if (op->getName().getDialectNamespace() !=
        TF::TensorFlowDialect::getDialectNamespace())
      return failure();

    // Refining types may have implications to the attached regions or symbol
    // references so do not update such ops.
    if (!op->getRegions().empty() || HasSymbolRefAttr(op)) return failure();

    IRMapping mapper;
    bool has_type_change = false;

                localLogMsg.set(buf.toString());
            }
        };
        crawlerStatsHelper.init();
    }

    public void test_beginDone() {
        String key = "test";
        crawlerStatsHelper.begin(key);
        crawlerStatsHelper.done(key);
        logger.info(localLogMsg.get());
        String[] values = localLogMsg.get().split("\t");
        assertEquals(3, values.length);
        assertEquals("url:test", values[0]);

	}
	age := uploadStartTime.Sub(t)
	return age > distantPast
}

// counterDateSpan parses the counter file named fname and returns the (begin,
// end) span recorded in its metadata, or an error if this data could not be
// extracted.
func (u *uploader) counterDateSpan(fname string) (begin, end time.Time, _ error) {
	parsed, err := u.parseCountFile(fname)
	if err != nil {
		return time.Time{}, time.Time{}, err
	}

      tensorflow::str_util::Split(source_dir, "/");
  auto source_tfroot_pos = std::find(source_path_components.begin(),
                                     source_path_components.end(), tf_root_dir);
  if (source_tfroot_pos != source_path_components.end()) {
    tf_prefix_dir =
        absl::StrJoin(source_path_components.begin(), source_tfroot_pos, "/");
  } else {
    tf_prefix_dir = source_dir;
  }

    const DenseIntElementsAttr& dense_attr, PatternRewriter& builder) {
  std::vector<int32_t> ret(dense_attr.getNumElements());
  auto range = dense_attr.getValues<int64_t>();
  std::transform(range.begin(), range.end(), ret.begin(),
                 [](int64_t attr) { return static_cast<int32_t>(attr); });
  return DenseIntElementsAttr::get(
      RankedTensorType::get(ret.size(), builder.getIntegerType(32)), ret);
}

                val begin = typeParametersLeft - typeParametersCount
                val end = typeParametersLeft
                check(begin >= 0)
                typeParametersLeft -= typeParametersCount
                coneType.typeArguments.slice(begin until end).map { builder.typeBuilder.buildTypeProjection(it) }
            } else emptyList()

namespace tensorflow {
namespace generator {
namespace cpp {

OpView::OpView(OpSpec op)
    : op_(op),
      input_args_(op_.Inputs().begin(), op_.Inputs().end()),
      output_args_(op_.Outputs().begin(), op_.Outputs().end()),
      argument_attrs_(op_.Attributes().begin(), op_.Attributes().end()) {
  // Initialize function arguments
  all_arguments_.push_back(OpArgumentView("AbstractContext*", "ctx"));

                                  context_.cpp_config.unit + "_ops.h");
  string with_underscores(self_path);
  std::replace(with_underscores.begin(), with_underscores.end(), '/', '_');
  std::replace(with_underscores.begin(), with_underscores.end(), '.', '_');
  guard_ = toUpperSnake(with_underscores) + "_";
}

void GuardRenderer::Open() {
  CodeLine("#ifndef $0", guard_);

                     IntegerAttr *y) {
  auto attr = op->getAttrOfType<ArrayAttr>(name);
  if (!attr) return false;

  auto elements = attr.getValue();
  if (elements.size() != 4 ||
      std::any_of(elements.begin(), elements.end(),
                  [](Attribute e) { return !mlir::isa<IntegerAttr>(e); }))
    return false;

  if (mlir::cast<IntegerAttr>(elements.front()).getInt() != 1 ||

    const std::string& group_id = id_pair[0];
    if (group_id[0] != 'p' && group_id[0] != 'r') return failure();
    if (!std::all_of(std::next(group_id.begin()), group_id.end(), is_digit)) {
      return failure();
    }
    const std::string& branch_id = id_pair[1];
    if (!std::all_of(branch_id.begin(), branch_id.end(), is_digit)) {
      return failure();
    }
    id_pairs.push_back(std::make_pair(id_pair[0], id_pair[1]));
  }