out.push_back({op, 0});
    }
    return out;
  }

  void Define(int num_opers, const std::vector<TF_Operation*>& opers,
              const std::vector<TF_Operation*>& inputs,
              const std::vector<TF_Operation*>& outputs,
              const std::vector<string>& output_names,
              bool expect_failure = false) {
    DefineT(num_opers, opers, ToOutput(inputs), ToOutput(outputs), output_names,

    run:
      - action: add-label@v1
        # etr is defined in the last section of this example
        args:
          label: "{{ calc.etr }} min review"
          color: {{ 'E94637' if (calc.etr >= 20) else ('FBBD10' if (calc.etr >= 5) else '36A853') }}

# To simplify the automations section, some calculations are placed under unique YAML keys defined here.

 * may never contain more than {@link Integer#MAX_VALUE} occurrences of any one element.
 *
 * <p>{@code Multiset} refines the specifications of several methods from {@code Collection}. It
 * also defines an additional query operation, {@link #count}, which returns the count of an
 * element. There are five new bulk-modification operations, for example {@link #add(Object, int)},

      :
#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
        api_def_map(op_list),
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
        update_docs_called(false) {
  }

#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
  tensorflow::ApiDefMap api_def_map TF_GUARDED_BY(lock);
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)

void TF_DeleteServer(TF_Server* server) {
#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
  delete server;
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
}

void TF_RegisterLogListener(void (*listener)(const char*)) {
#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
  tensorflow::logging::RegisterListener(listener);
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
}

  {% endfor %}

# To simplify the automations section, some calculations are placed under unique YAML keys defined here.
# Read the "|" not as "or", but as a "pipe", taking the output of the previous command and passing it to the next command.

# TODO: It would be very nice to avoid having this list somehow, but it needs to be defined in YAML and not in JS for the looping template to work

# -*- mode: yaml -*-
manifest:
  version: 1.0

# The `automations` section lists automations to run on PRs in this repository.
# Each automation has an `if` key that defines conditions to run the automation,
# as well as a `run` key with the actions to do. All the conditions need to be true
# for the actions to run (there is an implicit AND relation between
# the conditions on each line).  Each condition is specified as a Jinja expression.  You

That's what makes it possible to have multiple automatic interactive documentation interfaces, code generation, etc.

OpenAPI has a way to define multiple security "schemes".

By using them, you can take advantage of all these standard-based tools, including these interactive documentation systems.

OpenAPI defines the following security schemes:

* `apiKey`: an application specific key that can come from:
    * A query parameter.
    * A header.

                                  FactoryFunction factory);
}  // namespace tracing

DEFINE_CONVERSION_FUNCTIONS(AbstractContext, TF_ExecutionContext)
DEFINE_CONVERSION_FUNCTIONS(AbstractTensorHandle, TF_AbstractTensor)
DEFINE_CONVERSION_FUNCTIONS(AbstractFunction, TF_AbstractFunction)
DEFINE_CONVERSION_FUNCTIONS(AbstractOperation, TF_AbstractOp)
DEFINE_CONVERSION_FUNCTIONS(OutputList, TF_OutputList)
}  // namespace tensorflow

# -*- mode: yaml -*-
manifest:
  version: 1.0

# The `automations` section lists automations to run on PRs in this repository.
# Each automation has an `if` key that defines conditions to run the automation,
# as well as a `run` key with the actions to do. All the conditions need to be true
# for the actions to run (there is an implicit AND relation between
# the conditions on each line).  Each condition is specified as a Jinja expression.  You