Helpers.mapEntry("a", (Collection<String>) ImmutableSortedSet.of("alex")),
                        Helpers.mapEntry(
                            "b", (Collection<String>) ImmutableSortedSet.of("bob", "bagel")),
                        Helpers.mapEntry(
                            "c", (Collection<String>) ImmutableSortedSet.of("carl", "carol")),
                        Helpers.mapEntry(

# anything with a Windows-only toolchain, and bazel errors if trying to build
# that directory.
@test "bazel nobuild passes on all of TF except TF Lite and win toolchains" {
    bazel build --experimental_cc_shared_library --nobuild --keep_going -- //tensorflow/... -//tensorflow/lite/... -//tensorflow/tools/toolchains/win/... -//tensorflow/tools/toolchains/win_1803/...
}


teardown_file() {
    bazel shutdown

# limitations under the License.
# ==============================================================================
setup_file() {
    bazel version  # Start the bazel server
}

# Do a bazel query specifically for the licenses checker. It searches for
# targets matching the provided query, which start with // or @ but not
# //tensorflow (so it looks for //third_party, //external, etc.), and then

      k -= 1

    # A low-effort attempt to find the bazel command that triggered the
    # invocation.
    bazel_comm_min_line_i = (previous_end_line if previous_end_line is not None
                             else 0)
    while k > bazel_comm_min_line_i:
      backtrack_line = log_lines[k]
      # Don't attempt to parse multi-line commands broken up by backslashes
      if 'bazel ' in backtrack_line and not backtrack_line.endswith('\\'):

2020-06-29T23:37:27.523826Z	warning	envoy config	[bazel-out/k8-opt/bin/external/envoy/source/common/config/_virtual_includes/grpc_stream_lib/common/config/grpc_stream.h:92] StreamAggregatedResources gRPC config stream closed: 14, no healthy upstream

    once you get into the running container so `bazel` can find the `tensorflow`
    workspace).

    you can do this by using the following command. As an example-

    ```bash
    docker run -it --rm -v $PWD:/tmp -w /tmp tensorflow/build:2.15-python3.10
    ```

    Once you have the packages installed, you can run a specific unit test in
    bazel by doing as follows:

    ```bash

// test, we can just look at the runtime call stack. However, bazel compiles go
// binaries with the -trimpath option so the simple approach fails however we
// can consult environment variables to derive the path.
//
// The approach taken here works for both go test and bazel on the assumption
// that if and only if trimpath is passed, we are running under bazel.
func pkgPath(t Logger) (string, error) {

                  apply-non-abi-change-to = "${fileToChange}"
                  maven {
                    targets = ["clean", "package", "-Dmaven.test.skip=true", "-T", "4"]
                  }
                  bazel {
                    targets = ["build", "//..."]
                  }
                }

                abiChange {
                  tasks = ["assemble"]

    mlir_components = "Bridge",
    tags = [
        "manual",
    ],
)

# Utility library for benchmark binaries, used by the *_benchmark rules that are
# added by the tfcompile bazel macro.
cc_library(
    name = "benchmark",
    srcs = ["benchmark.cc"],
    hdrs = ["benchmark.h"],
    visibility = ["//visibility:public"],
    deps = [

        Unlike the output of gen_test, this benchmark can be run on android.
      gen_compiler_log: If True, dumps XLA:CPU debug output to a log file.
      visibility: Bazel build visibility.
      testonly:   Bazel testonly attribute.
      tfcompile_flags: Extra flags to pass to tfcompile to control compilation.
      tfcompile_tool: The tfcompile binary. A non-default can be passed to