absl::Span<const std::string> extra_tf_opdefs) {
  for (const auto& tf_opdefs_string : extra_tf_opdefs) {
    OpDef opdef;
    // NOLINTNEXTLINE: Use tsl::protobuf to be compatible with OSS.
    if (!tsl::protobuf::TextFormat::ParseFromString(tf_opdefs_string, &opdef)) {
      LOG(ERROR) << "OpDef parsing failed for: " << tf_opdefs_string;
      return absl::InvalidArgumentError("fail to parse extra OpDef");
    }
    // Register extra opdefs.

  uint64_t mlir_fingerprint = tensorflow::Fingerprint64(txt_module);
  metadata.set_mlir_fingerprint(mlir_fingerprint);

  std::string txt_metadata;
  if (tpu_compile_metadata_debug) {
    ::tensorflow::protobuf::TextFormat::Printer printer;
    printer.SetExpandAny(true);
    printer.PrintToString(metadata, &txt_metadata);
  } else {
    metadata.SerializeToString(&txt_metadata);
  }

      "      op: '__OP_NAME__'"
      "    }"
      "    ret {"
      "      key: 'out'"
      "      value: 'error_op:out'"
      "    }";
  tensorflow::FunctionDef def;
  CHECK(tensorflow::protobuf::TextFormat::ParseFromString(
      tensorflow::str_util::StringReplace(func_str, "__OP_NAME__", op_name,
                                          /*replace_all=*/true),
      &def));
  return def.SerializeAsString();
}

	}
	cfg, _ := conversion.MessageToStruct(fc.AccessLog[0].GetTypedConfig())
	textFormat := cfg.GetFields()["log_format"].GetStructValue().GetFields()["text_format_source"].GetStructValue().
		GetFields()["inline_string"].GetStringValue()
	if format != "" && textFormat != format {
		t.Fatalf("expected format to be %s, but got %s", format, textFormat)
	}
}

func TestHttpProxyListener(t *testing.T) {

},{"name":"main.cc","kids":[],"cl_weight":0.00392156862745098,"touches":1,"min_t":1285863249,"max_t":1285863249,"mean_t":1285863249}],"cl_weight":2.100834122252632,"touches":5,"min_t":1285863249,"max_t":1301748385,"mean_t":1295577722},{"name":"text_format.cc","kids":[],"cl_weight":0.028647215558761104,"touches":4,"min_t":1285863249,"max_t":1301748385,"mean_t":1297743092},{"name":"unittest_custom_options.proto","kids":[],"cl_weight":0.028647215558761104,"touches":4,"min_t":1285863249,"max_t":1301...

}

void VLogGraphIfAsked(const Graph& graph) {
  if (VLOG_IS_ON(3)) {
    GraphDef graph_def;
    graph.ToGraphDef(&graph_def);
    string serialized;
    ::tensorflow::protobuf::TextFormat::PrintToString(graph_def, &serialized);
    LOG(INFO) << serialized;
  }
}

struct InductionVarInfo {
  Output induction_var;
  Output loop_cond;
};

	{"DayOfWeek", "Mon Monday", "Wed Wednesday"},
	{"Hour", "15 3 03 _3", "21 9 09 _9"},
	{"Minute", "4 04 _4", "0 00 _0"},
	{"Second", "5 05 _5", "57 57 _57"},
}

func TestFormat(t *testing.T) {
	// The numeric time represents Thu Feb  4 21:00:57.012345600 PST 2009
	time := Unix(0, 1233810057012345600)
	for _, test := range formatTests {
		result := time.Format(test.format)