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Merge branch 'master' into remove-trash-5
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commit
bafc5f24c7
@ -1,12 +1,18 @@
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#include <AggregateFunctions/AggregateFunctionCategoricalInformationValue.h>
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#include <AggregateFunctions/IAggregateFunction.h>
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#include <AggregateFunctions/AggregateFunctionFactory.h>
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#include <AggregateFunctions/FactoryHelpers.h>
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#include <AggregateFunctions/Helpers.h>
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#include <Columns/ColumnArray.h>
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#include <Columns/ColumnsNumber.h>
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#include <DataTypes/DataTypeArray.h>
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#include <DataTypes/DataTypesNumber.h>
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#include <IO/ReadHelpers.h>
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#include <IO/WriteHelpers.h>
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namespace DB
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{
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struct Settings;
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namespace ErrorCodes
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@ -15,6 +21,136 @@ namespace ErrorCodes
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extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH;
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}
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/** The function takes arguments x1, x2, ... xn, y. All arguments are bool.
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* x arguments represents the fact that some category is true.
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*
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* It calculates how many times y was true and how many times y was false when every n-th category was true
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* and the total number of times y was true and false.
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*
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* So, the size of the state is (n + 1) * 2 cells.
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*/
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class AggregateFunctionCategoricalIV final : public IAggregateFunctionHelper<AggregateFunctionCategoricalIV>
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{
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private:
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using Counter = UInt64;
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size_t category_count;
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Counter & counter(AggregateDataPtr __restrict place, size_t i, bool what) const
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{
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return reinterpret_cast<Counter *>(place)[i * 2 + (what ? 1 : 0)];
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}
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const Counter & counter(ConstAggregateDataPtr __restrict place, size_t i, bool what) const
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{
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return reinterpret_cast<const Counter *>(place)[i * 2 + (what ? 1 : 0)];
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}
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public:
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AggregateFunctionCategoricalIV(const DataTypes & arguments_, const Array & params_) :
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IAggregateFunctionHelper<AggregateFunctionCategoricalIV>{arguments_, params_},
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category_count{arguments_.size() - 1}
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{
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// notice: argument types has been checked before
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}
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String getName() const override
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{
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return "categoricalInformationValue";
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}
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bool allocatesMemoryInArena() const override { return false; }
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void create(AggregateDataPtr __restrict place) const override
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{
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memset(place, 0, sizeOfData());
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}
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void destroy(AggregateDataPtr __restrict) const noexcept override
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{
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// nothing
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}
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bool hasTrivialDestructor() const override
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{
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return true;
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}
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size_t sizeOfData() const override
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{
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return sizeof(Counter) * (category_count + 1) * 2;
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}
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size_t alignOfData() const override
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{
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return alignof(Counter);
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}
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void add(AggregateDataPtr __restrict place, const IColumn ** columns, size_t row_num, Arena *) const override
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{
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const auto * y_col = static_cast<const ColumnUInt8 *>(columns[category_count]);
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bool y = y_col->getData()[row_num];
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for (size_t i = 0; i < category_count; ++i)
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{
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const auto * x_col = static_cast<const ColumnUInt8 *>(columns[i]);
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bool x = x_col->getData()[row_num];
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if (x)
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++counter(place, i, y);
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}
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++counter(place, category_count, y);
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}
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void merge(AggregateDataPtr __restrict place, ConstAggregateDataPtr rhs, Arena *) const override
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{
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for (size_t i = 0; i <= category_count; ++i)
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{
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counter(place, i, false) += counter(rhs, i, false);
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counter(place, i, true) += counter(rhs, i, true);
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}
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}
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void serialize(ConstAggregateDataPtr __restrict place, WriteBuffer & buf, std::optional<size_t> /* version */) const override
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{
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buf.write(place, sizeOfData());
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}
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void deserialize(AggregateDataPtr __restrict place, ReadBuffer & buf, std::optional<size_t> /* version */, Arena *) const override
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{
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buf.read(place, sizeOfData());
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}
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DataTypePtr getReturnType() const override
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{
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return std::make_shared<DataTypeArray>(
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std::make_shared<DataTypeNumber<Float64>>());
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}
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void insertResultInto(AggregateDataPtr __restrict place, IColumn & to, Arena *) const override /// NOLINT
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{
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auto & col = static_cast<ColumnArray &>(to);
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auto & data_col = static_cast<ColumnFloat64 &>(col.getData());
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auto & offset_col = static_cast<ColumnArray::ColumnOffsets &>(col.getOffsetsColumn());
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data_col.reserve(data_col.size() + category_count);
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Float64 sum_no = static_cast<Float64>(counter(place, category_count, false));
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Float64 sum_yes = static_cast<Float64>(counter(place, category_count, true));
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for (size_t i = 0; i < category_count; ++i)
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{
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Float64 no = static_cast<Float64>(counter(place, i, false));
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Float64 yes = static_cast<Float64>(counter(place, i, true));
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data_col.insertValue((no / sum_no - yes / sum_yes) * (log((no / sum_no) / (yes / sum_yes))));
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}
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offset_col.insertValue(data_col.size());
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}
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};
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namespace
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{
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@ -39,16 +175,15 @@ AggregateFunctionPtr createAggregateFunctionCategoricalIV(
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ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
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}
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return std::make_shared<AggregateFunctionCategoricalIV<>>(arguments, params);
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return std::make_shared<AggregateFunctionCategoricalIV>(arguments, params);
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}
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}
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void registerAggregateFunctionCategoricalIV(
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AggregateFunctionFactory & factory
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)
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void registerAggregateFunctionCategoricalIV(AggregateFunctionFactory & factory)
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{
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factory.registerFunction("categoricalInformationValue", createAggregateFunctionCategoricalIV);
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AggregateFunctionProperties properties = { .returns_default_when_only_null = true };
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factory.registerFunction("categoricalInformationValue", { createAggregateFunctionCategoricalIV, properties });
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}
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}
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@ -1,135 +0,0 @@
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#pragma once
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#include <AggregateFunctions/IAggregateFunction.h>
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#include <Columns/ColumnArray.h>
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#include <Columns/ColumnsNumber.h>
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#include <DataTypes/DataTypeArray.h>
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#include <DataTypes/DataTypesNumber.h>
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#include <IO/ReadHelpers.h>
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#include <IO/WriteHelpers.h>
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#include <base/range.h>
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namespace DB
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{
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struct Settings;
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template <typename T = UInt64>
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class AggregateFunctionCategoricalIV final : public IAggregateFunctionHelper<AggregateFunctionCategoricalIV<T>>
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{
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private:
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size_t category_count;
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public:
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AggregateFunctionCategoricalIV(const DataTypes & arguments_, const Array & params_) :
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IAggregateFunctionHelper<AggregateFunctionCategoricalIV<T>> {arguments_, params_},
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category_count {arguments_.size() - 1}
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{
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// notice: argument types has been checked before
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}
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String getName() const override
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{
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return "categoricalInformationValue";
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}
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bool allocatesMemoryInArena() const override { return false; }
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void create(AggregateDataPtr __restrict place) const override
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{
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memset(place, 0, sizeOfData());
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}
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void destroy(AggregateDataPtr __restrict) const noexcept override
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{
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// nothing
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}
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bool hasTrivialDestructor() const override
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{
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return true;
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}
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size_t sizeOfData() const override
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{
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return sizeof(T) * (category_count + 1) * 2;
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}
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size_t alignOfData() const override
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{
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return alignof(T);
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}
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void add(AggregateDataPtr __restrict place, const IColumn ** columns, size_t row_num, Arena *) const override
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{
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const auto * y_col = static_cast<const ColumnUInt8 *>(columns[category_count]);
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bool y = y_col->getData()[row_num];
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for (size_t i : collections::range(0, category_count))
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{
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const auto * x_col = static_cast<const ColumnUInt8 *>(columns[i]);
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bool x = x_col->getData()[row_num];
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if (x)
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reinterpret_cast<T *>(place)[i * 2 + size_t(y)] += 1;
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}
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reinterpret_cast<T *>(place)[category_count * 2 + size_t(y)] += 1;
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}
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void merge(AggregateDataPtr __restrict place, ConstAggregateDataPtr rhs, Arena *) const override
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{
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for (size_t i : collections::range(0, category_count + 1))
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{
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reinterpret_cast<T *>(place)[i * 2] += reinterpret_cast<const T *>(rhs)[i * 2];
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reinterpret_cast<T *>(place)[i * 2 + 1] += reinterpret_cast<const T *>(rhs)[i * 2 + 1];
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}
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}
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void serialize(ConstAggregateDataPtr __restrict place, WriteBuffer & buf, std::optional<size_t> /* version */) const override
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{
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buf.write(place, sizeOfData());
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}
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void deserialize(AggregateDataPtr __restrict place, ReadBuffer & buf, std::optional<size_t> /* version */, Arena *) const override
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{
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buf.read(place, sizeOfData());
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}
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DataTypePtr getReturnType() const override
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{
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return std::make_shared<DataTypeArray>(
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std::make_shared<DataTypeNumber<Float64>>()
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);
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}
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void insertResultInto(AggregateDataPtr __restrict place, IColumn & to, Arena *) const override /// NOLINT
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{
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auto & col = static_cast<ColumnArray &>(to);
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auto & data_col = static_cast<ColumnFloat64 &>(col.getData());
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auto & offset_col = static_cast<ColumnArray::ColumnOffsets &>(
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col.getOffsetsColumn()
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);
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data_col.reserve(data_col.size() + category_count);
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T sum_no = reinterpret_cast<const T *>(place)[category_count * 2];
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T sum_yes = reinterpret_cast<const T *>(place)[category_count * 2 + 1];
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Float64 rev_no = 1. / sum_no;
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Float64 rev_yes = 1. / sum_yes;
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for (size_t i : collections::range(0, category_count))
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{
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T no = reinterpret_cast<const T *>(place)[i * 2];
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T yes = reinterpret_cast<const T *>(place)[i * 2 + 1];
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data_col.insertValue((no * rev_no - yes * rev_yes) * (log(no * rev_no) - log(yes * rev_yes)));
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}
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offset_col.insertValue(data_col.size());
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}
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};
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}
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{
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auto current_offset = offsets_data[i];
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sizes_data[i] = current_offset - prev_offset;
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prev_offset = current_offset;
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prev_offset = current_offset;
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}
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return column_sizes;
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@ -0,0 +1,12 @@
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0.347
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0.5
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0.347
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0.347
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[nan]
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[nan]
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[nan]
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[nan]
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[0]
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\N
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[nan]
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[0,0]
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@ -0,0 +1,14 @@
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SELECT round(arrayJoin(categoricalInformationValue(x.1, x.2)), 3) FROM (SELECT arrayJoin([(0, 0), (NULL, 2), (1, 0), (1, 1)]) AS x);
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SELECT corr(c1, c2) FROM VALUES((0, 0), (NULL, 2), (1, 0), (1, 1));
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SELECT round(arrayJoin(categoricalInformationValue(c1, c2)), 3) FROM VALUES((0, 0), (NULL, 2), (1, 0), (1, 1));
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SELECT round(arrayJoin(categoricalInformationValue(c1, c2)), 3) FROM VALUES((0, 0), (NULL, 1), (1, 0), (1, 1));
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SELECT categoricalInformationValue(c1, c2) FROM VALUES((0, 0), (NULL, 1));
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SELECT categoricalInformationValue(c1, c2) FROM VALUES((NULL, 1)); -- { serverError 43 }
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SELECT categoricalInformationValue(dummy, dummy);
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SELECT categoricalInformationValue(dummy, dummy) WHERE 0;
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SELECT categoricalInformationValue(c1, c2) FROM VALUES((toNullable(0), 0));
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SELECT groupUniqArray(*) FROM VALUES(toNullable(0));
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SELECT groupUniqArray(*) FROM VALUES(NULL);
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SELECT categoricalInformationValue(c1, c2) FROM VALUES((NULL, NULL)); -- { serverError 43 }
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SELECT categoricalInformationValue(c1, c2) FROM VALUES((0, 0), (NULL, 0));
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SELECT quantiles(0.5, 0.9)(c1) FROM VALUES(0::Nullable(UInt8));
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