if err != nil {
		fmt.Fprintln(w, err)
	}
}

// help serves a plain-text summary of the server's supported script language.
func (s *Server) help(w http.ResponseWriter, req *http.Request) {
	st, err := s.newState(req.Context(), s.workDir)
	if err != nil {
		http.Error(w, err.Error(), http.StatusInternalServerError)
		return
	}

	scriptLog := new(strings.Builder)

// a TensorFlow graph.
//
// Abstractly, if we have a cluster of this form:
//
//   x0 = arg0
//   x1 = arg1
//     ...
//   shape = f(x0, x1, ...)
//   result = Reshape(input=<something>, new_shape=shape)
//
// then pulling `f` out of the cluster may reduce the number of compilations and
// will never increase the number of compilations.
//

        this.displayName = displayName;
        this.resolver = fileResolver;
        this.dependencyFactory = dependencyFactory;
        this.host = host;
        this.valueState = ValueState.newState(host, ValueCollector::isolated);
        init(EMPTY_COLLECTOR, EMPTY_COLLECTOR);
        filesWrapper = new PathSet();
        buildDependency = dependencyFactory.configurableDependency();
    }

table CallOptions {
  // The subgraph index that needs to be called.
  subgraph:uint;
}

table PadOptions {
}

table PadV2Options {
}

table ReshapeOptions {
  new_shape:[int];
}

table SpaceToBatchNDOptions {
}

table BatchToSpaceNDOptions {
}

table SkipGramOptions {
  ngram_size: int;
  max_skip_size: int;
  include_all_ngrams: bool;
}

table CallOptions {
  // The subgraph index that needs to be called.
  subgraph:uint;
}

table PadOptions {
}

table PadV2Options {
}

table ReshapeOptions {
  new_shape:[int];
}

table SpaceToBatchNDOptions {
}

table BatchToSpaceNDOptions {
}

table SkipGramOptions {
  ngram_size: int;
  max_skip_size: int;
  include_all_ngrams: bool;