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fix bug with CumSum and fix style
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f8f71f7327
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@ -17,7 +17,7 @@ void registerFunctionsHigherOrder(FunctionFactory & factory)
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factory.registerFunction<FunctionArraySort>();
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factory.registerFunction<FunctionArrayReverseSort>();
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factory.registerFunction<FunctionArrayCumSum>();
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factory.registerFunction<FunctionArrayCumSumLimited>();
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factory.registerFunction<FunctionArrayCumSumNonNegative>();
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factory.registerFunction<FunctionArrayDifference>();
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}
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@ -28,7 +28,7 @@ namespace ErrorCodes
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* arrayCount(x1,...,xn -> expression, array1,...,arrayn) - for how many elements of the array the expression is true.
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* arrayExists(x1,...,xn -> expression, array1,...,arrayn) - is the expression true for at least one array element.
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* arrayAll(x1,...,xn -> expression, array1,...,arrayn) - is the expression true for all elements of the array.
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* arrayCumSumLimited() - returns an array with cumulative sums of the original. (If value < 0 -> 0).
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* arrayCumSumNonNegative() - returns an array with cumulative sums of the original. (If value < 0 -> 0).
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* arrayDifference() - returns an array with the difference between all pairs of neighboring elements.
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*
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* For functions arrayCount, arrayExists, arrayAll, an overload of the form f(array) is available, which works in the same way as f(x -> x, array).
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@ -709,6 +709,7 @@ struct ArrayCumSumImpl
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struct ArrayDifferenceImpl
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{
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static bool useDefaultImplementationForConstants() { return true; }
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static bool needBoolean() { return false; }
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static bool needExpression() { return false; }
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static bool needOneArray() { return false; }
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@ -716,11 +717,15 @@ struct ArrayDifferenceImpl
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static DataTypePtr getReturnType(const DataTypePtr & expression_return, const DataTypePtr & /*array_element*/)
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{
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if (checkDataType<DataTypeUInt8>(&*expression_return) ||
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checkDataType<DataTypeUInt16>(&*expression_return) ||
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checkDataType<DataTypeUInt32>(&*expression_return) ||
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checkDataType<DataTypeInt8>(&*expression_return))
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return std::make_shared<DataTypeArray>(std::make_shared<DataTypeInt16>());
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if (checkDataType<DataTypeUInt16>(&*expression_return) ||
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checkDataType<DataTypeInt16>(&*expression_return))
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return std::make_shared<DataTypeArray>(std::make_shared<DataTypeInt32>());
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if (checkDataType<DataTypeUInt32>(&*expression_return) ||
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checkDataType<DataTypeUInt64>(&*expression_return) ||
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checkDataType<DataTypeInt8>(&*expression_return) ||
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checkDataType<DataTypeInt16>(&*expression_return) ||
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checkDataType<DataTypeInt32>(&*expression_return) ||
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checkDataType<DataTypeInt64>(&*expression_return))
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return std::make_shared<DataTypeArray>(std::make_shared<DataTypeInt64>());
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@ -739,35 +744,7 @@ struct ArrayDifferenceImpl
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const ColumnVector<Element> * column = checkAndGetColumn<ColumnVector<Element>>(&*mapped);
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if (!column)
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{
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const ColumnConst * column_const = checkAndGetColumnConst<ColumnVector<Element>>(&*mapped);
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if (!column_const)
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return false;
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const IColumn::Offsets & offsets = array.getOffsets();
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auto res_nested = ColumnVector<Result>::create();
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typename ColumnVector<Result>::Container & res_values = res_nested->getData();
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res_values.resize(column_const->size());
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size_t pos = 0;
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for (size_t i = 0; i < offsets.size(); ++i)
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{
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// skip empty arrays
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if (pos < offsets[i])
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{
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res_values[pos++] = 0;
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for (; pos < offsets[i]; ++pos)
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{
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res_values[pos] = 0;
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}
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}
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}
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res_ptr = ColumnArray::create(std::move(res_nested), array.getOffsetsPtr());
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return true;
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}
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return false;
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const IColumn::Offsets & offsets = array.getOffsets();
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const typename ColumnVector<Element>::Container & data = column->getData();
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@ -798,12 +775,12 @@ struct ArrayDifferenceImpl
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{
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ColumnPtr res;
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if (executeType< UInt8 , Int64>(mapped, array, res) ||
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executeType< UInt16, Int64>(mapped, array, res) ||
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if (executeType< UInt8 , Int16>(mapped, array, res) ||
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executeType< UInt16, Int32>(mapped, array, res) ||
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executeType< UInt32, Int64>(mapped, array, res) ||
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executeType< UInt64, Int64>(mapped, array, res) ||
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executeType< Int8 , Int64>(mapped, array, res) ||
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executeType< Int16, Int64>(mapped, array, res) ||
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executeType< Int8 , Int16>(mapped, array, res) ||
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executeType< Int16, Int32>(mapped, array, res) ||
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executeType< Int32, Int64>(mapped, array, res) ||
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executeType< Int64, Int64>(mapped, array, res) ||
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executeType<Float32,Float64>(mapped, array, res) ||
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@ -816,8 +793,9 @@ struct ArrayDifferenceImpl
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};
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struct ArrayCumSumLimitedImpl
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struct ArrayCumSumNonNegativeImpl
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{
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static bool useDefaultImplementationForConstants() { return true; }
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static bool needBoolean() { return false; }
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static bool needExpression() { return false; }
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static bool needOneArray() { return false; }
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@ -840,7 +818,7 @@ struct ArrayCumSumLimitedImpl
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checkDataType<DataTypeFloat64>(&*expression_return))
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return std::make_shared<DataTypeArray>(std::make_shared<DataTypeFloat64>());
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throw Exception("arrayCumSumLimited cannot add values of type " + expression_return->getName(), ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
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throw Exception("arrayCumSumNonNegativeImpl cannot add values of type " + expression_return->getName(), ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
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}
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@ -850,39 +828,7 @@ struct ArrayCumSumLimitedImpl
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const ColumnVector<Element> * column = checkAndGetColumn<ColumnVector<Element>>(&*mapped);
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if (!column)
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{
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const ColumnConst * column_const = checkAndGetColumnConst<ColumnVector<Element>>(&*mapped);
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if (!column_const)
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return false;
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const Element x = column_const->template getValue<Element>();
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const IColumn::Offsets & offsets = array.getOffsets();
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auto res_nested = ColumnVector<Result>::create();
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typename ColumnVector<Result>::Container & res_values = res_nested->getData();
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res_values.resize(column_const->size());
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size_t pos = 0;
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for (size_t i = 0; i < offsets.size(); ++i)
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{
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// skip empty arrays
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if (pos < offsets[i])
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{
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res_values[pos++] = x;
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for (; pos < offsets[i]; ++pos)
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{
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res_values[pos] = res_values[pos - 1] + x;
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if(res_values[pos] < 0){
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res_values[pos] = 0;
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}
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}
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}
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}
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res_ptr = ColumnArray::create(std::move(res_nested), array.getOffsetsPtr());
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return true;
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}
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return false;
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const IColumn::Offsets & offsets = array.getOffsets();
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const typename ColumnVector<Element>::Container & data = column->getData();
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@ -892,18 +838,19 @@ struct ArrayCumSumLimitedImpl
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res_values.resize(data.size());
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size_t pos = 0;
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Result accum_sum = 0;
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for (size_t i = 0; i < offsets.size(); ++i)
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{
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// skip empty arrays
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if (pos < offsets[i])
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{
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res_values[pos] = data[pos];
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accum_sum = data[pos];
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res_values[pos] = accum_sum > 0 ? accum_sum : 0;
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for (++pos; pos < offsets[i]; ++pos)
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{
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res_values[pos] = res_values[pos - 1] + data[pos];
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if(res_values[pos] < 0){
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res_values[pos] = 0;
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}
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accum_sum = accum_sum + data[pos];
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res_values[pos] = accum_sum > 0 ? accum_sum : 0;
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}
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}
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}
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@ -928,7 +875,7 @@ struct ArrayCumSumLimitedImpl
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executeType<Float64,Float64>(mapped, array, res))
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return res;
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else
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throw Exception("Unexpected column for arrayCumSumLimited: " + mapped->getName());
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throw Exception("Unexpected column for arrayCumSumNonNegativeImpl: " + mapped->getName());
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}
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};
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@ -1186,7 +1133,7 @@ struct NameArrayFirstIndex { static constexpr auto name = "arrayFirstIndex"; };
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struct NameArraySort { static constexpr auto name = "arraySort"; };
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struct NameArrayReverseSort { static constexpr auto name = "arrayReverseSort"; };
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struct NameArrayCumSum { static constexpr auto name = "arrayCumSum"; };
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struct NameArrayCumSumLimited { static constexpr auto name = "arrayCumSumLimited"; };
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struct NameArrayCumSumNonNegative { static constexpr auto name = "arrayCumSumNonNegative"; };
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struct NameArrayDifference { static constexpr auto name = "arrayDifference"; };
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using FunctionArrayMap = FunctionArrayMapped<ArrayMapImpl, NameArrayMap>;
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@ -1200,7 +1147,7 @@ using FunctionArrayFirstIndex = FunctionArrayMapped<ArrayFirstIndexImpl, NameArr
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using FunctionArraySort = FunctionArrayMapped<ArraySortImpl<true>, NameArraySort>;
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using FunctionArrayReverseSort = FunctionArrayMapped<ArraySortImpl<false>, NameArrayReverseSort>;
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using FunctionArrayCumSum = FunctionArrayMapped<ArrayCumSumImpl, NameArrayCumSum>;
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using FunctionArrayCumSumLimited = FunctionArrayMapped<ArrayCumSumLimitedImpl, NameArrayCumSumLimited>;
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using FunctionArrayCumSumNonNegative = FunctionArrayMapped<ArrayCumSumNonNegativeImpl, NameArrayCumSumNonNegative>;
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using FunctionArrayDifference = FunctionArrayMapped<ArrayDifferenceImpl, NameArrayDifference>;
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}
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@ -1,8 +1,8 @@
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[1,3,6,10]
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[1,0,5,3]
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[1,0,1,0]
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[0,1,1,1]
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[0,6,93,-95]
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[1,0,0,1]
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[1,0,0,0]
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[1,1.4,1.2999999999999998]
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[1, 4, 5]
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[0,-4,3,1]
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@ -1,8 +1,8 @@
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DROP TABLE IF EXISTS test.test;
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SELECT arrayCumSumLimited([1, 2, 3, 4]);
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SELECT arrayCumSumNonNegative([1, 2, 3, 4]);
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SELECT arrayCumSumLimited([1, -5, 5, -2]);
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SELECT arrayCumSumNonNegative([1, -5, 5, -2]);
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SELECT arrayDifference([1, 2, 3, 4]);
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@ -12,11 +12,11 @@ CREATE TABLE test.test(a Array(Int64), b Array(Float64), c Array(UInt64)) ENGINE
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INSERT INTO test.test VALUES ([1, -3, 0, 1], [1.0, 0.4, -0.1], [1, 3, 1]);
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SELECT arrayCumSumLimited(a) FROM test.test;
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SELECT arrayCumSumNonNegative(a) FROM test.test;
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SELECT arrayCumSumLimited(b) FROM test.test;
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SELECT arrayCumSumNonNegative(b) FROM test.test;
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SELECT arrayCumSumLimited(c) FROM test.test;
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SELECT arrayCumSumNonNegative(c) FROM test.test;
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SELECT arrayDifference(a) FROM test.test;
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