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Remove using namespace cudf; from libcudf gtests source #13089

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Apr 11, 2023
Merged

Remove using namespace cudf; from libcudf gtests source #13089

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ad0a235
Remove using namespace cudf; from gtests
davidwendt Apr 7, 2023
45a9a73
Merge branch 'branch-23.06' into remove-using-namespace-cudf
davidwendt Apr 10, 2023
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14 changes: 7 additions & 7 deletions cpp/tests/io/orc_test.cpp
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Expand Up @@ -613,13 +613,13 @@ TEST_F(OrcWriterTest, negTimestampsNano)
// seconds from UNIX epoch is read as that timestamp + 1 second. We mimic that behavior and so
// this test has to hardcode test values which are < -1 second.
// Details: https://github.com/rapidsai/cudf/pull/5529#issuecomment-648768925
using namespace cudf::test;
auto timestamps_ns = fixed_width_column_wrapper<cudf::timestamp_ns, cudf::timestamp_ns::rep>{
-131968727238000000,
-1530705634500000000,
-1674638741932929000,
};
table_view expected({timestamps_ns});
auto timestamps_ns =
cudf::test::fixed_width_column_wrapper<cudf::timestamp_ns, cudf::timestamp_ns::rep>{
-131968727238000000,
-1530705634500000000,
-1674638741932929000,
};
cudf::table_view expected({timestamps_ns});

auto filepath = temp_env->get_temp_filepath("OrcNegTimestamp.orc");
cudf::io::orc_writer_options out_opts =
Expand Down
128 changes: 63 additions & 65 deletions cpp/tests/lists/extract_tests.cpp
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Expand Up @@ -271,162 +271,160 @@ TYPED_TEST_SUITE(ListsExtractColumnIndicesTypedTest, cudf::test::FixedWidthTypes

TYPED_TEST(ListsExtractColumnIndicesTypedTest, ExtractElement)
{
using namespace cudf;
using namespace cudf::lists;
using namespace cudf::test;
using namespace cudf::test::iterators;
using LCW = lists_column_wrapper<TypeParam, int32_t>;
using FWCW = fixed_width_column_wrapper<TypeParam, int32_t>;
using indices = fixed_width_column_wrapper<offset_type>;
using LCW = cudf::test::lists_column_wrapper<TypeParam, int32_t>;
using FWCW = cudf::test::fixed_width_column_wrapper<TypeParam, int32_t>;
using indices = cudf::test::fixed_width_column_wrapper<cudf::offset_type>;

auto input_column =
LCW({LCW{3, 2, 1}, LCW{}, LCW{30, 20, 10, 50}, LCW{100, 120}, LCW{0}, LCW{}}, null_at(1));
auto input = lists_column_view(input_column);
auto input_column = LCW({LCW{3, 2, 1}, LCW{}, LCW{30, 20, 10, 50}, LCW{100, 120}, LCW{0}, LCW{}},
cudf::test::iterators::null_at(1));
auto input = cudf::lists_column_view(input_column);

{
// Test fetching first element.
auto result = extract_list_element(input, indices{0, 0, 0, 0, 0, 0});
auto expected = FWCW({3, 0, 30, 100, 0, 0}, nulls_at({1, 5}));
auto result = cudf::lists::extract_list_element(input, indices{0, 0, 0, 0, 0, 0});
auto expected = FWCW({3, 0, 30, 100, 0, 0}, cudf::test::iterators::nulls_at({1, 5}));
CUDF_TEST_EXPECT_COLUMNS_EQUAL(expected, *result);
}
{
// Test fetching last element.
auto result = extract_list_element(input, indices{2, 0, 3, 1, 0, 0});
auto expected = FWCW({1, 0, 50, 120, 0, 0}, nulls_at({1, 5}));
auto result = cudf::lists::extract_list_element(input, indices{2, 0, 3, 1, 0, 0});
auto expected = FWCW({1, 0, 50, 120, 0, 0}, cudf::test::iterators::nulls_at({1, 5}));
CUDF_TEST_EXPECT_COLUMNS_EQUAL(expected, *result);
}
{
// Test fetching *all* out of bounds.
auto result = extract_list_element(input, indices{9, 9, 9, 9, 9, 9});
auto expected = FWCW({0, 0, 0, 0, 0, 0}, all_nulls());
auto result = cudf::lists::extract_list_element(input, indices{9, 9, 9, 9, 9, 9});
auto expected = FWCW({0, 0, 0, 0, 0, 0}, cudf::test::iterators::all_nulls());
CUDF_TEST_EXPECT_COLUMNS_EQUAL(expected, *result);
}
{
// Test fetching first from the end.
auto result = extract_list_element(input, indices{-1, -1, -1, -1, -1, -1});
auto expected = FWCW({1, 0, 50, 120, 0, 0}, nulls_at({1, 5}));
auto result = cudf::lists::extract_list_element(input, indices{-1, -1, -1, -1, -1, -1});
auto expected = FWCW({1, 0, 50, 120, 0, 0}, cudf::test::iterators::nulls_at({1, 5}));
CUDF_TEST_EXPECT_COLUMNS_EQUAL(expected, *result);
}
{
// Test fetching last from the end.
auto result = extract_list_element(input, indices{-3, 0, -4, -2, -1, 0});
auto expected = FWCW({3, 0, 30, 100, 0, 0}, nulls_at({1, 5}));
auto result = cudf::lists::extract_list_element(input, indices{-3, 0, -4, -2, -1, 0});
auto expected = FWCW({3, 0, 30, 100, 0, 0}, cudf::test::iterators::nulls_at({1, 5}));
CUDF_TEST_EXPECT_COLUMNS_EQUAL(expected, *result);
}
{
// Test fetching *all* negative out of bounds.
auto result = extract_list_element(input, indices{-9, -9, -9, -9, -9, -9});
auto expected = FWCW({0, 0, 0, 0, 0, 0}, all_nulls());
auto result = cudf::lists::extract_list_element(input, indices{-9, -9, -9, -9, -9, -9});
auto expected = FWCW({0, 0, 0, 0, 0, 0}, cudf::test::iterators::all_nulls());
CUDF_TEST_EXPECT_COLUMNS_EQUAL(expected, *result);
}
{
// Test mixed indices.
auto result = extract_list_element(input, indices{-2, 0, 3, -1, 0, 0});
auto expected = FWCW({2, 0, 50, 120, 0, 0}, nulls_at({1, 5}));
auto result = cudf::lists::extract_list_element(input, indices{-2, 0, 3, -1, 0, 0});
auto expected = FWCW({2, 0, 50, 120, 0, 0}, cudf::test::iterators::nulls_at({1, 5}));
CUDF_TEST_EXPECT_COLUMNS_EQUAL(expected, *result);
}
{
// Test possibly null indices.
auto result = extract_list_element(input, indices{{-2, 0, 3, -1, 0, 0}, nulls_at({2, 4})});
auto expected = FWCW({2, 0, 50, 120, 0, 0}, nulls_at({1, 2, 4, 5}));
auto result = cudf::lists::extract_list_element(
input, indices{{-2, 0, 3, -1, 0, 0}, cudf::test::iterators::nulls_at({2, 4})});
auto expected = FWCW({2, 0, 50, 120, 0, 0}, cudf::test::iterators::nulls_at({1, 2, 4, 5}));
CUDF_TEST_EXPECT_COLUMNS_EQUAL(expected, *result);
}
}

TYPED_TEST(ListsExtractColumnIndicesTypedTest, FailureCases)
{
using namespace cudf;
using namespace cudf::lists;
using namespace cudf::test;
using namespace cudf::test::iterators;
using LCW = lists_column_wrapper<TypeParam, int32_t>;
using indices = fixed_width_column_wrapper<offset_type>;
using LCW = cudf::test::lists_column_wrapper<TypeParam, int32_t>;
using indices = cudf::test::fixed_width_column_wrapper<cudf::offset_type>;

{
// Non-empty input, with mismatched size of indices.
auto input_column =
LCW({LCW{3, 2, 1}, LCW{}, LCW{30, 20, 10, 50}, LCW{100, 120}, LCW{0}, LCW{}}, null_at(1));
auto input = lists_column_view(input_column);
LCW({LCW{3, 2, 1}, LCW{}, LCW{30, 20, 10, 50}, LCW{100, 120}, LCW{0}, LCW{}},
cudf::test::iterators::null_at(1));
auto input = cudf::lists_column_view(input_column);

EXPECT_THROW(extract_list_element(input, indices{0, 1, 2}), cudf::logic_error);
EXPECT_THROW(cudf::lists::extract_list_element(input, indices{0, 1, 2}), cudf::logic_error);
}
{
// Non-empty input, with empty indices.
auto input_column =
LCW({LCW{3, 2, 1}, LCW{}, LCW{30, 20, 10, 50}, LCW{100, 120}, LCW{0}, LCW{}}, null_at(1));
auto input = lists_column_view(input_column);
LCW({LCW{3, 2, 1}, LCW{}, LCW{30, 20, 10, 50}, LCW{100, 120}, LCW{0}, LCW{}},
cudf::test::iterators::null_at(1));
auto input = cudf::lists_column_view(input_column);

EXPECT_THROW(extract_list_element(input, indices{}), cudf::logic_error);
EXPECT_THROW(cudf::lists::extract_list_element(input, indices{}), cudf::logic_error);
}
{
// Empty input, with mismatched size of indices.
auto input_column = LCW{};
auto input = lists_column_view(input_column);
EXPECT_THROW(extract_list_element(input, indices{0, 1, 2}), cudf::logic_error);
auto input = cudf::lists_column_view(input_column);
EXPECT_THROW(cudf::lists::extract_list_element(input, indices{0, 1, 2}), cudf::logic_error);
}
}

TEST_F(ListsExtractColumnIndicesTest, ExtractStrings)
{
using namespace cudf;
using namespace cudf::lists;
using namespace cudf::test;
using namespace cudf::test::iterators;
using LCW = lists_column_wrapper<string_view>;
using strings = strings_column_wrapper;
using indices = fixed_width_column_wrapper<offset_type>;
using LCW = cudf::test::lists_column_wrapper<cudf::string_view>;
using strings = cudf::test::strings_column_wrapper;
using indices = cudf::test::fixed_width_column_wrapper<cudf::offset_type>;

auto input_column = LCW(
{LCW{"3", "2", "1"}, LCW{}, LCW{"30", "20", "10", "50"}, LCW{"100", "120"}, LCW{"0"}, LCW{}},
null_at(1));
auto input = lists_column_view(input_column);
cudf::test::iterators::null_at(1));
auto input = cudf::lists_column_view(input_column);

{
// Test fetching first element.
auto result = extract_list_element(input, indices{0, 0, 0, 0, 0, 0});
auto expected = strings({"3", "", "30", "100", "0", ""}, nulls_at({1, 5}));
auto result = cudf::lists::extract_list_element(input, indices{0, 0, 0, 0, 0, 0});
auto expected =
strings({"3", "", "30", "100", "0", ""}, cudf::test::iterators::nulls_at({1, 5}));
CUDF_TEST_EXPECT_COLUMNS_EQUAL(expected, *result);
}
{
// Test fetching last element.
auto result = extract_list_element(input, indices{2, 0, 3, 1, 0, 0});
auto expected = strings({"1", "", "50", "120", "0", ""}, nulls_at({1, 5}));
auto result = cudf::lists::extract_list_element(input, indices{2, 0, 3, 1, 0, 0});
auto expected =
strings({"1", "", "50", "120", "0", ""}, cudf::test::iterators::nulls_at({1, 5}));
CUDF_TEST_EXPECT_COLUMNS_EQUAL(expected, *result);
}
{
// Test fetching *all* out of bounds.
auto result = extract_list_element(input, indices{9, 9, 9, 9, 9, 9});
auto expected = strings({"", "", "", "", "", ""}, all_nulls());
auto result = cudf::lists::extract_list_element(input, indices{9, 9, 9, 9, 9, 9});
auto expected = strings({"", "", "", "", "", ""}, cudf::test::iterators::all_nulls());
CUDF_TEST_EXPECT_COLUMNS_EQUAL(expected, *result);
}
{
// Test fetching first from the end.
auto result = extract_list_element(input, indices{-1, -1, -1, -1, -1, -1});
auto expected = strings({"1", "", "50", "120", "0", ""}, nulls_at({1, 5}));
auto result = cudf::lists::extract_list_element(input, indices{-1, -1, -1, -1, -1, -1});
auto expected =
strings({"1", "", "50", "120", "0", ""}, cudf::test::iterators::nulls_at({1, 5}));
CUDF_TEST_EXPECT_COLUMNS_EQUAL(expected, *result);
}
{
// Test fetching last from the end.
auto result = extract_list_element(input, indices{-3, 0, -4, -2, -1, 0});
auto expected = strings({"3", "", "30", "100", "0", ""}, nulls_at({1, 5}));
auto result = cudf::lists::extract_list_element(input, indices{-3, 0, -4, -2, -1, 0});
auto expected =
strings({"3", "", "30", "100", "0", ""}, cudf::test::iterators::nulls_at({1, 5}));
CUDF_TEST_EXPECT_COLUMNS_EQUAL(expected, *result);
}
{
// Test fetching *all* negative out of bounds.
auto result = extract_list_element(input, indices{-9, -9, -9, -9, -9, -9});
auto expected = strings({"", "", "", "", "", ""}, all_nulls());
auto result = cudf::lists::extract_list_element(input, indices{-9, -9, -9, -9, -9, -9});
auto expected = strings({"", "", "", "", "", ""}, cudf::test::iterators::all_nulls());
CUDF_TEST_EXPECT_COLUMNS_EQUAL(expected, *result);
}
{
// Test mixed indices.
auto result = extract_list_element(input, indices{-2, 0, 3, -1, 0, 0});
auto expected = strings({"2", "", "50", "120", "0", ""}, nulls_at({1, 5}));
auto result = cudf::lists::extract_list_element(input, indices{-2, 0, 3, -1, 0, 0});
auto expected =
strings({"2", "", "50", "120", "0", ""}, cudf::test::iterators::nulls_at({1, 5}));
CUDF_TEST_EXPECT_COLUMNS_EQUAL(expected, *result);
}
{
// Test possibly null indices.
auto result = extract_list_element(input, indices{{-2, 0, 3, -1, 0, 0}, nulls_at({2, 4})});
auto expected = strings({"2", "", "50", "120", "", ""}, nulls_at({1, 2, 4, 5}));
auto result = cudf::lists::extract_list_element(
input, indices{{-2, 0, 3, -1, 0, 0}, cudf::test::iterators::nulls_at({2, 4})});
auto expected =
strings({"2", "", "50", "120", "", ""}, cudf::test::iterators::nulls_at({1, 2, 4, 5}));
CUDF_TEST_EXPECT_COLUMNS_EQUAL(expected, *result);
}
}
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15 changes: 8 additions & 7 deletions cpp/tests/transform/row_bit_count_test.cu
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Expand Up @@ -236,37 +236,38 @@ TEST_F(RowBitCount, StructsWithLists_RowsExceedingASingleBlock)
// column size. For what it's worth, it looks as follows:
// [ struct({0,1}), struct({2,3}), struct({4,5}), ... ]

using namespace cudf;
auto constexpr num_rows = 1024 * 2; // Exceeding a block size.

// List child column = {0, 1, 2, 3, 4, ..., 2*num_rows};
auto ints = make_numeric_column(cudf::data_type{cudf::type_id::INT32}, num_rows * 2);
auto ints = cudf::make_numeric_column(cudf::data_type{cudf::type_id::INT32}, num_rows * 2);
auto ints_view = ints->mutable_view();
thrust::tabulate(rmm::exec_policy(cudf::get_default_stream()),
ints_view.begin<int32_t>(),
ints_view.end<int32_t>(),
thrust::identity{});

// List offsets = {0, 2, 4, 6, 8, ..., num_rows*2};
auto list_offsets = make_numeric_column(cudf::data_type{cudf::type_id::INT32}, num_rows + 1);
auto list_offsets =
cudf::make_numeric_column(cudf::data_type{cudf::type_id::INT32}, num_rows + 1);
auto list_offsets_view = list_offsets->mutable_view();
thrust::tabulate(rmm::exec_policy(cudf::get_default_stream()),
list_offsets_view.begin<cudf::offset_type>(),
list_offsets_view.end<cudf::offset_type>(),
times_2{});

// List<int32_t> = {{0,1}, {2,3}, {4,5}, ..., {2*(num_rows-1), 2*num_rows-1}};
auto lists_column = make_lists_column(num_rows, std::move(list_offsets), std::move(ints), 0, {});
auto lists_column =
cudf::make_lists_column(num_rows, std::move(list_offsets), std::move(ints), 0, {});

// Struct<List<int32_t>.
auto struct_members = std::vector<std::unique_ptr<cudf::column>>{};
struct_members.emplace_back(std::move(lists_column));
auto structs_column = make_structs_column(num_rows, std::move(struct_members), 0, {});
auto structs_column = cudf::make_structs_column(num_rows, std::move(struct_members), 0, {});

// Compute row_bit_count, and compare.
auto row_bit_counts = row_bit_count(cudf::table_view{{structs_column->view()}});
auto row_bit_counts = cudf::row_bit_count(cudf::table_view{{structs_column->view()}});
auto expected_row_bit_counts =
make_numeric_column(cudf::data_type{cudf::type_id::INT32}, num_rows);
cudf::make_numeric_column(cudf::data_type{cudf::type_id::INT32}, num_rows);
thrust::fill_n(rmm::exec_policy(cudf::get_default_stream()),
expected_row_bit_counts->mutable_view().begin<int32_t>(),
num_rows,
Expand Down
41 changes: 14 additions & 27 deletions cpp/tests/types/traits_test.cpp
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Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
/*
* Copyright (c) 2019-2020, NVIDIA CORPORATION.
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
Expand Down Expand Up @@ -47,47 +47,34 @@ TYPED_TEST_SUITE(TypedTraitsTest, cudf::test::AllTypes);

TEST_F(TraitsTest, NumericDataTypesAreNumeric)
{
using namespace cudf::test;
EXPECT_TRUE(std::all_of(numeric_type_ids.begin(), numeric_type_ids.end(), [](cudf::type_id type) {
return cudf::is_numeric(cudf::data_type{type});
}));
EXPECT_TRUE(
std::all_of(cudf::test::numeric_type_ids.begin(),
cudf::test::numeric_type_ids.end(),
[](cudf::type_id type) { return cudf::is_numeric(cudf::data_type{type}); }));
}

TEST_F(TraitsTest, TimestampDataTypesAreNotNumeric)
{
using namespace cudf::test;
EXPECT_TRUE(
std::none_of(timestamp_type_ids.begin(), timestamp_type_ids.end(), [](cudf::type_id type) {
return cudf::is_numeric(cudf::data_type{type});
}));
}

/*
These types are not yet supported by the type dispatcher
TEST_F(TraitsTest, NonNumericDataTypesAreNotNumeric) {
using namespace cudf::test;
EXPECT_TRUE(std::none_of(
non_numeric_type_ids.begin(), non_numeric_type_ids.end(),
[](cudf::type_id type) { return cudf::is_numeric(cudf::data_type{type}); }));
std::none_of(cudf::test::timestamp_type_ids.begin(),
cudf::test::timestamp_type_ids.end(),
[](cudf::type_id type) { return cudf::is_numeric(cudf::data_type{type}); }));
}
*/

TEST_F(TraitsTest, NumericDataTypesAreNotTimestamps)
{
using namespace cudf::test;
EXPECT_TRUE(
std::none_of(numeric_type_ids.begin(), numeric_type_ids.end(), [](cudf::type_id type) {
return cudf::is_timestamp(cudf::data_type{type});
}));
std::none_of(cudf::test::numeric_type_ids.begin(),
cudf::test::numeric_type_ids.end(),
[](cudf::type_id type) { return cudf::is_timestamp(cudf::data_type{type}); }));
}

TEST_F(TraitsTest, TimestampDataTypesAreTimestamps)
{
using namespace cudf::test;
EXPECT_TRUE(
std::all_of(timestamp_type_ids.begin(), timestamp_type_ids.end(), [](cudf::type_id type) {
return cudf::is_timestamp(cudf::data_type{type});
}));
std::all_of(cudf::test::timestamp_type_ids.begin(),
cudf::test::timestamp_type_ids.end(),
[](cudf::type_id type) { return cudf::is_timestamp(cudf::data_type{type}); }));
}

TYPED_TEST(TypedTraitsTest, RelationallyComparable)
Expand Down
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