# ==============================================================================
set -euxo pipefail

# Run this from inside the tensorflow github directory.
# Usage: setup_venv_test.sh venv_and_symlink_name "glob pattern for one wheel file"
# Example: setup_venv_test.sh bazel_pip "/tf/pkg/*.whl"
# 
# This will create a venv with that wheel file installed in it, and a symlink

# any Mac or Linux platform with bash 4.2+. Please take care not to modify this function
# without testing properly.
#
# This function will properly handle any type of path including those with spaces using the
# loading pattern specified by *kubectl config*.
#
# testcase: "a:b c:d"
# testcase: "a b:c d:e f"
# testcase: "a b:c:d e"
parse_KUBECONFIG () {
TMPDIR=""
if [[ "$1" =~ ([^:]*):(.*) ]]; then
  while true; do

if [ "$sete" = true ]; then
	set -e
fi

pattern="$1"
if [ "$pattern" = "" ]; then
	pattern=.
fi

./make.bash || exit 1
GOROOT="$(cd .. && pwd)"

gettargets() {
	../bin/go tool dist list | sed -e 's|/|-|' |
		grep -E -v '^(android|ios)' # need C toolchain even for cross-compiling
	echo linux-arm-arm5
}

selectedtargets() {
	gettargets | grep -E "$pattern"
}

      [ -s "${CLUSTER_KUBECONFIG}" ] && break
      sleep 3
    done

    # Enable core dumps
    retry docker exec "${CLUSTER_NAME}"-control-plane bash -c "sysctl -w kernel.core_pattern=/var/lib/istio/data/core.proxy && ulimit -c unlimited"
  }

  # Now deploy the specified number of KinD clusters and
  # wait till they are provisioned successfully.
  declare -a DEPLOY_KIND_JOBS