# - bats: bash unit testing framework
# - bazelisk: always use the correct bazel version
# - buildifier: clean bazel build deps
# - buildozer: clean bazel build deps
# - gcloud SDK: communicate with Google Cloud Platform (GCP) for RBE, CI
# - patchelf: Utility tool to modify existing ELF executables and libraries
RUN git clone --branch v1.11.0 https://github.com/bats-core/bats-core.git && bats-core/install.sh /usr/local && rm -rf bats-core

SHELL ["powershell.exe", "-ExecutionPolicy", "Bypass", "-Command", \
       "$ErrorActionPreference='Stop'; $ProgressPreference='SilentlyContinue';$VerbosePreference = 'Continue';"]

# This should only be necessary when running on A GCP VM, on a default
# network, which has the MTU of 1460,
# due to 40 bytes being reserved for GCP's internal usage.
# Note, an invalid sub-interface name will lead to an obscure error, e.g.:

	"k8s.io/apimachinery/pkg/runtime/serializer/versioning"
	utilruntime "k8s.io/apimachinery/pkg/util/runtime"
	_ "k8s.io/client-go/plugin/pkg/client/auth" //  to avoid 'No Auth Provider found for name "gcp"'
	"k8s.io/client-go/tools/clientcmd"
	"k8s.io/client-go/tools/clientcmd/api"
	"k8s.io/client-go/tools/clientcmd/api/latest"

	"istio.io/istio/istioctl/pkg/cli"
	"istio.io/istio/istioctl/pkg/util"

  config_info_line('v1', 'Build with TensorFlow 1 API instead of TF 2 API.')

  print('Preconfigured Bazel build configs to DISABLE default on features:')
  config_info_line('nogcp', 'Disable GCP support.')
  config_info_line('nonccl', 'Disable NVIDIA NCCL support.')


if __name__ == '__main__':

build:rbe_linux_cpu --copt=-Wno-gnu-offsetof-extensions
# Python config is the same across all containers because the binary is the same
build:rbe_linux_cpu --python_path="/usr/bin/python3"
# These you may need to change for your own GCP project.
common:rbe_linux_cpu --remote_instance_name=projects/tensorflow-testing/instances/default_instance

# TODO(kanglan): Remove it after toolchain update is complete.
build:rbe_linux_cpu_old --config=rbe_linux

- Removed the last remaining in-tree gcp cloud provider and credential provider.
  Please use the external cloud provider and credential provider from https://github.com/kubernetes/cloud-provider-gcp