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https://github.com/ClickHouse/ClickHouse.git
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523 lines
12 KiB
C++
523 lines
12 KiB
C++
#pragma once
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#include <cstring>
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#include <cmath>
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#include <DB/Common/Exception.h>
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#include <DB/Common/Arena.h>
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#include <DB/Common/SipHash.h>
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#include <DB/IO/WriteBuffer.h>
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#include <DB/IO/WriteHelpers.h>
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#include <DB/Columns/IColumn.h>
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#if __SSE2__
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#include <emmintrin.h>
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#endif
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namespace DB
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{
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namespace ErrorCodes
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{
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extern const int PARAMETER_OUT_OF_BOUND;
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extern const int SIZES_OF_COLUMNS_DOESNT_MATCH;
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}
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/** Stuff for comparing numbers.
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* Integer values are compared as usual.
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* Floating-point numbers are compared this way that NaNs always end up at the end
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* (if you don't do this, the sort would not work at all).
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*/
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template <typename T>
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struct CompareHelper
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{
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static bool less(T a, T b) { return a < b; }
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static bool greater(T a, T b) { return a > b; }
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/** Compares two numbers. Returns a number less than zero, equal to zero, or greater than zero if a < b, a == b, a > b, respectively.
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* If one of the values is NaN, then
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* - if nan_direction_hint == -1 - NaN are considered less than all numbers;
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* - if nan_direction_hint == 1 - NaN are considered to be larger than all numbers;
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* Essentially: nan_direction_hint == -1 says that the comparison is for sorting in descending order.
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*/
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static int compare(T a, T b, int nan_direction_hint)
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{
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return a > b ? 1 : (a < b ? -1 : 0);
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}
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};
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template <typename T>
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struct FloatCompareHelper
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{
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static bool less(T a, T b)
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{
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if (unlikely(std::isnan(b)))
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return !std::isnan(a);
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return a < b;
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}
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static bool greater(T a, T b)
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{
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if (unlikely(std::isnan(b)))
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return !std::isnan(a);
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return a > b;
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}
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static int compare(T a, T b, int nan_direction_hint)
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{
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bool isnan_a = std::isnan(a);
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bool isnan_b = std::isnan(b);
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if (unlikely(isnan_a || isnan_b))
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{
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if (isnan_a && isnan_b)
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return 0;
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return isnan_a
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? nan_direction_hint
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: -nan_direction_hint;
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}
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return (T(0) < (a - b)) - ((a - b) < T(0));
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}
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};
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template <> struct CompareHelper<Float32> : public FloatCompareHelper<Float32> {};
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template <> struct CompareHelper<Float64> : public FloatCompareHelper<Float64> {};
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/** To implement `get64` function.
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*/
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template <typename T>
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inline UInt64 unionCastToUInt64(T x) { return x; }
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template <> inline UInt64 unionCastToUInt64(Float64 x)
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{
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union
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{
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Float64 src;
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UInt64 res;
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};
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src = x;
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return res;
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}
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template <> inline UInt64 unionCastToUInt64(Float32 x)
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{
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union
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{
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Float32 src;
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UInt64 res;
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};
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res = 0;
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src = x;
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return res;
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}
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/// To be sure, that this function is zero-cost for non-floating point types.
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template <typename T>
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inline bool isNaN(T x)
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{
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return std::is_floating_point<T>::value ? std::isnan(x) : false;
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}
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template <typename T>
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typename std::enable_if<std::is_floating_point<T>::value, T>::type NaNOrZero()
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{
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return std::numeric_limits<T>::quiet_NaN();
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}
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template <typename T>
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typename std::enable_if<!std::is_floating_point<T>::value, T>::type NaNOrZero()
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{
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return 0;
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}
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/** A pattern of columns that use a simple array to store.
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*/
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template <typename T>
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class ColumnVector final : public IColumn
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{
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private:
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using Self = ColumnVector<T>;
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public:
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using value_type = T;
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using Container_t = PaddedPODArray<value_type>;
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ColumnVector() {}
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ColumnVector(const size_t n) : data{n} {}
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ColumnVector(const size_t n, const value_type x) : data{n, x} {}
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bool isNumeric() const override { return IsNumber<T>::value; }
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bool isFixed() const override { return IsNumber<T>::value; }
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size_t sizeOfField() const override { return sizeof(T); }
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size_t size() const override
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{
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return data.size();
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}
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StringRef getDataAt(size_t n) const override
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{
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return StringRef(reinterpret_cast<const char *>(&data[n]), sizeof(data[n]));
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}
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void insertFrom(const IColumn & src, size_t n) override
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{
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data.push_back(static_cast<const Self &>(src).getData()[n]);
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}
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void insertData(const char * pos, size_t length) override
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{
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data.push_back(*reinterpret_cast<const T *>(pos));
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}
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void insertDefault() override
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{
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data.push_back(T());
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}
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void popBack(size_t n) override
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{
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data.resize_assume_reserved(data.size() - n);
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}
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StringRef serializeValueIntoArena(size_t n, Arena & arena, char const *& begin) const override
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{
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auto pos = arena.allocContinue(sizeof(T), begin);
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memcpy(pos, &data[n], sizeof(T));
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return StringRef(pos, sizeof(T));
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}
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const char * deserializeAndInsertFromArena(const char * pos) override
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{
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data.push_back(*reinterpret_cast<const T *>(pos));
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return pos + sizeof(T);
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}
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void updateHashWithValue(size_t n, SipHash & hash) const override
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{
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hash.update(reinterpret_cast<const char *>(&data[n]), sizeof(T));
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}
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size_t byteSize() const override
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{
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return data.size() * sizeof(data[0]);
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}
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size_t allocatedSize() const override
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{
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return data.allocated_size() * sizeof(data[0]);
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}
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void insert(const T value)
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{
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data.push_back(value);
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}
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int compareAt(size_t n, size_t m, const IColumn & rhs_, int nan_direction_hint) const override
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{
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return CompareHelper<T>::compare(data[n], static_cast<const Self &>(rhs_).data[m], nan_direction_hint);
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}
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struct less
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{
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const Self & parent;
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less(const Self & parent_) : parent(parent_) {}
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bool operator()(size_t lhs, size_t rhs) const { return CompareHelper<T>::less(parent.data[lhs], parent.data[rhs]); }
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};
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struct greater
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{
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const Self & parent;
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greater(const Self & parent_) : parent(parent_) {}
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bool operator()(size_t lhs, size_t rhs) const { return CompareHelper<T>::greater(parent.data[lhs], parent.data[rhs]); }
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};
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void getPermutation(bool reverse, size_t limit, Permutation & res) const override
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{
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size_t s = data.size();
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res.resize(s);
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for (size_t i = 0; i < s; ++i)
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res[i] = i;
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if (limit >= s)
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limit = 0;
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if (limit)
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{
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if (reverse)
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std::partial_sort(res.begin(), res.begin() + limit, res.end(), greater(*this));
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else
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std::partial_sort(res.begin(), res.begin() + limit, res.end(), less(*this));
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}
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else
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{
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if (reverse)
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std::sort(res.begin(), res.end(), greater(*this));
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else
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std::sort(res.begin(), res.end(), less(*this));
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}
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}
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void reserve(size_t n) override
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{
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data.reserve(n);
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}
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std::string getName() const override { return "ColumnVector<" + TypeName<T>::get() + ">"; }
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ColumnPtr cloneResized(size_t size) const override
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{
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ColumnPtr new_col_holder = std::make_shared<Self>();
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if (size > 0)
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{
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auto & new_col = static_cast<Self &>(*new_col_holder);
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new_col.data.resize(size);
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size_t count = std::min(this->size(), size);
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memcpy(&new_col.data[0], &data[0], count * sizeof(data[0]));
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if (size > count)
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memset(&new_col.data[count], value_type(), size - count);
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}
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return new_col_holder;
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}
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Field operator[](size_t n) const override
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{
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return typename NearestFieldType<T>::Type(data[n]);
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}
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void get(size_t n, Field & res) const override
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{
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res = typename NearestFieldType<T>::Type(data[n]);
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}
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const T & getElement(size_t n) const
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{
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return data[n];
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}
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T & getElement(size_t n)
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{
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return data[n];
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}
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UInt64 get64(size_t n) const override
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{
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return unionCastToUInt64(data[n]);
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}
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void insert(const Field & x) override
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{
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data.push_back(DB::get<typename NearestFieldType<T>::Type>(x));
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}
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void insertRangeFrom(const IColumn & src, size_t start, size_t length) override
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{
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const ColumnVector & src_vec = static_cast<const ColumnVector &>(src);
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if (start + length > src_vec.data.size())
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throw Exception("Parameters start = "
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+ toString(start) + ", length = "
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+ toString(length) + " are out of bound in ColumnVector::insertRangeFrom method"
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" (data.size() = " + toString(src_vec.data.size()) + ").",
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ErrorCodes::PARAMETER_OUT_OF_BOUND);
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size_t old_size = data.size();
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data.resize(old_size + length);
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memcpy(&data[old_size], &src_vec.data[start], length * sizeof(data[0]));
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}
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ColumnPtr filter(const IColumn::Filter & filt, ssize_t result_size_hint) const override
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{
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size_t size = data.size();
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if (size != filt.size())
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throw Exception("Size of filter doesn't match size of column.", ErrorCodes::SIZES_OF_COLUMNS_DOESNT_MATCH);
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std::shared_ptr<Self> res = std::make_shared<Self>();
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typename Self::Container_t & res_data = res->getData();
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if (result_size_hint)
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res_data.reserve(result_size_hint > 0 ? result_size_hint : size);
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const UInt8 * filt_pos = &filt[0];
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const UInt8 * filt_end = filt_pos + size;
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const T * data_pos = &data[0];
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#if __SSE2__
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/** A slightly more optimized version.
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* Based on the assumption that often pieces of consecutive values
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* completely pass or do not pass the filter completely.
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* Therefore, we will optimistically check the parts of `SIMD_BYTES` values.
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*/
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static constexpr size_t SIMD_BYTES = 16;
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const __m128i zero16 = _mm_setzero_si128();
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const UInt8 * filt_end_sse = filt_pos + size / SIMD_BYTES * SIMD_BYTES;
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while (filt_pos < filt_end_sse)
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{
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int mask = _mm_movemask_epi8(_mm_cmpgt_epi8(_mm_loadu_si128(reinterpret_cast<const __m128i *>(filt_pos)), zero16));
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if (0 == mask)
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{
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/// Nothing is inserted.
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}
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else if (0xFFFF == mask)
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{
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res_data.insert(data_pos, data_pos + SIMD_BYTES);
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}
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else
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{
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for (size_t i = 0; i < SIMD_BYTES; ++i)
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if (filt_pos[i])
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res_data.push_back(data_pos[i]);
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}
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filt_pos += SIMD_BYTES;
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data_pos += SIMD_BYTES;
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}
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#endif
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while (filt_pos < filt_end)
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{
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if (*filt_pos)
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res_data.push_back(*data_pos);
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++filt_pos;
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++data_pos;
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}
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return res;
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}
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ColumnPtr permute(const IColumn::Permutation & perm, size_t limit) const override
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{
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size_t size = data.size();
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if (limit == 0)
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limit = size;
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else
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limit = std::min(size, limit);
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if (perm.size() < limit)
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throw Exception("Size of permutation is less than required.", ErrorCodes::SIZES_OF_COLUMNS_DOESNT_MATCH);
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std::shared_ptr<Self> res = std::make_shared<Self>(limit);
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typename Self::Container_t & res_data = res->getData();
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for (size_t i = 0; i < limit; ++i)
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res_data[i] = data[perm[i]];
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return res;
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}
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ColumnPtr replicate(const IColumn::Offsets_t & offsets) const override
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{
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size_t size = data.size();
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if (size != offsets.size())
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throw Exception("Size of offsets doesn't match size of column.", ErrorCodes::SIZES_OF_COLUMNS_DOESNT_MATCH);
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if (0 == size)
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return std::make_shared<Self>();
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std::shared_ptr<Self> res = std::make_shared<Self>();
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typename Self::Container_t & res_data = res->getData();
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res_data.reserve(offsets.back());
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IColumn::Offset_t prev_offset = 0;
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for (size_t i = 0; i < size; ++i)
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{
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size_t size_to_replicate = offsets[i] - prev_offset;
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prev_offset = offsets[i];
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for (size_t j = 0; j < size_to_replicate; ++j)
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res_data.push_back(data[i]);
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}
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return res;
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}
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void getExtremes(Field & min, Field & max) const override
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{
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size_t size = data.size();
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if (size == 0)
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{
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min = typename NearestFieldType<T>::Type(0);
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max = typename NearestFieldType<T>::Type(0);
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return;
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}
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bool has_value = false;
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/** Skip all NaNs in extremes calculation.
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* If all values are NaNs, then return NaN.
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* NOTE: There exist many different NaNs.
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* Different NaN could be returned: not bit-exact value as one of NaNs from column.
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*/
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T cur_min = NaNOrZero<T>();
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T cur_max = NaNOrZero<T>();
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for (const T x : data)
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{
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if (isNaN(x))
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continue;
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if (!has_value)
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{
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cur_min = x;
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cur_max = x;
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has_value = true;
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continue;
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}
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if (x < cur_min)
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cur_min = x;
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if (x > cur_max)
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cur_max = x;
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}
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min = typename NearestFieldType<T>::Type(cur_min);
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max = typename NearestFieldType<T>::Type(cur_max);
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}
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Columns scatter(ColumnIndex num_columns, const Selector & selector) const override
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{
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return this->scatterImpl<Self>(num_columns, selector);
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}
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/** More efficient methods of manipulation - to manipulate with data directly. */
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Container_t & getData()
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{
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return data;
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}
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const Container_t & getData() const
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{
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return data;
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}
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protected:
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Container_t data;
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};
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}
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