useful to regenerate in a single call the compiled training function
        when any `.trainable` attribute of any model's layer has changed.
    *   Models now have a `save_spec` property which contains the `TensorSpec`
        specs for calling the model. This spec is automatically saved when the
        model is called for the first time.
*   `tf.linalg`:
    *   Add `CompositeTensor` as a base class to `LinearOperator`.
*   `tf.lite`:

#         "nomsan",
#         "nosan",
#         "notsan",
#         "noubsan",
#     ],
#     deps = [":copybara_config"],
# )
#
# action_config_test(
#     name = "build_cleaner_spec_test",
#     src = "build_cleaner_spec.textproto",
# )
# copybara:uncomment_end

licenses(["notice"])

exports_files([
    "LICENSE",
    # The leakr files are used by //third_party/cloud_tpu and

# proto-file: devtools/build_cleaner/proto/actions.proto
# proto-message: ActionSpecs

# Python rules should not have more than one source file.
action_spec {
  action: CHECK_FILE_COUNT
  file_count_params {
    rule_selector {
      rule_kind_regex: "^.*py(type)?(_strict)?_(binary|library|test).*$"
      generator_function_regex: "^(?!boq_header)$"
    }
    max_source_count: 1
  }