16a394da0e
Currently, there are some useless includes in the codebase. We can use a tool named include-what-you-use to optimize these includes. By using a strict include-what-you-use policy, we can get lots of benefits from it.
85 lines
3.7 KiB
C++
85 lines
3.7 KiB
C++
// Licensed to the Apache Software Foundation (ASF) under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing,
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// software distributed under the License is distributed on an
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// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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// KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations
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// under the License.
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#include <stdint.h>
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#include <iomanip>
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#include <string>
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#include <vector>
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#include "common/status.h"
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#include "function_test_util.h"
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#include "gtest/gtest_pred_impl.h"
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#include "testutil/any_type.h"
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#include "vec/core/types.h"
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#include "vec/data_types/data_type_nullable.h"
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#include "vec/data_types/data_type_number.h"
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#include "vec/data_types/data_type_time.h"
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namespace doris::vectorized {
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using namespace ut_type;
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TEST(FunctionRunningDifferenceTest, function_running_difference_test) {
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std::string func_name = "running_difference";
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{
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InputTypeSet input_types = {TypeIndex::Int32};
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DataSet data_set = {{{Null()}, Null()},
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{{(int32_t)1}, Null()},
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{{(int32_t)2}, (int64_t)1},
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{{(int32_t)3}, (int64_t)1},
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{{(int32_t)5}, (int64_t)2}};
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check_function<DataTypeInt64, true>(func_name, input_types, data_set);
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}
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{
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InputTypeSet input_types = {TypeIndex::Float64};
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DataSet data_set = {{{(double)0.0}, (double)0.0},
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{{Null()}, Null()},
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{{(double)2.33}, Null()},
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{{(double)8.45}, (double)6.12},
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{{(double)4.22}, (double)-4.23}};
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check_function<DataTypeFloat64, true>(func_name, input_types, data_set);
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}
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{
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InputTypeSet input_types = {TypeIndex::DateTime};
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DataSet data_set = {{{std::string("2019-07-18 12:00:00")}, (double)0.0},
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{{std::string("2019-07-18 12:00:05")}, (double)5.0},
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{{std::string("2019-07-18 12:00:06")}, (double)1.0},
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{{std::string("2019-07-18 12:00:08")}, (double)2.0},
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{{std::string("2019-07-18 12:00:10")}, (double)2.0}};
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check_function<DataTypeTime, true>(func_name, input_types, data_set);
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}
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{
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InputTypeSet input_types = {TypeIndex::Date};
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DataSet data_set = {{{std::string("2019-07-18")}, (int32_t)0},
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{{std::string("2019-08-19")}, (int32_t)32},
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{{std::string("2019-07-20")}, (int32_t)-30},
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{{std::string("2019-07-22")}, (int32_t)2},
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{{std::string("2019-08-01")}, (int32_t)10}};
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check_function<DataTypeInt32, true>(func_name, input_types, data_set);
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}
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{
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InputTypeSet input_types = {TypeIndex::Date};
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DataSet data_set = {{{Null()}, Null()},
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{{std::string("2019-08-19")}, Null()},
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{{std::string("2019-07-20")}, (int32_t)-30},
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{{std::string("2019-07-22")}, (int32_t)2},
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{{std::string("2019-08-01")}, (int32_t)10}};
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check_function<DataTypeInt32, true>(func_name, input_types, data_set);
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}
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}
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} // namespace doris::vectorized
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