Add clang-tidy to libcudf

.clang-tidy

@@ -0,0 +1,27 @@
+---
+Checks:    
+      'modernize-*,
+       -modernize-use-equals-default,
+       -modernize-concat-nested-namespaces'
+
+      # -modernize-use-equals-default        # auto-fix is broken (doesn't insert =default correctly)
+      # -modernize-concat-nested-namespaces  # auto-fix is broken (can delete code)
+
+WarningsAsErrors: ''
+HeaderFilterRegex: ''
+AnalyzeTemporaryDtors: false
+FormatStyle:     none
+CheckOptions:
+ - key:             modernize-loop-convert.MaxCopySize
+   value:           '16'
+ - key:             modernize-loop-convert.MinConfidence
+   value:           reasonable
+ - key:             modernize-loop-convert.NamingStyle
+   value:           CamelCase
+ - key:             modernize-pass-by-value.IncludeStyle
+   value:           llvm
+ - key:             modernize-replace-auto-ptr.IncludeStyle
+   value:           llvm
+ - key:             modernize-use-nullptr.NullMacros
+   value:           'NULL'
+...

cpp/benchmarks/common/generate_benchmark_input.cpp

@@ -44,7 +44,7 @@ auto deterministic_engine(unsigned seed) { return std::mt19937{seed}; }
  *  Computes the mean value for a distribution of given type and value bounds.
  */
 template <typename T>
-T get_distribution_mean(distribution_params<T> const& dist)
+auto get_distribution_mean(distribution_params<T> const& dist) -> T
 {
   switch (dist.id) {
     case distribution_id::NORMAL:
@@ -77,14 +77,14 @@ std::enable_if_t<!cudf::is_fixed_width<T>(), size_t> avg_element_size(data_profi
 }
 
 template <>
-size_t avg_element_size<cudf::string_view>(data_profile const& profile)
+auto avg_element_size<cudf::string_view>(data_profile const& profile) -> size_t
 {
   auto const dist = profile.get_distribution_params<cudf::string_view>().length_params;
   return get_distribution_mean(dist);
 }
 
 template <>
-size_t avg_element_size<cudf::list_view>(data_profile const& profile)
+auto avg_element_size<cudf::list_view>(data_profile const& profile) -> size_t
 {
   auto const dist_params       = profile.get_distribution_params<cudf::list_view>();
   auto const single_level_mean = get_distribution_mean(dist_params.length_params);
@@ -94,13 +94,13 @@ size_t avg_element_size<cudf::list_view>(data_profile const& profile)
 
 struct avg_element_size_fn {
   template <typename T>
-  size_t operator()(data_profile const& profile)
+  auto operator()(data_profile const& profile) -> size_t
   {
     return avg_element_size<T>(profile);
   }
 };
 
-size_t avg_element_bytes(data_profile const& profile, cudf::type_id tid)
+auto avg_element_bytes(data_profile const& profile, cudf::type_id tid) -> size_t
 {
   return cudf::type_dispatcher(cudf::data_type(tid), avg_element_size_fn{}, profile);
 }
@@ -222,7 +222,7 @@ struct random_value_fn<T, typename std::enable_if_t<std::is_same_v<T, bool>>> {
   bool operator()(std::mt19937& engine) { return b_dist(engine); }
 };
 
-size_t null_mask_size(cudf::size_type num_rows)
+auto null_mask_size(cudf::size_type num_rows) -> size_t
 {
   constexpr size_t bitmask_bits = cudf::detail::size_in_bits<cudf::bitmask_type>();
   return (num_rows + bitmask_bits - 1) / bitmask_bits;
@@ -428,7 +428,7 @@ std::unique_ptr<cudf::column> create_random_column<cudf::string_view>(data_profi
   auto const avg_run_len = profile.get_avg_run_length();
   auto run_len_dist      = create_run_length_dist(avg_run_len);
 
-  string_column_data out_col(num_rows, num_rows * avg_string_len);
+  auto out_col = string_column_data(num_rows, num_rows * avg_string_len);
   std::uniform_int_distribution<cudf::size_type> sample_dist{0, cardinality - 1};
   for (cudf::size_type row = 0; row < num_rows; ++row) {
     if (cardinality == 0) {

cpp/benchmarks/common/generate_benchmark_input.hpp

@@ -300,8 +300,8 @@ class data_profile {
 
   auto get_bool_probability() const { return bool_probability; }
   auto get_null_frequency() const { return null_frequency; };
-  auto get_cardinality() const { return cardinality; };
-  auto get_avg_run_length() const { return avg_run_length; };
+  [[nodiscard]] auto get_cardinality() const { return cardinality; };
+  [[nodiscard]] auto get_avg_run_length() const { return avg_run_length; };
 
   // Users should pass integral values for bounds when setting the parameters for types that have
   // discrete distributions (integers, strings, lists). Otherwise the call with have no effect.

cpp/benchmarks/copying/contiguous_split_benchmark.cu

@@ -51,10 +51,12 @@ void BM_contiguous_split_common(benchmark::State& state,
   std::vector<std::unique_ptr<cudf::column>> columns(src_cols.size());
   std::transform(src_cols.begin(), src_cols.end(), columns.begin(), [](T& in) {
     auto ret = in.release();
-    ret->null_count();
+    // computing the null count is not a part of the benchmark's target code path, and we want the
+    // property to be pre-computed so that we measure the performance of only the intended code path
+    [[maybe_unused]] auto const nulls = ret->null_count();
     return ret;
   });
-  cudf::table src_table(std::move(columns));
+  auto const src_table = cudf::table(std::move(columns));
 
   for (auto _ : state) {
     cuda_event_timer raii(state, true);  // flush_l2_cache = true, stream = 0
@@ -105,7 +107,7 @@ void BM_contiguous_split(benchmark::State& state)
 class ContiguousSplitStrings : public cudf::benchmark {
 };
 
-int rand_range(int r)
+auto rand_range(int r) -> int
 {
   return static_cast<int>((static_cast<float>(rand()) / static_cast<float>(RAND_MAX)) *
                           (float)(r - 1));

cpp/benchmarks/copying/gather_benchmark.cu

@@ -39,7 +39,7 @@ template <class TypeParam, bool coalesce>
 void BM_gather(benchmark::State& state)
 {
   const cudf::size_type source_size{(cudf::size_type)state.range(0)};
-  const cudf::size_type n_cols = (cudf::size_type)state.range(1);
+  const auto n_cols = (cudf::size_type)state.range(1);
 
   // Every element is valid
   auto data = cudf::detail::make_counting_transform_iterator(0, [](auto i) { return i; });

cpp/benchmarks/copying/scatter_benchmark.cu

@@ -40,7 +40,7 @@ template <class TypeParam, bool coalesce>
 void BM_scatter(benchmark::State& state)
 {
   const cudf::size_type source_size{(cudf::size_type)state.range(0)};
-  const cudf::size_type n_cols = (cudf::size_type)state.range(1);
+  const auto n_cols = (cudf::size_type)state.range(1);
 
   // Every element is valid
   auto data = cudf::detail::make_counting_transform_iterator(0, [](auto i) { return i; });

cpp/benchmarks/copying/shift_benchmark.cu

@@ -45,14 +45,14 @@ struct value_func {
   T* data;
   cudf::size_type offset;
 
-  __device__ T operator()(int idx) { return data[idx - offset]; }
+  __device__ auto operator()(int idx) -> T { return data[idx - offset]; }
 };
 
 struct validity_func {
   cudf::size_type size;
   cudf::size_type offset;
 
-  __device__ bool operator()(int idx)
+  __device__ auto operator()(int idx) -> bool
   {
     auto source_idx = idx - offset;
     return source_idx < 0 || source_idx >= size;

cpp/benchmarks/fixture/benchmark_fixture.hpp

@@ -68,22 +68,22 @@ inline auto make_pool()
  */
 class benchmark : public ::benchmark::Fixture {
  public:
-  virtual void SetUp(const ::benchmark::State& state)
+  void SetUp(const ::benchmark::State& state) override
   {
     mr = make_pool();
     rmm::mr::set_current_device_resource(mr.get());  // set default resource to pool
   }
 
-  virtual void TearDown(const ::benchmark::State& state)
+  void TearDown(const ::benchmark::State& state) override
   {
     // reset default resource to the initial resource
     rmm::mr::set_current_device_resource(nullptr);
     mr.reset();
   }
 
   // eliminate partial override warnings (see benchmark/benchmark.h)
-  virtual void SetUp(::benchmark::State& st) { SetUp(const_cast<const ::benchmark::State&>(st)); }
-  virtual void TearDown(::benchmark::State& st)
+  void SetUp(::benchmark::State& st) override { SetUp(const_cast<const ::benchmark::State&>(st)); }
+  void TearDown(::benchmark::State& st) override
   {
     TearDown(const_cast<const ::benchmark::State&>(st));
   }
@@ -102,7 +102,10 @@ class memory_stats_logger {
 
   ~memory_stats_logger() { rmm::mr::set_current_device_resource(existing_mr); }
 
-  size_t peak_memory_usage() const noexcept { return statistics_mr.get_bytes_counter().peak; }
+  [[nodiscard]] size_t peak_memory_usage() const noexcept
+  {
+    return statistics_mr.get_bytes_counter().peak;
+  }
 
  private:
   rmm::mr::device_memory_resource* existing_mr;

cpp/benchmarks/io/csv/csv_reader_benchmark.cpp

@@ -35,8 +35,8 @@ class CsvRead : public cudf::benchmark {
 
 void BM_csv_read_varying_input(benchmark::State& state)
 {
-  auto const data_types     = get_type_or_group(state.range(0));
-  io_type const source_type = static_cast<io_type>(state.range(1));
+  auto const data_types  = get_type_or_group(state.range(0));
+  auto const source_type = static_cast<io_type>(state.range(1));
 
   auto const tbl  = create_random_table(data_types, num_cols, table_size_bytes{data_size});
   auto const view = tbl->view();

cpp/benchmarks/io/csv/csv_writer_benchmark.cpp

@@ -35,8 +35,8 @@ class CsvWrite : public cudf::benchmark {
 
 void BM_csv_write_varying_inout(benchmark::State& state)
 {
-  auto const data_types   = get_type_or_group(state.range(0));
-  io_type const sink_type = static_cast<io_type>(state.range(1));
+  auto const data_types = get_type_or_group(state.range(0));
+  auto const sink_type  = static_cast<io_type>(state.range(1));
 
   auto const tbl  = create_random_table(data_types, num_cols, table_size_bytes{data_size});
   auto const view = tbl->view();

cpp/benchmarks/io/cuio_benchmark_common.cpp

@@ -41,7 +41,7 @@ cuio_source_sink_pair::cuio_source_sink_pair(io_type type)
 {
 }
 
-cudf_io::source_info cuio_source_sink_pair::make_source_info()
+auto cuio_source_sink_pair::make_source_info() -> cudf_io::source_info
 {
   switch (type) {
     case io_type::FILEPATH: return cudf_io::source_info(file_name);
@@ -50,7 +50,7 @@ cudf_io::source_info cuio_source_sink_pair::make_source_info()
   }
 }
 
-cudf_io::sink_info cuio_source_sink_pair::make_sink_info()
+auto cuio_source_sink_pair::make_sink_info() -> cudf_io::sink_info
 {
   switch (type) {
     case io_type::VOID: return cudf_io::sink_info();

cpp/benchmarks/io/orc/orc_reader_benchmark.cpp

@@ -40,7 +40,7 @@ void BM_orc_read_varying_input(benchmark::State& state)
   cudf::size_type const run_length  = state.range(2);
   cudf_io::compression_type const compression =
     state.range(3) ? cudf_io::compression_type::SNAPPY : cudf_io::compression_type::NONE;
-  io_type const source_type = static_cast<io_type>(state.range(4));
+  auto const source_type = static_cast<io_type>(state.range(4));
 
   data_profile table_data_profile;
   table_data_profile.set_cardinality(cardinality);

cpp/benchmarks/io/orc/orc_writer_benchmark.cpp

@@ -40,7 +40,7 @@ void BM_orc_write_varying_inout(benchmark::State& state)
   cudf::size_type const run_length  = state.range(2);
   cudf_io::compression_type const compression =
     state.range(3) ? cudf_io::compression_type::SNAPPY : cudf_io::compression_type::NONE;
-  io_type const sink_type = static_cast<io_type>(state.range(4));
+  auto const sink_type = static_cast<io_type>(state.range(4));
 
   data_profile table_data_profile;
   table_data_profile.set_cardinality(cardinality);

cpp/benchmarks/io/parquet/parquet_reader_benchmark.cpp

@@ -40,7 +40,7 @@ void BM_parq_read_varying_input(benchmark::State& state)
   cudf::size_type const run_length  = state.range(2);
   cudf_io::compression_type const compression =
     state.range(3) ? cudf_io::compression_type::SNAPPY : cudf_io::compression_type::NONE;
-  io_type const source_type = static_cast<io_type>(state.range(4));
+  auto const source_type = static_cast<io_type>(state.range(4));
 
   data_profile table_data_profile;
   table_data_profile.set_cardinality(cardinality);

cpp/benchmarks/io/parquet/parquet_writer_benchmark.cpp

@@ -40,7 +40,7 @@ void BM_parq_write_varying_inout(benchmark::State& state)
   cudf::size_type const run_length  = state.range(2);
   cudf_io::compression_type const compression =
     state.range(3) ? cudf_io::compression_type::SNAPPY : cudf_io::compression_type::NONE;
-  io_type const sink_type = static_cast<io_type>(state.range(4));
+  auto const sink_type = static_cast<io_type>(state.range(4));
 
   data_profile table_data_profile;
   table_data_profile.set_cardinality(cardinality);

cpp/benchmarks/io/text/multibyte_split_benchmark.cpp

@@ -47,10 +47,10 @@ enum data_chunk_source_type {
   host,
 };
 
-static cudf::string_scalar create_random_input(int32_t num_chars,
-                                               double delim_factor,
-                                               double deviation,
-                                               std::string delim)
+static auto create_random_input(int32_t num_chars,
+                                double delim_factor,
+                                double deviation,
+                                std::string delim) -> cudf::string_scalar
 {
   auto const num_delims      = static_cast<int32_t>((num_chars * delim_factor) / delim.size());
   auto const num_delim_chars = num_delims * delim.size();

cpp/benchmarks/iterator/iterator_benchmark.cu

@@ -31,7 +31,7 @@
 #include <random>
 
 template <typename T>
-T random_int(T min, T max)
+auto random_int(T min, T max) -> T
 {
   static unsigned seed = 13377331;
   static std::mt19937 engine{seed};
@@ -158,7 +158,8 @@ void BM_iterator(benchmark::State& state)
 
 // operator+ defined for pair iterator reduction
 template <typename T>
-__device__ thrust::pair<T, bool> operator+(thrust::pair<T, bool> lhs, thrust::pair<T, bool> rhs)
+__device__ auto operator+(thrust::pair<T, bool> lhs, thrust::pair<T, bool> rhs)
+  -> thrust::pair<T, bool>
 {
   return thrust::pair<T, bool>{lhs.first * lhs.second + rhs.first * rhs.second,
                                lhs.second + rhs.second};

cpp/benchmarks/lists/copying/scatter_lists_benchmark.cu

@@ -45,7 +45,7 @@ void BM_lists_scatter(::benchmark::State& state)
 
   const size_type base_size{(size_type)state.range(0)};
   const size_type num_elements_per_row{(size_type)state.range(1)};
-  const size_type num_rows = (size_type)ceil(double(base_size) / num_elements_per_row);
+  const auto num_rows = (size_type)ceil(double(base_size) / num_elements_per_row);
 
   auto source_base_col = make_fixed_width_column(
     data_type{type_to_id<TypeParam>()}, base_size, mask_state::UNALLOCATED, stream, mr);

cpp/benchmarks/stream_compaction/apply_boolean_mask_benchmark.cpp

@@ -47,7 +47,7 @@ void size_range(benchmark::internal::Benchmark* b)
 }
 
 template <typename T>
-T random_int(T min, T max)
+auto random_int(T min, T max) -> T
 {
   static unsigned const seed = 13377331;
   static std::mt19937 engine{seed};

cpp/benchmarks/string/factory_benchmark.cu

@@ -36,7 +36,7 @@
 namespace {
 using string_pair = thrust::pair<char const*, cudf::size_type>;
 struct string_view_to_pair {
-  __device__ string_pair operator()(thrust::pair<cudf::string_view, bool> const& p)
+  __device__ auto operator()(thrust::pair<cudf::string_view, bool> const& p) -> string_pair
   {
     return (p.second) ? string_pair{p.first.data(), p.first.size_bytes()} : string_pair{nullptr, 0};
   }

cpp/benchmarks/string/json_benchmark.cpp

@@ -28,9 +28,9 @@
 class JsonPath : public cudf::benchmark {
 };
 
-float frand() { return static_cast<float>(rand()) / static_cast<float>(RAND_MAX); }
+auto frand() -> float { return static_cast<float>(rand()) / static_cast<float>(RAND_MAX); }
 
-int rand_range(int min, int max) { return min + static_cast<int>(frand() * (max - min)); }
+auto rand_range(int min, int max) -> int { return min + static_cast<int>(frand() * (max - min)); }
 
 std::vector<std::string> Books{
   "{\n\"category\": \"reference\",\n\"author\": \"Nigel Rees\",\n\"title\": \"Sayings of the "

cpp/benchmarks/string/url_decode_benchmark.cpp

@@ -55,9 +55,8 @@ struct url_string_generator {
   }
 };
 
-cudf::test::strings_column_wrapper generate_column(cudf::size_type num_rows,
-                                                   cudf::size_type chars_per_row,
-                                                   double esc_seq_chance)
+auto generate_column(cudf::size_type num_rows, cudf::size_type chars_per_row, double esc_seq_chance)
+  -> cudf::test::strings_column_wrapper
 {
   std::mt19937 engine(1);
   url_string_generator url_gen(chars_per_row, esc_seq_chance);

cpp/benchmarks/type_dispatcher/type_dispatcher_benchmark.cu

@@ -37,7 +37,7 @@ enum FunctorType { BANDWIDTH_BOUND, COMPUTE_BOUND };
 
 template <class NotFloat, FunctorType ft, class DisableNotFloat = void>
 struct Functor {
-  static __device__ NotFloat f(NotFloat x) { return x; }
+  static __device__ auto f(NotFloat x) -> NotFloat { return x; }
 };
 
 template <class Float, FunctorType ft>
@@ -170,11 +170,11 @@ void launch_kernel(cudf::mutable_table_view input, T** d_ptr, int work_per_threa
 template <class TypeParam, FunctorType functor_type, DispatchingType dispatching_type>
 void type_dispatcher_benchmark(::benchmark::State& state)
 {
-  const cudf::size_type source_size = static_cast<cudf::size_type>(state.range(1));
+  const auto source_size = static_cast<cudf::size_type>(state.range(1));
 
-  const cudf::size_type n_cols = static_cast<cudf::size_type>(state.range(0));
+  const auto n_cols = static_cast<cudf::size_type>(state.range(0));
 
-  const cudf::size_type work_per_thread = static_cast<cudf::size_type>(state.range(2));
+  const auto work_per_thread = static_cast<cudf::size_type>(state.range(2));
 
   auto data = cudf::detail::make_counting_transform_iterator(0, [](auto i) { return i; });