#
# 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
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"""
PySpark is the Python API for Spark.

Public classes:

  - L{SparkContext<pyspark.context.SparkContext>}
      Main entry point for Spark functionality.
  - L{RDD<pyspark.rdd.RDD>}
      A Resilient Distributed Dataset (RDD), the basic abstraction in Spark.
  - L{Broadcast<pyspark.broadcast.Broadcast>}
      A broadcast variable that gets reused across tasks.
  - L{Accumulator<pyspark.accumulators.Accumulator>}
      An "add-only" shared variable that tasks can only add values to.
  - L{SparkConf<pyspark.conf.SparkConf>}
      For configuring Spark.
  - L{SparkFiles<pyspark.files.SparkFiles>}
      Access files shipped with jobs.
  - L{StorageLevel<pyspark.storagelevel.StorageLevel>}
      Finer-grained cache persistence levels.
"""



import sys
import os
sys.path.insert(0, os.path.join(os.environ["SPARK_HOME"], "python/lib/py4j-0.8.1-src.zip"))


from pyspark.conf import SparkConf
from pyspark.context import SparkContext
from pyspark.rdd import RDD
from pyspark.files import SparkFiles
from pyspark.storagelevel import StorageLevel


__all__ = ["SparkConf", "SparkContext", "RDD", "SparkFiles", "StorageLevel"]