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group_mean_test.cpp
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group_mean_test.cpp
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/*
* Copyright (c) 2019-2020, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include <cudf/detail/aggregation/aggregation.hpp>
#include <cudf/utilities/traits.hpp>
#include <cudf_test/base_fixture.hpp>
#include <cudf_test/column_wrapper.hpp>
#include <cudf_test/type_list_utilities.hpp>
#include <cudf_test/type_lists.hpp>
#include <tests/groupby/groupby_test_util.hpp>
#include <initializer_list>
#include <iterator>
#include <type_traits>
#include <vector>
namespace cudf {
namespace test {
template <typename V>
struct groupby_mean_test : public cudf::test::BaseFixture {
};
template <typename Target, typename Source>
std::vector<Target> convert(std::initializer_list<Source> in)
{
std::vector<Target> out(std::cbegin(in), std::cend(in));
return out;
}
using supported_types =
cudf::test::Concat<cudf::test::Types<int8_t, int16_t, int32_t, int64_t, float, double>,
cudf::test::DurationTypes>;
TYPED_TEST_CASE(groupby_mean_test, supported_types);
// clang-format off
TYPED_TEST(groupby_mean_test, basic)
{
using K = int32_t;
using V = TypeParam;
using R = cudf::detail::target_type_t<V, aggregation::MEAN>;
using RT = typename std::conditional<cudf::is_duration<R>(), int, double>::type;
fixed_width_column_wrapper<K> keys { 1, 2, 3, 1, 2, 2, 1, 3, 3, 2};
fixed_width_column_wrapper<V, int> vals { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9};
fixed_width_column_wrapper<K> expect_keys { 1, 2, 3 };
std::vector<RT> expect_v = convert<RT>({ 3., 19./4, 17./3});
fixed_width_column_wrapper<R, RT> expect_vals(expect_v.cbegin(), expect_v.cend());
auto agg = cudf::make_mean_aggregation();
test_single_agg(keys, vals, expect_keys, expect_vals, std::move(agg));
}
TYPED_TEST(groupby_mean_test, empty_cols)
{
using K = int32_t;
using V = TypeParam;
using R = cudf::detail::target_type_t<V, aggregation::MEAN>;
fixed_width_column_wrapper<K> keys { };
fixed_width_column_wrapper<V, int> vals { };
fixed_width_column_wrapper<K> expect_keys { };
fixed_width_column_wrapper<R> expect_vals { };
auto agg = cudf::make_mean_aggregation();
test_single_agg(keys, vals, expect_keys, expect_vals, std::move(agg));
}
TYPED_TEST(groupby_mean_test, zero_valid_keys)
{
using K = int32_t;
using V = TypeParam;
using R = cudf::detail::target_type_t<V, aggregation::MEAN>;
fixed_width_column_wrapper<K> keys ( { 1, 2, 3}, all_null() );
fixed_width_column_wrapper<V, int> vals { 3, 4, 5};
fixed_width_column_wrapper<K> expect_keys { };
fixed_width_column_wrapper<R> expect_vals { };
auto agg = cudf::make_mean_aggregation();
test_single_agg(keys, vals, expect_keys, expect_vals, std::move(agg));
}
TYPED_TEST(groupby_mean_test, zero_valid_values)
{
using K = int32_t;
using V = TypeParam;
using R = cudf::detail::target_type_t<V, aggregation::MEAN>;
fixed_width_column_wrapper<K> keys { 1, 1, 1};
fixed_width_column_wrapper<V, int> vals ( { 3, 4, 5}, all_null() );
fixed_width_column_wrapper<K> expect_keys { 1 };
fixed_width_column_wrapper<R, int> expect_vals({ 0 }, all_null());
auto agg = cudf::make_mean_aggregation();
test_single_agg(keys, vals, expect_keys, expect_vals, std::move(agg));
}
TYPED_TEST(groupby_mean_test, null_keys_and_values)
{
using K = int32_t;
using V = TypeParam;
using R = cudf::detail::target_type_t<V, aggregation::MEAN>;
using RT = typename std::conditional<cudf::is_duration<R>(), int, double>::type;
fixed_width_column_wrapper<K> keys( { 1, 2, 3, 1, 2, 2, 1, 3, 3, 2, 4},
{ 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1});
fixed_width_column_wrapper<V, int> vals( { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 4},
{ 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0});
// { 1, 1, 2, 2, 2, 3, 3, 4}
fixed_width_column_wrapper<K> expect_keys({ 1, 2, 3, 4}, all_valid());
// { 3, 6, 1, 4, 9, 2, 8, -}
std::vector<RT> expect_v = convert<RT>({ 4.5, 14./3, 5., 0.});
fixed_width_column_wrapper<R, RT> expect_vals(expect_v.cbegin(), expect_v.cend(),
{ 1, 1, 1, 0});
auto agg = cudf::make_mean_aggregation();
test_single_agg(keys, vals, expect_keys, expect_vals, std::move(agg));
}
// clang-format on
struct groupby_dictionary_mean_test : public cudf::test::BaseFixture {
};
// This tests will not work until the following ptxas bug is fixed in 10.2
// https://nvbugswb.nvidia.com/NvBugs5/SWBug.aspx?bugid=3186317&cp=
TEST_F(groupby_dictionary_mean_test, DISABLED_basic)
{
using K = int32_t;
using V = int16_t;
using R = cudf::detail::target_type_t<V, aggregation::MEAN>;
// clang-format off
fixed_width_column_wrapper<K> keys{ 1, 2, 3, 1, 2, 2, 1, 3, 3, 2};
dictionary_column_wrapper<V, int> vals{ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9};
fixed_width_column_wrapper<K> expect_keys({ 1, 2, 3 });
fixed_width_column_wrapper<R, double> expect_vals({ 9./3, 19./4, 17./3});
// clang-format on
test_single_agg(keys, vals, expect_keys, expect_vals, cudf::make_mean_aggregation());
}
} // namespace test
} // namespace cudf