74468085106382%;*margin-left:95.6382978723404%}.row-fluid .offset11:first-child{margin-left:93.61702127659574%;*margin-left:93.51063829787232%}.row-fluid .offset10{margin-left:87.23404255319149%;*margin-left:87.12765957446807%}.row-fluid .offset10:first-child{margin-left:85.1063829787234%;*margin-left:84.99999999999999%}.row-fluid .offset9{margin-left:78.72340425531914%;*margin-left:78.61702127659572%}.row-fluid .offset9:first-child{margin-left:76.59574468085106%;*margin-left:76.48936170212764%}.row-fluid .offset8{margin-left:70.2127659574468%;*margin-left:70.10638297872339%}.row-fluid .offset8:first-child{margin-left:68.08510638297872%;*margin-left:67.9787234042553%}.row-fluid .offset7{margin-left:61.70212765957446%;*margin-left:61.59574468085106%}.row-fluid .offset7:first-child{margin-left:59.574468085106375%;*margin-left:59.46808510638297%}.row-fluid .offset6{margin-left:53.191489361702125%;*margin-left:53.085106382978715%}.row-fluid .offset6:first-child{margin-left:51.063829787234035%;*margin-left:50.95744680851063%}.row-fluid .offset5{margin-left:44.68085106382979%;*margin-left:44.57446808510638%}.row-fluid .offset5:first-child{margin-left:42.5531914893617%;*margin-left:42.4468085106383%}.row-fluid .offset4{margin-left:36.170212765957444%;*margin-left:36.06382978723405%}.row-fluid .offset4:first-child{margin-left:34.04255319148936%;*margin-left:33.93617021276596%}.row-fluid .offset3{margin-left:27.659574468085104%;*margin-left:27.5531914893617%}.row-fluid .offset3:first-child{margin-left:25.53191489361702%;*margin-left:25.425531914893618%}.row-fluid .offset2{margin-left:19.148936170212764%;*margin-left:19.04255319148936%}.row-fluid .offset2:first-child{margin-left:17.02127659574468%;*margin-left:16.914893617021278%}.row-fluid .offset1{margin-left:10.638297872340425%;*margin-left:10.53191489361702%}.row-fluid .offset1:first-child{margin-left:8.51063829787234%;*margin-left:8.404255319148938%}[class*="span"].hide,.row-fluid [class*="span"].hide{display:none}[class*="span"].pull-right,.row-fluid [class*="span"].pull-right{float:right}.container{margin-right:auto;margin-left:auto;*zoom:1}.container:before,.container:after{display:table;line-height:0;content:""}.container:after{clear:both}.container-fluid{padding-right:20px;padding-left:20px;*zoom:1}.container-fluid:before,.container-fluid:after{display:table;line-height:0;content:""}.container-fluid:after{clear:both}p{margin:0 0 10.5px}.lead{margin-bottom:21px;font-size:22.5px;font-weight:200;line-height:31.5px}small{font-size:85%}strong{font-weight:bold}em{font-style:italic}cite{font-style:normal}.muted{color:#ccc}a.muted:hover,a.muted:focus{color:#b3b3b3}.text-warning{color:#fff}a.text-warning:hover,a.text-warning:focus{color:#e6e6e6}.text-error{color:#fff}a.text-error:hover,a.text-error:focus{color:#e6e6e6}.text-info{color:#fff}a.text-info:hover,a.text-info:focus{color:#e6e6e6}.text-success{color:#fff}a.text-success:hover,a.text-success:focus{color:#e6e6e6}.text-left{text-align:left}.text-right{text-align:right}.text-center{text-align:center}h1,h2,h3,h4,h5,h6{margin:10.5px 0;font-family:inherit;font-weight:normal;line-height:21px;color:#2d2d2d;text-rendering:optimizelegibility}h1 small,h2 small,h3 small,h4 small,h5 small,h6 small{font-weight:normal;line-height:1;color:#ccc}h1,h2,h3{line-height:42px}h1{font-size:41.25px}h2{font-size:33.75px}h3{font-size:26.25px}h4{font-size:18.75px}h5{font-size:15px}h6{font-size:12.75px}h1 small{font-size:26.25px}h2 small{font-size:18.75px}h3 small{font-size:15px}h4 small{font-size:15px}.page-header{padding-bottom:9.5px;margin:21px 0 31.5px;border-bottom:1px solid #eee}ul,ol{padding:0;margin:0 0 10.5px 25px}ul ul,ul ol,ol ol,ol ul{margin-bottom:0}li{line-height:21px}ul.unstyled,ol.unstyled{margin-left:0;list-style:none}ul.inline,ol.inline{margin-left:0;list-style:none}ul.inline>li,ol.inline>li{display:inline-block;*display:inline;padding-right:5px;padding-left:5px;*zoom:1}dl{margin-bottom:21px}dt,dd{line-height:21px}dt{font-weight:bold}dd{margin-left:10.5px}.dl-horizontal{*zoom:1}.dl-horizontal:before,.dl-horizontal:after{display:table;line-height:0;content:""}.dl-horizontal:after{clear:both}.dl-horizontal dt{float:left;width:160px;overflow:hidden;clear:left;text-align:right;text-overflow:ellipsis;white-space:nowrap}.dl-horizontal dd{margin-left:180px}hr{border:0;border-top:1px solid #eee;border-bottom:1px solid #fff}abbr[title],abbr[data-original-title]{cursor:help;border-bottom:1px dotted #ccc}abbr.initialism{font-size:90%;text-transform:uppercase}blockquote{padding:0 0 0 15px;margin:0 0 21px;border-left:5px solid #eee}blockquote p{margin-bottom:0;font-size:18.75px;font-weight:300;line-height:1.25}blockquote small{display:block;line-height:21px;color:#ccc}blockquote small:before{content:'\2014 \00A0'}blockquote.pull-right{float:right;padding-right:15px;padding-left:0;border-right:5px solid #eee;border-left:0}blockquote.pull-right p,blockquote.pull-right small{text-align:right}blockquote.pull-right small:before{content:''}blockquote.pull-right small:after{content:'\00A0 \2014'}q:before,q:after,blockquote:before,blockquote:after{content:""}address{display:block;margin-bottom:21px;font-style:normal;line-height:21px}code,pre{padding:0 3px 2px;font-family:Menlo,Monaco,Consolas,"Courier New",monospace;font-size:13px;color:#434848;-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px}code{padding:2px 4px;color:#d14;white-space:nowrap;background-color:#f7f7f9;border:1px solid #e1e1e8}pre{display:block;padding:10px;margin:0 0 10.5px;font-size:14px;line-height:21px;word-break:break-all;word-wrap:break-word;white-space:pre;white-space:pre-wrap;background-color:#f5f5f5;border:1px solid #ccc;border:1px solid rgba(0,0,0,0.15);-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}pre.prettyprint{margin-bottom:21px}pre code{padding:0;color:inherit;white-space:pre;white-space:pre-wrap;background-color:transparent;border:0}.pre-scrollable{max-height:340px;overflow-y:scroll}form{margin:0 0 21px}fieldset{padding:0;margin:0;border:0}legend{display:block;width:100%;padding:0;margin-bottom:21px;font-size:22.5px;line-height:42px;color:#434848;border:0;border-bottom:1px solid #e5e5e5}legend small{font-size:15.75px;color:#ccc}label,input,button,select,textarea{font-size:15px;font-weight:normal;line-height:21px}input,button,select,textarea{font-family:"Open Sans","Helvetica Neue",Helvetica,Arial,sans-serif}label{display:block;margin-bottom:5px}select,textarea,input[type="text"],input[type="password"],input[type="datetime"],input[type="datetime-local"],input[type="date"],input[type="month"],input[type="time"],input[type="week"],input[type="number"],input[type="email"],input[type="url"],input[type="search"],input[type="tel"],input[type="color"],.uneditable-input{display:inline-block;height:21px;padding:4px 6px;margin-bottom:10.5px;font-size:15px;line-height:21px;color:#666;vertical-align:middle;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}input,textarea,.uneditable-input{width:206px}textarea{height:auto}textarea,input[type="text"],input[type="password"],input[type="datetime"],input[type="datetime-local"],input[type="date"],input[type="month"],input[type="time"],input[type="week"],input[type="number"],input[type="email"],input[type="url"],input[type="search"],input[type="tel"],input[type="color"],.uneditable-input{background-color:#fff;border:1px solid #ccc;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-webkit-transition:border linear .2s,box-shadow linear .2s;-moz-transition:border linear .2s,box-shadow linear .2s;-o-transition:border linear .2s,box-shadow linear .2s;transition:border linear .2s,box-shadow linear .2s}textarea:focus,input[type="text"]:focus,input[type="password"]:focus,input[type="datetime"]:focus,input[type="datetime-local"]:focus,input[type="date"]:focus,input[type="month"]:focus,input[type="time"]:focus,input[type="week"]:focus,input[type="number"]:focus,input[type="email"]:focus,input[type="url"]:focus,input[type="search"]:focus,input[type="tel"]:focus,input[type="color"]:focus,.uneditable-input:focus{border-color:rgba(82,168,236,0.8);outline:0;outline:thin dotted \9;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 8px rgba(82,168,236,0.6);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 8px rgba(82,168,236,0.6);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 8px rgba(82,168,236,0.6)}input[type="radio"],input[type="checkbox"]{margin:4px 0 0;margin-top:1px \9;*margin-top:0;line-height:normal}input[type="file"],input[type="image"],input[type="submit"],input[type="reset"],input[type="button"],input[type="radio"],input[type="checkbox"]{width:auto}select,input[type="file"]{height:31px;*margin-top:4px;line-height:31px}select{width:220px;background-color:#fff;border:1px solid #ccc}select[multiple],select[size]{height:auto}select:focus,input[type="file"]:focus,input[type="radio"]:focus,input[type="checkbox"]:focus{outline:thin dotted #333;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}.uneditable-input,.uneditable-textarea{color:#ccc;cursor:not-allowed;background-color:#fcfcfc;border-color:#ccc;-webkit-box-shadow:inset 0 1px 2px rgba(0,0,0,0.025);-moz-box-shadow:inset 0 1px 2px rgba(0,0,0,0.025);box-shadow:inset 0 1px 2px rgba(0,0,0,0.025)}.uneditable-input{overflow:hidden;white-space:nowrap}.uneditable-textarea{width:auto;height:auto}input:-moz-placeholder,textarea:-moz-placeholder{color:#ccc}input:-ms-input-placeholder,textarea:-ms-input-placeholder{color:#ccc}input::-webkit-input-placeholder,textarea::-webkit-input-placeholder{color:#ccc}.radio,.checkbox{min-height:21px;padding-left:20px}.radio input[type="radio"],.checkbox input[type="checkbox"]{float:left;margin-left:-20px}.controls>.radio:first-child,.controls>.checkbox:first-child{padding-top:5px}.radio.inline,.checkbox.inline{display:inline-block;padding-top:5px;margin-bottom:0;vertical-align:middle}.radio.inline+.radio.inline,.checkbox.inline+.checkbox.inline{margin-left:10px}.input-mini{width:60px}.input-small{width:90px}.input-medium{width:150px}.input-large{width:210px}.input-xlarge{width:270px}.input-xxlarge{width:530px}input[class*="span"],select[class*="span"],textarea[class*="span"],.uneditable-input[class*="span"],.row-fluid input[class*="span"],.row-fluid select[class*="span"],.row-fluid textarea[class*="span"],.row-fluid .uneditable-input[class*="span"]{float:none;margin-left:0}.input-append input[class*="span"],.input-append .uneditable-input[class*="span"],.input-prepend input[class*="span"],.input-prepend .uneditable-input[class*="span"],.row-fluid input[class*="span"],.row-fluid select[class*="span"],.row-fluid textarea[class*="span"],.row-fluid .uneditable-input[class*="span"],.row-fluid .input-prepend [class*="span"],.row-fluid .input-append [class*="span"]{display:inline-block}input,textarea,.uneditable-input{margin-left:0}.controls-row [class*="span"]+[class*="span"]{margin-left:20px}input.span12,textarea.span12,.uneditable-input.span12{width:926px}input.span11,textarea.span11,.uneditable-input.span11{width:846px}input.span10,textarea.span10,.uneditable-input.span10{width:766px}input.span9,textarea.span9,.uneditable-input.span9{width:686px}input.span8,textarea.span8,.uneditable-input.span8{width:606px}input.span7,textarea.span7,.uneditable-input.span7{width:526px}input.span6,textarea.span6,.uneditable-input.span6{width:446px}input.span5,textarea.span5,.uneditable-input.span5{width:366px}input.span4,textarea.span4,.uneditable-input.span4{width:286px}input.span3,textarea.span3,.uneditable-input.span3{width:206px}input.span2,textarea.span2,.uneditable-input.span2{width:126px}input.span1,textarea.span1,.uneditable-input.span1{width:46px}.controls-row{*zoom:1}.controls-row:before,.controls-row:after{display:table;line-height:0;content:""}.controls-row:after{clear:both}.controls-row [class*="span"],.row-fluid .controls-row [class*="span"]{float:left}.controls-row .checkbox[class*="span"],.controls-row .radio[class*="span"]{padding-top:5px}input[disabled],select[disabled],textarea[disabled],input[readonly],select[readonly],textarea[readonly]{cursor:not-allowed;background-color:#eee}input[type="radio"][disabled],input[type="checkbox"][disabled],input[type="radio"][readonly],input[type="checkbox"][readonly]{background-color:transparent}.control-group.warning .control-label,.control-group.warning .help-block,.control-group.warning .help-inline{color:#fff}.control-group.warning .checkbox,.control-group.warning .radio,.control-group.warning input,.control-group.warning select,.control-group.warning textarea{color:#fff}.control-group.warning input,.control-group.warning select,.control-group.warning textarea{border-color:#fff;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.control-group.warning input:focus,.control-group.warning select:focus,.control-group.warning textarea:focus{border-color:#e6e6e6;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #fff;-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #fff;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #fff}.control-group.warning .input-prepend .add-on,.control-group.warning .input-append .add-on{color:#fff;background-color:#d47500;border-color:#fff}.control-group.error .control-label,.control-group.error .help-block,.control-group.error .help-inline{color:#fff}.control-group.error .checkbox,.control-group.error .radio,.control-group.error input,.control-group.error select,.control-group.error textarea{color:#fff}.control-group.error input,.control-group.error select,.control-group.error textarea{border-color:#fff;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.control-group.error input:focus,.control-group.error select:focus,.control-group.error textarea:focus{border-color:#e6e6e6;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #fff;-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #fff;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #fff}.control-group.error .input-prepend .add-on,.control-group.error .input-append .add-on{color:#fff;background-color:#cd0200;border-color:#fff}.control-group.success .control-label,.control-group.success .help-block,.control-group.success .help-inline{color:#fff}.control-group.success .checkbox,.control-group.success .radio,.control-group.success input,.control-group.success select,.control-group.success textarea{color:#fff}.control-group.success input,.control-group.success select,.control-group.success textarea{border-color:#fff;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.control-group.success input:focus,.control-group.success select:focus,.control-group.success textarea:focus{border-color:#e6e6e6;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #fff;-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #fff;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #fff}.control-group.success .input-prepend .add-on,.control-group.success .input-append .add-on{color:#fff;background-color:#3cb521;border-color:#fff}.control-group.info .control-label,.control-group.info .help-block,.control-group.info .help-inline{color:#fff}.control-group.info .checkbox,.control-group.info .radio,.control-group.info input,.control-group.info select,.control-group.info textarea{color:#fff}.control-group.info input,.control-group.info select,.control-group.info textarea{border-color:#fff;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.control-group.info input:focus,.control-group.info select:focus,.control-group.info textarea:focus{border-color:#e6e6e6;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #fff;-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #fff;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #fff}.control-group.info .input-prepend .add-on,.control-group.info .input-append .add-on{color:#fff;background-color:#3399f3;border-color:#fff}input:focus:invalid,textarea:focus:invalid,select:focus:invalid{color:#b94a48;border-color:#ee5f5b}input:focus:invalid:focus,textarea:focus:invalid:focus,select:focus:invalid:focus{border-color:#e9322d;-webkit-box-shadow:0 0 6px #f8b9b7;-moz-box-shadow:0 0 6px #f8b9b7;box-shadow:0 0 6px #f8b9b7}.form-actions{padding:20px 20px 21px;margin-top:21px;margin-bottom:21px;background-color:#f5f5f5;border-top:1px solid #e5e5e5;*zoom:1}.form-actions:before,.form-actions:after{display:table;line-height:0;content:""}.form-actions:after{clear:both}.help-block,.help-inline{color:#8c8c8c}.help-block{display:block;margin-bottom:10.5px}.help-inline{display:inline-block;*display:inline;padding-left:5px;vertical-align:middle;*zoom:1}.input-append,.input-prepend{display:inline-block;margin-bottom:10.5px;font-size:0;white-space:nowrap;vertical-align:middle}.input-append input,.input-prepend input,.input-append select,.input-prepend select,.input-append .uneditable-input,.input-prepend .uneditable-input,.input-append .dropdown-menu,.input-prepend .dropdown-menu,.input-append .popover,.input-prepend .popover{font-size:15px}.input-append input,.input-prepend input,.input-append select,.input-prepend select,.input-append .uneditable-input,.input-prepend .uneditable-input{position:relative;margin-bottom:0;*margin-left:0;vertical-align:top;-webkit-border-radius:0 4px 4px 0;-moz-border-radius:0 4px 4px 0;border-radius:0 4px 4px 0}.input-append input:focus,.input-prepend input:focus,.input-append select:focus,.input-prepend select:focus,.input-append .uneditable-input:focus,.input-prepend .uneditable-input:focus{z-index:2}.input-append .add-on,.input-prepend .add-on{display:inline-block;width:auto;height:21px;min-width:16px;padding:4px 5px;font-size:15px;font-weight:normal;line-height:21px;text-align:center;text-shadow:0 1px 0 #fff;background-color:#eee;border:1px solid #ccc}.input-append .add-on,.input-prepend .add-on,.input-append .btn,.input-prepend .btn,.input-append .btn-group>.dropdown-toggle,.input-prepend .btn-group>.dropdown-toggle{vertical-align:top;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.input-append .active,.input-prepend .active{background-color:#98e986;border-color:#3cb521}.input-prepend .add-on,.input-prepend .btn{margin-right:-1px}.input-prepend .add-on:first-child,.input-prepend .btn:first-child{-webkit-border-radius:4px 0 0 4px;-moz-border-radius:4px 0 0 4px;border-radius:4px 0 0 4px}.input-append input,.input-append select,.input-append .uneditable-input{-webkit-border-radius:4px 0 0 4px;-moz-border-radius:4px 0 0 4px;border-radius:4px 0 0 4px}.input-append input+.btn-group .btn:last-child,.input-append select+.btn-group .btn:last-child,.input-append .uneditable-input+.btn-group .btn:last-child{-webkit-border-radius:0 4px 4px 0;-moz-border-radius:0 4px 4px 0;border-radius:0 4px 4px 0}.input-append .add-on,.input-append .btn,.input-append .btn-group{margin-left:-1px}.input-append .add-on:last-child,.input-append .btn:last-child,.input-append .btn-group:last-child>.dropdown-toggle{-webkit-border-radius:0 4px 4px 0;-moz-border-radius:0 4px 4px 0;border-radius:0 4px 4px 0}.input-prepend.input-append input,.input-prepend.input-append select,.input-prepend.input-append .uneditable-input{-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.input-prepend.input-append input+.btn-group .btn,.input-prepend.input-append select+.btn-group .btn,.input-prepend.input-append .uneditable-input+.btn-group .btn{-webkit-border-radius:0 4px 4px 0;-moz-border-radius:0 4px 4px 0;border-radius:0 4px 4px 0}.input-prepend.input-append .add-on:first-child,.input-prepend.input-append .btn:first-child{margin-right:-1px;-webkit-border-radius:4px 0 0 4px;-moz-border-radius:4px 0 0 4px;border-radius:4px 0 0 4px}.input-prepend.input-append .add-on:last-child,.input-prepend.input-append .btn:last-child{margin-left:-1px;-webkit-border-radius:0 4px 4px 0;-moz-border-radius:0 4px 4px 0;border-radius:0 4px 4px 0}.input-prepend.input-append .btn-group:first-child{margin-left:0}input.search-query{padding-right:14px;padding-right:4px \9;padding-left:14px;padding-left:4px \9;margin-bottom:0;-webkit-border-radius:15px;-moz-border-radius:15px;border-radius:15px}.form-search .input-append .search-query,.form-search .input-prepend .search-query{-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.form-search .input-append .search-query{-webkit-border-radius:14px 0 0 14px;-moz-border-radius:14px 0 0 14px;border-radius:14px 0 0 14px}.form-search .input-append .btn{-webkit-border-radius:0 14px 14px 0;-moz-border-radius:0 14px 14px 0;border-radius:0 14px 14px 0}.form-search .input-prepend .search-query{-webkit-border-radius:0 14px 14px 0;-moz-border-radius:0 14px 14px 0;border-radius:0 14px 14px 0}.form-search .input-prepend .btn{-webkit-border-radius:14px 0 0 14px;-moz-border-radius:14px 0 0 14px;border-radius:14px 0 0 14px}.form-search input,.form-inline input,.form-horizontal input,.form-search textarea,.form-inline textarea,.form-horizontal textarea,.form-search select,.form-inline select,.form-horizontal select,.form-search .help-inline,.form-inline .help-inline,.form-horizontal .help-inline,.form-search .uneditable-input,.form-inline .uneditable-input,.form-horizontal .uneditable-input,.form-search .input-prepend,.form-inline .input-prepend,.form-horizontal .input-prepend,.form-search .input-append,.form-inline .input-append,.form-horizontal .input-append{display:inline-block;*display:inline;margin-bottom:0;vertical-align:middle;*zoom:1}.form-search .hide,.form-inline .hide,.form-horizontal .hide{display:none}.form-search label,.form-inline label,.form-search .btn-group,.form-inline .btn-group{display:inline-block}.form-search .input-append,.form-inline .input-append,.form-search .input-prepend,.form-inline .input-prepend{margin-bottom:0}.form-search .radio,.form-search .checkbox,.form-inline .radio,.form-inline .checkbox{padding-left:0;margin-bottom:0;vertical-align:middle}.form-search .radio input[type="radio"],.form-search .checkbox input[type="checkbox"],.form-inline .radio input[type="radio"],.form-inline .checkbox input[type="checkbox"]{float:left;margin-right:3px;margin-left:0}.control-group{margin-bottom:10.5px}legend+.control-group{margin-top:21px;-webkit-margin-top-collapse:separate}.form-horizontal .control-group{margin-bottom:21px;*zoom:1}.form-horizontal .control-group:before,.form-horizontal .control-group:after{display:table;line-height:0;content:""}.form-horizontal .control-group:after{clear:both}.form-horizontal .control-label{float:left;width:160px;padding-top:5px;text-align:right}.form-horizontal .controls{*display:inline-block;*padding-left:20px;margin-left:180px;*margin-left:0}.form-horizontal .controls:first-child{*padding-left:180px}.form-horizontal .help-block{margin-bottom:0}.form-horizontal input+.help-block,.form-horizontal select+.help-block,.form-horizontal textarea+.help-block,.form-horizontal .uneditable-input+.help-block,.form-horizontal .input-prepend+.help-block,.form-horizontal .input-append+.help-block{margin-top:10.5px}.form-horizontal .form-actions{padding-left:180px}table{max-width:100%;background-color:transparent;border-collapse:collapse;border-spacing:0}.table{width:100%;margin-bottom:21px}.table th,.table td{padding:8px;line-height:21px;text-align:left;vertical-align:top;border-top:1px solid #ddd}.table th{font-weight:bold}.table thead th{vertical-align:bottom}.table caption+thead tr:first-child th,.table caption+thead tr:first-child td,.table colgroup+thead tr:first-child th,.table colgroup+thead tr:first-child td,.table thead:first-child tr:first-child th,.table thead:first-child tr:first-child td{border-top:0}.table tbody+tbody{border-top:2px solid #ddd}.table .table{background-color:#fff}.table-condensed th,.table-condensed td{padding:4px 5px}.table-bordered{border:1px solid #ddd;border-collapse:separate;*border-collapse:collapse;border-left:0;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}.table-bordered th,.table-bordered td{border-left:1px solid #ddd}.table-bordered caption+thead tr:first-child th,.table-bordered caption+tbody tr:first-child th,.table-bordered caption+tbody tr:first-child td,.table-bordered colgroup+thead tr:first-child th,.table-bordered colgroup+tbody tr:first-child th,.table-bordered colgroup+tbody tr:first-child td,.table-bordered thead:first-child tr:first-child th,.table-bordered tbody:first-child tr:first-child th,.table-bordered tbody:first-child tr:first-child td{border-top:0}.table-bordered thead:first-child tr:first-child>th:first-child,.table-bordered tbody:first-child tr:first-child>td:first-child,.table-bordered tbody:first-child tr:first-child>th:first-child{-webkit-border-top-left-radius:4px;border-top-left-radius:4px;-moz-border-radius-topleft:4px}.table-bordered thead:first-child tr:first-child>th:last-child,.table-bordered tbody:first-child tr:first-child>td:last-child,.table-bordered tbody:first-child tr:first-child>th:last-child{-webkit-border-top-right-radius:4px;border-top-right-radius:4px;-moz-border-radius-topright:4px}.table-bordered thead:last-child tr:last-child>th:first-child,.table-bordered tbody:last-child tr:last-child>td:first-child,.table-bordered tbody:last-child tr:last-child>th:first-child,.table-bordered tfoot:last-child tr:last-child>td:first-child,.table-bordered tfoot:last-child tr:last-child>th:first-child{-webkit-border-bottom-left-radius:4px;border-bottom-left-radius:4px;-moz-border-radius-bottomleft:4px}.table-bordered thead:last-child tr:last-child>th:last-child,.table-bordered tbody:last-child tr:last-child>td:last-child,.table-bordered tbody:last-child tr:last-child>th:last-child,.table-bordered tfoot:last-child tr:last-child>td:last-child,.table-bordered tfoot:last-child tr:last-child>th:last-child{-webkit-border-bottom-right-radius:4px;border-bottom-right-radius:4px;-moz-border-radius-bottomright:4px}.table-bordered tfoot+tbody:last-child tr:last-child td:first-child{-webkit-border-bottom-left-radius:0;border-bottom-left-radius:0;-moz-border-radius-bottomleft:0}.table-bordered tfoot+tbody:last-child tr:last-child td:last-child{-webkit-border-bottom-right-radius:0;border-bottom-right-radius:0;-moz-border-radius-bottomright:0}.table-bordered caption+thead tr:first-child th:first-child,.table-bordered caption+tbody tr:first-child td:first-child,.table-bordered colgroup+thead tr:first-child th:first-child,.table-bordered colgroup+tbody tr:first-child td:first-child{-webkit-border-top-left-radius:4px;border-top-left-radius:4px;-moz-border-radius-topleft:4px}.table-bordered caption+thead tr:first-child th:last-child,.table-bordered caption+tbody tr:first-child td:last-child,.table-bordered colgroup+thead tr:first-child th:last-child,.table-bordered colgroup+tbody tr:first-child td:last-child{-webkit-border-top-right-radius:4px;border-top-right-radius:4px;-moz-border-radius-topright:4px}.table-striped tbody>tr:nth-child(odd)>td,.table-striped tbody>tr:nth-child(odd)>th{background-color:#f9f9f9}.table-hover tbody tr:hover>td,.table-hover tbody tr:hover>th{background-color:#f5f5f5}table td[class*="span"],table th[class*="span"],.row-fluid table td[class*="span"],.row-fluid table th[class*="span"]{display:table-cell;float:none;margin-left:0}.table td.span1,.table th.span1{float:none;width:44px;margin-left:0}.table td.span2,.table th.span2{float:none;width:124px;margin-left:0}.table td.span3,.table th.span3{float:none;width:204px;margin-left:0}.table td.span4,.table th.span4{float:none;width:284px;margin-left:0}.table td.span5,.table th.span5{float:none;width:364px;margin-left:0}.table td.span6,.table th.span6{float:none;width:444px;margin-left:0}.table td.span7,.table th.span7{float:none;width:524px;margin-left:0}.table td.span8,.table th.span8{float:none;width:604px;margin-left:0}.table td.span9,.table th.span9{float:none;width:684px;margin-left:0}.table td.span10,.table th.span10{float:none;width:764px;margin-left:0}.table td.span11,.table th.span11{float:none;width:844px;margin-left:0}.table td.span12,.table th.span12{float:none;width:924px;margin-left:0}.table tbody tr.success>td{background-color:#3cb521}.table tbody tr.error>td{background-color:#cd0200}.table tbody tr.warning>td{background-color:#d47500}.table tbody tr.info>td{background-color:#3399f3}.table-hover tbody tr.success:hover>td{background-color:#359f1d}.table-hover tbody tr.error:hover>td{background-color:#b40200}.table-hover tbody tr.warning:hover>td{background-color:#bb6700}.table-hover tbody tr.info:hover>td{background-color:#1b8df2}[class^="icon-"],[class*=" icon-"]{display:inline-block;width:14px;height:14px;margin-top:1px;*margin-right:.3em;line-height:14px;vertical-align:text-top;background-image:url("../img/glyphicons-halflings.png");background-position:14px 14px;background-repeat:no-repeat}.icon-white,.nav-pills>.active>a>[class^="icon-"],.nav-pills>.active>a>[class*=" icon-"],.nav-list>.active>a>[class^="icon-"],.nav-list>.active>a>[class*=" icon-"],.navbar-inverse .nav>.active>a>[class^="icon-"],.navbar-inverse .nav>.active>a>[class*=" icon-"],.dropdown-menu>li>a:hover>[class^="icon-"],.dropdown-menu>li>a:focus>[class^="icon-"],.dropdown-menu>li>a:hover>[class*=" icon-"],.dropdown-menu>li>a:focus>[class*=" icon-"],.dropdown-menu>.active>a>[class^="icon-"],.dropdown-menu>.active>a>[class*=" icon-"],.dropdown-submenu:hover>a>[class^="icon-"],.dropdown-submenu:focus>a>[class^="icon-"],.dropdown-submenu:hover>a>[class*=" icon-"],.dropdown-submenu:focus>a>[class*=" icon-"]{background-image:url("../img/glyphicons-halflings-white.png")}.icon-glass{background-position:0 0}.icon-music{background-position:-24px 0}.icon-search{background-position:-48px 0}.icon-envelope{background-position:-72px 0}.icon-heart{background-position:-96px 0}.icon-star{background-position:-120px 0}.icon-star-empty{background-position:-144px 0}.icon-user{background-position:-168px 0}.icon-film{background-position:-192px 0}.icon-th-large{background-position:-216px 0}.icon-th{background-position:-240px 0}.icon-th-list{background-position:-264px 0}.icon-ok{background-position:-288px 0}.icon-remove{background-position:-312px 0}.icon-zoom-in{background-position:-336px 0}.icon-zoom-out{background-position:-360px 0}.icon-off{background-position:-384px 0}.icon-signal{background-position:-408px 0}.icon-cog{background-position:-432px 0}.icon-trash{background-position:-456px 0}.icon-home{background-position:0 -24px}.icon-file{background-position:-24px -24px}.icon-time{background-position:-48px -24px}.icon-road{background-position:-72px -24px}.icon-download-alt{background-position:-96px -24px}.icon-download{background-position:-120px -24px}.icon-upload{background-position:-144px -24px}.icon-inbox{background-position:-168px -24px}.icon-play-circle{background-position:-192px -24px}.icon-repeat{background-position:-216px -24px}.icon-refresh{background-position:-240px -24px}.icon-list-alt{background-position:-264px -24px}.icon-lock{background-position:-287px -24px}.icon-flag{background-position:-312px -24px}.icon-headphones{background-position:-336px -24px}.icon-volume-off{background-position:-360px -24px}.icon-volume-down{background-position:-384px -24px}.icon-volume-up{background-position:-408px -24px}.icon-qrcode{background-position:-432px -24px}.icon-barcode{background-position:-456px -24px}.icon-tag{background-position:0 -48px}.icon-tags{background-position:-25px -48px}.icon-book{background-position:-48px -48px}.icon-bookmark{background-position:-72px -48px}.icon-print{background-position:-96px -48px}.icon-camera{background-position:-120px -48px}.icon-font{background-position:-144px -48px}.icon-bold{background-position:-167px -48px}.icon-italic{background-position:-192px -48px}.icon-text-height{background-position:-216px -48px}.icon-text-width{background-position:-240px -48px}.icon-align-left{background-position:-264px -48px}.icon-align-center{background-position:-288px -48px}.icon-align-right{background-position:-312px -48px}.icon-align-justify{background-position:-336px -48px}.icon-list{background-position:-360px -48px}.icon-indent-left{background-position:-384px -48px}.icon-indent-right{background-position:-408px -48px}.icon-facetime-video{background-position:-432px -48px}.icon-picture{background-position:-456px -48px}.icon-pencil{background-position:0 -72px}.icon-map-marker{background-position:-24px -72px}.icon-adjust{background-position:-48px -72px}.icon-tint{background-position:-72px -72px}.icon-edit{background-position:-96px -72px}.icon-share{background-position:-120px -72px}.icon-check{background-position:-144px -72px}.icon-move{background-position:-168px -72px}.icon-step-backward{background-position:-192px -72px}.icon-fast-backward{background-position:-216px -72px}.icon-backward{background-position:-240px -72px}.icon-play{background-position:-264px -72px}.icon-pause{background-position:-288px -72px}.icon-stop{background-position:-312px -72px}.icon-forward{background-position:-336px -72px}.icon-fast-forward{background-position:-360px -72px}.icon-step-forward{background-position:-384px -72px}.icon-eject{background-position:-408px -72px}.icon-chevron-left{background-position:-432px -72px}.icon-chevron-right{background-position:-456px -72px}.icon-plus-sign{background-position:0 -96px}.icon-minus-sign{background-position:-24px -96px}.icon-remove-sign{background-position:-48px -96px}.icon-ok-sign{background-position:-72px -96px}.icon-question-sign{background-position:-96px -96px}.icon-info-sign{background-position:-120px -96px}.icon-screenshot{background-position:-144px -96px}.icon-remove-circle{background-position:-168px -96px}.icon-ok-circle{background-position:-192px -96px}.icon-ban-circle{background-position:-216px -96px}.icon-arrow-left{background-position:-240px -96px}.icon-arrow-right{background-position:-264px -96px}.icon-arrow-up{background-position:-289px -96px}.icon-arrow-down{background-position:-312px -96px}.icon-share-alt{background-position:-336px -96px}.icon-resize-full{background-position:-360px -96px}.icon-resize-small{background-position:-384px -96px}.icon-plus{background-position:-408px -96px}.icon-minus{background-position:-433px -96px}.icon-asterisk{background-position:-456px -96px}.icon-exclamation-sign{background-position:0 -120px}.icon-gift{background-position:-24px -120px}.icon-leaf{background-position:-48px -120px}.icon-fire{background-position:-72px -120px}.icon-eye-open{background-position:-96px -120px}.icon-eye-close{background-position:-120px -120px}.icon-warning-sign{background-position:-144px -120px}.icon-plane{background-position:-168px -120px}.icon-calendar{background-position:-192px -120px}.icon-random{width:16px;background-position:-216px -120px}.icon-comment{background-position:-240px -120px}.icon-magnet{background-position:-264px -120px}.icon-chevron-up{background-position:-288px -120px}.icon-chevron-down{background-position:-313px -119px}.icon-retweet{background-position:-336px -120px}.icon-shopping-cart{background-position:-360px -120px}.icon-folder-close{width:16px;background-position:-384px -120px}.icon-folder-open{width:16px;background-position:-408px -120px}.icon-resize-vertical{background-position:-432px -119px}.icon-resize-horizontal{background-position:-456px -118px}.icon-hdd{background-position:0 -144px}.icon-bullhorn{background-position:-24px -144px}.icon-bell{background-position:-48px -144px}.icon-certificate{background-position:-72px -144px}.icon-thumbs-up{background-position:-96px -144px}.icon-thumbs-down{background-position:-120px -144px}.icon-hand-right{background-position:-144px -144px}.icon-hand-left{background-position:-168px -144px}.icon-hand-up{background-position:-192px -144px}.icon-hand-down{background-position:-216px -144px}.icon-circle-arrow-right{background-position:-240px -144px}.icon-circle-arrow-left{background-position:-264px -144px}.icon-circle-arrow-up{background-position:-288px -144px}.icon-circle-arrow-down{background-position:-312px -144px}.icon-globe{background-position:-336px -144px}.icon-wrench{background-position:-360px -144px}.icon-tasks{background-position:-384px -144px}.icon-filter{background-position:-408px -144px}.icon-briefcase{background-position:-432px -144px}.icon-fullscreen{background-position:-456px -144px}.dropup,.dropdown{position:relative}.dropdown-toggle{*margin-bottom:-3px}.dropdown-toggle:active,.open .dropdown-toggle{outline:0}.caret{display:inline-block;width:0;height:0;vertical-align:top;border-top:4px solid #000;border-right:4px solid transparent;border-left:4px solid transparent;content:""}.dropdown .caret{margin-top:8px;margin-left:2px}.dropdown-menu{position:absolute;top:100%;left:0;z-index:1000;display:none;float:left;min-width:160px;padding:5px 0;margin:2px 0 0;list-style:none;background-color:#fff;border:1px solid #ccc;border:1px solid rgba(0,0,0,0.2);*border-right-width:2px;*border-bottom-width:2px;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px;-webkit-box-shadow:0 5px 10px rgba(0,0,0,0.2);-moz-box-shadow:0 5px 10px rgba(0,0,0,0.2);box-shadow:0 5px 10px rgba(0,0,0,0.2);-webkit-background-clip:padding-box;-moz-background-clip:padding;background-clip:padding-box}.dropdown-menu.pull-right{right:0;left:auto}.dropdown-menu .divider{*width:100%;height:1px;margin:9.5px 1px;*margin:-5px 0 5px;overflow:hidden;background-color:rgba(0,0,0,0.1);border-bottom:1px solid rgba(255,255,255,0.5)}.dropdown-menu>li>a{display:block;padding:3px 20px;clear:both;font-weight:normal;line-height:21px;color:#666;white-space:nowrap}.dropdown-menu>li>a:hover,.dropdown-menu>li>a:focus,.dropdown-submenu:hover>a,.dropdown-submenu:focus>a{color:#fff;text-decoration:none;background-color:#0092d3;background-image:-moz-linear-gradient(top,#09d,#0087c4);background-image:-webkit-gradient(linear,0 0,0 100%,from(#09d),to(#0087c4));background-image:-webkit-linear-gradient(top,#09d,#0087c4);background-image:-o-linear-gradient(top,#09d,#0087c4);background-image:linear-gradient(to bottom,#09d,#0087c4);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff0099dd',endColorstr='#ff0087c4',GradientType=0)}.dropdown-menu>.active>a,.dropdown-menu>.active>a:hover,.dropdown-menu>.active>a:focus{color:#fff;text-decoration:none;background-color:#0092d3;background-image:-moz-linear-gradient(top,#09d,#0087c4);background-image:-webkit-gradient(linear,0 0,0 100%,from(#09d),to(#0087c4));background-image:-webkit-linear-gradient(top,#09d,#0087c4);background-image:-o-linear-gradient(top,#09d,#0087c4);background-image:linear-gradient(to bottom,#09d,#0087c4);background-repeat:repeat-x;outline:0;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff0099dd',endColorstr='#ff0087c4',GradientType=0)}.dropdown-menu>.disabled>a,.dropdown-menu>.disabled>a:hover,.dropdown-menu>.disabled>a:focus{color:#ccc}.dropdown-menu>.disabled>a:hover,.dropdown-menu>.disabled>a:focus{text-decoration:none;cursor:default;background-color:transparent;background-image:none;filter:progid:DXImageTransform.Microsoft.gradient(enabled=false)}.open{*z-index:1000}.open>.dropdown-menu{display:block}.dropdown-backdrop{position:fixed;top:0;right:0;bottom:0;left:0;z-index:990}.pull-right>.dropdown-menu{right:0;left:auto}.dropup .caret,.navbar-fixed-bottom .dropdown .caret{border-top:0;border-bottom:4px solid #000;content:""}.dropup .dropdown-menu,.navbar-fixed-bottom .dropdown .dropdown-menu{top:auto;bottom:100%;margin-bottom:1px}.dropdown-submenu{position:relative}.dropdown-submenu>.dropdown-menu{top:0;left:100%;margin-top:-6px;margin-left:-1px;-webkit-border-radius:0 6px 6px 6px;-moz-border-radius:0 6px 6px 6px;border-radius:0 6px 6px 6px}.dropdown-submenu:hover>.dropdown-menu{display:block}.dropup .dropdown-submenu>.dropdown-menu{top:auto;bottom:0;margin-top:0;margin-bottom:-2px;-webkit-border-radius:5px 5px 5px 0;-moz-border-radius:5px 5px 5px 0;border-radius:5px 5px 5px 0}.dropdown-submenu>a:after{display:block;float:right;width:0;height:0;margin-top:5px;margin-right:-10px;border-color:transparent;border-left-color:#ccc;border-style:solid;border-width:5px 0 5px 5px;content:" "}.dropdown-submenu:hover>a:after{border-left-color:#fff}.dropdown-submenu.pull-left{float:none}.dropdown-submenu.pull-left>.dropdown-menu{left:-100%;margin-left:10px;-webkit-border-radius:6px 0 6px 6px;-moz-border-radius:6px 0 6px 6px;border-radius:6px 0 6px 6px}.dropdown .dropdown-menu .nav-header{padding-right:20px;padding-left:20px}.typeahead{z-index:1051;margin-top:2px;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}.well{min-height:20px;padding:19px;margin-bottom:20px;background-color:#eee;border:1px solid #dcdcdc;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.05);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.05);box-shadow:inset 0 1px 1px rgba(0,0,0,0.05)}.well blockquote{border-color:#ddd;border-color:rgba(0,0,0,0.15)}.well-large{padding:24px;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px}.well-small{padding:9px;-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px}.fade{opacity:0;-webkit-transition:opacity .15s linear;-moz-transition:opacity .15s linear;-o-transition:opacity .15s linear;transition:opacity .15s linear}.fade.in{opacity:1}.collapse{position:relative;height:0;overflow:hidden;-webkit-transition:height .35s ease;-moz-transition:height .35s ease;-o-transition:height .35s ease;transition:height .35s ease}.collapse.in{height:auto}.close{float:right;font-size:20px;font-weight:bold;line-height:21px;color:#000;text-shadow:0 1px 0 #fff;opacity:.2;filter:alpha(opacity=20)}.close:hover,.close:focus{color:#000;text-decoration:none;cursor:pointer;opacity:.4;filter:alpha(opacity=40)}button.close{padding:0;cursor:pointer;background:transparent;border:0;-webkit-appearance:none}.btn{display:inline-block;*display:inline;padding:4px 12px;margin-bottom:0;*margin-left:.3em;font-size:15px;line-height:21px;color:#434848;text-align:center;text-shadow:0 1px 1px rgba(255,255,255,0.75);vertical-align:middle;cursor:pointer;background-color:#f8f8f8;*background-color:#eee;background-image:-moz-linear-gradient(top,#fff,#eee);background-image:-webkit-gradient(linear,0 0,0 100%,from(#fff),to(#eee));background-image:-webkit-linear-gradient(top,#fff,#eee);background-image:-o-linear-gradient(top,#fff,#eee);background-image:linear-gradient(to bottom,#fff,#eee);background-repeat:repeat-x;border:1px solid #ccc;*border:0;border-color:#eee #eee #c8c8c8;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);border-bottom-color:#b3b3b3;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff',endColorstr='#ffeeeeee',GradientType=0);filter:progid:DXImageTransform.Microsoft.gradient(enabled=false);*zoom:1;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,0.2),0 1px 2px rgba(0,0,0,0.05);-moz-box-shadow:inset 0 1px 0 rgba(255,255,255,0.2),0 1px 2px rgba(0,0,0,0.05);box-shadow:inset 0 1px 0 rgba(255,255,255,0.2),0 1px 2px rgba(0,0,0,0.05)}.btn:hover,.btn:focus,.btn:active,.btn.active,.btn.disabled,.btn[disabled]{color:#434848;background-color:#eee;*background-color:#e1e1e1}.btn:active,.btn.active{background-color:#d5d5d5 \9}.btn:first-child{*margin-left:0}.btn:hover,.btn:focus{color:#434848;text-decoration:none;background-position:0 -15px;-webkit-transition:background-position .1s linear;-moz-transition:background-position .1s linear;-o-transition:background-position .1s linear;transition:background-position .1s linear}.btn:focus{outline:thin dotted #333;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}.btn.active,.btn:active{background-image:none;outline:0;-webkit-box-shadow:inset 0 2px 4px rgba(0,0,0,0.15),0 1px 2px rgba(0,0,0,0.05);-moz-box-shadow:inset 0 2px 4px rgba(0,0,0,0.15),0 1px 2px rgba(0,0,0,0.05);box-shadow:inset 0 2px 4px rgba(0,0,0,0.15),0 1px 2px rgba(0,0,0,0.05)}.btn.disabled,.btn[disabled]{cursor:default;background-image:none;opacity:.65;filter:alpha(opacity=65);-webkit-box-shadow:none;-moz-box-shadow:none;box-shadow:none}.btn-large{padding:11px 19px;font-size:18.75px;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px}.btn-large [class^="icon-"],.btn-large [class*=" icon-"]{margin-top:4px}.btn-small{padding:2px 10px;font-size:12.75px;-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px}.btn-small [class^="icon-"],.btn-small [class*=" icon-"]{margin-top:0}.btn-mini [class^="icon-"],.btn-mini [class*=" icon-"]{margin-top:-1px}.btn-mini{padding:0 6px;font-size:11.25px;-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px}.btn-block{display:block;width:100%;padding-right:0;padding-left:0;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}.btn-block+.btn-block{margin-top:5px}input[type="submit"].btn-block,input[type="reset"].btn-block,input[type="button"].btn-block{width:100%}.btn-primary.active,.btn-warning.active,.btn-danger.active,.btn-success.active,.btn-info.active,.btn-inverse.active{color:rgba(255,255,255,0.75)}.btn-primary{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#0aaaf1;*background-color:#09d;background-image:-moz-linear-gradient(top,#11b6ff,#09d);background-image:-webkit-gradient(linear,0 0,0 100%,from(#11b6ff),to(#09d));background-image:-webkit-linear-gradient(top,#11b6ff,#09d);background-image:-o-linear-gradient(top,#11b6ff,#09d);background-image:linear-gradient(to bottom,#11b6ff,#09d);background-repeat:repeat-x;border-color:#09d #09d #006491;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff11b6ff',endColorstr='#ff0099dd',GradientType=0);filter:progid:DXImageTransform.Microsoft.gradient(enabled=false)}.btn-primary:hover,.btn-primary:focus,.btn-primary:active,.btn-primary.active,.btn-primary.disabled,.btn-primary[disabled]{color:#fff;background-color:#09d;*background-color:#0087c4}.btn-primary:active,.btn-primary.active{background-color:#0076aa \9}.btn-warning{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#ee8505;*background-color:#d47500;background-image:-moz-linear-gradient(top,#ff9008,#d47500);background-image:-webkit-gradient(linear,0 0,0 100%,from(#ff9008),to(#d47500));background-image:-webkit-linear-gradient(top,#ff9008,#d47500);background-image:-o-linear-gradient(top,#ff9008,#d47500);background-image:linear-gradient(to bottom,#ff9008,#d47500);background-repeat:repeat-x;border-color:#d47500 #d47500 #884b00;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffff9008',endColorstr='#ffd47500',GradientType=0);filter:progid:DXImageTransform.Microsoft.gradient(enabled=false)}.btn-warning:hover,.btn-warning:focus,.btn-warning:active,.btn-warning.active,.btn-warning.disabled,.btn-warning[disabled]{color:#fff;background-color:#d47500;*background-color:#bb6700}.btn-warning:active,.btn-warning.active{background-color:#a15900 \9}.btn-danger{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#eb0301;*background-color:#cd0200;background-image:-moz-linear-gradient(top,#ff0301,#cd0200);background-image:-webkit-gradient(linear,0 0,0 100%,from(#ff0301),to(#cd0200));background-image:-webkit-linear-gradient(top,#ff0301,#cd0200);background-image:-o-linear-gradient(top,#ff0301,#cd0200);background-image:linear-gradient(to bottom,#ff0301,#cd0200);background-repeat:repeat-x;border-color:#cd0200 #cd0200 #810100;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffff0301',endColorstr='#ffcd0200',GradientType=0);filter:progid:DXImageTransform.Microsoft.gradient(enabled=false)}.btn-danger:hover,.btn-danger:focus,.btn-danger:active,.btn-danger.active,.btn-danger.disabled,.btn-danger[disabled]{color:#fff;background-color:#cd0200;*background-color:#b40200}.btn-danger:active,.btn-danger.active{background-color:#9a0200 \9}.btn-success{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#47cb2a;*background-color:#3cb521;background-image:-moz-linear-gradient(top,#4fd930,#3cb521);background-image:-webkit-gradient(linear,0 0,0 100%,from(#4fd930),to(#3cb521));background-image:-webkit-linear-gradient(top,#4fd930,#3cb521);background-image:-o-linear-gradient(top,#4fd930,#3cb521);background-image:linear-gradient(to bottom,#4fd930,#3cb521);background-repeat:repeat-x;border-color:#3cb521 #3cb521 #277415;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff4fd930',endColorstr='#ff3cb521',GradientType=0);filter:progid:DXImageTransform.Microsoft.gradient(enabled=false)}.btn-success:hover,.btn-success:focus,.btn-success:active,.btn-success.active,.btn-success.disabled,.btn-success[disabled]{color:#fff;background-color:#3cb521;*background-color:#359f1d}.btn-success:active,.btn-success.active{background-color:#2e8a19 \9}.btn-info{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#436c98;*background-color:#3a5d83;background-image:-moz-linear-gradient(top,#4a76a6,#3a5d83);background-image:-webkit-gradient(linear,0 0,0 100%,from(#4a76a6),to(#3a5d83));background-image:-webkit-linear-gradient(top,#4a76a6,#3a5d83);background-image:-o-linear-gradient(top,#4a76a6,#3a5d83);background-image:linear-gradient(to bottom,#4a76a6,#3a5d83);background-repeat:repeat-x;border-color:#3a5d83 #3a5d83 #23374e;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff4a76a6',endColorstr='#ff3a5d83',GradientType=0);filter:progid:DXImageTransform.Microsoft.gradient(enabled=false)}.btn-info:hover,.btn-info:focus,.btn-info:active,.btn-info.active,.btn-info.disabled,.btn-info[disabled]{color:#fff;background-color:#3a5d83;*background-color:#325071}.btn-info:active,.btn-info.active{background-color:#2a4460 \9}.btn-inverse{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#848a94;*background-color:#6c737e;background-image:-moz-linear-gradient(top,#949aa3,#6c737e);background-image:-webkit-gradient(linear,0 0,0 100%,from(#949aa3),to(#6c737e));background-image:-webkit-linear-gradient(top,#949aa3,#6c737e);background-image:-o-linear-gradient(top,#949aa3,#6c737e);background-image:linear-gradient(to bottom,#949aa3,#6c737e);background-repeat:repeat-x;border-color:#6c737e #6c737e #494d55;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff949aa3',endColorstr='#ff6c737e',GradientType=0);filter:progid:DXImageTransform.Microsoft.gradient(enabled=false)}.btn-inverse:hover,.btn-inverse:focus,.btn-inverse:active,.btn-inverse.active,.btn-inverse.disabled,.btn-inverse[disabled]{color:#fff;background-color:#6c737e;*background-color:#606670}.btn-inverse:active,.btn-inverse.active{background-color:#545a63 \9}button.btn,input[type="submit"].btn{*padding-top:3px;*padding-bottom:3px}button.btn::-moz-focus-inner,input[type="submit"].btn::-moz-focus-inner{padding:0;border:0}button.btn.btn-large,input[type="submit"].btn.btn-large{*padding-top:7px;*padding-bottom:7px}button.btn.btn-small,input[type="submit"].btn.btn-small{*padding-top:3px;*padding-bottom:3px}button.btn.btn-mini,input[type="submit"].btn.btn-mini{*padding-top:1px;*padding-bottom:1px}.btn-link,.btn-link:active,.btn-link[disabled]{background-color:transparent;background-image:none;-webkit-box-shadow:none;-moz-box-shadow:none;box-shadow:none}.btn-link{color:#09d;cursor:pointer;border-color:transparent;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.btn-link:hover,.btn-link:focus{color:#09d;text-decoration:underline;background-color:transparent}.btn-link[disabled]:hover,.btn-link[disabled]:focus{color:#434848;text-decoration:none}.btn-group{position:relative;display:inline-block;*display:inline;*margin-left:.3em;font-size:0;white-space:nowrap;vertical-align:middle;*zoom:1}.btn-group:first-child{*margin-left:0}.btn-group+.btn-group{margin-left:5px}.btn-toolbar{margin-top:10.5px;margin-bottom:10.5px;font-size:0}.btn-toolbar>.btn+.btn,.btn-toolbar>.btn-group+.btn,.btn-toolbar>.btn+.btn-group{margin-left:5px}.btn-group>.btn{position:relative;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.btn-group>.btn+.btn{margin-left:-1px}.btn-group>.btn,.btn-group>.dropdown-menu,.btn-group>.popover{font-size:15px}.btn-group>.btn-mini{font-size:11.25px}.btn-group>.btn-small{font-size:12.75px}.btn-group>.btn-large{font-size:18.75px}.btn-group>.btn:first-child{margin-left:0;-webkit-border-bottom-left-radius:4px;border-bottom-left-radius:4px;-webkit-border-top-left-radius:4px;border-top-left-radius:4px;-moz-border-radius-bottomleft:4px;-moz-border-radius-topleft:4px}.btn-group>.btn:last-child,.btn-group>.dropdown-toggle{-webkit-border-top-right-radius:4px;border-top-right-radius:4px;-webkit-border-bottom-right-radius:4px;border-bottom-right-radius:4px;-moz-border-radius-topright:4px;-moz-border-radius-bottomright:4px}.btn-group>.btn.large:first-child{margin-left:0;-webkit-border-bottom-left-radius:6px;border-bottom-left-radius:6px;-webkit-border-top-left-radius:6px;border-top-left-radius:6px;-moz-border-radius-bottomleft:6px;-moz-border-radius-topleft:6px}.btn-group>.btn.large:last-child,.btn-group>.large.dropdown-toggle{-webkit-border-top-right-radius:6px;border-top-right-radius:6px;-webkit-border-bottom-right-radius:6px;border-bottom-right-radius:6px;-moz-border-radius-topright:6px;-moz-border-radius-bottomright:6px}.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active{z-index:2}.btn-group .dropdown-toggle:active,.btn-group.open .dropdown-toggle{outline:0}.btn-group>.btn+.dropdown-toggle{*padding-top:5px;padding-right:8px;*padding-bottom:5px;padding-left:8px;-webkit-box-shadow:inset 1px 0 0 rgba(255,255,255,0.125),inset 0 1px 0 rgba(255,255,255,0.2),0 1px 2px rgba(0,0,0,0.05);-moz-box-shadow:inset 1px 0 0 rgba(255,255,255,0.125),inset 0 1px 0 rgba(255,255,255,0.2),0 1px 2px rgba(0,0,0,0.05);box-shadow:inset 1px 0 0 rgba(255,255,255,0.125),inset 0 1px 0 rgba(255,255,255,0.2),0 1px 2px rgba(0,0,0,0.05)}.btn-group>.btn-mini+.dropdown-toggle{*padding-top:2px;padding-right:5px;*padding-bottom:2px;padding-left:5px}.btn-group>.btn-small+.dropdown-toggle{*padding-top:5px;*padding-bottom:4px}.btn-group>.btn-large+.dropdown-toggle{*padding-top:7px;padding-right:12px;*padding-bottom:7px;padding-left:12px}.btn-group.open .dropdown-toggle{background-image:none;-webkit-box-shadow:inset 0 2px 4px rgba(0,0,0,0.15),0 1px 2px rgba(0,0,0,0.05);-moz-box-shadow:inset 0 2px 4px rgba(0,0,0,0.15),0 1px 2px rgba(0,0,0,0.05);box-shadow:inset 0 2px 4px rgba(0,0,0,0.15),0 1px 2px rgba(0,0,0,0.05)}.btn-group.open .btn.dropdown-toggle{background-color:#eee}.btn-group.open .btn-primary.dropdown-toggle{background-color:#09d}.btn-group.open .btn-warning.dropdown-toggle{background-color:#d47500}.btn-group.open .btn-danger.dropdown-toggle{background-color:#cd0200}.btn-group.open .btn-success.dropdown-toggle{background-color:#3cb521}.btn-group.open .btn-info.dropdown-toggle{background-color:#3a5d83}.btn-group.open .btn-inverse.dropdown-toggle{background-color:#6c737e}.btn .caret{margin-top:8px;margin-left:0}.btn-large .caret{margin-top:6px}.btn-large .caret{border-top-width:5px;border-right-width:5px;border-left-width:5px}.btn-mini .caret,.btn-small .caret{margin-top:8px}.dropup .btn-large .caret{border-bottom-width:5px}.btn-primary .caret,.btn-warning .caret,.btn-danger .caret,.btn-info .caret,.btn-success .caret,.btn-inverse .caret{border-top-color:#fff;border-bottom-color:#fff}.btn-group-vertical{display:inline-block;*display:inline;*zoom:1}.btn-group-vertical>.btn{display:block;float:none;max-width:100%;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.btn-group-vertical>.btn+.btn{margin-top:-1px;margin-left:0}.btn-group-vertical>.btn:first-child{-webkit-border-radius:4px 4px 0 0;-moz-border-radius:4px 4px 0 0;border-radius:4px 4px 0 0}.btn-group-vertical>.btn:last-child{-webkit-border-radius:0 0 4px 4px;-moz-border-radius:0 0 4px 4px;border-radius:0 0 4px 4px}.btn-group-vertical>.btn-large:first-child{-webkit-border-radius:6px 6px 0 0;-moz-border-radius:6px 6px 0 0;border-radius:6px 6px 0 0}.btn-group-vertical>.btn-large:last-child{-webkit-border-radius:0 0 6px 6px;-moz-border-radius:0 0 6px 6px;border-radius:0 0 6px 6px}.alert{padding:8px 35px 8px 14px;margin-bottom:21px;text-shadow:0 1px 0 rgba(255,255,255,0.5);background-color:#d47500;border:1px solid #c54c00;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}.alert,.alert h4{color:#fff}.alert h4{margin:0}.alert .close{position:relative;top:-2px;right:-21px;line-height:21px}.alert-success{color:#fff;background-color:#3cb521;border-color:#4b9f1d}.alert-success h4{color:#fff}.alert-danger,.alert-error{color:#fff;background-color:#cd0200;border-color:#be001e}.alert-danger h4,.alert-error h4{color:#fff}.alert-info{color:#fff;background-color:#3399f3;border-color:#11adf1}.alert-info h4{color:#fff}.alert-block{padding-top:14px;padding-bottom:14px}.alert-block>p,.alert-block>ul{margin-bottom:0}.alert-block p+p{margin-top:5px}.nav{margin-bottom:21px;margin-left:0;list-style:none}.nav>li>a{display:block}.nav>li>a:hover,.nav>li>a:focus{text-decoration:none;background-color:#eee}.nav>li>a>img{max-width:none}.nav>.pull-right{float:right}.nav-header{display:block;padding:3px 15px;font-size:11px;font-weight:bold;line-height:21px;color:#ccc;text-shadow:0 1px 0 rgba(255,255,255,0.5);text-transform:uppercase}.nav li+.nav-header{margin-top:9px}.nav-list{padding-right:15px;padding-left:15px;margin-bottom:0}.nav-list>li>a,.nav-list .nav-header{margin-right:-15px;margin-left:-15px;text-shadow:0 1px 0 rgba(255,255,255,0.5)}.nav-list>li>a{padding:3px 15px}.nav-list>.active>a,.nav-list>.active>a:hover,.nav-list>.active>a:focus{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.2);background-color:#09d}.nav-list [class^="icon-"],.nav-list [class*=" icon-"]{margin-right:2px}.nav-list .divider{*width:100%;height:1px;margin:9.5px 1px;*margin:-5px 0 5px;overflow:hidden;background-color:#e5e5e5;border-bottom:1px solid #fff}.nav-tabs,.nav-pills{*zoom:1}.nav-tabs:before,.nav-pills:before,.nav-tabs:after,.nav-pills:after{display:table;line-height:0;content:""}.nav-tabs:after,.nav-pills:after{clear:both}.nav-tabs>li,.nav-pills>li{float:left}.nav-tabs>li>a,.nav-pills>li>a{padding-right:12px;padding-left:12px;margin-right:2px;line-height:14px}.nav-tabs{border-bottom:1px solid #ddd}.nav-tabs>li{margin-bottom:-1px}.nav-tabs>li>a{padding-top:8px;padding-bottom:8px;line-height:21px;border:1px solid transparent;-webkit-border-radius:4px 4px 0 0;-moz-border-radius:4px 4px 0 0;border-radius:4px 4px 0 0}.nav-tabs>li>a:hover,.nav-tabs>li>a:focus{border-color:#eee #eee #ddd}.nav-tabs>.active>a,.nav-tabs>.active>a:hover,.nav-tabs>.active>a:focus{color:#666;cursor:default;background-color:#fff;border:1px solid #ddd;border-bottom-color:transparent}.nav-pills>li>a{padding-top:8px;padding-bottom:8px;margin-top:2px;margin-bottom:2px;-webkit-border-radius:5px;-moz-border-radius:5px;border-radius:5px}.nav-pills>.active>a,.nav-pills>.active>a:hover,.nav-pills>.active>a:focus{color:#fff;background-color:#09d}.nav-stacked>li{float:none}.nav-stacked>li>a{margin-right:0}.nav-tabs.nav-stacked{border-bottom:0}.nav-tabs.nav-stacked>li>a{border:1px solid #ddd;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.nav-tabs.nav-stacked>li:first-child>a{-webkit-border-top-right-radius:4px;border-top-right-radius:4px;-webkit-border-top-left-radius:4px;border-top-left-radius:4px;-moz-border-radius-topright:4px;-moz-border-radius-topleft:4px}.nav-tabs.nav-stacked>li:last-child>a{-webkit-border-bottom-right-radius:4px;border-bottom-right-radius:4px;-webkit-border-bottom-left-radius:4px;border-bottom-left-radius:4px;-moz-border-radius-bottomright:4px;-moz-border-radius-bottomleft:4px}.nav-tabs.nav-stacked>li>a:hover,.nav-tabs.nav-stacked>li>a:focus{z-index:2;border-color:#ddd}.nav-pills.nav-stacked>li>a{margin-bottom:3px}.nav-pills.nav-stacked>li:last-child>a{margin-bottom:1px}.nav-tabs .dropdown-menu{-webkit-border-radius:0 0 6px 6px;-moz-border-radius:0 0 6px 6px;border-radius:0 0 6px 6px}.nav-pills .dropdown-menu{-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px}.nav .dropdown-toggle .caret{margin-top:6px;border-top-color:#09d;border-bottom-color:#09d}.nav .dropdown-toggle:hover .caret,.nav .dropdown-toggle:focus .caret{border-top-color:#09d;border-bottom-color:#09d}.nav-tabs .dropdown-toggle .caret{margin-top:8px}.nav .active .dropdown-toggle .caret{border-top-color:#fff;border-bottom-color:#fff}.nav-tabs .active .dropdown-toggle .caret{border-top-color:#666;border-bottom-color:#666}.nav>.dropdown.active>a:hover,.nav>.dropdown.active>a:focus{cursor:pointer}.nav-tabs .open .dropdown-toggle,.nav-pills .open .dropdown-toggle,.nav>li.dropdown.open.active>a:hover,.nav>li.dropdown.open.active>a:focus{color:#fff;background-color:#ccc;border-color:#ccc}.nav li.dropdown.open .caret,.nav li.dropdown.open.active .caret,.nav li.dropdown.open a:hover .caret,.nav li.dropdown.open a:focus .caret{border-top-color:#fff;border-bottom-color:#fff;opacity:1;filter:alpha(opacity=100)}.tabs-stacked .open>a:hover,.tabs-stacked .open>a:focus{border-color:#ccc}.tabbable{*zoom:1}.tabbable:before,.tabbable:after{display:table;line-height:0;content:""}.tabbable:after{clear:both}.tab-content{overflow:auto}.tabs-below>.nav-tabs,.tabs-right>.nav-tabs,.tabs-left>.nav-tabs{border-bottom:0}.tab-content>.tab-pane,.pill-content>.pill-pane{display:none}.tab-content>.active,.pill-content>.active{display:block}.tabs-below>.nav-tabs{border-top:1px solid #ddd}.tabs-below>.nav-tabs>li{margin-top:-1px;margin-bottom:0}.tabs-below>.nav-tabs>li>a{-webkit-border-radius:0 0 4px 4px;-moz-border-radius:0 0 4px 4px;border-radius:0 0 4px 4px}.tabs-below>.nav-tabs>li>a:hover,.tabs-below>.nav-tabs>li>a:focus{border-top-color:#ddd;border-bottom-color:transparent}.tabs-below>.nav-tabs>.active>a,.tabs-below>.nav-tabs>.active>a:hover,.tabs-below>.nav-tabs>.active>a:focus{border-color:transparent #ddd #ddd #ddd}.tabs-left>.nav-tabs>li,.tabs-right>.nav-tabs>li{float:none}.tabs-left>.nav-tabs>li>a,.tabs-right>.nav-tabs>li>a{min-width:74px;margin-right:0;margin-bottom:3px}.tabs-left>.nav-tabs{float:left;margin-right:19px;border-right:1px solid #ddd}.tabs-left>.nav-tabs>li>a{margin-right:-1px;-webkit-border-radius:4px 0 0 4px;-moz-border-radius:4px 0 0 4px;border-radius:4px 0 0 4px}.tabs-left>.nav-tabs>li>a:hover,.tabs-left>.nav-tabs>li>a:focus{border-color:#eee #ddd #eee #eee}.tabs-left>.nav-tabs .active>a,.tabs-left>.nav-tabs .active>a:hover,.tabs-left>.nav-tabs .active>a:focus{border-color:#ddd transparent #ddd #ddd;*border-right-color:#fff}.tabs-right>.nav-tabs{float:right;margin-left:19px;border-left:1px solid #ddd}.tabs-right>.nav-tabs>li>a{margin-left:-1px;-webkit-border-radius:0 4px 4px 0;-moz-border-radius:0 4px 4px 0;border-radius:0 4px 4px 0}.tabs-right>.nav-tabs>li>a:hover,.tabs-right>.nav-tabs>li>a:focus{border-color:#eee #eee #eee #ddd}.tabs-right>.nav-tabs .active>a,.tabs-right>.nav-tabs .active>a:hover,.tabs-right>.nav-tabs .active>a:focus{border-color:#ddd #ddd #ddd transparent;*border-left-color:#fff}.nav>.disabled>a{color:#ccc}.nav>.disabled>a:hover,.nav>.disabled>a:focus{text-decoration:none;cursor:default;background-color:transparent}.navbar{*position:relative;*z-index:2;margin-bottom:21px;overflow:visible}.navbar-inner{min-height:40px;padding-right:20px;padding-left:20px;background-color:#e9e9e9;background-image:-moz-linear-gradient(top,#eee,#e1e1e1);background-image:-webkit-gradient(linear,0 0,0 100%,from(#eee),to(#e1e1e1));background-image:-webkit-linear-gradient(top,#eee,#e1e1e1);background-image:-o-linear-gradient(top,#eee,#e1e1e1);background-image:linear-gradient(to bottom,#eee,#e1e1e1);background-repeat:repeat-x;border:1px solid #ccc;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffeeeeee',endColorstr='#ffe1e1e1',GradientType=0);*zoom:1;-webkit-box-shadow:0 1px 4px rgba(0,0,0,0.065);-moz-box-shadow:0 1px 4px rgba(0,0,0,0.065);box-shadow:0 1px 4px rgba(0,0,0,0.065)}.navbar-inner:before,.navbar-inner:after{display:table;line-height:0;content:""}.navbar-inner:after{clear:both}.navbar .container{width:auto}.nav-collapse.collapse{height:auto;overflow:visible}.navbar .brand{display:block;float:left;padding:9.5px 20px 9.5px;margin-left:-20px;font-size:20px;font-weight:200;color:#666;text-shadow:0 1px 0 #eee}.navbar .brand:hover,.navbar .brand:focus{text-decoration:none}.navbar-text{margin-bottom:0;line-height:40px;color:#666}.navbar-link{color:#666}.navbar-link:hover,.navbar-link:focus{color:#09d}.navbar .divider-vertical{height:40px;margin:0 9px;border-right:1px solid #eee;border-left:1px solid #e1e1e1}.navbar .btn,.navbar .btn-group{margin-top:5px}.navbar .btn-group .btn,.navbar .input-prepend .btn,.navbar .input-append .btn,.navbar .input-prepend .btn-group,.navbar .input-append .btn-group{margin-top:0}.navbar-form{margin-bottom:0;*zoom:1}.navbar-form:before,.navbar-form:after{display:table;line-height:0;content:""}.navbar-form:after{clear:both}.navbar-form input,.navbar-form select,.navbar-form .radio,.navbar-form .checkbox{margin-top:5px}.navbar-form input,.navbar-form select,.navbar-form .btn{display:inline-block;margin-bottom:0}.navbar-form input[type="image"],.navbar-form input[type="checkbox"],.navbar-form input[type="radio"]{margin-top:3px}.navbar-form .input-append,.navbar-form .input-prepend{margin-top:5px;white-space:nowrap}.navbar-form .input-append input,.navbar-form .input-prepend input{margin-top:0}.navbar-search{position:relative;float:left;margin-top:5px;margin-bottom:0}.navbar-search .search-query{padding:4px 14px;margin-bottom:0;font-family:"Open Sans","Helvetica Neue",Helvetica,Arial,sans-serif;font-size:13px;font-weight:normal;line-height:1;-webkit-border-radius:15px;-moz-border-radius:15px;border-radius:15px}.navbar-static-top{position:static;margin-bottom:0}.navbar-static-top .navbar-inner{-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.navbar-fixed-top,.navbar-fixed-bottom{position:fixed;right:0;left:0;z-index:1030;margin-bottom:0}.navbar-fixed-top .navbar-inner,.navbar-static-top .navbar-inner{border-width:0 0 1px}.navbar-fixed-bottom .navbar-inner{border-width:1px 0 0}.navbar-fixed-top .navbar-inner,.navbar-fixed-bottom .navbar-inner{padding-right:0;padding-left:0;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.navbar-static-top .container,.navbar-fixed-top .container,.navbar-fixed-bottom .container{width:940px}.navbar-fixed-top{top:0}.navbar-fixed-top .navbar-inner,.navbar-static-top .navbar-inner{-webkit-box-shadow:0 1px 10px rgba(0,0,0,0.1);-moz-box-shadow:0 1px 10px rgba(0,0,0,0.1);box-shadow:0 1px 10px rgba(0,0,0,0.1)}.navbar-fixed-bottom{bottom:0}.navbar-fixed-bottom .navbar-inner{-webkit-box-shadow:0 -1px 10px rgba(0,0,0,0.1);-moz-box-shadow:0 -1px 10px rgba(0,0,0,0.1);box-shadow:0 -1px 10px rgba(0,0,0,0.1)}.navbar .nav{position:relative;left:0;display:block;float:left;margin:0 10px 0 0}.navbar .nav.pull-right{float:right;margin-right:0}.navbar .nav>li{float:left}.navbar .nav>li>a{float:none;padding:9.5px 15px 9.5px;color:#666;text-decoration:none;text-shadow:0 1px 0 #eee}.navbar .nav .dropdown-toggle .caret{margin-top:8px}.navbar .nav>li>a:focus,.navbar .nav>li>a:hover{color:#09d;text-decoration:none;background-color:transparent}.navbar .nav>.active>a,.navbar .nav>.active>a:hover,.navbar .nav>.active>a:focus{color:#09d;text-decoration:none;background-color:transparent;-webkit-box-shadow:inset 0 3px 8px rgba(0,0,0,0.125);-moz-box-shadow:inset 0 3px 8px rgba(0,0,0,0.125);box-shadow:inset 0 3px 8px rgba(0,0,0,0.125)}.navbar .btn-navbar{display:none;float:right;padding:7px 10px;margin-right:5px;margin-left:5px;color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#dcdcdc;*background-color:#d4d4d4;background-image:-moz-linear-gradient(top,#e1e1e1,#d4d4d4);background-image:-webkit-gradient(linear,0 0,0 100%,from(#e1e1e1),to(#d4d4d4));background-image:-webkit-linear-gradient(top,#e1e1e1,#d4d4d4);background-image:-o-linear-gradient(top,#e1e1e1,#d4d4d4);background-image:linear-gradient(to bottom,#e1e1e1,#d4d4d4);background-repeat:repeat-x;border-color:#d4d4d4 #d4d4d4 #aeaeae;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffe1e1e1',endColorstr='#ffd4d4d4',GradientType=0);filter:progid:DXImageTransform.Microsoft.gradient(enabled=false);-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,0.1),0 1px 0 rgba(255,255,255,0.075);-moz-box-shadow:inset 0 1px 0 rgba(255,255,255,0.1),0 1px 0 rgba(255,255,255,0.075);box-shadow:inset 0 1px 0 rgba(255,255,255,0.1),0 1px 0 rgba(255,255,255,0.075)}.navbar .btn-navbar:hover,.navbar .btn-navbar:focus,.navbar .btn-navbar:active,.navbar .btn-navbar.active,.navbar .btn-navbar.disabled,.navbar .btn-navbar[disabled]{color:#fff;background-color:#d4d4d4;*background-color:#c8c8c8}.navbar .btn-navbar:active,.navbar .btn-navbar.active{background-color:#bbb \9}.navbar .btn-navbar .icon-bar{display:block;width:18px;height:2px;background-color:#f5f5f5;-webkit-border-radius:1px;-moz-border-radius:1px;border-radius:1px;-webkit-box-shadow:0 1px 0 rgba(0,0,0,0.25);-moz-box-shadow:0 1px 0 rgba(0,0,0,0.25);box-shadow:0 1px 0 rgba(0,0,0,0.25)}.btn-navbar .icon-bar+.icon-bar{margin-top:3px}.navbar .nav>li>.dropdown-menu:before{position:absolute;top:-7px;left:9px;display:inline-block;border-right:7px solid transparent;border-bottom:7px solid #ccc;border-left:7px solid transparent;border-bottom-color:rgba(0,0,0,0.2);content:''}.navbar .nav>li>.dropdown-menu:after{position:absolute;top:-6px;left:10px;display:inline-block;border-right:6px solid transparent;border-bottom:6px solid #fff;border-left:6px solid transparent;content:''}.navbar-fixed-bottom .nav>li>.dropdown-menu:before{top:auto;bottom:-7px;border-top:7px solid #ccc;border-bottom:0;border-top-color:rgba(0,0,0,0.2)}.navbar-fixed-bottom .nav>li>.dropdown-menu:after{top:auto;bottom:-6px;border-top:6px solid #fff;border-bottom:0}.navbar .nav li.dropdown>a:hover .caret,.navbar .nav li.dropdown>a:focus .caret{border-top-color:#09d;border-bottom-color:#09d}.navbar .nav li.dropdown.open>.dropdown-toggle,.navbar .nav li.dropdown.active>.dropdown-toggle,.navbar .nav li.dropdown.open.active>.dropdown-toggle{color:#09d;background-color:transparent}.navbar .nav li.dropdown>.dropdown-toggle .caret{border-top-color:#666;border-bottom-color:#666}.navbar .nav li.dropdown.open>.dropdown-toggle .caret,.navbar .nav li.dropdown.active>.dropdown-toggle .caret,.navbar .nav li.dropdown.open.active>.dropdown-toggle .caret{border-top-color:#09d;border-bottom-color:#09d}.navbar .pull-right>li>.dropdown-menu,.navbar .nav>li>.dropdown-menu.pull-right{right:0;left:auto}.navbar .pull-right>li>.dropdown-menu:before,.navbar .nav>li>.dropdown-menu.pull-right:before{right:12px;left:auto}.navbar .pull-right>li>.dropdown-menu:after,.navbar .nav>li>.dropdown-menu.pull-right:after{right:13px;left:auto}.navbar .pull-right>li>.dropdown-menu .dropdown-menu,.navbar .nav>li>.dropdown-menu.pull-right .dropdown-menu{right:100%;left:auto;margin-right:-1px;margin-left:0;-webkit-border-radius:6px 0 6px 6px;-moz-border-radius:6px 0 6px 6px;border-radius:6px 0 6px 6px}.navbar-inverse .navbar-inner{background-color:#7c828d;background-image:-moz-linear-gradient(top,#868d97,#6c737e);background-image:-webkit-gradient(linear,0 0,0 100%,from(#868d97),to(#6c737e));background-image:-webkit-linear-gradient(top,#868d97,#6c737e);background-image:-o-linear-gradient(top,#868d97,#6c737e);background-image:linear-gradient(to bottom,#868d97,#6c737e);background-repeat:repeat-x;border-color:#656b76;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff868d97',endColorstr='#ff6c737e',GradientType=0)}.navbar-inverse .brand,.navbar-inverse .nav>li>a{color:#ccc;text-shadow:0 -1px 0 rgba(0,0,0,0.25)}.navbar-inverse .brand:hover,.navbar-inverse .nav>li>a:hover,.navbar-inverse .brand:focus,.navbar-inverse .nav>li>a:focus{color:#fff}.navbar-inverse .brand{color:#ccc}.navbar-inverse .navbar-text{color:#ccc}.navbar-inverse .nav>li>a:focus,.navbar-inverse .nav>li>a:hover{color:#fff;background-color:transparent}.navbar-inverse .nav .active>a,.navbar-inverse .nav .active>a:hover,.navbar-inverse .nav .active>a:focus{color:#fff;background-color:#6c737e}.navbar-inverse .navbar-link{color:#ccc}.navbar-inverse .navbar-link:hover,.navbar-inverse .navbar-link:focus{color:#fff}.navbar-inverse .divider-vertical{border-right-color:#868d97;border-left-color:#6c737e}.navbar-inverse .nav li.dropdown.open>.dropdown-toggle,.navbar-inverse .nav li.dropdown.active>.dropdown-toggle,.navbar-inverse .nav li.dropdown.open.active>.dropdown-toggle{color:#fff;background-color:#6c737e}.navbar-inverse .nav li.dropdown>a:hover .caret,.navbar-inverse .nav li.dropdown>a:focus .caret{border-top-color:#fff;border-bottom-color:#fff}.navbar-inverse .nav li.dropdown>.dropdown-toggle .caret{border-top-color:#ccc;border-bottom-color:#ccc}.navbar-inverse .nav li.dropdown.open>.dropdown-toggle .caret,.navbar-inverse .nav li.dropdown.active>.dropdown-toggle .caret,.navbar-inverse .nav li.dropdown.open.active>.dropdown-toggle .caret{border-top-color:#fff;border-bottom-color:#fff}.navbar-inverse .navbar-search .search-query{color:#fff;background-color:#afb3ba;border-color:#6c737e;-webkit-box-shadow:inset 0 1px 2px rgba(0,0,0,0.1),0 1px 0 rgba(255,255,255,0.15);-moz-box-shadow:inset 0 1px 2px rgba(0,0,0,0.1),0 1px 0 rgba(255,255,255,0.15);box-shadow:inset 0 1px 2px rgba(0,0,0,0.1),0 1px 0 rgba(255,255,255,0.15);-webkit-transition:none;-moz-transition:none;-o-transition:none;transition:none}.navbar-inverse .navbar-search .search-query:-moz-placeholder{color:#eee}.navbar-inverse .navbar-search .search-query:-ms-input-placeholder{color:#eee}.navbar-inverse .navbar-search .search-query::-webkit-input-placeholder{color:#eee}.navbar-inverse .navbar-search .search-query:focus,.navbar-inverse .navbar-search .search-query.focused{padding:5px 15px;color:#434848;text-shadow:0 1px 0 #fff;background-color:#fff;border:0;outline:0;-webkit-box-shadow:0 0 3px rgba(0,0,0,0.15);-moz-box-shadow:0 0 3px rgba(0,0,0,0.15);box-shadow:0 0 3px rgba(0,0,0,0.15)}.navbar-inverse .btn-navbar{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#6f7681;*background-color:#606670;background-image:-moz-linear-gradient(top,#78808b,#606670);background-image:-webkit-gradient(linear,0 0,0 100%,from(#78808b),to(#606670));background-image:-webkit-linear-gradient(top,#78808b,#606670);background-image:-o-linear-gradient(top,#78808b,#606670);background-image:linear-gradient(to bottom,#78808b,#606670);background-repeat:repeat-x;border-color:#606670 #606670 #3d4147;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff78808b',endColorstr='#ff606670',GradientType=0);filter:progid:DXImageTransform.Microsoft.gradient(enabled=false)}.navbar-inverse .btn-navbar:hover,.navbar-inverse .btn-navbar:focus,.navbar-inverse .btn-navbar:active,.navbar-inverse .btn-navbar.active,.navbar-inverse .btn-navbar.disabled,.navbar-inverse .btn-navbar[disabled]{color:#fff;background-color:#606670;*background-color:#545a63}.navbar-inverse .btn-navbar:active,.navbar-inverse .btn-navbar.active{background-color:#494d55 \9}.breadcrumb{padding:8px 15px;margin:0 0 21px;list-style:none;background-color:#f5f5f5;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}.breadcrumb>li{display:inline-block;*display:inline;text-shadow:0 1px 0 #fff;*zoom:1}.breadcrumb>li>.divider{padding:0 5px;color:#ccc}.breadcrumb>.active{color:#ccc}.pagination{margin:21px 0}.pagination ul{display:inline-block;*display:inline;margin-bottom:0;margin-left:0;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;*zoom:1;-webkit-box-shadow:0 1px 2px rgba(0,0,0,0.05);-moz-box-shadow:0 1px 2px rgba(0,0,0,0.05);box-shadow:0 1px 2px rgba(0,0,0,0.05)}.pagination ul>li{display:inline}.pagination ul>li>a,.pagination ul>li>span{float:left;padding:4px 12px;line-height:21px;text-decoration:none;background-color:#fff;border:1px solid #ddd;border-left-width:0}.pagination ul>li>a:hover,.pagination ul>li>a:focus,.pagination ul>.active>a,.pagination ul>.active>span{background-color:#f5f5f5}.pagination ul>.active>a,.pagination ul>.active>span{color:#ccc;cursor:default}.pagination ul>.disabled>span,.pagination ul>.disabled>a,.pagination ul>.disabled>a:hover,.pagination ul>.disabled>a:focus{color:#ccc;cursor:default;background-color:transparent}.pagination ul>li:first-child>a,.pagination ul>li:first-child>span{border-left-width:1px;-webkit-border-bottom-left-radius:4px;border-bottom-left-radius:4px;-webkit-border-top-left-radius:4px;border-top-left-radius:4px;-moz-border-radius-bottomleft:4px;-moz-border-radius-topleft:4px}.pagination ul>li:last-child>a,.pagination ul>li:last-child>span{-webkit-border-top-right-radius:4px;border-top-right-radius:4px;-webkit-border-bottom-right-radius:4px;border-bottom-right-radius:4px;-moz-border-radius-topright:4px;-moz-border-radius-bottomright:4px}.pagination-centered{text-align:center}.pagination-right{text-align:right}.pagination-large ul>li>a,.pagination-large ul>li>span{padding:11px 19px;font-size:18.75px}.pagination-large ul>li:first-child>a,.pagination-large ul>li:first-child>span{-webkit-border-bottom-left-radius:6px;border-bottom-left-radius:6px;-webkit-border-top-left-radius:6px;border-top-left-radius:6px;-moz-border-radius-bottomleft:6px;-moz-border-radius-topleft:6px}.pagination-large ul>li:last-child>a,.pagination-large ul>li:last-child>span{-webkit-border-top-right-radius:6px;border-top-right-radius:6px;-webkit-border-bottom-right-radius:6px;border-bottom-right-radius:6px;-moz-border-radius-topright:6px;-moz-border-radius-bottomright:6px}.pagination-mini ul>li:first-child>a,.pagination-small ul>li:first-child>a,.pagination-mini ul>li:first-child>span,.pagination-small ul>li:first-child>span{-webkit-border-bottom-left-radius:3px;border-bottom-left-radius:3px;-webkit-border-top-left-radius:3px;border-top-left-radius:3px;-moz-border-radius-bottomleft:3px;-moz-border-radius-topleft:3px}.pagination-mini ul>li:last-child>a,.pagination-small ul>li:last-child>a,.pagination-mini ul>li:last-child>span,.pagination-small ul>li:last-child>span{-webkit-border-top-right-radius:3px;border-top-right-radius:3px;-webkit-border-bottom-right-radius:3px;border-bottom-right-radius:3px;-moz-border-radius-topright:3px;-moz-border-radius-bottomright:3px}.pagination-small ul>li>a,.pagination-small ul>li>span{padding:2px 10px;font-size:12.75px}.pagination-mini ul>li>a,.pagination-mini ul>li>span{padding:0 6px;font-size:11.25px}.pager{margin:21px 0;text-align:center;list-style:none;*zoom:1}.pager:before,.pager:after{display:table;line-height:0;content:""}.pager:after{clear:both}.pager li{display:inline}.pager li>a,.pager li>span{display:inline-block;padding:5px 14px;background-color:#fff;border:1px solid #ddd;-webkit-border-radius:15px;-moz-border-radius:15px;border-radius:15px}.pager li>a:hover,.pager li>a:focus{text-decoration:none;background-color:#f5f5f5}.pager .next>a,.pager .next>span{float:right}.pager .previous>a,.pager .previous>span{float:left}.pager .disabled>a,.pager .disabled>a:hover,.pager .disabled>a:focus,.pager .disabled>span{color:#ccc;cursor:default;background-color:#fff}.modal-backdrop{position:fixed;top:0;right:0;bottom:0;left:0;z-index:1040;background-color:#000}.modal-backdrop.fade{opacity:0}.modal-backdrop,.modal-backdrop.fade.in{opacity:.8;filter:alpha(opacity=80)}.modal{position:fixed;top:10%;left:50%;z-index:1050;width:560px;margin-left:-280px;background-color:#fff;border:1px solid #999;border:1px solid rgba(0,0,0,0.3);*border:1px solid #999;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px;outline:0;-webkit-box-shadow:0 3px 7px rgba(0,0,0,0.3);-moz-box-shadow:0 3px 7px rgba(0,0,0,0.3);box-shadow:0 3px 7px rgba(0,0,0,0.3);-webkit-background-clip:padding-box;-moz-background-clip:padding-box;background-clip:padding-box}.modal.fade{top:-25%;-webkit-transition:opacity .3s linear,top .3s ease-out;-moz-transition:opacity .3s linear,top .3s ease-out;-o-transition:opacity .3s linear,top .3s ease-out;transition:opacity .3s linear,top .3s ease-out}.modal.fade.in{top:10%}.modal-header{padding:9px 15px;border-bottom:1px solid #eee}.modal-header .close{margin-top:2px}.modal-header h3{margin:0;line-height:30px}.modal-body{position:relative;max-height:400px;padding:15px;overflow-y:auto}.modal-form{margin-bottom:0}.modal-footer{padding:14px 15px 15px;margin-bottom:0;text-align:right;background-color:#f5f5f5;border-top:1px solid #ddd;-webkit-border-radius:0 0 6px 6px;-moz-border-radius:0 0 6px 6px;border-radius:0 0 6px 6px;*zoom:1;-webkit-box-shadow:inset 0 1px 0 #fff;-moz-box-shadow:inset 0 1px 0 #fff;box-shadow:inset 0 1px 0 #fff}.modal-footer:before,.modal-footer:after{display:table;line-height:0;content:""}.modal-footer:after{clear:both}.modal-footer .btn+.btn{margin-bottom:0;margin-left:5px}.modal-footer .btn-group .btn+.btn{margin-left:-1px}.modal-footer .btn-block+.btn-block{margin-left:0}.tooltip{position:absolute;z-index:1030;display:block;font-size:11px;line-height:1.4;opacity:0;filter:alpha(opacity=0);visibility:visible}.tooltip.in{opacity:.8;filter:alpha(opacity=80)}.tooltip.top{padding:5px 0;margin-top:-3px}.tooltip.right{padding:0 5px;margin-left:3px}.tooltip.bottom{padding:5px 0;margin-top:3px}.tooltip.left{padding:0 5px;margin-left:-3px}.tooltip-inner{max-width:200px;padding:8px;color:#fff;text-align:center;text-decoration:none;background-color:#000;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}.tooltip-arrow{position:absolute;width:0;height:0;border-color:transparent;border-style:solid}.tooltip.top .tooltip-arrow{bottom:0;left:50%;margin-left:-5px;border-top-color:#000;border-width:5px 5px 0}.tooltip.right .tooltip-arrow{top:50%;left:0;margin-top:-5px;border-right-color:#000;border-width:5px 5px 5px 0}.tooltip.left .tooltip-arrow{top:50%;right:0;margin-top:-5px;border-left-color:#000;border-width:5px 0 5px 5px}.tooltip.bottom .tooltip-arrow{top:0;left:50%;margin-left:-5px;border-bottom-color:#000;border-width:0 5px 5px}.popover{position:absolute;top:0;left:0;z-index:1010;display:none;max-width:276px;padding:1px;text-align:left;white-space:normal;background-color:#fff;border:1px solid #ccc;border:1px solid rgba(0,0,0,0.2);-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px;-webkit-box-shadow:0 5px 10px rgba(0,0,0,0.2);-moz-box-shadow:0 5px 10px rgba(0,0,0,0.2);box-shadow:0 5px 10px rgba(0,0,0,0.2);-webkit-background-clip:padding-box;-moz-background-clip:padding;background-clip:padding-box}.popover.top{margin-top:-10px}.popover.right{margin-left:10px}.popover.bottom{margin-top:10px}.popover.left{margin-left:-10px}.popover-title{padding:8px 14px;margin:0;font-size:14px;font-weight:normal;line-height:18px;background-color:#f7f7f7;border-bottom:1px solid #ebebeb;-webkit-border-radius:5px 5px 0 0;-moz-border-radius:5px 5px 0 0;border-radius:5px 5px 0 0}.popover-title:empty{display:none}.popover-content{padding:9px 14px}.popover .arrow,.popover .arrow:after{position:absolute;display:block;width:0;height:0;border-color:transparent;border-style:solid}.popover .arrow{border-width:11px}.popover .arrow:after{border-width:10px;content:""}.popover.top .arrow{bottom:-11px;left:50%;margin-left:-11px;border-top-color:#999;border-top-color:rgba(0,0,0,0.25);border-bottom-width:0}.popover.top .arrow:after{bottom:1px;margin-left:-10px;border-top-color:#fff;border-bottom-width:0}.popover.right .arrow{top:50%;left:-11px;margin-top:-11px;border-right-color:#999;border-right-color:rgba(0,0,0,0.25);border-left-width:0}.popover.right .arrow:after{bottom:-10px;left:1px;border-right-color:#fff;border-left-width:0}.popover.bottom .arrow{top:-11px;left:50%;margin-left:-11px;border-bottom-color:#999;border-bottom-color:rgba(0,0,0,0.25);border-top-width:0}.popover.bottom .arrow:after{top:1px;margin-left:-10px;border-bottom-color:#fff;border-top-width:0}.popover.left .arrow{top:50%;right:-11px;margin-top:-11px;border-left-color:#999;border-left-color:rgba(0,0,0,0.25);border-right-width:0}.popover.left .arrow:after{right:1px;bottom:-10px;border-left-color:#fff;border-right-width:0}.thumbnails{margin-left:-20px;list-style:none;*zoom:1}.thumbnails:before,.thumbnails:after{display:table;line-height:0;content:""}.thumbnails:after{clear:both}.row-fluid .thumbnails{margin-left:0}.thumbnails>li{float:left;margin-bottom:21px;margin-left:20px}.thumbnail{display:block;padding:4px;line-height:21px;border:1px solid #ddd;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;-webkit-box-shadow:0 1px 3px rgba(0,0,0,0.055);-moz-box-shadow:0 1px 3px rgba(0,0,0,0.055);box-shadow:0 1px 3px rgba(0,0,0,0.055);-webkit-transition:all .2s ease-in-out;-moz-transition:all .2s ease-in-out;-o-transition:all .2s ease-in-out;transition:all .2s ease-in-out}a.thumbnail:hover,a.thumbnail:focus{border-color:#09d;-webkit-box-shadow:0 1px 4px rgba(0,105,214,0.25);-moz-box-shadow:0 1px 4px rgba(0,105,214,0.25);box-shadow:0 1px 4px rgba(0,105,214,0.25)}.thumbnail>img{display:block;max-width:100%;margin-right:auto;margin-left:auto}.thumbnail .caption{padding:9px;color:#666}.media,.media-body{overflow:hidden;*overflow:visible;zoom:1}.media,.media .media{margin-top:15px}.media:first-child{margin-top:0}.media-object{display:block}.media-heading{margin:0 0 5px}.media>.pull-left{margin-right:10px}.media>.pull-right{margin-left:10px}.media-list{margin-left:0;list-style:none}.label,.badge{display:inline-block;padding:2px 4px;font-size:12.69px;font-weight:bold;line-height:14px;color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);white-space:nowrap;vertical-align:baseline;background-color:#ccc}.label{-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px}.badge{padding-right:9px;padding-left:9px;-webkit-border-radius:9px;-moz-border-radius:9px;border-radius:9px}.label:empty,.badge:empty{display:none}a.label:hover,a.label:focus,a.badge:hover,a.badge:focus{color:#fff;text-decoration:none;cursor:pointer}.label-important,.badge-important{background-color:#fff}.label-important[href],.badge-important[href]{background-color:#e6e6e6}.label-warning,.badge-warning{background-color:#d47500}.label-warning[href],.badge-warning[href]{background-color:#a15900}.label-success,.badge-success{background-color:#fff}.label-success[href],.badge-success[href]{background-color:#e6e6e6}.label-info,.badge-info{background-color:#fff}.label-info[href],.badge-info[href]{background-color:#e6e6e6}.label-inverse,.badge-inverse{background-color:#434848}.label-inverse[href],.badge-inverse[href]{background-color:#2a2e2e}.btn .label,.btn .badge{position:relative;top:-1px}.btn-mini .label,.btn-mini .badge{top:0}@-webkit-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@-moz-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@-ms-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@-o-keyframes progress-bar-stripes{from{background-position:0 0}to{background-position:40px 0}}@keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}.progress{height:21px;margin-bottom:21px;overflow:hidden;background-color:#f7f7f7;background-image:-moz-linear-gradient(top,#f5f5f5,#f9f9f9);background-image:-webkit-gradient(linear,0 0,0 100%,from(#f5f5f5),to(#f9f9f9));background-image:-webkit-linear-gradient(top,#f5f5f5,#f9f9f9);background-image:-o-linear-gradient(top,#f5f5f5,#f9f9f9);background-image:linear-gradient(to bottom,#f5f5f5,#f9f9f9);background-repeat:repeat-x;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5',endColorstr='#fff9f9f9',GradientType=0);-webkit-box-shadow:inset 0 1px 2px rgba(0,0,0,0.1);-moz-box-shadow:inset 0 1px 2px rgba(0,0,0,0.1);box-shadow:inset 0 1px 2px rgba(0,0,0,0.1)}.progress .bar{float:left;width:0;height:100%;font-size:12px;color:#fff;text-align:center;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#0e90d2;background-image:-moz-linear-gradient(top,#149bdf,#0480be);background-image:-webkit-gradient(linear,0 0,0 100%,from(#149bdf),to(#0480be));background-image:-webkit-linear-gradient(top,#149bdf,#0480be);background-image:-o-linear-gradient(top,#149bdf,#0480be);background-image:linear-gradient(to bottom,#149bdf,#0480be);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff149bdf',endColorstr='#ff0480be',GradientType=0);-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,0.15);-moz-box-shadow:inset 0 -1px 0 rgba(0,0,0,0.15);box-shadow:inset 0 -1px 0 rgba(0,0,0,0.15);-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;-webkit-transition:width .6s ease;-moz-transition:width .6s ease;-o-transition:width .6s ease;transition:width .6s ease}.progress .bar+.bar{-webkit-box-shadow:inset 1px 0 0 rgba(0,0,0,0.15),inset 0 -1px 0 rgba(0,0,0,0.15);-moz-box-shadow:inset 1px 0 0 rgba(0,0,0,0.15),inset 0 -1px 0 rgba(0,0,0,0.15);box-shadow:inset 1px 0 0 rgba(0,0,0,0.15),inset 0 -1px 0 rgba(0,0,0,0.15)}.progress-striped .bar{background-color:#149bdf;background-image:-webkit-gradient(linear,0 100%,100% 0,color-stop(0.25,rgba(255,255,255,0.15)),color-stop(0.25,transparent),color-stop(0.5,transparent),color-stop(0.5,rgba(255,255,255,0.15)),color-stop(0.75,rgba(255,255,255,0.15)),color-stop(0.75,transparent),to(transparent));background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-moz-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);-webkit-background-size:40px 40px;-moz-background-size:40px 40px;-o-background-size:40px 40px;background-size:40px 40px}.progress.active .bar{-webkit-animation:progress-bar-stripes 2s linear infinite;-moz-animation:progress-bar-stripes 2s linear infinite;-ms-animation:progress-bar-stripes 2s linear infinite;-o-animation:progress-bar-stripes 2s linear infinite;animation:progress-bar-stripes 2s linear infinite}.progress-danger .bar,.progress .bar-danger{background-color:#dd514c;background-image:-moz-linear-gradient(top,#ee5f5b,#c43c35);background-image:-webkit-gradient(linear,0 0,0 100%,from(#ee5f5b),to(#c43c35));background-image:-webkit-linear-gradient(top,#ee5f5b,#c43c35);background-image:-o-linear-gradient(top,#ee5f5b,#c43c35);background-image:linear-gradient(to bottom,#ee5f5b,#c43c35);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffee5f5b',endColorstr='#ffc43c35',GradientType=0)}.progress-danger.progress-striped .bar,.progress-striped .bar-danger{background-color:#ee5f5b;background-image:-webkit-gradient(linear,0 100%,100% 0,color-stop(0.25,rgba(255,255,255,0.15)),color-stop(0.25,transparent),color-stop(0.5,transparent),color-stop(0.5,rgba(255,255,255,0.15)),color-stop(0.75,rgba(255,255,255,0.15)),color-stop(0.75,transparent),to(transparent));background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-moz-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent)}.progress-success .bar,.progress .bar-success{background-color:#5eb95e;background-image:-moz-linear-gradient(top,#62c462,#57a957);background-image:-webkit-gradient(linear,0 0,0 100%,from(#62c462),to(#57a957));background-image:-webkit-linear-gradient(top,#62c462,#57a957);background-image:-o-linear-gradient(top,#62c462,#57a957);background-image:linear-gradient(to bottom,#62c462,#57a957);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff62c462',endColorstr='#ff57a957',GradientType=0)}.progress-success.progress-striped .bar,.progress-striped .bar-success{background-color:#62c462;background-image:-webkit-gradient(linear,0 100%,100% 0,color-stop(0.25,rgba(255,255,255,0.15)),color-stop(0.25,transparent),color-stop(0.5,transparent),color-stop(0.5,rgba(255,255,255,0.15)),color-stop(0.75,rgba(255,255,255,0.15)),color-stop(0.75,transparent),to(transparent));background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-moz-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent)}.progress-info .bar,.progress .bar-info{background-color:#4bb1cf;background-image:-moz-linear-gradient(top,#5bc0de,#339bb9);background-image:-webkit-gradient(linear,0 0,0 100%,from(#5bc0de),to(#339bb9));background-image:-webkit-linear-gradient(top,#5bc0de,#339bb9);background-image:-o-linear-gradient(top,#5bc0de,#339bb9);background-image:linear-gradient(to bottom,#5bc0de,#339bb9);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de',endColorstr='#ff339bb9',GradientType=0)}.progress-info.progress-striped .bar,.progress-striped .bar-info{background-color:#5bc0de;background-image:-webkit-gradient(linear,0 100%,100% 0,color-stop(0.25,rgba(255,255,255,0.15)),color-stop(0.25,transparent),color-stop(0.5,transparent),color-stop(0.5,rgba(255,255,255,0.15)),color-stop(0.75,rgba(255,255,255,0.15)),color-stop(0.75,transparent),to(transparent));background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-moz-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent)}.progress-warning .bar,.progress .bar-warning{background-color:#ee8c14;background-image:-moz-linear-gradient(top,#ff9c21,#d47500);background-image:-webkit-gradient(linear,0 0,0 100%,from(#ff9c21),to(#d47500));background-image:-webkit-linear-gradient(top,#ff9c21,#d47500);background-image:-o-linear-gradient(top,#ff9c21,#d47500);background-image:linear-gradient(to bottom,#ff9c21,#d47500);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffff9c21',endColorstr='#ffd47500',GradientType=0)}.progress-warning.progress-striped .bar,.progress-striped .bar-warning{background-color:#ff9c21;background-image:-webkit-gradient(linear,0 100%,100% 0,color-stop(0.25,rgba(255,255,255,0.15)),color-stop(0.25,transparent),color-stop(0.5,transparent),color-stop(0.5,rgba(255,255,255,0.15)),color-stop(0.75,rgba(255,255,255,0.15)),color-stop(0.75,transparent),to(transparent));background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-moz-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent)}.accordion{margin-bottom:21px}.accordion-group{margin-bottom:2px;border:1px solid #e5e5e5;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}.accordion-heading{border-bottom:0}.accordion-heading .accordion-toggle{display:block;padding:8px 15px}.accordion-toggle{cursor:pointer}.accordion-inner{padding:9px 15px;border-top:1px solid #e5e5e5}.carousel{position:relative;margin-bottom:21px;line-height:1}.carousel-inner{position:relative;width:100%;overflow:hidden}.carousel-inner>.item{position:relative;display:none;-webkit-transition:.6s ease-in-out left;-moz-transition:.6s ease-in-out left;-o-transition:.6s ease-in-out left;transition:.6s ease-in-out left}.carousel-inner>.item>img,.carousel-inner>.item>a>img{display:block;line-height:1}.carousel-inner>.active,.carousel-inner>.next,.carousel-inner>.prev{display:block}.carousel-inner>.active{left:0}.carousel-inner>.next,.carousel-inner>.prev{position:absolute;top:0;width:100%}.carousel-inner>.next{left:100%}.carousel-inner>.prev{left:-100%}.carousel-inner>.next.left,.carousel-inner>.prev.right{left:0}.carousel-inner>.active.left{left:-100%}.carousel-inner>.active.right{left:100%}.carousel-control{position:absolute;top:40%;left:15px;width:40px;height:40px;margin-top:-20px;font-size:60px;font-weight:100;line-height:30px;color:#fff;text-align:center;background:#2d2d2d;border:3px solid #fff;-webkit-border-radius:23px;-moz-border-radius:23px;border-radius:23px;opacity:.5;filter:alpha(opacity=50)}.carousel-control.right{right:15px;left:auto}.carousel-control:hover,.carousel-control:focus{color:#fff;text-decoration:none;opacity:.9;filter:alpha(opacity=90)}.carousel-indicators{position:absolute;top:15px;right:15px;z-index:5;margin:0;list-style:none}.carousel-indicators li{display:block;float:left;width:10px;height:10px;margin-left:5px;text-indent:-999px;background-color:#ccc;background-color:rgba(255,255,255,0.25);border-radius:5px}.carousel-indicators .active{background-color:#fff}.carousel-caption{position:absolute;right:0;bottom:0;left:0;padding:15px;background:#434848;background:rgba(0,0,0,0.75)}.carousel-caption h4,.carousel-caption p{line-height:21px;color:#fff}.carousel-caption h4{margin:0 0 5px}.carousel-caption p{margin-bottom:0}.hero-unit{padding:60px;margin-bottom:30px;font-size:18px;font-weight:200;line-height:31.5px;color:inherit;background-color:#eee;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px}.hero-unit h1{margin-bottom:0;font-size:60px;line-height:1;letter-spacing:-1px;color:#2d2d2d}.hero-unit li{line-height:31.5px}.pull-right{float:right}.pull-left{float:left}.hide{display:none}.show{display:block}.invisible{visibility:hidden}.affix{position:fixed}.text-warning{color:#d47500}a.text-warning:hover,a.text-warning:focus{color:#a15900}.text-error{color:#cd0200}a.text-error:hover,a.text-error:focus{color:#9a0200}.text-info{color:#3399f3}a.text-info:hover,a.text-info:focus{color:#0e80e5}.text-success{color:#3cb521}a.text-success:hover,a.text-success:focus{color:#2e8a19}.navbar .brand{text-shadow:0 1px 0 rgba(255,255,255,0.3);-webkit-transition:color ease-in-out .2s;-moz-transition:color ease-in-out .2s;-o-transition:color ease-in-out .2s;transition:color ease-in-out .2s}.navbar .brand:hover{color:#09d;-webkit-transition:color ease-in-out .2s;-moz-transition:color ease-in-out .2s;-o-transition:color ease-in-out .2s;transition:color ease-in-out .2s}.navbar .nav>li>a{padding:11px 10px 8px;text-shadow:0 1px 0 rgba(255,255,255,0.3);-webkit-transition:color ease-in-out .2s;-moz-transition:color ease-in-out .2s;-o-transition:color ease-in-out .2s;transition:color ease-in-out .2s}.navbar .nav>li>a:hover{-webkit-transition:color ease-in-out .2s;-moz-transition:color ease-in-out .2s;-o-transition:color ease-in-out .2s;transition:color ease-in-out .2s}.navbar .navbar-text{padding:11px 10px 8px;line-height:inherit}.navbar .navbar-search .search-query,.navbar .navbar-search .search-query:hover{margin-bottom:0;line-height:normal;color:#ccc;-webkit-box-shadow:inset 0 1px 2px rgba(0,0,0,0.5);-moz-box-shadow:inset 0 1px 2px rgba(0,0,0,0.5);box-shadow:inset 0 1px 2px rgba(0,0,0,0.5)}.navbar .navbar-search .search-query:-moz-placeholder,.navbar .navbar-search .search-query:hover:-moz-placeholder{color:#ccc}.navbar .navbar-search .search-query:-ms-input-placeholder,.navbar .navbar-search .search-query:hover:-ms-input-placeholder{color:#ccc}.navbar .navbar-search .search-query::-webkit-input-placeholder,.navbar .navbar-search .search-query:hover::-webkit-input-placeholder{color:#ccc}.navbar .navbar-search .search-query:focus,.navbar .navbar-search .search-query:hover:focus,.navbar .navbar-search .search-query.focused,.navbar .navbar-search .search-query:hover.focused{color:#666;-webkit-box-shadow:inset 0 1px 2px rgba(0,0,0,0.5);-moz-box-shadow:inset 0 1px 2px rgba(0,0,0,0.5);box-shadow:inset 0 1px 2px rgba(0,0,0,0.5)}.navbar-inverse .brand{text-shadow:-1px -1px 0 rgba(0,0,0,0.3)}.navbar-inverse .brand:hover{color:#fff}.navbar-inverse .nav>li>a{text-shadow:-1px -1px 0 rgba(0,0,0,0.3)}.navbar-inverse .nav li.dropdown.open>.dropdown-toggle .caret,.navbar-inverse .nav li.dropdown:hover>.dropdown-toggle .caret,.navbar-inverse .nav li.dropdown.open:hover>.dropdown-toggle .caret{border-top-color:#fff}.navbar-inverse .navbar-search .search-query,.navbar-inverse .navbar-search .search-query:hover{color:#fff}.navbar-inverse .navbar-search .search-query:-moz-placeholder,.navbar-inverse .navbar-search .search-query:hover:-moz-placeholder{color:#eee}.navbar-inverse .navbar-search .search-query:-ms-input-placeholder,.navbar-inverse .navbar-search .search-query:hover:-ms-input-placeholder{color:#eee}.navbar-inverse .navbar-search .search-query::-webkit-input-placeholder,.navbar-inverse .navbar-search .search-query:hover::-webkit-input-placeholder{color:#eee}@media(max-width:979px){.navbar .nav-collapse .nav li>a:hover{color:#fff;text-shadow:none;background-color:#09d}.navbar .nav-collapse .navbar-search{border-top:0;border-bottom:0}.navbar-inverse .nav-collapse .nav li>a{color:#ccc!important}.navbar-inverse .nav-collapse .nav li>a:hover{background-color:#09d!important}.navbar-inverse .nav-collapse .nav-header{color:#eee}}div.subnav .nav>li>a{color:#666;-webkit-transition:color ease-in-out .2s;-moz-transition:color ease-in-out .2s;-o-transition:color ease-in-out .2s;transition:color ease-in-out .2s}div.subnav .nav>li>a:hover{color:#09d;border-left-color:#ccc;-webkit-transition:color ease-in-out .2s;-moz-transition:color ease-in-out .2s;-o-transition:color ease-in-out .2s;transition:color ease-in-out .2s}div.subnav .nav>li.active>a{color:#666}div.subnav .nav>li.active>a:hover{color:#666}div.subnav .nav>li.dropdown>.dropdown-toggle{background-color:transparent}div.subnav .nav>li.dropdown.open>.dropdown-toggle{color:#666;border-right:1px solid #e5e5e5;border-left:1px solid whiteSmoke}div.subnav .nav>li.dropdown.open>.dropdown-toggle:hover{color:#09d}div.subnav-fixed{top:41px}.nav>li>a:hover,.nav>li>a:focus{background-color:rgba(0,0,0,0.05)}.nav>li.dropdown>.dropdown-toggle .caret,.nav>li.dropdown.active>.dropdown-toggle .caret,.nav>li.dropdown.open>.dropdown-toggle .caret,.nav>li.dropdown.open.active>.dropdown-toggle .caret{border-top:4px solid #666;border-top-color:#666;opacity:1}.nav>li.dropdown>.dropdown-toggle:hover .caret,.nav>li.dropdown.active>.dropdown-toggle:hover .caret,.nav>li.dropdown.open>.dropdown-toggle:hover .caret,.nav>li.dropdown.open.active>.dropdown-toggle:hover .caret{border-top:4px solid #09d;border-top-color:#09d}.nav-list .divider{background-color:rgba(0,0,0,0.1);border-bottom-color:rgba(255,255,255,0.5)}.table tbody tr.success>td,.table tbody tr.error>td,.table tbody tr.info>td{color:#fff}.control-group.warning .control-label,.control-group.warning .help-block,.control-group.warning .help-inline{color:#e29235}.control-group.warning .checkbox,.control-group.warning .radio,.control-group.warning input,.control-group.warning select,.control-group.warning textarea{color:#e29235}.control-group.warning input,.control-group.warning select,.control-group.warning textarea{border-color:#e29235;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.control-group.warning input:focus,.control-group.warning select:focus,.control-group.warning textarea:focus{border-color:#c7781d;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #efc28e;-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #efc28e;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #efc28e}.control-group.warning .input-prepend .add-on,.control-group.warning .input-append .add-on{color:#e29235;background-color:#d47500;border-color:#e29235}.control-group.error .control-label,.control-group.error .help-block,.control-group.error .help-inline{color:#c00}.control-group.error .checkbox,.control-group.error .radio,.control-group.error input,.control-group.error select,.control-group.error textarea{color:#c00}.control-group.error input,.control-group.error select,.control-group.error textarea{border-color:#c00;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.control-group.error input:focus,.control-group.error select:focus,.control-group.error textarea:focus{border-color:#900;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #f33;-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #f33;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #f33}.control-group.error .input-prepend .add-on,.control-group.error .input-append .add-on{color:#c00;background-color:#cd0200;border-color:#c00}.control-group.success .control-label,.control-group.success .help-block,.control-group.success .help-inline{color:#2ba949}.control-group.success .checkbox,.control-group.success .radio,.control-group.success input,.control-group.success select,.control-group.success textarea{color:#2ba949}.control-group.success input,.control-group.success select,.control-group.success textarea{border-color:#2ba949;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.control-group.success input:focus,.control-group.success select:focus,.control-group.success textarea:focus{border-color:#218037;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #63d77e;-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #63d77e;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #63d77e}.control-group.success .input-prepend .add-on,.control-group.success .input-append .add-on{color:#2ba949;background-color:#3cb521;border-color:#2ba949}.control-group.info .control-label,.control-group.info .help-block,.control-group.info .help-inline{color:#3399f3}.control-group.info .checkbox,.control-group.info .radio,.control-group.info input,.control-group.info select,.control-group.info textarea{color:#3399f3}.control-group.info input,.control-group.info select,.control-group.info textarea{border-color:#3399f3;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.control-group.info input:focus,.control-group.info select:focus,.control-group.info textarea:focus{border-color:#0e80e5;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #93c9f9;-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #93c9f9;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #93c9f9}.control-group.info .input-prepend .add-on,.control-group.info .input-append .add-on{color:#3399f3;background-color:#3399f3;border-color:#3399f3}.alert{text-shadow:0 -1px 0 rgba(0,0,0,0.25)}.alert h1,.alert h2,.alert h3,.alert h4,.alert h5,.alert h6{font-weight:bold;color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25)}.alert a{color:#fff;text-decoration:underline}.label-important,.badge-important{background-color:#cd0200}.label-warning,.badge-warning{background-color:#d47500}.label-success,.badge-success{background-color:#3cb521}.label-info,.badge-info{background-color:#3399f3}.hero-unit{border:1px solid rgba(0,0,0,0.1)}.pull-right{float:right}.pull-left{float:left}.hide{display:none}.show{display:block}.invisible{visibility:hidden}.affix{position:fixed}
\ No newline at end of file
diff --git a/core/src/main/resources/spark/ui/static/webui.css b/core/src/main/resources/spark/ui/static/webui.css
deleted file mode 100644
index 9914a8ad2a..0000000000
--- a/core/src/main/resources/spark/ui/static/webui.css
+++ /dev/null
@@ -1,82 +0,0 @@
-.navbar .brand {
-  height: 50px;
-  width: 110px;
-  margin-left: 1px;
-  padding: 0;
-}
-
-.version {
-  line-height: 30px;
-  vertical-align: bottom;
-  font-size: 12px;
-  padding: 0;
-  margin: 0;
-  font-weight: bold;
-  color: #777;
-}
-
-.navbar-inner {
-  padding-top: 2px;
-  height: 50px;
-}
-
-.navbar-inner .nav {
-  margin-top: 5px;
-  font-size: 15px;
-}
-
-
-#infolist {
-  margin-left: 400px;
-  margin-top: 14px;
-}
-
-#infolist li {
-  display: inline;
-  list-style-type: none;
-  list-style-position: outside;
-  padding-right: 20px;
-  padding-top: 10px;
-  padding-bottom: 10px;
-}
-
-.progress-cell {
-  width: 134px;
-  border-right: 0;
-  padding: 0;
-  padding-top: 7px;
-  padding-left: 4px;
-  line-height: 15px !important;
-}
-
-.table-fixed {
-  table-layout:fixed;
-}
-
-.table td {
-  vertical-align: middle !important;
-}
-
-.progress-completed .bar,
-.progress .bar-completed {
-  background-color: #b3def9;
-  background-image: -moz-linear-gradient(top, #addfff, #badcf2);
-  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#addfff), to(#badcf2));
-  background-image: -webkit-linear-gradient(top, #addfff, #badcf2);
-  background-image: -o-linear-gradient(top, #addfff, #badcf2);
-  background-image: linear-gradient(to bottom, #addfff, #badcf2);
-  background-repeat: repeat-x;
-  filter: progid:dximagetransform.microsoft.gradient(startColorstr='#ffaddfff', endColorstr='#ffbadcf2', GradientType=0);
-}
-
-.progress-running .bar,
-.progress .bar-running {
-  background-color: #c2ebfa;
-  background-image: -moz-linear-gradient(top, #bdedff, #c7e8f5);
-  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#bdedff), to(#c7e8f5));
-  background-image: -webkit-linear-gradient(top, #bdedff, #c7e8f5);
-  background-image: -o-linear-gradient(top, #bdedff, #c7e8f5);
-  background-image: linear-gradient(to bottom, #bdedff, #c7e8f5);
-  background-repeat: repeat-x;
-  filter: progid:dximagetransform.microsoft.gradient(startColorstr='#ffbdedff', endColorstr='#ffc7e8f5', GradientType=0);
-}
diff --git a/core/src/main/scala/spark/Accumulators.scala b/core/src/main/scala/org/apache/spark/Accumulators.scala
index 6ff92ce833..6e922a612a 100644
--- a/core/src/main/scala/spark/Accumulators.scala
+++ b/core/src/main/scala/org/apache/spark/Accumulators.scala
@@ -15,12 +15,13 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import java.io._
 
 import scala.collection.mutable.Map
 import scala.collection.generic.Growable
+import org.apache.spark.serializer.JavaSerializer
 
 /**
  * A datatype that can be accumulated, i.e. has an commutative and associative "add" operation,
@@ -28,7 +29,7 @@ import scala.collection.generic.Growable
  *
  * You must define how to add data, and how to merge two of these together.  For some datatypes,
  * such as a counter, these might be the same operation. In that case, you can use the simpler
- * [[spark.Accumulator]]. They won't always be the same, though -- e.g., imagine you are
+ * [[org.apache.spark.Accumulator]]. They won't always be the same, though -- e.g., imagine you are
  * accumulating a set. You will add items to the set, and you will union two sets together.
  *
  * @param initialValue initial value of accumulator
@@ -176,7 +177,7 @@ class GrowableAccumulableParam[R <% Growable[T] with TraversableOnce[T] with Ser
   def zero(initialValue: R): R = {
     // We need to clone initialValue, but it's hard to specify that R should also be Cloneable.
     // Instead we'll serialize it to a buffer and load it back.
-    val ser = (new spark.JavaSerializer).newInstance()
+    val ser = new JavaSerializer().newInstance()
     val copy = ser.deserialize[R](ser.serialize(initialValue))
     copy.clear()   // In case it contained stuff
     copy
@@ -184,7 +185,7 @@ class GrowableAccumulableParam[R <% Growable[T] with TraversableOnce[T] with Ser
 }
 
 /**
- * A simpler value of [[spark.Accumulable]] where the result type being accumulated is the same
+ * A simpler value of [[org.apache.spark.Accumulable]] where the result type being accumulated is the same
  * as the types of elements being merged.
  *
  * @param initialValue initial value of accumulator
@@ -195,7 +196,7 @@ class Accumulator[T](@transient initialValue: T, param: AccumulatorParam[T])
   extends Accumulable[T,T](initialValue, param)
 
 /**
- * A simpler version of [[spark.AccumulableParam]] where the only datatype you can add in is the same type
+ * A simpler version of [[org.apache.spark.AccumulableParam]] where the only datatype you can add in is the same type
  * as the accumulated value. An implicit AccumulatorParam object needs to be available when you create
  * Accumulators of a specific type.
  *
diff --git a/core/src/main/scala/spark/Aggregator.scala b/core/src/main/scala/org/apache/spark/Aggregator.scala
index 9af401986d..3ef402926e 100644
--- a/core/src/main/scala/spark/Aggregator.scala
+++ b/core/src/main/scala/org/apache/spark/Aggregator.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import java.util.{HashMap => JHashMap}
 
diff --git a/core/src/main/scala/spark/BlockStoreShuffleFetcher.scala b/core/src/main/scala/org/apache/spark/BlockStoreShuffleFetcher.scala
index 1ec95ed9b8..908ff56a6b 100644
--- a/core/src/main/scala/spark/BlockStoreShuffleFetcher.scala
+++ b/core/src/main/scala/org/apache/spark/BlockStoreShuffleFetcher.scala
@@ -15,15 +15,15 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import scala.collection.mutable.ArrayBuffer
 import scala.collection.mutable.HashMap
 
-import spark.executor.{ShuffleReadMetrics, TaskMetrics}
-import spark.serializer.Serializer
-import spark.storage.BlockManagerId
-import spark.util.CompletionIterator
+import org.apache.spark.executor.{ShuffleReadMetrics, TaskMetrics}
+import org.apache.spark.serializer.Serializer
+import org.apache.spark.storage.BlockManagerId
+import org.apache.spark.util.CompletionIterator
 
 
 private[spark] class BlockStoreShuffleFetcher extends ShuffleFetcher with Logging {
diff --git a/core/src/main/scala/spark/CacheManager.scala b/core/src/main/scala/org/apache/spark/CacheManager.scala
index 81314805a9..e299a106ee 100644
--- a/core/src/main/scala/spark/CacheManager.scala
+++ b/core/src/main/scala/org/apache/spark/CacheManager.scala
@@ -15,10 +15,11 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import scala.collection.mutable.{ArrayBuffer, HashSet}
-import spark.storage.{BlockManager, StorageLevel}
+import org.apache.spark.storage.{BlockManager, StorageLevel}
+import org.apache.spark.rdd.RDD
 
 
 /** Spark class responsible for passing RDDs split contents to the BlockManager and making
diff --git a/core/src/main/scala/spark/Dependency.scala b/core/src/main/scala/org/apache/spark/Dependency.scala
index d5a9606570..cc30105940 100644
--- a/core/src/main/scala/spark/Dependency.scala
+++ b/core/src/main/scala/org/apache/spark/Dependency.scala
@@ -15,7 +15,9 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
+
+import org.apache.spark.rdd.RDD
 
 /**
  * Base class for dependencies.
diff --git a/core/src/main/scala/spark/FetchFailedException.scala b/core/src/main/scala/org/apache/spark/FetchFailedException.scala
index a2dae6cae9..d242047502 100644
--- a/core/src/main/scala/spark/FetchFailedException.scala
+++ b/core/src/main/scala/org/apache/spark/FetchFailedException.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
-import spark.storage.BlockManagerId
+import org.apache.spark.storage.BlockManagerId
 
 private[spark] class FetchFailedException(
     taskEndReason: TaskEndReason,
diff --git a/core/src/main/scala/spark/HttpFileServer.scala b/core/src/main/scala/org/apache/spark/HttpFileServer.scala
index a13a7a2859..ad1ee20045 100644
--- a/core/src/main/scala/spark/HttpFileServer.scala
+++ b/core/src/main/scala/org/apache/spark/HttpFileServer.scala
@@ -15,10 +15,11 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import java.io.{File}
 import com.google.common.io.Files
+import org.apache.spark.util.Utils
 
 private[spark] class HttpFileServer extends Logging {
   
diff --git a/core/src/main/scala/spark/HttpServer.scala b/core/src/main/scala/org/apache/spark/HttpServer.scala
index c9dffbc631..cdfc9dd54e 100644
--- a/core/src/main/scala/spark/HttpServer.scala
+++ b/core/src/main/scala/org/apache/spark/HttpServer.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import java.io.File
 import java.net.InetAddress
@@ -26,6 +26,7 @@ import org.eclipse.jetty.server.handler.DefaultHandler
 import org.eclipse.jetty.server.handler.HandlerList
 import org.eclipse.jetty.server.handler.ResourceHandler
 import org.eclipse.jetty.util.thread.QueuedThreadPool
+import org.apache.spark.util.Utils
 
 /**
  * Exception type thrown by HttpServer when it is in the wrong state for an operation.
diff --git a/core/src/main/scala/spark/Logging.scala b/core/src/main/scala/org/apache/spark/Logging.scala
index 79b0362830..6a973ea495 100644
--- a/core/src/main/scala/spark/Logging.scala
+++ b/core/src/main/scala/org/apache/spark/Logging.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import org.slf4j.Logger
 import org.slf4j.LoggerFactory
diff --git a/core/src/main/scala/spark/MapOutputTracker.scala b/core/src/main/scala/org/apache/spark/MapOutputTracker.scala
index 0cd0341a72..ae7cf2a893 100644
--- a/core/src/main/scala/spark/MapOutputTracker.scala
+++ b/core/src/main/scala/org/apache/spark/MapOutputTracker.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import java.io._
 import java.util.zip.{GZIPInputStream, GZIPOutputStream}
@@ -30,9 +30,9 @@ import akka.remote._
 import akka.util.Duration
 
 
-import spark.scheduler.MapStatus
-import spark.storage.BlockManagerId
-import spark.util.{MetadataCleaner, TimeStampedHashMap}
+import org.apache.spark.scheduler.MapStatus
+import org.apache.spark.storage.BlockManagerId
+import org.apache.spark.util.{Utils, MetadataCleaner, TimeStampedHashMap}
 
 
 private[spark] sealed trait MapOutputTrackerMessage
diff --git a/core/src/main/scala/spark/Partition.scala b/core/src/main/scala/org/apache/spark/Partition.scala
index 2a4edcec98..87914a061f 100644
--- a/core/src/main/scala/spark/Partition.scala
+++ b/core/src/main/scala/org/apache/spark/Partition.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 /**
  * A partition of an RDD.
diff --git a/core/src/main/scala/spark/Partitioner.scala b/core/src/main/scala/org/apache/spark/Partitioner.scala
index 65da8235d7..0e2c987a59 100644
--- a/core/src/main/scala/spark/Partitioner.scala
+++ b/core/src/main/scala/org/apache/spark/Partitioner.scala
@@ -15,7 +15,10 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
+
+import org.apache.spark.util.Utils
+import org.apache.spark.rdd.RDD
 
 /**
  * An object that defines how the elements in a key-value pair RDD are partitioned by key.
@@ -56,7 +59,7 @@ object Partitioner {
 }
 
 /**
- * A [[spark.Partitioner]] that implements hash-based partitioning using Java's `Object.hashCode`.
+ * A [[org.apache.spark.Partitioner]] that implements hash-based partitioning using Java's `Object.hashCode`.
  *
  * Java arrays have hashCodes that are based on the arrays' identities rather than their contents,
  * so attempting to partition an RDD[Array[_]] or RDD[(Array[_], _)] using a HashPartitioner will
@@ -79,7 +82,7 @@ class HashPartitioner(partitions: Int) extends Partitioner {
 }
 
 /**
- * A [[spark.Partitioner]] that partitions sortable records by range into roughly equal ranges.
+ * A [[org.apache.spark.Partitioner]] that partitions sortable records by range into roughly equal ranges.
  * Determines the ranges by sampling the RDD passed in.
  */
 class RangePartitioner[K <% Ordered[K]: ClassManifest, V](
diff --git a/core/src/main/scala/spark/SerializableWritable.scala b/core/src/main/scala/org/apache/spark/SerializableWritable.scala
index 936d8e6241..fdd4c24e23 100644
--- a/core/src/main/scala/spark/SerializableWritable.scala
+++ b/core/src/main/scala/org/apache/spark/SerializableWritable.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import java.io._
 
diff --git a/core/src/main/scala/spark/ShuffleFetcher.scala b/core/src/main/scala/org/apache/spark/ShuffleFetcher.scala
index a6839cf7a4..307c383a89 100644
--- a/core/src/main/scala/spark/ShuffleFetcher.scala
+++ b/core/src/main/scala/org/apache/spark/ShuffleFetcher.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
-import spark.executor.TaskMetrics
-import spark.serializer.Serializer
+import org.apache.spark.executor.TaskMetrics
+import org.apache.spark.serializer.Serializer
 
 
 private[spark] abstract class ShuffleFetcher {
diff --git a/core/src/main/scala/spark/SparkContext.scala b/core/src/main/scala/org/apache/spark/SparkContext.scala
index 7ce9505b9c..f2641851cb 100644
--- a/core/src/main/scala/spark/SparkContext.scala
+++ b/core/src/main/scala/org/apache/spark/SparkContext.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import java.io._
 import java.net.URI
@@ -52,22 +52,20 @@ import org.apache.hadoop.mapreduce.lib.input.{FileInputFormat => NewFileInputFor
 
 import org.apache.mesos.MesosNativeLibrary
 
-import spark.deploy.LocalSparkCluster
-import spark.partial.{ApproximateEvaluator, PartialResult}
-import spark.rdd.{CheckpointRDD, HadoopRDD, NewHadoopRDD, UnionRDD, ParallelCollectionRDD,
-  OrderedRDDFunctions}
-import spark.scheduler._
-import spark.scheduler.cluster.{StandaloneSchedulerBackend, SparkDeploySchedulerBackend,
+import org.apache.spark.deploy.LocalSparkCluster
+import org.apache.spark.partial.{ApproximateEvaluator, PartialResult}
+import org.apache.spark.rdd._
+import org.apache.spark.scheduler._
+import org.apache.spark.scheduler.cluster.{StandaloneSchedulerBackend, SparkDeploySchedulerBackend,
   ClusterScheduler, Schedulable, SchedulingMode}
-import spark.scheduler.local.LocalScheduler
-import spark.scheduler.mesos.{CoarseMesosSchedulerBackend, MesosSchedulerBackend}
-import spark.storage.{StorageStatus, StorageUtils, RDDInfo, BlockManagerSource}
-import spark.ui.SparkUI
-import spark.util.{MetadataCleaner, TimeStampedHashMap}
-import scala.Some
-import spark.scheduler.StageInfo
-import spark.storage.RDDInfo
-import spark.storage.StorageStatus
+import org.apache.spark.scheduler.local.LocalScheduler
+import org.apache.spark.scheduler.mesos.{CoarseMesosSchedulerBackend, MesosSchedulerBackend}
+import org.apache.spark.storage.{StorageUtils, BlockManagerSource}
+import org.apache.spark.ui.SparkUI
+import org.apache.spark.util.{ClosureCleaner, Utils, MetadataCleaner, TimeStampedHashMap}
+import org.apache.spark.scheduler.StageInfo
+import org.apache.spark.storage.RDDInfo
+import org.apache.spark.storage.StorageStatus
 
 /**
  * Main entry point for Spark functionality. A SparkContext represents the connection to a Spark
@@ -494,14 +492,14 @@ class SparkContext(
   // Methods for creating shared variables
 
   /**
-   * Create an [[spark.Accumulator]] variable of a given type, which tasks can "add" values
+   * Create an [[org.apache.spark.Accumulator]] variable of a given type, which tasks can "add" values
    * to using the `+=` method. Only the driver can access the accumulator's `value`.
    */
   def accumulator[T](initialValue: T)(implicit param: AccumulatorParam[T]) =
     new Accumulator(initialValue, param)
 
   /**
-   * Create an [[spark.Accumulable]] shared variable, to which tasks can add values with `+=`.
+   * Create an [[org.apache.spark.Accumulable]] shared variable, to which tasks can add values with `+=`.
    * Only the driver can access the accumuable's `value`.
    * @tparam T accumulator type
    * @tparam R type that can be added to the accumulator
@@ -521,7 +519,7 @@ class SparkContext(
   }
 
   /**
-   * Broadcast a read-only variable to the cluster, returning a [[spark.broadcast.Broadcast]] object for
+   * Broadcast a read-only variable to the cluster, returning a [[org.apache.spark.broadcast.Broadcast]] object for
    * reading it in distributed functions. The variable will be sent to each cluster only once.
    */
   def broadcast[T](value: T) = env.broadcastManager.newBroadcast[T](value, isLocal)
@@ -633,20 +631,26 @@ class SparkContext(
    * filesystems), or an HTTP, HTTPS or FTP URI.
    */
   def addJar(path: String) {
-    if (null == path) {
+    if (path == null) {
       logWarning("null specified as parameter to addJar",
         new SparkException("null specified as parameter to addJar"))
     } else {
-      val env = SparkEnv.get
-      val uri = new URI(path)
-      val key = uri.getScheme match {
-        case null | "file" =>
-          if (env.hadoop.isYarnMode()) {
-            logWarning("local jar specified as parameter to addJar under Yarn mode")
-            return
-          }
-          env.httpFileServer.addJar(new File(uri.getPath))
-        case _ => path
+      var key = ""
+      if (path.contains("\\")) {
+        // For local paths with backslashes on Windows, URI throws an exception
+        key = env.httpFileServer.addJar(new File(path))
+      } else {
+        val uri = new URI(path)
+        key = uri.getScheme match {
+          case null | "file" =>
+            if (env.hadoop.isYarnMode()) {
+              logWarning("local jar specified as parameter to addJar under Yarn mode")
+              return
+            }
+            env.httpFileServer.addJar(new File(uri.getPath))
+          case _ =>
+            path
+        }
       }
       addedJars(key) = System.currentTimeMillis
       logInfo("Added JAR " + path + " at " + key + " with timestamp " + addedJars(key))
diff --git a/core/src/main/scala/spark/SparkEnv.scala b/core/src/main/scala/org/apache/spark/SparkEnv.scala
index 1f66e9cc7f..478e5a0aaf 100644
--- a/core/src/main/scala/spark/SparkEnv.scala
+++ b/core/src/main/scala/org/apache/spark/SparkEnv.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import collection.mutable
 import serializer.Serializer
@@ -23,15 +23,14 @@ import serializer.Serializer
 import akka.actor.{Actor, ActorRef, Props, ActorSystemImpl, ActorSystem}
 import akka.remote.RemoteActorRefProvider
 
-import spark.broadcast.BroadcastManager
-import spark.metrics.MetricsSystem
-import spark.deploy.SparkHadoopUtil
-import spark.storage.BlockManager
-import spark.storage.BlockManagerMaster
-import spark.network.ConnectionManager
-import spark.serializer.{Serializer, SerializerManager}
-import spark.util.AkkaUtils
-import spark.api.python.PythonWorkerFactory
+import org.apache.spark.broadcast.BroadcastManager
+import org.apache.spark.metrics.MetricsSystem
+import org.apache.spark.deploy.SparkHadoopUtil
+import org.apache.spark.storage.{BlockManagerMasterActor, BlockManager, BlockManagerMaster}
+import org.apache.spark.network.ConnectionManager
+import org.apache.spark.serializer.{Serializer, SerializerManager}
+import org.apache.spark.util.{Utils, AkkaUtils}
+import org.apache.spark.api.python.PythonWorkerFactory
 
 
 /**
@@ -156,10 +155,10 @@ object SparkEnv extends Logging {
     val serializerManager = new SerializerManager
 
     val serializer = serializerManager.setDefault(
-      System.getProperty("spark.serializer", "spark.JavaSerializer"))
+      System.getProperty("spark.serializer", "org.apache.spark.serializer.JavaSerializer"))
 
     val closureSerializer = serializerManager.get(
-      System.getProperty("spark.closure.serializer", "spark.JavaSerializer"))
+      System.getProperty("spark.closure.serializer", "org.apache.spark.serializer.JavaSerializer"))
 
     def registerOrLookup(name: String, newActor: => Actor): ActorRef = {
       if (isDriver) {
@@ -177,7 +176,7 @@ object SparkEnv extends Logging {
 
     val blockManagerMaster = new BlockManagerMaster(registerOrLookup(
       "BlockManagerMaster",
-      new spark.storage.BlockManagerMasterActor(isLocal)))
+      new BlockManagerMasterActor(isLocal)))
     val blockManager = new BlockManager(executorId, actorSystem, blockManagerMaster, serializer)
 
     val connectionManager = blockManager.connectionManager
@@ -194,7 +193,7 @@ object SparkEnv extends Logging {
       new MapOutputTrackerActor(mapOutputTracker))
 
     val shuffleFetcher = instantiateClass[ShuffleFetcher](
-      "spark.shuffle.fetcher", "spark.BlockStoreShuffleFetcher")
+      "spark.shuffle.fetcher", "org.apache.spark.BlockStoreShuffleFetcher")
 
     val httpFileServer = new HttpFileServer()
     httpFileServer.initialize()
diff --git a/core/src/main/scala/spark/SparkException.scala b/core/src/main/scala/org/apache/spark/SparkException.scala
index b7045eea63..d34e47e8ca 100644
--- a/core/src/main/scala/spark/SparkException.scala
+++ b/core/src/main/scala/org/apache/spark/SparkException.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 class SparkException(message: String, cause: Throwable)
   extends Exception(message, cause) {
diff --git a/core/src/main/scala/spark/SparkFiles.java b/core/src/main/scala/org/apache/spark/SparkFiles.java
index f9b3f7965e..af9cf85e37 100644
--- a/core/src/main/scala/spark/SparkFiles.java
+++ b/core/src/main/scala/org/apache/spark/SparkFiles.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark;
+package org.apache.spark;
 
 import java.io.File;
 
diff --git a/core/src/main/scala/spark/SparkHadoopWriter.scala b/core/src/main/scala/org/apache/spark/SparkHadoopWriter.scala
index 6b330ef572..2bab9d6e3d 100644
--- a/core/src/main/scala/spark/SparkHadoopWriter.scala
+++ b/core/src/main/scala/org/apache/spark/SparkHadoopWriter.scala
@@ -25,8 +25,8 @@ import java.text.NumberFormat
 import java.io.IOException
 import java.util.Date
 
-import spark.Logging
-import spark.SerializableWritable
+import org.apache.spark.Logging
+import org.apache.spark.SerializableWritable
 
 /**
  * Internal helper class that saves an RDD using a Hadoop OutputFormat. This is only public
diff --git a/core/src/main/scala/spark/TaskContext.scala b/core/src/main/scala/org/apache/spark/TaskContext.scala
index b79f4ca813..b2dd668330 100644
--- a/core/src/main/scala/spark/TaskContext.scala
+++ b/core/src/main/scala/org/apache/spark/TaskContext.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import executor.TaskMetrics
 import scala.collection.mutable.ArrayBuffer
diff --git a/core/src/main/scala/spark/TaskEndReason.scala b/core/src/main/scala/org/apache/spark/TaskEndReason.scala
index 3ad665da34..03bf268863 100644
--- a/core/src/main/scala/spark/TaskEndReason.scala
+++ b/core/src/main/scala/org/apache/spark/TaskEndReason.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
-import spark.executor.TaskMetrics
-import spark.storage.BlockManagerId
+import org.apache.spark.executor.TaskMetrics
+import org.apache.spark.storage.BlockManagerId
 
 /**
  * Various possible reasons why a task ended. The low-level TaskScheduler is supposed to retry
diff --git a/core/src/main/scala/spark/TaskState.scala b/core/src/main/scala/org/apache/spark/TaskState.scala
index bf75753056..19ce8369d9 100644
--- a/core/src/main/scala/spark/TaskState.scala
+++ b/core/src/main/scala/org/apache/spark/TaskState.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import org.apache.mesos.Protos.{TaskState => MesosTaskState}
 
diff --git a/core/src/main/scala/spark/api/java/JavaDoubleRDD.scala b/core/src/main/scala/org/apache/spark/api/java/JavaDoubleRDD.scala
index 8ce7df6213..5fd1fab580 100644
--- a/core/src/main/scala/spark/api/java/JavaDoubleRDD.scala
+++ b/core/src/main/scala/org/apache/spark/api/java/JavaDoubleRDD.scala
@@ -15,16 +15,16 @@
  * limitations under the License.
  */
 
-package spark.api.java
-
-import spark.RDD
-import spark.SparkContext.doubleRDDToDoubleRDDFunctions
-import spark.api.java.function.{Function => JFunction}
-import spark.util.StatCounter
-import spark.partial.{BoundedDouble, PartialResult}
-import spark.storage.StorageLevel
+package org.apache.spark.api.java
+
+import org.apache.spark.rdd.RDD
+import org.apache.spark.SparkContext.doubleRDDToDoubleRDDFunctions
+import org.apache.spark.api.java.function.{Function => JFunction}
+import org.apache.spark.util.StatCounter
+import org.apache.spark.partial.{BoundedDouble, PartialResult}
+import org.apache.spark.storage.StorageLevel
 import java.lang.Double
-import spark.Partitioner
+import org.apache.spark.Partitioner
 
 class JavaDoubleRDD(val srdd: RDD[scala.Double]) extends JavaRDDLike[Double, JavaDoubleRDD] {
 
@@ -119,7 +119,7 @@ class JavaDoubleRDD(val srdd: RDD[scala.Double]) extends JavaRDDLike[Double, Jav
   def sum(): Double = srdd.sum()
 
   /**
-   * Return a [[spark.util.StatCounter]] object that captures the mean, variance and count
+   * Return a [[org.apache.spark.util.StatCounter]] object that captures the mean, variance and count
    * of the RDD's elements in one operation.
    */
   def stats(): StatCounter = srdd.stats()
diff --git a/core/src/main/scala/spark/api/java/JavaPairRDD.scala b/core/src/main/scala/org/apache/spark/api/java/JavaPairRDD.scala
index effe6e5e0d..a6518abf45 100644
--- a/core/src/main/scala/spark/api/java/JavaPairRDD.scala
+++ b/core/src/main/scala/org/apache/spark/api/java/JavaPairRDD.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.api.java
+package org.apache.spark.api.java
 
 import java.util.{List => JList}
 import java.util.Comparator
@@ -30,17 +30,17 @@ import org.apache.hadoop.mapred.OutputFormat
 import org.apache.hadoop.mapreduce.{OutputFormat => NewOutputFormat}
 import org.apache.hadoop.conf.Configuration
 
-import spark.HashPartitioner
-import spark.Partitioner
-import spark.Partitioner._
-import spark.RDD
-import spark.SparkContext.rddToPairRDDFunctions
-import spark.api.java.function.{Function2 => JFunction2}
-import spark.api.java.function.{Function => JFunction}
-import spark.partial.BoundedDouble
-import spark.partial.PartialResult
-import spark.rdd.OrderedRDDFunctions
-import spark.storage.StorageLevel
+import org.apache.spark.HashPartitioner
+import org.apache.spark.Partitioner
+import org.apache.spark.Partitioner._
+import org.apache.spark.SparkContext.rddToPairRDDFunctions
+import org.apache.spark.api.java.function.{Function2 => JFunction2}
+import org.apache.spark.api.java.function.{Function => JFunction}
+import org.apache.spark.partial.BoundedDouble
+import org.apache.spark.partial.PartialResult
+import org.apache.spark.rdd.RDD
+import org.apache.spark.rdd.OrderedRDDFunctions
+import org.apache.spark.storage.StorageLevel
 
 
 class JavaPairRDD[K, V](val rdd: RDD[(K, V)])(implicit val kManifest: ClassManifest[K],
diff --git a/core/src/main/scala/spark/api/java/JavaRDD.scala b/core/src/main/scala/org/apache/spark/api/java/JavaRDD.scala
index c0bf2cf568..eec58abdd6 100644
--- a/core/src/main/scala/spark/api/java/JavaRDD.scala
+++ b/core/src/main/scala/org/apache/spark/api/java/JavaRDD.scala
@@ -15,11 +15,12 @@
  * limitations under the License.
  */
 
-package spark.api.java
+package org.apache.spark.api.java
 
-import spark._
-import spark.api.java.function.{Function => JFunction}
-import spark.storage.StorageLevel
+import org.apache.spark._
+import org.apache.spark.rdd.RDD
+import org.apache.spark.api.java.function.{Function => JFunction}
+import org.apache.spark.storage.StorageLevel
 
 class JavaRDD[T](val rdd: RDD[T])(implicit val classManifest: ClassManifest[T]) extends
 JavaRDDLike[T, JavaRDD[T]] {
diff --git a/core/src/main/scala/spark/api/java/JavaRDDLike.scala b/core/src/main/scala/org/apache/spark/api/java/JavaRDDLike.scala
index 2c2b138f16..7e6e691f11 100644
--- a/core/src/main/scala/spark/api/java/JavaRDDLike.scala
+++ b/core/src/main/scala/org/apache/spark/api/java/JavaRDDLike.scala
@@ -15,19 +15,21 @@
  * limitations under the License.
  */
 
-package spark.api.java
+package org.apache.spark.api.java
 
 import java.util.{List => JList, Comparator}
 import scala.Tuple2
 import scala.collection.JavaConversions._
 
-import org.apache.hadoop.io.compress.CompressionCodec
-import spark.{SparkContext, Partition, RDD, TaskContext}
-import spark.api.java.JavaPairRDD._
-import spark.api.java.function.{Function2 => JFunction2, Function => JFunction, _}
-import spark.partial.{PartialResult, BoundedDouble}
-import spark.storage.StorageLevel
 import com.google.common.base.Optional
+import org.apache.hadoop.io.compress.CompressionCodec
+
+import org.apache.spark.{SparkContext, Partition, TaskContext}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.api.java.JavaPairRDD._
+import org.apache.spark.api.java.function.{Function2 => JFunction2, Function => JFunction, _}
+import org.apache.spark.partial.{PartialResult, BoundedDouble}
+import org.apache.spark.storage.StorageLevel
 
 
 trait JavaRDDLike[T, This <: JavaRDDLike[T, This]] extends Serializable {
@@ -40,7 +42,7 @@ trait JavaRDDLike[T, This <: JavaRDDLike[T, This]] extends Serializable {
   /** Set of partitions in this RDD. */
   def splits: JList[Partition] = new java.util.ArrayList(rdd.partitions.toSeq)
 
-  /** The [[spark.SparkContext]] that this RDD was created on. */
+  /** The [[org.apache.spark.SparkContext]] that this RDD was created on. */
   def context: SparkContext = rdd.context
 
   /** A unique ID for this RDD (within its SparkContext). */
diff --git a/core/src/main/scala/spark/api/java/JavaSparkContext.scala b/core/src/main/scala/org/apache/spark/api/java/JavaSparkContext.scala
index 29d57004b5..8869e072bf 100644
--- a/core/src/main/scala/spark/api/java/JavaSparkContext.scala
+++ b/core/src/main/scala/org/apache/spark/api/java/JavaSparkContext.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.api.java
+package org.apache.spark.api.java
 
 import java.util.{Map => JMap}
 
@@ -26,16 +26,16 @@ import org.apache.hadoop.conf.Configuration
 import org.apache.hadoop.mapred.InputFormat
 import org.apache.hadoop.mapred.JobConf
 import org.apache.hadoop.mapreduce.{InputFormat => NewInputFormat}
-
-import spark.{Accumulable, AccumulableParam, Accumulator, AccumulatorParam, RDD, SparkContext}
-import spark.SparkContext.IntAccumulatorParam
-import spark.SparkContext.DoubleAccumulatorParam
-import spark.broadcast.Broadcast
-
 import com.google.common.base.Optional
 
+import org.apache.spark.{Accumulable, AccumulableParam, Accumulator, AccumulatorParam, SparkContext}
+import org.apache.spark.SparkContext.IntAccumulatorParam
+import org.apache.spark.SparkContext.DoubleAccumulatorParam
+import org.apache.spark.broadcast.Broadcast
+import org.apache.spark.rdd.RDD
+
 /**
- * A Java-friendly version of [[spark.SparkContext]] that returns [[spark.api.java.JavaRDD]]s and
+ * A Java-friendly version of [[org.apache.spark.SparkContext]] that returns [[org.apache.spark.api.java.JavaRDD]]s and
  * works with Java collections instead of Scala ones.
  */
 class JavaSparkContext(val sc: SparkContext) extends JavaSparkContextVarargsWorkaround {
@@ -283,48 +283,48 @@ class JavaSparkContext(val sc: SparkContext) extends JavaSparkContextVarargsWork
   }
 
   /**
-   * Create an [[spark.Accumulator]] integer variable, which tasks can "add" values
+   * Create an [[org.apache.spark.Accumulator]] integer variable, which tasks can "add" values
    * to using the `add` method. Only the master can access the accumulator's `value`.
    */
   def intAccumulator(initialValue: Int): Accumulator[java.lang.Integer] =
     sc.accumulator(initialValue)(IntAccumulatorParam).asInstanceOf[Accumulator[java.lang.Integer]]
 
   /**
-   * Create an [[spark.Accumulator]] double variable, which tasks can "add" values
+   * Create an [[org.apache.spark.Accumulator]] double variable, which tasks can "add" values
    * to using the `add` method. Only the master can access the accumulator's `value`.
    */
   def doubleAccumulator(initialValue: Double): Accumulator[java.lang.Double] =
     sc.accumulator(initialValue)(DoubleAccumulatorParam).asInstanceOf[Accumulator[java.lang.Double]]
 
   /**
-   * Create an [[spark.Accumulator]] integer variable, which tasks can "add" values
+   * Create an [[org.apache.spark.Accumulator]] integer variable, which tasks can "add" values
    * to using the `add` method. Only the master can access the accumulator's `value`.
    */
   def accumulator(initialValue: Int): Accumulator[java.lang.Integer] = intAccumulator(initialValue)
 
   /**
-   * Create an [[spark.Accumulator]] double variable, which tasks can "add" values
+   * Create an [[org.apache.spark.Accumulator]] double variable, which tasks can "add" values
    * to using the `add` method. Only the master can access the accumulator's `value`.
    */
   def accumulator(initialValue: Double): Accumulator[java.lang.Double] =
     doubleAccumulator(initialValue)
 
   /**
-   * Create an [[spark.Accumulator]] variable of a given type, which tasks can "add" values
+   * Create an [[org.apache.spark.Accumulator]] variable of a given type, which tasks can "add" values
    * to using the `add` method. Only the master can access the accumulator's `value`.
    */
   def accumulator[T](initialValue: T, accumulatorParam: AccumulatorParam[T]): Accumulator[T] =
     sc.accumulator(initialValue)(accumulatorParam)
 
   /**
-   * Create an [[spark.Accumulable]] shared variable of the given type, to which tasks can
+   * Create an [[org.apache.spark.Accumulable]] shared variable of the given type, to which tasks can
    * "add" values with `add`. Only the master can access the accumuable's `value`.
    */
   def accumulable[T, R](initialValue: T, param: AccumulableParam[T, R]): Accumulable[T, R] =
     sc.accumulable(initialValue)(param)
 
   /**
-   * Broadcast a read-only variable to the cluster, returning a [[spark.Broadcast]] object for
+   * Broadcast a read-only variable to the cluster, returning a [[org.apache.spark.Broadcast]] object for
    * reading it in distributed functions. The variable will be sent to each cluster only once.
    */
   def broadcast[T](value: T): Broadcast[T] = sc.broadcast(value)
diff --git a/core/src/main/scala/spark/api/java/JavaSparkContextVarargsWorkaround.java b/core/src/main/scala/org/apache/spark/api/java/JavaSparkContextVarargsWorkaround.java
index 42b1de01b1..c9cbce5624 100644
--- a/core/src/main/scala/spark/api/java/JavaSparkContextVarargsWorkaround.java
+++ b/core/src/main/scala/org/apache/spark/api/java/JavaSparkContextVarargsWorkaround.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.api.java;
+package org.apache.spark.api.java;
 
 import java.util.Arrays;
 import java.util.ArrayList;
diff --git a/core/src/main/scala/spark/api/java/JavaUtils.scala b/core/src/main/scala/org/apache/spark/api/java/JavaUtils.scala
index ffc131ac83..ecbf18849a 100644
--- a/core/src/main/scala/spark/api/java/JavaUtils.scala
+++ b/core/src/main/scala/org/apache/spark/api/java/JavaUtils.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.api.java
+package org.apache.spark.api.java
 
 import com.google.common.base.Optional
 
diff --git a/core/src/main/scala/spark/api/java/StorageLevels.java b/core/src/main/scala/org/apache/spark/api/java/StorageLevels.java
index f385636e83..0744269773 100644
--- a/core/src/main/scala/spark/api/java/StorageLevels.java
+++ b/core/src/main/scala/org/apache/spark/api/java/StorageLevels.java
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.api.java;
+package org.apache.spark.api.java;
 
-import spark.storage.StorageLevel;
+import org.apache.spark.storage.StorageLevel;
 
 /**
  * Expose some commonly useful storage level constants.
diff --git a/core/src/main/scala/spark/api/java/function/DoubleFlatMapFunction.java b/core/src/main/scala/org/apache/spark/api/java/function/DoubleFlatMapFunction.java
index 8bc88d757f..4830067f7a 100644
--- a/core/src/main/scala/spark/api/java/function/DoubleFlatMapFunction.java
+++ b/core/src/main/scala/org/apache/spark/api/java/function/DoubleFlatMapFunction.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.api.java.function;
+package org.apache.spark.api.java.function;
 
 
 import scala.runtime.AbstractFunction1;
diff --git a/core/src/main/scala/spark/api/java/function/DoubleFunction.java b/core/src/main/scala/org/apache/spark/api/java/function/DoubleFunction.java
index 1aa1e5dae0..db34cd190a 100644
--- a/core/src/main/scala/spark/api/java/function/DoubleFunction.java
+++ b/core/src/main/scala/org/apache/spark/api/java/function/DoubleFunction.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.api.java.function;
+package org.apache.spark.api.java.function;
 
 
 import scala.runtime.AbstractFunction1;
diff --git a/core/src/main/scala/spark/api/java/function/FlatMapFunction.scala b/core/src/main/scala/org/apache/spark/api/java/function/FlatMapFunction.scala
index 9eb0cfe3f9..158539a846 100644
--- a/core/src/main/scala/spark/api/java/function/FlatMapFunction.scala
+++ b/core/src/main/scala/org/apache/spark/api/java/function/FlatMapFunction.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.api.java.function
+package org.apache.spark.api.java.function
 
 /**
  * A function that returns zero or more output records from each input record.
diff --git a/core/src/main/scala/spark/api/java/function/FlatMapFunction2.scala b/core/src/main/scala/org/apache/spark/api/java/function/FlatMapFunction2.scala
index dda98710c2..5ef6a814f5 100644
--- a/core/src/main/scala/spark/api/java/function/FlatMapFunction2.scala
+++ b/core/src/main/scala/org/apache/spark/api/java/function/FlatMapFunction2.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.api.java.function
+package org.apache.spark.api.java.function
 
 /**
  * A function that takes two inputs and returns zero or more output records.
diff --git a/core/src/main/scala/spark/api/java/function/Function.java b/core/src/main/scala/org/apache/spark/api/java/function/Function.java
index 2a2ea0aacf..b9070cfd83 100644
--- a/core/src/main/scala/spark/api/java/function/Function.java
+++ b/core/src/main/scala/org/apache/spark/api/java/function/Function.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.api.java.function;
+package org.apache.spark.api.java.function;
 
 import scala.reflect.ClassManifest;
 import scala.reflect.ClassManifest$;
diff --git a/core/src/main/scala/spark/api/java/function/Function2.java b/core/src/main/scala/org/apache/spark/api/java/function/Function2.java
index 952d31ece4..d4c9154869 100644
--- a/core/src/main/scala/spark/api/java/function/Function2.java
+++ b/core/src/main/scala/org/apache/spark/api/java/function/Function2.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.api.java.function;
+package org.apache.spark.api.java.function;
 
 import scala.reflect.ClassManifest;
 import scala.reflect.ClassManifest$;
diff --git a/core/src/main/scala/spark/api/java/function/PairFlatMapFunction.java b/core/src/main/scala/org/apache/spark/api/java/function/PairFlatMapFunction.java
index 4aad602da3..c0e5544b7d 100644
--- a/core/src/main/scala/spark/api/java/function/PairFlatMapFunction.java
+++ b/core/src/main/scala/org/apache/spark/api/java/function/PairFlatMapFunction.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.api.java.function;
+package org.apache.spark.api.java.function;
 
 import scala.Tuple2;
 import scala.reflect.ClassManifest;
diff --git a/core/src/main/scala/spark/api/java/function/PairFunction.java b/core/src/main/scala/org/apache/spark/api/java/function/PairFunction.java
index ccfe64ecf1..40480fe8e8 100644
--- a/core/src/main/scala/spark/api/java/function/PairFunction.java
+++ b/core/src/main/scala/org/apache/spark/api/java/function/PairFunction.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.api.java.function;
+package org.apache.spark.api.java.function;
 
 import scala.Tuple2;
 import scala.reflect.ClassManifest;
diff --git a/core/src/main/scala/spark/api/java/function/VoidFunction.scala b/core/src/main/scala/org/apache/spark/api/java/function/VoidFunction.scala
index f6fc0b0f7d..ea94313a4a 100644
--- a/core/src/main/scala/spark/api/java/function/VoidFunction.scala
+++ b/core/src/main/scala/org/apache/spark/api/java/function/VoidFunction.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.api.java.function
+package org.apache.spark.api.java.function
 
 /**
  * A function with no return value.
diff --git a/core/src/main/scala/spark/api/java/function/WrappedFunction1.scala b/core/src/main/scala/org/apache/spark/api/java/function/WrappedFunction1.scala
index 1758a38c4e..cfe694f65d 100644
--- a/core/src/main/scala/spark/api/java/function/WrappedFunction1.scala
+++ b/core/src/main/scala/org/apache/spark/api/java/function/WrappedFunction1.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.api.java.function
+package org.apache.spark.api.java.function
 
 import scala.runtime.AbstractFunction1
 
diff --git a/core/src/main/scala/spark/api/java/function/WrappedFunction2.scala b/core/src/main/scala/org/apache/spark/api/java/function/WrappedFunction2.scala
index b093567d2c..eb9277c6fb 100644
--- a/core/src/main/scala/spark/api/java/function/WrappedFunction2.scala
+++ b/core/src/main/scala/org/apache/spark/api/java/function/WrappedFunction2.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.api.java.function
+package org.apache.spark.api.java.function
 
 import scala.runtime.AbstractFunction2
 
diff --git a/core/src/main/scala/spark/api/python/PythonPartitioner.scala b/core/src/main/scala/org/apache/spark/api/python/PythonPartitioner.scala
index ac112b8c2c..b090c6edf3 100644
--- a/core/src/main/scala/spark/api/python/PythonPartitioner.scala
+++ b/core/src/main/scala/org/apache/spark/api/python/PythonPartitioner.scala
@@ -15,14 +15,14 @@
  * limitations under the License.
  */
 
-package spark.api.python
+package org.apache.spark.api.python
 
-import spark.Partitioner
-import spark.Utils
+import org.apache.spark.Partitioner
 import java.util.Arrays
+import org.apache.spark.util.Utils
 
 /**
- * A [[spark.Partitioner]] that performs handling of byte arrays, for use by the Python API.
+ * A [[org.apache.spark.Partitioner]] that performs handling of byte arrays, for use by the Python API.
  *
  * Stores the unique id() of the Python-side partitioning function so that it is incorporated into
  * equality comparisons.  Correctness requires that the id is a unique identifier for the
diff --git a/core/src/main/scala/spark/api/python/PythonRDD.scala b/core/src/main/scala/org/apache/spark/api/python/PythonRDD.scala
index 49671437d0..ccd3833964 100644
--- a/core/src/main/scala/spark/api/python/PythonRDD.scala
+++ b/core/src/main/scala/org/apache/spark/api/python/PythonRDD.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.api.python
+package org.apache.spark.api.python
 
 import java.io._
 import java.net._
@@ -23,10 +23,12 @@ import java.util.{List => JList, ArrayList => JArrayList, Map => JMap, Collectio
 
 import scala.collection.JavaConversions._
 
-import spark.api.java.{JavaSparkContext, JavaPairRDD, JavaRDD}
-import spark.broadcast.Broadcast
-import spark._
-import spark.rdd.PipedRDD
+import org.apache.spark.api.java.{JavaSparkContext, JavaPairRDD, JavaRDD}
+import org.apache.spark.broadcast.Broadcast
+import org.apache.spark._
+import org.apache.spark.rdd.RDD
+import org.apache.spark.rdd.PipedRDD
+import org.apache.spark.util.Utils
 
 
 private[spark] class PythonRDD[T: ClassManifest](
@@ -298,7 +300,7 @@ private object Pickle {
   val APPENDS: Byte = 'e'
 }
 
-private class BytesToString extends spark.api.java.function.Function[Array[Byte], String] {
+private class BytesToString extends org.apache.spark.api.java.function.Function[Array[Byte], String] {
   override def call(arr: Array[Byte]) : String = new String(arr, "UTF-8")
 }
 
diff --git a/core/src/main/scala/org/apache/spark/api/python/PythonWorkerFactory.scala b/core/src/main/scala/org/apache/spark/api/python/PythonWorkerFactory.scala
new file mode 100644
index 0000000000..67d45723ba
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/api/python/PythonWorkerFactory.scala
@@ -0,0 +1,223 @@
+/*
+ * 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.
+ */
+
+package org.apache.spark.api.python
+
+import java.io.{OutputStreamWriter, File, DataInputStream, IOException}
+import java.net.{ServerSocket, Socket, SocketException, InetAddress}
+
+import scala.collection.JavaConversions._
+
+import org.apache.spark._
+
+private[spark] class PythonWorkerFactory(pythonExec: String, envVars: Map[String, String])
+    extends Logging {
+
+  // Because forking processes from Java is expensive, we prefer to launch a single Python daemon
+  // (pyspark/daemon.py) and tell it to fork new workers for our tasks. This daemon currently
+  // only works on UNIX-based systems now because it uses signals for child management, so we can
+  // also fall back to launching workers (pyspark/worker.py) directly.
+  val useDaemon = !System.getProperty("os.name").startsWith("Windows")
+
+  var daemon: Process = null
+  val daemonHost = InetAddress.getByAddress(Array(127, 0, 0, 1))
+  var daemonPort: Int = 0
+
+  def create(): Socket = {
+    if (useDaemon) {
+      createThroughDaemon()
+    } else {
+      createSimpleWorker()
+    }
+  }
+
+  /**
+   * Connect to a worker launched through pyspark/daemon.py, which forks python processes itself
+   * to avoid the high cost of forking from Java. This currently only works on UNIX-based systems.
+   */
+  private def createThroughDaemon(): Socket = {
+    synchronized {
+      // Start the daemon if it hasn't been started
+      startDaemon()
+
+      // Attempt to connect, restart and retry once if it fails
+      try {
+        new Socket(daemonHost, daemonPort)
+      } catch {
+        case exc: SocketException => {
+          logWarning("Python daemon unexpectedly quit, attempting to restart")
+          stopDaemon()
+          startDaemon()
+          new Socket(daemonHost, daemonPort)
+        }
+        case e => throw e
+      }
+    }
+  }
+
+  /**
+   * Launch a worker by executing worker.py directly and telling it to connect to us.
+   */
+  private def createSimpleWorker(): Socket = {
+    var serverSocket: ServerSocket = null
+    try {
+      serverSocket = new ServerSocket(0, 1, InetAddress.getByAddress(Array(127, 0, 0, 1)))
+
+      // Create and start the worker
+      val sparkHome = new ProcessBuilder().environment().get("SPARK_HOME")
+      val pb = new ProcessBuilder(Seq(pythonExec, sparkHome + "/python/pyspark/worker.py"))
+      val workerEnv = pb.environment()
+      workerEnv.putAll(envVars)
+      val pythonPath = sparkHome + "/python/" + File.pathSeparator + workerEnv.get("PYTHONPATH")
+      workerEnv.put("PYTHONPATH", pythonPath)
+      val worker = pb.start()
+
+      // Redirect the worker's stderr to ours
+      new Thread("stderr reader for " + pythonExec) {
+        setDaemon(true)
+        override def run() {
+          scala.util.control.Exception.ignoring(classOf[IOException]) {
+            // FIXME: We copy the stream on the level of bytes to avoid encoding problems.
+            val in = worker.getErrorStream
+            val buf = new Array[Byte](1024)
+            var len = in.read(buf)
+            while (len != -1) {
+              System.err.write(buf, 0, len)
+              len = in.read(buf)
+            }
+          }
+        }
+      }.start()
+
+      // Redirect worker's stdout to our stderr
+      new Thread("stdout reader for " + pythonExec) {
+        setDaemon(true)
+        override def run() {
+          scala.util.control.Exception.ignoring(classOf[IOException]) {
+            // FIXME: We copy the stream on the level of bytes to avoid encoding problems.
+            val in = worker.getInputStream
+            val buf = new Array[Byte](1024)
+            var len = in.read(buf)
+            while (len != -1) {
+              System.err.write(buf, 0, len)
+              len = in.read(buf)
+            }
+          }
+        }
+      }.start()
+
+      // Tell the worker our port
+      val out = new OutputStreamWriter(worker.getOutputStream)
+      out.write(serverSocket.getLocalPort + "\n")
+      out.flush()
+
+      // Wait for it to connect to our socket
+      serverSocket.setSoTimeout(10000)
+      try {
+        return serverSocket.accept()
+      } catch {
+        case e: Exception =>
+          throw new SparkException("Python worker did not connect back in time", e)
+      }
+    } finally {
+      if (serverSocket != null) {
+        serverSocket.close()
+      }
+    }
+    null
+  }
+
+  def stop() {
+    stopDaemon()
+  }
+
+  private def startDaemon() {
+    synchronized {
+      // Is it already running?
+      if (daemon != null) {
+        return
+      }
+
+      try {
+        // Create and start the daemon
+        val sparkHome = new ProcessBuilder().environment().get("SPARK_HOME")
+        val pb = new ProcessBuilder(Seq(pythonExec, sparkHome + "/python/pyspark/daemon.py"))
+        val workerEnv = pb.environment()
+        workerEnv.putAll(envVars)
+        val pythonPath = sparkHome + "/python/" + File.pathSeparator + workerEnv.get("PYTHONPATH")
+        workerEnv.put("PYTHONPATH", pythonPath)
+        daemon = pb.start()
+
+        // Redirect the stderr to ours
+        new Thread("stderr reader for " + pythonExec) {
+          setDaemon(true)
+          override def run() {
+            scala.util.control.Exception.ignoring(classOf[IOException]) {
+              // FIXME: We copy the stream on the level of bytes to avoid encoding problems.
+              val in = daemon.getErrorStream
+              val buf = new Array[Byte](1024)
+              var len = in.read(buf)
+              while (len != -1) {
+                System.err.write(buf, 0, len)
+                len = in.read(buf)
+              }
+            }
+          }
+        }.start()
+
+        val in = new DataInputStream(daemon.getInputStream)
+        daemonPort = in.readInt()
+
+        // Redirect further stdout output to our stderr
+        new Thread("stdout reader for " + pythonExec) {
+          setDaemon(true)
+          override def run() {
+            scala.util.control.Exception.ignoring(classOf[IOException]) {
+              // FIXME: We copy the stream on the level of bytes to avoid encoding problems.
+              val buf = new Array[Byte](1024)
+              var len = in.read(buf)
+              while (len != -1) {
+                System.err.write(buf, 0, len)
+                len = in.read(buf)
+              }
+            }
+          }
+        }.start()
+      } catch {
+        case e => {
+          stopDaemon()
+          throw e
+        }
+      }
+
+      // Important: don't close daemon's stdin (daemon.getOutputStream) so it can correctly
+      // detect our disappearance.
+    }
+  }
+
+  private def stopDaemon() {
+    synchronized {
+      // Request shutdown of existing daemon by sending SIGTERM
+      if (daemon != null) {
+        daemon.destroy()
+      }
+
+      daemon = null
+      daemonPort = 0
+    }
+  }
+}
diff --git a/core/src/main/scala/spark/broadcast/BitTorrentBroadcast.scala b/core/src/main/scala/org/apache/spark/broadcast/BitTorrentBroadcast.scala
index 6f7d385379..93e7815ab5 100644
--- a/core/src/main/scala/spark/broadcast/BitTorrentBroadcast.scala
+++ b/core/src/main/scala/org/apache/spark/broadcast/BitTorrentBroadcast.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.broadcast
+package org.apache.spark.broadcast
 
 import java.io._
 import java.net._
@@ -25,8 +25,9 @@ import java.util.concurrent.atomic.AtomicInteger
 import scala.collection.mutable.{ListBuffer, Map, Set}
 import scala.math
 
-import spark._
-import spark.storage.StorageLevel
+import org.apache.spark._
+import org.apache.spark.storage.StorageLevel
+import org.apache.spark.util.Utils
 
 private[spark] class BitTorrentBroadcast[T](@transient var value_ : T, isLocal: Boolean, id: Long)
   extends Broadcast[T](id)
diff --git a/core/src/main/scala/spark/broadcast/Broadcast.scala b/core/src/main/scala/org/apache/spark/broadcast/Broadcast.scala
index aba56a60ca..43c18294c5 100644
--- a/core/src/main/scala/spark/broadcast/Broadcast.scala
+++ b/core/src/main/scala/org/apache/spark/broadcast/Broadcast.scala
@@ -15,12 +15,12 @@
  * limitations under the License.
  */
 
-package spark.broadcast
+package org.apache.spark.broadcast
 
 import java.io._
 import java.util.concurrent.atomic.AtomicLong
 
-import spark._
+import org.apache.spark._
 
 abstract class Broadcast[T](private[spark] val id: Long) extends Serializable {
   def value: T
@@ -28,7 +28,7 @@ abstract class Broadcast[T](private[spark] val id: Long) extends Serializable {
   // We cannot have an abstract readObject here due to some weird issues with
   // readObject having to be 'private' in sub-classes.
 
-  override def toString = "spark.Broadcast(" + id + ")"
+  override def toString = "Broadcast(" + id + ")"
 }
 
 private[spark] 
@@ -44,7 +44,7 @@ class BroadcastManager(val _isDriver: Boolean) extends Logging with Serializable
     synchronized {
       if (!initialized) {
         val broadcastFactoryClass = System.getProperty(
-          "spark.broadcast.factory", "spark.broadcast.HttpBroadcastFactory")
+          "spark.broadcast.factory", "org.apache.spark.broadcast.HttpBroadcastFactory")
 
         broadcastFactory =
           Class.forName(broadcastFactoryClass).newInstance.asInstanceOf[BroadcastFactory]
diff --git a/core/src/main/scala/spark/broadcast/BroadcastFactory.scala b/core/src/main/scala/org/apache/spark/broadcast/BroadcastFactory.scala
index d33d95c7d9..68bff75b90 100644
--- a/core/src/main/scala/spark/broadcast/BroadcastFactory.scala
+++ b/core/src/main/scala/org/apache/spark/broadcast/BroadcastFactory.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.broadcast
+package org.apache.spark.broadcast
 
 /**
  * An interface for all the broadcast implementations in Spark (to allow 
diff --git a/core/src/main/scala/spark/broadcast/HttpBroadcast.scala b/core/src/main/scala/org/apache/spark/broadcast/HttpBroadcast.scala
index 138a8c21bc..9db26ae6de 100644
--- a/core/src/main/scala/spark/broadcast/HttpBroadcast.scala
+++ b/core/src/main/scala/org/apache/spark/broadcast/HttpBroadcast.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.broadcast
+package org.apache.spark.broadcast
 
 import java.io.{File, FileOutputStream, ObjectInputStream, OutputStream}
 import java.net.URL
@@ -23,10 +23,10 @@ import java.net.URL
 import it.unimi.dsi.fastutil.io.FastBufferedInputStream
 import it.unimi.dsi.fastutil.io.FastBufferedOutputStream
 
-import spark.{HttpServer, Logging, SparkEnv, Utils}
-import spark.io.CompressionCodec
-import spark.storage.StorageLevel
-import spark.util.{MetadataCleaner, TimeStampedHashSet}
+import org.apache.spark.{HttpServer, Logging, SparkEnv}
+import org.apache.spark.io.CompressionCodec
+import org.apache.spark.storage.StorageLevel
+import org.apache.spark.util.{Utils, MetadataCleaner, TimeStampedHashSet}
 
 
 private[spark] class HttpBroadcast[T](@transient var value_ : T, isLocal: Boolean, id: Long)
diff --git a/core/src/main/scala/spark/broadcast/MultiTracker.scala b/core/src/main/scala/org/apache/spark/broadcast/MultiTracker.scala
index 7855d44e9b..21ec94659e 100644
--- a/core/src/main/scala/spark/broadcast/MultiTracker.scala
+++ b/core/src/main/scala/org/apache/spark/broadcast/MultiTracker.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.broadcast
+package org.apache.spark.broadcast
 
 import java.io._
 import java.net._
@@ -23,7 +23,8 @@ import java.util.Random
 
 import scala.collection.mutable.Map
 
-import spark._
+import org.apache.spark._
+import org.apache.spark.util.Utils
 
 private object MultiTracker
 extends Logging {
diff --git a/core/src/main/scala/spark/broadcast/SourceInfo.scala b/core/src/main/scala/org/apache/spark/broadcast/SourceInfo.scala
index b17ae63b5c..baa1fd6da4 100644
--- a/core/src/main/scala/spark/broadcast/SourceInfo.scala
+++ b/core/src/main/scala/org/apache/spark/broadcast/SourceInfo.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.broadcast
+package org.apache.spark.broadcast
 
 import java.util.BitSet
 
-import spark._
+import org.apache.spark._
 
 /**
  * Used to keep and pass around information of peers involved in a broadcast
diff --git a/core/src/main/scala/spark/broadcast/TreeBroadcast.scala b/core/src/main/scala/org/apache/spark/broadcast/TreeBroadcast.scala
index ea1e9a12c1..80c97ca073 100644
--- a/core/src/main/scala/spark/broadcast/TreeBroadcast.scala
+++ b/core/src/main/scala/org/apache/spark/broadcast/TreeBroadcast.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.broadcast
+package org.apache.spark.broadcast
 
 import java.io._
 import java.net._
@@ -24,8 +24,9 @@ import java.util.{Comparator, Random, UUID}
 import scala.collection.mutable.{ListBuffer, Map, Set}
 import scala.math
 
-import spark._
-import spark.storage.StorageLevel
+import org.apache.spark._
+import org.apache.spark.storage.StorageLevel
+import org.apache.spark.util.Utils
 
 private[spark] class TreeBroadcast[T](@transient var value_ : T, isLocal: Boolean, id: Long)
 extends Broadcast[T](id) with Logging with Serializable {
diff --git a/core/src/main/scala/spark/deploy/ApplicationDescription.scala b/core/src/main/scala/org/apache/spark/deploy/ApplicationDescription.scala
index a8b22fbef8..19d393a0db 100644
--- a/core/src/main/scala/spark/deploy/ApplicationDescription.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/ApplicationDescription.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.deploy
+package org.apache.spark.deploy
 
 private[spark] class ApplicationDescription(
     val name: String,
diff --git a/core/src/main/scala/spark/deploy/Command.scala b/core/src/main/scala/org/apache/spark/deploy/Command.scala
index bad629e965..fa8af9a646 100644
--- a/core/src/main/scala/spark/deploy/Command.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/Command.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.deploy
+package org.apache.spark.deploy
 
 import scala.collection.Map
 
diff --git a/core/src/main/scala/spark/deploy/DeployMessage.scala b/core/src/main/scala/org/apache/spark/deploy/DeployMessage.scala
index 0db13ffc98..c31619db27 100644
--- a/core/src/main/scala/spark/deploy/DeployMessage.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/DeployMessage.scala
@@ -15,14 +15,14 @@
  * limitations under the License.
  */
 
-package spark.deploy
+package org.apache.spark.deploy
 
 import scala.collection.immutable.List
 
-import spark.Utils
-import spark.deploy.ExecutorState.ExecutorState
-import spark.deploy.master.{WorkerInfo, ApplicationInfo}
-import spark.deploy.worker.ExecutorRunner
+import org.apache.spark.deploy.ExecutorState.ExecutorState
+import org.apache.spark.deploy.master.{WorkerInfo, ApplicationInfo}
+import org.apache.spark.deploy.worker.ExecutorRunner
+import org.apache.spark.util.Utils
 
 
 private[deploy] sealed trait DeployMessage extends Serializable
diff --git a/core/src/main/scala/spark/deploy/ExecutorState.scala b/core/src/main/scala/org/apache/spark/deploy/ExecutorState.scala
index 08c9a3b725..fcfea96ad6 100644
--- a/core/src/main/scala/spark/deploy/ExecutorState.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/ExecutorState.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.deploy
+package org.apache.spark.deploy
 
 private[spark] object ExecutorState
   extends Enumeration("LAUNCHING", "LOADING", "RUNNING", "KILLED", "FAILED", "LOST") {
diff --git a/core/src/main/scala/spark/deploy/JsonProtocol.scala b/core/src/main/scala/org/apache/spark/deploy/JsonProtocol.scala
index f8dcf025b4..a6be8efef1 100644
--- a/core/src/main/scala/spark/deploy/JsonProtocol.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/JsonProtocol.scala
@@ -15,13 +15,13 @@
  * limitations under the License.
  */
 
-package spark.deploy
+package org.apache.spark.deploy
 
 import net.liftweb.json.JsonDSL._
 
-import spark.deploy.DeployMessages.{MasterStateResponse, WorkerStateResponse}
-import spark.deploy.master.{ApplicationInfo, WorkerInfo}
-import spark.deploy.worker.ExecutorRunner
+import org.apache.spark.deploy.DeployMessages.{MasterStateResponse, WorkerStateResponse}
+import org.apache.spark.deploy.master.{ApplicationInfo, WorkerInfo}
+import org.apache.spark.deploy.worker.ExecutorRunner
 
 
 private[spark] object JsonProtocol {
diff --git a/core/src/main/scala/spark/deploy/LocalSparkCluster.scala b/core/src/main/scala/org/apache/spark/deploy/LocalSparkCluster.scala
index 6b8e9f27af..78e3747ad8 100644
--- a/core/src/main/scala/spark/deploy/LocalSparkCluster.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/LocalSparkCluster.scala
@@ -15,14 +15,14 @@
  * limitations under the License.
  */
 
-package spark.deploy
+package org.apache.spark.deploy
 
 import akka.actor.{ActorRef, Props, Actor, ActorSystem, Terminated}
 
-import spark.deploy.worker.Worker
-import spark.deploy.master.Master
-import spark.util.AkkaUtils
-import spark.{Logging, Utils}
+import org.apache.spark.deploy.worker.Worker
+import org.apache.spark.deploy.master.Master
+import org.apache.spark.util.{Utils, AkkaUtils}
+import org.apache.spark.{Logging}
 
 import scala.collection.mutable.ArrayBuffer
 
diff --git a/core/src/main/scala/spark/deploy/SparkHadoopUtil.scala b/core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala
index 882161e669..0a5f4c368f 100644
--- a/core/src/main/scala/spark/deploy/SparkHadoopUtil.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.deploy
+package org.apache.spark.deploy
 import org.apache.hadoop.conf.Configuration
 import org.apache.hadoop.mapred.JobConf
 
diff --git a/core/src/main/scala/spark/deploy/WebUI.scala b/core/src/main/scala/org/apache/spark/deploy/WebUI.scala
index 8ea7792ef4..ae258b58b9 100644
--- a/core/src/main/scala/spark/deploy/WebUI.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/WebUI.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.deploy
+package org.apache.spark.deploy
 
 import java.text.SimpleDateFormat
 import java.util.Date
diff --git a/core/src/main/scala/spark/deploy/client/Client.scala b/core/src/main/scala/org/apache/spark/deploy/client/Client.scala
index 9d5ba8a796..a342dd724a 100644
--- a/core/src/main/scala/spark/deploy/client/Client.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/client/Client.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.deploy.client
+package org.apache.spark.deploy.client
 
 import java.util.concurrent.TimeoutException
 
@@ -28,10 +28,10 @@ import akka.remote.RemoteClientLifeCycleEvent
 import akka.remote.RemoteClientShutdown
 import akka.dispatch.Await
 
-import spark.Logging
-import spark.deploy.{ApplicationDescription, ExecutorState}
-import spark.deploy.DeployMessages._
-import spark.deploy.master.Master
+import org.apache.spark.Logging
+import org.apache.spark.deploy.{ApplicationDescription, ExecutorState}
+import org.apache.spark.deploy.DeployMessages._
+import org.apache.spark.deploy.master.Master
 
 
 /**
diff --git a/core/src/main/scala/spark/deploy/client/ClientListener.scala b/core/src/main/scala/org/apache/spark/deploy/client/ClientListener.scala
index 064024455e..4605368c11 100644
--- a/core/src/main/scala/spark/deploy/client/ClientListener.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/client/ClientListener.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.deploy.client
+package org.apache.spark.deploy.client
 
 /**
  * Callbacks invoked by deploy client when various events happen. There are currently four events:
diff --git a/core/src/main/scala/spark/deploy/client/TestClient.scala b/core/src/main/scala/org/apache/spark/deploy/client/TestClient.scala
index 4f4daa141a..d5e9a0e095 100644
--- a/core/src/main/scala/spark/deploy/client/TestClient.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/client/TestClient.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.deploy.client
+package org.apache.spark.deploy.client
 
-import spark.util.AkkaUtils
-import spark.{Logging, Utils}
-import spark.deploy.{Command, ApplicationDescription}
+import org.apache.spark.util.{Utils, AkkaUtils}
+import org.apache.spark.{Logging}
+import org.apache.spark.deploy.{Command, ApplicationDescription}
 
 private[spark] object TestClient {
 
diff --git a/core/src/main/scala/spark/deploy/client/TestExecutor.scala b/core/src/main/scala/org/apache/spark/deploy/client/TestExecutor.scala
index 8a22b6b89f..c5ac45c673 100644
--- a/core/src/main/scala/spark/deploy/client/TestExecutor.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/client/TestExecutor.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.deploy.client
+package org.apache.spark.deploy.client
 
 private[spark] object TestExecutor {
   def main(args: Array[String]) {
diff --git a/core/src/main/scala/spark/deploy/master/ApplicationInfo.scala b/core/src/main/scala/org/apache/spark/deploy/master/ApplicationInfo.scala
index 6dd2f06126..bd5327627a 100644
--- a/core/src/main/scala/spark/deploy/master/ApplicationInfo.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/ApplicationInfo.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.deploy.master
+package org.apache.spark.deploy.master
 
-import spark.deploy.ApplicationDescription
+import org.apache.spark.deploy.ApplicationDescription
 import java.util.Date
 import akka.actor.ActorRef
 import scala.collection.mutable
diff --git a/core/src/main/scala/org/apache/spark/deploy/master/ApplicationSource.scala b/core/src/main/scala/org/apache/spark/deploy/master/ApplicationSource.scala
new file mode 100644
index 0000000000..5a24042e14
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/deploy/master/ApplicationSource.scala
@@ -0,0 +1,41 @@
+/*
+ * 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.
+ */
+
+package org.apache.spark.deploy.master
+
+import com.codahale.metrics.{Gauge, MetricRegistry}
+
+import org.apache.spark.metrics.source.Source
+
+class ApplicationSource(val application: ApplicationInfo) extends Source {
+  val metricRegistry = new MetricRegistry()
+  val sourceName = "%s.%s.%s".format("application", application.desc.name,
+    System.currentTimeMillis())
+
+  metricRegistry.register(MetricRegistry.name("status"), new Gauge[String] {
+    override def getValue: String = application.state.toString
+  })
+
+  metricRegistry.register(MetricRegistry.name("runtime_ms"), new Gauge[Long] {
+    override def getValue: Long = application.duration
+  })
+
+  metricRegistry.register(MetricRegistry.name("cores", "number"), new Gauge[Int] {
+    override def getValue: Int = application.coresGranted
+  })
+
+}
diff --git a/core/src/main/scala/spark/deploy/master/ApplicationState.scala b/core/src/main/scala/org/apache/spark/deploy/master/ApplicationState.scala
index 94f0ad8bae..7e804223cf 100644
--- a/core/src/main/scala/spark/deploy/master/ApplicationState.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/ApplicationState.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.deploy.master
+package org.apache.spark.deploy.master
 
 private[spark] object ApplicationState
   extends Enumeration("WAITING", "RUNNING", "FINISHED", "FAILED") {
diff --git a/core/src/main/scala/spark/deploy/master/ExecutorInfo.scala b/core/src/main/scala/org/apache/spark/deploy/master/ExecutorInfo.scala
index 99b60f7d09..cf384a985e 100644
--- a/core/src/main/scala/spark/deploy/master/ExecutorInfo.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/ExecutorInfo.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.deploy.master
+package org.apache.spark.deploy.master
 
-import spark.deploy.ExecutorState
+import org.apache.spark.deploy.ExecutorState
 
 private[spark] class ExecutorInfo(
     val id: Int,
diff --git a/core/src/main/scala/spark/deploy/master/Master.scala b/core/src/main/scala/org/apache/spark/deploy/master/Master.scala
index 04af5e149c..7cf0a7754f 100644
--- a/core/src/main/scala/spark/deploy/master/Master.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/Master.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.deploy.master
+package org.apache.spark.deploy.master
 
 import java.text.SimpleDateFormat
 import java.util.Date
@@ -27,12 +27,12 @@ import akka.actor.Terminated
 import akka.remote.{RemoteClientLifeCycleEvent, RemoteClientDisconnected, RemoteClientShutdown}
 import akka.util.duration._
 
-import spark.{Logging, SparkException, Utils}
-import spark.deploy.{ApplicationDescription, ExecutorState}
-import spark.deploy.DeployMessages._
-import spark.deploy.master.ui.MasterWebUI
-import spark.metrics.MetricsSystem
-import spark.util.AkkaUtils
+import org.apache.spark.{Logging, SparkException}
+import org.apache.spark.deploy.{ApplicationDescription, ExecutorState}
+import org.apache.spark.deploy.DeployMessages._
+import org.apache.spark.deploy.master.ui.MasterWebUI
+import org.apache.spark.metrics.MetricsSystem
+import org.apache.spark.util.{Utils, AkkaUtils}
 
 
 private[spark] class Master(host: String, port: Int, webUiPort: Int) extends Actor with Logging {
diff --git a/core/src/main/scala/spark/deploy/master/MasterArguments.scala b/core/src/main/scala/org/apache/spark/deploy/master/MasterArguments.scala
index 0ae0160767..9d89b455fb 100644
--- a/core/src/main/scala/spark/deploy/master/MasterArguments.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/MasterArguments.scala
@@ -15,10 +15,9 @@
  * limitations under the License.
  */
 
-package spark.deploy.master
+package org.apache.spark.deploy.master
 
-import spark.util.IntParam
-import spark.Utils
+import org.apache.spark.util.{Utils, IntParam}
 
 /**
  * Command-line parser for the master.
diff --git a/core/src/main/scala/org/apache/spark/deploy/master/MasterSource.scala b/core/src/main/scala/org/apache/spark/deploy/master/MasterSource.scala
new file mode 100644
index 0000000000..23d1cb77da
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/deploy/master/MasterSource.scala
@@ -0,0 +1,42 @@
+/*
+ * 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.
+ */
+
+package org.apache.spark.deploy.master
+
+import com.codahale.metrics.{Gauge, MetricRegistry}
+
+import org.apache.spark.metrics.source.Source
+
+private[spark] class MasterSource(val master: Master) extends Source {
+  val metricRegistry = new MetricRegistry()
+  val sourceName = "master"
+
+  // Gauge for worker numbers in cluster
+  metricRegistry.register(MetricRegistry.name("workers","number"), new Gauge[Int] {
+    override def getValue: Int = master.workers.size
+  })
+
+  // Gauge for application numbers in cluster
+  metricRegistry.register(MetricRegistry.name("apps", "number"), new Gauge[Int] {
+    override def getValue: Int = master.apps.size
+  })
+
+  // Gauge for waiting application numbers in cluster
+  metricRegistry.register(MetricRegistry.name("waitingApps", "number"), new Gauge[Int] {
+    override def getValue: Int = master.waitingApps.size
+  })
+}
diff --git a/core/src/main/scala/spark/deploy/master/WorkerInfo.scala b/core/src/main/scala/org/apache/spark/deploy/master/WorkerInfo.scala
index 4135cfeb28..6219f11f2a 100644
--- a/core/src/main/scala/spark/deploy/master/WorkerInfo.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/WorkerInfo.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.deploy.master
+package org.apache.spark.deploy.master
 
 import akka.actor.ActorRef
 import scala.collection.mutable
-import spark.Utils
+import org.apache.spark.util.Utils
 
 private[spark] class WorkerInfo(
   val id: String,
diff --git a/core/src/main/scala/spark/deploy/master/WorkerState.scala b/core/src/main/scala/org/apache/spark/deploy/master/WorkerState.scala
index 3e50b7748d..b5ee6dca79 100644
--- a/core/src/main/scala/spark/deploy/master/WorkerState.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/WorkerState.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.deploy.master
+package org.apache.spark.deploy.master
 
 private[spark] object WorkerState extends Enumeration("ALIVE", "DEAD", "DECOMMISSIONED") {
   type WorkerState = Value
diff --git a/core/src/main/scala/spark/deploy/master/ui/ApplicationPage.scala b/core/src/main/scala/org/apache/spark/deploy/master/ui/ApplicationPage.scala
index 405a1ec3a6..f4e574d15d 100644
--- a/core/src/main/scala/spark/deploy/master/ui/ApplicationPage.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/ui/ApplicationPage.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.deploy.master.ui
+package org.apache.spark.deploy.master.ui
 
 import scala.xml.Node
 
@@ -27,10 +27,11 @@ import javax.servlet.http.HttpServletRequest
 
 import net.liftweb.json.JsonAST.JValue
 
-import spark.deploy.DeployMessages.{MasterStateResponse, RequestMasterState}
-import spark.deploy.JsonProtocol
-import spark.deploy.master.ExecutorInfo
-import spark.ui.UIUtils
+import org.apache.spark.deploy.DeployMessages.{MasterStateResponse, RequestMasterState}
+import org.apache.spark.deploy.JsonProtocol
+import org.apache.spark.deploy.master.ExecutorInfo
+import org.apache.spark.ui.UIUtils
+import org.apache.spark.util.Utils
 
 private[spark] class ApplicationPage(parent: MasterWebUI) {
   val master = parent.masterActorRef
@@ -61,24 +62,26 @@ private[spark] class ApplicationPage(parent: MasterWebUI) {
     val executorTable = UIUtils.listingTable(executorHeaders, executorRow, executors)
 
     val content =
-        <hr />
-        <div class="row">
+        <div class="row-fluid">
           <div class="span12">
             <ul class="unstyled">
               <li><strong>ID:</strong> {app.id}</li>
-              <li><strong>Description:</strong> {app.desc.name}</li>
+              <li><strong>Name:</strong> {app.desc.name}</li>
               <li><strong>User:</strong> {app.desc.user}</li>
               <li><strong>Cores:</strong>
                 {
                 if (app.desc.maxCores == Integer.MAX_VALUE) {
-                  "Unlimited %s granted".format(app.coresGranted)
+                  "Unlimited (%s granted)".format(app.coresGranted)
                 } else {
                   "%s (%s granted, %s left)".format(
                     app.desc.maxCores, app.coresGranted, app.coresLeft)
                 }
                 }
               </li>
-              <li><strong>Memory per Slave:</strong> {app.desc.memoryPerSlave}</li>
+              <li>
+                <strong>Executor Memory:</strong>
+                {Utils.megabytesToString(app.desc.memoryPerSlave)}
+              </li>
               <li><strong>Submit Date:</strong> {app.submitDate}</li>
               <li><strong>State:</strong> {app.state}</li>
               <li><strong><a href={app.appUiUrl}>Application Detail UI</a></strong></li>
@@ -86,15 +89,13 @@ private[spark] class ApplicationPage(parent: MasterWebUI) {
           </div>
         </div>
 
-          <hr/>
-
-        <div class="row"> <!-- Executors -->
+        <div class="row-fluid"> <!-- Executors -->
           <div class="span12">
             <h4> Executor Summary </h4>
             {executorTable}
           </div>
         </div>;
-    UIUtils.basicSparkPage(content, "Application Info: " + app.desc.name)
+    UIUtils.basicSparkPage(content, "Application: " + app.desc.name)
   }
 
   def executorRow(executor: ExecutorInfo): Seq[Node] = {
diff --git a/core/src/main/scala/spark/deploy/master/ui/IndexPage.scala b/core/src/main/scala/org/apache/spark/deploy/master/ui/IndexPage.scala
index 2000211b98..d7a57229b0 100644
--- a/core/src/main/scala/spark/deploy/master/ui/IndexPage.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/ui/IndexPage.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.deploy.master.ui
+package org.apache.spark.deploy.master.ui
 
 import javax.servlet.http.HttpServletRequest
 
@@ -27,12 +27,12 @@ import akka.util.duration._
 
 import net.liftweb.json.JsonAST.JValue
 
-import spark.Utils
-import spark.deploy.DeployWebUI
-import spark.deploy.DeployMessages.{MasterStateResponse, RequestMasterState}
-import spark.deploy.JsonProtocol
-import spark.deploy.master.{ApplicationInfo, WorkerInfo}
-import spark.ui.UIUtils
+import org.apache.spark.deploy.DeployWebUI
+import org.apache.spark.deploy.DeployMessages.{MasterStateResponse, RequestMasterState}
+import org.apache.spark.deploy.JsonProtocol
+import org.apache.spark.deploy.master.{ApplicationInfo, WorkerInfo}
+import org.apache.spark.ui.UIUtils
+import org.apache.spark.util.Utils
 
 private[spark] class IndexPage(parent: MasterWebUI) {
   val master = parent.masterActorRef
@@ -61,8 +61,7 @@ private[spark] class IndexPage(parent: MasterWebUI) {
     val completedAppsTable = UIUtils.listingTable(appHeaders, appRow, completedApps)
 
     val content =
-        <hr />
-        <div class="row">
+        <div class="row-fluid">
           <div class="span12">
             <ul class="unstyled">
               <li><strong>URL:</strong> {state.uri}</li>
@@ -79,16 +78,14 @@ private[spark] class IndexPage(parent: MasterWebUI) {
           </div>
         </div>
 
-        <div class="row">
+        <div class="row-fluid">
           <div class="span12">
             <h4> Workers </h4>
             {workerTable}
           </div>
         </div>
 
-          <hr/>
-
-        <div class="row">
+        <div class="row-fluid">
           <div class="span12">
             <h4> Running Applications </h4>
 
@@ -96,15 +93,13 @@ private[spark] class IndexPage(parent: MasterWebUI) {
           </div>
         </div>
 
-          <hr/>
-
-        <div class="row">
+        <div class="row-fluid">
           <div class="span12">
             <h4> Completed Applications </h4>
             {completedAppsTable}
           </div>
         </div>;
-    UIUtils.basicSparkPage(content, "Spark Master: " + state.uri)
+    UIUtils.basicSparkPage(content, "Spark Master at " + state.uri)
   }
 
   def workerRow(worker: WorkerInfo): Seq[Node] = {
diff --git a/core/src/main/scala/spark/deploy/master/ui/MasterWebUI.scala b/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterWebUI.scala
index c91e1db9f2..f4df729e87 100644
--- a/core/src/main/scala/spark/deploy/master/ui/MasterWebUI.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterWebUI.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.deploy.master.ui
+package org.apache.spark.deploy.master.ui
 
 import akka.util.Duration
 
@@ -23,10 +23,11 @@ import javax.servlet.http.HttpServletRequest
 
 import org.eclipse.jetty.server.{Handler, Server}
 
-import spark.{Logging, Utils}
-import spark.deploy.master.Master
-import spark.ui.JettyUtils
-import spark.ui.JettyUtils._
+import org.apache.spark.{Logging}
+import org.apache.spark.deploy.master.Master
+import org.apache.spark.ui.JettyUtils
+import org.apache.spark.ui.JettyUtils._
+import org.apache.spark.util.Utils
 
 /**
  * Web UI server for the standalone master.
@@ -76,5 +77,5 @@ class MasterWebUI(val master: Master, requestedPort: Int) extends Logging {
 }
 
 private[spark] object MasterWebUI {
-  val STATIC_RESOURCE_DIR = "spark/ui/static"
+  val STATIC_RESOURCE_DIR = "org/apache/spark/ui/static"
 }
diff --git a/core/src/main/scala/spark/deploy/worker/ExecutorRunner.scala b/core/src/main/scala/org/apache/spark/deploy/worker/ExecutorRunner.scala
index 34665ce451..e3dc30eefc 100644
--- a/core/src/main/scala/spark/deploy/worker/ExecutorRunner.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/worker/ExecutorRunner.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.deploy.worker
+package org.apache.spark.deploy.worker
 
 import java.io._
 import java.lang.System.getenv
@@ -25,9 +25,10 @@ import akka.actor.ActorRef
 import com.google.common.base.Charsets
 import com.google.common.io.Files
 
-import spark.{Utils, Logging}
-import spark.deploy.{ExecutorState, ApplicationDescription}
-import spark.deploy.DeployMessages.ExecutorStateChanged
+import org.apache.spark.{Logging}
+import org.apache.spark.deploy.{ExecutorState, ApplicationDescription}
+import org.apache.spark.deploy.DeployMessages.ExecutorStateChanged
+import org.apache.spark.util.Utils
 
 /**
  * Manages the execution of one executor process.
diff --git a/core/src/main/scala/spark/deploy/worker/Worker.scala b/core/src/main/scala/org/apache/spark/deploy/worker/Worker.scala
index 053ac55226..09530beb3b 100644
--- a/core/src/main/scala/spark/deploy/worker/Worker.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/worker/Worker.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.deploy.worker
+package org.apache.spark.deploy.worker
 
 import java.text.SimpleDateFormat
 import java.util.Date
@@ -27,13 +27,13 @@ import akka.actor.{ActorRef, Props, Actor, ActorSystem, Terminated}
 import akka.remote.{RemoteClientLifeCycleEvent, RemoteClientShutdown, RemoteClientDisconnected}
 import akka.util.duration._
 
-import spark.{Logging, Utils}
-import spark.deploy.ExecutorState
-import spark.deploy.DeployMessages._
-import spark.deploy.master.Master
-import spark.deploy.worker.ui.WorkerWebUI
-import spark.metrics.MetricsSystem
-import spark.util.AkkaUtils
+import org.apache.spark.{Logging}
+import org.apache.spark.deploy.ExecutorState
+import org.apache.spark.deploy.DeployMessages._
+import org.apache.spark.deploy.master.Master
+import org.apache.spark.deploy.worker.ui.WorkerWebUI
+import org.apache.spark.metrics.MetricsSystem
+import org.apache.spark.util.{Utils, AkkaUtils}
 
 
 private[spark] class Worker(
diff --git a/core/src/main/scala/spark/deploy/worker/WorkerArguments.scala b/core/src/main/scala/org/apache/spark/deploy/worker/WorkerArguments.scala
index 9fcd3260ca..0ae89a864f 100644
--- a/core/src/main/scala/spark/deploy/worker/WorkerArguments.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/worker/WorkerArguments.scala
@@ -15,11 +15,9 @@
  * limitations under the License.
  */
 
-package spark.deploy.worker
+package org.apache.spark.deploy.worker
 
-import spark.util.IntParam
-import spark.util.MemoryParam
-import spark.Utils
+import org.apache.spark.util.{Utils, IntParam, MemoryParam}
 import java.lang.management.ManagementFactory
 
 /**
diff --git a/core/src/main/scala/spark/deploy/worker/WorkerSource.scala b/core/src/main/scala/org/apache/spark/deploy/worker/WorkerSource.scala
index 39cb8e5690..df269fd047 100644
--- a/core/src/main/scala/spark/deploy/worker/WorkerSource.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/worker/WorkerSource.scala
@@ -1,8 +1,25 @@
-package spark.deploy.worker
+/*
+ * 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.
+ */
+
+package org.apache.spark.deploy.worker
 
 import com.codahale.metrics.{Gauge, MetricRegistry}
 
-import spark.metrics.source.Source
+import org.apache.spark.metrics.source.Source
 
 private[spark] class WorkerSource(val worker: Worker) extends Source {
   val sourceName = "worker"
diff --git a/core/src/main/scala/spark/deploy/worker/ui/IndexPage.scala b/core/src/main/scala/org/apache/spark/deploy/worker/ui/IndexPage.scala
index b67059068b..d2d3617498 100644
--- a/core/src/main/scala/spark/deploy/worker/ui/IndexPage.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/worker/ui/IndexPage.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.deploy.worker.ui
+package org.apache.spark.deploy.worker.ui
 
 import javax.servlet.http.HttpServletRequest
 
@@ -27,11 +27,11 @@ import akka.util.duration._
 
 import net.liftweb.json.JsonAST.JValue
 
-import spark.Utils
-import spark.deploy.JsonProtocol
-import spark.deploy.DeployMessages.{RequestWorkerState, WorkerStateResponse}
-import spark.deploy.worker.ExecutorRunner
-import spark.ui.UIUtils
+import org.apache.spark.deploy.JsonProtocol
+import org.apache.spark.deploy.DeployMessages.{RequestWorkerState, WorkerStateResponse}
+import org.apache.spark.deploy.worker.ExecutorRunner
+import org.apache.spark.ui.UIUtils
+import org.apache.spark.util.Utils
 
 
 private[spark] class IndexPage(parent: WorkerWebUI) {
@@ -56,8 +56,7 @@ private[spark] class IndexPage(parent: WorkerWebUI) {
       UIUtils.listingTable(executorHeaders, executorRow, workerState.finishedExecutors)
 
     val content =
-        <hr />
-        <div class="row"> <!-- Worker Details -->
+        <div class="row-fluid"> <!-- Worker Details -->
           <div class="span12">
             <ul class="unstyled">
               <li><strong>ID:</strong> {workerState.workerId}</li>
@@ -71,24 +70,22 @@ private[spark] class IndexPage(parent: WorkerWebUI) {
             <p><a href={workerState.masterWebUiUrl}>Back to Master</a></p>
           </div>
         </div>
-        <hr/>
 
-        <div class="row"> <!-- Running Executors -->
+        <div class="row-fluid"> <!-- Running Executors -->
           <div class="span12">
             <h4> Running Executors {workerState.executors.size} </h4>
             {runningExecutorTable}
           </div>
         </div>
-          <hr/>
 
-        <div class="row"> <!-- Finished Executors  -->
+        <div class="row-fluid"> <!-- Finished Executors  -->
           <div class="span12">
             <h4> Finished Executors </h4>
             {finishedExecutorTable}
           </div>
         </div>;
 
-    UIUtils.basicSparkPage(content, "Spark Worker on %s:%s".format(
+    UIUtils.basicSparkPage(content, "Spark Worker at %s:%s".format(
       workerState.host, workerState.port))
   }
 
diff --git a/core/src/main/scala/spark/deploy/worker/ui/WorkerWebUI.scala b/core/src/main/scala/org/apache/spark/deploy/worker/ui/WorkerWebUI.scala
index 717619f80d..95d6007f3b 100644
--- a/core/src/main/scala/spark/deploy/worker/ui/WorkerWebUI.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/worker/ui/WorkerWebUI.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.deploy.worker.ui
+package org.apache.spark.deploy.worker.ui
 
 import akka.util.{Duration, Timeout}
 
@@ -25,11 +25,12 @@ import javax.servlet.http.HttpServletRequest
 
 import org.eclipse.jetty.server.{Handler, Server}
 
-import spark.deploy.worker.Worker
-import spark.{Utils, Logging}
-import spark.ui.JettyUtils
-import spark.ui.JettyUtils._
-import spark.ui.UIUtils
+import org.apache.spark.deploy.worker.Worker
+import org.apache.spark.{Logging}
+import org.apache.spark.ui.JettyUtils
+import org.apache.spark.ui.JettyUtils._
+import org.apache.spark.ui.UIUtils
+import org.apache.spark.util.Utils
 
 /**
  * Web UI server for the standalone worker.
@@ -143,7 +144,6 @@ class WorkerWebUI(val worker: Worker, val workDir: File, requestedPort: Option[I
       <html>
         <body>
           {linkToMaster}
-          <hr />
           <div>
             <div style="float:left;width:40%">{backButton}</div>
             <div style="float:left;">{range}</div>
@@ -186,6 +186,6 @@ class WorkerWebUI(val worker: Worker, val workDir: File, requestedPort: Option[I
 }
 
 private[spark] object WorkerWebUI {
-  val STATIC_RESOURCE_DIR = "spark/ui/static"
+  val STATIC_RESOURCE_DIR = "org/apache/spark/ui/static"
   val DEFAULT_PORT="8081"
 }
diff --git a/core/src/main/scala/spark/executor/Executor.scala b/core/src/main/scala/org/apache/spark/executor/Executor.scala
index fa82d2b324..d365804994 100644
--- a/core/src/main/scala/spark/executor/Executor.scala
+++ b/core/src/main/scala/org/apache/spark/executor/Executor.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.executor
+package org.apache.spark.executor
 
 import java.io.{File}
 import java.lang.management.ManagementFactory
@@ -25,8 +25,9 @@ import java.util.concurrent._
 import scala.collection.JavaConversions._
 import scala.collection.mutable.HashMap
 
-import spark.scheduler._
-import spark._
+import org.apache.spark.scheduler._
+import org.apache.spark._
+import org.apache.spark.util.Utils
 
 
 /**
@@ -225,13 +226,13 @@ private[spark] class Executor(
     if (classUri != null) {
       logInfo("Using REPL class URI: " + classUri)
       try {
-        val klass = Class.forName("spark.repl.ExecutorClassLoader")
+        val klass = Class.forName("org.apache.spark.repl.ExecutorClassLoader")
           .asInstanceOf[Class[_ <: ClassLoader]]
         val constructor = klass.getConstructor(classOf[String], classOf[ClassLoader])
         return constructor.newInstance(classUri, parent)
       } catch {
         case _: ClassNotFoundException =>
-          logError("Could not find spark.repl.ExecutorClassLoader on classpath!")
+          logError("Could not find org.apache.spark.repl.ExecutorClassLoader on classpath!")
           System.exit(1)
           null
       }
diff --git a/core/src/main/scala/spark/executor/ExecutorBackend.scala b/core/src/main/scala/org/apache/spark/executor/ExecutorBackend.scala
index 33a6f8a824..ad7dd34c76 100644
--- a/core/src/main/scala/spark/executor/ExecutorBackend.scala
+++ b/core/src/main/scala/org/apache/spark/executor/ExecutorBackend.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.executor
+package org.apache.spark.executor
 
 import java.nio.ByteBuffer
-import spark.TaskState.TaskState
+import org.apache.spark.TaskState.TaskState
 
 /**
  * A pluggable interface used by the Executor to send updates to the cluster scheduler.
diff --git a/core/src/main/scala/spark/executor/ExecutorExitCode.scala b/core/src/main/scala/org/apache/spark/executor/ExecutorExitCode.scala
index 64b9fb88f8..e5c9bbbe28 100644
--- a/core/src/main/scala/spark/executor/ExecutorExitCode.scala
+++ b/core/src/main/scala/org/apache/spark/executor/ExecutorExitCode.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.executor
+package org.apache.spark.executor
 
 /**
  * These are exit codes that executors should use to provide the master with information about
diff --git a/core/src/main/scala/spark/executor/ExecutorSource.scala b/core/src/main/scala/org/apache/spark/executor/ExecutorSource.scala
index d491a3c0c9..bf8fb4fd21 100644
--- a/core/src/main/scala/spark/executor/ExecutorSource.scala
+++ b/core/src/main/scala/org/apache/spark/executor/ExecutorSource.scala
@@ -1,4 +1,21 @@
-package spark.executor
+/*
+ * 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.
+ */
+
+package org.apache.spark.executor
 
 import com.codahale.metrics.{Gauge, MetricRegistry}
 
@@ -8,7 +25,7 @@ import org.apache.hadoop.fs.LocalFileSystem
 
 import scala.collection.JavaConversions._
 
-import spark.metrics.source.Source
+import org.apache.spark.metrics.source.Source
 
 class ExecutorSource(val executor: Executor) extends Source {
   private def fileStats(scheme: String) : Option[FileSystem.Statistics] =
diff --git a/core/src/main/scala/spark/executor/ExecutorURLClassLoader.scala b/core/src/main/scala/org/apache/spark/executor/ExecutorURLClassLoader.scala
index 09d12fb65b..f9bfe8ed2f 100644
--- a/core/src/main/scala/spark/executor/ExecutorURLClassLoader.scala
+++ b/core/src/main/scala/org/apache/spark/executor/ExecutorURLClassLoader.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.executor
+package org.apache.spark.executor
 
 import java.net.{URLClassLoader, URL}
 
diff --git a/core/src/main/scala/spark/executor/MesosExecutorBackend.scala b/core/src/main/scala/org/apache/spark/executor/MesosExecutorBackend.scala
index 4961c42fad..da62091980 100644
--- a/core/src/main/scala/spark/executor/MesosExecutorBackend.scala
+++ b/core/src/main/scala/org/apache/spark/executor/MesosExecutorBackend.scala
@@ -15,15 +15,16 @@
  * limitations under the License.
  */
 
-package spark.executor
+package org.apache.spark.executor
 
 import java.nio.ByteBuffer
 import org.apache.mesos.{Executor => MesosExecutor, MesosExecutorDriver, MesosNativeLibrary, ExecutorDriver}
 import org.apache.mesos.Protos.{TaskState => MesosTaskState, TaskStatus => MesosTaskStatus, _}
-import spark.TaskState.TaskState
+import org.apache.spark.TaskState.TaskState
 import com.google.protobuf.ByteString
-import spark.{Utils, Logging}
-import spark.TaskState
+import org.apache.spark.{Logging}
+import org.apache.spark.TaskState
+import org.apache.spark.util.Utils
 
 private[spark] class MesosExecutorBackend
   extends MesosExecutor
diff --git a/core/src/main/scala/spark/executor/StandaloneExecutorBackend.scala b/core/src/main/scala/org/apache/spark/executor/StandaloneExecutorBackend.scala
index b5fb6dbe29..7839023868 100644
--- a/core/src/main/scala/spark/executor/StandaloneExecutorBackend.scala
+++ b/core/src/main/scala/org/apache/spark/executor/StandaloneExecutorBackend.scala
@@ -15,17 +15,17 @@
  * limitations under the License.
  */
 
-package spark.executor
+package org.apache.spark.executor
 
 import java.nio.ByteBuffer
 
 import akka.actor.{ActorRef, Actor, Props, Terminated}
 import akka.remote.{RemoteClientLifeCycleEvent, RemoteClientShutdown, RemoteClientDisconnected}
 
-import spark.{Logging, Utils, SparkEnv}
-import spark.TaskState.TaskState
-import spark.scheduler.cluster.StandaloneClusterMessages._
-import spark.util.AkkaUtils
+import org.apache.spark.{Logging, SparkEnv}
+import org.apache.spark.TaskState.TaskState
+import org.apache.spark.scheduler.cluster.StandaloneClusterMessages._
+import org.apache.spark.util.{Utils, AkkaUtils}
 
 
 private[spark] class StandaloneExecutorBackend(
diff --git a/core/src/main/scala/spark/executor/TaskMetrics.scala b/core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala
index 47b8890bee..f311141148 100644
--- a/core/src/main/scala/spark/executor/TaskMetrics.scala
+++ b/core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.executor
+package org.apache.spark.executor
 
 class TaskMetrics extends Serializable {
   /**
diff --git a/core/src/main/scala/spark/io/CompressionCodec.scala b/core/src/main/scala/org/apache/spark/io/CompressionCodec.scala
index 0adebecadb..570a979b56 100644
--- a/core/src/main/scala/spark/io/CompressionCodec.scala
+++ b/core/src/main/scala/org/apache/spark/io/CompressionCodec.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.io
+package org.apache.spark.io
 
 import java.io.{InputStream, OutputStream}
 
@@ -39,23 +39,19 @@ trait CompressionCodec {
 private[spark] object CompressionCodec {
 
   def createCodec(): CompressionCodec = {
-    // Set the default codec to Snappy since the LZF implementation initializes a pretty large
-    // buffer for every stream, which results in a lot of memory overhead when the number of
-    // shuffle reduce buckets are large.
-    createCodec(classOf[SnappyCompressionCodec].getName)
+    createCodec(System.getProperty(
+      "spark.io.compression.codec", classOf[LZFCompressionCodec].getName))
   }
 
   def createCodec(codecName: String): CompressionCodec = {
-    Class.forName(
-      System.getProperty("spark.io.compression.codec", codecName),
-      true,
-      Thread.currentThread.getContextClassLoader).newInstance().asInstanceOf[CompressionCodec]
+    Class.forName(codecName, true, Thread.currentThread.getContextClassLoader)
+      .newInstance().asInstanceOf[CompressionCodec]
   }
 }
 
 
 /**
- * LZF implementation of [[spark.io.CompressionCodec]].
+ * LZF implementation of [[org.apache.spark.io.CompressionCodec]].
  */
 class LZFCompressionCodec extends CompressionCodec {
 
@@ -68,7 +64,7 @@ class LZFCompressionCodec extends CompressionCodec {
 
 
 /**
- * Snappy implementation of [[spark.io.CompressionCodec]].
+ * Snappy implementation of [[org.apache.spark.io.CompressionCodec]].
  * Block size can be configured by spark.io.compression.snappy.block.size.
  */
 class SnappyCompressionCodec extends CompressionCodec {
diff --git a/core/src/main/scala/spark/metrics/MetricsConfig.scala b/core/src/main/scala/org/apache/spark/metrics/MetricsConfig.scala
index d7fb5378a4..0f9c4e00b1 100644
--- a/core/src/main/scala/spark/metrics/MetricsConfig.scala
+++ b/core/src/main/scala/org/apache/spark/metrics/MetricsConfig.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.metrics
+package org.apache.spark.metrics
 
 import java.util.Properties
 import java.io.{File, FileInputStream, InputStream, IOException}
@@ -23,7 +23,7 @@ import java.io.{File, FileInputStream, InputStream, IOException}
 import scala.collection.mutable
 import scala.util.matching.Regex
 
-import spark.Logging
+import org.apache.spark.Logging
 
 private[spark] class MetricsConfig(val configFile: Option[String]) extends Logging {
   initLogging()
@@ -36,7 +36,7 @@ private[spark] class MetricsConfig(val configFile: Option[String]) extends Loggi
   var propertyCategories: mutable.HashMap[String, Properties] = null
 
   private def setDefaultProperties(prop: Properties) {
-    prop.setProperty("*.sink.servlet.class", "spark.metrics.sink.MetricsServlet")
+    prop.setProperty("*.sink.servlet.class", "org.apache.spark.metrics.sink.MetricsServlet")
     prop.setProperty("*.sink.servlet.uri", "/metrics/json")
     prop.setProperty("*.sink.servlet.sample", "false")
     prop.setProperty("master.sink.servlet.uri", "/metrics/master/json")
diff --git a/core/src/main/scala/spark/metrics/MetricsSystem.scala b/core/src/main/scala/org/apache/spark/metrics/MetricsSystem.scala
index 4e6c6b26c8..bec0c83be8 100644
--- a/core/src/main/scala/spark/metrics/MetricsSystem.scala
+++ b/core/src/main/scala/org/apache/spark/metrics/MetricsSystem.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.metrics
+package org.apache.spark.metrics
 
 import com.codahale.metrics.{Metric, MetricFilter, MetricRegistry}
 
@@ -24,9 +24,9 @@ import java.util.concurrent.TimeUnit
 
 import scala.collection.mutable
 
-import spark.Logging
-import spark.metrics.sink.{MetricsServlet, Sink}
-import spark.metrics.source.Source
+import org.apache.spark.Logging
+import org.apache.spark.metrics.sink.{MetricsServlet, Sink}
+import org.apache.spark.metrics.source.Source
 
 /**
  * Spark Metrics System, created by specific "instance", combined by source,
diff --git a/core/src/main/scala/spark/metrics/sink/ConsoleSink.scala b/core/src/main/scala/org/apache/spark/metrics/sink/ConsoleSink.scala
index 966ba37c20..bce257d6e6 100644
--- a/core/src/main/scala/spark/metrics/sink/ConsoleSink.scala
+++ b/core/src/main/scala/org/apache/spark/metrics/sink/ConsoleSink.scala
@@ -15,14 +15,14 @@
  * limitations under the License.
  */
 
-package spark.metrics.sink
+package org.apache.spark.metrics.sink
 
 import com.codahale.metrics.{ConsoleReporter, MetricRegistry}
 
 import java.util.Properties
 import java.util.concurrent.TimeUnit
 
-import spark.metrics.MetricsSystem
+import org.apache.spark.metrics.MetricsSystem
 
 class ConsoleSink(val property: Properties, val registry: MetricRegistry) extends Sink {
   val CONSOLE_DEFAULT_PERIOD = 10
diff --git a/core/src/main/scala/spark/metrics/sink/CsvSink.scala b/core/src/main/scala/org/apache/spark/metrics/sink/CsvSink.scala
index cb990afdef..3d1a06a395 100644
--- a/core/src/main/scala/spark/metrics/sink/CsvSink.scala
+++ b/core/src/main/scala/org/apache/spark/metrics/sink/CsvSink.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.metrics.sink
+package org.apache.spark.metrics.sink
 
 import com.codahale.metrics.{CsvReporter, MetricRegistry}
 
@@ -23,7 +23,7 @@ import java.io.File
 import java.util.{Locale, Properties}
 import java.util.concurrent.TimeUnit
 
-import spark.metrics.MetricsSystem
+import org.apache.spark.metrics.MetricsSystem
 
 class CsvSink(val property: Properties, val registry: MetricRegistry) extends Sink {
   val CSV_KEY_PERIOD = "period"
diff --git a/core/src/main/scala/spark/metrics/sink/JmxSink.scala b/core/src/main/scala/org/apache/spark/metrics/sink/JmxSink.scala
index ee04544c0e..621d086d41 100644
--- a/core/src/main/scala/spark/metrics/sink/JmxSink.scala
+++ b/core/src/main/scala/org/apache/spark/metrics/sink/JmxSink.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.metrics.sink
+package org.apache.spark.metrics.sink
 
 import com.codahale.metrics.{JmxReporter, MetricRegistry}
 
diff --git a/core/src/main/scala/spark/metrics/sink/MetricsServlet.scala b/core/src/main/scala/org/apache/spark/metrics/sink/MetricsServlet.scala
index 17432b1ed1..4e90dd4323 100644
--- a/core/src/main/scala/spark/metrics/sink/MetricsServlet.scala
+++ b/core/src/main/scala/org/apache/spark/metrics/sink/MetricsServlet.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.metrics.sink
+package org.apache.spark.metrics.sink
 
 import com.codahale.metrics.MetricRegistry
 import com.codahale.metrics.json.MetricsModule
@@ -28,7 +28,7 @@ import javax.servlet.http.HttpServletRequest
 
 import org.eclipse.jetty.server.Handler
 
-import spark.ui.JettyUtils
+import org.apache.spark.ui.JettyUtils
 
 class MetricsServlet(val property: Properties, val registry: MetricRegistry) extends Sink {
   val SERVLET_KEY_URI = "uri"
diff --git a/core/src/main/scala/spark/metrics/sink/Sink.scala b/core/src/main/scala/org/apache/spark/metrics/sink/Sink.scala
index dad1a7f0fe..3a739aa563 100644
--- a/core/src/main/scala/spark/metrics/sink/Sink.scala
+++ b/core/src/main/scala/org/apache/spark/metrics/sink/Sink.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.metrics.sink
+package org.apache.spark.metrics.sink
 
 trait Sink {
   def start: Unit
   def stop: Unit
-}
\ No newline at end of file
+}
diff --git a/core/src/main/scala/spark/metrics/source/JvmSource.scala b/core/src/main/scala/org/apache/spark/metrics/source/JvmSource.scala
index e771008557..75cb2b8973 100644
--- a/core/src/main/scala/spark/metrics/source/JvmSource.scala
+++ b/core/src/main/scala/org/apache/spark/metrics/source/JvmSource.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.metrics.source
+package org.apache.spark.metrics.source
 
 import com.codahale.metrics.MetricRegistry
 import com.codahale.metrics.jvm.{GarbageCollectorMetricSet, MemoryUsageGaugeSet}
diff --git a/core/src/main/scala/spark/metrics/source/Source.scala b/core/src/main/scala/org/apache/spark/metrics/source/Source.scala
index 76199a004b..3fee55cc6d 100644
--- a/core/src/main/scala/spark/metrics/source/Source.scala
+++ b/core/src/main/scala/org/apache/spark/metrics/source/Source.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.metrics.source
+package org.apache.spark.metrics.source
 
 import com.codahale.metrics.MetricRegistry
 
diff --git a/core/src/main/scala/spark/network/BufferMessage.scala b/core/src/main/scala/org/apache/spark/network/BufferMessage.scala
index e566aeac13..f736bb3713 100644
--- a/core/src/main/scala/spark/network/BufferMessage.scala
+++ b/core/src/main/scala/org/apache/spark/network/BufferMessage.scala
@@ -15,13 +15,13 @@
  * limitations under the License.
  */
 
-package spark.network
+package org.apache.spark.network
 
 import java.nio.ByteBuffer
 
 import scala.collection.mutable.ArrayBuffer
 
-import spark.storage.BlockManager
+import org.apache.spark.storage.BlockManager
 
 
 private[spark]
diff --git a/core/src/main/scala/spark/network/Connection.scala b/core/src/main/scala/org/apache/spark/network/Connection.scala
index 1e571d39ae..95cb0206ac 100644
--- a/core/src/main/scala/spark/network/Connection.scala
+++ b/core/src/main/scala/org/apache/spark/network/Connection.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.network
+package org.apache.spark.network
 
-import spark._
+import org.apache.spark._
 
 import scala.collection.mutable.{HashMap, Queue, ArrayBuffer}
 
diff --git a/core/src/main/scala/spark/network/ConnectionManager.scala b/core/src/main/scala/org/apache/spark/network/ConnectionManager.scala
index 8b9f3ae18c..e15a839c4e 100644
--- a/core/src/main/scala/spark/network/ConnectionManager.scala
+++ b/core/src/main/scala/org/apache/spark/network/ConnectionManager.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.network
+package org.apache.spark.network
 
-import spark._
+import org.apache.spark._
 
 import java.nio._
 import java.nio.channels._
@@ -34,6 +34,7 @@ import scala.collection.mutable.ArrayBuffer
 import akka.dispatch.{Await, Promise, ExecutionContext, Future}
 import akka.util.Duration
 import akka.util.duration._
+import org.apache.spark.util.Utils
 
 
 private[spark] class ConnectionManager(port: Int) extends Logging {
diff --git a/core/src/main/scala/spark/network/ConnectionManagerId.scala b/core/src/main/scala/org/apache/spark/network/ConnectionManagerId.scala
index 9d5c518293..50dd9bc2d1 100644
--- a/core/src/main/scala/spark/network/ConnectionManagerId.scala
+++ b/core/src/main/scala/org/apache/spark/network/ConnectionManagerId.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.network
+package org.apache.spark.network
 
 import java.net.InetSocketAddress
 
-import spark.Utils
+import org.apache.spark.util.Utils
 
 
 private[spark] case class ConnectionManagerId(host: String, port: Int) {
diff --git a/core/src/main/scala/spark/network/ConnectionManagerTest.scala b/core/src/main/scala/org/apache/spark/network/ConnectionManagerTest.scala
index 9e3827aaf5..8d9ad9604d 100644
--- a/core/src/main/scala/spark/network/ConnectionManagerTest.scala
+++ b/core/src/main/scala/org/apache/spark/network/ConnectionManagerTest.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.network
+package org.apache.spark.network
 
-import spark._
-import spark.SparkContext._
+import org.apache.spark._
+import org.apache.spark.SparkContext._
 
 import scala.io.Source
 
diff --git a/core/src/main/scala/spark/network/Message.scala b/core/src/main/scala/org/apache/spark/network/Message.scala
index a25457ea35..f2ecc6d439 100644
--- a/core/src/main/scala/spark/network/Message.scala
+++ b/core/src/main/scala/org/apache/spark/network/Message.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.network
+package org.apache.spark.network
 
 import java.nio.ByteBuffer
 import java.net.InetSocketAddress
diff --git a/core/src/main/scala/spark/network/MessageChunk.scala b/core/src/main/scala/org/apache/spark/network/MessageChunk.scala
index 784db5ab62..e0fe57b80d 100644
--- a/core/src/main/scala/spark/network/MessageChunk.scala
+++ b/core/src/main/scala/org/apache/spark/network/MessageChunk.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.network
+package org.apache.spark.network
 
 import java.nio.ByteBuffer
 
diff --git a/core/src/main/scala/spark/network/MessageChunkHeader.scala b/core/src/main/scala/org/apache/spark/network/MessageChunkHeader.scala
index 18d0cbcc14..235fbc39b3 100644
--- a/core/src/main/scala/spark/network/MessageChunkHeader.scala
+++ b/core/src/main/scala/org/apache/spark/network/MessageChunkHeader.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.network
+package org.apache.spark.network
 
 import java.net.InetAddress
 import java.net.InetSocketAddress
diff --git a/core/src/main/scala/spark/network/ReceiverTest.scala b/core/src/main/scala/org/apache/spark/network/ReceiverTest.scala
index 2bbc736f40..781715108b 100644
--- a/core/src/main/scala/spark/network/ReceiverTest.scala
+++ b/core/src/main/scala/org/apache/spark/network/ReceiverTest.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.network
+package org.apache.spark.network
 
 import java.nio.ByteBuffer
 import java.net.InetAddress
diff --git a/core/src/main/scala/spark/network/SenderTest.scala b/core/src/main/scala/org/apache/spark/network/SenderTest.scala
index 542c54c36b..777574980f 100644
--- a/core/src/main/scala/spark/network/SenderTest.scala
+++ b/core/src/main/scala/org/apache/spark/network/SenderTest.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.network
+package org.apache.spark.network
 
 import java.nio.ByteBuffer
 import java.net.InetAddress
diff --git a/core/src/main/scala/spark/network/netty/FileHeader.scala b/core/src/main/scala/org/apache/spark/network/netty/FileHeader.scala
index bf46d32aa3..3c29700920 100644
--- a/core/src/main/scala/spark/network/netty/FileHeader.scala
+++ b/core/src/main/scala/org/apache/spark/network/netty/FileHeader.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.network.netty
+package org.apache.spark.network.netty
 
 import io.netty.buffer._
 
-import spark.Logging
+import org.apache.spark.Logging
 
 private[spark] class FileHeader (
   val fileLen: Int,
diff --git a/core/src/main/scala/spark/network/netty/ShuffleCopier.scala b/core/src/main/scala/org/apache/spark/network/netty/ShuffleCopier.scala
index b01f6369f6..9493ccffd9 100644
--- a/core/src/main/scala/spark/network/netty/ShuffleCopier.scala
+++ b/core/src/main/scala/org/apache/spark/network/netty/ShuffleCopier.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.network.netty
+package org.apache.spark.network.netty
 
 import java.util.concurrent.Executors
 
@@ -23,8 +23,8 @@ import io.netty.buffer.ByteBuf
 import io.netty.channel.ChannelHandlerContext
 import io.netty.util.CharsetUtil
 
-import spark.Logging
-import spark.network.ConnectionManagerId
+import org.apache.spark.Logging
+import org.apache.spark.network.ConnectionManagerId
 
 import scala.collection.JavaConverters._
 
diff --git a/core/src/main/scala/spark/network/netty/ShuffleSender.scala b/core/src/main/scala/org/apache/spark/network/netty/ShuffleSender.scala
index cdf88b03a0..537f225469 100644
--- a/core/src/main/scala/spark/network/netty/ShuffleSender.scala
+++ b/core/src/main/scala/org/apache/spark/network/netty/ShuffleSender.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.network.netty
+package org.apache.spark.network.netty
 
 import java.io.File
 
-import spark.Logging
+import org.apache.spark.Logging
 
 
 private[spark] class ShuffleSender(portIn: Int, val pResolver: PathResolver) extends Logging {
diff --git a/core/src/main/scala/org/apache/spark/package.scala b/core/src/main/scala/org/apache/spark/package.scala
new file mode 100644
index 0000000000..f132e2b735
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/package.scala
@@ -0,0 +1,33 @@
+/*
+ * 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.
+ */
+
+/**
+ * Core Spark functionality. [[org.apache.spark.SparkContext]] serves as the main entry point to
+ * Spark, while [[org.apache.spark.rdd.RDD]] is the data type representing a distributed collection,
+ * and provides most parallel operations.
+ *
+ * In addition, [[org.apache.spark.rdd.PairRDDFunctions]] contains operations available only on RDDs
+ * of key-value pairs, such as `groupByKey` and `join`; [[org.apache.spark.rdd.DoubleRDDFunctions]]
+ * contains operations available only on RDDs of Doubles; and
+ * [[org.apache.spark.rdd.SequenceFileRDDFunctions]] contains operations available on RDDs that can
+ * be saved as SequenceFiles. These operations are automatically available on any RDD of the right
+ * type (e.g. RDD[(Int, Int)] through implicit conversions when you
+ * `import org.apache.spark.SparkContext._`.
+ */
+package object spark {
+  // For package docs only
+}
diff --git a/core/src/main/scala/spark/partial/ApproximateActionListener.scala b/core/src/main/scala/org/apache/spark/partial/ApproximateActionListener.scala
index 691d939150..d71069444a 100644
--- a/core/src/main/scala/spark/partial/ApproximateActionListener.scala
+++ b/core/src/main/scala/org/apache/spark/partial/ApproximateActionListener.scala
@@ -15,10 +15,11 @@
  * limitations under the License.
  */
 
-package spark.partial
+package org.apache.spark.partial
 
-import spark._
-import spark.scheduler.JobListener
+import org.apache.spark._
+import org.apache.spark.scheduler.JobListener
+import org.apache.spark.rdd.RDD
 
 /**
  * A JobListener for an approximate single-result action, such as count() or non-parallel reduce().
diff --git a/core/src/main/scala/spark/partial/ApproximateEvaluator.scala b/core/src/main/scala/org/apache/spark/partial/ApproximateEvaluator.scala
index 5eae144dfb..9c2859c8b9 100644
--- a/core/src/main/scala/spark/partial/ApproximateEvaluator.scala
+++ b/core/src/main/scala/org/apache/spark/partial/ApproximateEvaluator.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.partial
+package org.apache.spark.partial
 
 /**
  * An object that computes a function incrementally by merging in results of type U from multiple
diff --git a/core/src/main/scala/spark/partial/BoundedDouble.scala b/core/src/main/scala/org/apache/spark/partial/BoundedDouble.scala
index 8bdbe6c012..5f4450859c 100644
--- a/core/src/main/scala/spark/partial/BoundedDouble.scala
+++ b/core/src/main/scala/org/apache/spark/partial/BoundedDouble.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.partial
+package org.apache.spark.partial
 
 /**
  * A Double with error bars on it.
diff --git a/core/src/main/scala/spark/partial/CountEvaluator.scala b/core/src/main/scala/org/apache/spark/partial/CountEvaluator.scala
index 6aa92094eb..3155dfe165 100644
--- a/core/src/main/scala/spark/partial/CountEvaluator.scala
+++ b/core/src/main/scala/org/apache/spark/partial/CountEvaluator.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.partial
+package org.apache.spark.partial
 
 import cern.jet.stat.Probability
 
diff --git a/core/src/main/scala/spark/partial/GroupedCountEvaluator.scala b/core/src/main/scala/org/apache/spark/partial/GroupedCountEvaluator.scala
index ebe2e5a1e3..e519e3a548 100644
--- a/core/src/main/scala/spark/partial/GroupedCountEvaluator.scala
+++ b/core/src/main/scala/org/apache/spark/partial/GroupedCountEvaluator.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.partial
+package org.apache.spark.partial
 
 import java.util.{HashMap => JHashMap}
 import java.util.{Map => JMap}
diff --git a/core/src/main/scala/spark/partial/GroupedMeanEvaluator.scala b/core/src/main/scala/org/apache/spark/partial/GroupedMeanEvaluator.scala
index 2dadbbd5fb..cf8a5680b6 100644
--- a/core/src/main/scala/spark/partial/GroupedMeanEvaluator.scala
+++ b/core/src/main/scala/org/apache/spark/partial/GroupedMeanEvaluator.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.partial
+package org.apache.spark.partial
 
 import java.util.{HashMap => JHashMap}
 import java.util.{Map => JMap}
@@ -24,7 +24,7 @@ import scala.collection.mutable.HashMap
 import scala.collection.Map
 import scala.collection.JavaConversions.mapAsScalaMap
 
-import spark.util.StatCounter
+import org.apache.spark.util.StatCounter
 
 /**
  * An ApproximateEvaluator for means by key. Returns a map of key to confidence interval.
diff --git a/core/src/main/scala/spark/partial/GroupedSumEvaluator.scala b/core/src/main/scala/org/apache/spark/partial/GroupedSumEvaluator.scala
index ae2b63f7cb..8225a5d933 100644
--- a/core/src/main/scala/spark/partial/GroupedSumEvaluator.scala
+++ b/core/src/main/scala/org/apache/spark/partial/GroupedSumEvaluator.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.partial
+package org.apache.spark.partial
 
 import java.util.{HashMap => JHashMap}
 import java.util.{Map => JMap}
@@ -24,7 +24,7 @@ import scala.collection.mutable.HashMap
 import scala.collection.Map
 import scala.collection.JavaConversions.mapAsScalaMap
 
-import spark.util.StatCounter
+import org.apache.spark.util.StatCounter
 
 /**
  * An ApproximateEvaluator for sums by key. Returns a map of key to confidence interval.
diff --git a/core/src/main/scala/spark/partial/MeanEvaluator.scala b/core/src/main/scala/org/apache/spark/partial/MeanEvaluator.scala
index 5ddcad7075..d24959cba8 100644
--- a/core/src/main/scala/spark/partial/MeanEvaluator.scala
+++ b/core/src/main/scala/org/apache/spark/partial/MeanEvaluator.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.partial
+package org.apache.spark.partial
 
 import cern.jet.stat.Probability
 
-import spark.util.StatCounter
+import org.apache.spark.util.StatCounter
 
 /**
  * An ApproximateEvaluator for means.
diff --git a/core/src/main/scala/spark/partial/PartialResult.scala b/core/src/main/scala/org/apache/spark/partial/PartialResult.scala
index 922a9f9bc6..5ce49b8100 100644
--- a/core/src/main/scala/spark/partial/PartialResult.scala
+++ b/core/src/main/scala/org/apache/spark/partial/PartialResult.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.partial
+package org.apache.spark.partial
 
 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/spark/partial/StudentTCacher.scala b/core/src/main/scala/org/apache/spark/partial/StudentTCacher.scala
index f3bb987d46..92915ee66d 100644
--- a/core/src/main/scala/spark/partial/StudentTCacher.scala
+++ b/core/src/main/scala/org/apache/spark/partial/StudentTCacher.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.partial
+package org.apache.spark.partial
 
 import cern.jet.stat.Probability
 
diff --git a/core/src/main/scala/spark/partial/SumEvaluator.scala b/core/src/main/scala/org/apache/spark/partial/SumEvaluator.scala
index 4083abef03..a74f800944 100644
--- a/core/src/main/scala/spark/partial/SumEvaluator.scala
+++ b/core/src/main/scala/org/apache/spark/partial/SumEvaluator.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.partial
+package org.apache.spark.partial
 
 import cern.jet.stat.Probability
 
-import spark.util.StatCounter
+import org.apache.spark.util.StatCounter
 
 /**
  * An ApproximateEvaluator for sums. It estimates the mean and the cont and multiplies them
diff --git a/core/src/main/scala/spark/rdd/BlockRDD.scala b/core/src/main/scala/org/apache/spark/rdd/BlockRDD.scala
index 03800584ae..bca6956a18 100644
--- a/core/src/main/scala/spark/rdd/BlockRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/BlockRDD.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
-import spark.{RDD, SparkContext, SparkEnv, Partition, TaskContext}
-import spark.storage.BlockManager
+import org.apache.spark.{SparkContext, SparkEnv, Partition, TaskContext}
+import org.apache.spark.storage.BlockManager
 
 private[spark] class BlockRDDPartition(val blockId: String, idx: Int) extends Partition {
   val index = idx
diff --git a/core/src/main/scala/spark/rdd/CartesianRDD.scala b/core/src/main/scala/org/apache/spark/rdd/CartesianRDD.scala
index 91b3e69d6f..9b0c882481 100644
--- a/core/src/main/scala/spark/rdd/CartesianRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/CartesianRDD.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
 import java.io.{ObjectOutputStream, IOException}
-import spark._
+import org.apache.spark._
 
 
 private[spark]
diff --git a/core/src/main/scala/spark/rdd/CheckpointRDD.scala b/core/src/main/scala/org/apache/spark/rdd/CheckpointRDD.scala
index 1ad5fe6539..3311757189 100644
--- a/core/src/main/scala/spark/rdd/CheckpointRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/CheckpointRDD.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
-import spark._
+import org.apache.spark._
 import org.apache.hadoop.mapred.{FileInputFormat, SequenceFileInputFormat, JobConf, Reporter}
 import org.apache.hadoop.conf.Configuration
 import org.apache.hadoop.io.{NullWritable, BytesWritable}
@@ -138,7 +138,7 @@ private[spark] object CheckpointRDD extends Logging {
   // each split file having multiple blocks. This needs to be run on a
   // cluster (mesos or standalone) using HDFS.
   def main(args: Array[String]) {
-    import spark._
+    import org.apache.spark._
 
     val Array(cluster, hdfsPath) = args
     val env = SparkEnv.get
diff --git a/core/src/main/scala/spark/rdd/CoGroupedRDD.scala b/core/src/main/scala/org/apache/spark/rdd/CoGroupedRDD.scala
index 01b6c23dcc..0187256a8e 100644
--- a/core/src/main/scala/spark/rdd/CoGroupedRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/CoGroupedRDD.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
 import java.io.{ObjectOutputStream, IOException}
 import java.util.{HashMap => JHashMap}
@@ -23,8 +23,8 @@ import java.util.{HashMap => JHashMap}
 import scala.collection.JavaConversions
 import scala.collection.mutable.ArrayBuffer
 
-import spark.{Partition, Partitioner, RDD, SparkEnv, TaskContext}
-import spark.{Dependency, OneToOneDependency, ShuffleDependency}
+import org.apache.spark.{Partition, Partitioner, SparkEnv, TaskContext}
+import org.apache.spark.{Dependency, OneToOneDependency, ShuffleDependency}
 
 
 private[spark] sealed trait CoGroupSplitDep extends Serializable
diff --git a/core/src/main/scala/spark/rdd/CoalescedRDD.scala b/core/src/main/scala/org/apache/spark/rdd/CoalescedRDD.scala
index e612d026b2..c5de6362a9 100644
--- a/core/src/main/scala/spark/rdd/CoalescedRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/CoalescedRDD.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
-import spark._
+import org.apache.spark._
 import java.io.{ObjectOutputStream, IOException}
 import scala.collection.mutable
 import scala.Some
diff --git a/core/src/main/scala/spark/DoubleRDDFunctions.scala b/core/src/main/scala/org/apache/spark/rdd/DoubleRDDFunctions.scala
index 104168e61c..a4bec41752 100644
--- a/core/src/main/scala/spark/DoubleRDDFunctions.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/DoubleRDDFunctions.scala
@@ -15,17 +15,18 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark.rdd
 
-import spark.partial.BoundedDouble
-import spark.partial.MeanEvaluator
-import spark.partial.PartialResult
-import spark.partial.SumEvaluator
-import spark.util.StatCounter
+import org.apache.spark.partial.BoundedDouble
+import org.apache.spark.partial.MeanEvaluator
+import org.apache.spark.partial.PartialResult
+import org.apache.spark.partial.SumEvaluator
+import org.apache.spark.util.StatCounter
+import org.apache.spark.{TaskContext, Logging}
 
 /**
  * Extra functions available on RDDs of Doubles through an implicit conversion.
- * Import `spark.SparkContext._` at the top of your program to use these functions.
+ * Import `org.apache.spark.SparkContext._` at the top of your program to use these functions.
  */
 class DoubleRDDFunctions(self: RDD[Double]) extends Logging with Serializable {
   /** Add up the elements in this RDD. */
@@ -34,7 +35,7 @@ class DoubleRDDFunctions(self: RDD[Double]) extends Logging with Serializable {
   }
 
   /**
-   * Return a [[spark.util.StatCounter]] object that captures the mean, variance and count
+   * Return a [[org.apache.spark.util.StatCounter]] object that captures the mean, variance and count
    * of the RDD's elements in one operation.
    */
   def stats(): StatCounter = {
diff --git a/core/src/main/scala/spark/rdd/EmptyRDD.scala b/core/src/main/scala/org/apache/spark/rdd/EmptyRDD.scala
index d7d4db5d30..c8900d1a93 100644
--- a/core/src/main/scala/spark/rdd/EmptyRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/EmptyRDD.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
-import spark.{RDD, SparkContext, SparkEnv, Partition, TaskContext}
+import org.apache.spark.{SparkContext, SparkEnv, Partition, TaskContext}
 
 
 /**
diff --git a/core/src/main/scala/spark/rdd/FilteredRDD.scala b/core/src/main/scala/org/apache/spark/rdd/FilteredRDD.scala
index 783508cfd1..5312dc0b59 100644
--- a/core/src/main/scala/spark/rdd/FilteredRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/FilteredRDD.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
-import spark.{OneToOneDependency, RDD, Partition, TaskContext}
+import org.apache.spark.{OneToOneDependency, Partition, TaskContext}
 
 private[spark] class FilteredRDD[T: ClassManifest](
     prev: RDD[T],
diff --git a/core/src/main/scala/spark/rdd/FlatMappedRDD.scala b/core/src/main/scala/org/apache/spark/rdd/FlatMappedRDD.scala
index ed75eac3ff..cbdf6d84c0 100644
--- a/core/src/main/scala/spark/rdd/FlatMappedRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/FlatMappedRDD.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
-import spark.{RDD, Partition, TaskContext}
+import org.apache.spark.{Partition, TaskContext}
 
 
 private[spark]
diff --git a/core/src/main/scala/spark/rdd/FlatMappedValuesRDD.scala b/core/src/main/scala/org/apache/spark/rdd/FlatMappedValuesRDD.scala
index a6bdce89d8..82000bac09 100644
--- a/core/src/main/scala/spark/rdd/FlatMappedValuesRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/FlatMappedValuesRDD.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
-import spark.{TaskContext, Partition, RDD}
+import org.apache.spark.{TaskContext, Partition}
 
 
 private[spark]
diff --git a/core/src/main/scala/spark/rdd/GlommedRDD.scala b/core/src/main/scala/org/apache/spark/rdd/GlommedRDD.scala
index 1573f8a289..829545d7b0 100644
--- a/core/src/main/scala/spark/rdd/GlommedRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/GlommedRDD.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
-import spark.{RDD, Partition, TaskContext}
+import org.apache.spark.{Partition, TaskContext}
 
 private[spark] class GlommedRDD[T: ClassManifest](prev: RDD[T])
   extends RDD[Array[T]](prev) {
diff --git a/core/src/main/scala/spark/rdd/HadoopRDD.scala b/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala
index e512423fd6..2cb6734e41 100644
--- a/core/src/main/scala/spark/rdd/HadoopRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala
@@ -15,25 +15,19 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
 import java.io.EOFException
-import java.util.NoSuchElementException
 
-import org.apache.hadoop.io.LongWritable
-import org.apache.hadoop.io.NullWritable
-import org.apache.hadoop.io.Text
-import org.apache.hadoop.mapred.FileInputFormat
 import org.apache.hadoop.mapred.InputFormat
 import org.apache.hadoop.mapred.InputSplit
 import org.apache.hadoop.mapred.JobConf
-import org.apache.hadoop.mapred.TextInputFormat
 import org.apache.hadoop.mapred.RecordReader
 import org.apache.hadoop.mapred.Reporter
 import org.apache.hadoop.util.ReflectionUtils
 
-import spark.{Dependency, Logging, Partition, RDD, SerializableWritable, SparkContext, SparkEnv, TaskContext}
-import spark.util.NextIterator
+import org.apache.spark.{Logging, Partition, SerializableWritable, SparkContext, SparkEnv, TaskContext}
+import org.apache.spark.util.NextIterator
 import org.apache.hadoop.conf.{Configuration, Configurable}
 
 
diff --git a/core/src/main/scala/spark/rdd/JdbcRDD.scala b/core/src/main/scala/org/apache/spark/rdd/JdbcRDD.scala
index 59132437d2..aca0146884 100644
--- a/core/src/main/scala/spark/rdd/JdbcRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/JdbcRDD.scala
@@ -15,12 +15,12 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
 import java.sql.{Connection, ResultSet}
 
-import spark.{Logging, Partition, RDD, SparkContext, TaskContext}
-import spark.util.NextIterator
+import org.apache.spark.{Logging, Partition, SparkContext, TaskContext}
+import org.apache.spark.util.NextIterator
 
 private[spark] class JdbcPartition(idx: Int, val lower: Long, val upper: Long) extends Partition {
   override def index = idx
diff --git a/core/src/main/scala/spark/rdd/MapPartitionsRDD.scala b/core/src/main/scala/org/apache/spark/rdd/MapPartitionsRDD.scala
index af8f0a112f..203179c4ea 100644
--- a/core/src/main/scala/spark/rdd/MapPartitionsRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/MapPartitionsRDD.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
-import spark.{RDD, Partition, TaskContext}
+import org.apache.spark.{Partition, TaskContext}
 
 
 private[spark]
diff --git a/core/src/main/scala/spark/rdd/MapPartitionsWithIndexRDD.scala b/core/src/main/scala/org/apache/spark/rdd/MapPartitionsWithIndexRDD.scala
index 3b4e9518fd..3ed8339010 100644
--- a/core/src/main/scala/spark/rdd/MapPartitionsWithIndexRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/MapPartitionsWithIndexRDD.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
-import spark.{RDD, Partition, TaskContext}
+import org.apache.spark.{Partition, TaskContext}
 
 
 /**
diff --git a/core/src/main/scala/spark/rdd/MappedRDD.scala b/core/src/main/scala/org/apache/spark/rdd/MappedRDD.scala
index 8b411dd85d..e8be1c4816 100644
--- a/core/src/main/scala/spark/rdd/MappedRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/MappedRDD.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
-import spark.{RDD, Partition, TaskContext}
+import org.apache.spark.{Partition, TaskContext}
 
 private[spark]
 class MappedRDD[U: ClassManifest, T: ClassManifest](prev: RDD[T], f: T => U)
diff --git a/core/src/main/scala/spark/rdd/MappedValuesRDD.scala b/core/src/main/scala/org/apache/spark/rdd/MappedValuesRDD.scala
index 8334e3b557..d33c1af581 100644
--- a/core/src/main/scala/spark/rdd/MappedValuesRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/MappedValuesRDD.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
 
-import spark.{TaskContext, Partition, RDD}
+import org.apache.spark.{TaskContext, Partition}
 
 private[spark]
 class MappedValuesRDD[K, V, U](prev: RDD[_ <: Product2[K, V]], f: V => U)
diff --git a/core/src/main/scala/spark/rdd/NewHadoopRDD.scala b/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala
index b1877dc06e..7b3a89f7e0 100644
--- a/core/src/main/scala/spark/rdd/NewHadoopRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
 import java.text.SimpleDateFormat
 import java.util.Date
@@ -24,7 +24,7 @@ import org.apache.hadoop.conf.{Configurable, Configuration}
 import org.apache.hadoop.io.Writable
 import org.apache.hadoop.mapreduce._
 
-import spark.{Dependency, Logging, Partition, RDD, SerializableWritable, SparkContext, TaskContext}
+import org.apache.spark.{Dependency, Logging, Partition, SerializableWritable, SparkContext, TaskContext}
 
 
 private[spark]
diff --git a/core/src/main/scala/spark/rdd/OrderedRDDFunctions.scala b/core/src/main/scala/org/apache/spark/rdd/OrderedRDDFunctions.scala
index 9154b76035..697be8b997 100644
--- a/core/src/main/scala/spark/rdd/OrderedRDDFunctions.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/OrderedRDDFunctions.scala
@@ -15,14 +15,15 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
-import spark.{RangePartitioner, Logging, RDD}
+import org.apache.spark.{RangePartitioner, Logging}
 
 /**
  * Extra functions available on RDDs of (key, value) pairs where the key is sortable through
- * an implicit conversion. Import `spark.SparkContext._` at the top of your program to use these
- * functions. They will work with any key type that has a `scala.math.Ordered` implementation.
+ * an implicit conversion. Import `org.apache.spark.SparkContext._` at the top of your program to
+ * use these functions. They will work with any key type that has a `scala.math.Ordered`
+ * implementation.
  */
 class OrderedRDDFunctions[K <% Ordered[K]: ClassManifest,
                           V: ClassManifest,
diff --git a/core/src/main/scala/spark/PairRDDFunctions.scala b/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala
index cc1285dd95..a47c512275 100644
--- a/core/src/main/scala/spark/PairRDDFunctions.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala
@@ -15,40 +15,40 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark.rdd
 
 import java.nio.ByteBuffer
-import java.util.{Date, HashMap => JHashMap}
+import java.util.Date
 import java.text.SimpleDateFormat
+import java.util.{HashMap => JHashMap}
 
 import scala.collection.{mutable, Map}
 import scala.collection.mutable.ArrayBuffer
 import scala.collection.JavaConversions._
 
+import org.apache.hadoop.mapred._
+import org.apache.hadoop.io.compress.CompressionCodec
 import org.apache.hadoop.conf.Configuration
 import org.apache.hadoop.fs.Path
-import org.apache.hadoop.io.compress.CompressionCodec
 import org.apache.hadoop.io.SequenceFile.CompressionType
-import org.apache.hadoop.mapred.FileOutputCommitter
 import org.apache.hadoop.mapred.FileOutputFormat
-import org.apache.hadoop.mapred.SparkHadoopWriter
-import org.apache.hadoop.mapred.JobConf
 import org.apache.hadoop.mapred.OutputFormat
-
+import org.apache.hadoop.mapreduce.{OutputFormat => NewOutputFormat}
 import org.apache.hadoop.mapreduce.lib.output.{FileOutputFormat => NewFileOutputFormat}
-import org.apache.hadoop.mapreduce.{OutputFormat => NewOutputFormat,
-    RecordWriter => NewRecordWriter, Job => NewAPIHadoopJob, SparkHadoopMapReduceUtil}
-import org.apache.hadoop.security.UserGroupInformation
+import org.apache.hadoop.mapreduce.SparkHadoopMapReduceUtil
+import org.apache.hadoop.mapreduce.{Job => NewAPIHadoopJob}
+import org.apache.hadoop.mapreduce.{RecordWriter => NewRecordWriter}
 
-import spark.partial.BoundedDouble
-import spark.partial.PartialResult
-import spark.rdd._
-import spark.SparkContext._
-import spark.Partitioner._
+import org.apache.spark._
+import org.apache.spark.SparkContext._
+import org.apache.spark.partial.{BoundedDouble, PartialResult}
+import org.apache.spark.Aggregator
+import org.apache.spark.Partitioner
+import org.apache.spark.Partitioner.defaultPartitioner
 
 /**
  * Extra functions available on RDDs of (key, value) pairs through an implicit conversion.
- * Import `spark.SparkContext._` at the top of your program to use these functions.
+ * Import `org.apache.spark.SparkContext._` at the top of your program to use these functions.
  */
 class PairRDDFunctions[K: ClassManifest, V: ClassManifest](self: RDD[(K, V)])
   extends Logging
@@ -559,7 +559,7 @@ class PairRDDFunctions[K: ClassManifest, V: ClassManifest](self: RDD[(K, V)])
     val formatter = new SimpleDateFormat("yyyyMMddHHmm")
     val jobtrackerID = formatter.format(new Date())
     val stageId = self.id
-    def writeShard(context: spark.TaskContext, iter: Iterator[(K,V)]): Int = {
+    def writeShard(context: TaskContext, iter: Iterator[(K,V)]): Int = {
       // Hadoop wants a 32-bit task attempt ID, so if ours is bigger than Int.MaxValue, roll it
       // around by taking a mod. We expect that no task will be attempted 2 billion times.
       val attemptNumber = (context.attemptId % Int.MaxValue).toInt
@@ -571,7 +571,7 @@ class PairRDDFunctions[K: ClassManifest, V: ClassManifest](self: RDD[(K, V)])
       committer.setupTask(hadoopContext)
       val writer = format.getRecordWriter(hadoopContext).asInstanceOf[NewRecordWriter[K,V]]
       while (iter.hasNext) {
-        val (k, v) = iter.next
+        val (k, v) = iter.next()
         writer.write(k, v)
       }
       writer.close(hadoopContext)
@@ -697,7 +697,6 @@ class PairRDDFunctions[K: ClassManifest, V: ClassManifest](self: RDD[(K, V)])
   private[spark] def getValueClass() = implicitly[ClassManifest[V]].erasure
 }
 
-
 private[spark] object Manifests {
   val seqSeqManifest = classManifest[Seq[Seq[_]]]
 }
diff --git a/core/src/main/scala/spark/rdd/ParallelCollectionRDD.scala b/core/src/main/scala/org/apache/spark/rdd/ParallelCollectionRDD.scala
index 33079cd539..6dbd4309aa 100644
--- a/core/src/main/scala/spark/rdd/ParallelCollectionRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/ParallelCollectionRDD.scala
@@ -15,14 +15,16 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
 import scala.collection.immutable.NumericRange
 import scala.collection.mutable.ArrayBuffer
 import scala.collection.Map
-import spark._
+import org.apache.spark._
 import java.io._
 import scala.Serializable
+import org.apache.spark.serializer.JavaSerializer
+import org.apache.spark.util.Utils
 
 private[spark] class ParallelCollectionPartition[T: ClassManifest](
     var rddId: Long,
diff --git a/core/src/main/scala/spark/rdd/PartitionPruningRDD.scala b/core/src/main/scala/org/apache/spark/rdd/PartitionPruningRDD.scala
index d8700becb0..165cd412fc 100644
--- a/core/src/main/scala/spark/rdd/PartitionPruningRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/PartitionPruningRDD.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
-import spark.{NarrowDependency, RDD, SparkEnv, Partition, TaskContext}
+import org.apache.spark.{NarrowDependency, SparkEnv, Partition, TaskContext}
 
 
 class PartitionPruningRDDPartition(idx: Int, val parentSplit: Partition) extends Partition {
diff --git a/core/src/main/scala/spark/rdd/PipedRDD.scala b/core/src/main/scala/org/apache/spark/rdd/PipedRDD.scala
index 2cefdc78b0..d5304ab0ae 100644
--- a/core/src/main/scala/spark/rdd/PipedRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/PipedRDD.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
 import java.io.PrintWriter
 import java.util.StringTokenizer
@@ -25,8 +25,8 @@ import scala.collection.JavaConversions._
 import scala.collection.mutable.ArrayBuffer
 import scala.io.Source
 
-import spark.{RDD, SparkEnv, Partition, TaskContext}
-import spark.broadcast.Broadcast
+import org.apache.spark.{SparkEnv, Partition, TaskContext}
+import org.apache.spark.broadcast.Broadcast
 
 
 /**
diff --git a/core/src/main/scala/spark/RDD.scala b/core/src/main/scala/org/apache/spark/rdd/RDD.scala
index 25a6951732..e143ecd096 100644
--- a/core/src/main/scala/spark/RDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/RDD.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark.rdd
 
 import java.util.Random
 
@@ -31,43 +31,28 @@ import org.apache.hadoop.mapred.TextOutputFormat
 
 import it.unimi.dsi.fastutil.objects.{Object2LongOpenHashMap => OLMap}
 
-import spark.Partitioner._
-import spark.api.java.JavaRDD
-import spark.partial.BoundedDouble
-import spark.partial.CountEvaluator
-import spark.partial.GroupedCountEvaluator
-import spark.partial.PartialResult
-import spark.rdd.CoalescedRDD
-import spark.rdd.CartesianRDD
-import spark.rdd.FilteredRDD
-import spark.rdd.FlatMappedRDD
-import spark.rdd.GlommedRDD
-import spark.rdd.MappedRDD
-import spark.rdd.MapPartitionsRDD
-import spark.rdd.MapPartitionsWithIndexRDD
-import spark.rdd.PipedRDD
-import spark.rdd.SampledRDD
-import spark.rdd.ShuffledRDD
-import spark.rdd.UnionRDD
-import spark.rdd.ZippedRDD
-import spark.rdd.ZippedPartitionsRDD2
-import spark.rdd.ZippedPartitionsRDD3
-import spark.rdd.ZippedPartitionsRDD4
-import spark.storage.StorageLevel
-import spark.util.BoundedPriorityQueue
-
-import SparkContext._
+import org.apache.spark.Partitioner._
+import org.apache.spark.api.java.JavaRDD
+import org.apache.spark.partial.BoundedDouble
+import org.apache.spark.partial.CountEvaluator
+import org.apache.spark.partial.GroupedCountEvaluator
+import org.apache.spark.partial.PartialResult
+import org.apache.spark.storage.StorageLevel
+import org.apache.spark.util.{Utils, BoundedPriorityQueue}
+
+import org.apache.spark.SparkContext._
+import org.apache.spark._
 
 /**
  * A Resilient Distributed Dataset (RDD), the basic abstraction in Spark. Represents an immutable,
  * partitioned collection of elements that can be operated on in parallel. This class contains the
  * basic operations available on all RDDs, such as `map`, `filter`, and `persist`. In addition,
- * [[spark.PairRDDFunctions]] contains operations available only on RDDs of key-value pairs, such
- * as `groupByKey` and `join`; [[spark.DoubleRDDFunctions]] contains operations available only on
- * RDDs of Doubles; and [[spark.SequenceFileRDDFunctions]] contains operations available on RDDs
- * that can be saved as SequenceFiles. These operations are automatically available on any RDD of
- * the right type (e.g. RDD[(Int, Int)] through implicit conversions when you
- * `import spark.SparkContext._`.
+ * [[org.apache.spark.rdd.PairRDDFunctions]] contains operations available only on RDDs of key-value
+ * pairs, such as `groupByKey` and `join`; [[org.apache.spark.rdd.DoubleRDDFunctions]] contains
+ * operations available only on RDDs of Doubles; and [[org.apache.spark.rdd.SequenceFileRDDFunctions]]
+ * contains operations available on RDDs that can be saved as SequenceFiles. These operations are
+ * automatically available on any RDD of the right type (e.g. RDD[(Int, Int)] through implicit
+ * conversions when you `import org.apache.spark.SparkContext._`.
  *
  * Internally, each RDD is characterized by five main properties:
  *
@@ -893,7 +878,7 @@ abstract class RDD[T: ClassManifest](
     dependencies.head.rdd.asInstanceOf[RDD[U]]
   }
 
-  /** The [[spark.SparkContext]] that this RDD was created on. */
+  /** The [[org.apache.spark.SparkContext]] that this RDD was created on. */
   def context = sc
 
   // Avoid handling doCheckpoint multiple times to prevent excessive recursion
@@ -929,7 +914,7 @@ abstract class RDD[T: ClassManifest](
    * Clears the dependencies of this RDD. This method must ensure that all references
    * to the original parent RDDs is removed to enable the parent RDDs to be garbage
    * collected. Subclasses of RDD may override this method for implementing their own cleaning
-   * logic. See [[spark.rdd.UnionRDD]] for an example.
+   * logic. See [[org.apache.spark.rdd.UnionRDD]] for an example.
    */
   protected def clearDependencies() {
     dependencies_ = null
diff --git a/core/src/main/scala/spark/RDDCheckpointData.scala b/core/src/main/scala/org/apache/spark/rdd/RDDCheckpointData.scala
index b615f820eb..6009a41570 100644
--- a/core/src/main/scala/spark/RDDCheckpointData.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/RDDCheckpointData.scala
@@ -15,12 +15,13 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark.rdd
 
 import org.apache.hadoop.fs.Path
 import org.apache.hadoop.conf.Configuration
-import rdd.{CheckpointRDD, CoalescedRDD}
-import scheduler.{ResultTask, ShuffleMapTask}
+
+import org.apache.spark.{Partition, SparkException, Logging}
+import org.apache.spark.scheduler.{ResultTask, ShuffleMapTask}
 
 /**
  * Enumeration to manage state transitions of an RDD through checkpointing
diff --git a/core/src/main/scala/spark/rdd/SampledRDD.scala b/core/src/main/scala/org/apache/spark/rdd/SampledRDD.scala
index 574c9b141d..2c5253ae30 100644
--- a/core/src/main/scala/spark/rdd/SampledRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/SampledRDD.scala
@@ -15,14 +15,14 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
 import java.util.Random
 
 import cern.jet.random.Poisson
 import cern.jet.random.engine.DRand
 
-import spark.{RDD, Partition, TaskContext}
+import org.apache.spark.{Partition, TaskContext}
 
 private[spark]
 class SampledRDDPartition(val prev: Partition, val seed: Int) extends Partition with Serializable {
diff --git a/core/src/main/scala/spark/SequenceFileRDDFunctions.scala b/core/src/main/scala/org/apache/spark/rdd/SequenceFileRDDFunctions.scala
index 9f30b7f22f..5fe4676029 100644
--- a/core/src/main/scala/spark/SequenceFileRDDFunctions.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/SequenceFileRDDFunctions.scala
@@ -15,40 +15,22 @@
  * limitations under the License.
  */
 
-package spark
-
-import java.io.EOFException
-import java.net.URL
-import java.io.ObjectInputStream
-import java.util.concurrent.atomic.AtomicLong
-import java.util.HashSet
-import java.util.Random
-import java.util.Date
-
-import scala.collection.mutable.ArrayBuffer
-import scala.collection.mutable.Map
-import scala.collection.mutable.HashMap
+package org.apache.spark.rdd
 
 import org.apache.hadoop.mapred.JobConf
-import org.apache.hadoop.mapred.OutputFormat
-import org.apache.hadoop.mapred.TextOutputFormat
 import org.apache.hadoop.mapred.SequenceFileOutputFormat
-import org.apache.hadoop.mapred.OutputCommitter
-import org.apache.hadoop.mapred.FileOutputCommitter
 import org.apache.hadoop.io.compress.CompressionCodec
 import org.apache.hadoop.io.Writable
-import org.apache.hadoop.io.NullWritable
-import org.apache.hadoop.io.BytesWritable
-import org.apache.hadoop.io.Text
 
-import spark.SparkContext._
+import org.apache.spark.SparkContext._
+import org.apache.spark.Logging
 
 /**
  * Extra functions available on RDDs of (key, value) pairs to create a Hadoop SequenceFile,
  * through an implicit conversion. Note that this can't be part of PairRDDFunctions because
  * we need more implicit parameters to convert our keys and values to Writable.
  *
- * Users should import `spark.SparkContext._` at the top of their program to use these functions.
+ * Import `org.apache.spark.SparkContext._` at the top of their program to use these functions.
  */
 class SequenceFileRDDFunctions[K <% Writable: ClassManifest, V <% Writable : ClassManifest](
     self: RDD[(K, V)])
diff --git a/core/src/main/scala/spark/rdd/ShuffledRDD.scala b/core/src/main/scala/org/apache/spark/rdd/ShuffledRDD.scala
index 51c05af064..9537152335 100644
--- a/core/src/main/scala/spark/rdd/ShuffledRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/ShuffledRDD.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
-import spark.{Dependency, Partitioner, RDD, SparkEnv, ShuffleDependency, Partition, TaskContext}
+import org.apache.spark.{Dependency, Partitioner, SparkEnv, ShuffleDependency, Partition, TaskContext}
 
 
 private[spark] class ShuffledRDDPartition(val idx: Int) extends Partition {
diff --git a/core/src/main/scala/spark/rdd/SubtractedRDD.scala b/core/src/main/scala/org/apache/spark/rdd/SubtractedRDD.scala
index dadef5e17d..8c1a29dfff 100644
--- a/core/src/main/scala/spark/rdd/SubtractedRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/SubtractedRDD.scala
@@ -15,19 +15,18 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
 import java.util.{HashMap => JHashMap}
 import scala.collection.JavaConversions._
 import scala.collection.mutable.ArrayBuffer
-import spark.RDD
-import spark.Partitioner
-import spark.Dependency
-import spark.TaskContext
-import spark.Partition
-import spark.SparkEnv
-import spark.ShuffleDependency
-import spark.OneToOneDependency
+import org.apache.spark.Partitioner
+import org.apache.spark.Dependency
+import org.apache.spark.TaskContext
+import org.apache.spark.Partition
+import org.apache.spark.SparkEnv
+import org.apache.spark.ShuffleDependency
+import org.apache.spark.OneToOneDependency
 
 
 /**
diff --git a/core/src/main/scala/spark/rdd/UnionRDD.scala b/core/src/main/scala/org/apache/spark/rdd/UnionRDD.scala
index 2776826f18..ae8a9f36a6 100644
--- a/core/src/main/scala/spark/rdd/UnionRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/UnionRDD.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
 import scala.collection.mutable.ArrayBuffer
-import spark.{Dependency, RangeDependency, RDD, SparkContext, Partition, TaskContext}
+import org.apache.spark.{Dependency, RangeDependency, SparkContext, Partition, TaskContext}
 import java.io.{ObjectOutputStream, IOException}
 
 private[spark] class UnionPartition[T: ClassManifest](idx: Int, rdd: RDD[T], splitIndex: Int)
diff --git a/core/src/main/scala/spark/rdd/ZippedPartitionsRDD.scala b/core/src/main/scala/org/apache/spark/rdd/ZippedPartitionsRDD.scala
index 9a0831bd89..31e6fd519d 100644
--- a/core/src/main/scala/spark/rdd/ZippedPartitionsRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/ZippedPartitionsRDD.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
-import spark.{Utils, OneToOneDependency, RDD, SparkContext, Partition, TaskContext}
+import org.apache.spark.{OneToOneDependency, SparkContext, Partition, TaskContext}
 import java.io.{ObjectOutputStream, IOException}
 
 private[spark] class ZippedPartitionsPartition(
diff --git a/core/src/main/scala/spark/rdd/ZippedRDD.scala b/core/src/main/scala/org/apache/spark/rdd/ZippedRDD.scala
index 4074e50e44..567b67dfee 100644
--- a/core/src/main/scala/spark/rdd/ZippedRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/ZippedRDD.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
-import spark.{Utils, OneToOneDependency, RDD, SparkContext, Partition, TaskContext}
+import org.apache.spark.{OneToOneDependency, SparkContext, Partition, TaskContext}
 import java.io.{ObjectOutputStream, IOException}
 
 
diff --git a/core/src/main/scala/spark/scheduler/ActiveJob.scala b/core/src/main/scala/org/apache/spark/scheduler/ActiveJob.scala
index fecc3e9648..0b04607d01 100644
--- a/core/src/main/scala/spark/scheduler/ActiveJob.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/ActiveJob.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
-import spark.TaskContext
+import org.apache.spark.TaskContext
 
 import java.util.Properties
 
diff --git a/core/src/main/scala/spark/scheduler/DAGScheduler.scala b/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
index 7275bd346a..92add5b073 100644
--- a/core/src/main/scala/spark/scheduler/DAGScheduler.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
 import java.io.NotSerializableException
 import java.util.Properties
@@ -24,12 +24,13 @@ import java.util.concurrent.atomic.AtomicInteger
 
 import scala.collection.mutable.{ArrayBuffer, HashMap, HashSet, Map}
 
-import spark._
-import spark.executor.TaskMetrics
-import spark.partial.{ApproximateActionListener, ApproximateEvaluator, PartialResult}
-import spark.scheduler.cluster.TaskInfo
-import spark.storage.{BlockManager, BlockManagerMaster}
-import spark.util.{MetadataCleaner, TimeStampedHashMap}
+import org.apache.spark._
+import org.apache.spark.rdd.RDD
+import org.apache.spark.executor.TaskMetrics
+import org.apache.spark.partial.{ApproximateActionListener, ApproximateEvaluator, PartialResult}
+import org.apache.spark.scheduler.cluster.TaskInfo
+import org.apache.spark.storage.{BlockManager, BlockManagerMaster}
+import org.apache.spark.util.{MetadataCleaner, TimeStampedHashMap}
 
 /**
  * The high-level scheduling layer that implements stage-oriented scheduling. It computes a DAG of
diff --git a/core/src/main/scala/spark/scheduler/DAGSchedulerEvent.scala b/core/src/main/scala/org/apache/spark/scheduler/DAGSchedulerEvent.scala
index b8ba0e9239..0d99670648 100644
--- a/core/src/main/scala/spark/scheduler/DAGSchedulerEvent.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/DAGSchedulerEvent.scala
@@ -15,15 +15,16 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
 import java.util.Properties
 
-import spark.scheduler.cluster.TaskInfo
+import org.apache.spark.scheduler.cluster.TaskInfo
 import scala.collection.mutable.Map
 
-import spark._
-import spark.executor.TaskMetrics
+import org.apache.spark._
+import org.apache.spark.rdd.RDD
+import org.apache.spark.executor.TaskMetrics
 
 /**
  * Types of events that can be handled by the DAGScheduler. The DAGScheduler uses an event queue
diff --git a/core/src/main/scala/spark/scheduler/DAGSchedulerSource.scala b/core/src/main/scala/org/apache/spark/scheduler/DAGSchedulerSource.scala
index 98c4fb7e59..22e3723ac8 100644
--- a/core/src/main/scala/spark/scheduler/DAGSchedulerSource.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/DAGSchedulerSource.scala
@@ -1,8 +1,25 @@
-package spark.scheduler
+/*
+ * 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.
+ */
+
+package org.apache.spark.scheduler
 
 import com.codahale.metrics.{Gauge,MetricRegistry}
 
-import spark.metrics.source.Source
+import org.apache.spark.metrics.source.Source
 
 private[spark] class DAGSchedulerSource(val dagScheduler: DAGScheduler) extends Source {
   val metricRegistry = new MetricRegistry()
diff --git a/core/src/main/scala/spark/scheduler/InputFormatInfo.scala b/core/src/main/scala/org/apache/spark/scheduler/InputFormatInfo.scala
index 8f1b9b29b5..370ccd183c 100644
--- a/core/src/main/scala/spark/scheduler/InputFormatInfo.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/InputFormatInfo.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
-import spark.{Logging, SparkEnv}
+import org.apache.spark.{Logging, SparkEnv}
 import scala.collection.immutable.Set
 import org.apache.hadoop.mapred.{FileInputFormat, JobConf}
 import org.apache.hadoop.security.UserGroupInformation
diff --git a/core/src/main/scala/spark/scheduler/JobListener.scala b/core/src/main/scala/org/apache/spark/scheduler/JobListener.scala
index af108b8fec..50c2b9acd6 100644
--- a/core/src/main/scala/spark/scheduler/JobListener.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/JobListener.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
 /**
  * Interface used to listen for job completion or failure events after submitting a job to the
diff --git a/core/src/main/scala/spark/scheduler/JobLogger.scala b/core/src/main/scala/org/apache/spark/scheduler/JobLogger.scala
index 1bc9fabdff..c8b78bf00a 100644
--- a/core/src/main/scala/spark/scheduler/JobLogger.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/JobLogger.scala
@@ -15,7 +15,7 @@
  * limitations under the License.

  */

 

-package spark.scheduler

+package org.apache.spark.scheduler

 

 import java.io.PrintWriter

 import java.io.File

@@ -27,9 +27,10 @@ import java.util.concurrent.LinkedBlockingQueue
 import scala.collection.mutable.{Map, HashMap, ListBuffer}

 import scala.io.Source

 

-import spark._

-import spark.executor.TaskMetrics

-import spark.scheduler.cluster.TaskInfo

+import org.apache.spark._

+import org.apache.spark.rdd.RDD

+import org.apache.spark.executor.TaskMetrics

+import org.apache.spark.scheduler.cluster.TaskInfo

 

 // Used to record runtime information for each job, including RDD graph 

 // tasks' start/stop shuffle information and information from outside

diff --git a/core/src/main/scala/spark/scheduler/JobResult.scala b/core/src/main/scala/org/apache/spark/scheduler/JobResult.scala
index a61b335152..c381348a8d 100644
--- a/core/src/main/scala/spark/scheduler/JobResult.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/JobResult.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
 /**
  * A result of a job in the DAGScheduler.
diff --git a/core/src/main/scala/spark/scheduler/JobWaiter.scala b/core/src/main/scala/org/apache/spark/scheduler/JobWaiter.scala
index 69cd161c1f..200d881799 100644
--- a/core/src/main/scala/spark/scheduler/JobWaiter.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/JobWaiter.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
 import scala.collection.mutable.ArrayBuffer
 
diff --git a/core/src/main/scala/spark/scheduler/MapStatus.scala b/core/src/main/scala/org/apache/spark/scheduler/MapStatus.scala
index 2f6a68ee85..1c61687f28 100644
--- a/core/src/main/scala/spark/scheduler/MapStatus.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/MapStatus.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
-import spark.storage.BlockManagerId
+import org.apache.spark.storage.BlockManagerId
 import java.io.{ObjectOutput, ObjectInput, Externalizable}
 
 /**
diff --git a/core/src/main/scala/spark/scheduler/ResultTask.scala b/core/src/main/scala/org/apache/spark/scheduler/ResultTask.scala
index d066df5dc1..2b007cbe82 100644
--- a/core/src/main/scala/spark/scheduler/ResultTask.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/ResultTask.scala
@@ -15,13 +15,16 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
-import spark._
 import java.io._
-import util.{MetadataCleaner, TimeStampedHashMap}
 import java.util.zip.{GZIPInputStream, GZIPOutputStream}
 
+import org.apache.spark._
+import org.apache.spark.rdd.RDD
+import org.apache.spark.rdd.RDDCheckpointData
+import org.apache.spark.util.{MetadataCleaner, TimeStampedHashMap}
+
 private[spark] object ResultTask {
 
   // A simple map between the stage id to the serialized byte array of a task.
diff --git a/core/src/main/scala/spark/scheduler/ShuffleMapTask.scala b/core/src/main/scala/org/apache/spark/scheduler/ShuffleMapTask.scala
index f2a038576b..764775fede 100644
--- a/core/src/main/scala/spark/scheduler/ShuffleMapTask.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/ShuffleMapTask.scala
@@ -15,17 +15,19 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
 import java.io._
 import java.util.zip.{GZIPInputStream, GZIPOutputStream}
 
 import scala.collection.mutable.HashMap
 
-import spark._
-import spark.executor.ShuffleWriteMetrics
-import spark.storage._
-import spark.util.{TimeStampedHashMap, MetadataCleaner}
+import org.apache.spark._
+import org.apache.spark.executor.ShuffleWriteMetrics
+import org.apache.spark.storage._
+import org.apache.spark.util.{TimeStampedHashMap, MetadataCleaner}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.rdd.RDDCheckpointData
 
 
 private[spark] object ShuffleMapTask {
diff --git a/core/src/main/scala/spark/scheduler/SparkListener.scala b/core/src/main/scala/org/apache/spark/scheduler/SparkListener.scala
index e5531011c2..c3cf4b8907 100644
--- a/core/src/main/scala/spark/scheduler/SparkListener.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/SparkListener.scala
@@ -15,13 +15,13 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
 import java.util.Properties
-import spark.scheduler.cluster.TaskInfo
-import spark.util.Distribution
-import spark.{Logging, SparkContext, TaskEndReason, Utils}
-import spark.executor.TaskMetrics
+import org.apache.spark.scheduler.cluster.TaskInfo
+import org.apache.spark.util.{Utils, Distribution}
+import org.apache.spark.{Logging, SparkContext, TaskEndReason}
+import org.apache.spark.executor.TaskMetrics
 
 sealed trait SparkListenerEvents
 
@@ -79,7 +79,7 @@ trait SparkListener {
  */
 class StatsReportListener extends SparkListener with Logging {
   override def onStageCompleted(stageCompleted: StageCompleted) {
-    import spark.scheduler.StatsReportListener._
+    import org.apache.spark.scheduler.StatsReportListener._
     implicit val sc = stageCompleted
     this.logInfo("Finished stage: " + stageCompleted.stageInfo)
     showMillisDistribution("task runtime:", (info, _) => Some(info.duration))
diff --git a/core/src/main/scala/spark/scheduler/SparkListenerBus.scala b/core/src/main/scala/org/apache/spark/scheduler/SparkListenerBus.scala
index f55ed455ed..a65e1ecd6d 100644
--- a/core/src/main/scala/spark/scheduler/SparkListenerBus.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/SparkListenerBus.scala
@@ -15,13 +15,13 @@
  * limitations under the License.

  */

 

-package spark.scheduler

+package org.apache.spark.scheduler

 

 import java.util.concurrent.LinkedBlockingQueue

 

 import scala.collection.mutable.{ArrayBuffer, SynchronizedBuffer}

 

-import spark.Logging

+import org.apache.spark.Logging

 

 /** Asynchronously passes SparkListenerEvents to registered SparkListeners. */

 private[spark] class SparkListenerBus() extends Logging {

diff --git a/core/src/main/scala/spark/scheduler/SplitInfo.scala b/core/src/main/scala/org/apache/spark/scheduler/SplitInfo.scala
index 4e3661ec5d..5b40a3eb29 100644
--- a/core/src/main/scala/spark/scheduler/SplitInfo.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/SplitInfo.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
 import collection.mutable.ArrayBuffer
 
diff --git a/core/src/main/scala/spark/scheduler/Stage.scala b/core/src/main/scala/org/apache/spark/scheduler/Stage.scala
index c599c00ac4..aa293dc6b3 100644
--- a/core/src/main/scala/spark/scheduler/Stage.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/Stage.scala
@@ -15,12 +15,11 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
-import java.net.URI
-
-import spark._
-import spark.storage.BlockManagerId
+import org.apache.spark._
+import org.apache.spark.rdd.RDD
+import org.apache.spark.storage.BlockManagerId
 
 /**
  * A stage is a set of independent tasks all computing the same function that need to run as part
diff --git a/core/src/main/scala/spark/scheduler/StageInfo.scala b/core/src/main/scala/org/apache/spark/scheduler/StageInfo.scala
index c4026f995a..72cb1c9ce8 100644
--- a/core/src/main/scala/spark/scheduler/StageInfo.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/StageInfo.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
-import spark.scheduler.cluster.TaskInfo
+import org.apache.spark.scheduler.cluster.TaskInfo
 import scala.collection._
-import spark.executor.TaskMetrics
+import org.apache.spark.executor.TaskMetrics
 
 case class StageInfo(
     val stage: Stage,
diff --git a/core/src/main/scala/spark/scheduler/Task.scala b/core/src/main/scala/org/apache/spark/scheduler/Task.scala
index 0ab2ae6cfe..598d91752a 100644
--- a/core/src/main/scala/spark/scheduler/Task.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/Task.scala
@@ -15,15 +15,15 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
-import spark.serializer.SerializerInstance
+import org.apache.spark.serializer.SerializerInstance
 import java.io.{DataInputStream, DataOutputStream}
 import java.nio.ByteBuffer
 import it.unimi.dsi.fastutil.io.FastByteArrayOutputStream
-import spark.util.ByteBufferInputStream
+import org.apache.spark.util.ByteBufferInputStream
 import scala.collection.mutable.HashMap
-import spark.executor.TaskMetrics
+import org.apache.spark.executor.TaskMetrics
 
 /**
  * A task to execute on a worker node.
diff --git a/core/src/main/scala/spark/scheduler/TaskLocation.scala b/core/src/main/scala/org/apache/spark/scheduler/TaskLocation.scala
index fea117e956..67c9a6760b 100644
--- a/core/src/main/scala/spark/scheduler/TaskLocation.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/TaskLocation.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
 /**
  * A location where a task should run. This can either be a host or a (host, executorID) pair.
diff --git a/core/src/main/scala/spark/scheduler/TaskResult.scala b/core/src/main/scala/org/apache/spark/scheduler/TaskResult.scala
index fc4856756b..5c7e5bb977 100644
--- a/core/src/main/scala/spark/scheduler/TaskResult.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/TaskResult.scala
@@ -15,14 +15,15 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
 import java.io._
 
 import scala.collection.mutable.Map
-import spark.executor.TaskMetrics
-import spark.{Utils, SparkEnv}
+import org.apache.spark.executor.TaskMetrics
+import org.apache.spark.{SparkEnv}
 import java.nio.ByteBuffer
+import org.apache.spark.util.Utils
 
 // Task result. Also contains updates to accumulator variables.
 // TODO: Use of distributed cache to return result is a hack to get around
diff --git a/core/src/main/scala/spark/scheduler/TaskScheduler.scala b/core/src/main/scala/org/apache/spark/scheduler/TaskScheduler.scala
index 4943d58e25..63be8ba3f5 100644
--- a/core/src/main/scala/spark/scheduler/TaskScheduler.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/TaskScheduler.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
-import spark.scheduler.cluster.Pool
-import spark.scheduler.cluster.SchedulingMode.SchedulingMode
+import org.apache.spark.scheduler.cluster.Pool
+import org.apache.spark.scheduler.cluster.SchedulingMode.SchedulingMode
 /**
  * Low-level task scheduler interface, implemented by both ClusterScheduler and LocalScheduler.
  * These schedulers get sets of tasks submitted to them from the DAGScheduler for each stage,
diff --git a/core/src/main/scala/spark/scheduler/TaskSchedulerListener.scala b/core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerListener.scala
index 64be50b2d0..83be051c1a 100644
--- a/core/src/main/scala/spark/scheduler/TaskSchedulerListener.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerListener.scala
@@ -15,13 +15,13 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
-import spark.scheduler.cluster.TaskInfo
+import org.apache.spark.scheduler.cluster.TaskInfo
 import scala.collection.mutable.Map
 
-import spark.TaskEndReason
-import spark.executor.TaskMetrics
+import org.apache.spark.TaskEndReason
+import org.apache.spark.executor.TaskMetrics
 
 /**
  * Interface for getting events back from the TaskScheduler.
diff --git a/core/src/main/scala/spark/scheduler/TaskSet.scala b/core/src/main/scala/org/apache/spark/scheduler/TaskSet.scala
index dc3550dd0b..c3ad325156 100644
--- a/core/src/main/scala/spark/scheduler/TaskSet.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/TaskSet.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
 import java.util.Properties
 
diff --git a/core/src/main/scala/spark/scheduler/cluster/ClusterScheduler.scala b/core/src/main/scala/org/apache/spark/scheduler/cluster/ClusterScheduler.scala
index 679d899b47..3196ab5022 100644
--- a/core/src/main/scala/spark/scheduler/cluster/ClusterScheduler.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/cluster/ClusterScheduler.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.scheduler.cluster
+package org.apache.spark.scheduler.cluster
 
 import java.lang.{Boolean => JBoolean}
 
@@ -23,10 +23,10 @@ import scala.collection.mutable.ArrayBuffer
 import scala.collection.mutable.HashMap
 import scala.collection.mutable.HashSet
 
-import spark._
-import spark.TaskState.TaskState
-import spark.scheduler._
-import spark.scheduler.cluster.SchedulingMode.SchedulingMode
+import org.apache.spark._
+import org.apache.spark.TaskState.TaskState
+import org.apache.spark.scheduler._
+import org.apache.spark.scheduler.cluster.SchedulingMode.SchedulingMode
 import java.nio.ByteBuffer
 import java.util.concurrent.atomic.AtomicLong
 import java.util.{TimerTask, Timer}
diff --git a/core/src/main/scala/spark/scheduler/cluster/ClusterTaskSetManager.scala b/core/src/main/scala/org/apache/spark/scheduler/cluster/ClusterTaskSetManager.scala
index a4d6880abb..1b31c8c57e 100644
--- a/core/src/main/scala/spark/scheduler/cluster/ClusterTaskSetManager.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/cluster/ClusterTaskSetManager.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.scheduler.cluster
+package org.apache.spark.scheduler.cluster
 
 import java.nio.ByteBuffer
 import java.util.{Arrays, NoSuchElementException}
@@ -26,15 +26,15 @@ import scala.collection.mutable.HashSet
 import scala.math.max
 import scala.math.min
 
-import spark.{FetchFailed, Logging, Resubmitted, SparkEnv, Success, TaskEndReason, TaskState, Utils}
-import spark.{ExceptionFailure, SparkException, TaskResultTooBigFailure}
-import spark.TaskState.TaskState
-import spark.scheduler._
+import org.apache.spark.{FetchFailed, Logging, Resubmitted, SparkEnv, Success, TaskEndReason, TaskState}
+import org.apache.spark.{ExceptionFailure, SparkException, TaskResultTooBigFailure}
+import org.apache.spark.TaskState.TaskState
+import org.apache.spark.scheduler._
 import scala.Some
-import spark.FetchFailed
-import spark.ExceptionFailure
-import spark.TaskResultTooBigFailure
-import spark.util.{SystemClock, Clock}
+import org.apache.spark.FetchFailed
+import org.apache.spark.ExceptionFailure
+import org.apache.spark.TaskResultTooBigFailure
+import org.apache.spark.util.{SystemClock, Clock}
 
 
 /**
diff --git a/core/src/main/scala/spark/scheduler/cluster/ExecutorLossReason.scala b/core/src/main/scala/org/apache/spark/scheduler/cluster/ExecutorLossReason.scala
index 8825f2dd24..5077b2b48b 100644
--- a/core/src/main/scala/spark/scheduler/cluster/ExecutorLossReason.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/cluster/ExecutorLossReason.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.scheduler.cluster
+package org.apache.spark.scheduler.cluster
 
-import spark.executor.ExecutorExitCode
+import org.apache.spark.executor.ExecutorExitCode
 
 /**
  * Represents an explanation for a executor or whole slave failing or exiting.
diff --git a/core/src/main/scala/spark/scheduler/cluster/Pool.scala b/core/src/main/scala/org/apache/spark/scheduler/cluster/Pool.scala
index 83708f07e1..35b32600da 100644
--- a/core/src/main/scala/spark/scheduler/cluster/Pool.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/cluster/Pool.scala
@@ -15,13 +15,13 @@
  * limitations under the License.
  */
 
-package spark.scheduler.cluster
+package org.apache.spark.scheduler.cluster
 
 import scala.collection.mutable.ArrayBuffer
 import scala.collection.mutable.HashMap
 
-import spark.Logging
-import spark.scheduler.cluster.SchedulingMode.SchedulingMode
+import org.apache.spark.Logging
+import org.apache.spark.scheduler.cluster.SchedulingMode.SchedulingMode
 
 /**
  * An Schedulable entity that represent collection of Pools or TaskSetManagers
diff --git a/core/src/main/scala/spark/scheduler/cluster/Schedulable.scala b/core/src/main/scala/org/apache/spark/scheduler/cluster/Schedulable.scala
index e77e8e4162..f4726450ec 100644
--- a/core/src/main/scala/spark/scheduler/cluster/Schedulable.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/cluster/Schedulable.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.scheduler.cluster
+package org.apache.spark.scheduler.cluster
 
-import spark.scheduler.cluster.SchedulingMode.SchedulingMode
+import org.apache.spark.scheduler.cluster.SchedulingMode.SchedulingMode
 
 import scala.collection.mutable.ArrayBuffer
 /**
diff --git a/core/src/main/scala/spark/scheduler/cluster/SchedulableBuilder.scala b/core/src/main/scala/org/apache/spark/scheduler/cluster/SchedulableBuilder.scala
index 2fc8a76a05..d04eeb6b98 100644
--- a/core/src/main/scala/spark/scheduler/cluster/SchedulableBuilder.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/cluster/SchedulableBuilder.scala
@@ -15,15 +15,15 @@
  * limitations under the License.
  */
 
-package spark.scheduler.cluster
+package org.apache.spark.scheduler.cluster
 
 import java.io.{File, FileInputStream, FileOutputStream, FileNotFoundException}
 import java.util.Properties
 
 import scala.xml.XML
 
-import spark.Logging
-import spark.scheduler.cluster.SchedulingMode.SchedulingMode
+import org.apache.spark.Logging
+import org.apache.spark.scheduler.cluster.SchedulingMode.SchedulingMode
 
 
 /**
diff --git a/core/src/main/scala/spark/scheduler/cluster/SchedulerBackend.scala b/core/src/main/scala/org/apache/spark/scheduler/cluster/SchedulerBackend.scala
index 4431744ec3..d57eb3276f 100644
--- a/core/src/main/scala/spark/scheduler/cluster/SchedulerBackend.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/cluster/SchedulerBackend.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.scheduler.cluster
+package org.apache.spark.scheduler.cluster
 
-import spark.{SparkContext, Utils}
+import org.apache.spark.{SparkContext}
 
 /**
  * A backend interface for cluster scheduling systems that allows plugging in different ones under
diff --git a/core/src/main/scala/spark/scheduler/cluster/SchedulingAlgorithm.scala b/core/src/main/scala/org/apache/spark/scheduler/cluster/SchedulingAlgorithm.scala
index 69e0ac2a6b..cbeed4731a 100644
--- a/core/src/main/scala/spark/scheduler/cluster/SchedulingAlgorithm.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/cluster/SchedulingAlgorithm.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.scheduler.cluster
+package org.apache.spark.scheduler.cluster
 
 /**
  * An interface for sort algorithm
diff --git a/core/src/main/scala/spark/scheduler/cluster/SchedulingMode.scala b/core/src/main/scala/org/apache/spark/scheduler/cluster/SchedulingMode.scala
index 55cdf4791f..34811389a0 100644
--- a/core/src/main/scala/spark/scheduler/cluster/SchedulingMode.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/cluster/SchedulingMode.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.scheduler.cluster
+package org.apache.spark.scheduler.cluster
 
 /**
  *  "FAIR" and "FIFO" determines which policy is used
diff --git a/core/src/main/scala/spark/scheduler/cluster/SparkDeploySchedulerBackend.scala b/core/src/main/scala/org/apache/spark/scheduler/cluster/SparkDeploySchedulerBackend.scala
index 8bdc1469e6..3f8a96fc47 100644
--- a/core/src/main/scala/spark/scheduler/cluster/SparkDeploySchedulerBackend.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/cluster/SparkDeploySchedulerBackend.scala
@@ -15,12 +15,13 @@
  * limitations under the License.
  */
 
-package spark.scheduler.cluster
+package org.apache.spark.scheduler.cluster
 
-import spark.{Utils, Logging, SparkContext}
-import spark.deploy.client.{Client, ClientListener}
-import spark.deploy.{Command, ApplicationDescription}
+import org.apache.spark.{Logging, SparkContext}
+import org.apache.spark.deploy.client.{Client, ClientListener}
+import org.apache.spark.deploy.{Command, ApplicationDescription}
 import scala.collection.mutable.HashMap
+import org.apache.spark.util.Utils
 
 private[spark] class SparkDeploySchedulerBackend(
     scheduler: ClusterScheduler,
@@ -45,9 +46,9 @@ private[spark] class SparkDeploySchedulerBackend(
       System.getProperty("spark.driver.host"), System.getProperty("spark.driver.port"),
       StandaloneSchedulerBackend.ACTOR_NAME)
     val args = Seq(driverUrl, "{{EXECUTOR_ID}}", "{{HOSTNAME}}", "{{CORES}}")
-    val command = Command("spark.executor.StandaloneExecutorBackend", args, sc.executorEnvs)
-    val sparkHome = sc.getSparkHome().getOrElse(
-      throw new IllegalArgumentException("must supply spark home for spark standalone"))
+    val command = Command(
+      "org.apache.spark.executor.StandaloneExecutorBackend", args, sc.executorEnvs)
+    val sparkHome = sc.getSparkHome().getOrElse(null)
     val appDesc = new ApplicationDescription(appName, maxCores, executorMemory, command, sparkHome,
         sc.ui.appHttpUIAddress)
 
diff --git a/core/src/main/scala/spark/scheduler/cluster/StandaloneClusterMessage.scala b/core/src/main/scala/org/apache/spark/scheduler/cluster/StandaloneClusterMessage.scala
index 05c29eb72f..9c36d221f6 100644
--- a/core/src/main/scala/spark/scheduler/cluster/StandaloneClusterMessage.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/cluster/StandaloneClusterMessage.scala
@@ -15,13 +15,12 @@
  * limitations under the License.
  */
 
-package spark.scheduler.cluster
+package org.apache.spark.scheduler.cluster
 
 import java.nio.ByteBuffer
 
-import spark.TaskState.TaskState
-import spark.Utils
-import spark.util.SerializableBuffer
+import org.apache.spark.TaskState.TaskState
+import org.apache.spark.util.{Utils, SerializableBuffer}
 
 
 private[spark] sealed trait StandaloneClusterMessage extends Serializable
diff --git a/core/src/main/scala/spark/scheduler/cluster/StandaloneSchedulerBackend.scala b/core/src/main/scala/org/apache/spark/scheduler/cluster/StandaloneSchedulerBackend.scala
index 3203be1029..b4ea0be415 100644
--- a/core/src/main/scala/spark/scheduler/cluster/StandaloneSchedulerBackend.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/cluster/StandaloneSchedulerBackend.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.scheduler.cluster
+package org.apache.spark.scheduler.cluster
 
 import java.util.concurrent.atomic.AtomicInteger
 
@@ -28,8 +28,9 @@ import akka.remote.{RemoteClientShutdown, RemoteClientDisconnected, RemoteClient
 import akka.util.Duration
 import akka.util.duration._
 
-import spark.{Utils, SparkException, Logging, TaskState}
-import spark.scheduler.cluster.StandaloneClusterMessages._
+import org.apache.spark.{SparkException, Logging, TaskState}
+import org.apache.spark.scheduler.cluster.StandaloneClusterMessages._
+import org.apache.spark.util.Utils
 
 /**
  * A standalone scheduler backend, which waits for standalone executors to connect to it through
diff --git a/core/src/main/scala/spark/scheduler/cluster/TaskDescription.scala b/core/src/main/scala/org/apache/spark/scheduler/cluster/TaskDescription.scala
index 187553233f..309ac2f6c9 100644
--- a/core/src/main/scala/spark/scheduler/cluster/TaskDescription.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/cluster/TaskDescription.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.scheduler.cluster
+package org.apache.spark.scheduler.cluster
 
 import java.nio.ByteBuffer
-import spark.util.SerializableBuffer
+import org.apache.spark.util.SerializableBuffer
 
 private[spark] class TaskDescription(
     val taskId: Long,
diff --git a/core/src/main/scala/spark/scheduler/cluster/TaskInfo.scala b/core/src/main/scala/org/apache/spark/scheduler/cluster/TaskInfo.scala
index c2c5522686..9685fb1a67 100644
--- a/core/src/main/scala/spark/scheduler/cluster/TaskInfo.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/cluster/TaskInfo.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.scheduler.cluster
+package org.apache.spark.scheduler.cluster
 
-import spark.Utils
+import org.apache.spark.util.Utils
 
 /**
  * Information about a running task attempt inside a TaskSet.
diff --git a/core/src/main/scala/spark/scheduler/cluster/TaskLocality.scala b/core/src/main/scala/org/apache/spark/scheduler/cluster/TaskLocality.scala
index 1c33e41f87..5d4130e14a 100644
--- a/core/src/main/scala/spark/scheduler/cluster/TaskLocality.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/cluster/TaskLocality.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.scheduler.cluster
+package org.apache.spark.scheduler.cluster
 
 
 private[spark] object TaskLocality
diff --git a/core/src/main/scala/spark/scheduler/cluster/TaskSetManager.scala b/core/src/main/scala/org/apache/spark/scheduler/cluster/TaskSetManager.scala
index 0248830b7a..648a3ef922 100644
--- a/core/src/main/scala/spark/scheduler/cluster/TaskSetManager.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/cluster/TaskSetManager.scala
@@ -15,12 +15,12 @@
  * limitations under the License.
  */
 
-package spark.scheduler.cluster
+package org.apache.spark.scheduler.cluster
 
 import java.nio.ByteBuffer
 
-import spark.TaskState.TaskState
-import spark.scheduler.TaskSet
+import org.apache.spark.TaskState.TaskState
+import org.apache.spark.scheduler.TaskSet
 
 /**
  * Tracks and schedules the tasks within a single TaskSet. This class keeps track of the status of
diff --git a/core/src/main/scala/spark/scheduler/cluster/WorkerOffer.scala b/core/src/main/scala/org/apache/spark/scheduler/cluster/WorkerOffer.scala
index 1d09bd9b03..938f62883a 100644
--- a/core/src/main/scala/spark/scheduler/cluster/WorkerOffer.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/cluster/WorkerOffer.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.scheduler.cluster
+package org.apache.spark.scheduler.cluster
 
 /**
  * Represents free resources available on an executor.
diff --git a/core/src/main/scala/spark/scheduler/local/LocalScheduler.scala b/core/src/main/scala/org/apache/spark/scheduler/local/LocalScheduler.scala
index 5be4dbd9f0..e8fa5e2f17 100644
--- a/core/src/main/scala/spark/scheduler/local/LocalScheduler.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/local/LocalScheduler.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.scheduler.local
+package org.apache.spark.scheduler.local
 
 import java.io.File
 import java.lang.management.ManagementFactory
@@ -27,13 +27,14 @@ import scala.collection.mutable.ArrayBuffer
 import scala.collection.mutable.HashMap
 import scala.collection.mutable.HashSet
 
-import spark._
-import spark.TaskState.TaskState
-import spark.executor.ExecutorURLClassLoader
-import spark.scheduler._
-import spark.scheduler.cluster._
-import spark.scheduler.cluster.SchedulingMode.SchedulingMode
+import org.apache.spark._
+import org.apache.spark.TaskState.TaskState
+import org.apache.spark.executor.ExecutorURLClassLoader
+import org.apache.spark.scheduler._
+import org.apache.spark.scheduler.cluster._
+import org.apache.spark.scheduler.cluster.SchedulingMode.SchedulingMode
 import akka.actor._
+import org.apache.spark.util.Utils
 
 /**
  * A FIFO or Fair TaskScheduler implementation that runs tasks locally in a thread pool. Optionally
diff --git a/core/src/main/scala/spark/scheduler/local/LocalTaskSetManager.scala b/core/src/main/scala/org/apache/spark/scheduler/local/LocalTaskSetManager.scala
index e237f289e3..e52cb998bd 100644
--- a/core/src/main/scala/spark/scheduler/local/LocalTaskSetManager.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/local/LocalTaskSetManager.scala
@@ -15,16 +15,16 @@
  * limitations under the License.
  */
 
-package spark.scheduler.local
+package org.apache.spark.scheduler.local
 
 import java.nio.ByteBuffer
 import scala.collection.mutable.ArrayBuffer
 import scala.collection.mutable.HashMap
 
-import spark.{ExceptionFailure, Logging, SparkEnv, Success, TaskState}
-import spark.TaskState.TaskState
-import spark.scheduler.{Task, TaskResult, TaskSet}
-import spark.scheduler.cluster.{Schedulable, TaskDescription, TaskInfo, TaskLocality, TaskSetManager}
+import org.apache.spark.{ExceptionFailure, Logging, SparkEnv, Success, TaskState}
+import org.apache.spark.TaskState.TaskState
+import org.apache.spark.scheduler.{Task, TaskResult, TaskSet}
+import org.apache.spark.scheduler.cluster.{Schedulable, TaskDescription, TaskInfo, TaskLocality, TaskSetManager}
 
 
 private[spark] class LocalTaskSetManager(sched: LocalScheduler, val taskSet: TaskSet)
diff --git a/core/src/main/scala/spark/scheduler/mesos/CoarseMesosSchedulerBackend.scala b/core/src/main/scala/org/apache/spark/scheduler/mesos/CoarseMesosSchedulerBackend.scala
index eef3ee1425..3dbe61d706 100644
--- a/core/src/main/scala/spark/scheduler/mesos/CoarseMesosSchedulerBackend.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/mesos/CoarseMesosSchedulerBackend.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.scheduler.mesos
+package org.apache.spark.scheduler.mesos
 
 import com.google.protobuf.ByteString
 
@@ -23,14 +23,14 @@ import org.apache.mesos.{Scheduler => MScheduler}
 import org.apache.mesos._
 import org.apache.mesos.Protos.{TaskInfo => MesosTaskInfo, TaskState => MesosTaskState, _}
 
-import spark.{SparkException, Utils, Logging, SparkContext}
+import org.apache.spark.{SparkException, Logging, SparkContext}
 import scala.collection.mutable.{ArrayBuffer, HashMap, HashSet}
 import scala.collection.JavaConversions._
 import java.io.File
-import spark.scheduler.cluster._
+import org.apache.spark.scheduler.cluster._
 import java.util.{ArrayList => JArrayList, List => JList}
 import java.util.Collections
-import spark.TaskState
+import org.apache.spark.TaskState
 
 /**
  * A SchedulerBackend that runs tasks on Mesos, but uses "coarse-grained" tasks, where it holds
@@ -126,14 +126,16 @@ private[spark] class CoarseMesosSchedulerBackend(
     val uri = System.getProperty("spark.executor.uri")
     if (uri == null) {
       val runScript = new File(sparkHome, "spark-class").getCanonicalPath
-      command.setValue("\"%s\" spark.executor.StandaloneExecutorBackend %s %s %s %d".format(
-        runScript, driverUrl, offer.getSlaveId.getValue, offer.getHostname, numCores))
+      command.setValue(
+        "\"%s\" org.apache.spark.executor.StandaloneExecutorBackend %s %s %s %d".format(
+          runScript, driverUrl, offer.getSlaveId.getValue, offer.getHostname, numCores))
     } else {
       // Grab everything to the first '.'. We'll use that and '*' to
       // glob the directory "correctly".
       val basename = uri.split('/').last.split('.').head
-      command.setValue("cd %s*; ./spark-class spark.executor.StandaloneExecutorBackend %s %s %s %d".format(
-        basename, driverUrl, offer.getSlaveId.getValue, offer.getHostname, numCores))
+      command.setValue(
+        "cd %s*; ./spark-class org.apache.spark.executor.StandaloneExecutorBackend %s %s %s %d".format(
+          basename, driverUrl, offer.getSlaveId.getValue, offer.getHostname, numCores))
       command.addUris(CommandInfo.URI.newBuilder().setValue(uri))
     }
     return command.build()
diff --git a/core/src/main/scala/spark/scheduler/mesos/MesosSchedulerBackend.scala b/core/src/main/scala/org/apache/spark/scheduler/mesos/MesosSchedulerBackend.scala
index f6069a5775..541f86e338 100644
--- a/core/src/main/scala/spark/scheduler/mesos/MesosSchedulerBackend.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/mesos/MesosSchedulerBackend.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.scheduler.mesos
+package org.apache.spark.scheduler.mesos
 
 import com.google.protobuf.ByteString
 
@@ -23,14 +23,15 @@ import org.apache.mesos.{Scheduler => MScheduler}
 import org.apache.mesos._
 import org.apache.mesos.Protos.{TaskInfo => MesosTaskInfo, TaskState => MesosTaskState, _}
 
-import spark.{SparkException, Utils, Logging, SparkContext}
+import org.apache.spark.{SparkException, Logging, SparkContext}
 import scala.collection.mutable.{ArrayBuffer, HashMap, HashSet}
 import scala.collection.JavaConversions._
 import java.io.File
-import spark.scheduler.cluster._
+import org.apache.spark.scheduler.cluster._
 import java.util.{ArrayList => JArrayList, List => JList}
 import java.util.Collections
-import spark.TaskState
+import org.apache.spark.TaskState
+import org.apache.spark.util.Utils
 
 /**
  * A SchedulerBackend for running fine-grained tasks on Mesos. Each Spark task is mapped to a
diff --git a/core/src/main/scala/spark/JavaSerializer.scala b/core/src/main/scala/org/apache/spark/serializer/JavaSerializer.scala
index 04c5f44e6b..4de81617b1 100644
--- a/core/src/main/scala/spark/JavaSerializer.scala
+++ b/core/src/main/scala/org/apache/spark/serializer/JavaSerializer.scala
@@ -15,13 +15,12 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark.serializer
 
 import java.io._
 import java.nio.ByteBuffer
 
-import serializer.{Serializer, SerializerInstance, DeserializationStream, SerializationStream}
-import spark.util.ByteBufferInputStream
+import org.apache.spark.util.ByteBufferInputStream
 
 private[spark] class JavaSerializationStream(out: OutputStream) extends SerializationStream {
   val objOut = new ObjectOutputStream(out)
diff --git a/core/src/main/scala/spark/KryoSerializer.scala b/core/src/main/scala/org/apache/spark/serializer/KryoSerializer.scala
index eeb2993d8a..24ef204aa1 100644
--- a/core/src/main/scala/spark/KryoSerializer.scala
+++ b/core/src/main/scala/org/apache/spark/serializer/KryoSerializer.scala
@@ -15,17 +15,74 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark.serializer
 
-import java.io._
 import java.nio.ByteBuffer
-import com.esotericsoftware.kryo.{Kryo, KryoException}
-import com.esotericsoftware.kryo.io.{Input => KryoInput, Output => KryoOutput}
+import java.io.{EOFException, InputStream, OutputStream}
+
 import com.esotericsoftware.kryo.serializers.{JavaSerializer => KryoJavaSerializer}
+import com.esotericsoftware.kryo.{KryoException, Kryo}
+import com.esotericsoftware.kryo.io.{Input => KryoInput, Output => KryoOutput}
 import com.twitter.chill.ScalaKryoInstantiator
-import serializer.{SerializerInstance, DeserializationStream, SerializationStream}
-import spark.broadcast._
-import spark.storage._
+
+import org.apache.spark.{SerializableWritable, Logging}
+import org.apache.spark.storage.{GetBlock, GotBlock, PutBlock, StorageLevel}
+
+import org.apache.spark.broadcast.HttpBroadcast
+
+/**
+ * A Spark serializer that uses the [[http://code.google.com/p/kryo/wiki/V1Documentation Kryo 1.x library]].
+ */
+class KryoSerializer extends org.apache.spark.serializer.Serializer with Logging {
+  private val bufferSize = System.getProperty("spark.kryoserializer.buffer.mb", "2").toInt * 1024 * 1024
+
+  def newKryoOutput() = new KryoOutput(bufferSize)
+
+  def newKryoInput() = new KryoInput(bufferSize)
+
+  def newKryo(): Kryo = {
+    val instantiator = new ScalaKryoInstantiator
+    val kryo = instantiator.newKryo()
+    val classLoader = Thread.currentThread.getContextClassLoader
+
+    // Register some commonly used classes
+    val toRegister: Seq[AnyRef] = Seq(
+      ByteBuffer.allocate(1),
+      StorageLevel.MEMORY_ONLY,
+      PutBlock("1", ByteBuffer.allocate(1), StorageLevel.MEMORY_ONLY),
+      GotBlock("1", ByteBuffer.allocate(1)),
+      GetBlock("1")
+    )
+
+    for (obj <- toRegister) kryo.register(obj.getClass)
+
+    // Allow sending SerializableWritable
+    kryo.register(classOf[SerializableWritable[_]], new KryoJavaSerializer())
+    kryo.register(classOf[HttpBroadcast[_]], new KryoJavaSerializer())
+
+    // Allow the user to register their own classes by setting spark.kryo.registrator
+    try {
+      Option(System.getProperty("spark.kryo.registrator")).foreach { regCls =>
+        logDebug("Running user registrator: " + regCls)
+        val reg = Class.forName(regCls, true, classLoader).newInstance().asInstanceOf[KryoRegistrator]
+        reg.registerClasses(kryo)
+      }
+    } catch {
+      case _: Exception => println("Failed to register spark.kryo.registrator")
+    }
+
+    kryo.setClassLoader(classLoader)
+
+    // Allow disabling Kryo reference tracking if user knows their object graphs don't have loops
+    kryo.setReferences(System.getProperty("spark.kryo.referenceTracking", "true").toBoolean)
+
+    kryo
+  }
+
+  def newInstance(): SerializerInstance = {
+    new KryoSerializerInstance(this)
+  }
+}
 
 private[spark]
 class KryoSerializationStream(kryo: Kryo, outStream: OutputStream) extends SerializationStream {
@@ -100,57 +157,3 @@ private[spark] class KryoSerializerInstance(ks: KryoSerializer) extends Serializ
 trait KryoRegistrator {
   def registerClasses(kryo: Kryo)
 }
-
-/**
- * A Spark serializer that uses the [[http://code.google.com/p/kryo/wiki/V1Documentation Kryo 1.x library]].
- */
-class KryoSerializer extends spark.serializer.Serializer with Logging {
-  private val bufferSize = System.getProperty("spark.kryoserializer.buffer.mb", "2").toInt * 1024 * 1024
-
-  def newKryoOutput() = new KryoOutput(bufferSize)
-
-  def newKryoInput() = new KryoInput(bufferSize)
-
-  def newKryo(): Kryo = {
-    val instantiator = new ScalaKryoInstantiator
-    val kryo = instantiator.newKryo()
-    val classLoader = Thread.currentThread.getContextClassLoader
-
-    // Register some commonly used classes
-    val toRegister: Seq[AnyRef] = Seq(
-      ByteBuffer.allocate(1),
-      StorageLevel.MEMORY_ONLY,
-      PutBlock("1", ByteBuffer.allocate(1), StorageLevel.MEMORY_ONLY),
-      GotBlock("1", ByteBuffer.allocate(1)),
-      GetBlock("1")
-    )
-
-    for (obj <- toRegister) kryo.register(obj.getClass)
-
-    // Allow sending SerializableWritable
-    kryo.register(classOf[SerializableWritable[_]], new KryoJavaSerializer())
-    kryo.register(classOf[HttpBroadcast[_]], new KryoJavaSerializer())
-
-    // Allow the user to register their own classes by setting spark.kryo.registrator
-    try {
-      Option(System.getProperty("spark.kryo.registrator")).foreach { regCls =>
-        logDebug("Running user registrator: " + regCls)
-        val reg = Class.forName(regCls, true, classLoader).newInstance().asInstanceOf[KryoRegistrator]
-        reg.registerClasses(kryo)
-      }
-    } catch {
-      case _: Exception => println("Failed to register spark.kryo.registrator")
-    }
-
-    kryo.setClassLoader(classLoader)
-
-    // Allow disabling Kryo reference tracking if user knows their object graphs don't have loops
-    kryo.setReferences(System.getProperty("spark.kryo.referenceTracking", "true").toBoolean)
-
-    kryo
-  }
-
-  def newInstance(): SerializerInstance = {
-    new KryoSerializerInstance(this)
-  }
-}
\ No newline at end of file
diff --git a/core/src/main/scala/spark/serializer/Serializer.scala b/core/src/main/scala/org/apache/spark/serializer/Serializer.scala
index dc94d42bb6..160cca4d6c 100644
--- a/core/src/main/scala/spark/serializer/Serializer.scala
+++ b/core/src/main/scala/org/apache/spark/serializer/Serializer.scala
@@ -15,19 +15,19 @@
  * limitations under the License.
  */
 
-package spark.serializer
+package org.apache.spark.serializer
 
 import java.io.{EOFException, InputStream, OutputStream}
 import java.nio.ByteBuffer
 
 import it.unimi.dsi.fastutil.io.FastByteArrayOutputStream
 
-import spark.util.ByteBufferInputStream
+import org.apache.spark.util.{NextIterator, ByteBufferInputStream}
 
 
 /**
  * A serializer. Because some serialization libraries are not thread safe, this class is used to
- * create [[spark.serializer.SerializerInstance]] objects that do the actual serialization and are
+ * create [[org.apache.spark.serializer.SerializerInstance]] objects that do the actual serialization and are
  * guaranteed to only be called from one thread at a time.
  */
 trait Serializer {
@@ -95,7 +95,7 @@ trait DeserializationStream {
    * Read the elements of this stream through an iterator. This can only be called once, as
    * reading each element will consume data from the input source.
    */
-  def asIterator: Iterator[Any] = new spark.util.NextIterator[Any] {
+  def asIterator: Iterator[Any] = new NextIterator[Any] {
     override protected def getNext() = {
       try {
         readObject[Any]()
diff --git a/core/src/main/scala/spark/serializer/SerializerManager.scala b/core/src/main/scala/org/apache/spark/serializer/SerializerManager.scala
index b7b24705a2..2955986fec 100644
--- a/core/src/main/scala/spark/serializer/SerializerManager.scala
+++ b/core/src/main/scala/org/apache/spark/serializer/SerializerManager.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.serializer
+package org.apache.spark.serializer
 
 import java.util.concurrent.ConcurrentHashMap
 
diff --git a/core/src/main/scala/spark/storage/BlockException.scala b/core/src/main/scala/org/apache/spark/storage/BlockException.scala
index 8ebfaf3cbf..290dbce4f5 100644
--- a/core/src/main/scala/spark/storage/BlockException.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockException.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.storage
+package org.apache.spark.storage
 
 private[spark]
 case class BlockException(blockId: String, message: String) extends Exception(message)
diff --git a/core/src/main/scala/spark/storage/BlockFetchTracker.scala b/core/src/main/scala/org/apache/spark/storage/BlockFetchTracker.scala
index 265e554ad8..2e0b0e6eda 100644
--- a/core/src/main/scala/spark/storage/BlockFetchTracker.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockFetchTracker.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.storage
+package org.apache.spark.storage
 
 private[spark] trait BlockFetchTracker {
   def totalBlocks : Int
diff --git a/core/src/main/scala/spark/storage/BlockFetcherIterator.scala b/core/src/main/scala/org/apache/spark/storage/BlockFetcherIterator.scala
index 568783d893..3aeda3879d 100644
--- a/core/src/main/scala/spark/storage/BlockFetcherIterator.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockFetcherIterator.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.storage
+package org.apache.spark.storage
 
 import java.nio.ByteBuffer
 import java.util.concurrent.LinkedBlockingQueue
@@ -26,13 +26,13 @@ import scala.collection.mutable.Queue
 
 import io.netty.buffer.ByteBuf
 
-import spark.Logging
-import spark.Utils
-import spark.SparkException
-import spark.network.BufferMessage
-import spark.network.ConnectionManagerId
-import spark.network.netty.ShuffleCopier
-import spark.serializer.Serializer
+import org.apache.spark.Logging
+import org.apache.spark.SparkException
+import org.apache.spark.network.BufferMessage
+import org.apache.spark.network.ConnectionManagerId
+import org.apache.spark.network.netty.ShuffleCopier
+import org.apache.spark.serializer.Serializer
+import org.apache.spark.util.Utils
 
 
 /**
diff --git a/core/src/main/scala/spark/storage/BlockManager.scala b/core/src/main/scala/org/apache/spark/storage/BlockManager.scala
index 2a6ec2a55d..60fdc5f2ee 100644
--- a/core/src/main/scala/spark/storage/BlockManager.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockManager.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.storage
+package org.apache.spark.storage
 
 import java.io.{InputStream, OutputStream}
 import java.nio.{ByteBuffer, MappedByteBuffer}
@@ -29,11 +29,11 @@ import akka.util.duration._
 
 import it.unimi.dsi.fastutil.io.FastByteArrayOutputStream
 
-import spark.{Logging, SparkEnv, SparkException, Utils}
-import spark.io.CompressionCodec
-import spark.network._
-import spark.serializer.Serializer
-import spark.util.{ByteBufferInputStream, IdGenerator, MetadataCleaner, TimeStampedHashMap}
+import org.apache.spark.{Logging, SparkEnv, SparkException}
+import org.apache.spark.io.CompressionCodec
+import org.apache.spark.network._
+import org.apache.spark.serializer.Serializer
+import org.apache.spark.util._
 
 import sun.nio.ch.DirectBuffer
 
diff --git a/core/src/main/scala/spark/storage/BlockManagerId.scala b/core/src/main/scala/org/apache/spark/storage/BlockManagerId.scala
index b36a6176c0..74207f59af 100644
--- a/core/src/main/scala/spark/storage/BlockManagerId.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockManagerId.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.storage
+package org.apache.spark.storage
 
 import java.io.{Externalizable, IOException, ObjectInput, ObjectOutput}
 import java.util.concurrent.ConcurrentHashMap
-import spark.Utils
+import org.apache.spark.util.Utils
 
 /**
  * This class represent an unique identifier for a BlockManager.
@@ -92,13 +92,13 @@ private[spark] class BlockManagerId private (
 private[spark] object BlockManagerId {
 
   /**
-   * Returns a [[spark.storage.BlockManagerId]] for the given configuraiton.
+   * Returns a [[org.apache.spark.storage.BlockManagerId]] for the given configuraiton.
    *
    * @param execId ID of the executor.
    * @param host Host name of the block manager.
    * @param port Port of the block manager.
    * @param nettyPort Optional port for the Netty-based shuffle sender.
-   * @return A new [[spark.storage.BlockManagerId]].
+   * @return A new [[org.apache.spark.storage.BlockManagerId]].
    */
   def apply(execId: String, host: String, port: Int, nettyPort: Int) =
     getCachedBlockManagerId(new BlockManagerId(execId, host, port, nettyPort))
diff --git a/core/src/main/scala/spark/storage/BlockManagerMaster.scala b/core/src/main/scala/org/apache/spark/storage/BlockManagerMaster.scala
index 76128e8cff..cf463d6ffc 100644
--- a/core/src/main/scala/spark/storage/BlockManagerMaster.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockManagerMaster.scala
@@ -15,15 +15,15 @@
  * limitations under the License.
  */
 
-package spark.storage
+package org.apache.spark.storage
 
 import akka.actor.ActorRef
 import akka.dispatch.{Await, Future}
 import akka.pattern.ask
 import akka.util.Duration
 
-import spark.{Logging, SparkException}
-import spark.storage.BlockManagerMessages._
+import org.apache.spark.{Logging, SparkException}
+import org.apache.spark.storage.BlockManagerMessages._
 
 
 private[spark] class BlockManagerMaster(var driverActor: ActorRef) extends Logging {
diff --git a/core/src/main/scala/spark/storage/BlockManagerMasterActor.scala b/core/src/main/scala/org/apache/spark/storage/BlockManagerMasterActor.scala
index b7a981d101..c7b23ab094 100644
--- a/core/src/main/scala/spark/storage/BlockManagerMasterActor.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockManagerMasterActor.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.storage
+package org.apache.spark.storage
 
 import java.util.{HashMap => JHashMap}
 
@@ -28,8 +28,9 @@ import akka.pattern.ask
 import akka.util.Duration
 import akka.util.duration._
 
-import spark.{Logging, Utils, SparkException}
-import spark.storage.BlockManagerMessages._
+import org.apache.spark.{Logging, SparkException}
+import org.apache.spark.storage.BlockManagerMessages._
+import org.apache.spark.util.Utils
 
 
 /**
diff --git a/core/src/main/scala/spark/storage/BlockManagerMessages.scala b/core/src/main/scala/org/apache/spark/storage/BlockManagerMessages.scala
index 9375a9ca54..24333a179c 100644
--- a/core/src/main/scala/spark/storage/BlockManagerMessages.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockManagerMessages.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.storage
+package org.apache.spark.storage
 
 import java.io.{Externalizable, ObjectInput, ObjectOutput}
 
diff --git a/core/src/main/scala/spark/storage/BlockManagerSlaveActor.scala b/core/src/main/scala/org/apache/spark/storage/BlockManagerSlaveActor.scala
index 6e5fb43732..951503019f 100644
--- a/core/src/main/scala/spark/storage/BlockManagerSlaveActor.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockManagerSlaveActor.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.storage
+package org.apache.spark.storage
 
 import akka.actor.Actor
 
-import spark.storage.BlockManagerMessages._
+import org.apache.spark.storage.BlockManagerMessages._
 
 
 /**
diff --git a/core/src/main/scala/spark/storage/BlockManagerSource.scala b/core/src/main/scala/org/apache/spark/storage/BlockManagerSource.scala
index 2aecd1ea71..3d709cfde4 100644
--- a/core/src/main/scala/spark/storage/BlockManagerSource.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockManagerSource.scala
@@ -1,8 +1,25 @@
-package spark.storage
+/*
+ * 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.
+ */
+
+package org.apache.spark.storage
 
 import com.codahale.metrics.{Gauge,MetricRegistry}
 
-import spark.metrics.source.Source
+import org.apache.spark.metrics.source.Source
 
 
 private[spark] class BlockManagerSource(val blockManager: BlockManager) extends Source {
diff --git a/core/src/main/scala/spark/storage/BlockManagerWorker.scala b/core/src/main/scala/org/apache/spark/storage/BlockManagerWorker.scala
index 39064bce92..678c38203c 100644
--- a/core/src/main/scala/spark/storage/BlockManagerWorker.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockManagerWorker.scala
@@ -15,12 +15,13 @@
  * limitations under the License.
  */
 
-package spark.storage
+package org.apache.spark.storage
 
 import java.nio.ByteBuffer
 
-import spark.{Logging, Utils}
-import spark.network._
+import org.apache.spark.{Logging}
+import org.apache.spark.network._
+import org.apache.spark.util.Utils
 
 /**
  * A network interface for BlockManager. Each slave should have one
diff --git a/core/src/main/scala/spark/storage/BlockMessage.scala b/core/src/main/scala/org/apache/spark/storage/BlockMessage.scala
index bcce26b7c1..d8fa6a91d1 100644
--- a/core/src/main/scala/spark/storage/BlockMessage.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockMessage.scala
@@ -15,14 +15,14 @@
  * limitations under the License.
  */
 
-package spark.storage
+package org.apache.spark.storage
 
 import java.nio.ByteBuffer
 
 import scala.collection.mutable.StringBuilder
 import scala.collection.mutable.ArrayBuffer
 
-import spark.network._
+import org.apache.spark.network._
 
 private[spark] case class GetBlock(id: String)
 private[spark] case class GotBlock(id: String, data: ByteBuffer)
diff --git a/core/src/main/scala/spark/storage/BlockMessageArray.scala b/core/src/main/scala/org/apache/spark/storage/BlockMessageArray.scala
index ee2fc167d5..0aaf846b5b 100644
--- a/core/src/main/scala/spark/storage/BlockMessageArray.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockMessageArray.scala
@@ -15,14 +15,14 @@
  * limitations under the License.
  */
 
-package spark.storage
+package org.apache.spark.storage
 
 import java.nio.ByteBuffer
 
 import scala.collection.mutable.ArrayBuffer
 
-import spark._
-import spark.network._
+import org.apache.spark._
+import org.apache.spark.network._
 
 private[spark]
 class BlockMessageArray(var blockMessages: Seq[BlockMessage]) extends Seq[BlockMessage] with Logging {
diff --git a/core/src/main/scala/spark/storage/BlockObjectWriter.scala b/core/src/main/scala/org/apache/spark/storage/BlockObjectWriter.scala
index 3812009ca1..39f103297f 100644
--- a/core/src/main/scala/spark/storage/BlockObjectWriter.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockObjectWriter.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.storage
+package org.apache.spark.storage
 
 
 /**
diff --git a/core/src/main/scala/spark/storage/BlockStore.scala b/core/src/main/scala/org/apache/spark/storage/BlockStore.scala
index c8db0022b0..fa834371f4 100644
--- a/core/src/main/scala/spark/storage/BlockStore.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockStore.scala
@@ -15,12 +15,12 @@
  * limitations under the License.
  */
 
-package spark.storage
+package org.apache.spark.storage
 
 import java.nio.ByteBuffer
 import scala.collection.mutable.ArrayBuffer
 
-import spark.Logging
+import org.apache.spark.Logging
 
 /**
  * Abstract class to store blocks
diff --git a/core/src/main/scala/spark/storage/DiskStore.scala b/core/src/main/scala/org/apache/spark/storage/DiskStore.scala
index b14497157e..fc25ef0fae 100644
--- a/core/src/main/scala/spark/storage/DiskStore.scala
+++ b/core/src/main/scala/org/apache/spark/storage/DiskStore.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.storage
+package org.apache.spark.storage
 
 import java.io.{File, FileOutputStream, OutputStream, RandomAccessFile}
 import java.nio.ByteBuffer
@@ -28,12 +28,12 @@ import scala.collection.mutable.ArrayBuffer
 
 import it.unimi.dsi.fastutil.io.FastBufferedOutputStream
 
-import spark.Utils
-import spark.executor.ExecutorExitCode
-import spark.serializer.{Serializer, SerializationStream}
-import spark.Logging
-import spark.network.netty.ShuffleSender
-import spark.network.netty.PathResolver
+import org.apache.spark.executor.ExecutorExitCode
+import org.apache.spark.serializer.{Serializer, SerializationStream}
+import org.apache.spark.Logging
+import org.apache.spark.network.netty.ShuffleSender
+import org.apache.spark.network.netty.PathResolver
+import org.apache.spark.util.Utils
 
 
 /**
diff --git a/core/src/main/scala/spark/storage/MemoryStore.scala b/core/src/main/scala/org/apache/spark/storage/MemoryStore.scala
index 5a51f5cf31..3b3b2342fa 100644
--- a/core/src/main/scala/spark/storage/MemoryStore.scala
+++ b/core/src/main/scala/org/apache/spark/storage/MemoryStore.scala
@@ -15,13 +15,13 @@
  * limitations under the License.
  */
 
-package spark.storage
+package org.apache.spark.storage
 
 import java.util.LinkedHashMap
 import java.util.concurrent.ArrayBlockingQueue
-import spark.{SizeEstimator, Utils}
 import java.nio.ByteBuffer
 import collection.mutable.ArrayBuffer
+import org.apache.spark.util.{SizeEstimator, Utils}
 
 /**
  * Stores blocks in memory, either as ArrayBuffers of deserialized Java objects or as
diff --git a/core/src/main/scala/spark/storage/PutResult.scala b/core/src/main/scala/org/apache/spark/storage/PutResult.scala
index 3a0974fe15..2eba2f06b5 100644
--- a/core/src/main/scala/spark/storage/PutResult.scala
+++ b/core/src/main/scala/org/apache/spark/storage/PutResult.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.storage
+package org.apache.spark.storage
 
 import java.nio.ByteBuffer
 
diff --git a/core/src/main/scala/spark/storage/ShuffleBlockManager.scala b/core/src/main/scala/org/apache/spark/storage/ShuffleBlockManager.scala
index 8a7a6f9ed3..9da11efb57 100644
--- a/core/src/main/scala/spark/storage/ShuffleBlockManager.scala
+++ b/core/src/main/scala/org/apache/spark/storage/ShuffleBlockManager.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.storage
+package org.apache.spark.storage
 
-import spark.serializer.Serializer
+import org.apache.spark.serializer.Serializer
 
 
 private[spark]
diff --git a/core/src/main/scala/spark/storage/StorageLevel.scala b/core/src/main/scala/org/apache/spark/storage/StorageLevel.scala
index f52650988c..755f1a760e 100644
--- a/core/src/main/scala/spark/storage/StorageLevel.scala
+++ b/core/src/main/scala/org/apache/spark/storage/StorageLevel.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.storage
+package org.apache.spark.storage
 
 import java.io.{Externalizable, IOException, ObjectInput, ObjectOutput}
 
@@ -23,7 +23,7 @@ import java.io.{Externalizable, IOException, ObjectInput, ObjectOutput}
  * Flags for controlling the storage of an RDD. Each StorageLevel records whether to use memory,
  * whether to drop the RDD to disk if it falls out of memory, whether to keep the data in memory
  * in a serialized format, and whether to replicate the RDD partitions on multiple nodes.
- * The [[spark.storage.StorageLevel$]] singleton object contains some static constants for
+ * The [[org.apache.spark.storage.StorageLevel$]] singleton object contains some static constants for
  * commonly useful storage levels. To create your own storage level object, use the factor method
  * of the singleton object (`StorageLevel(...)`).
  */
diff --git a/core/src/main/scala/spark/storage/StorageUtils.scala b/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala
index 123b8f6345..2bb7715696 100644
--- a/core/src/main/scala/spark/storage/StorageUtils.scala
+++ b/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala
@@ -15,10 +15,11 @@
  * limitations under the License.
  */
 
-package spark.storage
+package org.apache.spark.storage
 
-import spark.{Utils, SparkContext}
+import org.apache.spark.{SparkContext}
 import BlockManagerMasterActor.BlockStatus
+import org.apache.spark.util.Utils
 
 private[spark]
 case class StorageStatus(blockManagerId: BlockManagerId, maxMem: Long,
diff --git a/core/src/main/scala/spark/storage/ThreadingTest.scala b/core/src/main/scala/org/apache/spark/storage/ThreadingTest.scala
index b3ab1ff4b4..f2ae8dd97d 100644
--- a/core/src/main/scala/spark/storage/ThreadingTest.scala
+++ b/core/src/main/scala/org/apache/spark/storage/ThreadingTest.scala
@@ -15,13 +15,13 @@
  * limitations under the License.
  */
 
-package spark.storage
+package org.apache.spark.storage
 
 import akka.actor._
 
-import spark.KryoSerializer
 import java.util.concurrent.ArrayBlockingQueue
 import util.Random
+import org.apache.spark.serializer.KryoSerializer
 
 /**
  * This class tests the BlockManager and MemoryStore for thread safety and
diff --git a/core/src/main/scala/spark/ui/JettyUtils.scala b/core/src/main/scala/org/apache/spark/ui/JettyUtils.scala
index f66fe39905..7211dbc7c6 100644
--- a/core/src/main/scala/spark/ui/JettyUtils.scala
+++ b/core/src/main/scala/org/apache/spark/ui/JettyUtils.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.ui
+package org.apache.spark.ui
 
 import javax.servlet.http.{HttpServletResponse, HttpServletRequest}
 
@@ -29,7 +29,7 @@ import org.eclipse.jetty.server.{Server, Request, Handler}
 import org.eclipse.jetty.server.handler.{ResourceHandler, HandlerList, ContextHandler, AbstractHandler}
 import org.eclipse.jetty.util.thread.QueuedThreadPool
 
-import spark.Logging
+import org.apache.spark.Logging
 
 
 /** Utilities for launching a web server using Jetty's HTTP Server class */
@@ -117,7 +117,6 @@ private[spark] object JettyUtils extends Logging {
 
       Try { server.start() } match {
         case s: Success[_] =>
-          sys.addShutdownHook(server.stop()) // Be kind, un-bind
           (server, server.getConnectors.head.getLocalPort)
         case f: Failure[_] =>
           server.stop()
diff --git a/core/src/main/scala/spark/ui/Page.scala b/core/src/main/scala/org/apache/spark/ui/Page.scala
index 03034a4520..b2a069a375 100644
--- a/core/src/main/scala/spark/ui/Page.scala
+++ b/core/src/main/scala/org/apache/spark/ui/Page.scala
@@ -15,6 +15,8 @@
  * limitations under the License.
  */
 
-package spark.ui
+package org.apache.spark.ui
 
-private[spark] object Page extends Enumeration { val Storage, Jobs, Environment, Executors = Value }
+private[spark] object Page extends Enumeration {
+  val Stages, Storage, Environment, Executors = Value
+}
diff --git a/core/src/main/scala/spark/ui/SparkUI.scala b/core/src/main/scala/org/apache/spark/ui/SparkUI.scala
index 16bc053c2f..5d54420e72 100644
--- a/core/src/main/scala/spark/ui/SparkUI.scala
+++ b/core/src/main/scala/org/apache/spark/ui/SparkUI.scala
@@ -15,18 +15,19 @@
  * limitations under the License.
  */
 
-package spark.ui
+package org.apache.spark.ui
 
 import javax.servlet.http.HttpServletRequest
 
 import org.eclipse.jetty.server.{Handler, Server}
 
-import spark.{Logging, SparkContext, SparkEnv, Utils}
-import spark.ui.env.EnvironmentUI
-import spark.ui.exec.ExecutorsUI
-import spark.ui.storage.BlockManagerUI
-import spark.ui.jobs.JobProgressUI
-import spark.ui.JettyUtils._
+import org.apache.spark.{Logging, SparkContext, SparkEnv}
+import org.apache.spark.ui.env.EnvironmentUI
+import org.apache.spark.ui.exec.ExecutorsUI
+import org.apache.spark.ui.storage.BlockManagerUI
+import org.apache.spark.ui.jobs.JobProgressUI
+import org.apache.spark.ui.JettyUtils._
+import org.apache.spark.util.Utils
 
 /** Top level user interface for Spark */
 private[spark] class SparkUI(sc: SparkContext) extends Logging {
@@ -85,5 +86,5 @@ private[spark] class SparkUI(sc: SparkContext) extends Logging {
 
 private[spark] object SparkUI {
   val DEFAULT_PORT = "3030"
-  val STATIC_RESOURCE_DIR = "spark/ui/static"
+  val STATIC_RESOURCE_DIR = "org/apache/spark/ui/static"
 }
diff --git a/core/src/main/scala/spark/ui/UIUtils.scala b/core/src/main/scala/org/apache/spark/ui/UIUtils.scala
index 92eff8ee6a..9190b8ac2c 100644
--- a/core/src/main/scala/spark/ui/UIUtils.scala
+++ b/core/src/main/scala/org/apache/spark/ui/UIUtils.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.ui
+package org.apache.spark.ui
 
 import scala.xml.Node
 
-import spark.SparkContext
+import org.apache.spark.SparkContext
 
 /** Utility functions for generating XML pages with spark content. */
 private[spark] object UIUtils {
@@ -39,7 +39,6 @@ private[spark] object UIUtils {
   private[spark] val executorsStr = addBaseUri("/executors")
   private[spark] val bootstrapMinCssStr = addBaseUri("/static/bootstrap.min.css")
   private[spark] val webuiCssStr = addBaseUri("/static/webui.css")
-  private[spark] val bootstrapResponsiveCssStr = addBaseUri("/static/bootstrap-responsive.min.css")
   private[spark] val sortTableStr = addBaseUri("/static/sorttable.js")
   private[spark] val sparkLogoHdStr = addBaseUri("/static/spark-logo-77x50px-hd.png")
   private[spark] val sparkLogoStr = addBaseUri("/static/spark_logo.png")
@@ -49,8 +48,8 @@ private[spark] object UIUtils {
   def headerSparkPage(content: => Seq[Node], sc: SparkContext, title: String, page: Page.Value)
   : Seq[Node] = {
     val jobs = page match {
-      case Jobs => <li class="active"><a href={stagesStr}>Jobs</a></li>
-      case _ => <li><a href={stagesStr}>Jobs</a></li>
+      case Stages => <li class="active"><a href={stagesStr}>Stages</a></li>
+      case _ => <li><a href="/stages">Stages</a></li>
     }
     val storage = page match {
       case Storage => <li class="active"><a href={storageStr}>Storage</a></li>
@@ -70,43 +69,31 @@ private[spark] object UIUtils {
         <meta http-equiv="Content-type" content="text/html; charset=utf-8" />
         <link rel="stylesheet" href={bootstrapMinCssStr} type="text/css" />
         <link rel="stylesheet" href={webuiCssStr} type="text/css" />
-        <link rel="stylesheet" href={bootstrapResponsiveCssStr} type="text/css" />
         <script src={sortTableStr}></script>
         <title>{sc.appName} - {title}</title>
-        <style type="text/css">
-          table.sortable thead {{ cursor: pointer; }}
-        </style>
       </head>
       <body>
-        <div class="container">
-
-          <div class="row">
-            <div class="span12">
-              <div class="navbar">
-                <div class="navbar-inner">
-                  <div class="container">
-                    <a href="/" class="brand"><img src={sparkLogoHdStr} /></a>
-                    <ul class="nav nav-pills">
-                      {jobs}
-                      {storage}
-                      {environment}
-                      {executors}
-                    </ul>
-                    <p class="navbar-text pull-right">Application: <strong>{sc.appName}</strong></p>
-                  </div>
-                </div>
-              </div>
-            </div>
+        <div class="navbar navbar-static-top">
+          <div class="navbar-inner">
+            <a href="/" class="brand"><img src={sparkLogoHdStr} /></a>
+            <ul class="nav">
+              {jobs}
+              {storage}
+              {environment}
+              {executors}
+            </ul>
+            <p class="navbar-text pull-right"><strong>{sc.appName}</strong> application UI</p>
           </div>
+        </div>
 
-          <div class="row" style="padding-top: 5px;">
+        <div class="container-fluid">
+          <div class="row-fluid">
             <div class="span12">
               <h3 style="vertical-align: bottom; display: inline-block;">
                 {title}
               </h3>
             </div>
           </div>
-          <hr/>
           {content}
         </div>
       </body>
@@ -119,21 +106,16 @@ private[spark] object UIUtils {
       <head>
         <meta http-equiv="Content-type" content="text/html; charset=utf-8" />
         <link rel="stylesheet" href={bootstrapMinCssStr} type="text/css" />
-        <link rel="stylesheet" href={bootstrapResponsiveCssStr} type="text/css" />
+        <link rel="stylesheet" href="/static/webui.css" type="text/css" />
         <script src={sortTableStr}></script>
         <title>{title}</title>
-        <style type="text/css">
-          table.sortable thead {{ cursor: pointer; }}
-        </style>
       </head>
       <body>
-        <div class="container">
-          <div class="row">
-            <div class="span2">
-              <img src={sparkLogoStr} />
-            </div>
-            <div class="span10">
-              <h3 style="vertical-align: bottom; margin-top: 40px; display: inline-block;">
+        <div class="container-fluid">
+          <div class="row-fluid">
+            <div class="span12">
+              <h3 style="vertical-align: middle; display: inline-block;">
+                <img src="/static/spark-logo-77x50px-hd.png" style="margin-right: 15px;" />
                 {title}
               </h3>
             </div>
diff --git a/core/src/main/scala/spark/ui/UIWorkloadGenerator.scala b/core/src/main/scala/org/apache/spark/ui/UIWorkloadGenerator.scala
index 5ff0572f0a..0ecb22d2f9 100644
--- a/core/src/main/scala/spark/ui/UIWorkloadGenerator.scala
+++ b/core/src/main/scala/org/apache/spark/ui/UIWorkloadGenerator.scala
@@ -15,13 +15,13 @@
  * limitations under the License.
  */
 
-package spark.ui
+package org.apache.spark.ui
 
 import scala.util.Random
 
-import spark.SparkContext
-import spark.SparkContext._
-import spark.scheduler.cluster.SchedulingMode
+import org.apache.spark.SparkContext
+import org.apache.spark.SparkContext._
+import org.apache.spark.scheduler.cluster.SchedulingMode
 
 
 /**
diff --git a/core/src/main/scala/spark/ui/env/EnvironmentUI.scala b/core/src/main/scala/org/apache/spark/ui/env/EnvironmentUI.scala
index b3e28ce317..c5bf2acc9e 100644
--- a/core/src/main/scala/spark/ui/env/EnvironmentUI.scala
+++ b/core/src/main/scala/org/apache/spark/ui/env/EnvironmentUI.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.ui.env
+package org.apache.spark.ui.env
 
 import javax.servlet.http.HttpServletRequest
 
@@ -25,10 +25,10 @@ import scala.xml.Node
 
 import org.eclipse.jetty.server.Handler
 
-import spark.ui.JettyUtils._
-import spark.ui.UIUtils
-import spark.ui.Page.Environment
-import spark.SparkContext
+import org.apache.spark.ui.JettyUtils._
+import org.apache.spark.ui.UIUtils
+import org.apache.spark.ui.Page.Environment
+import org.apache.spark.SparkContext
 
 
 private[spark] class EnvironmentUI(sc: SparkContext) {
@@ -78,14 +78,11 @@ private[spark] class EnvironmentUI(sc: SparkContext) {
     val content =
       <span>
         <h4>Runtime Information</h4> {jvmTable}
-        <hr/>
-        <h4>{sparkProperties.size} Spark Properties</h4>
+        <h4>Spark Properties</h4>
         {sparkPropertyTable}
-        <hr/>
-        <h4>{otherProperties.size} System Properties</h4>
+        <h4>System Properties</h4>
         {otherPropertyTable}
-        <hr/>
-        <h4>{classPath.size} Classpath Entries</h4>
+        <h4>Classpath Entries</h4>
         {classPathTable}
       </span>
 
diff --git a/core/src/main/scala/spark/ui/exec/ExecutorsUI.scala b/core/src/main/scala/org/apache/spark/ui/exec/ExecutorsUI.scala
index f97860013e..d1868dcf78 100644
--- a/core/src/main/scala/spark/ui/exec/ExecutorsUI.scala
+++ b/core/src/main/scala/org/apache/spark/ui/exec/ExecutorsUI.scala
@@ -1,4 +1,21 @@
-package spark.ui.exec
+/*
+ * 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.
+ */
+
+package org.apache.spark.ui.exec
 
 import javax.servlet.http.HttpServletRequest
 
@@ -7,13 +24,14 @@ import scala.xml.Node
 
 import org.eclipse.jetty.server.Handler
 
-import spark.{ExceptionFailure, Logging, Utils, SparkContext}
-import spark.executor.TaskMetrics
-import spark.scheduler.cluster.TaskInfo
-import spark.scheduler.{SparkListenerTaskStart, SparkListenerTaskEnd, SparkListener}
-import spark.ui.JettyUtils._
-import spark.ui.Page.Executors
-import spark.ui.UIUtils
+import org.apache.spark.{ExceptionFailure, Logging, SparkContext}
+import org.apache.spark.executor.TaskMetrics
+import org.apache.spark.scheduler.cluster.TaskInfo
+import org.apache.spark.scheduler.{SparkListenerTaskStart, SparkListenerTaskEnd, SparkListener}
+import org.apache.spark.ui.JettyUtils._
+import org.apache.spark.ui.Page.Executors
+import org.apache.spark.ui.UIUtils
+import org.apache.spark.util.Utils
 
 
 private[spark] class ExecutorsUI(val sc: SparkContext) {
@@ -62,7 +80,7 @@ private[spark] class ExecutorsUI(val sc: SparkContext) {
     val execTable = UIUtils.listingTable(execHead, execRow, execInfo)
 
     val content =
-      <div class="row">
+      <div class="row-fluid">
         <div class="span12">
           <ul class="unstyled">
             <li><strong>Memory:</strong>
@@ -78,7 +96,7 @@ private[spark] class ExecutorsUI(val sc: SparkContext) {
         </div>
       </div>;
 
-    UIUtils.headerSparkPage(content, sc, execInfo.size + " Executors", Executors)
+    UIUtils.headerSparkPage(content, sc, "Executors (" + execInfo.size + ")", Executors)
   }
 
   def getExecInfo(a: Int): Seq[String] = {
diff --git a/core/src/main/scala/spark/ui/jobs/IndexPage.scala b/core/src/main/scala/org/apache/spark/ui/jobs/IndexPage.scala
index cda6addd22..3b428effaf 100644
--- a/core/src/main/scala/spark/ui/jobs/IndexPage.scala
+++ b/core/src/main/scala/org/apache/spark/ui/jobs/IndexPage.scala
@@ -15,15 +15,15 @@
  * limitations under the License.
  */
 
-package spark.ui.jobs
+package org.apache.spark.ui.jobs
 
 import javax.servlet.http.HttpServletRequest
 
 import scala.xml.{NodeSeq, Node}
 
-import spark.scheduler.cluster.SchedulingMode
-import spark.ui.Page._
-import spark.ui.UIUtils._
+import org.apache.spark.scheduler.cluster.SchedulingMode
+import org.apache.spark.ui.Page._
+import org.apache.spark.ui.UIUtils._
 
 
 /** Page showing list of all ongoing and recently finished stages and pools*/
@@ -52,13 +52,9 @@ private[spark] class IndexPage(parent: JobProgressUI) {
        <div>
          <ul class="unstyled">
            <li>
-             <strong>Duration: </strong>
+             <strong>Total Duration: </strong>
              {parent.formatDuration(now - listener.sc.startTime)}
            </li>
-           <li>
-              <strong>CPU Time: </strong>
-              {parent.formatDuration(listener.totalTime + activeTime)}
-           </li>
            <li><strong>Scheduling Mode:</strong> {parent.sc.getSchedulingMode}</li>
            <li>
              <a href="#active"><strong>Active Stages:</strong></a>
@@ -77,18 +73,18 @@ private[spark] class IndexPage(parent: JobProgressUI) {
 
       val content = summary ++
         {if (listener.sc.getSchedulingMode == SchedulingMode.FAIR) {
-           <hr/><h4>{pools.size} Fair Scheduler Pools</h4> ++ poolTable.toNodeSeq
+           <h4>{pools.size} Fair Scheduler Pools</h4> ++ poolTable.toNodeSeq
         } else {
           Seq()
         }} ++
-        <hr/><h4 id="active">{activeStages.size} Active Stages</h4> ++
+        <h4 id="active">Active Stages ({activeStages.size})</h4> ++
         activeStagesTable.toNodeSeq++
-        <hr/><h4 id="completed">{completedStages.size} Completed Stages</h4> ++
+        <h4 id="completed">Completed Stages ({completedStages.size})</h4> ++
         completedStagesTable.toNodeSeq++
-        <hr/><h4 id ="failed">{failedStages.size} Failed Stages</h4> ++
+        <h4 id ="failed">Failed Stages ({failedStages.size})</h4> ++
         failedStagesTable.toNodeSeq
 
-      headerSparkPage(content, parent.sc, "Spark Stages", Jobs)
+      headerSparkPage(content, parent.sc, "Spark Stages", Stages)
     }
   }
 }
diff --git a/core/src/main/scala/spark/ui/jobs/JobProgressListener.scala b/core/src/main/scala/org/apache/spark/ui/jobs/JobProgressListener.scala
index 1d9767a83c..e2bcd98545 100644
--- a/core/src/main/scala/spark/ui/jobs/JobProgressListener.scala
+++ b/core/src/main/scala/org/apache/spark/ui/jobs/JobProgressListener.scala
@@ -1,12 +1,29 @@
-package spark.ui.jobs
+/*
+ * 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.
+ */
+
+package org.apache.spark.ui.jobs
 
 import scala.Seq
 import scala.collection.mutable.{ListBuffer, HashMap, HashSet}
 
-import spark.{ExceptionFailure, SparkContext, Success, Utils}
-import spark.scheduler._
-import spark.scheduler.cluster.TaskInfo
-import spark.executor.TaskMetrics
+import org.apache.spark.{ExceptionFailure, SparkContext, Success}
+import org.apache.spark.scheduler._
+import org.apache.spark.scheduler.cluster.TaskInfo
+import org.apache.spark.executor.TaskMetrics
 import collection.mutable
 
 /**
diff --git a/core/src/main/scala/spark/ui/jobs/JobProgressUI.scala b/core/src/main/scala/org/apache/spark/ui/jobs/JobProgressUI.scala
index c83f102ff3..6aecef5120 100644
--- a/core/src/main/scala/spark/ui/jobs/JobProgressUI.scala
+++ b/core/src/main/scala/org/apache/spark/ui/jobs/JobProgressUI.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.ui.jobs
+package org.apache.spark.ui.jobs
 
 import akka.util.Duration
 
@@ -28,12 +28,13 @@ import org.eclipse.jetty.server.Handler
 import scala.Seq
 import scala.collection.mutable.{HashSet, ListBuffer, HashMap, ArrayBuffer}
 
-import spark.ui.JettyUtils._
-import spark.{ExceptionFailure, SparkContext, Success, Utils}
-import spark.scheduler._
+import org.apache.spark.ui.JettyUtils._
+import org.apache.spark.{ExceptionFailure, SparkContext, Success}
+import org.apache.spark.scheduler._
 import collection.mutable
-import spark.scheduler.cluster.SchedulingMode
-import spark.scheduler.cluster.SchedulingMode.SchedulingMode
+import org.apache.spark.scheduler.cluster.SchedulingMode
+import org.apache.spark.scheduler.cluster.SchedulingMode.SchedulingMode
+import org.apache.spark.util.Utils
 
 /** Web UI showing progress status of all jobs in the given SparkContext. */
 private[spark] class JobProgressUI(val sc: SparkContext) {
diff --git a/core/src/main/scala/spark/ui/jobs/PoolPage.scala b/core/src/main/scala/org/apache/spark/ui/jobs/PoolPage.scala
index e8f80ebfce..89fffcb80d 100644
--- a/core/src/main/scala/spark/ui/jobs/PoolPage.scala
+++ b/core/src/main/scala/org/apache/spark/ui/jobs/PoolPage.scala
@@ -1,13 +1,30 @@
-package spark.ui.jobs
+/*
+ * 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.
+ */
+
+package org.apache.spark.ui.jobs
 
 import javax.servlet.http.HttpServletRequest
 
 import scala.xml.{NodeSeq, Node}
 import scala.collection.mutable.HashSet
 
-import spark.scheduler.Stage
-import spark.ui.UIUtils._
-import spark.ui.Page._
+import org.apache.spark.scheduler.Stage
+import org.apache.spark.ui.UIUtils._
+import org.apache.spark.ui.Page._
 
 /** Page showing specific pool details */
 private[spark] class PoolPage(parent: JobProgressUI) {
@@ -24,10 +41,9 @@ private[spark] class PoolPage(parent: JobProgressUI) {
       val poolTable = new PoolTable(Seq(pool), listener)
 
       val content = <h4>Summary </h4> ++ poolTable.toNodeSeq() ++
-                    <hr/>
                     <h4>{activeStages.size} Active Stages</h4> ++ activeStagesTable.toNodeSeq()
 
-      headerSparkPage(content, parent.sc, "Fair Scheduler Pool: " + poolName, Jobs)
+      headerSparkPage(content, parent.sc, "Fair Scheduler Pool: " + poolName, Stages)
     }
   }
 }
diff --git a/core/src/main/scala/spark/ui/jobs/PoolTable.scala b/core/src/main/scala/org/apache/spark/ui/jobs/PoolTable.scala
index a6bd734e29..c10ae4a372 100644
--- a/core/src/main/scala/spark/ui/jobs/PoolTable.scala
+++ b/core/src/main/scala/org/apache/spark/ui/jobs/PoolTable.scala
@@ -1,12 +1,29 @@
-package spark.ui.jobs
+/*
+ * 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.
+ */
+
+package org.apache.spark.ui.jobs
 
 import scala.collection.mutable.HashMap
 import scala.collection.mutable.HashSet
 import scala.xml.Node
 
-import spark.scheduler.Stage
-import spark.scheduler.cluster.Schedulable
-import spark.ui.UIUtils
+import org.apache.spark.scheduler.Stage
+import org.apache.spark.scheduler.cluster.Schedulable
+import org.apache.spark.ui.UIUtils
 
 /** Table showing list of pools */
 private[spark] class PoolTable(pools: Seq[Schedulable], listener: JobProgressListener) {
diff --git a/core/src/main/scala/spark/ui/jobs/StagePage.scala b/core/src/main/scala/org/apache/spark/ui/jobs/StagePage.scala
index 6948ea4dd9..a9969ab1c0 100644
--- a/core/src/main/scala/spark/ui/jobs/StagePage.scala
+++ b/core/src/main/scala/org/apache/spark/ui/jobs/StagePage.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.ui.jobs
+package org.apache.spark.ui.jobs
 
 import java.util.Date
 
@@ -23,12 +23,12 @@ import javax.servlet.http.HttpServletRequest
 
 import scala.xml.Node
 
-import spark.ui.UIUtils._
-import spark.ui.Page._
-import spark.util.Distribution
-import spark.{ExceptionFailure, Utils}
-import spark.scheduler.cluster.TaskInfo
-import spark.executor.TaskMetrics
+import org.apache.spark.ui.UIUtils._
+import org.apache.spark.ui.Page._
+import org.apache.spark.util.{Utils, Distribution}
+import org.apache.spark.{ExceptionFailure}
+import org.apache.spark.scheduler.cluster.TaskInfo
+import org.apache.spark.executor.TaskMetrics
 
 /** Page showing statistics and task list for a given stage */
 private[spark] class StagePage(parent: JobProgressUI) {
@@ -46,7 +46,7 @@ private[spark] class StagePage(parent: JobProgressUI) {
             <h4>Summary Metrics</h4> No tasks have started yet
             <h4>Tasks</h4> No tasks have started yet
           </div>
-        return headerSparkPage(content, parent.sc, "Details for Stage %s".format(stageId), Jobs)
+        return headerSparkPage(content, parent.sc, "Details for Stage %s".format(stageId), Stages)
       }
 
       val tasks = listener.stageToTaskInfos(stageId).toSeq.sortBy(_._1.launchTime)
@@ -133,9 +133,9 @@ private[spark] class StagePage(parent: JobProgressUI) {
         summary ++
         <h4>Summary Metrics for {numCompleted} Completed Tasks</h4> ++
         <div>{summaryTable.getOrElse("No tasks have reported metrics yet.")}</div> ++
-        <hr/><h4>Tasks</h4> ++ taskTable;
+        <h4>Tasks</h4> ++ taskTable;
 
-      headerSparkPage(content, parent.sc, "Details for Stage %d".format(stageId), Jobs)
+      headerSparkPage(content, parent.sc, "Details for Stage %d".format(stageId), Stages)
     }
   }
 
diff --git a/core/src/main/scala/spark/ui/jobs/StageTable.scala b/core/src/main/scala/org/apache/spark/ui/jobs/StageTable.scala
index f3d870c813..b53c5c056a 100644
--- a/core/src/main/scala/spark/ui/jobs/StageTable.scala
+++ b/core/src/main/scala/org/apache/spark/ui/jobs/StageTable.scala
@@ -1,14 +1,31 @@
-package spark.ui.jobs
+/*
+ * 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.
+ */
+
+package org.apache.spark.ui.jobs
 
 import java.util.Date
 
 import scala.xml.Node
 import scala.collection.mutable.HashSet
 
-import spark.Utils
-import spark.scheduler.cluster.{SchedulingMode, TaskInfo}
-import spark.scheduler.Stage
-import spark.ui.UIUtils
+import org.apache.spark.scheduler.cluster.{SchedulingMode, TaskInfo}
+import org.apache.spark.scheduler.Stage
+import org.apache.spark.ui.UIUtils
+import org.apache.spark.util.Utils
 
 
 /** Page showing list of all ongoing and recently finished stages */
@@ -47,7 +64,7 @@ private[spark] class StageTable(val stages: Seq[Stage], val parent: JobProgressU
     val completeWidth = "width: %s%%".format((completed.toDouble/total)*100)
     val startWidth = "width: %s%%".format((started.toDouble/total)*100)
 
-    <div class="progress" style="height: 15px; margin-bottom: 0px; position: relative">
+    <div class="progress">
       <span style="text-align:center; position:absolute; width:100%;">
         {completed}/{total} {failed}
       </span>
diff --git a/core/src/main/scala/spark/ui/storage/BlockManagerUI.scala b/core/src/main/scala/org/apache/spark/ui/storage/BlockManagerUI.scala
index 49ed069c75..1d633d374a 100644
--- a/core/src/main/scala/spark/ui/storage/BlockManagerUI.scala
+++ b/core/src/main/scala/org/apache/spark/ui/storage/BlockManagerUI.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.ui.storage
+package org.apache.spark.ui.storage
 
 import akka.util.Duration
 
@@ -23,8 +23,8 @@ import javax.servlet.http.HttpServletRequest
 
 import org.eclipse.jetty.server.Handler
 
-import spark.{Logging, SparkContext}
-import spark.ui.JettyUtils._
+import org.apache.spark.{Logging, SparkContext}
+import org.apache.spark.ui.JettyUtils._
 
 /** Web UI showing storage status of all RDD's in the given SparkContext. */
 private[spark] class BlockManagerUI(val sc: SparkContext) extends Logging {
diff --git a/core/src/main/scala/spark/ui/storage/IndexPage.scala b/core/src/main/scala/org/apache/spark/ui/storage/IndexPage.scala
index 9675f80aff..0af4b64443 100644
--- a/core/src/main/scala/spark/ui/storage/IndexPage.scala
+++ b/core/src/main/scala/org/apache/spark/ui/storage/IndexPage.scala
@@ -15,16 +15,16 @@
  * limitations under the License.
  */
 
-package spark.ui.storage
+package org.apache.spark.ui.storage
 
 import javax.servlet.http.HttpServletRequest
 
 import scala.xml.Node
 
-import spark.storage.{RDDInfo, StorageUtils}
-import spark.Utils
-import spark.ui.UIUtils._
-import spark.ui.Page._
+import org.apache.spark.storage.{RDDInfo, StorageUtils}
+import org.apache.spark.ui.UIUtils._
+import org.apache.spark.ui.Page._
+import org.apache.spark.util.Utils
 
 /** Page showing list of RDD's currently stored in the cluster */
 private[spark] class IndexPage(parent: BlockManagerUI) {
@@ -38,13 +38,13 @@ private[spark] class IndexPage(parent: BlockManagerUI) {
       "RDD Name",
       "Storage Level",
       "Cached Partitions",
-      "Fraction Partitions Cached",
+      "Fraction Cached",
       "Size in Memory",
       "Size on Disk")
     val rdds = StorageUtils.rddInfoFromStorageStatus(storageStatusList, sc)
     val content = listingTable(rddHeaders, rddRow, rdds)
 
-    headerSparkPage(content, parent.sc, "Spark Storage ", Storage)
+    headerSparkPage(content, parent.sc, "Storage ", Storage)
   }
 
   def rddRow(rdd: RDDInfo): Seq[Node] = {
@@ -57,7 +57,7 @@ private[spark] class IndexPage(parent: BlockManagerUI) {
       <td>{rdd.storageLevel.description}
       </td>
       <td>{rdd.numCachedPartitions}</td>
-      <td>{rdd.numCachedPartitions / rdd.numPartitions.toDouble}</td>
+      <td>{"%.0f%%".format(rdd.numCachedPartitions * 100.0 / rdd.numPartitions)}</td>
       <td>{Utils.bytesToString(rdd.memSize)}</td>
       <td>{Utils.bytesToString(rdd.diskSize)}</td>
     </tr>
diff --git a/core/src/main/scala/spark/ui/storage/RDDPage.scala b/core/src/main/scala/org/apache/spark/ui/storage/RDDPage.scala
index f0b711e6ec..43c1257677 100644
--- a/core/src/main/scala/spark/ui/storage/RDDPage.scala
+++ b/core/src/main/scala/org/apache/spark/ui/storage/RDDPage.scala
@@ -15,17 +15,17 @@
  * limitations under the License.
  */
 
-package spark.ui.storage
+package org.apache.spark.ui.storage
 
 import javax.servlet.http.HttpServletRequest
 
 import scala.xml.Node
 
-import spark.Utils
-import spark.storage.{StorageStatus, StorageUtils}
-import spark.storage.BlockManagerMasterActor.BlockStatus
-import spark.ui.UIUtils._
-import spark.ui.Page._
+import org.apache.spark.storage.{StorageStatus, StorageUtils}
+import org.apache.spark.storage.BlockManagerMasterActor.BlockStatus
+import org.apache.spark.ui.UIUtils._
+import org.apache.spark.ui.Page._
+import org.apache.spark.util.Utils
 
 
 /** Page showing storage details for a given RDD */
@@ -55,7 +55,7 @@ private[spark] class RDDPage(parent: BlockManagerUI) {
     val blockTable = listingTable(blockHeaders, blockRow, blocks)
 
     val content =
-      <div class="row">
+      <div class="row-fluid">
         <div class="span12">
           <ul class="unstyled">
             <li>
@@ -81,15 +81,15 @@ private[spark] class RDDPage(parent: BlockManagerUI) {
           </ul>
         </div>
       </div>
-      <hr/>
-      <div class="row">
+
+      <div class="row-fluid">
         <div class="span12">
           <h4> Data Distribution on {workers.size} Executors </h4>
           {workerTable}
         </div>
       </div>
-      <hr/>
-      <div class="row">
+
+      <div class="row-fluid">
         <div class="span12">
           <h4> {blocks.size} Partitions </h4>
           {blockTable}
diff --git a/core/src/main/scala/spark/util/AkkaUtils.scala b/core/src/main/scala/org/apache/spark/util/AkkaUtils.scala
index 9233277bdb..d4c5065c3f 100644
--- a/core/src/main/scala/spark/util/AkkaUtils.scala
+++ b/core/src/main/scala/org/apache/spark/util/AkkaUtils.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.util
+package org.apache.spark.util
 
 import akka.actor.{ActorSystem, ExtendedActorSystem}
 import com.typesafe.config.ConfigFactory
diff --git a/core/src/main/scala/spark/util/BoundedPriorityQueue.scala b/core/src/main/scala/org/apache/spark/util/BoundedPriorityQueue.scala
index 0575497f5d..0b51c23f7b 100644
--- a/core/src/main/scala/spark/util/BoundedPriorityQueue.scala
+++ b/core/src/main/scala/org/apache/spark/util/BoundedPriorityQueue.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.util
+package org.apache.spark.util
 
 import java.io.Serializable
 import java.util.{PriorityQueue => JPriorityQueue}
diff --git a/core/src/main/scala/spark/util/ByteBufferInputStream.scala b/core/src/main/scala/org/apache/spark/util/ByteBufferInputStream.scala
index 47a28e2f76..e214d2a519 100644
--- a/core/src/main/scala/spark/util/ByteBufferInputStream.scala
+++ b/core/src/main/scala/org/apache/spark/util/ByteBufferInputStream.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.util
+package org.apache.spark.util
 
 import java.io.InputStream
 import java.nio.ByteBuffer
-import spark.storage.BlockManager
+import org.apache.spark.storage.BlockManager
 
 /**
  * Reads data from a ByteBuffer, and optionally cleans it up using BlockManager.dispose()
diff --git a/core/src/main/scala/spark/util/Clock.scala b/core/src/main/scala/org/apache/spark/util/Clock.scala
index aa71a5b442..97c2b45aab 100644
--- a/core/src/main/scala/spark/util/Clock.scala
+++ b/core/src/main/scala/org/apache/spark/util/Clock.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.util
+package org.apache.spark.util
 
 /**
  * An interface to represent clocks, so that they can be mocked out in unit tests.
diff --git a/core/src/main/scala/spark/ClosureCleaner.scala b/core/src/main/scala/org/apache/spark/util/ClosureCleaner.scala
index 8b39241095..7108595e3e 100644
--- a/core/src/main/scala/spark/ClosureCleaner.scala
+++ b/core/src/main/scala/org/apache/spark/util/ClosureCleaner.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark.util
 
 import java.lang.reflect.Field
 
@@ -25,6 +25,7 @@ import scala.collection.mutable.Set
 import org.objectweb.asm.{ClassReader, ClassVisitor, MethodVisitor, Type}
 import org.objectweb.asm.Opcodes._
 import java.io.{InputStream, IOException, ByteArrayOutputStream, ByteArrayInputStream, BufferedInputStream}
+import org.apache.spark.Logging
 
 private[spark] object ClosureCleaner extends Logging {
   // Get an ASM class reader for a given class from the JAR that loaded it
diff --git a/core/src/main/scala/spark/util/CompletionIterator.scala b/core/src/main/scala/org/apache/spark/util/CompletionIterator.scala
index 210450892b..dc15a38b29 100644
--- a/core/src/main/scala/spark/util/CompletionIterator.scala
+++ b/core/src/main/scala/org/apache/spark/util/CompletionIterator.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.util
+package org.apache.spark.util
 
 /**
  * Wrapper around an iterator which calls a completion method after it successfully iterates through all the elements
diff --git a/core/src/main/scala/spark/util/Distribution.scala b/core/src/main/scala/org/apache/spark/util/Distribution.scala
index 5d4d7a6c50..33bf3562fe 100644
--- a/core/src/main/scala/spark/util/Distribution.scala
+++ b/core/src/main/scala/org/apache/spark/util/Distribution.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.util
+package org.apache.spark.util
 
 import java.io.PrintStream
 
diff --git a/core/src/main/scala/spark/util/IdGenerator.scala b/core/src/main/scala/org/apache/spark/util/IdGenerator.scala
index 3422280559..17e55f7996 100644
--- a/core/src/main/scala/spark/util/IdGenerator.scala
+++ b/core/src/main/scala/org/apache/spark/util/IdGenerator.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.util
+package org.apache.spark.util
 
 import java.util.concurrent.atomic.AtomicInteger
 
diff --git a/core/src/main/scala/spark/util/IntParam.scala b/core/src/main/scala/org/apache/spark/util/IntParam.scala
index daf0d58fa2..626bb49eea 100644
--- a/core/src/main/scala/spark/util/IntParam.scala
+++ b/core/src/main/scala/org/apache/spark/util/IntParam.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.util
+package org.apache.spark.util
 
 /**
  * An extractor object for parsing strings into integers.
diff --git a/core/src/main/scala/spark/util/MemoryParam.scala b/core/src/main/scala/org/apache/spark/util/MemoryParam.scala
index 298562323a..4869c9897a 100644
--- a/core/src/main/scala/spark/util/MemoryParam.scala
+++ b/core/src/main/scala/org/apache/spark/util/MemoryParam.scala
@@ -15,9 +15,7 @@
  * limitations under the License.
  */
 
-package spark.util
-
-import spark.Utils
+package org.apache.spark.util
 
 /**
  * An extractor object for parsing JVM memory strings, such as "10g", into an Int representing
diff --git a/core/src/main/scala/spark/util/MetadataCleaner.scala b/core/src/main/scala/org/apache/spark/util/MetadataCleaner.scala
index 92909e0959..a430a75451 100644
--- a/core/src/main/scala/spark/util/MetadataCleaner.scala
+++ b/core/src/main/scala/org/apache/spark/util/MetadataCleaner.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.util
+package org.apache.spark.util
 
 import java.util.concurrent.{TimeUnit, ScheduledFuture, Executors}
 import java.util.{TimerTask, Timer}
-import spark.Logging
+import org.apache.spark.Logging
 
 
 /**
diff --git a/core/src/main/scala/spark/util/MutablePair.scala b/core/src/main/scala/org/apache/spark/util/MutablePair.scala
index 78d404e66b..34f1f6606f 100644
--- a/core/src/main/scala/spark/util/MutablePair.scala
+++ b/core/src/main/scala/org/apache/spark/util/MutablePair.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.util
+package org.apache.spark.util
 
 
 /**
diff --git a/core/src/main/scala/spark/util/NextIterator.scala b/core/src/main/scala/org/apache/spark/util/NextIterator.scala
index 22163ece8d..8266e5e495 100644
--- a/core/src/main/scala/spark/util/NextIterator.scala
+++ b/core/src/main/scala/org/apache/spark/util/NextIterator.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.util
+package org.apache.spark.util
 
 /** Provides a basic/boilerplate Iterator implementation. */
 private[spark] abstract class NextIterator[U] extends Iterator[U] {
diff --git a/core/src/main/scala/spark/util/RateLimitedOutputStream.scala b/core/src/main/scala/org/apache/spark/util/RateLimitedOutputStream.scala
index 00f782bbe7..47e1b45004 100644
--- a/core/src/main/scala/spark/util/RateLimitedOutputStream.scala
+++ b/core/src/main/scala/org/apache/spark/util/RateLimitedOutputStream.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.util
+package org.apache.spark.util
 
 import scala.annotation.tailrec
 
diff --git a/core/src/main/scala/spark/util/SerializableBuffer.scala b/core/src/main/scala/org/apache/spark/util/SerializableBuffer.scala
index 7e6842628a..f2b1ad7d0e 100644
--- a/core/src/main/scala/spark/util/SerializableBuffer.scala
+++ b/core/src/main/scala/org/apache/spark/util/SerializableBuffer.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.util
+package org.apache.spark.util
 
 import java.nio.ByteBuffer
 import java.io.{IOException, ObjectOutputStream, EOFException, ObjectInputStream}
diff --git a/core/src/main/scala/spark/SizeEstimator.scala b/core/src/main/scala/org/apache/spark/util/SizeEstimator.scala
index 6cc57566d7..a25b37a2a9 100644
--- a/core/src/main/scala/spark/SizeEstimator.scala
+++ b/core/src/main/scala/org/apache/spark/util/SizeEstimator.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark.util
 
 import java.lang.reflect.Field
 import java.lang.reflect.Modifier
@@ -30,6 +30,7 @@ import java.lang.management.ManagementFactory
 import scala.collection.mutable.ArrayBuffer
 
 import it.unimi.dsi.fastutil.ints.IntOpenHashSet
+import org.apache.spark.Logging
 
 /**
  * Estimates the sizes of Java objects (number of bytes of memory they occupy), for use in 
diff --git a/core/src/main/scala/spark/util/StatCounter.scala b/core/src/main/scala/org/apache/spark/util/StatCounter.scala
index 76358d4151..020d5edba9 100644
--- a/core/src/main/scala/spark/util/StatCounter.scala
+++ b/core/src/main/scala/org/apache/spark/util/StatCounter.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.util
+package org.apache.spark.util
 
 /**
  * A class for tracking the statistics of a set of numbers (count, mean and variance) in a
diff --git a/core/src/main/scala/spark/util/TimeStampedHashMap.scala b/core/src/main/scala/org/apache/spark/util/TimeStampedHashMap.scala
index 07772a0afb..277de2f8a6 100644
--- a/core/src/main/scala/spark/util/TimeStampedHashMap.scala
+++ b/core/src/main/scala/org/apache/spark/util/TimeStampedHashMap.scala
@@ -15,13 +15,14 @@
  * limitations under the License.
  */
 
-package spark.util
+package org.apache.spark.util
 
 import java.util.concurrent.ConcurrentHashMap
 import scala.collection.JavaConversions
 import scala.collection.mutable.Map
 import scala.collection.immutable
-import spark.scheduler.MapStatus
+import org.apache.spark.scheduler.MapStatus
+import org.apache.spark.Logging
 
 /**
  * This is a custom implementation of scala.collection.mutable.Map which stores the insertion
@@ -29,7 +30,7 @@ import spark.scheduler.MapStatus
  * threshold time can them be removed using the clearOldValues method. This is intended to be a drop-in
  * replacement of scala.collection.mutable.HashMap.
  */
-class TimeStampedHashMap[A, B] extends Map[A, B]() with spark.Logging {
+class TimeStampedHashMap[A, B] extends Map[A, B]() with Logging {
   val internalMap = new ConcurrentHashMap[A, (B, Long)]()
 
   def get(key: A): Option[B] = {
diff --git a/core/src/main/scala/spark/util/TimeStampedHashSet.scala b/core/src/main/scala/org/apache/spark/util/TimeStampedHashSet.scala
index 41e3fd8cba..26983138ff 100644
--- a/core/src/main/scala/spark/util/TimeStampedHashSet.scala
+++ b/core/src/main/scala/org/apache/spark/util/TimeStampedHashSet.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.util
+package org.apache.spark.util
 
 import scala.collection.mutable.Set
 import scala.collection.JavaConversions
diff --git a/core/src/main/scala/spark/Utils.scala b/core/src/main/scala/org/apache/spark/util/Utils.scala
index bb8aad3f4c..bb47fc0a2c 100644
--- a/core/src/main/scala/spark/Utils.scala
+++ b/core/src/main/scala/org/apache/spark/util/Utils.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark.util
 
 import java.io._
 import java.net.{InetAddress, URL, URI, NetworkInterface, Inet4Address, ServerSocket}
@@ -33,15 +33,16 @@ import com.google.common.util.concurrent.ThreadFactoryBuilder
 
 import org.apache.hadoop.fs.{Path, FileSystem, FileUtil}
 
-import spark.serializer.{DeserializationStream, SerializationStream, SerializerInstance}
-import spark.deploy.SparkHadoopUtil
+import org.apache.spark.serializer.{DeserializationStream, SerializationStream, SerializerInstance}
+import org.apache.spark.deploy.SparkHadoopUtil
 import java.nio.ByteBuffer
+import org.apache.spark.{SparkEnv, SparkException, Logging}
 
 
 /**
  * Various utility methods used by Spark.
  */
-private object Utils extends Logging {
+private[spark] object Utils extends Logging {
 
   /** Serialize an object using Java serialization */
   def serialize[T](o: T): Array[Byte] = {
diff --git a/core/src/main/scala/spark/util/Vector.scala b/core/src/main/scala/org/apache/spark/util/Vector.scala
index a47cac3b96..fe710c58ac 100644
--- a/core/src/main/scala/spark/util/Vector.scala
+++ b/core/src/main/scala/org/apache/spark/util/Vector.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.util
+package org.apache.spark.util
 
 class Vector(val elements: Array[Double]) extends Serializable {
   def length = elements.length
@@ -130,7 +130,7 @@ object Vector {
 
   implicit def doubleToMultiplier(num: Double) = new Multiplier(num)
 
-  implicit object VectorAccumParam extends spark.AccumulatorParam[Vector] {
+  implicit object VectorAccumParam extends org.apache.spark.AccumulatorParam[Vector] {
     def addInPlace(t1: Vector, t2: Vector) = t1 + t2
 
     def zero(initialValue: Vector) = Vector.zeros(initialValue.length)
diff --git a/core/src/main/scala/spark/api/python/PythonWorkerFactory.scala b/core/src/main/scala/spark/api/python/PythonWorkerFactory.scala
deleted file mode 100644
index 14f8320678..0000000000
--- a/core/src/main/scala/spark/api/python/PythonWorkerFactory.scala
+++ /dev/null
@@ -1,132 +0,0 @@
-/*
- * 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.
- */
-
-package spark.api.python
-
-import java.io.{File, DataInputStream, IOException}
-import java.net.{Socket, SocketException, InetAddress}
-
-import scala.collection.JavaConversions._
-
-import spark._
-
-private[spark] class PythonWorkerFactory(pythonExec: String, envVars: Map[String, String])
-    extends Logging {
-  var daemon: Process = null
-  val daemonHost = InetAddress.getByAddress(Array(127, 0, 0, 1))
-  var daemonPort: Int = 0
-
-  def create(): Socket = {
-    synchronized {
-      // Start the daemon if it hasn't been started
-      startDaemon()
-
-      // Attempt to connect, restart and retry once if it fails
-      try {
-        new Socket(daemonHost, daemonPort)
-      } catch {
-        case exc: SocketException => {
-          logWarning("Python daemon unexpectedly quit, attempting to restart")
-          stopDaemon()
-          startDaemon()
-          new Socket(daemonHost, daemonPort)
-        }
-        case e => throw e
-      }
-    }
-  }
-
-  def stop() {
-    stopDaemon()
-  }
-
-  private def startDaemon() {
-    synchronized {
-      // Is it already running?
-      if (daemon != null) {
-        return
-      }
-
-      try {
-        // Create and start the daemon
-        val sparkHome = new ProcessBuilder().environment().get("SPARK_HOME")
-        val pb = new ProcessBuilder(Seq(pythonExec, sparkHome + "/python/pyspark/daemon.py"))
-        val workerEnv = pb.environment()
-        workerEnv.putAll(envVars)
-        val pythonPath = sparkHome + "/python/" + File.pathSeparator + workerEnv.get("PYTHONPATH")
-        workerEnv.put("PYTHONPATH", pythonPath)
-        daemon = pb.start()
-
-        // Redirect the stderr to ours
-        new Thread("stderr reader for " + pythonExec) {
-          override def run() {
-            scala.util.control.Exception.ignoring(classOf[IOException]) {
-              // FIXME HACK: We copy the stream on the level of bytes to
-              // attempt to dodge encoding problems.
-              val in = daemon.getErrorStream
-              var buf = new Array[Byte](1024)
-              var len = in.read(buf)
-              while (len != -1) {
-                System.err.write(buf, 0, len)
-                len = in.read(buf)
-              }
-            }
-          }
-        }.start()
-
-        val in = new DataInputStream(daemon.getInputStream)
-        daemonPort = in.readInt()
-
-        // Redirect further stdout output to our stderr
-        new Thread("stdout reader for " + pythonExec) {
-          override def run() {
-            scala.util.control.Exception.ignoring(classOf[IOException]) {
-              // FIXME HACK: We copy the stream on the level of bytes to
-              // attempt to dodge encoding problems.
-              var buf = new Array[Byte](1024)
-              var len = in.read(buf)
-              while (len != -1) {
-                System.err.write(buf, 0, len)
-                len = in.read(buf)
-              }
-            }
-          }
-        }.start()
-      } catch {
-        case e => {
-          stopDaemon()
-          throw e
-        }
-      }
-
-      // Important: don't close daemon's stdin (daemon.getOutputStream) so it can correctly
-      // detect our disappearance.
-    }
-  }
-
-  private def stopDaemon() {
-    synchronized {
-      // Request shutdown of existing daemon by sending SIGTERM
-      if (daemon != null) {
-        daemon.destroy()
-      }
-
-      daemon = null
-      daemonPort = 0
-    }
-  }
-}
diff --git a/core/src/main/scala/spark/deploy/master/ApplicationSource.scala b/core/src/main/scala/spark/deploy/master/ApplicationSource.scala
deleted file mode 100644
index 4df2b6bfdd..0000000000
--- a/core/src/main/scala/spark/deploy/master/ApplicationSource.scala
+++ /dev/null
@@ -1,24 +0,0 @@
-package spark.deploy.master
-
-import com.codahale.metrics.{Gauge, MetricRegistry}
-
-import spark.metrics.source.Source
-
-class ApplicationSource(val application: ApplicationInfo) extends Source {
-  val metricRegistry = new MetricRegistry()
-  val sourceName = "%s.%s.%s".format("application", application.desc.name,
-    System.currentTimeMillis())
-
-  metricRegistry.register(MetricRegistry.name("status"), new Gauge[String] {
-    override def getValue: String = application.state.toString
-  })
-
-  metricRegistry.register(MetricRegistry.name("runtime_ms"), new Gauge[Long] {
-    override def getValue: Long = application.duration
-  })
-
-  metricRegistry.register(MetricRegistry.name("cores", "number"), new Gauge[Int] {
-    override def getValue: Int = application.coresGranted
-  })
-
-}
diff --git a/core/src/main/scala/spark/deploy/master/MasterSource.scala b/core/src/main/scala/spark/deploy/master/MasterSource.scala
deleted file mode 100644
index b8cfa6a773..0000000000
--- a/core/src/main/scala/spark/deploy/master/MasterSource.scala
+++ /dev/null
@@ -1,25 +0,0 @@
-package spark.deploy.master
-
-import com.codahale.metrics.{Gauge, MetricRegistry}
-
-import spark.metrics.source.Source
-
-private[spark] class MasterSource(val master: Master) extends Source {
-  val metricRegistry = new MetricRegistry()
-  val sourceName = "master"
-
-  // Gauge for worker numbers in cluster
-  metricRegistry.register(MetricRegistry.name("workers","number"), new Gauge[Int] {
-    override def getValue: Int = master.workers.size
-  })
-
-  // Gauge for application numbers in cluster
-  metricRegistry.register(MetricRegistry.name("apps", "number"), new Gauge[Int] {
-    override def getValue: Int = master.apps.size
-  })
-
-  // Gauge for waiting application numbers in cluster
-  metricRegistry.register(MetricRegistry.name("waitingApps", "number"), new Gauge[Int] {
-    override def getValue: Int = master.waitingApps.size
-  })
-}
diff --git a/core/src/test/resources/test_metrics_config.properties b/core/src/test/resources/test_metrics_config.properties
index 2b31ddf2eb..da2b29b9ce 100644
--- a/core/src/test/resources/test_metrics_config.properties
+++ b/core/src/test/resources/test_metrics_config.properties
@@ -1,6 +1,23 @@
+#
+# 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.
+#
+
 *.sink.console.period = 10
 *.sink.console.unit = seconds
-*.source.jvm.class = spark.metrics.source.JvmSource
+*.source.jvm.class = org.apache.spark.metrics.source.JvmSource
 master.sink.console.period = 20
 master.sink.console.unit = minutes
 
diff --git a/core/src/test/resources/test_metrics_system.properties b/core/src/test/resources/test_metrics_system.properties
index d5479f0298..35d0bd3b8d 100644
--- a/core/src/test/resources/test_metrics_system.properties
+++ b/core/src/test/resources/test_metrics_system.properties
@@ -1,7 +1,24 @@
+#
+# 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.
+#
+
 *.sink.console.period = 10
 *.sink.console.unit = seconds
-test.sink.console.class = spark.metrics.sink.ConsoleSink
-test.sink.dummy.class = spark.metrics.sink.DummySink
-test.source.dummy.class = spark.metrics.source.DummySource
+test.sink.console.class = org.apache.spark.metrics.sink.ConsoleSink
+test.sink.dummy.class = org.apache.spark.metrics.sink.DummySink
+test.source.dummy.class = org.apache.spark.metrics.source.DummySource
 test.sink.console.period = 20
 test.sink.console.unit = minutes
diff --git a/core/src/test/scala/spark/AccumulatorSuite.scala b/core/src/test/scala/org/apache/spark/AccumulatorSuite.scala
index 0af175f316..4434f3b87c 100644
--- a/core/src/test/scala/spark/AccumulatorSuite.scala
+++ b/core/src/test/scala/org/apache/spark/AccumulatorSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import org.scalatest.FunSuite
 import org.scalatest.matchers.ShouldMatchers
@@ -23,7 +23,7 @@ import collection.mutable
 import java.util.Random
 import scala.math.exp
 import scala.math.signum
-import spark.SparkContext._
+import org.apache.spark.SparkContext._
 
 class AccumulatorSuite extends FunSuite with ShouldMatchers with LocalSparkContext {
 
diff --git a/core/src/test/scala/spark/BroadcastSuite.scala b/core/src/test/scala/org/apache/spark/BroadcastSuite.scala
index 785721ece8..b3a53d928b 100644
--- a/core/src/test/scala/spark/BroadcastSuite.scala
+++ b/core/src/test/scala/org/apache/spark/BroadcastSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import org.scalatest.FunSuite
 
diff --git a/core/src/test/scala/spark/CheckpointSuite.scala b/core/src/test/scala/org/apache/spark/CheckpointSuite.scala
index 966dede2be..d9103aebb7 100644
--- a/core/src/test/scala/spark/CheckpointSuite.scala
+++ b/core/src/test/scala/org/apache/spark/CheckpointSuite.scala
@@ -15,13 +15,14 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import org.scalatest.FunSuite
 import java.io.File
-import spark.rdd._
-import spark.SparkContext._
+import org.apache.spark.rdd._
+import org.apache.spark.SparkContext._
 import storage.StorageLevel
+import org.apache.spark.util.Utils
 
 class CheckpointSuite extends FunSuite with LocalSparkContext with Logging {
   initLogging()
diff --git a/core/src/test/scala/spark/DistributedSuite.scala b/core/src/test/scala/org/apache/spark/DistributedSuite.scala
index e11efe459c..7a856d4081 100644
--- a/core/src/test/scala/spark/DistributedSuite.scala
+++ b/core/src/test/scala/org/apache/spark/DistributedSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import network.ConnectionManagerId
 import org.scalatest.FunSuite
diff --git a/core/src/test/scala/spark/DriverSuite.scala b/core/src/test/scala/org/apache/spark/DriverSuite.scala
index 553c0309f6..01a72d8401 100644
--- a/core/src/test/scala/spark/DriverSuite.scala
+++ b/core/src/test/scala/org/apache/spark/DriverSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import java.io.File
 
@@ -26,6 +26,7 @@ import org.scalatest.FunSuite
 import org.scalatest.concurrent.Timeouts
 import org.scalatest.prop.TableDrivenPropertyChecks._
 import org.scalatest.time.SpanSugar._
+import org.apache.spark.util.Utils
 
 class DriverSuite extends FunSuite with Timeouts {
   test("driver should exit after finishing") {
@@ -34,7 +35,7 @@ class DriverSuite extends FunSuite with Timeouts {
     val masters = Table(("master"), ("local"), ("local-cluster[2,1,512]"))
     forAll(masters) { (master: String) =>
       failAfter(30 seconds) {
-        Utils.execute(Seq("./spark-class", "spark.DriverWithoutCleanup", master),
+        Utils.execute(Seq("./spark-class", "org.apache.spark.DriverWithoutCleanup", master),
           new File(System.getenv("SPARK_HOME")))
       }
     }
diff --git a/core/src/test/scala/spark/FailureSuite.scala b/core/src/test/scala/org/apache/spark/FailureSuite.scala
index 5b133cdd6e..af448fcb37 100644
--- a/core/src/test/scala/spark/FailureSuite.scala
+++ b/core/src/test/scala/org/apache/spark/FailureSuite.scala
@@ -15,11 +15,12 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import org.scalatest.FunSuite
 
 import SparkContext._
+import org.apache.spark.util.NonSerializable
 
 // Common state shared by FailureSuite-launched tasks. We use a global object
 // for this because any local variables used in the task closures will rightfully
diff --git a/core/src/test/scala/spark/FileServerSuite.scala b/core/src/test/scala/org/apache/spark/FileServerSuite.scala
index 242ae971f8..35d1d41af1 100644
--- a/core/src/test/scala/spark/FileServerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/FileServerSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import com.google.common.io.Files
 import org.scalatest.FunSuite
diff --git a/core/src/test/scala/spark/FileSuite.scala b/core/src/test/scala/org/apache/spark/FileSuite.scala
index 1e2c257c4b..7b82a4cdd9 100644
--- a/core/src/test/scala/spark/FileSuite.scala
+++ b/core/src/test/scala/org/apache/spark/FileSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import java.io.{FileWriter, PrintWriter, File}
 
diff --git a/core/src/test/scala/spark/JavaAPISuite.java b/core/src/test/scala/org/apache/spark/JavaAPISuite.java
index c337c49268..8a869c9005 100644
--- a/core/src/test/scala/spark/JavaAPISuite.java
+++ b/core/src/test/scala/org/apache/spark/JavaAPISuite.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark;
+package org.apache.spark;
 
 import java.io.File;
 import java.io.IOException;
@@ -38,15 +38,15 @@ import org.junit.Assert;
 import org.junit.Before;
 import org.junit.Test;
 
-import spark.api.java.JavaDoubleRDD;
-import spark.api.java.JavaPairRDD;
-import spark.api.java.JavaRDD;
-import spark.api.java.JavaSparkContext;
-import spark.api.java.function.*;
-import spark.partial.BoundedDouble;
-import spark.partial.PartialResult;
-import spark.storage.StorageLevel;
-import spark.util.StatCounter;
+import org.apache.spark.api.java.JavaDoubleRDD;
+import org.apache.spark.api.java.JavaPairRDD;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.function.*;
+import org.apache.spark.partial.BoundedDouble;
+import org.apache.spark.partial.PartialResult;
+import org.apache.spark.storage.StorageLevel;
+import org.apache.spark.util.StatCounter;
 
 
 // The test suite itself is Serializable so that anonymous Function implementations can be
diff --git a/core/src/test/scala/spark/LocalSparkContext.scala b/core/src/test/scala/org/apache/spark/LocalSparkContext.scala
index ddc212d290..6ec124da9c 100644
--- a/core/src/test/scala/spark/LocalSparkContext.scala
+++ b/core/src/test/scala/org/apache/spark/LocalSparkContext.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import org.scalatest.Suite
 import org.scalatest.BeforeAndAfterEach
diff --git a/core/src/test/scala/spark/MapOutputTrackerSuite.scala b/core/src/test/scala/org/apache/spark/MapOutputTrackerSuite.scala
index c21f3331d0..6013320eaa 100644
--- a/core/src/test/scala/spark/MapOutputTrackerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/MapOutputTrackerSuite.scala
@@ -15,14 +15,14 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import org.scalatest.FunSuite
 
 import akka.actor._
-import spark.scheduler.MapStatus
-import spark.storage.BlockManagerId
-import spark.util.AkkaUtils
+import org.apache.spark.scheduler.MapStatus
+import org.apache.spark.storage.BlockManagerId
+import org.apache.spark.util.AkkaUtils
 
 class MapOutputTrackerSuite extends FunSuite with LocalSparkContext {
 
diff --git a/core/src/test/scala/org/apache/spark/PartitionPruningRDDSuite.scala b/core/src/test/scala/org/apache/spark/PartitionPruningRDDSuite.scala
new file mode 100644
index 0000000000..21f16ef2c6
--- /dev/null
+++ b/core/src/test/scala/org/apache/spark/PartitionPruningRDDSuite.scala
@@ -0,0 +1,45 @@
+/*
+ * 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.
+ */
+
+package org.apache.spark
+
+import org.scalatest.FunSuite
+import org.apache.spark.SparkContext._
+import org.apache.spark.rdd.{RDD, PartitionPruningRDD}
+
+
+class PartitionPruningRDDSuite extends FunSuite with SharedSparkContext {
+
+  test("Pruned Partitions inherit locality prefs correctly") {
+    class TestPartition(i: Int) extends Partition {
+      def index = i
+    }
+    val rdd = new RDD[Int](sc, Nil) {
+      override protected def getPartitions = {
+        Array[Partition](
+            new TestPartition(1),
+            new TestPartition(2), 
+            new TestPartition(3))
+      }
+      def compute(split: Partition, context: TaskContext) = {Iterator()}
+    }
+    val prunedRDD = PartitionPruningRDD.create(rdd, {x => if (x==2) true else false})
+    val p = prunedRDD.partitions(0)
+    assert(p.index == 2)
+    assert(prunedRDD.partitions.length == 1)
+  }
+}
diff --git a/core/src/test/scala/spark/PartitioningSuite.scala b/core/src/test/scala/org/apache/spark/PartitioningSuite.scala
index b1e0b2b4d0..7d938917f2 100644
--- a/core/src/test/scala/spark/PartitioningSuite.scala
+++ b/core/src/test/scala/org/apache/spark/PartitioningSuite.scala
@@ -15,13 +15,16 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
-import org.scalatest.FunSuite
-import scala.collection.mutable.ArrayBuffer
-import SparkContext._
-import spark.util.StatCounter
 import scala.math.abs
+import scala.collection.mutable.ArrayBuffer
+
+import org.scalatest.FunSuite
+
+import org.apache.spark.SparkContext._
+import org.apache.spark.util.StatCounter
+import org.apache.spark.rdd.RDD
 
 class PartitioningSuite extends FunSuite with SharedSparkContext {
 
diff --git a/core/src/test/scala/spark/PipedRDDSuite.scala b/core/src/test/scala/org/apache/spark/PipedRDDSuite.scala
index 35c04710a3..2e851d892d 100644
--- a/core/src/test/scala/spark/PipedRDDSuite.scala
+++ b/core/src/test/scala/org/apache/spark/PipedRDDSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import org.scalatest.FunSuite
 import SparkContext._
diff --git a/core/src/test/scala/spark/SharedSparkContext.scala b/core/src/test/scala/org/apache/spark/SharedSparkContext.scala
index 70c24515be..97cbca09bf 100644
--- a/core/src/test/scala/spark/SharedSparkContext.scala
+++ b/core/src/test/scala/org/apache/spark/SharedSparkContext.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import org.scalatest.Suite
 import org.scalatest.BeforeAndAfterAll
diff --git a/core/src/test/scala/spark/ShuffleNettySuite.scala b/core/src/test/scala/org/apache/spark/ShuffleNettySuite.scala
index 6bad6c1d13..e121b162ad 100644
--- a/core/src/test/scala/spark/ShuffleNettySuite.scala
+++ b/core/src/test/scala/org/apache/spark/ShuffleNettySuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import org.scalatest.BeforeAndAfterAll
 
diff --git a/core/src/test/scala/spark/ShuffleSuite.scala b/core/src/test/scala/org/apache/spark/ShuffleSuite.scala
index 8745689c70..db717865db 100644
--- a/core/src/test/scala/spark/ShuffleSuite.scala
+++ b/core/src/test/scala/org/apache/spark/ShuffleSuite.scala
@@ -15,15 +15,16 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import org.scalatest.FunSuite
 import org.scalatest.matchers.ShouldMatchers
 
-import spark.SparkContext._
-import spark.ShuffleSuite.NonJavaSerializableClass
-import spark.rdd.{SubtractedRDD, CoGroupedRDD, OrderedRDDFunctions, ShuffledRDD}
-import spark.util.MutablePair
+import org.apache.spark.SparkContext._
+import org.apache.spark.ShuffleSuite.NonJavaSerializableClass
+import org.apache.spark.rdd.{RDD, SubtractedRDD, CoGroupedRDD, OrderedRDDFunctions, ShuffledRDD}
+import org.apache.spark.util.MutablePair
+import org.apache.spark.serializer.KryoSerializer
 
 
 class ShuffleSuite extends FunSuite with ShouldMatchers with LocalSparkContext {
@@ -54,7 +55,7 @@ class ShuffleSuite extends FunSuite with ShouldMatchers with LocalSparkContext {
     // If the Kryo serializer is not used correctly, the shuffle would fail because the
     // default Java serializer cannot handle the non serializable class.
     val c = new ShuffledRDD[Int, NonJavaSerializableClass, (Int, NonJavaSerializableClass)](
-      b, new HashPartitioner(NUM_BLOCKS)).setSerializer(classOf[spark.KryoSerializer].getName)
+      b, new HashPartitioner(NUM_BLOCKS)).setSerializer(classOf[KryoSerializer].getName)
     val shuffleId = c.dependencies.head.asInstanceOf[ShuffleDependency[Int, Int]].shuffleId
 
     assert(c.count === 10)
@@ -76,7 +77,7 @@ class ShuffleSuite extends FunSuite with ShouldMatchers with LocalSparkContext {
     // If the Kryo serializer is not used correctly, the shuffle would fail because the
     // default Java serializer cannot handle the non serializable class.
     val c = new ShuffledRDD[Int, NonJavaSerializableClass, (Int, NonJavaSerializableClass)](
-      b, new HashPartitioner(3)).setSerializer(classOf[spark.KryoSerializer].getName)
+      b, new HashPartitioner(3)).setSerializer(classOf[KryoSerializer].getName)
     assert(c.count === 10)
   }
 
@@ -92,7 +93,7 @@ class ShuffleSuite extends FunSuite with ShouldMatchers with LocalSparkContext {
     // NOTE: The default Java serializer doesn't create zero-sized blocks.
     //       So, use Kryo
     val c = new ShuffledRDD[Int, Int, (Int, Int)](b, new HashPartitioner(10))
-      .setSerializer(classOf[spark.KryoSerializer].getName)
+      .setSerializer(classOf[KryoSerializer].getName)
 
     val shuffleId = c.dependencies.head.asInstanceOf[ShuffleDependency[Int, Int]].shuffleId
     assert(c.count === 4)
diff --git a/core/src/test/scala/spark/SparkContextInfoSuite.scala b/core/src/test/scala/org/apache/spark/SparkContextInfoSuite.scala
index 6d50bf5e1b..939fe51801 100644
--- a/core/src/test/scala/spark/SparkContextInfoSuite.scala
+++ b/core/src/test/scala/org/apache/spark/SparkContextInfoSuite.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import org.scalatest.FunSuite
-import spark.SparkContext._
+import org.apache.spark.SparkContext._
 
 class SparkContextInfoSuite extends FunSuite with LocalSparkContext {
   test("getPersistentRDDs only returns RDDs that are marked as cached") {
@@ -57,4 +57,4 @@ class SparkContextInfoSuite extends FunSuite with LocalSparkContext {
     rdd.collect()
     assert(sc.getRDDStorageInfo.size === 1)
   }
-}
\ No newline at end of file
+}
diff --git a/core/src/test/scala/spark/ThreadingSuite.scala b/core/src/test/scala/org/apache/spark/ThreadingSuite.scala
index f2acd0bd3c..69383ddfb8 100644
--- a/core/src/test/scala/spark/ThreadingSuite.scala
+++ b/core/src/test/scala/org/apache/spark/ThreadingSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import java.util.concurrent.Semaphore
 import java.util.concurrent.atomic.AtomicBoolean
diff --git a/core/src/test/scala/spark/UnpersistSuite.scala b/core/src/test/scala/org/apache/spark/UnpersistSuite.scala
index 93977d16f4..46a2da1724 100644
--- a/core/src/test/scala/spark/UnpersistSuite.scala
+++ b/core/src/test/scala/org/apache/spark/UnpersistSuite.scala
@@ -15,12 +15,12 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import org.scalatest.FunSuite
 import org.scalatest.concurrent.Timeouts._
 import org.scalatest.time.{Span, Millis}
-import spark.SparkContext._
+import org.apache.spark.SparkContext._
 
 class UnpersistSuite extends FunSuite with LocalSparkContext {
   test("unpersist RDD") {
diff --git a/core/src/test/scala/spark/ZippedPartitionsSuite.scala b/core/src/test/scala/org/apache/spark/ZippedPartitionsSuite.scala
index bb5d379273..618b9c113b 100644
--- a/core/src/test/scala/spark/ZippedPartitionsSuite.scala
+++ b/core/src/test/scala/org/apache/spark/ZippedPartitionsSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import scala.collection.immutable.NumericRange
 
diff --git a/core/src/test/scala/spark/io/CompressionCodecSuite.scala b/core/src/test/scala/org/apache/spark/io/CompressionCodecSuite.scala
index 1ba82fe2b9..ab81bfbe55 100644
--- a/core/src/test/scala/spark/io/CompressionCodecSuite.scala
+++ b/core/src/test/scala/org/apache/spark/io/CompressionCodecSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.io
+package org.apache.spark.io
 
 import java.io.{ByteArrayInputStream, ByteArrayOutputStream}
 
@@ -44,7 +44,7 @@ class CompressionCodecSuite extends FunSuite {
 
   test("default compression codec") {
     val codec = CompressionCodec.createCodec()
-    assert(codec.getClass === classOf[SnappyCompressionCodec])
+    assert(codec.getClass === classOf[LZFCompressionCodec])
     testCodec(codec)
   }
 
diff --git a/core/src/test/scala/spark/metrics/MetricsConfigSuite.scala b/core/src/test/scala/org/apache/spark/metrics/MetricsConfigSuite.scala
index b0213b62d9..58c94a162d 100644
--- a/core/src/test/scala/spark/metrics/MetricsConfigSuite.scala
+++ b/core/src/test/scala/org/apache/spark/metrics/MetricsConfigSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.metrics
+package org.apache.spark.metrics
 
 import org.scalatest.{BeforeAndAfter, FunSuite}
 
@@ -35,7 +35,7 @@ class MetricsConfigSuite extends FunSuite with BeforeAndAfter {
 
     val property = conf.getInstance("random")
     assert(property.size() === 3)
-    assert(property.getProperty("sink.servlet.class") === "spark.metrics.sink.MetricsServlet")
+    assert(property.getProperty("sink.servlet.class") === "org.apache.spark.metrics.sink.MetricsServlet")
     assert(property.getProperty("sink.servlet.uri") === "/metrics/json")
     assert(property.getProperty("sink.servlet.sample") === "false")
   }
@@ -48,8 +48,8 @@ class MetricsConfigSuite extends FunSuite with BeforeAndAfter {
     assert(masterProp.size() === 6)
     assert(masterProp.getProperty("sink.console.period") === "20")
     assert(masterProp.getProperty("sink.console.unit") === "minutes")
-    assert(masterProp.getProperty("source.jvm.class") === "spark.metrics.source.JvmSource")
-    assert(masterProp.getProperty("sink.servlet.class") === "spark.metrics.sink.MetricsServlet")
+    assert(masterProp.getProperty("source.jvm.class") === "org.apache.spark.metrics.source.JvmSource")
+    assert(masterProp.getProperty("sink.servlet.class") === "org.apache.spark.metrics.sink.MetricsServlet")
     assert(masterProp.getProperty("sink.servlet.uri") === "/metrics/master/json")
     assert(masterProp.getProperty("sink.servlet.sample") === "false")
 
@@ -57,8 +57,8 @@ class MetricsConfigSuite extends FunSuite with BeforeAndAfter {
     assert(workerProp.size() === 6)
     assert(workerProp.getProperty("sink.console.period") === "10")
     assert(workerProp.getProperty("sink.console.unit") === "seconds")
-    assert(workerProp.getProperty("source.jvm.class") === "spark.metrics.source.JvmSource")
-    assert(workerProp.getProperty("sink.servlet.class") === "spark.metrics.sink.MetricsServlet")
+    assert(workerProp.getProperty("source.jvm.class") === "org.apache.spark.metrics.source.JvmSource")
+    assert(workerProp.getProperty("sink.servlet.class") === "org.apache.spark.metrics.sink.MetricsServlet")
     assert(workerProp.getProperty("sink.servlet.uri") === "/metrics/json")
     assert(workerProp.getProperty("sink.servlet.sample") === "false")
   }
@@ -73,7 +73,7 @@ class MetricsConfigSuite extends FunSuite with BeforeAndAfter {
     val masterProp = conf.getInstance("master")
     val sourceProps = conf.subProperties(masterProp, MetricsSystem.SOURCE_REGEX)
     assert(sourceProps.size === 1)
-    assert(sourceProps("jvm").getProperty("class") === "spark.metrics.source.JvmSource")
+    assert(sourceProps("jvm").getProperty("class") === "org.apache.spark.metrics.source.JvmSource")
 
     val sinkProps = conf.subProperties(masterProp, MetricsSystem.SINK_REGEX)
     assert(sinkProps.size === 2)
diff --git a/core/src/test/scala/spark/metrics/MetricsSystemSuite.scala b/core/src/test/scala/org/apache/spark/metrics/MetricsSystemSuite.scala
index dc65ac6994..7181333adf 100644
--- a/core/src/test/scala/spark/metrics/MetricsSystemSuite.scala
+++ b/core/src/test/scala/org/apache/spark/metrics/MetricsSystemSuite.scala
@@ -15,9 +15,10 @@
  * limitations under the License.
  */
 
-package spark.metrics
+package org.apache.spark.metrics
 
 import org.scalatest.{BeforeAndAfter, FunSuite}
+import org.apache.spark.deploy.master.MasterSource
 
 class MetricsSystemSuite extends FunSuite with BeforeAndAfter {
   var filePath: String = _
@@ -46,7 +47,7 @@ class MetricsSystemSuite extends FunSuite with BeforeAndAfter {
     assert(sinks.length === 1)
     assert(!metricsSystem.getServletHandlers.isEmpty)
 
-    val source = new spark.deploy.master.MasterSource(null)
+    val source = new MasterSource(null)
     metricsSystem.registerSource(source)
     assert(sources.length === 1)
   }
diff --git a/core/src/test/scala/spark/rdd/JdbcRDDSuite.scala b/core/src/test/scala/org/apache/spark/rdd/JdbcRDDSuite.scala
index dc8ca941c1..3d39a31252 100644
--- a/core/src/test/scala/spark/rdd/JdbcRDDSuite.scala
+++ b/core/src/test/scala/org/apache/spark/rdd/JdbcRDDSuite.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark
 
 import org.scalatest.{ BeforeAndAfter, FunSuite }
-import spark.SparkContext._
-import spark.rdd.JdbcRDD
+import org.apache.spark.SparkContext._
+import org.apache.spark.rdd.JdbcRDD
 import java.sql._
 
 class JdbcRDDSuite extends FunSuite with BeforeAndAfter with LocalSparkContext {
diff --git a/core/src/test/scala/spark/PairRDDFunctionsSuite.scala b/core/src/test/scala/org/apache/spark/rdd/PairRDDFunctionsSuite.scala
index 328b3b5497..31f97fc139 100644
--- a/core/src/test/scala/spark/PairRDDFunctionsSuite.scala
+++ b/core/src/test/scala/org/apache/spark/rdd/PairRDDFunctionsSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark.rdd
 
 import scala.collection.mutable.ArrayBuffer
 import scala.collection.mutable.HashSet
@@ -23,7 +23,8 @@ import scala.collection.mutable.HashSet
 import org.scalatest.FunSuite
 
 import com.google.common.io.Files
-import spark.SparkContext._
+import org.apache.spark.SparkContext._
+import org.apache.spark.{Partitioner, SharedSparkContext}
 
 
 class PairRDDFunctionsSuite extends FunSuite with SharedSparkContext {
diff --git a/core/src/test/scala/spark/rdd/ParallelCollectionSplitSuite.scala b/core/src/test/scala/org/apache/spark/rdd/ParallelCollectionSplitSuite.scala
index d1276d541f..a80afdee7e 100644
--- a/core/src/test/scala/spark/rdd/ParallelCollectionSplitSuite.scala
+++ b/core/src/test/scala/org/apache/spark/rdd/ParallelCollectionSplitSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.rdd
+package org.apache.spark.rdd
 
 import scala.collection.immutable.NumericRange
 
diff --git a/core/src/test/scala/spark/RDDSuite.scala b/core/src/test/scala/org/apache/spark/rdd/RDDSuite.scala
index e306952bbd..adc971050e 100644
--- a/core/src/test/scala/spark/RDDSuite.scala
+++ b/core/src/test/scala/org/apache/spark/rdd/RDDSuite.scala
@@ -15,15 +15,17 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark.rdd
 
 import scala.collection.mutable.HashMap
 import org.scalatest.FunSuite
 import org.scalatest.concurrent.Timeouts._
 import org.scalatest.time.{Span, Millis}
-import spark.SparkContext._
-import spark.rdd._
+import org.apache.spark.SparkContext._
+import org.apache.spark.rdd._
 import scala.collection.parallel.mutable
+import org.apache.spark._
+import org.apache.spark.rdd.CoalescedRDDPartition
 
 class RDDSuite extends FunSuite with SharedSparkContext {
 
diff --git a/core/src/test/scala/spark/SortingSuite.scala b/core/src/test/scala/org/apache/spark/rdd/SortingSuite.scala
index b933c4aab8..2f7bd370fc 100644
--- a/core/src/test/scala/spark/SortingSuite.scala
+++ b/core/src/test/scala/org/apache/spark/rdd/SortingSuite.scala
@@ -15,12 +15,14 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark.rdd
 
 import org.scalatest.FunSuite
 import org.scalatest.BeforeAndAfter
 import org.scalatest.matchers.ShouldMatchers
-import SparkContext._
+
+import org.apache.spark.{Logging, SharedSparkContext}
+import org.apache.spark.SparkContext._
 
 class SortingSuite extends FunSuite with SharedSparkContext with ShouldMatchers with Logging {
 
diff --git a/core/src/test/scala/spark/scheduler/DAGSchedulerSuite.scala b/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala
index 3b4a0d52fc..94f66c94c6 100644
--- a/core/src/test/scala/spark/scheduler/DAGSchedulerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala
@@ -15,26 +15,26 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
 import scala.collection.mutable.{Map, HashMap}
 
 import org.scalatest.FunSuite
 import org.scalatest.BeforeAndAfter
 
-import spark.LocalSparkContext
-import spark.MapOutputTracker
-import spark.RDD
-import spark.SparkContext
-import spark.Partition
-import spark.TaskContext
-import spark.{Dependency, ShuffleDependency, OneToOneDependency}
-import spark.{FetchFailed, Success, TaskEndReason}
-import spark.storage.{BlockManagerId, BlockManagerMaster}
-
-import spark.scheduler.cluster.Pool
-import spark.scheduler.cluster.SchedulingMode
-import spark.scheduler.cluster.SchedulingMode.SchedulingMode
+import org.apache.spark.LocalSparkContext
+import org.apache.spark.MapOutputTracker
+import org.apache.spark.rdd.RDD
+import org.apache.spark.SparkContext
+import org.apache.spark.Partition
+import org.apache.spark.TaskContext
+import org.apache.spark.{Dependency, ShuffleDependency, OneToOneDependency}
+import org.apache.spark.{FetchFailed, Success, TaskEndReason}
+import org.apache.spark.storage.{BlockManagerId, BlockManagerMaster}
+
+import org.apache.spark.scheduler.cluster.Pool
+import org.apache.spark.scheduler.cluster.SchedulingMode
+import org.apache.spark.scheduler.cluster.SchedulingMode.SchedulingMode
 
 /**
  * Tests for DAGScheduler. These tests directly call the event processing functions in DAGScheduler
diff --git a/core/src/test/scala/spark/scheduler/JobLoggerSuite.scala b/core/src/test/scala/org/apache/spark/scheduler/JobLoggerSuite.scala
index bb9e715f95..cece60dda7 100644
--- a/core/src/test/scala/spark/scheduler/JobLoggerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/scheduler/JobLoggerSuite.scala
@@ -15,15 +15,19 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
 import java.util.Properties
 import java.util.concurrent.LinkedBlockingQueue
+
+import scala.collection.mutable
+
 import org.scalatest.FunSuite
 import org.scalatest.matchers.ShouldMatchers
-import scala.collection.mutable
-import spark._
-import spark.SparkContext._
+
+import org.apache.spark._
+import org.apache.spark.SparkContext._
+import org.apache.spark.rdd.RDD
 
 
 class JobLoggerSuite extends FunSuite with LocalSparkContext with ShouldMatchers {
diff --git a/core/src/test/scala/spark/scheduler/SparkListenerSuite.scala b/core/src/test/scala/org/apache/spark/scheduler/SparkListenerSuite.scala
index 392d67d67b..aac7c207cb 100644
--- a/core/src/test/scala/spark/scheduler/SparkListenerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/scheduler/SparkListenerSuite.scala
@@ -15,13 +15,13 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
 import org.scalatest.FunSuite
-import spark.{SparkContext, LocalSparkContext}
+import org.apache.spark.{SparkContext, LocalSparkContext}
 import scala.collection.mutable
 import org.scalatest.matchers.ShouldMatchers
-import spark.SparkContext._
+import org.apache.spark.SparkContext._
 
 /**
  *
diff --git a/core/src/test/scala/spark/scheduler/TaskContextSuite.scala b/core/src/test/scala/org/apache/spark/scheduler/TaskContextSuite.scala
index 95a6eee2fc..e31a116a75 100644
--- a/core/src/test/scala/spark/scheduler/TaskContextSuite.scala
+++ b/core/src/test/scala/org/apache/spark/scheduler/TaskContextSuite.scala
@@ -15,15 +15,15 @@
  * limitations under the License.
  */
 
-package spark.scheduler
+package org.apache.spark.scheduler
 
 import org.scalatest.FunSuite
 import org.scalatest.BeforeAndAfter
-import spark.TaskContext
-import spark.RDD
-import spark.SparkContext
-import spark.Partition
-import spark.LocalSparkContext
+import org.apache.spark.TaskContext
+import org.apache.spark.rdd.RDD
+import org.apache.spark.SparkContext
+import org.apache.spark.Partition
+import org.apache.spark.LocalSparkContext
 
 class TaskContextSuite extends FunSuite with BeforeAndAfter with LocalSparkContext {
 
diff --git a/core/src/test/scala/spark/scheduler/cluster/ClusterSchedulerSuite.scala b/core/src/test/scala/org/apache/spark/scheduler/cluster/ClusterSchedulerSuite.scala
index abfdabf5fe..92ad9f09b2 100644
--- a/core/src/test/scala/spark/scheduler/cluster/ClusterSchedulerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/scheduler/cluster/ClusterSchedulerSuite.scala
@@ -15,14 +15,14 @@
  * limitations under the License.
  */
 
-package spark.scheduler.cluster
+package org.apache.spark.scheduler.cluster
 
 import org.scalatest.FunSuite
 import org.scalatest.BeforeAndAfter
 
-import spark._
-import spark.scheduler._
-import spark.scheduler.cluster._
+import org.apache.spark._
+import org.apache.spark.scheduler._
+import org.apache.spark.scheduler.cluster._
 import scala.collection.mutable.ArrayBuffer
 
 import java.util.Properties
diff --git a/core/src/test/scala/spark/scheduler/cluster/ClusterTaskSetManagerSuite.scala b/core/src/test/scala/org/apache/spark/scheduler/cluster/ClusterTaskSetManagerSuite.scala
index 5a0b949ef5..ff70a2cdf0 100644
--- a/core/src/test/scala/spark/scheduler/cluster/ClusterTaskSetManagerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/scheduler/cluster/ClusterTaskSetManagerSuite.scala
@@ -15,18 +15,18 @@
  * limitations under the License.
  */
 
-package spark.scheduler.cluster
+package org.apache.spark.scheduler.cluster
 
 import scala.collection.mutable.ArrayBuffer
 import scala.collection.mutable
 
 import org.scalatest.FunSuite
 
-import spark._
-import spark.scheduler._
-import spark.executor.TaskMetrics
+import org.apache.spark._
+import org.apache.spark.scheduler._
+import org.apache.spark.executor.TaskMetrics
 import java.nio.ByteBuffer
-import spark.util.FakeClock
+import org.apache.spark.util.{Utils, FakeClock}
 
 /**
  * A mock ClusterScheduler implementation that just remembers information about tasks started and
diff --git a/core/src/test/scala/spark/scheduler/cluster/FakeTask.scala b/core/src/test/scala/org/apache/spark/scheduler/cluster/FakeTask.scala
index de9e66be20..2f12aaed18 100644
--- a/core/src/test/scala/spark/scheduler/cluster/FakeTask.scala
+++ b/core/src/test/scala/org/apache/spark/scheduler/cluster/FakeTask.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.scheduler.cluster
+package org.apache.spark.scheduler.cluster
 
-import spark.scheduler.{TaskLocation, Task}
+import org.apache.spark.scheduler.{TaskLocation, Task}
 
 class FakeTask(stageId: Int, prefLocs: Seq[TaskLocation] = Nil) extends Task[Int](stageId) {
   override def run(attemptId: Long): Int = 0
diff --git a/core/src/test/scala/spark/scheduler/local/LocalSchedulerSuite.scala b/core/src/test/scala/org/apache/spark/scheduler/local/LocalSchedulerSuite.scala
index d28ee47fa3..111340a65c 100644
--- a/core/src/test/scala/spark/scheduler/local/LocalSchedulerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/scheduler/local/LocalSchedulerSuite.scala
@@ -15,14 +15,14 @@
  * limitations under the License.
  */
 
-package spark.scheduler.local
+package org.apache.spark.scheduler.local
 
 import org.scalatest.FunSuite
 import org.scalatest.BeforeAndAfter
 
-import spark._
-import spark.scheduler._
-import spark.scheduler.cluster._
+import org.apache.spark._
+import org.apache.spark.scheduler._
+import org.apache.spark.scheduler.cluster._
 import scala.collection.mutable.ArrayBuffer
 import scala.collection.mutable.{ConcurrentMap, HashMap}
 import java.util.concurrent.Semaphore
diff --git a/core/src/test/scala/spark/KryoSerializerSuite.scala b/core/src/test/scala/org/apache/spark/serializer/KryoSerializerSuite.scala
index 7568a0bf65..0164dda0ba 100644
--- a/core/src/test/scala/spark/KryoSerializerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/serializer/KryoSerializerSuite.scala
@@ -15,14 +15,15 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark.serializer
 
 import scala.collection.mutable
 
-import org.scalatest.FunSuite
-import com.esotericsoftware.kryo._
+import com.esotericsoftware.kryo.Kryo
 
-import KryoTest._
+import org.scalatest.FunSuite
+import org.apache.spark.SharedSparkContext
+import org.apache.spark.serializer.KryoTest._
 
 class KryoSerializerSuite extends FunSuite with SharedSparkContext {
   test("basic types") {
@@ -103,7 +104,6 @@ class KryoSerializerSuite extends FunSuite with SharedSparkContext {
   }
 
   test("custom registrator") {
-    import KryoTest._
     System.setProperty("spark.kryo.registrator", classOf[MyRegistrator].getName)
 
     val ser = (new KryoSerializer).newInstance()
@@ -167,7 +167,7 @@ class KryoSerializerSuite extends FunSuite with SharedSparkContext {
   }
 
   override def beforeAll() {
-    System.setProperty("spark.serializer", "spark.KryoSerializer")
+    System.setProperty("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
     System.setProperty("spark.kryo.registrator", classOf[MyRegistrator].getName)
     super.beforeAll()
   }
diff --git a/core/src/test/scala/spark/storage/BlockManagerSuite.scala b/core/src/test/scala/org/apache/spark/storage/BlockManagerSuite.scala
index b719d65342..038a9acb85 100644
--- a/core/src/test/scala/spark/storage/BlockManagerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/storage/BlockManagerSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.storage
+package org.apache.spark.storage
 
 import java.nio.ByteBuffer
 
@@ -29,11 +29,8 @@ import org.scalatest.concurrent.Timeouts._
 import org.scalatest.matchers.ShouldMatchers._
 import org.scalatest.time.SpanSugar._
 
-import spark.JavaSerializer
-import spark.KryoSerializer
-import spark.SizeEstimator
-import spark.util.AkkaUtils
-import spark.util.ByteBufferInputStream
+import org.apache.spark.util.{SizeEstimator, Utils, AkkaUtils, ByteBufferInputStream}
+import org.apache.spark.serializer.{JavaSerializer, KryoSerializer}
 
 
 class BlockManagerSuite extends FunSuite with BeforeAndAfter with PrivateMethodTester {
@@ -56,7 +53,7 @@ class BlockManagerSuite extends FunSuite with BeforeAndAfter with PrivateMethodT
     System.setProperty("spark.hostPort", "localhost:" + boundPort)
 
     master = new BlockManagerMaster(
-      actorSystem.actorOf(Props(new spark.storage.BlockManagerMasterActor(true))))
+      actorSystem.actorOf(Props(new BlockManagerMasterActor(true))))
 
     // Set the arch to 64-bit and compressedOops to true to get a deterministic test-case
     oldArch = System.setProperty("os.arch", "amd64")
@@ -65,7 +62,7 @@ class BlockManagerSuite extends FunSuite with BeforeAndAfter with PrivateMethodT
     val initialize = PrivateMethod[Unit]('initialize)
     SizeEstimator invokePrivate initialize()
     // Set some value ...
-    System.setProperty("spark.hostPort", spark.Utils.localHostName() + ":" + 1111)
+    System.setProperty("spark.hostPort", Utils.localHostName() + ":" + 1111)
   }
 
   after {
@@ -105,10 +102,10 @@ class BlockManagerSuite extends FunSuite with BeforeAndAfter with PrivateMethodT
     assert(level2 === level1, "level2 is not same as level1")
     assert(level2.eq(level1), "level2 is not the same object as level1")
     assert(level3 != level1, "level3 is same as level1")
-    val bytes1 = spark.Utils.serialize(level1)
-    val level1_ = spark.Utils.deserialize[StorageLevel](bytes1)
-    val bytes2 = spark.Utils.serialize(level2)
-    val level2_ = spark.Utils.deserialize[StorageLevel](bytes2)
+    val bytes1 = Utils.serialize(level1)
+    val level1_ = Utils.deserialize[StorageLevel](bytes1)
+    val bytes2 = Utils.serialize(level2)
+    val level2_ = Utils.deserialize[StorageLevel](bytes2)
     assert(level1_ === level1, "Deserialized level1 not same as original level1")
     assert(level1_.eq(level1), "Deserialized level1 not the same object as original level2")
     assert(level2_ === level2, "Deserialized level2 not same as original level2")
@@ -122,10 +119,10 @@ class BlockManagerSuite extends FunSuite with BeforeAndAfter with PrivateMethodT
     assert(id2 === id1, "id2 is not same as id1")
     assert(id2.eq(id1), "id2 is not the same object as id1")
     assert(id3 != id1, "id3 is same as id1")
-    val bytes1 = spark.Utils.serialize(id1)
-    val id1_ = spark.Utils.deserialize[BlockManagerId](bytes1)
-    val bytes2 = spark.Utils.serialize(id2)
-    val id2_ = spark.Utils.deserialize[BlockManagerId](bytes2)
+    val bytes1 = Utils.serialize(id1)
+    val id1_ = Utils.deserialize[BlockManagerId](bytes1)
+    val bytes2 = Utils.serialize(id2)
+    val id2_ = Utils.deserialize[BlockManagerId](bytes2)
     assert(id1_ === id1, "Deserialized id1 is not same as original id1")
     assert(id1_.eq(id1), "Deserialized id1 is not the same object as original id1")
     assert(id2_ === id2, "Deserialized id2 is not same as original id2")
diff --git a/core/src/test/scala/spark/ui/UISuite.scala b/core/src/test/scala/org/apache/spark/ui/UISuite.scala
index 735a794396..3321fb5eb7 100644
--- a/core/src/test/scala/spark/ui/UISuite.scala
+++ b/core/src/test/scala/org/apache/spark/ui/UISuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.ui
+package org.apache.spark.ui
 
 import scala.util.{Failure, Success, Try}
 import java.net.ServerSocket
diff --git a/core/src/test/scala/spark/ClosureCleanerSuite.scala b/core/src/test/scala/org/apache/spark/util/ClosureCleanerSuite.scala
index 7d2831e19c..0ed366fb70 100644
--- a/core/src/test/scala/spark/ClosureCleanerSuite.scala
+++ b/core/src/test/scala/org/apache/spark/util/ClosureCleanerSuite.scala
@@ -15,13 +15,14 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark.util
 
 import java.io.NotSerializableException
 
 import org.scalatest.FunSuite
-import spark.LocalSparkContext._
-import SparkContext._
+
+import org.apache.spark.SparkContext
+import org.apache.spark.LocalSparkContext._
 
 class ClosureCleanerSuite extends FunSuite {
   test("closures inside an object") {
diff --git a/core/src/test/scala/spark/util/DistributionSuite.scala b/core/src/test/scala/org/apache/spark/util/DistributionSuite.scala
index 6578b55e82..63642461e4 100644
--- a/core/src/test/scala/spark/util/DistributionSuite.scala
+++ b/core/src/test/scala/org/apache/spark/util/DistributionSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.util
+package org.apache.spark.util
 
 import org.scalatest.FunSuite
 import org.scalatest.matchers.ShouldMatchers
diff --git a/core/src/test/scala/spark/util/FakeClock.scala b/core/src/test/scala/org/apache/spark/util/FakeClock.scala
index 236706317e..0a45917b08 100644
--- a/core/src/test/scala/spark/util/FakeClock.scala
+++ b/core/src/test/scala/org/apache/spark/util/FakeClock.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.util
+package org.apache.spark.util
 
 class FakeClock extends Clock {
   private var time = 0L
diff --git a/core/src/test/scala/spark/util/NextIteratorSuite.scala b/core/src/test/scala/org/apache/spark/util/NextIteratorSuite.scala
index fdbd43d941..45867463a5 100644
--- a/core/src/test/scala/spark/util/NextIteratorSuite.scala
+++ b/core/src/test/scala/org/apache/spark/util/NextIteratorSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.util
+package org.apache.spark.util
 
 import org.scalatest.FunSuite
 import org.scalatest.matchers.ShouldMatchers
diff --git a/core/src/test/scala/spark/util/RateLimitedOutputStreamSuite.scala b/core/src/test/scala/org/apache/spark/util/RateLimitedOutputStreamSuite.scala
index 4c0044202f..a9dd0b1a5b 100644
--- a/core/src/test/scala/spark/util/RateLimitedOutputStreamSuite.scala
+++ b/core/src/test/scala/org/apache/spark/util/RateLimitedOutputStreamSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.util
+package org.apache.spark.util
 
 import org.scalatest.FunSuite
 import java.io.ByteArrayOutputStream
diff --git a/core/src/test/scala/spark/SizeEstimatorSuite.scala b/core/src/test/scala/org/apache/spark/util/SizeEstimatorSuite.scala
index 1ef812dfbd..4e40dcbdee 100644
--- a/core/src/test/scala/spark/SizeEstimatorSuite.scala
+++ b/core/src/test/scala/org/apache/spark/util/SizeEstimatorSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark.util
 
 import org.scalatest.FunSuite
 import org.scalatest.BeforeAndAfterAll
diff --git a/core/src/test/scala/spark/UtilsSuite.scala b/core/src/test/scala/org/apache/spark/util/UtilsSuite.scala
index 98a6c1a1c9..e2859caf58 100644
--- a/core/src/test/scala/spark/UtilsSuite.scala
+++ b/core/src/test/scala/org/apache/spark/util/UtilsSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark
+package org.apache.spark.util
 
 import com.google.common.base.Charsets
 import com.google.common.io.Files
diff --git a/core/src/test/scala/spark/PartitionPruningRDDSuite.scala b/core/src/test/scala/spark/PartitionPruningRDDSuite.scala
deleted file mode 100644
index 88352b639f..0000000000
--- a/core/src/test/scala/spark/PartitionPruningRDDSuite.scala
+++ /dev/null
@@ -1,28 +0,0 @@
-package spark
-
-import org.scalatest.FunSuite
-import spark.SparkContext._
-import spark.rdd.PartitionPruningRDD
-
-
-class PartitionPruningRDDSuite extends FunSuite with SharedSparkContext {
-
-  test("Pruned Partitions inherit locality prefs correctly") {
-    class TestPartition(i: Int) extends Partition {
-      def index = i
-    }
-    val rdd = new RDD[Int](sc, Nil) {
-      override protected def getPartitions = {
-        Array[Partition](
-            new TestPartition(1),
-            new TestPartition(2), 
-            new TestPartition(3))
-      }
-      def compute(split: Partition, context: TaskContext) = {Iterator()}
-    }
-    val prunedRDD = PartitionPruningRDD.create(rdd, {x => if (x==2) true else false})
-    val p = prunedRDD.partitions(0)
-    assert(p.index == 2)
-    assert(prunedRDD.partitions.length == 1)
-  }
-}
diff --git a/docs/README.md b/docs/README.md
index c2b3497bb3..dfcf753553 100644
--- a/docs/README.md
+++ b/docs/README.md
@@ -1,6 +1,6 @@
 Welcome to the Spark documentation!
 
-This readme will walk you through navigating and building the Spark documentation, which is included here with the Spark source code. You can also find documentation specific to release versions of Spark at http://spark-project.org/documentation.html.
+This readme will walk you through navigating and building the Spark documentation, which is included here with the Spark source code. You can also find documentation specific to release versions of Spark at http://spark.incubator.apache.org/documentation.html.
 
 Read on to learn more about viewing documentation in plain text (i.e., markdown) or building the documentation yourself. Why build it yourself? So that you have the docs that corresponds to whichever version of Spark you currently have checked out of revision control.
 
diff --git a/docs/_layouts/global.html b/docs/_layouts/global.html
index a76346f428..84749fda4e 100755
--- a/docs/_layouts/global.html
+++ b/docs/_layouts/global.html
@@ -61,20 +61,25 @@
                             <a href="#" class="dropdown-toggle" data-toggle="dropdown">Programming Guides<b class="caret"></b></a>
                             <ul class="dropdown-menu">
                                 <li><a href="quick-start.html">Quick Start</a></li>
-                                <li><a href="scala-programming-guide.html">Scala</a></li>
-                                <li><a href="java-programming-guide.html">Java</a></li>
-                                <li><a href="python-programming-guide.html">Python</a></li>
+                                <li><a href="scala-programming-guide.html">Spark in Scala</a></li>
+                                <li><a href="java-programming-guide.html">Spark in Java</a></li>
+                                <li><a href="python-programming-guide.html">Spark in Python</a></li>
+                                <li class="divider"></li>
                                 <li><a href="streaming-programming-guide.html">Spark Streaming</a></li>
+                                <li><a href="mllib-guide.html">MLlib (Machine Learning)</a></li>
+                                <li><a href="bagel-programming-guide.html">Bagel (Pregel on Spark)</a></li>
                             </ul>
                         </li>
                         
                         <li class="dropdown">
                             <a href="#" class="dropdown-toggle" data-toggle="dropdown">API Docs<b class="caret"></b></a>
                             <ul class="dropdown-menu">
-                                <li><a href="api/core/index.html">Spark Java/Scala (Scaladoc)</a></li>
-                                <li><a href="api/pyspark/index.html">Spark Python (Epydoc)</a></li>
-                                <li><a href="api/streaming/index.html">Spark Streaming Java/Scala (Scaladoc) </a></li>
-                                <li><a href="api/mllib/index.html">Spark ML Library (Scaladoc) </a></li>
+                                <li><a href="api/core/index.html">Spark Core for Java/Scala</a></li>
+                                <li><a href="api/pyspark/index.html">Spark Core for Python</a></li>
+                                <li class="divider"></li>
+                                <li><a href="api/streaming/index.html">Spark Streaming</a></li>
+                                <li><a href="api/mllib/index.html">MLlib (Machine Learning)</a></li>
+                                <li><a href="api/bagel/index.html">Bagel (Pregel on Spark)</a></li>
                             </ul>
                         </li>
 
@@ -91,10 +96,10 @@
                         <li class="dropdown">
                             <a href="api.html" class="dropdown-toggle" data-toggle="dropdown">More<b class="caret"></b></a>
                             <ul class="dropdown-menu">
-                                <li><a href="building-with-maven.html">Building Spark with Maven</a></li>
                                 <li><a href="configuration.html">Configuration</a></li>
                                 <li><a href="tuning.html">Tuning Guide</a></li>
-                                <li><a href="bagel-programming-guide.html">Bagel (Pregel on Spark)</a></li>
+                                <li><a href="hardware-provisioning.html">Hardware Provisioning</a></li>
+                                <li><a href="building-with-maven.html">Building Spark with Maven</a></li>
                                 <li><a href="contributing-to-spark.html">Contributing to Spark</a></li>
                             </ul>
                         </li>
@@ -136,9 +141,15 @@
 
             <hr>-->
 
-            <!--<footer>
-                <p></p>
-            </footer>-->
+            <footer>
+              <hr>
+              <p style="text-align: center; veritcal-align: middle; color: #999;">
+                Apache Spark is an effort undergoing incubation at the Apache Software Foundation.
+                <a href="http://incubator.apache.org">
+                  <img style="margin-left: 20px;" src="img/incubator-logo.png" />
+                </a>
+              </p>
+            </footer>
 
         </div> <!-- /container -->
 
diff --git a/docs/bagel-programming-guide.md b/docs/bagel-programming-guide.md
index c526da3ca0..140190a38c 100644
--- a/docs/bagel-programming-guide.md
+++ b/docs/bagel-programming-guide.md
@@ -3,22 +3,21 @@ layout: global
 title: Bagel Programming Guide
 ---
 
-**Bagel** is a Spark implementation of Google's [Pregel](http://portal.acm.org/citation.cfm?id=1807184) graph processing framework. Bagel currently supports basic graph computation, combiners, and aggregators.
+Bagel is a Spark implementation of Google's [Pregel](http://portal.acm.org/citation.cfm?id=1807184) graph processing framework. Bagel currently supports basic graph computation, combiners, and aggregators.
 
 In the Pregel programming model, jobs run as a sequence of iterations called _supersteps_. In each superstep, each vertex in the graph runs a user-specified function that can update state associated with the vertex and send messages to other vertices for use in the *next* iteration.
 
 This guide shows the programming model and features of Bagel by walking through an example implementation of PageRank on Bagel.
 
-## Linking with Bagel
+# Linking with Bagel
 
-To write a Bagel application, you will need to add Spark, its dependencies, and Bagel to your CLASSPATH:
+To use Bagel in your program, add the following SBT or Maven dependency:
 
-1. Run `sbt/sbt update` to fetch Spark's dependencies, if you haven't already done so.
-2. Run `sbt/sbt assembly` to build Spark and its dependencies into one JAR (`core/target/spark-core-assembly-{{site.SPARK_VERSION}}.jar`) 
-3. Run `sbt/sbt package` build the Bagel JAR (`bagel/target/scala_{{site.SCALA_VERSION}}/spark-bagel_{{site.SCALA_VERSION}}-{{site.SPARK_VERSION}}.jar`).
-4. Add these two JARs to your CLASSPATH.
+    groupId = org.apache.spark
+    artifactId = spark-bagel_{{site.SCALA_VERSION}}
+    version = {{site.SPARK_VERSION}}
 
-## Programming Model
+# Programming Model
 
 Bagel operates on a graph represented as a [distributed dataset](scala-programming-guide.html) of (K, V) pairs, where keys are vertex IDs and values are vertices plus their associated state. In each superstep, Bagel runs a user-specified compute function on each vertex that takes as input the current vertex state and a list of messages sent to that vertex during the previous superstep, and returns the new vertex state and a list of outgoing messages.
 
@@ -29,8 +28,8 @@ representing the current PageRank of the vertex, and similarly extend
 the `Message` and `Edge` classes. Note that these need to be marked `@serializable` to allow Spark to transfer them across machines. We also import the Bagel types and implicit conversions.
 
 {% highlight scala %}
-import spark.bagel._
-import spark.bagel.Bagel._
+import org.apache.spark.bagel._
+import org.apache.spark.bagel.Bagel._
 
 @serializable class PREdge(val targetId: String) extends Edge
 
@@ -89,7 +88,7 @@ Finally, we print the results.
 println(result.map(v => "%s\t%s\n".format(v.id, v.rank)).collect.mkString)
 {% endhighlight %}
 
-### Combiners
+## Combiners
 
 Sending a message to another vertex generally involves expensive communication over the network. For certain algorithms, it's possible to reduce the amount of communication using _combiners_. For example, if the compute function receives integer messages and only uses their sum, it's possible for Bagel to combine multiple messages to the same vertex by summing them.
 
@@ -97,7 +96,7 @@ For combiner support, Bagel can optionally take a set of combiner functions that
 
 _Example: PageRank with combiners_
 
-### Aggregators
+## Aggregators
 
 Aggregators perform a reduce across all vertices after each superstep, and provide the result to each vertex in the next superstep.
 
@@ -105,11 +104,11 @@ For aggregator support, Bagel can optionally take an aggregator function that re
 
 _Example_
 
-### Operations
+## Operations
 
-Here are the actions and types in the Bagel API. See [Bagel.scala](https://github.com/mesos/spark/blob/master/bagel/src/main/scala/spark/bagel/Bagel.scala) for details.
+Here are the actions and types in the Bagel API. See [Bagel.scala](https://github.com/apache/incubator-spark/blob/master/bagel/src/main/scala/spark/bagel/Bagel.scala) for details.
 
-#### Actions
+### Actions
 
 {% highlight scala %}
 /*** Full form ***/
@@ -133,7 +132,7 @@ Bagel.run(sc, vertices, messages, numSplits)(compute)
 // and returns (newVertex: V, outMessages: Array[M])
 {% endhighlight %}
 
-#### Types
+### Types
 
 {% highlight scala %}
 trait Combiner[M, C] {
@@ -156,6 +155,10 @@ trait Message[K] {
 }
 {% endhighlight %}
 
-## Where to Go from Here
+# Where to Go from Here
 
-Two example jobs, PageRank and shortest path, are included in `examples/src/main/scala/spark/examples/bagel`. You can run them by passing the class name to the `run-example` script included in Spark -- for example, `./run-example spark.examples.bagel.WikipediaPageRank`. Each example program prints usage help when run without any arguments.
+Two example jobs, PageRank and shortest path, are included in `examples/src/main/scala/org/apache/spark/examples/bagel`. You can run them by passing the class name to the `run-example` script included in Spark; e.g.:
+
+    ./run-example org.apache.spark.examples.bagel.WikipediaPageRank
+
+Each example program prints usage help when run without any arguments.
diff --git a/docs/configuration.md b/docs/configuration.md
index b125eeb03c..310e78a9eb 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -5,50 +5,14 @@ title: Spark Configuration
 
 Spark provides three main locations to configure the system:
 
-* [Environment variables](#environment-variables) for launching Spark workers, which can
-  be set either in your driver program or in the `conf/spark-env.sh` script.
-* [Java system properties](#system-properties), which control internal configuration parameters and can be set either
-  programmatically (by calling `System.setProperty` *before* creating a `SparkContext`) or through the
-  `SPARK_JAVA_OPTS` environment variable in `spark-env.sh`.
+* [Java system properties](#system-properties), which control internal configuration parameters and can be set
+  either programmatically (by calling `System.setProperty` *before* creating a `SparkContext`) or through
+  JVM arguments.
+* [Environment variables](#environment-variables) for configuring per-machine settings such as the IP address,
+  which can be set in the `conf/spark-env.sh` script.
 * [Logging configuration](#configuring-logging), which is done through `log4j.properties`.
 
 
-# Environment Variables
-
-Spark determines how to initialize the JVM on worker nodes, or even on the local node when you run `spark-shell`,
-by running the `conf/spark-env.sh` script in the directory where it is installed. This script does not exist by default
-in the Git repository, but but you can create it by copying `conf/spark-env.sh.template`. Make sure that you make
-the copy executable.
-
-Inside `spark-env.sh`, you *must* set at least the following two variables:
-
-* `SCALA_HOME`, to point to your Scala installation, or `SCALA_LIBRARY_PATH` to point to the directory for Scala
-  library JARs (if you install Scala as a Debian or RPM package, there is no `SCALA_HOME`, but these libraries
-  are in a separate path, typically /usr/share/java; look for `scala-library.jar`).
-* `MESOS_NATIVE_LIBRARY`, if you are [running on a Mesos cluster](running-on-mesos.html).
-
-In addition, there are four other variables that control execution. These should be set *in the environment that
-launches the job's driver program* instead of `spark-env.sh`, because they will be automatically propagated to
-workers. Setting these per-job instead of in `spark-env.sh` ensures that different jobs can have different settings
-for these variables.
-
-* `SPARK_JAVA_OPTS`, to add JVM options. This includes any system properties that you'd like to pass with `-D`.
-* `SPARK_CLASSPATH`, to add elements to Spark's classpath.
-* `SPARK_LIBRARY_PATH`, to add search directories for native libraries.
-* `SPARK_MEM`, to set the amount of memory used per node. This should be in the same format as the
-   JVM's -Xmx option, e.g. `300m` or `1g`. Note that this option will soon be deprecated in favor of
-   the `spark.executor.memory` system property, so we recommend using that in new code.
-
-Beware that if you do set these variables in `spark-env.sh`, they will override the values set by user programs,
-which is undesirable; if you prefer, you can choose to have `spark-env.sh` set them only if the user program
-hasn't, as follows:
-
-{% highlight bash %}
-if [ -z "$SPARK_JAVA_OPTS" ] ; then
-  SPARK_JAVA_OPTS="-verbose:gc"
-fi
-{% endhighlight %}
-
 # System Properties
 
 To set a system property for configuring Spark, you need to either pass it with a -D flag to the JVM (for example `java -Dspark.cores.max=5 MyProgram`) or call `System.setProperty` in your code *before* creating your Spark context, as follows:
@@ -67,18 +31,18 @@ there are at least five properties that you will commonly want to control:
   <td>spark.executor.memory</td>
   <td>512m</td>
   <td>
-    Amount of memory to use per executor process, in the same format as JVM memory strings (e.g. `512m`, `2g`).
+    Amount of memory to use per executor process, in the same format as JVM memory strings (e.g. <code>512m</code>, <code>2g</code>).
   </td>
 </tr>
 <tr>
   <td>spark.serializer</td>
-  <td>spark.JavaSerializer</td>
+  <td>org.apache.spark.serializer.<br />JavaSerializer</td>
   <td>
     Class to use for serializing objects that will be sent over the network or need to be cached
     in serialized form. The default of Java serialization works with any Serializable Java object but is
-    quite slow, so we recommend <a href="tuning.html">using <code>spark.KryoSerializer</code>
+    quite slow, so we recommend <a href="tuning.html">using <code>org.apache.spark.serializer.KryoSerializer</code>
     and configuring Kryo serialization</a> when speed is necessary. Can be any subclass of
-    <a href="api/core/index.html#spark.Serializer"><code>spark.Serializer</code></a>).
+    <a href="api/core/index.html#org.apache.spark.serializer.Serializer"><code>org.apache.spark.Serializer</code></a>.
   </td>
 </tr>
 <tr>
@@ -86,8 +50,8 @@ there are at least five properties that you will commonly want to control:
   <td>(none)</td>
   <td>
     If you use Kryo serialization, set this class to register your custom classes with Kryo.
-    You need to set it to a class that extends
-    <a href="api/core/index.html#spark.KryoRegistrator"><code>spark.KryoRegistrator</code></a>).
+    It should be set to a class that extends
+    <a href="api/core/index.html#org.apache.spark.serializer.KryoRegistrator"><code>KryoRegistrator</code></a>.
     See the <a href="tuning.html#data-serialization">tuning guide</a> for more details.
   </td>
 </tr>
@@ -97,7 +61,7 @@ there are at least five properties that you will commonly want to control:
   <td>
     Directory to use for "scratch" space in Spark, including map output files and RDDs that get stored
     on disk. This should be on a fast, local disk in your system. It can also be a comma-separated
-    list of multiple directories.
+    list of multiple directories on different disks.
   </td>
 </tr>
 <tr>
@@ -106,7 +70,8 @@ there are at least five properties that you will commonly want to control:
   <td>
     When running on a <a href="spark-standalone.html">standalone deploy cluster</a> or a
     <a href="running-on-mesos.html#mesos-run-modes">Mesos cluster in "coarse-grained"
-    sharing mode</a>, how many CPU cores to request at most. The default will use all available cores.
+    sharing mode</a>, how many CPU cores to request at most. The default will use all available cores
+    offered by the cluster manager.
   </td>
 </tr>
 </table>
@@ -182,10 +147,10 @@ Apart from these, the following properties are also available, and may be useful
 </tr>
 <tr>
   <td>spark.io.compression.codec</td>
-  <td>spark.io.SnappyCompressionCodec</td>
+  <td>org.apache.spark.io.<br />LZFCompressionCodec</td>
   <td>
     The compression codec class to use for various compressions. By default, Spark provides two
-    codecs: <code>spark.io.LZFCompressionCodec</code> and <code>spark.io.SnappyCompressionCodec</code>.
+    codecs: <code>org.apache.spark.io.LZFCompressionCodec</code> and <code>org.apache.spark.io.SnappyCompressionCodec</code>.
   </td>
 </tr>
 <tr>
@@ -206,7 +171,7 @@ Apart from these, the following properties are also available, and may be useful
 </tr>
 <tr>
   <td>spark.closure.serializer</td>
-  <td>spark.JavaSerializer</td>
+  <td>org.apache.spark.serializer.<br />JavaSerializer</td>
   <td>
     Serializer class to use for closures. Generally Java is fine unless your distributed functions
     (e.g. map functions) reference large objects in the driver program.
@@ -233,7 +198,7 @@ Apart from these, the following properties are also available, and may be useful
 </tr>
 <tr>
   <td>spark.broadcast.factory</td>
-  <td>spark.broadcast.HttpBroadcastFactory</td>
+  <td>org.apache.spark.broadcast.<br />HttpBroadcastFactory</td>
   <td>
     Which broadcast implementation to use.
   </td>
@@ -321,7 +286,7 @@ Apart from these, the following properties are also available, and may be useful
 </tr>
 <tr>
   <td>spark.cleaner.ttl</td>
-  <td>(disable)</td>
+  <td>(infinite)</td>
   <td>
     Duration (seconds) of how long Spark will remember any metadata (stages generated, tasks generated, etc.).
     Periodic cleanups will ensure that metadata older than this duration will be forgetten. This is
@@ -347,6 +312,34 @@ Apart from these, the following properties are also available, and may be useful
 
 </table>
 
+# Environment Variables
+
+Certain Spark settings can also be configured through environment variables, which are read from the `conf/spark-env.sh`
+script in the directory where Spark is installed (or `conf/spark-env.cmd` on Windows). These variables are meant to be for machine-specific settings, such
+as library search paths. While Java system properties can also be set here, for application settings, we recommend setting
+these properties within the application instead of in `spark-env.sh` so that different applications can use different
+settings.
+
+Note that `conf/spark-env.sh` does not exist by default when Spark is installed. However, you can copy
+`conf/spark-env.sh.template` to create it. Make sure you make the copy executable.
+
+The following variables can be set in `spark-env.sh`:
+
+* `JAVA_HOME`, the location where Java is installed (if it's not on your default `PATH`)
+* `PYSPARK_PYTHON`, the Python binary to use for PySpark
+* `SPARK_LOCAL_IP`, to configure which IP address of the machine to bind to.
+* `SPARK_LIBRARY_PATH`, to add search directories for native libraries.
+* `SPARK_CLASSPATH`, to add elements to Spark's classpath that you want to be present for _all_ applications.
+   Note that applications can also add dependencies for themselves through `SparkContext.addJar` -- we recommend
+   doing that when possible.
+* `SPARK_JAVA_OPTS`, to add JVM options. This includes Java options like garbage collector settings and any system
+   properties that you'd like to pass with `-D` (e.g., `-Dspark.local.dir=/disk1,/disk2`). 
+* Options for the Spark [standalone cluster scripts](spark-standalone.html#cluster-launch-scripts), such as number of cores
+  to use on each machine and maximum memory.
+
+Since `spark-env.sh` is a shell script, some of these can be set programmatically -- for example, you might
+compute `SPARK_LOCAL_IP` by looking up the IP of a specific network interface.
+
 # Configuring Logging
 
 Spark uses [log4j](http://logging.apache.org/log4j/) for logging. You can configure it by adding a `log4j.properties`
diff --git a/docs/css/bootstrap.min.css b/docs/css/bootstrap.min.css
index eb48138e08..ccb529eaba 100644
--- a/docs/css/bootstrap.min.css
+++ b/docs/css/bootstrap.min.css
@@ -6,4 +6,4 @@
  * http://www.apache.org/licenses/LICENSE-2.0
  *
  * Designed and built with all the love in the world @twitter by @mdo and @fat.
- */article,aside,details,figcaption,figure,footer,header,hgroup,nav,section{display:block}audio,canvas,video{display:inline-block;*display:inline;*zoom:1}audio:not([controls]){display:none}html{font-size:100%;-webkit-text-size-adjust:100%;-ms-text-size-adjust:100%}a:focus{outline:thin dotted #333;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}a:hover,a:active{outline:0}sub,sup{position:relative;font-size:75%;line-height:0;vertical-align:baseline}sup{top:-0.5em}sub{bottom:-0.25em}img{height:auto;max-width:100%;vertical-align:middle;border:0;-ms-interpolation-mode:bicubic}#map_canvas img{max-width:none}button,input,select,textarea{margin:0;font-size:100%;vertical-align:middle}button,input{*overflow:visible;line-height:normal}button::-moz-focus-inner,input::-moz-focus-inner{padding:0;border:0}button,input[type="button"],input[type="reset"],input[type="submit"]{cursor:pointer;-webkit-appearance:button}input[type="search"]{-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;-webkit-appearance:textfield}input[type="search"]::-webkit-search-decoration,input[type="search"]::-webkit-search-cancel-button{-webkit-appearance:none}textarea{overflow:auto;vertical-align:top}.clearfix{*zoom:1}.clearfix:before,.clearfix:after{display:table;line-height:0;content:""}.clearfix:after{clear:both}.hide-text{font:0/0 a;color:transparent;text-shadow:none;background-color:transparent;border:0}.input-block-level{display:block;width:100%;min-height:30px;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}body{margin:0;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px;line-height:20px;color:#333;background-color:#fff}a{color:#08c;text-decoration:none}a:hover{color:#005580;text-decoration:underline}.img-rounded{-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px}.img-polaroid{padding:4px;background-color:#fff;border:1px solid #ccc;border:1px solid rgba(0,0,0,0.2);-webkit-box-shadow:0 1px 3px rgba(0,0,0,0.1);-moz-box-shadow:0 1px 3px rgba(0,0,0,0.1);box-shadow:0 1px 3px rgba(0,0,0,0.1)}.img-circle{-webkit-border-radius:500px;-moz-border-radius:500px;border-radius:500px}.row{margin-left:-20px;*zoom:1}.row:before,.row:after{display:table;line-height:0;content:""}.row:after{clear:both}[class*="span"]{float:left;margin-left:20px}.container,.navbar-static-top .container,.navbar-fixed-top .container,.navbar-fixed-bottom .container{width:940px}.span12{width:940px}.span11{width:860px}.span10{width:780px}.span9{width:700px}.span8{width:620px}.span7{width:540px}.span6{width:460px}.span5{width:380px}.span4{width:300px}.span3{width:220px}.span2{width:140px}.span1{width:60px}.offset12{margin-left:980px}.offset11{margin-left:900px}.offset10{margin-left:820px}.offset9{margin-left:740px}.offset8{margin-left:660px}.offset7{margin-left:580px}.offset6{margin-left:500px}.offset5{margin-left:420px}.offset4{margin-left:340px}.offset3{margin-left:260px}.offset2{margin-left:180px}.offset1{margin-left:100px}.row-fluid{width:100%;*zoom:1}.row-fluid:before,.row-fluid:after{display:table;line-height:0;content:""}.row-fluid:after{clear:both}.row-fluid [class*="span"]{display:block;float:left;width:100%;min-height:30px;margin-left:2.127659574468085%;*margin-left:2.074468085106383%;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}.row-fluid [class*="span"]:first-child{margin-left:0}.row-fluid .span12{width:100%;*width:99.94680851063829%}.row-fluid .span11{width:91.48936170212765%;*width:91.43617021276594%}.row-fluid .span10{width:82.97872340425532%;*width:82.92553191489361%}.row-fluid .span9{width:74.46808510638297%;*width:74.41489361702126%}.row-fluid .span8{width:65.95744680851064%;*width:65.90425531914893%}.row-fluid .span7{width:57.44680851063829%;*width:57.39361702127659%}.row-fluid .span6{width:48.93617021276595%;*width:48.88297872340425%}.row-fluid .span5{width:40.42553191489362%;*width:40.37234042553192%}.row-fluid .span4{width:31.914893617021278%;*width:31.861702127659576%}.row-fluid .span3{width:23.404255319148934%;*width:23.351063829787233%}.row-fluid .span2{width:14.893617021276595%;*width:14.840425531914894%}.row-fluid .span1{width:6.382978723404255%;*width:6.329787234042553%}.row-fluid .offset12{margin-left:104.25531914893617%;*margin-left:104.14893617021275%}.row-fluid .offset12:first-child{margin-left:102.12765957446808%;*margin-left:102.02127659574467%}.row-fluid .offset11{margin-left:95.74468085106382%;*margin-left:95.6382978723404%}.row-fluid .offset11:first-child{margin-left:93.61702127659574%;*margin-left:93.51063829787232%}.row-fluid .offset10{margin-left:87.23404255319149%;*margin-left:87.12765957446807%}.row-fluid .offset10:first-child{margin-left:85.1063829787234%;*margin-left:84.99999999999999%}.row-fluid .offset9{margin-left:78.72340425531914%;*margin-left:78.61702127659572%}.row-fluid .offset9:first-child{margin-left:76.59574468085106%;*margin-left:76.48936170212764%}.row-fluid .offset8{margin-left:70.2127659574468%;*margin-left:70.10638297872339%}.row-fluid .offset8:first-child{margin-left:68.08510638297872%;*margin-left:67.9787234042553%}.row-fluid .offset7{margin-left:61.70212765957446%;*margin-left:61.59574468085106%}.row-fluid .offset7:first-child{margin-left:59.574468085106375%;*margin-left:59.46808510638297%}.row-fluid .offset6{margin-left:53.191489361702125%;*margin-left:53.085106382978715%}.row-fluid .offset6:first-child{margin-left:51.063829787234035%;*margin-left:50.95744680851063%}.row-fluid .offset5{margin-left:44.68085106382979%;*margin-left:44.57446808510638%}.row-fluid .offset5:first-child{margin-left:42.5531914893617%;*margin-left:42.4468085106383%}.row-fluid .offset4{margin-left:36.170212765957444%;*margin-left:36.06382978723405%}.row-fluid .offset4:first-child{margin-left:34.04255319148936%;*margin-left:33.93617021276596%}.row-fluid .offset3{margin-left:27.659574468085104%;*margin-left:27.5531914893617%}.row-fluid .offset3:first-child{margin-left:25.53191489361702%;*margin-left:25.425531914893618%}.row-fluid .offset2{margin-left:19.148936170212764%;*margin-left:19.04255319148936%}.row-fluid .offset2:first-child{margin-left:17.02127659574468%;*margin-left:16.914893617021278%}.row-fluid .offset1{margin-left:10.638297872340425%;*margin-left:10.53191489361702%}.row-fluid .offset1:first-child{margin-left:8.51063829787234%;*margin-left:8.404255319148938%}[class*="span"].hide,.row-fluid [class*="span"].hide{display:none}[class*="span"].pull-right,.row-fluid [class*="span"].pull-right{float:right}.container{margin-right:auto;margin-left:auto;*zoom:1}.container:before,.container:after{display:table;line-height:0;content:""}.container:after{clear:both}.container-fluid{padding-right:20px;padding-left:20px;*zoom:1}.container-fluid:before,.container-fluid:after{display:table;line-height:0;content:""}.container-fluid:after{clear:both}p{margin:0 0 10px}.lead{margin-bottom:20px;font-size:20px;font-weight:200;line-height:30px}small{font-size:85%}strong{font-weight:bold}em{font-style:italic}cite{font-style:normal}.muted{color:#999}h1,h2,h3,h4,h5,h6{margin:10px 0;font-family:inherit;font-weight:bold;line-height:1;color:inherit;text-rendering:optimizelegibility}h1 small,h2 small,h3 small,h4 small,h5 small,h6 small{font-weight:normal;line-height:1;color:#999}h1{font-size:36px;line-height:40px}h2{font-size:30px;line-height:40px}h3{font-size:24px;line-height:40px}h4{font-size:18px;line-height:20px}h5{font-size:14px;line-height:20px}h6{font-size:12px;line-height:20px}h1 small{font-size:24px}h2 small{font-size:18px}h3 small{font-size:14px}h4 small{font-size:14px}.page-header{padding-bottom:9px;margin:20px 0 30px;border-bottom:1px solid #eee}ul,ol{padding:0;margin:0 0 10px 25px}ul ul,ul ol,ol ol,ol ul{margin-bottom:0}li{line-height:20px}ul.unstyled,ol.unstyled{margin-left:0;list-style:none}dl{margin-bottom:20px}dt,dd{line-height:20px}dt{font-weight:bold}dd{margin-left:10px}.dl-horizontal dt{float:left;width:120px;overflow:hidden;clear:left;text-align:right;text-overflow:ellipsis;white-space:nowrap}.dl-horizontal dd{margin-left:130px}hr{margin:20px 0;border:0;border-top:1px solid #eee;border-bottom:1px solid #fff}abbr[title]{cursor:help;border-bottom:1px dotted #999}abbr.initialism{font-size:90%;text-transform:uppercase}blockquote{padding:0 0 0 15px;margin:0 0 20px;border-left:5px solid #eee}blockquote p{margin-bottom:0;font-size:16px;font-weight:300;line-height:25px}blockquote small{display:block;line-height:20px;color:#999}blockquote small:before{content:'\2014 \00A0'}blockquote.pull-right{float:right;padding-right:15px;padding-left:0;border-right:5px solid #eee;border-left:0}blockquote.pull-right p,blockquote.pull-right small{text-align:right}blockquote.pull-right small:before{content:''}blockquote.pull-right small:after{content:'\00A0 \2014'}q:before,q:after,blockquote:before,blockquote:after{content:""}address{display:block;margin-bottom:20px;font-style:normal;line-height:20px}code,pre{padding:0 3px 2px;font-family:Monaco,Menlo,Consolas,"Courier New",monospace;font-size:12px;color:#333;-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px}code{padding:2px 4px;color:#d14;background-color:#f7f7f9;border:1px solid #e1e1e8}pre{display:block;padding:9.5px;margin:0 0 10px;font-size:13px;line-height:20px;word-break:break-all;word-wrap:break-word;white-space:pre;white-space:pre-wrap;background-color:#f5f5f5;border:1px solid #ccc;border:1px solid rgba(0,0,0,0.15);-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}pre.prettyprint{margin-bottom:20px}pre code{padding:0;color:inherit;background-color:transparent;border:0}.pre-scrollable{max-height:340px;overflow-y:scroll}form{margin:0 0 20px}fieldset{padding:0;margin:0;border:0}legend{display:block;width:100%;padding:0;margin-bottom:20px;font-size:21px;line-height:40px;color:#333;border:0;border-bottom:1px solid #e5e5e5}legend small{font-size:15px;color:#999}label,input,button,select,textarea{font-size:14px;font-weight:normal;line-height:20px}input,button,select,textarea{font-family:"Helvetica Neue",Helvetica,Arial,sans-serif}label{display:block;margin-bottom:5px}select,textarea,input[type="text"],input[type="password"],input[type="datetime"],input[type="datetime-local"],input[type="date"],input[type="month"],input[type="time"],input[type="week"],input[type="number"],input[type="email"],input[type="url"],input[type="search"],input[type="tel"],input[type="color"],.uneditable-input{display:inline-block;height:20px;padding:4px 6px;margin-bottom:9px;font-size:14px;line-height:20px;color:#555;-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px}input,textarea{width:210px}textarea{height:auto}textarea,input[type="text"],input[type="password"],input[type="datetime"],input[type="datetime-local"],input[type="date"],input[type="month"],input[type="time"],input[type="week"],input[type="number"],input[type="email"],input[type="url"],input[type="search"],input[type="tel"],input[type="color"],.uneditable-input{background-color:#fff;border:1px solid #ccc;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-webkit-transition:border linear .2s,box-shadow linear .2s;-moz-transition:border linear .2s,box-shadow linear .2s;-o-transition:border linear .2s,box-shadow linear .2s;transition:border linear .2s,box-shadow linear .2s}textarea:focus,input[type="text"]:focus,input[type="password"]:focus,input[type="datetime"]:focus,input[type="datetime-local"]:focus,input[type="date"]:focus,input[type="month"]:focus,input[type="time"]:focus,input[type="week"]:focus,input[type="number"]:focus,input[type="email"]:focus,input[type="url"]:focus,input[type="search"]:focus,input[type="tel"]:focus,input[type="color"]:focus,.uneditable-input:focus{border-color:rgba(82,168,236,0.8);outline:0;outline:thin dotted \9;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 8px rgba(82,168,236,0.6);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 8px rgba(82,168,236,0.6);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 8px rgba(82,168,236,0.6)}input[type="radio"],input[type="checkbox"]{margin:4px 0 0;margin-top:1px \9;*margin-top:0;line-height:normal;cursor:pointer}input[type="file"],input[type="image"],input[type="submit"],input[type="reset"],input[type="button"],input[type="radio"],input[type="checkbox"]{width:auto}select,input[type="file"]{height:30px;*margin-top:4px;line-height:30px}select{width:220px;background-color:#fff;border:1px solid #bbb}select[multiple],select[size]{height:auto}select:focus,input[type="file"]:focus,input[type="radio"]:focus,input[type="checkbox"]:focus{outline:thin dotted #333;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}.uneditable-input,.uneditable-textarea{color:#999;cursor:not-allowed;background-color:#fcfcfc;border-color:#ccc;-webkit-box-shadow:inset 0 1px 2px rgba(0,0,0,0.025);-moz-box-shadow:inset 0 1px 2px rgba(0,0,0,0.025);box-shadow:inset 0 1px 2px rgba(0,0,0,0.025)}.uneditable-input{overflow:hidden;white-space:nowrap}.uneditable-textarea{width:auto;height:auto}input:-moz-placeholder,textarea:-moz-placeholder{color:#999}input:-ms-input-placeholder,textarea:-ms-input-placeholder{color:#999}input::-webkit-input-placeholder,textarea::-webkit-input-placeholder{color:#999}.radio,.checkbox{min-height:18px;padding-left:18px}.radio input[type="radio"],.checkbox input[type="checkbox"]{float:left;margin-left:-18px}.controls>.radio:first-child,.controls>.checkbox:first-child{padding-top:5px}.radio.inline,.checkbox.inline{display:inline-block;padding-top:5px;margin-bottom:0;vertical-align:middle}.radio.inline+.radio.inline,.checkbox.inline+.checkbox.inline{margin-left:10px}.input-mini{width:60px}.input-small{width:90px}.input-medium{width:150px}.input-large{width:210px}.input-xlarge{width:270px}.input-xxlarge{width:530px}input[class*="span"],select[class*="span"],textarea[class*="span"],.uneditable-input[class*="span"],.row-fluid input[class*="span"],.row-fluid select[class*="span"],.row-fluid textarea[class*="span"],.row-fluid .uneditable-input[class*="span"]{float:none;margin-left:0}.input-append input[class*="span"],.input-append .uneditable-input[class*="span"],.input-prepend input[class*="span"],.input-prepend .uneditable-input[class*="span"],.row-fluid input[class*="span"],.row-fluid select[class*="span"],.row-fluid textarea[class*="span"],.row-fluid .uneditable-input[class*="span"],.row-fluid .input-prepend [class*="span"],.row-fluid .input-append [class*="span"]{display:inline-block}input,textarea,.uneditable-input{margin-left:0}.controls-row [class*="span"]+[class*="span"]{margin-left:20px}input.span12,textarea.span12,.uneditable-input.span12{width:926px}input.span11,textarea.span11,.uneditable-input.span11{width:846px}input.span10,textarea.span10,.uneditable-input.span10{width:766px}input.span9,textarea.span9,.uneditable-input.span9{width:686px}input.span8,textarea.span8,.uneditable-input.span8{width:606px}input.span7,textarea.span7,.uneditable-input.span7{width:526px}input.span6,textarea.span6,.uneditable-input.span6{width:446px}input.span5,textarea.span5,.uneditable-input.span5{width:366px}input.span4,textarea.span4,.uneditable-input.span4{width:286px}input.span3,textarea.span3,.uneditable-input.span3{width:206px}input.span2,textarea.span2,.uneditable-input.span2{width:126px}input.span1,textarea.span1,.uneditable-input.span1{width:46px}.controls-row{*zoom:1}.controls-row:before,.controls-row:after{display:table;line-height:0;content:""}.controls-row:after{clear:both}.controls-row [class*="span"]{float:left}input[disabled],select[disabled],textarea[disabled],input[readonly],select[readonly],textarea[readonly]{cursor:not-allowed;background-color:#eee}input[type="radio"][disabled],input[type="checkbox"][disabled],input[type="radio"][readonly],input[type="checkbox"][readonly]{background-color:transparent}.control-group.warning>label,.control-group.warning .help-block,.control-group.warning .help-inline{color:#c09853}.control-group.warning .checkbox,.control-group.warning .radio,.control-group.warning input,.control-group.warning select,.control-group.warning textarea{color:#c09853;border-color:#c09853;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.control-group.warning .checkbox:focus,.control-group.warning .radio:focus,.control-group.warning input:focus,.control-group.warning select:focus,.control-group.warning textarea:focus{border-color:#a47e3c;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #dbc59e;-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #dbc59e;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #dbc59e}.control-group.warning .input-prepend .add-on,.control-group.warning .input-append .add-on{color:#c09853;background-color:#fcf8e3;border-color:#c09853}.control-group.error>label,.control-group.error .help-block,.control-group.error .help-inline{color:#b94a48}.control-group.error .checkbox,.control-group.error .radio,.control-group.error input,.control-group.error select,.control-group.error textarea{color:#b94a48;border-color:#b94a48;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.control-group.error .checkbox:focus,.control-group.error .radio:focus,.control-group.error input:focus,.control-group.error select:focus,.control-group.error textarea:focus{border-color:#953b39;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #d59392;-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #d59392;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #d59392}.control-group.error .input-prepend .add-on,.control-group.error .input-append .add-on{color:#b94a48;background-color:#f2dede;border-color:#b94a48}.control-group.success>label,.control-group.success .help-block,.control-group.success .help-inline{color:#468847}.control-group.success .checkbox,.control-group.success .radio,.control-group.success input,.control-group.success select,.control-group.success textarea{color:#468847;border-color:#468847;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.control-group.success .checkbox:focus,.control-group.success .radio:focus,.control-group.success input:focus,.control-group.success select:focus,.control-group.success textarea:focus{border-color:#356635;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #7aba7b;-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #7aba7b;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #7aba7b}.control-group.success .input-prepend .add-on,.control-group.success .input-append .add-on{color:#468847;background-color:#dff0d8;border-color:#468847}input:focus:required:invalid,textarea:focus:required:invalid,select:focus:required:invalid{color:#b94a48;border-color:#ee5f5b}input:focus:required:invalid:focus,textarea:focus:required:invalid:focus,select:focus:required:invalid:focus{border-color:#e9322d;-webkit-box-shadow:0 0 6px #f8b9b7;-moz-box-shadow:0 0 6px #f8b9b7;box-shadow:0 0 6px #f8b9b7}.form-actions{padding:19px 20px 20px;margin-top:20px;margin-bottom:20px;background-color:#f5f5f5;border-top:1px solid #e5e5e5;*zoom:1}.form-actions:before,.form-actions:after{display:table;line-height:0;content:""}.form-actions:after{clear:both}.help-block,.help-inline{color:#595959}.help-block{display:block;margin-bottom:10px}.help-inline{display:inline-block;*display:inline;padding-left:5px;vertical-align:middle;*zoom:1}.input-append,.input-prepend{margin-bottom:5px;font-size:0;white-space:nowrap}.input-append input,.input-prepend input,.input-append select,.input-prepend select,.input-append .uneditable-input,.input-prepend .uneditable-input{position:relative;margin-bottom:0;*margin-left:0;font-size:14px;vertical-align:top;-webkit-border-radius:0 3px 3px 0;-moz-border-radius:0 3px 3px 0;border-radius:0 3px 3px 0}.input-append input:focus,.input-prepend input:focus,.input-append select:focus,.input-prepend select:focus,.input-append .uneditable-input:focus,.input-prepend .uneditable-input:focus{z-index:2}.input-append .add-on,.input-prepend .add-on{display:inline-block;width:auto;height:20px;min-width:16px;padding:4px 5px;font-size:14px;font-weight:normal;line-height:20px;text-align:center;text-shadow:0 1px 0 #fff;background-color:#eee;border:1px solid #ccc}.input-append .add-on,.input-prepend .add-on,.input-append .btn,.input-prepend .btn{margin-left:-1px;vertical-align:top;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.input-append .active,.input-prepend .active{background-color:#a9dba9;border-color:#46a546}.input-prepend .add-on,.input-prepend .btn{margin-right:-1px}.input-prepend .add-on:first-child,.input-prepend .btn:first-child{-webkit-border-radius:3px 0 0 3px;-moz-border-radius:3px 0 0 3px;border-radius:3px 0 0 3px}.input-append input,.input-append select,.input-append .uneditable-input{-webkit-border-radius:3px 0 0 3px;-moz-border-radius:3px 0 0 3px;border-radius:3px 0 0 3px}.input-append .add-on:last-child,.input-append .btn:last-child{-webkit-border-radius:0 3px 3px 0;-moz-border-radius:0 3px 3px 0;border-radius:0 3px 3px 0}.input-prepend.input-append input,.input-prepend.input-append select,.input-prepend.input-append .uneditable-input{-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.input-prepend.input-append .add-on:first-child,.input-prepend.input-append .btn:first-child{margin-right:-1px;-webkit-border-radius:3px 0 0 3px;-moz-border-radius:3px 0 0 3px;border-radius:3px 0 0 3px}.input-prepend.input-append .add-on:last-child,.input-prepend.input-append .btn:last-child{margin-left:-1px;-webkit-border-radius:0 3px 3px 0;-moz-border-radius:0 3px 3px 0;border-radius:0 3px 3px 0}input.search-query{padding-right:14px;padding-right:4px \9;padding-left:14px;padding-left:4px \9;margin-bottom:0;-webkit-border-radius:15px;-moz-border-radius:15px;border-radius:15px}.form-search .input-append .search-query,.form-search .input-prepend .search-query{-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.form-search .input-append .search-query{-webkit-border-radius:14px 0 0 14px;-moz-border-radius:14px 0 0 14px;border-radius:14px 0 0 14px}.form-search .input-append .btn{-webkit-border-radius:0 14px 14px 0;-moz-border-radius:0 14px 14px 0;border-radius:0 14px 14px 0}.form-search .input-prepend .search-query{-webkit-border-radius:0 14px 14px 0;-moz-border-radius:0 14px 14px 0;border-radius:0 14px 14px 0}.form-search .input-prepend .btn{-webkit-border-radius:14px 0 0 14px;-moz-border-radius:14px 0 0 14px;border-radius:14px 0 0 14px}.form-search input,.form-inline input,.form-horizontal input,.form-search textarea,.form-inline textarea,.form-horizontal textarea,.form-search select,.form-inline select,.form-horizontal select,.form-search .help-inline,.form-inline .help-inline,.form-horizontal .help-inline,.form-search .uneditable-input,.form-inline .uneditable-input,.form-horizontal .uneditable-input,.form-search .input-prepend,.form-inline .input-prepend,.form-horizontal .input-prepend,.form-search .input-append,.form-inline .input-append,.form-horizontal .input-append{display:inline-block;*display:inline;margin-bottom:0;vertical-align:middle;*zoom:1}.form-search .hide,.form-inline .hide,.form-horizontal .hide{display:none}.form-search label,.form-inline label,.form-search .btn-group,.form-inline .btn-group{display:inline-block}.form-search .input-append,.form-inline .input-append,.form-search .input-prepend,.form-inline .input-prepend{margin-bottom:0}.form-search .radio,.form-search .checkbox,.form-inline .radio,.form-inline .checkbox{padding-left:0;margin-bottom:0;vertical-align:middle}.form-search .radio input[type="radio"],.form-search .checkbox input[type="checkbox"],.form-inline .radio input[type="radio"],.form-inline .checkbox input[type="checkbox"]{float:left;margin-right:3px;margin-left:0}.control-group{margin-bottom:10px}legend+.control-group{margin-top:20px;-webkit-margin-top-collapse:separate}.form-horizontal .control-group{margin-bottom:20px;*zoom:1}.form-horizontal .control-group:before,.form-horizontal .control-group:after{display:table;line-height:0;content:""}.form-horizontal .control-group:after{clear:both}.form-horizontal .control-label{float:left;width:140px;padding-top:5px;text-align:right}.form-horizontal .controls{*display:inline-block;*padding-left:20px;margin-left:160px;*margin-left:0}.form-horizontal .controls:first-child{*padding-left:160px}.form-horizontal .help-block{margin-top:10px;margin-bottom:0}.form-horizontal .form-actions{padding-left:160px}table{max-width:100%;background-color:transparent;border-collapse:collapse;border-spacing:0}.table{width:100%;margin-bottom:20px}.table th,.table td{padding:8px;line-height:20px;text-align:left;vertical-align:top;border-top:1px solid #ddd}.table th{font-weight:bold}.table thead th{vertical-align:bottom}.table caption+thead tr:first-child th,.table caption+thead tr:first-child td,.table colgroup+thead tr:first-child th,.table colgroup+thead tr:first-child td,.table thead:first-child tr:first-child th,.table thead:first-child tr:first-child td{border-top:0}.table tbody+tbody{border-top:2px solid #ddd}.table-condensed th,.table-condensed td{padding:4px 5px}.table-bordered{border:1px solid #ddd;border-collapse:separate;*border-collapse:collapse;border-left:0;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}.table-bordered th,.table-bordered td{border-left:1px solid #ddd}.table-bordered caption+thead tr:first-child th,.table-bordered caption+tbody tr:first-child th,.table-bordered caption+tbody tr:first-child td,.table-bordered colgroup+thead tr:first-child th,.table-bordered colgroup+tbody tr:first-child th,.table-bordered colgroup+tbody tr:first-child td,.table-bordered thead:first-child tr:first-child th,.table-bordered tbody:first-child tr:first-child th,.table-bordered tbody:first-child tr:first-child td{border-top:0}.table-bordered thead:first-child tr:first-child th:first-child,.table-bordered tbody:first-child tr:first-child td:first-child{-webkit-border-top-left-radius:4px;border-top-left-radius:4px;-moz-border-radius-topleft:4px}.table-bordered thead:first-child tr:first-child th:last-child,.table-bordered tbody:first-child tr:first-child td:last-child{-webkit-border-top-right-radius:4px;border-top-right-radius:4px;-moz-border-radius-topright:4px}.table-bordered thead:last-child tr:last-child th:first-child,.table-bordered tbody:last-child tr:last-child td:first-child,.table-bordered tfoot:last-child tr:last-child td:first-child{-webkit-border-radius:0 0 0 4px;-moz-border-radius:0 0 0 4px;border-radius:0 0 0 4px;-webkit-border-bottom-left-radius:4px;border-bottom-left-radius:4px;-moz-border-radius-bottomleft:4px}.table-bordered thead:last-child tr:last-child th:last-child,.table-bordered tbody:last-child tr:last-child td:last-child,.table-bordered tfoot:last-child tr:last-child td:last-child{-webkit-border-bottom-right-radius:4px;border-bottom-right-radius:4px;-moz-border-radius-bottomright:4px}.table-bordered caption+thead tr:first-child th:first-child,.table-bordered caption+tbody tr:first-child td:first-child,.table-bordered colgroup+thead tr:first-child th:first-child,.table-bordered colgroup+tbody tr:first-child td:first-child{-webkit-border-top-left-radius:4px;border-top-left-radius:4px;-moz-border-radius-topleft:4px}.table-bordered caption+thead tr:first-child th:last-child,.table-bordered caption+tbody tr:first-child td:last-child,.table-bordered colgroup+thead tr:first-child th:last-child,.table-bordered colgroup+tbody tr:first-child td:last-child{-webkit-border-top-right-radius:4px;border-top-right-radius:4px;-moz-border-right-topleft:4px}.table-striped tbody tr:nth-child(odd) td,.table-striped tbody tr:nth-child(odd) th{background-color:#f9f9f9}.table-hover tbody tr:hover td,.table-hover tbody tr:hover th{background-color:#f5f5f5}table [class*=span],.row-fluid table [class*=span]{display:table-cell;float:none;margin-left:0}table .span1{float:none;width:44px;margin-left:0}table .span2{float:none;width:124px;margin-left:0}table .span3{float:none;width:204px;margin-left:0}table .span4{float:none;width:284px;margin-left:0}table .span5{float:none;width:364px;margin-left:0}table .span6{float:none;width:444px;margin-left:0}table .span7{float:none;width:524px;margin-left:0}table .span8{float:none;width:604px;margin-left:0}table .span9{float:none;width:684px;margin-left:0}table .span10{float:none;width:764px;margin-left:0}table .span11{float:none;width:844px;margin-left:0}table .span12{float:none;width:924px;margin-left:0}table .span13{float:none;width:1004px;margin-left:0}table .span14{float:none;width:1084px;margin-left:0}table .span15{float:none;width:1164px;margin-left:0}table .span16{float:none;width:1244px;margin-left:0}table .span17{float:none;width:1324px;margin-left:0}table .span18{float:none;width:1404px;margin-left:0}table .span19{float:none;width:1484px;margin-left:0}table .span20{float:none;width:1564px;margin-left:0}table .span21{float:none;width:1644px;margin-left:0}table .span22{float:none;width:1724px;margin-left:0}table .span23{float:none;width:1804px;margin-left:0}table .span24{float:none;width:1884px;margin-left:0}.table tbody tr.success td{background-color:#dff0d8}.table tbody tr.error td{background-color:#f2dede}.table tbody tr.info td{background-color:#d9edf7}[class^="icon-"],[class*=" icon-"]{display:inline-block;width:14px;height:14px;margin-top:1px;*margin-right:.3em;line-height:14px;vertical-align:text-top;background-image:url("../img/glyphicons-halflings.png");background-position:14px 14px;background-repeat:no-repeat}.icon-white,.nav>.active>a>[class^="icon-"],.nav>.active>a>[class*=" icon-"],.dropdown-menu>li>a:hover>[class^="icon-"],.dropdown-menu>li>a:hover>[class*=" icon-"],.dropdown-menu>.active>a>[class^="icon-"],.dropdown-menu>.active>a>[class*=" icon-"]{background-image:url("../img/glyphicons-halflings-white.png")}.icon-glass{background-position:0 0}.icon-music{background-position:-24px 0}.icon-search{background-position:-48px 0}.icon-envelope{background-position:-72px 0}.icon-heart{background-position:-96px 0}.icon-star{background-position:-120px 0}.icon-star-empty{background-position:-144px 0}.icon-user{background-position:-168px 0}.icon-film{background-position:-192px 0}.icon-th-large{background-position:-216px 0}.icon-th{background-position:-240px 0}.icon-th-list{background-position:-264px 0}.icon-ok{background-position:-288px 0}.icon-remove{background-position:-312px 0}.icon-zoom-in{background-position:-336px 0}.icon-zoom-out{background-position:-360px 0}.icon-off{background-position:-384px 0}.icon-signal{background-position:-408px 0}.icon-cog{background-position:-432px 0}.icon-trash{background-position:-456px 0}.icon-home{background-position:0 -24px}.icon-file{background-position:-24px -24px}.icon-time{background-position:-48px -24px}.icon-road{background-position:-72px -24px}.icon-download-alt{background-position:-96px -24px}.icon-download{background-position:-120px -24px}.icon-upload{background-position:-144px -24px}.icon-inbox{background-position:-168px -24px}.icon-play-circle{background-position:-192px -24px}.icon-repeat{background-position:-216px -24px}.icon-refresh{background-position:-240px -24px}.icon-list-alt{background-position:-264px -24px}.icon-lock{background-position:-287px -24px}.icon-flag{background-position:-312px -24px}.icon-headphones{background-position:-336px -24px}.icon-volume-off{background-position:-360px -24px}.icon-volume-down{background-position:-384px -24px}.icon-volume-up{background-position:-408px -24px}.icon-qrcode{background-position:-432px -24px}.icon-barcode{background-position:-456px -24px}.icon-tag{background-position:0 -48px}.icon-tags{background-position:-25px -48px}.icon-book{background-position:-48px -48px}.icon-bookmark{background-position:-72px -48px}.icon-print{background-position:-96px -48px}.icon-camera{background-position:-120px -48px}.icon-font{background-position:-144px -48px}.icon-bold{background-position:-167px -48px}.icon-italic{background-position:-192px -48px}.icon-text-height{background-position:-216px -48px}.icon-text-width{background-position:-240px -48px}.icon-align-left{background-position:-264px -48px}.icon-align-center{background-position:-288px -48px}.icon-align-right{background-position:-312px -48px}.icon-align-justify{background-position:-336px -48px}.icon-list{background-position:-360px -48px}.icon-indent-left{background-position:-384px -48px}.icon-indent-right{background-position:-408px -48px}.icon-facetime-video{background-position:-432px -48px}.icon-picture{background-position:-456px -48px}.icon-pencil{background-position:0 -72px}.icon-map-marker{background-position:-24px -72px}.icon-adjust{background-position:-48px -72px}.icon-tint{background-position:-72px -72px}.icon-edit{background-position:-96px -72px}.icon-share{background-position:-120px -72px}.icon-check{background-position:-144px -72px}.icon-move{background-position:-168px -72px}.icon-step-backward{background-position:-192px -72px}.icon-fast-backward{background-position:-216px -72px}.icon-backward{background-position:-240px -72px}.icon-play{background-position:-264px -72px}.icon-pause{background-position:-288px -72px}.icon-stop{background-position:-312px -72px}.icon-forward{background-position:-336px -72px}.icon-fast-forward{background-position:-360px -72px}.icon-step-forward{background-position:-384px -72px}.icon-eject{background-position:-408px -72px}.icon-chevron-left{background-position:-432px -72px}.icon-chevron-right{background-position:-456px -72px}.icon-plus-sign{background-position:0 -96px}.icon-minus-sign{background-position:-24px -96px}.icon-remove-sign{background-position:-48px -96px}.icon-ok-sign{background-position:-72px -96px}.icon-question-sign{background-position:-96px -96px}.icon-info-sign{background-position:-120px -96px}.icon-screenshot{background-position:-144px -96px}.icon-remove-circle{background-position:-168px -96px}.icon-ok-circle{background-position:-192px -96px}.icon-ban-circle{background-position:-216px -96px}.icon-arrow-left{background-position:-240px -96px}.icon-arrow-right{background-position:-264px -96px}.icon-arrow-up{background-position:-289px -96px}.icon-arrow-down{background-position:-312px -96px}.icon-share-alt{background-position:-336px -96px}.icon-resize-full{background-position:-360px -96px}.icon-resize-small{background-position:-384px -96px}.icon-plus{background-position:-408px -96px}.icon-minus{background-position:-433px -96px}.icon-asterisk{background-position:-456px -96px}.icon-exclamation-sign{background-position:0 -120px}.icon-gift{background-position:-24px -120px}.icon-leaf{background-position:-48px -120px}.icon-fire{background-position:-72px -120px}.icon-eye-open{background-position:-96px -120px}.icon-eye-close{background-position:-120px -120px}.icon-warning-sign{background-position:-144px -120px}.icon-plane{background-position:-168px -120px}.icon-calendar{background-position:-192px -120px}.icon-random{width:16px;background-position:-216px -120px}.icon-comment{background-position:-240px -120px}.icon-magnet{background-position:-264px -120px}.icon-chevron-up{background-position:-288px -120px}.icon-chevron-down{background-position:-313px -119px}.icon-retweet{background-position:-336px -120px}.icon-shopping-cart{background-position:-360px -120px}.icon-folder-close{background-position:-384px -120px}.icon-folder-open{width:16px;background-position:-408px -120px}.icon-resize-vertical{background-position:-432px -119px}.icon-resize-horizontal{background-position:-456px -118px}.icon-hdd{background-position:0 -144px}.icon-bullhorn{background-position:-24px -144px}.icon-bell{background-position:-48px -144px}.icon-certificate{background-position:-72px -144px}.icon-thumbs-up{background-position:-96px -144px}.icon-thumbs-down{background-position:-120px -144px}.icon-hand-right{background-position:-144px -144px}.icon-hand-left{background-position:-168px -144px}.icon-hand-up{background-position:-192px -144px}.icon-hand-down{background-position:-216px -144px}.icon-circle-arrow-right{background-position:-240px -144px}.icon-circle-arrow-left{background-position:-264px -144px}.icon-circle-arrow-up{background-position:-288px -144px}.icon-circle-arrow-down{background-position:-312px -144px}.icon-globe{background-position:-336px -144px}.icon-wrench{background-position:-360px -144px}.icon-tasks{background-position:-384px -144px}.icon-filter{background-position:-408px -144px}.icon-briefcase{background-position:-432px -144px}.icon-fullscreen{background-position:-456px -144px}.dropup,.dropdown{position:relative}.dropdown-toggle{*margin-bottom:-3px}.dropdown-toggle:active,.open .dropdown-toggle{outline:0}.caret{display:inline-block;width:0;height:0;vertical-align:top;border-top:4px solid #000;border-right:4px solid transparent;border-left:4px solid transparent;content:""}.dropdown .caret{margin-top:8px;margin-left:2px}.dropdown-menu{position:absolute;top:100%;left:0;z-index:1000;display:none;float:left;min-width:160px;padding:5px 0;margin:2px 0 0;list-style:none;background-color:#fff;border:1px solid #ccc;border:1px solid rgba(0,0,0,0.2);*border-right-width:2px;*border-bottom-width:2px;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px;-webkit-box-shadow:0 5px 10px rgba(0,0,0,0.2);-moz-box-shadow:0 5px 10px rgba(0,0,0,0.2);box-shadow:0 5px 10px rgba(0,0,0,0.2);-webkit-background-clip:padding-box;-moz-background-clip:padding;background-clip:padding-box}.dropdown-menu.pull-right{right:0;left:auto}.dropdown-menu .divider{*width:100%;height:1px;margin:9px 1px;*margin:-5px 0 5px;overflow:hidden;background-color:#e5e5e5;border-bottom:1px solid #fff}.dropdown-menu a{display:block;padding:3px 20px;clear:both;font-weight:normal;line-height:20px;color:#333;white-space:nowrap}.dropdown-menu li>a:hover,.dropdown-menu li>a:focus,.dropdown-submenu:hover>a{color:#fff;text-decoration:none;background-color:#0098cc;background-color:#0098cc;background-image:-moz-linear-gradient(top,#0098cc,#0087b3);background-image:-webkit-gradient(linear,0 0,0 100%,from(#0098cc),to(#0087b3));background-image:-webkit-linear-gradient(top,#0098cc,#0087b3);background-image:-o-linear-gradient(top,#0098cc,#0087b3);background-image:linear-gradient(to bottom,#0098cc,#0087b3);background-repeat:repeat-x;filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ff0098cc',endColorstr='#ff0087b3',GradientType=0)}.dropdown-menu .active>a,.dropdown-menu .active>a:hover{color:#fff;text-decoration:none;background-color:#0098cc;background-color:#0081c2;background-image:linear-gradient(to bottom,#0098cc,#0087b3);background-image:-moz-linear-gradient(top,#0098cc,#0087b3);background-image:-webkit-gradient(linear,0 0,0 100%,from(#0098cc),to(#0087b3));background-image:-webkit-linear-gradient(top,#0098cc,#0087b3);background-image:-o-linear-gradient(top,#0098cc,#0087b3);background-repeat:repeat-x;outline:0;filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ff0098cc',endColorstr='#ff0087b3',GradientType=0)}.dropdown-menu .disabled>a,.dropdown-menu .disabled>a:hover{color:#999}.dropdown-menu .disabled>a:hover{text-decoration:none;cursor:default;background-color:transparent}.open{*z-index:1000}.open>.dropdown-menu{display:block}.pull-right>.dropdown-menu{right:0;left:auto}.dropup .caret,.navbar-fixed-bottom .dropdown .caret{border-top:0;border-bottom:4px solid #000;content:"\2191"}.dropup .dropdown-menu,.navbar-fixed-bottom .dropdown .dropdown-menu{top:auto;bottom:100%;margin-bottom:1px}.dropdown-submenu{position:relative}.dropdown-submenu>.dropdown-menu{top:0;left:100%;margin-top:-6px;margin-left:-1px;-webkit-border-radius:0 6px 6px 6px;-moz-border-radius:0 6px 6px 6px;border-radius:0 6px 6px 6px}.dropdown-submenu:hover .dropdown-menu{display:block}.dropdown-submenu>a:after{display:block;float:right;width:0;height:0;margin-top:5px;margin-right:-10px;border-color:transparent;border-left-color:#ccc;border-style:solid;border-width:5px 0 5px 5px;content:" "}.dropdown-submenu:hover>a:after{border-left-color:#fff}.dropdown .dropdown-menu .nav-header{padding-right:20px;padding-left:20px}.typeahead{margin-top:2px;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}.well{min-height:20px;padding:19px;margin-bottom:20px;background-color:#f5f5f5;border:1px solid #e3e3e3;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.05);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.05);box-shadow:inset 0 1px 1px rgba(0,0,0,0.05)}.well blockquote{border-color:#ddd;border-color:rgba(0,0,0,0.15)}.well-large{padding:24px;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px}.well-small{padding:9px;-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px}.fade{opacity:0;-webkit-transition:opacity .15s linear;-moz-transition:opacity .15s linear;-o-transition:opacity .15s linear;transition:opacity .15s linear}.fade.in{opacity:1}.collapse{position:relative;height:0;overflow:hidden;overflow:visible \9;-webkit-transition:height .35s ease;-moz-transition:height .35s ease;-o-transition:height .35s ease;transition:height .35s ease}.collapse.in{height:auto}.close{float:right;font-size:20px;font-weight:bold;line-height:20px;color:#000;text-shadow:0 1px 0 #fff;opacity:.2;filter:alpha(opacity=20)}.close:hover{color:#000;text-decoration:none;cursor:pointer;opacity:.4;filter:alpha(opacity=40)}button.close{padding:0;cursor:pointer;background:transparent;border:0;-webkit-appearance:none}.btn{display:inline-block;*display:inline;padding:4px 14px;margin-bottom:0;*margin-left:.3em;font-size:14px;line-height:20px;*line-height:20px;color:#333;text-align:center;text-shadow:0 1px 1px rgba(255,255,255,0.75);vertical-align:middle;cursor:pointer;background-color:#f5f5f5;*background-color:#e6e6e6;background-image:-webkit-gradient(linear,0 0,0 100%,from(#fff),to(#e6e6e6));background-image:-webkit-linear-gradient(top,#fff,#e6e6e6);background-image:-o-linear-gradient(top,#fff,#e6e6e6);background-image:linear-gradient(to bottom,#fff,#e6e6e6);background-image:-moz-linear-gradient(top,#fff,#e6e6e6);background-repeat:repeat-x;border:1px solid #bbb;*border:0;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);border-color:#e6e6e6 #e6e6e6 #bfbfbf;border-bottom-color:#a2a2a2;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ffffffff',endColorstr='#ffe6e6e6',GradientType=0);filter:progid:dximagetransform.microsoft.gradient(enabled=false);*zoom:1;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,0.2),0 1px 2px rgba(0,0,0,0.05);-moz-box-shadow:inset 0 1px 0 rgba(255,255,255,0.2),0 1px 2px rgba(0,0,0,0.05);box-shadow:inset 0 1px 0 rgba(255,255,255,0.2),0 1px 2px rgba(0,0,0,0.05)}.btn:hover,.btn:active,.btn.active,.btn.disabled,.btn[disabled]{color:#333;background-color:#e6e6e6;*background-color:#d9d9d9}.btn:active,.btn.active{background-color:#ccc \9}.btn:first-child{*margin-left:0}.btn:hover{color:#333;text-decoration:none;background-color:#e6e6e6;*background-color:#d9d9d9;background-position:0 -15px;-webkit-transition:background-position .1s linear;-moz-transition:background-position .1s linear;-o-transition:background-position .1s linear;transition:background-position .1s linear}.btn:focus{outline:thin dotted #333;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}.btn.active,.btn:active{background-color:#e6e6e6;background-color:#d9d9d9 \9;background-image:none;outline:0;-webkit-box-shadow:inset 0 2px 4px rgba(0,0,0,0.15),0 1px 2px rgba(0,0,0,0.05);-moz-box-shadow:inset 0 2px 4px rgba(0,0,0,0.15),0 1px 2px rgba(0,0,0,0.05);box-shadow:inset 0 2px 4px rgba(0,0,0,0.15),0 1px 2px rgba(0,0,0,0.05)}.btn.disabled,.btn[disabled]{cursor:default;background-color:#e6e6e6;background-image:none;opacity:.65;filter:alpha(opacity=65);-webkit-box-shadow:none;-moz-box-shadow:none;box-shadow:none}.btn-large{padding:9px 14px;font-size:16px;line-height:normal;-webkit-border-radius:5px;-moz-border-radius:5px;border-radius:5px}.btn-large [class^="icon-"]{margin-top:2px}.btn-small{padding:3px 9px;font-size:12px;line-height:18px}.btn-small [class^="icon-"]{margin-top:0}.btn-mini{padding:2px 6px;font-size:11px;line-height:16px}.btn-block{display:block;width:100%;padding-right:0;padding-left:0;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}.btn-block+.btn-block{margin-top:5px}.btn-primary.active,.btn-warning.active,.btn-danger.active,.btn-success.active,.btn-info.active,.btn-inverse.active{color:rgba(255,255,255,0.75)}.btn{border-color:#c5c5c5;border-color:rgba(0,0,0,0.15) rgba(0,0,0,0.15) rgba(0,0,0,0.25)}.btn-primary{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#006dcc;*background-color:#04c;background-image:-webkit-gradient(linear,0 0,0 100%,from(#08c),to(#04c));background-image:-webkit-linear-gradient(top,#08c,#04c);background-image:-o-linear-gradient(top,#08c,#04c);background-image:linear-gradient(to bottom,#08c,#04c);background-image:-moz-linear-gradient(top,#08c,#04c);background-repeat:repeat-x;border-color:#04c #04c #002a80;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ff0088cc',endColorstr='#ff0044cc',GradientType=0);filter:progid:dximagetransform.microsoft.gradient(enabled=false)}.btn-primary:hover,.btn-primary:active,.btn-primary.active,.btn-primary.disabled,.btn-primary[disabled]{color:#fff;background-color:#04c;*background-color:#003bb3}.btn-primary:active,.btn-primary.active{background-color:#039 \9}.btn-warning{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#faa732;*background-color:#f89406;background-image:-webkit-gradient(linear,0 0,0 100%,from(#fbb450),to(#f89406));background-image:-webkit-linear-gradient(top,#fbb450,#f89406);background-image:-o-linear-gradient(top,#fbb450,#f89406);background-image:linear-gradient(to bottom,#fbb450,#f89406);background-image:-moz-linear-gradient(top,#fbb450,#f89406);background-repeat:repeat-x;border-color:#f89406 #f89406 #ad6704;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:dximagetransform.microsoft.gradient(startColorstr='#fffbb450',endColorstr='#fff89406',GradientType=0);filter:progid:dximagetransform.microsoft.gradient(enabled=false)}.btn-warning:hover,.btn-warning:active,.btn-warning.active,.btn-warning.disabled,.btn-warning[disabled]{color:#fff;background-color:#f89406;*background-color:#df8505}.btn-warning:active,.btn-warning.active{background-color:#c67605 \9}.btn-danger{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#da4f49;*background-color:#bd362f;background-image:-webkit-gradient(linear,0 0,0 100%,from(#ee5f5b),to(#bd362f));background-image:-webkit-linear-gradient(top,#ee5f5b,#bd362f);background-image:-o-linear-gradient(top,#ee5f5b,#bd362f);background-image:linear-gradient(to bottom,#ee5f5b,#bd362f);background-image:-moz-linear-gradient(top,#ee5f5b,#bd362f);background-repeat:repeat-x;border-color:#bd362f #bd362f #802420;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ffee5f5b',endColorstr='#ffbd362f',GradientType=0);filter:progid:dximagetransform.microsoft.gradient(enabled=false)}.btn-danger:hover,.btn-danger:active,.btn-danger.active,.btn-danger.disabled,.btn-danger[disabled]{color:#fff;background-color:#bd362f;*background-color:#a9302a}.btn-danger:active,.btn-danger.active{background-color:#942a25 \9}.btn-success{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#5bb75b;*background-color:#51a351;background-image:-webkit-gradient(linear,0 0,0 100%,from(#62c462),to(#51a351));background-image:-webkit-linear-gradient(top,#62c462,#51a351);background-image:-o-linear-gradient(top,#62c462,#51a351);background-image:linear-gradient(to bottom,#62c462,#51a351);background-image:-moz-linear-gradient(top,#62c462,#51a351);background-repeat:repeat-x;border-color:#51a351 #51a351 #387038;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ff62c462',endColorstr='#ff51a351',GradientType=0);filter:progid:dximagetransform.microsoft.gradient(enabled=false)}.btn-success:hover,.btn-success:active,.btn-success.active,.btn-success.disabled,.btn-success[disabled]{color:#fff;background-color:#51a351;*background-color:#499249}.btn-success:active,.btn-success.active{background-color:#408140 \9}.btn-info{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#49afcd;*background-color:#2f96b4;background-image:-webkit-gradient(linear,0 0,0 100%,from(#5bc0de),to(#2f96b4));background-image:-webkit-linear-gradient(top,#5bc0de,#2f96b4);background-image:-o-linear-gradient(top,#5bc0de,#2f96b4);background-image:linear-gradient(to bottom,#5bc0de,#2f96b4);background-image:-moz-linear-gradient(top,#5bc0de,#2f96b4);background-repeat:repeat-x;border-color:#2f96b4 #2f96b4 #1f6377;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ff5bc0de',endColorstr='#ff2f96b4',GradientType=0);filter:progid:dximagetransform.microsoft.gradient(enabled=false)}.btn-info:hover,.btn-info:active,.btn-info.active,.btn-info.disabled,.btn-info[disabled]{color:#fff;background-color:#2f96b4;*background-color:#2a85a0}.btn-info:active,.btn-info.active{background-color:#24748c \9}.btn-inverse{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#363636;*background-color:#222;background-image:-webkit-gradient(linear,0 0,0 100%,from(#444),to(#222));background-image:-webkit-linear-gradient(top,#444,#222);background-image:-o-linear-gradient(top,#444,#222);background-image:linear-gradient(to bottom,#444,#222);background-image:-moz-linear-gradient(top,#444,#222);background-repeat:repeat-x;border-color:#222 #222 #000;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ff444444',endColorstr='#ff222222',GradientType=0);filter:progid:dximagetransform.microsoft.gradient(enabled=false)}.btn-inverse:hover,.btn-inverse:active,.btn-inverse.active,.btn-inverse.disabled,.btn-inverse[disabled]{color:#fff;background-color:#222;*background-color:#151515}.btn-inverse:active,.btn-inverse.active{background-color:#080808 \9}button.btn,input[type="submit"].btn{*padding-top:3px;*padding-bottom:3px}button.btn::-moz-focus-inner,input[type="submit"].btn::-moz-focus-inner{padding:0;border:0}button.btn.btn-large,input[type="submit"].btn.btn-large{*padding-top:7px;*padding-bottom:7px}button.btn.btn-small,input[type="submit"].btn.btn-small{*padding-top:3px;*padding-bottom:3px}button.btn.btn-mini,input[type="submit"].btn.btn-mini{*padding-top:1px;*padding-bottom:1px}.btn-link,.btn-link:active{background-color:transparent;background-image:none;-webkit-box-shadow:none;-moz-box-shadow:none;box-shadow:none}.btn-link{color:#08c;cursor:pointer;border-color:transparent;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.btn-link:hover{color:#005580;text-decoration:underline;background-color:transparent}.btn-group{position:relative;*margin-left:.3em;font-size:0;white-space:nowrap}.btn-group:first-child{*margin-left:0}.btn-group+.btn-group{margin-left:5px}.btn-toolbar{margin-top:10px;margin-bottom:10px;font-size:0}.btn-toolbar .btn-group{display:inline-block;*display:inline;*zoom:1}.btn-toolbar .btn+.btn,.btn-toolbar .btn-group+.btn,.btn-toolbar .btn+.btn-group{margin-left:5px}.btn-group>.btn{position:relative;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.btn-group>.btn+.btn{margin-left:-1px}.btn-group>.btn,.btn-group>.dropdown-menu{font-size:14px}.btn-group>.btn-mini{font-size:11px}.btn-group>.btn-small{font-size:12px}.btn-group>.btn-large{font-size:16px}.btn-group>.btn:first-child{margin-left:0;-webkit-border-bottom-left-radius:4px;border-bottom-left-radius:4px;-webkit-border-top-left-radius:4px;border-top-left-radius:4px;-moz-border-radius-bottomleft:4px;-moz-border-radius-topleft:4px}.btn-group>.btn:last-child,.btn-group>.dropdown-toggle{-webkit-border-top-right-radius:4px;border-top-right-radius:4px;-webkit-border-bottom-right-radius:4px;border-bottom-right-radius:4px;-moz-border-radius-topright:4px;-moz-border-radius-bottomright:4px}.btn-group>.btn.large:first-child{margin-left:0;-webkit-border-bottom-left-radius:6px;border-bottom-left-radius:6px;-webkit-border-top-left-radius:6px;border-top-left-radius:6px;-moz-border-radius-bottomleft:6px;-moz-border-radius-topleft:6px}.btn-group>.btn.large:last-child,.btn-group>.large.dropdown-toggle{-webkit-border-top-right-radius:6px;border-top-right-radius:6px;-webkit-border-bottom-right-radius:6px;border-bottom-right-radius:6px;-moz-border-radius-topright:6px;-moz-border-radius-bottomright:6px}.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active{z-index:2}.btn-group .dropdown-toggle:active,.btn-group.open .dropdown-toggle{outline:0}.btn-group>.btn+.dropdown-toggle{*padding-top:5px;padding-right:8px;*padding-bottom:5px;padding-left:8px;-webkit-box-shadow:inset 1px 0 0 rgba(255,255,255,0.125),inset 0 1px 0 rgba(255,255,255,0.2),0 1px 2px rgba(0,0,0,0.05);-moz-box-shadow:inset 1px 0 0 rgba(255,255,255,0.125),inset 0 1px 0 rgba(255,255,255,0.2),0 1px 2px rgba(0,0,0,0.05);box-shadow:inset 1px 0 0 rgba(255,255,255,0.125),inset 0 1px 0 rgba(255,255,255,0.2),0 1px 2px rgba(0,0,0,0.05)}.btn-group>.btn-mini+.dropdown-toggle{*padding-top:2px;padding-right:5px;*padding-bottom:2px;padding-left:5px}.btn-group>.btn-small+.dropdown-toggle{*padding-top:5px;*padding-bottom:4px}.btn-group>.btn-large+.dropdown-toggle{*padding-top:7px;padding-right:12px;*padding-bottom:7px;padding-left:12px}.btn-group.open .dropdown-toggle{background-image:none;-webkit-box-shadow:inset 0 2px 4px rgba(0,0,0,0.15),0 1px 2px rgba(0,0,0,0.05);-moz-box-shadow:inset 0 2px 4px rgba(0,0,0,0.15),0 1px 2px rgba(0,0,0,0.05);box-shadow:inset 0 2px 4px rgba(0,0,0,0.15),0 1px 2px rgba(0,0,0,0.05)}.btn-group.open .btn.dropdown-toggle{background-color:#e6e6e6}.btn-group.open .btn-primary.dropdown-toggle{background-color:#04c}.btn-group.open .btn-warning.dropdown-toggle{background-color:#f89406}.btn-group.open .btn-danger.dropdown-toggle{background-color:#bd362f}.btn-group.open .btn-success.dropdown-toggle{background-color:#51a351}.btn-group.open .btn-info.dropdown-toggle{background-color:#2f96b4}.btn-group.open .btn-inverse.dropdown-toggle{background-color:#222}.btn .caret{margin-top:8px;margin-left:0}.btn-mini .caret,.btn-small .caret,.btn-large .caret{margin-top:6px}.btn-large .caret{border-top-width:5px;border-right-width:5px;border-left-width:5px}.dropup .btn-large .caret{border-top:0;border-bottom:5px solid #000}.btn-primary .caret,.btn-warning .caret,.btn-danger .caret,.btn-info .caret,.btn-success .caret,.btn-inverse .caret{border-top-color:#fff;border-bottom-color:#fff}.btn-group-vertical{display:inline-block;*display:inline;*zoom:1}.btn-group-vertical .btn{display:block;float:none;width:100%;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.btn-group-vertical .btn+.btn{margin-top:-1px;margin-left:0}.btn-group-vertical .btn:first-child{-webkit-border-radius:4px 4px 0 0;-moz-border-radius:4px 4px 0 0;border-radius:4px 4px 0 0}.btn-group-vertical .btn:last-child{-webkit-border-radius:0 0 4px 4px;-moz-border-radius:0 0 4px 4px;border-radius:0 0 4px 4px}.btn-group-vertical .btn-large:first-child{-webkit-border-radius:6px 6px 0 0;-moz-border-radius:6px 6px 0 0;border-radius:6px 6px 0 0}.btn-group-vertical .btn-large:last-child{-webkit-border-radius:0 0 6px 6px;-moz-border-radius:0 0 6px 6px;border-radius:0 0 6px 6px}.alert{padding:8px 35px 8px 14px;margin-bottom:20px;color:#c09853;text-shadow:0 1px 0 rgba(255,255,255,0.5);background-color:#fcf8e3;border:1px solid #fbeed5;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}.alert h4{margin:0}.alert .close{position:relative;top:-2px;right:-21px;line-height:20px}.alert-success{color:#468847;background-color:#dff0d8;border-color:#d6e9c6}.alert-danger,.alert-error{color:#b94a48;background-color:#f2dede;border-color:#eed3d7}.alert-info{color:#3a87ad;background-color:#d9edf7;border-color:#bce8f1}.alert-block{padding-top:14px;padding-bottom:14px}.alert-block>p,.alert-block>ul{margin-bottom:0}.alert-block p+p{margin-top:5px}.nav{margin-bottom:20px;margin-left:0;list-style:none}.nav>li>a{display:block}.nav>li>a:hover{text-decoration:none;background-color:#eee}.nav>.pull-right{float:right}.nav-header{display:block;padding:3px 15px;font-size:11px;font-weight:bold;line-height:20px;color:#999;text-shadow:0 1px 0 rgba(255,255,255,0.5);text-transform:uppercase}.nav li+.nav-header{margin-top:9px}.nav-list{padding-right:15px;padding-left:15px;margin-bottom:0}.nav-list>li>a,.nav-list .nav-header{margin-right:-15px;margin-left:-15px;text-shadow:0 1px 0 rgba(255,255,255,0.5)}.nav-list>li>a{padding:3px 15px}.nav-list>.active>a,.nav-list>.active>a:hover{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.2);background-color:#08c}.nav-list [class^="icon-"]{margin-right:2px}.nav-list .divider{*width:100%;height:1px;margin:9px 1px;*margin:-5px 0 5px;overflow:hidden;background-color:#e5e5e5;border-bottom:1px solid #fff}.nav-tabs,.nav-pills{*zoom:1}.nav-tabs:before,.nav-pills:before,.nav-tabs:after,.nav-pills:after{display:table;line-height:0;content:""}.nav-tabs:after,.nav-pills:after{clear:both}.nav-tabs>li,.nav-pills>li{float:left}.nav-tabs>li>a,.nav-pills>li>a{padding-right:12px;padding-left:12px;margin-right:2px;line-height:14px}.nav-tabs{border-bottom:1px solid #ddd}.nav-tabs>li{margin-bottom:-1px}.nav-tabs>li>a{padding-top:8px;padding-bottom:8px;line-height:20px;border:1px solid transparent;-webkit-border-radius:4px 4px 0 0;-moz-border-radius:4px 4px 0 0;border-radius:4px 4px 0 0}.nav-tabs>li>a:hover{border-color:#eee #eee #ddd}.nav-tabs>.active>a,.nav-tabs>.active>a:hover{color:#555;cursor:default;background-color:#fff;border:1px solid #ddd;border-bottom-color:transparent}.nav-pills>li>a{padding-top:8px;padding-bottom:8px;margin-top:2px;margin-bottom:2px;-webkit-border-radius:5px;-moz-border-radius:5px;border-radius:5px}.nav-pills>.active>a,.nav-pills>.active>a:hover{color:#fff;background-color:#08c}.nav-stacked>li{float:none}.nav-stacked>li>a{margin-right:0}.nav-tabs.nav-stacked{border-bottom:0}.nav-tabs.nav-stacked>li>a{border:1px solid #ddd;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.nav-tabs.nav-stacked>li:first-child>a{-webkit-border-top-right-radius:4px;border-top-right-radius:4px;-webkit-border-top-left-radius:4px;border-top-left-radius:4px;-moz-border-radius-topright:4px;-moz-border-radius-topleft:4px}.nav-tabs.nav-stacked>li:last-child>a{-webkit-border-bottom-right-radius:4px;border-bottom-right-radius:4px;-webkit-border-bottom-left-radius:4px;border-bottom-left-radius:4px;-moz-border-radius-bottomright:4px;-moz-border-radius-bottomleft:4px}.nav-tabs.nav-stacked>li>a:hover{z-index:2;border-color:#ddd}.nav-pills.nav-stacked>li>a{margin-bottom:3px}.nav-pills.nav-stacked>li:last-child>a{margin-bottom:1px}.nav-tabs .dropdown-menu{-webkit-border-radius:0 0 6px 6px;-moz-border-radius:0 0 6px 6px;border-radius:0 0 6px 6px}.nav-pills .dropdown-menu{-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px}.nav .dropdown-toggle .caret{margin-top:6px;border-top-color:#08c;border-bottom-color:#08c}.nav .dropdown-toggle:hover .caret{border-top-color:#005580;border-bottom-color:#005580}.nav-tabs .dropdown-toggle .caret{margin-top:8px}.nav .active .dropdown-toggle .caret{border-top-color:#fff;border-bottom-color:#fff}.nav-tabs .active .dropdown-toggle .caret{border-top-color:#555;border-bottom-color:#555}.nav>.dropdown.active>a:hover{cursor:pointer}.nav-tabs .open .dropdown-toggle,.nav-pills .open .dropdown-toggle,.nav>li.dropdown.open.active>a:hover{color:#fff;background-color:#999;border-color:#999}.nav li.dropdown.open .caret,.nav li.dropdown.open.active .caret,.nav li.dropdown.open a:hover .caret{border-top-color:#fff;border-bottom-color:#fff;opacity:1;filter:alpha(opacity=100)}.tabs-stacked .open>a:hover{border-color:#999}.tabbable{*zoom:1}.tabbable:before,.tabbable:after{display:table;line-height:0;content:""}.tabbable:after{clear:both}.tab-content{overflow:auto}.tabs-below>.nav-tabs,.tabs-right>.nav-tabs,.tabs-left>.nav-tabs{border-bottom:0}.tab-content>.tab-pane,.pill-content>.pill-pane{display:none}.tab-content>.active,.pill-content>.active{display:block}.tabs-below>.nav-tabs{border-top:1px solid #ddd}.tabs-below>.nav-tabs>li{margin-top:-1px;margin-bottom:0}.tabs-below>.nav-tabs>li>a{-webkit-border-radius:0 0 4px 4px;-moz-border-radius:0 0 4px 4px;border-radius:0 0 4px 4px}.tabs-below>.nav-tabs>li>a:hover{border-top-color:#ddd;border-bottom-color:transparent}.tabs-below>.nav-tabs>.active>a,.tabs-below>.nav-tabs>.active>a:hover{border-color:transparent #ddd #ddd #ddd}.tabs-left>.nav-tabs>li,.tabs-right>.nav-tabs>li{float:none}.tabs-left>.nav-tabs>li>a,.tabs-right>.nav-tabs>li>a{min-width:74px;margin-right:0;margin-bottom:3px}.tabs-left>.nav-tabs{float:left;margin-right:19px;border-right:1px solid #ddd}.tabs-left>.nav-tabs>li>a{margin-right:-1px;-webkit-border-radius:4px 0 0 4px;-moz-border-radius:4px 0 0 4px;border-radius:4px 0 0 4px}.tabs-left>.nav-tabs>li>a:hover{border-color:#eee #ddd #eee #eee}.tabs-left>.nav-tabs .active>a,.tabs-left>.nav-tabs .active>a:hover{border-color:#ddd transparent #ddd #ddd;*border-right-color:#fff}.tabs-right>.nav-tabs{float:right;margin-left:19px;border-left:1px solid #ddd}.tabs-right>.nav-tabs>li>a{margin-left:-1px;-webkit-border-radius:0 4px 4px 0;-moz-border-radius:0 4px 4px 0;border-radius:0 4px 4px 0}.tabs-right>.nav-tabs>li>a:hover{border-color:#eee #eee #eee #ddd}.tabs-right>.nav-tabs .active>a,.tabs-right>.nav-tabs .active>a:hover{border-color:#ddd #ddd #ddd transparent;*border-left-color:#fff}.nav>.disabled>a{color:#999}.nav>.disabled>a:hover{text-decoration:none;cursor:default;background-color:transparent}.navbar{*position:relative;*z-index:2;margin-bottom:20px;overflow:visible;color:#555}.navbar-inner{min-height:40px;padding-right:20px;padding-left:20px;background-color:#fafafa;background-image:-moz-linear-gradient(top,#fff,#e2f2e2);background-image:-webkit-gradient(linear,0 0,0 100%,from(#fff),to(#e2f2e2));background-image:-webkit-linear-gradient(top,#fff,#e2f2e2);background-image:-o-linear-gradient(top,#fff,#e2f2e2);background-image:linear-gradient(to bottom,#fff,#e2f2e2);background-repeat:repeat-x;border:1px solid #d4d4d4;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ffffddff',endColorstr='#ffe2f2e2',GradientType=0);-webkit-box-shadow:0 1px 4px rgba(0,0,0,0.065);-moz-box-shadow:0 1px 4px rgba(0,0,0,0.065);box-shadow:0 1px 4px rgba(0,0,0,0.065)}.navbar .container{width:auto}.nav-collapse.collapse{height:auto}.navbar .brand{display:block;float:left;padding:10px 20px 10px;margin-left:-20px;font-size:20px;font-weight:200;color:#555;text-shadow:0 1px 0 #fff}.navbar .brand:hover{text-decoration:none}.navbar-text{margin-bottom:0;line-height:40px}.navbar-link{color:#555}.navbar-link:hover{color:#333}.navbar .divider-vertical{height:40px;margin:0 9px;border-right:1px solid #fff;border-left:1px solid #f2f2f2}.navbar .btn,.navbar .btn-group{margin-top:6px}.navbar .btn-group .btn{margin:0}.navbar-form{margin-bottom:0;*zoom:1}.navbar-form:before,.navbar-form:after{display:table;line-height:0;content:""}.navbar-form:after{clear:both}.navbar-form input,.navbar-form select,.navbar-form .radio,.navbar-form .checkbox{margin-top:5px}.navbar-form input,.navbar-form select,.navbar-form .btn{display:inline-block;margin-bottom:0}.navbar-form input[type="image"],.navbar-form input[type="checkbox"],.navbar-form input[type="radio"]{margin-top:3px}.navbar-form .input-append,.navbar-form .input-prepend{margin-top:6px;white-space:nowrap}.navbar-form .input-append input,.navbar-form .input-prepend input{margin-top:0}.navbar-search{position:relative;float:left;margin-top:5px;margin-bottom:0}.navbar-search .search-query{padding:4px 14px;margin-bottom:0;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:13px;font-weight:normal;line-height:1;-webkit-border-radius:15px;-moz-border-radius:15px;border-radius:15px}.navbar-static-top{position:static;width:100%;margin-bottom:0}.navbar-static-top .navbar-inner{-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.navbar-fixed-top,.navbar-fixed-bottom{position:fixed;right:0;left:0;z-index:1030;margin-bottom:0}.navbar-fixed-top .navbar-inner,.navbar-fixed-bottom .navbar-inner,.navbar-static-top .navbar-inner{border:0}.navbar-fixed-top .navbar-inner,.navbar-fixed-bottom .navbar-inner{padding-right:0;padding-left:0;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.navbar-static-top .container,.navbar-fixed-top .container,.navbar-fixed-bottom .container{width:940px}.navbar-fixed-top{top:0}.navbar-fixed-top .navbar-inner,.navbar-static-top .navbar-inner{-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,0.1),0 1px 10px rgba(0,0,0,0.1);-moz-box-shadow:inset 0 -1px 0 rgba(0,0,0,0.1),0 1px 10px rgba(0,0,0,0.1);box-shadow:inset 0 -1px 0 rgba(0,0,0,0.1),0 1px 10px rgba(0,0,0,0.1)}.navbar-fixed-bottom{bottom:0}.navbar-fixed-bottom .navbar-inner{-webkit-box-shadow:inset 0 1px 0 rgba(0,0,0,0.1),0 -1px 10px rgba(0,0,0,0.1);-moz-box-shadow:inset 0 1px 0 rgba(0,0,0,0.1),0 -1px 10px rgba(0,0,0,0.1);box-shadow:inset 0 1px 0 rgba(0,0,0,0.1),0 -1px 10px rgba(0,0,0,0.1)}.navbar .nav{position:relative;left:0;display:block;float:left;margin:0 10px 0 0}.navbar .nav.pull-right{float:right}.navbar .nav>li{float:left}.navbar .nav>li>a{float:none;padding:10px 15px 10px;color:#555;text-decoration:none;text-shadow:0 1px 0 #fff}.navbar .nav .dropdown-toggle .caret{margin-top:8px}.navbar .nav>li>a:focus,.navbar .nav>li>a:hover{color:#333;text-decoration:none;background-color:transparent}.navbar .nav>.active>a,.navbar .nav>.active>a:hover,.navbar .nav>.active>a:focus{color:#555;text-decoration:none;background-color:#e5e5e5;-webkit-box-shadow:inset 0 3px 8px rgba(0,0,0,0.125);-moz-box-shadow:inset 0 3px 8px rgba(0,0,0,0.125);box-shadow:inset 0 3px 8px rgba(0,0,0,0.125)}.navbar .btn-navbar{display:none;float:right;padding:7px 10px;margin-right:5px;margin-left:5px;color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#ededed;*background-color:#e5e5e5;background-image:-webkit-gradient(linear,0 0,0 100%,from(#f2f2f2),to(#e5e5e5));background-image:-webkit-linear-gradient(top,#f2f2f2,#e5e5e5);background-image:-o-linear-gradient(top,#f2f2f2,#e5e5e5);background-image:linear-gradient(to bottom,#f2f2f2,#e5e5e5);background-image:-moz-linear-gradient(top,#f2f2f2,#e5e5e5);background-repeat:repeat-x;border-color:#e5e5e5 #e5e5e5 #bfbfbf;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:dximagetransform.microsoft.gradient(startColorstr='#fff2f2f2',endColorstr='#ffe5e5e5',GradientType=0);filter:progid:dximagetransform.microsoft.gradient(enabled=false);-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,0.1),0 1px 0 rgba(255,255,255,0.075);-moz-box-shadow:inset 0 1px 0 rgba(255,255,255,0.1),0 1px 0 rgba(255,255,255,0.075);box-shadow:inset 0 1px 0 rgba(255,255,255,0.1),0 1px 0 rgba(255,255,255,0.075)}.navbar .btn-navbar:hover,.navbar .btn-navbar:active,.navbar .btn-navbar.active,.navbar .btn-navbar.disabled,.navbar .btn-navbar[disabled]{color:#fff;background-color:#e5e5e5;*background-color:#d9d9d9}.navbar .btn-navbar:active,.navbar .btn-navbar.active{background-color:#ccc \9}.navbar .btn-navbar .icon-bar{display:block;width:18px;height:2px;background-color:#f5f5f5;-webkit-border-radius:1px;-moz-border-radius:1px;border-radius:1px;-webkit-box-shadow:0 1px 0 rgba(0,0,0,0.25);-moz-box-shadow:0 1px 0 rgba(0,0,0,0.25);box-shadow:0 1px 0 rgba(0,0,0,0.25)}.btn-navbar .icon-bar+.icon-bar{margin-top:3px}.navbar .nav>li>.dropdown-menu:before{position:absolute;top:-7px;left:9px;display:inline-block;border-right:7px solid transparent;border-bottom:7px solid #ccc;border-left:7px solid transparent;border-bottom-color:rgba(0,0,0,0.2);content:''}.navbar .nav>li>.dropdown-menu:after{position:absolute;top:-6px;left:10px;display:inline-block;border-right:6px solid transparent;border-bottom:6px solid #fff;border-left:6px solid transparent;content:''}.navbar-fixed-bottom .nav>li>.dropdown-menu:before{top:auto;bottom:-7px;border-top:7px solid #ccc;border-bottom:0;border-top-color:rgba(0,0,0,0.2)}.navbar-fixed-bottom .nav>li>.dropdown-menu:after{top:auto;bottom:-6px;border-top:6px solid #fff;border-bottom:0}.navbar .nav li.dropdown.open>.dropdown-toggle,.navbar .nav li.dropdown.active>.dropdown-toggle,.navbar .nav li.dropdown.open.active>.dropdown-toggle{color:#555;background-color:#e5e5e5}.navbar .nav li.dropdown>.dropdown-toggle .caret{border-top-color:#555;border-bottom-color:#555}.navbar .nav li.dropdown.open>.dropdown-toggle .caret,.navbar .nav li.dropdown.active>.dropdown-toggle .caret,.navbar .nav li.dropdown.open.active>.dropdown-toggle .caret{border-top-color:#555;border-bottom-color:#555}.navbar .pull-right>li>.dropdown-menu,.navbar .nav>li>.dropdown-menu.pull-right{right:0;left:auto}.navbar .pull-right>li>.dropdown-menu:before,.navbar .nav>li>.dropdown-menu.pull-right:before{right:12px;left:auto}.navbar .pull-right>li>.dropdown-menu:after,.navbar .nav>li>.dropdown-menu.pull-right:after{right:13px;left:auto}.navbar .pull-right>li>.dropdown-menu .dropdown-menu,.navbar .nav>li>.dropdown-menu.pull-right .dropdown-menu{right:100%;left:auto;margin-right:-1px;margin-left:0;-webkit-border-radius:6px 0 6px 6px;-moz-border-radius:6px 0 6px 6px;border-radius:6px 0 6px 6px}.navbar-inverse{color:#999}.navbar-inverse .navbar-inner{background-color:#1b1b1b;background-image:-moz-linear-gradient(top,#222,#111);background-image:-webkit-gradient(linear,0 0,0 100%,from(#222),to(#111));background-image:-webkit-linear-gradient(top,#222,#111);background-image:-o-linear-gradient(top,#222,#111);background-image:linear-gradient(to bottom,#222,#111);background-repeat:repeat-x;border-color:#252525;filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ff222222',endColorstr='#ff111111',GradientType=0)}.navbar-inverse .brand,.navbar-inverse .nav>li>a{color:#999;text-shadow:0 -1px 0 rgba(0,0,0,0.25)}.navbar-inverse .brand:hover,.navbar-inverse .nav>li>a:hover{color:#fff}.navbar-inverse .nav>li>a:focus,.navbar-inverse .nav>li>a:hover{color:#fff;background-color:transparent}.navbar-inverse .nav .active>a,.navbar-inverse .nav .active>a:hover,.navbar-inverse .nav .active>a:focus{color:#fff;background-color:#111}.navbar-inverse .navbar-link{color:#999}.navbar-inverse .navbar-link:hover{color:#fff}.navbar-inverse .divider-vertical{border-right-color:#222;border-left-color:#111}.navbar-inverse .nav li.dropdown.open>.dropdown-toggle,.navbar-inverse .nav li.dropdown.active>.dropdown-toggle,.navbar-inverse .nav li.dropdown.open.active>.dropdown-toggle{color:#fff;background-color:#111}.navbar-inverse .nav li.dropdown>.dropdown-toggle .caret{border-top-color:#999;border-bottom-color:#999}.navbar-inverse .nav li.dropdown.open>.dropdown-toggle .caret,.navbar-inverse .nav li.dropdown.active>.dropdown-toggle .caret,.navbar-inverse .nav li.dropdown.open.active>.dropdown-toggle .caret{border-top-color:#fff;border-bottom-color:#fff}.navbar-inverse .navbar-search .search-query{color:#fff;background-color:#515151;border-color:#111;-webkit-box-shadow:inset 0 1px 2px rgba(0,0,0,0.1),0 1px 0 rgba(255,255,255,0.15);-moz-box-shadow:inset 0 1px 2px rgba(0,0,0,0.1),0 1px 0 rgba(255,255,255,0.15);box-shadow:inset 0 1px 2px rgba(0,0,0,0.1),0 1px 0 rgba(255,255,255,0.15);-webkit-transition:none;-moz-transition:none;-o-transition:none;transition:none}.navbar-inverse .navbar-search .search-query:-moz-placeholder{color:#ccc}.navbar-inverse .navbar-search .search-query:-ms-input-placeholder{color:#ccc}.navbar-inverse .navbar-search .search-query::-webkit-input-placeholder{color:#ccc}.navbar-inverse .navbar-search .search-query:focus,.navbar-inverse .navbar-search .search-query.focused{padding:5px 15px;color:#333;text-shadow:0 1px 0 #fff;background-color:#fff;border:0;outline:0;-webkit-box-shadow:0 0 3px rgba(0,0,0,0.15);-moz-box-shadow:0 0 3px rgba(0,0,0,0.15);box-shadow:0 0 3px rgba(0,0,0,0.15)}.navbar-inverse .btn-navbar{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#0e0e0e;*background-color:#040404;background-image:-webkit-gradient(linear,0 0,0 100%,from(#151515),to(#040404));background-image:-webkit-linear-gradient(top,#151515,#040404);background-image:-o-linear-gradient(top,#151515,#040404);background-image:linear-gradient(to bottom,#151515,#040404);background-image:-moz-linear-gradient(top,#151515,#040404);background-repeat:repeat-x;border-color:#040404 #040404 #000;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ff151515',endColorstr='#ff040404',GradientType=0);filter:progid:dximagetransform.microsoft.gradient(enabled=false)}.navbar-inverse .btn-navbar:hover,.navbar-inverse .btn-navbar:active,.navbar-inverse .btn-navbar.active,.navbar-inverse .btn-navbar.disabled,.navbar-inverse .btn-navbar[disabled]{color:#fff;background-color:#040404;*background-color:#000}.navbar-inverse .btn-navbar:active,.navbar-inverse .btn-navbar.active{background-color:#000 \9}.breadcrumb{padding:8px 15px;margin:0 0 20px;list-style:none;background-color:#f5f5f5;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}.breadcrumb li{display:inline-block;*display:inline;text-shadow:0 1px 0 #fff;*zoom:1}.breadcrumb .divider{padding:0 5px;color:#ccc}.breadcrumb .active{color:#999}.pagination{height:40px;margin:20px 0}.pagination ul{display:inline-block;*display:inline;margin-bottom:0;margin-left:0;-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px;*zoom:1;-webkit-box-shadow:0 1px 2px rgba(0,0,0,0.05);-moz-box-shadow:0 1px 2px rgba(0,0,0,0.05);box-shadow:0 1px 2px rgba(0,0,0,0.05)}.pagination li{display:inline}.pagination a,.pagination span{float:left;padding:0 14px;line-height:38px;text-decoration:none;background-color:#fff;border:1px solid #ddd;border-left-width:0}.pagination a:hover,.pagination .active a,.pagination .active span{background-color:#f5f5f5}.pagination .active a,.pagination .active span{color:#999;cursor:default}.pagination .disabled span,.pagination .disabled a,.pagination .disabled a:hover{color:#999;cursor:default;background-color:transparent}.pagination li:first-child a,.pagination li:first-child span{border-left-width:1px;-webkit-border-radius:3px 0 0 3px;-moz-border-radius:3px 0 0 3px;border-radius:3px 0 0 3px}.pagination li:last-child a,.pagination li:last-child span{-webkit-border-radius:0 3px 3px 0;-moz-border-radius:0 3px 3px 0;border-radius:0 3px 3px 0}.pagination-centered{text-align:center}.pagination-right{text-align:right}.pager{margin:20px 0;text-align:center;list-style:none;*zoom:1}.pager:before,.pager:after{display:table;line-height:0;content:""}.pager:after{clear:both}.pager li{display:inline}.pager a{display:inline-block;padding:5px 14px;background-color:#fff;border:1px solid #ddd;-webkit-border-radius:15px;-moz-border-radius:15px;border-radius:15px}.pager a:hover{text-decoration:none;background-color:#f5f5f5}.pager .next a{float:right}.pager .previous a{float:left}.pager .disabled a,.pager .disabled a:hover{color:#999;cursor:default;background-color:#fff}.modal-open .dropdown-menu{z-index:2050}.modal-open .dropdown.open{*z-index:2050}.modal-open .popover{z-index:2060}.modal-open .tooltip{z-index:2080}.modal-backdrop{position:fixed;top:0;right:0;bottom:0;left:0;z-index:1040;background-color:#000}.modal-backdrop.fade{opacity:0}.modal-backdrop,.modal-backdrop.fade.in{opacity:.8;filter:alpha(opacity=80)}.modal{position:fixed;top:50%;left:50%;z-index:1050;width:560px;margin:-250px 0 0 -280px;overflow:auto;background-color:#fff;border:1px solid #999;border:1px solid rgba(0,0,0,0.3);*border:1px solid #999;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px;-webkit-box-shadow:0 3px 7px rgba(0,0,0,0.3);-moz-box-shadow:0 3px 7px rgba(0,0,0,0.3);box-shadow:0 3px 7px rgba(0,0,0,0.3);-webkit-background-clip:padding-box;-moz-background-clip:padding-box;background-clip:padding-box}.modal.fade{top:-25%;-webkit-transition:opacity .3s linear,top .3s ease-out;-moz-transition:opacity .3s linear,top .3s ease-out;-o-transition:opacity .3s linear,top .3s ease-out;transition:opacity .3s linear,top .3s ease-out}.modal.fade.in{top:50%}.modal-header{padding:9px 15px;border-bottom:1px solid #eee}.modal-header .close{margin-top:2px}.modal-header h3{margin:0;line-height:30px}.modal-body{max-height:400px;padding:15px;overflow-y:auto}.modal-form{margin-bottom:0}.modal-footer{padding:14px 15px 15px;margin-bottom:0;text-align:right;background-color:#f5f5f5;border-top:1px solid #ddd;-webkit-border-radius:0 0 6px 6px;-moz-border-radius:0 0 6px 6px;border-radius:0 0 6px 6px;*zoom:1;-webkit-box-shadow:inset 0 1px 0 #fff;-moz-box-shadow:inset 0 1px 0 #fff;box-shadow:inset 0 1px 0 #fff}.modal-footer:before,.modal-footer:after{display:table;line-height:0;content:""}.modal-footer:after{clear:both}.modal-footer .btn+.btn{margin-bottom:0;margin-left:5px}.modal-footer .btn-group .btn+.btn{margin-left:-1px}.tooltip{position:absolute;z-index:1030;display:block;padding:5px;font-size:11px;opacity:0;filter:alpha(opacity=0);visibility:visible}.tooltip.in{opacity:.8;filter:alpha(opacity=80)}.tooltip.top{margin-top:-3px}.tooltip.right{margin-left:3px}.tooltip.bottom{margin-top:3px}.tooltip.left{margin-left:-3px}.tooltip-inner{max-width:200px;padding:3px 8px;color:#fff;text-align:center;text-decoration:none;background-color:#000;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}.tooltip-arrow{position:absolute;width:0;height:0;border-color:transparent;border-style:solid}.tooltip.top .tooltip-arrow{bottom:0;left:50%;margin-left:-5px;border-top-color:#000;border-width:5px 5px 0}.tooltip.right .tooltip-arrow{top:50%;left:0;margin-top:-5px;border-right-color:#000;border-width:5px 5px 5px 0}.tooltip.left .tooltip-arrow{top:50%;right:0;margin-top:-5px;border-left-color:#000;border-width:5px 0 5px 5px}.tooltip.bottom .tooltip-arrow{top:0;left:50%;margin-left:-5px;border-bottom-color:#000;border-width:0 5px 5px}.popover{position:absolute;top:0;left:0;z-index:1010;display:none;width:236px;padding:1px;background-color:#fff;border:1px solid #ccc;border:1px solid rgba(0,0,0,0.2);-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px;-webkit-box-shadow:0 5px 10px rgba(0,0,0,0.2);-moz-box-shadow:0 5px 10px rgba(0,0,0,0.2);box-shadow:0 5px 10px rgba(0,0,0,0.2);-webkit-background-clip:padding-box;-moz-background-clip:padding;background-clip:padding-box}.popover.top{margin-bottom:10px}.popover.right{margin-left:10px}.popover.bottom{margin-top:10px}.popover.left{margin-right:10px}.popover-title{padding:8px 14px;margin:0;font-size:14px;font-weight:normal;line-height:18px;background-color:#f7f7f7;border-bottom:1px solid #ebebeb;-webkit-border-radius:5px 5px 0 0;-moz-border-radius:5px 5px 0 0;border-radius:5px 5px 0 0}.popover-content{padding:9px 14px}.popover-content p,.popover-content ul,.popover-content ol{margin-bottom:0}.popover .arrow,.popover .arrow:after{position:absolute;display:inline-block;width:0;height:0;border-color:transparent;border-style:solid}.popover .arrow:after{z-index:-1;content:""}.popover.top .arrow{bottom:-10px;left:50%;margin-left:-10px;border-top-color:#fff;border-width:10px 10px 0}.popover.top .arrow:after{bottom:-1px;left:-11px;border-top-color:rgba(0,0,0,0.25);border-width:11px 11px 0}.popover.right .arrow{top:50%;left:-10px;margin-top:-10px;border-right-color:#fff;border-width:10px 10px 10px 0}.popover.right .arrow:after{bottom:-11px;left:-1px;border-right-color:rgba(0,0,0,0.25);border-width:11px 11px 11px 0}.popover.bottom .arrow{top:-10px;left:50%;margin-left:-10px;border-bottom-color:#fff;border-width:0 10px 10px}.popover.bottom .arrow:after{top:-1px;left:-11px;border-bottom-color:rgba(0,0,0,0.25);border-width:0 11px 11px}.popover.left .arrow{top:50%;right:-10px;margin-top:-10px;border-left-color:#fff;border-width:10px 0 10px 10px}.popover.left .arrow:after{right:-1px;bottom:-11px;border-left-color:rgba(0,0,0,0.25);border-width:11px 0 11px 11px}.thumbnails{margin-left:-20px;list-style:none;*zoom:1}.thumbnails:before,.thumbnails:after{display:table;line-height:0;content:""}.thumbnails:after{clear:both}.row-fluid .thumbnails{margin-left:0}.thumbnails>li{float:left;margin-bottom:20px;margin-left:20px}.thumbnail{display:block;padding:4px;line-height:20px;border:1px solid #ddd;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;-webkit-box-shadow:0 1px 3px rgba(0,0,0,0.055);-moz-box-shadow:0 1px 3px rgba(0,0,0,0.055);box-shadow:0 1px 3px rgba(0,0,0,0.055);-webkit-transition:all .2s ease-in-out;-moz-transition:all .2s ease-in-out;-o-transition:all .2s ease-in-out;transition:all .2s ease-in-out}a.thumbnail:hover{border-color:#08c;-webkit-box-shadow:0 1px 4px rgba(0,105,214,0.25);-moz-box-shadow:0 1px 4px rgba(0,105,214,0.25);box-shadow:0 1px 4px rgba(0,105,214,0.25)}.thumbnail>img{display:block;max-width:100%;margin-right:auto;margin-left:auto}.thumbnail .caption{padding:9px;color:#555}.label,.badge{font-size:11.844px;font-weight:bold;line-height:14px;color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);white-space:nowrap;vertical-align:baseline;background-color:#999}.label{padding:1px 4px 2px;-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px}.badge{padding:1px 9px 2px;-webkit-border-radius:9px;-moz-border-radius:9px;border-radius:9px}a.label:hover,a.badge:hover{color:#fff;text-decoration:none;cursor:pointer}.label-important,.badge-important{background-color:#b94a48}.label-important[href],.badge-important[href]{background-color:#953b39}.label-warning,.badge-warning{background-color:#f89406}.label-warning[href],.badge-warning[href]{background-color:#c67605}.label-success,.badge-success{background-color:#468847}.label-success[href],.badge-success[href]{background-color:#356635}.label-info,.badge-info{background-color:#3a87ad}.label-info[href],.badge-info[href]{background-color:#2d6987}.label-inverse,.badge-inverse{background-color:#333}.label-inverse[href],.badge-inverse[href]{background-color:#1a1a1a}.btn .label,.btn .badge{position:relative;top:-1px}.btn-mini .label,.btn-mini .badge{top:0}@-webkit-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@-moz-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@-ms-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@-o-keyframes progress-bar-stripes{from{background-position:0 0}to{background-position:40px 0}}@keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}.progress{height:20px;margin-bottom:20px;overflow:hidden;background-color:#f7f7f7;background-image:-moz-linear-gradient(top,#f5f5f5,#f9f9f9);background-image:-webkit-gradient(linear,0 0,0 100%,from(#f5f5f5),to(#f9f9f9));background-image:-webkit-linear-gradient(top,#f5f5f5,#f9f9f9);background-image:-o-linear-gradient(top,#f5f5f5,#f9f9f9);background-image:linear-gradient(to bottom,#f5f5f5,#f9f9f9);background-repeat:repeat-x;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;filter:progid:dximagetransform.microsoft.gradient(startColorstr='#fff5f5f5',endColorstr='#fff9f9f9',GradientType=0);-webkit-box-shadow:inset 0 1px 2px rgba(0,0,0,0.1);-moz-box-shadow:inset 0 1px 2px rgba(0,0,0,0.1);box-shadow:inset 0 1px 2px rgba(0,0,0,0.1)}.progress .bar{float:left;width:0;height:100%;font-size:12px;color:#fff;text-align:center;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#0e90d2;background-image:-moz-linear-gradient(top,#149bdf,#0480be);background-image:-webkit-gradient(linear,0 0,0 100%,from(#149bdf),to(#0480be));background-image:-webkit-linear-gradient(top,#149bdf,#0480be);background-image:-o-linear-gradient(top,#149bdf,#0480be);background-image:linear-gradient(to bottom,#149bdf,#0480be);background-repeat:repeat-x;filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ff149bdf',endColorstr='#ff0480be',GradientType=0);-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,0.15);-moz-box-shadow:inset 0 -1px 0 rgba(0,0,0,0.15);box-shadow:inset 0 -1px 0 rgba(0,0,0,0.15);-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;-webkit-transition:width .6s ease;-moz-transition:width .6s ease;-o-transition:width .6s ease;transition:width .6s ease}.progress .bar+.bar{-webkit-box-shadow:inset 1px 0 0 rgba(0,0,0,0.15),inset 0 -1px 0 rgba(0,0,0,0.15);-moz-box-shadow:inset 1px 0 0 rgba(0,0,0,0.15),inset 0 -1px 0 rgba(0,0,0,0.15);box-shadow:inset 1px 0 0 rgba(0,0,0,0.15),inset 0 -1px 0 rgba(0,0,0,0.15)}.progress-striped .bar{background-color:#149bdf;background-image:-webkit-gradient(linear,0 100%,100% 0,color-stop(0.25,rgba(255,255,255,0.15)),color-stop(0.25,transparent),color-stop(0.5,transparent),color-stop(0.5,rgba(255,255,255,0.15)),color-stop(0.75,rgba(255,255,255,0.15)),color-stop(0.75,transparent),to(transparent));background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-moz-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);-webkit-background-size:40px 40px;-moz-background-size:40px 40px;-o-background-size:40px 40px;background-size:40px 40px}.progress.active .bar{-webkit-animation:progress-bar-stripes 2s linear infinite;-moz-animation:progress-bar-stripes 2s linear infinite;-ms-animation:progress-bar-stripes 2s linear infinite;-o-animation:progress-bar-stripes 2s linear infinite;animation:progress-bar-stripes 2s linear infinite}.progress-danger .bar,.progress .bar-danger{background-color:#dd514c;background-image:-moz-linear-gradient(top,#ee5f5b,#c43c35);background-image:-webkit-gradient(linear,0 0,0 100%,from(#ee5f5b),to(#c43c35));background-image:-webkit-linear-gradient(top,#ee5f5b,#c43c35);background-image:-o-linear-gradient(top,#ee5f5b,#c43c35);background-image:linear-gradient(to bottom,#ee5f5b,#c43c35);background-repeat:repeat-x;filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ffee5f5b',endColorstr='#ffc43c35',GradientType=0)}.progress-danger.progress-striped .bar,.progress-striped .bar-danger{background-color:#ee5f5b;background-image:-webkit-gradient(linear,0 100%,100% 0,color-stop(0.25,rgba(255,255,255,0.15)),color-stop(0.25,transparent),color-stop(0.5,transparent),color-stop(0.5,rgba(255,255,255,0.15)),color-stop(0.75,rgba(255,255,255,0.15)),color-stop(0.75,transparent),to(transparent));background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-moz-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent)}.progress-success .bar,.progress .bar-success{background-color:#5eb95e;background-image:-moz-linear-gradient(top,#62c462,#57a957);background-image:-webkit-gradient(linear,0 0,0 100%,from(#62c462),to(#57a957));background-image:-webkit-linear-gradient(top,#62c462,#57a957);background-image:-o-linear-gradient(top,#62c462,#57a957);background-image:linear-gradient(to bottom,#62c462,#57a957);background-repeat:repeat-x;filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ff62c462',endColorstr='#ff57a957',GradientType=0)}.progress-success.progress-striped .bar,.progress-striped .bar-success{background-color:#62c462;background-image:-webkit-gradient(linear,0 100%,100% 0,color-stop(0.25,rgba(255,255,255,0.15)),color-stop(0.25,transparent),color-stop(0.5,transparent),color-stop(0.5,rgba(255,255,255,0.15)),color-stop(0.75,rgba(255,255,255,0.15)),color-stop(0.75,transparent),to(transparent));background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-moz-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent)}.progress-info .bar,.progress .bar-info{background-color:#4bb1cf;background-image:-moz-linear-gradient(top,#5bc0de,#339bb9);background-image:-webkit-gradient(linear,0 0,0 100%,from(#5bc0de),to(#339bb9));background-image:-webkit-linear-gradient(top,#5bc0de,#339bb9);background-image:-o-linear-gradient(top,#5bc0de,#339bb9);background-image:linear-gradient(to bottom,#5bc0de,#339bb9);background-repeat:repeat-x;filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ff5bc0de',endColorstr='#ff339bb9',GradientType=0)}.progress-info.progress-striped .bar,.progress-striped .bar-info{background-color:#5bc0de;background-image:-webkit-gradient(linear,0 100%,100% 0,color-stop(0.25,rgba(255,255,255,0.15)),color-stop(0.25,transparent),color-stop(0.5,transparent),color-stop(0.5,rgba(255,255,255,0.15)),color-stop(0.75,rgba(255,255,255,0.15)),color-stop(0.75,transparent),to(transparent));background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-moz-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent)}.progress-warning .bar,.progress .bar-warning{background-color:#faa732;background-image:-moz-linear-gradient(top,#fbb450,#f89406);background-image:-webkit-gradient(linear,0 0,0 100%,from(#fbb450),to(#f89406));background-image:-webkit-linear-gradient(top,#fbb450,#f89406);background-image:-o-linear-gradient(top,#fbb450,#f89406);background-image:linear-gradient(to bottom,#fbb450,#f89406);background-repeat:repeat-x;filter:progid:dximagetransform.microsoft.gradient(startColorstr='#fffbb450',endColorstr='#fff89406',GradientType=0)}.progress-warning.progress-striped .bar,.progress-striped .bar-warning{background-color:#fbb450;background-image:-webkit-gradient(linear,0 100%,100% 0,color-stop(0.25,rgba(255,255,255,0.15)),color-stop(0.25,transparent),color-stop(0.5,transparent),color-stop(0.5,rgba(255,255,255,0.15)),color-stop(0.75,rgba(255,255,255,0.15)),color-stop(0.75,transparent),to(transparent));background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-moz-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent)}.accordion{margin-bottom:20px}.accordion-group{margin-bottom:2px;border:1px solid #e5e5e5;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}.accordion-heading{border-bottom:0}.accordion-heading .accordion-toggle{display:block;padding:8px 15px}.accordion-toggle{cursor:pointer}.accordion-inner{padding:9px 15px;border-top:1px solid #e5e5e5}.carousel{position:relative;margin-bottom:20px;line-height:1}.carousel-inner{position:relative;width:100%;overflow:hidden}.carousel .item{position:relative;display:none;-webkit-transition:.6s ease-in-out left;-moz-transition:.6s ease-in-out left;-o-transition:.6s ease-in-out left;transition:.6s ease-in-out left}.carousel .item>img{display:block;line-height:1}.carousel .active,.carousel .next,.carousel .prev{display:block}.carousel .active{left:0}.carousel .next,.carousel .prev{position:absolute;top:0;width:100%}.carousel .next{left:100%}.carousel .prev{left:-100%}.carousel .next.left,.carousel .prev.right{left:0}.carousel .active.left{left:-100%}.carousel .active.right{left:100%}.carousel-control{position:absolute;top:40%;left:15px;width:40px;height:40px;margin-top:-20px;font-size:60px;font-weight:100;line-height:30px;color:#fff;text-align:center;background:#222;border:3px solid #fff;-webkit-border-radius:23px;-moz-border-radius:23px;border-radius:23px;opacity:.5;filter:alpha(opacity=50)}.carousel-control.right{right:15px;left:auto}.carousel-control:hover{color:#fff;text-decoration:none;opacity:.9;filter:alpha(opacity=90)}.carousel-caption{position:absolute;right:0;bottom:0;left:0;padding:15px;background:#333;background:rgba(0,0,0,0.75)}.carousel-caption h4,.carousel-caption p{line-height:20px;color:#fff}.carousel-caption h4{margin:0 0 5px}.carousel-caption p{margin-bottom:0}.hero-unit{padding:60px;margin-bottom:30px;background-color:#eee;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px}.hero-unit h1{margin-bottom:0;font-size:60px;line-height:1;letter-spacing:-1px;color:inherit}.hero-unit p{font-size:18px;font-weight:200;line-height:30px;color:inherit}.pull-right{float:right}.pull-left{float:left}.hide{display:none}.show{display:block}.invisible{visibility:hidden}.affix{position:fixed}
+ */article,aside,details,figcaption,figure,footer,header,hgroup,nav,section{display:block}audio,canvas,video{display:inline-block;*display:inline;*zoom:1}audio:not([controls]){display:none}html{font-size:100%;-webkit-text-size-adjust:100%;-ms-text-size-adjust:100%}a:focus{outline:thin dotted #333;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}a:hover,a:active{outline:0}sub,sup{position:relative;font-size:75%;line-height:0;vertical-align:baseline}sup{top:-0.5em}sub{bottom:-0.25em}img{height:auto;max-width:100%;vertical-align:middle;border:0;-ms-interpolation-mode:bicubic}#map_canvas img{max-width:none}button,input,select,textarea{margin:0;font-size:100%;vertical-align:middle}button,input{*overflow:visible;line-height:normal}button::-moz-focus-inner,input::-moz-focus-inner{padding:0;border:0}button,input[type="button"],input[type="reset"],input[type="submit"]{cursor:pointer;-webkit-appearance:button}input[type="search"]{-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;-webkit-appearance:textfield}input[type="search"]::-webkit-search-decoration,input[type="search"]::-webkit-search-cancel-button{-webkit-appearance:none}textarea{overflow:auto;vertical-align:top}.clearfix{*zoom:1}.clearfix:before,.clearfix:after{display:table;line-height:0;content:""}.clearfix:after{clear:both}.hide-text{font:0/0 a;color:transparent;text-shadow:none;background-color:transparent;border:0}.input-block-level{display:block;width:100%;min-height:30px;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}body{margin:0;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px;line-height:20px;color:#333;background-color:#fff}a{color:#08c;text-decoration:none}a:hover{color:#005580;text-decoration:underline}.img-rounded{-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px}.img-polaroid{padding:4px;background-color:#fff;border:1px solid #ccc;border:1px solid rgba(0,0,0,0.2);-webkit-box-shadow:0 1px 3px rgba(0,0,0,0.1);-moz-box-shadow:0 1px 3px rgba(0,0,0,0.1);box-shadow:0 1px 3px rgba(0,0,0,0.1)}.img-circle{-webkit-border-radius:500px;-moz-border-radius:500px;border-radius:500px}.row{margin-left:-20px;*zoom:1}.row:before,.row:after{display:table;line-height:0;content:""}.row:after{clear:both}[class*="span"]{float:left;margin-left:20px}.container,.navbar-static-top .container,.navbar-fixed-top .container,.navbar-fixed-bottom .container{width:940px}.span12{width:940px}.span11{width:860px}.span10{width:780px}.span9{width:700px}.span8{width:620px}.span7{width:540px}.span6{width:460px}.span5{width:380px}.span4{width:300px}.span3{width:220px}.span2{width:140px}.span1{width:60px}.offset12{margin-left:980px}.offset11{margin-left:900px}.offset10{margin-left:820px}.offset9{margin-left:740px}.offset8{margin-left:660px}.offset7{margin-left:580px}.offset6{margin-left:500px}.offset5{margin-left:420px}.offset4{margin-left:340px}.offset3{margin-left:260px}.offset2{margin-left:180px}.offset1{margin-left:100px}.row-fluid{width:100%;*zoom:1}.row-fluid:before,.row-fluid:after{display:table;line-height:0;content:""}.row-fluid:after{clear:both}.row-fluid [class*="span"]{display:block;float:left;width:100%;min-height:30px;margin-left:2.127659574468085%;*margin-left:2.074468085106383%;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}.row-fluid [class*="span"]:first-child{margin-left:0}.row-fluid .span12{width:100%;*width:99.94680851063829%}.row-fluid .span11{width:91.48936170212765%;*width:91.43617021276594%}.row-fluid .span10{width:82.97872340425532%;*width:82.92553191489361%}.row-fluid .span9{width:74.46808510638297%;*width:74.41489361702126%}.row-fluid .span8{width:65.95744680851064%;*width:65.90425531914893%}.row-fluid .span7{width:57.44680851063829%;*width:57.39361702127659%}.row-fluid .span6{width:48.93617021276595%;*width:48.88297872340425%}.row-fluid .span5{width:40.42553191489362%;*width:40.37234042553192%}.row-fluid .span4{width:31.914893617021278%;*width:31.861702127659576%}.row-fluid .span3{width:23.404255319148934%;*width:23.351063829787233%}.row-fluid .span2{width:14.893617021276595%;*width:14.840425531914894%}.row-fluid .span1{width:6.382978723404255%;*width:6.329787234042553%}.row-fluid .offset12{margin-left:104.25531914893617%;*margin-left:104.14893617021275%}.row-fluid .offset12:first-child{margin-left:102.12765957446808%;*margin-left:102.02127659574467%}.row-fluid .offset11{margin-left:95.74468085106382%;*margin-left:95.6382978723404%}.row-fluid .offset11:first-child{margin-left:93.61702127659574%;*margin-left:93.51063829787232%}.row-fluid .offset10{margin-left:87.23404255319149%;*margin-left:87.12765957446807%}.row-fluid .offset10:first-child{margin-left:85.1063829787234%;*margin-left:84.99999999999999%}.row-fluid .offset9{margin-left:78.72340425531914%;*margin-left:78.61702127659572%}.row-fluid .offset9:first-child{margin-left:76.59574468085106%;*margin-left:76.48936170212764%}.row-fluid .offset8{margin-left:70.2127659574468%;*margin-left:70.10638297872339%}.row-fluid .offset8:first-child{margin-left:68.08510638297872%;*margin-left:67.9787234042553%}.row-fluid .offset7{margin-left:61.70212765957446%;*margin-left:61.59574468085106%}.row-fluid .offset7:first-child{margin-left:59.574468085106375%;*margin-left:59.46808510638297%}.row-fluid .offset6{margin-left:53.191489361702125%;*margin-left:53.085106382978715%}.row-fluid .offset6:first-child{margin-left:51.063829787234035%;*margin-left:50.95744680851063%}.row-fluid .offset5{margin-left:44.68085106382979%;*margin-left:44.57446808510638%}.row-fluid .offset5:first-child{margin-left:42.5531914893617%;*margin-left:42.4468085106383%}.row-fluid .offset4{margin-left:36.170212765957444%;*margin-left:36.06382978723405%}.row-fluid .offset4:first-child{margin-left:34.04255319148936%;*margin-left:33.93617021276596%}.row-fluid .offset3{margin-left:27.659574468085104%;*margin-left:27.5531914893617%}.row-fluid .offset3:first-child{margin-left:25.53191489361702%;*margin-left:25.425531914893618%}.row-fluid .offset2{margin-left:19.148936170212764%;*margin-left:19.04255319148936%}.row-fluid .offset2:first-child{margin-left:17.02127659574468%;*margin-left:16.914893617021278%}.row-fluid .offset1{margin-left:10.638297872340425%;*margin-left:10.53191489361702%}.row-fluid .offset1:first-child{margin-left:8.51063829787234%;*margin-left:8.404255319148938%}[class*="span"].hide,.row-fluid [class*="span"].hide{display:none}[class*="span"].pull-right,.row-fluid [class*="span"].pull-right{float:right}.container{margin-right:auto;margin-left:auto;*zoom:1}.container:before,.container:after{display:table;line-height:0;content:""}.container:after{clear:both}.container-fluid{padding-right:20px;padding-left:20px;*zoom:1}.container-fluid:before,.container-fluid:after{display:table;line-height:0;content:""}.container-fluid:after{clear:both}p{margin:0 0 10px}.lead{margin-bottom:20px;font-size:20px;font-weight:200;line-height:30px}small{font-size:85%}strong{font-weight:bold}em{font-style:italic}cite{font-style:normal}.muted{color:#999}h1,h2,h3,h4,h5,h6{margin:10px 0;font-family:inherit;font-weight:bold;line-height:1;color:inherit;text-rendering:optimizelegibility}h1 small,h2 small,h3 small,h4 small,h5 small,h6 small{font-weight:normal;line-height:1;color:#999}h1{font-size:36px;line-height:40px}h2{font-size:30px;line-height:40px}h3{font-size:24px;line-height:40px}h4{font-size:18px;line-height:20px}h5{font-size:14px;line-height:20px}h6{font-size:12px;line-height:20px}h1 small{font-size:24px}h2 small{font-size:18px}h3 small{font-size:14px}h4 small{font-size:14px}.page-header{padding-bottom:9px;margin:20px 0 30px;border-bottom:1px solid #eee}ul,ol{padding:0;margin:0 0 10px 25px}ul ul,ul ol,ol ol,ol ul{margin-bottom:0}li{line-height:20px}ul.unstyled,ol.unstyled{margin-left:0;list-style:none}dl{margin-bottom:20px}dt,dd{line-height:20px}dt{font-weight:bold}dd{margin-left:10px}.dl-horizontal dt{float:left;width:120px;overflow:hidden;clear:left;text-align:right;text-overflow:ellipsis;white-space:nowrap}.dl-horizontal dd{margin-left:130px}hr{margin:20px 0;border:0;border-top:1px solid #eee;border-bottom:1px solid #fff}abbr[title]{cursor:help;border-bottom:1px dotted #999}abbr.initialism{font-size:90%;text-transform:uppercase}blockquote{padding:0 0 0 15px;margin:0 0 20px;border-left:5px solid #eee}blockquote p{margin-bottom:0;font-size:16px;font-weight:300;line-height:25px}blockquote small{display:block;line-height:20px;color:#999}blockquote small:before{content:'\2014 \00A0'}blockquote.pull-right{float:right;padding-right:15px;padding-left:0;border-right:5px solid #eee;border-left:0}blockquote.pull-right p,blockquote.pull-right small{text-align:right}blockquote.pull-right small:before{content:''}blockquote.pull-right small:after{content:'\00A0 \2014'}q:before,q:after,blockquote:before,blockquote:after{content:""}address{display:block;margin-bottom:20px;font-style:normal;line-height:20px}code,pre{padding:0 3px 2px;font-family:Monaco,Menlo,Consolas,"Courier New",monospace;font-size:12px;color:#333;-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px}code{padding:2px 4px;color:#d14;background-color:#f7f7f9;border:1px solid #e1e1e8}pre{display:block;padding:9.5px;margin:0 0 10px;font-size:13px;line-height:20px;word-break:break-all;word-wrap:break-word;white-space:pre;white-space:pre-wrap;background-color:#f5f5f5;border:1px solid #ccc;border:1px solid rgba(0,0,0,0.15);-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}pre.prettyprint{margin-bottom:20px}pre code{padding:0;color:inherit;background-color:transparent;border:0}.pre-scrollable{max-height:340px;overflow-y:scroll}form{margin:0 0 20px}fieldset{padding:0;margin:0;border:0}legend{display:block;width:100%;padding:0;margin-bottom:20px;font-size:21px;line-height:40px;color:#333;border:0;border-bottom:1px solid #e5e5e5}legend small{font-size:15px;color:#999}label,input,button,select,textarea{font-size:14px;font-weight:normal;line-height:20px}input,button,select,textarea{font-family:"Helvetica Neue",Helvetica,Arial,sans-serif}label{display:block;margin-bottom:5px}select,textarea,input[type="text"],input[type="password"],input[type="datetime"],input[type="datetime-local"],input[type="date"],input[type="month"],input[type="time"],input[type="week"],input[type="number"],input[type="email"],input[type="url"],input[type="search"],input[type="tel"],input[type="color"],.uneditable-input{display:inline-block;height:20px;padding:4px 6px;margin-bottom:9px;font-size:14px;line-height:20px;color:#555;-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px}input,textarea{width:210px}textarea{height:auto}textarea,input[type="text"],input[type="password"],input[type="datetime"],input[type="datetime-local"],input[type="date"],input[type="month"],input[type="time"],input[type="week"],input[type="number"],input[type="email"],input[type="url"],input[type="search"],input[type="tel"],input[type="color"],.uneditable-input{background-color:#fff;border:1px solid #ccc;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-webkit-transition:border linear .2s,box-shadow linear .2s;-moz-transition:border linear .2s,box-shadow linear .2s;-o-transition:border linear .2s,box-shadow linear .2s;transition:border linear .2s,box-shadow linear .2s}textarea:focus,input[type="text"]:focus,input[type="password"]:focus,input[type="datetime"]:focus,input[type="datetime-local"]:focus,input[type="date"]:focus,input[type="month"]:focus,input[type="time"]:focus,input[type="week"]:focus,input[type="number"]:focus,input[type="email"]:focus,input[type="url"]:focus,input[type="search"]:focus,input[type="tel"]:focus,input[type="color"]:focus,.uneditable-input:focus{border-color:rgba(82,168,236,0.8);outline:0;outline:thin dotted \9;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 8px rgba(82,168,236,0.6);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 8px rgba(82,168,236,0.6);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 8px rgba(82,168,236,0.6)}input[type="radio"],input[type="checkbox"]{margin:4px 0 0;margin-top:1px \9;*margin-top:0;line-height:normal;cursor:pointer}input[type="file"],input[type="image"],input[type="submit"],input[type="reset"],input[type="button"],input[type="radio"],input[type="checkbox"]{width:auto}select,input[type="file"]{height:30px;*margin-top:4px;line-height:30px}select{width:220px;background-color:#fff;border:1px solid #bbb}select[multiple],select[size]{height:auto}select:focus,input[type="file"]:focus,input[type="radio"]:focus,input[type="checkbox"]:focus{outline:thin dotted #333;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}.uneditable-input,.uneditable-textarea{color:#999;cursor:not-allowed;background-color:#fcfcfc;border-color:#ccc;-webkit-box-shadow:inset 0 1px 2px rgba(0,0,0,0.025);-moz-box-shadow:inset 0 1px 2px rgba(0,0,0,0.025);box-shadow:inset 0 1px 2px rgba(0,0,0,0.025)}.uneditable-input{overflow:hidden;white-space:nowrap}.uneditable-textarea{width:auto;height:auto}input:-moz-placeholder,textarea:-moz-placeholder{color:#999}input:-ms-input-placeholder,textarea:-ms-input-placeholder{color:#999}input::-webkit-input-placeholder,textarea::-webkit-input-placeholder{color:#999}.radio,.checkbox{min-height:18px;padding-left:18px}.radio input[type="radio"],.checkbox input[type="checkbox"]{float:left;margin-left:-18px}.controls>.radio:first-child,.controls>.checkbox:first-child{padding-top:5px}.radio.inline,.checkbox.inline{display:inline-block;padding-top:5px;margin-bottom:0;vertical-align:middle}.radio.inline+.radio.inline,.checkbox.inline+.checkbox.inline{margin-left:10px}.input-mini{width:60px}.input-small{width:90px}.input-medium{width:150px}.input-large{width:210px}.input-xlarge{width:270px}.input-xxlarge{width:530px}input[class*="span"],select[class*="span"],textarea[class*="span"],.uneditable-input[class*="span"],.row-fluid input[class*="span"],.row-fluid select[class*="span"],.row-fluid textarea[class*="span"],.row-fluid .uneditable-input[class*="span"]{float:none;margin-left:0}.input-append input[class*="span"],.input-append .uneditable-input[class*="span"],.input-prepend input[class*="span"],.input-prepend .uneditable-input[class*="span"],.row-fluid input[class*="span"],.row-fluid select[class*="span"],.row-fluid textarea[class*="span"],.row-fluid .uneditable-input[class*="span"],.row-fluid .input-prepend [class*="span"],.row-fluid .input-append [class*="span"]{display:inline-block}input,textarea,.uneditable-input{margin-left:0}.controls-row [class*="span"]+[class*="span"]{margin-left:20px}input.span12,textarea.span12,.uneditable-input.span12{width:926px}input.span11,textarea.span11,.uneditable-input.span11{width:846px}input.span10,textarea.span10,.uneditable-input.span10{width:766px}input.span9,textarea.span9,.uneditable-input.span9{width:686px}input.span8,textarea.span8,.uneditable-input.span8{width:606px}input.span7,textarea.span7,.uneditable-input.span7{width:526px}input.span6,textarea.span6,.uneditable-input.span6{width:446px}input.span5,textarea.span5,.uneditable-input.span5{width:366px}input.span4,textarea.span4,.uneditable-input.span4{width:286px}input.span3,textarea.span3,.uneditable-input.span3{width:206px}input.span2,textarea.span2,.uneditable-input.span2{width:126px}input.span1,textarea.span1,.uneditable-input.span1{width:46px}.controls-row{*zoom:1}.controls-row:before,.controls-row:after{display:table;line-height:0;content:""}.controls-row:after{clear:both}.controls-row [class*="span"]{float:left}input[disabled],select[disabled],textarea[disabled],input[readonly],select[readonly],textarea[readonly]{cursor:not-allowed;background-color:#eee}input[type="radio"][disabled],input[type="checkbox"][disabled],input[type="radio"][readonly],input[type="checkbox"][readonly]{background-color:transparent}.control-group.warning>label,.control-group.warning .help-block,.control-group.warning .help-inline{color:#c09853}.control-group.warning .checkbox,.control-group.warning .radio,.control-group.warning input,.control-group.warning select,.control-group.warning textarea{color:#c09853;border-color:#c09853;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.control-group.warning .checkbox:focus,.control-group.warning .radio:focus,.control-group.warning input:focus,.control-group.warning select:focus,.control-group.warning textarea:focus{border-color:#a47e3c;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #dbc59e;-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #dbc59e;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #dbc59e}.control-group.warning .input-prepend .add-on,.control-group.warning .input-append .add-on{color:#c09853;background-color:#fcf8e3;border-color:#c09853}.control-group.error>label,.control-group.error .help-block,.control-group.error .help-inline{color:#b94a48}.control-group.error .checkbox,.control-group.error .radio,.control-group.error input,.control-group.error select,.control-group.error textarea{color:#b94a48;border-color:#b94a48;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.control-group.error .checkbox:focus,.control-group.error .radio:focus,.control-group.error input:focus,.control-group.error select:focus,.control-group.error textarea:focus{border-color:#953b39;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #d59392;-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #d59392;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #d59392}.control-group.error .input-prepend .add-on,.control-group.error .input-append .add-on{color:#b94a48;background-color:#f2dede;border-color:#b94a48}.control-group.success>label,.control-group.success .help-block,.control-group.success .help-inline{color:#468847}.control-group.success .checkbox,.control-group.success .radio,.control-group.success input,.control-group.success select,.control-group.success textarea{color:#468847;border-color:#468847;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.control-group.success .checkbox:focus,.control-group.success .radio:focus,.control-group.success input:focus,.control-group.success select:focus,.control-group.success textarea:focus{border-color:#356635;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #7aba7b;-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #7aba7b;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #7aba7b}.control-group.success .input-prepend .add-on,.control-group.success .input-append .add-on{color:#468847;background-color:#dff0d8;border-color:#468847}input:focus:required:invalid,textarea:focus:required:invalid,select:focus:required:invalid{color:#b94a48;border-color:#ee5f5b}input:focus:required:invalid:focus,textarea:focus:required:invalid:focus,select:focus:required:invalid:focus{border-color:#e9322d;-webkit-box-shadow:0 0 6px #f8b9b7;-moz-box-shadow:0 0 6px #f8b9b7;box-shadow:0 0 6px #f8b9b7}.form-actions{padding:19px 20px 20px;margin-top:20px;margin-bottom:20px;background-color:#f5f5f5;border-top:1px solid #e5e5e5;*zoom:1}.form-actions:before,.form-actions:after{display:table;line-height:0;content:""}.form-actions:after{clear:both}.help-block,.help-inline{color:#595959}.help-block{display:block;margin-bottom:10px}.help-inline{display:inline-block;*display:inline;padding-left:5px;vertical-align:middle;*zoom:1}.input-append,.input-prepend{margin-bottom:5px;font-size:0;white-space:nowrap}.input-append input,.input-prepend input,.input-append select,.input-prepend select,.input-append .uneditable-input,.input-prepend .uneditable-input{position:relative;margin-bottom:0;*margin-left:0;font-size:14px;vertical-align:top;-webkit-border-radius:0 3px 3px 0;-moz-border-radius:0 3px 3px 0;border-radius:0 3px 3px 0}.input-append input:focus,.input-prepend input:focus,.input-append select:focus,.input-prepend select:focus,.input-append .uneditable-input:focus,.input-prepend .uneditable-input:focus{z-index:2}.input-append .add-on,.input-prepend .add-on{display:inline-block;width:auto;height:20px;min-width:16px;padding:4px 5px;font-size:14px;font-weight:normal;line-height:20px;text-align:center;text-shadow:0 1px 0 #fff;background-color:#eee;border:1px solid #ccc}.input-append .add-on,.input-prepend .add-on,.input-append .btn,.input-prepend .btn{margin-left:-1px;vertical-align:top;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.input-append .active,.input-prepend .active{background-color:#a9dba9;border-color:#46a546}.input-prepend .add-on,.input-prepend .btn{margin-right:-1px}.input-prepend .add-on:first-child,.input-prepend .btn:first-child{-webkit-border-radius:3px 0 0 3px;-moz-border-radius:3px 0 0 3px;border-radius:3px 0 0 3px}.input-append input,.input-append select,.input-append .uneditable-input{-webkit-border-radius:3px 0 0 3px;-moz-border-radius:3px 0 0 3px;border-radius:3px 0 0 3px}.input-append .add-on:last-child,.input-append .btn:last-child{-webkit-border-radius:0 3px 3px 0;-moz-border-radius:0 3px 3px 0;border-radius:0 3px 3px 0}.input-prepend.input-append input,.input-prepend.input-append select,.input-prepend.input-append .uneditable-input{-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.input-prepend.input-append .add-on:first-child,.input-prepend.input-append .btn:first-child{margin-right:-1px;-webkit-border-radius:3px 0 0 3px;-moz-border-radius:3px 0 0 3px;border-radius:3px 0 0 3px}.input-prepend.input-append .add-on:last-child,.input-prepend.input-append .btn:last-child{margin-left:-1px;-webkit-border-radius:0 3px 3px 0;-moz-border-radius:0 3px 3px 0;border-radius:0 3px 3px 0}input.search-query{padding-right:14px;padding-right:4px \9;padding-left:14px;padding-left:4px \9;margin-bottom:0;-webkit-border-radius:15px;-moz-border-radius:15px;border-radius:15px}.form-search .input-append .search-query,.form-search .input-prepend .search-query{-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.form-search .input-append .search-query{-webkit-border-radius:14px 0 0 14px;-moz-border-radius:14px 0 0 14px;border-radius:14px 0 0 14px}.form-search .input-append .btn{-webkit-border-radius:0 14px 14px 0;-moz-border-radius:0 14px 14px 0;border-radius:0 14px 14px 0}.form-search .input-prepend .search-query{-webkit-border-radius:0 14px 14px 0;-moz-border-radius:0 14px 14px 0;border-radius:0 14px 14px 0}.form-search .input-prepend .btn{-webkit-border-radius:14px 0 0 14px;-moz-border-radius:14px 0 0 14px;border-radius:14px 0 0 14px}.form-search input,.form-inline input,.form-horizontal input,.form-search textarea,.form-inline textarea,.form-horizontal textarea,.form-search select,.form-inline select,.form-horizontal select,.form-search .help-inline,.form-inline .help-inline,.form-horizontal .help-inline,.form-search .uneditable-input,.form-inline .uneditable-input,.form-horizontal .uneditable-input,.form-search .input-prepend,.form-inline .input-prepend,.form-horizontal .input-prepend,.form-search .input-append,.form-inline .input-append,.form-horizontal .input-append{display:inline-block;*display:inline;margin-bottom:0;vertical-align:middle;*zoom:1}.form-search .hide,.form-inline .hide,.form-horizontal .hide{display:none}.form-search label,.form-inline label,.form-search .btn-group,.form-inline .btn-group{display:inline-block}.form-search .input-append,.form-inline .input-append,.form-search .input-prepend,.form-inline .input-prepend{margin-bottom:0}.form-search .radio,.form-search .checkbox,.form-inline .radio,.form-inline .checkbox{padding-left:0;margin-bottom:0;vertical-align:middle}.form-search .radio input[type="radio"],.form-search .checkbox input[type="checkbox"],.form-inline .radio input[type="radio"],.form-inline .checkbox input[type="checkbox"]{float:left;margin-right:3px;margin-left:0}.control-group{margin-bottom:10px}legend+.control-group{margin-top:20px;-webkit-margin-top-collapse:separate}.form-horizontal .control-group{margin-bottom:20px;*zoom:1}.form-horizontal .control-group:before,.form-horizontal .control-group:after{display:table;line-height:0;content:""}.form-horizontal .control-group:after{clear:both}.form-horizontal .control-label{float:left;width:140px;padding-top:5px;text-align:right}.form-horizontal .controls{*display:inline-block;*padding-left:20px;margin-left:160px;*margin-left:0}.form-horizontal .controls:first-child{*padding-left:160px}.form-horizontal .help-block{margin-top:10px;margin-bottom:0}.form-horizontal .form-actions{padding-left:160px}table{max-width:100%;background-color:transparent;border-collapse:collapse;border-spacing:0}.table{width:100%;margin-bottom:20px}.table th,.table td{padding:8px;line-height:20px;text-align:left;vertical-align:top;border-top:1px solid #ddd}.table th{font-weight:bold}.table thead th{vertical-align:bottom}.table caption+thead tr:first-child th,.table caption+thead tr:first-child td,.table colgroup+thead tr:first-child th,.table colgroup+thead tr:first-child td,.table thead:first-child tr:first-child th,.table thead:first-child tr:first-child td{border-top:0}.table tbody+tbody{border-top:2px solid #ddd}.table-condensed th,.table-condensed td{padding:4px 5px}.table-bordered{border:1px solid #ddd;border-collapse:separate;*border-collapse:collapse;border-left:0;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}.table-bordered th,.table-bordered td{border-left:1px solid #ddd}.table-bordered caption+thead tr:first-child th,.table-bordered caption+tbody tr:first-child th,.table-bordered caption+tbody tr:first-child td,.table-bordered colgroup+thead tr:first-child th,.table-bordered colgroup+tbody tr:first-child th,.table-bordered colgroup+tbody tr:first-child td,.table-bordered thead:first-child tr:first-child th,.table-bordered tbody:first-child tr:first-child th,.table-bordered tbody:first-child tr:first-child td{border-top:0}.table-bordered thead:first-child tr:first-child th:first-child,.table-bordered tbody:first-child tr:first-child td:first-child{-webkit-border-top-left-radius:4px;border-top-left-radius:4px;-moz-border-radius-topleft:4px}.table-bordered thead:first-child tr:first-child th:last-child,.table-bordered tbody:first-child tr:first-child td:last-child{-webkit-border-top-right-radius:4px;border-top-right-radius:4px;-moz-border-radius-topright:4px}.table-bordered thead:last-child tr:last-child th:first-child,.table-bordered tbody:last-child tr:last-child td:first-child,.table-bordered tfoot:last-child tr:last-child td:first-child{-webkit-border-radius:0 0 0 4px;-moz-border-radius:0 0 0 4px;border-radius:0 0 0 4px;-webkit-border-bottom-left-radius:4px;border-bottom-left-radius:4px;-moz-border-radius-bottomleft:4px}.table-bordered thead:last-child tr:last-child th:last-child,.table-bordered tbody:last-child tr:last-child td:last-child,.table-bordered tfoot:last-child tr:last-child td:last-child{-webkit-border-bottom-right-radius:4px;border-bottom-right-radius:4px;-moz-border-radius-bottomright:4px}.table-bordered caption+thead tr:first-child th:first-child,.table-bordered caption+tbody tr:first-child td:first-child,.table-bordered colgroup+thead tr:first-child th:first-child,.table-bordered colgroup+tbody tr:first-child td:first-child{-webkit-border-top-left-radius:4px;border-top-left-radius:4px;-moz-border-radius-topleft:4px}.table-bordered caption+thead tr:first-child th:last-child,.table-bordered caption+tbody tr:first-child td:last-child,.table-bordered colgroup+thead tr:first-child th:last-child,.table-bordered colgroup+tbody tr:first-child td:last-child{-webkit-border-top-right-radius:4px;border-top-right-radius:4px;-moz-border-right-topleft:4px}.table-striped tbody tr:nth-child(odd) td,.table-striped tbody tr:nth-child(odd) th{background-color:#f9f9f9}.table-hover tbody tr:hover td,.table-hover tbody tr:hover th{background-color:#f5f5f5}table [class*=span],.row-fluid table [class*=span]{display:table-cell;float:none;margin-left:0}table .span1{float:none;width:44px;margin-left:0}table .span2{float:none;width:124px;margin-left:0}table .span3{float:none;width:204px;margin-left:0}table .span4{float:none;width:284px;margin-left:0}table .span5{float:none;width:364px;margin-left:0}table .span6{float:none;width:444px;margin-left:0}table .span7{float:none;width:524px;margin-left:0}table .span8{float:none;width:604px;margin-left:0}table .span9{float:none;width:684px;margin-left:0}table .span10{float:none;width:764px;margin-left:0}table .span11{float:none;width:844px;margin-left:0}table .span12{float:none;width:924px;margin-left:0}table .span13{float:none;width:1004px;margin-left:0}table .span14{float:none;width:1084px;margin-left:0}table .span15{float:none;width:1164px;margin-left:0}table .span16{float:none;width:1244px;margin-left:0}table .span17{float:none;width:1324px;margin-left:0}table .span18{float:none;width:1404px;margin-left:0}table .span19{float:none;width:1484px;margin-left:0}table .span20{float:none;width:1564px;margin-left:0}table .span21{float:none;width:1644px;margin-left:0}table .span22{float:none;width:1724px;margin-left:0}table .span23{float:none;width:1804px;margin-left:0}table .span24{float:none;width:1884px;margin-left:0}.table tbody tr.success td{background-color:#dff0d8}.table tbody tr.error td{background-color:#f2dede}.table tbody tr.info td{background-color:#d9edf7}[class^="icon-"],[class*=" icon-"]{display:inline-block;width:14px;height:14px;margin-top:1px;*margin-right:.3em;line-height:14px;vertical-align:text-top;background-image:url("../img/glyphicons-halflings.png");background-position:14px 14px;background-repeat:no-repeat}.icon-white,.nav>.active>a>[class^="icon-"],.nav>.active>a>[class*=" icon-"],.dropdown-menu>li>a:hover>[class^="icon-"],.dropdown-menu>li>a:hover>[class*=" icon-"],.dropdown-menu>.active>a>[class^="icon-"],.dropdown-menu>.active>a>[class*=" icon-"]{background-image:url("../img/glyphicons-halflings-white.png")}.icon-glass{background-position:0 0}.icon-music{background-position:-24px 0}.icon-search{background-position:-48px 0}.icon-envelope{background-position:-72px 0}.icon-heart{background-position:-96px 0}.icon-star{background-position:-120px 0}.icon-star-empty{background-position:-144px 0}.icon-user{background-position:-168px 0}.icon-film{background-position:-192px 0}.icon-th-large{background-position:-216px 0}.icon-th{background-position:-240px 0}.icon-th-list{background-position:-264px 0}.icon-ok{background-position:-288px 0}.icon-remove{background-position:-312px 0}.icon-zoom-in{background-position:-336px 0}.icon-zoom-out{background-position:-360px 0}.icon-off{background-position:-384px 0}.icon-signal{background-position:-408px 0}.icon-cog{background-position:-432px 0}.icon-trash{background-position:-456px 0}.icon-home{background-position:0 -24px}.icon-file{background-position:-24px -24px}.icon-time{background-position:-48px -24px}.icon-road{background-position:-72px -24px}.icon-download-alt{background-position:-96px -24px}.icon-download{background-position:-120px -24px}.icon-upload{background-position:-144px -24px}.icon-inbox{background-position:-168px -24px}.icon-play-circle{background-position:-192px -24px}.icon-repeat{background-position:-216px -24px}.icon-refresh{background-position:-240px -24px}.icon-list-alt{background-position:-264px -24px}.icon-lock{background-position:-287px -24px}.icon-flag{background-position:-312px -24px}.icon-headphones{background-position:-336px -24px}.icon-volume-off{background-position:-360px -24px}.icon-volume-down{background-position:-384px -24px}.icon-volume-up{background-position:-408px -24px}.icon-qrcode{background-position:-432px -24px}.icon-barcode{background-position:-456px -24px}.icon-tag{background-position:0 -48px}.icon-tags{background-position:-25px -48px}.icon-book{background-position:-48px -48px}.icon-bookmark{background-position:-72px -48px}.icon-print{background-position:-96px -48px}.icon-camera{background-position:-120px -48px}.icon-font{background-position:-144px -48px}.icon-bold{background-position:-167px -48px}.icon-italic{background-position:-192px -48px}.icon-text-height{background-position:-216px -48px}.icon-text-width{background-position:-240px -48px}.icon-align-left{background-position:-264px -48px}.icon-align-center{background-position:-288px -48px}.icon-align-right{background-position:-312px -48px}.icon-align-justify{background-position:-336px -48px}.icon-list{background-position:-360px -48px}.icon-indent-left{background-position:-384px -48px}.icon-indent-right{background-position:-408px -48px}.icon-facetime-video{background-position:-432px -48px}.icon-picture{background-position:-456px -48px}.icon-pencil{background-position:0 -72px}.icon-map-marker{background-position:-24px -72px}.icon-adjust{background-position:-48px -72px}.icon-tint{background-position:-72px -72px}.icon-edit{background-position:-96px -72px}.icon-share{background-position:-120px -72px}.icon-check{background-position:-144px -72px}.icon-move{background-position:-168px -72px}.icon-step-backward{background-position:-192px -72px}.icon-fast-backward{background-position:-216px -72px}.icon-backward{background-position:-240px -72px}.icon-play{background-position:-264px -72px}.icon-pause{background-position:-288px -72px}.icon-stop{background-position:-312px -72px}.icon-forward{background-position:-336px -72px}.icon-fast-forward{background-position:-360px -72px}.icon-step-forward{background-position:-384px -72px}.icon-eject{background-position:-408px -72px}.icon-chevron-left{background-position:-432px -72px}.icon-chevron-right{background-position:-456px -72px}.icon-plus-sign{background-position:0 -96px}.icon-minus-sign{background-position:-24px -96px}.icon-remove-sign{background-position:-48px -96px}.icon-ok-sign{background-position:-72px -96px}.icon-question-sign{background-position:-96px -96px}.icon-info-sign{background-position:-120px -96px}.icon-screenshot{background-position:-144px -96px}.icon-remove-circle{background-position:-168px -96px}.icon-ok-circle{background-position:-192px -96px}.icon-ban-circle{background-position:-216px -96px}.icon-arrow-left{background-position:-240px -96px}.icon-arrow-right{background-position:-264px -96px}.icon-arrow-up{background-position:-289px -96px}.icon-arrow-down{background-position:-312px -96px}.icon-share-alt{background-position:-336px -96px}.icon-resize-full{background-position:-360px -96px}.icon-resize-small{background-position:-384px -96px}.icon-plus{background-position:-408px -96px}.icon-minus{background-position:-433px -96px}.icon-asterisk{background-position:-456px -96px}.icon-exclamation-sign{background-position:0 -120px}.icon-gift{background-position:-24px -120px}.icon-leaf{background-position:-48px -120px}.icon-fire{background-position:-72px -120px}.icon-eye-open{background-position:-96px -120px}.icon-eye-close{background-position:-120px -120px}.icon-warning-sign{background-position:-144px -120px}.icon-plane{background-position:-168px -120px}.icon-calendar{background-position:-192px -120px}.icon-random{width:16px;background-position:-216px -120px}.icon-comment{background-position:-240px -120px}.icon-magnet{background-position:-264px -120px}.icon-chevron-up{background-position:-288px -120px}.icon-chevron-down{background-position:-313px -119px}.icon-retweet{background-position:-336px -120px}.icon-shopping-cart{background-position:-360px -120px}.icon-folder-close{background-position:-384px -120px}.icon-folder-open{width:16px;background-position:-408px -120px}.icon-resize-vertical{background-position:-432px -119px}.icon-resize-horizontal{background-position:-456px -118px}.icon-hdd{background-position:0 -144px}.icon-bullhorn{background-position:-24px -144px}.icon-bell{background-position:-48px -144px}.icon-certificate{background-position:-72px -144px}.icon-thumbs-up{background-position:-96px -144px}.icon-thumbs-down{background-position:-120px -144px}.icon-hand-right{background-position:-144px -144px}.icon-hand-left{background-position:-168px -144px}.icon-hand-up{background-position:-192px -144px}.icon-hand-down{background-position:-216px -144px}.icon-circle-arrow-right{background-position:-240px -144px}.icon-circle-arrow-left{background-position:-264px -144px}.icon-circle-arrow-up{background-position:-288px -144px}.icon-circle-arrow-down{background-position:-312px -144px}.icon-globe{background-position:-336px -144px}.icon-wrench{background-position:-360px -144px}.icon-tasks{background-position:-384px -144px}.icon-filter{background-position:-408px -144px}.icon-briefcase{background-position:-432px -144px}.icon-fullscreen{background-position:-456px -144px}.dropup,.dropdown{position:relative}.dropdown-toggle{*margin-bottom:-3px}.dropdown-toggle:active,.open .dropdown-toggle{outline:0}.caret{display:inline-block;width:0;height:0;vertical-align:top;border-top:4px solid #000;border-right:4px solid transparent;border-left:4px solid transparent;content:""}.dropdown .caret{margin-top:8px;margin-left:2px}.dropdown-menu{position:absolute;top:100%;left:0;z-index:1000;display:none;float:left;min-width:160px;padding:5px 0;margin:2px 0 0;list-style:none;background-color:#fff;border:1px solid #ccc;border:1px solid rgba(0,0,0,0.2);*border-right-width:2px;*border-bottom-width:2px;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px;-webkit-box-shadow:0 5px 10px rgba(0,0,0,0.2);-moz-box-shadow:0 5px 10px rgba(0,0,0,0.2);box-shadow:0 5px 10px rgba(0,0,0,0.2);-webkit-background-clip:padding-box;-moz-background-clip:padding;background-clip:padding-box}.dropdown-menu.pull-right{right:0;left:auto}.dropdown-menu .divider{*width:100%;height:1px;margin:9px 1px;*margin:-5px 0 5px;overflow:hidden;background-color:#e5e5e5;border-bottom:1px solid #fff}.dropdown-menu a{display:block;padding:3px 20px;clear:both;font-weight:normal;line-height:20px;color:#333;white-space:nowrap}.dropdown-menu li>a:hover,.dropdown-menu li>a:focus,.dropdown-submenu:hover>a{color:#fff;text-decoration:none;background-color:#0088cc;background-color:#0088cc;background-image:-moz-linear-gradient(top,#0088cc,#0087b3);background-image:-webkit-gradient(linear,0 0,0 100%,from(#0088cc),to(#0087b3));background-image:-webkit-linear-gradient(top,#0088cc,#0087b3);background-image:-o-linear-gradient(top,#0088cc,#0087b3);background-image:linear-gradient(to bottom,#0088cc,#0087b3);background-repeat:repeat-x;filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ff0088cc',endColorstr='#ff0087b3',GradientType=0)}.dropdown-menu .active>a,.dropdown-menu .active>a:hover{color:#fff;text-decoration:none;background-color:#0088cc;background-color:#0081c2;background-image:linear-gradient(to bottom,#0088cc,#0087b3);background-image:-moz-linear-gradient(top,#0088cc,#0087b3);background-image:-webkit-gradient(linear,0 0,0 100%,from(#0088cc),to(#0087b3));background-image:-webkit-linear-gradient(top,#0088cc,#0087b3);background-image:-o-linear-gradient(top,#0088cc,#0087b3);background-repeat:repeat-x;outline:0;filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ff0088cc',endColorstr='#ff0087b3',GradientType=0)}.dropdown-menu .disabled>a,.dropdown-menu .disabled>a:hover{color:#999}.dropdown-menu .disabled>a:hover{text-decoration:none;cursor:default;background-color:transparent}.open{*z-index:1000}.open>.dropdown-menu{display:block}.pull-right>.dropdown-menu{right:0;left:auto}.dropup .caret,.navbar-fixed-bottom .dropdown .caret{border-top:0;border-bottom:4px solid #000;content:"\2191"}.dropup .dropdown-menu,.navbar-fixed-bottom .dropdown .dropdown-menu{top:auto;bottom:100%;margin-bottom:1px}.dropdown-submenu{position:relative}.dropdown-submenu>.dropdown-menu{top:0;left:100%;margin-top:-6px;margin-left:-1px;-webkit-border-radius:0 6px 6px 6px;-moz-border-radius:0 6px 6px 6px;border-radius:0 6px 6px 6px}.dropdown-submenu:hover .dropdown-menu{display:block}.dropdown-submenu>a:after{display:block;float:right;width:0;height:0;margin-top:5px;margin-right:-10px;border-color:transparent;border-left-color:#ccc;border-style:solid;border-width:5px 0 5px 5px;content:" "}.dropdown-submenu:hover>a:after{border-left-color:#fff}.dropdown .dropdown-menu .nav-header{padding-right:20px;padding-left:20px}.typeahead{margin-top:2px;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}.well{min-height:20px;padding:19px;margin-bottom:20px;background-color:#f5f5f5;border:1px solid #e3e3e3;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.05);-moz-box-shadow:inset 0 1px 1px rgba(0,0,0,0.05);box-shadow:inset 0 1px 1px rgba(0,0,0,0.05)}.well blockquote{border-color:#ddd;border-color:rgba(0,0,0,0.15)}.well-large{padding:24px;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px}.well-small{padding:9px;-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px}.fade{opacity:0;-webkit-transition:opacity .15s linear;-moz-transition:opacity .15s linear;-o-transition:opacity .15s linear;transition:opacity .15s linear}.fade.in{opacity:1}.collapse{position:relative;height:0;overflow:hidden;overflow:visible \9;-webkit-transition:height .35s ease;-moz-transition:height .35s ease;-o-transition:height .35s ease;transition:height .35s ease}.collapse.in{height:auto}.close{float:right;font-size:20px;font-weight:bold;line-height:20px;color:#000;text-shadow:0 1px 0 #fff;opacity:.2;filter:alpha(opacity=20)}.close:hover{color:#000;text-decoration:none;cursor:pointer;opacity:.4;filter:alpha(opacity=40)}button.close{padding:0;cursor:pointer;background:transparent;border:0;-webkit-appearance:none}.btn{display:inline-block;*display:inline;padding:4px 14px;margin-bottom:0;*margin-left:.3em;font-size:14px;line-height:20px;*line-height:20px;color:#333;text-align:center;text-shadow:0 1px 1px rgba(255,255,255,0.75);vertical-align:middle;cursor:pointer;background-color:#f5f5f5;*background-color:#e6e6e6;background-image:-webkit-gradient(linear,0 0,0 100%,from(#fff),to(#e6e6e6));background-image:-webkit-linear-gradient(top,#fff,#e6e6e6);background-image:-o-linear-gradient(top,#fff,#e6e6e6);background-image:linear-gradient(to bottom,#fff,#e6e6e6);background-image:-moz-linear-gradient(top,#fff,#e6e6e6);background-repeat:repeat-x;border:1px solid #bbb;*border:0;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);border-color:#e6e6e6 #e6e6e6 #bfbfbf;border-bottom-color:#a2a2a2;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ffffffff',endColorstr='#ffe6e6e6',GradientType=0);filter:progid:dximagetransform.microsoft.gradient(enabled=false);*zoom:1;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,0.2),0 1px 2px rgba(0,0,0,0.05);-moz-box-shadow:inset 0 1px 0 rgba(255,255,255,0.2),0 1px 2px rgba(0,0,0,0.05);box-shadow:inset 0 1px 0 rgba(255,255,255,0.2),0 1px 2px rgba(0,0,0,0.05)}.btn:hover,.btn:active,.btn.active,.btn.disabled,.btn[disabled]{color:#333;background-color:#e6e6e6;*background-color:#d9d9d9}.btn:active,.btn.active{background-color:#ccc \9}.btn:first-child{*margin-left:0}.btn:hover{color:#333;text-decoration:none;background-color:#e6e6e6;*background-color:#d9d9d9;background-position:0 -15px;-webkit-transition:background-position .1s linear;-moz-transition:background-position .1s linear;-o-transition:background-position .1s linear;transition:background-position .1s linear}.btn:focus{outline:thin dotted #333;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}.btn.active,.btn:active{background-color:#e6e6e6;background-color:#d9d9d9 \9;background-image:none;outline:0;-webkit-box-shadow:inset 0 2px 4px rgba(0,0,0,0.15),0 1px 2px rgba(0,0,0,0.05);-moz-box-shadow:inset 0 2px 4px rgba(0,0,0,0.15),0 1px 2px rgba(0,0,0,0.05);box-shadow:inset 0 2px 4px rgba(0,0,0,0.15),0 1px 2px rgba(0,0,0,0.05)}.btn.disabled,.btn[disabled]{cursor:default;background-color:#e6e6e6;background-image:none;opacity:.65;filter:alpha(opacity=65);-webkit-box-shadow:none;-moz-box-shadow:none;box-shadow:none}.btn-large{padding:9px 14px;font-size:16px;line-height:normal;-webkit-border-radius:5px;-moz-border-radius:5px;border-radius:5px}.btn-large [class^="icon-"]{margin-top:2px}.btn-small{padding:3px 9px;font-size:12px;line-height:18px}.btn-small [class^="icon-"]{margin-top:0}.btn-mini{padding:2px 6px;font-size:11px;line-height:16px}.btn-block{display:block;width:100%;padding-right:0;padding-left:0;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}.btn-block+.btn-block{margin-top:5px}.btn-primary.active,.btn-warning.active,.btn-danger.active,.btn-success.active,.btn-info.active,.btn-inverse.active{color:rgba(255,255,255,0.75)}.btn{border-color:#c5c5c5;border-color:rgba(0,0,0,0.15) rgba(0,0,0,0.15) rgba(0,0,0,0.25)}.btn-primary{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#006dcc;*background-color:#04c;background-image:-webkit-gradient(linear,0 0,0 100%,from(#08c),to(#04c));background-image:-webkit-linear-gradient(top,#08c,#04c);background-image:-o-linear-gradient(top,#08c,#04c);background-image:linear-gradient(to bottom,#08c,#04c);background-image:-moz-linear-gradient(top,#08c,#04c);background-repeat:repeat-x;border-color:#04c #04c #002a80;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ff0088cc',endColorstr='#ff0044cc',GradientType=0);filter:progid:dximagetransform.microsoft.gradient(enabled=false)}.btn-primary:hover,.btn-primary:active,.btn-primary.active,.btn-primary.disabled,.btn-primary[disabled]{color:#fff;background-color:#04c;*background-color:#003bb3}.btn-primary:active,.btn-primary.active{background-color:#039 \9}.btn-warning{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#faa732;*background-color:#f89406;background-image:-webkit-gradient(linear,0 0,0 100%,from(#fbb450),to(#f89406));background-image:-webkit-linear-gradient(top,#fbb450,#f89406);background-image:-o-linear-gradient(top,#fbb450,#f89406);background-image:linear-gradient(to bottom,#fbb450,#f89406);background-image:-moz-linear-gradient(top,#fbb450,#f89406);background-repeat:repeat-x;border-color:#f89406 #f89406 #ad6704;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:dximagetransform.microsoft.gradient(startColorstr='#fffbb450',endColorstr='#fff89406',GradientType=0);filter:progid:dximagetransform.microsoft.gradient(enabled=false)}.btn-warning:hover,.btn-warning:active,.btn-warning.active,.btn-warning.disabled,.btn-warning[disabled]{color:#fff;background-color:#f89406;*background-color:#df8505}.btn-warning:active,.btn-warning.active{background-color:#c67605 \9}.btn-danger{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#da4f49;*background-color:#bd362f;background-image:-webkit-gradient(linear,0 0,0 100%,from(#ee5f5b),to(#bd362f));background-image:-webkit-linear-gradient(top,#ee5f5b,#bd362f);background-image:-o-linear-gradient(top,#ee5f5b,#bd362f);background-image:linear-gradient(to bottom,#ee5f5b,#bd362f);background-image:-moz-linear-gradient(top,#ee5f5b,#bd362f);background-repeat:repeat-x;border-color:#bd362f #bd362f #802420;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ffee5f5b',endColorstr='#ffbd362f',GradientType=0);filter:progid:dximagetransform.microsoft.gradient(enabled=false)}.btn-danger:hover,.btn-danger:active,.btn-danger.active,.btn-danger.disabled,.btn-danger[disabled]{color:#fff;background-color:#bd362f;*background-color:#a9302a}.btn-danger:active,.btn-danger.active{background-color:#942a25 \9}.btn-success{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#5bb75b;*background-color:#51a351;background-image:-webkit-gradient(linear,0 0,0 100%,from(#62c462),to(#51a351));background-image:-webkit-linear-gradient(top,#62c462,#51a351);background-image:-o-linear-gradient(top,#62c462,#51a351);background-image:linear-gradient(to bottom,#62c462,#51a351);background-image:-moz-linear-gradient(top,#62c462,#51a351);background-repeat:repeat-x;border-color:#51a351 #51a351 #387038;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ff62c462',endColorstr='#ff51a351',GradientType=0);filter:progid:dximagetransform.microsoft.gradient(enabled=false)}.btn-success:hover,.btn-success:active,.btn-success.active,.btn-success.disabled,.btn-success[disabled]{color:#fff;background-color:#51a351;*background-color:#499249}.btn-success:active,.btn-success.active{background-color:#408140 \9}.btn-info{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#49afcd;*background-color:#2f96b4;background-image:-webkit-gradient(linear,0 0,0 100%,from(#5bc0de),to(#2f96b4));background-image:-webkit-linear-gradient(top,#5bc0de,#2f96b4);background-image:-o-linear-gradient(top,#5bc0de,#2f96b4);background-image:linear-gradient(to bottom,#5bc0de,#2f96b4);background-image:-moz-linear-gradient(top,#5bc0de,#2f96b4);background-repeat:repeat-x;border-color:#2f96b4 #2f96b4 #1f6377;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ff5bc0de',endColorstr='#ff2f96b4',GradientType=0);filter:progid:dximagetransform.microsoft.gradient(enabled=false)}.btn-info:hover,.btn-info:active,.btn-info.active,.btn-info.disabled,.btn-info[disabled]{color:#fff;background-color:#2f96b4;*background-color:#2a85a0}.btn-info:active,.btn-info.active{background-color:#24748c \9}.btn-inverse{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#363636;*background-color:#222;background-image:-webkit-gradient(linear,0 0,0 100%,from(#444),to(#222));background-image:-webkit-linear-gradient(top,#444,#222);background-image:-o-linear-gradient(top,#444,#222);background-image:linear-gradient(to bottom,#444,#222);background-image:-moz-linear-gradient(top,#444,#222);background-repeat:repeat-x;border-color:#222 #222 #000;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ff444444',endColorstr='#ff222222',GradientType=0);filter:progid:dximagetransform.microsoft.gradient(enabled=false)}.btn-inverse:hover,.btn-inverse:active,.btn-inverse.active,.btn-inverse.disabled,.btn-inverse[disabled]{color:#fff;background-color:#222;*background-color:#151515}.btn-inverse:active,.btn-inverse.active{background-color:#080808 \9}button.btn,input[type="submit"].btn{*padding-top:3px;*padding-bottom:3px}button.btn::-moz-focus-inner,input[type="submit"].btn::-moz-focus-inner{padding:0;border:0}button.btn.btn-large,input[type="submit"].btn.btn-large{*padding-top:7px;*padding-bottom:7px}button.btn.btn-small,input[type="submit"].btn.btn-small{*padding-top:3px;*padding-bottom:3px}button.btn.btn-mini,input[type="submit"].btn.btn-mini{*padding-top:1px;*padding-bottom:1px}.btn-link,.btn-link:active{background-color:transparent;background-image:none;-webkit-box-shadow:none;-moz-box-shadow:none;box-shadow:none}.btn-link{color:#08c;cursor:pointer;border-color:transparent;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.btn-link:hover{color:#005580;text-decoration:underline;background-color:transparent}.btn-group{position:relative;*margin-left:.3em;font-size:0;white-space:nowrap}.btn-group:first-child{*margin-left:0}.btn-group+.btn-group{margin-left:5px}.btn-toolbar{margin-top:10px;margin-bottom:10px;font-size:0}.btn-toolbar .btn-group{display:inline-block;*display:inline;*zoom:1}.btn-toolbar .btn+.btn,.btn-toolbar .btn-group+.btn,.btn-toolbar .btn+.btn-group{margin-left:5px}.btn-group>.btn{position:relative;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.btn-group>.btn+.btn{margin-left:-1px}.btn-group>.btn,.btn-group>.dropdown-menu{font-size:14px}.btn-group>.btn-mini{font-size:11px}.btn-group>.btn-small{font-size:12px}.btn-group>.btn-large{font-size:16px}.btn-group>.btn:first-child{margin-left:0;-webkit-border-bottom-left-radius:4px;border-bottom-left-radius:4px;-webkit-border-top-left-radius:4px;border-top-left-radius:4px;-moz-border-radius-bottomleft:4px;-moz-border-radius-topleft:4px}.btn-group>.btn:last-child,.btn-group>.dropdown-toggle{-webkit-border-top-right-radius:4px;border-top-right-radius:4px;-webkit-border-bottom-right-radius:4px;border-bottom-right-radius:4px;-moz-border-radius-topright:4px;-moz-border-radius-bottomright:4px}.btn-group>.btn.large:first-child{margin-left:0;-webkit-border-bottom-left-radius:6px;border-bottom-left-radius:6px;-webkit-border-top-left-radius:6px;border-top-left-radius:6px;-moz-border-radius-bottomleft:6px;-moz-border-radius-topleft:6px}.btn-group>.btn.large:last-child,.btn-group>.large.dropdown-toggle{-webkit-border-top-right-radius:6px;border-top-right-radius:6px;-webkit-border-bottom-right-radius:6px;border-bottom-right-radius:6px;-moz-border-radius-topright:6px;-moz-border-radius-bottomright:6px}.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active{z-index:2}.btn-group .dropdown-toggle:active,.btn-group.open .dropdown-toggle{outline:0}.btn-group>.btn+.dropdown-toggle{*padding-top:5px;padding-right:8px;*padding-bottom:5px;padding-left:8px;-webkit-box-shadow:inset 1px 0 0 rgba(255,255,255,0.125),inset 0 1px 0 rgba(255,255,255,0.2),0 1px 2px rgba(0,0,0,0.05);-moz-box-shadow:inset 1px 0 0 rgba(255,255,255,0.125),inset 0 1px 0 rgba(255,255,255,0.2),0 1px 2px rgba(0,0,0,0.05);box-shadow:inset 1px 0 0 rgba(255,255,255,0.125),inset 0 1px 0 rgba(255,255,255,0.2),0 1px 2px rgba(0,0,0,0.05)}.btn-group>.btn-mini+.dropdown-toggle{*padding-top:2px;padding-right:5px;*padding-bottom:2px;padding-left:5px}.btn-group>.btn-small+.dropdown-toggle{*padding-top:5px;*padding-bottom:4px}.btn-group>.btn-large+.dropdown-toggle{*padding-top:7px;padding-right:12px;*padding-bottom:7px;padding-left:12px}.btn-group.open .dropdown-toggle{background-image:none;-webkit-box-shadow:inset 0 2px 4px rgba(0,0,0,0.15),0 1px 2px rgba(0,0,0,0.05);-moz-box-shadow:inset 0 2px 4px rgba(0,0,0,0.15),0 1px 2px rgba(0,0,0,0.05);box-shadow:inset 0 2px 4px rgba(0,0,0,0.15),0 1px 2px rgba(0,0,0,0.05)}.btn-group.open .btn.dropdown-toggle{background-color:#e6e6e6}.btn-group.open .btn-primary.dropdown-toggle{background-color:#04c}.btn-group.open .btn-warning.dropdown-toggle{background-color:#f89406}.btn-group.open .btn-danger.dropdown-toggle{background-color:#bd362f}.btn-group.open .btn-success.dropdown-toggle{background-color:#51a351}.btn-group.open .btn-info.dropdown-toggle{background-color:#2f96b4}.btn-group.open .btn-inverse.dropdown-toggle{background-color:#222}.btn .caret{margin-top:8px;margin-left:0}.btn-mini .caret,.btn-small .caret,.btn-large .caret{margin-top:6px}.btn-large .caret{border-top-width:5px;border-right-width:5px;border-left-width:5px}.dropup .btn-large .caret{border-top:0;border-bottom:5px solid #000}.btn-primary .caret,.btn-warning .caret,.btn-danger .caret,.btn-info .caret,.btn-success .caret,.btn-inverse .caret{border-top-color:#fff;border-bottom-color:#fff}.btn-group-vertical{display:inline-block;*display:inline;*zoom:1}.btn-group-vertical .btn{display:block;float:none;width:100%;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.btn-group-vertical .btn+.btn{margin-top:-1px;margin-left:0}.btn-group-vertical .btn:first-child{-webkit-border-radius:4px 4px 0 0;-moz-border-radius:4px 4px 0 0;border-radius:4px 4px 0 0}.btn-group-vertical .btn:last-child{-webkit-border-radius:0 0 4px 4px;-moz-border-radius:0 0 4px 4px;border-radius:0 0 4px 4px}.btn-group-vertical .btn-large:first-child{-webkit-border-radius:6px 6px 0 0;-moz-border-radius:6px 6px 0 0;border-radius:6px 6px 0 0}.btn-group-vertical .btn-large:last-child{-webkit-border-radius:0 0 6px 6px;-moz-border-radius:0 0 6px 6px;border-radius:0 0 6px 6px}.alert{padding:8px 35px 8px 14px;margin-bottom:20px;color:#c09853;text-shadow:0 1px 0 rgba(255,255,255,0.5);background-color:#fcf8e3;border:1px solid #fbeed5;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}.alert h4{margin:0}.alert .close{position:relative;top:-2px;right:-21px;line-height:20px}.alert-success{color:#468847;background-color:#dff0d8;border-color:#d6e9c6}.alert-danger,.alert-error{color:#b94a48;background-color:#f2dede;border-color:#eed3d7}.alert-info{color:#3a87ad;background-color:#d9edf7;border-color:#bce8f1}.alert-block{padding-top:14px;padding-bottom:14px}.alert-block>p,.alert-block>ul{margin-bottom:0}.alert-block p+p{margin-top:5px}.nav{margin-bottom:20px;margin-left:0;list-style:none}.nav>li>a{display:block}.nav>li>a:hover{text-decoration:none;background-color:#eee}.nav>.pull-right{float:right}.nav-header{display:block;padding:3px 15px;font-size:11px;font-weight:bold;line-height:20px;color:#999;text-shadow:0 1px 0 rgba(255,255,255,0.5);text-transform:uppercase}.nav li+.nav-header{margin-top:9px}.nav-list{padding-right:15px;padding-left:15px;margin-bottom:0}.nav-list>li>a,.nav-list .nav-header{margin-right:-15px;margin-left:-15px;text-shadow:0 1px 0 rgba(255,255,255,0.5)}.nav-list>li>a{padding:3px 15px}.nav-list>.active>a,.nav-list>.active>a:hover{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.2);background-color:#08c}.nav-list [class^="icon-"]{margin-right:2px}.nav-list .divider{*width:100%;height:1px;margin:9px 1px;*margin:-5px 0 5px;overflow:hidden;background-color:#e5e5e5;border-bottom:1px solid #fff}.nav-tabs,.nav-pills{*zoom:1}.nav-tabs:before,.nav-pills:before,.nav-tabs:after,.nav-pills:after{display:table;line-height:0;content:""}.nav-tabs:after,.nav-pills:after{clear:both}.nav-tabs>li,.nav-pills>li{float:left}.nav-tabs>li>a,.nav-pills>li>a{padding-right:12px;padding-left:12px;margin-right:2px;line-height:14px}.nav-tabs{border-bottom:1px solid #ddd}.nav-tabs>li{margin-bottom:-1px}.nav-tabs>li>a{padding-top:8px;padding-bottom:8px;line-height:20px;border:1px solid transparent;-webkit-border-radius:4px 4px 0 0;-moz-border-radius:4px 4px 0 0;border-radius:4px 4px 0 0}.nav-tabs>li>a:hover{border-color:#eee #eee #ddd}.nav-tabs>.active>a,.nav-tabs>.active>a:hover{color:#555;cursor:default;background-color:#fff;border:1px solid #ddd;border-bottom-color:transparent}.nav-pills>li>a{padding-top:8px;padding-bottom:8px;margin-top:2px;margin-bottom:2px;-webkit-border-radius:5px;-moz-border-radius:5px;border-radius:5px}.nav-pills>.active>a,.nav-pills>.active>a:hover{color:#fff;background-color:#08c}.nav-stacked>li{float:none}.nav-stacked>li>a{margin-right:0}.nav-tabs.nav-stacked{border-bottom:0}.nav-tabs.nav-stacked>li>a{border:1px solid #ddd;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.nav-tabs.nav-stacked>li:first-child>a{-webkit-border-top-right-radius:4px;border-top-right-radius:4px;-webkit-border-top-left-radius:4px;border-top-left-radius:4px;-moz-border-radius-topright:4px;-moz-border-radius-topleft:4px}.nav-tabs.nav-stacked>li:last-child>a{-webkit-border-bottom-right-radius:4px;border-bottom-right-radius:4px;-webkit-border-bottom-left-radius:4px;border-bottom-left-radius:4px;-moz-border-radius-bottomright:4px;-moz-border-radius-bottomleft:4px}.nav-tabs.nav-stacked>li>a:hover{z-index:2;border-color:#ddd}.nav-pills.nav-stacked>li>a{margin-bottom:3px}.nav-pills.nav-stacked>li:last-child>a{margin-bottom:1px}.nav-tabs .dropdown-menu{-webkit-border-radius:0 0 6px 6px;-moz-border-radius:0 0 6px 6px;border-radius:0 0 6px 6px}.nav-pills .dropdown-menu{-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px}.nav .dropdown-toggle .caret{margin-top:6px;border-top-color:#08c;border-bottom-color:#08c}.nav .dropdown-toggle:hover .caret{border-top-color:#005580;border-bottom-color:#005580}.nav-tabs .dropdown-toggle .caret{margin-top:8px}.nav .active .dropdown-toggle .caret{border-top-color:#fff;border-bottom-color:#fff}.nav-tabs .active .dropdown-toggle .caret{border-top-color:#555;border-bottom-color:#555}.nav>.dropdown.active>a:hover{cursor:pointer}.nav-tabs .open .dropdown-toggle,.nav-pills .open .dropdown-toggle,.nav>li.dropdown.open.active>a:hover{color:#fff;background-color:#999;border-color:#999}.nav li.dropdown.open .caret,.nav li.dropdown.open.active .caret,.nav li.dropdown.open a:hover .caret{border-top-color:#fff;border-bottom-color:#fff;opacity:1;filter:alpha(opacity=100)}.tabs-stacked .open>a:hover{border-color:#999}.tabbable{*zoom:1}.tabbable:before,.tabbable:after{display:table;line-height:0;content:""}.tabbable:after{clear:both}.tab-content{overflow:auto}.tabs-below>.nav-tabs,.tabs-right>.nav-tabs,.tabs-left>.nav-tabs{border-bottom:0}.tab-content>.tab-pane,.pill-content>.pill-pane{display:none}.tab-content>.active,.pill-content>.active{display:block}.tabs-below>.nav-tabs{border-top:1px solid #ddd}.tabs-below>.nav-tabs>li{margin-top:-1px;margin-bottom:0}.tabs-below>.nav-tabs>li>a{-webkit-border-radius:0 0 4px 4px;-moz-border-radius:0 0 4px 4px;border-radius:0 0 4px 4px}.tabs-below>.nav-tabs>li>a:hover{border-top-color:#ddd;border-bottom-color:transparent}.tabs-below>.nav-tabs>.active>a,.tabs-below>.nav-tabs>.active>a:hover{border-color:transparent #ddd #ddd #ddd}.tabs-left>.nav-tabs>li,.tabs-right>.nav-tabs>li{float:none}.tabs-left>.nav-tabs>li>a,.tabs-right>.nav-tabs>li>a{min-width:74px;margin-right:0;margin-bottom:3px}.tabs-left>.nav-tabs{float:left;margin-right:19px;border-right:1px solid #ddd}.tabs-left>.nav-tabs>li>a{margin-right:-1px;-webkit-border-radius:4px 0 0 4px;-moz-border-radius:4px 0 0 4px;border-radius:4px 0 0 4px}.tabs-left>.nav-tabs>li>a:hover{border-color:#eee #ddd #eee #eee}.tabs-left>.nav-tabs .active>a,.tabs-left>.nav-tabs .active>a:hover{border-color:#ddd transparent #ddd #ddd;*border-right-color:#fff}.tabs-right>.nav-tabs{float:right;margin-left:19px;border-left:1px solid #ddd}.tabs-right>.nav-tabs>li>a{margin-left:-1px;-webkit-border-radius:0 4px 4px 0;-moz-border-radius:0 4px 4px 0;border-radius:0 4px 4px 0}.tabs-right>.nav-tabs>li>a:hover{border-color:#eee #eee #eee #ddd}.tabs-right>.nav-tabs .active>a,.tabs-right>.nav-tabs .active>a:hover{border-color:#ddd #ddd #ddd transparent;*border-left-color:#fff}.nav>.disabled>a{color:#999}.nav>.disabled>a:hover{text-decoration:none;cursor:default;background-color:transparent}.navbar{*position:relative;*z-index:2;margin-bottom:20px;overflow:visible;color:#555}.navbar-inner{min-height:40px;padding-right:20px;padding-left:20px;background-color:#fafafa;background-image:-moz-linear-gradient(top,#fff,#d4e4f4);background-image:-webkit-gradient(linear,0 0,0 100%,from(#fff),to(#d4e4f4));background-image:-webkit-linear-gradient(top,#fff,#d4e4f4);background-image:-o-linear-gradient(top,#fff,#d4e4f4);background-image:linear-gradient(to bottom,#fff,#d4e4f4);background-repeat:repeat-x;border:1px solid #d4d4d4;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ffffffff',endColorstr='#ffd4e4f4',GradientType=0);-webkit-box-shadow:0 1px 4px rgba(0,0,0,0.065);-moz-box-shadow:0 1px 4px rgba(0,0,0,0.065);box-shadow:0 1px 4px rgba(0,0,0,0.065)}.navbar .container{width:auto}.nav-collapse.collapse{height:auto}.navbar .brand{display:block;float:left;padding:10px 20px 10px;margin-left:-20px;font-size:20px;font-weight:200;color:#555;text-shadow:0 1px 0 #fff}.navbar .brand:hover{text-decoration:none}.navbar-text{margin-bottom:0;line-height:40px}.navbar-link{color:#555}.navbar-link:hover{color:#333}.navbar .divider-vertical{height:40px;margin:0 9px;border-right:1px solid #fff;border-left:1px solid #f2f2f2}.navbar .btn,.navbar .btn-group{margin-top:6px}.navbar .btn-group .btn{margin:0}.navbar-form{margin-bottom:0;*zoom:1}.navbar-form:before,.navbar-form:after{display:table;line-height:0;content:""}.navbar-form:after{clear:both}.navbar-form input,.navbar-form select,.navbar-form .radio,.navbar-form .checkbox{margin-top:5px}.navbar-form input,.navbar-form select,.navbar-form .btn{display:inline-block;margin-bottom:0}.navbar-form input[type="image"],.navbar-form input[type="checkbox"],.navbar-form input[type="radio"]{margin-top:3px}.navbar-form .input-append,.navbar-form .input-prepend{margin-top:6px;white-space:nowrap}.navbar-form .input-append input,.navbar-form .input-prepend input{margin-top:0}.navbar-search{position:relative;float:left;margin-top:5px;margin-bottom:0}.navbar-search .search-query{padding:4px 14px;margin-bottom:0;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:13px;font-weight:normal;line-height:1;-webkit-border-radius:15px;-moz-border-radius:15px;border-radius:15px}.navbar-static-top{position:static;width:100%;margin-bottom:0}.navbar-static-top .navbar-inner{-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.navbar-fixed-top,.navbar-fixed-bottom{position:fixed;right:0;left:0;z-index:1030;margin-bottom:0}.navbar-fixed-top .navbar-inner,.navbar-fixed-bottom .navbar-inner,.navbar-static-top .navbar-inner{border:0}.navbar-fixed-top .navbar-inner,.navbar-fixed-bottom .navbar-inner{padding-right:0;padding-left:0;-webkit-border-radius:0;-moz-border-radius:0;border-radius:0}.navbar-static-top .container,.navbar-fixed-top .container,.navbar-fixed-bottom .container{width:940px}.navbar-fixed-top{top:0}.navbar-fixed-top .navbar-inner,.navbar-static-top .navbar-inner{-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,0.1),0 1px 10px rgba(0,0,0,0.1);-moz-box-shadow:inset 0 -1px 0 rgba(0,0,0,0.1),0 1px 10px rgba(0,0,0,0.1);box-shadow:inset 0 -1px 0 rgba(0,0,0,0.1),0 1px 10px rgba(0,0,0,0.1)}.navbar-fixed-bottom{bottom:0}.navbar-fixed-bottom .navbar-inner{-webkit-box-shadow:inset 0 1px 0 rgba(0,0,0,0.1),0 -1px 10px rgba(0,0,0,0.1);-moz-box-shadow:inset 0 1px 0 rgba(0,0,0,0.1),0 -1px 10px rgba(0,0,0,0.1);box-shadow:inset 0 1px 0 rgba(0,0,0,0.1),0 -1px 10px rgba(0,0,0,0.1)}.navbar .nav{position:relative;left:0;display:block;float:left;margin:0 10px 0 0}.navbar .nav.pull-right{float:right}.navbar .nav>li{float:left}.navbar .nav>li>a{float:none;padding:10px 15px 10px;color:#555;text-decoration:none;text-shadow:0 1px 0 #fff}.navbar .nav .dropdown-toggle .caret{margin-top:8px}.navbar .nav>li>a:focus,.navbar .nav>li>a:hover{color:#333;text-decoration:none;background-color:transparent}.navbar .nav>.active>a,.navbar .nav>.active>a:hover,.navbar .nav>.active>a:focus{color:#555;text-decoration:none;background-color:#e5e5e5;-webkit-box-shadow:inset 0 3px 8px rgba(0,0,0,0.125);-moz-box-shadow:inset 0 3px 8px rgba(0,0,0,0.125);box-shadow:inset 0 3px 8px rgba(0,0,0,0.125)}.navbar .btn-navbar{display:none;float:right;padding:7px 10px;margin-right:5px;margin-left:5px;color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#ededed;*background-color:#e5e5e5;background-image:-webkit-gradient(linear,0 0,0 100%,from(#f2f2f2),to(#e5e5e5));background-image:-webkit-linear-gradient(top,#f2f2f2,#e5e5e5);background-image:-o-linear-gradient(top,#f2f2f2,#e5e5e5);background-image:linear-gradient(to bottom,#f2f2f2,#e5e5e5);background-image:-moz-linear-gradient(top,#f2f2f2,#e5e5e5);background-repeat:repeat-x;border-color:#e5e5e5 #e5e5e5 #bfbfbf;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:dximagetransform.microsoft.gradient(startColorstr='#fff2f2f2',endColorstr='#ffe5e5e5',GradientType=0);filter:progid:dximagetransform.microsoft.gradient(enabled=false);-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,0.1),0 1px 0 rgba(255,255,255,0.075);-moz-box-shadow:inset 0 1px 0 rgba(255,255,255,0.1),0 1px 0 rgba(255,255,255,0.075);box-shadow:inset 0 1px 0 rgba(255,255,255,0.1),0 1px 0 rgba(255,255,255,0.075)}.navbar .btn-navbar:hover,.navbar .btn-navbar:active,.navbar .btn-navbar.active,.navbar .btn-navbar.disabled,.navbar .btn-navbar[disabled]{color:#fff;background-color:#e5e5e5;*background-color:#d9d9d9}.navbar .btn-navbar:active,.navbar .btn-navbar.active{background-color:#ccc \9}.navbar .btn-navbar .icon-bar{display:block;width:18px;height:2px;background-color:#f5f5f5;-webkit-border-radius:1px;-moz-border-radius:1px;border-radius:1px;-webkit-box-shadow:0 1px 0 rgba(0,0,0,0.25);-moz-box-shadow:0 1px 0 rgba(0,0,0,0.25);box-shadow:0 1px 0 rgba(0,0,0,0.25)}.btn-navbar .icon-bar+.icon-bar{margin-top:3px}.navbar .nav>li>.dropdown-menu:before{position:absolute;top:-7px;left:9px;display:inline-block;border-right:7px solid transparent;border-bottom:7px solid #ccc;border-left:7px solid transparent;border-bottom-color:rgba(0,0,0,0.2);content:''}.navbar .nav>li>.dropdown-menu:after{position:absolute;top:-6px;left:10px;display:inline-block;border-right:6px solid transparent;border-bottom:6px solid #fff;border-left:6px solid transparent;content:''}.navbar-fixed-bottom .nav>li>.dropdown-menu:before{top:auto;bottom:-7px;border-top:7px solid #ccc;border-bottom:0;border-top-color:rgba(0,0,0,0.2)}.navbar-fixed-bottom .nav>li>.dropdown-menu:after{top:auto;bottom:-6px;border-top:6px solid #fff;border-bottom:0}.navbar .nav li.dropdown.open>.dropdown-toggle,.navbar .nav li.dropdown.active>.dropdown-toggle,.navbar .nav li.dropdown.open.active>.dropdown-toggle{color:#555;background-color:#e5e5e5}.navbar .nav li.dropdown>.dropdown-toggle .caret{border-top-color:#555;border-bottom-color:#555}.navbar .nav li.dropdown.open>.dropdown-toggle .caret,.navbar .nav li.dropdown.active>.dropdown-toggle .caret,.navbar .nav li.dropdown.open.active>.dropdown-toggle .caret{border-top-color:#555;border-bottom-color:#555}.navbar .pull-right>li>.dropdown-menu,.navbar .nav>li>.dropdown-menu.pull-right{right:0;left:auto}.navbar .pull-right>li>.dropdown-menu:before,.navbar .nav>li>.dropdown-menu.pull-right:before{right:12px;left:auto}.navbar .pull-right>li>.dropdown-menu:after,.navbar .nav>li>.dropdown-menu.pull-right:after{right:13px;left:auto}.navbar .pull-right>li>.dropdown-menu .dropdown-menu,.navbar .nav>li>.dropdown-menu.pull-right .dropdown-menu{right:100%;left:auto;margin-right:-1px;margin-left:0;-webkit-border-radius:6px 0 6px 6px;-moz-border-radius:6px 0 6px 6px;border-radius:6px 0 6px 6px}.navbar-inverse{color:#999}.navbar-inverse .navbar-inner{background-color:#1b1b1b;background-image:-moz-linear-gradient(top,#222,#111);background-image:-webkit-gradient(linear,0 0,0 100%,from(#222),to(#111));background-image:-webkit-linear-gradient(top,#222,#111);background-image:-o-linear-gradient(top,#222,#111);background-image:linear-gradient(to bottom,#222,#111);background-repeat:repeat-x;border-color:#252525;filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ff222222',endColorstr='#ff111111',GradientType=0)}.navbar-inverse .brand,.navbar-inverse .nav>li>a{color:#999;text-shadow:0 -1px 0 rgba(0,0,0,0.25)}.navbar-inverse .brand:hover,.navbar-inverse .nav>li>a:hover{color:#fff}.navbar-inverse .nav>li>a:focus,.navbar-inverse .nav>li>a:hover{color:#fff;background-color:transparent}.navbar-inverse .nav .active>a,.navbar-inverse .nav .active>a:hover,.navbar-inverse .nav .active>a:focus{color:#fff;background-color:#111}.navbar-inverse .navbar-link{color:#999}.navbar-inverse .navbar-link:hover{color:#fff}.navbar-inverse .divider-vertical{border-right-color:#222;border-left-color:#111}.navbar-inverse .nav li.dropdown.open>.dropdown-toggle,.navbar-inverse .nav li.dropdown.active>.dropdown-toggle,.navbar-inverse .nav li.dropdown.open.active>.dropdown-toggle{color:#fff;background-color:#111}.navbar-inverse .nav li.dropdown>.dropdown-toggle .caret{border-top-color:#999;border-bottom-color:#999}.navbar-inverse .nav li.dropdown.open>.dropdown-toggle .caret,.navbar-inverse .nav li.dropdown.active>.dropdown-toggle .caret,.navbar-inverse .nav li.dropdown.open.active>.dropdown-toggle .caret{border-top-color:#fff;border-bottom-color:#fff}.navbar-inverse .navbar-search .search-query{color:#fff;background-color:#515151;border-color:#111;-webkit-box-shadow:inset 0 1px 2px rgba(0,0,0,0.1),0 1px 0 rgba(255,255,255,0.15);-moz-box-shadow:inset 0 1px 2px rgba(0,0,0,0.1),0 1px 0 rgba(255,255,255,0.15);box-shadow:inset 0 1px 2px rgba(0,0,0,0.1),0 1px 0 rgba(255,255,255,0.15);-webkit-transition:none;-moz-transition:none;-o-transition:none;transition:none}.navbar-inverse .navbar-search .search-query:-moz-placeholder{color:#ccc}.navbar-inverse .navbar-search .search-query:-ms-input-placeholder{color:#ccc}.navbar-inverse .navbar-search .search-query::-webkit-input-placeholder{color:#ccc}.navbar-inverse .navbar-search .search-query:focus,.navbar-inverse .navbar-search .search-query.focused{padding:5px 15px;color:#333;text-shadow:0 1px 0 #fff;background-color:#fff;border:0;outline:0;-webkit-box-shadow:0 0 3px rgba(0,0,0,0.15);-moz-box-shadow:0 0 3px rgba(0,0,0,0.15);box-shadow:0 0 3px rgba(0,0,0,0.15)}.navbar-inverse .btn-navbar{color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#0e0e0e;*background-color:#040404;background-image:-webkit-gradient(linear,0 0,0 100%,from(#151515),to(#040404));background-image:-webkit-linear-gradient(top,#151515,#040404);background-image:-o-linear-gradient(top,#151515,#040404);background-image:linear-gradient(to bottom,#151515,#040404);background-image:-moz-linear-gradient(top,#151515,#040404);background-repeat:repeat-x;border-color:#040404 #040404 #000;border-color:rgba(0,0,0,0.1) rgba(0,0,0,0.1) rgba(0,0,0,0.25);filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ff151515',endColorstr='#ff040404',GradientType=0);filter:progid:dximagetransform.microsoft.gradient(enabled=false)}.navbar-inverse .btn-navbar:hover,.navbar-inverse .btn-navbar:active,.navbar-inverse .btn-navbar.active,.navbar-inverse .btn-navbar.disabled,.navbar-inverse .btn-navbar[disabled]{color:#fff;background-color:#040404;*background-color:#000}.navbar-inverse .btn-navbar:active,.navbar-inverse .btn-navbar.active{background-color:#000 \9}.breadcrumb{padding:8px 15px;margin:0 0 20px;list-style:none;background-color:#f5f5f5;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}.breadcrumb li{display:inline-block;*display:inline;text-shadow:0 1px 0 #fff;*zoom:1}.breadcrumb .divider{padding:0 5px;color:#ccc}.breadcrumb .active{color:#999}.pagination{height:40px;margin:20px 0}.pagination ul{display:inline-block;*display:inline;margin-bottom:0;margin-left:0;-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px;*zoom:1;-webkit-box-shadow:0 1px 2px rgba(0,0,0,0.05);-moz-box-shadow:0 1px 2px rgba(0,0,0,0.05);box-shadow:0 1px 2px rgba(0,0,0,0.05)}.pagination li{display:inline}.pagination a,.pagination span{float:left;padding:0 14px;line-height:38px;text-decoration:none;background-color:#fff;border:1px solid #ddd;border-left-width:0}.pagination a:hover,.pagination .active a,.pagination .active span{background-color:#f5f5f5}.pagination .active a,.pagination .active span{color:#999;cursor:default}.pagination .disabled span,.pagination .disabled a,.pagination .disabled a:hover{color:#999;cursor:default;background-color:transparent}.pagination li:first-child a,.pagination li:first-child span{border-left-width:1px;-webkit-border-radius:3px 0 0 3px;-moz-border-radius:3px 0 0 3px;border-radius:3px 0 0 3px}.pagination li:last-child a,.pagination li:last-child span{-webkit-border-radius:0 3px 3px 0;-moz-border-radius:0 3px 3px 0;border-radius:0 3px 3px 0}.pagination-centered{text-align:center}.pagination-right{text-align:right}.pager{margin:20px 0;text-align:center;list-style:none;*zoom:1}.pager:before,.pager:after{display:table;line-height:0;content:""}.pager:after{clear:both}.pager li{display:inline}.pager a{display:inline-block;padding:5px 14px;background-color:#fff;border:1px solid #ddd;-webkit-border-radius:15px;-moz-border-radius:15px;border-radius:15px}.pager a:hover{text-decoration:none;background-color:#f5f5f5}.pager .next a{float:right}.pager .previous a{float:left}.pager .disabled a,.pager .disabled a:hover{color:#999;cursor:default;background-color:#fff}.modal-open .dropdown-menu{z-index:2050}.modal-open .dropdown.open{*z-index:2050}.modal-open .popover{z-index:2060}.modal-open .tooltip{z-index:2080}.modal-backdrop{position:fixed;top:0;right:0;bottom:0;left:0;z-index:1040;background-color:#000}.modal-backdrop.fade{opacity:0}.modal-backdrop,.modal-backdrop.fade.in{opacity:.8;filter:alpha(opacity=80)}.modal{position:fixed;top:50%;left:50%;z-index:1050;width:560px;margin:-250px 0 0 -280px;overflow:auto;background-color:#fff;border:1px solid #999;border:1px solid rgba(0,0,0,0.3);*border:1px solid #999;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px;-webkit-box-shadow:0 3px 7px rgba(0,0,0,0.3);-moz-box-shadow:0 3px 7px rgba(0,0,0,0.3);box-shadow:0 3px 7px rgba(0,0,0,0.3);-webkit-background-clip:padding-box;-moz-background-clip:padding-box;background-clip:padding-box}.modal.fade{top:-25%;-webkit-transition:opacity .3s linear,top .3s ease-out;-moz-transition:opacity .3s linear,top .3s ease-out;-o-transition:opacity .3s linear,top .3s ease-out;transition:opacity .3s linear,top .3s ease-out}.modal.fade.in{top:50%}.modal-header{padding:9px 15px;border-bottom:1px solid #eee}.modal-header .close{margin-top:2px}.modal-header h3{margin:0;line-height:30px}.modal-body{max-height:400px;padding:15px;overflow-y:auto}.modal-form{margin-bottom:0}.modal-footer{padding:14px 15px 15px;margin-bottom:0;text-align:right;background-color:#f5f5f5;border-top:1px solid #ddd;-webkit-border-radius:0 0 6px 6px;-moz-border-radius:0 0 6px 6px;border-radius:0 0 6px 6px;*zoom:1;-webkit-box-shadow:inset 0 1px 0 #fff;-moz-box-shadow:inset 0 1px 0 #fff;box-shadow:inset 0 1px 0 #fff}.modal-footer:before,.modal-footer:after{display:table;line-height:0;content:""}.modal-footer:after{clear:both}.modal-footer .btn+.btn{margin-bottom:0;margin-left:5px}.modal-footer .btn-group .btn+.btn{margin-left:-1px}.tooltip{position:absolute;z-index:1030;display:block;padding:5px;font-size:11px;opacity:0;filter:alpha(opacity=0);visibility:visible}.tooltip.in{opacity:.8;filter:alpha(opacity=80)}.tooltip.top{margin-top:-3px}.tooltip.right{margin-left:3px}.tooltip.bottom{margin-top:3px}.tooltip.left{margin-left:-3px}.tooltip-inner{max-width:200px;padding:3px 8px;color:#fff;text-align:center;text-decoration:none;background-color:#000;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}.tooltip-arrow{position:absolute;width:0;height:0;border-color:transparent;border-style:solid}.tooltip.top .tooltip-arrow{bottom:0;left:50%;margin-left:-5px;border-top-color:#000;border-width:5px 5px 0}.tooltip.right .tooltip-arrow{top:50%;left:0;margin-top:-5px;border-right-color:#000;border-width:5px 5px 5px 0}.tooltip.left .tooltip-arrow{top:50%;right:0;margin-top:-5px;border-left-color:#000;border-width:5px 0 5px 5px}.tooltip.bottom .tooltip-arrow{top:0;left:50%;margin-left:-5px;border-bottom-color:#000;border-width:0 5px 5px}.popover{position:absolute;top:0;left:0;z-index:1010;display:none;width:236px;padding:1px;background-color:#fff;border:1px solid #ccc;border:1px solid rgba(0,0,0,0.2);-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px;-webkit-box-shadow:0 5px 10px rgba(0,0,0,0.2);-moz-box-shadow:0 5px 10px rgba(0,0,0,0.2);box-shadow:0 5px 10px rgba(0,0,0,0.2);-webkit-background-clip:padding-box;-moz-background-clip:padding;background-clip:padding-box}.popover.top{margin-bottom:10px}.popover.right{margin-left:10px}.popover.bottom{margin-top:10px}.popover.left{margin-right:10px}.popover-title{padding:8px 14px;margin:0;font-size:14px;font-weight:normal;line-height:18px;background-color:#f7f7f7;border-bottom:1px solid #ebebeb;-webkit-border-radius:5px 5px 0 0;-moz-border-radius:5px 5px 0 0;border-radius:5px 5px 0 0}.popover-content{padding:9px 14px}.popover-content p,.popover-content ul,.popover-content ol{margin-bottom:0}.popover .arrow,.popover .arrow:after{position:absolute;display:inline-block;width:0;height:0;border-color:transparent;border-style:solid}.popover .arrow:after{z-index:-1;content:""}.popover.top .arrow{bottom:-10px;left:50%;margin-left:-10px;border-top-color:#fff;border-width:10px 10px 0}.popover.top .arrow:after{bottom:-1px;left:-11px;border-top-color:rgba(0,0,0,0.25);border-width:11px 11px 0}.popover.right .arrow{top:50%;left:-10px;margin-top:-10px;border-right-color:#fff;border-width:10px 10px 10px 0}.popover.right .arrow:after{bottom:-11px;left:-1px;border-right-color:rgba(0,0,0,0.25);border-width:11px 11px 11px 0}.popover.bottom .arrow{top:-10px;left:50%;margin-left:-10px;border-bottom-color:#fff;border-width:0 10px 10px}.popover.bottom .arrow:after{top:-1px;left:-11px;border-bottom-color:rgba(0,0,0,0.25);border-width:0 11px 11px}.popover.left .arrow{top:50%;right:-10px;margin-top:-10px;border-left-color:#fff;border-width:10px 0 10px 10px}.popover.left .arrow:after{right:-1px;bottom:-11px;border-left-color:rgba(0,0,0,0.25);border-width:11px 0 11px 11px}.thumbnails{margin-left:-20px;list-style:none;*zoom:1}.thumbnails:before,.thumbnails:after{display:table;line-height:0;content:""}.thumbnails:after{clear:both}.row-fluid .thumbnails{margin-left:0}.thumbnails>li{float:left;margin-bottom:20px;margin-left:20px}.thumbnail{display:block;padding:4px;line-height:20px;border:1px solid #ddd;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;-webkit-box-shadow:0 1px 3px rgba(0,0,0,0.055);-moz-box-shadow:0 1px 3px rgba(0,0,0,0.055);box-shadow:0 1px 3px rgba(0,0,0,0.055);-webkit-transition:all .2s ease-in-out;-moz-transition:all .2s ease-in-out;-o-transition:all .2s ease-in-out;transition:all .2s ease-in-out}a.thumbnail:hover{border-color:#08c;-webkit-box-shadow:0 1px 4px rgba(0,105,214,0.25);-moz-box-shadow:0 1px 4px rgba(0,105,214,0.25);box-shadow:0 1px 4px rgba(0,105,214,0.25)}.thumbnail>img{display:block;max-width:100%;margin-right:auto;margin-left:auto}.thumbnail .caption{padding:9px;color:#555}.label,.badge{font-size:11.844px;font-weight:bold;line-height:14px;color:#fff;text-shadow:0 -1px 0 rgba(0,0,0,0.25);white-space:nowrap;vertical-align:baseline;background-color:#999}.label{padding:1px 4px 2px;-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px}.badge{padding:1px 9px 2px;-webkit-border-radius:9px;-moz-border-radius:9px;border-radius:9px}a.label:hover,a.badge:hover{color:#fff;text-decoration:none;cursor:pointer}.label-important,.badge-important{background-color:#b94a48}.label-important[href],.badge-important[href]{background-color:#953b39}.label-warning,.badge-warning{background-color:#f89406}.label-warning[href],.badge-warning[href]{background-color:#c67605}.label-success,.badge-success{background-color:#468847}.label-success[href],.badge-success[href]{background-color:#356635}.label-info,.badge-info{background-color:#3a87ad}.label-info[href],.badge-info[href]{background-color:#2d6987}.label-inverse,.badge-inverse{background-color:#333}.label-inverse[href],.badge-inverse[href]{background-color:#1a1a1a}.btn .label,.btn .badge{position:relative;top:-1px}.btn-mini .label,.btn-mini .badge{top:0}@-webkit-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@-moz-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@-ms-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@-o-keyframes progress-bar-stripes{from{background-position:0 0}to{background-position:40px 0}}@keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}.progress{height:20px;margin-bottom:20px;overflow:hidden;background-color:#f7f7f7;background-image:-moz-linear-gradient(top,#f5f5f5,#f9f9f9);background-image:-webkit-gradient(linear,0 0,0 100%,from(#f5f5f5),to(#f9f9f9));background-image:-webkit-linear-gradient(top,#f5f5f5,#f9f9f9);background-image:-o-linear-gradient(top,#f5f5f5,#f9f9f9);background-image:linear-gradient(to bottom,#f5f5f5,#f9f9f9);background-repeat:repeat-x;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;filter:progid:dximagetransform.microsoft.gradient(startColorstr='#fff5f5f5',endColorstr='#fff9f9f9',GradientType=0);-webkit-box-shadow:inset 0 1px 2px rgba(0,0,0,0.1);-moz-box-shadow:inset 0 1px 2px rgba(0,0,0,0.1);box-shadow:inset 0 1px 2px rgba(0,0,0,0.1)}.progress .bar{float:left;width:0;height:100%;font-size:12px;color:#fff;text-align:center;text-shadow:0 -1px 0 rgba(0,0,0,0.25);background-color:#0e90d2;background-image:-moz-linear-gradient(top,#149bdf,#0480be);background-image:-webkit-gradient(linear,0 0,0 100%,from(#149bdf),to(#0480be));background-image:-webkit-linear-gradient(top,#149bdf,#0480be);background-image:-o-linear-gradient(top,#149bdf,#0480be);background-image:linear-gradient(to bottom,#149bdf,#0480be);background-repeat:repeat-x;filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ff149bdf',endColorstr='#ff0480be',GradientType=0);-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,0.15);-moz-box-shadow:inset 0 -1px 0 rgba(0,0,0,0.15);box-shadow:inset 0 -1px 0 rgba(0,0,0,0.15);-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;-webkit-transition:width .6s ease;-moz-transition:width .6s ease;-o-transition:width .6s ease;transition:width .6s ease}.progress .bar+.bar{-webkit-box-shadow:inset 1px 0 0 rgba(0,0,0,0.15),inset 0 -1px 0 rgba(0,0,0,0.15);-moz-box-shadow:inset 1px 0 0 rgba(0,0,0,0.15),inset 0 -1px 0 rgba(0,0,0,0.15);box-shadow:inset 1px 0 0 rgba(0,0,0,0.15),inset 0 -1px 0 rgba(0,0,0,0.15)}.progress-striped .bar{background-color:#149bdf;background-image:-webkit-gradient(linear,0 100%,100% 0,color-stop(0.25,rgba(255,255,255,0.15)),color-stop(0.25,transparent),color-stop(0.5,transparent),color-stop(0.5,rgba(255,255,255,0.15)),color-stop(0.75,rgba(255,255,255,0.15)),color-stop(0.75,transparent),to(transparent));background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-moz-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);-webkit-background-size:40px 40px;-moz-background-size:40px 40px;-o-background-size:40px 40px;background-size:40px 40px}.progress.active .bar{-webkit-animation:progress-bar-stripes 2s linear infinite;-moz-animation:progress-bar-stripes 2s linear infinite;-ms-animation:progress-bar-stripes 2s linear infinite;-o-animation:progress-bar-stripes 2s linear infinite;animation:progress-bar-stripes 2s linear infinite}.progress-danger .bar,.progress .bar-danger{background-color:#dd514c;background-image:-moz-linear-gradient(top,#ee5f5b,#c43c35);background-image:-webkit-gradient(linear,0 0,0 100%,from(#ee5f5b),to(#c43c35));background-image:-webkit-linear-gradient(top,#ee5f5b,#c43c35);background-image:-o-linear-gradient(top,#ee5f5b,#c43c35);background-image:linear-gradient(to bottom,#ee5f5b,#c43c35);background-repeat:repeat-x;filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ffee5f5b',endColorstr='#ffc43c35',GradientType=0)}.progress-danger.progress-striped .bar,.progress-striped .bar-danger{background-color:#ee5f5b;background-image:-webkit-gradient(linear,0 100%,100% 0,color-stop(0.25,rgba(255,255,255,0.15)),color-stop(0.25,transparent),color-stop(0.5,transparent),color-stop(0.5,rgba(255,255,255,0.15)),color-stop(0.75,rgba(255,255,255,0.15)),color-stop(0.75,transparent),to(transparent));background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-moz-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent)}.progress-success .bar,.progress .bar-success{background-color:#5eb95e;background-image:-moz-linear-gradient(top,#62c462,#57a957);background-image:-webkit-gradient(linear,0 0,0 100%,from(#62c462),to(#57a957));background-image:-webkit-linear-gradient(top,#62c462,#57a957);background-image:-o-linear-gradient(top,#62c462,#57a957);background-image:linear-gradient(to bottom,#62c462,#57a957);background-repeat:repeat-x;filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ff62c462',endColorstr='#ff57a957',GradientType=0)}.progress-success.progress-striped .bar,.progress-striped .bar-success{background-color:#62c462;background-image:-webkit-gradient(linear,0 100%,100% 0,color-stop(0.25,rgba(255,255,255,0.15)),color-stop(0.25,transparent),color-stop(0.5,transparent),color-stop(0.5,rgba(255,255,255,0.15)),color-stop(0.75,rgba(255,255,255,0.15)),color-stop(0.75,transparent),to(transparent));background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-moz-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent)}.progress-info .bar,.progress .bar-info{background-color:#4bb1cf;background-image:-moz-linear-gradient(top,#5bc0de,#339bb9);background-image:-webkit-gradient(linear,0 0,0 100%,from(#5bc0de),to(#339bb9));background-image:-webkit-linear-gradient(top,#5bc0de,#339bb9);background-image:-o-linear-gradient(top,#5bc0de,#339bb9);background-image:linear-gradient(to bottom,#5bc0de,#339bb9);background-repeat:repeat-x;filter:progid:dximagetransform.microsoft.gradient(startColorstr='#ff5bc0de',endColorstr='#ff339bb9',GradientType=0)}.progress-info.progress-striped .bar,.progress-striped .bar-info{background-color:#5bc0de;background-image:-webkit-gradient(linear,0 100%,100% 0,color-stop(0.25,rgba(255,255,255,0.15)),color-stop(0.25,transparent),color-stop(0.5,transparent),color-stop(0.5,rgba(255,255,255,0.15)),color-stop(0.75,rgba(255,255,255,0.15)),color-stop(0.75,transparent),to(transparent));background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-moz-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent)}.progress-warning .bar,.progress .bar-warning{background-color:#faa732;background-image:-moz-linear-gradient(top,#fbb450,#f89406);background-image:-webkit-gradient(linear,0 0,0 100%,from(#fbb450),to(#f89406));background-image:-webkit-linear-gradient(top,#fbb450,#f89406);background-image:-o-linear-gradient(top,#fbb450,#f89406);background-image:linear-gradient(to bottom,#fbb450,#f89406);background-repeat:repeat-x;filter:progid:dximagetransform.microsoft.gradient(startColorstr='#fffbb450',endColorstr='#fff89406',GradientType=0)}.progress-warning.progress-striped .bar,.progress-striped .bar-warning{background-color:#fbb450;background-image:-webkit-gradient(linear,0 100%,100% 0,color-stop(0.25,rgba(255,255,255,0.15)),color-stop(0.25,transparent),color-stop(0.5,transparent),color-stop(0.5,rgba(255,255,255,0.15)),color-stop(0.75,rgba(255,255,255,0.15)),color-stop(0.75,transparent),to(transparent));background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-moz-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,0.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,0.15) 50%,rgba(255,255,255,0.15) 75%,transparent 75%,transparent)}.accordion{margin-bottom:20px}.accordion-group{margin-bottom:2px;border:1px solid #e5e5e5;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px}.accordion-heading{border-bottom:0}.accordion-heading .accordion-toggle{display:block;padding:8px 15px}.accordion-toggle{cursor:pointer}.accordion-inner{padding:9px 15px;border-top:1px solid #e5e5e5}.carousel{position:relative;margin-bottom:20px;line-height:1}.carousel-inner{position:relative;width:100%;overflow:hidden}.carousel .item{position:relative;display:none;-webkit-transition:.6s ease-in-out left;-moz-transition:.6s ease-in-out left;-o-transition:.6s ease-in-out left;transition:.6s ease-in-out left}.carousel .item>img{display:block;line-height:1}.carousel .active,.carousel .next,.carousel .prev{display:block}.carousel .active{left:0}.carousel .next,.carousel .prev{position:absolute;top:0;width:100%}.carousel .next{left:100%}.carousel .prev{left:-100%}.carousel .next.left,.carousel .prev.right{left:0}.carousel .active.left{left:-100%}.carousel .active.right{left:100%}.carousel-control{position:absolute;top:40%;left:15px;width:40px;height:40px;margin-top:-20px;font-size:60px;font-weight:100;line-height:30px;color:#fff;text-align:center;background:#222;border:3px solid #fff;-webkit-border-radius:23px;-moz-border-radius:23px;border-radius:23px;opacity:.5;filter:alpha(opacity=50)}.carousel-control.right{right:15px;left:auto}.carousel-control:hover{color:#fff;text-decoration:none;opacity:.9;filter:alpha(opacity=90)}.carousel-caption{position:absolute;right:0;bottom:0;left:0;padding:15px;background:#333;background:rgba(0,0,0,0.75)}.carousel-caption h4,.carousel-caption p{line-height:20px;color:#fff}.carousel-caption h4{margin:0 0 5px}.carousel-caption p{margin-bottom:0}.hero-unit{padding:60px;margin-bottom:30px;background-color:#eee;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px}.hero-unit h1{margin-bottom:0;font-size:60px;line-height:1;letter-spacing:-1px;color:inherit}.hero-unit p{font-size:18px;font-weight:200;line-height:30px;color:inherit}.pull-right{float:right}.pull-left{float:left}.hide{display:none}.show{display:block}.invisible{visibility:hidden}.affix{position:fixed}
diff --git a/docs/hardware-provisioning.md b/docs/hardware-provisioning.md
new file mode 100644
index 0000000000..e5f054cb14
--- /dev/null
+++ b/docs/hardware-provisioning.md
@@ -0,0 +1,69 @@
+---
+layout: global
+title: Hardware Provisioning
+---
+
+A common question received by Spark developers is how to configure hardware for it. While the right
+hardware will depend on the situation, we make the following recommendations.
+
+# Storage Systems
+
+Because most Spark jobs will likely have to read input data from an external storage system (e.g.
+the Hadoop File System, or HBase), it is important to place it **as close to this system as
+possible**. We recommend the following:
+
+* If at all possible, run Spark on the same nodes as HDFS. The simplest way is to set up a Spark
+[standalone mode cluster](spark-standalone.html) on the same nodes, and configure Spark and
+Hadoop's memory and CPU usage to avoid interference (for Hadoop, the relevant options are
+`mapred.child.java.opts` for the per-task memory and `mapred.tasktracker.map.tasks.maximum`
+and `mapred.tasktracker.reduce.tasks.maximum` for number of tasks). Alternatively, you can run
+Hadoop and Spark on a common cluster manager like [Mesos](running-on-mesos.html) or
+[Hadoop YARN](running-on-yarn.html).
+
+* If this is not possible, run Spark on different nodes in the same local-area network as HDFS.
+
+* For low-latency data stores like HBase, it may be preferrable to run computing jobs on different
+nodes than the storage system to avoid interference.
+
+# Local Disks
+
+While Spark can perform a lot of its computation in memory, it still uses local disks to store
+data that doesn't fit in RAM, as well as to preserve intermediate output between stages. We
+recommend having **4-8 disks** per node, configured _without_ RAID (just as separate mount points).
+In Linux, mount the disks with the [`noatime` option](http://www.centos.org/docs/5/html/Global_File_System/s2-manage-mountnoatime.html)
+to reduce unnecessary writes. In Spark, [configure](configuration.html) the `spark.local.dir`
+variable to be a comma-separated list of the local disks. If you are running HDFS, it's fine to
+use the same disks as HDFS.
+
+# Memory
+
+In general, Spark can run well with anywhere from **8 GB to hundreds of gigabytes** of memory per
+machine. In all cases, we recommend allocating only at most 75% of the memory for Spark; leave the
+rest for the operating system and buffer cache.
+
+How much memory you will need will depend on your application. To determine how much your
+application uses for a certain dataset size, load part of your dataset in a Spark RDD and use the
+Storage tab of Spark's monitoring UI (`http://<driver-node>:3030`) to see its size in memory.
+Note that memory usage is greatly affected by storage level and serialization format -- see
+the [tuning guide](tuning.html) for tips on how to reduce it.
+
+Finally, note that the Java VM does not always behave well with more than 200 GB of RAM. If you
+purchase machines with more RAM than this, you can run _multiple worker JVMs per node_. In
+Spark's [standalone mode](spark-standalone.html), you can set the number of workers per node
+with the `SPARK_WORKER_INSTANCES` variable in `conf/spark-env.sh`, and the number of cores
+per worker with `SPARK_WORKER_CORES`.
+
+# Network
+
+In our experience, when the data is in memory, a lot of Spark applications are network-bound.
+Using a **10 Gigabit** or higher network is the best way to make these applications faster.
+This is especially true for "distributed reduce" applications such as group-bys, reduce-bys, and
+SQL joins. In any given application, you can see how much data Spark shuffles across the network
+from the application's monitoring UI (`http://<driver-node>:3030`).
+
+# CPU Cores
+
+Spark scales well to tens of CPU cores per machine because it performes minimal sharing between
+threads. You should likely provision at least **8-16 cores** per machine. Depending on the CPU
+cost of your workload, you may also need more: once data is in memory, most applications are
+either CPU- or network-bound.
diff --git a/docs/img/incubator-logo.png b/docs/img/incubator-logo.png
new file mode 100644
index 0000000000..33ca7f6227
--- /dev/null
+++ b/docs/img/incubator-logo.png
diff --git a/docs/index.md b/docs/index.md
index ec9c7dd4f3..7d73929940 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -3,50 +3,65 @@ layout: global
 title: Spark Overview
 ---
 
-Spark is a MapReduce-like cluster computing framework designed for low-latency iterative jobs and interactive use from an interpreter.
-It provides clean, language-integrated APIs in [Scala](scala-programming-guide.html), [Java](java-programming-guide.html), and [Python](python-programming-guide.html), with a rich array of parallel operators.
-Spark can run on the Apache Mesos cluster manager, Hadoop YARN, Amazon EC2, or without an independent resource manager ("standalone mode").
+Apache Spark is a fast and general-purpose cluster computing system.
+It provides high-level APIs in [Scala](scala-programming-guide.html), [Java](java-programming-guide.html), and [Python](python-programming-guide.html) that make parallel jobs easy to write, and an optimized engine that supports general computation graphs.
+It also supports a rich set of higher-level tools including [Shark](http://shark.cs.berkeley.edu) (Hive on Spark), [MLlib](mllib-guide.html) for machine learning, [Bagel](bagel-programming-guide.html) for graph processing, and [Spark Streaming](streaming-programming-guide.html).
 
 # Downloading
 
-Get Spark by visiting the [downloads page](http://spark-project.org/downloads.html) of the Spark website. This documentation is for Spark version {{site.SPARK_VERSION}}.
+Get Spark by visiting the [downloads page](http://spark.incubator.apache.org/downloads.html) of the Apache Spark site. This documentation is for Spark version {{site.SPARK_VERSION}}.
 
-# Building
+Spark runs on both Windows and UNIX-like systems (e.g. Linux, Mac OS). All you need to run it is to have `java` to installed on your system `PATH`, or the `JAVA_HOME` environment variable pointing to a Java installation.
 
-Spark requires [Scala {{site.SCALA_VERSION}}](http://www.scala-lang.org/). You will need to have Scala's `bin` directory in your `PATH`,
-or you will need to set the `SCALA_HOME` environment variable to point
-to where you've installed Scala. Scala must also be accessible through one
-of these methods on slave nodes on your cluster.
+# Building
 
 Spark uses [Simple Build Tool](http://www.scala-sbt.org), which is bundled with it. To compile the code, go into the top-level Spark directory and run
 
     sbt/sbt assembly
 
-Spark also supports building using Maven. If you would like to build using Maven, see the [instructions for building Spark with Maven](building-with-maven.html).
+For its Scala API, Spark {{site.SPARK_VERSION}} depends on Scala {{site.SCALA_VERSION}}. If you write applications in Scala, you will need to use this same version of Scala in your own program -- newer major versions may not work. You can get the right version of Scala from [scala-lang.org](http://www.scala-lang.org/download/).
 
 # Testing the Build
 
-Spark comes with a number of sample programs in the `examples` directory.
+Spark comes with several sample programs in the `examples` directory.
 To run one of the samples, use `./run-example <class> <params>` in the top-level Spark directory
-(the `run` script sets up the appropriate paths and launches that program).
-For example, `./run-example spark.examples.SparkPi` will run a sample program that estimates Pi. Each of the
-examples prints usage help if no params are given.
+(the `run-example` script sets up the appropriate paths and launches that program).
+For example, try `./run-example org.apache.spark.examples.SparkPi local`.
+Each example prints usage help when run with no parameters.
 
 Note that all of the sample programs take a `<master>` parameter specifying the cluster URL
 to connect to. This can be a [URL for a distributed cluster](scala-programming-guide.html#master-urls),
 or `local` to run locally with one thread, or `local[N]` to run locally with N threads. You should start by using
 `local` for testing.
 
-Finally, Spark can be used interactively from a modified version of the Scala interpreter that you can start through
-`./spark-shell`. This is a great way to learn Spark.
+Finally, Spark can be used interactively through modified versions of the Scala shell (`./spark-shell`) or
+Python interpreter (`./pyspark`). These are a great way to learn Spark.
+
+# Running on a Cluster
+
+Spark supports several options for deployment:
+
+* [Amazon EC2](ec2-scripts.html): our scripts let you launch a cluster in about 5 minutes
+* [Standalone Deploy Mode](spark-standalone.html): simplest way to deploy Spark on a private cluster
+* [Apache Mesos](running-on-mesos.html)
+* [Hadoop YARN](running-on-yarn.html)
 
 # A Note About Hadoop Versions
 
-Spark uses the Hadoop core library to talk to HDFS and other Hadoop-supported
+Spark uses the Hadoop-client library to talk to HDFS and other Hadoop-supported
 storage systems. Because the HDFS protocol has changed in different versions of
-Hadoop, you must build Spark against the same version that your cluster runs.
-You can change the version by setting the `HADOOP_VERSION` variable at the top
-of `project/SparkBuild.scala`, then rebuilding Spark (`sbt/sbt clean compile`).
+Hadoop, you must build Spark against the same version that your cluster uses.
+By default, Spark links to Hadoop 1.0.4. You can change this by setting the
+`SPARK_HADOOP_VERSION` variable when compiling:
+
+    SPARK_HADOOP_VERSION=1.2.1 sbt/sbt assembly
+
+In addition, if you wish to run Spark on [YARN](running-on-yarn.md), set
+`SPARK_YARN` to `true`:
+
+    SPARK_HADOOP_VERSION=2.0.5-alpha SPARK_YARN=true sbt/sbt assembly
+
+(Note that on Windows, you need to set the environment variables on separate lines, e.g., `set SPARK_HADOOP_VERSION=1.2.1`.)
 
 # Where to Go from Here
 
@@ -54,15 +69,20 @@ of `project/SparkBuild.scala`, then rebuilding Spark (`sbt/sbt clean compile`).
 
 * [Quick Start](quick-start.html): a quick introduction to the Spark API; start here!
 * [Spark Programming Guide](scala-programming-guide.html): an overview of Spark concepts, and details on the Scala API
-* [Java Programming Guide](java-programming-guide.html): using Spark from Java
-* [Python Programming Guide](python-programming-guide.html): using Spark from Python
-* [Spark Streaming Guide](streaming-programming-guide.html): using the alpha release of Spark Streaming
+  * [Java Programming Guide](java-programming-guide.html): using Spark from Java
+  * [Python Programming Guide](python-programming-guide.html): using Spark from Python
+* [Spark Streaming](streaming-programming-guide.html): using the alpha release of Spark Streaming
+* [MLlib (Machine Learning)](mllib-guide.html): Spark's built-in machine learning library
+* [Bagel (Pregel on Spark)](bagel-programming-guide.html): simple graph processing model
 
 **API Docs:**
 
-* [Spark Java/Scala (Scaladoc)](api/core/index.html)
-* [Spark Python (Epydoc)](api/pyspark/index.html)
-* [Spark Streaming Java/Scala (Scaladoc)](api/streaming/index.html)
+* [Spark for Java/Scala (Scaladoc)](api/core/index.html)
+* [Spark for Python (Epydoc)](api/pyspark/index.html)
+* [Spark Streaming for Java/Scala (Scaladoc)](api/streaming/index.html)
+* [MLlib (Machine Learning) for Java/Scala (Scaladoc)](api/mllib/index.html)
+* [Bagel (Pregel on Spark) for Scala (Scaladoc)](api/bagel/index.html)
+
 
 **Deployment guides:**
 
@@ -74,27 +94,28 @@ of `project/SparkBuild.scala`, then rebuilding Spark (`sbt/sbt clean compile`).
 
 **Other documents:**
 
-* [Building Spark With Maven](building-with-maven.html): Build Spark using the Maven build tool
 * [Configuration](configuration.html): customize Spark via its configuration system
 * [Tuning Guide](tuning.html): best practices to optimize performance and memory use
-* [Bagel](bagel-programming-guide.html): an implementation of Google's Pregel on Spark
+* [Hardware Provisioning](hardware-provisioning.html): recommendations for cluster hardware
+* [Building Spark with Maven](building-with-maven.html): Build Spark using the Maven build tool
 * [Contributing to Spark](contributing-to-spark.html)
 
 **External resources:**
 
-* [Spark Homepage](http://www.spark-project.org)
-* [Mailing List](http://groups.google.com/group/spark-users): ask questions about Spark here
-* [AMP Camp](http://ampcamp.berkeley.edu/): a two-day training camp at UC Berkeley that featured talks and exercises
-  about Spark, Shark, Mesos, and more. [Videos](http://ampcamp.berkeley.edu/agenda-2012),
+* [Spark Homepage](http://spark.incubator.apache.org)
+* [Shark](http://shark.cs.berkeley.edu): Apache Hive over Spark
+* [Mailing Lists](http://spark.incubator.apache.org/mailing-lists.html): ask questions about Spark here
+* [AMP Camps](http://ampcamp.berkeley.edu/): a series of training camps at UC Berkeley that featured talks and
+  exercises about Spark, Shark, Mesos, and more. [Videos](http://ampcamp.berkeley.edu/agenda-2012),
   [slides](http://ampcamp.berkeley.edu/agenda-2012) and [exercises](http://ampcamp.berkeley.edu/exercises-2012) are
   available online for free.
-* [Code Examples](http://spark-project.org/examples.html): more are also available in the [examples subfolder](https://github.com/mesos/spark/tree/master/examples/src/main/scala/spark/examples) of Spark
+* [Code Examples](http://spark.incubator.apache.org/examples.html): more are also available in the [examples subfolder](https://github.com/apache/incubator-spark/tree/master/examples/src/main/scala/) of Spark
 * [Paper Describing Spark](http://www.cs.berkeley.edu/~matei/papers/2012/nsdi_spark.pdf)
 * [Paper Describing Spark Streaming](http://www.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-259.pdf)
 
 # Community
 
-To get help using Spark or keep up with Spark development, sign up for the [spark-users mailing list](http://groups.google.com/group/spark-users).
+To get help using Spark or keep up with Spark development, sign up for the [user mailing list](http://spark.incubator.apache.org/mailing-lists.html).
 
 If you're in the San Francisco Bay Area, there's a regular [Spark meetup](http://www.meetup.com/spark-users/) every few weeks. Come by to meet the developers and other users.
 
diff --git a/docs/java-programming-guide.md b/docs/java-programming-guide.md
index dd19a5f0c9..53085cc671 100644
--- a/docs/java-programming-guide.md
+++ b/docs/java-programming-guide.md
@@ -10,9 +10,9 @@ easy to follow even if you don't know Scala.
 This guide will show how to use the Spark features described there in Java.
 
 The Spark Java API is defined in the
-[`spark.api.java`](api/core/index.html#spark.api.java.package) package, and includes
-a [`JavaSparkContext`](api/core/index.html#spark.api.java.JavaSparkContext) for
-initializing Spark and [`JavaRDD`](api/core/index.html#spark.api.java.JavaRDD) classes,
+[`org.apache.spark.api.java`](api/core/index.html#org.apache.spark.api.java.package) package, and includes
+a [`JavaSparkContext`](api/core/index.html#org.apache.spark.api.java.JavaSparkContext) for
+initializing Spark and [`JavaRDD`](api/core/index.html#org.apache.spark.api.java.JavaRDD) classes,
 which support the same methods as their Scala counterparts but take Java functions and return
 Java data and collection types. The main differences have to do with passing functions to RDD
 operations (e.g. map) and handling RDDs of different types, as discussed next.
@@ -23,12 +23,12 @@ There are a few key differences between the Java and Scala APIs:
 
 * Java does not support anonymous or first-class functions, so functions must
   be implemented by extending the
-  [`spark.api.java.function.Function`](api/core/index.html#spark.api.java.function.Function),
-  [`Function2`](api/core/index.html#spark.api.java.function.Function2), etc.
+  [`org.apache.spark.api.java.function.Function`](api/core/index.html#org.apache.spark.api.java.function.Function),
+  [`Function2`](api/core/index.html#org.apache.spark.api.java.function.Function2), etc.
   classes.
 * To maintain type safety, the Java API defines specialized Function and RDD
   classes for key-value pairs and doubles. For example, 
-  [`JavaPairRDD`](api/core/index.html#spark.api.java.JavaPairRDD)
+  [`JavaPairRDD`](api/core/index.html#org.apache.spark.api.java.JavaPairRDD)
   stores key-value pairs.
 * RDD methods like `collect()` and `countByKey()` return Java collections types,
   such as `java.util.List` and `java.util.Map`.
@@ -44,8 +44,8 @@ In the Scala API, these methods are automatically added using Scala's
 [implicit conversions](http://www.scala-lang.org/node/130) mechanism.
 
 In the Java API, the extra methods are defined in the
-[`JavaPairRDD`](api/core/index.html#spark.api.java.JavaPairRDD)
-and [`JavaDoubleRDD`](api/core/index.html#spark.api.java.JavaDoubleRDD)
+[`JavaPairRDD`](api/core/index.html#org.apache.spark.api.java.JavaPairRDD)
+and [`JavaDoubleRDD`](api/core/index.html#org.apache.spark.api.java.JavaDoubleRDD)
 classes.  RDD methods like `map` are overloaded by specialized `PairFunction`
 and `DoubleFunction` classes, allowing them to return RDDs of the appropriate
 types.  Common methods like `filter` and `sample` are implemented by
@@ -75,7 +75,7 @@ class has a single abstract method, `call()`, that must be implemented.
 ## Storage Levels
 
 RDD [storage level](scala-programming-guide.html#rdd-persistence) constants, such as `MEMORY_AND_DISK`, are
-declared in the [spark.api.java.StorageLevels](api/core/index.html#spark.api.java.StorageLevels) class. To
+declared in the [org.apache.spark.api.java.StorageLevels](api/core/index.html#org.apache.spark.api.java.StorageLevels) class. To
 define your own storage level, you can use StorageLevels.create(...). 
 
 
@@ -92,8 +92,8 @@ The Java API supports other Spark features, including
 As an example, we will implement word count using the Java API.
 
 {% highlight java %}
-import spark.api.java.*;
-import spark.api.java.function.*;
+import org.apache.spark.api.java.*;
+import org.apache.spark.api.java.function.*;
 
 JavaSparkContext sc = new JavaSparkContext(...);
 JavaRDD<String> lines = ctx.textFile("hdfs://...");
@@ -179,7 +179,7 @@ just a matter of style.
 # Javadoc
 
 We currently provide documentation for the Java API as Scaladoc, in the
-[`spark.api.java` package](api/core/index.html#spark.api.java.package), because
+[`org.apache.spark.api.java` package](api/core/index.html#org.apache.spark.api.java.package), because
 some of the classes are implemented in Scala. The main downside is that the types and function
 definitions show Scala syntax (for example, `def reduce(func: Function2[T, T]): T` instead of
 `T reduce(Function2<T, T> func)`). 
@@ -189,7 +189,10 @@ We hope to generate documentation with Java-style syntax in the future.
 # Where to Go from Here
 
 Spark includes several sample programs using the Java API in
-[`examples/src/main/java`](https://github.com/mesos/spark/tree/master/examples/src/main/java/spark/examples).  You can run them by passing the class name to the
-`run-example` script included in Spark -- for example, `./run-example
-spark.examples.JavaWordCount`.  Each example program prints usage help when run
+[`examples/src/main/java`](https://github.com/apache/incubator-spark/tree/master/examples/src/main/java/org/apache/spark/examples).  You can run them by passing the class name to the
+`run-example` script included in Spark; for example:
+
+    ./run-example org.apache.spark.examples.JavaWordCount
+
+Each example program prints usage help when run
 without any arguments.
diff --git a/docs/mllib-guide.md b/docs/mllib-guide.md
new file mode 100644
index 0000000000..c897f8b36c
--- /dev/null
+++ b/docs/mllib-guide.md
@@ -0,0 +1,6 @@
+---
+layout: global
+title: Machine Learning Library (MLlib)
+---
+
+Coming soon.
diff --git a/docs/python-programming-guide.md b/docs/python-programming-guide.md
index 15d3ebfcae..8c33a953a4 100644
--- a/docs/python-programming-guide.md
+++ b/docs/python-programming-guide.md
@@ -4,7 +4,7 @@ title: Python Programming Guide
 ---
 
 
-The Spark Python API (PySpark) exposes most of the Spark features available in the Scala version to Python.
+The Spark Python API (PySpark) exposes the Spark programming model to Python.
 To learn the basics of Spark, we recommend reading through the
 [Scala programming guide](scala-programming-guide.html) first; it should be
 easy to follow even if you don't know Scala.
@@ -15,12 +15,8 @@ This guide will show how to use the Spark features described there in Python.
 
 There are a few key differences between the Python and Scala APIs:
 
-* Python is dynamically typed, so RDDs can hold objects of different types.
-* PySpark does not currently support the following Spark features:
-    - Special functions on RDDs of doubles, such as `mean` and `stdev`
-    - `lookup`, `sample` and `sort`
-    - `persist` at storage levels other than `MEMORY_ONLY`
-    - Execution on Windows -- this is slated for a future release
+* Python is dynamically typed, so RDDs can hold objects of multiple types.
+* PySpark does not yet support a few API calls, such as `lookup`, `sort`, and `persist` at custom storage levels. See the [API docs](api/pyspark/index.html) for details.
 
 In PySpark, RDDs support the same methods as their Scala counterparts but take Python functions and return Python collection types.
 Short functions can be passed to RDD methods using Python's [`lambda`](http://www.diveintopython.net/power_of_introspection/lambda_functions.html) syntax:
@@ -30,7 +26,7 @@ logData = sc.textFile(logFile).cache()
 errors = logData.filter(lambda line: "ERROR" in line)
 {% endhighlight %}
 
-You can also pass functions that are defined using the `def` keyword; this is useful for more complicated functions that cannot be expressed using `lambda`:
+You can also pass functions that are defined with the `def` keyword; this is useful for longer functions that can't be expressed using `lambda`:
 
 {% highlight python %}
 def is_error(line):
@@ -38,7 +34,7 @@ def is_error(line):
 errors = logData.filter(is_error)
 {% endhighlight %}
 
-Functions can access objects in enclosing scopes, although modifications to those objects within RDD methods will not be propagated to other tasks:
+Functions can access objects in enclosing scopes, although modifications to those objects within RDD methods will not be propagated back:
 
 {% highlight python %}
 error_keywords = ["Exception", "Error"]
@@ -51,17 +47,20 @@ PySpark will automatically ship these functions to workers, along with any objec
 Instances of classes will be serialized and shipped to workers by PySpark, but classes themselves cannot be automatically distributed to workers.
 The [Standalone Use](#standalone-use) section describes how to ship code dependencies to workers.
 
+In addition, PySpark fully supports interactive use---simply run `./pyspark` to launch an interactive shell.
+
 
 # Installing and Configuring PySpark
 
 PySpark requires Python 2.6 or higher.
-PySpark jobs are executed using a standard cPython interpreter in order to support Python modules that use C extensions.
+PySpark jobs are executed using a standard CPython interpreter in order to support Python modules that use C extensions.
 We have not tested PySpark with Python 3 or with alternative Python interpreters, such as [PyPy](http://pypy.org/) or [Jython](http://www.jython.org/).
-By default, PySpark's scripts will run programs using `python`; an alternate Python executable may be specified by setting the `PYSPARK_PYTHON` environment variable in `conf/spark-env.sh`.
+
+By default, PySpark requires `python` to be available on the system `PATH` and use it to run programs; an alternate Python executable may be specified by setting the `PYSPARK_PYTHON` environment variable in `conf/spark-env.sh` (or `.cmd` on Windows).
 
 All of PySpark's library dependencies, including [Py4J](http://py4j.sourceforge.net/), are bundled with PySpark and automatically imported.
 
-Standalone PySpark jobs should be run using the `pyspark` script, which automatically configures the Java and Python environment using the settings in `conf/spark-env.sh`.
+Standalone PySpark jobs should be run using the `pyspark` script, which automatically configures the Java and Python environment using the settings in `conf/spark-env.sh` or `.cmd`.
 The script automatically adds the `pyspark` package to the `PYTHONPATH`.
 
 
@@ -101,7 +100,7 @@ $ MASTER=local[4] ./pyspark
 ## IPython
 
 It is also possible to launch PySpark in [IPython](http://ipython.org), the enhanced Python interpreter.
-To do this, simply set the `IPYTHON` variable to `1` when running `pyspark`:
+To do this, set the `IPYTHON` variable to `1` when running `pyspark`:
 
 {% highlight bash %}
 $ IPYTHON=1 ./pyspark
@@ -132,12 +131,16 @@ sc = SparkContext("local", "Job Name", pyFiles=['MyFile.py', 'lib.zip', 'app.egg
 Files listed here will be added to the `PYTHONPATH` and shipped to remote worker machines.
 Code dependencies can be added to an existing SparkContext using its `addPyFile()` method.
 
+# API Docs
+
+[API documentation](api/pyspark/index.html) for PySpark is available as Epydoc.
+Many of the methods also contain [doctests](http://docs.python.org/2/library/doctest.html) that provide additional usage examples.
 
 # Where to Go from Here
 
-PySpark includes several sample programs in the [`python/examples` folder](https://github.com/mesos/spark/tree/master/python/examples).
-You can run them by passing the files to the `pyspark` script -- for example `./pyspark python/examples/wordcount.py`.
-Each program prints usage help when run without arguments.
+PySpark also includes several sample programs in the [`python/examples` folder](https://github.com/apache/incubator-spark/tree/master/python/examples).
+You can run them by passing the files to `pyspark`; e.g.:
+
+    ./pyspark python/examples/wordcount.py
 
-We currently provide [API documentation](api/pyspark/index.html) for the Python API as Epydoc.
-Many of the RDD method descriptions contain [doctests](http://docs.python.org/2/library/doctest.html) that provide additional usage examples.
+Each program prints usage help when run without arguments.
diff --git a/docs/quick-start.md b/docs/quick-start.md
index 4e9deadbaa..70c3df8095 100644
--- a/docs/quick-start.md
+++ b/docs/quick-start.md
@@ -53,7 +53,7 @@ scala> textFile.filter(line => line.contains("Spark")).count() // How many lines
 res3: Long = 15
 {% endhighlight %}
 
-## More On RDD Operations
+## More on RDD Operations
 RDD actions and transformations can be used for more complex computations. Let's say we want to find the line with the most words:
 
 {% highlight scala %}
@@ -108,8 +108,8 @@ We'll create a very simple Spark job in Scala. So simple, in fact, that it's nam
 
 {% highlight scala %}
 /*** SimpleJob.scala ***/
-import spark.SparkContext
-import SparkContext._
+import org.apache.spark.SparkContext
+import org.apache.spark.SparkContext._
 
 object SimpleJob {
   def main(args: Array[String]) {
@@ -126,7 +126,7 @@ object SimpleJob {
 
 This job simply counts the number of lines containing 'a' and the number containing 'b' in the Spark README. Note that you'll need to replace $YOUR_SPARK_HOME with the location where Spark is installed. Unlike the earlier examples with the Spark shell, which initializes its own SparkContext, we initialize a SparkContext as part of the job. We pass the SparkContext constructor four arguments, the type of scheduler we want to use (in this case, a local scheduler), a name for the job, the directory where Spark is installed, and a name for the jar file containing the job's sources. The final two arguments are needed in a distributed setting, where Spark is running across several nodes, so we include them for completeness. Spark will automatically ship the jar files you list to slave nodes.
 
-This file depends on the Spark API, so we'll also include an sbt configuration file, `simple.sbt` which explains that Spark is a dependency. This file also adds two repositories which host Spark dependencies:
+This file depends on the Spark API, so we'll also include an sbt configuration file, `simple.sbt` which explains that Spark is a dependency. This file also adds a repository that Spark depends on:
 
 {% highlight scala %}
 name := "Simple Project"
@@ -135,14 +135,18 @@ version := "1.0"
 
 scalaVersion := "{{site.SCALA_VERSION}}"
 
-libraryDependencies += "org.spark-project" %% "spark-core" % "{{site.SPARK_VERSION}}"
+libraryDependencies += "org.apache.spark" %% "spark-core" % "{{site.SPARK_VERSION}}"
 
-resolvers ++= Seq(
-  "Akka Repository" at "http://repo.akka.io/releases/",
-  "Spray Repository" at "http://repo.spray.cc/")
+resolvers += "Akka Repository" at "http://repo.akka.io/releases/"
 {% endhighlight %}
 
-Of course, for sbt to work correctly, we'll need to layout `SimpleJob.scala` and `simple.sbt` according to the typical directory structure. Once that is in place, we can create a JAR package containing the job's code, then use `sbt run` to execute our example job.
+If you also wish to read data from Hadoop's HDFS, you will also need to add a dependency on `hadoop-client` for your version of HDFS:
+
+{% highlight scala %}
+libraryDependencies += "org.apache.hadoop" % "hadoop-client" % "<your-hdfs-version>"
+{% endhighlight %}
+
+Finally, for sbt to work correctly, we'll need to layout `SimpleJob.scala` and `simple.sbt` according to the typical directory structure. Once that is in place, we can create a JAR package containing the job's code, then use `sbt run` to execute our example job.
 
 {% highlight bash %}
 $ find .
@@ -159,8 +163,6 @@ $ sbt run
 Lines with a: 46, Lines with b: 23
 {% endhighlight %}
 
-This example only runs the job locally; for a tutorial on running jobs across several machines, see the [Standalone Mode](spark-standalone.html) documentation, and consider using a distributed input source, such as HDFS.
-
 # A Standalone Job In Java
 Now say we wanted to write a standalone job using the Java API. We will walk through doing this with Maven. If you are using other build systems, consider using the Spark assembly JAR described in the developer guide.
 
@@ -168,8 +170,8 @@ We'll create a very simple Spark job, `SimpleJob.java`:
 
 {% highlight java %}
 /*** SimpleJob.java ***/
-import spark.api.java.*;
-import spark.api.java.function.Function;
+import org.apache.spark.api.java.*;
+import org.apache.spark.api.java.function.Function;
 
 public class SimpleJob {
   public static void main(String[] args) {
@@ -205,17 +207,13 @@ To build the job, we also write a Maven `pom.xml` file that lists Spark as a dep
   <version>1.0</version>
   <repositories>
     <repository>
-      <id>Spray.cc repository</id>
-      <url>http://repo.spray.cc</url>
-    </repository>
-    <repository>
       <id>Akka repository</id>
       <url>http://repo.akka.io/releases</url>
     </repository>
   </repositories>
   <dependencies>
     <dependency> <!-- Spark dependency -->
-      <groupId>org.spark-project</groupId>
+      <groupId>org.apache.spark</groupId>
       <artifactId>spark-core_{{site.SCALA_VERSION}}</artifactId>
       <version>{{site.SPARK_VERSION}}</version>
     </dependency>
@@ -223,6 +221,16 @@ To build the job, we also write a Maven `pom.xml` file that lists Spark as a dep
 </project>
 {% endhighlight %}
 
+If you also wish to read data from Hadoop's HDFS, you will also need to add a dependency on `hadoop-client` for your version of HDFS:
+
+{% highlight xml %}
+    <dependency>
+      <groupId>org.apache.hadoop</groupId>
+      <artifactId>hadoop-client</artifactId>
+      <version>...</version>
+    </dependency>
+{% endhighlight %}
+
 We lay out these files according to the canonical Maven directory structure:
 {% highlight bash %}
 $ find .
@@ -242,8 +250,6 @@ $ mvn exec:java -Dexec.mainClass="SimpleJob"
 Lines with a: 46, Lines with b: 23
 {% endhighlight %}
 
-This example only runs the job locally; for a tutorial on running jobs across several machines, see the [Standalone Mode](spark-standalone.html) documentation, and consider using a distributed input source, such as HDFS.
-
 # A Standalone Job In Python
 Now we will show how to write a standalone job using the Python API (PySpark).
 
@@ -280,4 +286,33 @@ $ ./pyspark SimpleJob.py
 Lines with a: 46, Lines with b: 23
 {% endhighlight python %}
 
-This example only runs the job locally; for a tutorial on running jobs across several machines, see the [Standalone Mode](spark-standalone.html) documentation, and consider using a distributed input source, such as HDFS.
+# Running Jobs on a Cluster
+
+There are a few additional considerations when running jobs on a 
+[Spark](spark-standalone.html), [YARN](running-on-yarn.html), or 
+[Mesos](running-on-mesos.html) cluster.
+
+### Including Your Dependencies
+If your code depends on other projects, you will need to ensure they are also
+present on the slave nodes. A popular approach is to create an
+assembly jar (or "uber" jar) containing your code and its dependencies. Both
+[sbt](https://github.com/sbt/sbt-assembly) and 
+[Maven](http://maven.apache.org/plugins/maven-assembly-plugin/) 
+have assembly plugins. When creating assembly jars, list Spark 
+itself as a `provided` dependency; it need not be bundled since it is 
+already present on the slaves. Once you have an assembled jar, 
+add it to the SparkContext as shown here. It is also possible to submit 
+your dependent jars one-by-one when creating a SparkContext.
+
+### Setting Configuration Options
+Spark includes several configuration options which influence the behavior
+of your job. These should be set as 
+[JVM system properties](configuration.html#system-properties) in your 
+program. The options will be captured and shipped to all slave nodes.
+
+### Accessing Hadoop Filesystems
+
+The examples here access a local file. To read data from a distributed
+filesystem, such as HDFS, include 
+[Hadoop version information](index.html#a-note-about-hadoop-versions)
+in your build file. By default, Spark builds against HDFS 1.0.4.
diff --git a/docs/running-on-mesos.md b/docs/running-on-mesos.md
index f4a3eb667c..b31f78e8bf 100644
--- a/docs/running-on-mesos.md
+++ b/docs/running-on-mesos.md
@@ -9,9 +9,8 @@ Spark can run on private clusters managed by the [Apache Mesos](http://incubator
 2. Download Mesos {{site.MESOS_VERSION}} from a [mirror](http://www.apache.org/dyn/closer.cgi/incubator/mesos/mesos-{{site.MESOS_VERSION}}/).
 3. Configure Mesos using the `configure` script, passing the location of your `JAVA_HOME` using `--with-java-home`. Mesos comes with "template" configure scripts for different platforms, such as `configure.macosx`, that you can run. See the README file in Mesos for other options. **Note:** If you want to run Mesos without installing it into the default paths on your system (e.g. if you don't have administrative privileges to install it), you should also pass the `--prefix` option to `configure` to tell it where to install. For example, pass `--prefix=/home/user/mesos`. By default the prefix is `/usr/local`.
 4. Build Mesos using `make`, and then install it using `make install`.
-5. Create a file called `spark-env.sh` in Spark's `conf` directory, by copying `conf/spark-env.sh.template`, and add the following lines in it:
+5. Create a file called `spark-env.sh` in Spark's `conf` directory, by copying `conf/spark-env.sh.template`, and add the following lines it:
    * `export MESOS_NATIVE_LIBRARY=<path to libmesos.so>`. This path is usually `<prefix>/lib/libmesos.so` (where the prefix is `/usr/local` by default). Also, on Mac OS X, the library is called `libmesos.dylib` instead of `.so`.
-   * `export SCALA_HOME=<path to Scala directory>`.
 6. Copy Spark and Mesos to the _same_ paths on all the nodes in the cluster (or, for Mesos, `make install` on every node).
 7. Configure Mesos for deployment:
    * On your master node, edit `<prefix>/var/mesos/deploy/masters` to list your master and `<prefix>/var/mesos/deploy/slaves` to list the slaves, where `<prefix>` is the prefix where you installed Mesos (`/usr/local` by default).
diff --git a/docs/running-on-yarn.md b/docs/running-on-yarn.md
index 2f0d71fc35..fded896185 100644
--- a/docs/running-on-yarn.md
+++ b/docs/running-on-yarn.md
@@ -3,51 +3,34 @@ layout: global
 title: Launching Spark on YARN
 ---
 
-Experimental support for running over a [YARN (Hadoop
+Support for running on [YARN (Hadoop
 NextGen)](http://hadoop.apache.org/docs/r2.0.2-alpha/hadoop-yarn/hadoop-yarn-site/YARN.html)
-cluster was added to Spark in version 0.6.0.  This was merged into master as part of 0.7 effort.
-To build spark with YARN support, please use the hadoop2-yarn profile.
-Ex:  mvn -Phadoop2-yarn clean install
+was added to Spark in version 0.6.0, and improved in 0.7.0 and 0.8.0.
 
-# Building spark core consolidated jar.
+# Building a YARN-Enabled Assembly JAR
 
-We need a consolidated spark core jar (which bundles all the required dependencies) to run Spark jobs on a yarn cluster.
-This can be built either through sbt or via maven.
+We need a consolidated Spark JAR (which bundles all the required dependencies) to run Spark jobs on a YARN cluster.
+This can be built by setting the Hadoop version and `SPARK_YARN` environment variable, as follows:
 
--   Building spark assembled jar via sbt.
-Enable YARN support by setting `SPARK_YARN=true` when invoking sbt:
+    SPARK_HADOOP_VERSION=2.0.5-alpha SPARK_YARN=true ./sbt/sbt assembly
 
-    SPARK_HADOOP_VERSION=2.0.5-alpha SPARK_YARN=true ./sbt/sbt clean assembly
-
-The assembled jar would typically be something like :
-`./yarn/target/spark-yarn-assembly-0.8.0-SNAPSHOT.jar`
-
-
--   Building spark assembled jar via Maven.
-    Use the hadoop2-yarn profile and execute the package target.
-
-Something like this. Ex:
-
-    mvn -Phadoop2-yarn -Dhadoop.version=2.0.5-alpha clean package -DskipTests=true
-
-
-This will build the shaded (consolidated) jar. Typically something like :
-`./yarn/target/spark-yarn-bin-<VERSION>-shaded.jar`
+The assembled JAR will be something like this:
+`./assembly/target/scala-{{site.SCALA_VERSION}}/spark-assembly_{{site.SPARK_VERSION}}-hadoop2.0.5.jar`.
 
 
 # Preparations
 
-- Building spark-yarn assembly (see above).
+- Building a YARN-enabled assembly (see above).
 - Your application code must be packaged into a separate JAR file.
 
-If you want to test out the YARN deployment mode, you can use the current Spark examples. A `spark-examples_{{site.SCALA_VERSION}}-{{site.SPARK_VERSION}}` file can be generated by running `sbt/sbt package`. NOTE: since the documentation you're reading is for Spark version {{site.SPARK_VERSION}}, we are assuming here that you have downloaded Spark {{site.SPARK_VERSION}} or checked it out of source control. If you are using a different version of Spark, the version numbers in the jar generated by the sbt package command will obviously be different.
+If you want to test out the YARN deployment mode, you can use the current Spark examples. A `spark-examples_{{site.SCALA_VERSION}}-{{site.SPARK_VERSION}}` file can be generated by running `sbt/sbt assembly`. NOTE: since the documentation you're reading is for Spark version {{site.SPARK_VERSION}}, we are assuming here that you have downloaded Spark {{site.SPARK_VERSION}} or checked it out of source control. If you are using a different version of Spark, the version numbers in the jar generated by the sbt package command will obviously be different.
 
 # Configuration
 
 Most of the configs are the same for Spark on YARN as other deploys. See the Configuration page for more information on those.  These are configs that are specific to SPARK on YARN.
 
 Environment variables:
-* `SPARK_YARN_USER_ENV`, to add environment variables to the Spark processes launched on YARN. This can be a comma separated list of environment variables. ie SPARK_YARN_USER_ENV="JAVA_HOME=/jdk64,FOO=bar"
+* `SPARK_YARN_USER_ENV`, to add environment variables to the Spark processes launched on YARN. This can be a comma separated list of environment variables, e.g. `SPARK_YARN_USER_ENV="JAVA_HOME=/jdk64,FOO=bar"`.
 
 System Properties:
 * 'spark.yarn.applicationMaster.waitTries', property to set the number of times the ApplicationMaster waits for the the spark master and then also the number of tries it waits for the Spark Context to be intialized. Default is 10.
diff --git a/docs/scala-programming-guide.md b/docs/scala-programming-guide.md
index db584d2096..f7768e55fc 100644
--- a/docs/scala-programming-guide.md
+++ b/docs/scala-programming-guide.md
@@ -17,19 +17,27 @@ This guide shows each of these features and walks through some samples. It assum
 
 # Linking with Spark
 
-To write a Spark application, you will need to add both Spark and its dependencies to your CLASSPATH. If you use sbt or Maven, Spark is available through Maven Central at:
+Spark {{site.SPARK_VERSION}} uses Scala {{site.SCALA_VERSION}}. If you write applications in Scala, you'll need to use this same version of Scala in your program -- newer major versions may not work.
 
-    groupId = org.spark-project
+To write a Spark application, you need to add a dependency on Spark. If you use SBT or Maven, Spark is available through Maven Central at:
+
+    groupId = org.apache.spark
     artifactId = spark-core_{{site.SCALA_VERSION}}
     version = {{site.SPARK_VERSION}} 
 
-For other build systems or environments, you can run `sbt/sbt assembly` to build both Spark and its dependencies into one JAR (`core/target/spark-core-assembly-0.6.0.jar`), then add this to your CLASSPATH.
+In addition, if you wish to access an HDFS cluster, you need to add a dependency on `hadoop-client` for your version of HDFS:
+
+    groupId = org.apache.hadoop
+    artifactId = hadoop-client
+    version = <your-hdfs-version>
+
+For other build systems, you can run `sbt/sbt assembly` to pack Spark and its dependencies into one JAR (`assembly/target/scala-{{site.SCALA_VERSION}}/spark-assembly-{{site.SPARK_VERSION}}-hadoop*.jar`), then add this to your CLASSPATH. Set the HDFS version as described [here](index.html#a-note-about-hadoop-versions).
 
-In addition, you'll need to import some Spark classes and implicit conversions. Add the following lines at the top of your program:
+Finally, you need to import some Spark classes and implicit conversions into your program. Add the following lines:
 
 {% highlight scala %}
-import spark.SparkContext
-import SparkContext._
+import org.apache.spark.SparkContext
+import org.apache.spark.SparkContext._
 {% endhighlight %}
 
 # Initializing Spark
@@ -134,7 +142,7 @@ All transformations in Spark are <i>lazy</i>, in that they do not compute their
 
 By default, each transformed RDD is recomputed each time you run an action on it. However, you may also *persist* an RDD in memory using the `persist` (or `cache`) method, in which case Spark will keep the elements around on the cluster for much faster access the next time you query it. There is also support for persisting datasets on disk, or replicated across the cluster. The next section in this document describes these options.
 
-The following tables list the transformations and actions currently supported (see also the [RDD API doc](api/core/index.html#spark.RDD) for details):
+The following tables list the transformations and actions currently supported (see also the [RDD API doc](api/core/index.html#org.apache.spark.RDD) for details):
 
 ### Transformations
 
@@ -203,7 +211,7 @@ The following tables list the transformations and actions currently supported (s
 </tr>
 </table>
 
-A complete list of transformations is available in the [RDD API doc](api/core/index.html#spark.RDD).
+A complete list of transformations is available in the [RDD API doc](api/core/index.html#org.apache.spark.RDD).
 
 ### Actions
 
@@ -251,7 +259,7 @@ A complete list of transformations is available in the [RDD API doc](api/core/in
 </tr>
 </table>
 
-A complete list of actions is available in the [RDD API doc](api/core/index.html#spark.RDD).
+A complete list of actions is available in the [RDD API doc](api/core/index.html#org.apache.spark.RDD).
 
 ## RDD Persistence
 
@@ -259,7 +267,7 @@ One of the most important capabilities in Spark is *persisting* (or *caching*) a
 
 You can mark an RDD to be persisted using the `persist()` or `cache()` methods on it. The first time it is computed in an action, it will be kept in memory on the nodes. The cache is fault-tolerant -- if any partition of an RDD is lost, it will automatically be recomputed using the transformations that originally created it.
 
-In addition, each RDD can be stored using a different *storage level*, allowing you, for example, to persist the dataset on disk, or persist it in memory but as serialized Java objects (to save space), or even replicate it across nodes. These levels are chosen by passing a [`spark.storage.StorageLevel`](api/core/index.html#spark.storage.StorageLevel) object to `persist()`. The `cache()` method is a shorthand for using the default storage level, which is `StorageLevel.MEMORY_ONLY` (store deserialized objects in memory). The complete set of available storage levels is:
+In addition, each RDD can be stored using a different *storage level*, allowing you, for example, to persist the dataset on disk, or persist it in memory but as serialized Java objects (to save space), or even replicate it across nodes. These levels are chosen by passing a [`org.apache.spark.storage.StorageLevel`](api/core/index.html#org.apache.spark.storage.StorageLevel) object to `persist()`. The `cache()` method is a shorthand for using the default storage level, which is `StorageLevel.MEMORY_ONLY` (store deserialized objects in memory). The complete set of available storage levels is:
 
 <table class="table">
 <tr><th style="width:23%">Storage Level</th><th>Meaning</th></tr>
@@ -310,7 +318,7 @@ We recommend going through the following process to select one:
   application). *All* the storage levels provide full fault tolerance by recomputing lost data, but the replicated ones
   let you continue running tasks on the RDD without waiting to recompute a lost partition.
  
-If you want to define your own storage level (say, with replication factor of 3 instead of 2), then use the function factor method `apply()` of the [`StorageLevel`](api/core/index.html#spark.storage.StorageLevel$) singleton object.  
+If you want to define your own storage level (say, with replication factor of 3 instead of 2), then use the function factor method `apply()` of the [`StorageLevel`](api/core/index.html#org.apache.spark.storage.StorageLevel$) singleton object.  
 
 # Shared Variables
 
@@ -356,7 +364,11 @@ res2: Int = 10
 # Where to Go from Here
 
 You can see some [example Spark programs](http://www.spark-project.org/examples.html) on the Spark website.
-In addition, Spark includes several sample programs in `examples/src/main/scala`. Some of them have both Spark versions and local (non-parallel) versions, allowing you to see what had to be changed to make the program run on a cluster. You can run them using by passing the class name to the `run-example` script included in Spark -- for example, `./run-example spark.examples.SparkPi`. Each example program prints usage help when run without any arguments.
+In addition, Spark includes several samples in `examples/src/main/scala`. Some of them have both Spark versions and local (non-parallel) versions, allowing you to see what had to be changed to make the program run on a cluster. You can run them using by passing the class name to the `run-example` script included in Spark; for example:
+
+    ./run-example org.apache.spark.examples.SparkPi
+
+Each example program prints usage help when run without any arguments.
 
 For help on optimizing your program, the [configuration](configuration.html) and
 [tuning](tuning.html) guides provide information on best practices. They are especially important for
diff --git a/docs/spark-debugger.md b/docs/spark-debugger.md
index f6f0988858..d6315d97f4 100644
--- a/docs/spark-debugger.md
+++ b/docs/spark-debugger.md
@@ -2,7 +2,7 @@
 layout: global
 title: The Spark Debugger
 ---
-**Summary:** The Spark debugger provides replay debugging for deterministic (logic) errors in Spark programs. It's currently in development, but you can try it out in the [arthur branch](https://github.com/mesos/spark/tree/arthur).
+**Summary:** The Spark debugger provides replay debugging for deterministic (logic) errors in Spark programs. It's currently in development, but you can try it out in the [arthur branch](https://github.com/apache/incubator-spark/tree/arthur).
 
 ## Introduction
 
@@ -19,7 +19,7 @@ For deterministic errors, debugging a Spark program is now as easy as debugging
 
 ## Approach
 
-As your Spark program runs, the slaves report key events back to the master -- for example, RDD creations, RDD contents, and uncaught exceptions. (A full list of event types is in [EventLogging.scala](https://github.com/mesos/spark/blob/arthur/core/src/main/scala/spark/EventLogging.scala).) The master logs those events, and you can load the event log into the debugger after your program is done running.
+As your Spark program runs, the slaves report key events back to the master -- for example, RDD creations, RDD contents, and uncaught exceptions. (A full list of event types is in [EventLogging.scala](https://github.com/apache/incubator-spark/blob/arthur/core/src/main/scala/spark/EventLogging.scala).) The master logs those events, and you can load the event log into the debugger after your program is done running.
 
 _A note on nondeterminism:_ For fault recovery, Spark requires RDD transformations (for example, the function passed to `RDD.map`) to be deterministic. The Spark debugger also relies on this property, and it can also warn you if your transformation is nondeterministic. This works by checksumming the contents of each RDD and comparing the checksums from the original execution to the checksums after recomputing the RDD in the debugger.
 
diff --git a/docs/spark-standalone.md b/docs/spark-standalone.md
index bb8be276c5..994a96f2c9 100644
--- a/docs/spark-standalone.md
+++ b/docs/spark-standalone.md
@@ -3,32 +3,21 @@ layout: global
 title: Spark Standalone Mode
 ---
 
-{% comment %}
-TODO(andyk):
-  - Add a table of contents
-  - Move configuration towards the end so that it doesn't come first
-  - Say the scripts will guess the resource amounts (i.e. # cores) automatically
-{% endcomment %}
-
-In addition to running on top of [Mesos](https://github.com/mesos/mesos), Spark also supports a standalone mode, consisting of one Spark master and several Spark worker processes. You can run the Spark standalone mode either locally (for testing) or on a cluster. If you wish to run on a cluster, we have provided [a set of deploy scripts](#cluster-launch-scripts) to launch a whole cluster.
-
-# Getting Started
-
-Compile Spark with `sbt package` as described in the [Getting Started Guide](index.html). You do not need to install Mesos on your machine if you are using the standalone mode.
+In addition to running on the Mesos or YARN cluster managers, Spark also provides a simple standalone deploy mode. You can launch a standalone cluster either manually, by starting a master and workers by hand, or use our provided [deploy scripts](#cluster-launch-scripts). It is also possible to run these daemons on a single machine for testing.
 
 # Starting a Cluster Manually
 
 You can start a standalone master server by executing:
 
-    ./spark-class spark.deploy.master.Master
+    ./spark-class org.apache.spark.deploy.master.Master
 
-Once started, the master will print out a `spark://IP:PORT` URL for itself, which you can use to connect workers to it,
-or pass as the "master" argument to `SparkContext` to connect a job to the cluster. You can also find this URL on
+Once started, the master will print out a `spark://HOST:PORT` URL for itself, which you can use to connect workers to it,
+or pass as the "master" argument to `SparkContext`. You can also find this URL on
 the master's web UI, which is [http://localhost:8080](http://localhost:8080) by default.
 
 Similarly, you can start one or more workers and connect them to the master via:
 
-    ./spark-class spark.deploy.worker.Worker spark://IP:PORT
+    ./spark-class org.apache.spark.deploy.worker.Worker spark://IP:PORT
 
 Once you have started a worker, look at the master's web UI ([http://localhost:8080](http://localhost:8080) by default).
 You should see the new node listed there, along with its number of CPUs and memory (minus one gigabyte left for the OS).
@@ -68,7 +57,7 @@ Finally, the following configuration options can be passed to the master and wor
 
 To launch a Spark standalone cluster with the deploy scripts, you need to create a file called `conf/slaves` in your Spark directory, which should contain the hostnames of all the machines where you would like to start Spark workers, one per line. The master machine must be able to access each of the slave machines via password-less `ssh` (using a private key). For testing, you can just put `localhost` in this file.
 
-Once you've set up this fine, you can launch or stop your cluster with the following shell scripts, based on Hadoop's deploy scripts, and available in `SPARK_HOME/bin`:
+Once you've set up this file, you can launch or stop your cluster with the following shell scripts, based on Hadoop's deploy scripts, and available in `SPARK_HOME/bin`:
 
 - `bin/start-master.sh` - Starts a master instance on the machine the script is executed on.
 - `bin/start-slaves.sh` - Starts a slave instance on each machine specified in the `conf/slaves` file.
@@ -85,47 +74,56 @@ You can optionally configure the cluster further by setting environment variable
   <tr><th style="width:21%">Environment Variable</th><th>Meaning</th></tr>
   <tr>
     <td><code>SPARK_MASTER_IP</code></td>
-    <td>Bind the master to a specific IP address, for example a public one</td>
+    <td>Bind the master to a specific IP address, for example a public one.</td>
   </tr>
   <tr>
     <td><code>SPARK_MASTER_PORT</code></td>
-    <td>Start the master on a different port (default: 7077)</td>
+    <td>Start the master on a different port (default: 7077).</td>
   </tr>
   <tr>
     <td><code>SPARK_MASTER_WEBUI_PORT</code></td>
-    <td>Port for the master web UI (default: 8080)</td>
+    <td>Port for the master web UI (default: 8080).</td>
   </tr>
   <tr>
     <td><code>SPARK_WORKER_PORT</code></td>
-    <td>Start the Spark worker on a specific port (default: random)</td>
+    <td>Start the Spark worker on a specific port (default: random).</td>
   </tr>
   <tr>
     <td><code>SPARK_WORKER_DIR</code></td>
-    <td>Directory to run jobs in, which will include both logs and scratch space (default: SPARK_HOME/work)</td>
+    <td>Directory to run jobs in, which will include both logs and scratch space (default: SPARK_HOME/work).</td>
   </tr>
   <tr>
     <td><code>SPARK_WORKER_CORES</code></td>
-    <td>Total number of cores to allow Spark jobs to use on the machine (default: all available cores)</td>
+    <td>Total number of cores to allow Spark jobs to use on the machine (default: all available cores).</td>
   </tr>
   <tr>
     <td><code>SPARK_WORKER_MEMORY</code></td>
-    <td>Total amount of memory to allow Spark jobs to use on the machine, e.g. 1000M, 2G (default: total memory minus 1 GB); note that each job's <i>individual</i> memory is configured using <code>SPARK_MEM</code></td>
+    <td>Total amount of memory to allow Spark jobs to use on the machine, e.g. <code>1000m</code>, <code>2g</code> (default: total memory minus 1 GB); note that each job's <i>individual</i> memory is configured using its <code>spark.executor.memory</code> property.</td>
   </tr>
   <tr>
     <td><code>SPARK_WORKER_WEBUI_PORT</code></td>
-    <td>Port for the worker web UI (default: 8081)</td>
+    <td>Port for the worker web UI (default: 8081).</td>
+  </tr>
+  <tr>
+    <td><code>SPARK_WORKER_INSTANCES</code></td>
+    <td>
+      Number of worker instances to run on each machine (default: 1). You can make this more than 1 if
+      you have have very large machines and would like multiple Spark worker processes. If you do set
+      this, make sure to also set <code>SPARK_WORKER_CORES</code> explicitly to limit the cores per worker,
+      or else each worker will try to use all the cores.
+    </td>
   </tr>
   <tr>
     <td><code>SPARK_DAEMON_MEMORY</code></td>
-    <td>Memory to allocate to the Spark master and worker daemons themselves (default: 512m)</td>
+    <td>Memory to allocate to the Spark master and worker daemons themselves (default: 512m).</td>
   </tr>
   <tr>
     <td><code>SPARK_DAEMON_JAVA_OPTS</code></td>
-    <td>JVM options for the Spark master and worker daemons themselves (default: none)</td>
+    <td>JVM options for the Spark master and worker daemons themselves (default: none).</td>
   </tr>
 </table>
 
-
+**Note:** The launch scripts do not currently support Windows. To run a Spark cluster on Windows, start the master and workers by hand.
 
 # Connecting a Job to the Cluster
 
@@ -155,5 +153,5 @@ In addition, detailed log output for each job is also written to the work direct
 
 # Running Alongside Hadoop
 
-You can run Spark alongside your existing Hadoop cluster by just launching it as a separate service on the machines. To access Hadoop data from Spark, just use a hdfs:// URL (typically `hdfs://<namenode>:9000/path`, but you can find the right URL on your Hadoop Namenode's web UI). Alternatively, you can set up a separate cluster for Spark, and still have it access HDFS over the network; this will be slower than disk-local access, but may not be a concern if you are still running in the same local area network (e.g. you place a few Spark machines on each rack that you have Hadoop on).
+You can run Spark alongside your existing Hadoop cluster by just launching it as a separate service on the same machines. To access Hadoop data from Spark, just use a hdfs:// URL (typically `hdfs://<namenode>:9000/path`, but you can find the right URL on your Hadoop Namenode's web UI). Alternatively, you can set up a separate cluster for Spark, and still have it access HDFS over the network; this will be slower than disk-local access, but may not be a concern if you are still running in the same local area network (e.g. you place a few Spark machines on each rack that you have Hadoop on).
 
diff --git a/docs/streaming-custom-receivers.md b/docs/streaming-custom-receivers.md
index dfa343bf94..4e27d6559c 100644
--- a/docs/streaming-custom-receivers.md
+++ b/docs/streaming-custom-receivers.md
@@ -1,24 +1,22 @@
 ---
 layout: global
-title: Tutorial - Spark Streaming, Plugging in a custom receiver.
+title: Spark Streaming Custom Receivers
 ---
 
 A "Spark Streaming" receiver can be a simple network stream, streams of messages from a message queue, files etc. A receiver can also assume roles more than just receiving data like filtering, preprocessing, to name a few of the possibilities. The api to plug-in any user defined custom receiver is thus provided to encourage development of receivers which may be well suited to ones specific need.
 
 This guide shows the programming model and features by walking through a simple sample receiver and corresponding Spark Streaming application.
 
-### Write a simple receiver
+### Writing a Simple Receiver
 
-This starts with implementing [NetworkReceiver](#References)
+This starts with implementing [NetworkReceiver](api/streaming/index.html#org.apache.spark.streaming.dstream.NetworkReceiver).
 
-Following is a simple socket text-stream receiver.
+The following is a simple socket text-stream receiver.
 
 {% highlight scala %}
-
-       class SocketTextStreamReceiver(host: String,
-                                      port: Int
-                                       ) extends NetworkReceiver[String] {
-
+       class SocketTextStreamReceiver(host: String, port: Int(
+         extends NetworkReceiver[String]
+       {
          protected lazy val blocksGenerator: BlockGenerator =
            new BlockGenerator(StorageLevel.MEMORY_ONLY_SER_2)
 
@@ -36,23 +34,20 @@ Following is a simple socket text-stream receiver.
          protected def onStop() {
            blocksGenerator.stop()
          }
-
        }
-
 {% endhighlight %}
 
 
 All we did here is extended NetworkReceiver and called blockGenerator's API method (i.e. +=) to push our blocks of data. Please refer to scala-docs of NetworkReceiver for more details.
 
 
-### An Actor as Receiver.
+### An Actor as Receiver
 
 This starts with implementing [Actor](#References)
 
 Following is a simple socket text-stream receiver, which is appearently overly simplified using Akka's socket.io api.
 
 {% highlight scala %}
-
        class SocketTextStreamReceiver (host:String,
          port:Int,
          bytesToString: ByteString => String) extends Actor with Receiver {
@@ -64,52 +59,41 @@ Following is a simple socket text-stream receiver, which is appearently overly s
          }
 
        }
-
-
 {% endhighlight %}
 
 All we did here is mixed in trait Receiver and called pushBlock api method to push our blocks of data. Please refer to scala-docs of Receiver for more details.
 
-### A sample spark application
+### A Sample Spark Application
 
 * First create a Spark streaming context with master url and batchduration.
 
 {% highlight scala %}
-
     val ssc = new StreamingContext(master, "WordCountCustomStreamSource",
       Seconds(batchDuration))
-
 {% endhighlight %}
 
 * Plug-in the custom receiver into the spark streaming context and create a DStream.
 
 {% highlight scala %}
-
     val lines = ssc.networkStream[String](new SocketTextStreamReceiver(
       "localhost", 8445))
-
 {% endhighlight %}
 
 * OR Plug-in the actor as receiver into the spark streaming context and create a DStream.
 
 {% highlight scala %}
-
     val lines = ssc.actorStream[String](Props(new SocketTextStreamReceiver(
       "localhost",8445, z => z.utf8String)),"SocketReceiver")
-
 {% endhighlight %}
 
 * Process it.
 
 {% highlight scala %}
-
     val words = lines.flatMap(_.split(" "))
     val wordCounts = words.map(x => (x, 1)).reduceByKey(_ + _)
 
     wordCounts.print()
     ssc.start()
-
-
 {% endhighlight %}
 
 * After processing it, stream can be tested using the netcat utility.
@@ -119,12 +103,11 @@ All we did here is mixed in trait Receiver and called pushBlock api method to pu
      hello hello
 
 
-## Multiple homogeneous/heterogeneous receivers.
+## Multiple Homogeneous/Heterogeneous Receivers.
 
 A DStream union operation is provided for taking union on multiple input streams.
 
 {% highlight scala %}
-
     val lines = ssc.actorStream[String](Props(new SocketTextStreamReceiver(
       "localhost",8445, z => z.utf8String)),"SocketReceiver")
 
@@ -133,7 +116,6 @@ A DStream union operation is provided for taking union on multiple input streams
       "localhost",8446, z => z.utf8String)),"SocketReceiver")
 
     val union = lines.union(lines2)
-
 {% endhighlight %}
 
 Above stream can be easily process as described earlier.
@@ -143,4 +125,4 @@ _A more comprehensive example is provided in the spark streaming examples_
 ## References
 
 1.[Akka Actor documentation](http://doc.akka.io/docs/akka/2.0.5/scala/actors.html)
-2.[NetworkReceiver](http://spark-project.org/docs/latest/api/streaming/index.html#spark.streaming.dstream.NetworkReceiver)
+2.[NetworkReceiver](api/streaming/index.html#org.apache.spark.streaming.dstream.NetworkReceiver)
diff --git a/docs/streaming-programming-guide.md b/docs/streaming-programming-guide.md
index 3330e63598..c7df172024 100644
--- a/docs/streaming-programming-guide.md
+++ b/docs/streaming-programming-guide.md
@@ -13,6 +13,14 @@ A Spark Streaming application is very similar to a Spark application; it consist
 
 This guide shows some how to start programming with DStreams. 
 
+# Linking with Spark Streaming
+
+Add the following SBT or Maven dependency to your project to use Spark Streaming:
+
+    groupId = org.apache.spark
+    artifactId = spark-streaming_{{site.SCALA_VERSION}}
+    version = {{site.SPARK_VERSION}}
+
 # Initializing Spark Streaming
 The first thing a Spark Streaming program must do is create a `StreamingContext` object, which tells Spark how to access a cluster. A `StreamingContext` can be created by using
 
@@ -34,7 +42,7 @@ ssc.textFileStream(directory)      // Creates a stream by monitoring and process
 ssc.socketStream(hostname, port)   // Creates a stream that uses a TCP socket to read data from hostname:port
 {% endhighlight %}
 
-We also provide a input streams for Kafka, Flume, Akka actor, etc. For a complete list of input streams, take a look at the [StreamingContext API documentation](api/streaming/index.html#spark.streaming.StreamingContext).
+We also provide a input streams for Kafka, Flume, Akka actor, etc. For a complete list of input streams, take a look at the [StreamingContext API documentation](api/streaming/index.html#org.apache.spark.streaming.StreamingContext).
 
 
 
@@ -156,7 +164,7 @@ Spark Streaming features windowed computations, which allow you to apply transfo
 
 </table>
 
-A complete list of DStream operations is available in the API documentation of [DStream](api/streaming/index.html#spark.streaming.DStream) and [PairDStreamFunctions](api/streaming/index.html#spark.streaming.PairDStreamFunctions).
+A complete list of DStream operations is available in the API documentation of [DStream](api/streaming/index.html#org.apache.spark.streaming.DStream) and [PairDStreamFunctions](api/streaming/index.html#org.apache.spark.streaming.PairDStreamFunctions).
 
 ## Output Operations
 When an output operator is called, it triggers the computation of a stream. Currently the following output operators are defined:
@@ -203,11 +211,11 @@ ssc.stop()
 {% endhighlight %}
 
 # Example
-A simple example to start off is the [NetworkWordCount](https://github.com/mesos/spark/tree/master/examples/src/main/scala/spark/streaming/examples/NetworkWordCount.scala). This example counts the words received from a network server every second. Given below is the relevant sections of the source code. You can find the full source code in `<Spark repo>/streaming/src/main/scala/spark/streaming/examples/NetworkWordCount.scala` .
+A simple example to start off is the [NetworkWordCount](https://github.com/apache/incubator-spark/tree/master/examples/src/main/scala/spark/streaming/examples/NetworkWordCount.scala). This example counts the words received from a network server every second. Given below is the relevant sections of the source code. You can find the full source code in `<Spark repo>/streaming/src/main/scala/spark/streaming/examples/NetworkWordCount.scala` .
 
 {% highlight scala %}
-import spark.streaming.{Seconds, StreamingContext}
-import spark.streaming.StreamingContext._
+import org.apache.spark.streaming.{Seconds, StreamingContext}
+import StreamingContext._
 ...
 
 // Create the context and set up a network input stream to receive from a host:port
@@ -234,7 +242,7 @@ $ nc -lk 9999
 Then, in a different terminal, you can start NetworkWordCount by using
 
 {% highlight bash %}
-$ ./run-example spark.streaming.examples.NetworkWordCount local[2] localhost 9999
+$ ./run-example org.apache.spark.streaming.examples.NetworkWordCount local[2] localhost 9999
 {% endhighlight %}
 
 This will make NetworkWordCount connect to the netcat server. Any lines typed in the terminal running the netcat server will be counted and printed on screen.
@@ -272,7 +280,7 @@ Time: 1357008430000 ms
 </td>
 </table>
 
-You can find more examples in `<Spark repo>/streaming/src/main/scala/spark/streaming/examples/`. They can be run in the similar manner using `./run-example spark.streaming.examples....` . Executing without any parameter would give the required parameter list. Further explanation to run them can be found in comments in the files.
+You can find more examples in `<Spark repo>/streaming/src/main/scala/spark/streaming/examples/`. They can be run in the similar manner using `./run-example org.apache.spark.streaming.examples....` . Executing without any parameter would give the required parameter list. Further explanation to run them can be found in comments in the files.
 
 # DStream Persistence
 Similar to RDDs, DStreams also allow developers to persist the stream's data in memory. That is, using `persist()` method on a DStream would automatically persist every RDD of that DStream in memory. This is useful if the data in the DStream will be computed multiple times (e.g., multiple operations on the same data). For window-based operations like `reduceByWindow` and `reduceByKeyAndWindow` and state-based operations like `updateStateByKey`, this is implicitly true. Hence, DStreams generated by window-based operations are automatically persisted in memory, without the developer calling `persist()`.
@@ -301,8 +309,8 @@ dstream.checkpoint(checkpointInterval) // checkpointInterval must be a multiple
 For DStreams that must be checkpointed (that is, DStreams created by `updateStateByKey` and `reduceByKeyAndWindow` with inverse function), the checkpoint interval of the DStream is by default set to a multiple of the DStream's sliding interval such that its at least 10 seconds.
 
 
-## Customizing Receiver
-Spark comes with a built in support for most common usage scenarios where input stream source can be either a network socket stream to support for a few message queues. Apart from that it is also possible to supply your own custom receiver via a convenient API. Find more details at [Custom Receiver Guide](streaming-custom-receivers.html)
+## Custom Receivers
+Spark comes with a built in support for most common usage scenarios where input stream source can be either a network socket stream to support for a few message queues. Apart from that it is also possible to supply your own custom receiver via a convenient API. Find more details at [Custom Receiver Guide](streaming-custom-receivers.html).
 
 # Performance Tuning
 Getting the best performance of a Spark Streaming application on a cluster requires a bit of tuning. This section explains a number of the parameters and configurations that can tuned to improve the performance of you application. At a high level, you need to consider two things:
@@ -315,7 +323,7 @@ Getting the best performance of a Spark Streaming application on a cluster requi
 There are a number of optimizations that can be done in Spark to minimize the processing time of each batch. These have been discussed in detail in [Tuning Guide](tuning.html). This section highlights some of the most important ones.
 
 ### Level of Parallelism
-Cluster resources maybe under-utilized if the number of parallel tasks used in any stage of the computation is not high enough. For example, for distributed reduce operations like `reduceByKey` and `reduceByKeyAndWindow`, the default number of parallel tasks is 8. You can pass the level of parallelism as an argument (see the [`spark.PairDStreamFunctions`](api/streaming/index.html#spark.PairDStreamFunctions) documentation), or set the system property `spark.default.parallelism` to change the default.
+Cluster resources maybe under-utilized if the number of parallel tasks used in any stage of the computation is not high enough. For example, for distributed reduce operations like `reduceByKey` and `reduceByKeyAndWindow`, the default number of parallel tasks is 8. You can pass the level of parallelism as an argument (see the [`PairDStreamFunctions`](api/streaming/index.html#org.apache.spark.PairDStreamFunctions) documentation), or set the system property `spark.default.parallelism` to change the default.
 
 ### Data Serialization
 The overhead of data serialization can be significant, especially when sub-second batch sizes are to be achieved. There are two aspects to it.
@@ -345,7 +353,7 @@ This value is closely tied with any window operation that is being used. Any win
 ## Memory Tuning
 Tuning the memory usage and GC behavior of Spark applications have been discussed in great detail in the [Tuning Guide](tuning.html). It is recommended that you read that. In this section, we highlight a few customizations that are strongly recommended to minimize GC related pauses in Spark Streaming applications and achieving more consistent batch processing times.
 
-* **Default persistence level of DStreams**: Unlike RDDs, the default persistence level of DStreams serializes the data in memory (that is, [StorageLevel.MEMORY_ONLY_SER](api/core/index.html#spark.storage.StorageLevel$) for DStream compared to [StorageLevel.MEMORY_ONLY](api/core/index.html#spark.storage.StorageLevel$) for RDDs). Even though keeping the data serialized incurs a higher serialization overheads, it significantly reduces GC pauses.
+* **Default persistence level of DStreams**: Unlike RDDs, the default persistence level of DStreams serializes the data in memory (that is, [StorageLevel.MEMORY_ONLY_SER](api/core/index.html#org.apache.spark.storage.StorageLevel$) for DStream compared to [StorageLevel.MEMORY_ONLY](api/core/index.html#org.apache.spark.storage.StorageLevel$) for RDDs). Even though keeping the data serialized incurs a higher serialization overheads, it significantly reduces GC pauses.
 
 * **Concurrent garbage collector**: Using the concurrent mark-and-sweep GC further minimizes the variability of GC pauses. Even though concurrent GC is known to reduce the overall processing throughput of the system, its use is still recommended to achieve more consistent batch processing times.
 
@@ -467,10 +475,10 @@ If the driver had crashed in the middle of the processing of time 3, then it wil
 
 # Java API
 
-Similar to [Spark's Java API](java-programming-guide.html), we also provide a Java API for Spark Streaming which allows all its features to be accessible from a Java program. This is defined in [spark.streaming.api.java] (api/streaming/index.html#spark.streaming.api.java.package) package and includes [JavaStreamingContext](api/streaming/index.html#spark.streaming.api.java.JavaStreamingContext) and [JavaDStream](api/streaming/index.html#spark.streaming.api.java.JavaDStream) classes that provide the same methods as their Scala counterparts, but take Java functions (that is, Function, and Function2) and return Java data and collection types. Some of the key points to note are:
+Similar to [Spark's Java API](java-programming-guide.html), we also provide a Java API for Spark Streaming which allows all its features to be accessible from a Java program. This is defined in [org.apache.spark.streaming.api.java] (api/streaming/index.html#org.apache.spark.streaming.api.java.package) package and includes [JavaStreamingContext](api/streaming/index.html#org.apache.spark.streaming.api.java.JavaStreamingContext) and [JavaDStream](api/streaming/index.html#org.apache.spark.streaming.api.java.JavaDStream) classes that provide the same methods as their Scala counterparts, but take Java functions (that is, Function, and Function2) and return Java data and collection types. Some of the key points to note are:
 
-1. Functions for transformations must be implemented as subclasses of [Function](api/core/index.html#spark.api.java.function.Function) and [Function2](api/core/index.html#spark.api.java.function.Function2)
-1. Unlike the Scala API, the Java API handles DStreams for key-value pairs using a separate [JavaPairDStream](api/streaming/index.html#spark.streaming.api.java.JavaPairDStream) class(similar to [JavaRDD and JavaPairRDD](java-programming-guide.html#rdd-classes). DStream functions like `map` and `filter` are implemented separately by JavaDStreams and JavaPairDStream to return DStreams of appropriate types.
+1. Functions for transformations must be implemented as subclasses of [Function](api/core/index.html#org.apache.spark.api.java.function.Function) and [Function2](api/core/index.html#org.apache.spark.api.java.function.Function2)
+1. Unlike the Scala API, the Java API handles DStreams for key-value pairs using a separate [JavaPairDStream](api/streaming/index.html#org.apache.spark.streaming.api.java.JavaPairDStream) class(similar to [JavaRDD and JavaPairRDD](java-programming-guide.html#rdd-classes). DStream functions like `map` and `filter` are implemented separately by JavaDStreams and JavaPairDStream to return DStreams of appropriate types.
 
 Spark's [Java Programming Guide](java-programming-guide.html) gives more ideas about using the Java API. To extends the ideas presented for the RDDs to DStreams, we present parts of the Java version of the same NetworkWordCount example presented above. The full source code is given at `<spark repo>/examples/src/main/java/spark/streaming/examples/JavaNetworkWordCount.java`
 
@@ -482,7 +490,7 @@ JavaDStream<String> lines = ssc.socketTextStream(ip, port);
 {% endhighlight %}
 
 
-Then the `lines` are split into words by using the `flatMap` function and [FlatMapFunction](api/core/index.html#spark.api.java.function.FlatMapFunction).
+Then the `lines` are split into words by using the `flatMap` function and [FlatMapFunction](api/core/index.html#org.apache.spark.api.java.function.FlatMapFunction).
 
 {% highlight java %}
 JavaDStream<String> words = lines.flatMap(
@@ -494,7 +502,7 @@ JavaDStream<String> words = lines.flatMap(
   });
 {% endhighlight %}
 
-The `words` is then mapped to a [JavaPairDStream](api/streaming/index.html#spark.streaming.api.java.JavaPairDStream) of `(word, 1)` pairs using `map` and [PairFunction](api/core/index.html#spark.api.java.function.PairFunction). This is  reduced by using `reduceByKey` and [Function2](api/core/index.html#spark.api.java.function.Function2).
+The `words` is then mapped to a [JavaPairDStream](api/streaming/index.html#org.apache.spark.streaming.api.java.JavaPairDStream) of `(word, 1)` pairs using `map` and [PairFunction](api/core/index.html#org.apache.spark.api.java.function.PairFunction). This is  reduced by using `reduceByKey` and [Function2](api/core/index.html#org.apache.spark.api.java.function.Function2).
 
 {% highlight java %}
 JavaPairDStream<String, Integer> wordCounts = words.map(
@@ -513,8 +521,8 @@ JavaPairDStream<String, Integer> wordCounts = words.map(
 {% endhighlight %}
 
 
-
 # Where to Go from Here
-* API docs - [Scala](api/streaming/index.html#spark.streaming.package) and [Java](api/streaming/index.html#spark.streaming.api.java.package)
-* More examples - [Scala](https://github.com/mesos/spark/tree/master/examples/src/main/scala/spark/streaming/examples) and [Java](https://github.com/mesos/spark/tree/master/examples/src/main/java/spark/streaming/examples)
+
+* API docs - [Scala](api/streaming/index.html#org.apache.spark.streaming.package) and [Java](api/streaming/index.html#org.apache.spark.streaming.api.java.package)
+* More examples - [Scala](https://github.com/apache/incubator-spark/tree/master/examples/src/main/scala/spark/streaming/examples) and [Java](https://github.com/apache/incubator-spark/tree/master/examples/src/main/java/spark/streaming/examples)
 * [Paper describing Spark Streaming](http://www.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-259.pdf)
diff --git a/docs/tuning.md b/docs/tuning.md
index 5ffca54481..28d88a2659 100644
--- a/docs/tuning.md
+++ b/docs/tuning.md
@@ -32,24 +32,25 @@ in your operations) and performance. It provides two serialization libraries:
   [`java.io.Externalizable`](http://docs.oracle.com/javase/6/docs/api/java/io/Externalizable.html).
   Java serialization is flexible but often quite slow, and leads to large
   serialized formats for many classes.
-* [Kryo serialization](http://code.google.com/p/kryo/wiki/V1Documentation): Spark can also use
+* [Kryo serialization](http://code.google.com/p/kryo/): Spark can also use
   the Kryo library (version 2) to serialize objects more quickly. Kryo is significantly
   faster and more compact than Java serialization (often as much as 10x), but does not support all
   `Serializable` types and requires you to *register* the classes you'll use in the program in advance
   for best performance.
 
-You can switch to using Kryo by calling `System.setProperty("spark.serializer", "spark.KryoSerializer")`
+You can switch to using Kryo by calling `System.setProperty("spark.serializer", "org.apache.spark.serializer.KryoSerializer")`
 *before* creating your SparkContext. The only reason it is not the default is because of the custom
 registration requirement, but we recommend trying it in any network-intensive application.
 
 Finally, to register your classes with Kryo, create a public class that extends
-[`spark.KryoRegistrator`](api/core/index.html#spark.KryoRegistrator) and set the
+[`org.apache.spark.serializer.KryoRegistrator`](api/core/index.html#org.apache.spark.serializer.KryoRegistrator) and set the
 `spark.kryo.registrator` system property to point to it, as follows:
 
 {% highlight scala %}
 import com.esotericsoftware.kryo.Kryo
+import org.apache.spark.serializer.KryoRegistrator
 
-class MyRegistrator extends spark.KryoRegistrator {
+class MyRegistrator extends KryoRegistrator {
   override def registerClasses(kryo: Kryo) {
     kryo.register(classOf[MyClass1])
     kryo.register(classOf[MyClass2])
@@ -57,7 +58,7 @@ class MyRegistrator extends spark.KryoRegistrator {
 }
 
 // Make sure to set these properties *before* creating a SparkContext!
-System.setProperty("spark.serializer", "spark.KryoSerializer")
+System.setProperty("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
 System.setProperty("spark.kryo.registrator", "mypackage.MyRegistrator")
 val sc = new SparkContext(...)
 {% endhighlight %}
@@ -216,7 +217,7 @@ enough. Spark automatically sets the number of "map" tasks to run on each file a
 (though you can control it through optional parameters to `SparkContext.textFile`, etc), and for
 distributed "reduce" operations, such as `groupByKey` and `reduceByKey`, it uses the largest
 parent RDD's number of partitions. You can pass the level of parallelism as a second argument
-(see the [`spark.PairRDDFunctions`](api/core/index.html#spark.PairRDDFunctions) documentation),
+(see the [`spark.PairRDDFunctions`](api/core/index.html#org.apache.spark.rdd.PairRDDFunctions) documentation),
 or set the system property `spark.default.parallelism` to change the default.
 In general, we recommend 2-3 tasks per CPU core in your cluster.
 
diff --git a/examples/pom.xml b/examples/pom.xml
index 687fbcca8f..224cf6c96c 100644
--- a/examples/pom.xml
+++ b/examples/pom.xml
@@ -19,39 +19,39 @@
 <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
   <modelVersion>4.0.0</modelVersion>
   <parent>
-    <groupId>org.spark-project</groupId>
+    <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent</artifactId>
     <version>0.8.0-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
-  <groupId>org.spark-project</groupId>
+  <groupId>org.apache.spark</groupId>
   <artifactId>spark-examples</artifactId>
   <packaging>jar</packaging>
   <name>Spark Project Examples</name>
-  <url>http://spark-project.org/</url>
+  <url>http://spark.incubator.apache.org/</url>
 
   <dependencies>
     <dependency>
-      <groupId>org.spark-project</groupId>
+      <groupId>org.apache.spark</groupId>
       <artifactId>spark-core</artifactId>
       <version>${project.version}</version>
       <scope>provided</scope>
     </dependency>
     <dependency>
-      <groupId>org.spark-project</groupId>
+      <groupId>org.apache.spark</groupId>
       <artifactId>spark-streaming</artifactId>
       <version>${project.version}</version>
       <scope>provided</scope>
     </dependency>
     <dependency>
-      <groupId>org.spark-project</groupId>
+      <groupId>org.apache.spark</groupId>
       <artifactId>spark-mllib</artifactId>
       <version>${project.version}</version>
       <scope>provided</scope>
     </dependency>
     <dependency>
-      <groupId>org.spark-project</groupId>
+      <groupId>org.apache.spark</groupId>
       <artifactId>spark-bagel</artifactId>
       <version>${project.version}</version>
       <scope>provided</scope>
@@ -132,7 +132,7 @@
       <id>hadoop2-yarn</id>
       <dependencies>
         <dependency>
-          <groupId>org.spark-project</groupId>
+          <groupId>org.apache.spark</groupId>
           <artifactId>spark-yarn</artifactId>
           <version>${project.version}</version>
           <scope>provided</scope>
diff --git a/examples/src/main/java/spark/examples/JavaHdfsLR.java b/examples/src/main/java/org/apache/spark/examples/JavaHdfsLR.java
index 9485e0cfa9..be0d38589c 100644
--- a/examples/src/main/java/spark/examples/JavaHdfsLR.java
+++ b/examples/src/main/java/org/apache/spark/examples/JavaHdfsLR.java
@@ -15,12 +15,12 @@
  * limitations under the License.
  */
 
-package spark.examples;
+package org.apache.spark.examples;
 
-import spark.api.java.JavaRDD;
-import spark.api.java.JavaSparkContext;
-import spark.api.java.function.Function;
-import spark.api.java.function.Function2;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.function.Function;
+import org.apache.spark.api.java.function.Function2;
 
 import java.io.Serializable;
 import java.util.Arrays;
diff --git a/examples/src/main/java/spark/examples/JavaKMeans.java b/examples/src/main/java/org/apache/spark/examples/JavaKMeans.java
index 2d34776177..5a6afe7eae 100644
--- a/examples/src/main/java/spark/examples/JavaKMeans.java
+++ b/examples/src/main/java/org/apache/spark/examples/JavaKMeans.java
@@ -15,15 +15,15 @@
  * limitations under the License.
  */
 
-package spark.examples;
+package org.apache.spark.examples;
 
 import scala.Tuple2;
-import spark.api.java.JavaPairRDD;
-import spark.api.java.JavaRDD;
-import spark.api.java.JavaSparkContext;
-import spark.api.java.function.Function;
-import spark.api.java.function.PairFunction;
-import spark.util.Vector;
+import org.apache.spark.api.java.JavaPairRDD;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.function.Function;
+import org.apache.spark.api.java.function.PairFunction;
+import org.apache.spark.util.Vector;
 
 import java.util.List;
 import java.util.Map;
diff --git a/examples/src/main/java/spark/examples/JavaLogQuery.java b/examples/src/main/java/org/apache/spark/examples/JavaLogQuery.java
index d22684d980..152f029213 100644
--- a/examples/src/main/java/spark/examples/JavaLogQuery.java
+++ b/examples/src/main/java/org/apache/spark/examples/JavaLogQuery.java
@@ -15,16 +15,16 @@
  * limitations under the License.
  */
 
-package spark.examples;
+package org.apache.spark.examples;
 
 import com.google.common.collect.Lists;
 import scala.Tuple2;
 import scala.Tuple3;
-import spark.api.java.JavaPairRDD;
-import spark.api.java.JavaRDD;
-import spark.api.java.JavaSparkContext;
-import spark.api.java.function.Function2;
-import spark.api.java.function.PairFunction;
+import org.apache.spark.api.java.JavaPairRDD;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.function.Function2;
+import org.apache.spark.api.java.function.PairFunction;
 
 import java.io.Serializable;
 import java.util.Collections;
diff --git a/examples/src/main/java/spark/examples/JavaPageRank.java b/examples/src/main/java/org/apache/spark/examples/JavaPageRank.java
index 75df1af2e3..c5603a639b 100644
--- a/examples/src/main/java/spark/examples/JavaPageRank.java
+++ b/examples/src/main/java/org/apache/spark/examples/JavaPageRank.java
@@ -15,17 +15,17 @@
  * limitations under the License.
  */
 
-package spark.examples;
+package org.apache.spark.examples;
 
 import scala.Tuple2;
-import spark.api.java.JavaPairRDD;
-import spark.api.java.JavaRDD;
-import spark.api.java.JavaSparkContext;
-import spark.api.java.function.FlatMapFunction;
-import spark.api.java.function.Function;
-import spark.api.java.function.Function2;
-import spark.api.java.function.PairFlatMapFunction;
-import spark.api.java.function.PairFunction;
+import org.apache.spark.api.java.JavaPairRDD;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.function.FlatMapFunction;
+import org.apache.spark.api.java.function.Function;
+import org.apache.spark.api.java.function.Function2;
+import org.apache.spark.api.java.function.PairFlatMapFunction;
+import org.apache.spark.api.java.function.PairFunction;
 
 import java.util.List;
 import java.util.ArrayList;
diff --git a/examples/src/main/java/spark/examples/JavaSparkPi.java b/examples/src/main/java/org/apache/spark/examples/JavaSparkPi.java
index d5f42fbb38..4a2380caf5 100644
--- a/examples/src/main/java/spark/examples/JavaSparkPi.java
+++ b/examples/src/main/java/org/apache/spark/examples/JavaSparkPi.java
@@ -15,12 +15,12 @@
  * limitations under the License.
  */
 
-package spark.examples;
+package org.apache.spark.examples;
 
-import spark.api.java.JavaRDD;
-import spark.api.java.JavaSparkContext;
-import spark.api.java.function.Function;
-import spark.api.java.function.Function2;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.function.Function;
+import org.apache.spark.api.java.function.Function2;
 
 import java.util.ArrayList;
 import java.util.List;
diff --git a/examples/src/main/java/spark/examples/JavaTC.java b/examples/src/main/java/org/apache/spark/examples/JavaTC.java
index 559d7f9e53..17f21f6b77 100644
--- a/examples/src/main/java/spark/examples/JavaTC.java
+++ b/examples/src/main/java/org/apache/spark/examples/JavaTC.java
@@ -15,12 +15,12 @@
  * limitations under the License.
  */
 
-package spark.examples;
+package org.apache.spark.examples;
 
 import scala.Tuple2;
-import spark.api.java.JavaPairRDD;
-import spark.api.java.JavaSparkContext;
-import spark.api.java.function.PairFunction;
+import org.apache.spark.api.java.JavaPairRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.function.PairFunction;
 
 import java.util.ArrayList;
 import java.util.HashSet;
diff --git a/examples/src/main/java/spark/examples/JavaWordCount.java b/examples/src/main/java/org/apache/spark/examples/JavaWordCount.java
index 1af370c1c3..07d32ad659 100644
--- a/examples/src/main/java/spark/examples/JavaWordCount.java
+++ b/examples/src/main/java/org/apache/spark/examples/JavaWordCount.java
@@ -15,15 +15,15 @@
  * limitations under the License.
  */
 
-package spark.examples;
+package org.apache.spark.examples;
 
 import scala.Tuple2;
-import spark.api.java.JavaPairRDD;
-import spark.api.java.JavaRDD;
-import spark.api.java.JavaSparkContext;
-import spark.api.java.function.FlatMapFunction;
-import spark.api.java.function.Function2;
-import spark.api.java.function.PairFunction;
+import org.apache.spark.api.java.JavaPairRDD;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.function.FlatMapFunction;
+import org.apache.spark.api.java.function.Function2;
+import org.apache.spark.api.java.function.PairFunction;
 
 import java.util.Arrays;
 import java.util.List;
diff --git a/examples/src/main/java/spark/mllib/examples/JavaALS.java b/examples/src/main/java/org/apache/spark/mllib/examples/JavaALS.java
index b48f459cb7..628cb892b6 100644
--- a/examples/src/main/java/spark/mllib/examples/JavaALS.java
+++ b/examples/src/main/java/org/apache/spark/mllib/examples/JavaALS.java
@@ -15,15 +15,15 @@
  * limitations under the License.
  */
 
-package spark.mllib.examples;
+package org.apache.spark.mllib.examples;
 
-import spark.api.java.JavaRDD;
-import spark.api.java.JavaSparkContext;
-import spark.api.java.function.Function;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.function.Function;
 
-import spark.mllib.recommendation.ALS;
-import spark.mllib.recommendation.MatrixFactorizationModel;
-import spark.mllib.recommendation.Rating;
+import org.apache.spark.mllib.recommendation.ALS;
+import org.apache.spark.mllib.recommendation.MatrixFactorizationModel;
+import org.apache.spark.mllib.recommendation.Rating;
 
 import java.io.Serializable;
 import java.util.Arrays;
diff --git a/examples/src/main/java/spark/mllib/examples/JavaKMeans.java b/examples/src/main/java/org/apache/spark/mllib/examples/JavaKMeans.java
index 02f40438b8..cd59a139b9 100644
--- a/examples/src/main/java/spark/mllib/examples/JavaKMeans.java
+++ b/examples/src/main/java/org/apache/spark/mllib/examples/JavaKMeans.java
@@ -15,14 +15,14 @@
  * limitations under the License.
  */
 
-package spark.mllib.examples;
+package org.apache.spark.mllib.examples;
 
-import spark.api.java.JavaRDD;
-import spark.api.java.JavaSparkContext;
-import spark.api.java.function.Function;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.function.Function;
 
-import spark.mllib.clustering.KMeans;
-import spark.mllib.clustering.KMeansModel;
+import org.apache.spark.mllib.clustering.KMeans;
+import org.apache.spark.mllib.clustering.KMeansModel;
 
 import java.util.Arrays;
 import java.util.StringTokenizer;
diff --git a/examples/src/main/java/spark/mllib/examples/JavaLR.java b/examples/src/main/java/org/apache/spark/mllib/examples/JavaLR.java
index bf4aeaf40f..258061c8e6 100644
--- a/examples/src/main/java/spark/mllib/examples/JavaLR.java
+++ b/examples/src/main/java/org/apache/spark/mllib/examples/JavaLR.java
@@ -15,16 +15,16 @@
  * limitations under the License.
  */
 
-package spark.mllib.examples;
+package org.apache.spark.mllib.examples;
 
 
-import spark.api.java.JavaRDD;
-import spark.api.java.JavaSparkContext;
-import spark.api.java.function.Function;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.function.Function;
 
-import spark.mllib.classification.LogisticRegressionWithSGD;
-import spark.mllib.classification.LogisticRegressionModel;
-import spark.mllib.regression.LabeledPoint;
+import org.apache.spark.mllib.classification.LogisticRegressionWithSGD;
+import org.apache.spark.mllib.classification.LogisticRegressionModel;
+import org.apache.spark.mllib.regression.LabeledPoint;
 
 import java.util.Arrays;
 import java.util.StringTokenizer;
diff --git a/examples/src/main/java/spark/streaming/examples/JavaFlumeEventCount.java b/examples/src/main/java/org/apache/spark/streaming/examples/JavaFlumeEventCount.java
index 096a9ae219..261813bf2f 100644
--- a/examples/src/main/java/spark/streaming/examples/JavaFlumeEventCount.java
+++ b/examples/src/main/java/org/apache/spark/streaming/examples/JavaFlumeEventCount.java
@@ -15,12 +15,12 @@
  * limitations under the License.
  */
 
-package spark.streaming.examples;
+package org.apache.spark.streaming.examples;
 
-import spark.api.java.function.Function;
-import spark.streaming.*;
-import spark.streaming.api.java.*;
-import spark.streaming.dstream.SparkFlumeEvent;
+import org.apache.spark.api.java.function.Function;
+import org.apache.spark.streaming.*;
+import org.apache.spark.streaming.api.java.*;
+import org.apache.spark.streaming.dstream.SparkFlumeEvent;
 
 /**
  *  Produces a count of events received from Flume.
diff --git a/examples/src/main/java/spark/streaming/examples/JavaNetworkWordCount.java b/examples/src/main/java/org/apache/spark/streaming/examples/JavaNetworkWordCount.java
index c54d3f3d59..def87c199b 100644
--- a/examples/src/main/java/spark/streaming/examples/JavaNetworkWordCount.java
+++ b/examples/src/main/java/org/apache/spark/streaming/examples/JavaNetworkWordCount.java
@@ -15,17 +15,17 @@
  * limitations under the License.
  */
 
-package spark.streaming.examples;
+package org.apache.spark.streaming.examples;
 
 import com.google.common.collect.Lists;
 import scala.Tuple2;
-import spark.api.java.function.FlatMapFunction;
-import spark.api.java.function.Function2;
-import spark.api.java.function.PairFunction;
-import spark.streaming.Duration;
-import spark.streaming.api.java.JavaDStream;
-import spark.streaming.api.java.JavaPairDStream;
-import spark.streaming.api.java.JavaStreamingContext;
+import org.apache.spark.api.java.function.FlatMapFunction;
+import org.apache.spark.api.java.function.Function2;
+import org.apache.spark.api.java.function.PairFunction;
+import org.apache.spark.streaming.Duration;
+import org.apache.spark.streaming.api.java.JavaDStream;
+import org.apache.spark.streaming.api.java.JavaPairDStream;
+import org.apache.spark.streaming.api.java.JavaStreamingContext;
 
 /**
  * Counts words in UTF8 encoded, '\n' delimited text received from the network every second.
diff --git a/examples/src/main/java/spark/streaming/examples/JavaQueueStream.java b/examples/src/main/java/org/apache/spark/streaming/examples/JavaQueueStream.java
index 1f4a991542..c8c7389dd1 100644
--- a/examples/src/main/java/spark/streaming/examples/JavaQueueStream.java
+++ b/examples/src/main/java/org/apache/spark/streaming/examples/JavaQueueStream.java
@@ -15,17 +15,17 @@
  * limitations under the License.
  */
 
-package spark.streaming.examples;
+package org.apache.spark.streaming.examples;
 
 import com.google.common.collect.Lists;
 import scala.Tuple2;
-import spark.api.java.JavaRDD;
-import spark.api.java.function.Function2;
-import spark.api.java.function.PairFunction;
-import spark.streaming.Duration;
-import spark.streaming.api.java.JavaDStream;
-import spark.streaming.api.java.JavaPairDStream;
-import spark.streaming.api.java.JavaStreamingContext;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.function.Function2;
+import org.apache.spark.api.java.function.PairFunction;
+import org.apache.spark.streaming.Duration;
+import org.apache.spark.streaming.api.java.JavaDStream;
+import org.apache.spark.streaming.api.java.JavaPairDStream;
+import org.apache.spark.streaming.api.java.JavaStreamingContext;
 
 import java.util.LinkedList;
 import java.util.List;
diff --git a/examples/src/main/scala/spark/examples/BroadcastTest.scala b/examples/src/main/scala/org/apache/spark/examples/BroadcastTest.scala
index 911490cb6c..868ff81f67 100644
--- a/examples/src/main/scala/spark/examples/BroadcastTest.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/BroadcastTest.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.examples
+package org.apache.spark.examples
 
-import spark.SparkContext
+import org.apache.spark.SparkContext
 
 object BroadcastTest {
   def main(args: Array[String]) {
diff --git a/examples/src/main/scala/spark/examples/CassandraTest.scala b/examples/src/main/scala/org/apache/spark/examples/CassandraTest.scala
index 104bfd5204..33bf7151a7 100644
--- a/examples/src/main/scala/spark/examples/CassandraTest.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/CassandraTest.scala
@@ -15,15 +15,15 @@
  * limitations under the License.
  */
 
-package spark.examples
+package org.apache.spark.examples
 
 import org.apache.hadoop.mapreduce.Job
 import org.apache.cassandra.hadoop.ColumnFamilyOutputFormat
 import org.apache.cassandra.hadoop.ConfigHelper
 import org.apache.cassandra.hadoop.ColumnFamilyInputFormat
 import org.apache.cassandra.thrift._
-import spark.SparkContext
-import spark.SparkContext._
+import org.apache.spark.SparkContext
+import org.apache.spark.SparkContext._
 import java.nio.ByteBuffer
 import java.util.SortedMap
 import org.apache.cassandra.db.IColumn
diff --git a/examples/src/main/scala/spark/examples/ExceptionHandlingTest.scala b/examples/src/main/scala/org/apache/spark/examples/ExceptionHandlingTest.scala
index 67ddaec8d2..92eb96bd8e 100644
--- a/examples/src/main/scala/spark/examples/ExceptionHandlingTest.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/ExceptionHandlingTest.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.examples
+package org.apache.spark.examples
 
-import spark.SparkContext
+import org.apache.spark.SparkContext
 
 object ExceptionHandlingTest {
   def main(args: Array[String]) {
diff --git a/examples/src/main/scala/spark/examples/GroupByTest.scala b/examples/src/main/scala/org/apache/spark/examples/GroupByTest.scala
index 5cee413615..42c2e0e8e1 100644
--- a/examples/src/main/scala/spark/examples/GroupByTest.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/GroupByTest.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.examples
+package org.apache.spark.examples
 
-import spark.SparkContext
-import spark.SparkContext._
+import org.apache.spark.SparkContext
+import org.apache.spark.SparkContext._
 import java.util.Random
 
 object GroupByTest {
diff --git a/examples/src/main/scala/spark/examples/HBaseTest.scala b/examples/src/main/scala/org/apache/spark/examples/HBaseTest.scala
index 4dd6c243ac..efe2e93b0d 100644
--- a/examples/src/main/scala/spark/examples/HBaseTest.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/HBaseTest.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.examples
+package org.apache.spark.examples
 
-import spark._
-import spark.rdd.NewHadoopRDD
+import org.apache.spark._
+import org.apache.spark.rdd.NewHadoopRDD
 import org.apache.hadoop.hbase.{HBaseConfiguration, HTableDescriptor}
 import org.apache.hadoop.hbase.client.HBaseAdmin
 import org.apache.hadoop.hbase.mapreduce.TableInputFormat
diff --git a/examples/src/main/scala/spark/examples/HdfsTest.scala b/examples/src/main/scala/org/apache/spark/examples/HdfsTest.scala
index 23258336e2..d6a88d3032 100644
--- a/examples/src/main/scala/spark/examples/HdfsTest.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/HdfsTest.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.examples
+package org.apache.spark.examples
 
-import spark._
+import org.apache.spark._
 
 object HdfsTest {
   def main(args: Array[String]) {
diff --git a/examples/src/main/scala/spark/examples/LocalALS.scala b/examples/src/main/scala/org/apache/spark/examples/LocalALS.scala
index 7a449a9d72..4af45b2b4a 100644
--- a/examples/src/main/scala/spark/examples/LocalALS.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/LocalALS.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.examples
+package org.apache.spark.examples
 
 import scala.math.sqrt
 import cern.jet.math._
diff --git a/examples/src/main/scala/spark/examples/LocalFileLR.scala b/examples/src/main/scala/org/apache/spark/examples/LocalFileLR.scala
index c1f8d32aa8..fb130ea198 100644
--- a/examples/src/main/scala/spark/examples/LocalFileLR.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/LocalFileLR.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.examples
+package org.apache.spark.examples
 
 import java.util.Random
-import spark.util.Vector
+import org.apache.spark.util.Vector
 
 object LocalFileLR {
   val D = 10   // Numer of dimensions
diff --git a/examples/src/main/scala/spark/examples/LocalKMeans.scala b/examples/src/main/scala/org/apache/spark/examples/LocalKMeans.scala
index 0a0bc6f476..f90ea35cd4 100644
--- a/examples/src/main/scala/spark/examples/LocalKMeans.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/LocalKMeans.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.examples
+package org.apache.spark.examples
 
 import java.util.Random
-import spark.util.Vector
-import spark.SparkContext._
+import org.apache.spark.util.Vector
+import org.apache.spark.SparkContext._
 import scala.collection.mutable.HashMap
 import scala.collection.mutable.HashSet
 
diff --git a/examples/src/main/scala/spark/examples/LocalLR.scala b/examples/src/main/scala/org/apache/spark/examples/LocalLR.scala
index ab99bf1fbe..cd4e9f1af0 100644
--- a/examples/src/main/scala/spark/examples/LocalLR.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/LocalLR.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.examples
+package org.apache.spark.examples
 
 import java.util.Random
-import spark.util.Vector
+import org.apache.spark.util.Vector
 
 /**
  * Logistic regression based classification.
diff --git a/examples/src/main/scala/spark/examples/LocalPi.scala b/examples/src/main/scala/org/apache/spark/examples/LocalPi.scala
index ccd69695df..bb7f22ec8d 100644
--- a/examples/src/main/scala/spark/examples/LocalPi.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/LocalPi.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.examples
+package org.apache.spark.examples
 
 import scala.math.random
-import spark._
+import org.apache.spark._
 import SparkContext._
 
 object LocalPi {
diff --git a/examples/src/main/scala/spark/examples/LogQuery.scala b/examples/src/main/scala/org/apache/spark/examples/LogQuery.scala
index e815ececf7..17ff3ce764 100644
--- a/examples/src/main/scala/spark/examples/LogQuery.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/LogQuery.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.examples
+package org.apache.spark.examples
 
-import spark.SparkContext
-import spark.SparkContext._
+import org.apache.spark.SparkContext
+import org.apache.spark.SparkContext._
 /**
  * Executes a roll up-style query against Apache logs.
  */
diff --git a/examples/src/main/scala/spark/examples/MultiBroadcastTest.scala b/examples/src/main/scala/org/apache/spark/examples/MultiBroadcastTest.scala
index d0b1cf06e5..f79f0142b8 100644
--- a/examples/src/main/scala/spark/examples/MultiBroadcastTest.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/MultiBroadcastTest.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.examples
+package org.apache.spark.examples
 
-import spark.SparkContext
+import org.apache.spark.SparkContext
 
 object MultiBroadcastTest {
   def main(args: Array[String]) {
diff --git a/examples/src/main/scala/spark/examples/SimpleSkewedGroupByTest.scala b/examples/src/main/scala/org/apache/spark/examples/SimpleSkewedGroupByTest.scala
index d197bbaf7c..37ddfb5db7 100644
--- a/examples/src/main/scala/spark/examples/SimpleSkewedGroupByTest.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/SimpleSkewedGroupByTest.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.examples
+package org.apache.spark.examples
 
-import spark.SparkContext
-import spark.SparkContext._
+import org.apache.spark.SparkContext
+import org.apache.spark.SparkContext._
 import java.util.Random
 
 object SimpleSkewedGroupByTest {
diff --git a/examples/src/main/scala/spark/examples/SkewedGroupByTest.scala b/examples/src/main/scala/org/apache/spark/examples/SkewedGroupByTest.scala
index 4641b82444..9c954b2b5b 100644
--- a/examples/src/main/scala/spark/examples/SkewedGroupByTest.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/SkewedGroupByTest.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.examples
+package org.apache.spark.examples
 
-import spark.SparkContext
-import spark.SparkContext._
+import org.apache.spark.SparkContext
+import org.apache.spark.SparkContext._
 import java.util.Random
 
 object SkewedGroupByTest {
diff --git a/examples/src/main/scala/spark/examples/SparkALS.scala b/examples/src/main/scala/org/apache/spark/examples/SparkALS.scala
index ba0dfd8f9b..814944ba1c 100644
--- a/examples/src/main/scala/spark/examples/SparkALS.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/SparkALS.scala
@@ -15,13 +15,13 @@
  * limitations under the License.
  */
 
-package spark.examples
+package org.apache.spark.examples
 
 import scala.math.sqrt
 import cern.jet.math._
 import cern.colt.matrix._
 import cern.colt.matrix.linalg._
-import spark._
+import org.apache.spark._
 
 /**
  * Alternating least squares matrix factorization.
diff --git a/examples/src/main/scala/spark/examples/SparkHdfsLR.scala b/examples/src/main/scala/org/apache/spark/examples/SparkHdfsLR.scala
index 43c9115664..646682878f 100644
--- a/examples/src/main/scala/spark/examples/SparkHdfsLR.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/SparkHdfsLR.scala
@@ -15,13 +15,13 @@
  * limitations under the License.
  */
 
-package spark.examples
+package org.apache.spark.examples
 
 import java.util.Random
 import scala.math.exp
-import spark.util.Vector
-import spark._
-import spark.scheduler.InputFormatInfo
+import org.apache.spark.util.Vector
+import org.apache.spark._
+import org.apache.spark.scheduler.InputFormatInfo
 
 /**
  * Logistic regression based classification.
diff --git a/examples/src/main/scala/spark/examples/SparkKMeans.scala b/examples/src/main/scala/org/apache/spark/examples/SparkKMeans.scala
index 38ed3b149a..f7bf75b4e5 100644
--- a/examples/src/main/scala/spark/examples/SparkKMeans.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/SparkKMeans.scala
@@ -15,12 +15,12 @@
  * limitations under the License.
  */
 
-package spark.examples
+package org.apache.spark.examples
 
 import java.util.Random
-import spark.SparkContext
-import spark.util.Vector
-import spark.SparkContext._
+import org.apache.spark.SparkContext
+import org.apache.spark.util.Vector
+import org.apache.spark.SparkContext._
 import scala.collection.mutable.HashMap
 import scala.collection.mutable.HashSet
 
diff --git a/examples/src/main/scala/spark/examples/SparkLR.scala b/examples/src/main/scala/org/apache/spark/examples/SparkLR.scala
index 52a0d69744..9ed9fe4d76 100644
--- a/examples/src/main/scala/spark/examples/SparkLR.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/SparkLR.scala
@@ -15,12 +15,12 @@
  * limitations under the License.
  */
 
-package spark.examples
+package org.apache.spark.examples
 
 import java.util.Random
 import scala.math.exp
-import spark.util.Vector
-import spark._
+import org.apache.spark.util.Vector
+import org.apache.spark._
 
 /**
  * Logistic regression based classification.
diff --git a/examples/src/main/scala/spark/examples/SparkPageRank.scala b/examples/src/main/scala/org/apache/spark/examples/SparkPageRank.scala
index dedbbd01a3..a508c0df57 100644
--- a/examples/src/main/scala/spark/examples/SparkPageRank.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/SparkPageRank.scala
@@ -1,7 +1,24 @@
-package spark.examples
+/*
+ * 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.
+ */
+
+package org.apache.spark.examples
 
-import spark.SparkContext._
-import spark.SparkContext
+import org.apache.spark.SparkContext._
+import org.apache.spark.SparkContext
 
 
 /**
diff --git a/examples/src/main/scala/spark/examples/SparkPi.scala b/examples/src/main/scala/org/apache/spark/examples/SparkPi.scala
index 00560ac9d1..5a2bc9b0d0 100644
--- a/examples/src/main/scala/spark/examples/SparkPi.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/SparkPi.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.examples
+package org.apache.spark.examples
 
 import scala.math.random
-import spark._
+import org.apache.spark._
 import SparkContext._
 
 /** Computes an approximation to pi */
diff --git a/examples/src/main/scala/spark/examples/SparkTC.scala b/examples/src/main/scala/org/apache/spark/examples/SparkTC.scala
index bf988a953b..5a7a9d1bd8 100644
--- a/examples/src/main/scala/spark/examples/SparkTC.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/SparkTC.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.examples
+package org.apache.spark.examples
 
-import spark._
+import org.apache.spark._
 import SparkContext._
 import scala.util.Random
 import scala.collection.mutable
diff --git a/examples/src/main/scala/spark/examples/bagel/PageRankUtils.scala b/examples/src/main/scala/org/apache/spark/examples/bagel/PageRankUtils.scala
index c23ee9895f..cfafbaf23e 100644
--- a/examples/src/main/scala/spark/examples/bagel/PageRankUtils.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/bagel/PageRankUtils.scala
@@ -15,13 +15,14 @@
  * limitations under the License.
  */
 
-package spark.examples.bagel
+package org.apache.spark.examples.bagel
 
-import spark._
-import spark.SparkContext._
+import org.apache.spark._
+import org.apache.spark.SparkContext._
+import org.apache.spark.serializer.KryoRegistrator
 
-import spark.bagel._
-import spark.bagel.Bagel._
+import org.apache.spark.bagel._
+import org.apache.spark.bagel.Bagel._
 
 import scala.collection.mutable.ArrayBuffer
 
diff --git a/examples/src/main/scala/spark/examples/bagel/WikipediaPageRank.scala b/examples/src/main/scala/org/apache/spark/examples/bagel/WikipediaPageRank.scala
index 00635a7ffa..72b5c7b88e 100644
--- a/examples/src/main/scala/spark/examples/bagel/WikipediaPageRank.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/bagel/WikipediaPageRank.scala
@@ -15,13 +15,13 @@
  * limitations under the License.
  */
 
-package spark.examples.bagel
+package org.apache.spark.examples.bagel
 
-import spark._
-import spark.SparkContext._
+import org.apache.spark._
+import org.apache.spark.SparkContext._
 
-import spark.bagel._
-import spark.bagel.Bagel._
+import org.apache.spark.bagel._
+import org.apache.spark.bagel.Bagel._
 
 import scala.xml.{XML,NodeSeq}
 
@@ -37,7 +37,7 @@ object WikipediaPageRank {
       System.exit(-1)
     }
 
-    System.setProperty("spark.serializer", "spark.KryoSerializer")
+    System.setProperty("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
     System.setProperty("spark.kryo.registrator", classOf[PRKryoRegistrator].getName)
 
     val inputFile = args(0)
diff --git a/examples/src/main/scala/spark/examples/bagel/WikipediaPageRankStandalone.scala b/examples/src/main/scala/org/apache/spark/examples/bagel/WikipediaPageRankStandalone.scala
index c416ddbc58..ddf6855325 100644
--- a/examples/src/main/scala/spark/examples/bagel/WikipediaPageRankStandalone.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/bagel/WikipediaPageRankStandalone.scala
@@ -15,21 +15,18 @@
  * limitations under the License.
  */
 
-package spark.examples.bagel
+package org.apache.spark.examples.bagel
 
-import spark._
-import serializer.{DeserializationStream, SerializationStream, SerializerInstance}
-import spark.SparkContext._
-
-import spark.bagel._
-import spark.bagel.Bagel._
-
-import scala.xml.{XML,NodeSeq}
+import java.io.{InputStream, OutputStream, DataInputStream, DataOutputStream}
+import java.nio.ByteBuffer
 
 import scala.collection.mutable.ArrayBuffer
+import scala.xml.{XML, NodeSeq}
 
-import java.io.{InputStream, OutputStream, DataInputStream, DataOutputStream}
-import java.nio.ByteBuffer
+import org.apache.spark._
+import org.apache.spark.serializer.{DeserializationStream, SerializationStream, SerializerInstance}
+import org.apache.spark.SparkContext._
+import org.apache.spark.rdd.RDD
 
 object WikipediaPageRankStandalone {
   def main(args: Array[String]) {
@@ -131,7 +128,7 @@ object WikipediaPageRankStandalone {
   }
 }
 
-class WPRSerializer extends spark.serializer.Serializer {
+class WPRSerializer extends org.apache.spark.serializer.Serializer {
   def newInstance(): SerializerInstance = new WPRSerializerInstance()
 }
 
diff --git a/examples/src/main/scala/spark/streaming/examples/ActorWordCount.scala b/examples/src/main/scala/org/apache/spark/streaming/examples/ActorWordCount.scala
index 05d3176478..cd3423a07b 100644
--- a/examples/src/main/scala/spark/streaming/examples/ActorWordCount.scala
+++ b/examples/src/main/scala/org/apache/spark/streaming/examples/ActorWordCount.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.streaming.examples
+package org.apache.spark.streaming.examples
 
 import scala.collection.mutable.LinkedList
 import scala.util.Random
@@ -25,11 +25,11 @@ import akka.actor.ActorRef
 import akka.actor.Props
 import akka.actor.actorRef2Scala
 
-import spark.streaming.Seconds
-import spark.streaming.StreamingContext
-import spark.streaming.StreamingContext.toPairDStreamFunctions
-import spark.streaming.receivers.Receiver
-import spark.util.AkkaUtils
+import org.apache.spark.streaming.Seconds
+import org.apache.spark.streaming.StreamingContext
+import org.apache.spark.streaming.StreamingContext.toPairDStreamFunctions
+import org.apache.spark.streaming.receivers.Receiver
+import org.apache.spark.util.AkkaUtils
 
 case class SubscribeReceiver(receiverActor: ActorRef)
 case class UnsubscribeReceiver(receiverActor: ActorRef)
@@ -80,7 +80,7 @@ class FeederActor extends Actor {
  * goes and subscribe to a typical publisher/feeder actor and receives
  * data.
  *
- * @see [[spark.streaming.examples.FeederActor]]
+ * @see [[org.apache.spark.streaming.examples.FeederActor]]
  */
 class SampleActorReceiver[T: ClassManifest](urlOfPublisher: String)
 extends Actor with Receiver {
diff --git a/examples/src/main/scala/spark/streaming/examples/FlumeEventCount.scala b/examples/src/main/scala/org/apache/spark/streaming/examples/FlumeEventCount.scala
index 3ab4fc2c37..9f6e163454 100644
--- a/examples/src/main/scala/spark/streaming/examples/FlumeEventCount.scala
+++ b/examples/src/main/scala/org/apache/spark/streaming/examples/FlumeEventCount.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.streaming.examples
+package org.apache.spark.streaming.examples
 
-import spark.util.IntParam
-import spark.storage.StorageLevel
-import spark.streaming._
+import org.apache.spark.util.IntParam
+import org.apache.spark.storage.StorageLevel
+import org.apache.spark.streaming._
 
 /**
  *  Produces a count of events received from Flume.
diff --git a/examples/src/main/scala/spark/streaming/examples/HdfsWordCount.scala b/examples/src/main/scala/org/apache/spark/streaming/examples/HdfsWordCount.scala
index 30af01a26f..bc8564b3ba 100644
--- a/examples/src/main/scala/spark/streaming/examples/HdfsWordCount.scala
+++ b/examples/src/main/scala/org/apache/spark/streaming/examples/HdfsWordCount.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.streaming.examples
+package org.apache.spark.streaming.examples
 
-import spark.streaming.{Seconds, StreamingContext}
-import spark.streaming.StreamingContext._
+import org.apache.spark.streaming.{Seconds, StreamingContext}
+import org.apache.spark.streaming.StreamingContext._
 
 
 /**
diff --git a/examples/src/main/scala/spark/streaming/examples/KafkaWordCount.scala b/examples/src/main/scala/org/apache/spark/streaming/examples/KafkaWordCount.scala
index d9c76d1a33..12f939d5a7 100644
--- a/examples/src/main/scala/spark/streaming/examples/KafkaWordCount.scala
+++ b/examples/src/main/scala/org/apache/spark/streaming/examples/KafkaWordCount.scala
@@ -15,17 +15,17 @@
  * limitations under the License.
  */
 
-package spark.streaming.examples
+package org.apache.spark.streaming.examples
 
 import java.util.Properties
 import kafka.message.Message
 import kafka.producer.SyncProducerConfig
 import kafka.producer._
-import spark.SparkContext
-import spark.streaming._
-import spark.streaming.StreamingContext._
-import spark.storage.StorageLevel
-import spark.streaming.util.RawTextHelper._
+import org.apache.spark.SparkContext
+import org.apache.spark.streaming._
+import org.apache.spark.streaming.StreamingContext._
+import org.apache.spark.storage.StorageLevel
+import org.apache.spark.streaming.util.RawTextHelper._
 
 /**
  * Consumes messages from one or more topics in Kafka and does wordcount.
diff --git a/examples/src/main/scala/spark/streaming/examples/NetworkWordCount.scala b/examples/src/main/scala/org/apache/spark/streaming/examples/NetworkWordCount.scala
index b29d79aac5..e2487dca5f 100644
--- a/examples/src/main/scala/spark/streaming/examples/NetworkWordCount.scala
+++ b/examples/src/main/scala/org/apache/spark/streaming/examples/NetworkWordCount.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.streaming.examples
+package org.apache.spark.streaming.examples
 
-import spark.streaming.{Seconds, StreamingContext}
-import spark.streaming.StreamingContext._
+import org.apache.spark.streaming.{Seconds, StreamingContext}
+import org.apache.spark.streaming.StreamingContext._
 
 /**
  * Counts words in UTF8 encoded, '\n' delimited text received from the network every second.
diff --git a/examples/src/main/scala/spark/streaming/examples/QueueStream.scala b/examples/src/main/scala/org/apache/spark/streaming/examples/QueueStream.scala
index da36c8c23c..fad512eeba 100644
--- a/examples/src/main/scala/spark/streaming/examples/QueueStream.scala
+++ b/examples/src/main/scala/org/apache/spark/streaming/examples/QueueStream.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.streaming.examples
+package org.apache.spark.streaming.examples
 
-import spark.RDD
-import spark.streaming.{Seconds, StreamingContext}
-import spark.streaming.StreamingContext._
+import org.apache.spark.rdd.RDD
+import org.apache.spark.streaming.{Seconds, StreamingContext}
+import org.apache.spark.streaming.StreamingContext._
 
 import scala.collection.mutable.SynchronizedQueue
 
diff --git a/examples/src/main/scala/spark/streaming/examples/RawNetworkGrep.scala b/examples/src/main/scala/org/apache/spark/streaming/examples/RawNetworkGrep.scala
index 7fb680bcc3..0b45c30d20 100644
--- a/examples/src/main/scala/spark/streaming/examples/RawNetworkGrep.scala
+++ b/examples/src/main/scala/org/apache/spark/streaming/examples/RawNetworkGrep.scala
@@ -15,20 +15,20 @@
  * limitations under the License.
  */
 
-package spark.streaming.examples
+package org.apache.spark.streaming.examples
 
-import spark.util.IntParam
-import spark.storage.StorageLevel
+import org.apache.spark.util.IntParam
+import org.apache.spark.storage.StorageLevel
 
-import spark.streaming._
-import spark.streaming.util.RawTextHelper
+import org.apache.spark.streaming._
+import org.apache.spark.streaming.util.RawTextHelper
 
 /**
  * Receives text from multiple rawNetworkStreams and counts how many '\n' delimited
  * lines have the word 'the' in them. This is useful for benchmarking purposes. This
  * will only work with spark.streaming.util.RawTextSender running on all worker nodes
  * and with Spark using Kryo serialization (set Java property "spark.serializer" to
- * "spark.KryoSerializer").
+ * "org.apache.spark.serializer.KryoSerializer").
  * Usage: RawNetworkGrep <master> <numStreams> <host> <port> <batchMillis>
  *   <master> is the Spark master URL
  *   <numStream> is the number rawNetworkStreams, which should be same as number
diff --git a/examples/src/main/scala/spark/streaming/examples/StatefulNetworkWordCount.scala b/examples/src/main/scala/org/apache/spark/streaming/examples/StatefulNetworkWordCount.scala
index b709fc3c87..cb30c4edb3 100644
--- a/examples/src/main/scala/spark/streaming/examples/StatefulNetworkWordCount.scala
+++ b/examples/src/main/scala/org/apache/spark/streaming/examples/StatefulNetworkWordCount.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.streaming.examples
+package org.apache.spark.streaming.examples
 
-import spark.streaming._
-import spark.streaming.StreamingContext._
+import org.apache.spark.streaming._
+import org.apache.spark.streaming.StreamingContext._
 
 /**
  * Counts words cumulatively in UTF8 encoded, '\n' delimited text received from the network every second.
diff --git a/examples/src/main/scala/spark/streaming/examples/TwitterAlgebirdCMS.scala b/examples/src/main/scala/org/apache/spark/streaming/examples/TwitterAlgebirdCMS.scala
index 8770abd57e..35b6329ab3 100644
--- a/examples/src/main/scala/spark/streaming/examples/TwitterAlgebirdCMS.scala
+++ b/examples/src/main/scala/org/apache/spark/streaming/examples/TwitterAlgebirdCMS.scala
@@ -15,13 +15,13 @@
  * limitations under the License.
  */
 
-package spark.streaming.examples
+package org.apache.spark.streaming.examples
 
-import spark.streaming.{Seconds, StreamingContext}
-import spark.storage.StorageLevel
+import org.apache.spark.streaming.{Seconds, StreamingContext}
+import org.apache.spark.storage.StorageLevel
 import com.twitter.algebird._
-import spark.streaming.StreamingContext._
-import spark.SparkContext._
+import org.apache.spark.streaming.StreamingContext._
+import org.apache.spark.SparkContext._
 
 /**
  * Illustrates the use of the Count-Min Sketch, from Twitter's Algebird library, to compute
diff --git a/examples/src/main/scala/spark/streaming/examples/TwitterAlgebirdHLL.scala b/examples/src/main/scala/org/apache/spark/streaming/examples/TwitterAlgebirdHLL.scala
index cba5c986be..8bfde2a829 100644
--- a/examples/src/main/scala/spark/streaming/examples/TwitterAlgebirdHLL.scala
+++ b/examples/src/main/scala/org/apache/spark/streaming/examples/TwitterAlgebirdHLL.scala
@@ -15,13 +15,13 @@
  * limitations under the License.
  */
 
-package spark.streaming.examples
+package org.apache.spark.streaming.examples
 
-import spark.streaming.{Seconds, StreamingContext}
-import spark.storage.StorageLevel
+import org.apache.spark.streaming.{Seconds, StreamingContext}
+import org.apache.spark.storage.StorageLevel
 import com.twitter.algebird.HyperLogLog._
 import com.twitter.algebird.HyperLogLogMonoid
-import spark.streaming.dstream.TwitterInputDStream
+import org.apache.spark.streaming.dstream.TwitterInputDStream
 
 /**
  * Illustrates the use of the HyperLogLog algorithm, from Twitter's Algebird library, to compute
diff --git a/examples/src/main/scala/spark/streaming/examples/TwitterPopularTags.scala b/examples/src/main/scala/org/apache/spark/streaming/examples/TwitterPopularTags.scala
index 682b99f75e..27aa6b14bf 100644
--- a/examples/src/main/scala/spark/streaming/examples/TwitterPopularTags.scala
+++ b/examples/src/main/scala/org/apache/spark/streaming/examples/TwitterPopularTags.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.streaming.examples
+package org.apache.spark.streaming.examples
 
-import spark.streaming.{Seconds, StreamingContext}
+import org.apache.spark.streaming.{Seconds, StreamingContext}
 import StreamingContext._
-import spark.SparkContext._
+import org.apache.spark.SparkContext._
 
 /**
  * Calculates popular hashtags (topics) over sliding 10 and 60 second windows from a Twitter
diff --git a/examples/src/main/scala/spark/streaming/examples/ZeroMQWordCount.scala b/examples/src/main/scala/org/apache/spark/streaming/examples/ZeroMQWordCount.scala
index a0cae06c30..c8743b9e25 100644
--- a/examples/src/main/scala/spark/streaming/examples/ZeroMQWordCount.scala
+++ b/examples/src/main/scala/org/apache/spark/streaming/examples/ZeroMQWordCount.scala
@@ -15,13 +15,13 @@
  * limitations under the License.
  */
 
-package spark.streaming.examples
+package org.apache.spark.streaming.examples
 
 import akka.actor.ActorSystem
 import akka.actor.actorRef2Scala
 import akka.zeromq._
-import spark.streaming.{ Seconds, StreamingContext }
-import spark.streaming.StreamingContext._
+import org.apache.spark.streaming.{ Seconds, StreamingContext }
+import org.apache.spark.streaming.StreamingContext._
 import akka.zeromq.Subscribe
 
 /**
diff --git a/examples/src/main/scala/spark/streaming/examples/clickstream/PageViewGenerator.scala b/examples/src/main/scala/org/apache/spark/streaming/examples/clickstream/PageViewGenerator.scala
index dd36bbbf32..884d6d6f34 100644
--- a/examples/src/main/scala/spark/streaming/examples/clickstream/PageViewGenerator.scala
+++ b/examples/src/main/scala/org/apache/spark/streaming/examples/clickstream/PageViewGenerator.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.streaming.examples.clickstream
+package org.apache.spark.streaming.examples.clickstream
 
 import java.net.{InetAddress,ServerSocket,Socket,SocketException}
 import java.io.{InputStreamReader, BufferedReader, PrintWriter}
diff --git a/examples/src/main/scala/spark/streaming/examples/clickstream/PageViewStream.scala b/examples/src/main/scala/org/apache/spark/streaming/examples/clickstream/PageViewStream.scala
index 152da23489..8282cc9269 100644
--- a/examples/src/main/scala/spark/streaming/examples/clickstream/PageViewStream.scala
+++ b/examples/src/main/scala/org/apache/spark/streaming/examples/clickstream/PageViewStream.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.streaming.examples.clickstream
+package org.apache.spark.streaming.examples.clickstream
 
-import spark.streaming.{Seconds, StreamingContext}
-import spark.streaming.StreamingContext._
-import spark.SparkContext._
+import org.apache.spark.streaming.{Seconds, StreamingContext}
+import org.apache.spark.streaming.StreamingContext._
+import org.apache.spark.SparkContext._
 
 /** Analyses a streaming dataset of web page views. This class demonstrates several types of
   * operators available in Spark streaming.
diff --git a/mllib/pom.xml b/mllib/pom.xml
index ab31d5734e..966caf6835 100644
--- a/mllib/pom.xml
+++ b/mllib/pom.xml
@@ -19,21 +19,21 @@
 <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
   <modelVersion>4.0.0</modelVersion>
   <parent>
-    <groupId>org.spark-project</groupId>
+    <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent</artifactId>
     <version>0.8.0-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
-  <groupId>org.spark-project</groupId>
+  <groupId>org.apache.spark</groupId>
   <artifactId>spark-mllib</artifactId>
   <packaging>jar</packaging>
   <name>Spark Project ML Library</name>
-  <url>http://spark-project.org/</url>
+  <url>http://spark.incubator.apache.org/</url>
 
   <dependencies>
     <dependency>
-      <groupId>org.spark-project</groupId>
+      <groupId>org.apache.spark</groupId>
       <artifactId>spark-core</artifactId>
       <version>${project.version}</version>
     </dependency>
diff --git a/core/src/main/scala/spark/package.scala b/mllib/src/main/scala/org/apache/spark/mllib/classification/ClassificationModel.scala
index b244bfbf06..391f5b9b7a 100644
--- a/core/src/main/scala/spark/package.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/classification/ClassificationModel.scala
@@ -15,18 +15,24 @@
  * limitations under the License.
  */
 
-/**
- * Core Spark functionality. [[spark.SparkContext]] serves as the main entry point to Spark, while
- * [[spark.RDD]] is the data type representing a distributed collection, and provides most
- * parallel operations. 
- *
- * In addition, [[spark.PairRDDFunctions]] contains operations available only on RDDs of key-value
- * pairs, such as `groupByKey` and `join`; [[spark.DoubleRDDFunctions]] contains operations
- * available only on RDDs of Doubles; and [[spark.SequenceFileRDDFunctions]] contains operations
- * available on RDDs that can be saved as SequenceFiles. These operations are automatically
- * available on any RDD of the right type (e.g. RDD[(Int, Int)] through implicit conversions when
- * you `import spark.SparkContext._`.
- */
-package object spark { 
-  // For package docs only
+package org.apache.spark.mllib.classification
+
+import org.apache.spark.rdd.RDD
+
+trait ClassificationModel extends Serializable {
+  /**
+   * Predict values for the given data set using the model trained.
+   *
+   * @param testData RDD representing data points to be predicted
+   * @return RDD[Int] where each entry contains the corresponding prediction
+   */
+  def predict(testData: RDD[Array[Double]]): RDD[Double]
+
+  /**
+   * Predict values for a single data point using the model trained.
+   *
+   * @param testData array representing a single data point
+   * @return Int prediction from the trained model
+   */
+  def predict(testData: Array[Double]): Double
 }
diff --git a/mllib/src/main/scala/spark/mllib/classification/LogisticRegression.scala b/mllib/src/main/scala/org/apache/spark/mllib/classification/LogisticRegression.scala
index 482e4a6745..50aede9c07 100644
--- a/mllib/src/main/scala/spark/mllib/classification/LogisticRegression.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/classification/LogisticRegression.scala
@@ -15,15 +15,16 @@
  * limitations under the License.
  */
 
-package spark.mllib.classification
+package org.apache.spark.mllib.classification
 
 import scala.math.round
 
-import spark.{Logging, RDD, SparkContext}
-import spark.mllib.optimization._
-import spark.mllib.regression._
-import spark.mllib.util.MLUtils
-import spark.mllib.util.DataValidators
+import org.apache.spark.SparkContext
+import org.apache.spark.rdd.RDD
+import org.apache.spark.mllib.optimization._
+import org.apache.spark.mllib.regression._
+import org.apache.spark.mllib.util.MLUtils
+import org.apache.spark.mllib.util.DataValidators
 
 import org.jblas.DoubleMatrix
 
diff --git a/mllib/src/main/scala/spark/mllib/classification/SVM.scala b/mllib/src/main/scala/org/apache/spark/mllib/classification/SVM.scala
index 69393cd7b0..3511e24bce 100644
--- a/mllib/src/main/scala/spark/mllib/classification/SVM.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/classification/SVM.scala
@@ -15,15 +15,16 @@
  * limitations under the License.
  */
 
-package spark.mllib.classification
+package org.apache.spark.mllib.classification
 
 import scala.math.signum
 
-import spark.{Logging, RDD, SparkContext}
-import spark.mllib.optimization._
-import spark.mllib.regression._
-import spark.mllib.util.MLUtils
-import spark.mllib.util.DataValidators
+import org.apache.spark.SparkContext
+import org.apache.spark.rdd.RDD
+import org.apache.spark.mllib.optimization._
+import org.apache.spark.mllib.regression._
+import org.apache.spark.mllib.util.MLUtils
+import org.apache.spark.mllib.util.DataValidators
 
 import org.jblas.DoubleMatrix
 
diff --git a/mllib/src/main/scala/spark/mllib/clustering/KMeans.scala b/mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeans.scala
index 97e3d110ae..edbf77dbcc 100644
--- a/mllib/src/main/scala/spark/mllib/clustering/KMeans.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeans.scala
@@ -15,15 +15,16 @@
  * limitations under the License.
  */
 
-package spark.mllib.clustering
+package org.apache.spark.mllib.clustering
 
 import scala.collection.mutable.ArrayBuffer
 import scala.util.Random
 
-import spark.{SparkContext, RDD}
-import spark.SparkContext._
-import spark.Logging
-import spark.mllib.util.MLUtils
+import org.apache.spark.SparkContext
+import org.apache.spark.SparkContext._
+import org.apache.spark.rdd.RDD
+import org.apache.spark.Logging
+import org.apache.spark.mllib.util.MLUtils
 
 import org.jblas.DoubleMatrix
 
diff --git a/mllib/src/main/scala/spark/mllib/clustering/KMeansModel.scala b/mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeansModel.scala
index b8f80e80cd..cfc81c985a 100644
--- a/mllib/src/main/scala/spark/mllib/clustering/KMeansModel.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeansModel.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.mllib.clustering
+package org.apache.spark.mllib.clustering
 
-import spark.RDD
-import spark.SparkContext._
-import spark.mllib.util.MLUtils
+import org.apache.spark.rdd.RDD
+import org.apache.spark.SparkContext._
+import org.apache.spark.mllib.util.MLUtils
 
 
 /**
diff --git a/mllib/src/main/scala/spark/mllib/clustering/LocalKMeans.scala b/mllib/src/main/scala/org/apache/spark/mllib/clustering/LocalKMeans.scala
index 89fe7d7e85..baf8251d8f 100644
--- a/mllib/src/main/scala/spark/mllib/clustering/LocalKMeans.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/clustering/LocalKMeans.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.mllib.clustering
+package org.apache.spark.mllib.clustering
 
 import scala.util.Random
 
diff --git a/mllib/src/main/scala/spark/mllib/optimization/Gradient.scala b/mllib/src/main/scala/org/apache/spark/mllib/optimization/Gradient.scala
index 05568f55af..749e7364f4 100644
--- a/mllib/src/main/scala/spark/mllib/optimization/Gradient.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/optimization/Gradient.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.mllib.optimization
+package org.apache.spark.mllib.optimization
 
 import org.jblas.DoubleMatrix
 
diff --git a/mllib/src/main/scala/spark/mllib/optimization/GradientDescent.scala b/mllib/src/main/scala/org/apache/spark/mllib/optimization/GradientDescent.scala
index 31917df7e8..b77364e08d 100644
--- a/mllib/src/main/scala/spark/mllib/optimization/GradientDescent.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/optimization/GradientDescent.scala
@@ -15,10 +15,11 @@
  * limitations under the License.
  */
 
-package spark.mllib.optimization
+package org.apache.spark.mllib.optimization
 
-import spark.{Logging, RDD, SparkContext}
-import spark.SparkContext._
+import org.apache.spark.{Logging, SparkContext}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.SparkContext._
 
 import org.jblas.DoubleMatrix
 
@@ -29,8 +30,9 @@ import scala.collection.mutable.ArrayBuffer
  * @param gradient Gradient function to be used.
  * @param updater Updater to be used to update weights after every iteration.
  */
-class GradientDescent(var gradient: Gradient, var updater: Updater) extends Optimizer {
-
+class GradientDescent(var gradient: Gradient, var updater: Updater)
+  extends Optimizer with Logging
+{
   private var stepSize: Double = 1.0
   private var numIterations: Int = 100
   private var regParam: Double = 0.0
diff --git a/mllib/src/main/scala/spark/mllib/optimization/Optimizer.scala b/mllib/src/main/scala/org/apache/spark/mllib/optimization/Optimizer.scala
index 76a519c338..94d30b56f2 100644
--- a/mllib/src/main/scala/spark/mllib/optimization/Optimizer.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/optimization/Optimizer.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.mllib.optimization
+package org.apache.spark.mllib.optimization
 
-import spark.RDD
+import org.apache.spark.rdd.RDD
 
 trait Optimizer {
 
diff --git a/mllib/src/main/scala/spark/mllib/optimization/Updater.scala b/mllib/src/main/scala/org/apache/spark/mllib/optimization/Updater.scala
index db67d6b0bc..4c51f4f881 100644
--- a/mllib/src/main/scala/spark/mllib/optimization/Updater.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/optimization/Updater.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.mllib.optimization
+package org.apache.spark.mllib.optimization
 
 import scala.math._
 import org.jblas.DoubleMatrix
diff --git a/mllib/src/main/scala/spark/mllib/recommendation/ALS.scala b/mllib/src/main/scala/org/apache/spark/mllib/recommendation/ALS.scala
index dbfbf59975..be002d02bc 100644
--- a/mllib/src/main/scala/spark/mllib/recommendation/ALS.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/recommendation/ALS.scala
@@ -15,16 +15,17 @@
  * limitations under the License.
  */
 
-package spark.mllib.recommendation
+package org.apache.spark.mllib.recommendation
 
 import scala.collection.mutable.{ArrayBuffer, BitSet}
 import scala.util.Random
 import scala.util.Sorting
 
-import spark.{HashPartitioner, Partitioner, SparkContext, RDD}
-import spark.storage.StorageLevel
-import spark.KryoRegistrator
-import spark.SparkContext._
+import org.apache.spark.{HashPartitioner, Partitioner, SparkContext}
+import org.apache.spark.storage.StorageLevel
+import org.apache.spark.rdd.RDD
+import org.apache.spark.serializer.KryoRegistrator
+import org.apache.spark.SparkContext._
 
 import com.esotericsoftware.kryo.Kryo
 import org.jblas.{DoubleMatrix, SimpleBlas, Solve}
@@ -432,7 +433,7 @@ object ALS {
     val (master, ratingsFile, rank, iters, outputDir) =
       (args(0), args(1), args(2).toInt, args(3).toInt, args(4))
     val blocks = if (args.length == 6) args(5).toInt else -1
-    System.setProperty("spark.serializer", "spark.KryoSerializer")
+    System.setProperty("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
     System.setProperty("spark.kryo.registrator", classOf[ALSRegistrator].getName)
     System.setProperty("spark.kryo.referenceTracking", "false")
     System.setProperty("spark.kryoserializer.buffer.mb", "8")
diff --git a/mllib/src/main/scala/spark/mllib/recommendation/MatrixFactorizationModel.scala b/mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
index 5e21717da5..af43d89c70 100644
--- a/mllib/src/main/scala/spark/mllib/recommendation/MatrixFactorizationModel.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.mllib.recommendation
+package org.apache.spark.mllib.recommendation
 
-import spark.RDD
-import spark.SparkContext._
+import org.apache.spark.rdd.RDD
+import org.apache.spark.SparkContext._
 
 import org.jblas._
 
diff --git a/mllib/src/main/scala/spark/mllib/regression/GeneralizedLinearAlgorithm.scala b/mllib/src/main/scala/org/apache/spark/mllib/regression/GeneralizedLinearAlgorithm.scala
index d164d415d6..f98b0b536d 100644
--- a/mllib/src/main/scala/spark/mllib/regression/GeneralizedLinearAlgorithm.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/regression/GeneralizedLinearAlgorithm.scala
@@ -15,10 +15,11 @@
  * limitations under the License.
  */
 
-package spark.mllib.regression
+package org.apache.spark.mllib.regression
 
-import spark.{Logging, RDD, SparkException}
-import spark.mllib.optimization._
+import org.apache.spark.{Logging, SparkException}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.mllib.optimization._
 
 import org.jblas.DoubleMatrix
 
@@ -52,7 +53,7 @@ abstract class GeneralizedLinearModel(val weights: Array[Double], val intercept:
    * @param testData RDD representing data points to be predicted
    * @return RDD[Double] where each entry contains the corresponding prediction
    */
-  def predict(testData: spark.RDD[Array[Double]]): RDD[Double] = {
+  def predict(testData: RDD[Array[Double]]): RDD[Double] = {
     // A small optimization to avoid serializing the entire model. Only the weightsMatrix
     // and intercept is needed.
     val localWeights = weightsMatrix
diff --git a/mllib/src/main/scala/spark/mllib/regression/LabeledPoint.scala b/mllib/src/main/scala/org/apache/spark/mllib/regression/LabeledPoint.scala
index 3de60482c5..63240e24dc 100644
--- a/mllib/src/main/scala/spark/mllib/regression/LabeledPoint.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/regression/LabeledPoint.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.mllib.regression
+package org.apache.spark.mllib.regression
 
 /**
  * Class that represents the features and labels of a data point.
diff --git a/mllib/src/main/scala/spark/mllib/regression/Lasso.scala b/mllib/src/main/scala/org/apache/spark/mllib/regression/Lasso.scala
index 0f33456ef4..d959695325 100644
--- a/mllib/src/main/scala/spark/mllib/regression/Lasso.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/regression/Lasso.scala
@@ -15,11 +15,12 @@
  * limitations under the License.
  */
 
-package spark.mllib.regression
+package org.apache.spark.mllib.regression
 
-import spark.{Logging, RDD, SparkContext}
-import spark.mllib.optimization._
-import spark.mllib.util.MLUtils
+import org.apache.spark.{Logging, SparkContext}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.mllib.optimization._
+import org.apache.spark.mllib.util.MLUtils
 
 import org.jblas.DoubleMatrix
 
diff --git a/mllib/src/main/scala/spark/mllib/regression/LinearRegression.scala b/mllib/src/main/scala/org/apache/spark/mllib/regression/LinearRegression.scala
index 885ff5a30d..ae95ea24fc 100644
--- a/mllib/src/main/scala/spark/mllib/regression/LinearRegression.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/regression/LinearRegression.scala
@@ -15,11 +15,12 @@
  * limitations under the License.
  */
 
-package spark.mllib.regression
+package org.apache.spark.mllib.regression
 
-import spark.{Logging, RDD, SparkContext}
-import spark.mllib.optimization._
-import spark.mllib.util.MLUtils
+import org.apache.spark.{Logging, SparkContext}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.mllib.optimization._
+import org.apache.spark.mllib.util.MLUtils
 
 import org.jblas.DoubleMatrix
 
diff --git a/mllib/src/main/scala/spark/mllib/regression/RegressionModel.scala b/mllib/src/main/scala/org/apache/spark/mllib/regression/RegressionModel.scala
index b845ba1a89..423afc32d6 100644
--- a/mllib/src/main/scala/spark/mllib/regression/RegressionModel.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/regression/RegressionModel.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.mllib.regression
+package org.apache.spark.mllib.regression
 
-import spark.RDD
+import org.apache.spark.rdd.RDD
 
 trait RegressionModel extends Serializable {
   /**
diff --git a/mllib/src/main/scala/spark/mllib/regression/RidgeRegression.scala b/mllib/src/main/scala/org/apache/spark/mllib/regression/RidgeRegression.scala
index cb1303dd99..b29508d2b9 100644
--- a/mllib/src/main/scala/spark/mllib/regression/RidgeRegression.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/regression/RidgeRegression.scala
@@ -15,11 +15,12 @@
  * limitations under the License.
  */
 
-package spark.mllib.regression
+package org.apache.spark.mllib.regression
 
-import spark.{Logging, RDD, SparkContext}
-import spark.mllib.optimization._
-import spark.mllib.util.MLUtils
+import org.apache.spark.{Logging, SparkContext}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.mllib.optimization._
+import org.apache.spark.mllib.util.MLUtils
 
 import org.jblas.DoubleMatrix
 
diff --git a/mllib/src/main/scala/spark/mllib/util/DataValidators.scala b/mllib/src/main/scala/org/apache/spark/mllib/util/DataValidators.scala
index 57553accf1..8b55bce7c4 100644
--- a/mllib/src/main/scala/spark/mllib/util/DataValidators.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/util/DataValidators.scala
@@ -15,10 +15,11 @@
  * limitations under the License.
  */
 
-package spark.mllib.util
+package org.apache.spark.mllib.util
 
-import spark.{RDD, Logging}
-import spark.mllib.regression.LabeledPoint
+import org.apache.spark.Logging
+import org.apache.spark.rdd.RDD
+import org.apache.spark.mllib.regression.LabeledPoint
 
 /**
  * A collection of methods used to validate data before applying ML algorithms.
diff --git a/mllib/src/main/scala/spark/mllib/util/KMeansDataGenerator.scala b/mllib/src/main/scala/org/apache/spark/mllib/util/KMeansDataGenerator.scala
index 672b63f65a..9109189dff 100644
--- a/mllib/src/main/scala/spark/mllib/util/KMeansDataGenerator.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/util/KMeansDataGenerator.scala
@@ -15,11 +15,12 @@
  * limitations under the License.
  */
 
-package spark.mllib.util
+package org.apache.spark.mllib.util
 
 import scala.util.Random
 
-import spark.{RDD, SparkContext}
+import org.apache.spark.SparkContext
+import org.apache.spark.rdd.RDD
 
 /**
  * Generate test data for KMeans. This class first chooses k cluster centers
diff --git a/mllib/src/main/scala/spark/mllib/util/LinearDataGenerator.scala b/mllib/src/main/scala/org/apache/spark/mllib/util/LinearDataGenerator.scala
index 9f48477f84..bc5045fb05 100644
--- a/mllib/src/main/scala/spark/mllib/util/LinearDataGenerator.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/util/LinearDataGenerator.scala
@@ -15,16 +15,17 @@
  * limitations under the License.
  */
 
-package spark.mllib.util
+package org.apache.spark.mllib.util
 
 import scala.collection.JavaConversions._
 import scala.util.Random
 
 import org.jblas.DoubleMatrix
 
-import spark.{RDD, SparkContext}
-import spark.mllib.regression.LabeledPoint
-import spark.mllib.regression.LabeledPoint
+import org.apache.spark.SparkContext
+import org.apache.spark.rdd.RDD
+import org.apache.spark.mllib.regression.LabeledPoint
+import org.apache.spark.mllib.regression.LabeledPoint
 
 /**
  * Generate sample data used for Linear Data. This class generates
diff --git a/mllib/src/main/scala/spark/mllib/util/LogisticRegressionDataGenerator.scala b/mllib/src/main/scala/org/apache/spark/mllib/util/LogisticRegressionDataGenerator.scala
index d6402f23e2..52c4a71d62 100644
--- a/mllib/src/main/scala/spark/mllib/util/LogisticRegressionDataGenerator.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/util/LogisticRegressionDataGenerator.scala
@@ -15,12 +15,13 @@
  * limitations under the License.
  */
 
-package spark.mllib.util
+package org.apache.spark.mllib.util
 
 import scala.util.Random
 
-import spark.{RDD, SparkContext}
-import spark.mllib.regression.LabeledPoint
+import org.apache.spark.SparkContext
+import org.apache.spark.rdd.RDD
+import org.apache.spark.mllib.regression.LabeledPoint
 
 /**
  * Generate test data for LogisticRegression. This class chooses positive labels
diff --git a/mllib/src/main/scala/spark/mllib/util/MFDataGenerator.scala b/mllib/src/main/scala/org/apache/spark/mllib/util/MFDataGenerator.scala
index 88992cde0c..5aec867257 100644
--- a/mllib/src/main/scala/spark/mllib/util/MFDataGenerator.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/util/MFDataGenerator.scala
@@ -15,14 +15,15 @@
  * limitations under the License.
  */
 
-package spark.mllib.recommendation
+package org.apache.spark.mllib.recommendation
 
 import scala.util.Random
 
 import org.jblas.DoubleMatrix
 
-import spark.{RDD, SparkContext}
-import spark.mllib.util.MLUtils
+import org.apache.spark.SparkContext
+import org.apache.spark.rdd.RDD
+import org.apache.spark.mllib.util.MLUtils
 
 /**
 * Generate RDD(s) containing data for Matrix Factorization.
@@ -110,4 +111,4 @@ object MFDataGenerator{
     sc.stop()
   
   }
-}
\ No newline at end of file
+}
diff --git a/mllib/src/main/scala/spark/mllib/util/MLUtils.scala b/mllib/src/main/scala/org/apache/spark/mllib/util/MLUtils.scala
index a8e6ae9953..d91b74c3ac 100644
--- a/mllib/src/main/scala/spark/mllib/util/MLUtils.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/util/MLUtils.scala
@@ -15,13 +15,14 @@
  * limitations under the License.
  */
 
-package spark.mllib.util
+package org.apache.spark.mllib.util
 
-import spark.{RDD, SparkContext}
-import spark.SparkContext._
+import org.apache.spark.SparkContext
+import org.apache.spark.rdd.RDD
+import org.apache.spark.SparkContext._
 
 import org.jblas.DoubleMatrix
-import spark.mllib.regression.LabeledPoint
+import org.apache.spark.mllib.regression.LabeledPoint
 
 /**
  * Helper methods to load, save and pre-process data used in ML Lib.
diff --git a/mllib/src/main/scala/spark/mllib/util/SVMDataGenerator.scala b/mllib/src/main/scala/org/apache/spark/mllib/util/SVMDataGenerator.scala
index eff456cad6..07022093f3 100644
--- a/mllib/src/main/scala/spark/mllib/util/SVMDataGenerator.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/util/SVMDataGenerator.scala
@@ -1,11 +1,29 @@
-package spark.mllib.util
+/*
+ * 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.
+ */
 
-import scala.util.Random
+package org.apache.spark.mllib.util
 
-import spark.{RDD, SparkContext}
+import scala.util.Random
 
 import org.jblas.DoubleMatrix
-import spark.mllib.regression.LabeledPoint
+
+import org.apache.spark.SparkContext
+import org.apache.spark.rdd.RDD
+import org.apache.spark.mllib.regression.LabeledPoint
 
 /**
  * Generate sample data used for SVM. This class generates uniform random values
diff --git a/mllib/src/main/scala/spark/mllib/classification/ClassificationModel.scala b/mllib/src/main/scala/spark/mllib/classification/ClassificationModel.scala
deleted file mode 100644
index 70fae8c15a..0000000000
--- a/mllib/src/main/scala/spark/mllib/classification/ClassificationModel.scala
+++ /dev/null
@@ -1,21 +0,0 @@
-package spark.mllib.classification
-
-import spark.RDD
-
-trait ClassificationModel extends Serializable {
-  /**
-   * Predict values for the given data set using the model trained.
-   *
-   * @param testData RDD representing data points to be predicted
-   * @return RDD[Int] where each entry contains the corresponding prediction
-   */
-  def predict(testData: RDD[Array[Double]]): RDD[Double]
-
-  /**
-   * Predict values for a single data point using the model trained.
-   *
-   * @param testData array representing a single data point
-   * @return Int prediction from the trained model
-   */
-  def predict(testData: Array[Double]): Double
-}
diff --git a/mllib/src/test/java/spark/mllib/classification/JavaLogisticRegressionSuite.java b/mllib/src/test/java/org/apache/spark/mllib/classification/JavaLogisticRegressionSuite.java
index e0ebd45cd8..e18e3bc6a8 100644
--- a/mllib/src/test/java/spark/mllib/classification/JavaLogisticRegressionSuite.java
+++ b/mllib/src/test/java/org/apache/spark/mllib/classification/JavaLogisticRegressionSuite.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.mllib.classification;
+package org.apache.spark.mllib.classification;
 
 import java.io.Serializable;
 import java.util.List;
@@ -25,10 +25,10 @@ import org.junit.Assert;
 import org.junit.Before;
 import org.junit.Test;
 
-import spark.api.java.JavaRDD;
-import spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
 
-import spark.mllib.regression.LabeledPoint;
+import org.apache.spark.mllib.regression.LabeledPoint;
 
 public class JavaLogisticRegressionSuite implements Serializable {
   private transient JavaSparkContext sc;
diff --git a/mllib/src/test/java/spark/mllib/classification/JavaSVMSuite.java b/mllib/src/test/java/org/apache/spark/mllib/classification/JavaSVMSuite.java
index 7881b3c38f..117e5eaa8b 100644
--- a/mllib/src/test/java/spark/mllib/classification/JavaSVMSuite.java
+++ b/mllib/src/test/java/org/apache/spark/mllib/classification/JavaSVMSuite.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.mllib.classification;
+package org.apache.spark.mllib.classification;
 
 
 import java.io.Serializable;
@@ -26,10 +26,10 @@ import org.junit.Assert;
 import org.junit.Before;
 import org.junit.Test;
 
-import spark.api.java.JavaRDD;
-import spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
 
-import spark.mllib.regression.LabeledPoint;
+import org.apache.spark.mllib.regression.LabeledPoint;
 
 public class JavaSVMSuite implements Serializable {
   private transient JavaSparkContext sc;
diff --git a/mllib/src/test/java/spark/mllib/clustering/JavaKMeansSuite.java b/mllib/src/test/java/org/apache/spark/mllib/clustering/JavaKMeansSuite.java
index 3f2d82bfb4..32d3934ac1 100644
--- a/mllib/src/test/java/spark/mllib/clustering/JavaKMeansSuite.java
+++ b/mllib/src/test/java/org/apache/spark/mllib/clustering/JavaKMeansSuite.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.mllib.clustering;
+package org.apache.spark.mllib.clustering;
 
 import java.io.Serializable;
 import java.util.ArrayList;
@@ -26,8 +26,8 @@ import org.junit.Assert;
 import org.junit.Before;
 import org.junit.Test;
 
-import spark.api.java.JavaRDD;
-import spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
 
 public class JavaKMeansSuite implements Serializable {
   private transient JavaSparkContext sc;
diff --git a/mllib/src/test/java/spark/mllib/recommendation/JavaALSSuite.java b/mllib/src/test/java/org/apache/spark/mllib/recommendation/JavaALSSuite.java
index 7993629a6d..3323f6cee2 100644
--- a/mllib/src/test/java/spark/mllib/recommendation/JavaALSSuite.java
+++ b/mllib/src/test/java/org/apache/spark/mllib/recommendation/JavaALSSuite.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.mllib.recommendation;
+package org.apache.spark.mllib.recommendation;
 
 import java.io.Serializable;
 import java.util.List;
@@ -27,8 +27,8 @@ import org.junit.Assert;
 import org.junit.Before;
 import org.junit.Test;
 
-import spark.api.java.JavaRDD;
-import spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
 
 import org.jblas.DoubleMatrix;
 
diff --git a/mllib/src/test/java/spark/mllib/regression/JavaLassoSuite.java b/mllib/src/test/java/org/apache/spark/mllib/regression/JavaLassoSuite.java
index 5863140baf..f44b25cd44 100644
--- a/mllib/src/test/java/spark/mllib/regression/JavaLassoSuite.java
+++ b/mllib/src/test/java/org/apache/spark/mllib/regression/JavaLassoSuite.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.mllib.regression;
+package org.apache.spark.mllib.regression;
 
 import java.io.Serializable;
 import java.util.List;
@@ -25,9 +25,9 @@ import org.junit.Assert;
 import org.junit.Before;
 import org.junit.Test;
 
-import spark.api.java.JavaRDD;
-import spark.api.java.JavaSparkContext;
-import spark.mllib.util.LinearDataGenerator;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.mllib.util.LinearDataGenerator;
 
 public class JavaLassoSuite implements Serializable {
   private transient JavaSparkContext sc;
diff --git a/mllib/src/test/java/spark/mllib/regression/JavaLinearRegressionSuite.java b/mllib/src/test/java/org/apache/spark/mllib/regression/JavaLinearRegressionSuite.java
index 50716c7861..5a4410a632 100644
--- a/mllib/src/test/java/spark/mllib/regression/JavaLinearRegressionSuite.java
+++ b/mllib/src/test/java/org/apache/spark/mllib/regression/JavaLinearRegressionSuite.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.mllib.regression;
+package org.apache.spark.mllib.regression;
 
 import java.io.Serializable;
 import java.util.List;
@@ -25,9 +25,9 @@ import org.junit.Assert;
 import org.junit.Before;
 import org.junit.Test;
 
-import spark.api.java.JavaRDD;
-import spark.api.java.JavaSparkContext;
-import spark.mllib.util.LinearDataGenerator;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.mllib.util.LinearDataGenerator;
 
 public class JavaLinearRegressionSuite implements Serializable {
   private transient JavaSparkContext sc;
diff --git a/mllib/src/test/java/spark/mllib/regression/JavaRidgeRegressionSuite.java b/mllib/src/test/java/org/apache/spark/mllib/regression/JavaRidgeRegressionSuite.java
index 2c0aabad30..2fdd5fc8fd 100644
--- a/mllib/src/test/java/spark/mllib/regression/JavaRidgeRegressionSuite.java
+++ b/mllib/src/test/java/org/apache/spark/mllib/regression/JavaRidgeRegressionSuite.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.mllib.regression;
+package org.apache.spark.mllib.regression;
 
 import java.io.Serializable;
 import java.util.List;
@@ -27,9 +27,9 @@ import org.junit.Test;
 
 import org.jblas.DoubleMatrix;
 
-import spark.api.java.JavaRDD;
-import spark.api.java.JavaSparkContext;
-import spark.mllib.util.LinearDataGenerator;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.mllib.util.LinearDataGenerator;
 
 public class JavaRidgeRegressionSuite implements Serializable {
   private transient JavaSparkContext sc;
diff --git a/mllib/src/test/scala/spark/mllib/classification/LogisticRegressionSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/classification/LogisticRegressionSuite.scala
index bd87c528c3..34c67294e9 100644
--- a/mllib/src/test/scala/spark/mllib/classification/LogisticRegressionSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/classification/LogisticRegressionSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.mllib.classification
+package org.apache.spark.mllib.classification
 
 import scala.util.Random
 import scala.collection.JavaConversions._
@@ -24,8 +24,8 @@ import org.scalatest.BeforeAndAfterAll
 import org.scalatest.FunSuite
 import org.scalatest.matchers.ShouldMatchers
 
-import spark.SparkContext
-import spark.mllib.regression._
+import org.apache.spark.SparkContext
+import org.apache.spark.mllib.regression._
 
 object LogisticRegressionSuite {
 
diff --git a/mllib/src/test/scala/spark/mllib/classification/SVMSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/classification/SVMSuite.scala
index 894ae458ad..6a957e3ddc 100644
--- a/mllib/src/test/scala/spark/mllib/classification/SVMSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/classification/SVMSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.mllib.classification
+package org.apache.spark.mllib.classification
 
 import scala.util.Random
 import scala.math.signum
@@ -24,11 +24,11 @@ import scala.collection.JavaConversions._
 import org.scalatest.BeforeAndAfterAll
 import org.scalatest.FunSuite
 
-import spark.SparkContext
-import spark.mllib.regression._
-
 import org.jblas.DoubleMatrix
 
+import org.apache.spark.{SparkException, SparkContext}
+import org.apache.spark.mllib.regression._
+
 object SVMSuite {
 
   def generateSVMInputAsList(
@@ -159,7 +159,7 @@ class SVMSuite extends FunSuite with BeforeAndAfterAll {
       }
     }
 
-    intercept[spark.SparkException] {
+    intercept[SparkException] {
       val model = SVMWithSGD.train(testRDDInvalid, 100)
     }
 
diff --git a/mllib/src/test/scala/spark/mllib/clustering/KMeansSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/clustering/KMeansSuite.scala
index d5d95c8639..94245f6027 100644
--- a/mllib/src/test/scala/spark/mllib/clustering/KMeansSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/clustering/KMeansSuite.scala
@@ -15,15 +15,15 @@
  * limitations under the License.
  */
 
-package spark.mllib.clustering
+package org.apache.spark.mllib.clustering
 
 import scala.util.Random
 
 import org.scalatest.BeforeAndAfterAll
 import org.scalatest.FunSuite
 
-import spark.SparkContext
-import spark.SparkContext._
+import org.apache.spark.SparkContext
+import org.apache.spark.SparkContext._
 
 import org.jblas._
 
diff --git a/mllib/src/test/scala/spark/mllib/recommendation/ALSSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/recommendation/ALSSuite.scala
index 15a60efda6..347ef238f4 100644
--- a/mllib/src/test/scala/spark/mllib/recommendation/ALSSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/recommendation/ALSSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.mllib.recommendation
+package org.apache.spark.mllib.recommendation
 
 import scala.collection.JavaConversions._
 import scala.util.Random
@@ -23,8 +23,8 @@ import scala.util.Random
 import org.scalatest.BeforeAndAfterAll
 import org.scalatest.FunSuite
 
-import spark.SparkContext
-import spark.SparkContext._
+import org.apache.spark.SparkContext
+import org.apache.spark.SparkContext._
 
 import org.jblas._
 
diff --git a/mllib/src/test/scala/spark/mllib/regression/LassoSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/regression/LassoSuite.scala
index 622dbbab7f..db980c7bae 100644
--- a/mllib/src/test/scala/spark/mllib/regression/LassoSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/regression/LassoSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.mllib.regression
+package org.apache.spark.mllib.regression
 
 import scala.collection.JavaConversions._
 import scala.util.Random
@@ -23,8 +23,8 @@ import scala.util.Random
 import org.scalatest.BeforeAndAfterAll
 import org.scalatest.FunSuite
 
-import spark.SparkContext
-import spark.mllib.util.LinearDataGenerator
+import org.apache.spark.SparkContext
+import org.apache.spark.mllib.util.LinearDataGenerator
 
 
 class LassoSuite extends FunSuite with BeforeAndAfterAll {
diff --git a/mllib/src/test/scala/spark/mllib/regression/LinearRegressionSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/regression/LinearRegressionSuite.scala
index acc48a3283..ef500c704c 100644
--- a/mllib/src/test/scala/spark/mllib/regression/LinearRegressionSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/regression/LinearRegressionSuite.scala
@@ -15,14 +15,14 @@
  * limitations under the License.
  */
 
-package spark.mllib.regression
+package org.apache.spark.mllib.regression
 
 import org.scalatest.BeforeAndAfterAll
 import org.scalatest.FunSuite
 
-import spark.SparkContext
-import spark.SparkContext._
-import spark.mllib.util.LinearDataGenerator
+import org.apache.spark.SparkContext
+import org.apache.spark.SparkContext._
+import org.apache.spark.mllib.util.LinearDataGenerator
 
 class LinearRegressionSuite extends FunSuite with BeforeAndAfterAll {
   @transient private var sc: SparkContext = _
diff --git a/mllib/src/test/scala/spark/mllib/regression/RidgeRegressionSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/regression/RidgeRegressionSuite.scala
index c482035706..c18092d804 100644
--- a/mllib/src/test/scala/spark/mllib/regression/RidgeRegressionSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/regression/RidgeRegressionSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.mllib.regression
+package org.apache.spark.mllib.regression
 
 import scala.collection.JavaConversions._
 import scala.util.Random
@@ -24,9 +24,9 @@ import org.jblas.DoubleMatrix
 import org.scalatest.BeforeAndAfterAll
 import org.scalatest.FunSuite
 
-import spark.SparkContext
-import spark.SparkContext._
-import spark.mllib.util.LinearDataGenerator
+import org.apache.spark.SparkContext
+import org.apache.spark.SparkContext._
+import org.apache.spark.mllib.util.LinearDataGenerator
 
 class RidgeRegressionSuite extends FunSuite with BeforeAndAfterAll {
   @transient private var sc: SparkContext = _
diff --git a/pom.xml b/pom.xml
index e2fd54a966..c561b099ab 100644
--- a/pom.xml
+++ b/pom.xml
@@ -18,22 +18,27 @@
 
 <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
   <modelVersion>4.0.0</modelVersion>
-  <groupId>org.spark-project</groupId>
+  <parent>
+    <groupId>org.apache</groupId>
+    <artifactId>apache</artifactId>
+    <version>11</version>
+  </parent>
+  <groupId>org.apache.spark</groupId>
   <artifactId>spark-parent</artifactId>
   <version>0.8.0-SNAPSHOT</version>
   <packaging>pom</packaging>
   <name>Spark Project Parent POM</name>
-  <url>http://spark-project.org/</url>
+  <url>http://spark.incubator.apache.org/</url>
   <licenses>
     <license>
-      <name>BSD License</name>
-      <url>https://github.com/mesos/spark/blob/master/LICENSE</url>
+      <name>Apache 2.0 License</name>
+      <url>http://www.apache.org/licenses/LICENSE-2.0.html</url>
       <distribution>repo</distribution>
     </license>
   </licenses>
   <scm>
-    <connection>scm:git:git@github.com:mesos/spark.git</connection>
-    <url>scm:git:git@github.com:mesos/spark.git</url>
+    <connection>scm:git:git@github.com:apache/incubator-spark.git</connection>
+    <url>scm:git:git@github.com:apache/incubator-spark.git</url>
   </scm>
   <developers>
     <developer>
@@ -41,12 +46,12 @@
       <name>Matei Zaharia</name>
       <email>matei.zaharia@gmail.com</email>
       <url>http://www.cs.berkeley.edu/~matei</url>
-      <organization>U.C. Berkeley Computer Science</organization>
-      <organizationUrl>http://www.cs.berkeley.edu/</organizationUrl>
+      <organization>Apache Software Foundation</organization>
+      <organizationUrl>http://spark.incubator.apache.org</organizationUrl>
     </developer>
   </developers>
   <issueManagement>
-    <system>github</system>
+    <system>JIRA</system>
     <url>https://spark-project.atlassian.net/browse/SPARK</url>
   </issueManagement>
 
diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index 2e26812671..d038a4f479 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -74,7 +74,7 @@ object SparkBuild extends Build {
     core, repl, examples, bagel, streaming, mllib, tools, assemblyProj) ++ maybeYarnRef
 
   def sharedSettings = Defaults.defaultSettings ++ Seq(
-    organization := "org.spark-project",
+    organization := "org.apache.spark",
     version := "0.8.0-SNAPSHOT",
     scalaVersion := "2.9.3",
     scalacOptions := Seq("-unchecked", "-optimize", "-deprecation"),
@@ -103,7 +103,12 @@ object SparkBuild extends Build {
     //useGpg in Global := true,
 
     pomExtra := (
-      <url>http://spark-project.org/</url>
+      <parent>
+        <groupId>org.apache</groupId>
+        <artifactId>apache</artifactId>
+        <version>13</version>
+      </parent>
+      <url>http://spark.incubator.apache.org/</url>
       <licenses>
         <license>
           <name>Apache 2.0 License</name>
@@ -112,8 +117,8 @@ object SparkBuild extends Build {
         </license>
       </licenses>
       <scm>
-        <connection>scm:git:git@github.com:mesos/spark.git</connection>
-        <url>scm:git:git@github.com:mesos/spark.git</url>
+        <connection>scm:git:git@github.com:apache/incubator-spark.git</connection>
+        <url>scm:git:git@github.com:apache/incubator-spark.git</url>
       </scm>
       <developers>
         <developer>
@@ -121,10 +126,14 @@ object SparkBuild extends Build {
           <name>Matei Zaharia</name>
           <email>matei.zaharia@gmail.com</email>
           <url>http://www.cs.berkeley.edu/~matei</url>
-          <organization>U.C. Berkeley Computer Science</organization>
-          <organizationUrl>http://www.cs.berkeley.edu/</organizationUrl>
+          <organization>Apache Software Foundation</organization>
+          <organizationUrl>http://spark.incubator.apache.org</organizationUrl>
         </developer>
       </developers>
+      <issueManagement>
+        <system>JIRA</system>
+        <url>https://spark-project.atlassian.net/browse/SPARK</url>
+      </issueManagement>
     ),
 
 /*
diff --git a/pyspark b/pyspark
index 2dba2ceb21..4941a36d0d 100755
--- a/pyspark
+++ b/pyspark
@@ -31,7 +31,7 @@ if [ ! -f "$FWDIR/RELEASE" ]; then
   ls "$FWDIR"/assembly/target/scala-$SCALA_VERSION/spark-assembly*hadoop*.jar >& /dev/null
   if [[ $? != 0 ]]; then
     echo "Failed to find Spark assembly in $FWDIR/assembly/target" >&2
-    echo "You need to compile Spark before running this program" >&2
+    echo "You need to build Spark with sbt/sbt assembly before running this program" >&2
     exit 1
   fi
 fi
diff --git a/run.cmd b/pyspark.cmd
index c91764e617..7c26fbbac2 100644
--- a/run.cmd
+++ b/pyspark.cmd
@@ -17,4 +17,7 @@ rem See the License for the specific language governing permissions and
 rem limitations under the License.
 rem
 
-cmd /V /E /C %~dp0run2.cmd %*
+rem This is the entry point for running PySpark. To avoid polluting the
+rem environment, it just launches a new cmd to do the real work.
+
+cmd /V /E /C %~dp0pyspark2.cmd %*
diff --git a/pyspark2.cmd b/pyspark2.cmd
new file mode 100644
index 0000000000..f58e349643
--- /dev/null
+++ b/pyspark2.cmd
@@ -0,0 +1,55 @@
+@echo off
+
+rem
+rem Licensed to the Apache Software Foundation (ASF) under one or more
+rem contributor license agreements.  See the NOTICE file distributed with
+rem this work for additional information regarding copyright ownership.
+rem The ASF licenses this file to You under the Apache License, Version 2.0
+rem (the "License"); you may not use this file except in compliance with
+rem the License.  You may obtain a copy of the License at
+rem
+rem    http://www.apache.org/licenses/LICENSE-2.0
+rem
+rem Unless required by applicable law or agreed to in writing, software
+rem distributed under the License is distributed on an "AS IS" BASIS,
+rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+rem See the License for the specific language governing permissions and
+rem limitations under the License.
+rem
+
+set SCALA_VERSION=2.9.3
+
+rem Figure out where the Spark framework is installed
+set FWDIR=%~dp0
+
+rem Export this as SPARK_HOME
+set SPARK_HOME=%FWDIR%
+
+rem Test whether the user has built Spark
+if exist "%FWDIR%RELEASE" goto skip_build_test
+set FOUND_JAR=0
+for %%d in ("%FWDIR%assembly\target\scala-%SCALA_VERSION%\spark-assembly*hadoop*.jar") do (
+  set FOUND_JAR=1
+)
+if "%FOUND_JAR%"=="0" (
+  echo Failed to find Spark assembly JAR.
+  echo You need to build Spark with sbt\sbt assembly before running this program.
+  goto exit
+)
+:skip_build_test
+
+rem Load environment variables from conf\spark-env.cmd, if it exists
+if exist "%FWDIR%conf\spark-env.cmd" call "%FWDIR%conf\spark-env.cmd"
+
+rem Figure out which Python to use.
+if "x%PYSPARK_PYTHON%"=="x" set PYSPARK_PYTHON=python
+
+set PYTHONPATH=%FWDIR%python;%PYTHONPATH%
+
+set OLD_PYTHONSTARTUP=%PYTHONSTARTUP%
+set PYTHONSTARTUP=%FWDIR%python\pyspark\shell.py
+
+echo Running %PYSPARK_PYTHON% with PYTHONPATH=%PYTHONPATH%
+
+"%PYSPARK_PYTHON%" %*
+:exit
diff --git a/python/epydoc.conf b/python/epydoc.conf
index d5d5aa5454..1d0d002d36 100644
--- a/python/epydoc.conf
+++ b/python/epydoc.conf
@@ -34,3 +34,4 @@ private: no
 
 exclude: pyspark.cloudpickle pyspark.worker pyspark.join pyspark.serializers
          pyspark.java_gateway pyspark.examples pyspark.shell pyspark.test
+         pyspark.rddsampler pyspark.daemon
diff --git a/python/examples/wordcount.py b/python/examples/wordcount.py
index a6de22766a..b9139b9d76 100755
--- a/python/examples/wordcount.py
+++ b/python/examples/wordcount.py
@@ -32,4 +32,4 @@ if __name__ == "__main__":
                   .reduceByKey(add)
     output = counts.collect()
     for (word, count) in output:
-        print "%s : %i" % (word, count)
+        print "%s: %i" % (word, count)
diff --git a/python/pyspark/__init__.py b/python/pyspark/__init__.py
index 3e8bca62f0..fd5972d381 100644
--- a/python/pyspark/__init__.py
+++ b/python/pyspark/__init__.py
@@ -1,5 +1,22 @@
+#
+# 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.
+#
+
 """
-PySpark is a Python API for Spark.
+PySpark is the Python API for Spark.
 
 Public classes:
 
diff --git a/python/pyspark/context.py b/python/pyspark/context.py
index 2803ce90f3..8fbf296509 100644
--- a/python/pyspark/context.py
+++ b/python/pyspark/context.py
@@ -114,9 +114,9 @@ class SparkContext(object):
             self.addPyFile(path)
 
         # Create a temporary directory inside spark.local.dir:
-        local_dir = self._jvm.spark.Utils.getLocalDir()
+        local_dir = self._jvm.org.apache.spark.util.Utils.getLocalDir()
         self._temp_dir = \
-            self._jvm.spark.Utils.createTempDir(local_dir).getAbsolutePath()
+            self._jvm.org.apache.spark.util.Utils.createTempDir(local_dir).getAbsolutePath()
 
     @property
     def defaultParallelism(self):
diff --git a/python/pyspark/files.py b/python/pyspark/files.py
index 89bcbcfe06..57ee14eeb7 100644
--- a/python/pyspark/files.py
+++ b/python/pyspark/files.py
@@ -52,4 +52,4 @@ class SparkFiles(object):
             return cls._root_directory
         else:
             # This will have to change if we support multiple SparkContexts:
-            return cls._sc._jvm.spark.SparkFiles.getRootDirectory()
+            return cls._sc._jvm.org.apache.spark.SparkFiles.getRootDirectory()
diff --git a/python/pyspark/java_gateway.py b/python/pyspark/java_gateway.py
index 18011c0dc9..e615c1e9b6 100644
--- a/python/pyspark/java_gateway.py
+++ b/python/pyspark/java_gateway.py
@@ -17,6 +17,8 @@
 
 import os
 import sys
+import signal
+import platform
 from subprocess import Popen, PIPE
 from threading import Thread
 from py4j.java_gateway import java_import, JavaGateway, GatewayClient
@@ -28,9 +30,18 @@ SPARK_HOME = os.environ["SPARK_HOME"]
 def launch_gateway():
     # Launch the Py4j gateway using Spark's run command so that we pick up the
     # proper classpath and SPARK_MEM settings from spark-env.sh
-    command = [os.path.join(SPARK_HOME, "spark-class"), "py4j.GatewayServer",
+    on_windows = platform.system() == "Windows"
+    script = "spark-class.cmd" if on_windows else "spark-class"
+    command = [os.path.join(SPARK_HOME, script), "py4j.GatewayServer",
                "--die-on-broken-pipe", "0"]
-    proc = Popen(command, stdout=PIPE, stdin=PIPE)
+    if not on_windows:
+        # Don't send ctrl-c / SIGINT to the Java gateway:
+        def preexec_func():
+            signal.signal(signal.SIGINT, signal.SIG_IGN)
+        proc = Popen(command, stdout=PIPE, stdin=PIPE, preexec_fn=preexec_func)
+    else:
+        # preexec_fn not supported on Windows
+        proc = Popen(command, stdout=PIPE, stdin=PIPE)
     # Determine which ephemeral port the server started on:
     port = int(proc.stdout.readline())
     # Create a thread to echo output from the GatewayServer, which is required
@@ -49,7 +60,7 @@ def launch_gateway():
     # Connect to the gateway
     gateway = JavaGateway(GatewayClient(port=port), auto_convert=False)
     # Import the classes used by PySpark
-    java_import(gateway.jvm, "spark.api.java.*")
-    java_import(gateway.jvm, "spark.api.python.*")
+    java_import(gateway.jvm, "org.apache.spark.api.java.*")
+    java_import(gateway.jvm, "org.apache.spark.api.python.*")
     java_import(gateway.jvm, "scala.Tuple2")
     return gateway
diff --git a/python/pyspark/rdd.py b/python/pyspark/rdd.py
index 1e9b3bb5c0..914118ccdd 100644
--- a/python/pyspark/rdd.py
+++ b/python/pyspark/rdd.py
@@ -21,6 +21,7 @@ from collections import defaultdict
 from itertools import chain, ifilter, imap, product
 import operator
 import os
+import sys
 import shlex
 from subprocess import Popen, PIPE
 from tempfile import NamedTemporaryFile
@@ -32,6 +33,7 @@ from pyspark.serializers import batched, Batch, dump_pickle, load_pickle, \
 from pyspark.join import python_join, python_left_outer_join, \
     python_right_outer_join, python_cogroup
 from pyspark.statcounter import StatCounter
+from pyspark.rddsampler import RDDSampler
 
 from py4j.java_collections import ListConverter, MapConverter
 
@@ -165,14 +167,60 @@ class RDD(object):
                    .reduceByKey(lambda x, _: x) \
                    .map(lambda (x, _): x)
 
-    # TODO: sampling needs to be re-implemented due to Batch
-    #def sample(self, withReplacement, fraction, seed):
-    #    jrdd = self._jrdd.sample(withReplacement, fraction, seed)
-    #    return RDD(jrdd, self.ctx)
+    def sample(self, withReplacement, fraction, seed):
+        """
+        Return a sampled subset of this RDD (relies on numpy and falls back
+        on default random generator if numpy is unavailable).
+
+        >>> sc.parallelize(range(0, 100)).sample(False, 0.1, 2).collect() #doctest: +SKIP
+        [2, 3, 20, 21, 24, 41, 42, 66, 67, 89, 90, 98]
+        """
+        return self.mapPartitionsWithSplit(RDDSampler(withReplacement, fraction, seed).func, True)
+
+    # this is ported from scala/spark/RDD.scala
+    def takeSample(self, withReplacement, num, seed):
+        """
+        Return a fixed-size sampled subset of this RDD (currently requires numpy).
+
+        >>> sc.parallelize(range(0, 10)).takeSample(True, 10, 1) #doctest: +SKIP
+        [4, 2, 1, 8, 2, 7, 0, 4, 1, 4]
+        """
+
+        fraction = 0.0
+        total = 0
+        multiplier = 3.0
+        initialCount = self.count()
+        maxSelected = 0
+
+        if (num < 0):
+            raise ValueError
+
+        if initialCount > sys.maxint - 1:
+            maxSelected = sys.maxint - 1
+        else:
+            maxSelected = initialCount
+
+        if num > initialCount and not withReplacement:
+            total = maxSelected
+            fraction = multiplier * (maxSelected + 1) / initialCount
+        else:
+            fraction = multiplier * (num + 1) / initialCount
+            total = num
 
-    #def takeSample(self, withReplacement, num, seed):
-    #    vals = self._jrdd.takeSample(withReplacement, num, seed)
-    #    return [load_pickle(bytes(x)) for x in vals]
+        samples = self.sample(withReplacement, fraction, seed).collect()
+    
+        # If the first sample didn't turn out large enough, keep trying to take samples;
+        # this shouldn't happen often because we use a big multiplier for their initial size.
+        # See: scala/spark/RDD.scala
+        while len(samples) < total:
+            if seed > sys.maxint - 2:
+                seed = -1
+            seed += 1
+            samples = self.sample(withReplacement, fraction, seed).collect()
+
+        sampler = RDDSampler(withReplacement, fraction, seed+1)
+        sampler.shuffle(samples)
+        return samples[0:total]
 
     def union(self, other):
         """
@@ -754,6 +802,43 @@ class RDD(object):
         """
         return python_cogroup(self, other, numPartitions)
 
+    def subtractByKey(self, other, numPartitions=None):
+        """
+        Return each (key, value) pair in C{self} that has no pair with matching key
+        in C{other}.
+
+        >>> x = sc.parallelize([("a", 1), ("b", 4), ("b", 5), ("a", 2)])
+        >>> y = sc.parallelize([("a", 3), ("c", None)])
+        >>> sorted(x.subtractByKey(y).collect())
+        [('b', 4), ('b', 5)]
+        """ 
+        filter_func = lambda tpl: len(tpl[1][0]) > 0 and len(tpl[1][1]) == 0
+        map_func = lambda tpl: [(tpl[0], val) for val in tpl[1][0]]
+        return self.cogroup(other, numPartitions).filter(filter_func).flatMap(map_func)
+
+    def subtract(self, other, numPartitions=None):
+        """
+        Return each value in C{self} that is not contained in C{other}.
+
+        >>> x = sc.parallelize([("a", 1), ("b", 4), ("b", 5), ("a", 3)])
+        >>> y = sc.parallelize([("a", 3), ("c", None)])
+        >>> sorted(x.subtract(y).collect())
+        [('a', 1), ('b', 4), ('b', 5)]
+        """
+        rdd = other.map(lambda x: (x, True)) # note: here 'True' is just a placeholder
+        return self.map(lambda x: (x, True)).subtractByKey(rdd).map(lambda tpl: tpl[0]) # note: here 'True' is just a placeholder
+
+    def keyBy(self, f):
+        """
+        Creates tuples of the elements in this RDD by applying C{f}.
+
+        >>> x = sc.parallelize(range(0,3)).keyBy(lambda x: x*x)
+        >>> y = sc.parallelize(zip(range(0,5), range(0,5)))
+        >>> sorted(x.cogroup(y).collect())
+        [(0, ([0], [0])), (1, ([1], [1])), (2, ([], [2])), (3, ([], [3])), (4, ([2], [4]))]
+        """
+        return self.map(lambda x: (f(x), x))
+
     # TODO: `lookup` is disabled because we can't make direct comparisons based
     # on the key; we need to compare the hash of the key to the hash of the
     # keys in the pairs.  This could be an expensive operation, since those
diff --git a/python/pyspark/rddsampler.py b/python/pyspark/rddsampler.py
new file mode 100644
index 0000000000..aca2ef3b51
--- /dev/null
+++ b/python/pyspark/rddsampler.py
@@ -0,0 +1,112 @@
+#
+# 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.
+#
+
+import sys
+import random
+
+class RDDSampler(object):
+    def __init__(self, withReplacement, fraction, seed):
+        try:
+            import numpy
+            self._use_numpy = True
+        except ImportError:
+            print >> sys.stderr, "NumPy does not appear to be installed. Falling back to default random generator for sampling."
+            self._use_numpy = False
+
+        self._seed = seed
+        self._withReplacement = withReplacement
+        self._fraction = fraction
+        self._random = None
+        self._split = None
+        self._rand_initialized = False
+
+    def initRandomGenerator(self, split):
+        if self._use_numpy:
+            import numpy
+            self._random = numpy.random.RandomState(self._seed)
+            for _ in range(0, split):
+                # discard the next few values in the sequence to have a
+                # different seed for the different splits
+                self._random.randint(sys.maxint)
+        else:
+            import random
+            random.seed(self._seed)
+            for _ in range(0, split):
+                # discard the next few values in the sequence to have a
+                # different seed for the different splits
+                random.randint(0, sys.maxint)
+        self._split = split
+        self._rand_initialized = True
+
+    def getUniformSample(self, split):
+        if not self._rand_initialized or split != self._split:
+            self.initRandomGenerator(split)
+
+        if self._use_numpy:
+            return self._random.random_sample()
+        else:
+            return random.uniform(0.0, 1.0)
+
+    def getPoissonSample(self, split, mean):
+        if not self._rand_initialized or split != self._split:
+            self.initRandomGenerator(split)
+        
+        if self._use_numpy:
+            return self._random.poisson(mean)
+        else:
+            # here we simulate drawing numbers n_i ~ Poisson(lambda = 1/mean) by
+            # drawing a sequence of numbers delta_j ~ Exp(mean)
+            num_arrivals = 1
+            cur_time = 0.0
+
+            cur_time += random.expovariate(mean)
+
+            if cur_time > 1.0:
+                return 0
+
+            while(cur_time <= 1.0):
+                cur_time += random.expovariate(mean)
+                num_arrivals += 1
+
+            return (num_arrivals - 1)
+    
+    def shuffle(self, vals):
+        if self._random == None or split != self._split:
+            self.initRandomGenerator(0)  # this should only ever called on the master so
+            # the split does not matter
+        
+        if self._use_numpy:
+            self._random.shuffle(vals)
+        else:
+            random.shuffle(vals, self._random)
+
+    def func(self, split, iterator):
+        if self._withReplacement:            
+            for obj in iterator:
+                # For large datasets, the expected number of occurrences of each element in a sample with
+                # replacement is Poisson(frac). We use that to get a count for each element.                                   
+                count = self.getPoissonSample(split, mean = self._fraction)
+                for _ in range(0, count):
+                    yield obj
+        else:
+            for obj in iterator:
+                if self.getUniformSample(split) <= self._fraction:
+                    yield obj
+
+            
+            
+            
diff --git a/python/pyspark/shell.py b/python/pyspark/shell.py
index 9b4b4e78cb..54823f8037 100644
--- a/python/pyspark/shell.py
+++ b/python/pyspark/shell.py
@@ -21,6 +21,7 @@ An interactive shell.
 This file is designed to be launched as a PYTHONSTARTUP script.
 """
 import os
+import platform
 import pyspark
 from pyspark.context import SparkContext
 
@@ -28,6 +29,18 @@ from pyspark.context import SparkContext
 add_files = os.environ.get("ADD_FILES").split(',') if os.environ.get("ADD_FILES") != None else None
 
 sc = SparkContext(os.environ.get("MASTER", "local"), "PySparkShell", pyFiles=add_files)
+
+print """Welcome to
+      ____              __
+     / __/__  ___ _____/ /__
+    _\ \/ _ \/ _ `/ __/  '_/
+   /__ / .__/\_,_/_/ /_/\_\   version 0.8.0
+      /_/
+"""
+print "Using Python version %s (%s, %s)" % (
+    platform.python_version(),
+    platform.python_build()[0],
+    platform.python_build()[1])
 print "Spark context avaiable as sc."
 
 if add_files != None:
diff --git a/python/pyspark/worker.py b/python/pyspark/worker.py
index 695f6dfb84..d63c2aaef7 100644
--- a/python/pyspark/worker.py
+++ b/python/pyspark/worker.py
@@ -21,6 +21,7 @@ Worker that receives input from Piped RDD.
 import os
 import sys
 import time
+import socket
 import traceback
 from base64 import standard_b64decode
 # CloudPickler needs to be imported so that depicklers are registered using the
@@ -94,7 +95,9 @@ def main(infile, outfile):
 
 
 if __name__ == '__main__':
-    # Redirect stdout to stderr so that users must return values from functions.
-    old_stdout = os.fdopen(os.dup(1), 'w')
-    os.dup2(2, 1)
-    main(sys.stdin, old_stdout)
+    # Read a local port to connect to from stdin
+    java_port = int(sys.stdin.readline())
+    sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+    sock.connect(("127.0.0.1", java_port))
+    sock_file = sock.makefile("a+", 65536)
+    main(sock_file, sock_file)
diff --git a/repl-bin/pom.xml b/repl-bin/pom.xml
index 919e35f240..d61b36a61a 100644
--- a/repl-bin/pom.xml
+++ b/repl-bin/pom.xml
@@ -19,17 +19,17 @@
 <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
   <modelVersion>4.0.0</modelVersion>
   <parent>
-    <groupId>org.spark-project</groupId>
+    <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent</artifactId>
     <version>0.8.0-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
-  <groupId>org.spark-project</groupId>
+  <groupId>org.apache.spark</groupId>
   <artifactId>spark-repl-bin</artifactId>
   <packaging>pom</packaging>
   <name>Spark Project REPL binary packaging</name>
-  <url>http://spark-project.org/</url>
+  <url>http://spark.incubator.apache.org/</url>
 
   <properties>
     <deb.pkg.name>spark</deb.pkg.name>
@@ -39,18 +39,18 @@
 
   <dependencies>
     <dependency>
-      <groupId>org.spark-project</groupId>
+      <groupId>org.apache.spark</groupId>
       <artifactId>spark-core</artifactId>
       <version>${project.version}</version>
     </dependency>
     <dependency>
-      <groupId>org.spark-project</groupId>
+      <groupId>org.apache.spark</groupId>
       <artifactId>spark-bagel</artifactId>
       <version>${project.version}</version>
       <scope>runtime</scope>
     </dependency>
     <dependency>
-      <groupId>org.spark-project</groupId>
+      <groupId>org.apache.spark</groupId>
       <artifactId>spark-repl</artifactId>
       <version>${project.version}</version>
       <scope>runtime</scope>
@@ -109,7 +109,7 @@
       <id>hadoop2-yarn</id>
       <dependencies>
         <dependency>
-          <groupId>org.spark-project</groupId>
+          <groupId>org.apache.spark</groupId>
           <artifactId>spark-yarn</artifactId>
           <version>${project.version}</version>
         </dependency>
diff --git a/repl/pom.xml b/repl/pom.xml
index f800664cff..a1c87d7618 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -19,17 +19,17 @@
 <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
   <modelVersion>4.0.0</modelVersion>
   <parent>
-    <groupId>org.spark-project</groupId>
+    <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent</artifactId>
     <version>0.8.0-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
-  <groupId>org.spark-project</groupId>
+  <groupId>org.apache.spark</groupId>
   <artifactId>spark-repl</artifactId>
   <packaging>jar</packaging>
   <name>Spark Project REPL</name>
-  <url>http://spark-project.org/</url>
+  <url>http://spark.incubator.apache.org/</url>
 
   <properties>
     <deb.install.path>/usr/share/spark</deb.install.path>
@@ -38,18 +38,18 @@
 
   <dependencies>
     <dependency>
-      <groupId>org.spark-project</groupId>
+      <groupId>org.apache.spark</groupId>
       <artifactId>spark-core</artifactId>
       <version>${project.version}</version>
     </dependency>
     <dependency>
-      <groupId>org.spark-project</groupId>
+      <groupId>org.apache.spark</groupId>
       <artifactId>spark-bagel</artifactId>
       <version>${project.version}</version>
       <scope>runtime</scope>
     </dependency>
     <dependency>
-      <groupId>org.spark-project</groupId>
+      <groupId>org.apache.spark</groupId>
       <artifactId>spark-mllib</artifactId>
       <version>${project.version}</version>
       <scope>runtime</scope>
@@ -136,7 +136,7 @@
       <id>hadoop2-yarn</id>
       <dependencies>
         <dependency>
-          <groupId>org.spark-project</groupId>
+          <groupId>org.apache.spark</groupId>
           <artifactId>spark-yarn</artifactId>
           <version>${project.version}</version>
         </dependency>
diff --git a/repl/src/main/scala/spark/repl/ExecutorClassLoader.scala b/repl/src/main/scala/org/apache/spark/repl/ExecutorClassLoader.scala
index 274bc585db..3e171849e3 100644
--- a/repl/src/main/scala/spark/repl/ExecutorClassLoader.scala
+++ b/repl/src/main/scala/org/apache/spark/repl/ExecutorClassLoader.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.repl
+package org.apache.spark.repl
 
 import java.io.{ByteArrayOutputStream, InputStream}
 import java.net.{URI, URL, URLClassLoader, URLEncoder}
diff --git a/repl/src/main/scala/spark/repl/Main.scala b/repl/src/main/scala/org/apache/spark/repl/Main.scala
index d824d62fd1..17e149f8ab 100644
--- a/repl/src/main/scala/spark/repl/Main.scala
+++ b/repl/src/main/scala/org/apache/spark/repl/Main.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.repl
+package org.apache.spark.repl
 
 import scala.collection.mutable.Set
 
diff --git a/repl/src/main/scala/org/apache/spark/repl/SparkHelper.scala b/repl/src/main/scala/org/apache/spark/repl/SparkHelper.scala
new file mode 100644
index 0000000000..5340951d91
--- /dev/null
+++ b/repl/src/main/scala/org/apache/spark/repl/SparkHelper.scala
@@ -0,0 +1,22 @@
+/*
+ * 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.
+ */
+
+package scala.tools.nsc
+
+object SparkHelper {
+  def explicitParentLoader(settings: Settings) = settings.explicitParentLoader
+}
diff --git a/repl/src/main/scala/spark/repl/SparkILoop.scala b/repl/src/main/scala/org/apache/spark/repl/SparkILoop.scala
index 0cecbd71ad..193ccb48ee 100644
--- a/repl/src/main/scala/spark/repl/SparkILoop.scala
+++ b/repl/src/main/scala/org/apache/spark/repl/SparkILoop.scala
@@ -3,7 +3,7 @@
  * @author Alexander Spoon
  */
 
-package spark.repl
+package org.apache.spark.repl
 
 import scala.tools.nsc._
 import scala.tools.nsc.interpreter._
@@ -22,8 +22,8 @@ import util.{ ClassPath, Exceptional, stringFromWriter, stringFromStream }
 import interpreter._
 import io.{ File, Sources }
 
-import spark.Logging
-import spark.SparkContext
+import org.apache.spark.Logging
+import org.apache.spark.SparkContext
 
 /** The Scala interactive shell.  It provides a read-eval-print loop
  *  around the Interpreter class.
@@ -816,13 +816,13 @@ class SparkILoop(in0: Option[BufferedReader], val out: PrintWriter, val master:
   def initializeSpark() {
     intp.beQuietDuring {
       command("""
-        spark.repl.Main.interp.out.println("Creating SparkContext...");
-        spark.repl.Main.interp.out.flush();
-        @transient val sc = spark.repl.Main.interp.createSparkContext();
-        spark.repl.Main.interp.out.println("Spark context available as sc.");
-        spark.repl.Main.interp.out.flush();
+        org.apache.spark.repl.Main.interp.out.println("Creating SparkContext...");
+        org.apache.spark.repl.Main.interp.out.flush();
+        @transient val sc = org.apache.spark.repl.Main.interp.createSparkContext();
+        org.apache.spark.repl.Main.interp.out.println("Spark context available as sc.");
+        org.apache.spark.repl.Main.interp.out.flush();
         """)
-      command("import spark.SparkContext._")
+      command("import org.apache.spark.SparkContext._")
     }
     echo("Type in expressions to have them evaluated.")
     echo("Type :help for more information.")
diff --git a/repl/src/main/scala/spark/repl/SparkIMain.scala b/repl/src/main/scala/org/apache/spark/repl/SparkIMain.scala
index 43b6a6c950..e6e35c9b5d 100644
--- a/repl/src/main/scala/spark/repl/SparkIMain.scala
+++ b/repl/src/main/scala/org/apache/spark/repl/SparkIMain.scala
@@ -3,7 +3,7 @@
  * @author  Martin Odersky
  */
 
-package spark.repl
+package org.apache.spark.repl
 
 import scala.tools.nsc._
 import scala.tools.nsc.interpreter._
@@ -27,9 +27,9 @@ import scala.util.control.Exception.{ ultimately }
 import scala.reflect.NameTransformer
 import SparkIMain._
 
-import spark.HttpServer
-import spark.Utils
-import spark.SparkEnv
+import org.apache.spark.HttpServer
+import org.apache.spark.util.Utils
+import org.apache.spark.SparkEnv
 
 /** An interpreter for Scala code.
  *  
@@ -883,7 +883,7 @@ class SparkIMain(val settings: Settings, protected val out: PrintWriter) extends
         val execution = lineManager.set(originalLine) {
           // MATEI: set the right SparkEnv for our SparkContext, because
           // this execution will happen in a separate thread
-          val sc = spark.repl.Main.interp.sparkContext
+          val sc = org.apache.spark.repl.Main.interp.sparkContext
           if (sc != null && sc.env != null)
             SparkEnv.set(sc.env)
           // Execute the line
diff --git a/repl/src/main/scala/spark/repl/SparkISettings.scala b/repl/src/main/scala/org/apache/spark/repl/SparkISettings.scala
index 8ebb01d146..605b7b259b 100644
--- a/repl/src/main/scala/spark/repl/SparkISettings.scala
+++ b/repl/src/main/scala/org/apache/spark/repl/SparkISettings.scala
@@ -3,7 +3,7 @@
  * @author Alexander Spoon
  */
 
-package spark.repl
+package org.apache.spark.repl
 
 import scala.tools.nsc._
 import scala.tools.nsc.interpreter._
diff --git a/repl/src/main/scala/spark/repl/SparkImports.scala b/repl/src/main/scala/org/apache/spark/repl/SparkImports.scala
index 5caf5ca51a..41a1731d60 100644
--- a/repl/src/main/scala/spark/repl/SparkImports.scala
+++ b/repl/src/main/scala/org/apache/spark/repl/SparkImports.scala
@@ -3,7 +3,7 @@
  * @author  Paul Phillips
  */
 
-package spark.repl
+package org.apache.spark.repl
 
 import scala.tools.nsc._
 import scala.tools.nsc.interpreter._
diff --git a/repl/src/main/scala/spark/repl/SparkJLineCompletion.scala b/repl/src/main/scala/org/apache/spark/repl/SparkJLineCompletion.scala
index 0069d8b2f4..fdc172d753 100644
--- a/repl/src/main/scala/spark/repl/SparkJLineCompletion.scala
+++ b/repl/src/main/scala/org/apache/spark/repl/SparkJLineCompletion.scala
@@ -3,7 +3,7 @@
  * @author Paul Phillips
  */
 
-package spark.repl
+package org.apache.spark.repl
 
 import scala.tools.nsc._
 import scala.tools.nsc.interpreter._
diff --git a/repl/src/main/scala/spark/repl/SparkJLineReader.scala b/repl/src/main/scala/org/apache/spark/repl/SparkJLineReader.scala
index ef6b6e092e..d9e1de105c 100644
--- a/repl/src/main/scala/spark/repl/SparkJLineReader.scala
+++ b/repl/src/main/scala/org/apache/spark/repl/SparkJLineReader.scala
@@ -3,7 +3,7 @@
  * @author Stepan Koltsov
  */
 
-package spark.repl
+package org.apache.spark.repl
 
 import scala.tools.nsc._
 import scala.tools.nsc.interpreter._
diff --git a/repl/src/main/scala/spark/repl/SparkMemberHandlers.scala b/repl/src/main/scala/org/apache/spark/repl/SparkMemberHandlers.scala
index 2980dfcd76..a3409bf665 100644
--- a/repl/src/main/scala/spark/repl/SparkMemberHandlers.scala
+++ b/repl/src/main/scala/org/apache/spark/repl/SparkMemberHandlers.scala
@@ -3,7 +3,7 @@
  * @author  Martin Odersky
  */
 
-package spark.repl
+package org.apache.spark.repl
 
 import scala.tools.nsc._
 import scala.tools.nsc.interpreter._
diff --git a/repl/src/main/scala/spark/repl/SparkHelper.scala b/repl/src/main/scala/spark/repl/SparkHelper.scala
deleted file mode 100644
index d8fb7191b4..0000000000
--- a/repl/src/main/scala/spark/repl/SparkHelper.scala
+++ /dev/null
@@ -1,5 +0,0 @@
-package scala.tools.nsc
-
-object SparkHelper {
-  def explicitParentLoader(settings: Settings) = settings.explicitParentLoader
-}
diff --git a/repl/src/test/scala/spark/repl/ReplSuite.scala b/repl/src/test/scala/org/apache/spark/repl/ReplSuite.scala
index 80ae605558..8f9b632c0e 100644
--- a/repl/src/test/scala/spark/repl/ReplSuite.scala
+++ b/repl/src/test/scala/org/apache/spark/repl/ReplSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.repl
+package org.apache.spark.repl
 
 import java.io._
 import java.net.URLClassLoader
@@ -41,10 +41,10 @@ class ReplSuite extends FunSuite {
       }
     }
     val interp = new SparkILoop(in, new PrintWriter(out), master)
-    spark.repl.Main.interp = interp
+    org.apache.spark.repl.Main.interp = interp
     val separator = System.getProperty("path.separator")
     interp.process(Array("-classpath", paths.mkString(separator)))
-    spark.repl.Main.interp = null
+    org.apache.spark.repl.Main.interp = null
     if (interp.sparkContext != null) {
       interp.sparkContext.stop()
     }
diff --git a/run-example b/run-example
index ccd4356bdf..24d83ba5cf 100755
--- a/run-example
+++ b/run-example
@@ -50,7 +50,7 @@ if [ -e "$EXAMPLES_DIR"/target/spark-examples*[0-9T].jar ]; then
 fi
 if [[ -z $SPARK_EXAMPLES_JAR ]]; then
   echo "Failed to find Spark examples assembly in $FWDIR/examples/target" >&2
-  echo "You need to compile Spark before running this program" >&2
+  echo "You need to build Spark with sbt/sbt assembly before running this program" >&2
   exit 1
 fi
 
diff --git a/run-example.cmd b/run-example.cmd
new file mode 100644
index 0000000000..5b2d048d6e
--- /dev/null
+++ b/run-example.cmd
@@ -0,0 +1,23 @@
+@echo off
+
+rem
+rem Licensed to the Apache Software Foundation (ASF) under one or more
+rem contributor license agreements.  See the NOTICE file distributed with
+rem this work for additional information regarding copyright ownership.
+rem The ASF licenses this file to You under the Apache License, Version 2.0
+rem (the "License"); you may not use this file except in compliance with
+rem the License.  You may obtain a copy of the License at
+rem
+rem    http://www.apache.org/licenses/LICENSE-2.0
+rem
+rem Unless required by applicable law or agreed to in writing, software
+rem distributed under the License is distributed on an "AS IS" BASIS,
+rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+rem See the License for the specific language governing permissions and
+rem limitations under the License.
+rem
+
+rem This is the entry point for running a Spark example. To avoid polluting
+rem the environment, it just launches a new cmd to do the real work.
+
+cmd /V /E /C %~dp0run-example2.cmd %*
diff --git a/run-example2.cmd b/run-example2.cmd
new file mode 100644
index 0000000000..dbb371ecfc
--- /dev/null
+++ b/run-example2.cmd
@@ -0,0 +1,61 @@
+@echo off
+
+rem
+rem Licensed to the Apache Software Foundation (ASF) under one or more
+rem contributor license agreements.  See the NOTICE file distributed with
+rem this work for additional information regarding copyright ownership.
+rem The ASF licenses this file to You under the Apache License, Version 2.0
+rem (the "License"); you may not use this file except in compliance with
+rem the License.  You may obtain a copy of the License at
+rem
+rem    http://www.apache.org/licenses/LICENSE-2.0
+rem
+rem Unless required by applicable law or agreed to in writing, software
+rem distributed under the License is distributed on an "AS IS" BASIS,
+rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+rem See the License for the specific language governing permissions and
+rem limitations under the License.
+rem
+
+set SCALA_VERSION=2.9.3
+
+rem Figure out where the Spark framework is installed
+set FWDIR=%~dp0
+
+rem Export this as SPARK_HOME
+set SPARK_HOME=%FWDIR%
+
+rem Load environment variables from conf\spark-env.cmd, if it exists
+if exist "%FWDIR%conf\spark-env.cmd" call "%FWDIR%conf\spark-env.cmd"
+
+rem Test that an argument was given
+if not "x%1"=="x" goto arg_given
+  echo Usage: run-example ^<example-class^> [^<args^>]
+  goto exit
+:arg_given
+
+set EXAMPLES_DIR=%FWDIR%examples
+
+rem Figure out the JAR file that our examples were packaged into.
+set SPARK_EXAMPLES_JAR=
+for %%d in ("%EXAMPLES_DIR%\target\scala-%SCALA_VERSION%\spark-examples*assembly*.jar") do (
+  set SPARK_EXAMPLES_JAR=%%d
+)
+if "x%SPARK_EXAMPLES_JAR%"=="x" (
+  echo Failed to find Spark examples assembly JAR.
+  echo You need to build Spark with sbt\sbt assembly before running this program.
+  goto exit
+)
+
+rem Compute Spark classpath using external script
+set DONT_PRINT_CLASSPATH=1
+call "%FWDIR%bin\compute-classpath.cmd"
+set DONT_PRINT_CLASSPATH=0
+set CLASSPATH=%SPARK_EXAMPLES_JAR%;%CLASSPATH%
+
+rem Figure out where java is.
+set RUNNER=java
+if not "x%JAVA_HOME%"=="x" set RUNNER=%JAVA_HOME%\bin\java
+
+"%RUNNER%" -cp "%CLASSPATH%" %JAVA_OPTS% %*
+:exit
diff --git a/sbt/sbt.cmd b/sbt/sbt.cmd
index 56a16d77f2..681fe00f92 100644
--- a/sbt/sbt.cmd
+++ b/sbt/sbt.cmd
@@ -22,4 +22,4 @@ if not "%MESOS_HOME%x"=="x" set EXTRA_ARGS=-Djava.library.path=%MESOS_HOME%\lib\
 
 set SPARK_HOME=%~dp0..
 
-java -Xmx1200M -XX:MaxPermSize=200m %EXTRA_ARGS% -jar %SPARK_HOME%\sbt\sbt-launch-0.11.3-2.jar "%*"
+java -Xmx1200M -XX:MaxPermSize=200m -XX:ReservedCodeCacheSize=256m %EXTRA_ARGS% -jar %SPARK_HOME%\sbt\sbt-launch-0.11.3-2.jar "%*"
diff --git a/spark-class b/spark-class
index 5ef3de9773..037abda3b7 100755
--- a/spark-class
+++ b/spark-class
@@ -31,7 +31,7 @@ if [ -e $FWDIR/conf/spark-env.sh ] ; then
 fi
 
 if [ -z "$1" ]; then
-  echo "Usage: run <spark-class> [<args>]" >&2
+  echo "Usage: spark-class <class> [<args>]" >&2
   exit 1
 fi
 
@@ -77,13 +77,6 @@ else
     exit 1
   fi
 fi
-if [[ ! -f "$FWDIR/RELEASE" && -z "$SCALA_LIBRARY_PATH" ]]; then
-  if [ -z "$SCALA_HOME" ]; then
-    echo "SCALA_HOME is not set" >&2
-    exit 1
-  fi
-  SCALA_LIBRARY_PATH="$SCALA_HOME/lib"
-fi
 
 # Set SPARK_MEM if it isn't already set since we also use it for this process
 SPARK_MEM=${SPARK_MEM:-512m}
@@ -102,10 +95,10 @@ export JAVA_OPTS
 
 if [ ! -f "$FWDIR/RELEASE" ]; then
   # Exit if the user hasn't compiled Spark
-  ls "$FWDIR"/assembly/target/scala-$SCALA_VERSION/spark-assembly*.jar >& /dev/null
+  ls "$FWDIR"/assembly/target/scala-$SCALA_VERSION/spark-assembly*hadoop*.jar >& /dev/null
   if [[ $? != 0 ]]; then
     echo "Failed to find Spark assembly in $FWDIR/assembly/target" >&2
-    echo "You need to compile Spark before running this program" >&2
+    echo "You need to build Spark with sbt/sbt assembly before running this program" >&2
     exit 1
   fi
 fi
diff --git a/spark-class.cmd b/spark-class.cmd
new file mode 100644
index 0000000000..19850db9e1
--- /dev/null
+++ b/spark-class.cmd
@@ -0,0 +1,23 @@
+@echo off
+
+rem
+rem Licensed to the Apache Software Foundation (ASF) under one or more
+rem contributor license agreements.  See the NOTICE file distributed with
+rem this work for additional information regarding copyright ownership.
+rem The ASF licenses this file to You under the Apache License, Version 2.0
+rem (the "License"); you may not use this file except in compliance with
+rem the License.  You may obtain a copy of the License at
+rem
+rem    http://www.apache.org/licenses/LICENSE-2.0
+rem
+rem Unless required by applicable law or agreed to in writing, software
+rem distributed under the License is distributed on an "AS IS" BASIS,
+rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+rem See the License for the specific language governing permissions and
+rem limitations under the License.
+rem
+
+rem This is the entry point for running a Spark class. To avoid polluting
+rem the environment, it just launches a new cmd to do the real work.
+
+cmd /V /E /C %~dp0spark-class2.cmd %*
diff --git a/run2.cmd b/spark-class2.cmd
index dc5e50931e..d4d853e8ad 100644
--- a/run2.cmd
+++ b/spark-class2.cmd
@@ -30,7 +30,7 @@ if exist "%FWDIR%conf\spark-env.cmd" call "%FWDIR%conf\spark-env.cmd"
 
 rem Test that an argument was given
 if not "x%1"=="x" goto arg_given
-  echo Usage: run ^<spark-class^> [^<args^>]
+  echo Usage: spark-class ^<class^> [^<args^>]
   goto exit
 :arg_given
 
@@ -44,12 +44,6 @@ rem Do not overwrite SPARK_JAVA_OPTS environment variable in this script
 if "%RUNNING_DAEMON%"=="0" set OUR_JAVA_OPTS=%SPARK_JAVA_OPTS%
 if "%RUNNING_DAEMON%"=="1" set OUR_JAVA_OPTS=%SPARK_DAEMON_JAVA_OPTS%
 
-rem Check that SCALA_HOME has been specified
-if not "x%SCALA_HOME%"=="x" goto scala_exists
-  echo SCALA_HOME is not set
-  goto exit
-:scala_exists
-
 rem Figure out how much memory to use per executor and set it as an environment
 rem variable so that our process sees it and can report it to Mesos
 if "x%SPARK_MEM%"=="x" set SPARK_MEM=512m
@@ -58,43 +52,27 @@ rem Set JAVA_OPTS to be able to load native libraries and to set heap size
 set JAVA_OPTS=%OUR_JAVA_OPTS% -Djava.library.path=%SPARK_LIBRARY_PATH% -Xms%SPARK_MEM% -Xmx%SPARK_MEM%
 rem Attention: when changing the way the JAVA_OPTS are assembled, the change must be reflected in ExecutorRunner.scala!
 
-set CORE_DIR=%FWDIR%core
-set EXAMPLES_DIR=%FWDIR%examples
-set REPL_DIR=%FWDIR%repl
+rem Test whether the user has built Spark
+if exist "%FWDIR%RELEASE" goto skip_build_test
+set FOUND_JAR=0
+for %%d in ("%FWDIR%assembly\target\scala-%SCALA_VERSION%\spark-assembly*hadoop*.jar") do (
+  set FOUND_JAR=1
+)
+if "%FOUND_JAR%"=="0" (
+  echo Failed to find Spark assembly JAR.
+  echo You need to build Spark with sbt\sbt assembly before running this program.
+  goto exit
+)
+:skip_build_test
 
 rem Compute classpath using external script
 set DONT_PRINT_CLASSPATH=1
 call "%FWDIR%bin\compute-classpath.cmd"
 set DONT_PRINT_CLASSPATH=0
 
-rem Figure out the JAR file that our examples were packaged into.
-rem First search in the build path from SBT:
-for %%d in ("examples/target/scala-%SCALA_VERSION%/spark-examples*.jar") do (
-  set SPARK_EXAMPLES_JAR=examples/target/scala-%SCALA_VERSION%/%%d
-)
-rem Then search in the build path from Maven:
-for %%d in ("examples/target/spark-examples*hadoop*.jar") do (
-  set SPARK_EXAMPLES_JAR=examples/target/%%d
-)
-
-rem Figure out whether to run our class with java or with the scala launcher.
-rem In most cases, we'd prefer to execute our process with java because scala
-rem creates a shell script as the parent of its Java process, which makes it
-rem hard to kill the child with stuff like Process.destroy(). However, for
-rem the Spark shell, the wrapper is necessary to properly reset the terminal
-rem when we exit, so we allow it to set a variable to launch with scala.
-if "%SPARK_LAUNCH_WITH_SCALA%" NEQ 1 goto java_runner
-  set RUNNER=%SCALA_HOME%\bin\scala
-  # Java options will be passed to scala as JAVA_OPTS
-  set EXTRA_ARGS=
-  goto run_spark
-:java_runner
-  set CLASSPATH=%CLASSPATH%;%SCALA_HOME%\lib\scala-library.jar;%SCALA_HOME%\lib\scala-compiler.jar;%SCALA_HOME%\lib\jline.jar
-  set RUNNER=java
-  if not "x%JAVA_HOME%"=="x" set RUNNER=%JAVA_HOME%\bin\java
-  rem The JVM doesn't read JAVA_OPTS by default so we need to pass it in
-  set EXTRA_ARGS=%JAVA_OPTS%
-:run_spark
+rem Figure out where java is.
+set RUNNER=java
+if not "x%JAVA_HOME%"=="x" set RUNNER=%JAVA_HOME%\bin\java
 
-"%RUNNER%" -cp "%CLASSPATH%" %EXTRA_ARGS% %*
+"%RUNNER%" -cp "%CLASSPATH%" %JAVA_OPTS% %*
 :exit
diff --git a/spark-executor b/spark-executor
index 63692bd46c..2c07c54843 100755
--- a/spark-executor
+++ b/spark-executor
@@ -19,4 +19,4 @@
 
 FWDIR="`dirname $0`"
 echo "Running spark-executor with framework dir = $FWDIR"
-exec $FWDIR/spark-class spark.executor.MesosExecutorBackend
+exec $FWDIR/spark-class org.apache.spark.executor.MesosExecutorBackend
diff --git a/spark-shell b/spark-shell
index 4d379c5cfb..9608bd3f30 100755
--- a/spark-shell
+++ b/spark-shell
@@ -79,7 +79,7 @@ if [[ ! $? ]]; then
   saved_stty=""
 fi
 
-$FWDIR/spark-class $OPTIONS spark.repl.Main "$@"
+$FWDIR/spark-class $OPTIONS org.apache.spark.repl.Main "$@"
 
 # record the exit status lest it be overwritten:
 # then reenable echo and propagate the code.
diff --git a/spark-shell.cmd b/spark-shell.cmd
index ec65eabb74..3e52bf835e 100644
--- a/spark-shell.cmd
+++ b/spark-shell.cmd
@@ -18,5 +18,5 @@ rem limitations under the License.
 rem
 
 set FWDIR=%~dp0
-set SPARK_LAUNCH_WITH_SCALA=1
-cmd /V /E /C %FWDIR%run2.cmd spark.repl.Main %*
+
+cmd /V /E /C %FWDIR%spark-class2.cmd org.apache.spark.repl.Main %*
diff --git a/streaming/pom.xml b/streaming/pom.xml
index 5c0582d6fb..7bea069b61 100644
--- a/streaming/pom.xml
+++ b/streaming/pom.xml
@@ -19,17 +19,17 @@
 <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
   <modelVersion>4.0.0</modelVersion>
   <parent>
-    <groupId>org.spark-project</groupId>
+    <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent</artifactId>
     <version>0.8.0-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
-  <groupId>org.spark-project</groupId>
+  <groupId>org.apache.spark</groupId>
   <artifactId>spark-streaming</artifactId>
   <packaging>jar</packaging>
   <name>Spark Project Streaming</name>
-  <url>http://spark-project.org/</url>
+  <url>http://spark.incubator.apache.org/</url>
 
   <repositories>
     <!-- A repository in the local filesystem for the Kafka JAR, which we modified for Scala 2.9 -->
@@ -41,7 +41,7 @@
 
   <dependencies>
     <dependency>
-      <groupId>org.spark-project</groupId>
+      <groupId>org.apache.spark</groupId>
       <artifactId>spark-core</artifactId>
       <version>${project.version}</version>
     </dependency>
diff --git a/streaming/src/main/scala/spark/streaming/Checkpoint.scala b/streaming/src/main/scala/org/apache/spark/streaming/Checkpoint.scala
index 070d930b5e..2d8f072624 100644
--- a/streaming/src/main/scala/spark/streaming/Checkpoint.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/Checkpoint.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.streaming
+package org.apache.spark.streaming
 
 import java.io._
 import java.util.concurrent.Executors
@@ -24,8 +24,8 @@ import java.util.concurrent.RejectedExecutionException
 import org.apache.hadoop.fs.Path
 import org.apache.hadoop.conf.Configuration
 
-import spark.Logging
-import spark.io.CompressionCodec
+import org.apache.spark.Logging
+import org.apache.spark.io.CompressionCodec
 
 
 private[streaming]
diff --git a/streaming/src/main/scala/spark/streaming/DStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/DStream.scala
index 684d3abb56..80da6bd30b 100644
--- a/streaming/src/main/scala/spark/streaming/DStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/DStream.scala
@@ -15,14 +15,17 @@
  * limitations under the License.
  */
 
-package spark.streaming
+package org.apache.spark.streaming
 
-import spark.streaming.dstream._
+import org.apache.spark.streaming.dstream._
 import StreamingContext._
+import org.apache.spark.util.MetadataCleaner
+
 //import Time._
 
-import spark.{RDD, Logging}
-import spark.storage.StorageLevel
+import org.apache.spark.Logging
+import org.apache.spark.rdd.RDD
+import org.apache.spark.storage.StorageLevel
 
 import scala.collection.mutable.ArrayBuffer
 import scala.collection.mutable.HashMap
@@ -34,7 +37,7 @@ import org.apache.hadoop.conf.Configuration
 
 /**
  * A Discretized Stream (DStream), the basic abstraction in Spark Streaming, is a continuous
- * sequence of RDDs (of the same type) representing a continuous stream of data (see [[spark.RDD]]
+ * sequence of RDDs (of the same type) representing a continuous stream of data (see [[org.apache.spark.RDD]]
  * for more details on RDDs). DStreams can either be created from live data (such as, data from
  * HDFS, Kafka or Flume) or it can be generated by transformation existing DStreams using operations
  * such as `map`, `window` and `reduceByKeyAndWindow`. While a Spark Streaming program is running, each
@@ -42,7 +45,7 @@ import org.apache.hadoop.conf.Configuration
  * by a parent DStream.
  *
  * This class contains the basic operations available on all DStreams, such as `map`, `filter` and
- * `window`. In addition, [[spark.streaming.PairDStreamFunctions]] contains operations available
+ * `window`. In addition, [[org.apache.spark.streaming.PairDStreamFunctions]] contains operations available
  * only on DStreams of key-value pairs, such as `groupByKeyAndWindow` and `join`. These operations
  * are automatically available on any DStream of the right type (e.g., DStream[(Int, Int)] through
  * implicit conversions when `spark.streaming.StreamingContext._` is imported.
@@ -209,7 +212,7 @@ abstract class DStream[T: ClassManifest] (
         checkpointDuration + "). Please set it to higher than " + checkpointDuration + "."
     )
 
-    val metadataCleanerDelay = spark.util.MetadataCleaner.getDelaySeconds
+    val metadataCleanerDelay = MetadataCleaner.getDelaySeconds
     logInfo("metadataCleanupDelay = " + metadataCleanerDelay)
     assert(
       metadataCleanerDelay < 0 || rememberDuration.milliseconds < metadataCleanerDelay * 1000,
diff --git a/streaming/src/main/scala/spark/streaming/DStreamCheckpointData.scala b/streaming/src/main/scala/org/apache/spark/streaming/DStreamCheckpointData.scala
index 399ca1c63d..58a0da2870 100644
--- a/streaming/src/main/scala/spark/streaming/DStreamCheckpointData.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/DStreamCheckpointData.scala
@@ -15,13 +15,13 @@
  * limitations under the License.
  */
 
-package spark.streaming
+package org.apache.spark.streaming
 
 import org.apache.hadoop.fs.Path
 import org.apache.hadoop.fs.FileSystem
 import org.apache.hadoop.conf.Configuration
 import collection.mutable.HashMap
-import spark.Logging
+import org.apache.spark.Logging
 
 
 
diff --git a/streaming/src/main/scala/spark/streaming/DStreamGraph.scala b/streaming/src/main/scala/org/apache/spark/streaming/DStreamGraph.scala
index c09a332d44..b9a58fded6 100644
--- a/streaming/src/main/scala/spark/streaming/DStreamGraph.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/DStreamGraph.scala
@@ -15,12 +15,12 @@
  * limitations under the License.
  */
 
-package spark.streaming
+package org.apache.spark.streaming
 
 import dstream.InputDStream
 import java.io.{ObjectInputStream, IOException, ObjectOutputStream}
 import collection.mutable.ArrayBuffer
-import spark.Logging
+import org.apache.spark.Logging
 
 final private[streaming] class DStreamGraph extends Serializable with Logging {
   initLogging()
diff --git a/streaming/src/main/scala/spark/streaming/Duration.scala b/streaming/src/main/scala/org/apache/spark/streaming/Duration.scala
index 12a14e233d..6bf275f5af 100644
--- a/streaming/src/main/scala/spark/streaming/Duration.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/Duration.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.streaming
+package org.apache.spark.streaming
 
-import spark.Utils
+import org.apache.spark.util.Utils
 
 case class Duration (private val millis: Long) {
 
@@ -57,7 +57,7 @@ case class Duration (private val millis: Long) {
 }
 
 /**
- * Helper object that creates instance of [[spark.streaming.Duration]] representing
+ * Helper object that creates instance of [[org.apache.spark.streaming.Duration]] representing
  * a given number of milliseconds.
  */
 object Milliseconds {
@@ -65,7 +65,7 @@ object Milliseconds {
 }
 
 /**
- * Helper object that creates instance of [[spark.streaming.Duration]] representing
+ * Helper object that creates instance of [[org.apache.spark.streaming.Duration]] representing
  * a given number of seconds.
  */
 object Seconds {
@@ -73,7 +73,7 @@ object Seconds {
 }
 
 /**
- * Helper object that creates instance of [[spark.streaming.Duration]] representing
+ * Helper object that creates instance of [[org.apache.spark.streaming.Duration]] representing
  * a given number of minutes.
  */
 object Minutes {
diff --git a/streaming/src/main/scala/spark/streaming/Interval.scala b/streaming/src/main/scala/org/apache/spark/streaming/Interval.scala
index b30cd969e9..04c994c136 100644
--- a/streaming/src/main/scala/spark/streaming/Interval.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/Interval.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.streaming
+package org.apache.spark.streaming
 
 private[streaming]
 class Interval(val beginTime: Time, val endTime: Time) {
diff --git a/streaming/src/main/scala/spark/streaming/Job.scala b/streaming/src/main/scala/org/apache/spark/streaming/Job.scala
index ceb3f92b65..2128b7c7a6 100644
--- a/streaming/src/main/scala/spark/streaming/Job.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/Job.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.streaming
+package org.apache.spark.streaming
 
 import java.util.concurrent.atomic.AtomicLong
 
diff --git a/streaming/src/main/scala/spark/streaming/JobManager.scala b/streaming/src/main/scala/org/apache/spark/streaming/JobManager.scala
index a31230689f..5233129506 100644
--- a/streaming/src/main/scala/spark/streaming/JobManager.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/JobManager.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.streaming
+package org.apache.spark.streaming
 
-import spark.Logging 
-import spark.SparkEnv
+import org.apache.spark.Logging
+import org.apache.spark.SparkEnv
 import java.util.concurrent.Executors
 import collection.mutable.HashMap
 import collection.mutable.ArrayBuffer
diff --git a/streaming/src/main/scala/spark/streaming/NetworkInputTracker.scala b/streaming/src/main/scala/org/apache/spark/streaming/NetworkInputTracker.scala
index d4cf2e568c..aae79a4e6f 100644
--- a/streaming/src/main/scala/spark/streaming/NetworkInputTracker.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/NetworkInputTracker.scala
@@ -15,13 +15,13 @@
  * limitations under the License.
  */
 
-package spark.streaming
+package org.apache.spark.streaming
 
-import spark.streaming.dstream.{NetworkInputDStream, NetworkReceiver}
-import spark.streaming.dstream.{StopReceiver, ReportBlock, ReportError}
-import spark.Logging
-import spark.SparkEnv
-import spark.SparkContext._
+import org.apache.spark.streaming.dstream.{NetworkInputDStream, NetworkReceiver}
+import org.apache.spark.streaming.dstream.{StopReceiver, ReportBlock, ReportError}
+import org.apache.spark.Logging
+import org.apache.spark.SparkEnv
+import org.apache.spark.SparkContext._
 
 import scala.collection.mutable.HashMap
 import scala.collection.mutable.Queue
diff --git a/streaming/src/main/scala/spark/streaming/PairDStreamFunctions.scala b/streaming/src/main/scala/org/apache/spark/streaming/PairDStreamFunctions.scala
index 47bf07bee1..757bc98981 100644
--- a/streaming/src/main/scala/spark/streaming/PairDStreamFunctions.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/PairDStreamFunctions.scala
@@ -15,16 +15,17 @@
  * limitations under the License.
  */
 
-package spark.streaming
+package org.apache.spark.streaming
 
-import spark.streaming.StreamingContext._
-import spark.streaming.dstream.{ReducedWindowedDStream, StateDStream}
-import spark.streaming.dstream.{CoGroupedDStream, ShuffledDStream}
-import spark.streaming.dstream.{MapValuedDStream, FlatMapValuedDStream}
+import org.apache.spark.streaming.StreamingContext._
+import org.apache.spark.streaming.dstream.{ReducedWindowedDStream, StateDStream}
+import org.apache.spark.streaming.dstream.{CoGroupedDStream, ShuffledDStream}
+import org.apache.spark.streaming.dstream.{MapValuedDStream, FlatMapValuedDStream}
 
-import spark.{Manifests, RDD, Partitioner, HashPartitioner}
-import spark.SparkContext._
-import spark.storage.StorageLevel
+import org.apache.spark.{Partitioner, HashPartitioner}
+import org.apache.spark.SparkContext._
+import org.apache.spark.rdd.{Manifests, RDD, PairRDDFunctions}
+import org.apache.spark.storage.StorageLevel
 
 import scala.collection.mutable.ArrayBuffer
 
@@ -60,7 +61,7 @@ extends Serializable {
   }
 
   /**
-   * Return a new DStream by applying `groupByKey` on each RDD. The supplied [[spark.Partitioner]]
+   * Return a new DStream by applying `groupByKey` on each RDD. The supplied [[org.apache.spark.Partitioner]]
    * is used to control the partitioning of each RDD.
    */
   def groupByKey(partitioner: Partitioner): DStream[(K, Seq[V])] = {
@@ -91,7 +92,7 @@ extends Serializable {
 
   /**
    * Return a new DStream by applying `reduceByKey` to each RDD. The values for each key are
-   * merged using the supplied reduce function. [[spark.Partitioner]] is used to control the
+   * merged using the supplied reduce function. [[org.apache.spark.Partitioner]] is used to control the
    * partitioning of each RDD.
    */
   def reduceByKey(reduceFunc: (V, V) => V, partitioner: Partitioner): DStream[(K, V)] = {
@@ -101,8 +102,8 @@ extends Serializable {
 
   /**
    * Combine elements of each key in DStream's RDDs using custom functions. This is similar to the
-   * combineByKey for RDDs. Please refer to combineByKey in [[spark.PairRDDFunctions]] for more
-   * information.
+   * combineByKey for RDDs. Please refer to combineByKey in
+   * [[org.apache.spark.rdd.PairRDDFunctions]] for more information.
    */
   def combineByKey[C: ClassManifest](
     createCombiner: V => C,
@@ -360,7 +361,7 @@ extends Serializable {
   /**
    * Create a new "state" DStream where the state for each key is updated by applying
    * the given function on the previous state of the key and the new values of the key.
-   * [[spark.Partitioner]] is used to control the partitioning of each RDD.
+   * [[org.apache.spark.Partitioner]] is used to control the partitioning of each RDD.
    * @param updateFunc State update function. If `this` function returns None, then
    *                   corresponding state key-value pair will be eliminated.
    * @param partitioner Partitioner for controlling the partitioning of each RDD in the new DStream.
@@ -379,7 +380,7 @@ extends Serializable {
   /**
    * Return a new "state" DStream where the state for each key is updated by applying
    * the given function on the previous state of the key and the new values of each key.
-   * [[spark.Paxrtitioner]] is used to control the partitioning of each RDD.
+   * [[org.apache.spark.Partitioner]] is used to control the partitioning of each RDD.
    * @param updateFunc State update function. If `this` function returns None, then
    *                   corresponding state key-value pair will be eliminated. Note, that
    *                   this function may generate a different a tuple with a different key
diff --git a/streaming/src/main/scala/spark/streaming/Scheduler.scala b/streaming/src/main/scala/org/apache/spark/streaming/Scheduler.scala
index 252cc2a303..ed892e33e6 100644
--- a/streaming/src/main/scala/spark/streaming/Scheduler.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/Scheduler.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.streaming
+package org.apache.spark.streaming
 
 import util.{ManualClock, RecurringTimer, Clock}
-import spark.SparkEnv
-import spark.Logging
+import org.apache.spark.SparkEnv
+import org.apache.spark.Logging
 
 private[streaming]
 class Scheduler(ssc: StreamingContext) extends Logging {
@@ -34,7 +34,8 @@ class Scheduler(ssc: StreamingContext) extends Logging {
     null
   }
 
-  val clockClass = System.getProperty("spark.streaming.clock", "spark.streaming.util.SystemClock")
+  val clockClass = System.getProperty(
+    "spark.streaming.clock", "org.apache.spark.streaming.util.SystemClock")
   val clock = Class.forName(clockClass).newInstance().asInstanceOf[Clock]
   val timer = new RecurringTimer(clock, ssc.graph.batchDuration.milliseconds,
     longTime => generateJobs(new Time(longTime)))
diff --git a/streaming/src/main/scala/spark/streaming/StreamingContext.scala b/streaming/src/main/scala/org/apache/spark/streaming/StreamingContext.scala
index 62c95b573a..878725c705 100644
--- a/streaming/src/main/scala/spark/streaming/StreamingContext.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/StreamingContext.scala
@@ -15,21 +15,22 @@
  * limitations under the License.
  */
 
-package spark.streaming
+package org.apache.spark.streaming
 
 import akka.actor.Props
 import akka.actor.SupervisorStrategy
 import akka.zeromq.Subscribe
 
-import spark.streaming.dstream._
+import org.apache.spark.streaming.dstream._
 
-import spark._
-import spark.streaming.receivers.ActorReceiver
-import spark.streaming.receivers.ReceiverSupervisorStrategy
-import spark.streaming.receivers.ZeroMQReceiver
-import spark.storage.StorageLevel
-import spark.util.MetadataCleaner
-import spark.streaming.receivers.ActorReceiver
+import org.apache.spark._
+import org.apache.spark.rdd.RDD
+import org.apache.spark.streaming.receivers.ActorReceiver
+import org.apache.spark.streaming.receivers.ReceiverSupervisorStrategy
+import org.apache.spark.streaming.receivers.ZeroMQReceiver
+import org.apache.spark.storage.StorageLevel
+import org.apache.spark.util.MetadataCleaner
+import org.apache.spark.streaming.receivers.ActorReceiver
 
 import scala.collection.mutable.Queue
 import scala.collection.Map
diff --git a/streaming/src/main/scala/spark/streaming/Time.scala b/streaming/src/main/scala/org/apache/spark/streaming/Time.scala
index ad5eab9dd2..2678334f53 100644
--- a/streaming/src/main/scala/spark/streaming/Time.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/Time.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.streaming
+package org.apache.spark.streaming
 
 /**
  * This is a simple class that represents an absolute instant of time.
diff --git a/streaming/src/main/scala/spark/streaming/api/java/JavaDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaDStream.scala
index 7dcb1d713d..d1932b6b05 100644
--- a/streaming/src/main/scala/spark/streaming/api/java/JavaDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaDStream.scala
@@ -15,17 +15,17 @@
  * limitations under the License.
  */
 
-package spark.streaming.api.java
+package org.apache.spark.streaming.api.java
 
-import spark.streaming.{Duration, Time, DStream}
-import spark.api.java.function.{Function => JFunction}
-import spark.api.java.JavaRDD
-import spark.storage.StorageLevel
-import spark.RDD
+import org.apache.spark.streaming.{Duration, Time, DStream}
+import org.apache.spark.api.java.function.{Function => JFunction}
+import org.apache.spark.api.java.JavaRDD
+import org.apache.spark.storage.StorageLevel
+import org.apache.spark.rdd.RDD
 
 /**
  * A Discretized Stream (DStream), the basic abstraction in Spark Streaming, is a continuous
- * sequence of RDDs (of the same type) representing a continuous stream of data (see [[spark.RDD]]
+ * sequence of RDDs (of the same type) representing a continuous stream of data (see [[org.apache.spark.RDD]]
  * for more details on RDDs). DStreams can either be created from live data (such as, data from
  * HDFS, Kafka or Flume) or it can be generated by transformation existing DStreams using operations
  * such as `map`, `window` and `reduceByKeyAndWindow`. While a Spark Streaming program is running, each
@@ -33,7 +33,7 @@ import spark.RDD
  * by a parent DStream.
  *
  * This class contains the basic operations available on all DStreams, such as `map`, `filter` and
- * `window`. In addition, [[spark.streaming.api.java.JavaPairDStream]] contains operations available
+ * `window`. In addition, [[org.apache.spark.streaming.api.java.JavaPairDStream]] contains operations available
  * only on DStreams of key-value pairs, such as `groupByKeyAndWindow` and `join`.
  *
  * DStreams internally is characterized by a few basic properties:
diff --git a/streaming/src/main/scala/spark/streaming/api/java/JavaDStreamLike.scala b/streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaDStreamLike.scala
index 3ab5c1fdde..459695b7ca 100644
--- a/streaming/src/main/scala/spark/streaming/api/java/JavaDStreamLike.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaDStreamLike.scala
@@ -15,18 +15,18 @@
  * limitations under the License.
  */
 
-package spark.streaming.api.java
+package org.apache.spark.streaming.api.java
 
 import java.util.{List => JList}
 import java.lang.{Long => JLong}
 
 import scala.collection.JavaConversions._
 
-import spark.streaming._
-import spark.api.java.{JavaPairRDD, JavaRDDLike, JavaRDD}
-import spark.api.java.function.{Function2 => JFunction2, Function => JFunction, _}
+import org.apache.spark.streaming._
+import org.apache.spark.api.java.{JavaPairRDD, JavaRDDLike, JavaRDD}
+import org.apache.spark.api.java.function.{Function2 => JFunction2, Function => JFunction, _}
 import java.util
-import spark.RDD
+import org.apache.spark.rdd.RDD
 import JavaDStream._
 
 trait JavaDStreamLike[T, This <: JavaDStreamLike[T, This, R], R <: JavaRDDLike[T, R]]
diff --git a/streaming/src/main/scala/spark/streaming/api/java/JavaPairDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaPairDStream.scala
index ea08fb3826..978fca33ad 100644
--- a/streaming/src/main/scala/spark/streaming/api/java/JavaPairDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaPairDStream.scala
@@ -15,24 +15,25 @@
  * limitations under the License.
  */
 
-package spark.streaming.api.java
+package org.apache.spark.streaming.api.java
 
 import java.util.{List => JList}
 import java.lang.{Long => JLong}
 
 import scala.collection.JavaConversions._
 
-import spark.streaming._
-import spark.streaming.StreamingContext._
-import spark.api.java.function.{Function => JFunction, Function2 => JFunction2}
-import spark.{RDD, Partitioner}
+import org.apache.spark.streaming._
+import org.apache.spark.streaming.StreamingContext._
+import org.apache.spark.api.java.function.{Function => JFunction, Function2 => JFunction2}
+import org.apache.spark.Partitioner
 import org.apache.hadoop.mapred.{JobConf, OutputFormat}
 import org.apache.hadoop.mapreduce.{OutputFormat => NewOutputFormat}
 import org.apache.hadoop.conf.Configuration
-import spark.api.java.{JavaUtils, JavaRDD, JavaPairRDD}
-import spark.storage.StorageLevel
+import org.apache.spark.api.java.{JavaUtils, JavaRDD, JavaPairRDD}
+import org.apache.spark.storage.StorageLevel
 import com.google.common.base.Optional
-import spark.RDD
+import org.apache.spark.rdd.RDD
+import org.apache.spark.rdd.PairRDDFunctions
 
 class JavaPairDStream[K, V](val dstream: DStream[(K, V)])(
     implicit val kManifiest: ClassManifest[K],
@@ -114,7 +115,7 @@ class JavaPairDStream[K, V](val dstream: DStream[(K, V)])(
   /**
    * Return a new DStream by applying `groupByKey` on each RDD of `this` DStream.
    * Therefore, the values for each key in `this` DStream's RDDs are grouped into a
-   * single sequence to generate the RDDs of the new DStream. [[spark.Partitioner]]
+   * single sequence to generate the RDDs of the new DStream. [[org.apache.spark.Partitioner]]
    * is used to control the partitioning of each RDD.
    */
   def groupByKey(partitioner: Partitioner): JavaPairDStream[K, JList[V]] =
@@ -138,7 +139,7 @@ class JavaPairDStream[K, V](val dstream: DStream[(K, V)])(
 
   /**
    * Return a new DStream by applying `reduceByKey` to each RDD. The values for each key are
-   * merged using the supplied reduce function. [[spark.Partitioner]] is used to control the
+   * merged using the supplied reduce function. [[org.apache.spark.Partitioner]] is used to control the
    * partitioning of each RDD.
    */
   def reduceByKey(func: JFunction2[V, V, V], partitioner: Partitioner): JavaPairDStream[K, V] = {
@@ -147,7 +148,7 @@ class JavaPairDStream[K, V](val dstream: DStream[(K, V)])(
 
   /**
    * Combine elements of each key in DStream's RDDs using custom function. This is similar to the
-   * combineByKey for RDDs. Please refer to combineByKey in [[spark.PairRDDFunctions]] for more
+   * combineByKey for RDDs. Please refer to combineByKey in [[PairRDDFunctions]] for more
    * information.
    */
   def combineByKey[C](createCombiner: JFunction[V, C],
@@ -445,7 +446,7 @@ class JavaPairDStream[K, V](val dstream: DStream[(K, V)])(
   /**
    * Create a new "state" DStream where the state for each key is updated by applying
    * the given function on the previous state of the key and the new values of the key.
-   * [[spark.Partitioner]] is used to control the partitioning of each RDD.
+   * [[org.apache.spark.Partitioner]] is used to control the partitioning of each RDD.
    * @param updateFunc State update function. If `this` function returns None, then
    *                   corresponding state key-value pair will be eliminated.
    * @param partitioner Partitioner for controlling the partitioning of each RDD in the new DStream.
diff --git a/streaming/src/main/scala/spark/streaming/api/java/JavaStreamingContext.scala b/streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaStreamingContext.scala
index b7720ad0ea..54ba3e6025 100644
--- a/streaming/src/main/scala/spark/streaming/api/java/JavaStreamingContext.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaStreamingContext.scala
@@ -15,25 +15,29 @@
  * limitations under the License.
  */
 
-package spark.streaming.api.java
-
-import spark.streaming._
-import receivers.{ActorReceiver, ReceiverSupervisorStrategy}
-import spark.streaming.dstream._
-import spark.storage.StorageLevel
-import spark.api.java.function.{Function => JFunction, Function2 => JFunction2}
-import spark.api.java.{JavaSparkContext, JavaRDD}
+package org.apache.spark.streaming.api.java
+
+import java.lang.{Long => JLong, Integer => JInt}
+import java.io.InputStream
+import java.util.{Map => JMap}
+
+import scala.collection.JavaConversions._
+
 import org.apache.hadoop.mapreduce.{InputFormat => NewInputFormat}
 import twitter4j.Status
 import akka.actor.Props
 import akka.actor.SupervisorStrategy
 import akka.zeromq.Subscribe
-import scala.collection.JavaConversions._
-import java.lang.{Long => JLong, Integer => JInt}
-import java.io.InputStream
-import java.util.{Map => JMap}
 import twitter4j.auth.Authorization
 
+import org.apache.spark.rdd.RDD
+import org.apache.spark.storage.StorageLevel
+import org.apache.spark.api.java.function.{Function => JFunction, Function2 => JFunction2}
+import org.apache.spark.api.java.{JavaSparkContext, JavaRDD}
+import org.apache.spark.streaming._
+import org.apache.spark.streaming.dstream._
+import org.apache.spark.streaming.receivers.{ActorReceiver, ReceiverSupervisorStrategy}
+
 /**
  * A StreamingContext is the main entry point for Spark Streaming functionality. Besides the basic
  * information (such as, cluster URL and job name) to internally create a SparkContext, it provides
@@ -537,7 +541,7 @@ class JavaStreamingContext(val ssc: StreamingContext) {
   def queueStream[T](queue: java.util.Queue[JavaRDD[T]]): JavaDStream[T] = {
     implicit val cm: ClassManifest[T] =
       implicitly[ClassManifest[AnyRef]].asInstanceOf[ClassManifest[T]]
-    val sQueue = new scala.collection.mutable.Queue[spark.RDD[T]]
+    val sQueue = new scala.collection.mutable.Queue[RDD[T]]
     sQueue.enqueue(queue.map(_.rdd).toSeq: _*)
     ssc.queueStream(sQueue)
   }
@@ -554,7 +558,7 @@ class JavaStreamingContext(val ssc: StreamingContext) {
   def queueStream[T](queue: java.util.Queue[JavaRDD[T]], oneAtATime: Boolean): JavaDStream[T] = {
     implicit val cm: ClassManifest[T] =
       implicitly[ClassManifest[AnyRef]].asInstanceOf[ClassManifest[T]]
-    val sQueue = new scala.collection.mutable.Queue[spark.RDD[T]]
+    val sQueue = new scala.collection.mutable.Queue[RDD[T]]
     sQueue.enqueue(queue.map(_.rdd).toSeq: _*)
     ssc.queueStream(sQueue, oneAtATime)
   }
@@ -575,7 +579,7 @@ class JavaStreamingContext(val ssc: StreamingContext) {
       defaultRDD: JavaRDD[T]): JavaDStream[T] = {
     implicit val cm: ClassManifest[T] =
       implicitly[ClassManifest[AnyRef]].asInstanceOf[ClassManifest[T]]
-    val sQueue = new scala.collection.mutable.Queue[spark.RDD[T]]
+    val sQueue = new scala.collection.mutable.Queue[RDD[T]]
     sQueue.enqueue(queue.map(_.rdd).toSeq: _*)
     ssc.queueStream(sQueue, oneAtATime, defaultRDD.rdd)
   }
diff --git a/streaming/src/main/scala/spark/streaming/dstream/CoGroupedDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/CoGroupedDStream.scala
index 99553d295d..4eddc755b9 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/CoGroupedDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/CoGroupedDStream.scala
@@ -15,11 +15,12 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.{RDD, Partitioner}
-import spark.rdd.CoGroupedRDD
-import spark.streaming.{Time, DStream, Duration}
+import org.apache.spark.Partitioner
+import org.apache.spark.rdd.RDD
+import org.apache.spark.rdd.CoGroupedRDD
+import org.apache.spark.streaming.{Time, DStream, Duration}
 
 private[streaming]
 class CoGroupedDStream[K : ClassManifest](
diff --git a/streaming/src/main/scala/spark/streaming/dstream/ConstantInputDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/ConstantInputDStream.scala
index 095137092a..a9a05c9981 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/ConstantInputDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/ConstantInputDStream.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.RDD
-import spark.streaming.{Time, StreamingContext}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.streaming.{Time, StreamingContext}
 
 /**
  * An input stream that always returns the same RDD on each timestep. Useful for testing.
diff --git a/streaming/src/main/scala/spark/streaming/dstream/FileInputDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/FileInputDStream.scala
index de0536125d..fea0573b77 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/FileInputDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/FileInputDStream.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.RDD
-import spark.rdd.UnionRDD
-import spark.streaming.{DStreamCheckpointData, StreamingContext, Time}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.rdd.UnionRDD
+import org.apache.spark.streaming.{DStreamCheckpointData, StreamingContext, Time}
 
 import org.apache.hadoop.fs.{FileSystem, Path, PathFilter}
 import org.apache.hadoop.conf.Configuration
diff --git a/streaming/src/main/scala/spark/streaming/dstream/FilteredDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/FilteredDStream.scala
index 9d8c5c3175..91ee2c1a36 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/FilteredDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/FilteredDStream.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.streaming.{Duration, DStream, Time}
-import spark.RDD
+import org.apache.spark.streaming.{Duration, DStream, Time}
+import org.apache.spark.rdd.RDD
 
 private[streaming]
 class FilteredDStream[T: ClassManifest](
diff --git a/streaming/src/main/scala/spark/streaming/dstream/FlatMapValuedDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/FlatMapValuedDStream.scala
index 78d7117f0f..ca7d7ca49e 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/FlatMapValuedDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/FlatMapValuedDStream.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.streaming.{Duration, DStream, Time}
-import spark.RDD
-import spark.SparkContext._
+import org.apache.spark.streaming.{Duration, DStream, Time}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.SparkContext._
 
 private[streaming]
 class FlatMapValuedDStream[K: ClassManifest, V: ClassManifest, U: ClassManifest](
diff --git a/streaming/src/main/scala/spark/streaming/dstream/FlatMappedDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/FlatMappedDStream.scala
index d13bebb10f..b37966f9a7 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/FlatMappedDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/FlatMappedDStream.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.streaming.{Duration, DStream, Time}
-import spark.RDD
+import org.apache.spark.streaming.{Duration, DStream, Time}
+import org.apache.spark.rdd.RDD
 
 private[streaming]
 class FlatMappedDStream[T: ClassManifest, U: ClassManifest](
diff --git a/streaming/src/main/scala/spark/streaming/dstream/FlumeInputDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/FlumeInputDStream.scala
index 4906f503c2..18de772946 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/FlumeInputDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/FlumeInputDStream.scala
@@ -15,12 +15,13 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.streaming.StreamingContext
+import java.net.InetSocketAddress
+import java.io.{ObjectInput, ObjectOutput, Externalizable}
+import java.nio.ByteBuffer
 
-import spark.Utils
-import spark.storage.StorageLevel
+import scala.collection.JavaConversions._
 
 import org.apache.flume.source.avro.AvroSourceProtocol
 import org.apache.flume.source.avro.AvroFlumeEvent
@@ -28,11 +29,9 @@ import org.apache.flume.source.avro.Status
 import org.apache.avro.ipc.specific.SpecificResponder
 import org.apache.avro.ipc.NettyServer
 
-import scala.collection.JavaConversions._
-
-import java.net.InetSocketAddress
-import java.io.{ObjectInput, ObjectOutput, Externalizable}
-import java.nio.ByteBuffer
+import org.apache.spark.streaming.StreamingContext
+import org.apache.spark.util.Utils
+import org.apache.spark.storage.StorageLevel
 
 private[streaming]
 class FlumeInputDStream[T: ClassManifest](
diff --git a/streaming/src/main/scala/spark/streaming/dstream/ForEachDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/ForEachDStream.scala
index 7df537eb56..e21bac4602 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/ForEachDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/ForEachDStream.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.RDD
-import spark.streaming.{Duration, DStream, Job, Time}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.streaming.{Duration, DStream, Job, Time}
 
 private[streaming]
 class ForEachDStream[T: ClassManifest] (
diff --git a/streaming/src/main/scala/spark/streaming/dstream/GlommedDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/GlommedDStream.scala
index 06fda6fe8e..4294b07d91 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/GlommedDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/GlommedDStream.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.streaming.{Duration, DStream, Time}
-import spark.RDD
+import org.apache.spark.streaming.{Duration, DStream, Time}
+import org.apache.spark.rdd.RDD
 
 private[streaming]
 class GlommedDStream[T: ClassManifest](parent: DStream[T])
diff --git a/streaming/src/main/scala/spark/streaming/dstream/InputDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/InputDStream.scala
index 4dbdec459d..674b27118c 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/InputDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/InputDStream.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.streaming.{Time, Duration, StreamingContext, DStream}
+import org.apache.spark.streaming.{Time, Duration, StreamingContext, DStream}
 
 /**
  * This is the abstract base class for all input streams. This class provides to methods
diff --git a/streaming/src/main/scala/spark/streaming/dstream/KafkaInputDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/KafkaInputDStream.scala
index 6ee588af15..51e913675d 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/KafkaInputDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/KafkaInputDStream.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.Logging
-import spark.storage.StorageLevel
-import spark.streaming.{Time, DStreamCheckpointData, StreamingContext}
+import org.apache.spark.Logging
+import org.apache.spark.storage.StorageLevel
+import org.apache.spark.streaming.{Time, DStreamCheckpointData, StreamingContext}
 
 import java.util.Properties
 import java.util.concurrent.Executors
diff --git a/streaming/src/main/scala/spark/streaming/dstream/MapPartitionedDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/MapPartitionedDStream.scala
index af41a1b9ac..5329601a6f 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/MapPartitionedDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/MapPartitionedDStream.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.streaming.{Duration, DStream, Time}
-import spark.RDD
+import org.apache.spark.streaming.{Duration, DStream, Time}
+import org.apache.spark.rdd.RDD
 
 private[streaming]
 class MapPartitionedDStream[T: ClassManifest, U: ClassManifest](
diff --git a/streaming/src/main/scala/spark/streaming/dstream/MapValuedDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/MapValuedDStream.scala
index 8d8a6161c6..8290df90a2 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/MapValuedDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/MapValuedDStream.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.streaming.{Duration, DStream, Time}
-import spark.RDD
-import spark.SparkContext._
+import org.apache.spark.streaming.{Duration, DStream, Time}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.SparkContext._
 
 private[streaming]
 class MapValuedDStream[K: ClassManifest, V: ClassManifest, U: ClassManifest](
diff --git a/streaming/src/main/scala/spark/streaming/dstream/MappedDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/MappedDStream.scala
index 3fda84a38a..b1682afea3 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/MappedDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/MappedDStream.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.streaming.{Duration, DStream, Time}
-import spark.RDD
+import org.apache.spark.streaming.{Duration, DStream, Time}
+import org.apache.spark.rdd.RDD
 
 private[streaming]
 class MappedDStream[T: ClassManifest, U: ClassManifest] (
diff --git a/streaming/src/main/scala/spark/streaming/dstream/NetworkInputDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/NetworkInputDStream.scala
index 1db0a69a2f..31f9891560 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/NetworkInputDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/NetworkInputDStream.scala
@@ -15,30 +15,29 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.streaming.{Time, StreamingContext, AddBlocks, RegisterReceiver, DeregisterReceiver}
-
-import spark.{Logging, SparkEnv, RDD}
-import spark.rdd.BlockRDD
-import spark.storage.StorageLevel
+import java.util.concurrent.ArrayBlockingQueue
+import java.nio.ByteBuffer
 
 import scala.collection.mutable.ArrayBuffer
 
-import java.nio.ByteBuffer
-
 import akka.actor.{Props, Actor}
 import akka.pattern.ask
 import akka.dispatch.Await
 import akka.util.duration._
-import spark.streaming.util.{RecurringTimer, SystemClock}
-import java.util.concurrent.ArrayBlockingQueue
+
+import org.apache.spark.streaming.util.{RecurringTimer, SystemClock}
+import org.apache.spark.streaming._
+import org.apache.spark.{Logging, SparkEnv}
+import org.apache.spark.rdd.{RDD, BlockRDD}
+import org.apache.spark.storage.StorageLevel
 
 /**
  * Abstract class for defining any InputDStream that has to start a receiver on worker
  * nodes to receive external data. Specific implementations of NetworkInputDStream must
  * define the getReceiver() function that gets the receiver object of type
- * [[spark.streaming.dstream.NetworkReceiver]] that will be sent to the workers to receive
+ * [[org.apache.spark.streaming.dstream.NetworkReceiver]] that will be sent to the workers to receive
  * data.
  * @param ssc_ Streaming context that will execute this input stream
  * @tparam T Class type of the object of this stream
@@ -83,7 +82,7 @@ private[streaming] case class ReportError(msg: String) extends NetworkReceiverMe
 
 /**
  * Abstract class of a receiver that can be run on worker nodes to receive external data. See
- * [[spark.streaming.dstream.NetworkInputDStream]] for an explanation.
+ * [[org.apache.spark.streaming.dstream.NetworkInputDStream]] for an explanation.
  */
 abstract class NetworkReceiver[T: ClassManifest]() extends Serializable with Logging {
 
@@ -202,7 +201,7 @@ abstract class NetworkReceiver[T: ClassManifest]() extends Serializable with Log
   }
 
   /**
-   * Batches objects created by a [[spark.streaming.dstream.NetworkReceiver]] and puts them into
+   * Batches objects created by a [[org.apache.spark.streaming.dstream.NetworkReceiver]] and puts them into
    * appropriately named blocks at regular intervals. This class starts two threads,
    * one to periodically start a new batch and prepare the previous batch of as a block,
    * the other to push the blocks into the block manager.
diff --git a/streaming/src/main/scala/spark/streaming/dstream/PluggableInputDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/PluggableInputDStream.scala
index 33f7cd063f..15782f5c11 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/PluggableInputDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/PluggableInputDStream.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.streaming.StreamingContext
+import org.apache.spark.streaming.StreamingContext
 
 private[streaming]
 class PluggableInputDStream[T: ClassManifest](
diff --git a/streaming/src/main/scala/spark/streaming/dstream/QueueInputDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/QueueInputDStream.scala
index b269061b73..7d9f3521b1 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/QueueInputDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/QueueInputDStream.scala
@@ -15,14 +15,14 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.RDD
-import spark.rdd.UnionRDD
+import org.apache.spark.rdd.RDD
+import org.apache.spark.rdd.UnionRDD
 
 import scala.collection.mutable.Queue
 import scala.collection.mutable.ArrayBuffer
-import spark.streaming.{Time, StreamingContext}
+import org.apache.spark.streaming.{Time, StreamingContext}
 
 private[streaming]
 class QueueInputDStream[T: ClassManifest](
diff --git a/streaming/src/main/scala/spark/streaming/dstream/RawInputDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/RawInputDStream.scala
index 236f74f575..c91f12ecd7 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/RawInputDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/RawInputDStream.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.Logging
-import spark.storage.StorageLevel
-import spark.streaming.StreamingContext
+import org.apache.spark.Logging
+import org.apache.spark.storage.StorageLevel
+import org.apache.spark.streaming.StreamingContext
 
 import java.net.InetSocketAddress
 import java.nio.ByteBuffer
diff --git a/streaming/src/main/scala/spark/streaming/dstream/ReducedWindowedDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/ReducedWindowedDStream.scala
index 96260501ab..b88a4db959 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/ReducedWindowedDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/ReducedWindowedDStream.scala
@@ -15,18 +15,18 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.streaming.StreamingContext._
+import org.apache.spark.streaming.StreamingContext._
 
-import spark.RDD
-import spark.rdd.{CoGroupedRDD, MapPartitionsRDD}
-import spark.Partitioner
-import spark.SparkContext._
-import spark.storage.StorageLevel
+import org.apache.spark.rdd.RDD
+import org.apache.spark.rdd.{CoGroupedRDD, MapPartitionsRDD}
+import org.apache.spark.Partitioner
+import org.apache.spark.SparkContext._
+import org.apache.spark.storage.StorageLevel
 
 import scala.collection.mutable.ArrayBuffer
-import spark.streaming.{Duration, Interval, Time, DStream}
+import org.apache.spark.streaming.{Duration, Interval, Time, DStream}
 
 private[streaming]
 class ReducedWindowedDStream[K: ClassManifest, V: ClassManifest](
diff --git a/streaming/src/main/scala/spark/streaming/dstream/ShuffledDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/ShuffledDStream.scala
index 83b57b27f7..a95e66d761 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/ShuffledDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/ShuffledDStream.scala
@@ -15,11 +15,12 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.{RDD, Partitioner}
-import spark.SparkContext._
-import spark.streaming.{Duration, DStream, Time}
+import org.apache.spark.Partitioner
+import org.apache.spark.rdd.RDD
+import org.apache.spark.SparkContext._
+import org.apache.spark.streaming.{Duration, DStream, Time}
 
 private[streaming]
 class ShuffledDStream[K: ClassManifest, V: ClassManifest, C: ClassManifest](
diff --git a/streaming/src/main/scala/spark/streaming/dstream/SocketInputDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/SocketInputDStream.scala
index 5877b10e0e..e2539c7396 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/SocketInputDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/SocketInputDStream.scala
@@ -15,11 +15,11 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.streaming.StreamingContext
-import spark.storage.StorageLevel
-import spark.util.NextIterator
+import org.apache.spark.streaming.StreamingContext
+import org.apache.spark.storage.StorageLevel
+import org.apache.spark.util.NextIterator
 
 import java.io._
 import java.net.Socket
diff --git a/streaming/src/main/scala/spark/streaming/dstream/StateDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/StateDStream.scala
index 4b46613d5e..362a6bf4cc 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/StateDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/StateDStream.scala
@@ -15,13 +15,13 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.RDD
-import spark.Partitioner
-import spark.SparkContext._
-import spark.storage.StorageLevel
-import spark.streaming.{Duration, Time, DStream}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.Partitioner
+import org.apache.spark.SparkContext._
+import org.apache.spark.storage.StorageLevel
+import org.apache.spark.streaming.{Duration, Time, DStream}
 
 private[streaming]
 class StateDStream[K: ClassManifest, V: ClassManifest, S: ClassManifest](
diff --git a/streaming/src/main/scala/spark/streaming/dstream/TransformedDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/TransformedDStream.scala
index e7fbc5bbcf..60485adef9 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/TransformedDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/TransformedDStream.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.RDD
-import spark.streaming.{Duration, DStream, Time}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.streaming.{Duration, DStream, Time}
 
 private[streaming]
 class TransformedDStream[T: ClassManifest, U: ClassManifest] (
diff --git a/streaming/src/main/scala/spark/streaming/dstream/TwitterInputDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/TwitterInputDStream.scala
index f09a8b9f90..387e15b0e6 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/TwitterInputDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/TwitterInputDStream.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark._
-import spark.streaming._
+import org.apache.spark._
+import org.apache.spark.streaming._
 import storage.StorageLevel
 import twitter4j._
 import twitter4j.auth.Authorization
diff --git a/streaming/src/main/scala/spark/streaming/dstream/UnionDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/UnionDStream.scala
index 3eaa9a7e7f..c696bb70a8 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/UnionDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/UnionDStream.scala
@@ -15,12 +15,12 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.streaming.{Duration, DStream, Time}
-import spark.RDD
+import org.apache.spark.streaming.{Duration, DStream, Time}
+import org.apache.spark.rdd.RDD
 import collection.mutable.ArrayBuffer
-import spark.rdd.UnionRDD
+import org.apache.spark.rdd.UnionRDD
 
 private[streaming]
 class UnionDStream[T: ClassManifest](parents: Array[DStream[T]])
diff --git a/streaming/src/main/scala/spark/streaming/dstream/WindowedDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/WindowedDStream.scala
index fd24d61730..3c57294269 100644
--- a/streaming/src/main/scala/spark/streaming/dstream/WindowedDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/WindowedDStream.scala
@@ -15,12 +15,12 @@
  * limitations under the License.
  */
 
-package spark.streaming.dstream
+package org.apache.spark.streaming.dstream
 
-import spark.RDD
-import spark.rdd.UnionRDD
-import spark.storage.StorageLevel
-import spark.streaming.{Duration, Interval, Time, DStream}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.rdd.UnionRDD
+import org.apache.spark.storage.StorageLevel
+import org.apache.spark.streaming.{Duration, Interval, Time, DStream}
 
 private[streaming]
 class WindowedDStream[T: ClassManifest](
diff --git a/streaming/src/main/scala/spark/streaming/receivers/ActorReceiver.scala b/streaming/src/main/scala/org/apache/spark/streaming/receivers/ActorReceiver.scala
index abeeff11b9..4b5d8c467e 100644
--- a/streaming/src/main/scala/spark/streaming/receivers/ActorReceiver.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/receivers/ActorReceiver.scala
@@ -15,14 +15,14 @@
  * limitations under the License.
  */
 
-package spark.streaming.receivers
+package org.apache.spark.streaming.receivers
 
 import akka.actor.{ Actor, PoisonPill, Props, SupervisorStrategy }
 import akka.actor.{ actorRef2Scala, ActorRef }
 import akka.actor.{ PossiblyHarmful, OneForOneStrategy }
 
-import spark.storage.StorageLevel
-import spark.streaming.dstream.NetworkReceiver
+import org.apache.spark.storage.StorageLevel
+import org.apache.spark.streaming.dstream.NetworkReceiver
 
 import java.util.concurrent.atomic.AtomicInteger
 
diff --git a/streaming/src/main/scala/spark/streaming/receivers/ZeroMQReceiver.scala b/streaming/src/main/scala/org/apache/spark/streaming/receivers/ZeroMQReceiver.scala
index 22d554e7e4..043bb8c8bf 100644
--- a/streaming/src/main/scala/spark/streaming/receivers/ZeroMQReceiver.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/receivers/ZeroMQReceiver.scala
@@ -15,12 +15,12 @@
  * limitations under the License.
  */
 
-package spark.streaming.receivers
+package org.apache.spark.streaming.receivers
 
 import akka.actor.Actor
 import akka.zeromq._
 
-import spark.Logging
+import org.apache.spark.Logging
 
 /**
  * A receiver to subscribe to ZeroMQ stream.
diff --git a/streaming/src/main/scala/spark/streaming/util/Clock.scala b/streaming/src/main/scala/org/apache/spark/streaming/util/Clock.scala
index d9ac722df5..f67bb2f6ac 100644
--- a/streaming/src/main/scala/spark/streaming/util/Clock.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/util/Clock.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.streaming.util
+package org.apache.spark.streaming.util
 
 private[streaming]
 trait Clock {
diff --git a/streaming/src/main/scala/spark/streaming/util/MasterFailureTest.scala b/streaming/src/main/scala/org/apache/spark/streaming/util/MasterFailureTest.scala
index 8ce5d8daf5..6977957126 100644
--- a/streaming/src/main/scala/spark/streaming/util/MasterFailureTest.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/util/MasterFailureTest.scala
@@ -15,11 +15,12 @@
  * limitations under the License.
  */
 
-package spark.streaming.util
+package org.apache.spark.streaming.util
 
-import spark.{Logging, RDD}
-import spark.streaming._
-import spark.streaming.dstream.ForEachDStream
+import org.apache.spark.Logging
+import org.apache.spark.rdd.RDD
+import org.apache.spark.streaming._
+import org.apache.spark.streaming.dstream.ForEachDStream
 import StreamingContext._
 
 import scala.util.Random
diff --git a/streaming/src/main/scala/spark/streaming/util/RawTextHelper.scala b/streaming/src/main/scala/org/apache/spark/streaming/util/RawTextHelper.scala
index bf04120293..4e6ce6eabd 100644
--- a/streaming/src/main/scala/spark/streaming/util/RawTextHelper.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/util/RawTextHelper.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.streaming.util
+package org.apache.spark.streaming.util
 
-import spark.SparkContext
-import spark.SparkContext._
+import org.apache.spark.SparkContext
+import org.apache.spark.SparkContext._
 import it.unimi.dsi.fastutil.objects.{Object2LongOpenHashMap => OLMap}
 import scala.collection.JavaConversions.mapAsScalaMap
 
diff --git a/streaming/src/main/scala/spark/streaming/util/RawTextSender.scala b/streaming/src/main/scala/org/apache/spark/streaming/util/RawTextSender.scala
index 5cc6ad9dee..fc8655a083 100644
--- a/streaming/src/main/scala/spark/streaming/util/RawTextSender.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/util/RawTextSender.scala
@@ -15,15 +15,16 @@
  * limitations under the License.
  */
 
-package spark.streaming.util
+package org.apache.spark.streaming.util
 
 import java.nio.ByteBuffer
-import spark.util.{RateLimitedOutputStream, IntParam}
+import org.apache.spark.util.{RateLimitedOutputStream, IntParam}
 import java.net.ServerSocket
-import spark.{Logging, KryoSerializer}
+import org.apache.spark.{Logging}
 import it.unimi.dsi.fastutil.io.FastByteArrayOutputStream
 import scala.io.Source
 import java.io.IOException
+import org.apache.spark.serializer.KryoSerializer
 
 /**
  * A helper program that sends blocks of Kryo-serialized text strings out on a socket at a
diff --git a/streaming/src/main/scala/spark/streaming/util/RecurringTimer.scala b/streaming/src/main/scala/org/apache/spark/streaming/util/RecurringTimer.scala
index 7ecc44236d..d644240405 100644
--- a/streaming/src/main/scala/spark/streaming/util/RecurringTimer.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/util/RecurringTimer.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.streaming.util
+package org.apache.spark.streaming.util
 
 private[streaming]
 class RecurringTimer(val clock: Clock, val period: Long, val callback: (Long) => Unit) {
diff --git a/streaming/src/test/java/spark/streaming/JavaAPISuite.java b/streaming/src/test/java/org/apache/spark/streaming/JavaAPISuite.java
index 3b93790baa..c0d729ff87 100644
--- a/streaming/src/test/java/spark/streaming/JavaAPISuite.java
+++ b/streaming/src/test/java/org/apache/spark/streaming/JavaAPISuite.java
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.streaming;
+package org.apache.spark.streaming;
 
 import com.google.common.base.Optional;
 import com.google.common.collect.Lists;
@@ -28,20 +28,20 @@ import org.junit.Assert;
 import org.junit.Before;
 import org.junit.Test;
 import scala.Tuple2;
-import spark.HashPartitioner;
-import spark.api.java.JavaPairRDD;
-import spark.api.java.JavaRDD;
-import spark.api.java.JavaRDDLike;
-import spark.api.java.JavaPairRDD;
-import spark.api.java.JavaSparkContext;
-import spark.api.java.function.*;
-import spark.storage.StorageLevel;
-import spark.streaming.api.java.JavaDStream;
-import spark.streaming.api.java.JavaPairDStream;
-import spark.streaming.api.java.JavaStreamingContext;
-import spark.streaming.JavaTestUtils;
-import spark.streaming.JavaCheckpointTestUtils;
-import spark.streaming.InputStreamsSuite;
+import org.apache.spark.HashPartitioner;
+import org.apache.spark.api.java.JavaPairRDD;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaRDDLike;
+import org.apache.spark.api.java.JavaPairRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.function.*;
+import org.apache.spark.storage.StorageLevel;
+import org.apache.spark.streaming.api.java.JavaDStream;
+import org.apache.spark.streaming.api.java.JavaPairDStream;
+import org.apache.spark.streaming.api.java.JavaStreamingContext;
+import org.apache.spark.streaming.JavaTestUtils;
+import org.apache.spark.streaming.JavaCheckpointTestUtils;
+import org.apache.spark.streaming.InputStreamsSuite;
 
 import java.io.*;
 import java.util.*;
@@ -59,7 +59,7 @@ public class JavaAPISuite implements Serializable {
 
   @Before
   public void setUp() {
-      System.setProperty("spark.streaming.clock", "spark.streaming.util.ManualClock");
+      System.setProperty("spark.streaming.clock", "org.apache.spark.streaming.util.ManualClock");
       ssc = new JavaStreamingContext("local[2]", "test", new Duration(1000));
     ssc.checkpoint("checkpoint");
   }
diff --git a/streaming/src/test/java/spark/streaming/JavaTestUtils.scala b/streaming/src/test/java/org/apache/spark/streaming/JavaTestUtils.scala
index f9d25db8da..8a6604904d 100644
--- a/streaming/src/test/java/spark/streaming/JavaTestUtils.scala
+++ b/streaming/src/test/java/org/apache/spark/streaming/JavaTestUtils.scala
@@ -15,20 +15,21 @@
  * limitations under the License.
  */
 
-package spark.streaming
+package org.apache.spark.streaming
 
 import collection.mutable.{SynchronizedBuffer, ArrayBuffer}
 import java.util.{List => JList}
-import spark.streaming.api.java.{JavaPairDStream, JavaDStreamLike, JavaDStream, JavaStreamingContext}
-import spark.streaming._
+import org.apache.spark.streaming.api.java.{JavaPairDStream, JavaDStreamLike, JavaDStream, JavaStreamingContext}
+import org.apache.spark.streaming._
 import java.util.ArrayList
 import collection.JavaConversions._
+import org.apache.spark.api.java.JavaRDDLike
 
 /** Exposes streaming test functionality in a Java-friendly way. */
 trait JavaTestBase extends TestSuiteBase {
 
   /**
-   * Create a [[spark.streaming.TestInputStream]] and attach it to the supplied context.
+   * Create a [[org.apache.spark.streaming.TestInputStream]] and attach it to the supplied context.
    * The stream will be derived from the supplied lists of Java objects.
    **/
   def attachTestInputStream[T](
@@ -46,11 +47,11 @@ trait JavaTestBase extends TestSuiteBase {
 
   /**
    * Attach a provided stream to it's associated StreamingContext as a
-   * [[spark.streaming.TestOutputStream]].
+   * [[org.apache.spark.streaming.TestOutputStream]].
    **/
-  def attachTestOutputStream[T, This <: spark.streaming.api.java.JavaDStreamLike[T, This, R],
-      R <: spark.api.java.JavaRDDLike[T, R]](
-    dstream: JavaDStreamLike[T, This, R]) = {
+  def attachTestOutputStream[T, This <: JavaDStreamLike[T, This, R], R <: JavaRDDLike[T, R]](
+    dstream: JavaDStreamLike[T, This, R]) =
+  {
     implicit val cm: ClassManifest[T] =
       implicitly[ClassManifest[AnyRef]].asInstanceOf[ClassManifest[T]]
     val ostream = new TestOutputStream(dstream.dstream,
diff --git a/streaming/src/test/scala/spark/streaming/BasicOperationsSuite.scala b/streaming/src/test/scala/org/apache/spark/streaming/BasicOperationsSuite.scala
index 67e3e0cd30..11586f72b6 100644
--- a/streaming/src/test/scala/spark/streaming/BasicOperationsSuite.scala
+++ b/streaming/src/test/scala/org/apache/spark/streaming/BasicOperationsSuite.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.streaming
+package org.apache.spark.streaming
 
-import spark.streaming.StreamingContext._
+import org.apache.spark.streaming.StreamingContext._
 import scala.runtime.RichInt
 import util.ManualClock
 
@@ -26,7 +26,7 @@ class BasicOperationsSuite extends TestSuiteBase {
   override def framework() = "BasicOperationsSuite"
 
   before {
-    System.setProperty("spark.streaming.clock", "spark.streaming.util.ManualClock")
+    System.setProperty("spark.streaming.clock", "org.apache.spark.streaming.util.ManualClock")
   }
 
   after {
diff --git a/streaming/src/test/scala/spark/streaming/CheckpointSuite.scala b/streaming/src/test/scala/org/apache/spark/streaming/CheckpointSuite.scala
index 8c639648f0..a327de80b3 100644
--- a/streaming/src/test/scala/spark/streaming/CheckpointSuite.scala
+++ b/streaming/src/test/scala/org/apache/spark/streaming/CheckpointSuite.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.streaming
+package org.apache.spark.streaming
 
 import dstream.FileInputDStream
-import spark.streaming.StreamingContext._
+import org.apache.spark.streaming.StreamingContext._
 import java.io.File
 import runtime.RichInt
 import org.scalatest.BeforeAndAfter
@@ -36,7 +36,7 @@ import com.google.common.io.Files
  */
 class CheckpointSuite extends TestSuiteBase with BeforeAndAfter {
 
-  System.setProperty("spark.streaming.clock", "spark.streaming.util.ManualClock")
+  System.setProperty("spark.streaming.clock", "org.apache.spark.streaming.util.ManualClock")
 
   before {
     FileUtils.deleteDirectory(new File(checkpointDir))
@@ -63,7 +63,7 @@ class CheckpointSuite extends TestSuiteBase with BeforeAndAfter {
 
     assert(batchDuration === Milliseconds(500), "batchDuration for this test must be 1 second")
 
-    System.setProperty("spark.streaming.clock", "spark.streaming.util.ManualClock")
+    System.setProperty("spark.streaming.clock", "org.apache.spark.streaming.util.ManualClock")
 
     val stateStreamCheckpointInterval = Seconds(1)
 
diff --git a/streaming/src/test/scala/spark/streaming/FailureSuite.scala b/streaming/src/test/scala/org/apache/spark/streaming/FailureSuite.scala
index 7fc649fe27..6337c5359c 100644
--- a/streaming/src/test/scala/spark/streaming/FailureSuite.scala
+++ b/streaming/src/test/scala/org/apache/spark/streaming/FailureSuite.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.streaming
+package org.apache.spark.streaming
 
-import spark.Logging
-import spark.streaming.util.MasterFailureTest
+import org.apache.spark.Logging
+import org.apache.spark.streaming.util.MasterFailureTest
 import StreamingContext._
 
 import org.scalatest.{FunSuite, BeforeAndAfter}
diff --git a/streaming/src/test/scala/spark/streaming/InputStreamsSuite.scala b/streaming/src/test/scala/org/apache/spark/streaming/InputStreamsSuite.scala
index 1c5419b16d..42e3e51e3f 100644
--- a/streaming/src/test/scala/spark/streaming/InputStreamsSuite.scala
+++ b/streaming/src/test/scala/org/apache/spark/streaming/InputStreamsSuite.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.streaming
+package org.apache.spark.streaming
 
 import akka.actor.Actor
 import akka.actor.IO
@@ -29,9 +29,9 @@ import java.io.{File, BufferedWriter, OutputStreamWriter}
 import java.util.concurrent.{TimeUnit, ArrayBlockingQueue}
 import collection.mutable.{SynchronizedBuffer, ArrayBuffer}
 import util.ManualClock
-import spark.storage.StorageLevel
-import spark.streaming.receivers.Receiver
-import spark.Logging
+import org.apache.spark.storage.StorageLevel
+import org.apache.spark.streaming.receivers.Receiver
+import org.apache.spark.Logging
 import scala.util.Random
 import org.apache.commons.io.FileUtils
 import org.scalatest.BeforeAndAfter
@@ -52,7 +52,7 @@ class InputStreamsSuite extends TestSuiteBase with BeforeAndAfter {
   override def checkpointDir = "checkpoint"
 
   before {
-    System.setProperty("spark.streaming.clock", "spark.streaming.util.ManualClock")
+    System.setProperty("spark.streaming.clock", "org.apache.spark.streaming.util.ManualClock")
   }
 
   after {
@@ -207,7 +207,7 @@ class InputStreamsSuite extends TestSuiteBase with BeforeAndAfter {
     FileUtils.deleteDirectory(testDir)
 
     // Enable manual clock back again for other tests
-    System.setProperty("spark.streaming.clock", "spark.streaming.util.ManualClock")
+    System.setProperty("spark.streaming.clock", "org.apache.spark.streaming.util.ManualClock")
   }
 
 
diff --git a/streaming/src/test/scala/spark/streaming/TestSuiteBase.scala b/streaming/src/test/scala/org/apache/spark/streaming/TestSuiteBase.scala
index cb34b5a7cc..37dd9c4cc6 100644
--- a/streaming/src/test/scala/spark/streaming/TestSuiteBase.scala
+++ b/streaming/src/test/scala/org/apache/spark/streaming/TestSuiteBase.scala
@@ -15,12 +15,10 @@
  * limitations under the License.
  */
 
-package spark.streaming
+package org.apache.spark.streaming
 
-import spark.streaming.dstream.{InputDStream, ForEachDStream}
-import spark.streaming.util.ManualClock
-
-import spark.{RDD, Logging}
+import org.apache.spark.streaming.dstream.{InputDStream, ForEachDStream}
+import org.apache.spark.streaming.util.ManualClock
 
 import collection.mutable.ArrayBuffer
 import collection.mutable.SynchronizedBuffer
@@ -29,6 +27,9 @@ import java.io.{ObjectInputStream, IOException}
 
 import org.scalatest.{BeforeAndAfter, FunSuite}
 
+import org.apache.spark.Logging
+import org.apache.spark.rdd.RDD
+
 /**
  * This is a input stream just for the testsuites. This is equivalent to a checkpointable,
  * replayable, reliable message queue like Kafka. It requires a sequence as input, and
diff --git a/streaming/src/test/scala/spark/streaming/WindowOperationsSuite.scala b/streaming/src/test/scala/org/apache/spark/streaming/WindowOperationsSuite.scala
index 894b765fc6..f50e05c0d8 100644
--- a/streaming/src/test/scala/spark/streaming/WindowOperationsSuite.scala
+++ b/streaming/src/test/scala/org/apache/spark/streaming/WindowOperationsSuite.scala
@@ -15,14 +15,14 @@
  * limitations under the License.
  */
 
-package spark.streaming
+package org.apache.spark.streaming
 
-import spark.streaming.StreamingContext._
+import org.apache.spark.streaming.StreamingContext._
 import collection.mutable.ArrayBuffer
 
 class WindowOperationsSuite extends TestSuiteBase {
 
-  System.setProperty("spark.streaming.clock", "spark.streaming.util.ManualClock")
+  System.setProperty("spark.streaming.clock", "org.apache.spark.streaming.util.ManualClock")
 
   override def framework = "WindowOperationsSuite"
 
diff --git a/tools/pom.xml b/tools/pom.xml
index 95b5e80e5b..77646a6816 100644
--- a/tools/pom.xml
+++ b/tools/pom.xml
@@ -18,26 +18,26 @@
 <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
   <modelVersion>4.0.0</modelVersion>
   <parent>
-    <groupId>org.spark-project</groupId>
+    <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent</artifactId>
     <version>0.8.0-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
-  <groupId>org.spark-project</groupId>
+  <groupId>org.apache.spark</groupId>
   <artifactId>spark-tools</artifactId>
   <packaging>jar</packaging>
   <name>Spark Project Tools</name>
-  <url>http://spark-project.org/</url>
+  <url>http://spark.incubator.apache.org/</url>
 
   <dependencies>
     <dependency>
-      <groupId>org.spark-project</groupId>
+      <groupId>org.apache.spark</groupId>
       <artifactId>spark-core</artifactId>
       <version>${project.version}</version>
     </dependency>
     <dependency>
-      <groupId>org.spark-project</groupId>
+      <groupId>org.apache.spark</groupId>
       <artifactId>spark-streaming</artifactId>
       <version>${project.version}</version>
     </dependency>
diff --git a/tools/src/main/scala/spark/tools/JavaAPICompletenessChecker.scala b/tools/src/main/scala/org/apache/spark/tools/JavaAPICompletenessChecker.scala
index f45d0b281c..f824c472ae 100644
--- a/tools/src/main/scala/spark/tools/JavaAPICompletenessChecker.scala
+++ b/tools/src/main/scala/org/apache/spark/tools/JavaAPICompletenessChecker.scala
@@ -15,17 +15,17 @@
  * limitations under the License.
  */
 
-package spark.tools
+package org.apache.spark.tools
 
 import java.lang.reflect.Method
 
 import scala.collection.mutable.ArrayBuffer
 
-import spark._
-import spark.api.java._
-import spark.rdd.OrderedRDDFunctions
-import spark.streaming.{PairDStreamFunctions, DStream, StreamingContext}
-import spark.streaming.api.java.{JavaPairDStream, JavaDStream, JavaStreamingContext}
+import org.apache.spark._
+import org.apache.spark.api.java._
+import org.apache.spark.rdd.{RDD, DoubleRDDFunctions, PairRDDFunctions, OrderedRDDFunctions}
+import org.apache.spark.streaming.{PairDStreamFunctions, DStream, StreamingContext}
+import org.apache.spark.streaming.api.java.{JavaPairDStream, JavaDStream, JavaStreamingContext}
 
 
 private[spark] abstract class SparkType(val name: String)
@@ -129,7 +129,7 @@ object JavaAPICompletenessChecker {
       // TODO: the JavaStreamingContext API accepts Array arguments
       // instead of Lists, so this isn't a trivial translation / sub:
       "scala.collection.Seq" -> "java.util.List",
-      "scala.Function2" -> "spark.api.java.function.Function2",
+      "scala.Function2" -> "org.apache.spark.api.java.function.Function2",
       "scala.collection.Iterator" -> "java.util.Iterator",
       "scala.collection.mutable.Queue" -> "java.util.Queue",
       "double" -> "java.lang.Double"
@@ -139,7 +139,7 @@ object JavaAPICompletenessChecker {
       scalaType match {
         case ParameterizedType(name, parameters, typebounds) =>
           name match {
-            case "spark.RDD" =>
+            case "org.apache.spark.rdd.RDD" =>
               if (parameters(0).name == classOf[Tuple2[_, _]].getName) {
                 val tupleParams =
                   parameters(0).asInstanceOf[ParameterizedType].parameters.map(applySubs)
@@ -147,13 +147,13 @@ object JavaAPICompletenessChecker {
               } else {
                 ParameterizedType(classOf[JavaRDD[_]].getName, parameters.map(applySubs))
               }
-            case "spark.streaming.DStream" =>
+            case "org.apache.spark.streaming.DStream" =>
               if (parameters(0).name == classOf[Tuple2[_, _]].getName) {
                 val tupleParams =
                   parameters(0).asInstanceOf[ParameterizedType].parameters.map(applySubs)
-                ParameterizedType("spark.streaming.api.java.JavaPairDStream", tupleParams)
+                ParameterizedType("org.apache.spark.streaming.api.java.JavaPairDStream", tupleParams)
               } else {
-                ParameterizedType("spark.streaming.api.java.JavaDStream",
+                ParameterizedType("org.apache.spark.streaming.api.java.JavaDStream",
                   parameters.map(applySubs))
               }
             case "scala.Option" => {
@@ -167,14 +167,14 @@ object JavaAPICompletenessChecker {
               val firstParamName = parameters.last.name
               if (firstParamName.startsWith("scala.collection.Traversable") ||
                 firstParamName.startsWith("scala.collection.Iterator")) {
-                ParameterizedType("spark.api.java.function.FlatMapFunction",
+                ParameterizedType("org.apache.spark.api.java.function.FlatMapFunction",
                   Seq(parameters(0),
                     parameters.last.asInstanceOf[ParameterizedType].parameters(0)).map(applySubs))
               } else if (firstParamName == "scala.runtime.BoxedUnit") {
-                ParameterizedType("spark.api.java.function.VoidFunction",
+                ParameterizedType("org.apache.spark.api.java.function.VoidFunction",
                   parameters.dropRight(1).map(applySubs))
               } else {
-                ParameterizedType("spark.api.java.function.Function", parameters.map(applySubs))
+                ParameterizedType("org.apache.spark.api.java.function.Function", parameters.map(applySubs))
               }
             case _ =>
               ParameterizedType(renameSubstitutions.getOrElse(name, name),
@@ -211,85 +211,85 @@ object JavaAPICompletenessChecker {
     // This list also includes a few methods that are only used by the web UI or other
     // internal Spark components.
     val excludedNames = Seq(
-      "spark.RDD.origin",
-      "spark.RDD.elementClassManifest",
-      "spark.RDD.checkpointData",
-      "spark.RDD.partitioner",
-      "spark.RDD.partitions",
-      "spark.RDD.firstParent",
-      "spark.RDD.doCheckpoint",
-      "spark.RDD.markCheckpointed",
-      "spark.RDD.clearDependencies",
-      "spark.RDD.getDependencies",
-      "spark.RDD.getPartitions",
-      "spark.RDD.dependencies",
-      "spark.RDD.getPreferredLocations",
-      "spark.RDD.collectPartitions",
-      "spark.RDD.computeOrReadCheckpoint",
-      "spark.PairRDDFunctions.getKeyClass",
-      "spark.PairRDDFunctions.getValueClass",
-      "spark.SparkContext.stringToText",
-      "spark.SparkContext.makeRDD",
-      "spark.SparkContext.runJob",
-      "spark.SparkContext.runApproximateJob",
-      "spark.SparkContext.clean",
-      "spark.SparkContext.metadataCleaner",
-      "spark.SparkContext.ui",
-      "spark.SparkContext.newShuffleId",
-      "spark.SparkContext.newRddId",
-      "spark.SparkContext.cleanup",
-      "spark.SparkContext.receiverJobThread",
-      "spark.SparkContext.getRDDStorageInfo",
-      "spark.SparkContext.addedFiles",
-      "spark.SparkContext.addedJars",
-      "spark.SparkContext.persistentRdds",
-      "spark.SparkContext.executorEnvs",
-      "spark.SparkContext.checkpointDir",
-      "spark.SparkContext.getSparkHome",
-      "spark.SparkContext.executorMemoryRequested",
-      "spark.SparkContext.getExecutorStorageStatus",
-      "spark.streaming.DStream.generatedRDDs",
-      "spark.streaming.DStream.zeroTime",
-      "spark.streaming.DStream.rememberDuration",
-      "spark.streaming.DStream.storageLevel",
-      "spark.streaming.DStream.mustCheckpoint",
-      "spark.streaming.DStream.checkpointDuration",
-      "spark.streaming.DStream.checkpointData",
-      "spark.streaming.DStream.graph",
-      "spark.streaming.DStream.isInitialized",
-      "spark.streaming.DStream.parentRememberDuration",
-      "spark.streaming.DStream.initialize",
-      "spark.streaming.DStream.validate",
-      "spark.streaming.DStream.setContext",
-      "spark.streaming.DStream.setGraph",
-      "spark.streaming.DStream.remember",
-      "spark.streaming.DStream.getOrCompute",
-      "spark.streaming.DStream.generateJob",
-      "spark.streaming.DStream.clearOldMetadata",
-      "spark.streaming.DStream.addMetadata",
-      "spark.streaming.DStream.updateCheckpointData",
-      "spark.streaming.DStream.restoreCheckpointData",
-      "spark.streaming.DStream.isTimeValid",
-      "spark.streaming.StreamingContext.nextNetworkInputStreamId",
-      "spark.streaming.StreamingContext.networkInputTracker",
-      "spark.streaming.StreamingContext.checkpointDir",
-      "spark.streaming.StreamingContext.checkpointDuration",
-      "spark.streaming.StreamingContext.receiverJobThread",
-      "spark.streaming.StreamingContext.scheduler",
-      "spark.streaming.StreamingContext.initialCheckpoint",
-      "spark.streaming.StreamingContext.getNewNetworkStreamId",
-      "spark.streaming.StreamingContext.validate",
-      "spark.streaming.StreamingContext.createNewSparkContext",
-      "spark.streaming.StreamingContext.rddToFileName",
-      "spark.streaming.StreamingContext.getSparkCheckpointDir",
-      "spark.streaming.StreamingContext.env",
-      "spark.streaming.StreamingContext.graph",
-      "spark.streaming.StreamingContext.isCheckpointPresent"
+      "org.apache.spark.rdd.RDD.origin",
+      "org.apache.spark.rdd.RDD.elementClassManifest",
+      "org.apache.spark.rdd.RDD.checkpointData",
+      "org.apache.spark.rdd.RDD.partitioner",
+      "org.apache.spark.rdd.RDD.partitions",
+      "org.apache.spark.rdd.RDD.firstParent",
+      "org.apache.spark.rdd.RDD.doCheckpoint",
+      "org.apache.spark.rdd.RDD.markCheckpointed",
+      "org.apache.spark.rdd.RDD.clearDependencies",
+      "org.apache.spark.rdd.RDD.getDependencies",
+      "org.apache.spark.rdd.RDD.getPartitions",
+      "org.apache.spark.rdd.RDD.dependencies",
+      "org.apache.spark.rdd.RDD.getPreferredLocations",
+      "org.apache.spark.rdd.RDD.collectPartitions",
+      "org.apache.spark.rdd.RDD.computeOrReadCheckpoint",
+      "org.apache.spark.rdd.PairRDDFunctions.getKeyClass",
+      "org.apache.spark.rdd.PairRDDFunctions.getValueClass",
+      "org.apache.spark.SparkContext.stringToText",
+      "org.apache.spark.SparkContext.makeRDD",
+      "org.apache.spark.SparkContext.runJob",
+      "org.apache.spark.SparkContext.runApproximateJob",
+      "org.apache.spark.SparkContext.clean",
+      "org.apache.spark.SparkContext.metadataCleaner",
+      "org.apache.spark.SparkContext.ui",
+      "org.apache.spark.SparkContext.newShuffleId",
+      "org.apache.spark.SparkContext.newRddId",
+      "org.apache.spark.SparkContext.cleanup",
+      "org.apache.spark.SparkContext.receiverJobThread",
+      "org.apache.spark.SparkContext.getRDDStorageInfo",
+      "org.apache.spark.SparkContext.addedFiles",
+      "org.apache.spark.SparkContext.addedJars",
+      "org.apache.spark.SparkContext.persistentRdds",
+      "org.apache.spark.SparkContext.executorEnvs",
+      "org.apache.spark.SparkContext.checkpointDir",
+      "org.apache.spark.SparkContext.getSparkHome",
+      "org.apache.spark.SparkContext.executorMemoryRequested",
+      "org.apache.spark.SparkContext.getExecutorStorageStatus",
+      "org.apache.spark.streaming.DStream.generatedRDDs",
+      "org.apache.spark.streaming.DStream.zeroTime",
+      "org.apache.spark.streaming.DStream.rememberDuration",
+      "org.apache.spark.streaming.DStream.storageLevel",
+      "org.apache.spark.streaming.DStream.mustCheckpoint",
+      "org.apache.spark.streaming.DStream.checkpointDuration",
+      "org.apache.spark.streaming.DStream.checkpointData",
+      "org.apache.spark.streaming.DStream.graph",
+      "org.apache.spark.streaming.DStream.isInitialized",
+      "org.apache.spark.streaming.DStream.parentRememberDuration",
+      "org.apache.spark.streaming.DStream.initialize",
+      "org.apache.spark.streaming.DStream.validate",
+      "org.apache.spark.streaming.DStream.setContext",
+      "org.apache.spark.streaming.DStream.setGraph",
+      "org.apache.spark.streaming.DStream.remember",
+      "org.apache.spark.streaming.DStream.getOrCompute",
+      "org.apache.spark.streaming.DStream.generateJob",
+      "org.apache.spark.streaming.DStream.clearOldMetadata",
+      "org.apache.spark.streaming.DStream.addMetadata",
+      "org.apache.spark.streaming.DStream.updateCheckpointData",
+      "org.apache.spark.streaming.DStream.restoreCheckpointData",
+      "org.apache.spark.streaming.DStream.isTimeValid",
+      "org.apache.spark.streaming.StreamingContext.nextNetworkInputStreamId",
+      "org.apache.spark.streaming.StreamingContext.networkInputTracker",
+      "org.apache.spark.streaming.StreamingContext.checkpointDir",
+      "org.apache.spark.streaming.StreamingContext.checkpointDuration",
+      "org.apache.spark.streaming.StreamingContext.receiverJobThread",
+      "org.apache.spark.streaming.StreamingContext.scheduler",
+      "org.apache.spark.streaming.StreamingContext.initialCheckpoint",
+      "org.apache.spark.streaming.StreamingContext.getNewNetworkStreamId",
+      "org.apache.spark.streaming.StreamingContext.validate",
+      "org.apache.spark.streaming.StreamingContext.createNewSparkContext",
+      "org.apache.spark.streaming.StreamingContext.rddToFileName",
+      "org.apache.spark.streaming.StreamingContext.getSparkCheckpointDir",
+      "org.apache.spark.streaming.StreamingContext.env",
+      "org.apache.spark.streaming.StreamingContext.graph",
+      "org.apache.spark.streaming.StreamingContext.isCheckpointPresent"
     )
     val excludedPatterns = Seq(
-      """^spark\.SparkContext\..*To.*Functions""",
-      """^spark\.SparkContext\..*WritableConverter""",
-      """^spark\.SparkContext\..*To.*Writable"""
+      """^org\.apache\.spark\.SparkContext\..*To.*Functions""",
+      """^org\.apache\.spark\.SparkContext\..*WritableConverter""",
+      """^org\.apache\.spark\.SparkContext\..*To.*Writable"""
     ).map(_.r)
     lazy val excludedByPattern =
       !excludedPatterns.map(_.findFirstIn(name)).filter(_.isDefined).isEmpty
@@ -298,7 +298,7 @@ object JavaAPICompletenessChecker {
 
   private def isExcludedByInterface(method: Method): Boolean = {
     val excludedInterfaces =
-      Set("spark.Logging", "org.apache.hadoop.mapreduce.HadoopMapReduceUtil")
+      Set("org.apache.spark.Logging", "org.apache.hadoop.mapreduce.HadoopMapReduceUtil")
     def toComparisionKey(method: Method) =
       (method.getReturnType, method.getName, method.getGenericReturnType)
     val interfaces = method.getDeclaringClass.getInterfaces.filter { i =>
diff --git a/yarn/pom.xml b/yarn/pom.xml
index 07dd170eae..654b5bcd2d 100644
--- a/yarn/pom.xml
+++ b/yarn/pom.xml
@@ -1,5 +1,6 @@
 <?xml version="1.0" encoding="UTF-8"?>
-<!-- ~ Licensed to the Apache Software Foundation (ASF) under one or more
+<!--
+  ~ 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
@@ -14,21 +15,20 @@
   ~ See the License for the specific language governing permissions and
   ~ limitations under the License.
   -->
-
 <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
   <modelVersion>4.0.0</modelVersion>
   <parent>
-    <groupId>org.spark-project</groupId>
+    <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent</artifactId>
     <version>0.8.0-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 
-  <groupId>org.spark-project</groupId>
+  <groupId>org.apache.spark</groupId>
   <artifactId>spark-yarn</artifactId>
   <packaging>jar</packaging>
   <name>Spark Project YARN Support</name>
-  <url>http://spark-project.org/</url>
+  <url>http://spark.incubator.apache.org/</url>
 
   <build>
     <outputDirectory>target/scala-${scala.version}/classes</outputDirectory>
@@ -81,7 +81,7 @@
       <id>hadoop2-yarn</id>
       <dependencies>
         <dependency>
-          <groupId>org.spark-project</groupId>
+          <groupId>org.apache.spark</groupId>
           <artifactId>spark-core</artifactId>
           <version>${project.version}</version>
         </dependency>
diff --git a/yarn/src/main/scala/spark/deploy/yarn/ApplicationMaster.scala b/yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala
index d6acb080cc..bbeca245a8 100644
--- a/yarn/src/main/scala/spark/deploy/yarn/ApplicationMaster.scala
+++ b/yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.deploy.yarn
+package org.apache.spark.deploy.yarn
 
 import java.net.Socket
 import java.util.concurrent.CopyOnWriteArrayList
@@ -29,7 +29,7 @@ import org.apache.hadoop.yarn.conf.YarnConfiguration
 import org.apache.hadoop.yarn.ipc.YarnRPC
 import org.apache.hadoop.yarn.util.{ConverterUtils, Records}
 import scala.collection.JavaConversions._
-import spark.{SparkContext, Logging, Utils}
+import org.apache.spark.{SparkContext, Logging, Utils}
 import org.apache.hadoop.security.UserGroupInformation
 import java.security.PrivilegedExceptionAction
 
diff --git a/yarn/src/main/scala/spark/deploy/yarn/ApplicationMasterArguments.scala b/yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMasterArguments.scala
index 8de44b1f66..f47e23b63f 100644
--- a/yarn/src/main/scala/spark/deploy/yarn/ApplicationMasterArguments.scala
+++ b/yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMasterArguments.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.deploy.yarn
+package org.apache.spark.deploy.yarn
 
-import spark.util.IntParam
+import org.apache.spark.util.IntParam
 import collection.mutable.ArrayBuffer
 
 class ApplicationMasterArguments(val args: Array[String]) {
diff --git a/yarn/src/main/scala/spark/deploy/yarn/Client.scala b/yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala
index eb2a8cc642..48e737ed79 100644
--- a/yarn/src/main/scala/spark/deploy/yarn/Client.scala
+++ b/yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.deploy.yarn
+package org.apache.spark.deploy.yarn
 
 import java.net.{InetSocketAddress, URI}
 import java.nio.ByteBuffer
@@ -33,10 +33,10 @@ import org.apache.hadoop.yarn.conf.YarnConfiguration
 import org.apache.hadoop.yarn.ipc.YarnRPC
 import scala.collection.mutable.HashMap
 import scala.collection.JavaConversions._
-import spark.{Logging, Utils}
+import org.apache.spark.{Logging, Utils}
 import org.apache.hadoop.yarn.util.{Apps, Records, ConverterUtils}
 import org.apache.hadoop.yarn.api.ApplicationConstants.Environment
-import spark.deploy.SparkHadoopUtil
+import org.apache.spark.deploy.SparkHadoopUtil
 
 class Client(conf: Configuration, args: ClientArguments) extends YarnClientImpl with Logging {
   
diff --git a/yarn/src/main/scala/spark/deploy/yarn/ClientArguments.scala b/yarn/src/main/scala/org/apache/spark/deploy/yarn/ClientArguments.scala
index 67aff03781..6cbfadc23b 100644
--- a/yarn/src/main/scala/spark/deploy/yarn/ClientArguments.scala
+++ b/yarn/src/main/scala/org/apache/spark/deploy/yarn/ClientArguments.scala
@@ -15,12 +15,12 @@
  * limitations under the License.
  */
 
-package spark.deploy.yarn
+package org.apache.spark.deploy.yarn
 
-import spark.util.MemoryParam
-import spark.util.IntParam
+import org.apache.spark.util.MemoryParam
+import org.apache.spark.util.IntParam
 import collection.mutable.{ArrayBuffer, HashMap}
-import spark.scheduler.{InputFormatInfo, SplitInfo}
+import org.apache.spark.scheduler.{InputFormatInfo, SplitInfo}
 
 // TODO: Add code and support for ensuring that yarn resource 'asks' are location aware !
 class ClientArguments(val args: Array[String]) {
diff --git a/yarn/src/main/scala/spark/deploy/yarn/WorkerRunnable.scala b/yarn/src/main/scala/org/apache/spark/deploy/yarn/WorkerRunnable.scala
index 0e1fd9b680..72dcf7178e 100644
--- a/yarn/src/main/scala/spark/deploy/yarn/WorkerRunnable.scala
+++ b/yarn/src/main/scala/org/apache/spark/deploy/yarn/WorkerRunnable.scala
@@ -15,7 +15,7 @@
  * limitations under the License.
  */
 
-package spark.deploy.yarn
+package org.apache.spark.deploy.yarn
 
 import java.net.URI
 import java.nio.ByteBuffer
@@ -37,7 +37,7 @@ import org.apache.hadoop.yarn.api.ApplicationConstants.Environment
 import scala.collection.JavaConversions._
 import scala.collection.mutable.HashMap
 
-import spark.{Logging, Utils}
+import org.apache.spark.{Logging, Utils}
 
 class WorkerRunnable(container: Container, conf: Configuration, masterAddress: String,
     slaveId: String, hostname: String, workerMemory: Int, workerCores: Int) 
@@ -119,7 +119,7 @@ class WorkerRunnable(container: Container, conf: Configuration, masterAddress: S
       // TODO: If the OOM is not recoverable by rescheduling it on different node, then do 'something' to fail job ... akin to blacklisting trackers in mapred ?
       " -XX:OnOutOfMemoryError='kill %p' " +
       JAVA_OPTS +
-      " spark.executor.StandaloneExecutorBackend " +
+      " org.apache.spark.executor.StandaloneExecutorBackend " +
       masterAddress + " " +
       slaveId + " " +
       hostname + " " +
diff --git a/yarn/src/main/scala/spark/deploy/yarn/YarnAllocationHandler.scala b/yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocationHandler.scala
index 1f235cef88..0a3b3abc74 100644
--- a/yarn/src/main/scala/spark/deploy/yarn/YarnAllocationHandler.scala
+++ b/yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocationHandler.scala
@@ -15,13 +15,13 @@
  * limitations under the License.
  */
 
-package spark.deploy.yarn
+package org.apache.spark.deploy.yarn
 
-import spark.{Logging, Utils}
-import spark.scheduler.SplitInfo
+import org.apache.spark.{Logging, Utils}
+import org.apache.spark.scheduler.SplitInfo
 import scala.collection
 import org.apache.hadoop.yarn.api.records.{AMResponse, ApplicationAttemptId, ContainerId, Priority, Resource, ResourceRequest, ContainerStatus, Container}
-import spark.scheduler.cluster.{ClusterScheduler, StandaloneSchedulerBackend}
+import org.apache.spark.scheduler.cluster.{ClusterScheduler, StandaloneSchedulerBackend}
 import org.apache.hadoop.yarn.api.protocolrecords.{AllocateRequest, AllocateResponse}
 import org.apache.hadoop.yarn.util.{RackResolver, Records}
 import java.util.concurrent.{CopyOnWriteArrayList, ConcurrentHashMap}
diff --git a/yarn/src/main/scala/spark/deploy/yarn/YarnSparkHadoopUtil.scala b/yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnSparkHadoopUtil.scala
index 77c4ee7f3f..ca2f1e2565 100644
--- a/yarn/src/main/scala/spark/deploy/yarn/YarnSparkHadoopUtil.scala
+++ b/yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnSparkHadoopUtil.scala
@@ -15,9 +15,9 @@
  * limitations under the License.
  */
 
-package spark.deploy.yarn
+package org.apache.spark.deploy.yarn
 
-import spark.deploy.SparkHadoopUtil
+import org.apache.spark.deploy.SparkHadoopUtil
 import collection.mutable.HashMap
 import org.apache.hadoop.mapred.JobConf
 import org.apache.hadoop.security.UserGroupInformation
diff --git a/yarn/src/main/scala/spark/scheduler/cluster/YarnClusterScheduler.scala b/yarn/src/main/scala/org/apache/spark/scheduler/cluster/YarnClusterScheduler.scala
index 58a3f4043a..bbc96cfef7 100644
--- a/yarn/src/main/scala/spark/scheduler/cluster/YarnClusterScheduler.scala
+++ b/yarn/src/main/scala/org/apache/spark/scheduler/cluster/YarnClusterScheduler.scala
@@ -15,10 +15,10 @@
  * limitations under the License.
  */
 
-package spark.scheduler.cluster
+package org.apache.spark.scheduler.cluster
 
-import spark._
-import spark.deploy.yarn.{ApplicationMaster, YarnAllocationHandler}
+import org.apache.spark._
+import org.apache.spark.deploy.yarn.{ApplicationMaster, YarnAllocationHandler}
 import org.apache.hadoop.conf.Configuration
 
 /**