spark-instrumented-optimizer/python/run-tests

#!/usr/bin/env bash

# Figure out where the Scala framework is installed
FWDIR="$(cd `dirname $0`; cd ../; pwd)"

FAILED=0

$FWDIR/pyspark pyspark/rdd.py
FAILED=$(($?||$FAILED))

$FWDIR/pyspark pyspark/context.py
FAILED=$(($?||$FAILED))

$FWDIR/pyspark -m doctest pyspark/broadcast.py
FAILED=$(($?||$FAILED))

$FWDIR/pyspark -m doctest pyspark/accumulators.py
FAILED=$(($?||$FAILED))

$FWDIR/pyspark -m unittest pyspark.tests
FAILED=$(($?||$FAILED))

if [[ $FAILED != 0 ]]; then
    echo -en "\033[31m"  # Red
    echo "Had test failures; see logs."
    echo -en "\033[0m"  # No color
    exit -1
else
    echo -en "\033[32m"  # Green
    echo "Tests passed."
    echo -en "\033[0m"  # No color
fi

# TODO: in the long-run, it would be nice to use a test runner like `nose`.
# The doctest fixtures are the current barrier to doing this.