Use empty() instead of size() where possible

cpp/src/io/avro/reader_impl.cu

@@ -499,7 +499,7 @@ table_with_metadata read_avro(std::unique_ptr<cudf::io::datasource>&& source,
 
   // Select only columns required by the options
   auto selected_columns = meta.select_columns(options.get_columns());
-  if (selected_columns.size() != 0) {
+  if (not selected_columns.empty()) {
     // Get a list of column data types
     std::vector<data_type> column_types;
     for (auto const& col : selected_columns) {

cpp/src/io/csv/reader_impl.cu

@@ -973,14 +973,14 @@ parse_options make_parse_options(csv_reader_options const& reader_opts,
 
   // Handle user-defined true values, whereby field data is substituted with a
   // boolean true or numeric `1` value
-  if (reader_opts.get_true_values().size() != 0) {
+  if (not reader_opts.get_true_values().empty()) {
     parse_opts.trie_true =
       cudf::detail::create_serialized_trie(reader_opts.get_true_values(), stream);
   }
 
   // Handle user-defined false values, whereby field data is substituted with a
   // boolean false or numeric `0` value
-  if (reader_opts.get_false_values().size() != 0) {
+  if (not reader_opts.get_false_values().empty()) {
     parse_opts.trie_false =
       cudf::detail::create_serialized_trie(reader_opts.get_false_values(), stream);
   }

cpp/src/io/json/json_column.cu

@@ -958,7 +958,7 @@ table_with_metadata device_parse_nested_json(device_span<SymbolT const> d_input,
     options.is_enabled_lines() ? root_column : root_column.child_columns.begin()->second;
 
   // Zero row entries
-  if (data_root.type == json_col_t::ListColumn && data_root.child_columns.size() == 0) {
+  if (data_root.type == json_col_t::ListColumn && data_root.child_columns.empty()) {
     return table_with_metadata{std::make_unique<table>(std::vector<std::unique_ptr<column>>{})};
   }
 

cpp/src/io/json/legacy/reader_impl.cu

@@ -438,7 +438,7 @@ std::vector<data_type> get_data_types(json_reader_options const& reader_opts,
         }},
       reader_opts.get_dtypes());
   } else {
-    CUDF_EXPECTS(rec_starts.size() != 0, "No data available for data type inference.\n");
+    CUDF_EXPECTS(not rec_starts.empty(), "No data available for data type inference.\n");
     auto const num_columns       = column_names.size();
     auto const do_set_null_count = column_map->capacity() > 0;
 
@@ -612,7 +612,7 @@ table_with_metadata read_json(host_span<std::unique_ptr<datasource>> sources,
     sources, reader_opts.get_compression(), range_offset, range_size, range_size_padded);
   host_span<char const> h_data{reinterpret_cast<char const*>(h_raw_data.data()), h_raw_data.size()};
 
-  CUDF_EXPECTS(h_data.size() != 0, "Ingest failed: uncompressed input data has zero size.\n");
+  CUDF_EXPECTS(not h_data.empty(), "Ingest failed: uncompressed input data has zero size.\n");
 
   auto d_data = rmm::device_uvector<char>(0, stream);
 
@@ -629,7 +629,7 @@ table_with_metadata read_json(host_span<std::unique_ptr<datasource>> sources,
     d_data = upload_data_to_device(reader_opts, h_data, rec_starts, stream);
   }
 
-  CUDF_EXPECTS(d_data.size() != 0, "Error uploading input data to the GPU.\n");
+  CUDF_EXPECTS(not d_data.is_empty(), "Error uploading input data to the GPU.\n");
 
   auto column_names_and_map =
     get_column_names_and_map(parse_opts.view(), h_data, rec_starts, d_data, stream);

cpp/src/io/json/nested_json_gpu.cu

@@ -1647,7 +1647,7 @@ void make_json_column(json_column& root_column,
         CUDF_EXPECTS(current_data_path.top().column->child_columns.size() <= 1,
                      "Encountered a list column with more than a single child column");
         // The child column has yet to be created
-        if (current_data_path.top().column->child_columns.size() == 0) {
+        if (current_data_path.top().column->child_columns.empty()) {
           current_data_path.top().column->child_columns.emplace(std::string{list_child_name},
                                                                 json_column{json_col_t::Unknown});
           current_data_path.top().column->column_order.push_back(list_child_name);
@@ -2119,7 +2119,7 @@ table_with_metadata host_parse_nested_json(device_span<SymbolT const> d_input,
     new_line_delimited_json ? root_column : root_column.child_columns.begin()->second;
 
   // Zero row entries
-  if (data_root.type == json_col_t::ListColumn && data_root.child_columns.size() == 0) {
+  if (data_root.type == json_col_t::ListColumn && data_root.child_columns.empty()) {
     return table_with_metadata{std::make_unique<table>(std::vector<std::unique_ptr<column>>{})};
   }
 

cpp/src/io/orc/reader_impl.cu

@@ -149,7 +149,7 @@ std::size_t gather_stream_info(std::size_t stripe_index,
       // for each of its fields. There is only a PRESENT stream, which
       // needs to be included for the reader.
       auto const schema_type = types[column_id];
-      if (schema_type.subtypes.size() != 0) {
+      if (not schema_type.subtypes.empty()) {
         if (schema_type.kind == orc::STRUCT && stream.kind == orc::PRESENT) {
           for (auto const& idx : schema_type.subtypes) {
             auto child_idx = (idx < orc2gdf.size()) ? orc2gdf[idx] : -1;
@@ -249,7 +249,7 @@ rmm::device_buffer decompress_stripe_data(
   // Required by `gpuDecodeOrcColumnData`.
   rmm::device_buffer decomp_data(
     cudf::util::round_up_safe(total_decomp_size, BUFFER_PADDING_MULTIPLE), stream);
-  if (decomp_data.size() == 0) { return decomp_data; }
+  if (decomp_data.is_empty()) { return decomp_data; }
 
   rmm::device_uvector<device_span<uint8_t const>> inflate_in(
     num_compressed_blocks + num_uncompressed_blocks, stream);
@@ -1232,7 +1232,7 @@ table_with_metadata reader::impl::read(uint64_t skip_rows,
       CUDF_EXPECTS(task.first.get() == task.second, "Unexpected discrepancy in bytes read.");
     }
 
-    if (stripe_data.size() == 0) { continue; }
+    if (stripe_data.empty()) { continue; }
 
     // Process dataset chunk pages into output columns
     auto row_groups =

cpp/src/io/orc/writer_impl.cu

@@ -2625,7 +2625,7 @@ void writer::impl::close()
                  });
 
   // Write statistics metadata
-  if (_orc_meta.stripeStats.size() != 0) {
+  if (not _orc_meta.stripeStats.empty()) {
     ProtobufWriter pbw((_compression_kind != NONE) ? 3 : 0);
     pbw.write(_orc_meta);
     add_uncompressed_block_headers(_compression_kind, _compression_blocksize, pbw.buffer());

cpp/src/io/parquet/compact_protocol_writer.cpp

@@ -31,8 +31,8 @@ size_t CompactProtocolWriter::write(FileMetaData const& f)
   c.field_struct_list(2, f.schema);
   c.field_int(3, f.num_rows);
   c.field_struct_list(4, f.row_groups);
-  if (f.key_value_metadata.size() != 0) { c.field_struct_list(5, f.key_value_metadata); }
-  if (f.created_by.size() != 0) { c.field_string(6, f.created_by); }
+  if (not f.key_value_metadata.empty()) { c.field_struct_list(5, f.key_value_metadata); }
+  if (not f.created_by.empty()) { c.field_string(6, f.created_by); }
   if (f.column_order_listsize != 0) {
     // Dummy list of struct containing an empty field1 struct
     c.put_field_header(7, c.current_field(), ST_FLD_LIST);
@@ -167,14 +167,14 @@ size_t CompactProtocolWriter::write(KeyValue const& k)
 {
   CompactProtocolFieldWriter c(*this);
   c.field_string(1, k.key);
-  if (k.value.size() != 0) { c.field_string(2, k.value); }
+  if (not k.value.empty()) { c.field_string(2, k.value); }
   return c.value();
 }
 
 size_t CompactProtocolWriter::write(ColumnChunk const& s)
 {
   CompactProtocolFieldWriter c(*this);
-  if (s.file_path.size() != 0) { c.field_string(1, s.file_path); }
+  if (not s.file_path.empty()) { c.field_string(1, s.file_path); }
   c.field_int(2, s.file_offset);
   c.field_struct(3, s.meta_data);
   if (s.offset_index_length != 0) {
@@ -208,12 +208,12 @@ size_t CompactProtocolWriter::write(ColumnChunkMetaData const& s)
 size_t CompactProtocolWriter::write(Statistics const& s)
 {
   CompactProtocolFieldWriter c(*this);
-  if (s.max.size() != 0) { c.field_binary(1, s.max); }
-  if (s.min.size() != 0) { c.field_binary(2, s.min); }
+  if (not s.max.empty()) { c.field_binary(1, s.max); }
+  if (not s.min.empty()) { c.field_binary(2, s.min); }
   if (s.null_count != -1) { c.field_int(3, s.null_count); }
   if (s.distinct_count != -1) { c.field_int(4, s.distinct_count); }
-  if (s.max_value.size() != 0) { c.field_binary(5, s.max_value); }
-  if (s.min_value.size() != 0) { c.field_binary(6, s.min_value); }
+  if (not s.max_value.empty()) { c.field_binary(5, s.max_value); }
+  if (not s.min_value.empty()) { c.field_binary(6, s.min_value); }
   return c.value();
 }
 

cpp/src/io/parquet/reader_impl.cpp

@@ -328,7 +328,7 @@ void reader::impl::prepare_data(int64_t skip_rows,
   auto const [skip_rows_corrected, num_rows_corrected, row_groups_info] =
     _metadata->select_row_groups(row_group_indices, skip_rows, num_rows, output_types, filter);
 
-  if (num_rows_corrected > 0 && row_groups_info.size() != 0 && _input_columns.size() != 0) {
+  if (num_rows_corrected > 0 && not row_groups_info.empty() && not _input_columns.empty()) {
     load_and_decompress_data(row_groups_info, num_rows_corrected);
     preprocess_pages(
       skip_rows_corrected, num_rows_corrected, uses_custom_row_bounds, _chunk_read_limit);
@@ -368,7 +368,7 @@ table_with_metadata reader::impl::read_chunk_internal(
   auto out_columns = std::vector<std::unique_ptr<column>>{};
   out_columns.reserve(_output_buffers.size());
 
-  if (!has_next() || _chunk_read_info.size() == 0) {
+  if (!has_next() || _chunk_read_info.empty()) {
     return finalize_output(out_metadata, out_columns, filter);
   }
 

cpp/src/io/parquet/writer_impl.cu

@@ -202,7 +202,7 @@ parquet::Compression to_parquet_compression(compression_type compression)
  */
 size_t column_size(column_view const& column, rmm::cuda_stream_view stream)
 {
-  if (column.size() == 0) { return 0; }
+  if (column.is_empty()) { return 0; }
 
   if (is_fixed_width(column.type())) {
     return size_of(column.type()) * column.size();
@@ -573,7 +573,7 @@ std::vector<schema_tree_node> construct_schema_tree(
         CUDF_EXPECTS(col_meta.num_children() == 2 or col_meta.num_children() == 0,
                      "Binary column's corresponding metadata should have zero or two children!");
         if (col_meta.num_children() > 0) {
-          CUDF_EXPECTS(col->children[lists_column_view::child_column_index]->children.size() == 0,
+          CUDF_EXPECTS(col->children[lists_column_view::child_column_index]->children.empty(),
                        "Binary column must not be nested!");
         }
 
@@ -859,7 +859,7 @@ parquet_column_view::parquet_column_view(schema_tree_node const& schema_node,
 
   _is_list = (_max_rep_level > 0);
 
-  if (cudf_col.size() == 0) { return; }
+  if (cudf_col.is_empty()) { return; }
 
   if (_is_list) {
     // Top level column's offsets are not applied to all children. Get the effective offset and
@@ -1103,7 +1103,7 @@ build_chunk_dictionaries(hostdevice_2dvector<gpu::EncColumnChunk>& chunks,
   std::vector<rmm::device_uvector<size_type>> dict_data;
   std::vector<rmm::device_uvector<size_type>> dict_index;
 
-  if (h_chunks.size() == 0) { return std::pair(std::move(dict_data), std::move(dict_index)); }
+  if (h_chunks.empty()) { return std::pair(std::move(dict_data), std::move(dict_index)); }
 
   if (dict_policy == dictionary_policy::NEVER) {
     thrust::for_each(
@@ -2369,11 +2369,11 @@ std::unique_ptr<std::vector<uint8_t>> writer::merge_row_group_metadata(
     }
   }
   // Reader doesn't currently populate column_order, so infer it here
-  if (md.row_groups.size() != 0) {
+  if (not md.row_groups.empty()) {
     auto const is_valid_stats = [](auto const& stats) {
-      return stats.max.size() != 0 || stats.min.size() != 0 || stats.null_count != -1 ||
-             stats.distinct_count != -1 || stats.max_value.size() != 0 ||
-             stats.min_value.size() != 0;
+      return not stats.max.empty() || not stats.min.empty() || stats.null_count != -1 ||
+             stats.distinct_count != -1 || not stats.max_value.empty() ||
+             not stats.min_value.empty();
     };
 
     uint32_t num_columns = static_cast<uint32_t>(md.row_groups[0].columns.size());

cpp/src/io/utilities/column_buffer.cpp

@@ -68,7 +68,7 @@ std::unique_ptr<column> inline_column_buffer::make_string_column_impl(rmm::cuda_
   // no need for copies, just transfer ownership of the data_buffers to the columns
   auto const state = mask_state::UNALLOCATED;
   auto str_col =
-    _string_data.size() == 0
+    _string_data.is_empty()
       ? make_empty_column(data_type{type_id::INT8})
       : std::make_unique<column>(data_type{type_id::INT8},
                                  string_size(),

cpp/src/io/utilities/hostdevice_vector.hpp

@@ -94,6 +94,7 @@ class hostdevice_vector {
   [[nodiscard]] size_t capacity() const noexcept { return d_data.size(); }
   [[nodiscard]] size_t size() const noexcept { return current_size; }
   [[nodiscard]] size_t size_bytes() const noexcept { return sizeof(T) * size(); }
+  [[nodiscard]] bool empty() const noexcept { return size() == 0; }
 
   [[nodiscard]] T& operator[](size_t i) { return host_data[i]; }
   [[nodiscard]] T const& operator[](size_t i) const { return host_data[i]; }