#       export TF_ANY_SCRIPT=ci/official/wheel.sh
#       ./any.sh
#
# 3. DO THE SAME WITH A LOCAL CACHE OR RBE:
#       export TF_ANY_EXTRA_ENV=ci/official/envs/public_cache,ci/official/envs/disk_cache
#       ...
#       ./any.sh
#     or
#       export TF_ANY_EXTRA_ENV=ci/official/envs/local_rbe
#       ./any.sh
#       ...
set -euxo pipefail
cd "$(dirname "$0")/../../"  # tensorflow/

  source ./ci/official/utilities/windows.sh
  echo 'Converting MSYS Linux-like paths to Windows paths (for Docker, Python, etc.)'
  source <(python ./ci/official/utilities/convert_msys_paths_to_win_paths.py --whitelist-prefix TFCI_)
fi

# Run all "tfrun" commands under Docker. See setup_docker.sh for details
if [[ "$TFCI_DOCKER_ENABLE" == 1 ]]; then
  source ./ci/official/utilities/setup_docker.sh
fi

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
#
# Usage: rename_and_verify_wheels.sh
# This script is aware of TFCI_ variables, so it doesn't need any arguments.
# Puts new wheel through auditwheel to rename and verify it, deletes the old
# one, checks the filesize, and then ensures the new wheel is installable.

#!/bin/bash

cd `dirname $0`
. ./_project.sh

FIRST_ARG=$1
SECOND_ARG=$2

sh $DBFLUTE_HOME/etc/cmd/_df-manage.sh $MY_PROPERTIES_PATH $FIRST_ARG $SECOND_ARG
taskReturnCode=$?

if [ $taskReturnCode -ne 0 ];then
  exit $taskReturnCode;

#!/bin/sh

# This script configures clang to target the iOS simulator. If you'd like to
# build for real iOS devices, change SDK to "iphoneos" and PLATFORM to "ios".
# This uses the latest available iOS SDK, which is recommended. To select a
# specific SDK, run 'xcodebuild -showsdks' to see the available SDKs and replace
# iphonesimulator with one of them.

SDK=iphonesimulator
PLATFORM=ios-simulator

if [ "$GOARCH" == "arm64" ]; then
	CLANGARCH="arm64"

# ==============================================================================
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
# in ./venv_and_symlink_name/tensorflow to ./tensorflow. We use this for the

# limitations under the License.

# retry.sh retries a command until it succeeds. It accepts a regex pattern to match failures on to
# determine if a retry should be attempted.
# Example: retry.sh "connection timed out" ./my-flaky-script.sh some args
# This will run "my-flaky-script.sh", retrying any failed runs that output "connection timed out" up
# to 5 times.

function fail {

ln -s "/usr/include/x86_64-linux-gnu/asm" "/${TARGET}/usr/include/asm"

# Symlinks in the binary distribution are set up for installation in /usr, we
# need to fix up all the links to stay within /${TARGET}.
/fixlinks.sh "/${TARGET}"

# Patch to allow non-glibc 2.12 compatible builds to work.
sed -i '54i#define TCP_USER_TIMEOUT 18' "/${TARGET}/usr/include/netinet/tcp.h"

# limitations under the License.

set -e

WD=$(dirname "$0")
WD=$(cd "$WD"; pwd)

export FOR_BUILD_CONTAINER=1
# shellcheck disable=SC1090,SC1091
source "${WD}/setup_env.sh"


MOUNT_SOURCE="${MOUNT_SOURCE:-${PWD}}"
MOUNT_DEST="${MOUNT_DEST:-/work}"

read -ra DOCKER_RUN_OPTIONS <<< "${DOCKER_RUN_OPTIONS:-}"

[[ -t 0 ]] && DOCKER_RUN_OPTIONS+=("-it")

# For a release build BUILDINFO should be produced
# at the beginning of the build and used throughout
if [[ -z ${BUILDINFO} ]];then
    BUILDINFO=$(mktemp)
    "${SCRIPTPATH}/report_build_info.sh" > "${BUILDINFO}"
fi

# BUILD LD_EXTRAFLAGS
LD_EXTRAFLAGS=""

while read -r line; do
    LD_EXTRAFLAGS="${LD_EXTRAFLAGS} -X ${line}"
done < "${BUILDINFO}"

OPTIMIZATION_FLAGS=(-trimpath)