],
)

bazel_dep(name = "nlohmann_json", version = "3.12.0.bcr.1", repo_name = "nlohmann_json_lib")
bazel_dep(name = "abseil-py", version = "2.1.0", repo_name = "absl_py")
bazel_dep(name = "rules_python", version = "1.6.1")
bazel_dep(name = "rules_shell", version = "0.6.1")
bazel_dep(name = "bazel_skylib", version = "1.8.1")
bazel_dep(name = "platforms", version = "1.0.0")
bazel_dep(name = "rules_license", version = "1.0.0")

# limitations under the License.
# ==============================================================================

load("@python_version_repo//:py_version.bzl", "REQUIREMENTS")
load("@rules_python//python:pip.bzl", "compile_pip_requirements")

# TODO(ybaturina): Remove once TF is migrated to CUDA 12.9.
genrule(
    name = "nvidia_constraints",
    srcs = ["nvidia-requirements.txt"],

# configurations via `requires-` tags. This results in an action
# conflict when precompiling. Disable to avoid that problem.
# See https://github.com/bazel-contrib/rules_python/issues/2445
common --@rules_python//python/config_settings:precompile=force_disabled
common --@rules_python//python/config_settings:bootstrap_impl=script --repo_env=RULES_PYTHON_ENABLE_PIPSTAR=0

# Do not do this. If enabled protobuf's core internal target 

@com_github_grpc_grpc//src/compiler
@com_google_protobuf//upb_generator
@llvm-project//third-party/siphash
@platforms//os
@ml_dtypes_py//ml_dtypes
@ruy//
@rules_java_builtin//toolchains
@rules_ml_toolchain//
@rules_python//
@stablehlo//stablehlo/experimental
EOF

  # grep patterns for targets which are allowed to be extra licenses
  cat > $BATS_TEST_TMPDIR/allowed_to_be_extra <<EOF
@xla//third_party/mkl
@xla//third_party/mkl_dnn