TOOLS_REGISTRY_PROVIDER=${TOOLS_REGISTRY_PROVIDER:-gcr.io}
PROJECT_ID=${PROJECT_ID:-istio-testing}
if [[ "${IMAGE_VERSION:-}" == "" ]]; then
  IMAGE_VERSION=master-b0f2fd3b4240c8178b14de4689d0e663e11868ff
fi
if [[ "${IMAGE_NAME:-}" == "" ]]; then
  IMAGE_NAME=build-tools
fi

DOCKER_GID="${DOCKER_GID:-$(grep '^docker:' /etc/group | cut -f3 -d:)}"

TIMEZONE=$(readlink "$readlink_flags" /etc/localtime | sed -e 's/^.*zoneinfo\///')

ISTIO_ENVOY_LINUX_DEBUG_NAME="${ISTIO_ENVOY_LINUX_DEBUG_NAME:-envoy-debug-${ISTIO_ENVOY_LINUX_VERSION}}"
ISTIO_ENVOY_LINUX_DEBUG_PATH="${ISTIO_ENVOY_LINUX_DEBUG_PATH:-${ISTIO_ENVOY_LINUX_DEBUG_DIR}/${ISTIO_ENVOY_LINUX_DEBUG_NAME}}"

ISTIO_ENVOY_LINUX_RELEASE_DIR="${ISTIO_ENVOY_LINUX_RELEASE_DIR:-${TARGET_OUT_LINUX}/release}"
ISTIO_ENVOY_LINUX_RELEASE_NAME="${ISTIO_ENVOY_LINUX_RELEASE_NAME:-${SIDECAR}-${ISTIO_ENVOY_VERSION}}"

ISTIO_ZTUNNEL_VERSION="${ISTIO_ZTUNNEL_VERSION:-${ZTUNNEL_REPO_SHA}}"
ISTIO_ZTUNNEL_RELEASE_URL="${ISTIO_ZTUNNEL_RELEASE_URL:-${ISTIO_ZTUNNEL_BASE_URL}/ztunnel-${ISTIO_ZTUNNEL_VERSION}-${TARGET_ARCH}}"
ISTIO_ZTUNNEL_LINUX_RELEASE_NAME="${ISTIO_ZTUNNEL_LINUX_RELEASE_NAME:-ztunnel-${ISTIO_ZTUNNEL_VERSION}}"
ISTIO_ZTUNNEL_LINUX_RELEASE_DIR="${ISTIO_ZTUNNEL_LINUX_RELEASE_DIR:-${TARGET_OUT_LINUX}/release}"

#
#   (1) You need a POSIX-compliant shell to run this script. If your /bin/sh is
#       noncompliant, but you have some other compliant shell such as ksh or
#       bash, then to run this script, type that shell name before the whole
#       command line, like:
#
#           ksh Gradle
#
#       Busybox and similar reduced shells will NOT work, because this script
#       requires all of these POSIX shell features:

  # replace tensorflow to tf_nightly in the wheel name
  export TFCI_BUILD_PIP_PACKAGE_ARGS="$(echo $TFCI_BUILD_PIP_PACKAGE_ARGS | sed 's/tensorflow/tf_nightly/')"
fi

tfrun bazel build $TFCI_BAZEL_COMMON_ARGS //tensorflow/tools/pip_package:wheel $TFCI_BUILD_PIP_PACKAGE_ARGS
tfrun find ./bazel-bin/tensorflow/tools/pip_package -iname "*.whl" -exec cp {} $TFCI_OUTPUT_DIR \;

# docker rm tf
if ! docker container inspect tf >/dev/null 2>&1 ; then
  # Pass all existing TFCI_ variables into the Docker container
  env_file=$(mktemp)
  env | grep ^TFCI_ > "$env_file"
  docker run $TFCI_DOCKER_ARGS --name tf -w "$TFCI_GIT_DIR" -itd --rm \
      -v "$TFCI_GIT_DIR:$TFCI_GIT_DIR" \
      --env-file "$env_file" \
      "$TFCI_DOCKER_IMAGE" \
    bash
fi

  "$python" -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)'
  "$python" -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)'
fi
# VERY basic check to ensure the [and-cuda] package variant is installable.
# Checks TFCI_BAZEL_COMMON_ARGS for "gpu" or "cuda", implying that the test is

	pkill minio
	pkill -9 minio
	rm -rf /tmp/minio{1,2,3}
}

cleanup

unset MINIO_KMS_KES_CERT_FILE
unset MINIO_KMS_KES_KEY_FILE
unset MINIO_KMS_KES_ENDPOINT
unset MINIO_KMS_KES_KEY_NAME

export MINIO_CI_CD=1
export MINIO_BROWSER=off
export MINIO_ROOT_USER="minio"
export MINIO_ROOT_PASSWORD="minio123"
export MINIO_KMS_AUTO_ENCRYPTION=off
export MINIO_PROMETHEUS_AUTH_TYPE=public

# This script uploads all staged artifacts from all previous builds in the same
# job chain to GCS and PyPI.
source "${BASH_SOURCE%/*}/utilities/setup.sh"

# Update the version numbers for Nightly only, then fetch the version numbers
# for choosing the final directory name. This adds "-devYYYYMMDD" to the end of
# the version string (.devYYYYMMDD for Python; see pypi.org/project/tf-nightly)

}

cleanup

unset MINIO_KMS_KES_CERT_FILE
unset MINIO_KMS_KES_KEY_FILE
unset MINIO_KMS_KES_ENDPOINT
unset MINIO_KMS_KES_KEY_NAME

export MINIO_CI_CD=1

if [ ! -f ./mc ]; then
	os="$(uname -s)"
	arch="$(uname -m)"
	wget -O mc https://dl.minio.io/client/mc/release/${os,,}-${arch,,}/mc &&
		chmod +x mc
fi

for i in $(seq 1 4); do
	s3Port="$((9000 + i))"